Corrections

What it said

The page called Roschel 2021 "the largest trial", said a two-year trial "found nothing for postmenopausal women at the frailer end" and said Roschel's result marked "a boundary between healthy aging and clinical frailty that the supplement cannot cross".

What it says now

It says "A separate two-year trial in postmenopausal women found no beneficial effect on muscle strength, though lean mass and walking speed rose", no longer calls the 200-person trial the largest, and gives the reasons the authors suggest for its result.

Why, and the source

In the table of included trials of Sharifian and colleagues (2025), Roschel 2021 had 200 participants and Chilibeck 2023 had 237, so Roschel's trial was not the largest. Chilibeck 2023 was a two-year trial in postmenopausal women aged 59 on average; the authors report that adding creatine to strength training increased lean mass and walking speed but had no beneficial effect on muscle strength. They suggest that these differing results may be attributed to differences between frail and healthy populations' responses to supplementation and to the sensitivity of different testing methods. Our page called the frail trial's result a boundary the supplement cannot cross, placed the women of the two-year trial at the frailer end and said that trial found nothing. Source: Sharifian G, Aseminia P, Heidary D, Esformes JI. Impact of creatine supplementation and exercise training in older adults: a systematic review and meta-analysis. Eur Rev Aging Phys Act. 2025;22:17.

Found by

the Q879 read of the page in full against the paper as Mark pasted it (2026-10-22; sweep backlog/SHARIFIAN_2025_KIDNEY_SWEEP.md)

A creatine claim page showed a quotation its meta-analysis does not contain

What it said

The page quoted the paper as saying creatine "significantly enhanced upper- and lower-body maximal strength in older adults", with a confidence interval of "0.826 to 3.418".

What it says now

It quotes the paper's abstract: "Our findings showed that creatine intake and exercise training significantly affect 1RM (kg) in older adults".

Why, and the source

The sentence our page showed as the words of Sharifian and colleagues (2025) is not in their paper, and the confidence interval in it is not in the paper's text. The page now quotes the paper's abstract. Source: Sharifian G, Aseminia P, Heidary D, Esformes JI. Impact of creatine supplementation and exercise training in older adults: a systematic review and meta-analysis. Eur Rev Aging Phys Act. 2025;22:17.

Found by

the Q879 read of the page in full against the paper as Mark pasted it (2026-10-22; sweep backlog/SHARIFIAN_2025_KIDNEY_SWEEP.md)

A creatine claim page said creatine works independently of hormones, which its meta-analysis does not say

What it said

The page said creatine "doesn't touch your hormones", that "Creatine works through energy, not hormones" and that its mechanism "is independent of hormonal status".

What it says now

It says the review's authors describe creatine as amplifying the effects of training, by increasing the phosphocreatine stored in muscle and by "promoting satellite cell proliferation, IGF-1 recruitment and glycogen accretion".

Why, and the source

Sharifian and colleagues (2025) write that creatine amplifies the effects of exercise training by increasing the phosphocreatine in muscle and by promoting satellite cell proliferation, IGF-1 recruitment and glycogen accretion, in addition to anti-catabolic effects. They do not say it works independently of hormones. Our page told readers it does, and that declining hormone levels do not interfere with it. Source: Sharifian G, Aseminia P, Heidary D, Esformes JI. Impact of creatine supplementation and exercise training in older adults: a systematic review and meta-analysis. Eur Rev Aging Phys Act. 2025;22:17.

Found by

the Q879 read of the page in full against the paper as Mark pasted it (2026-10-22; sweep backlog/SHARIFIAN_2025_KIDNEY_SWEEP.md)

A creatine claim page gave body-fat P values, confidence intervals and a bone-density figure the paper does not report

What it said

The page gave the body-fat result as P=0.033, and P=0.222 without one study, gave confidence intervals such as "95% CI: 0.826 to 3.418", gave bone-density heterogeneity as "I²=84.89%" and called the study whose removal changed the body-fat result "one outlier study".

What it says now

It gives "P = 0.026" and, without that study, "P = 0.393", gives no interval the paper's text does not state, gives bone-density heterogeneity as I²=41% and says the result was "no longer significant when one heavily weighted study was removed".

Why, and the source

Sharifian and colleagues (2025) report the body-fat result as a mean difference of -0.548 percentage points, P = 0.026, and P = 0.393 after removing the study by Eijnde (2003), which they say had a high weight in the analysis. Their text gives no confidence interval for these results or for the strength result, and gives bone-density heterogeneity as I² = 41%. Our page gave other P values, confidence intervals the paper's text does not state, a different heterogeneity figure, and called the Eijnde study an outlier, which the paper does not. Source: Sharifian G, Aseminia P, Heidary D, Esformes JI. Impact of creatine supplementation and exercise training in older adults: a systematic review and meta-analysis. Eur Rev Aging Phys Act. 2025;22:17.

Found by

the Q879 read of the page in full against the paper as Mark pasted it (2026-10-22; sweep backlog/SHARIFIAN_2025_KIDNEY_SWEEP.md)

A creatine claim page cited its meta-analysis under a title the paper does not have

What it said

The evidence list named the study "The effects of creatine supplementation combined with exercise training on body composition and bone health in older adults: a systematic review and meta-analysis of randomized controlled trials".

What it says now

It names it "Impact of creatine supplementation and exercise training in older adults: a systematic review and meta-analysis".

Why, and the source

The paper by Sharifian and colleagues (2025) is titled "Impact of creatine supplementation and exercise training in older adults: a systematic review and meta-analysis". Our page carried a title that no paper of theirs has. Source: Sharifian G, Aseminia P, Heidary D, Esformes JI. Impact of creatine supplementation and exercise training in older adults: a systematic review and meta-analysis. Eur Rev Aging Phys Act. 2025;22:17.

Found by

the Q879 read of the page in full against the paper as Mark pasted it (2026-10-22; sweep backlog/SHARIFIAN_2025_KIDNEY_SWEEP.md)

A creatine claim page told the authors' note on earlier trials as zero kidney and liver events across the review's own twenty trials

What it said

The page said "Zero kidney or liver adverse events were reported across studies lasting up to two years", "Every study tracked kidney and liver health." and that a higher creatinine reading is "not kidney damage".

What it says now

It says "The review did not pool adverse events", that its authors note that in previous studies no adverse kidney and liver function events have been associated with the creatine dose regimens of earlier trials in older adults, and that they call for longitudinal studies of long-term use.

Why, and the source

Sharifian and colleagues (2025) pooled maximal strength, bone mineral density and body fat across their twenty trials; they did not count adverse events. Their discussion notes that in previous studies no adverse kidney and liver function events have been associated with the dose regimens they describe, and that no serious adverse effects were noted for up to two years in the studies they cite. They call for longitudinal studies of the adverse effects of long-term use, particularly since kidney and liver function is lower in older adults. Our page told that note as a result of the review's own twenty trials, and added lines about the blood marker creatinine that no source on the page supports. An earlier correction (2026-10-22-creatine-study-earlier-trials-note-told-as-zero-kidney-events) fixed the same error on the study page. Source: Sharifian G, Aseminia P, Heidary D, Esformes JI. Impact of creatine supplementation and exercise training in older adults: a systematic review and meta-analysis. Eur Rev Aging Phys Act. 2025;22:17.

Found by

LFG3 batch b3a's full read (Q740, 2026-10-20, lead K1) and the Q761 Rule 30 map, then the Q879 read of the page against the paper as Mark pasted it

A creatine study page told the authors' note on earlier trials as zero kidney and liver events across the review's own twenty trials

StudyCreatine After 60: What 20 Studies Found About Legs

What it said

The page said "Across the twenty trials in this meta-analysis, zero adverse kidney or liver events were reported, in studies lasting up to two years", "Zero kidney or liver events in two years" and that the review showed "a safety record clean enough to dissolve the kidney concern".

What it says now

It says the review "pooled three outcomes across its trials: maximal strength, bone mineral density and body fat percentage", that the authors write "In previous studies, no adverse kidney and liver function events have been associated with these dose regimens", and that they call for longitudinal studies of long-term use in older adults.

Why, and the source

Sharifian and colleagues (2025) pooled maximal strength, bone mineral density and body fat across their twenty trials; they did not count adverse events. Their discussion notes that in previous studies no adverse kidney and liver function events have been associated with the dose regimens they describe, and that no serious adverse effects were noted for up to two years in the studies they cite. They call for longitudinal studies of the adverse effects of long-term use, particularly since kidney and liver function is lower in older adults. Our page told that note as a result of the review's own twenty trials, and added lines about the blood marker creatinine that no source on the page supports. Source: Sharifian G, Aseminia P, Heidary D, Esformes JI. Impact of creatine supplementation and exercise training in older adults: a systematic review and meta-analysis. Eur Rev Aging Phys Act. 2025;22:17.

Found by

LFG3 batch b3a's full read of the page (Q740, 2026-10-20, lead K1), then the Q761 read of the page against the paper as Mark pasted it

A claim said FitChef meals carry the per-meal protein distribution the evidence points to; the meal planner does not split protein evenly by default

ClaimDo You Need More Protein After 40 to Keep Your Muscle?

What it said

The page said "The per-meal distribution that the evidence points to is structurally built into how FitChef meals work."

What it says now

The sentence is removed.

Why, and the source

FitChef's meal planner meets each day's protein total; by default it makes dinner the largest meal and sets no per-meal protein amount, so it does not spread protein evenly across meals.

Found by

the Q792 skeptic pass (Rule 31b) of the Q789 Mamerow 2014 sweep (backlog/MAMEROW_2014_SWEEP.md): every changed page read in full against Mark's pastes

A Short credited the protein-split trial with the 30-gram per-meal threshold, which the trial cites from earlier studies

ShortHow Much Protein Is Actually in a Bowl

What it said

The page said "That 30-gram mark is the threshold: the point where a single sitting maximally drives the signal to build", cited the threshold as "Mamerow et al., 2014; n=8 RCT crossover; P=0.003" and "MPS threshold from Mamerow et al. 2014", and said the trial "Establishes ~30g per meal as the MPS threshold".

What it says now

It says "The authors, citing earlier work, write that about 30 grams of high-quality protein in one meal appears to maximally stimulate muscle protein synthesis" and cites the threshold "as cited in Mamerow et al. 2014", also on its chart.

Why, and the source

Mamerow et al. (2014) write that "it appears that a single meal containing ∼30 g of high-quality protein maximally stimulates muscle protein synthesis in healthy adults", citing earlier studies (refs 4, 7-10). Their own trial compared two daily splits; its 8 participants and its P value of 0.003 belong to the 25% result, not to a per-meal threshold. Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

the Q789 Mamerow 2014 sweep (backlog/MAMEROW_2014_SWEEP.md, opened by the LFG3 batch 3b read, Q757): every page read in full against Mark's paste of the paper

Our page on the protein-split trial called a narrative review systematic and told readers at moderate intakes the opposite of its conclusion

StudySame Protein, Even Split: 25% Higher Muscle Protein Synthesis

What it said

The page called Hudson et al. (2020) "a systematic review examining every available long-term study", said their trial "tested Mamerow's exact even-versus-skewed split", and said that at moderate intakes "around 1.0 to 1.3 grams per kilogram — distribution may matter more, not less".

What it says now

It calls it "a review of the protein distribution research available to them", gives the trial's splits, "30/30/30 grams with 10/20/60 grams", and says that among people eating "0.8 to 1.3 grams of protein per kilogram" a day "the review finds that at least one high-protein meal a day may be enough to support muscle outcomes, even if the split is uneven".

Why, and the source

Hudson, Bergia and Campbell (2020) describe their paper as a narrative review of the research "available (to the authors)". Their own trial compared 30/30/30 g with 10/20/60 g. They conclude: "Among individuals who consume adequate total protein (0.8–1.3 g·kg−1·d−1), the preponderance of evidence suggests that consuming at least one high-protein meal per day may be sufficient to support skeletal muscle-related outcomes even if the distribution is unbalanced." Source: Hudson JL, Bergia RE III, Campbell WW. Protein Distribution and Muscle-Related Outcomes: Does the Evidence Support the Concept? Nutrients. 2020;12(5):1441.

Found by

the Q789 Mamerow 2014 sweep (backlog/MAMEROW_2014_SWEEP.md, opened by the LFG3 batch 3b read, Q757): every page read in full against Mark's paste of the paper

Three pages misnamed a review's author, credited it with a title it does not have, altered a quoted line and cut a trial's title short

StudySame Protein, Even Split: 25% Higher Muscle Protein Synthesis ShortOne Study Created the 3-Hour Protein Rule ShortProtein After 40: What Happened When They Finally Tested Women

What it said

The study page said "In 2020, Jaime Hudson and colleagues", its chart credited the review as "Impact of protein distribution on muscle mass, strength, and body composition", it quoted the trial as "Reconciling total daily protein intake by end-loading protein during the evening meal failed to make up the difference", and two Shorts cited the trial as "Dietary protein distribution positively influences 24-h muscle protein synthesis".

What it says now

They say "Joshua Hudson and colleagues", credit "Protein Distribution and Muscle-Related Outcomes: Does the Evidence Support the Concept?", quote the trial's own words "failed to make up the difference in 24-h muscle protein synthesis", and cite "Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults".

Why, and the source

The review is by Joshua L Hudson, Robert E Bergia III and Wayne W Campbell, titled "Protein Distribution and Muscle-Related Outcomes: Does the Evidence Support the Concept?" (Nutrients 2020). The trial writes "Reconciling total daily protein intake by end-loading protein during the SKEW evening meal ... failed to make up the difference in 24-h muscle protein synthesis", and is titled "Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults". Source: Hudson JL, Bergia RE III, Campbell WW. Protein Distribution and Muscle-Related Outcomes: Does the Evidence Support the Concept? Nutrients. 2020;12(5):1441.

Found by

the Q789 Mamerow 2014 sweep (backlog/MAMEROW_2014_SWEEP.md, opened by the LFG3 batch 3b read, Q757): every page read in full against Mark's paste of the paper

Our page on the protein-split trial called an 11-gram survey breakfast lower than the trial's 10.7-gram one

StudySame Protein, Even Split: 25% Higher Muscle Protein Synthesis

What it said

The page said survey data "looks almost exactly like the study's losing condition", that a woman eating 69 grams a day has "about 11 grams at the morning meal", and that "That is lower than the study's most protein-starved breakfast, the 10.7-gram meal that produced the weakest muscle-building response in every person who ate it".

What it says now

It says "the survey figures the trial's authors cite put the average adult breakfast at about 13 grams of protein, against 38 at dinner", and that this is "close to the study's most protein-starved one, the 10.7-gram meal".

Why, and the source

The trial (Mamerow et al. 2014) cites NHANES: "mean protein consumption for adults aged ≥19 y is ∼3-fold greater at dinner (38 g protein) compared with breakfast (13 g protein)". 11 grams is more than 10.7, the paper reports group averages, not every person, and the 16% breakfast share is not in the survey brief's text. Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

the Q789 Mamerow 2014 sweep (backlog/MAMEROW_2014_SWEEP.md, opened by the LFG3 batch 3b read, Q757): every page read in full against Mark's paste of the paper

Two pages said the protein-split trial's low-protein meals did almost nothing, and the trial's own page told its breakfast and one-week results as larger than reported

ClaimDo You Need More Protein After 40 to Keep Your Muscle? StudySame Protein, Even Split: 25% Higher Muscle Protein Synthesis

What it said

One page said a day of "10g at breakfast, 15g at lunch, and 65g at dinner means two out of three meals did almost nothing". The trial's own page said the breakfast meal "showed the biggest difference", that "10 grams is not enough protein to switch on the muscle-building machinery that 30 grams triggers", that muscle building after the 10-gram breakfast "was about 30 percent lower", that "Spreading protein evenly tripled the muscle-building signal", that after a week "It actually got slightly stronger after a full week", and gave a 90-gram result from the authors' earlier study as this one's.

What it says now

The first says that day "leaves two meals short of that amount". The trial's page says "The breakfast was the one meal the study measured on its own", that "muscle protein synthesis after the 30-gram breakfast was about 30% higher than after the 10-gram one", that "the authors, citing earlier work, write that meals with under 30 grams of protein attenuate the muscle protein synthesis that follows", that the even split "raised 24-hour muscle protein synthesis by about a quarter", and that the result held after a week.

Why, and the source

Mamerow et al. (2014) write that meals with under 30 g of protein "attenuate the postprandial muscle protein synthesis": they reduce it, which is not nothing. They measured one meal on its own, breakfast: synthesis after 30 g was "∼30% higher than with the 10-g protein meal" (so after the 10-g meal it was about a quarter lower, not 30% lower). After 7 days "This pattern was maintained". Nothing in the paper triples, and the 90 g versus 30 g comparison is from the authors' earlier study. Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

the Q789 Mamerow 2014 sweep (backlog/MAMEROW_2014_SWEEP.md, opened by the LFG3 batch 3b read, Q757): every page read in full against Mark's paste of the paper

Six pages told a 12-hour whey trial wrong: as one daily figure with the protein-split trial, as one load or one meal, as muscle built and as a crossover

ShortThe Night Shift Protein Problem May Not Be About How Much ClaimDo You Need Protein Within 30 Minutes of Training? StudySame Protein, Even Split: 25% Higher Muscle Protein Synthesis ClaimDoes When You Eat Actually Matter? What 7 Controlled Studies Found GuideWhen You Eat vs. What You Eat: 5 Trials, 774 People ShortOne Study Created the 3-Hour Protein Rule

What it said

Two pages said spreading protein "turns 25 to 48 percent more of that protein into muscle over a full day", that "Two independent labs found that even distribution produced 25 to 48% more muscle-building activity over 24 hours", and that "Mamerow et al. (2014) and Areta et al. (2013) demonstrated 25–48% greater 24-hour muscle protein synthesis". Four others said "Two independent labs found the same thing: spreading protein evenly across meals produces 25-48% higher daily muscle-building activity compared to loading it into one meal", that doses "outperformed loading everything at once", that "muscles built 31 to 48 percent more protein", that "The three-hour group built the most muscle protein across twelve hours", and called the trial a "randomized crossover".

What it says now

They give each trial its own result: "25 percent higher muscle protein synthesis over a full day" in one, and "four 20-gram doses of whey over 12 hours gave 31 to 48 percent more than eight 10-gram or two 40-gram doses" in the other; they say that "a second lab found a related pattern over 12 hours", that "four twenty-gram doses gave more muscle protein synthesis than either smaller or larger ones", that "myofibrillar protein synthesis over the 12 hours was 31 to 48 percent higher", that "The three-hour group had the highest muscle protein synthesis across twelve hours", and that it ran "three parallel groups of 8".

Why, and the source

Areta et al. (2013) gave 24 trained men 80 g of whey over 12 hours after exercise, in three groups of 8: 8 x 10 g, 4 x 20 g or 2 x 40 g. The 4 x 20 g group had 31 to 48% higher myofibrillar protein synthesis over the 12 hours than the other two. It measured 12 hours of recovery, not a day, a meal or muscle built, it was not a crossover, and its result is not the protein-split trial's 25% over 24 hours. Source: Areta JL, Burke LM, Ross ML, Camera DM, West DWD, Broad EM, Jeacocke NA, Moore DR, Stellingwerff T, Phillips SM, Hawley JA, Coffey VG. Timing and distribution of protein ingestion during prolonged recovery from resistance exercise alters myofibrillar protein synthesis. J Physiol. 2013;591(9):2319-2331.

Found by

the Q789 Mamerow 2014 sweep (backlog/MAMEROW_2014_SWEEP.md, opened by the LFG3 batch 3b read, Q757): every page read in full against Mark's paste of the paper

Eight pages overstated the evidence for spreading protein across meals; the review they cite lists short trials that did not confirm it, in older adults

StudyWhy Protein Works Differently After 40 (Study Data) ShortThe Night Shift Protein Problem May Not Be About How Much ShortHow Much Protein Is Actually in a Bowl ClaimDo You Need More Protein After 40 to Keep Your Muscle? ClaimHow Much Protein When Losing Weight? (24-Study Answer) StudySame Protein, Even Split: 25% Higher Muscle Protein Synthesis ClaimDoes When You Eat Actually Matter? What 7 Controlled Studies Found GuideWhen You Eat vs. What You Eat: 5 Trials, 774 People

What it said

Five pages said that after 40 "the way you distribute protein across the day matters more, not less", that it "matters at least as much as the daily total", "the evidence points in the opposite direction", that it is "the zero-cost lever that compounds every other adjustment" and "the free lever that makes or breaks whether your total intake actually works", that it "shapes the signal far more", and that structured meals "closes the gap". Three others said "The acute lab data is statistically strong", "It is not a fluke", "The short-term lab evidence is strong", "two independent labs, consistent findings", "The range has been confirmed independently in a second lab", and that "the effect was confirmed independently by two separate labs".

What it says now

They say that "at maintenance calories, the one short trial in younger adults supported an even split and the three in older adults did not", that "the evidence is mixed", that "the daily total comes first and an even split is a free lever worth trying", that it "may shape the signal more", that "in a 16-week weight-loss trial of overweight adults who were resistance training, the protein split did not change body composition", that the result "was statistically clear" in this trial, that "two labs whose results point the same way, other short-term trials, in older adults, that did not confirm the 24-hour result", and that "other short-term trials, in older adults, did not confirm it".

Why, and the source

Hudson, Bergia and Campbell (2020) list five short-term distribution trials: Mamerow et al. (2014) found a 25% higher synthesis rate, but "two studies by Kim et al. and one by Murphy et al. did not corroborate those results", and the review concludes that convincing evidence is lacking from short-term research either way. They write that the protein distribution concept is supported "during energy balance in younger, but not older, adults", that "it appears more important to ensure adequate total daily protein intake", and that at adequate intakes "at least one high-protein meal per day may be sufficient to support skeletal muscle-related outcomes even if the distribution is unbalanced". The 16-week weight-loss trial they list (Hudson et al. 2017, 30/30/30 g against 10/20/60 g of protein a day) found no effect on body composition. The second lab (Areta et al. 2013) tested a related question, whey doses over 12 hours after exercise. Source: Hudson JL, Bergia RE III, Campbell WW. Protein Distribution and Muscle-Related Outcomes: Does the Evidence Support the Concept? Nutrients. 2020;12(5):1441.

Found by

the Q789 Mamerow 2014 sweep (backlog/MAMEROW_2014_SWEEP.md, opened by the LFG3 batch 3b read, Q757): every page read in full against Mark's paste of the paper

Twelve pages told the protein-split trial's design wrong: the same food, the only change, how most people eat, three or four meals, one meal, no exercise, its age range

Show all 12 pages

StudyThe Anabolic Window: What 23 Studies Actually Found StudyWhy Protein Works Differently After 40 (Study Data) ShortThe Night Shift Protein Problem May Not Be About How Much ShortHow Much Protein Is Actually in a Bowl ClaimDo You Need Protein Within 30 Minutes of Training? ClaimDo You Need More Protein After 40 to Keep Your Muscle? ClaimHow Much Protein When Losing Weight? (24-Study Answer) StudySame Protein, Even Split: 25% Higher Muscle Protein Synthesis ClaimDoes When You Eat Actually Matter? What 7 Controlled Studies Found ShortThe Fastest High-Protein Meal Is One You Don’t Cook ShortOne Study Created the 3-Hour Protein Rule ShortProtein After 40: What Happened When They Finally Tested Women

What it said

Seven pages said the trial "shifted only the meal-to-meal split", tested "the same total protein, the same foods", "Same food", spreading "across three or four meals" or "across 3 to 4 meals" against "two large loads or irregular pulses" or "one or two meals", that "Total daily protein intake was identical", that its skew was "the dinner-heavy pattern most people default to", that the after-40 question was "tested separately", and that the older-adult question "gets its own dedicated study in this research series". Five others said the trial fed "the exact same total protein", that its skewed diet "mimicked how most people actually eat", that "The only variable that changed was the distribution", "Same food", that the comparison was with "loading it all into one meal" or "loading the same total at dinner", that "Spacing protein across 3-4 daily meals — roughly every 4-5 hours — already covers what the evidence demands", that "participants were not exercising during the measurement periods", and that "All meals were prepared and served by the research team in a controlled metabolic unit".

What it says now

They say the trial "held daily protein and calories level", with "fat moved between meals to balance the calories", "evenly across three meals", "than loading most of the day's intake at dinner", "matched between conditions (90–94 g, not different)", "an exaggerated dinner-heavy pattern", that "the distribution trial tested adults aged 25 to 55" and "the distribution study in this research series tested adults aged 25 to 55"; and that it fed "about 90 grams of protein a day", that its skewed diet was "an exaggerated version of the dinner-heavy way US adults eat", that "fat moved between meals to keep the day's calories level", that the comparison was with "loading most of it at dinner", that "the three meals came 3.5 to 4 hours apart", that "The only exercise in this study's protocol was a 30-minute moderate treadmill walk on each measurement day", and that on the two measurement days the meals "were served in the research unit, and in between participants could eat there or take the meals home".

Why, and the source

Mamerow et al. (2014) gave 8 adults aged 25 to 55 about 90 g of protein a day (90-94 g) as about 30 g at each of three meals or as an "exaggerated" skew of about 10, 15 and 65 g; carbohydrate was held constant, "whereas dietary fat intake was manipulated" to keep the day's calories level, so the foods differed. Both diets had three meals, served at 0930, 1300 and 1700 h on the measurement days; on the days between, participants could eat at the research unit or take the prepared meals home; and they walked on a treadmill for 30 minutes on days 1 and 7. Earlier corrections fixed the same kind of error on four other pages (2026-10-16-distribution-trial-told-as-two-groups-and-muscle-built, 2026-10-20-mamerow-2014-protein-synthesis-told-as-muscle-built). Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

the Q789 Mamerow 2014 sweep (backlog/MAMEROW_2014_SWEEP.md, opened by the LFG3 batch 3b read, Q757): every page read in full against Mark's paste of the paper

Fourteen pages told a protein-split trial's 25% higher muscle protein synthesis as muscle built, protein turned into muscle, or a body composition result

Show all 14 pages

StudyThe Anabolic Window: What 23 Studies Actually Found StudyWhy Protein Works Differently After 40 (Study Data) ShortThe Night Shift Protein Problem May Not Be About How Much ClaimDo You Need Protein Within 30 Minutes of Training? ClaimDo You Need More Protein After 40 to Keep Your Muscle? ClaimHow Much Protein When Losing Weight? (24-Study Answer) StudySame Protein, Even Split: 25% Higher Muscle Protein Synthesis Study100g Protein in One Meal: What a 12-Hour Study Found ClaimDoes When You Eat Actually Matter? What 7 Controlled Studies Found GuideWhen You Eat vs. What You Eat: 5 Trials, 774 People GuideProtein Intake: What 9 Studies Found (and What the Internet Added) ShortThe Fastest High-Protein Meal Is One You Don’t Cook ShortOne Study Created the 3-Hour Protein Rule ShortProtein After 40: What Happened When They Finally Tested Women

What it said

Six pages said the even spread "built measurably more muscle protein", that researchers "measured a full day of muscle building", that spreading protein "turns 25 to 48 percent more of that protein into muscle", "25 to 48% more muscle-building activity", that it "adds another 25%", "25 percent more muscle building over 24 hours", that the split "determines how much of that protein your body actually uses", and that "the container determined how much of that protein actually built anything". Eight others said the even split "built 25% more muscle protein over 24 hours", "25% more muscle-building activity", "25% more muscle building", "Same Protein, 25% More Muscle", "one split built 25% more muscle", "+25% more muscle built", "25% more muscle built per meal", and that protein distribution "independently affects a body composition outcome".

What it says now

They say the even split "gave about 25% higher 24-hour muscle protein synthesis" or "25% higher muscle protein synthesis over 24 hours", in one crossover trial of 8 adults, that the researchers "measured a full day of muscle protein synthesis", that the split "changed the 24-hour synthesis rate in that trial", that "In two trials, that changed the muscle protein synthesis rate", and that what it changed "was muscle protein synthesis, not body composition".

Why, and the source

Mamerow et al. (2014) gave 8 adults about 90 g of protein a day, spread evenly across three meals or skewed toward dinner, and measured the rate of muscle protein synthesis over 24 hours: 25% higher with the even split. The study did not measure muscle built, breakdown or body composition, and its authors write that "modest, acute differences in 24-h muscle protein synthesis cannot be expected to precipitate changes in muscle mass or function over a period of weeks or perhaps months". Earlier corrections fixed the same error on three other pages and in other lines of the protein guide (2026-10-16-distribution-trial-told-as-two-groups-and-muscle-built, 2026-10-20-mamerow-2014-protein-synthesis-told-as-muscle-built). Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

the Q789 Mamerow 2014 sweep (backlog/MAMEROW_2014_SWEEP.md, opened by the LFG3 batch 3b read, Q757): every page read in full against Mark's paste of the paper

A recovery Short answered yes to building muscle on poor sleep; the trial did not measure muscle

ShortSleep Loss Cut Muscle Protein Synthesis and Performance. Cold Plunge Came Fifth for Soreness.

What it said

Asked "Can you still build muscle when sleep is poor?", the Short answered yes, saying "high-intensity training during the restriction kept muscle-building rates at normal-sleep levels" when "sleep was restricted to four hours a night".

What it says now

It says "One trial suggests training helps": with four hours in bed for five nights, three interval sessions "kept myofibrillar protein synthesis at normal-sleep levels", and "The trial did not measure muscle mass."

Why, and the source

Saner et al. (2020) gave 4 h in bed for five nights; with three HIIE sessions, "rates of MyoPS were maintained at control levels". The study "did not employ direct measurements of changes in muscle mass". Source: Saner NJ, Lee MJ-C, Pitchford NW, Kuang J, Roach GD, Garnham A, Stokes T, Phillips SM, Bishop DJ, Bartlett JD. The effect of sleep restriction, with or without high-intensity interval exercise, on myofibrillar protein synthesis in healthy young men. J Physiol. 2020;598(8):1523-1536.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A recovery Short misstated a cold-water review's probability threshold and journal

ShortSleep Loss Cut Muscle Protein Synthesis and Performance. Cold Plunge Came Fifth for Soreness.

What it said

The Short gave "Probability of exceeding small threshold (|d| > 0.2): 83.4%", said cold water carries a 95.7% probability "of blunting the muscle growth it claims to support", that it "points the wrong direction in nearly every analysis", and cited the review in "Sports Med".

What it says now

It gives "Probability of at least a small effect (cSMD < −0.1): 83.4%", "a 95.7% probability of blunting muscle growth", "both its main and sensitivity analyses", and cites Eur J Sport Sci.

Why, and the source

Piñero et al. (2024), Eur J Sport Sci, reported p (<0) = 0.957 and "at least a small effect (p (<−0.1) = 0.834)" in the primary analysis; a sensitivity analysis gave p (<0) = 0.882. Source: Piñero A, Burke R, Augustin F, Mohan AE, DeJesus K, Sapuppo M, Weisenthal M, Coleman M, Androulakis-Korakakis P, Grgic J, Swinton PA, Schoenfeld BJ. Throwing cold water on muscle growth: A systematic review with meta-analysis of the effects of postexercise cold water immersion on resistance training-induced hypertrophy. Eur J Sport Sci. 2024;24(2):177-189.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A recovery Short gave a one-night sleep study as 10 people with another paper's DOI; it was 13 adults in Physiological Reports

ShortSleep Loss Cut Muscle Protein Synthesis and Performance. Cold Plunge Came Fifth for Soreness.

What it said

The Short gave the study as n = 10, with the DOI 10.1113/JP282058, the journal J Physiol and the title "Sleep deprivation reduces muscle protein synthesis", and said "The body could not use it."

What it says now

It gives "n = 13 (seven men, six women)", the DOI 10.14814/phy2.14660, Physiol Rep and the paper's own title, and says "The body used it less."

Why, and the source

Lamon et al. (2021), Physiol Rep 9:e14660 (doi 10.14814/phy2.14660), studied "Healthy young adults (N = 13; seven male, six female)"; synthesis was 18% lower after a night without sleep. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A recovery Short said short sleep hits the higher-rep sets that drive muscle growth 3.5 times harder; the review said nothing about growth

ShortSleep Loss Cut Muscle Protein Synthesis and Performance. Cold Plunge Came Fifth for Soreness.

What it said

The Short said "the higher-rep sets that drive muscle growth took a hit 3.5 times larger than max-effort lifts", that sleep "shields the higher-rep work that drives growth" and "Sleep protects three systems", that it "degraded the training stimulus that triggers growth", rated the comparison "High — 77 pooled studies", and cited the review in "Sleep Med Rev".

What it says now

It says "sets of repeated reps fell about 10%, against under 3% for single maximal efforts, though that came from just five studies", rates that comparison "low", and cites Sports Med.

Why, and the source

Craven et al. (2022), Sports Med, defined strength-endurance as a "Resistance task ≥ 2 repetitions or > 5 s sustained contraction": five studies (n = 62), -9.85%, "unstable during one-out analyses". Strength fell 2.85%. The review measured test performance, not growth or training stimulus. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A recovery Short said a cold-water trial compared two legs of the same person; it compared two groups

ShortSleep Loss Cut Muscle Protein Synthesis and Performance. Cold Plunge Came Fifth for Soreness.

What it said

The Short said "both legs of the same person, trained identically for 12 weeks", "The immersed leg built 67% less muscle", "Same body", its audio said "the leg that skipped the cold water built sixty-seven percent more muscle", and its research note said "p70S6K phosphorylation 90% lower at 2 h, 60% lower at 24 h".

What it says now

It says "21 young men trained identically for 12 weeks in two groups matched for strength and lean mass", that "The cold-water group built 67% less thigh muscle", that it built "about a third as much thigh muscle as the cycling group", and that phosphorylation "was 90% greater after active recovery than after cold water immersion at 2 h and 60% greater at 24 h".

Why, and the source

Roberts et al. (2015), J Physiol, matched 21 men in pairs and assigned one of each pair to cold water immersion and the other to active recovery. Quadriceps muscle mass rose 103 g with cold water against 309 g with active recovery. In a separate crossover study, p70S6K phosphorylation was "significantly greater following active recovery compared with cold water immersion at 2 h (90%...) and 24 h (60%...)". Source: Roberts LA, Raastad T, Markworth JF, Figueiredo VC, Egner IM, Shield A, Cameron-Smith D, Coombes JS, Peake JM. Post-exercise cold water immersion attenuates acute anabolic signalling and long-term adaptations in muscle to strength training. J Physiol. 2015;593(18):4285-4301.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A recovery Short gave a reason a review left sleep out; the review never mentions sleep

ShortSleep Loss Cut Muscle Protein Synthesis and Performance. Cold Plunge Came Fifth for Soreness.

What it said

The Short said "Sleep was not among them. Not because it failed to qualify. Because nobody classified it as a recovery method at all", its search description said "Sleep was excluded — not because it failed", and its chart said "Never classified as a recovery method".

What it says now

It says "The review does not mention it", "Sleep was not tested", and the chart says "Not assessed in this review".

Why, and the source

Dupuy et al. (2018) never mention sleep. The only techniques they say they left out are "laser therapy and vibration platforms", for too few studies. Source: Dupuy O, Douzi W, Theurot D, Bosquet L, Dugué B. An Evidence-Based Approach for Choosing Post-exercise Recovery Techniques to Reduce Markers of Muscle Damage, Soreness, Fatigue, and Inflammation: A Systematic Review With Meta-Analysis. Front Physiol. 2018;9:403.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A recovery Short said a review ranked cold water fourth of nine for soreness; the review gives effect sizes, and in its main table immersion came fifth

ShortSleep Loss Cut Muscle Protein Synthesis and Performance. Cold Plunge Came Fifth for Soreness.

What it said

The Short's title said "Cold Plunge Ranked Fourth for One", its text said cold water immersion "ranked fourth out of nine for soreness reduction", "behind massage, active recovery, and compression garments", its audio said "Cold plunge handles one thing modestly", and it cited the review in the British Journal of Sports Medicine with a DOI that does not exist.

What it says now

It says cold water immersion "came fifth of the nine for soreness reduction", "behind massage, active recovery, compression garments and cryotherapy", that it "had a small effect on soreness and a larger one on how tired people felt", and cites Frontiers in Physiology.

Why, and the source

Dupuy et al. (2018), Front Physiol 9:403, gave effect sizes, not a ranking: for soreness, massage -2.26, active recovery -0.94, compression garments -0.92, cryotherapy -0.53 and immersion -0.47 (95% CI -0.77 to -0.18); water at 15 °C or colder, a subgroup, gave -0.62. For perceived fatigue, immersion was -1.16. Source: Dupuy O, Douzi W, Theurot D, Bosquet L, Dugué B. An Evidence-Based Approach for Choosing Post-exercise Recovery Techniques to Reduce Markers of Muscle Damage, Soreness, Fatigue, and Inflammation: A Systematic Review With Meta-Analysis. Front Physiol. 2018;9:403.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A proposed foam-rolling mechanism was told as settled, and the reviews' gap as the tools they counted

ShortWhat Foam Rolling Actually Does to Your Flexibility

What it said

The Short said "The effect is neurological, not mechanical", that "The muscle did not lengthen", that the fascia explanation is "explicitly dismissed by the research", and that the gap between the reviews "comes down to which tools they counted".

What it says now

It says the most plausible explanation "could be" the nervous system's pain control, that "the mechanisms are not fully understood", and that the two reviews "measured differently".

Why, and the source

Wiewelhove et al. write that the most plausible explanation "could be" central pain modulation, and that the mechanisms are not fully understood; Skinner et al. list tissue factors as possible too. In Wiewelhove's review, foam rollers alone also gave a small flexibility effect (g = 0.32). Wiewelhove set each change against a control condition; Skinner's effect sizes run from before to just after rolling, without a control. Source: Wiewelhove T, Döweling A, Schneider C, Hottenrott L, Meyer T, Kellmann M, Pfeiffer M, Ferrauti A. A Meta-Analysis of the Effects of Foam Rolling on Performance and Recovery. Front Physiol. 2019;10:376.

Found by

Q332 (DOI check) and the Q332 full read against Mark's Wiewelhove paste and Skinner upload of 2026-10-10

A foam-rolling page said every study was positive and the gain fades within minutes

ShortWhat Foam Rolling Actually Does to Your Flexibility

What it said

The Short said "every single analysis showed a positive effect on flexibility", that the gain was "confirmed across every study in two major reviews", and that it was "fading within minutes"; its SEO title read "The Flexibility You Gain From Foam Rolling Fades in Minutes".

What it says now

It says that in one review "all 18 range-of-motion effect sizes were positive", that the other "estimates that 62% of people will see a short-term gain", and that "Neither review says how long it lasts".

Why, and the source

Only Skinner's range-of-motion meta-analysis reports that all its effect sizes were positive; Wiewelhove gives a pooled effect (g = 0.34) and reads it as 62% of people improving in the short term. Neither review measured how long the gain lasts. The minutes in Wiewelhove are about fascia returning to its gel state. Source: Wiewelhove T, Döweling A, Schneider C, Hottenrott L, Meyer T, Kellmann M, Pfeiffer M, Ferrauti A. A Meta-Analysis of the Effects of Foam Rolling on Performance and Recovery. Front Physiol. 2019;10:376.

Found by

Q332 (DOI check) and the Q332 full read against Mark's Wiewelhove paste and Skinner upload of 2026-10-10

Two foam-rolling reviews were cited with a DOI that does not exist and the wrong study count

ShortWhat Foam Rolling Actually Does to Your Flexibility

What it said

The Short cited Wiewelhove et al. (2019) with the DOI 10.52082/jssm.2019.001 in the journal J Sports Sci Med, and gave Skinner et al. (2020) as "32 studies, 330 participants" for its effect size d = 0.76.

What it says now

It gives the DOI 10.3389/fphys.2019.00376 and Front Physiol for Wiewelhove, and "18 effect sizes from 13 studies, 330 participants" for Skinner's range-of-motion result.

Why, and the source

The Wiewelhove paper prints the DOI 10.3389/fphys.2019.00376 (Front Physiol 2019;10:376). Skinner's review included 32 studies; its range-of-motion meta-analysis pooled eighteen effect sizes from thirteen of them. Source: Wiewelhove T, Döweling A, Schneider C, Hottenrott L, Meyer T, Kellmann M, Pfeiffer M, Ferrauti A. A Meta-Analysis of the Effects of Foam Rolling on Performance and Recovery. Front Physiol. 2019;10:376.

Found by

Q332 (DOI check) and the Q332 full read against Mark's Wiewelhove paste and Skinner upload of 2026-10-10

The minerals guide told a multivitamin review that found benefits in specific groups as "zero benefit", and named its authors "VU Amsterdam"

GuideDo Mineral Supplements Work? Six Reviews, Narrower Answers

What it said

The guide said the multivitamin "produces zero measurable benefit", "Zero benefit across mortality, heart disease, cancer, infections, and exercise performance in healthy adults" and "The only non-zero finding across all 19 reviews was harm", and cited the review as "VU Amsterdam (2025)".

What it says now

It says the review "found no effect on all-cause mortality, COVID-19 outcomes or visual acuity", that "Its randomized trials did show benefits in specific groups", that "The review did not look at body composition or exercise performance", and cites it as "Wang et al. (2025)".

Why, and the source

Wang et al. (2025) reviewed 19 meta-analyses: no effect on mortality, COVID-19 outcomes or visual acuity; in randomized trials, benefits for cognition in older adults, psychological symptoms in healthy adults and systolic blood pressure in at-risk people; a higher risk of macular degeneration progression. It has no body-composition or exercise outcome. Its authors are Wang, Wazny, Mahadzir and Maier. Source: Wang W, Wazny VK, Mahadzir MDA, Maier AB. Multivitamin and mineral use: A rapid review of meta-analyses on health outcomes. Ageing Res Rev. 2026;114:102965.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10 and his June copy of Te 2023

The minerals guide was built on a "one rule" that none of its six reviews shows

GuideDo Mineral Supplements Work? Six Reviews, Narrower Answers

What it said

The guide was titled "Six Mineral Supplements Tested. One Rule Predicted Every Result" and said "One rule, buried across six evidence reviews, explains it all" and "Same rule: works below a floor, nothing above it".

What it says now

It is titled "Do Mineral Supplements Work? Six Reviews, Narrower Answers", says each review "found its clearest signal in a narrower group than the label suggests", and says "None of them shows a floor below which supplements work and above which nothing changes".

Why, and the source

None of the six reviews tested such a floor. The iron review (Pengelly et al. 2024) enrolled only iron-deficient athletes; the vitamin D review (Han et al. 2024) did not analyse strength by starting level; the zinc review (Te et al. 2023) reports testosterone rising with zinc in normal rats; the magnesium sleep review (Mah & Pitre 2021) did not analyse its results by magnesium status.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10 and his June copy of Te 2023

The minerals guide told a vitamin D review as showing that only deficient athletes gain quadriceps strength

GuideDo Mineral Supplements Work? Six Reviews, Narrower Answers

What it said

The guide said "One muscle group responded: the quadriceps, which carry the highest concentration of vitamin D receptors on fast-twitch fibers. And that response only appeared in athletes who were deficient to begin with."

What it says now

It says "only two of the ten trials measured it, both in athletes who started low in vitamin D", that the authors call it "a potential trend that falls short of conclusive evidence", and that "The review did not compare strength by starting level".

Why, and the source

Han et al. (2024) pooled ten trials in 354 athletes: blood levels rose, overall strength did not improve significantly (p = 0.08), and quadriceps contraction improved in the two trials that measured it (p = 0.04). It did not analyse strength by starting vitamin D status and gives no receptor explanation for the quadriceps. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10 and his June copy of Te 2023

The minerals guide told a zinc review of mostly animal studies as proof that zinc above normal does nothing

GuideDo Mineral Supplements Work? Six Reviews, Narrower Answers

What it said

The guide said "Thirty-eight studies consistently show that zinc deficiency crashes testosterone" and "Supplement above normal levels, and nothing changes", and gave a trial's threshold as "4.8 nmol/L".

What it says now

It says the review of 38 papers, "30 of them animal studies and 8 in people", found the rise "mainly in infertile men and in people low in zinc", and that one trial in infertile men found a gain "when it started below 4.8 ng/ml".

Why, and the source

Te et al. (2023) included 8 clinical and 30 animal studies, concluded that zinc supplementation improves testosterone with effects that may vary by starting zinc and testosterone levels, form, dose and duration, and gave the 4.8 threshold as a testosterone level in ng/ml in men with idiopathic infertility. Source: Te L, Liu J, Ma J, Wang S. Correlation between serum zinc and testosterone: A systematic review. J Trace Elem Med Biol. 2023;76:127124.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10 and his June copy of Te 2023

The minerals guide told an iron review as showing no benefit below 100 mg, a placebo-level gain as proven, and losses from Stage 1

GuideDo Mineral Supplements Work? Six Reviews, Narrower Answers

What it said

The guide said "Below 100mg per day, no endurance benefit appeared in any study", that 100 mg "improved endurance by roughly 20%", that "performance starts declining in Stage 1, when ferritin drops", and that getting it back "requires about 100 mg of elemental iron daily for at least six weeks".

What it says now

It says about 100 mg a day "was followed by endurance gains of 2% to 20%", that the largest "came from two small trials (18 and 16 athletes) in which the iron group did not differ significantly from placebo", that "In three studies with less than 100 mg a day, iron-treated athletes were no faster than placebo in time-trials, though lower doses over longer periods improved work rates", and gives the dose "daily by mouth for up to 56 days or every second day by injection over 8–10 days".

Why, and the source

Pengelly et al. (2024) reviewed 23 studies in high-level female athletes: 100 mg/day for up to 56 days (or every second day by injection over 8-10 days) was followed by endurance gains of 2%-20%, but in the two trials with the largest gains (about 20% longer to exhaustion) iron did not differ significantly from placebo; lower doses improved energy efficiency, work rates and lactate-threshold speeds; its athletes could only be presumed to be in Stages 1-2. Source: Pengelly M, Pumpa K, Pyne DB, Etxebarria N. Iron deficiency, supplementation, and sports performance in female athletes: A systematic review. J Sport Health Sci. 2024;14:101009.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10 and his June copy of Te 2023

The minerals guide told two small magnesium reviews as more certain and wider than they are

GuideDo Mineral Supplements Work? Six Reviews, Narrower Answers

What it said

The guide called three trials "The entire scientific case", said they "enrolled adults over 55" and found "a consistent and real reduction", explained it by GABA receptors, and said all four soreness studies "reduced soreness".

What it says now

It says "The sleep meta-analysis behind" the claim "covers three trials in 151 older adults", that "The trials took adults over 51 or over 60", that its authors call the 17 minutes "debateable" and the mechanism "not well understood", and that "The two that measured soreness found" less of it.

Why, and the source

Mah & Pitre (2021) pooled two trials (55 people) for sleep onset at low to very low certainty; one of its three trials took adults over 51. Tarsitano et al. (2024): two of four studies measured soreness, two muscle-damage markers, and neither review tested magnesium status or compared forms. Source: Mah J, Pitre T. Oral magnesium supplementation for insomnia in older adults: a Systematic Review & Meta-Analysis. BMC Complement Med Ther. 2021;21:125.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10 and his June copy of Te 2023

The minerals guide cited reviews with DOIs that do not exist, composed titles and wrong authors

GuideDo Mineral Supplements Work? Six Reviews, Narrower Answers

What it said

The guide cited "Te Ni et al. (2022). Zinc supplementation on testosterone levels — systematic review." and "Mah & Bhatt (2021). Magnesium supplementation for sleep meta-analysis.", and gave the zinc, magnesium and iron reviews DOIs that do not exist or belong to another paper; it listed the Girgis 2014 review as "Vitamin D receptor expression and function in skeletal muscle".

What it says now

It cites "Te et al. (2023). Correlation between serum zinc and testosterone: A systematic review.", "Mah & Pitre (2021). Oral magnesium supplementation for insomnia in older adults: a Systematic Review & Meta-Analysis.", and the soreness and iron reviews by their own titles, each with the DOI it prints, and the Girgis review as "Effects of vitamin D in skeletal muscle: falls, strength, athletic performance and insulin sensitivity".

Why, and the source

Each review prints its own title, authors and DOI: Te et al., J Trace Elem Med Biol 2023;76:127124; Mah & Pitre, BMC Complement Med Ther 2021;21:125; Tarsitano et al., J Transl Med 2024;22:629; Pengelly et al., J Sport Health Sci 2024;14:101009; Girgis et al., Clin Endocrinol 2014;80:169-181, under the title "Effects of vitamin D in skeletal muscle: falls, strength, athletic performance and insulin sensitivity". Source: Mah J, Pitre T. Oral magnesium supplementation for insomnia in older adults: a Systematic Review & Meta-Analysis. BMC Complement Med Ther. 2021;21:125.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10 and his June copy of Te 2023

An iron-and-zinc Short told a proposed mechanism as settled

ShortIron and Zinc Do Compete, at Ratios Close to a Combined Pill

What it said

The Short said iron and zinc reach for "a transporter called DMT1 that only lets a handful of minerals through at a time", that "The mechanism is real", and that the study showed inhibition "via a saturable transporter mechanism".

What it says now

It says "The researchers propose that the two compete for a limited number of shared transporters" and that "they call the mechanism not fully understood".

Why, and the source

Olivares et al. (2007) write that the mechanisms are not fully understood: binding to DMT1 could explain the interaction, but some cell studies question DMT1's role in zinc uptake, and the study could not tell whether the interaction occurred at absorption or during tissue use. Source: Olivares M, Pizarro F, Ruz M. Zinc inhibits nonheme iron bioavailability in humans. Biol Trace Elem Res. 2007;117(1-3):7-14.

Found by

Q332 (DOI check) and the Q332 full read against Mark's Olivares 2007 upload and his Olivares 2012 paste of 2026-10-10

An iron-and-zinc Short said food makes the interaction disappear entirely

ShortIron and Zinc Do Compete, at Ratios Close to a Combined Pill

What it said

The Short said "When consumed with a meal, the interaction disappears entirely", that "Food eliminates the competition entirely", and that "The meal slowed the minerals' arrival".

What it says now

It says no drop was seen "in a composite hamburger meal, premature infant formula, human milk or cow milk", that "In wheat flour, one of three studies found a drop", and that "The 2012 paper calls the results with food conflicting".

Why, and the source

Olivares et al. (2012) call the food-matrix results conflicting: no negative interaction with a composite hamburger meal, premature formula, human milk or cow milk, but a decrease in iron absorption in 1 of 3 studies with wheat flour. The abstract gives no reason why food made a difference. Source: Olivares M, Pizarro F, Ruz M, López de Romaña D. Acute inhibition of iron bioavailability by zinc: studies in humans. Biometals. 2012;25:657-664.

Found by

Q332 (DOI check) and the Q332 full read against Mark's Olivares 2007 upload and his Olivares 2012 paste of 2026-10-10

An iron-and-zinc Short, and two pages linking to it, said a typical dose never comes near the ratio where zinc cuts iron absorption

ShortIron and Zinc Do Compete, at Ratios Close to a Combined Pill ClaimIs Low Iron Killing Your Training? ShortSeven Iron Doses Absorbed More Than Fourteen

What it said

The Short was titled "Iron and Zinc Compete for One Door. Your Dose Never Crowds It.", said taking both "is safe at standard supplement doses", that "The threshold sits five times higher than the dose in your cabinet", and that below it "iron absorption barely moved". Two pages linking to it said "At standard supplement ratios the two share a transporter without competing for it" and that the ratio "sits far above what a standard pill delivers".

What it says now

It is titled "Iron and Zinc Do Compete, at Ratios Close to a Combined Pill" and says that with a 10 mg iron dose "the same team saw inhibition at equal weights of zinc and iron", and that "most of the decline seen across the whole range had already happened at one to one"; the two linking pages say "zinc lowered iron absorption at ratios close to a combined pill".

Why, and the source

Olivares et al. (2007) gave 22 women 0.5 mg of iron in water after an overnight fast: the drop in iron absorption was significant from a 5:1 zinc-to-iron molar ratio (28% to 40% at 5:1 to 20:1), but most of the decline had already occurred at 1:1 without reaching significance. Olivares et al. (2012) report that with 10 mg of iron the inhibition occurred at a 1:1 ratio by weight; a pill with 15 mg of zinc and 18 mg of iron is 0.83:1 by weight. The 2007 study measured iron absorption, not safety, and both papers say the interaction should be considered in supplementation programs. Source: Olivares M, Pizarro F, Ruz M. Zinc inhibits nonheme iron bioavailability in humans. Biol Trace Elem Res. 2007;117(1-3):7-14.

Found by

Q332 (DOI check) and the Q332 full read against Mark's Olivares 2007 upload and his Olivares 2012 paste of 2026-10-10

An iron-and-zinc Short cited its main study with a DOI that is not the paper's

ShortIron and Zinc Do Compete, at Ratios Close to a Combined Pill

What it said

The Short cited "Zinc Inhibits Nonheme Iron Bioavailability in Humans" with the DOI "10.1007/s12011-006-0017-2".

What it says now

It cites the paper with the DOI "10.1007/BF02698079".

Why, and the source

The publisher's reference record for the paper (Olivares, Pizarro and Ruz, Biol Trace Elem Res 117:7-14) links DOI 10.1007/BF02698079; the paper itself prints no DOI. Source: Olivares M, Pizarro F, Ruz M. Zinc inhibits nonheme iron bioavailability in humans. Biol Trace Elem Res. 2007;117(1-3):7-14.

Found by

Q332 (DOI check) and the Q332 full read against Mark's Olivares 2007 upload and his Olivares 2012 paste of 2026-10-10

A result measured in men lying in bed was presented as what happens during a workout

ShortYour Post-Drinking Workout Was Running a Tab, Not Paying One Off

What it said

The Short said the 87% drop in fat burning means "the workout burns alcohol as fuel instead of fat (Shelmet et al. 1988, J Clin Invest)" and that "a post-drinking workout burns alcohol calories instead of the fat you came to burn".

What it says now

It says the 87% drop was measured "in six men given alcohol by IV while lying in hospital beds" and that "the study did not test a workout".

Why, and the source

In the paper, "The subjects were studied while reclining in hospital beds"; no exercise was studied. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

Q332 (DOI check) and the Q332 read of every Shelmet line on the Short against Mark's pastes of 2026-10-11

A Short linked an alcohol and fat-burning study with another paper's DOI

ShortYour Post-Drinking Workout Was Running a Tab, Not Paying One Off

What it said

The Short linked Shelmet et al. (1988) with the DOI 10.1172/JCI113256, which opens another paper.

What it says now

It links 10.1172/JCI113428.

Why, and the source

The paper's PubMed Central record gives J Clin Invest 1988;81(4):1137-1145, doi 10.1172/JCI113428. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

Q332 (DOI check) and the Q332 read of every Shelmet line on the Short against Mark's pastes of 2026-10-11

A 30-minute alcohol infusion was described as a 4-hour one

ShortYour Post-Drinking Workout Was Running a Tab, Not Paying One Off

What it said

The For Researchers note said the study measured substrate oxidation "during 4-hour IV ethanol infusion".

What it says now

It says "after a 30-minute IV ethanol infusion (0.75 g/kg), over a 4-hour study".

Why, and the source

In the paper, alcohol (0.75 g/kg) "was infused intravenously for 30 min"; the measurements ran over the 4-hour study. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

Q332 (DOI check) and the Q332 read of every Shelmet line on the Short against Mark's pastes of 2026-10-11

A Short put two results of an alcohol study in quote marks in words the paper does not use

ShortYour Post-Drinking Workout Was Running a Tab, Not Paying One Off

What it said

The Short quoted the paper as saying 'Basal fat oxidation decreased from 72+/-3 to 9+/-3 mg/min per 1.73 m2 (87%, P<0.001).' and '100.7+/-3.7% of metabolized ethanol was oxidized.'

What it says now

It quotes the paper's own sentences: "Ethanol infusion suppressed fat oxidation by 87% from 72±3 (at 0 min) to 9±3 mg/min per 1.73 m2 (at 60 min)" and "essentially all of the ethanol which had been metabolized during the 4-h study was oxidized".

Why, and the source

The numbers were right, but the words in quote marks were not the paper's. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

Q332 (DOI check) and the Q332 read of every Shelmet line on the Short against Mark's pastes of 2026-10-11

A sauna study page called a winter-swimming study's energy difference modest and said it confirmed what it could not

StudySauna Boosts Growth Hormone 16x. Then What?

What it said

Its evidence panel said "the calorie difference was modest" and that the study "confirms that temperature interventions produce real physiological changes, but through mechanisms nobody predicted, not growth hormone".

What it says now

It says the difference appeared "only during cooling (at a comfortable temperature the two groups were the same)" and that "the authors could not conclude that winter swimming caused it, and the paper does not address growth hormone".

Why, and the source

The authors call the cooling difference "substantially higher" and write that "we cannot conclude whether winter swimming per se results in increased cold-induced thermogenesis"; growth hormone is not in the paper. Source: Søberg S, Löfgren J, Philipsen FE, et al. Altered brown fat thermoregulation and enhanced cold-induced thermogenesis in young, healthy, winter-swimming men. Cell Rep Med. 2021;2(10):100408.

Found by

Q332 (DOI check) and the Q332 read of every Søberg line on the page against Mark's paste of 2026-10-11

A Short linked a raisin iron study with another paper's DOI and named it by its follow-up paper's title

ShortThe Iron Trapped Inside Every Raisin

What it said

The Short linked Yeung et al. 2003 with the DOI 10.1111/j.1365-2621.2003.tb05737.x and its chart data named it "Iron Bioavailability from Common Raisin-containing Foods".

What it says now

It links DOI 10.1111/j.1365-2621.2003.tb05735.x under the paper's title, "In Vitro Iron Bioavailability and Antioxidant Activity of Raisins".

Why, and the source

The journal's article page (J Food Sci 68(2):701-705) prints that title and doi 10.1111/j.1365-2621.2003.tb05735.x. Source: Yeung CK, Glahn RP, Wu X, Liu RH, Miller DD. In Vitro Iron Bioavailability and Antioxidant Activity of Raisins. J Food Sci. 2003;68(2):701-705.

Found by

Q332 (citation check) and the Q332 read of the Short against Mark's paste of 2026-10-11

The plant-based fitness guide linked its main plant-versus-animal-protein review with another paper's DOI

GuidePlant Protein Builds the Same Muscle — and One Area Does Better

What it said

The guide's study list gave Reid-McCann et al. (2025) the DOI 10.1093/nutrit/nuae196, which opens another Nutrition Reviews paper.

What it says now

It carries 10.1093/nutrit/nuae200.

Why, and the source

The paper prints its own DOI: Nutrition Reviews, Volume 83, Issue 7, July 2025, Pages e1581-e1603. Source: Reid-McCann RJ, Brennan SF, Ward NA, Logan D, McKinley MC, McEvoy CT. Effect of Plant Versus Animal Protein on Muscle Mass, Strength, Physical Performance, and Sarcopenia: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Nutr Rev. 2025;83(7):e1581-e1603.

Found by

Q332 (DOI check) and the Q332 read against Mark's paste of 2026-10-11

A protein study in men of about 22 and 71 was told as ages 25 and 55, with training, and as the reason strength falls faster

ShortThe Muscle Loss Rate After 30 Measures Half the Problem

What it said

The Short said resting muscle builds protein at the same rate "At 25 and at 55", that the difference "shows up only when you eat or train", and presented the finding as "The mechanism behind the gap" between strength loss and size loss.

What it says now

It says the rates did not differ "At about 22 and at about 71", that "The difference showed up after a protein dose", and that the study "measured protein synthesis, not strength".

Why, and the source

Moore et al. measured protein synthesis in men of about 71 and about 22 after protein doses only; resting rates did not differ (p = .53) and the response to small doses was lower in the older men. They measured no strength. Source: Moore DR, Churchward-Venne TA, Witard O, Breen L, Burd NA, Tipton KD, Phillips SM. Protein Ingestion to Stimulate Myofibrillar Protein Synthesis Requires Greater Relative Protein Intakes in Healthy Older Versus Younger Men. J Gerontol A Biol Sci Med Sci. 2015;70(1):57-62.

Found by

Q332 (DOI check) and the Q332 full read against Mark's paste of the abstract page, 2026-10-10

A study of protein needs in older men was cited with another paper's DOI

ShortThe Muscle Loss Rate After 30 Measures Half the Problem

What it said

The Short linked Moore et al. (2015) in three places to "https://doi.org/10.1093/gerona/glv104", which is another paper.

What it says now

It links "https://doi.org/10.1093/gerona/glu103".

Why, and the source

The paper (The Journals of Gerontology: Series A, 2015;70(1):57-62) prints the DOI 10.1093/gerona/glu103. Source: Moore DR, Churchward-Venne TA, Witard O, Breen L, Burd NA, Tipton KD, Phillips SM. Protein Ingestion to Stimulate Myofibrillar Protein Synthesis Requires Greater Relative Protein Intakes in Healthy Older Versus Younger Men. J Gerontol A Biol Sci Med Sci. 2015;70(1):57-62.

Found by

Q332 (DOI check) and the Q332 full read against Mark's paste of the abstract page, 2026-10-10

A study of protein needs in older men was cited with a DOI that is not its own

ShortBuilding Muscle After 40: What Your Daily Protein Total Misses

What it said

The Short linked Moore et al. (2015) in six places to "https://doi.org/10.1093/gerona/glv007", which is not this paper's DOI.

What it says now

It links "https://doi.org/10.1093/gerona/glu103".

Why, and the source

The paper (The Journals of Gerontology: Series A, 2015;70(1):57-62) prints the DOI 10.1093/gerona/glu103. Source: Moore DR, Churchward-Venne TA, Witard O, Breen L, Burd NA, Tipton KD, Phillips SM. Protein Ingestion to Stimulate Myofibrillar Protein Synthesis Requires Greater Relative Protein Intakes in Healthy Older Versus Younger Men. J Gerontol A Biol Sci Med Sci. 2015;70(1):57-62.

Found by

Q332 (DOI check) and Mark's paste of the paper's abstract page, 2026-10-10

Two breakfast studies in the meal-timing guide were cited with DOIs that do not exist

GuideWhen You Eat vs. What You Eat: 5 Trials, 774 People

What it said

The guide gave Betts et al. (2014) the DOI 10.1093/ajcn/nqu059 and Ballon et al. (2019) the DOI 10.1016/j.orcp.2019.08.006; neither opens the paper.

What it says now

They carry 10.3945/ajcn.114.083402 and 10.1093/jn/nxy194.

Why, and the source

Each paper prints its own DOI: Betts et al., Am J Clin Nutr 2014;100(2):539-547; Ballon et al., J Nutr 2019;149:106-113. Source: Betts JA, Richardson JD, Chowdhury EA, Holman GD, Tsintzas K, Thompson D. The causal role of breakfast in energy balance and health: a randomized controlled trial in lean adults. Am J Clin Nutr. 2014;100(2):539-547. Ballon A, Neuenschwander M, Schlesinger S. Breakfast Skipping Is Associated with Increased Risk of Type 2 Diabetes among Adults: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. J Nutr. 2019;149:106-113.

Found by

Q332 (DOI check) and the Q332 reads against Mark's paste and upload of 2026-10-10

A meal-timing claim gave a position stand's rapid-refuelling window as under eight hours; the stand says under four

ClaimDoes When You Eat Actually Matter? What 7 Controlled Studies Found

What it said

The claim said "When fewer than eight hours separate two training sessions", eating between them makes "a 50% glycogen recovery difference based purely on timing".

What it says now

It says "When less than four hours of recovery separate two training sessions" and that "in one cycling study it cites, carbohydrate within thirty minutes restored glycogen 50% faster over four hours than the same dose two hours later".

Why, and the source

The ISSN position stand on nutrient timing recommends its rapid-refuelling strategies "If rapid restoration of glycogen is required (< 4 h of recovery time)". The 50% figure is one cycling study it cites: glycogen restoration "50% faster and more complete over a four-hour post-exercise period" with carbohydrate within 30 minutes rather than two hours after. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the line read against Mark's re-paste

Even protein meals: a day of higher muscle protein synthesis was told as more muscle built, and a three-meal skew as one meal

ShortBuilding Muscle After 40: What Your Daily Protein Total Misses ShortNight Shift Doesn’t Block Muscle Growth. It Collapses the Meal Pattern That Drives It.

What it said

The Shorts said "muscle built over a full day was 25% greater" when protein was spread evenly "compared to loading the same total into one large evening meal", that distribution "determines how much muscle the body builds" and "independently drives muscle growth", that the effect came from "three or four eating moments", and that it "works regardless of what time the clock says".

What it says now

They say "24-hour muscle protein synthesis was 25% higher" when the same protein was spread evenly across three meals rather than skewed toward the evening meal ("about 10, 15 and 65 grams"), "in eight adults aged 25 to 55", that the authors say such a difference "cannot be expected to change muscle mass within weeks or perhaps months", and that it "was measured with daytime meals".

Why, and the source

Mamerow et al. (2014) gave eight healthy adults aged 25 to 55 about 90 g of protein a day for 7 days, either about 30 g at each of three meals or about 10, 15 and 65 g, with meals at 09:30, 13:00 and 17:00. They measured 24-hour mixed muscle protein synthesis, which was 25% higher with the even pattern. They did not measure muscle growth, and they write that "modest, acute differences in 24-h muscle protein synthesis cannot be expected to precipitate changes in muscle mass or function over a period of weeks or perhaps months". Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

Q332 (DOI check) and the Q332 full reads against Mark's paste of 2026-10-10

A protein-distribution study was cited with DOIs that do not exist

ShortBuilding Muscle After 40: What Your Daily Protein Total Misses ShortNight Shift Doesn’t Block Muscle Growth. It Collapses the Meal Pattern That Drives It.

What it said

Two Shorts gave Mamerow et al. (2014) the DOIs 10.1093/jn/jnu015 and 10.1016/j.jnut.2014.01.001, which do not exist; one cut its title short after "Muscle Protein Synthesis".

What it says now

Both give the DOI 10.3945/jn.113.185280, and the title "Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults".

Why, and the source

The paper, in the Journal of Nutrition (2014;144(6):876-880), prints that DOI and title. Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

Q332 (DOI check) and the Q332 full reads against Mark's paste of 2026-10-10

A study where most older adults did not grow on single-set training was told as single sets working for most people

StudyRadaelli 2025: 151 Trials on Training Volume After 60

What it said

The page said "even single-set programs produce results for most people, though roughly 19% of older adults didn't respond", and that the single-set protocol came to "about eight sets" a week.

What it says now

It says "34 of 85 older adults grew muscle on a single set twice a week; the other 51 did not", that most of those grew with four sets "though 10 of the 51 (19%) still did not", and that the single set came to "two sets a week".

Why, and the source

Lixandrão et al. (2024) trained one leg with one set and the other with four sets of knee extension, twice a week for 10 weeks, in 85 older adults. 51 did not grow on the single set; 10 of those 51 (19%) did not grow on four sets either. One set twice a week is two sets a week; eight was the four-set leg. Source: Lixandrão ME, Bamman M, Vechin FC, et al. Higher resistance training volume offsets muscle hypertrophy nonresponsiveness in older individuals. J Appl Physiol. 2024;136:421-429.

Found by

Q332 (DOI check) and the Q332 read of every Lixandrão line against Mark's upload of 2026-10-10

A training-volume study was cited with another paper's DOI and a changed title

StudyRadaelli 2025: 151 Trials on Training Volume After 60

What it said

The study page cited Lixandrão et al. (2024) as "Higher resistance training volume offsets nonresponsiveness in older adults" with the DOI 10.1007/s00421-023-05382-6, another paper's.

What it says now

It cites "Higher resistance training volume offsets muscle hypertrophy nonresponsiveness in older individuals", J Appl Physiol, DOI 10.1152/japplphysiol.00670.2023.

Why, and the source

The paper (J Appl Physiol 2024;136:421-429) prints that title and DOI. Source: Lixandrão ME, Bamman M, Vechin FC, et al. Higher resistance training volume offsets muscle hypertrophy nonresponsiveness in older individuals. J Appl Physiol. 2024;136:421-429.

Found by

Q332 (DOI check) and the Q332 read of every Lixandrão line against Mark's upload of 2026-10-10

A protein dose-response trial was told with the wrong effect size, an oxidation finding it never measured, and a threshold it did not test outside a deficit

Short35 Grams Per Meal: Protein After Menopause Finally Has a Number

What it said

The Short said that at 35 grams it rose "63 percent above baseline", that "the extra protein is oxidized, not built into muscle", that the response "was identical in both groups", that the 35-gram target "holds whether she is maintaining or cutting", and that each woman had spent five days in caloric restriction "mimicking the opening phase of a weight loss diet".

What it says now

It says myofibrillar protein synthesis "was 32 percent higher than at 15 grams", that the trial did not measure oxidation, that the response "did not differ detectably" in energy balance, where "only 35 grams" was tested, and that thirty women spent five days on about 800 calories a day, "a severe, short restriction".

Why, and the source

Larsen et al. (2023) found myofibrillar protein synthesis 32% higher with 35 g than 15 g of whey, and no higher with 60 g; the 63% figure is fed against basal across all doses. The energy-balance group received 35 g only, and the authors note their parallel design was less sensitive than crossover studies. 30 of 40 women were restricted to about 800 kcal a day for 5 days, which the authors caution against translating to typical weight loss. They did not measure oxidation. The study was funded in part by Arla Foods Ingredients, which supplied the whey. Source: Larsen MS, Witard OC, Holm L, et al. Dose-Response of Myofibrillar Protein Synthesis To Ingested Whey Protein During Energy Restriction in Overweight Postmenopausal Women: A Randomized, Controlled Trial. J Nutr. 2023;153:3173-3184.

Found by

Q332 (DOI check) and the Q332 full read against Mark's paste of 2026-10-10

A protein dose-response trial in postmenopausal women was cited with a DOI that does not exist

Short35 Grams Per Meal: Protein After Menopause Finally Has a Number

What it said

The Short gave Larsen et al. (2023) the DOI 10.1016/j.jnut.2023.08.004, which does not exist, in its claim rows, For Researchers and visual, and an issue number the paper does not print.

What it says now

They carry the DOI 10.1016/j.tjnut.2023.08.011, already on the page's citation row.

Why, and the source

The paper (J Nutr 2023;153:3173-3184) prints that DOI. Source: Larsen MS, Witard OC, Holm L, et al. Dose-Response of Myofibrillar Protein Synthesis To Ingested Whey Protein During Energy Restriction in Overweight Postmenopausal Women: A Randomized, Controlled Trial. J Nutr. 2023;153:3173-3184.

Found by

Q332 (DOI check) and the Q332 full read against Mark's paste of 2026-10-10

A sleep-advice trial was told as showing that better sleep doubled fat loss

ClaimDoes Sleep Affect Whether You Lose Fat or Muscle?

What it said

The claim said "improving sleep amplified the exercise benefit", that participants "improved their sleep habits while exercising", and that the trial "Demonstrates that the sleep-body-composition relationship is modifiable".

What it says now

It says "sleep advice added to the exercise benefit", that "men given sleep health advice while they trained" lost more fat, and that the groups' insomnia-scale total scores "did not differ significantly".

Why, and the source

Jåbekk et al. (2020) gave one group of untrained men sleep health advice while both groups trained twice a week for 10 weeks; the advised group lost more fat (-1.8 vs -0.8 kg, P=0.02). Sleep itself was not shown to improve: "There were no significant group differences in Bergen Insomnia Scale total score". The authors write that the trial "suggests" added benefits. Source: Jåbekk P, Jensen RM, Sandell MB, Haugen E, Katralen LM, Bjorvatn B. A randomized controlled pilot trial of sleep health education on body composition changes following 10 weeks' resistance exercise. J Sports Med Phys Fitness. 2020;60(5):743-748.

Found by

Q332 (DOI check) and the Q332 full read against Mark's copies of 2026-06 (waived, M211) and 2026-10-10

A sleep-advice trial was cited with a DOI that does not exist

ClaimDoes Sleep Affect Whether You Lose Fat or Muscle?

What it said

The claim cited Jåbekk et al. (2020) with the DOI 10.23736/S0022-4707.20.10413-4, which does not exist, under the label "Jåbekk et al. 2020 — Sleep Education + Resistance Exercise on Body Composition".

What it says now

It gives the DOI 10.23736/S0022-4707.20.10136-1 and the title "A randomized controlled pilot trial of sleep health education on body composition changes following 10 weeks' resistance exercise".

Why, and the source

The paper (J Sports Med Phys Fitness 2020;60(5):743-748) prints the DOI 10.23736/S0022-4707.20.10136-1. Source: Jåbekk P, Jensen RM, Sandell MB, Haugen E, Katralen LM, Bjorvatn B. A randomized controlled pilot trial of sleep health education on body composition changes following 10 weeks' resistance exercise. J Sports Med Phys Fitness. 2020;60(5):743-748.

Found by

Q332 (DOI check) and the Q332 full read against Mark's copies of 2026-06 (waived, M211) and 2026-10-10

The ice bath versus sauna claim linked its winter-swimming study with another paper's DOI

ClaimIce Bath or Sauna — Which Is Better for Recovery After Training?

What it said

The evidence table and the statistics gave Søberg et al. (2021) the DOI 10.1016/j.cmet.2021.10.005, which opens another paper.

What it says now

They carry 10.1016/j.xcrm.2021.100408.

Why, and the source

The paper prints its own DOI: Cell Reports Medicine 2021;2(10):100408. Source: Søberg S, Löfgren J, Philipsen FE, et al. Altered brown fat thermoregulation and enhanced cold-induced thermogenesis in young, healthy, winter-swimming men. Cell Rep Med. 2021;2(10):100408.

Found by

Q332 (DOI check) and the Q332 read of every Søberg line on the page against Mark's paste of 2026-10-11

Energy use measured during 30 minutes of cooling was told as winter swimmers' everyday resting energy use

ClaimIce Bath or Sauna — Which Is Better for Recovery After Training?

What it said

The FAQ on calories said one study "found resting energy expenditure of 3,044 kcal/day compared to 2,560 kcal/day in non-swimmers", opened with "Neither burns enough to matter for fat loss", and the evidence row called the gap "small".

What it says now

It says the 3,044 and 2,560 kcal per 24 hours were measured during 30 minutes of cooling and calculated as if the rate held all day, that "At a comfortable temperature the two groups were the same", and that the study did not measure an ice bath or a sauna session.

Why, and the source

In the paper, 3,044 vs 2,560 kcal/24 h is energy expenditure during 30 minutes of cooling (a calculated 24-hour rate); at a thermal comfort state the groups did not differ (2,038 vs 2,005, p = 0.69). The authors call the cooling difference "substantially higher". Source: Søberg S, Löfgren J, Philipsen FE, et al. Altered brown fat thermoregulation and enhanced cold-induced thermogenesis in young, healthy, winter-swimming men. Cell Rep Med. 2021;2(10):100408.

Found by

Q332 (DOI check) and the Q332 read of every Søberg line on the page against Mark's paste of 2026-10-11

A winter-swimming study's brown fat findings were misdescribed

ClaimIce Bath or Sauna — Which Is Better for Recovery After Training?

What it said

The page credited the extra energy use to "the swimmers' increased brown adipose tissue" and said BAT glucose uptake "was NOT significantly different between groups".

What it says now

It says brown fat glucose uptake during cooling was comparable in both groups, that at a thermal comfort state "the controls showed modest uptake and the winter swimmers none", and that the source of the extra heat was likely a combination of brown fat and skeletal muscle.

Why, and the source

The paper found comparable BAT uptake during cooling, none in the winter swimmers at thermal comfort, and could not identify the source of the extra heat ("likely a combination of BAT and skeletal muscle"). Source: Søberg S, Löfgren J, Philipsen FE, et al. Altered brown fat thermoregulation and enhanced cold-induced thermogenesis in young, healthy, winter-swimming men. Cell Rep Med. 2021;2(10):100408.

Found by

Q332 (DOI check) and the Q332 read of every Søberg line on the page against Mark's paste of 2026-10-11

A review on fat intake and body weight was credited with an energy-density mechanism it does not discuss

ShortFat Kept Them Full. It Cost More Calories Than Anything Else.

What it said

The Short gave the review as the evidence that fat "costs 9 calories per gram", saying it was "citing energy density as the mechanism by which reducing fat reduces total calorie intake".

What it says now

That claim and its evidence are removed; the sources list says the review "does not assess energy density".

Why, and the source

Hooper et al. (2020) pooled trials of lower- versus higher-fat diets in adults not aiming to lose weight and found small reductions in body weight. The authors write that they did not assess the causal pathway, "and so the mechanism of the effect is not clear", and add: "It is likely that restricting energy from fat also reduces energy intake slightly". The review does not discuss energy density or calories per gram. Source: Hooper L, Abdelhamid AS, Jimoh OF, Bunn D, Skeaff CM. Effects of total fat intake on body fatness in adults. Cochrane Database Syst Rev. 2020;(6):CD013636.

Found by

Q332 (DOI check) and the Q332 full reads against Mark's paste of 2026-10-10

A Cochrane review on fat intake was cited under another review's title and a DOI that does not exist

ShortFat Kept Them Full. It Cost More Calories Than Anything Else.

What it said

The Short named the review "Reduction in saturated fat intake for cardiovascular disease" and gave it the DOI 10.1002/14651858.CD011834.pub3, which does not exist.

What it says now

It names the review "Effects of total fat intake on body fatness in adults", with the DOI 10.1002/14651858.CD013636.

Why, and the source

The review (Hooper et al., Cochrane Database of Systematic Reviews 2020, CD013636) prints that title and DOI. "Reduction in saturated fat intake for cardiovascular disease" is a different Hooper review (2015), and CD011834 is the 2015 version of this one. Source: Hooper L, Abdelhamid AS, Jimoh OF, Bunn D, Skeaff CM. Effects of total fat intake on body fatness in adults. Cochrane Database Syst Rev. 2020;(6):CD013636.

Found by

Q332 (DOI check) and the Q332 full reads against Mark's paste of 2026-10-10

A Short credited the ISSN coffee position stand to the wrong author and cited a caffeine meta-analysis under another paper's title and DOI

ShortEnergy Drinks and Coffee Tie in the Gym. The Tiebreaker Isn’t on the Label.

What it said

The Short named the ISSN coffee position stand "Higgins et al." and called it a "15-author" consensus, and cited Grgic et al. (2018) as "Wake Up and Smell the Coffee: Caffeine Supplementation and Exercise Performance" in J Strength Cond Res, DOI 10.1519/JSC.0000000000002899.

What it says now

It names the stand "Lowery et al." with its 14 authors, and cites Grgic et al. (2018) as "Effects of caffeine intake on muscle strength and power: a systematic review and meta-analysis" in J Int Soc Sports Nutr, DOI 10.1186/s12970-018-0216-0.

Why, and the source

The stand's byline opens with Lonnie M Lowery and lists 14 authors (J Int Soc Sports Nutr 2023;20(1):2237952); the Grgic paper prints its own title and DOI (J Int Soc Sports Nutr 2018;15:11). Source: Lowery LM, Anderson DE, Scanlon KF, et al. International society of sports nutrition position stand: coffee and sports performance. J Int Soc Sports Nutr. 2023;20(1):2237952. Grgic J, Trexler ET, Lazinica B, Pedisic Z. Effects of caffeine intake on muscle strength and power: a systematic review and meta-analysis. J Int Soc Sports Nutr. 2018;15:11.

Found by

Q332 (citation check) and the Q332 read of the Short against Mark's pastes of 2026-10-10 and 2026-10-11

A Short's chart description said reheating keeps most of the resistant starch gained by cooling; it keeps about a third

ShortCooling Potatoes Creates Resistant Starch. It Just Does Less Than You Heard.

What it said

The chart's description said "Reheating preserves most of the gain."

What it says now

It says reheating preserves about a third of the gain.

Why, and the source

Table 1: chilled 4.27, reheated 3.45, hot 3.00 g/100 g, so reheating keeps 0.45 of the 1.27 g/100 g gained by cooling. Source: Raatz SK, Idso L, Johnson LK, Jackson MI, Combs GF Jr. Resistant starch analysis of commonly consumed potatoes: Content varies by cooking method and service temperature but not by variety. Food Chem. 2016;208:297-300.

Found by

Q332 (citation check) and the Q332 read of the Short against Mark's pastes of 2026-10-11

A Short named the potato industry as a study's funders and left out the US Department of Agriculture

ShortCooling Potatoes Creates Resistant Starch. It Just Does Less Than You Heard.

What it said

The Short said the study was funded by "the US Potato Board" (and, for researchers, the Northern Plains Potato Growers Association).

What it says now

It adds the USDA Agricultural Research Service, and says the studies were funded "at least in part by the potato industry".

Why, and the source

The acknowledgment: "Funding for this work was provided by support from the United States Potato Board, the Northern Plains Potato Growers Association, and the United States Department of Agriculture, Agricultural Research Service". Source: Raatz SK, Idso L, Johnson LK, Jackson MI, Combs GF Jr. Resistant starch analysis of commonly consumed potatoes: Content varies by cooking method and service temperature but not by variety. Food Chem. 2016;208:297-300.

Found by

Q332 (citation check) and the Q332 read of the Short against Mark's pastes of 2026-10-11

A Short linked a potato resistant-starch study with a red-wine paper's DOI and the wrong volume

ShortCooling Potatoes Creates Resistant Starch. It Just Does Less Than You Heard.

What it said

The Short linked Raatz et al. 2016 with the DOI 10.1016/j.foodchem.2016.03.064 and cited it as Food Chemistry 210:1–6.

What it says now

It links DOI 10.1016/j.foodchem.2016.03.120, Food Chemistry 208:297–300.

Why, and the source

The journal's article page prints doi 10.1016/j.foodchem.2016.03.120, Volume 208, Pages 297-300. Source: Raatz SK, Idso L, Johnson LK, Jackson MI, Combs GF Jr. Resistant starch analysis of commonly consumed potatoes: Content varies by cooking method and service temperature but not by variety. Food Chem. 2016;208:297-300.

Found by

Q332 (citation check) and the Q332 read of the Short against Mark's pastes of 2026-10-11

A bulking Short said the 1999 overfeeding study used direct calorimetry; it used doubly labeled water and indirect calorimetry

What it said

The Short described the study as "controlled overfeeding study with direct calorimetry".

What it says now

It says "supervised overfeeding study with doubly labeled water and indirect calorimetry".

Why, and the source

Levine et al. (1999) measured total energy expenditure with doubly labeled water and resting and digestion costs with indirect calorimetry. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A bulking Short described non-exercise activity as unconscious movement; the overfeeding study defines it as all activity outside exercise

What it said

The Short called NEAT "unconscious daily movement", "the energy burned through unconscious movement", movement "without deciding to", and "unconscious movement that swings fat gain by up to 790 calories per day".

What it says now

It calls NEAT "everyday movement outside exercise: daily activity, posture, fidgeting", "whose rise predicted who resisted fat gain".

Why, and the source

Levine et al. (1999) define non-exercise activity thermogenesis as the energy of "physical activities other than volitional exercise, such as the activities of daily living, fidgeting, spontaneous muscle contraction, and maintaining posture", computed from total expenditure minus resting and digestion costs. The paper does not call it unconscious, and the 790 kcal/day is the range of the change in NEAT, not a swing in fat gain. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A bulking Short said the difference in everyday movement is largely biological and cannot be willed, on the strength of an overfeeding study that did not test it

What it said

The Short said "That difference is largely biological, not something you can will into existence", its FAQ that "This difference is largely biological", and its social description that "it’s largely biological".

What it says now

It no longer says so; it says the rise in everyday movement outside exercise "predicted who stayed lean" in an overfeeding study.

Why, and the source

Levine et al. (1999) measured how non-exercise activity changed when 16 adults were overfed for eight weeks. They did not test whether people can change it on purpose, and close by suggesting that "efforts to enhance NEAT activation, perhaps through behavioral cues, may be a fruitful approach to the prevention of obesity". Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A bulking Short said everyday movement "explains 77 percent" of who gains fat; the overfeeding study found a correlation of 0.77

What it said

The Short said NEAT "explains 77 percent of individual variation in who gains fat during a surplus", its og title said "Explains 77% of Fat Gain", and its chart split who gains fat into NEAT 77%, metabolism 8% and other 15%.

What it says now

It says the rise in NEAT "predicted who resisted fat gain, with a correlation of 0.77", and the chart shows only the range of the change in NEAT.

Why, and the source

Levine et al. (1999) report that changes in non-exercise activity thermogenesis predicted resistance to fat gain with a correlation coefficient of 0.77. A correlation is not a percentage of the difference explained, and the paper gives no share for NEAT, metabolism or anything else. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A bulking Short said resting metabolism accounted for 8 percent of who gains fat; 8 percent was its share of the extra energy

What it said

The Short said "basal metabolic rate accounted for just 8 percent of the variation" in who gains fat, and in its audio that it "explained eight percent of the difference in who gained fat".

What it says now

It says basal metabolic rate rose by about 79 calories a day, "about 8 percent of the extra energy eaten, and its changes did not account for who gained more fat".

Why, and the source

Levine et al. (1999): resting metabolism rose by 5%, "accounting for 8% of the excess ingested energy", and "the interindividual changes in BMR did not account for the variability in fat gain". Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

Steps beyond 7,000 were told as adding almost nothing

What it said

The claim said that beyond 7,000 steps "the additional benefit is nearly invisible in the data" and that going to 10,000 "adds about one percentage point".

What it says now

It says the gains past 7,000 get smaller but do not stop: the authors linked 10,000 steps to 10% lower mortality risk than 7,000.

Why, and the source

The 47% and 48% are both against 2,000 steps; the paper's post-hoc comparison linked 10 000 steps to 10% lower all-cause mortality risk than 7000, and its discussion calls the risks at 10 000 steps substantially lower for five outcomes. Source: Ding D, Nguyen B, Nau T, et al. Daily steps and health outcomes in adults: a systematic review and dose-response meta-analysis. Lancet Public Health. 2025;10:e668-81.

Found by

the Q332 full read against Mark's PDF of 2026-10-11

A steps meta-analysis was described as individual-participant data with unreported publication bias

What it said

The claim called Paluch et al. 2022 an "Individual participant meta-analysis of 15 international cohorts", said its publication bias was "not reported", gave hazard ratios at the age plateaus, and said it "Confirms and refines Ding's dose-response".

What it says now

It says the meta-analysis used study-level data processed to a standardised protocol and found no evidence of study selection bias, and gives the plateaus without hazard ratios.

Why, and the source

The authors: "In this meta-analysis we used study-level data"; "Egger's test for symmetry suggested no evidence of study selection bias"; the hazard ratios are not in the paper's text; its older adults plateau at 6000-8000 steps, while Ding's older subgroup is linear. Source: Paluch AE, Bajpai S, Bassett DR, et al. Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts. Lancet Public Health. 2022;7(3):e219-e228.

Found by

the Q332 read of the claim against Mark's re-paste of Paluch 2022 (2026-10-11)

A steps study's numbers were told against the wrong comparison, and some were wrong

What it said

The claim gave Ding's risk reductions "versus lowest quintile", said going from 2,000 to 3,000 steps "cuts your risk by about 15%", described the review as "57 studies across 161,000 people", and said its publication bias was "not formally assessed".

What it says now

The risk reductions are against 2,000 steps per day, the step from 2,000 to 3,000 is linked to about 23% lower risk, the 161,176 participants are its mortality analysis, and publication bias was assessed (no evidence of it).

Why, and the source

The paper compares every step count with 2000 steps per day; its table 2 gives an all-cause mortality hazard ratio of 0.77 at 3000 steps; 161 176 is the all-cause mortality sample; its funnel plot and Egger's test showed no evidence of publication bias. Source: Ding D, Nguyen B, Nau T, et al. Daily steps and health outcomes in adults: a systematic review and dose-response meta-analysis. Lancet Public Health. 2025;10:e668-81.

Found by

the Q332 full read against Mark's PDF of 2026-10-11

A steps study was cited with another paper's DOI and journal

What it said

The claim cited Ding et al. 2025 with the DOI 10.1016/j.jsams.2025.01.004, which is another paper, and named its journal as "Journal of Science and Medicine in Sport".

What it says now

It carries the paper's DOI, 10.1016/S2468-2667(25)00164-1, and its journal, "The Lancet Public Health".

Why, and the source

The paper prints that journal and DOI (Lancet Public Health 2025; 10: e668-81). Source: Ding D, Nguyen B, Nau T, et al. Daily steps and health outcomes in adults: a systematic review and dose-response meta-analysis. Lancet Public Health. 2025;10:e668-81.

Found by

Q332 (citation check) and the Q332 full read against Mark's PDF of 2026-10-11

A breakfast meta-analysis was told as showing the weight effect "disappeared entirely" after eight weeks

ShortThe ‘Most Important Meal of the Day’ Was Written in a Boardroom

What it said

The Short said the weight difference "disappeared entirely in trials lasting longer than eight weeks", that it "disappeared after eight weeks", that body composition "didn't budge in either group", and that the difference "may reflect fluid shifts rather than tissue changes".

What it says now

It says that "in the three trials lasting eight weeks or longer the weight difference was 0.04 kg and not significant", and that fat, lean mass and BMI "did not differ significantly between the groups"; the fluid-shift line is removed.

Why, and the source

Bonnet et al. pooled three trials of at least eight weeks (-0.04 kg, P = 0.94) and found no significant difference between the groups in BMI, lean mass or fat mass. They do not discuss fluid shifts, and they say effects over longer periods cannot be extrapolated. Source: Bonnet JP, Cardel MI, Cellini J, Hu FB, Guasch-Ferré M. Breakfast Skipping, Body Composition, and Cardiometabolic Risk: A Systematic Review and Meta-Analysis of Randomized Trials. Obesity (Silver Spring). 2020;28(6):1098-1109.

Found by

Q332 (citation check) and the Q332 full read against Mark's pastes and upload of 2026-10-10

A breakfast meta-analysis was cited under another journal, title and DOI

ShortThe ‘Most Important Meal of the Day’ Was Written in a Boardroom

What it said

The Short cited Bonnet et al. (2020) as "Nutrition Reviews", under the title "Effect of Breakfast Consumption and Skipping on Body Composition and Energy Intake", with the DOI "10.1093/nutrit/nuaa007", which is another paper.

What it says now

It cites the paper as "Obesity", "Breakfast Skipping, Body Composition, and Cardiometabolic Risk: A Systematic Review and Meta-Analysis of Randomized Trials", "10.1002/oby.22791".

Why, and the source

The paper is Obesity 2020;28(6):1098-1109, doi 10.1002/oby.22791, under that title. Source: Bonnet JP, Cardel MI, Cellini J, Hu FB, Guasch-Ferré M. Breakfast Skipping, Body Composition, and Cardiometabolic Risk: A Systematic Review and Meta-Analysis of Randomized Trials. Obesity (Silver Spring). 2020;28(6):1098-1109.

Found by

Q332 (citation check) and the Q332 full read against Mark's pastes and upload of 2026-10-10

A breakfast trial's 11-calorie metabolism difference was drawn as a boost, and its activity figure set against another study's

ShortThe ‘Most Important Meal of the Day’ Was Written in a Boardroom

What it said

The Short's chart labelled the trial's resting-metabolism figure "Metabolism boost", its schema said breakfast "increases resting metabolic rate by only 11 calories per day", and the page set the trial's 442 extra calories of activity against another study's 260 as "they ate even more than they burned", calling the result "net positive energy balance".

What it says now

The chart says "Resting metabolism gap"; the page gives the trial's own figures, "about 442 calories a day" more activity and "about 539 more" eaten, and says body weight "did not differ".

Why, and the source

Betts et al. found resting metabolic rate "stable within 11 kcal/d" (at follow-up the fasting group's was the higher), 442 kcal/d more activity and 539 kcal/d more intake with breakfast, and no difference in body mass between the groups. Source: Betts JA, Richardson JD, Chowdhury EA, Holman GD, Tsintzas K, Thompson D. The causal role of breakfast in energy balance and health: a randomized controlled trial in lean adults. Am J Clin Nutr. 2014;100(2):539-547.

Found by

Q332 (citation check) and the Q332 full read against Mark's pastes and upload of 2026-10-10

A breakfast and diabetes meta-analysis was told as showing that breakfast eaters weigh less

ShortThe ‘Most Important Meal of the Day’ Was Written in a Boardroom

What it said

The Short said "Breakfast eaters weighed less — across 96,000+ adults", that breakfast eaters "earned higher incomes", and that skippers in Ballon et al. 2019 "showed higher cardiometabolic risk markers".

What it says now

It says breakfast eaters weighed less "across many observational studies", lists the factors the paper names ("exercise more, smoke less and drink less alcohol"), and describes Ballon et al. as a study of "type 2 diabetes".

Why, and the source

Ballon et al. pooled six cohort studies of 96,175 adults on type 2 diabetes risk (RR 1.33; 1.22 after adjustment for BMI); they note that skippers are reported to smoke more, be less active, drink more alcohol and eat more energy, and say residual confounding cannot be ruled out. Income is not mentioned. Source: Ballon A, Neuenschwander M, Schlesinger S. Breakfast Skipping Is Associated with Increased Risk of Type 2 Diabetes among Adults: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. J Nutr. 2019;149:106-113.

Found by

Q332 (citation check) and the Q332 full read against Mark's pastes and upload of 2026-10-10

An overfeeding trial with no exercise program was told as proof that protein makes no difference without training

What it said

The Short called training "the prerequisite that cannot be skipped" and said "Without training, protein composition made zero difference" and "every extra calorie follows the same path no matter what it is made of".

What it says now

It says protein level did not change fat gain in adults on no exercise program, while "the 15 and 25 percent groups gained about 3 kilograms of lean mass and burned more energy", and that the protection "may depend on training".

Why, and the source

Bray et al. (2012): body fat rose similarly on the 5%, 15% and 25% protein diets, but lean mass rose by 2.87 kg and 3.18 kg on the 15% and 25% diets and not on the 5% diet, and total energy expenditure rose with protein; the authors conclude that protein affected energy expenditure and lean mass, but not body fat storage. The participants had no prescribed or regular exercise program, and the trial did not compare training with no training. Source: Bray GA, Smith SR, de Jonge L, Xie H, Rood J, Martin CK, Most M, Brock C, Mancuso S, Redman LM. Effect of dietary protein content on weight gain, energy expenditure, and body composition during overeating: a randomized controlled trial. JAMA. 2012;307(1):47-55.

Found by

Q332 (DOI check, AUTHOR lead) and the Q332 full read against Mark's paste of 2026-10-10

An overfeeding trial was cited with the DOI of a different article

What it said

The Short gave Bray et al. (2012) the DOI 10.1001/jama.2012.6, which is not this paper's DOI.

What it says now

It gives the DOI 10.1001/jama.2011.1918, and the lines that give the trial's figures say they come from the NIH author manuscript.

Why, and the source

The NIH author manuscript of the paper (JAMA 2012;307(1):47-55) prints that DOI for the published version. Source: Bray GA, Smith SR, de Jonge L, Xie H, Rood J, Martin CK, Most M, Brock C, Mancuso S, Redman LM. Effect of dietary protein content on weight gain, energy expenditure, and body composition during overeating: a randomized controlled trial. JAMA. 2012;307(1):47-55.

Found by

Q332 (DOI check, AUTHOR lead) and the Q332 full read against Mark's paste of 2026-10-10

A breakfast-skipping review was told as showing an effect that vanished at eight weeks, and its conclusion was reworded

ClaimDoes When You Eat Actually Matter? What 7 Controlled Studies Found

What it said

The claim said the review found "a half-kilogram difference that vanished completely at eight weeks", quoted its conclusion as "without the context of overall caloric restriction or diet quality improvements", and gave its breakfast result as "no significant difference".

What it says now

It says skippers lost about half a kilogram more, a difference that "was not significant in the three trials of eight weeks or longer", quotes the conclusion word for word ("or improvements in diet quality", "for most individuals"), and gives the result as "small weight difference; no body-composition difference".

Why, and the source

Bonnet et al. (2020, author manuscript): breakfast skipping "significantly reduced body weight" (-0.54 kg, P = 0.04); "Three trials had a duration of at least 8 weeks" (-0.04 kg, P = 0.94); "neither skipping nor consuming breakfast alone, without the context of overall caloric restriction or improvements in diet quality, is an effective strategy for clinically significant weight loss for most individuals". Source: Bonnet JP, Cardel MI, Cellini J, Hu FB, Guasch-Ferré M. Breakfast Skipping, Body Composition, and Cardiometabolic Risk: A Systematic Review and Meta-Analysis of Randomized Trials. Obesity (Silver Spring). 2020;28(6):1098-1109.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10

A breakfast-skipping review was cited with another paper's DOI and in the wrong journal

ClaimDoes When You Eat Actually Matter? What 7 Controlled Studies Found

What it said

The claim cited Bonnet et al. (2020) with the DOI 10.3390/nu12123194, which belongs to another paper, as "Bonnet, Nutrients 2020".

What it says now

It gives the DOI 10.1002/oby.22791, the journal Obesity and the title "Breakfast Skipping, Body Composition, and Cardiometabolic Risk: A Systematic Review and Meta-Analysis of Randomized Trials".

Why, and the source

The review was published in Obesity (Silver Spring) 2020;28(6):1098-1109, DOI 10.1002/oby.22791. Source: Bonnet JP, Cardel MI, Cellini J, Hu FB, Guasch-Ferré M. Breakfast Skipping, Body Composition, and Cardiometabolic Risk: A Systematic Review and Meta-Analysis of Randomized Trials. Obesity (Silver Spring). 2020;28(6):1098-1109.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10

An eating-frequency review was told as pooling 16 trials and finding zero difference

ClaimDoes When You Eat Actually Matter? What 7 Controlled Studies Found

What it said

The claim said the review pooled 16 trials, comparing "three times a day to people eating six", and found "Zero difference across nine outcomes" and "zero difference across every marker measured".

What it says now

It says the review reviewed 16 trials, comparing "three or fewer meals a day with people eating four or more", and found "no significant difference on any of the nine outcomes they could pool, though the evidence was of very low certainty".

Why, and the source

Blazey et al. (2023): "Seventeen reports covering 16 trials were included in the systematic review. Data from five trials were excluded from meta-analysis"; the weight analysis pooled eight trials; the review compared three or fewer with four or more meals a day and rated the evidence of very low certainty. Source: Blazey P, Habibi A, Hassen N, Friedman D, Khan KM, Ardern CL. The effects of eating frequency on changes in body composition and cardiometabolic health in adults: a systematic review with meta-analysis of randomized trials. Int J Behav Nutr Phys Act. 2023;20:133.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10

An eating-frequency review was cited with a DOI that does not exist and in the wrong journal

ClaimDoes When You Eat Actually Matter? What 7 Controlled Studies Found

What it said

The claim cited Blazey et al. (2023) with the DOI 10.1080/10408398.2023.2290224, which does not exist, as "Blazey, Crit Rev Food Sci Nutr 2023".

What it says now

It gives the DOI 10.1186/s12966-023-01532-z, the journal "Int J Behav Nutr Phys Act" and the full title.

Why, and the source

The review is Int J Behav Nutr Phys Act 2023;20:133, DOI 10.1186/s12966-023-01532-z. Source: Blazey P, Habibi A, Hassen N, Friedman D, Khan KM, Ardern CL. The effects of eating frequency on changes in body composition and cardiometabolic health in adults: a systematic review with meta-analysis of randomized trials. Int J Behav Nutr Phys Act. 2023;20:133.

Found by

Q332 (DOI check) and the Q332 full read against Mark's pastes of 2026-10-10

A soy sauce and iron study was cited with another paper's DOI, and on one page under a composed title and the wrong journal

ShortSoy Sauce Triples Iron Absorption. Soy Protein Blocks It. ShortHow Your Plate Controls Iron Absorption

What it said

Two Shorts linked Baynes et al. (1990) to the DOI 10.1093/ajcn/51.4.547, which belongs to another paper; one named it "The effect of traditional food processing methods on iron absorption from a composite rice and soy meal" in the American Journal of Clinical Nutrition.

What it says now

Both link the paper's PubMed record (PMID 2387277; the record shows no DOI) under its title, "The promotive effect of soy sauce on iron absorption in human subjects", in the European Journal of Clinical Nutrition.

Why, and the source

The paper is Eur J Clin Nutr 1990;44(6):419-24, PMID 2387277; its record gives no DOI. Source: Baynes RD, Macfarlane BJ, Bothwell TH, Siegenberg D, Bezwoda WR, Schmidt U, Lamparelli RD, Mayet F, MacPhail AP. The promotive effect of soy sauce on iron absorption in human subjects. Eur J Clin Nutr. 1990;44(6):419-24. PMID: 2387277.

Found by

Q332 (DOI check) and the Q332 full reads against Mark's paste of the PubMed record, 2026-10-10

A soy sauce and iron study was given a mechanism it never describes, and its tests were told more broadly than they ran

ShortSoy Sauce Triples Iron Absorption. Soy Protein Blocks It. ShortHow Your Plate Controls Iron Absorption

What it said

The Shorts said "Months of microbial breakdown dismantle the proteins that trap iron", that the effect came "not from the absence of soy protein", that adding "an equivalent amount of lactic acid to the same rice meal" left absorption unchanged, that the effect held for grain-based meals and noodles but not tofu, and named "organic acid chelation".

What it says now

They say the authors gave two reasons, the sauce's "lack of soy protein" and "possibly, fermentation products other than organic acids", that "340 milligrams of lactic acid" took absorption "from 2.2% to 3.1%", not significantly, and that the trial tested rice and soy flour meals ("tofu and noodles were not tested").

Why, and the source

The abstract of Baynes et al. (1990) reports rice and soy flour meals only: soy sauce raised absorption from a rice meal from 3.5% to 11.4% (P = 0.0002) and could not overcome a soy flour meal's inhibition (7.2% vs 8.7%, P = 0.5); 340 mg lactic acid added to rice gave 3.1% vs 2.2% (P = 0.11). The authors write that the effect "appears to be due not only to its lack of soy protein content but may also be due to the presence of fermentation products other than organic acids". Source: Baynes RD, Macfarlane BJ, Bothwell TH, Siegenberg D, Bezwoda WR, Schmidt U, Lamparelli RD, Mayet F, MacPhail AP. The promotive effect of soy sauce on iron absorption in human subjects. Eur J Clin Nutr. 1990;44(6):419-24. PMID: 2387277.

Found by

Q332 (DOI check) and the Q332 full reads against Mark's paste of the PubMed record, 2026-10-10

A protein-overfeeding trial was cited with a DOI that does not exist

What it said

The Short gave Antonio et al. (2014) the DOI 10.1186/s12970-014-0039-y, which does not exist.

What it says now

It gives the DOI 10.1186/1550-2783-11-19.

Why, and the source

The paper (J Int Soc Sports Nutr 2014;11:19) prints that DOI. Source: Antonio J, Peacock CA, Ellerbroek A, Fromhoff B, Silver T. The effects of consuming a high protein diet (4.4 g/kg/d) on body composition in resistance-trained individuals. J Int Soc Sports Nutr. 2014;11:19.

Found by

Q332 (DOI check) and the Q332 full read against Mark's paste of 2026-10-10

A protein-overfeeding trial was told as an all-protein surplus with zero fat gain, and its authors' untested explanation as how it worked

What it said

The Short said "an 800-calorie-per-day surplus entirely from protein" produced "zero fat gain", and that "Processing protein costs between 20 and 30 percent of the calories it contains, and NEAT compensation absorbs much of what remains."

What it says now

It says "More than 800 extra calories a day, including 145 extra grams of protein," produced "no significant change in fat mass", and that the trial measured "body composition, training volume and self-reported food intake, not where the extra calories went".

Why, and the source

Antonio et al. (2014): the high-protein group ate over 800 calories more a day, 145 g of it extra protein; carbohydrate and fat intake rose too, and there were no significant changes in fat mass. The thermic effect of protein is the authors' suggestion ("One might suggest"), not something the trial measured. The same error was corrected on two other Shorts on 2026-09-26 (record 2026-09-26-antonio-2014-explanation-stated-as-finding). Source: Antonio J, Peacock CA, Ellerbroek A, Fromhoff B, Silver T. The effects of consuming a high protein diet (4.4 g/kg/d) on body composition in resistance-trained individuals. J Int Soc Sports Nutr. 2014;11:19.

Found by

Q332 (DOI check) and the Q332 full read against Mark's paste of 2026-10-10

Four recipes misstated how absorption and muscle building ran after the 100-gram dose

RecipeChicken, Egg, Avocado & Bacon Salad RecipeChicken Satay Bowl with Rice & Garden Peas RecipeSmoked Salmon & Spinach Omelet with Cottage Cheese RecipeTuna Salad Bun

What it said

Recipes said "Uptake never plateaued", "Muscle protein synthesis never plateaued", that at three hours "the body had processed maybe half the protein", and "Muscle protein synthesis was still climbing at hour twelve".

What it says now

They say release "had not plateaued by the end", "only about a quarter of the protein had reached the blood by hour four", and "Muscle protein synthesis was still raised at hour twelve".

Why, and the source

Trommelen et al. (2023) measured for 12 hours. After 100 grams, 26%, 44% and 53% of the protein had reached the blood by 4, 8 and 12 hours, and the release had not plateaued; the muscle response was sustained, not shown rising. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 4: the recipes)

Four recipes told the authors' view on other proteins as something the study tested

RecipeChicken, Egg, Avocado & Bacon Salad RecipeSmoked Salmon & Spinach Omelet with Cottage Cheese RecipeZucchini, Mango & Spicy Tofu Salad RecipeTeriyaki Chicken Poke Bowl

What it said

Recipes said "Your body processes them in parallel", that the body uses it all "regardless of whether it arrives fast or slow", "plant source and all", and "regardless of source diversity".

What it says now

They say the study gave milk protein and "its authors judge the findings likely to apply to other proteins".

Why, and the source

Trommelen et al. (2023) gave milk protein only. Drawing on their own trial of whey and casein, the authors judge the responses "unlikely to be restricted to more slowly digestible proteins". Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 4: the recipes)

Three recipes cited the study for a protein dose threshold it did not test

RecipeHigh-Protein Roll with Cucumber & Turkey RecipeCurried Turkey Salad Sandwich RecipeSandwich with Bell Pepper Salad & Roast Beef

What it said

Recipes said "Seventeen grams registers the same way any dose does", that 30 grams sits in "the range where muscle protein synthesis is fully active", and "More than enough to trigger muscle protein synthesis per sitting".

What it says now

They say "25 grams was its smallest protein dose" and "the bigger dose raised muscle protein synthesis more".

Why, and the source

Trommelen et al. (2023) compared 0, 25 and 100 grams and found a dose-dependent response: 100 grams raised muscle protein synthesis more than 25 grams. It tested nothing below 25 grams and described no "fully active" range. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 4: the recipes)

Five recipes cited Trommelen et al. 2023 with a DOI or journal it does not have

RecipeChicken Pad Thai RecipeLemon Orzo with Chicken & Asparagus RecipePita Burger with Feta & Avocado-Cucumber Salad RecipePita Turkey Burger & Pineapple RecipeShrimp Pad Thai

What it said

Recipes gave the paper the DOIs "10.1016/j.celrep.2023.113620", "10.1016/j.cmet.2023.10.005" and "10.1016/j.celrep.2023.113324", and one named its journal as "Cell Reports".

What it says now

Every citation gives "10.1016/j.xcrm.2023.101324" and the journal "Cell Reports Medicine".

Why, and the source

That is the DOI and journal the paper prints (Cell Rep Med. 2023;4(12):101324). Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 4: the recipes)

Five recipe collections said the body uses every gram of a big protein dose

Recipe hub5 Ingredient Meals Recipe hubChicken Recipes Recipe hubPasta Recipes Recipe hubSalad Recipes Recipe hubQuick Recipes

What it said

Recipe collections said "the research says the body handles every gram", "no waste", "All of it gets used", that the study "found the body uses all ingested protein for muscle building", "None of it goes to waste" and "Your body handles all of it".

What it says now

They say "the research found no upper limit up to 100 grams", "very little was burned for energy", "No ceiling up to 100g" and "Very little of a big dose is burned for energy".

Why, and the source

Trommelen et al. (2023) found no upper limit up to 100 grams and only a negligible rise in protein burned for energy. Of the 100 grams, 53% had reached the blood and 13 grams had been built into muscle protein by 12 hours. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Five recipe collections misdescribed who the 100-gram study tested and how long earlier studies measured

Recipe hub5 Ingredient Meals Recipe hubChicken Recipes Recipe hubEgg Recipes Recipe hubSalad Recipes Recipe hubSweet Potato Recipes

What it said

Recipe collections called the participants "trained subjects", "trained adults aged 18 to 40" and "36 trained men", said earlier studies "stopped at 3–5 hours" or "stopped watching after 3–5 hours", and said 100 grams "from a single meal was still fueling muscle repair".

What it says now

They say "recreationally active young men", "measured for 6 hours or less" and "100g taken after a workout was still being built into muscle".

Why, and the source

Trommelen et al. (2023) studied 36 healthy, recreationally active young men, aged 18 to 40, who drank the protein right after a workout. It describes the earlier dose studies as measuring for 6 hours or less. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Quick-recipes collection told an oxidation figure from earlier studies as the 100-gram study's result

Recipe hubQuick Recipes

What it said

The collection said the 100 grams were "less than 15% oxidized".

What it says now

It says "only a negligible rise in protein burned for energy".

Why, and the source

In Trommelen et al. (2023) the rise in oxidation was negligible next to whole-body protein synthesis; the under-15% figure is the authors' re-analysis of earlier studies. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

25 recipe and collection pages misdescribed who the 100-gram study tested and how it was run

Show all 25 pages

Recipe hubHigh-Protein Gluten Free Recipes Recipe hubHigh-Protein Breakfast Recipes Recipe hubHigh-Protein Lunch Recipes Recipe hubHigh-Protein Recipes Recipe hubLow Calorie Breakfast Recipes RecipeTeriyaki Salmon with Noodles, Mushrooms & Green Beans Recipe hubCottage Cheese Recipes Recipe hubHigh-Protein Dinner Recipes Recipe hubHigh Protein Vegetarian Recipes Recipe hubLunch Recipes Recipe hubTuna Recipes RecipeApple Slices with Tuna Salad RecipeBacon & Broccoli Macaroni RecipeChicken & Spinach Penne RecipeChicken Stir-Fry with Zucchini & Mushrooms RecipeHearty Italian Soup — Carrot, Zucchini, Pasta & Chicken RecipeMediterranean Tuna Salad Wrap RecipeSpinach & Grilled Chicken Salad Bowl RecipeTacos with Pulled Chicken & Salsa RecipeTeriyaki Salmon with Green Beans & Rice Recipe hubBeef Recipes Recipe hubTurkey Recipes Recipe hubHigh-Protein Snack Recipes RecipeAsian Chicken & Edamame Snack RecipeBread with Tuna, Avocado & Tomato

What it said

Pages said the study "gave trained men 100 grams" or "fed trained men 100 grams of protein at once", that it was "A 2023 RCT with 36 trained men", that "trained men ate 100 grams in a single sitting", described its participants as "predominantly healthy, trained adults aged 18 to 40", called the dose "A 100g serving" and "100g of protein in one sitting", said it "tracked where every amino acid landed" and checked "the next day", that the earlier studies "stopped measuring at 3 to 5 hours", and called it "a full-day tracking experiment".

What it says now

They say "recreationally active young men", that the protein was "taken as a drink right after a workout", "drunk right after a workout" or given "in one drink right after a workout", and that the earlier studies "measured for 6 hours or less".

Why, and the source

Trommelen et al. (2023) studied 36 healthy, recreationally active young men aged 18 to 40. Each drank 0, 25 or 100 grams of milk protein, labelled with tracers, in one drink right after a single workout, and was measured for 12 hours. The earlier dose studies it set out to test had given 45 grams or less and measured for 6 hours or less. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

FitChef's legal audit (the house's wire, 2026-10-18) and the LFG2 sweep (retracted_gate.py and batch 2's full reads, 2026-10-19), each page read in full against Mark's re-paste of the study

Two recipe collections said muscle-building signals were still active 12 hours after the 100-gram dose

Recipe hubHigh-Protein Lunch Recipes Recipe hubCottage Cheese Recipes

What it said

The high-protein lunch collection said "Muscle-building signals were still active at the end, with no sign of slowing down"; the cottage cheese collection said "the muscle-building signal was still firing twelve hours later".

What it says now

They say "Muscle protein synthesis was still raised at the end" and "muscle protein synthesis was still raised twelve hours later".

Why, and the source

Trommelen et al. (2023) saw no effect of protein feeding on muscle signalling in the biopsies at 4, 8 and 12 hours. What stayed raised was muscle protein synthesis, about 40 percent higher than after 25 grams in hours 4 to 12. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

FitChef's legal audit (the house's wire, 2026-10-18) and the LFG2 sweep (retracted_gate.py and batch 2's full reads, 2026-10-19), each page read in full against Mark's re-paste of the study

16 recipe and collection pages told the result of a 100-gram dose as true of their own meals

Show all 16 pages

Recipe hubHigh-Protein Lunch Recipes RecipeTuna Salad Sandwich with Pickles & Apple Recipe hubHigh-Protein Dinner Recipes Recipe hubLunch Recipes Recipe hubNo-Cook Meals Recipe hubQuick Lunch Recipes Recipe hubTuna Recipes RecipeBacon & Broccoli Macaroni RecipeChicken & Spinach Penne RecipeCucumber Boats with Herbed Cottage Cheese RecipeHearty Italian Soup — Carrot, Zucchini, Pasta & Chicken RecipeNiçoise Salad with Tuna Steak RecipePeanut Butter & Banana Roll Up RecipeSpinach & Grilled Chicken Salad Bowl Recipe hubBeef Recipes RecipeAsian Chicken & Edamame Snack

What it said

Pages said, right after the 12-hour result of a 100-gram dose, "Forty-eight grams from this sandwich is comfortably within range", "Every lunch here falls within the range the research supports", "Your 28g lunch lands well inside that window" and "Forty-four grams is well within what your body handles in one sitting"; the high-protein lunch collection said of its 33-gram lunches that a 2023 tracer experiment "showed the body was still using protein at the 12-hour mark"; and one told the result of protein in general: "The body processes protein over 12+ hours".

What it says now

They place the page's own protein "between the 25-gram and 100-gram doses that study compared" (the sandwich: "sits between the 25-gram and 100-gram doses the study compared") and tell the 12-hour result of the 100-gram dose ("gave 100g of protein in one drink right after a workout, and the body was still using it at the 12-hour mark").

Why, and the source

In Trommelen et al. (2023) the response lasting 12 hours and more followed 100 grams taken right after a workout; after 25 grams, most of the drink's protein that reached muscle got there in the first 4 hours. The study compared 0, 25 and 100 grams; it did not test the pages' own amounts. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

FitChef's legal audit (the house's wire, 2026-10-18) and the LFG2 sweep (retracted_gate.py and batch 2's full reads, 2026-10-19), each page read in full against Mark's re-paste of the study

A smoothie recipe said 0.4 grams of protein per kilogram puts the per-meal ceiling well above 38 grams for most adults

RecipeBanana & Peanut Butter Smoothie

What it said

The banana peanut butter smoothie's answer said that "0.4 grams per kilogram per meal" "puts the effective ceiling well above 38 grams for most adults".

What it says now

That clause is removed; the answer gives the figure on its own.

Why, and the source

0.4 grams per kilogram comes to 38 grams only for an adult of 95 kilograms. For an adult of 60 to 90 kilograms it is 24 to 36 grams: below 38 grams, not well above it.

Found by

The LFG2 sweep (2026-10-19), reading the page in full

A recipe collection said casein gives the body even more time than the 100-gram study allowed

Recipe hubCottage Cheese Recipes

What it said

The cottage cheese collection said, after the 100-gram study's result, "Casein's slow release gives the body even more runway" and "Casein's slow release means the body has even more time to process the dose".

What it says now

It says "That study's milk protein was 80% casein, the same slow protein as cottage cheese".

Why, and the source

Trommelen et al. (2023) gave milk protein, which is 20 percent whey and 80 percent casein: its result already reflects a mostly casein protein. The authors judge their finding unlikely to be restricted to slowly digestible proteins. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

FitChef's LFG2 sweep (retracted_gate.py, 2026-10-19) and the batch 2 full reads (2026-10-19), each page read in full against Mark's re-paste of the study

Two recipe collections claimed more for the 100-gram study than its authors do

Recipe hubCottage Cheese Recipes Recipe hubHigh-Protein Snack Recipes

What it said

The cottage cheese collection called the study "the most precise measurement ever applied to this question"; the high-protein snack collection said "The data says yes — without qualification."

What it says now

They say "a comprehensive way to follow the protein" and "though not every gram went into muscle".

Why, and the source

The authors call their four-tracer approach comprehensive, not the most precise ever applied. Their finding is qualified: young men, one drink of milk protein after a workout, 12 hours of measurement. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

FitChef's LFG2 sweep (retracted_gate.py, 2026-10-19) and the batch 2 full reads (2026-10-19), each page read in full against Mark's re-paste of the study

A recipe collection called the 100-gram tracer study a meta-analysis

Recipe hubHigh Protein Vegetarian Recipes

What it said

The high-protein vegetarian collection credited "a meta-analysis tracking per-meal protein" with the 100-gram result.

What it says now

It says "2023 tracer study".

Why, and the source

Trommelen et al. (2023) is a randomized, double-blind, placebo-controlled trial in 36 young men, not a meta-analysis. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

FitChef's LFG2 sweep (retracted_gate.py, 2026-10-19) and the batch 2 full reads (2026-10-19), each page read in full against Mark's re-paste of the study

Recipes said the body uses every gram of a big protein serving

Show all 22 pages

RecipeBLT Burger RecipeChicken Pad Thai RecipeChicken Satay Bowl with Rice & Garden Peas RecipeCiabatta Pizza with Tuna & Bell Pepper RecipeCurry Chicken with Quinoa & Asparagus RecipeHasselback Zucchini with Grilled Chicken RecipeHealthy Pita Nachos with Ground Beef & Cottage Cheese RecipeHigh-Protein Roll with Cucumber & Turkey RecipeLemon Orzo with Chicken & Asparagus RecipePita Burger with Feta & Avocado-Cucumber Salad RecipeSandwich with Bell Pepper Salad & Roast Beef RecipeShrimp Pad Thai RecipeSmoked Salmon & Spinach Omelet with Cottage Cheese RecipeSpaghetti with Broccoli & Sun-Dried Tomatoes RecipeStuffed Chicken Breast with Grilled Eggplant RecipeStuffed Portobello Mushrooms with Peas & Cottage Cheese RecipeTuna Bowl with Mango, Beet & Avocado RecipeTuna Pesto Penne with Peas & Green Beans RecipeTuna Salad Bun RecipeZucchini, Mango & Spicy Tofu Salad RecipeCurried Turkey Salad Sandwich RecipeTeriyaki Chicken Poke Bowl

What it said

Recipes said "the body absorbs it all", "Your body uses all of it", "every gram gets used", "not a single gram goes to waste", that a dose sat "well within the range the body fully uses" and "Your body handles all 49 grams from this sandwich".

What it says now

They say "very little of the protein was burned for energy", "no ceiling up to 100 grams taken after a workout", or that the recipe's protein lies between the 25-gram and 100-gram doses the study compared.

Why, and the source

Trommelen et al. (2023) found no upper limit up to 100 grams and only a negligible rise in protein burned for energy. Of the 100 grams, 53% had reached the blood and 13 grams had been built into muscle protein by 12 hours. The study did not test the recipes' amounts. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 4: the recipes)

Recipes misdescribed how the 100-gram protein study was run

Show all 28 pages

RecipeBLT Burger RecipeChicken, Egg, Avocado & Bacon Salad RecipeChicken Pad Thai RecipeChicken Satay Bowl with Rice & Garden Peas RecipeCiabatta Pizza with Tuna & Bell Pepper RecipeCouscous with Chicken Tandoori & Garden Peas RecipeCucumber Sticks with Tuna Salad RecipeCurry Chicken with Quinoa & Asparagus RecipeHawaiian Turkey Salad RecipeHealthy Pita Nachos with Ground Beef & Cottage Cheese RecipeHigh-Protein Roll with Cucumber & Turkey RecipeMediterranean Chicken Avocado Penne Salad RecipePita Burger with Feta & Avocado-Cucumber Salad RecipeSandwich with Bell Pepper Salad & Roast Beef RecipeShakshuka with Ground Beef & Eggplant RecipeShrimp Pad Thai RecipeSmoked Salmon & Spinach Omelet with Cottage Cheese RecipeSpaghetti with Broccoli & Sun-Dried Tomatoes RecipeStuffed Chicken Breast with Grilled Eggplant RecipeStuffed Portobello Mushrooms with Peas & Cottage Cheese RecipeTuna Bowl with Mango, Beet & Avocado RecipeTuna & Pasta Salad RecipeTuna Pesto Penne with Peas & Green Beans RecipeTuna Salad Bun RecipeZucchini, Mango & Spicy Tofu Salad RecipeChicken Curry Salad Toast with Mandarin RecipeCurried Turkey Salad Sandwich RecipeTeriyaki Chicken Poke Bowl

What it said

Recipes described the dose as "100 grams of protein in a single sitting" or a meal, called the study "A 2023 review published in Cell Reports Medicine" and "A controlled crossover study", said earlier studies "only measured for three to five hours", that it "tracked total protein use over a full day", used "molecules that light up under a scanner", and studied men "who trained regularly".

What it says now

They say the protein was "taken in one drink right after a workout", "A 2023 randomized controlled trial published in Cell Reports Medicine", and that the earlier studies "measured for six hours or less".

Why, and the source

Trommelen et al. (2023) was a randomized, placebo-controlled trial in 36 healthy, recreationally active young men, 12 per group. Each drank 0, 25 or 100 grams of milk protein right after one workout and was measured for 12 hours with tracers in blood and muscle samples. It describes the earlier dose studies as giving 45 grams or less and measuring for 6 hours or less. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 4: the recipes)

Recipes told the 100-gram result as true of a smaller dose or any meal

RecipeBean & Bulgur Chili Bowl RecipeBLT Burger RecipeChicken Pad Thai RecipeChicken Satay Bowl with Rice & Garden Peas RecipePita Burger with Feta & Avocado-Cucumber Salad RecipeSandwich with Bell Pepper Salad & Roast Beef RecipeSmoked Salmon & Spinach Omelet with Cottage Cheese RecipeTuna Pesto Penne with Peas & Green Beans

What it said

Recipes said "30g protein per meal exceeds debunked 30g ceiling", "Your 52g is well within range", that 25 grams left muscle protein synthesis "still active at the 12-hour mark", and "The twenty-five gram group finished absorbing within about five hours".

What it says now

They say "25 grams raised muscle protein synthesis above a placebo drink", and that protein was still being built into tissue "after a 100-gram dose taken right after a workout".

Why, and the source

In Trommelen et al. (2023) the more-than-12-hour response followed 100 grams taken after a workout. After 25 grams, blood amino acids stayed above placebo for about 5 hours and most of the drink's protein that reached muscle got there in the first 4 hours; over 12 hours, 25 grams raised muscle protein synthesis above placebo and 100 grams raised it more. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 4: the recipes)

Three recipes told an oxidation figure from earlier studies as the 100-gram study's result

RecipeCiabatta Pizza with Tuna & Bell Pepper RecipeCucumber Sticks with Tuna Salad RecipeShakshuka with Ground Beef & Eggplant

What it said

Recipes said "with less than 15% going to oxidation", "with less than 15% going to waste" and "with less than 15% oxidized for energy".

What it says now

They say "the rise in protein burned for energy was negligible" or "only a negligible rise in protein burned for energy".

Why, and the source

In Trommelen et al. (2023) the rise in oxidation was negligible next to whole-body protein synthesis. The under-15% figure is the authors' re-analysis of earlier dose-response studies, and protein burned for energy is not waste. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 4: the recipes)

78 recipe and collection pages said the body uses every gram of a big protein dose, or answered yes to using all of it

Show all 78 pages

Recipe hubHigh-Protein Gluten Free Recipes Recipe hubHigh-Protein Breakfast Recipes Recipe hubHigh-Protein Lunch Recipes Recipe hubHigh-Protein Recipes Recipe hubLow Calorie Breakfast Recipes RecipeBanana & Peanut Butter Smoothie RecipeCauliflower Mash with Green Beans & Turkey Meatballs RecipeNoodles with Spicy Ground Beef & Green Beans RecipePasta Salad with Garden Peas & Turkey Meatballs RecipePoke Bowl with Quinoa, Tofu, Avocado & Edamame RecipeTacos with Cod & Bell Pepper Strips RecipeTeriyaki Salmon with Noodles, Mushrooms & Green Beans RecipeTuna Salad Sandwich with Pickles & Apple Recipe hubCottage Cheese Recipes Recipe hubHigh-Protein Dinner Recipes Recipe hubHigh Protein Vegetarian Recipes Recipe hubLunch Recipes Recipe hubNo-Cook Meals Recipe hubQuick Lunch Recipes Recipe hubTuna Recipes Recipe hubVegetarian Lunch Recipes RecipeApple Slices with Tuna Salad RecipeBacon & Broccoli Macaroni RecipeCarrot & Bok Choy Stir-Fry with Tuna Steak RecipeChicken & Spinach Penne RecipeChicken Stir-Fry with Zucchini & Mushrooms RecipeCreamy Salmon & Spinach Spaghetti RecipeCreamy Tomato Soup with Lentils RecipeCucumber Boats with Herbed Cottage Cheese RecipeHearty Italian Soup — Carrot, Zucchini, Pasta & Chicken RecipeLentil Salad with Tomato & Zucchini RecipeLoaded Sweet Potato Bowl with Turkey & Avocado RecipeMediterranean Roasted Veggie & Chickpea Ciabatta RecipeMediterranean Tuna Salad Wrap RecipeMexican Cauliflower Rice Bowl with Chicken RecipeNiçoise Salad with Tuna Steak RecipeNoodles with Beef, Carrot & Radish RecipePeanut Butter & Banana Roll Up RecipeSalad with Apple, Smoked Salmon & Garlic Dressing RecipeSalad with Cabbage & Raisins RecipeSpaghetti Bami with Chicken & Broccoli RecipeSpinach & Grilled Chicken Salad Bowl RecipeSunny-Side Up Egg with Turkey Strips RecipeSweet Couscous with Dates & Feta RecipeSweet Potato & Chickpea Curry with Rice RecipeTacos with Pulled Chicken & Salsa RecipeTeriyaki Salmon with Green Beans & Rice RecipeTurkey Burger Pita Pocket RecipeTurkey burger with portobello ‘bun’ & fresh side salad RecipeTurkey & Cheese Sandwich RecipeYogurt with Pineapple, Nuts & Honey RecipeZucchini and Tuna Rice Dish Recipe hubBeef Recipes Recipe hubTurkey Recipes Recipe hubHigh-Protein Snack Recipes RecipeAsian Chicken & Edamame Snack RecipeChicken Fajita Pasta RecipeFish Curry with Bell Pepper & Cauliflower RecipeSalad with Grilled Zucchini, Edamame & Roast Beef RecipeYogurt with Berries, Nuts & Honey RecipeBulgur Pilaf with Chicken & Apricots RecipeSpinach & Feta Stuffed Chicken with Quinoa RecipeBowl with Avocado, Black Beans & Lentils RecipeBread with Tuna, Avocado & Tomato RecipeCod Stew with Carrot & Chickpeas RecipeHealthy Caesar Salad with Chickpeas & Croutons RecipeRice with Chickpea, Parsnip & Carrot Curry RecipeWrap with Sweet Potato, Sauerkraut & Chicken Curry RecipeBread with Cream Cheese, Salmon & Radish RecipeVegetable Soup with Spaghetti & Meatballs RecipeSpicy Rice with Cod RecipeSpicy Spaghetti with Meatballs & Black Beans RecipeShakshuka with Eggplant, Avocado & Feta RecipeSandwich with Cream Cheese, Roast Beef & Cucumber RecipeTraybake with Raisins, Eggplant & Ginger RecipeTuna & Pasta Salad RecipeEdamame Salad with Feta & Roast Beef RecipeSalad with Beets & Feta

What it said

Pages said "The evidence says your body uses every gram", "Your Body Uses All of It", "The body processed all of it. No ceiling, no waste.", "Every gram gets used. None of it is wasted.", "Fully used. No ceiling hit.", "Your body uses all 47 grams from this fillet", "Your body processes and uses all 45 grams in this wrap", "Every gram put to use." and "making the 35g in this bowl fully usable", and answered "Yes." to "Does all 48 grams of protein from this sandwich actually get used?" and to "Can my body use all 40 grams of protein from a single snack?"

What it says now

They say what the study found: "very little was burned for energy", "13 of the 100 grams had been built into muscle protein" and "Not every gram ends up in muscle"; or they place the page's own protein "between the 25g and 100g doses that study compared", name it without the line, or no longer say it.

Why, and the source

Trommelen et al. (2023) gave young men 100 grams of milk protein in one drink right after a workout and measured them for 12 hours. The rise in protein burned for energy was negligible; by the end, 13 of the 100 grams had been built into muscle protein and 53 percent had reached the blood, and the release had not plateaued. After 25 grams, 18 percent had been built into muscle protein. FitChef corrected this line on 10 October 2026 on the pages that name the study; these pages repeated it without naming it. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

FitChef's legal audit (the house's wire, 2026-10-18) and the LFG2 sweep (retracted_gate.py and batch 2's full reads, 2026-10-19), each page read in full against Mark's re-paste of the study

A claim page said the scale and DEXA showed nothing after two weeks of short sleep; weight rose more and DEXA fat rose in both rounds

What it said

The claim page said the visceral fat rise "was invisible to the scale, to body fat percentage, and to DEXA", that "Every standard tracking tool missed it", that "DEXA, total body fat percentage, and scale weight all showed no significant between-condition difference", and that "the 0.5 kg weight difference was too small to alarm anyone".

What it says now

It says "The scale did show a difference: half a kilo more gain than on normal sleep.", that "whole-body DEXA readings did not differ between the two rounds", and that "only CT showed the rise around the organs".

Why, and the source

In Covassin et al. (2022), weight rose in both rounds and 0.5 kg more with short sleep (95% CI 0.1 to 0.8; P = 0.008). DEXA showed no difference between the rounds in body fat percentage, fat mass, lean mass or android fat; "participants overall gained similar fat mass during both" conditions. The authors write that weight does not "inform on regional tissue distribution", and that a rise in visceral fat "may not be readily apparent by measures of body weight or body fat percent alone"; they measured it with CT. Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with this claim read in full against Mark's paste of the paper

A claim page told a rise in visceral fat without the free access to food and the extra eating that came with it

What it said

The claim page gave the 11% rise in visceral fat without the participants' free access to food, called the trial's food "controlled food access", said the rise was "independent of the behavioral response", and described the trial as "normal eating plus short sleep".

What it says now

It says "With free access to food, participants ate about 308 more calories per day on short sleep than on normal sleep", and that the authors read the rise as sleep restriction "in conjunction with overeating" altering fat storage.

Why, and the source

Covassin et al. (2022) studied participants "in a sedentary setting with ad libitum food access"; with short sleep they ate 308 kcal a day more than with nine hours in bed. The authors read the visceral rise as showing that "sleep restriction in conjunction with overeating alters lipid storage mechanisms", and they raise themselves the objection that it "simply reflects higher relative energy intake". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with this claim read in full against Mark's paste of the paper

A claim page told an exploratory result from three recovery days as settled, and as a test of weekend catch-up sleep

What it said

The claim page said visceral fat "kept growing through the entire recovery period", headed that section "The Weekend Lie-In", and said "The weekend catch-up fixes the eating without reversing the fat."

What it says now

It says that "In an analysis the authors call exploratory", visceral fat "kept growing through the three recovery days", that "The trial did not test weekends: it gave three recovery nights after fourteen short ones.", and that its authors suggest weekend catch-up sleep may not offset the risk.

Why, and the source

Covassin et al. (2022) followed 14 nights of 4 hours in bed with "a 3-day/3-night recovery" of 9 hours in bed; no weekend schedule was tested. The rise through recovery comes from a post-hoc time-course analysis with no correction for multiplicity, whose findings "are regarded as exploratory". The weekend line is the authors' suggestion: catch-up sleep "may not offset the increased metabolic risk". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with this claim read in full against Mark's paste of the paper

A claim page said short sleep sent fat to the organs before fat under the skin; both rose early, in parallel

What it said

The claim page said "Sleep deprivation reversed that order", that visceral fat built up "before subcutaneous fat was anywhere near capacity", that the fat went "instead of expanding under the skin first", and that the results showed "visceral was the dominant accumulation site".

What it says now

It says "In this trial, fat around the organs rose only on short sleep", that in an exploratory analysis it "rose early in the short-sleep phase, alongside the fat under the skin", and that the authors "read that as early, preferential storage around the organs".

Why, and the source

In Covassin et al. (2022), "expansion of both subcutaneous and visceral depots emerged early and persisted through recovery", and the visceral increases "largely paralleled those in the subcutaneous compartment", in a time-course analysis the authors regard as exploratory. In area, fat under the skin grew more than fat around the organs during short sleep. The authors argue that overeating normally fills fat under the skin first and read the early visceral rise as "early and preferential accumulation of ectopic fat". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with this claim read in full against Mark's paste of the paper

A claim page said hunger and cravings resolved after short sleep; the trial reported food intake, not hunger or cravings

What it said

The claim page said "Hunger resolved. Cravings resolved. Everything you'd notice about your own appetite went back to normal." and "The hunger and cravings resolved."

What it says now

It says "The paper reports no measure of hunger or cravings, but it tracked the food they ate, and their calorie intake normalized within those days."

Why, and the source

Covassin et al. (2022) measured energy intake, energy expenditure, body composition, sleep and blood markers; the paper reports no measure of hunger or cravings. Intake "decreased towards acclimation levels during recovery". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with this claim read in full against Mark's paste of the paper

A claim page said a sleep trial found the pathway that sent fat to the organs; the authors say it is not yet known

What it said

The claim page said "The visceral fat accumulated through altered fat-trafficking pathways, not through the hormone surge TikTok blames." and "The research found altered fat-trafficking pathways, not a hormonal surge, behind the visceral accumulation."

What it says now

It says "What drove the visceral rise is not known", that the authors write its mediators are "yet to be identified", and that "blood cortisol did not differ between short and normal sleep".

Why, and the source

Covassin et al. (2022) write that "the mediators of the selective increases in intraabdominal fat are yet to be identified". They read the rise as showing that sleep restriction "in conjunction with overeating alters lipid storage mechanisms". The five blood markers they measured did not differ between the rounds; the trial measured no fat-storage pathway itself. Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with this claim read in full against Mark's paste of the paper

A claim page said sleep deprivation adds fat; in the trial, whole-body fat gain did not differ from normal sleep

What it said

The claim page said "Sleep deprivation doesn't just add fat" and "sleep restriction doesn't just add fat".

What it says now

It says "short sleep with free access to food did not add more whole-body fat than normal sleep did" and that "It changed where the body put fat".

Why, and the source

In Covassin et al. (2022), DEXA showed that "participants overall gained similar fat mass during both sleep restriction and control sleep conditions, with no incremental effect of sleep loss". Before the trial, the authors write, "whether sleep loss actually induces fat gain is unclear". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with this claim read in full against Mark's paste of the paper

A claim page gave a sentence as a sleep trial's own words that the paper does not contain

What it said

The claim's source quote, published in its data for machine readers, gave "Inadequate sleep appeared to redirect fat deposition to the visceral compartment, and recovery sleep did not appear to reverse this process." as the words of Covassin et al. (2022).

What it says now

It quotes the paper word for word: "These data show, for the first time, that experimentally-induced sleep curtailment affects regional fat accumulation, favoring abdominal adiposity, and specifically centralized partitioning of fat into the visceral depot."

Why, and the source

The sentence is not in Covassin et al. (2022): an earlier run composed it as a summary and stored it as the paper's quote. The new quote is copied from the paper's discussion. Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with this claim read in full against Mark's paste of the paper

A claim page overstated how certain and how unique a 12-person sleep trial's results are

What it said

The claim page called the trial "the most controlled sleep-and-body-composition experiment ever published" and "the first and only RCT", called its evidence "directionally unambiguous", said "no competing evidence contradicts it", and called the cortisol explanation "mechanistically wrong".

What it says now

It calls the trial "the first trial to measure where fat goes during sleep restriction", says "The difference from normal sleep was significant but less certain", and that "The trial gives no support to the viral 'cortisol belly' explanation".

Why, and the source

Covassin et al. (2022) call their trial a "first-ever study assessing the effects of sleep curtailment on body fat distribution"; the paper does not call it the only such trial or the most controlled one. In 12 people, the difference in visceral fat between the rounds was 7.8 cm2 (95% CI 0.3 to 15.3; P = 0.042). Cortisol, one blood marker, did not differ, in an analysis the authors call exploratory, while they note that others have implicated the stress-hormone axis in visceral fat. Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with this claim read in full against Mark's paste of the paper

A claim page gave an 11% rise in visceral fat as the difference from normal sleep; it was the rise within the short-sleep round

What it said

The claim page's statistics gave "Approximately +11% visceral fat area during sleep restriction vs control".

What it says now

They give "Approximately +11% visceral fat area during sleep restriction (P = 0.005), with no change during control sleep" and the difference between the rounds.

Why, and the source

In Covassin et al. (2022), visceral fat area rose about 11% during sleep restriction (P = 0.005) and did not change during control sleep; the difference between the rounds was 7.8 cm2 (95% CI 0.3 to 15.3; P = 0.042). Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with this claim read in full against Mark's paste of the paper

A study page gave a sleep and visceral fat trial the wrong PubMed ID

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page gave the trial's PubMed ID as "35216682".

What it says now

It gives "35361348".

Why, and the source

The PubMed Central page of Covassin et al. (2022) prints "PMID: 35361348". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page said fat went to the organs first, before fat under the skin; both rose early, in parallel

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said "visceral fat grew 11% and it started first", that it "appeared early and preferentially, before the subcutaneous system was anywhere near capacity", that short sleep "routed fat to the organs first", "before subcutaneous storage was full", and that the surplus "went straight to the organs".

What it says now

It says "fat around the organs rose early in the short-sleep phase, alongside fat under the skin", gives the authors' own sentence on "early and preferential accumulation", and says "The authors read that as early, preferential storage of fat around the organs."

Why, and the source

In Covassin et al. (2022), "expansion of both subcutaneous and visceral depots emerged early and persisted through recovery", and the visceral increases "largely paralleled those in the subcutaneous compartment", in a time-course analysis the authors regard as exploratory. Fat under the skin also rose more with short sleep (7.4 cm2, P = 0.047). The authors argue that overeating normally fills fat under the skin first and read the early visceral rise as "early and preferential accumulation of ectopic fat". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page told a rise in visceral fat as an effect of short sleep alone; the participants could eat freely and ate more

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said "Same calories. Same bodies. Same surplus. Different delivery address.", that short sleep "drives fat toward the organs first", and that "the CT scans showed exactly where the surplus landed"; its key finding and search description gave the 11% without the free access to food.

What it says now

It says the participants were "eating as much as they wanted", gives "about 308 more calories a day on short sleep", quotes the authors' "sleep restriction in conjunction with overeating", and its key finding begins "With free access to food".

Why, and the source

Covassin et al. (2022) studied participants "in a sedentary setting with ad libitum food access"; with short sleep they ate 308 kcal a day more than with nine hours in bed. The authors read the visceral rise as showing that "sleep restriction in conjunction with overeating alters lipid storage mechanisms", and they raise themselves the objection that it "simply reflects higher relative energy intake". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page said the scale and DEXA showed nothing after two weeks of short sleep; weight rose more and DEXA fat rose in both rounds

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said "The scale saw nothing.", that "every standard body composition tool — scale, body fat percentage, DEXA scan — came back normal", "Standard tools saw nothing.", "The scale said nothing. The DEXA said nothing.", that the visceral fat rise "didn't show up on the scale", and in its audio "Scale? Normal."; its title ended "Invisibly".

What it says now

It says "The scale showed half a kilo more gain than on normal sleep.", that "whole-body DEXA showed no difference", that "Whole-body scans found no difference from normal sleep", and that "Weight and body-fat percentage alone may not show it."; its title is "Sleep Loss Grew Fat Around Their Organs 11% in Two Weeks".

Why, and the source

In Covassin et al. (2022), weight rose in both rounds and 0.5 kg more with short sleep (95% CI 0.1 to 0.8; P = 0.008). DEXA showed no difference between the rounds in body fat percentage, fat mass, lean mass or android fat; "participants overall gained similar fat mass during both" conditions. The authors write that a rise in visceral fat "may not be readily apparent by measures of body weight or body fat percent alone"; they measured it with CT. Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page told an exploratory result from three recovery days as settled, and as a failed test of weekend catch-up sleep

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said visceral fat "kept growing through the entire recovery period", that "The behavioral symptom fixed itself. The metabolic consequence acted as if nothing had changed.", described weekend catch-up sleep as "Five hours Monday through Friday. Sleep in on Saturday.", and in its audio "Weekend catch-up fixes the hunger. It does not appear to fix the fat."

What it says now

It says that "In an analysis the authors call exploratory", visceral fat "kept increasing through the three recovery days", that "The trial did not test weekends: it gave three recovery nights after fourteen short ones.", and that the researchers "suggest weekend catch-up sleep may not offset the risk".

Why, and the source

Covassin et al. (2022) followed 14 nights of 4 hours in bed with "a 3-day/3-night recovery" of 9 hours in bed; no weekend schedule was tested. The rise through recovery comes from a post-hoc time-course analysis with no correction for multiplicity, whose findings "are regarded as exploratory". The weekend line is the authors' suggestion: catch-up sleep "may not offset the increased metabolic risk". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page called a sleep trial's participants lean; the paper describes them as nonobese, mostly of normal weight

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said "The participants were young and lean." and that "people with higher body fat" were excluded.

What it says now

It says "The participants were young and not obese." and that "people with obesity" were excluded.

Why, and the source

Covassin et al. (2022) enrolled "Twelve healthy, nonobese individuals" aged 19 to 39 with an average BMI of 24.6, excluded anyone with a "body mass index (BMI) >30 kg/m2", and list among their limitations "a modest sample comprising mostly of normal weight young men". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page said a 12-person trial identified the mechanism of a rise in visceral fat; the authors say it is not yet known

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said "Twelve people in a controlled lab identified the mechanism." and "The controlled lab found the mechanism".

What it says now

It says "Twelve people in a controlled lab showed the effect, though not what drives it." and "The controlled lab showed the effect, though not its mechanism".

Why, and the source

Covassin et al. (2022) write that "the mediators of the selective increases in intraabdominal fat are yet to be identified", and that the mechanisms behind the extra eating "remain unclear". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page said hunger and cravings returned to normal after short sleep; the trial measured food intake, not hunger or cravings

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said in its audio "The eating stopped almost immediately. Hunger went back to normal. Cravings faded.", and said that weekend sleep addresses "the hunger, the cravings, the energy crash".

What it says now

It says that "Calorie intake fell back toward its starting level during those recovery days" and that "the paper reports no measure of hunger, cravings or tiredness".

Why, and the source

Covassin et al. (2022) measured energy intake, energy expenditure, body composition, sleep and blood markers; the paper reports no measure of hunger, cravings or tiredness. Intake "decreased towards acclimation levels during recovery". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page said it is established that sleep loss adds fat; the trial's authors call it unclear

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said "The finding isn't that sleep loss adds more fat — that's been established."

What it says now

It says "In this trial, whole-body fat gain did not differ between short and normal sleep, but visceral fat rose only on short sleep".

Why, and the source

Covassin et al. (2022) write that "whether sleep loss actually induces fat gain is unclear". In their trial, DEXA showed participants "gained similar fat mass during both sleep restriction and control sleep conditions". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page said earlier research consistently found changes in appetite hormones; the earlier studies disagree

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said "Earlier research on sleep restriction had reported consistent changes in appetite hormones.", that the result "contradicts several prior studies", that "The researchers expected the usual hormonal explanations", and that they "concluded something deeper — likely in the brain's central reward circuitry — was pulling the strings".

What it says now

It says "Earlier research on sleep restriction is split.", that "this trial sides with the ones that found no change", and that the authors suggest this "may implicate central hormonal or neuronal determinants".

Why, and the source

Covassin et al. (2022) write that some earlier studies found ghrelin and endocannabinoids up and leptin down, but "other studies did not corroborate these findings (12,16). Consistent with the latter, we did not observe appreciable changes in any of these markers which may implicate central hormonal or neuronal determinants." The change they say they expected was a compensating one. Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page overstated how certain a 12-person sleep trial's results are

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said "the difference between conditions was absolute", that "The visceral fat finding cleared a strong statistical threshold", that "The study proved the accumulation happens", that the direction "almost certainly holds at moderate restriction", that it was the "First and only RCT", and that "Even by the end of two weeks, the surplus was still there".

What it says now

It gives "the difference from normal sleep was significant but less certain (7.8 cm², 95% CI 0.3 to 15.3; P = 0.042)", says "The study showed the accumulation in one controlled trial of 12 people", that "Whether the finding holds at moderate restriction was not tested", and that the authors read the decline in overeating "as partial adaptation".

Why, and the source

In Covassin et al. (2022) the difference in visceral fat between the two rounds was 7.8 cm2 (95% CI 0.3 to 15.3; P = 0.042) in 12 people; the trial tested 4 hours in bed, and the authors write that their two-week results "may not necessarily apply to states of chronic sleep deficiency". They call it a "first-ever study", and read the decline in overeating as partial adaptation that "appears insufficient to entirely dissipate such effects". Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A study page said no conflicts of interest were declared; the paper lists one author's consultancies

StudySleep Loss Grew Fat Around Their Organs 11% in Two Weeks

What it said

The study page said "No conflicts of interest were declared.", that the researchers had "no product ties" and "no commercial interest in the finding going either direction", and summed it up as "Public funding with no commercial conflicts" and "NIH-funded, no conflicts".

What it says now

It gives the disclosure as printed: "Virend K Somers (V.K.S.) serves as a consultant for Baker Tilly, Jazz Pharmaceuticals, Bayer, Sleep Number and Respicardia." and "The other authors have no disclosures.", and says "the paper says nothing about whether those roles bear on this trial".

Why, and the source

The disclosures of Covassin et al. (2022) read: "V.K.S. serves as a consultant for Baker Tilly, Jazz Pharmaceuticals, Bayer, Sleep Number and Respicardia. The other authors have no disclosures." The trial was funded by the NIH, and "The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report." The paper does not discuss the consultancies further. Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q655 sweep of Covassin et al. 2022 (backlog/Q655_COVASSIN_2022_SWEEP.md), with the trial's own study page read in full against Mark's paste of the paper

A sleep study page said a testosterone decline was compared to a decade of aging; the letter compared it with aging's 1-2% a year

StudyOne Night, 18% Less Muscle Built — Even With Protein

What it said

The study page said "the testosterone decline was compared to a decade of aging" and that the researchers "compared to years of aging".

What it says now

It says "the researchers set the testosterone decline against normal aging's 1 to 2% a year".

Why, and the source

Leproult and Van Cauter (2011) report daytime testosterone "decreased by 10% to 15%" after a week of 5-hour bedtimes and write: "By comparison, normal aging is associated with a decrease of testosterone levels by 1% to 2% per year." They give no number of years. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md) and the Q606 sweep of Leproult & Van Cauter 2011 (finding OB1), each line read against Mark's paste

A sleep study page said the workout after a bad night arrives 7.5% weaker; 7.5% is an average across exercise types

StudyOne Night, 18% Less Muscle Built — Even With Protein

What it said

The study page said "the workout that follows a bad night arrives 7.5% weaker".

What it says now

It says the workout "arrives 7.5% worse on average across exercise tests".

Why, and the source

In Craven et al. (2022), 7.56% is the weighted mean across seven exercise categories; strength itself fell 2.85%, and the categories ranged up to 20.9% for skill. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md) and the Q606 sweep of Leproult & Van Cauter 2011 (finding OB1), each line read against Mark's paste

A sleep guide said a review of 18 studies found no testosterone effect of partial sleep loss; six of them tested it, and the review found total sleep loss lowered testosterone

GuideSleep and Muscle Growth: The Complete Evidence-Based Guide

What it said

The guide said "A review pooling 18 studies and 252 men found that partial sleep loss, the kind most people actually experience, showed no clear pattern", "A meta-analysis pooling 18 studies and 252 men found no consistent effect from partial sleep deprivation" and "Meta-analysis of 18 studies (252 men): partial deprivation not significant", and its citation summary gave "a meta-analysis of 18 studies showing no consistent partial-deprivation effect". None of these gave the review's result for total sleep loss.

What it says now

It says the review "found no significant fall in its six studies of partial sleep loss" and that "24 hours or more without sleep did lower testosterone"; its other mentions of the review say the same.

Why, and the source

Su et al. (2021) included 18 studies of 252 men in all. "Six studies involving 98 men" compared partial sleep deprivation with control; the pooled effect was not significant (P = 0.13), with no disagreement between the six (I2 = 0%). Thirteen studies of 162 men tested total sleep deprivation, which "reduced the male testosterone levels". Source: Su L, Zhang S-z, Zhu J, Wu J, Jiao Y-z. Effect of partial and total sleep deprivation on serum testosterone in healthy males: a systematic review and meta-analysis. Sleep Med. 2021;88:267-273.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the guide's Craven lines read against Mark's paste of the paper, and the Q606 sweep of Leproult & Van Cauter 2011 (finding LR1, and the lead on Su et al. 2021); checked by a second chat against the papers (Q649)

A sleep guide listed a performance review and a testosterone review under titles they do not have

GuideSleep and Muscle Growth: The Complete Evidence-Based Guide

What it said

The guide's study list gave "Effects of acute sleep loss on physical performance: a systematic and meta-analytic review" for Craven et al. (2022) and "Association between sleep duration or quality and testosterone level in men: a systematic review and meta-analysis" for Su et al. (2021).

What it says now

It gives "Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review" and "Effect of partial and total sleep deprivation on serum testosterone in healthy males: a systematic review and meta-analysis".

Why, and the source

Those are the titles printed on the two papers (Sports Medicine 2022; Sleep Medicine 2021). The old Su title is another paper's. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the guide's Craven lines read against Mark's paste of the paper, and the Q606 sweep of Leproult & Van Cauter 2011 (finding LR1, and the lead on Su et al. 2021); checked by a second chat against the papers (Q649)

A sleep guide credited a testosterone study with "5 to 15 years of aging"

GuideSleep and Muscle Growth: The Complete Evidence-Based Guide

What it said

The guide said "a 10 to 15% testosterone drop, equal to 5 to 15 years of aging" from a study of men "sleeping five hours for one week", and its audio said the same.

What it says now

It says "a 10 to 15% drop in daytime testosterone", which the researchers "set against normal aging's 1 to 2% a year (at that rate, 5 to 15 years)", in men "on five-hour bedtimes for one week".

Why, and the source

Leproult and Van Cauter (2011) report daytime testosterone "decreased by 10% to 15%" after a week of 5-hour bedtimes and add that "normal aging is associated with a decrease of testosterone levels by 1% to 2% per year"; the years are FitChef's arithmetic. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the guide's Craven lines read against Mark's paste of the paper, and the Q606 sweep of Leproult & Van Cauter 2011 (finding LR1, and the lead on Su et al. 2021); checked by a second chat against the papers (Q649)

A sleep guide ranked skipping the gym as the worst response to a bad night; no source ranks responses

GuideSleep and Muscle Growth: The Complete Evidence-Based Guide

What it said

The guide said, in its key points, body and audio, "The worst response to a bad night is skipping the gym. The second worst is the 5am alarm.", that "morning training minimizes skill loss", and, on a claim card, "Exercise is a partial rescue at every level."

What it says now

It says "When a night has to be short, a later bedtime costs less than the 5am alarm", that "morning sessions held up better, skill tasks included", and that "the review's own advice is a later bedtime rather than an early alarm". The claim card no longer says exercise rescues every level.

Why, and the source

Craven et al. (2022) measured what sleep loss costs exercise performance; it did not compare training with skipping a session, and it tested no exercise as a remedy. Its authors advise that "if acute sleep loss is anticipated and unavoidable, individuals should, where possible, endeavour to mimic early-restriction sleep patterns rather than deprivation or late restriction, and prioritise exercise to the morning". Skill fell 14.2% in morning tests and 22.9% later in the day. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the guide's Craven lines read against Mark's paste of the paper, and the Q606 sweep of Leproult & Van Cauter 2011 (finding LR1, and the lead on Su et al. 2021); checked by a second chat against the papers (Q649)

A sleep guide said an early alarm is the night the data punishes hardest and gave an untested reason for the skill result

GuideSleep and Muscle Growth: The Complete Evidence-Based Guide

What it said

The guide said the discipline alarm "is the specific version the data punishes hardest", that a late bedtime had "No meaningful effect", that "Early-wake restriction, setting the alarm earlier to squeeze in a session, produced a 7.4% performance drop", that "The damage scales predictably with time awake", that "Coordination, reaction time, and anything requiring neural precision collapsed", that "The reason is structural: strength is muscle, and muscle is resilient overnight. Skill is brain precision, and that is exactly what sleep loss degrades first.", and that "Strength dropped 3%" without saying the test was a single all-out effort. Its answer on workouts said "The early-morning alarm makes it worse" after giving the 7.5% average.

What it says now

It says the alarm "is one of the two kinds of short night the data punishes most; the other is no sleep at all", that "morning tests fell only 2.5% against 9.7% in the afternoon and evening", that a late bedtime showed "No clear loss overall, though skill tasks still fell", that "After a night without sleep or an early alarm, the damage grows with time awake", that "Sport skills such as shooting, serving and passing fell furthest", that "The authors point to the higher thinking load of skill tasks; they did not test the mechanism.", and that "Maximal strength dropped 3%". The answer now opens "How you lose the sleep matters".

Why, and the source

Craven et al. (2022) found deprivation and late restriction "more consistent and similar in magnitude"; early restriction showed no change "except for skill and endurance tasks" (skill -23.9%); the ~0.4% per hour held for deprivation and late restriction, not for early restriction or all protocols combined. After an early wake, morning tests fell 2.48% and afternoon and evening tests 9.67%, and the authors advise training "soon after waking"; the 7.39% for late restriction is not more than the 7.56% average. Its seven categories do not include reaction time; its strength category is "Maximum force development during a single effort", while sets of repeated reps fell 9.85%; skill's fall "may be attributed to the higher cognitive demand", and "it was not the intention of the present study to explore these mechanisms". Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the guide's Craven lines read against Mark's paste of the paper, and the Q606 sweep of Leproult & Van Cauter 2011 (finding LR1, and the lead on Su et al. 2021); checked by a second chat against the papers (Q649)

A sleep Short told two studies from one lab as independent replications, and reversed one study's deep-sleep numbers

ShortYour Body Already Chose Between Sleep Quality and Hours

What it said

The Short said deep sleep held at "43 minutes versus 46" when sleep was cut, that "A completely separate lab ran the same experiment", "Two independent studies, two identical answers", and called the young men of the testosterone study "The same participants" as the dieters; its chart drew Nedeltcheva 2010's deep sleep falling from 46 to 43 minutes.

What it says now

It says deep sleep was "46 minutes with less sleep against 43 with more", that "A second study from the same lab found the same pattern", and its chart shows 43 rising to 46 minutes with less time in bed.

Why, and the source

In Nedeltcheva et al. (2010), slow wave sleep was 43 minutes with 8.5 hours in bed and 46 minutes with 5.5 hours (P=0.66); the participants were dieting adults. Leproult and Van Cauter (2011) studied ten young men on 5-hour bedtimes. Both studies were run at the University of Chicago Sleep Research Laboratory, with different participants and protocols. Source: Nedeltcheva AV, Kilkus JM, Imperial J, Schoeller DA, Penev PD. Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010;153(7):435-441.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

Two Shorts told a sleep and diet trial as a same-deficit test, and misreported its participants and metabolism

ShortAfter a Sleepless Night, the Same Meals Built Less Muscle Protein ShortYour Body Already Chose Between Sleep Quality and Hours

What it said

One Short said the dieters lost weight on the "Same deficit", described them as "(BMI 25.5 ± 1.5)", and said "Resting metabolic rate, respiratory quotient, and total energy expenditure did not differ." The other said "Their bodies burned lean tissue instead."

What it says now

They say the participants ate "the same reduced-calorie diet", that the rest of the weight lost was fat-free mass, "which the authors note is mostly water", "(BMI 27.4 ± 2.0)", and "Resting metabolic rate was lower and respiratory quotient higher with 5.5 h".

Why, and the source

Nedeltcheva et al. (2010) gave ten overweight adults "the same individualized diet" twice. With 5.5 hours in bed they lost less fat and 60% more fat-free mass (body weight minus fat), and the authors note that "lean tissue is mostly water". Calorie intake was nearly the same; the authors' estimate from the body-composition changes puts the energy deficits at about 520 and 920 kcal a day, while doubly labeled water detected no change in total energy expenditure, so the deficits were not shown to be the same. Mean BMI was 27.4 (2.0). Resting metabolic rate was lower (P=0.01) and respiratory quotient higher with less sleep. Source: Nedeltcheva AV, Kilkus JM, Imperial J, Schoeller DA, Penev PD. Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010;153(7):435-441.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A recovery Short told the fat-free mass lost on a sleep-restricted diet as muscle, and the same diet as the same deficit

ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

The Short said "same calories, same deficit" shifted "the body from burning mostly fat to burning mostly muscle", that "sleep was the only variable that differed", and its audio said "two groups" and "The short-sleep group lost mostly muscle".

What it says now

It says the weight lost "shifted from mostly fat to mostly fat-free mass", that "the diet was the same both times", and that "the authors note that lean tissue is mostly water".

Why, and the source

Nedeltcheva et al. (2010) put ten overweight adults on the same diet twice, for 14 days each, with 8.5 or 5.5 hours in bed, in random order. The fraction of weight lost as fat was 56% against 25% (P = 0.004). Fat-free mass was weight minus DXA fat; the authors note lean tissue is mostly water, and estimate the deficits at about 520 and 920 kcal a day. Source: Nedeltcheva AV, Kilkus JM, Imperial J, Schoeller DA, Penev PD. Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010;153(7):435-441.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the page's other pasted sources

A sleep Short described a ten-person crossover as two groups on an identical deficit, and fat-free mass lost as muscle

ShortHow Much Sleep for Gains? Three Floors, Not One Number.

What it said

The Short said "two groups ate identical meals at identical calories" in an experiment "where sleep was the only variable", that "The group sleeping five and a half hours lost mostly muscle", that "the body burns muscle instead of fat on the same caloric deficit", and that body composition "shifts from fat loss to muscle loss".

What it says now

It says "ten sedentary, overweight adults spent two 14-day periods on the same reduced-calorie diet", that with the shorter nights "most of it was fat-free mass, which the authors note is mostly water", and that "more of the weight lost was fat-free mass and less was fat".

Why, and the source

Nedeltcheva et al. (2010) studied 10 sedentary, overweight adults aged 35 to 49 in a "Randomized two-period two-condition crossover study", each on the same diet with 8.5 or 5.5 hours in bed. The fraction of weight lost as fat was 56% against 25%; the rest was fat-free body mass, which the authors note "is mostly water". The estimated energy deficits differed (~920 against ~520 kcal/day). Source: Nedeltcheva AV, Kilkus JM, Imperial J, Schoeller DA, Penev PD. Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010;153(7):435-441.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A sleep Short told a rise in visceral fat as an effect of short sleep alone; the trial let people eat freely, and they ate more

ShortYour Body Already Chose Between Sleep Quality and Hours

What it said

It said "in a third study visceral fat rose" and "Visceral fat climbed 11 percent during the short-sleep weeks", without saying that the participants could eat as much as they wanted.

What it says now

It says the trial kept people "on four hours in bed a night for two weeks, with free access to food", that "They ate more", and that visceral fat rose "against no change on nine-hour nights".

Why, and the source

In Covassin et al. (2022) food was available "ad libitum" and the participants ate about 308 kcal a day more with restricted sleep than with nine hours in bed. The authors conclude that "sleep restriction in combination with overeating predisposes to obesity and especially central obesity", and write that the rise in visceral fat might be smaller if participants had access only to food of high nutritional quality. Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q637 follow-up of the Q606 Leproult 2011 sweep: the Short's Covassin 2022 lines read against Mark's re-paste of the paper

A sleep Short told three recovery days after two weeks of short nights as a failed test of weekend catch-up sleep

ShortYour Body Already Chose Between Sleep Quality and Hours

What it said

It said that "catching up on weekends — failed the one test that matters", that visceral fat "kept growing even after three days of full recovery sleep", that "The weekend did not undo what the weeknights built.", and in its audio "When they tried catching up with weekend sleep, the fat kept growing anyway."; its FAQ added "Weekend catch-up may help alertness, but it does not undo the body composition damage that builds during the week."

What it says now

It says that in an analysis the authors call exploratory, visceral fat "kept rising through the three days of recovery sleep that followed", that the authors "suggest that weekend catch-up sleep may not offset the risk", and that "what they tested was three recovery days after two weeks of short nights, not weekends."

Why, and the source

Covassin et al. (2022) kept 12 adults on 4 hours in bed a night for 14 days, followed by "a 3-day/3-night recovery" with 9 hours in bed; no weekend schedule was tested. The rise through recovery comes from a time-course analysis whose findings the authors regard "as exploratory". They write that weekend "catch-up sleep" "may not offset the increased metabolic risk", while energy intake fell back and the difference in weight gain between the two conditions faded during recovery; the paper reports no measure of alertness. Source: Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022;79(13):1254-1265.

Found by

the Q637 follow-up of the Q606 Leproult 2011 sweep: the Short's Covassin 2022 lines read against Mark's re-paste of the paper

A training-time Short misstated details of its review's participants and methods

ShortMorning or Evening Workouts: What 22 Trials Actually Found

What it said

The Short gave the meta-analysis participants "mean age 25, range 19–33", said "evening chronotypes ≤1% of all participants", and said "9% performed sample size calculations".

What it says now

It says "study mean ages 19–33", that "chronotype was reported for 56% of all participants, of whom 7% were evening chronotype and none moderately evening", adding that the authors' limitations section gives 1% as definitely evening, and that "9% performed an appropriate sample size calculation".

Why, and the source

In Bruggisser et al. (2023), 19 to 33 years is the range of the studies' mean ages, not of the participants' ages. Chronotype was reported for 56% of all participants; the results section gives 7% of them as evening chronotype and none as moderately evening, while the limitations section gives 1% of all participants as definitely evening. And 9% of the studies conducted an appropriate sample size calculation. Source: Bruggisser F, Knaier R, Roth R, Wang W, Qian J, Scheer FAJL. Best Time of Day for Strength and Endurance Training to Improve Health and Performance? A Systematic Review with Meta-analysis. Sports Med Open. 2023;9:34.

Found by

the Q661 grounding check of the Short (backlog/Q661_BRUGGISSER_2023.md), with the page read in full against Mark's paste of Bruggisser et al. 2023

A training-time Short cited its main review under a title the review does not have

ShortMorning or Evening Workouts: What 22 Trials Actually Found

What it said

The Short cited "The Influence of the Time of Day of Exercise Training on Performance-Related and Health-Related Outcomes" and "Time of Day of Exercise Training: Systematic Review and Meta-Analysis".

What it says now

It cites "Best Time of Day for Strength and Endurance Training to Improve Health and Performance? A Systematic Review with Meta-analysis".

Why, and the source

That is the review's title as printed (Sports Medicine - Open, 2023). Source: Bruggisser F, Knaier R, Roth R, Wang W, Qian J, Scheer FAJL. Best Time of Day for Strength and Endurance Training to Improve Health and Performance? A Systematic Review with Meta-analysis. Sports Med Open. 2023;9:34.

Found by

the Q661 grounding check of the Short (backlog/Q661_BRUGGISSER_2023.md), with the page read in full against Mark's paste of Bruggisser et al. 2023

A training-time Short called the benefit of training at the time you are tested a reliable, consistent finding; its review calls it some evidence

ShortMorning or Evening Workouts: What 22 Trials Actually Found

What it said

The Short called it "The only reliable timing signal", said "Your body adapts to your schedule", that "your morning performance edges ahead of your evening performance", "Train at night, and the reverse happens", that "Your body doesn't have a biological best hour", and rated the finding "moderate — consistent signal across studies that tested congruency".

What it says now

It says "The review calls this some evidence, not proof", that "pooled across studies, it was significant only for jump height, in studies of young men", that you "tend to improve more on morning tests than people who train in the evening", "Train in the evening, and the reverse", and rates the finding low.

Why, and the source

Bruggisser et al. (2023) found "some evidence" of larger improvements when training and testing happen at the same time of day: morning training improved morning performance more than evening training did, and the reverse. In their pooled analyses it was significant only for jump height: tested in the morning in the main meta-analysis, an effect driven primarily by a single study, and congruent against incongruent testing in an exploratory analysis that was not pre-specified. The pooled studies were of young men, and three of the four jump studies came from one research group. The evening sessions of the trials ran between 14:30 and 19:00. The review also reports that performance outcomes tend to peak in the late afternoon or evening. Source: Bruggisser F, Knaier R, Roth R, Wang W, Qian J, Scheer FAJL. Best Time of Day for Strength and Endurance Training to Improve Health and Performance? A Systematic Review with Meta-analysis. Sports Med Open. 2023;9:34.

Found by

the Q661 grounding check of the Short (backlog/Q661_BRUGGISSER_2023.md), with the page read in full against Mark's paste of Bruggisser et al. 2023

A training-time Short said its review found no significant result for any performance outcome, in every population tested; four of ten performance studies and one pooled result did, and the pooled studies were of young men

ShortMorning or Evening Workouts: What 22 Trials Actually Found

What it said

The Short said the review found "No significant differences for any anthropometric or performance outcome between AM and PM training", called it "The most comprehensive review of training-time research", said it found no difference "across every study design and population tested", said the hypertrophy comparison "in the published literature" comes down to two measurements, and said the hour on the clock, "across every controlled comparison, never did" move the needle.

What it says now

It says four of ten performance studies "found significant differences, favoring matched training and testing times rather than one hour", that "Jump height tested in the morning improved more with morning training", that the hour on the clock "has not moved it consistently in the trials that compared it", and that the authors say the results "should not be generalized to women, and cannot be generalized to older or patient populations".

Why, and the source

Bruggisser et al. (2023) report significant morning-versus-evening differences in four of ten studies of performance outcomes and in two of seven studies of health outcomes, and in their main meta-analysis jump height tested in the morning improved significantly more with morning training (an effect driven primarily by a single study). The review calls itself the first to examine training time against performance- and health-related outcomes; it included only randomized trials and names an earlier meta-analysis on muscle hypertrophy that also included non-randomized ones. The participants of its meta-analysis were 98% male, with a weighted mean age of 25, and the authors write that the results "should not be generalized to the female population" and cannot be generalized to older or patient populations. Source: Bruggisser F, Knaier R, Roth R, Wang W, Qian J, Scheer FAJL. Best Time of Day for Strength and Endurance Training to Improve Health and Performance? A Systematic Review with Meta-analysis. Sports Med Open. 2023;9:34.

Found by

the Q661 grounding check of the Short (backlog/Q661_BRUGGISSER_2023.md), with the page read in full against Mark's paste of Bruggisser et al. 2023

A training-time Short said morning and evening training build identical muscle; its review found evidence neither for nor against either time

ShortMorning or Evening Workouts: What 22 Trials Actually Found

What it said

The Short said "morning and evening produce identical muscle growth", that twenty-two controlled trials "measured. Nothing.", that "Morning and evening training produce the same muscle growth, the same strength gains", that "The gap is so small no measurement tool can find it", that the two muscle-size measurements "neither found anything", that "The gaps between morning and evening outcomes were smaller than what any practical assessment could detect", and that "Time of day does not significantly affect muscle growth or strength gains". Its chart gave training time 0% and said "Training time has zero effect on performance".

What it says now

It says "neither hour has been shown to build more muscle", that the review found "little evidence for or against either hour", that in the two muscle-size results in the review's table of main outcomes "the evening groups grew more, but in neither trial was the gap significant", and its chart says "NO PROVEN EDGE".

Why, and the source

Bruggisser et al. (2023) conclude that the research "provides evidence neither for nor against a specific time of the day being more beneficial". In the two muscle-size results in their table of main outcomes, muscle grew on both schedules and the evening groups gained more (74 against 57 cubic centimetres; 985 against 664 square millimetres), with neither difference significant. Only 23% of the studies used gold-standard measurement methods, and the authors write that "the time of day is not irrelevant and warrants further investigation". Source: Bruggisser F, Knaier R, Roth R, Wang W, Qian J, Scheer FAJL. Best Time of Day for Strength and Endurance Training to Improve Health and Performance? A Systematic Review with Meta-analysis. Sports Med Open. 2023;9:34.

Found by

the Q661 grounding check of the Short (backlog/Q661_BRUGGISSER_2023.md), with the page read in full against Mark's paste of Bruggisser et al. 2023

A gym Short's audio stretched a strength-endurance result to whole sets and a full hour of training

ShortThree Gauges Your Body Read Before the Warm-Up Set

What it said

Its audio said sleep loss hits "the part that determines whether your fifth set feels like your first" and "the system responsible for sustaining effort across the full hour".

What it says now

It says "the part that determines whether your last rep matches your first" and "the system responsible for sustaining effort across reps".

Why, and the source

Craven et al. (2022) defined strength-endurance as a "Resistance task ≥ 2 repetitions or > 5 s sustained contraction"; its result (-9.85%, five studies) came from such tasks, not from sets across a session or an hour of training. The record 2026-10-17-gym-short-sleep-meta-analysis-time-awake-told-as-hours-lost corrected the page's text; this one corrects its audio. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q637 follow-up of the Q606 Leproult 2011 sweep: the Short read against Mark's first full paste of Hamidvand et al. 2025 and his re-pastes of Leproult 2011 and Craven 2022

A gym Short said testosterone changes more slowly than sleep and fuel; the study it cites measured it only after a week

ShortThree Gauges Your Body Read Before the Warm-Up Set

What it said

It said "The third dial moves slower than the first two."

What it says now

It says "The third dial was measured only after a week."

Why, and the source

Leproult and Van Cauter (2011) sampled blood "after the second 10-hour night and after the seventh 5-hour night", so the study shows daytime testosterone after a week of short sleep and says nothing about how quickly it changes. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q637 follow-up of the Q606 Leproult 2011 sweep: the Short read against Mark's first full paste of Hamidvand et al. 2025 and his re-pastes of Leproult 2011 and Craven 2022

A gym Short said glycogen studies agree on one number and rated the evidence high; the studies varied widely

ShortThree Gauges Your Body Read Before the Warm-Up Set

What it said

It said "Direct muscle measurements across multiple studies converge on the same number", that "each additional set costs a predictable slice of the reserve", and rated the evidence "high — consistent finding with clear dose-response relationship".

What it says now

It says one session lowered thigh-muscle glycogen "by roughly 21% on average, though the studies varied widely", that "sessions with more sets drained more", and rates the evidence moderate.

Why, and the source

In Hamidvand et al. (2025) the pooled change was -104.3 mmol/kg dry mass, with a prediction interval of -244.4 to 35.7 and high heterogeneity (I² = 85.7%); the Egger test "identified a possible risk of publication bias"; every study biopsied one thigh muscle, the vastus lateralis. The per-set estimate (-11.2, 95% CI -18.0 to -4.3) is an average relationship across studies. Source: Hamidvand A, Delleli S, Rothschild JA, Chenaghchi F, Jafari A, Naderi A. Acute effects of resistance exercise on skeletal muscle glycogen depletion: A systematic review and meta-analysis. Physiol Rep. 2025;13(24):e70683.

Found by

the Q637 follow-up of the Q606 Leproult 2011 sweep: the Short read against Mark's first full paste of Hamidvand et al. 2025 and his re-pastes of Leproult 2011 and Craven 2022

A gym Short said glycogen used up in one session is still missing at the next; the review it cites did not measure that

ShortThree Gauges Your Body Read Before the Warm-Up Set

What it said

It said the fuel "refills from the carbs you eat after the session, but the tank does not reset instantly", and that "part of yesterday's energy bill is still outstanding when today's warm-up starts."

What it says now

It says "The review used each study's biopsy closest to the end of the session, before any food, so it cannot say how much of that fuel is still missing when the next warm-up starts."

Why, and the source

Hamidvand et al. (2025) took from each study "the measurement taken closest to the end of exercise" and excluded studies in which feeding occurred between the session and the first biopsy after it. The review used nothing later, so it says nothing about how glycogen refills or how much is missing when the next session starts. Source: Hamidvand A, Delleli S, Rothschild JA, Chenaghchi F, Jafari A, Naderi A. Acute effects of resistance exercise on skeletal muscle glycogen depletion: A systematic review and meta-analysis. Physiol Rep. 2025;13(24):e70683.

Found by

the Q637 follow-up of the Q606 Leproult 2011 sweep: the Short read against Mark's first full paste of Hamidvand et al. 2025 and his re-pastes of Leproult 2011 and Craven 2022

A gym Short blamed weak workouts partly on muscle glycogen used up in training, which its source judges too small to impair performance

ShortThree Gauges Your Body Read Before the Warm-Up Set

What it said

The Short said "A weak day is not one thing gone wrong. It is three gauges reading low at the same time.", with muscle glycogen as one of the three. It said one session's 21% drop probably did not matter "on its own", then counted it anyway "because the fuel gauge was not the only system running low."

What it says now

It says "the studies here tie only one to a weaker session", sleep loss, and that "The review's authors judge that a typical session does not lower glycogen enough to impair performance", though "the average may hide a deeper fall in the glycogen that appears to matter most for muscle function".

Why, and the source

Hamidvand et al. (2025) pooled 20 small studies that measured thigh-muscle glycogen before one resistance training session and closest to its end: it fell by about 21% on average. The authors write: "Thus, glycogen depletion from typical resistance training workouts is relatively modest and does not deplete enough glycogen to compromise performance." They add that the average "may not reflect the intramyofibrillar glycogen stores, which appear to have the greatest impact on muscle function". The page's other two papers measured performance after sleep loss, and testosterone after a week of short sleep; none tested how the three combine. Source: Hamidvand A, Delleli S, Rothschild JA, Chenaghchi F, Jafari A, Naderi A. Acute effects of resistance exercise on skeletal muscle glycogen depletion: A systematic review and meta-analysis. Physiol Rep. 2025;13(24):e70683.

Found by

the Q637 follow-up of the Q606 Leproult 2011 sweep: the Short read against Mark's first full paste of Hamidvand et al. 2025 and his re-pastes of Leproult 2011 and Craven 2022

A sleep Short said a one-night study found growth hormone unchanged; the study did not measure growth hormone

ShortHow Much Sleep for Gains? Three Floors, Not One Number.

What it said

The Short said "Growth hormone levels did not change significantly", "GH and IGF-1 not significantly affected", "When growth hormone was measured after sleep deprivation, it barely changed" and "Growth hormone barely moved", described the muscle-building drop as "Mechanism confirmed" and "The building machinery did not respond", and its search description said "Growth hormone isn't why."

What it says now

It says the study "measured no growth hormone, and IGF-1, a growth factor, did not change", that "the authors attribute it to anabolic resistance", that the mechanism was "proposed by the authors", and that "The building machinery responded less."

Why, and the source

Lamon et al. (2021) measured IGF-1, cortisol, testosterone and insulin, not growth hormone; IGF-1 "did not vary with time, sleep, or the combination of both". Muscle protein synthesis was 18% lower after a night without sleep, which the authors read as anabolic resistance, "decreasing the capacity of the muscle to respond to the typical anabolic stimulation triggered by dietary protein intake". Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A sleep Short called a trial's exercise result a partial, incomplete rescue; synthesis stayed at the normal-sleep level, and muscle mass was not measured

ShortHow Much Sleep for Gains? Three Floors, Not One Number.

What it said

The Short said five nights of short sleep produced "the same suppression", answered whether exercise prevents muscle damage with "Partially", called it "a measurable rescue" and training "a measurable, incomplete second", and cited the trial in "Frontiers in Physiology".

What it says now

It says the trial "found a similar drop: about 19% lower than with normal sleep", that "three high-intensity interval sessions during the restricted period kept protein synthesis at the normal-sleep level", that "Interval training through a short week held the measured rate in that trial", that "The trial did not measure muscle mass", and cites "The Journal of Physiology".

Why, and the source

Saner et al. (2020), in The Journal of Physiology, gave 24 young men five nights of 4 hours in bed with or without three sessions of high-intensity interval exercise on a cycle ergometer. Myofibrillar protein synthesis was about 19% lower without exercise; with it, "rates of MyoPS were maintained at control levels". The study "did not employ direct measurements of changes in muscle mass". Source: Saner NJ, Lee MJ-C, Pitchford NW, Kuang J, Roach GD, Garnham A, Stokes T, Phillips SM, Bishop DJ, Bartlett JD. The effect of sleep restriction, with or without high-intensity interval exercise, on myofibrillar protein synthesis in healthy young men. J Physiol. 2020;598(8):1523-1536.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A sleep Short said 18 studies of 252 men found no significant testosterone effect; that was six partial-sleep studies of 98 men

ShortHow Much Sleep for Gains? Three Floors, Not One Number.

What it said

The Short said "the largest available pooled analysis across 18 studies and 252 men found the effect not statistically significant" and cited a "meta-analysis of 18 partial-deprivation studies (252 men)".

What it says now

It says "a 2021 pooled analysis found the effect not statistically significant in its six partial-sleep studies (98 men); a full night without sleep did lower testosterone".

Why, and the source

Su et al. (2021) included 18 studies of 252 men in all. "Six studies involving 98 men" compared partial sleep deprivation with control, and that effect was not significant (P = 0.13), while total sleep deprivation reduced testosterone. Su does not call its analysis the largest. Source: Su L, Zhang S-z, Zhu J, Wu J, Jiao Y-z. Effect of partial and total sleep deprivation on serum testosterone in healthy males: a systematic review and meta-analysis. Sleep Med. 2021;88:267-273.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A sleep Short said endurance and skill both collapse after short sleep and cited a performance review in the wrong journal

ShortHow Much Sleep for Gains? Three Floors, Not One Number.

What it said

The Short said "Endurance and motor skills collapse harder", that "Endurance collapses harder than strength", that "Strength absorbs the smallest hit", that "The session you powered through on short sleep was measurably worse", rated the review "Consistent across outcome types", gave its threshold as "Below six hours", and cited it as "Br J Sports Med" under the title "Effects of sleep deprivation on exercise performance: a systematic review and meta-analysis".

What it says now

It says "Maximal strength, a single all-out effort, absorbs the smallest hit", "Endurance falls more, about 5.5%, and skill tasks most, about 21%", "Significant in every exercise category, though the size varied widely", "At six hours or less", and cites "Sports Med" with the paper's own title. The line about the reader's own session is removed.

Why, and the source

Craven et al. (2022), in Sports Medicine, titled "Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review", counted ≤ 6 h in 24 h as sleep loss. Endurance fell 5.55%, skill 20.9% and strength, "Maximum force development during a single effort", 2.85%; sets of repeated repetitions, its strength-endurance category, fell 9.85%. Effects were significant in all categories, with an I² of 98.1%: the review pooled study averages and cannot say what one person's session lost. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A sleep Short gave a one-night sleep study as 10 people in J Physiol; it was 13 adults in Physiological Reports

ShortHow Much Sleep for Gains? Three Floors, Not One Number.

What it said

The Short's source line read "Lamon et al. 2021 · J Physiol · n=10", its evidence read "FSR 0.059 vs 0.072 %/h (P = .040), n = 10", and its chart said "Single controlled study, n=10".

What it says now

It reads "Lamon et al. 2021 · Physiol Rep · n=13", "n = 13 (seven men, six women)" and "Single controlled study, n=13".

Why, and the source

Lamon et al. (2021), Physiol Rep 9:e14660, studied "Healthy young adults (N = 13; seven male, six female)" in a randomized crossover. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A sleep Short said no sports organization has overridden the seven-to-nine-hour sleep guideline; FitChef has no source for that

ShortHow Much Sleep for Gains? Three Floors, Not One Number.

What it said

The Short said "per the institutional guideline that no sports organization has overridden", "no sports organization has published a different number for people who train", and, in its audio, "Everyone agrees. The range is real, no sports organization has challenged it."

What it says now

It says "Seven to nine hours, the standard recommendation for adults" and "The standard recommendation for adults is seven to nine hours." The lines about sports organizations are removed.

Why, and the source

FitChef keeps no source on what sports organizations have or have not published, so those lines could not be checked. Saner et al. (2020), one of the papers the Short rests on, states the adult recommendation: "it is recommended that adults obtain between 7 and 9 h of sleep each night". The page now says only that. Source: Saner NJ, Lee MJ-C, Pitchford NW, Kuang J, Roach GD, Garnham A, Stokes T, Phillips SM, Bishop DJ, Bartlett JD. The effect of sleep restriction, with or without high-intensity interval exercise, on myofibrillar protein synthesis in healthy young men. J Physiol. 2020;598(8):1523-1536.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's pastes of every paper it cites that is on file

A training-time Short misreported a sleep-loss review's strength, endurance and morning-afternoon results

ShortMorning or Evening Workouts: What 22 Trials Actually Found

What it said

The Short gave the review's result as "strength -3.46%, endurance -7.47%", said "Across 69 studies", and called the morning and afternoon results "AM sleep-deprivation sensitivity" and "PM performance more affected than AM under sleep deprivation".

What it says now

It gives "strength -2.85%, endurance -5.55%", "Across 69 publications (77 studies)", and "After sleep loss (all protocols), morning tests: −5.42%; afternoon and evening tests: −8.31%", adding that only 8 of the review's 227 results were measured after 6 PM.

Why, and the source

Craven et al. (2022) report strength -2.85% and endurance -5.55%; -3.46% and -7.47% appear in the review only as two subgroup results for anaerobic power. The 77 studies came from 69 publications. The morning (5.42%) and afternoon-and-evening (8.31%) results pool every sleep-loss protocol, not sleep deprivation alone, and only 8 of the 227 results were measured after 6 PM. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's paste of Craven and the copy of Stutz et al. 2019 that Mark ruled usable

A training-time Short ranked sleep loss above any morning-versus-evening difference ever measured, a comparison its source does not make

ShortMorning or Evening Workouts: What 22 Trials Actually Found

What it said

The Short said short sleep's 7.56% performance cost was "a gap larger than any morning-versus-evening difference that has ever been measured", "larger than any morning-versus-evening training difference ever measured" and "a bigger gap than any morning-versus-evening difference ever measured", that sleep has "one of the largest" effects, and that "Sleep loss hits evening performance harder than morning, which means the best training time is whichever hour protects your sleep". Its audio, after saying time of day does not build more muscle, asked "what timing variable actually does?" and answered with sleep.

What it says now

It says short sleep costs an average of 7.56% "in tests of strength, speed, endurance and skill after a single night of six hours of sleep or less", that the variable you probably don't track "has a measurable effect on how well you perform", and that the review's authors "advise morning training when a short night cannot be avoided". Its audio asks which timing variable is "worth tracking".

Why, and the source

Craven et al. (2022) measured next-day test performance after one night of sleep loss, not muscle growth, and compare their result with no training-time difference. They note that the influence of time of day on performance without sleep loss "is well documented", report their own morning-afternoon gap after sleep loss (5.42% against 8.31%), and advise, when sleep loss is unavoidable, to "prioritise morning exercise in an effort to maintain performance". "Larger than any ... ever measured" rests on no source. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's paste of Craven and the copy of Stutz et al. 2019 that Mark ruled usable

A training-time Short said evening exercise improves sleep and that heart rate needs sixty minutes to settle; neither is what the review found

ShortMorning or Evening Workouts: What 22 Trials Actually Found

What it said

The Short said "evening training improves rather than damages sleep", that "Evening exercise improves sleep quality", that it "improves sleep architecture", that "The recovery stages that matter most for what happens in muscle tissue overnight shift in your favor when you train later", that it "increases the deep sleep stages your muscles need most", that "Heart rate needs roughly sixty minutes to settle", and that "A 60-minute buffer between your last set and bedtime clears the window".

What it says now

It says "evening training does not damage sleep", that "deep sleep rose slightly", by about one percentage point, "which the authors call of questionable clinical significance", that in the one study that found sleep impaired "heart rate was still about 26 beats a minute higher at bedtime", and that in another study "a hard session ending 2.5 hours before bed did not affect sleep".

Why, and the source

Stutz et al. (2019) found slow-wave sleep up 1.33 and stage 1 sleep down 0.92 percentage points, wrote that "the clinical significance of these effects is questionable", and found no change in the time taken to fall asleep, total sleep time, sleep efficiency, time awake after falling asleep or rated sleep quality. In the one study that found sleep impaired, heart rate at bedtime "was still increased by 26 beats per minute" an hour after vigorous exercise; the 20-beat threshold is that study's hypothesis. In another study, vigorous exercise ending 2.5 hours before bed did not affect sleep, and the authors call for tests of whether vigorous exercise ending two hours or more before bed leaves sleep unaffected. Source: Stutz J, Eiholzer R, Spengler CM. Effects of Evening Exercise on Sleep in Healthy Participants: A Systematic Review and Meta-Analysis. Sports Med. 2019;49:269-287.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's paste of Craven and the copy of Stutz et al. 2019 that Mark ruled usable

A training-time Short cited a sleep-loss review under a title it does not have

ShortMorning or Evening Workouts: What 22 Trials Actually Found

What it said

The Short cited "Craven et al. 2022 — Sleep Loss and Exercise Performance", and its chart named the review "Effects of Sleep Loss on Exercise Performance".

What it says now

It cites and names "Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review".

Why, and the source

That is the review's title as printed (Sports Medicine, 2022). Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the page read in full against Mark's paste of Craven and the copy of Stutz et al. 2019 that Mark ruled usable

A study page's charts named a review under a wrong title and described pooled results as after sleep deprivation

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The page's two charts named the paper "Effects of acute sleep loss on physical performance: a systematic and meta-analytic review", and the first described its results as "after a single night of sleep deprivation".

What it says now

They name it "Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review", and the first chart describes its results as "after acute sleep loss (a night without sleep, or six hours or less in 24 hours)".

Why, and the source

The title is printed as "Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review". The strength and skill results pool every sleep-loss protocol in the review: sleep deprivation and restriction to six hours or less. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page said hard training during "those same bad nights" fully rescued muscle building; the trial tested five nights of four hours in bed

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page linked to "the finding that hard training during those same bad nights fully rescued the building rate".

What it says now

It links to "the finding that hard interval training during five nights of four hours in bed kept the building rate at the normal-sleep level".

Why, and the source

Saner et al. (2020) restricted sleep to 4 hours in bed for five nights; myofibrillar protein synthesis was lower in the group that did not exercise, and "rates of MyoPS were maintained at control levels by performing HIIE during this period" (three sessions of high-intensity interval exercise). The study page's own review tested single short nights. Source: Saner NJ, Lee MJ-C, Pitchford NW, Kuang J, Roach GD, Garnham A, Stokes T, Phillips SM, Bishop DJ, Bartlett JD. The effect of sleep restriction, with or without high-intensity interval exercise, on myofibrillar protein synthesis in healthy young men. J Physiol. 2020;598(8):1523-1536.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page said a one-night sleep-loss study showed less muscle built from a workout; its participants did not train

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page said short nights work on "how much muscle you build from the session you just pushed through".

What it says now

It says "how much muscle protein your body builds after a night without sleep".

Why, and the source

Lamon et al. (2021) kept 13 adults awake for one night and measured muscle protein synthesis the next afternoon, 18% lower than after normal sleep. Participants had to "refrain from strenuous exercise" for 48 hours before each trial, and no exercise was part of the protocol. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page misdescribed who a sleep-loss review studied and how much data some results rest on

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page called the participants "healthy young men", said the results were "single nights in healthy men from an eight-study cluster", gave the threshold as "less than six hours", said endurance suffered "either way" after any kind of short night, said there was too little data "from female athletes", and told readers that if they are a woman or "much older" they are "outside what these studies actually measured".

What it says now

It says "Almost nine in ten participants were men, all of them healthy adults", "single short nights in healthy adults, almost nine in ten of them men", "six hours of sleep or less in a 24-hour period", that the late-bedtime and early-alarm endurance results "rest on two and three outcomes", "from women", and that women were "barely represented (about one in ten participants, too few to test separately)".

Why, and the source

Craven et al. (2022) included adults (18 and over) without medical conditions, 89% of them men, from 77 studies; sleep loss was "≤ 6 h sleep in any 24 h period"; the review's pasted text gives no ages. Endurance after early and late restriction rested on two and three outcome measures, and about 11% of participants were women: measured, but too few to analyse separately. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page credited a review with findings about effort and motivation that it did not test

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page said "The researchers also flag perceived effort. Among the mechanisms they point to, sleep loss tends to make the same workout feel harder and can dent motivation. That's likely part of why so many bad-sleep sessions get cut short or skipped".

What it says now

It says "The review did not test why. Its introduction lists possibilities from earlier studies, among them lower motivation and a workout that feels harder; the authors left the mechanisms for others to explore."

Why, and the source

Craven et al. (2022) mention decreased motivation and increased perceived effort only in their introduction, as possible consequences reported by other studies, and write that "it was not the intention of the present study to explore these mechanisms". Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page said short nights did not move strength at all; the drop after an early alarm only missed significance

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page said that after short nights strength "mostly didn't move the needle", that "Merely short or interrupted nights mostly didn't move it at all", and that the "I can still hit my numbers tired" instinct is true for maximal strength "and almost nobody else".

What it says now

It says "After merely short nights, the drop did not reach significance; after an early alarm it came close (about 4.5%)", and no longer says the instinct holds for almost nobody else.

Why, and the source

In Craven et al. (2022), strength fell significantly only after sleep deprivation (3.00%). After late restriction it fell 4.45% (p = 0.068), after restriction overall 2.77% (p = 0.167) and after early restriction 1.16% (p = 0.102): not significant, which is not the same as no effect. Speed/power endurance fell 2.90%, as little as strength. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page described differences between studies as differences between people, with a personal range the review never gives

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page said "Individual responses were all over the map", that "some people in these studies barely declined, others came apart", that "Your personal cost on any given bad night might be 2%, or it might be 15%", that "individual results varied enormously", and that "the responses varied a lot from one person to the next"; a heading read "Why Your Bad Night Won't Match the Average", and a pull quote said "Same night, same body, two completely different prices."

What it says now

It says "Results were all over the map from study to study", that "The review pooled studies, not individual people, so it cannot tell you your own cost", and that "the results varied a lot from one study to the next"; the heading reads "What the Average Can't Tell You", and the pull quote "Same kind of night, two completely different prices."

Why, and the source

Craven et al. (2022) pooled effect estimates from trials ("each individual effect estimate from a given trial was termed an 'outcome measure'"). The I² of 98.1% describes how much those estimates varied beyond chance; the review reports no individual responses and no personal range. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page told a review's afternoon-and-evening results as evening results, though few tests ran after 6 PM

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page said "morning sessions held up better than evening ones" "Across the categories", that "Morning workouts held up better than evening ones", and warned against "a late evening session" and "a late-evening one".

What it says now

It says "Across all the categories combined, morning sessions held up better than afternoon and evening ones", that "Endurance went the other way, and only 8 of the 227 results came from tests after 6 p.m.", and speaks of "a later session" and "an afternoon or evening one".

Why, and the source

Craven et al. (2022) split tests into AM and PM (ante and post meridiem): morning 5.42%, afternoon and evening 8.31%; endurance fell more in the morning (6.50%) than later (3.56%). They note that "only 8/227 outcomes were measured later than 1800 h". Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page said a review reported only a pattern, not advice; its authors give the advice themselves

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page said the researchers "reported the pattern, not a lifestyle order", that "a quiet game plan falls out of the numbers on its own", that "That isn't a coach barking orders", and that "None of that is an instruction."

What it says now

It says "The researchers drew the lesson themselves" and "The authors write it into their conclusion: if sleep loss is unavoidable, mimic a late bedtime rather than no sleep or an early alarm, and train in the morning."

Why, and the source

Craven et al. (2022) conclude that "if acute sleep loss is anticipated and unavoidable, individuals should, where possible, endeavour to mimic early-restriction sleep patterns rather than deprivation or late restriction, and prioritise exercise to the morning in an effort to maintain performance". Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page said an early alarm is the short night the data punishes hardest and a late bedtime barely registers

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page said the pre-dawn alarm "is the exact version of a short night the data punishes hardest", that going to bed late "produced a dip so small and so scattered across studies that they couldn't call it a real effect", "barely registered", "barely showed an effect at all" and "barely mattered", called it a "no effect" result, and said that early waking "hurt performance far more".

What it says now

It says the early alarm "is one of the two kinds of bad night the data punishes most; the other is no sleep at all", and that a late bedtime "showed no clear loss overall", "though skill tasks still fell".

Why, and the source

Craven et al. (2022) write that "the detrimental effects observed with sleep deprivation and late-restriction protocols appear to be more consistent and similar in magnitude" (late restriction 7.39%, deprivation 5.25%). After early restriction the pooled estimate was 5.85% (95% CI -13.4 to 1.66, p = 0.125): not significant rather than small, with "no change ... except for skill and endurance tasks"; skill fell 23.9%. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page turned a review's time-awake rule of thumb into a personal tax that applied to every short night

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page called the time-awake result "a steady, almost mechanical pattern" after "a short night", said the authors' example was a loss "from the waking hours alone", called hours awake times 0.4% "your performance tax for the day" and "a calculator", promised "a measurable, predictable price tag on your workout", and gave the 0.4% an hour, and its chart of hours awake, without saying which nights they apply to.

What it says now

It says that "After a night without sleep or an early alarm" performance slipped about 0.4% for every extra hour awake and that "After a late bedtime, it did not", gives the authors' example of about 5% without a separate cost on top, calls it "a rule of thumb" and "an average across studies, not a measurement of your own session", says a bad night "measurably lowers performance on average", and counts the chart's hours "after an early alarm".

Why, and the source

Craven et al. (2022) found the relationship "for both deprivation and late-restriction protocols (~ 0.4% decrease for every hour awake prior to exercise)"; it was not significant for early restriction (p = 0.323) or for all protocols combined (p = 0.095). Time awake was counted as "the number of hours from their last waking to the start of the exercise task", and their example is an early rise: "if an individual rises early (e.g., ~ 0300 h) and performs a task 12 h later (~ 1500 h), then a ~ 5% decrease in performance may be anticipated". Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page turned a review's likely explanation for its skill result into a rule about force and coordination

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page said "Anything built on raw force survives a rough night nearly intact. Anything built on coordination comes apart." and that skill tasks "lean on exactly the brain functions sleep loss dulls first".

What it says now

It says "Single maximal efforts held up best. The skill tasks, which ask the most of the brain, fell furthest." and that "sleep loss has been shown to dull reaction time, attention and decision making, so tasks that are also cognitively demanding are likely to be hit hardest".

Why, and the source

In Craven et al. (2022), anaerobic power (maximal efforts of six seconds or less, such as jumps and sprints) fell 6.26%, so not everything built on force held up. The authors write that the skill result "may be attributed to the higher cognitive demand" and that "physical tasks that are also cognitively demanding are likely to be most affected"; they name no order in which brain functions are dulled. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page described a review's single maximal-strength tests as a strength training day

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page said "The straightforward strength day is the one working with what holds up", that "a straightforward lifting session holds up well", that "strength work mostly survives", that a bad night barely touches "a heavy technical lift" among the precision tasks, and that "Your muscles basically shrug off a bad night."

What it says now

It says "A day of heavy singles is the one working with what holds up; sets of repeated reps fell more, though that result is thin", that "a session of heavy singles holds up well", that "single max efforts mostly survive", names "free throws, a serve, a target" as the precision tasks, and says "The tasks that lean hardest on your brain took the biggest hit."

Why, and the source

Craven et al. (2022) define strength as "Maximum force development during a single effort" (one-rep maxes, maximum contractions), down 2.85%. Repeated repetitions are strength-endurance, down 9.85% in five studies of 62 men, an effect "unstable during one-out analyses". The skill tasks were sport skills such as tennis serving, rugby passing and free-throw shooting. Anaerobic power fell 6.26% and endurance 5.55%. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A study page gave a review's 7.5% average as the cost to every type of exercise

StudySleep-Deprived Workouts Lose 7.5% — Your Accuracy Loses 21%

What it said

The study page said a bad night "drags down every kind of exercise by about 7.5%", that it "reduces exercise performance by about 7.5% across every type of physical task", that the answer "came back at about 7.5% across the board", and its search title read "Bad Sleep Costs 7.5% Across Every Exercise".

What it says now

It says a bad night "drags down every kind of exercise it tested, by about 7.5% on average", that performance falls "by about 7.5% on average, and every type of physical task tested got worse", and the search title reads "Sleep Loss Costs 7.5% on Average".

Why, and the source

In Craven et al. (2022), the 7.56% is the weighted mean across all seven exercise categories. The categories ranged from 2.85% (strength) to 20.9% (skill); speed/power endurance fell 2.90%, endurance 5.55%, high-intensity intervals 6.15% and anaerobic power 6.26%. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q642 sweep of Craven et al. 2022 (backlog/Q642_CRAVEN_2022_SWEEP.md), with the review's own study page read in full against Mark's paste of the paper

A sleep claim turned a review's likely explanation for its skill result into a rule that the more an exercise depends on the brain, the more it costs

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim said the finding worth remembering was that "the more an exercise depends on your brain, the more it costs", that "The pattern suggests the more an exercise depends on your brain (coordination, timing, accuracy), the harder sleep loss hits it", and that after a bad night "Your nervous system can't steer it."

What it says now

It says "the exercises that lean hardest on your brain are the ones likely to cost the most", that "The authors suggest that tasks leaning hardest on your brain (coordination, timing, accuracy) are likely to be hit hardest", and "Your nervous system steers it less well."

Why, and the source

Craven et al. (2022) found the largest fall for skill tasks, those with a "high cognitive component", down 20.9%. They write that this "may be attributed to the higher cognitive demand" and that "physical tasks that are also cognitively demanding are likely to be most affected by acute sleep loss". The review did not rank its other categories by how much they depend on the brain, and did not set out to explore mechanisms. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim said an evening session after a bad night won't harm the next night's sleep; the review tested healthy adults' single sessions

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim said a review "found that evening exercise itself doesn't harm your next night of sleep" and "So shifting to an evening session after a bad night won't create a negative feedback loop."

What it says now

It says the review "found no support for the idea that a single evening session harms the sleep that follows" and "So for healthy adults, an evening session is unlikely to spoil the next night's sleep, unless it is vigorous and ends close to bedtime."

Why, and the source

Stutz et al. (2019) reviewed "a single session of evening physical exercise compared to a no-exercise control in healthy adults": the studies "do not support the hypothesis that evening exercise negatively affects sleep", but sleep "might be impaired after vigorous exercise" ending an hour or less before bedtime. Source: Stutz J, Eiholzer R, Spengler CM. Effects of Evening Exercise on Sleep in Healthy Participants: A Systematic Review and Meta-Analysis. Sports Med. 2019;49:269-287.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim called a review the largest analysis ever published and credited FitChef with advice the review itself gives

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim called the review "The largest analysis of sleep and exercise ever published" and "The most comprehensive quantitative synthesis of sleep loss and exercise performance ever published", called its spread across categories "the analytical product no competitor presents", and said FitChef's synthesis was "an integrated scheduling protocol not presented in any single existing analysis".

What it says now

It calls it "A 2022 review that pooled 77 studies of sleep loss and exercise", notes the authors "found only one earlier meta-analysis on the question", and says FitChef's guide is "close to the review's own conclusion".

Why, and the source

Craven et al. (2022) say only that of earlier reviews "only one employed meta-analytical techniques", conducted "over two decades ago". Their own conclusion gives the scheduling advice: "if acute sleep loss is anticipated and unavoidable, individuals should, where possible, endeavour to mimic early-restriction sleep patterns rather than deprivation or late restriction, and prioritise exercise to the morning", with the ~0.4% per hour awake. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim said a one-night sleep-loss study showed worse recovery from a workout; its participants did not train

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim said "one bad night also reduced the body's ability to build muscle from food by about eighteen percent", that "The workout is worse AND the recovery from that worse workout is compromised", that "the recovery from that workout is compromised", that the session "is worse AND the recovery from that session is weaker", and that "the math doesn't stop when you re-rack the weight"; asked whether you still recover normally after training on bad sleep, it answered "That's the second hit most people miss."

What it says now

It says "a night without any sleep also lowered muscle protein synthesis after the same meals by about eighteen percent" and that "Those participants did not train, so whether the same holds after a workout was not tested"; to the recovery question it answers "No study here tested that directly."

Why, and the source

Lamon et al. (2021) kept 13 adults awake for "one night of total sleep deprivation" and measured muscle protein synthesis the next afternoon, 18% lower, with standardized meals in both conditions. Participants had to "refrain from strenuous exercise" for 48 hours before each trial, and no exercise was part of the protocol; muscle mass and recovery from training were not measured. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim quoted a performance meta-analysis in words the paper does not use

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim's source quote began: "Across all physical performance outcomes assessed, the results showed that acute sleep loss led to a 7.56% decrease in performance compared to typical sleep conditions".

What it says now

It quotes the paper's abstract: "Results indicated a negative impact of sleep loss on the percentage change".

Why, and the source

The old quote does not appear anywhere in Craven et al. (2022): it was composed from the review's numbers and presented as the authors' words, and its interval for speed/power endurance (−5.03 to −0.78) is not the paper's (−4.97 to −0.82). A quote must be copied from the paper. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim misreported several figures from a performance meta-analysis

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim gave the early-alarm result as "−7.39% (95% CI: −12.9 to −1.84, p < 0.001)", named skill as the most varied category ("Highest: skill I²=94.1%"), claimed "high statistical confidence for the overall finding and for five of seven individual categories", said morning sessions "showed about half the decline", and called stability in one-out analysis "indirect evidence against bias".

What it says now

It gives "−7.39% (95% CI: −10.1 to −4.66, p < 0.001)", "Highest: high-intensity intervals I²=98.9%", "every category statistically significant and six of seven stable when any single result was left out", "about two-thirds the decline", and says that one-out and sensitivity analyses "do not test for publication bias".

Why, and the source

In Craven et al. (2022), late restriction was −7.39% (95% CI −10.1 to −4.66); I² was 98.9% for high-intensity intervals and 94.1% for skill; all seven categories were significant and all but strength-endurance were stable in one-out analysis; morning tests fell 5.42% against 8.31% in the afternoon and evening. Skill rested on nine studies, the second-smallest pool after strength-endurance's five. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim told a review's afternoon-and-evening results as evening results, though few tests ran after 6 PM

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim said "evening sessions declined about 8.3%", that "Evening sessions are hit harder than morning ones" and that a morning session "holds up better than an evening one".

What it says now

It says "afternoon and evening sessions", and adds that "only 8 of the 227 results came from tests after 6 PM, so the evening itself is thinly tested".

Why, and the source

Craven et al. (2022) split tests into AM and PM (ante and post meridiem): morning 5.42%, afternoon and evening 8.31%. They note that "only 8/227 outcomes were measured later than 1800 h". Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim said an early alarm is the short night the evidence punishes hardest; a night without sleep was similar

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim said the pre-dawn alarm "is the specific version the evidence punishes hardest", called the alternative "staying up late and sleeping in", said a late bedtime "mostly escapes" without the exception for skill, and that "The data is clear on this one".

What it says now

It says the early alarm "is one of the two the evidence punishes most; the other is no sleep at all", calls the alternative "staying up late, then waking at the usual time", and adds that after a late bedtime "skill still fell about 24 percent".

Why, and the source

Craven et al. (2022) write that "the detrimental effects observed with sleep deprivation and late-restriction protocols appear to be more consistent and similar in magnitude" (late restriction 7.39%, deprivation 5.25%). Early restriction means participants "delayed sleep"; it showed no overall change (5.85%, p = 0.125) "except for skill and endurance tasks": skill fell 23.9% after early restriction. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim gave a review's 7.5% average as the cost to every type of exercise, and drew it as power and endurance's

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim said one bad night "costs about 7.5% off every type of exercise", gave "7.5% across every exercise type", and its chart drew the 7.5% as the power and endurance pillar, described as "Average decline across anaerobic power, intervals, and endurance tasks".

What it says now

It says "about 7.5% on average across the types of exercise tested", and the chart's middle pillar is now labelled as the average across all exercise types.

Why, and the source

In Craven et al. (2022), the 7.56% is the weighted mean across all seven categories; the categories ranged from 2.85% (strength) to 20.9% (skill), and anaerobic power, speed/power endurance, high-intensity intervals and endurance fell 2.90% to 6.26%. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim described differences between studies as differences between people, with personal ranges the review never gives

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim said "Individual responses in this research were all over the place", that "some people in these studies barely declined, others came apart", that "Your personal cost on any given bad night might be two percent or fifteen", that "your own result could be half the average or double it", that the research "can tell you the price of playing", and that the overall finding "was consistent across the included studies".

What it says now

It says results varied "from study to study", that "the studies varied far more than chance alone would explain", that "The review pooled studies, not individual people, so it cannot tell you your own cost", that it can tell you "the average price of playing", and that the overall finding "held when any single result was left out".

Why, and the source

Craven et al. (2022) pooled effect estimates from trials ("each individual effect estimate from a given trial was termed an 'outcome measure'"). The I² of 98.1% describes how much those estimates varied beyond chance; the review reports no individual responses and no personal range. The overall effect "was stable during one-out" analysis. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim said lower-body lifts had the edge after a bad night; they fell more than upper-body lifts

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim told strength trainers that "If you are picking what to do on a bad-sleep day, your lower-body compounds have a slight edge in the data", and its evidence rows called the upper-body result "likely underpowered rather than truly unaffected".

What it says now

It says "upper-body strength held up better in the data", and that the authors call upper-body strength unaffected, "though with 18 outcomes a small effect cannot be ruled out".

Why, and the source

In Craven et al. (2022), lower-body strength fell 3.42% (p = 0.002) and upper-body strength 1.63% (p = 0.056): "tasks involving lower-body strength demonstrating a negative influence on performance, while tasks requiring upper-body strength were unaffected". Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim described a review's single maximal-strength tests as heavy training sessions

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim said that if a session "is built around heavy compounds — squats, presses, pulls at near-max loads — the research suggests the cost is under three percent. Train as planned.", that "heavy compound movements (squats, bench press, deadlifts) held up within about 3%", and that Olympic lift variations "would fall into" the skill group.

What it says now

It says the under-3% result is for "single heavy efforts — a max single, a top-end attempt", that "Sets of repeated reps are a different category: they fell about 10 percent, though from only five studies, and the result was unstable", and that the review "tested sport skills such as serving, passing and shooting, not lifts".

Why, and the source

Craven et al. (2022) define strength as "Maximum force development during a single effort" (one-rep maxes and maximum contractions such as hand-grip and knee extension), down 2.85%. Repeated repetitions, for example at 85% of 1RM, are strength-endurance, down 9.85% in "Five studies (n = 62; 100% male)", an effect "unstable during one-out analyses". The skill category is tasks with a "high cognitive component", such as tennis serving, rugby passing and free-throw shooting. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A sleep claim turned a review's time-awake rule of thumb into a personal formula with a cost added on top

ClaimHow Much Does a Bad Night Actually Hurt Your Workout?

What it said

The claim said the pattern "turns a general warning into something personal", that a day from 5 AM to 7 PM meant "5.6 percent gone from time alone", "before accounting for the base cost of the short night itself", called hours awake multiplied by 0.4 "your approximate performance tax for that session" and "The tested formula for personal cost", described the relationship as "steady and almost mechanical", and treated it and the morning-afternoon split as "Two independent scheduling levers".

What it says now

It says that "After a night without sleep or an early alarm" the drop grew by about 0.4 percent an hour and that "After a late bedtime, it did not", gives the authors' own example of about 5 percent, calls the rule "an average across studies, not a measurement of your own session", and says the authors read the later session's bigger drop as the same time-awake cost.

Why, and the source

Craven et al. (2022) found the relationship "for both deprivation and late-restriction protocols (~ 0.4% decrease for every hour awake prior to exercise)"; it was not significant for early restriction (p = 0.323) or for all protocols combined (p = 0.095). Their example is that "if an individual rises early (e.g., ~ 0300 h) and performs a task 12 h later (~ 1500 h), then a ~ 5% decrease in performance may be anticipated", with no separate base cost. They write that exercise in the PM, "hence inducing a greater period between the start of sleep loss and the commencement of the task", is the stronger moderator. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 (finding PD1, backlog/Q606_LEPROULT_2011_SWEEP.md), with the page read in full against Mark's paste of Craven et al. 2022 and every other pasted or waived source, drafted by Q631

A Short tied a week-long testosterone dip to slower muscle building and body composition, which the study did not measure

ShortAfter a Sleepless Night, the Same Meals Built Less Muscle Protein

What it said

Its answer to "Does sleep deprivation lower testosterone?" said the week-long fall was "part of the broader anabolic resistance pattern: the body moves from build mode to conserve mode, affecting both muscle building and body composition."

What it says now

It says "Neither study tested whether the testosterone fall slowed muscle building."

Why, and the source

Leproult and Van Cauter (2011) measured sleep, testosterone, cortisol and vigor in ten young men; they measured no muscle building or body composition. The one-night trial on the same page measured both muscle protein synthesis and testosterone, and its authors write that whether the daytime low in testosterone "may contribute to anabolic resistance needs to be tested experimentally". Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

Two sleep Shorts told our own arithmetic, five to fifteen years of aging, as what a testosterone study found

ShortYour Body Already Chose Between Sleep Quality and Hours ShortAfter a Sleepless Night, the Same Meals Built Less Muscle Protein

What it said

One Short said a week of five-hour nights lowered testosterone by "what normally takes 5 to 15 years of aging compressed into seven days", and its social card said "testosterone aging 15 years in a week". The other answered that the drop was "equivalent to 5-15 years of normal aging".

What it says now

Both say the drop is "5 to 15 years' worth" at the 1 to 2 percent a year the authors give for normal aging.

Why, and the source

Leproult and Van Cauter (2011) found daytime testosterone 10 to 15% lower in ten young men after a week of 5-hour bedtimes and wrote: "By comparison, normal aging is associated with a decrease of testosterone levels by 1% to 2% per year." The years are our arithmetic on that comparison, not a finding of the study, and they describe testosterone only. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

Two Shorts cited sleep papers under titles they do not have

ShortAfter a Sleepless Night, the Same Meals Built Less Muscle Protein ShortYour Body Already Chose Between Sleep Quality and Hours

What it said

One Short cited "Lamon et al. 2021 — Acute sleep deprivation and muscle protein synthesis", "Nedeltcheva et al. 2010 — Sleep restriction and body composition during caloric restriction" and "Saner et al. 2020 — High-intensity exercise maintains muscle protein synthesis during sleep restriction"; the other cited "Effects of Sleep Loss on Exercise Performance (Craven et al. 2022)".

What it says now

They cite "The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment", "Insufficient sleep undermines dietary efforts to reduce adiposity", "The effect of sleep restriction, with or without high-intensity interval exercise, on myofibrillar protein synthesis in healthy young men" and "Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review".

Why, and the source

Those are the titles the four papers print (Physiol Rep 2021;9(1):e14660; Ann Intern Med 2010;153(7):435-441; J Physiol 2020;598(8):1523-1536; Sports Med 2022;52(11):2669-2690). Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A Short said interval exercise reversed the effect of short sleep on muscle building, and reported results the trial does not

ShortAfter a Sleepless Night, the Same Meals Built Less Muscle Protein

What it said

The Short said "High-intensity exercise reversed the damage entirely", "fully rescued sleep-restriction-induced anabolic resistance", "Sarcoplasmic protein synthesis unaffected across conditions", and that the building response held "even when the hormonal environment had collapsed around it".

What it says now

It says men who did interval cycling "kept myofibrillar protein synthesis at the normal-sleep group's level", and that "The trial measured no muscle mass and had no baseline rate to compare with."

Why, and the source

In Saner et al. (2020), 24 young men spent five nights with 4 or 8 hours in bed; with three sessions of interval cycling, "rates of MyoPS were maintained at control levels". The study had no baseline rate, did not measure muscle mass, measured myofibrillar (not sarcoplasmic) protein synthesis, and measured no hormones. Source: Saner NJ, Lee MJ-C, Pitchford NW, Kuang J, Roach GD, Garnham A, Stokes T, Phillips SM, Bishop DJ, Bartlett JD. The effect of sleep restriction, with or without high-intensity interval exercise, on myofibrillar protein synthesis in healthy young men. J Physiol. 2020;598(8):1523-1536.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A sleep Short said 98% of sleep studies measured only hours; the review counted outcomes

ShortYour Body Already Chose Between Sleep Quality and Hours

What it said

The Short said that across 77 studies on sleep and exercise performance, "98% measured only hours", that "98% of sleep-performance studies measured only sleep quantity", and that this was "validating the architecture-focused approach".

What it says now

It says "about 98% of the outcomes came from studies that measured only hours".

Why, and the source

Craven et al. (2022) wrote that "The majority (~ 98%) of included outcomes were obtained from studies that only assessed sleep ‘quantity’". That is a share of outcomes in one meta-analysis of sleep loss and performance, and the review makes no claim about architecture-focused approaches. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A Short gave the wrong ages for the volunteers of a one-night sleep-loss trial

ShortAfter a Sleepless Night, the Same Meals Built Less Muscle Protein

What it said

Its research box described the trial's volunteers as "healthy young adults (24 ± 5 years)".

What it says now

It says "healthy young adults (18–35 years)".

Why, and the source

Lamon et al. (2021) enrolled "Thirteen young (18–35 years old), healthy male and female students"; the mean age was 22 for the men and 20 for the women. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A Short said the gut absorbs protein normally after sleep loss, though no study it cites measured absorption

ShortAfter a Sleepless Night, the Same Meals Built Less Muscle Protein

What it said

The Short's title was "Sleep Deprivation Skips the Gut. It Goes Straight for the Muscle." It said "Sleep deprivation does not impair nutrient absorption — the gut absorbs protein and amino acids normally after a bad night", "Same amino acids delivered", and in its audio "The food got in."

What it says now

Its title is "After a Sleepless Night, the Same Meals Built Less Muscle Protein". It says "No study here measured absorption" and that the trial's tracer "went into a vein, not the meals, so how much protein the gut absorbed was not measured".

Why, and the source

Lamon et al. (2021) infused the tracer into a vein and gave whole-food meals, "thus avoiding the need to add tracer to the meals"; plasma tracer enrichment was shown for a subset of four volunteers. That trial, and the two others on the page, did not measure how much of the meals the gut absorbed. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A gym Short told a fall in self-reported vigor as a hormonal shift, beside a claim of no fatigue signal

ShortThree Gauges Your Body Read Before the Warm-Up Set

What it said

The Short said a week of short sleep lowered testosterone with "No soreness. No obvious fatigue signal. Just a quiet shift that touches recovery speed", and that calling the result a bad day meant "you are naming a hormonal shift you never measured."

What it says now

It says self-reported vigor dropped 32%, that "The study measured hormones and mood, not lifting", and that it "could not say whether the lower testosterone caused the flatness".

Why, and the source

Leproult and Van Cauter (2011) report vigor scores falling "from 28 (5) after the first night to 19 (7) after the seventh night"; the testosterone decline "was associated with lower vigor scores". The study did not measure soreness, recovery or training, and it did not test whether one change caused the other. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A gym Short misdescribed how a meta-analysis linked sleep loss to performance, and overstated its endurance result

ShortThree Gauges Your Body Read Before the Warm-Up Set

What it said

The Short said performance drops "0.4% for every additional hour of lost sleep" and "Three hours of accumulated short sleep and the session was already harder", that the ability to sustain effort across sets "collapses", and that "sleep quality determines central nervous capacity".

What it says now

It says performance dropped "0.4% for every hour awake before the session" after a night without sleep or an early wake-up, that the strength-endurance estimate "came from just five studies of 62 men", and that "sleep loss lowers next-day performance".

Why, and the source

Craven et al. (2022) found "~ 0.4% decrease for every hour awake prior to exercise" after deprivation and late-restriction protocols, not per hour of sleep lost. The strength-endurance estimate (-9.85%) came from five studies of 62 men and "was unstable during one-out analyses". The review measured performance after sleep quantity and did not explore mechanisms such as the central nervous system. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A recovery Short cited eight papers under titles they do not have

ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

The Short cited, among others, "Lamon et al. 2021 — Sleep deprivation reduces muscle protein synthesis", "Mamerow et al. 2014 — Protein distribution and muscle protein synthesis" and "Dupuy et al. 2018 — Recovery modalities meta-analysis".

What it says now

It cites each paper under the title it prints, such as "The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment" and "Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults".

Why, and the source

The eight papers print their own titles (Lamon 2021, Nedeltcheva 2010, Leproult & Van Cauter 2011, Mamerow 2014, Schoenfeld 2013, Dupuy 2018, Morton 2018, Pelland 2025). Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the page's other pasted sources

A recovery Short gave a protein breakpoint without the paper's note that it was not statistically significant

ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

The Short gave a "Meta-analytic protein breakpoint at 1.62 g/kg/day (Morton 2018, 95% CI: 1.03-2.20)".

What it says now

It gives the "breakpoint for fat-free mass gains at 1.62 g/kg/day" and adds "the two-segment fit was not statistically significant, p=0.079".

Why, and the source

Morton et al. (2018) present the 1.62 g/kg/day break point for gains in fat-free mass "as a segmental regression despite not being statistically significant (p=0.079)". Source: Morton RW, Murphy KT, McKellar SR, Schoenfeld BJ, Henselmans M, Helms E, Aragon AA, Devries MC, Banfield L, Krieger JW, Phillips SM. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the page's other pasted sources

A recovery Short said the recovery habit most people default to has the least evidence behind it

ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

The Short said "The recovery habit most people default to has the least evidence behind it".

What it says now

It says "Stretching and electrical stimulation showed no significant effect" and that "Water immersion and compression garments helped too, less than massage".

Why, and the source

Dupuy et al. (2018) compared single sessions of ten recovery techniques, which they describe as the most commonly used, across 99 studies: massage was the most effective for soreness and fatigue, and stretching and electrostimulation showed no significant effect. The paper does not say which technique most people default to, and it reports effects, not how much evidence stands behind each one. Source: Dupuy O, Douzi W, Theurot D, Bosquet L, Dugué B. An Evidence-Based Approach for Choosing Post-exercise Recovery Techniques to Reduce Markers of Muscle Damage, Soreness, Fatigue, and Inflammation: A Systematic Review With Meta-Analysis. Front Physiol. 2018;9:403.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the page's other pasted sources

A recovery Short said protein-timing effects disappeared when intake was equated; the meta-analysis adjusted for it

ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

The Short said "timing effects disappeared when total intake was equated" and that timing "moves nothing".

What it says now

It says timing "showed no significant effect on muscle growth once total protein intake was accounted for" and that "Only 3 of those studies matched protein intake".

Why, and the source

Schoenfeld, Aragon and Krieger (2013) found no significant effect of timing once covariates, including total protein intake, were in the model; total intake was the strongest predictor. Only 3 studies matched protein intake, which they say "makes it difficult to draw firm conclusions". Source: Schoenfeld BJ, Aragon AA, Krieger JW. The effect of protein timing on muscle strength and hypertrophy: a meta-analysis. J Int Soc Sports Nutr. 2013;10:53.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the page's other pasted sources

A recovery Short told a protein-distribution trial as costing intermittent fasters a quarter of their muscle building

ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

The Short said spreading protein "produces 25% higher daily muscle-building output", that intermittent fasting's window "was silently costing a quarter of their daily muscle-building capacity", and that the "Distribution effect is independent of total intake".

What it says now

It says spreading protein "raised 24-hour muscle protein synthesis about 25%", that "The trial did not test narrow eating windows such as intermittent fasting", and "one total intake tested (~90 g/day)".

Why, and the source

Mamerow et al. (2014) gave eight adults about 90 g of protein a day in three meals, evenly or dinner-heavy, for a week each; 24-hour muscle protein synthesis was 25% higher with the even pattern. No eating window was tested, and the authors write that such differences "cannot be expected to precipitate changes in muscle mass or function over a period of weeks or perhaps months". Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the page's other pasted sources

A recovery Short counted a sleep-loss meta-analysis's 77 studies as 69 and its participants as athletes

ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

The Short said "Sleep-deprived athletes perform roughly 7.5% worse" and cited a "meta-analysis of 69 studies".

What it says now

It says "people performed 7.56% worse on average across strength, power, endurance and skill tests", that "The drops were consistent only when the night was skipped or cut short by an early wake-up", and cites a "meta-analysis of 77 studies from 69 publications (n=959)".

Why, and the source

Craven et al. (2022) pooled 77 studies from 69 publications (959 participants, 89% male) and found a mean fall of 7.56% in exercise performance after acute sleep loss, across strength, power, endurance and skill tasks, with results varying widely between studies (I2 = 98.1%). Consistent falls were seen only after a night without sleep or an earlier wake-up, not after a later bedtime. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the page's other pasted sources

A recovery Short told an interval-exercise trial on 4-hour nights as rescuing muscle building, under another paper's DOI

ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

The Short said "Exercise during sleep restriction rescues the muscle-building response back to normal levels", called it "damage control", cited the trial "(cited via Lamon 2021)" under Lamon's DOI, and its chart showed "+18%" for "Muscle building — by exercising anyway".

What it says now

It says the group that "also did three sessions of high-intensity interval cycling kept myofibrillar protein synthesis at the level of the group with 8 hours in bed", that "The trial measured no muscle mass", and cites doi 10.1113/JP278828.

Why, and the source

In Saner et al. (2020), 24 young men in three groups of eight spent five nights with 8 hours in bed, 4 hours, or 4 hours plus three sessions of interval cycling; with the cycling, "rates of MyoPS were maintained at control levels", and without exercise MyoPS was 19% lower. The study had no baseline rate and did not measure muscle mass. The 18% is Lamon 2021's figure, from a different trial. Source: Saner NJ, Lee MJ-C, Pitchford NW, Kuang J, Roach GD, Garnham A, Stokes T, Phillips SM, Bishop DJ, Bartlett JD. The effect of sleep restriction, with or without high-intensity interval exercise, on myofibrillar protein synthesis in healthy young men. J Physiol. 2020;598(8):1523-1536.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the page's other pasted sources

A recovery Short told a week-long testosterone study as a decade of aging and as the hormone that makes protein work

ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

The Short called the finding "equally blunt", said a week of five-hour nights "drops testosterone by 10 to 15% — an aging effect equivalent to a decade or more", that short sleep "dialed down the hormone that makes protein work", and rated the study "Controlled protocol with clear mechanism".

What it says now

It says "The hormonal thread rests on one small study", that "daytime testosterone was 10 to 15% lower", that "at that rate, the drop matches 5 to 15 years of aging", that a later meta-analysis of six partial-sleep studies "found no significant effect", and that "it measured no mechanism".

Why, and the source

Leproult and Van Cauter (2011) found daytime testosterone 10 to 15% lower in ten young men after a week of 5-hour bedtimes, with the rested nights first; they set it against normal aging's "1% to 2% per year". The years are FitChef's arithmetic. The letter notes testosterone's effects on muscle mass and strength as background and measured no protein use or mechanism. A later meta-analysis (Su et al. 2021) pooled six partial-sleep studies, this one among them, and found no significant effect on testosterone. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the page's other pasted sources

A recovery Short told a night without any sleep as "one short night", and cited the trial with the wrong sample and journal

ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

The Short said "one short night cuts muscle-building capacity by 18%", that "One short night of sleep reduces your body's ability to turn protein into muscle by 18%", with "Same shake, same dose, same timing", and its audio pictured "a short night — five, maybe six hours"; it cited the trial as "Nutrients · n=8".

What it says now

It says "one night without sleep lowered muscle protein synthesis by 18%", after "the same standardized meals", and cites "Physiological Reports · n=13".

Why, and the source

Lamon et al. (2021) gave 13 young adults (seven men, six women), in random order, one night of normal sleep at home and one night with no sleep at all; after standardized meals, muscle protein synthesis was 18% lower (p = .040). No shake, and no short night, was tested. The paper is in Physiological Reports. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the page's other pasted sources

A sleep Short told a crossover trial of ten dieters as two groups, and their loss of fat-free mass as lost muscle

ShortSame Protein, Different Sleep, Different Muscle Building

What it said

The Short said "A controlled trial put two groups on identical caloric deficits", "The group sleeping eight and a half hours", "60% more lean mass", "The body preferentially sacrificed muscle", and in its audio "lost 60 percent more muscle"; it cited the trial as "Sleep and body composition during caloric restriction".

What it says now

It says ten overweight adults ate "the same reduced-calorie diet" twice, with 8.5 or 5.5 hours in bed, and lost "60% more of it", fat-free mass, with less sleep: "body weight minus fat", "not a measure of muscle alone". It cites the paper as "Insufficient sleep undermines dietary efforts to reduce adiposity".

Why, and the source

Nedeltcheva et al. 2010 was a "Randomized two-period two-condition crossover study" of "10 overweight nonsmoking adults (3F/7M)": each spent 14 days on "the same individualized diet" with 8.5 hours in bed and 14 days with 5.5 (they slept 7 h 25 min and 5 h 14 min on average). Loss of fat-free body mass, calculated as body weight minus body fat, was 60% greater with less sleep, and the authors note that "lean tissue is mostly water". Muscle was not measured on its own, and the authors' own estimate puts the energy deficits at about 520 and 920 kcal a day, not the same. The paper's title is "Insufficient sleep undermines dietary efforts to reduce adiposity". Source: Nedeltcheva AV, Kilkus JM, Imperial J, Schoeller DA, Penev PD. Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010;153(7):435-441.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

Two sleep claims described a dieting trial's fat-free mass as muscle and lean mass, and a crossover as two groups

ClaimDoes Sleep Deprivation Lower Testosterone? ClaimHow Much Sleep Do You Actually Need to Build Muscle?

What it said

The pages said short sleep "shifted the majority of weight lost during a diet from fat to lean tissue", "60% more lean mass", "Both groups lost about three kilograms", "adequate sleep produced 56% fat loss", and called it "the most controlled study on sleep and dieting".

What it says now

They say "60% more fat-free mass", that "Fat-free mass is not muscle alone", that the same ten people ate the same diet twice, and that with 8.5 hours in bed "56% of the weight lost was fat".

Why, and the source

Nedeltcheva et al. (2010) was a "Randomized two-period two-condition crossover study" of 10 adults on "the same individualized diet" with 8.5 or 5.5 hours in bed. Loss of fat-free body mass, calculated as body weight minus body fat, was 60% greater with less sleep, and the authors note that "lean tissue is mostly water". The fraction of weight lost as fat was 56% and 25%. Source: Nedeltcheva AV, Kilkus JM, Imperial J, Schoeller DA, Penev PD. Insufficient sleep undermines dietary efforts to reduce adiposity. Ann Intern Med. 2010;153(7):435-441.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A belly-fat Short counted two sleep studies that measured no belly fat as trials showing visceral fat gain

ShortYour Belly Fat Has a Cortisol Factory Inside It

What it said

The Short said "In three controlled experiments — each independently testing what happens to body fat when sleep is cut short — visceral fat increased significantly", that "in all three, cortisol levels did not change", and that the finding was "Confirmed by two concordant RCTs (Leproult 2011, Nedeltcheva 2010)."

What it says now

It says one controlled experiment measured belly fat, and that "Two other sleep trials found no rise in cortisol either, but neither measured belly fat".

Why, and the source

Leproult and Van Cauter (2011) measured testosterone, cortisol, sleep stages and vigor over a fixed-order week of 5-hour bedtimes, not body fat, and the study was not randomized. Nedeltcheva et al. (2010) measured the loss of fat and fat-free mass during a diet, with body fat measured by dual X-ray absorptiometry, not visceral fat; 24-hour cortisol did not differ. Only one trial on the page measured visceral fat. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A nap Short explained growth hormone during deep sleep from a study that measured no growth hormone

ShortWhat Napping Actually Does for Muscle Recovery

What it said

The Short said "Growth hormone releases in its largest pulses during deep sleep — the phase the body shields first when total sleep hours get cut. A nap long enough to include a full sleep cycle reaches that window.", resting it on a testosterone study.

What it says now

It says that in a week of five-hour nights, deep sleep "rose nine minutes a night" while stage-2 and REM sleep fell, and "That study measured no growth hormone."

Why, and the source

Leproult and Van Cauter (2011) assayed "total testosterone and cortisol"; they found that, per restricted night, stage 2 sleep fell 2 hours 45 minutes and REM 1 hour 3 minutes while stages 3 and 4 rose 9 minutes. They measured no growth hormone and no naps. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

Two sleep Shorts cited a sleep-loss trial in the wrong journal, with another paper's DOI or none, and under titles it does not have

ShortSleep Loss Turned Up the Volume on Your Soreness ShortWhat Napping Actually Does for Muscle Recovery

What it said

One Short cited Lamon et al. 2021 in "J Physiology, 599(3), 903–919" with the DOI 10.1113/JP280726 and as "The effects of sleep deprivation on muscle protein synthesis"; the other cited it in "The Journal of Physiology", with no DOI, as "Sleep deprivation and muscle protein synthesis".

What it says now

Both cite "The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment", Physiological Reports, DOI 10.14814/phy2.14660.

Why, and the source

The paper was published in Physiol Rep 2021;9(1):e14660, doi 10.14814/phy2.14660, under the title "The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment". The other DOI is not the one the paper prints. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

Two sleep Shorts described a one-night sleep-loss trial of men and women as a study of men

ShortOne Sleep Study Became the Internet’s Testosterone Verdict ShortSleep Loss Turned Up the Volume on Your Soreness

What it said

One Short reported the trial's testosterone fall "in resistance-trained males"; another described its sample as "13 healthy males" and listed a "Male-only sample" as a limitation.

What it says now

They describe "13 healthy young adults (7 men, 6 women)", and the second lists the trial as "Not powered to compare sexes."

Why, and the source

Lamon et al. (2021) studied "Healthy young adults (N = 13; seven male, six female)", students aged 18 to 35, and note that "the study was not powered to formally compare sexes". Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

Two Shorts told a sleep-loss trial with no exercise as showing slower repair after a workout, and as a deficit a nap cannot undo

ShortSleep Loss Turned Up the Volume on Your Soreness ShortWhat Napping Actually Does for Muscle Recovery

What it said

One Short said sleep loss "slowed how fast muscles converted protein into repair", "confirming independently that recovery genuinely slows", and that "The same workout produces more perceived soreness AND slower actual repair". The other said the drop came "even with adequate protein" and that "The nap can't undo that kind of deficit."

What it says now

The first says the trial had no workout, that it measured "muscle building after meals, not recovery from a workout", and that the two effects "were measured in separate studies"; the second says the drop came "after the same standardized meals" and "That trial did not test a nap."

Why, and the source

Lamon et al. (2021) measured the rate of muscle protein synthesis between 13:00 and 15:00, after standardized meals, on the day after one night of total sleep deprivation; participants refrained from strenuous exercise before each trial, and the protocol had no workout and no nap. It did not measure repair of exercise damage, and it did not test whether the protein was "adequate". Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A sleep Short described what a meta-analysis of sleep loss and testosterone pooled, and credited it with a fall it did not report

ShortOne Sleep Study Became the Internet’s Testosterone Verdict

What it said

The Short said partial sleep deprivation, "cutting sleep to five or six hours", did not lower testosterone "across the pooled evidence from every controlled study on the topic", that the one-week study behind the viral claim "didn't hold up across the broader evidence base", its social title said "Your 5-Hour Sleep Isn't Crashing Your Testosterone", and its chart showed a fall of "~25%" for total deprivation, credited to the meta-analysis.

What it says now

It says the meta-analysis pooled "six partial-deprivation studies" of "four or five hours a night for a night to a week", that the one-week study "is one of those six", that whether longer stretches matter "remains unclear", and its chart says total deprivation "testosterone dropped significantly". Its social title reads "Your 5-Hour Nights Probably Aren't Crashing Your Testosterone".

Why, and the source

Su et al. (2021) included 18 studies of 252 men; "Six studies involving 98 men" tested partial sleep deprivation, at 4 to 5 hours a night for 24 hours to a week, and the one-week study of Leproult and Van Cauter (2011) is one of them. The pooled effect was not significant, and the authors note that "it remains unclear whether the prolonged period of partial sleep deprivation influences the male testosterone levels". They report standardized mean differences, not a percentage; the 24% fall the chart showed is from a single trial (Lamon et al. 2021). Source: Su L, Zhang S-z, Zhu J, Wu J, Jiao Y-z. Effect of partial and total sleep deprivation on serum testosterone in healthy males: a systematic review and meta-analysis. Sleep Med. 2021;88:267-273.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A soreness Short described a testosterone study as five nights of short sleep and credited it with a repair mechanism

ShortSleep Loss Turned Up the Volume on Your Soreness

What it said

Its research box said "Five nights of 5 h sleep", "Testosterone promotes muscle repair and modulates the immune response involved in DOMS resolution", and called the study "Supporting evidence that sleep restriction impairs hormonal recovery environment."

What it says now

It says "3 nights of 10-hour bedtimes, then 8 nights of 5-hour bedtimes; blood drawn after the seventh", and "Soreness, repair and immune markers were not measured."

Why, and the source

Leproult and Van Cauter (2011) gave 3 nights of 10-hour bedtimes, then 8 nights of 5-hour bedtimes, with blood sampled after the seventh 5-hour night; they measured testosterone, cortisol, sleep and vigor. The letter says nothing about muscle repair, immune responses or soreness. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

Sleep Shorts said cortisol never moved after a sleepless night, and that stress was ruled out as the cause of lower testosterone

ShortOne Sleep Study Became the Internet’s Testosterone Verdict ShortAdrenal Fatigue: 58 Studies, Zero Evidence ShortMeditation Targets Cortisol. Cortisol Targets Belly Fat. The Numbers Tell a Different Story.

What it said

One Short said that after one night of zero sleep, cortisol "never moved" and "the cortisol curves ran the same pattern", and that "cortisol levels were identical"; it also said the testosterone effect "is not stress-mediated". Another said testosterone dropped "under chronic sleep stress — cortisol, again, unmoved", and a third said the finding was "confirming stress impacts body-composition hormones independently of cortisol".

What it says now

The first now says that after a week of five-hour nights, daytime cortisol was similar to the rested days, and that after one night with no sleep, cortisol ran 21% higher, "so a stress pathway can't be ruled out there". The other two say only that daytime cortisol stayed similar after the week of five-hour nights, and one adds that the study "measured hormones, not body composition".

Why, and the source

Leproult and Van Cauter (2011) studied a week of 5-hour bedtimes: "Daytime cortisol profiles were similar under both conditions", and the decline came "not with increased levels of cortisol". After one night of total sleep deprivation, Lamon et al. (2021) found plasma cortisol 21% higher from 10:00 to 16:00. The null result belongs to the week of short nights, not to the sleepless night, and neither study tested whether stress causes the testosterone fall. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

Two Shorts cited a testosterone study under titles it does not have

ShortSleep Loss Turned Up the Volume on Your Soreness ShortWhat Napping Actually Does for Muscle Recovery

What it said

One Short cited Leproult et al. 2011 as "Effect of sleep restriction on testosterone levels in healthy young men", the other as "Sleep deprivation and testosterone".

What it says now

Both cite "Effect of 1 Week of Sleep Restriction on Testosterone Levels in Young Healthy Men" by Leproult & Van Cauter.

Why, and the source

The research letter by Rachel Leproult and Eve Van Cauter (JAMA 2011;305(21):2173-2174, doi 10.1001/jama.2011.710) is titled "Effect of 1 Week of Sleep Restriction on Testosterone Levels in Young Healthy Men". Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

A sleep Short credited a week-long testosterone study with comparing its result to a decade of aging

ShortOne Sleep Study Became the Internet’s Testosterone Verdict

What it said

The Short said a week of five-hour nights lowered testosterone "the hormonal equivalent, a 2011 study in JAMA claimed, of aging a decade or more", and its audio said "The aging equivalent? A decade. Maybe more."

What it says now

It says the study "set the drop against normal aging, which lowers testosterone by one to two percent a year: at that rate, five to fifteen years' worth".

Why, and the source

Leproult and Van Cauter (2011) found daytime testosterone 10 to 15% lower in ten young men after a week of 5-hour bedtimes, and wrote: "By comparison, normal aging is associated with a decrease of testosterone levels by 1% to 2% per year." They gave no number of years; five to fifteen years is our arithmetic on that comparison. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 Rule 30 sweep of Leproult & Van Cauter 2011 (pages read in full against Mark's re-paste), drafted by Q620 with the pages' other pasted sources

The protein guide said muscles build in one wave per meal of 30 grams or more, and put average breakfast protein at 15 grams instead of the 13 its distribution trial cites

GuideProtein Intake: What 9 Studies Found (and What the Internet Added)

What it said

The guide said "your muscles build in waves — each meal above the threshold triggers one building window. Three meals with at least 30 grams each give you three waves instead of one", and "National survey data shows the average person gets roughly 15 grams of protein in the morning".

What it says now

It says that in the distribution trial "about 30 grams at each of three meals stimulated muscle protein synthesis over 24 hours more effectively than the same protein skewed toward the evening meal", and that US survey data "put the average adult breakfast at about 13 grams of protein, against 38 at dinner".

Why, and the source

Mamerow et al. (2014) measured muscle protein synthesis over 24 hours and after breakfast; they did not measure one building window per meal. In the 12-hour trial on the same guide (Trommelen et al. 2023), a single 100-gram dose gave "a greater and more prolonged (>12 h) anabolic response" than 25 grams, and its authors write that advice to spread protein evenly is "based entirely on the belief that the muscle protein synthetic response to ingestion of a single bolus of protein has a ceiling and is short lived". The guide named no source for its "roughly 15 grams"; the survey data its distribution trial cites (US national data, NHANES 2009-2010, as cited by Mamerow et al.) give "13 g protein" at breakfast and "38 g protein" at dinner for adults. Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic)

Two protein pages said a light or skipped meal leaves muscle with nothing to build from

ShortProtein on Rest Days Isn’t for Recovery. It’s for Construction. GuideProtein Intake: What 9 Studies Found (and What the Internet Added)

What it said

A rest-day protein Short's audio said "Skip one and the crew is working with nothing to build from." The protein guide said a low-protein breakfast is below a threshold "so your body is running without fuel until lunch".

What it says now

The Short says "Go light at one, and that meal builds less", and both pages now give the distribution trial's result: muscle protein synthesis after a 30-gram breakfast was about 30% higher than after a 10-gram one.

Why, and the source

In the 12-hour trial (Trommelen et al. 2023), amino acids from the body's own proteins supplied most of the amino acids built into muscle protein after a protein drink: 91% after 25 g and 73% after 100 g. The distribution trial (Mamerow et al. 2014) did not test a skipped meal; it compared a 30-gram breakfast with a 10-gram one, and muscle protein synthesis was about 30% higher after the larger one. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic)

A rest-day protein Short said rest days need the same protein as training days, under a study that measured one training day

ShortProtein on Rest Days Isn’t for Recovery. It’s for Construction.

What it said

The Short said "Rest days are active construction periods that need the same protein intake as training days to keep building on schedule" under a source line naming only Trommelen et al. 2023, answered "Yes, protein on rest days is essential for muscle growth", and said "The evidence points to yes" to eating the same protein on rest days as on training days. Its pull-quote, shown as based on Trommelen et al. 2023, was a line about a skipped morning shake.

What it says now

It says "No study here compared rest days with training days", gives the advice of the ISSN position stand on nutrient timing, and adds that the 12-hour trial's authors see "larger but less frequent meals as a viable alternative". The pull-quote now gives that trial's finding.

Why, and the source

Trommelen et al. (2023) measured the 12 hours after one protein drink taken after one workout, in healthy young men; no study on the page compared rest days with training days. The advice the page now gives comes from the ISSN position stand on nutrient timing (Kerksick et al. 2017): muscles stay sensitized to protein for at least 24 hours after resistance training, and meeting daily protein is a primary area of emphasis. Trommelen's authors write that their findings "provide evidence to support more flexibility in feeding patterns" and explain "why larger but less frequent meals are a viable alternative to consuming smaller meals more frequently". Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic)

Two protein pages told a crossover trial of eight adults as two groups, and its higher protein synthesis rate as more muscle built

ShortProtein on Rest Days Isn’t for Recovery. It’s for Construction. GuideProtein Intake: What 9 Studies Found (and What the Internet Added)

What it said

A rest-day protein Short said "Two groups ate the exact same daily protein" and "The even group built 25% more muscle over 24 hours", that the result held "ruling out a novelty effect", and in its audio "which rules out a fluke" and "The same diet, spread differently"; its capsule compared even meals with "loading protein at one meal". The protein guide's audio said that spreading protein "builds about 25 percent more muscle over 24 hours than loading it all at dinner", and the guide called the two diets "Same food. Same grams."

What it says now

The Short says "eight adults who were physically active but not athletically trained ate about the same daily protein two ways, a week each", and that spread evenly "their muscle protein synthesis over 24 hours ran about 25% higher" than when protein was loaded toward dinner. The guide says spreading it "gave about 25 percent higher muscle protein synthesis over 24 hours than loading it toward dinner", and "Same calories. Same grams."

Why, and the source

Mamerow et al. (2014) used "a 7-d crossover feeding design": the same 8 adults (5 men and 3 women, "physically active but not athletically trained") ate both diets, with similar daily protein (90-94 g), skewed toward dinner in one of them (about 10, 15 and 65 g). The two diets were "isoenergetic and isonitrogenous", but their meals differed: "dietary fat intake was manipulated to ensure that the total daily energy consumption remained similar for each diet." They measured the rate of muscle protein synthesis, "25% higher" over 24 hours with protein spread evenly, a pattern "maintained after 7 d of habituation". They did not measure muscle gained, and write that "modest, acute differences in 24-h muscle protein synthesis cannot be expected to precipitate changes in muscle mass or function over a period of weeks or perhaps months." Source: Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary Protein Distribution Positively Influences 24-h Muscle Protein Synthesis in Healthy Adults. J Nutr. 2014;144(6):876-880.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic)

A rest-day protein Short quoted the ISSN position stand on nutrient timing under the title and DOI of another paper

ShortProtein on Rest Days Isn’t for Recovery. It’s for Construction.

What it said

The Short cited "ISSN exercise & sports nutrition review update: research & recommendations" (DOI 10.1186/s12970-018-0242-y) for its two quotes on protein timing, called it "field consensus", and said it names daily protein "the primary emphasis for anyone who trains".

What it says now

It cites "International society of sports nutrition position stand: nutrient timing" (DOI 10.1186/s12970-017-0189-4) and says the stand names meeting daily protein, preferably spread evenly, "a primary area of emphasis for anyone who trains".

Why, and the source

Both quoted sentences are in the ISSN position stand on nutrient timing (Kerksick et al., J Int Soc Sports Nutr 2017;14:33): "research shows that muscles remain sensitized to protein ingestion for at least 24 h following a resistance training bout" and "Meeting the total daily intake of protein, preferably with evenly spaced protein feedings (approximately every 3 h during the day), should be viewed as a primary area of emphasis for exercising individuals." The title and DOI the page gave are not the stand's. The stand describes itself as "an objective and critical review regarding the timing of macronutrients" and as "the official position of the Society"; it does not call itself a consensus, and it notes that "the number of studies that have truly examined a timing question is rather scant". Source: Kerksick CM, Arent S, Schoenfeld BJ, Stout JR, Campbell B, Wilborn CD, Taylor L, Kalman D, Smith-Ryan AE, Kreider RB, Willoughby D, Arciero PJ, VanDusseldorp TA, Ormsbee MJ, Wildman R, Greenwood M, Ziegenfuss TN, Aragon AA, Antonio J. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic)

A sleep study was described as cutting only morning sleep, and a later team's timing idea as a finding

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree. ClaimDoes Sleep Deprivation Lower Testosterone?

What it said

The study page said the participants "lost their morning sleep — the window when testosterone production peaks" and that "The testosterone drop in this study concentrated in the morning sleep hours", and its chart drew an "Early alarm" with the morning cut. The claim said "They lost their morning hours" and that "the body's testosterone surge happens in the final stretch of a full night".

What it says now

Both pages now say the study moved bedtime from 10 PM to 12:30 AM and the alarm from 8 AM to 5:30 AM, cutting "both ends" of the night. The study page says the drop "was measured in waking hours and was most apparent between 2 PM and 10 PM", and both say that the idea that waking earlier matters more is a hypothesis the later team raised, which "neither of their studies tested". The chart was retired.

Why, and the source

In Leproult and Van Cauter (2011), the rested nights were "10-hour bedtimes (from 10 PM to 8 AM; rested condition)" and the restricted nights "5-hour bedtimes (from 12:30 AM to 5:30 AM; sleep restriction)", so bedtime moved 2.5 hours later as well as the alarm 2.5 hours earlier. Testosterone was compared "During waking hours common to both conditions (8 AM-10 PM)", and the effect "was especially apparent between 2 PM and 10 PM". The timing idea is Smith et al. (2019), who "postulate" from an earlier study that "It is plausible that SR lowers testosterone concentrations only after an advance in participant wake time"; their own four-hour study "combined a delay in bedtime and an advance in wake time" and found no significant effect on testosterone. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

Three sleep pages credited a testosterone study with an aging comparison in years that it never made

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree. ClaimDoes Sleep Deprivation Lower Testosterone? ClaimHow Much Sleep Do You Actually Need to Build Muscle?

What it said

The study page's title was "One Week of Bad Sleep Aged Your Testosterone by a Decade" and it said "One week did what a decade does". The claims said the authors "compared it to five to fifteen years of normal aging" and called it "a decline the authors compared to five to fifteen years of aging".

What it says now

The study's title is "One Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree." The pages say the researchers set the drop against normal aging, "which lowers testosterone by 1 to 2 percent a year", and mark five to fifteen years as FitChef's arithmetic on that rate.

Why, and the source

The letter reports that "Daytime testosterone levels were decreased by 10% to 15%" after a week of 5-hour bedtimes and adds: "By comparison, normal aging is associated with a decrease of testosterone levels by 1% to 2% per year." It gives no number of years; five to fifteen years is that rate divided into the drop. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

Two later sleep studies were described as built to test a famous testosterone finding, and as finding nothing

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree. ClaimDoes Sleep Deprivation Lower Testosterone? ClaimHow Much Sleep Do You Actually Need to Build Muscle?

What it said

The pages said the two studies were "specifically designed to test what Leproult found" and "came up empty", that "Neither found a significant effect on testosterone", and described the men as young and healthy.

What it says now

They say both studies "were built to study energy balance", that the authors write neither was powered to detect a change in testosterone, that "The four-hour study found no significant effect on testosterone", and that in the six-week study levels "ran slightly lower during restriction in one statistical model but not in another", a change the authors judged not clinically meaningful. The men were 30 to 45 and 20 to 40.

Why, and the source

Smith et al. (2019) write that "neither experiment presented herein was designed to assess the impact of SR on circulating testosterone. Rather, those studies were designed to assess the impact of SR on energy balance regulation" and that "neither study was powered to detect changes in plasma testosterone levels". Study 1 showed no significant effect of sleep condition (P = 0.13). In Study 2 the model gave a main effect of sleep condition (P = 0.0046), with lower values during restriction, and "The significance of SR disappeared if near significant carryover effect was removed from the model"; the authors judged the changes "not clinically meaningful". Study 1 enrolled men aged 30 to 45; Study 2 men aged 20 to 40 who were overweight or had a parent with obesity. Source: Smith I, Salazar I, RoyChoudhury A, St-Onge MP. Sleep restriction and testosterone concentrations in young healthy males: Randomized controlled studies of acute and chronic short sleep. Sleep Health. 2019;5(6):580-586.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A sleep-restriction paper was cited under a wrong first name and journal, and on another page as Reynolds 2019

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree. ClaimHow Much Sleep Do You Actually Need to Build Muscle?

What it said

The study page credited "a team led by Iva Smith" and listed the paper in "Sleep Medicine" with no DOI; the synthesis claim called it "Reynolds 2019 RCT".

What it says now

The study page credits "Isaac Smith and colleagues" and lists the paper in Sleep Health with its DOI, 10.1016/j.sleh.2019.07.003; the claim cites it as Smith 2019.

Why, and the source

The paper was published in Sleep Health, 2019;5(6):580-586, doi 10.1016/j.sleh.2019.07.003, by Isaac Smith, Ismel Salazar, Arindam RoyChoudhury and Marie-Pierre St-Onge, the principal investigator of both studies. Reynolds et al. 2012 is a different study, one of those Su et al. (2021) pooled. Source: Smith I, Salazar I, RoyChoudhury A, St-Onge MP. Sleep restriction and testosterone concentrations in young healthy males: Randomized controlled studies of acute and chronic short sleep. Sleep Health. 2019;5(6):580-586.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A testosterone meta-analysis was described as eighteen studies of partial sleep loss; six were

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree. ClaimDoes Sleep Deprivation Lower Testosterone? ClaimHow Much Sleep Do You Actually Need to Build Muscle?

What it said

The pages said a meta-analysis "pooling data from eighteen studies and 252 men" found no significant effect of partial sleep deprivation, that the famous signal "didn't survive when the evidence base got wider", and the study page's chart set 10 men against 252.

What it says now

They say the meta-analysis covered 18 studies and 252 men, of which "six studies of partial sleep deprivation" with 98 men, the 2011 study among them, showed no significant effect, while total deprivation lowered testosterone. The chart sets 10 men against 98.

Why, and the source

Su et al. (2021) included "Eighteen studies involving 252 men". "Six studies involving 98 men compared the levels of serum testosterone in partial sleep deprivation versus control", with no significant pooled effect (P = 0.13), and Leproult 2011 is one of the six in the paper's table. "Thirteen studies involving 162 men" compared total sleep deprivation, which reduced testosterone. Source: Su L, Zhang S-z, Zhu J, Wu J, Jiao Y-z. Effect of partial and total sleep deprivation on serum testosterone in healthy males: a systematic review and meta-analysis. Sleep Med. 2021;88:267-273.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A testosterone study's protocol and measures were described inaccurately

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree. ClaimDoes Sleep Deprivation Lower Testosterone?

What it said

The pages said the men spent "three nights sleeping ten hours, then eight nights sleeping five", that blood was drawn "around the clock", "Same food", "in their early twenties", that deep sleep "stayed roughly the same", that the 2 PM to 10 PM window "is where testosterone does its most visible work", and that the drop "concentrated between 2 PM and 10 PM", where it was stronger "than the full-day average".

What it says now

They say the men had ten hours in bed, then five, sleeping "8 hours 55 minutes a night, then 4 hours 48 minutes", that blood was drawn every 15 to 30 minutes "for 24 hours" twice, a mean age of 24.3, that deep sleep "rose slightly, by 9 minutes", and that the drop "was strongest between 2 PM and 10 PM", compared with "all waking hours".

Why, and the source

The letter gives 3 nights of 10-hour bedtimes followed by 8 nights of 5-hour bedtimes, total sleep falling "from 8 hours 55 minutes (35 min) to 4 hours 48 minutes", blood sampling "every 15 to 30 minutes for 24 hours" after the second 10-hour night and after the seventh 5-hour night, a mean age of 24.3 (SD 4.3), and a gain of 9 minutes of stage 3 + 4 sleep (P = .01). Testosterone was lower "During waking hours common to both conditions (8 AM-10 PM)", and "The effect of restricted sleep was especially apparent between 2 PM and 10 PM". It says nothing about food and gives no role for the 2 PM to 10 PM window. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A study page said a testosterone drop was not permanent, citing rested days that came before it

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree.

What it said

Asked whether lack of sleep permanently lowers testosterone, the page answered "The study's own design suggests it doesn't" because the men "showed normal testosterone levels during the full-sleep phase", and said the decline "may reverse when sleep recovers".

What it says now

It answers "This study can't say": the rested days came before the restricted week, and testosterone was not measured after it.

Why, and the source

The participants had 3 nights of 10-hour bedtimes followed by 8 nights of 5-hour bedtimes, and blood was sampled "after the second 10-hour night and after the seventh 5-hour night". No measurement followed the restriction, and the letter reports no "normal" level. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

Similar daytime cortisol was described as stress hormones in general and as ruling out a stress mechanism

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree. ClaimDoes Sleep Deprivation Lower Testosterone?

What it said

The pages said "Stress hormones stayed similar in both conditions", that the decline "wasn't driven by a stress response", that the finding was "suggesting the mechanism is not stress-mediated", and that it "Rules out stress as mechanism".

What it says now

They say cortisol, "a stress hormone that can inhibit testosterone production", did not rise: "daytime cortisol profiles were similar in both conditions".

Why, and the source

The letter measured "total testosterone and cortisol" and reports "Daytime cortisol profiles were similar under both conditions"; the decline "was associated with lower vigor scores but not with increased levels of cortisol, a stress-responsive hormone that can inhibit gonadal function". It measured no other stress hormone and tested no mechanism. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A study page described 28 people consenting and ten finishing as a high dropout rate

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree.

What it said

It said "Twenty-eight men consented. Ten completed the study." and called that a "dropout rate", adding "The eighteen who left may have been less able to tolerate eleven days in a sleep lab".

What it says now

It says "Twenty-eight people consented. Ten men passed every screening test and completed the study." and that the letter does not say how many of the other eighteen failed screening and how many left.

Why, and the source

The letter: "Written informed consent was obtained from 28 persons. Ten men passed all screening tests and completed the study". It does not say how many failed screening and how many dropped out. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A claim said a P value of .049 missed .05 by one hundredth; the gap is one thousandth

ClaimDoes Sleep Deprivation Lower Testosterone?

What it said

It said "One hundredth of a point separated that headline from a non-result", and in its audio "one hundredth of a point".

What it says now

It says "One thousandth of a point separated that headline from a non-result."

Why, and the source

The letter reports P = .049 for daytime testosterone, against a significance level of .05; .05 minus .049 is .001. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

Two sleep claims described a one-night sleep-loss trial as testing what it did not, and as applying to both sexes alike

ClaimDoes Sleep Deprivation Lower Testosterone? ClaimHow Much Sleep Do You Actually Need to Build Muscle?

What it said

One claim said "eating more protein didn't fix it" and that the evidence "applies regardless of sex"; the other said "The protein was sitting right there in the bloodstream", "despite having the same amino acids available", and "Your body didn't tear muscle down. It just couldn't build it up."

What it says now

They say the same meals gave a lower synthesis rate, that "breakdown itself was not measured", that the muscle-building result "comes from a night without any sleep", and that "every man's synthesis fell and not every woman's did".

Why, and the source

Lamon et al. (2021) gave the same standardized breakfast and lunch in both conditions and tested no extra protein; the authors call for nutrition interventions to be studied. Plasma tracer enrichment was reported for four volunteers, and amino acid levels were not compared. Gene markers of muscle protein degradation were assessed once, at 13:00, and "did not change"; breakdown itself was not measured. The night was one of total sleep deprivation, and "All male, but not female, participants experienced a numerical decrease in protein synthesis". Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A sleep claim described a five-night exercise trial as a week, as a proven rescue, and as showing hormones and performance stay down

ClaimHow Much Sleep Do You Actually Need to Build Muscle?

What it said

It said the men trained "during a week of four-hour nights", "Same suppression. Same mechanism.", that exercise is "the one thing proven to protect the muscle-building machinery", and that "The hormonal and performance degradation persist."

What it says now

It says three sessions of interval cycling during "five nights of four hours in bed" kept synthesis at the normal-sleep group's level, "in one study of 24 men that did not measure muscle mass", and that "the study did not measure hormones, performance or muscle mass".

Why, and the source

Saner et al. (2020) studied 24 young men over "a five-night intervention period", with three sessions of high-intensity interval exercise, each "10 × 60 s intervals performed on a cycle ergometer". They measured myofibrillar protein synthesis with deuterium oxide and molecular markers, and "the present study did not employ direct measurements of changes in muscle mass". They measured no hormones and no performance. Source: Saner NJ, Lee MJ-C, Pitchford NW, Kuang J, Roach GD, Garnham A, Stokes T, Phillips SM, Bishop DJ, Bartlett JD. The effect of sleep restriction, with or without high-intensity interval exercise, on myofibrillar protein synthesis in healthy young men. J Physiol. 2020;598(8):1523-1536.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A sleep claim described a performance meta-analysis's strength-endurance tasks as the sets that build muscle

ClaimHow Much Sleep Do You Actually Need to Build Muscle?

What it said

It said "the moderate-rep sets that actually drive hypertrophy" drop 9.85%, labelled them "Growth work", said "your one-rep max drops about" 2.85%, that "strength-endurance hit hardest", and gave "about a 5.6% tax on every rep".

What it says now

It says strength-endurance tasks are "repeated reps or sustained contractions", from "only five studies of 62 men", that "Whether that hits the training that builds muscle was not measured", and gives the authors' own example of about 5% after 12 hours awake.

Why, and the source

Craven et al. (2022) define strength-endurance as a resistance task of 2 or more repetitions or a sustained contraction over 5 s (for example repetitions at 85% of 1RM), from "Five studies (n = 62; 100% male), providing nine outcome measures", an effect that was "unstable during one-out analyses". Strength covered 1RM and maximum-contraction tests. Skill fell most, by 20.9%. The review measured performance, not muscle growth; its own example is about a 5% decrease 12 hours after rising at about 3 AM. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A sleep claim said 23 studies found zero negative effect of evening exercise on sleep

ClaimHow Much Sleep Do You Actually Need to Build Muscle?

What it said

It said "23 studies found zero negative effect" and "showed zero negative effect".

What it says now

It says a review of 23 studies of one evening session "found no harm to sleep overall", "except possibly after vigorous exercise very close to bedtime".

Why, and the source

Stutz et al. (2019) reviewed single sessions of evening exercise. The studies "do not support the hypothesis that evening exercise negatively affects sleep", but "sleep-onset latency, total sleep time, and SE might be impaired after vigorous exercise" ending an hour or less before bedtime. Source: Stutz J, Eiholzer R, Spengler CM. Effects of Evening Exercise on Sleep in Healthy Participants: A Systematic Review and Meta-Analysis. Sports Med. 2019;49:269-287.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A sleep claim counted a testosterone study as clear damage to muscle building

ClaimHow Much Sleep Do You Actually Need to Build Muscle?

What it said

It said "The evidence shows clear damage at zero hours (Lamon) and four to five hours per night (Saner, Leproult)", that short sleep degrades the conditions muscle needs "at the cellular level, the hormonal level, and the training level", and that "damage is proven at zero to five hours".

What it says now

It says "at five hours (Leproult), only testosterone was measured, the most contested level", and that the hormonal level is contested.

Why, and the source

Leproult and Van Cauter (2011) measured testosterone, cortisol, sleep stages and vigor in ten men; they measured no muscle outcome. The page's own meta-analysis (Su et al. 2021) found no significant effect of partial sleep deprivation on testosterone. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

Two testosterone pages described a borderline P value as the line between a real finding and noise

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree. ClaimDoes Sleep Deprivation Lower Testosterone?

What it said

The study page said the result "barely cleared the statistical threshold that separates a real finding from noise" and that "It means the finding is real in this group of ten men". The claim called .05 the cutoff for what "counts as real", said the result "barely cleared the line that separates a real finding from noise", and that "The famous number is real in one carefully controlled study".

What it says now

They say the result "barely cleared the study's threshold for statistical significance", that "the study's cutoff for statistical significance was .05", and that the famous number "comes from one carefully controlled study".

Why, and the source

Leproult and Van Cauter (2011) compared the two conditions "using 2-sided nonparametric Wilcoxon tests with a significance level of .05" and report P = .049 for testosterone across waking hours, so the result passed that level by .001. Passing a significance level does not show that a finding is real. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

Two testosterone pages said the symptoms of low testosterone are effects of short sleep; the study says they may be

StudyOne Week of Five-Hour Nights Lowered Testosterone 10–15%. Other Studies Disagree. ClaimDoes Sleep Deprivation Lower Testosterone?

What it said

The study page said "those same symptoms are textbook consequences of sleeping five hours a night". The claim said they "are also the direct symptoms of sleeping five hours a night", that each "is also a direct symptom of sleep deprivation, regardless of testosterone levels", and that "the symptoms are more likely from sleep deprivation itself".

What it says now

Both pages now say, as the study's authors note, that these symptoms "may be produced by sleep deprivation".

Why, and the source

Leproult and Van Cauter (2011) write: "Symptoms and signs of androgen deficiency include low energy, reduced libido, poor concentration, and increased sleepiness, all of which may be produced by sleep deprivation in healthy individuals." They did not test it: the study measured testosterone, cortisol, sleep and vigor. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q606 sweep of Leproult & Van Cauter 2011 and Mark's paste of Smith et al. 2019 (backlog/Q606_LEPROULT_2011_SWEEP.md), with each page read in full against every pasted or waived source, drafted by Q621

A pre-sleep protein Short credited the ISSN protein stand with advice and a whey claim it does not make

ShortProtein Before Bed Builds Muscle. Probably Not for the Reason You Think.

What it said

The Short said the stand "recommends 30-40g of casein protein before sleep", "without affecting fat loss", "without affecting fat burning", "Whey works too — casein is preferred because its slower digestion better matches the 8-hour overnight period", and called the stand "Authority consensus".

What it says now

It quotes the stand: "Pre-sleep casein protein intake (30–40 g) provides increases in overnight MPS and metabolic rate without influencing lipolysis", and says that "unlike casein" whey "raised the morning respiratory quotient".

Why, and the source

The stand's point 14 reads "Pre-sleep casein protein intake (30–40 g) provides increases in overnight MPS and metabolic rate without influencing lipolysis." Its pre-sleep section reports that the morning respiratory quotient "was unchanged only for the placebo and casein protein trials, while both carbohydrate and whey protein were increased", which "infers that casein protein consumed pre-sleep maintains overnight lipolysis and fat oxidation". It does not say whey works as well, or mention an 8-hour night, and it calls itself "an objective and critical review". Source: Jäger R, Kerksick CM, Campbell BI, Cribb PJ, Wells SD, Skwiat TM, Purpura M, Ziegenfuss TN, Ferrando AA, Arent SM, Smith-Ryan AE, Stout JR, Arciero PJ, Ormsbee MJ, Taylor LW, Wilborn CD, Kalman DS, Kreider RB, Willoughby DS, Hoffman JR, Krzykowski JL, Antonio J. International Society of Sports Nutrition Position Stand: protein and exercise. J Int Soc Sports Nutr. 2017;14:20.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A pre-sleep protein Short used a meta-analysis of protein around workouts to explain protein before bed

ShortProtein Before Bed Builds Muscle. Probably Not for the Reason You Think.

What it said

The Short said that when "23 timing studies were pooled together", "the timing effect disappeared", and in its audio "When intake was equalized, the timing effect vanished", and concluded that pre-sleep protein works "because it's a strategy that reliably pushes your total daily protein higher". Its title said "Not for the Reason You Think".

What it says now

It says that in the meta-analysis "timing meant protein within an hour of a workout, not before bed", that "Where total protein was equal, a trial cited by the ISSN position stand found no difference", and that "whether bedtime adds anything on top has not been shown". Its title says "Probably Not for the Reason You Think".

Why, and the source

Schoenfeld, Aragon and Krieger (2013) defined protein timing as at least 6 g of essential amino acids within 1 hour before or after resistance exercise; they did not study protein before sleep. Total protein intake was "the strongest predictor" of hypertrophy, accounted for in a meta-regression, not equalized. Where total protein was equal, the ISSN protein stand reports an 8-week trial (Antonio et al.) with "no differences in body composition or performance between the morning and evening casein supplementation groups"; the evening group added 1.2 kg of fat-free mass against 0.4 kg, not significantly, and the stand concludes that evening protein before sleep "can potentially improve body composition and performance". Whether bedtime adds anything has not been shown either way. Source: Schoenfeld BJ, Aragon AA, Krieger JW. The effect of protein timing on muscle strength and hypertrophy: a meta-analysis. J Int Soc Sports Nutr. 2013;10:53.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A pre-sleep protein Short said the control group got nothing, and stated the trial's muscle and strength gains too broadly

ShortProtein Before Bed Builds Muscle. Probably Not for the Reason You Think.

What it said

The Short said "Half got nothing", "The protein group built 75% more quad muscle", type II fibers "grew more than twice as fast", "Total strength: 26% more gains", and in its audio "Half got twenty-seven grams of protein".

What it says now

It says the other half "drank a noncaloric placebo", that "quadriceps cross-sectional area grew 75% more", that the fibers "grew more than twice as much", that "The sum of six strength tests rose 26% more", and that "Lean mass measured by DXA did not differ between the groups."

Why, and the source

In Snijders et al. 2015, "The other group received a noncaloric placebo", and the supplement held "27.5 g of protein, 15 g of carbohydrate, and 0.1 g of fat". Quadriceps cross-sectional area rose by 8.4 against 4.8 square centimeters, and type II muscle fiber size grew more than twice as much (2319 against 1017). The sum of all 1RM measurements rose more with protein (164 against 130 kg), but leg press, leg extension, chest press, shoulder press and horizontal row gains did not differ between groups, and whole-body lean mass increased "with no differences between groups". The page also cited a shortened title; the paper's title ends "in Healthy Young Men". Source: Snijders T, Res PT, Smeets JSJ, van Vliet S, van Kranenburg J, Maase K, Kies AK, Verdijk LB, van Loon LJC. Protein Ingestion before Sleep Increases Muscle Mass and Strength Gains during Prolonged Resistance-Type Exercise Training in Healthy Young Men. J Nutr. 2015;145(6):1178-84.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A pre-sleep protein Short ruled out growth hormone and the overnight window, with no source for either

ShortProtein Before Bed Builds Muscle. Probably Not for the Reason You Think.

What it said

The Short said "the reason it works has nothing to do with what you've been told. Not growth hormone.", "you're not feeding a magic sleep window", and in its search description "Growth hormone isn't why it works."

What it says now

It says "none of the sources here measured growth hormone", and that the ISSN position stand "also reports that casein before sleep raised muscle protein synthesis overnight".

Why, and the source

No source on the page measured growth hormone. The page's own position stand (Jäger et al. 2017) reports that "30–40 g of casein protein ingested 30-min prior to sleep" "increased overnight MPS in both young and old men", so its sources did not rule out the overnight window. Source: Jäger R, Kerksick CM, Campbell BI, Cribb PJ, Wells SD, Skwiat TM, Purpura M, Ziegenfuss TN, Ferrando AA, Arent SM, Smith-Ryan AE, Stout JR, Arciero PJ, Ormsbee MJ, Taylor LW, Wilborn CD, Kalman DS, Kreider RB, Willoughby DS, Hoffman JR, Krzykowski JL, Antonio J. International Society of Sports Nutrition Position Stand: protein and exercise. J Int Soc Sports Nutr. 2017;14:20.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A pre-sleep protein Short showed a pull-quote as based on a 12-hour protein trial that it does not rest on

ShortProtein Before Bed Builds Muscle. Probably Not for the Reason You Think.

What it said

Under a caption crediting Trommelen et al. (2023), the pull-quote read "Pre-sleep protein works — not because bedtime is magic, but because it's a strategy that reliably pushes your total daily protein higher."

What it says now

It reads "After a workout and a large protein dose, muscle protein synthesis ran for more than 12 hours: measured in a lab, from the late morning to late in the evening, not overnight."

Why, and the source

The page template captions a Short's pull-quote with its first sources row, here Trommelen et al. 2023, which tested one protein drink after one workout and did not study bedtime. The old line rested on two other papers on the page (Snijders et al. 2015 and Schoenfeld et al. 2013), and neither showed why pre-sleep protein works. The new line is the 12-hour trial's finding. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A Short told a meta-analysis of sleep loss and exercise performance as 69 studies and as a weaker signal for muscle growth

ShortMuscle Building Isn’t Confined to Sleep. Losing Sleep Slows It.

What it said

The Short said "Across 69 studies and 959 participants" and "it weakens the training signal that triggers muscle growth in the first place", and cited the paper as "Sleep loss reduces exercise performance".

What it says now

It says "A meta-analysis of 69 publications (77 studies, 959 participants, 89% male)" and "It measured performance, not muscle growth", and cites the paper by its title.

Why, and the source

Craven et al. 2022, "Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review", included 227 outcome measures "derived from 69 publications", from "Seventy-seven studies (n = 959; 89% male)". It measured exercise performance, not muscle growth or any training signal. Source: Craven J, McCartney D, Desbrow B, Sabapathy S, Bellinger P, Roberts L, Irwin C. Effects of Acute Sleep Loss on Physical Performance: A Systematic and Meta-Analytical Review. Sports Med. 2022;52(11):2669-2690.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A Short said a week of short sleep lowers testosterone enough to affect muscle growth, from a study that did not measure muscle

ShortMuscle Building Isn’t Confined to Sleep. Losing Sleep Slows It.

What it said

Asked "Does chronic poor sleep lower testosterone enough to affect muscle growth?", the Short answered yes, called the fall "the hormonal equivalent of aging 5–15 years", said it "degrades the conditions your muscles need to build", and cited the study as "Sleep restriction lowers testosterone".

What it says now

It answers "No study here measured that", gives the fall as "about what 5 to 15 years of normal aging would do at the 1–2% a year the authors cite", and cites the study as "Effect of 1 Week of Sleep Restriction on Testosterone Levels in Young Healthy Men".

Why, and the source

Leproult and Van Cauter (2011) found that "Daytime testosterone levels were decreased by 10% to 15%" in ten young men after a week of 5-hour bedtimes, and compared it with normal aging, "a decrease of testosterone levels by 1% to 2% per year". They measured testosterone, cortisol, sleep and vigor, not muscle. Source: Leproult R, Van Cauter E. Effect of 1 week of sleep restriction on testosterone levels in young healthy men. JAMA. 2011;305(21):2173-2174.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A Short cited a sleep-restriction trial in the wrong journal and said exercise brought muscle building back to normal

ShortMuscle Building Isn’t Confined to Sleep. Losing Sleep Slows It.

What it said

The Short cited Saner et al. 2020 in "Med Sci Sports Exerc", with no DOI, and said "their building rate bounced back to normal", that exercise "rescued muscle protein synthesis to normal-sleep levels" and "restored myofibrillar protein synthesis to normal-sleep levels".

What it says now

It cites "J Physiol" with DOI 10.1113/JP278828, and says interval cycling "kept it at the normal-sleep group's level" and "Muscle mass was not measured."

Why, and the source

Saner et al. 2020 was published in J Physiol 2020;598(8):1523-1536, doi 10.1113/JP278828. In 24 young men in three parallel groups, myofibrillar protein synthesis was lower after five nights of 4 hours in bed, and "rates of MyoPS were maintained at control levels by performing HIIE" (10 intervals of 60 seconds on a cycle ergometer). The study had no baseline rate to compare with and "did not employ direct measurements of changes in muscle mass". Source: Saner NJ, Lee MJ-C, Pitchford NW, Kuang J, Roach GD, Garnham A, Stokes T, Phillips SM, Bishop DJ, Bartlett JD. The effect of sleep restriction, with or without high-intensity interval exercise, on myofibrillar protein synthesis in healthy young men. J Physiol. 2020;598(8):1523-1536.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A Short said muscle grows during sleep because of sleep's hormones, which no study on it measured

ShortMuscle Building Isn’t Confined to Sleep. Losing Sleep Slows It.

What it said

The Short's title was "Sleep Builds Muscle. Growth Hormone Isn't the Reason." It said "Sleep is where dietary protein actually becomes new muscle tissue", that during sleep "Testosterone stays elevated" while cortisol drops, that "sleep was its power switch", and "Every measurement points the same way".

What it says now

Its title is "Muscle Building Isn't Confined to Sleep. Losing Sleep Slows It." It says "No study here measured muscle building during sleep, or growth hormone", and that whether the hormone changes "slowed the building is open".

Why, and the source

The page's sources measured muscle protein synthesis between 13:00 and 15:00 on the day after a sleepless night (Lamon et al. 2021), for 12 hours after a daytime protein drink (Trommelen et al. 2023) and over five days and nights of restricted sleep (Saner et al. 2020); none measured growth hormone, or building during sleep on its own. Lamon et al. note "the typical increase in cortisol observed during the later stages of sleep", write that whether the low testosterone they saw "may contribute to anabolic resistance needs to be tested experimentally", and report that "All male, but not female, participants experienced a numerical decrease in protein synthesis". Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

Two sleep Shorts showed pull-quotes as based on a sleep-loss trial that were no finding of that trial

ShortSame Protein, Different Sleep, Different Muscle Building ShortMuscle Building Isn’t Confined to Sleep. Losing Sleep Slows It.

What it said

Under a caption crediting Lamon et al. (2021), one Short's pull-quote read "Every night is either a deposit or a withdrawal on every gram of protein you consumed." and the other's "Exercise provides the stimulus. Sleep provides the factory floor where the stimulus becomes tissue."

What it says now

Both now give that trial's finding: "the same meals gave an 18% lower rate of muscle protein synthesis the next afternoon" and "the rate at which muscle built new protein from the same meals was 18% lower the next afternoon".

Why, and the source

The page template captions a Short's pull-quote with the source in its first sources row, here Lamon et al. 2021. That trial measured muscle protein synthesis after one night of total sleep deprivation ("Acute sleep deprivation reduced muscle protein synthesis by 18%"); neither line was a finding of it. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A sleep Short told its source's hypothesis, and our own reading of three papers, as findings

ShortSame Protein, Different Sleep, Different Muscle Building

What it said

The Short said "The assumption is wrong.", "the connection between acute and chronic is explicit in the data", "those responses compound over weeks", that three papers "reveal that protein and sleep aren't parallel systems", and that "This three-way interaction has not been addressed by any single study or existing review."

What it says now

It says "The assumption misses a link.", that the authors' "own reading" is a hypothesis ("That is their hypothesis; this study measured one night"), and that "No study here tested the three together, so this part is our reading, not a finding".

Why, and the source

Lamon et al. 2021 write that the outcomes of chronic sleep loss "likely reflect a metabolic shift toward catabolism due to the accumulation of blunted anabolic responses to protein-containing meals and physical activity": a hypothesis, from a study of one night. No paper on the page tested sleep, protein dose and body composition together, and no source supported the claim that no study or review had done so. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A sleep Short said muscle breakdown did not change after a sleepless night, and how people felt, though neither was measured

ShortSame Protein, Different Sleep, Different Muscle Building

What it said

The Short said "muscle breakdown didn't change", "Nothing felt different the next morning", "You don't feel weaker" and "Same amino acids delivered".

What it says now

It says gene markers of muscle breakdown "did not change, but breakdown itself was not measured".

Why, and the source

Lamon et al. 2021 assessed "gene markers of muscle protein degradation" once, at 13:00, an hour after a standardized lunch, and found no difference; they note that "the consumption of a mixed meal attenuates ubiquitin-mediated proteolysis". The trial did not measure breakdown itself, how the participants felt, or how much amino acid reached the muscle. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

Two sleep Shorts told an 18% lower rate of muscle protein synthesis after one sleepless night as 18% less muscle

ShortSame Protein, Different Sleep, Different Muscle Building ShortMuscle Building Isn’t Confined to Sleep. Losing Sleep Slows It.

What it said

One Short's search title was "Sleep Made the Same Protein Build 18% Less Muscle", its title "Same Protein, Different Sleep, Different Muscle", its social card said "18% less muscle out", and it said "Sleep quality directly controls" the process. The other's social card said "One Sleepless Night Throttled Muscle Growth 18%", it called the result "a building shutdown", and its audio said "the protein sits unused".

What it says now

They say that after one night without any sleep, "the same meals gave an 18% lower rate of muscle protein synthesis the next afternoon", the first is titled "Same Protein, Different Sleep, Different Muscle Building", and the other's social card says "One Sleepless Night Slowed Muscle Protein Synthesis 18%".

Why, and the source

Lamon et al. 2021 measured the rate of muscle protein synthesis between 13:00 and 15:00 on the day after one night of total sleep deprivation: "Acute sleep deprivation reduced muscle protein synthesis by 18%". The trial did not measure muscle gained or lost, and the night was one with no sleep at all, not one of poor-quality sleep. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A sleep Short described a one-night sleep-loss trial as ten young men, measured with another trial's tracer

ShortSame Protein, Different Sleep, Different Muscle Building

What it said

The Short gave the trial as "n=10 young men" and its method as "Deuterated water stable isotope tracer, crossover RCT, n=10 young men".

What it says now

It says "n=13 young adults (7 men, 6 women)" and "L-[ring-13C6]-phenylalanine tracer infusion".

Why, and the source

Lamon et al. 2021 studied "Healthy young adults (N = 13; seven male, six female)", infused with L-[ring-13C6]-phenylalanine. Deuterated water was the tracer of a different trial (Saner et al. 2020), which the paper contrasts with its own method. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

Two sleep Shorts cited a sleep-loss trial under titles it does not have, one of them under another journal and DOI

ShortSame Protein, Different Sleep, Different Muscle Building ShortMuscle Building Isn’t Confined to Sleep. Losing Sleep Slows It.

What it said

One Short cited Lamon et al. 2021 as "Acute sleep deprivation and muscle protein synthesis" and, in its chart data, as "One night of sleep deprivation decreases the acute postprandial skeletal muscle protein synthesis response". The other cited it as "Sleep deprivation reduces muscle protein synthesis", in Med Sci Sports Exerc, with the DOI 10.1249/MSS.0000000000002739.

What it says now

Both cite it as "The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment", Physiological Reports, DOI 10.14814/phy2.14660.

Why, and the source

The paper is titled "The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment" and was published in Physiol Rep 2021;9(1):e14660, doi 10.14814/phy2.14660. The other DOI is not the one the paper prints, and none of the titles on the pages is the paper's. Source: Lamon S, Morabito A, Arentson-Lantz E, Knowles O, Vincent GE, Condo D, Alexander SE, Garnham A, Paddon-Jones D, Aisbett B. The effect of acute sleep deprivation on skeletal muscle protein synthesis and the hormonal environment. Physiol Rep. 2021;9(1):e14660.

Found by

the Q344 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 1 Shorts, logged by the Q339 draft and the Q343 skeptic), drafted by Q601

A keto Short said a ward trial found muscle loss on keto; the scan measured fat-free mass, and urine tests showed a net loss of body protein

ShortKeto Lost Weight. A DXA Scanner Found Where It Came From.

What it said

The Short said 91% of the weight lost on keto was "fat-free mass: muscle, water, and glycogen", called it "The tissue your body actually needs", and said "Their bodies were breaking down muscle."

What it says now

It says "about 91% of the weight lost on keto was fat-free mass, not body fat", that the authors note the scan reads quick shifts in body fluid as fat-free mass, and that on keto "these participants lost more body protein than they took in".

Why, and the source

The trial measured fat-free mass by DXA scan, not muscle. The authors write that the scan reads acute shifts in body fluid as changes in fat-free mass, and put the greater first-week weight loss on keto likely down to body water, glycogen, protein and gastrointestinal contents. Nitrogen balance showed a greater net loss of body protein on keto; it does not say which tissue the protein came from. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short said a low-fat diet burned fat three times faster than keto; it lost body fat faster on fewer calories, while keto burned more fat for fuel

ShortKeto Lost Weight. A DXA Scanner Found Where It Came From.

What it said

The Short said "The low-fat comparison diet burned fat at three times the rate" and "was burning more than three times as much actual fat".

What it says now

It says the same people "lost body fat about three times as fast while eating 689 fewer calories a day, on average" on the low-fat diet, and that "Keto actually burned more fat for fuel, 142 grams a day against 49".

Why, and the source

In the trial, body fat came off at 51 grams a day on the low-fat diet and 16 on keto, while the same 20 people ate 689 fewer calories a day on the low-fat diet. Fat burned for fuel was higher on keto: 142 against 49 grams a day. Body fat on keto did not change significantly, which the authors take to suggest that intake was about equal to what the body spent. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short said the scale showed keto winning in a ward trial; the difference in weight loss was not significant

ShortKeto Lost Weight. A DXA Scanner Found Where It Came From.

What it said

The Short said "The scale said keto won" and "keto wins by almost 700 grams".

What it says now

It says "keto looks ahead by almost 700 grams, though that gap was not statistically significant: the authors call the total weight loss similar".

Why, and the source

Weight fell 1.77 kg on keto and 1.09 kg on the low-fat diet over two weeks; the trial reports the difference as not significant (P = 0.15), and the authors write that total weight loss after two weeks was similar. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short said hunger and taste ratings were identical on keto and a low-fat diet; the trial found no significant differences

ShortKeto Lost Weight. A DXA Scanner Found Where It Came From.

What it said

The Short said "Both diets rated equally tasty", "with identical hunger ratings", and in its audio "Same hunger. Same satisfaction scores. Same taste ratings."

What it says now

It says the ratings "showed no significant difference between the diets" and that the same people ate 689 fewer calories a day on the low-fat diet "with no significant difference in hunger ratings".

Why, and the source

The trial reports no significant differences in hunger, satisfaction, fullness, eating capacity or meal pleasantness between the diets. That is not the same as identical ratings. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short gave P values for hunger, satisfaction and fullness that are not the trial's

ShortKeto Lost Weight. A DXA Scanner Found Where It Came From.

What it said

The Short gave "hunger (P = 0.65), satisfaction (P = 0.82), fullness (P = 0.59)".

What it says now

It gives "hunger (P = 0.3), satisfaction (P = 0.31), fullness (P = 0.6), eating capacity (P = 0.16)".

Why, and the source

Those are the P values the trial reports for the differences between the diets. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short said keto raised resting metabolism by 153 calories a day; the authors put the difference down to lower intake on the low-fat diet

ShortKeto Lost Weight. A DXA Scanner Found Where It Came From.

What it said

The Short said "Keto did raise resting metabolism by about 153 calories per day" and "The net energy balance still favored low-fat by over 500 calories per day."

What it says now

It says the people "burned about 153 more calories a day on keto than on low-fat" in the respiratory chamber, that "The authors read it the other way round", and gives the authors' energy balance difference of "about 330 calories a day".

Why, and the source

The trial measured daily energy expenditure in a respiratory chamber 153 calories lower on the low-fat diet. The authors put that down to eating about 700 fewer calories on it, and write that on keto expenditure likely changed very little from baseline. The net figure above 500 was FitChef's subtraction; the authors' own accounting puts the difference in energy balance at about 330 calories a day, from the change in body fat. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short stated the glycogen-water ratio per kilogram and without a source, and called the first-week drop never fat

ShortKeto Lost Weight. A DXA Scanner Found Where It Came From.

What it said

The Short said "Every kilogram of stored carbohydrate holds roughly 3 grams of water" and "It was never fat."

What it says now

It says "each gram of it is stored in human muscle with at least 3 grams of water", from a 2015 muscle-biopsy study now cited on the page, and that "Body fat on keto had not changed significantly after the first week."

Why, and the source

The ratio is per gram, and the page's only source, the 2021 ward trial, does not give it. A 2015 study concluded that each gram of glycogen is stored in human muscle with at least 3 g of water. The ward trial's authors put the greater first-week loss on keto likely down to body water, glycogen, protein and gut contents; body fat on keto had not changed significantly after the first week. Source: Fernandez-Elias VE, Ortega JF, Nelson RK, Mora-Rodriguez R. Relationship between muscle water and glycogen recovery after prolonged exercise in the heat in humans. Eur J Appl Physiol. 2015;115:1919-1926.

Found by

the Rule 30 sweep of Fernandez-Elias et al. 2015 (Q574): every page stating the glycogen-water ratio read in full

A keto Short said a year-long trial compared keto with calorie counting; it compared a healthy low-carb with a healthy low-fat diet, and nobody counted calories

ShortKeto Lost Weight. A DXA Scanner Found Where It Came From.

What it said

The Short said that in 609 adults "keto and calorie counting produced the same fat loss — both groups spontaneously cut about five hundred calories without being told to count".

What it says now

It says the 609 adults were "on a healthy low-carb or a healthy low-fat diet", that "their weight loss did not differ significantly", and that "Neither group was given a calorie target".

Why, and the source

The DIETFITS trial randomized 609 adults to a healthy low-fat or a healthy low-carbohydrate diet for 12 months, with no explicit instructions to restrict calories. Weight change, 5.3 against 6.0 kg, was not statistically different, and both groups reported eating about 500 to 600 calories a day less than at baseline. Source: Gardner CD, Trepanowski JF, Del Gobbo LC, et al. Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion: The DIETFITS Randomized Clinical Trial. JAMA. 2018;319(7):667-679.

Found by

a read of the page against the DIETFITS paper during the Hall 2021 sweep (Q575)

A keto Short said a ward trial locked its participants in and was the most controlled dietary setting there is

ShortKeto Lost Weight. A DXA Scanner Found Where It Came From.

What it said

The Short said "The NIH locked 20 adults in a metabolic ward", "Every calorie was tracked to the gram" and called it "the most controlled dietary environment that exists".

What it says now

It says "The NIH kept 20 adults on a metabolic ward for 28 days", that "Staff weighed what was left of every meal", and that they were "told it was not a weight-loss study".

Why, and the source

The participants lived on the ward for 28 days and visitors met them under observation; nutrition staff weighed the leftovers of every meal to calculate intake. The paper does not say the ward was locked or call it the most controlled setting. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short's chart gave the low-fat diet a fat-free mass share the trial did not measure

ShortKeto Lost Weight. A DXA Scanner Found Where It Came From.

What it said

The chart split the low-fat diet's loss into "39% fat-free mass" and "61% body fat", and keto's into 91% and 9%.

What it says now

It shows the scan's own figures in kilograms, with both bars drawn to one scale: 1.61 and 0.18 on keto, 0.16 and 0.67 on the low-fat diet, and says "the parts do not sum to the scale totals".

Why, and the source

On the low-fat diet the scan found 0.67 kg of body fat and 0.16 kg of fat-free mass lost (not significant) of a 1.09 kg scale loss; the 39% was 100 minus 61, not a measured share. The scans were not always on the scale days, so the parts do not add up exactly to the scale weights. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short's chart gave body-fat and weight numbers the trial does not report

ShortThe Weight Keto Drops First Isn’t the Weight You Wanted to Lose

What it said

The chart gave keto 0.16 kg of body fat lost and the low-fat diet a total of 1.00 kg, 0.84 kg of it body fat, and labelled fat-free mass "muscle + water".

What it says now

It shows 0.18 kg of body fat on keto and, for the low-fat diet, 1.09 kg in total with 0.67 kg of body fat; it labels the rest "fat-free mass" and notes that "the parts do not sum exactly to the scale totals".

Why, and the source

The trial reports body fat changes of 0.18 kg on keto (not significant) and 0.67 kg on the low-fat diet, and a low-fat weight loss of 1.09 kg. The chart's 0.84 was 1.00 minus 0.16, not a measured value. The scan measured fat-free mass, and its days were not always the weigh-in days, so the parts do not add up exactly to the scale weights. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short said low-fat diets burn body fat three times faster than keto; in one two-week trial body fat came off faster on low-fat while people ate fewer calories, and keto burned more fat for fuel

ShortThe Weight Keto Drops First Isn’t the Weight You Wanted to Lose

What it said

The Short said "a low-fat diet burned body fat three times faster than keto", stated as a rule "Low-fat diets burn body fat three times faster than keto diets.", and said in its audio that the theory of a keto fat-burning state "The metabolic data says it does not."

What it says now

It says that in a two-week metabolic ward trial "body fat came off about three times as fast on a low-fat diet as on keto, while the same people ate 689 fewer calories a day on it, on average", and in its audio that "keto did burn more fat for fuel".

Why, and the source

In the trial, the same 20 people lost body fat at 51 grams a day on the low-fat diet and 16 on keto over two weeks each, eating 689 fewer calories a day on the low-fat diet. Fat burned for fuel was higher on keto: 142 against 49 grams a day. One two-week trial of two diets eaten freely does not make a general rule. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short said controlled trials found no fat-loss difference between keto and calorie counting at the same calorie deficit; neither trial it cites tested calorie counting or matched the deficit

ShortThe Weight Keto Drops First Isn’t the Weight You Wanted to Lose

What it said

The Short said "Controlled trials show no difference in fat loss between keto and calorie counting when both produce the same calorie deficit", described the ward as a place "where every calorie was tracked to the gram", and rated it "complete dietary control".

What it says now

It says "No trial cited here tested keto against calorie counting", that on the ward people ate "as much or as little as they wanted", and that they ate 689 fewer calories a day on the low-fat diet.

Why, and the source

The year-long trial compared a healthy low-carb with a healthy low-fat diet and gave no calorie targets. In the ward trial both diets were eaten freely, and intake differed by 689 calories a day; staff weighed the leftovers to measure it. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short described a year-long trial as keto against calorie counting with the same deficit; it compared a healthy low-carb with a healthy low-fat diet, with no calorie targets

ShortThe Weight Keto Drops First Isn’t the Weight You Wanted to Lose

What it said

The Short said "Keto and calorie counting produce equivalent fat loss after 12 months when both create the same calorie deficit", that "both diets produced the same weight loss", and that both groups "spontaneously reduced their intake by about five hundred to six hundred calories per day" with the "Same deficit", calling the trial the "largest head-to-head RCT".

What it says now

It says "the two diets' weight loss did not differ significantly", that "Neither group was told to count calories", that the low-carb group "started at 20 grams of carbohydrate a day, then added carbs back", and that both groups "reported eating about five hundred to six hundred calories a day less than before the trial".

Why, and the source

DIETFITS randomized 609 adults to a healthy low-fat or a healthy low-carbohydrate diet for 12 months, with no explicit instructions to restrict calories. Carbohydrate was cut to 20 g a day for 8 weeks and then added back; at 12 months it made up 30% of the low-carb group's calories. Weight change (5.3 against 6.0 kg) and total intake were not significantly different, and both groups reported eating about 500 to 600 calories a day less than at baseline. The paper does not call itself the largest trial. Source: Gardner CD, Trepanowski JF, Del Gobbo LC, et al. Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion: The DIETFITS Randomized Clinical Trial. JAMA. 2018;319(7):667-679.

Found by

a read of the page against the DIETFITS paper during the Hall 2021 sweep (Q575)

A keto Short's audio said hunger, fullness and satisfaction were identical on keto and a low-fat diet; the trial found no significant difference

ShortThe Weight Keto Drops First Isn’t the Weight You Wanted to Lose

What it said

The audio said "both groups reported identical hunger, identical fullness, identical satisfaction".

What it says now

It says "hunger, fullness and satisfaction ratings showed no significant difference between the diets".

Why, and the source

The trial reports no significant differences in these ratings between the diets, which is not the same as identical ratings. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short said keto moved the scale more as a settled result; the difference in weight loss was not significant

ShortThe Weight Keto Drops First Isn’t the Weight You Wanted to Lose

What it said

The Short said "Keto moved the scale more. That part was true."

What it says now

It says "Keto moved the scale more, though the difference was not statistically significant."

Why, and the source

Weight fell 1.77 kg on keto and 1.09 kg on the low-fat diet over two weeks; the trial reports the difference as not significant (P = 0.15). Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto Short cited two diet trials under shortened titles

ShortThe Weight Keto Drops First Isn’t the Weight You Wanted to Lose

What it said

The Short cited "Gardner et al. 2018 — Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss (DIETFITS)" and "Hall et al. 2021 — Effect of a Plant-Based, Low-Fat Diet vs an Animal-Based, Ketogenic Diet".

What it says now

It cites the papers' full titles: "Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion: The DIETFITS Randomized Clinical Trial" and "Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake".

Why, and the source

Those are the titles as published in JAMA and Nature Medicine. Source: Gardner CD, Trepanowski JF, Del Gobbo LC, et al. Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion: The DIETFITS Randomized Clinical Trial. JAMA. 2018;319(7):667-679.

Found by

a read of the page against the DIETFITS paper during the Hall 2021 sweep (Q575)

A keto Short said a 2025 meal trial confirmed the ward trial's result; its authors found their results partly consistent and largely inconsistent with the model

ShortThe Weight Keto Drops First Isn’t the Weight You Wanted to Lose

What it said

The Short said the carbohydrate-insulin model's failure was "Confirmed by Liu 2025 (n=120) at the meal-by-meal level."

What it says now

It says the 2025 trial "found its meal-level results largely inconsistent with the model too", and that intake rose less after the low-GI meal.

Why, and the source

In the 2025 trial, hunger did not differ significantly between low-, medium- and high-GI meals, but intake rose less after the low-GI meal than after the others, which the authors call partially consistent with the model; overall they judge the results largely inconsistent with it. It tested single meals, not diets. Source: Liu Y, Mei H, Xue L, et al. Testing the carbohydrate-insulin model: Short-term metabolic responses to consumption of meals with varying glycemic index in healthy adults. Cell Metab. 2025;37(3):606-615.e3.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A carb hunger-loop claim said hunger was identical on a high-carb diet and on keto, and across meals of different glycemic index; both trials found no significant difference

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim said the 20 people were "rating their hunger identically on both diets", "reported feeling exactly as hungry", that hunger "was identical across all conditions" in the meal trial, and that "hunger went the opposite direction".

What it says now

It says hunger ratings showed "no significant difference" in the ward trial, and that in the meal trial hunger ratings "did not differ significantly between the low-, medium- and high-GI meals".

Why, and the source

The ward trial reports no significant differences in hunger, satisfaction, fullness or eating capacity between the diets, and the meal trial no significant differences in hunger among its three groups. That is not the same as identical ratings, and hunger did not go in either direction; intake did. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A carb hunger-loop claim credited a 2025 meal trial to Hall and colleagues; its authors are Liu and colleagues

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim cited the 2025 trial as "Hall et al. (2025)" and "(Hall et al., 2025, Cell Metabolism; n=120)", and labelled its findings "Hall et al.".

What it says now

It cites "Liu et al. (2025)" and "(Liu et al., 2025, Cell Metabolism; n=120)".

Why, and the source

The 2025 Cell Metabolism trial of meals with low, medium and high glycemic index is by Ying Liu, Huihui Mei, Li Xue and colleagues, with John R. Speakman as last author. Kevin Hall is not an author. Source: Liu Y, Mei H, Xue L, et al. Testing the carbohydrate-insulin model: Short-term metabolic responses to consumption of meals with varying glycemic index in healthy adults. Cell Metab. 2025;37(3):606-615.e3.

Found by

a read of the page against the Liu 2025 paper during the Hall 2021 sweep (Q575, Q581)

A carb hunger-loop claim gave a source quote that is not in the paper it cites

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim's source quote read "Despite consuming a diet with a much higher glycemic load and significantly elevated postprandial insulin, the plant-based low-fat diet resulted in significantly less ad libitum energy intake compared with the animal-based ketogenic diet."

What it says now

It now quotes the paper: "While our LF diet contained foods with high glycemic load that substantially increased postprandial glucose and insulin levels compared to the LC diet, the LF diet led to less energy intake compared to the LC diet, which contradicts the predictions of the carbohydrate–insulin model."

Why, and the source

The earlier sentence was written for the page and presented as the paper's words; it does not appear in the paper. The new one is the authors' own sentence from their discussion. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A carb hunger-loop claim said ketones directly suppress appetite in a dose-dependent way; the trial's authors only speculate about it

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim said "Appetite was genuinely suppressed during keto adaptation", that "The evidence points to ketone bodies suppressing appetite directly", that the effect is "a dose-dependent ketone effect", and asked "whether four or eight weeks of ketosis would eventually close the gap".

What it says now

It says the authors call it "intriguing to speculate" that the drop in intake on keto matches the appetite-suppressing effect of ketones, that "Hunger itself was rated only in that second week", and that whether longer adaptation would close or reverse the gap "is unknown, the authors write".

Why, and the source

In the trial, intake on keto fell by 312 calories a day from the first week to the second as ketone levels rose. The authors write that it "is intriguing to speculate" that this drop corresponds to the appetite-suppressive effect of ketones. Hunger was rated only in the second week of each diet, no dose of ketosis was compared, and the authors call it unknown whether longer adaptation would eliminate or reverse the intake difference. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A carb hunger-loop claim said food volume, energy density and eating speed drive how much people eat; the trial's authors only suggest a part for them

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim said "The evidence points to food volume, energy density, and eating speed", "Same stomach capacity, double the caloric density", and "The keto food delivered more energy before the gut could signal fullness."

What it says now

It says the authors suggest fiber and lower energy density "may have helped, but write that intake is unlikely to be explained by them alone", that "People ate more food by weight on the high-carb diet", and gives the eating rates.

Why, and the source

The authors write that "Perhaps" the greater fiber and lower energy density of the low-fat diet reduced intake, but that intake is "unlikely to be explained by dietary fiber and energy density alone", and that a fuller model including eating rate is needed. People ate more food by weight on the low-fat diet, 2,140 against 1,473 grams a day, so stomach volume was not the same. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A carb hunger-loop claim told a two-week average as every person's daily gap, and misstated the chance of the result

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim said "Not marginally less. 689 fewer calories per day", called it "a phantom extra meal" eaten "every single day", and said "The probability of all twenty going the same direction by chance is less than one in a million."

What it says now

It says "On average, 689 fewer calories per day", "roughly a whole dinner's worth of calories", and that if each result were a coin flip "the chance of all twenty eating more on keto would be about one in a million".

Why, and the source

The 689 calories is the average difference over the two weeks; every participant ate fewer calories on the high-carb diet, by differing amounts. The chance of all twenty going one named way by coin flip is one half to the twentieth power, about one in a million; either way round it is twice that, about one in 524,000. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A carb hunger-loop claim gave insulin as 3.2 times higher on a high-carb diet without saying it was after a liquid test meal

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim said "Postprandial insulin was 3.2 times higher" (and "Insulin after meals was 3.2 times higher"), and "The high-carb side had triple the insulin".

What it says now

It says "After a liquid test meal, insulin was 3.2 times higher on the high-carb diet; fasting insulin did not differ."

Why, and the source

The 3.2 times compares the trial's average insulin after a liquid test meal in each diet's second week: 47.6 against 14.9 µU/ml. Fasting insulin and insulin during the glucose tolerance test did not differ significantly between the diets. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A carb hunger-loop claim said a 2025 meal trial found zero connection between insulin and hunger; the trial did not test that link, and its intake results were partly consistent with the model

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim said post-meal insulin spikes have "zero connection to subsequent hunger", that "the relationship between insulin response and hunger was effectively zero", that the glycemic index "affected how much people ate", and that "The individual-variation escape route closes too."

What it says now

It says hunger "did not differ significantly between meals that raised insulin by different amounts", that intake at the next meal rose less after a low-GI breakfast, which "The authors call this partly consistent with the model", and that "Insulin just before that meal was weakly linked to eating less".

Why, and the source

The 2025 trial compared hunger between its low-, medium- and high-GI groups (no significant difference); it did not report a correlation between insulin and hunger. Intake rose less after the low-GI meal than after the others, which the authors call partially consistent with the model. Insulin at 300 minutes and the insulin-glucagon ratio were weakly negatively correlated with the change in intake, and the insulin response itself was not related to it. Source: Liu Y, Mei H, Xue L, et al. Testing the carbohydrate-insulin model: Short-term metabolic responses to consumption of meals with varying glycemic index in healthy adults. Cell Metab. 2025;37(3):606-615.e3.

Found by

a read of the page against the Liu 2025 paper during the Hall 2021 sweep (Q575, Q581)

A carb hunger-loop claim rated its evidence High Certainty on one two-week ward trial and one single-meal trial

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim rated its evidence High Certainty (index 89) and said "The evidence points to a clear conclusion for your plate".

What it says now

It is rated Moderate Certainty (index 68), counts the 2025 meal trial as partly consistent, and says the hunger loop "didn't materialize in these two controlled tests".

Why, and the source

The claim rests on a two-week-per-diet ward trial of 20 adults and a single-meal trial of 120, both in healthy adults. The claim pipeline's own rule asks for at least one meta-analysis or large trial for High Certainty. The meal trial's intake result was partly consistent with the model it tests. The index was re-weighed with the pipeline's own formula. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A carb hunger-loop claim said a ward trial locked its participants in and was the most controlled test ever

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim said people were "locked in a metabolic ward", called the trial "The most controlled test of the CIM hunger prediction ever conducted", and credited it with "100% dietary compliance".

What it says now

It says the researchers "housed twenty people on a metabolic ward for a month", and that intake was measured "by weighing the remaining food of all 1,680 meals".

Why, and the source

The participants lived on the ward for 28 days; nutrition staff weighed what was left of every meal to calculate intake, and three days of food-weight errors were removed. The paper does not say the ward was locked, call the trial the most controlled ever, or report a compliance rate. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A carb hunger-loop claim gave FitChef's arithmetic as the trial's net energy advantage and a protein explanation the authors do not give

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim's evidence table gave "Net advantage after EE adjustment: ~536 kcal/d" and said the expenditure difference "may partly reflect higher protein intake on keto".

What it says now

It labels 536 as "FitChef arithmetic", gives the authors' estimate of "~330 kcal/d", and says "The authors attribute the lower expenditure on the low-fat diet to its ~700 kcal/d lower intake".

Why, and the source

The authors put the 153 calories a day lower expenditure on the low-fat diet down to eating about 700 fewer calories, and write that expenditure on keto likely changed very little from baseline. Their body-fat data correspond to a difference in energy balance of about 330 calories a day. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A carb hunger-loop claim said a year-long trial found no overeating advantage for its low-carb group; it found no difference in total calorie intake between the diets

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim said the 12-month trial "found no overeating advantage for the low-carb group compared to the higher-carb group".

What it says now

It says the trial, "on a healthy low-carb or a healthy low-fat diet, found no significant difference in total calorie intake between them at any point".

Why, and the source

DIETFITS randomized 609 adults to a healthy low-fat or a healthy low-carbohydrate diet for 12 months with no calorie targets. Total energy intake was not different between the groups at any time point, and weight change was not statistically different. Source: Gardner CD, Trepanowski JF, Del Gobbo LC, et al. Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion: The DIETFITS Randomized Clinical Trial. JAMA. 2018;319(7):667-679.

Found by

a read of the page against the DIETFITS paper during the Hall 2021 sweep (Q575)

A carb hunger-loop claim said keto produced the larger weight loss in a ward trial; the difference was not significant

ClaimDo Carbs Trigger an Insulin-Driven Hunger Loop?

What it said

The claim's evidence table said "The keto diet's total weight loss was higher (-1.77 vs -1.09 kg)".

What it says now

It says "The keto diet's total weight loss was larger, though not significantly (-1.77 vs -1.09 kg, P = 0.15)".

Why, and the source

Weight fell 1.77 kg on keto and 1.09 kg on the low-fat diet over two weeks; the trial reports the difference as not significant (P = 0.15), and the authors write that total weight loss after two weeks was similar. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the skeptic pass on the Hall 2021 sweep's fix of this page (Q597): the page read in full against the paper

The carbs guide told a ward trial's average gap in calories as each person's, as every day's and as a skipped dinner

GuideEverything we know about carbs and body composition

What it said

The guide said every participant ate less on the high-carb side, "Not slightly less — about 689 fewer calories per day", "roughly an entire skipped dinner that the keto side was consuming every day", and its audio said "That is roughly an entire skipped dinner."

What it says now

It says every participant ate less on the high-carb side, "689 fewer calories per day on average", "roughly a whole dinner's worth of calories a day", and the audio says "That is roughly a whole dinner's worth of calories."

Why, and the source

Every participant did eat fewer calories on the high-carbohydrate diet, but 689 calories a day is the average over two weeks, not each person's gap. Intake on the ketogenic diet also fell by 312 calories a day from its first week to its second, so the gap was not the same every day. The same 20 people ate both diets. On the high-carbohydrate diet they ate more food by weight, 2,140 against 1,473 grams a day, and fewer calories at breakfast, lunch, dinner and snacks alike: the gap was about a dinner's worth of calories, not a skipped dinner. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

The carbs guide said the evidence points to ketones suppressing appetite; the trial's authors only speculated about it

GuideEverything we know about carbs and body composition

What it said

The guide said "the evidence points to ketone bodies suppressing appetite directly".

What it says now

It says "The authors call it intriguing to speculate that this drop corresponds to the size of the appetite-suppressing effect of ketones".

Why, and the source

The authors wrote that it is intriguing to speculate that the fall of about 300 calories a day in intake from the first to the second week of the ketogenic diet corresponds to the appetite-suppressing effect of ketones. The trial did not test it. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

The carbs guide cited a 2021 diet trial under a shortened title

GuideEverything we know about carbs and body composition

What it said

The guide cited "Hall et al. (2021) — Effect of a Plant-Based, Low-Fat Diet vs Animal-Based, Ketogenic Diet".

What it says now

It cites "Hall et al. (2021) — Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake".

Why, and the source

That is the paper's full title in Nature Medicine. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A study page on carbs and muscle growth told AI tools that a 2021 ward trial supports low-carb diets lowering intake; in that trial people ate more on the ketogenic diet

StudyDo You Need Carbs to Build Muscle? What 11 Studies Actually Found

What it said

The page's notes for AI tools listed the trial as support for the point that low-carb diets may lower how much people eat, as "Hall (LFPB vs keto: energy intake differences explain body composition differences)".

What it says now

They list it as a contradiction: "the same 20 people ate 689 kcal/d more, on average, on an animal-based ketogenic diet than on a plant-based low-fat diet, not less".

Why, and the source

In the 2021 trial, the same 20 adults ate 689 calories a day more, on average, on the ketogenic diet than on the plant-based, low-fat diet, although their intake on the ketogenic diet fell by 312 calories a day from the first week to the second. The authors tied the faster loss of body fat on the low-fat diet to energy balance, and put the ketogenic diet's greater early weight loss down, likely, to water, glycogen, protein and gut contents. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

The carbs guide said insulin was 3.2 times higher on a high-carb diet without saying that was after a test meal; fasting insulin did not differ

GuideEverything we know about carbs and body composition

What it said

The guide said "Insulin on the high-carb side was 3.2 times higher.", "Insulin rose 3.2 times higher on high-carb", and its chart labelled the bar "Insulin".

What it says now

It says "After a liquid test meal, insulin on the high-carb side was 3.2 times higher.", the same in its other mentions, and the chart labels the bar "Post-meal insulin".

Why, and the source

The 3.2 times compares the trial's average insulin after a liquid test meal in each diet's second week: 47.6 against 14.9 micro-units per millilitre. Fasting insulin at the end of each diet, and insulin during the glucose tolerance test, did not differ significantly between the diets. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

The carbs guide said hunger and satisfaction were identical on a high-carb diet and on keto in a ward trial, and that hunger went the wrong direction; the trial found no significant difference

GuideEverything we know about carbs and body composition

What it said

The guide said "Hunger ratings? Identical. Satisfaction? Identical.", that "the predicted output — more hunger, more eating — went the wrong direction", and, in its summary of the hunger-loop claim, "with identical hunger ratings".

What it says now

It says "Hunger ratings? No significant difference. Satisfaction? No significant difference either.", that "hunger did not differ significantly, and eating went the wrong direction", and "with no significant difference in hunger ratings".

Why, and the source

In the trial, the same 20 adults reported no significant differences in hunger, satisfaction, fullness or how much they could eat between the two diets, although they ate far fewer calories on the high-carbohydrate, low-fat diet. The ratings showed no significant difference either way; calorie intake did. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A low-carb metabolism claim's chart data cited a 2019 ultra-processed food trial for a result of a 2021 diet trial

ClaimDoes Cutting Carbs Burn More Calories? What 2 Studies Actually Found

What it said

The data behind the chart of the two predictions cited "Hall et al. (2021) — ultra-processed vs unprocessed ward study" with the DOI 10.1016/j.cmet.2019.05.008.

What it says now

It cites "Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake (Hall et al. 2021)" with that paper's DOI, 10.1038/s41591-020-01209-1.

Why, and the source

The 689 fewer calories a day in the chart comes from that 2021 Nature Medicine trial. The DOI it linked belongs to Hall and colleagues' 2019 trial of ultra-processed diets in Cell Metabolism. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A low-carb metabolism claim said a ward trial found identical hunger ratings on a high-carb diet and on keto; the trial found no significant difference

ClaimDoes Cutting Carbs Burn More Calories? What 2 Studies Actually Found

What it said

The claim said that "in a controlled metabolic ward" people on a high-carb diet "spontaneously ate 689 fewer calories per day than those on keto — with identical hunger ratings", and the audio said "With identical hunger ratings."

What it says now

It says that on a metabolic ward, "where people ate as much or as little as they wanted", the same 20 people ate 689 fewer calories a day on the high-carb diet than on keto, "on average over two weeks — with no significant difference in hunger ratings".

Why, and the source

In the trial, 20 adults ate each diet for two weeks on a metabolic ward, as much or as little as they wanted. On the high-carbohydrate, low-fat diet they ate 689 fewer calories a day on average, and they reported no significant differences in hunger, satisfaction, fullness or how much they could eat. Identical claimed more than the trial found, and a controlled ward read as if intake had been set. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page said keto won on the scale; the two-week weight losses were not significantly different

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page said "If you stopped at the scale, keto won.", "The scale said keto won.", "keto's scale victory", and that the low-fat side "barely moved the scale".

What it says now

It says "On the scale, keto looked ahead", but "the authors call the two totals similar: the difference was not statistically significant", and that the low-fat side "lost its 1.09 kg more slowly at first".

Why, and the source

Weight fell 1.77 kg on the ketogenic diet and 1.09 kg on the low-fat diet, which was not significantly different (P = 0.15); the authors call total weight loss after 2 weeks similar. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page said a longer trial could only narrow the gap and that the ketosis was deep by any definition; the paper says neither

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page said "narrowing a gap is not reversing a direction", "The confounders affect magnitude. The direction was just wrong.", that the objections "none explain why the CIM's directional prediction went wrong in every participant", that "full adaptation takes four to eight weeks", that "Two weeks per diet is the biggest limitation.", and that 1.8 mmol/L was "deep nutritional ketosis by any clinical definition".

What it says now

It says whether longer adaptation "would eventually erase or reverse the gap is, in the authors' words, unknown", that "the authors doubt any single factor explains it", that "For these two weeks, the authors conclude the result contradicts the CIM's prediction", that "The authors name the inpatient setting as their main limitation", and that blood ketones "passed the 0.5 millimoles per liter threshold that defines nutritional ketosis" within days.

Why, and the source

The authors write that whether long-term adaptation would eventually eliminate or reverse the intake differences is unknown, and that intake is unlikely to be explained by fiber and energy density alone; they name the inpatient setting as their study's main limitation. Their ketone result: the 0.5 mM threshold for nutritional ketosis was quickly passed, and the second-week average was 1.8 mM in the 15 people tested daily. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page gave statistics the paper does not report, among them an effect size and a P value of below one in a million

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page gave "Cohen's d > 2.0", a chart label "p < 0.000001", "The statistical confidence was as high as it gets", an extra meal "Every single day on keto", an intake of "~2,700 kcal/d" on keto, "153 fewer calories per day at rest", small LDL that "decreased" on the low-fat diet, insulin that "tripled", and "The study measured fourteen outcomes".

What it says now

It gives no effect size, the trial's "P < 0.0001", "689 more calories a day, on average", "~2,760 kcal/d" from the meal sums, "In the respiratory chamber", small LDL that "did not change significantly", insulin "after a test meal" about three times higher, and "Fourteen of the study's findings are listed below."

Why, and the source

The paper reports no standardized effect size; its P value for the intake difference is below 0.0001, and the 689 calories are a two-week average. Expenditure was measured over 24 hours in a respiratory chamber; the change in small LDL on the low-fat diet was not significant (P = 0.11); the threefold insulin was after a liquid test meal, and fasting insulin did not differ between the diets. The "one in a million" chance holds only for all twenty eating more on keto, which the page now says. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page called the trial the most controlled test ever, in a locked ward, with daily cycling and a standardized sleep cycle; the paper says none of that

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page said "the most controlled test of that prediction ever attempted", "a locked metabolic ward", that the keto side was "almost entirely animal-sourced", and listed "daily cycling at standardized moderate intensity" and a standardized "Sleep-wake cycle" among the controls.

What it says now

It says the trial was the first inpatient test "with both diets cut low enough to potentially reveal a difference", that people lived on "a metabolic ward" for four weeks, that "the keto meals drew 82% of their calories from animal foods", and lists physical activity as measured by accelerometry and meal times as the controls.

Why, and the source

The authors note that no earlier inpatient study had tested low-carbohydrate and low-fat diets both low enough to show a difference. Participants were confined to the ward, lived in individual rooms and met visitors under observation; the paper does not say the ward was locked. The keto meals took 82% of their energy from animal products. Being able to cycle was an entry requirement; the paper describes no cycling protocol or sleep schedule. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page said hunger and taste were identical on both diets; the trial found no significant difference

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page said hunger was "identical on both diets", that both diets were "rated equally tasty and equally familiar", that "Nobody preferred one over the other", that "nobody felt any different", that the extra calories "registered in no hunger rating", and that the intake gap "wasn't about preference".

What it says now

It says the hunger, fullness, satisfaction and eating-capacity ratings "did not differ significantly between the diets", and so did the ratings of "how pleasant and how familiar the meals were"; its headline figure now reads "about an extra meal's worth, with no significant difference in hunger ratings".

Why, and the source

The trial reports "no significant differences" in hunger, satisfaction, fullness or eating capacity, rated during the second week of each diet, and none in pleasantness or familiarity. Finding no significant difference in 20 people does not show the ratings were the same, and the paper draws no conclusion about palatability. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page said the body was burning protein for fuel through gluconeogenesis; the trial measured a net loss of body protein and named no pathway

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page said urinary nitrogen was "a direct marker of protein being burned for fuel", that "In deep ketosis, the body increases a process called gluconeogenesis", and that "the body was burning its own muscle for fuel".

What it says now

It says the measure was nitrogen balance, "the nitrogen people ate minus the nitrogen in their urine", which "came out more negative on keto, −7.8 versus −1.8 grams a day", and that "The paper measured that balance, not the route the protein took."

Why, and the source

The trial compared nitrogen eaten with nitrogen excreted in urine: −7.8 grams a day on the ketogenic diet against −1.8 on the low-fat diet, which the authors read as a greater net loss of body protein despite more protein eaten. The paper does not mention gluconeogenesis or protein used as fuel. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page said people ate the same volume of food on both diets and that gut fullness follows volume; they ate more food by weight on the low-fat diet

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page said "The most likely explanation sits in the food itself, not the hormones", "Same physical volume of food on the plate, double the calories", "The gut's fullness signals respond to volume, not calories", "higher insulin, less food", and that keto's extra calories were "roughly an entire extra dinner's worth of food".

What it says now

It says "The study can't say for sure", that people on the plant-based diet "ate more food by weight, 2,140 versus 1,473 grams a day, but fewer calories", "higher insulin, fewer calories", and "roughly an extra dinner's worth of calories".

Why, and the source

On the low-fat diet people ate 2,140 grams of food a day against 1,473 on the ketogenic diet. The authors offer fiber and energy density only as a "Perhaps", and add that intake is unlikely to be explained by fiber and energy density alone. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page said the low-fat diet burned body fat three times faster; people lost it faster while eating 689 fewer calories a day, and burned more fat on keto

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page said "The plant-based side burned body fat at triple the rate of keto", that the low-fat diet "burned three times more fat per day", and that "the plant-based side lost more body fat in two weeks".

What it says now

It says people "lost body fat about three times as fast" on the plant-based side "while eating 689 fewer calories a day", that "more fat was burned for fuel on keto: 142 grams a day versus 49", and that "the difference in total fat lost by the end of the two weeks was not statistically significant".

Why, and the source

Body fat came off at 51 grams a day on the low-fat diet against 16 on the ketogenic diet, while intake was 689 calories a day lower on the low-fat diet; the authors calculate that the gap in fat loss corresponds to about 330 calories a day of energy balance. Fat burned for fuel was higher on the ketogenic diet, 142 against 49 grams a day. The difference in fat lost by the end of the two weeks was 0.48 kg, not statistically significant (P = 0.085). Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page said keto's weight loss was mostly muscle; the scan measured fat-free mass, which also moves with body water

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page said "91% of that was muscle and water", that "the plant-based side preserved almost all its muscle", that the keto side "lost more muscle", and its chart labelled the 1.61 kg "Muscle mass" under "More protein in. More muscle out."

What it says now

It says "most of it, 1.61 of 1.77 kg, was fat-free mass" by DXA scan, that the scan "counts shifts in body water as fat-free mass", that the authors judged keto's extra first-week loss "likely mostly water, glycogen, protein and gut contents", and the chart now reads "Fat-free mass" and "More protein in. More fat-free mass out."

Why, and the source

The trial measured fat-free mass by DXA scan, not muscle: everything that is not fat. The authors note that the scan reads acute shifts in body fluid as changes in fat-free mass, and put the greater weight loss in the first week of the ketogenic diet likely down to differences in body water, glycogen, protein and gastrointestinal contents. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page gave the authors explanations they do not give, for energy expenditure and glucose tolerance, and linked blood pressure to sodium

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page said "Authors note the lower EE on LF may be due to lower protein intake", that the impaired glucose tolerance indicated adaptation "rather than pathological insulin resistance. May be transient upon reintroduction of carbohydrates.", and that the lower blood pressure was "possibly related to differences in sodium intake" and "may reflect sodium intake differences".

What it says now

It says the authors attribute the lower expenditure to the "~700 kcal/d lower energy intake", that the glucose tolerance result "likely indicates a substantial degree of physiological adaptation to the diet", and gives the blood pressure result without a cause, noting only that "The diets also differed in sodium intake".

Why, and the source

The authors explain the lower expenditure on the low-fat diet by its lower energy intake, and say the impaired glucose tolerance likely indicates a substantial degree of physiological adaptation; they do not discuss insulin resistance, reintroducing carbohydrates, or sodium and blood pressure. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A keto study page said no competing interests were declared and the trial was entirely NIH-funded; one author declares ties to nutrition companies

StudyHall 2021: Keto vs Plant-Based — Who Actually Ate More?

What it said

The page gave the competing interests as "None declared" and said the trial was "Entirely funded by the Intramural Research Program of the NIH" with "No external sponsors" and "no food industry involvement".

What it says now

It gives C.G. Forde's declared interests and that "The other authors declare no competing interests", and lists P.V. Joseph's other support: the National Institute of Nursing Research, the Office of Workforce Diversity and the Rockefeller University Heilbrunn Nurse Scholar Award.

Why, and the source

The paper's competing-interests statement: C.G. Forde has received reimbursement for speaking at conferences sponsored by companies selling nutritional products, serves on the scientific advisory council for Kerry Taste and Nutrition and is part of an academic consortium that has received research funding from Abbott Nutrition, Nestec and Danone. Its acknowledgements list P.V. Joseph's other funding. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A macro-tracking Short split 256 calories into 174 from the drink and 82 from food and said nobody compensated the next day

What it said

The Short said each drinking occasion adds "256 extra calories — 174 from the drinks themselves and 82 from extra food" and that "Across 22 controlled experiments tracking what people eat on days they drink, nobody compensated the next day".

What it says now

It says "people ate about 82 more calories of food at a meal or snack after an alcoholic drink" and "the review behind these figures reports no next-day measure".

Why, and the source

The review (Kwok et al. 2019) found food energy intake 343 kJ (about 82 kcal) higher, pooled from 12 studies, and total energy intake, drink included, 1072 kJ (about 256 kcal) higher, pooled from 8 of those 12; it gives no 174 kcal figure. Sixteen of its 22 studies served the test food 10 minutes to 2 hours after the drink; the review reports no next-day measure, and its two longer studies (6 and 10 weeks of red wine) found no significant change in total energy intake. Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121:481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its four papers

A macro-tracking Short cited a food-intake review under two wrong co-authors and an alcohol study under a composed title

What it said

The Short listed the review's authors as "Kwok A, Dordevic AL, Pham H, Foster M, Truby H" and named the 1999 study "The influence of ethanol on de novo lipogenesis and on whole body fat oxidation" in its chart data.

What it says now

It lists "Kwok A, Dordevic AL, Paton G, Page MJ, Truby H" and names the 1999 study "De novo lipogenesis, lipid kinetics, and whole-body lipid balances in humans after acute alcohol consumption".

Why, and the source

The review's authors are Kwok, Dordevic, Paton, Page and Truby (British Journal of Nutrition 2019). Siler, Neese and Hellerstein (1999) published under the title now given. Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121:481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its four papers

A macro-tracking Short said fat burning drops 87% while the body clears alcohol; that figure came an hour after an intravenous dose in six men at rest

What it said

The Short said "Fat burning drops by 87% while your body clears alcohol — a finding first measured in 1988 and confirmed across dosing methods since", and gave the study as "n=4".

What it says now

It says "Fat burning fell 73% one to two hours after the 24 g" and that "a dose of 0.75 g per kilogram given into a vein, to men lying in hospital beds, cut fat burning by 87% within the hour".

Why, and the source

Shelmet et al. (1988) infused 0.75 g of alcohol per kg into a vein over 30 minutes in six men reclining in hospital beds; fat oxidation fell 87% at 60 minutes and 79% over the 4 hours. The study that gave alcohol by mouth (Siler et al. 1999, 24 g, eight men) found whole-body fat oxidation 73% lower one to two hours later. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its four papers

A macro-tracking Short said alcohol cuts muscle building by 24% even with optimal protein; the study used about 12 drinks after a workout

What it said

The Short said alcohol "suppresses muscle building on its own — by 24% even when protein intake is optimal, and by 37% when it falls short", and that "Your muscles take the hit twice".

What it says now

It says "eight active men drank about 12 standard drinks after a workout" and that "That was a binge, and no smaller dose was tested, but protein partly made up for the cost".

Why, and the source

Parr et al. (2014) gave one dose, 1.5 g per kg ("12±2 standard drinks"), after exercise: myofibrillar protein synthesis was 24% lower with alcohol plus protein and 37% lower with alcohol plus carbohydrate, both against protein alone. The 37% came with carbohydrate in place of the protein, not with a protein intake that fell short: no smaller protein intake was tested. The authors call the protein's effect "only a partial 'rescue'". Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol Ingestion Impairs Maximal Post-Exercise Rates of Myofibrillar Protein Synthesis following a Single Bout of Concurrent Training. PLoS One. 2014;9(2):e88384.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its four papers

A macro-tracking Short said less than 5% of alcohol ever becomes body fat and that tissues burn the rest while everything else waits; the study measured one dose over 6 hours

What it said

The Short said "Less than 5% of alcohol ever converts to body fat. The rest — 70 to 80% — turns into a compound called acetate, which your tissues burn as a priority fuel while everything else waits in line", and its chart showed carbs "Reserved as glycogen".

What it says now

It says "less than 5% of it was turned into new fat in the 6 hours measured" and "Most of it, 70 to 80%, left the liver as a compound called acetate, which the body’s tissues burned in place of fat"; the chart shows "Carb burning did not change".

Why, and the source

Siler et al. (1999) gave 24 g of alcohol to eight men: new fat made from it was 0.8 g over 6 hours, less than 5% of the dose (an upper-bound estimate); the main fate, 70-80%, was acetate, which replaced fat, not carbohydrate, in the fuel the body burned. Carbohydrate burning did not change. The study did not measure glycogen storage. Source: Siler SQ, Neese RA, Hellerstein MK. De novo lipogenesis, lipid kinetics, and whole-body lipid balances in humans after acute alcohol consumption. Am J Clin Nutr. 1999;70:928-36.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its four papers

The claim on drinking and weight: its certainty assessment included two bonuses FitChef's scoring rules do not list, and is lowered (Moderate Certainty unchanged)

What it said

The claim was rated Moderate Certainty, with a scale bonus and a convergence bonus in its assessment.

What it says now

Both bonuses are removed and its certainty is lowered; the tier stays Moderate Certainty.

Why, and the source

The assessment added a scale bonus resting on "127 studies from 49 countries" (the review prints no country count) and a convergence bonus resting on "three independent reviews converge" (Kwok et al. measured food intake at a lab meal, not weight). The claim pipeline's scoring rules list neither bonus. Without them the claim stays in the Moderate Certainty band. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the claim read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The claim on how many drinks is too many: its certainty assessment included three bonuses FitChef's scoring rules do not list, and is lowered (Moderate Certainty unchanged)

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

The claim was rated Moderate Certainty, with three bonuses in its assessment.

What it says now

The three bonuses are removed and its certainty is lowered; the tier stays Moderate Certainty.

Why, and the source

The assessment added bonuses for "four systems all dose-dependent", for "scale of evidence" and for "methodological diversity". The claim pipeline's scoring rules list none of them, and each rested on the old reading: fat burning and muscle were tested at one dose each, so they show neither a dose response nor a threshold; food intake did not rise significantly at high doses; the scale bonus counted 529 sleep participants as dose-modelled (the dose models had 200, 222 and 64) and called the testosterone review evidence that ruled out an effect; and only the sleep review gives threshold data. Without them the claim stays in the Moderate Certainty band. Source: Gardiner C, Weakley J, Burke LM, Roach GD, Sargent C, Maniar N, Huynh M, Miller DJ, Townshend A, Halson SL. The effect of alcohol on subsequent sleep in healthy adults: A systematic review and meta-analysis. Sleep Med Rev. 2025;80:102030.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Gardiner, Shelmet, Parr and Moosazadeh sweeps: the claim read in full against Mark's pastes of its seven papers and the Molina-Hidalgo trial

The claim on alcohol and fat burning: its certainty assessment included a bonus FitChef's scoring rules do not list, and is lowered (Moderate Certainty unchanged)

ClaimDoes Alcohol Stop Fat Burning? What the Lab Data Shows

What it said

The claim was rated Moderate Certainty, with a "methodological diversity" bonus in its assessment.

What it says now

The bonus is removed and its certainty is lowered; the tier stays Moderate Certainty.

Why, and the source

The assessment added a "methodological diversity" bonus for "indirect calorimetry vs isotope tracer mass spectrometry". The claim pipeline's scoring rules do not list that bonus, and both studies measured fat burning by indirect calorimetry. Without it the claim stays in the Moderate Certainty band. Source: Siler SQ, Neese RA, Hellerstein MK. De novo lipogenesis, lipid kinetics, and whole-body lipid balances in humans after acute alcohol consumption. Am J Clin Nutr. 1999;70:928-36.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Shelmet 1988 sweep (Q418): the claim read in full against Mark's pastes of Shelmet 1988, Siler 1999 and its other papers

A flat-muscles Short said a ketogenic diet's loss of fat-free mass was glycogen and water, not tissue; the trial also found a net loss of body protein on that diet

ShortWhat Flat Muscles Are Actually Losing on a Diet

What it said

The Short said "near-zero carb intake stripped 1.61 kilograms of fat-free mass in fourteen days", and "Not contractile tissue. Glycogen and the water that was holding onto it."

What it says now

It says the diet, "with about 10% of its calories from carbohydrate", took "1.61 kilograms of fat-free mass" off by DXA scan, that the authors judged the extra first-week weight loss likely mostly water, glycogen, protein and gut contents, and that "urine tests showed a net loss of body protein on that diet".

Why, and the source

The trial's ketogenic diet gave about 10% of its energy as carbohydrate. The scan measured fat-free mass, and the authors note that it reads acute shifts in body fluid as changes in fat-free mass. The authors put the greater weight loss in its first week, compared with the low-fat diet, likely down to differences in body water, glycogen, protein and gastrointestinal contents, and its nitrogen balance showed a greater net loss of body protein than the low-fat diet. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

Two Shorts cited a 2021 diet trial under composed titles

ShortThe Glycemic Index Works Perfectly. For the Wrong Outcome. ShortWhat Flat Muscles Are Actually Losing on a Diet

What it said

The Shorts cited "Hall et al. 2021 — Plant-based vs ketogenic diet metabolic ward crossover RCT" and "Hall et al. 2021 — Plant-Based vs Ketogenic Diet Crossover Trial".

What it says now

They cite "Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake (Hall et al. 2021)".

Why, and the source

That is the paper's title in Nature Medicine. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A glycemic-index Short said the higher-GI diet in a ward trial meant less food and more fat burned; on it people ate fewer calories but more food by weight and lost body fat faster, while more fat was burned on the ketogenic diet

ShortThe Glycemic Index Works Perfectly. For the Wrong Outcome.

What it said

The Short said the higher-GI diet "produced the opposite — less food consumed and more fat burned".

What it says now

It says the same 20 people "lost body fat about three times as fast" on that diet, which produced "fewer calories eaten and body fat coming off faster".

Why, and the source

In the trial, the same 20 people lost body fat at 51 grams a day on the plant-based, low-fat diet (the higher-GI one) against 16 on the ketogenic diet, and ate 689 fewer calories a day on it, although they ate more food by weight: 2,140 against 1,473 grams a day. Fat burned for fuel was higher on the ketogenic diet: 142 against 49 grams a day. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Rule 30 sweep of Hall et al. 2021 (Q575): every page citing it read in full against the paper

A rest-day bloating Short told rest-day puffiness as glycogen refilling for certain, crediting a study that measured a water ratio

What it said

The Short opened its summary with "Rest-day bloating is glycogen repletion, not fat gain" above a source line for the water-ratio study, said "All of it is visible", and answered whether rest-day puffiness means you ate too much with a plain no.

What it says now

It says "Rest-day bloating can come from glycogen refilling, not fat gain", that the water can show, and answers "Not necessarily."

Why, and the source

The study measured how much water muscle stores with glycogen after cycling; it did not measure puffiness or body fat on a rest day. That rest-day puffiness comes from glycogen refilling is the Short's explanation from its sources, not a measured finding. Source: Fernández-Elías VE, Ortega JF, Nelson RK, Mora-Rodriguez R. Relationship between muscle water and glycogen recovery after prolonged exercise in the heat in humans. Eur J Appl Physiol. 2015;115:1919-1926.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (lead L4) and Q432: the page read in full against Mark's re-pastes of the water-ratio study and the position stand

A rest-day bloating Short cited a 2021 diet trial under a composed title and overstated its first-week weight finding

What it said

The Short cited "Plant-Based vs Ketogenic Diet (Hall et al. 2021)" and noted that "Early diet-phase weight changes are primarily water, glycogen, and GI contents — not fat".

What it says now

It cites "Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake (Hall et al. 2021)" and notes the greater first-week weight loss on the low-carbohydrate diet, "likely primarily due to differences in body water, glycogen, protein and gastrointestinal contents".

Why, and the source

That is the paper's title in Nature Medicine. The authors attribute the greater weight loss in the first week of the low-carbohydrate diet, compared with the low-fat diet, to differences in body water, glycogen, protein and gastrointestinal contents, and call it likely. Source: Hall KD, Guo J, Courville AB, et al. Effect of a plant-based, low-fat diet versus an animal-based, ketogenic diet on ad libitum energy intake. Nat Med. 2021;27:344-353.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (lead L4) and Q432: the page read in full against Mark's re-pastes of the water-ratio study and the position stand

A rest-day bloating Short cited a muscle-water study under a shortened title and with details its abstract does not give

What it said

The Short cited "Relationship between muscle water and glycogen recovery (Fernandez-Elias et al. 2015)" and described the study as "a randomized controlled trial" of "9 aerobically trained males" with "Muscle biopsies (vastus lateralis)".

What it says now

It cites "Relationship between muscle water and glycogen recovery after prolonged exercise in the heat in humans" and describes nine aerobically trained subjects tested on two occasions.

Why, and the source

That is the paper's full title. Its abstract, the copy the Short rests on, describes nine aerobically trained subjects tested on two occasions, with biopsies before, 1 and 4 h after exercise; it does not say the order was randomized, that all were men, or which muscle was sampled. Source: Fernández-Elías VE, Ortega JF, Nelson RK, Mora-Rodriguez R. Relationship between muscle water and glycogen recovery after prolonged exercise in the heat in humans. Eur J Appl Physiol. 2015;115:1919-1926.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (lead L4) and Q432: the page read in full against Mark's re-pastes of the water-ratio study and the position stand

A rest-day bloating Short said a glycogen-water ratio shifts with the carbohydrate eaten; in the study it shifted with the water drunk

What it said

The Short said "the exact ratio may shift depending on how you train and how much carbohydrate you eat afterward", that biopsies "revealed exactly how much water follows glycogen", that "Skeletal muscle runs on the same mechanism", and that the ratio after resistance training "has not been directly measured via biopsy".

What it says now

It says the ratio comes from nine aerobically trained people recovering from 150 minutes of cycling in the heat and "also moved with how much they drank": 1:3 with only 400 mL of water, 1:17 with enough to replace the fluid they had lost.

Why, and the source

Both trials in the study gave the same 250 g of carbohydrate; only the water differed (400 mL, or enough to match fluid losses). The authors report 1:3 with the insufficient water and 1:17 with full rehydration, likely due to water storage not bound to glycogen, and conclude that each gram of glycogen is stored in human muscle with at least 3 g of water. None of the Short's sources measured the ratio after resistance training. Source: Fernández-Elías VE, Ortega JF, Nelson RK, Mora-Rodriguez R. Relationship between muscle water and glycogen recovery after prolonged exercise in the heat in humans. Eur J Appl Physiol. 2015;115:1919-1926.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (lead L4) and Q432: the page read in full against Mark's re-pastes of the water-ratio study and the position stand

A rest-day bloating Short put the water regained after training at about a kilogram; its own figures give roughly 350 to 470 grams

What it said

The Short multiplied all 300 to 400 grams of muscle glycogen by three: "You get 900 to 1,200 grams of water shifting into your muscles as they refuel", "the shift can exceed a kilogram of water in a single rest day", and its graphic showed about one kilogram. It also said "Training depletes muscle glycogen by roughly 39%".

What it says now

It says six sets of leg extensions cut glycogen in the working thigh muscle by about 39%, and that if every muscle lost that much, refilling would bring back "roughly 350 to 470 grams of water", which it marks as FitChef's arithmetic, not a measurement.

Why, and the source

The ISSN position stand gives skeletal muscle glycogen stores of 300 to 400 grams and a 39% drop in one thigh muscle (the vastus lateralis) after six sets of 12RM leg extension. At three grams of water per gram of glycogen, a 39% drop across 300 to 400 grams is 117 to 156 grams of glycogen and 351 to 468 grams of water. None of the sources measured a whole-body glycogen or water figure. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (lead L4) and Q432: the page read in full against Mark's re-pastes of the water-ratio study and the position stand

A chocolate milk Short said it performed identically to sports drinks with "No advantage. Not one."; the review found no significant pooled difference and called it similar or superior

ShortThe Recovery Drink That Works for the Wrong Reasons

What it said

The Short said "chocolate milk performed identically to every other drink with similar macros." and "No advantage. Not one.", and that "Twelve controlled trials found no advantage over sports drinks on any recovery marker".

What it says now

It says that pooled, "none of the five showed a significant difference", that chocolate milk "held its own against the other drinks", and that split by comparison drink "it pulled ahead of the other drinks once".

Why, and the source

The meta-analysis (Amiri et al. 2019) found "no effect on TTE, RPE, HR, serum lactate, and CK (P > 0.05) compared to placebo or other sport drinks" when pooled; split by comparison drink, chocolate milk increased time to exhaustion against "carbohydrate, protein, and fat-containing beverages (MD = 6.13 min, 95% CI: 0.11, 12.15, P = 0.046)"; its authors conclude it "provides either similar or superior results". A difference that is not significant is not a finding that two drinks performed identically. Source: Amiri M, Ghiasvand R, Kaviani M, et al. Chocolate milk for recovery from exercise: a systematic review and meta-analysis of controlled clinical trials. Eur J Clin Nutr. 2019;73:835-849.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full, its Amiri 2019 lines against the passages of Mark's July PDF (his waiver, M241, 2026-10-11)

A chocolate milk Short said four independent analyses found carb timing gives zero body-composition advantage; two researchers co-wrote three of the four, and FitChef's claim concludes little or no advantage

ShortThe Recovery Drink That Works for the Wrong Reasons

What it said

The Short said "CL-008 synthesis across 4 independent analyses: carb timing produces zero body-composition advantage for once-daily trainers", rated it strong, and said that for once-a-day trainers when you eat your carbs around the workout "changes nothing about body composition".

What it says now

It says "CL-008 synthesis of 4 analyses (three of them co-written by the same two researchers): carb timing produces no meaningful body-composition advantage", rates it moderate, and says timing "likely makes little or no difference to body composition".

Why, and the source

Brad J Schoenfeld and Alan A Aragon are authors of the ISSN nutrient timing position stand, whose reference list gives them as authors of the anabolic-window review and of the 2013 protein-timing meta-analysis that the carb-timing claim also uses. The stand says that outside rapid recovery "the importance of timed carbohydrate ingestion is notably decreased". FitChef re-weighed the claim on 13 October 2026 to Moderate Certainty; it concludes that rearranging carbs around workouts likely gives little or no body-composition advantage, and none of its four sources tested that directly. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste of the position stand

A chocolate milk Short gave a position stand's rapid-refuelling window as four to eight hours and as the only case where timing matters; the stand says under four hours

ShortThe Recovery Drink That Works for the Wrong Reasons

What it said

The Short said the post-workout countdown "applies to one scenario: athletes training again within four to eight hours" and "That is the only population where rapid glycogen replenishment changes outcomes", and that for everyone else eating enough "produces the same recovery outcome regardless of timing".

What it says now

It says it "applies mainly to athletes with less than four hours to recover before training again", and that for everyone else the stand "ranks getting enough protein and carbohydrate across the day above their timing".

Why, and the source

The ISSN position stand recommends its rapid-refuelling strategies "If rapid restoration of glycogen is required (< 4 h of recovery time)", and says post-exercise carbohydrate timing matters most in two situations: rapid restoration of muscle glycogen, and inadequate carbohydrate intake. It ranks timing below "the ingestion of optimal amounts of daily protein", and says that outside rapid recovery "the importance of timed carbohydrate ingestion is notably decreased", not that timing makes no difference. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste of the position stand

A chocolate milk Short said protein alone saturates the insulin signal muscles need for recovery; the source says insulin's effect on muscle breakdown plateaus

ShortThe Recovery Drink That Works for the Wrong Reasons

What it said

The Short said "The insulin signal your muscles need for recovery maxes out at a level that protein alone achieves" and that extra carbohydrate "does not increase muscle-building signaling".

What it says now

It says "Insulin's brake on muscle breakdown plateaus at a level that protein alone achieves" and quotes the stand: carbohydrate "likely exerts minimal influence".

Why, and the source

The ISSN position stand on nutrient timing says "insulin-mediated effects on reducing proteolysis plateau within a range of ~ 15–30 μIU/mL", reached by "a 45 g bolus of whey protein isolate alone", and that post-workout carbohydrate "likely exerts minimal influence from a muscle development standpoint provided adequate protein is consumed". It describes a plateau in insulin's effect on muscle breakdown, not a saturated recovery signal. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste of the position stand

The claim on how many drinks is too many said a testosterone review showed alcohol does not affect testosterone at moderate levels; the review found higher levels at low and moderate intake, and its authors conclude alcohol lowers testosterone

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

The claim said the testosterone explanation "is factually unsupported by the largest dataset that has tested it", that "Testosterone is not affected at moderate levels", and cited the review in "Archives of Sexual Behavior".

What it says now

It says "A separate review of 17 observational studies of more than 18,000 men found no significant overall difference", that men with low and moderate intake "had higher testosterone on average", and that the authors "still conclude that alcohol has a “negative significant effect” on testosterone".

Why, and the source

Moosazadeh et al. (2024, International Journal of Preventive Medicine) pooled 24 comparisons from 17 observational studies of men: testosterone SMD 0.03, not significant overall; significantly higher in the low (0.19) and medium (0.22) intake groups, not different in the high-intake group. Its discussion and conclusion report a negative effect of alcohol on testosterone, so it does not show that testosterone is unaffected. FitChef keeps no source calling it the largest dataset on the question. Source: Moosazadeh M, et al. Association of the Effect of Alcohol Consumption on Luteinizing Hormone (LH), Follicle-Stimulating Hormone (FSH), and Testosterone Hormones in Men: A Systematic Review and Meta-Analysis. Int J Prev Med. 2024;15:75.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Gardiner, Shelmet, Parr and Moosazadeh sweeps: the claim read in full against Mark's pastes of its seven papers and the Molina-Hidalgo trial

The claim on how many drinks is too many called 256 calories per occasion untracked food that scales with dose and is never compensated the next day; 256 included the drink, the food part was about 82, and the next day was not reported

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

The claim said "drinking adds an extra 256 untracked calories per occasion from food, with zero compensatory reduction the next day. The surplus that scales with dose is the plate, not the glass." and that two weekend occasions "quietly erase about 24% of your weekly progress".

What it says now

It says people "ate on average about 82 more calories of food at a meal or snack" after a drink, that "counting the drink itself, total intake was about 256 calories higher", and that "Pooled, the rise in food intake at high doses, 30 g or more, was not significant".

Why, and the source

The review (Kwok et al. 2019) found food energy intake 343 kJ (about 82 kcal) higher in 12 studies and total energy intake, drink included, 1072 kJ (about 256 kcal) higher in 8 of those studies, at lab meals or snacks. Pooled, the food rise at high doses was not significant; the one study in the review that tested several doses found a rise only after 32 g, and the authors call for more research on dose. The review reports no next-day measure. It is published in the British Journal of Nutrition. Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121:481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Gardiner, Shelmet, Parr and Moosazadeh sweeps: the claim read in full against Mark's pastes of its seven papers and the Molina-Hidalgo trial

The claim on how many drinks is too many told the muscle study's mechanism as settled and "not testosterone", and said every group in a training trial built lean mass regardless of drinking

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

The claim said the muscle study identified "the mechanism as direct mTOR signaling impairment — not testosterone suppression", that "every group built lean mass regardless of drinking condition", and that "a 10-week training study found moderate daily drinking did not prevent lean mass gains".

What it says now

It says the authors write that the drop "was “likely mediated, at least in part” by that signalling, a mechanism they call “still poorly defined”", and that in the training trial "The participants chose whether to drink, and the authors say the trial may have been too small to show differences between the drinks".

Why, and the source

Parr et al. (2014) found mTOR phosphorylation lower with alcohol and call the alcohol-induced fall in protein synthesis "likely mediated, at least in part" by mTORC1 signalling, a mechanism "still poorly defined"; they did not measure testosterone. In Molina-Hidalgo et al. (2019), participants chose whether to receive alcohol, drank beer or vodka with meals, trained twice a week, and gained about 5% lean mass in every training group; the authors say the study could be underpowered to show differences between drinks. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol ingestion impairs maximal post-exercise rates of myofibrillar protein synthesis following a single bout of concurrent training. PLoS One. 2014;9(2):e88384.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Gardiner, Shelmet, Parr and Moosazadeh sweeps: the claim read in full against Mark's pastes of its seven papers and the Molina-Hidalgo trial

The claim on how many drinks is too many opened with national drinking guidelines it had no saved source for, and said a dose "has never been directly measured in any published study"

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

The claim said "One country just lowered the limit to two per week. Another removed all limits entirely." and "What two or three drinks does to your muscle building has never been directly measured in any published study."

What it says now

It says "None of the studies behind this page measured what two or three drinks do to muscle protein building." The guideline lines are removed.

Why, and the source

FitChef keeps no copy of the guidelines the deck referred to, so the line could not be checked. A statement about all published research goes beyond the studies the page rests on; the page now says what its own studies measured. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol ingestion impairs maximal post-exercise rates of myofibrillar protein synthesis following a single bout of concurrent training. PLoS One. 2014;9(2):e88384.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Gardiner, Shelmet, Parr and Moosazadeh sweeps: the claim read in full against Mark's pastes of its seven papers and the Molina-Hidalgo trial

The claim on how many drinks is too many cited the weight review as a journal article; the version FitChef checked is the SSRN preprint

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

The claim cited "Golzarand et al., 2021, Critical Reviews in Food Science and Nutrition" with the journal DOI.

What it says now

It cites "Golzarand et al., SSRN preprint, not peer reviewed, 127 studies".

Why, and the source

Every figure the page gives from this review was checked against its SSRN preprint, which states that it "has not been peer reviewed". The journal version was not available to check, so the page cites the preprint. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Gardiner, Shelmet, Parr and Moosazadeh sweeps: the claim read in full against Mark's pastes of its seven papers and the Molina-Hidalgo trial

The claim on how many drinks is too many said moderate drinking showed no measurable association with weight gain (OR 1.03); moderate drinkers had no significant link with overweight and 16% lower odds of obesity, in mostly snapshot studies

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

The claim said "moderate drinking showed no measurable association with weight gain.", that the risk becomes significant "above roughly two drinks per day, sustained over time", and gave moderate intake "OR 1.03 for overweight (NS)" and heavy intake "OR 1.17 overweight males".

What it says now

It says moderate drinkers "showed no significant link with being overweight and had 16% lower odds of obesity than non- or light drinkers", that heavy drinkers "had 40% higher odds of overweight or obesity", and that most studies "were cross-sectional snapshots".

Why, and the source

Golzarand et al. (SSRN preprint) found moderate intake (14-28 g a day) not significantly linked with overweight (OR 1.00), overweight/obesity (0.97) or abdominal obesity (1.00), and linked with 16% lower odds of obesity (0.84), against non- or light drinkers; heavy intake (over 28 g) with higher odds of overweight (1.11), overweight/obesity (1.40) and abdominal obesity (1.24), though not of obesity on its own (0.93). These dose results come from its cross-sectional studies, 114 of its 127; pooled, its cohort studies found no significant link. OR 1.03 is its highest-vs-lowest obesity result. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Gardiner, Shelmet, Parr and Moosazadeh sweeps: the claim read in full against Mark's pastes of its seven papers and the Molina-Hidalgo trial

The claim on how many drinks is too many said fat burning dropped 73 to 87 percent at about two drinks and recovers within four to six hours; the 87% followed a larger dose by vein, and neither study measured recovery

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

The claim said "fat oxidation dropped 73 to 87 percent within the first hour of alcohol exposure", that "the pause resolves within four to six hours", gave the intravenous study's sample as "n=4. IV route (not oral)", and called the oral study "crossover experimental with isotope tracing".

What it says now

It says the intravenous study's men's "fat burning fell 87% within the hour", that after two vodka drinks "their fat burning was 73% lower one to two hours later", and that "Neither followed fat burning until it recovered".

Why, and the source

Shelmet et al. (1988) gave six men 0.75 g/kg of ethanol by vein over 30 minutes; fat oxidation was 87% lower at 60 minutes and, after a glucose infusion at 60 minutes, still far below its start when the 4-hour study ended. Siler et al. (1999) gave eight men 24 g by mouth and measured fat oxidation once before and once 1-2 hours after (73% lower), with no alcohol-free control. Neither measured when fat burning recovered. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Gardiner, Shelmet, Parr and Moosazadeh sweeps: the claim read in full against Mark's pastes of its seven papers and the Molina-Hidalgo trial

The claim on how many drinks is too many said two drinks delay REM sleep by 18 minutes and that the REM cost is 2.4 times the sleep-onset benefit; the 18 minutes is the review's average across doses, and 2.4 is a ratio of two doses

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

The claim said "two standard drinks delays the onset of REM sleep by 18 minutes", "At that dose, the REM cost is 2.4 times larger than the sleep-onset benefit.", "You will not feel it the next morning. Your sleep tracker will.", and that disrupted REM "affects the hormones that control your appetite the next day".

What it says now

It says "REM sleep started on average 18 minutes later after alcohol than without it in the 14 studies that measured it, across the doses they gave", that the delay "became significant from about 0.35 g of alcohol per kg", and that falling asleep got significantly faster only at "a dose about 2.4 times the one at which the REM delay became significant".

Why, and the source

In Gardiner et al. (2024), REM sleep onset was 18.0 minutes later overall in the 14 studies that measured it (29 effect sizes, 212 participants); in the dose model the delay became significant from about 0.35 g/kg, about two standard drinks of 10 g. Sleep onset was significantly shorter only from about 0.85 g/kg; 0.85 / 0.35 is a ratio of doses. Subjective sleep was not pooled, and the review measured no appetite, recovery or training. The review gives no total of participants: the page's 529, given as the sample of each finding, adds up its table of studies, two of which report the same data set. Source: Gardiner C, Weakley J, Burke LM, Roach GD, Sargent C, Maniar N, Huynh M, Miller DJ, Townshend A, Halson SL. The effect of alcohol on subsequent sleep in healthy adults: A systematic review and meta-analysis. Sleep Med Rev. 2025;80:102030.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Gardiner, Shelmet, Parr and Moosazadeh sweeps: the claim read in full against Mark's pastes of its seven papers and the Molina-Hidalgo trial

The claim on how many drinks is too many described a staircase of four measured thresholds; only sleep was modelled across doses, and fat burning and muscle were tested at one dose each

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

The claim said "Your body does not have one alcohol threshold. It has at least four", that "Fat burning responds at roughly the same dose" as sleep, and that "the evidence shows the lowest-cost threshold begins at approximately two drinks per occasion".

What it says now

It says "Sleep is the one outcome here with a dose model", that fat burning was "tested at one dose per study", and "So the answer is not one threshold but four outcomes, tested in four different ways".

Why, and the source

Gardiner et al. (2024) modelled sleep across doses. Shelmet et al. (1988) and Siler et al. (1999) each gave one dose and measured fat burning; Parr et al. (2014) gave one dose (about 12 drinks) and measured muscle protein synthesis; the weight review compared intake bands in mostly cross-sectional studies. A dose at which fat burning or muscle building starts to respond was not measured, so the page cannot rank them as steps. Source: Gardiner C, Weakley J, Burke LM, Roach GD, Sargent C, Maniar N, Huynh M, Miller DJ, Townshend A, Halson SL. The effect of alcohol on subsequent sleep in healthy adults: A systematic review and meta-analysis. Sleep Med Rev. 2025;80:102030.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Gardiner, Shelmet, Parr and Moosazadeh sweeps: the claim read in full against Mark's pastes of its seven papers and the Molina-Hidalgo trial

The claim on alcohol and fat burning misreported the oral study it rests on: how fat burning was measured, its design, and how much new fat it found

ClaimDoes Alcohol Stop Fat Burning? What the Lab Data Shows

What it said

The claim said the second team "tracked where every atom went using mass spectrometry" and "73% suppression over six hours", called the study a crossover, and said "less than one gram of new body fat was created" from "a full dose".

What it says now

It says the team "measured their fat burning the same way" as the first, that "One to two hours later, fat burning was 73% lower", and that "the liver made about 0.8 g of new fatty acids in the six hours after the two drinks".

Why, and the source

Siler et al. (1999) measured lipid oxidation by indirect calorimetry, as Shelmet did, once before and once one to two hours after 24 g of alcohol; their isotope tracers measured new fat production, fat release and acetate. Both admissions included alcohol, compared before and after, with no alcohol-free control. New fatty acids made over 6 hours came to 0.80 ± 0.10 g, an upper-bound estimate under 5% of the dose; the authors attribute the change in fat balance to acetate replacing fat as fuel. The block's schema also named the study under another paper's title. Source: Siler SQ, Neese RA, Hellerstein MK. De novo lipogenesis, lipid kinetics, and whole-body lipid balances in humans after acute alcohol consumption. Am J Clin Nutr. 1999;70:928-36.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Shelmet 1988 sweep (Q418): the claim read in full against Mark's pastes of Shelmet 1988, Siler 1999 and its other papers

The claim on alcohol and fat burning called 256 calories per drinking occasion extra food that no tracking app shows; that figure includes the drink, and the food part was about 82 calories

ClaimDoes Alcohol Stop Fat Burning? What the Lab Data Shows

What it said

The claim said "people consume roughly 256 extra calories of food per drinking occasion — and those surplus calories don’t show up in any tracking app".

What it says now

It says people "ate on average about 82 more calories of food at a meal or snack" after an alcoholic drink and that "counting the drink itself, total intake was about 256 calories higher".

Why, and the source

The review (Kwok et al. 2019) found food energy intake 343 kJ (about 82 kcal) higher in 12 studies and total energy intake, drink included, 1072 kJ (about 256 kcal) higher in 8 of those studies, at lab meals or snacks. It reports no next-day measure. Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121:481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Shelmet 1988 sweep (Q418): the claim read in full against Mark's pastes of Shelmet 1988, Siler 1999 and its other papers

The claim on alcohol and fat burning said a binge cut muscle recovery by 24-37%; the study measured muscle protein synthesis

ClaimDoes Alcohol Stop Fat Burning? What the Lab Data Shows

What it said

The claim said "binge-level drinking reduced muscle recovery by 24–37% after exercise" and that "muscle repair dropped by roughly a quarter to over a third".

What it says now

It says "about 12 drinks over three hours after a training session cut muscle protein building by 24% when taken with protein, and by 37% with carbohydrate in place of protein, against protein alone".

Why, and the source

Parr et al. (2014) gave eight active men 1.5 g/kg of alcohol (12 ± 2 standard drinks) over three hours after a training session; myofibrillar protein synthesis was 24% lower with alcohol and protein, and 37% lower with alcohol and carbohydrate, than with protein alone. Recovery of performance was not the measure. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol ingestion impairs maximal post-exercise rates of myofibrillar protein synthesis following a single bout of concurrent training. PLoS One. 2014;9(2):e88384.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Shelmet 1988 sweep (Q418): the claim read in full against Mark's pastes of Shelmet 1988, Siler 1999 and its other papers

The claim on alcohol and fat burning said moderate drinking showed no link with obesity; the review it cites found 16% lower odds of obesity in moderate drinkers, against non- or light drinkers

ClaimDoes Alcohol Stop Fat Burning? What the Lab Data Shows

What it said

The claim said the review "found no significant association between moderate alcohol intake and obesity", that "moderate drinkers actually had lower odds of obesity than non-drinkers", and gave it "127 studies and over 600,000 participants".

What it says now

It says moderate drinkers "showed no significant link with being overweight and had 16% lower odds of obesity than non- or light drinkers", and cites the review "from its preprint (not peer reviewed)".

Why, and the source

Golzarand et al. (SSRN preprint, not peer reviewed; 127 studies, 1,620,177 participants) found moderate drinking (14-28 g a day) linked with 16% lower odds of obesity than non- or light drinking (OR 0.84) and not significantly with overweight; heavy drinking with higher odds of overweight (OR 1.11) and of overweight or obesity (OR 1.40), but not of obesity on its own (OR 0.93, not significant). The non-significant obesity result (OR 1.03, 68 studies, 645,227 people) compares the highest with the lowest intake, not moderate drinking. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Shelmet 1988 sweep (Q418): the claim read in full against Mark's pastes of Shelmet 1988, Siler 1999 and its other papers

The claim on alcohol and fat burning told a story of social-media creators escalating the duration from 36 to 72 hours, with no source for it

ClaimDoes Alcohol Stop Fat Burning? What the Lab Data Shows

What it said

The claim said "Each creator outbid the last — from 36 to 48 to 72 hours — because bigger numbers get more clicks", that "Zero new evidence was generated between any escalation step", that the number "is wrong by roughly a factor of ten", and named a doctor's TikTok "claiming 36 hours (29,100 likes)".

What it says now

Those lines are removed. It says "You may have read that a night of drinking stops fat burning for 48 hours" and "Not from the studies behind this page."

Why, and the source

No copy of the posts, their figures or their reach is in FitChef's source files, so none of it could be checked. The page now names only the 48-hour question readers ask and what the two lab studies measured. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Shelmet 1988 sweep (Q418): the claim read in full against Mark's pastes of Shelmet 1988, Siler 1999 and its other papers

The claim on alcohol and fat burning drew dose and population conclusions its two studies do not test, and cited a study about swapping alcohol for carbohydrate that is not in its evidence

ClaimDoes Alcohol Stop Fat Burning? What the Lab Data Shows

What it said

The claim said "The two data points we have suggest the cost scales with how much you drink", that "Five drinks means roughly twice the waste product that two drinks creates", that "Women generally have less alcohol dehydrogenase and different body composition", and that "In a different study where alcohol replaced carb calories instead of adding extra, fat burning started coming back within the same day".

What it says now

It says "Neither study compared doses for fat burning", that the 87% and 73% "are not a dose comparison", and that the second study's authors chose men "because of sex differences in ethanol metabolism".

Why, and the source

Neither Shelmet et al. (1988, 0.75 g/kg by vein) nor Siler et al. (1999, 24 g by mouth) compared doses for fat burning; their two figures come from different routes, doses and times. Shelmet et al.'s clamp studies compared two steady alcohol levels on glucose disposal and other measures, not fat burning, and found no difference. Siler et al. give sex differences in ethanol metabolism as their reason for studying only men. No paper behind the page reports the carbohydrate-swap result or the lines on women's enzymes and body composition. Source: Siler SQ, Neese RA, Hellerstein MK. De novo lipogenesis, lipid kinetics, and whole-body lipid balances in humans after acute alcohol consumption. Am J Clin Nutr. 1999;70:928-36.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Shelmet 1988 sweep (Q418): the claim read in full against Mark's pastes of Shelmet 1988, Siler 1999 and its other papers

The claim on alcohol and fat burning misreported the intravenous study it rests on: its sample, its method, a composed quote and what its tracer and clamp results show

ClaimDoes Alcohol Stop Fat Burning? What the Lab Data Shows

What it said

The claim gave the study's sample as "n=14 for this protocol", gave its tracer protocol the design "within-subject crossover experimental metabolic study", said researchers "measured fat burning second by second using breath analysis", quoted "Ethanol suppressed basal fat oxidation by 87% (from 72±3 to 9±3 mg/min) and total 4-hour integrated fat oxidation by 79% in healthy fasting males receiving IV ethanol", gave "100.7% recovery of administered 14C as 14CO2", and said effects "persisted after ethanol had been cleared from the plasma during clamp studies".

What it says now

It says "six men, reclining in hospital beds", fat burning "measured from their breathing every 30 minutes", gives the tracer protocol as a "metabolic study with labelled ethanol (protocol 3: every man received alcohol; no saline control)", quotes the paper's own sentence ("Ethanol infusion suppressed fat oxidation by 87% from 72±3 (at 0 min) to 9±3 mg/min per 1.73 m2 (at 60 min)"), and says the authors "suggest that the effects were probably caused by one or more of alcohol's metabolites".

Why, and the source

In Shelmet et al. (1988), fat oxidation was measured in six men (14 took part across four protocols), by indirect calorimetry every 30 minutes, with a glucose infusion at 60 minutes. Its tracer protocol gave every man alcohol, with no saline control. The 100.7% is the share of the ethanol metabolized in 4 hours that was oxidized (36% of the dose was metabolized). In the clamp studies, two steady ethanol levels made no difference, which the authors explain by ethanol oxidation already being maximal at the lower level; they suggest the effects were probably caused by metabolites, name none, and did not investigate why ethanol is burned first. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Shelmet 1988 sweep (Q418): the claim read in full against Mark's pastes of Shelmet 1988, Siler 1999 and its other papers

The claim on alcohol and fat burning said the drop in fat burning lasts four to six hours; the studies stopped measuring while it was still low, and neither shows when it recovers

ClaimDoes Alcohol Stop Fat Burning? What the Lab Data Shows

What it said

The claim said "the measured duration is 4–6 hours", that "The actual window is 4–6 hours across two studies", that the drop "lasts about as long as a movie and its sequel", and that "The research suggests the suppression runs its course while you sleep after a moderate evening".

What it says now

It says "neither shows how long the drop lasts, whether 48 hours or a few", and that "Four hours was how long the first study measured, not how long the drop lasted."

Why, and the source

Shelmet et al. (1988) measured fat oxidation for 4 hours after an intravenous dose: it fell 87% by 60 minutes, fell further after a glucose infusion, and at 240 minutes, when the study ended, was 11 against a starting 72 mg/min per 1.73 m2. Siler et al. (1999) measured it once after two drinks, one to two hours later (73% lower). Neither study measured when fat burning recovered, so neither supports a duration of 48 hours or of four to six hours. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

the Q422 Rule 30 sweep of Kwok 2019, with the Shelmet 1988 sweep (Q418): the claim read in full against Mark's pastes of Shelmet 1988, Siler 1999 and its other papers

The claim on drinking and weight said 1.6 million people showed no weight effect of moderate drinking; the review found higher odds of overweight at the highest intake, and the obesity null it cited was not about moderate drinking

What it said

The claim said "the calorie math predicts 13 pounds a year, and 1.6 million people show nothing", that "The association between moderate drinking and obesity was essentially zero", and that "moderate drinking does not lead to weight gain".

What it says now

It says the highest drinking category had "11% higher odds of being overweight", that "Obesity on its own was the exception", and that "moderate drinking showed no higher odds of excess weight, and heavy drinking did".

Why, and the source

Golzarand et al. (SSRN preprint) pooled 127 observational studies. In the cross-sectional studies, the highest intake had higher odds than the lowest of overweight (OR 1.11), overweight/obesity (OR 1.23) and abdominal obesity (OR 1.19); obesity was not significant (OR 1.03), and that comparison is highest against lowest intake, not moderate drinking. By intake level, moderate drinking (14-28 g a day) showed no significant link with three outcomes and heavy drinking (over 28 g a day) higher odds of them. The review tested no calorie prediction. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the claim read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The claim on drinking and weight carried lines no source supports: a celebrity's weight story, a health claim about organ fat, and a statement that moderate doses have never been studied for muscle

What it said

The claim said "Kelly Ripa quit alcohol in 2017, expected to lose weight, and gained 12 pounds", that "fat stored around your organs carries health risks that your total body weight does not show", and that "What happens at the two or three drinks most people actually have has never been measured."

What it says now

Those lines are removed. It says "this review did not measure" muscle and that the muscle study behind the next page "did not test two or three" drinks.

Why, and the source

None of the claim's sources mention the anecdote or the organ-fat risk. The muscle study it bridges to (Parr et al. 2014) tested one dose, 1.5 g/kg (12 ± 2 standard drinks); that says nothing about whether other studies measured lower doses. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol ingestion impairs maximal post-exercise rates of myofibrillar protein synthesis following a single bout of concurrent training. PLoS One. 2014;9(2):e88384.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the claim read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The claim on drinking and weight misreported the review it rests on: its cohort result, its size, its certainty wording and one of its numbers

What it said

The claim said the cohort studies showed "Zero significant weight associations. At any dose." and "Not borderline", called the review "The largest meta-analysis ever conducted" across "49 countries", quoted the researchers as saying "further research is very likely to change our confidence", and gave cross-sectional overweight as "OR 1.13 (95% CI: 1.05–1.22)".

What it says now

It says that, pooled, the cohort studies showed no significant link, "though some of them, taken one by one, found links in both directions", that they "were few, 2 to 7 per outcome", that "dropping one made the overweight-or-obesity result significant", quotes "We are very uncertain about the estimate.", and gives "OR 1.11 (95% CI: 1.05–1.18)".

Why, and the source

The review's cohort analysis compared the highest with the lowest intake (no dose analysis), with 2 to 7 studies per outcome; pooled, it showed no significant link, while single cohort studies did, in both directions; leaving out one study made overweight/obesity significant (OR 1.27). It prints no country count, and its authors say they knew of no earlier meta-analysis on the question; it does not call itself the largest. Its summary table rates every result very low, which GRADE defines as "We are very uncertain about the estimate."; the sentence the page quoted is GRADE's definition of low quality. Cross-sectional overweight was OR 1.11 (1.05 to 1.18). The page's source quote was not the review's wording; it now quotes the review. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the claim read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The claim on drinking and weight cited a peer-reviewed journal article for figures checked against the review's preprint, which had not been peer reviewed

What it said

The claim cited "Golzarand et al. (Critical Reviews in Food Science and Nutrition, 2021; DOI: 10.1080/10408398.2021.1925221)".

What it says now

It cites "Golzarand et al. (SSRN preprint 3752693, not peer reviewed; DOI: 10.2139/ssrn.3752693)", the version its figures were checked against.

Why, and the source

The copy behind the page is the SSRN preprint (abstract 3752693), which states: "This preprint research paper has not been peer reviewed." FitChef cites only the version it checked. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the claim read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The claim on drinking and weight compared moderate drinkers with non-drinkers, set the moderate band at one to two drinks, said moderate drinkers exercise more, eat better and earn more, and told regional results as moderate drinking, none of which the review reports

What it said

The claim said "Moderate drinkers had 16% lower odds of obesity than non-drinkers", that "Moderate drinkers tend to exercise more, eat better overall, and earn higher incomes", that "In North America, the link between moderate drinking and weight was zero", and that "Beer gets blamed because it is easier to drink enough of it to cross the heavy line".

What it says now

It says moderate drinkers, "14 to 28 g a day", had "16% lower odds of obesity than non- or light drinkers", gives "their own possible explanations", and says "The review's results by region compare the highest and lowest drinking categories, not moderate drinking".

Why, and the source

In the review the 16% lower odds of obesity are against non- or light drinkers, and moderate means 14 to 28 g of alcohol a day. As possible explanations the authors name illness-related abstaining, eating less after drinking and a healthy lifestyle, and call the causal link unclear. Its results by region compare the highest with the lowest intake: North American studies showed no significant difference on any of the four outcomes, studies from the other regions on some. It did not compare drink types. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the claim read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The claim on drinking and weight said the fat-burning pause after alcohol clears within a lab session; in the study it rests on, fat burning was still far below its start when the four-hour study ended

What it said

The claim said "The metabolic ward measurements show the effect clearing within a single session", that "The measured windows were four to six hours", and that "The 48-hour claim circulating on social media is not supported by the lab data."

What it says now

It says an intravenous dose "cut it 87% within an hour in six resting men, and it was still far below its start when the four-hour study ended", and that "Neither ran longer, so neither shows when fat burning returns to normal".

Why, and the source

Shelmet et al. (1988) infused 0.75 g/kg of ethanol into a vein of six men reclining in hospital beds: fat oxidation fell 87% by 60 minutes and was 11 against a starting 72 mg/min per 1.73 m2 at 240 minutes, when the study ended (a glucose infusion was also given). Siler et al. (1999) measured fat oxidation one to two hours after 24 g of alcohol by mouth. Neither study measured beyond its window. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the claim read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The claim on drinking and weight called 256 calories per drinking occasion extra food, split it into 174 from the drink and 82 from food, said nobody ate less the next day, and built deficit sums on it

What it said

The claim said "the 256 extra food calories each drinking occasion triggers", "174 from the drink you logged. 82 from the food", "Across all 22 experiments, nobody ate less the next day to compensate", that two wine nights cost "25% of your weekly progress" from the food, and "1,280 extra calories per week from food alone".

What it says now

It says people "ate on average about 82 more calories" at the meal or snack after a drink, "counting the drink itself, about 256 more", that "The review does not report what they ate the next day", and that logging the drinks leaves "about 164 calories, roughly 8% of the week".

Why, and the source

The review (Kwok et al. 2019) found food energy intake 343 kJ (about 82 kcal) higher in 12 studies and total energy intake, drink included, 1072 kJ (about 256 kcal) higher in 8 of those studies; it does not split the total. It reports no next-day measure, its two longest studies, of wine, found no significant change in total energy intake or body weight, and at high doses the rise in food intake was not significant. Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121:481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the claim read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The claim on drinking and weight said a 2015 review reached the same conclusion and that the pattern had been stable for over a decade; that review called the evidence conflicting, and it is a narrative update, not a systematic review

What it said

The claim said "A separate review reached the same conclusion six years earlier. The pattern has been stable for over a decade.", listed that review as a "Systematic review (narrative synthesis)", and said a beer belly is "not something unique to beer".

What it says now

It says "A separate review in 2015 reached a similar conclusion" from the studies that followed people over time, that "It also called the evidence conflicting, too limited for a strong conclusion", and that the review "cites a 2013 review that linked beer with measures of belly fat in men".

Why, and the source

Traversy & Chaput (2015), a narrative update, report that "recent prospective studies show that light-to-moderate alcohol intake is not associated with adiposity gain while heavy drinking is more consistently related to weight gain", that the results of those studies "have been varied and do not provide a clear picture", and that "the available evidence is conflicting and hampered by important limitations that preclude a strong conclusion". They also cite a 2013 systematic review showing positive associations between beer and measures of abdominal adiposity in men, with inconsistent results in women. Source: Traversy G, Chaput JP. Alcohol Consumption and Obesity: An Update. Curr Obes Rep. 2015;4:122-130.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the claim read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The study page on moderate drinking and weight said a 2015 review reached the same conclusion and that the finding had been stable for over a decade; that review called the evidence conflicting

StudyModerate Drinking and Weight: The 127-Study Surprise

What it said

The page said "A separate critical review reached the same conclusion six years before this review was published" and "The finding has been stable for over a decade", and its evidence card said "The conclusion held across the available research at the time."

What it says now

It says the review "reached a similar conclusion from the studies that followed people over time" and "also called the evidence conflicting, too limited for a strong conclusion".

Why, and the source

Traversy & Chaput (2015), a narrative update, report that "recent prospective studies show that light-to-moderate alcohol intake is not associated with adiposity gain while heavy drinking is more consistently related to weight gain", that the results of those studies "have been varied and do not provide a clear picture", and that "the available evidence is conflicting and hampered by important limitations that preclude a strong conclusion". Source: Traversy G, Chaput JP. Alcohol Consumption and Obesity: An Update. Curr Obes Rep. 2015;4:122-130.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The study page on moderate drinking and weight said less than one gram of a standard drink becomes body fat and called a lab study with an intravenous dose a metabolic ward study of what happens after a drink

StudyModerate Drinking and Weight: The 127-Study Surprise

What it said

The page said "less than one gram of a standard drink converts into new body fat" and that "a separate metabolic ward study tracked what happened to fat burning the moment alcohol entered the bloodstream".

What it says now

It says "eight men drank 24 g of alcohol in two vodka drinks", that "the body made less than one gram of new fat from it over six hours", and that a separate lab study "infused alcohol into a vein in six men lying in hospital beds".

Why, and the source

Siler et al. (1999) gave eight men 24 g of alcohol as two 12 g vodka drinks; the liver made at most about 0.8 g of new fatty acids over 6 hours (the authors' upper estimate), and fat oxidation fell 73% while carbohydrate oxidation did not change. Shelmet et al. (1988) infused 0.75 g/kg of ethanol into a vein in six men studied while reclining in hospital beds. Source: Siler SQ, Neese RA, Hellerstein MK. De novo lipogenesis, lipid kinetics, and whole-body lipid balances in humans after acute alcohol consumption. Am J Clin Nutr. 1999;70:928-36.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The study page on moderate drinking and weight cited a peer-reviewed journal article for figures checked against the review's preprint, which had not been peer reviewed

StudyModerate Drinking and Weight: The 127-Study Surprise

What it said

The page gave the journal as "Critical Reviews in Food Science and Nutrition" and marked the paper peer reviewed.

What it says now

It gives the source as "SSRN (preprint, not peer reviewed)", the version its figures were checked against.

Why, and the source

The copy behind the page is the SSRN preprint (abstract 3752693), which states: "This preprint research paper has not been peer reviewed." FitChef cites only the version it checked. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The study page on moderate drinking and weight quoted the review in sentences it does not contain and misreported its methods and details

StudyModerate Drinking and Weight: The 127-Study Surprise

What it said

The page gave as quotes "A total of 127 observational studies (n=1620177 participants) were included in the meta-analysis." and two other composed sentences, described "Dose-response restricted cubic splines", "49 countries" and "the largest evidence review ever assembled", and said "Adjusting for lifestyle factors like exercise and diet modestly reduced the apparent link".

What it says now

It quotes "In the present study, 127 eligible studies were included in the meta-analysis.", describes a "Dose-response analysis by three intake categories", lists the studies by region, says "The authors knew of no earlier meta-analysis on the question", and that "Studies that adjusted for confounders found links about the same size as studies that did not".

Why, and the source

The review's sentences are quoted as printed. It grouped intake into three categories (no splines), gives no country count, says its authors were aware of no earlier meta-analysis, and compared studies that adjusted for confounders with studies that did not (odds ratios 1.20 and 1.26 for overweight/obesity, 1.20 and 1.13 for abdominal obesity). The cohort samples ran from 5,540 to 10,370, and heterogeneity was significant for every pooled outcome but the cohort abdominal-obesity pool. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The study page on moderate drinking and weight split 256 calories into 174 from the drink and 82 from food, said nobody ate less the next day, and built deficit sums on 256 untracked calories

StudyModerate Drinking and Weight: The 127-Study Surprise

What it said

The page said "The breakdown: 174 from the drink itself and 82 from extra food", "Across all 22 experiments, nobody ate less the following day", and that two wine nights erase "nearly 25% of a week's progress".

What it says now

It says "people ate on average 343 kJ (about 82 kcal) more food at a test meal or snack after an alcoholic drink", that "Total energy intake, drink included, was 1072 kJ (about 256 kcal) higher", that "The review does not report what they ate the next day", and that logging the drinks leaves about 164 calories, roughly 8% of the week, untracked.

Why, and the source

The review (Kwok et al. 2019) found food energy intake 343 kJ (about 82 kcal) higher in 12 studies and total energy intake, drink included, 1072 kJ (about 256 kcal) higher in 8 of those studies; it does not split the total. It reports no next-day measure, and its two longer wine studies found no significant change in total energy intake or body weight. Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121:481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The study page on moderate drinking and weight compared moderate drinkers with non-drinkers, called a couple of glasses a week moderate, said the result held for every drink type, and said moderate drinkers exercise more, eat better and earn more, which the review does not report

StudyModerate Drinking and Weight: The 127-Study Surprise

What it said

The page said moderate drinkers had "16% lower odds of obesity than people who don't drink at all", that "If you're having a couple of glasses of wine a week" you were in that group, that "the overall pattern held regardless of beverage type", and that "Moderate drinkers tend to exercise more, eat better overall, and earn higher incomes".

What it says now

It says moderate drinkers (14 to 28 g a day) had "16% lower odds" of obesity "than non- or light drinkers", that "14 to 28 g a day is 98 to 196 g a week", that the review "could not say" whether drink type matters, and gives the authors' own cautions.

Why, and the source

In the review the 16% lower odds of obesity are against non- or light drinkers, and moderate means 14 to 28 g of alcohol a day. The authors did not compare drink types, "due to lacking information regarding source of alcohol in most included studies". As possible explanations for the U-shape they name illness-related abstaining, compensatory eating and a healthy lifestyle, and say the causal link "in unclear" because the studies were cross-sectional. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

The study page on moderate drinking and weight said 127 studies and 1.6 million people found no link between drinking and weight; the review found higher odds of overweight and belly fat at the highest intake, and the obesity null was not about moderate drinking

StudyModerate Drinking and Weight: The 127-Study Surprise

What it said

The page said the calorie math "127 research teams, studying 1.6 million people across 49 countries, couldn't confirm", that "Across 1.6 million people, the actual association with obesity was statistically zero", showed "0 difference observed" against "13 lbs/year predicted", and said its cohort studies "found zero significant associations".

What it says now

It says the highest drinking category had "11% higher odds of being overweight" and "19% higher odds of abdominal obesity", that obesity on its own "was the exception", that "Heavy drinkers had higher odds of excess weight. Moderate drinkers did not.", and that the cohort studies, pooled, "showed no significant link".

Why, and the source

Golzarand et al. (SSRN preprint) pooled 127 observational studies. In the cross-sectional studies, the highest intake had higher odds than the lowest of overweight (OR 1.11), overweight/obesity (OR 1.23) and abdominal obesity (OR 1.19); obesity was not significant (OR 1.03), and that comparison is highest against lowest intake, not moderate drinking. By intake level, heavy drinking (over 28 g a day) went with higher odds of three outcomes; moderate drinking (14-28 g a day) with none of them. Pooled, its 12 cohort studies (2 to 7 per outcome) showed no significant link for any outcome, though some single cohort studies did find significant links, in both directions. The review tested no calorie prediction. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of Golzarand (SSRN preprint) and its other papers

A Short on a month without alcohol said the weight loss had nothing to do with calories but with lifting a fat-burning blockade; the study it cites measured no mechanism, and in the lab study behind its figure alcohol was burned in place of fat rather than turned into it

ShortWhat a Month Without Alcohol Actually Does to Your Body

What it said

The Short said "the reason it dropped had nothing to do with cutting calories", that "less than one gram of alcohol actually converts to body fat", and that alcohol "suppresses fat burning by 87% per drinking occasion".

What it says now

It says "less than one gram of new fat was made from it in six hours" after 24 g of alcohol, that "the body burned the alcohol in place of fat, so fat it would otherwise have burned stayed stored", and that "The month study did not measure fat burning".

Why, and the source

Siler et al. (1999) gave eight men 24 g of alcohol by mouth: new fat made from it was at most 0.8 g over 6 hours (an upper-bound estimate), fat oxidation fell 73% while carbohydrate oxidation did not change, and the authors conclude that the liver "mediates the positive whole-body lipid balance induced by ethanol by providing acetate systemically, not through the direct conversion of ethanol to lipids". The 87% figure (Shelmet et al. 1988) was measured 60 minutes after the start of a 30-minute infusion of 0.75 g/kg into a vein, in six men at rest. Mehta et al. (2018) measured weight, insulin resistance, blood pressure, growth factors, blood lipids and liver tests, not fat burning. Source: Siler SQ, Neese RA, Hellerstein MK. De novo lipogenesis, lipid kinetics, and whole-body lipid balances in humans after acute alcohol consumption. Am J Clin Nutr. 1999;70:928-36.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its eight papers

A Short on a month without alcohol said testosterone barely changes at any intake level and that a month off will not raise it; the review it cites found higher levels at low and moderate intake, its authors conclude that alcohol lowers testosterone, and the month study did not measure it

ShortWhat a Month Without Alcohol Actually Does to Your Body

What it said

The Short said testosterone "barely changes at any intake level", that "The narrative that alcohol kills testosterone is not supported by the evidence", and that "A month off will not raise your hormone levels".

What it says now

It says "testosterone did not differ significantly between drinkers and non-drinkers overall", that "men in the low- and moderate-intake groups had higher levels on average", and that "The month study did not measure testosterone".

Why, and the source

Moosazadeh et al. (2024) pooled 24 comparisons from 17 observational studies of men: testosterone SMD 0.03 (95% CI -0.11 to 0.16), not significant, with high heterogeneity (I-square 93.2%); the low- and moderate-intake subgroups had significantly higher testosterone (SMD 0.19 and 0.22). The authors conclude that alcohol has a negative effect on testosterone. Its pooled figures compare drinkers with non-drinkers; Mehta et al. (2018) did not measure testosterone. Source: Moosazadeh M, Heydari K, Rasouli K, Azari S, Afshari M, Barzegari S, Nikaeen R, Kardan-Souraki M, Khani S, Motafeghi F, Hoseini A. Association of the Effect of Alcohol Consumption on Luteinizing Hormone (LH), Follicle-Stimulating Hormone (FSH), and Testosterone Hormones in Men: A Systematic Review and Meta-Analysis. Int J Prev Med. 2024;15:75.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its eight papers

A Short on a month without alcohol said alcohol delays deep sleep by nearly twenty minutes; the review found the delay in REM sleep, while deep sleep came slightly sooner on average

ShortWhat a Month Without Alcohol Actually Does to Your Body

What it said

The Short said "Alcohol delays the onset of deep, restorative sleep by nearly twenty minutes per drinking night" and "A month without it restores the full sleep architecture".

What it says now

It says alcohol "delayed the first REM sleep by 18 minutes on average", that "Deep sleep did not come later", and "No study here measured sleep after a month off".

Why, and the source

Gardiner et al. (Sleep Medicine Reviews, 2025) reviewed 27 studies. Pooled, REM sleep onset latency was 18.0 minutes longer after alcohol (14 studies), and the latency to deep (N3) sleep was 2.8 minutes shorter (6 studies), a shortening the review found only at high doses. Alcohol was given on the night of the sleep measured; none of its studies measured sleep after a month without alcohol. Source: Gardiner C, et al. Sleep Medicine Reviews. 2025;80:102030.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its eight papers

A Short on a month without alcohol said alcohol disrupts muscle rebuilding not through testosterone but directly, and that a month off lets it run clean; the study used one binge dose and measured no testosterone

ShortWhat a Month Without Alcohol Actually Does to Your Body

What it said

The Short said alcohol disrupts muscle rebuilding "not through testosterone, which barely changes at any intake level, but through a direct interference with the rebuilding process itself. A month off lets that process run clean."

What it says now

It says "eight active men drank about 12 standard drinks after a workout: muscle protein synthesis was 24% lower than with protein alone" and "That was a binge, no smaller dose was tested, and the month study did not measure muscle".

Why, and the source

Parr et al. (2014) gave one dose, 1.5 g per kg ("12±2 standard drinks"), after exercise: myofibrillar protein synthesis was 24% lower with alcohol plus protein than with protein alone, an effect the authors say was "likely mediated, at least in part" by mTORC1 signalling. The study measured no testosterone and did not follow anyone through a period off alcohol. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol Ingestion Impairs Maximal Post-Exercise Rates of Myofibrillar Protein Synthesis following a Single Bout of Concurrent Training. PLoS One. 2014;9(2):e88384.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its eight papers

A Short on a month without alcohol called the study's main outcome a surprise nobody predicted and said weight fell without any change in diet

ShortWhat a Month Without Alcohol Actually Does to Your Body

What it said

The Short said "So did something nobody predicted", that weight dropped "without any changes in diet, exercise, or smoking", that "The body's ability to regulate blood sugar improved by 26%", and that "researchers at University College London measured these combined effects".

What it says now

It says "the study’s main measure was insulin resistance", that the weight change "was not associated with changes in self-reported diet, exercise or smoking", and that the study was "run at the Royal Free hospital in London".

Why, and the source

In Mehta et al. (2018) the primary outcome was the change in insulin resistance (HOMA score), which fell 25.9%; weight was a secondary outcome. The changes were not associated with changes in self-reported lifestyle scores, but "A small change in diet score was noted" (p = 0.03). The study was conducted at the Royal Free London NHS Foundation Trust and did not measure fat burning, food intake, muscle or sleep. The link between the HOMA and weight changes was tested with Spearman's correlation (r = 0.04). Source: Mehta G, Macdonald S, Cronberg A, Rosselli M, Khera-Butler T, Sumpter C, Al-Khatib S, Jain A, Maurice J, Charalambous C, Gander A, Ju C, Hakan T, Sherwood R, Nair D, Jalan R, Moore KP. Short-term abstinence from alcohol and changes in cardiovascular risk factors, liver function tests and cancer-related growth factors: a prospective observational study. BMJ Open. 2018;8(5):e020673.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its eight papers

A Short on a month without alcohol said the link between moderate drinking and body composition is too small to reach significance; the review it rests on reports odds by daily grams, lower odds of obesity for moderate drinkers, and is a preprint

ShortWhat a Month Without Alcohol Actually Does to Your Body

What it said

The Short said "At moderate levels — a few drinks per week — the measurable relationship between alcohol and body composition is so small it does not reach statistical significance" and "Someone at half that level would see smaller shifts across every pathway".

What it says now

It says "drinking more than 28 g a day went with 40% higher odds of overweight or obesity than drinking little or none in the cross-sectional studies, while the cohort studies found no significant link" and "Whether lighter drinkers would see the same changes after a month off was not tested".

Why, and the source

Golzarand et al. (SSRN preprint, not peer reviewed) pooled 127 observational studies: in the cross-sectional studies, heavy drinking (more than 28 g a day) had 40% higher odds of overweight/obesity than non- or light drinking (OR 1.40), and moderate drinkers had 16% lower odds of obesity; the cohort studies found no significant relationship. Mehta et al. (2018) did not compare intake levels. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. SSRN preprint (not peer reviewed), abstract 3752693.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its eight papers

A Short on a month without alcohol said each drinking occasion adds 256 calories of food on top of the drink, never compensated the next day

ShortWhat a Month Without Alcohol Actually Does to Your Body

What it said

The Short said "Each drinking occasion adds roughly 256 extra calories — not just from the drink itself but from the food" and "Your body never compensates the next day".

What it says now

It says "people ate about 82 more calories at a meal or snack after an alcoholic drink" and "Counting the drink itself, total intake was about 256 calories higher".

Why, and the source

The review (Kwok et al. 2019) found food energy intake 343 kJ (about 82 kcal) higher and total energy intake, drink included, 1072 kJ (about 256 kcal) higher at test meals or snacks after alcohol, pooled from 12 and 8 studies. It reports no next-day measure, and its two long-term wine studies found no significant change in total energy intake. Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121:481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its eight papers

A post-workout alcohol Short said a low dose left muscle strength untouched; strength fell, the alcohol just added no extra loss

ShortYour Muscles Are Still Building When You Start Drinking

What it said

The Short said "roughly three to four drinks showed" "no measurable damage to muscle strength" in the days after intense exercise, that "The performance numbers didn’t move", and in its audio that muscle strength "didn’t budge".

What it says now

It says "strength fell in the days after, but" "no more than without alcohol", and that "That study measured strength, not rebuilding".

Why, and the source

Barnes et al. found "Significant decreases in all measures of muscular performance ... over time under both conditions" after 300 maximal eccentric contractions, and "no difference between treatments": the low dose of alcohol did not make the loss of strength worse. It did not leave strength unchanged. Source: Barnes MJ, Mündel T, Stannard SR. A low dose of alcohol does not impact skeletal muscle performance after exercise-induced muscle damage. Eur J Appl Physiol. 2011;111:725-729.

Found by

the Q387 Rule 30 sweep of Barnes 2010/2011: the page read in full against Mark's pastes

A post-workout alcohol Short gave the wrong muscle protein synthesis rates for the binge-drinking study

ShortYour Muscles Are Still Building When You Start Drinking

What it said

The Short gave the rates as "PRO = 0.032 ± 0.004%/h, ALC-PRO = 0.025 ± 0.003%/h (24% reduction, P<0.05), ALC-CHO = 0.020 ± 0.003%/h (37% reduction, P<0.05)".

What it says now

It gives "PRO = 0.052 ± 0.008%/h, ALC-PRO = 0.039 ± 0.008%/h (24% reduction, P<0.05), ALC-CHO = 0.032 ± 0.005%/h (37% reduction, P<0.05); rest = 0.025 ± 0.002%/h".

Why, and the source

Parr et al. (2014) report myofibrillar synthesis rates "above rest (0.025±0.002%·h−1) with ALC-CHO (0.032±0.005%·h−1 ...), ALC-PRO (0.039±0.008% h−1 ...) and PRO (0.052±0.008%·h−1 ...)". The page's figures matched none of the conditions; its alcohol-plus-protein value was the resting rate. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol Ingestion Impairs Maximal Post-Exercise Rates of Myofibrillar Protein Synthesis following a Single Bout of Concurrent Training. PLoS One. 2014;9(2):e88384.

Found by

the Q387 Rule 30 sweep of Barnes 2010/2011: the page read in full against Mark's pastes

A post-workout alcohol Short called the binge-drinking study the only trial of drinking after exercise

ShortYour Muscles Are Still Building When You Start Drinking

What it said

The Short said the effect was found "in the only trial that tested it" and "In the only controlled trial measuring what happens when you drink after exercise".

What it says now

It says "in the first trial to test it in people" and "In the first trial to measure muscle protein synthesis after people drank following exercise".

Why, and the source

Parr et al. (2014) write that earlier data on alcohol and muscle protein synthesis came from rodents and that their study "is the first to have measured FSR" in this setting; a first study is not the only one, and the page itself cites another trial of drinking after exercise (Barnes et al.). Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol Ingestion Impairs Maximal Post-Exercise Rates of Myofibrillar Protein Synthesis following a Single Bout of Concurrent Training. PLoS One. 2014;9(2):e88384.

Found by

the Q387 Rule 30 sweep of Barnes 2010/2011: the page read in full against Mark's pastes

A post-workout alcohol Short said protein cut alcohol's damage "nearly in half" and gave the protein as one 25 g dose

ShortYour Muscles Are Still Building When You Start Drinking

What it said

The Short said protein "cut the damage nearly in half" and that participants "consumed optimal protein (25g whey)".

What it says now

It says the protein "cut the drop from 37% to 24%" and that participants took "25g whey right after exercise and again 4 hours later".

Why, and the source

Parr et al. (2014) gave 25 g of whey immediately after exercise and again at 4 hours; with alcohol, synthesis was 24% lower than with protein alone, against 37% lower when carbohydrate replaced the protein: "only a partial ‘rescue’". 24 is about two-thirds of 37, not half. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol Ingestion Impairs Maximal Post-Exercise Rates of Myofibrillar Protein Synthesis following a Single Bout of Concurrent Training. PLoS One. 2014;9(2):e88384.

Found by

the Q387 Rule 30 sweep of Barnes 2010/2011: the page read in full against Mark's pastes

A non-alcoholic beer Short said alcohol's muscle mechanism does not activate at moderate doses and named it as settled

ShortYour Non-Alcoholic Beer Was Solving the Wrong Problem

What it said

The Short said that at a beer or two "the mechanism behind that damage does not activate enough to register on a body scan", and that "The actual mechanism behind alcohol's muscle cost at high doses is mTOR signaling disruption".

What it says now

It says the beer trial "measured lean mass and fat, not the rebuilding rate", and that the binge-dose cost "was likely driven, at least in part, by disrupted mTOR signaling inside the muscle, according to the researchers who measured it".

Why, and the source

The BEER-HIIT trial measured body composition by DXA; it measured no mechanism. Parr et al. (2014) write that the drop in muscle protein synthesis "was likely mediated, at least in part, by effects on mTORC1-mediated signaling" and that the mechanism "is still poorly defined". Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol Ingestion Impairs Maximal Post-Exercise Rates of Myofibrillar Protein Synthesis following a Single Bout of Concurrent Training. PLoS One. 2014;9(2):e88384.

Found by

the Q387 Rule 30 sweep of Molina-Hidalgo 2019: the page read in full against Mark's pastes

A non-alcoholic beer Short said alcohol cuts muscle building "only at binge-level doses"; the study tested no other dose

ShortYour Non-Alcoholic Beer Was Solving the Wrong Problem

What it said

The Short said alcohol reduces muscle protein synthesis by 24–37% "but only at binge-level doses (12+ standard drinks post-exercise)", and that the reduction "requires a binge dose of 12+ drinks in a single session".

What it says now

It says "Binge-level alcohol (about 12 standard drinks after exercise) reduced muscle protein synthesis by 24–37%; the study tested no lower dose".

Why, and the source

Parr et al. (2014) gave one alcohol dose, 1.5 g per kg body mass ("12±2 standard drinks"), and found myofibrillar protein synthesis 24% lower with protein and 37% lower with carbohydrate than with protein alone. No lower dose was tested, so the study cannot show the effect happens "only" at that dose. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol Ingestion Impairs Maximal Post-Exercise Rates of Myofibrillar Protein Synthesis following a Single Bout of Concurrent Training. PLoS One. 2014;9(2):e88384.

Found by

the Q387 Rule 30 sweep of Molina-Hidalgo 2019: the page read in full against Mark's pastes

A non-alcoholic beer Short told the beer trial as the only one, with identical results, and as a strong randomised trial

ShortYour Non-Alcoholic Beer Was Solving the Wrong Problem

What it said

The Short said "The only trial that directly compared non-alcoholic beer to regular beer during ten weeks of training found identical body composition outcomes", that "Every group that trained gained identical lean mass and lost identical fat", and rated it "Strong — randomized controlled trial with direct comparison".

What it says now

It says "The first trial to compare non-alcoholic beer with regular beer during ten weeks of training found similar results in every training group", that "the groups were small (13 and 15 people) and drinkers chose whether to drink alcohol", and rates it "Moderate".

Why, and the source

Molina-Hidalgo et al. (2019) found lean mass rose about 5% in each training group, "improving similarly", and no significant difference in fat mass between the groups (p = 0.156). Participants chose whether to drink alcohol and were randomised only within that choice ("participants were not purely randomized"), 13 drank regular beer and 15 non-alcoholic beer, and the authors write that the study "could be underpowered" to detect differences between beverages. They describe it as the first such study, not the only one. Source: Molina-Hidalgo C, De-la-O A, Jurado-Fasoli L, Amaro-Gahete FJ, Castillo MJ. Beer or Ethanol Effects on the Body Composition Response to High-Intensity Interval Training. The BEER-HIIT Study. Nutrients. 2019;11:909.

Found by

the Q387 Rule 30 sweep of Molina-Hidalgo 2019: the page read in full against Mark's pastes

A drinks-and-recovery Short gave strength-loss figures for a higher alcohol dose that its source does not contain

ShortThe Line Between Two Beers and a Wasted Workout

What it said

The Short said that above five drinks "strength loss after exercise was magnified to 34–40%, compared to 12–28% without alcohol", and showed "34–40%" in its chart.

What it says now

It says "The same lab's earlier work found that 1 g per kg, about eight such drinks, did magnify it", and that "the 2011 paper gives no figures for it".

Why, and the source

The 2011 paper by Barnes et al. reports its team's earlier result at 1 g of alcohol per kg in words only: it "interacts with EIMD to magnify the force loss typically associated with such exercise". The figures 34–40% and 12–28% are not in it. Source: Barnes MJ, Mündel T, Stannard SR. A low dose of alcohol does not impact skeletal muscle performance after exercise-induced muscle damage. Eur J Appl Physiol. 2011;111:725-729.

Found by

the Q387 Rule 30 sweep of Barnes 2010/2011: the page read in full against Mark's pastes

A drinks-and-recovery Short said a low alcohol dose had zero effect and matched the no-alcohol test exactly; strength fell either way

ShortThe Line Between Two Beers and a Wasted Workout

What it said

The Short said the low dose had "zero measurable effect on recovery" and that "Every strength test at 36 and 60 hours matched the alcohol-free control exactly".

What it says now

It says "Strength fell over the next 60 hours either way", that "the alcohol did not make the loss any worse", and that "no strength test at 36 or 60 hours differed significantly between the drinks".

Why, and the source

Barnes et al. found "Significant decreases in all measures of muscular performance ... over time under both conditions" and no significant difference between the drinks (all P > 0.2). The measurements did not match exactly: at 36 hours, eccentric strength was 14.2% below its starting value with alcohol and 4.2% below without, a difference that was not significant. Source: Barnes MJ, Mündel T, Stannard SR. A low dose of alcohol does not impact skeletal muscle performance after exercise-induced muscle damage. Eur J Appl Physiol. 2011;111:725-729.

Found by

the Q387 Rule 30 sweep of Barnes 2010/2011: the page read in full against Mark's pastes

A drinks-and-recovery Short counted drinks on two different drink sizes and called the result an exact threshold

ShortThe Line Between Two Beers and a Wasted Workout

What it said

The Short counted 0.5 g of alcohol per kg as "two to three standard drinks", 1 g per kg as "five to six drinks" and 1.5 g per kg as "twelve standard drinks", called the result "The Exact Drink Threshold", and its SEO title said "3 Drinks Don’t Hurt Muscle Recovery. 5 Drinks Do."

What it says now

It counts the three doses on one drink size, "~4 drinks", "~8 drinks" and "~12 drinks" for an 80 kg person, and says "Where between the two the line sits was not tested, and the authors call their advice tentative".

Why, and the source

The low and middle counts used a drink of about 14 g of alcohol; the twelve comes from Parr et al. (2014), whose "12±2 standard drinks" for 1.5 g/kg are drinks of about 10 g. On one drink size the three doses are about 4, 8 and 12 drinks for an 80 kg person (FitChef arithmetic). Both strength doses come from one research team, which tested 0.5 g/kg itself and reports 1 g/kg from its earlier work; it tested nothing in between and "tentatively" recommends staying at or below 0.5 g/kg. Source: Barnes MJ, Mündel T, Stannard SR. A low dose of alcohol does not impact skeletal muscle performance after exercise-induced muscle damage. Eur J Appl Physiol. 2011;111:725-729.

Found by

the Q387 Rule 30 sweep of Barnes 2010/2011: the page read in full against Mark's pastes

A drinks-and-recovery Short gave a binge-drinking study's 37% as the cut after strength training; it was 24% with protein

ShortThe Line Between Two Beers and a Wasted Workout

What it said

The Short said roughly twelve standard drinks after strength training "cut the body’s" "muscle-building response by 37%".

What it says now

It says the drinks "cut" "muscle protein synthesis by 24%" "even with protein, and by 37% when carbohydrate replaced the protein".

Why, and the source

Parr et al. (2014) gave 1.5 g/kg of alcohol after leg extensions and cycling. Compared with protein alone, synthesis was 24% lower when the alcohol came with protein and 37% lower when it came with carbohydrate instead. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol Ingestion Impairs Maximal Post-Exercise Rates of Myofibrillar Protein Synthesis following a Single Bout of Concurrent Training. PLoS One. 2014;9(2):e88384.

Found by

the Q387 Rule 30 sweep of Barnes 2010/2011: the page read in full against Mark's pastes

A Short said 73 adults gained the same lean mass while drinking daily and that moderate daily drinking did not impair muscle gains; the trial had 72 adults and similar gains

ShortBinge Weekends or a Drink Every Night? What Was Actually Measured

What it said

The Short said "Moderate daily drinkers who trained for 10 weeks gained the same lean mass as expected", "Moderate daily drinking did not impair muscle gains", and gave the trial as "73 adults".

What it says now

It says "every training group, drinkers or not, gained about 5% lean mass; the authors say the trial may be too small to see differences between drinks", and gives "72 adults".

Why, and the source

Molina-Hidalgo et al. (2019) enrolled 72 young adults; those who trained chose whether to receive alcohol. Lean mass rose about 5% in every training group, "improving similarly", and the authors write that the study "could be underpowered" to detect differences between beverages. Source: Molina-Hidalgo C, De-la-O A, Jurado-Fasoli L, Amaro-Gahete FJ, Castillo MJ. Beer or Ethanol Effects on the Body Composition Response to High-Intensity Interval Training. The BEER-HIIT Study. Nutrients. 2019;11:909.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its six papers

A Short said six drinks demolish a night of recovery sleep and that sleep cost depends on dose, not how often; the review could not show a change in total sleep and did not test frequency

ShortBinge Weekends or a Drink Every Night? What Was Actually Measured

What it said

The Short said "Six drinks on Saturday night demolishes one night of recovery sleep", that "Sleep disruption scales with how much you drink in a single sitting, not how often", and cited a "meta-analysis of 22+ studies".

What it says now

It says "Whether total sleep time changed, the review could not determine", that "All but four of the studies gave the alcohol on the night of the sleep test only", and that the review covered "27 sleep studies".

Why, and the source

Gardiner et al. (Sleep Medicine Reviews, 27 studies) found REM sleep starting 18.0 minutes later and running 11.3 minutes shorter on average, both growing with the dose. The pooled change in total sleep time, 10.1 minutes less, was not significant and did not track the dose, and the review could not determine the effect. Alcohol was given on the night of the sleep test in all but four studies, so drinking frequency was not tested. The review ties REM disruption to memory, cognitive function and emotional regulation, not to "recovery". Source: Gardiner C, Weakley J, Burke LM, Roach GD, Sargent C, Maniar N, Huynh M, Miller DJ, Townshend A, Halson SL. The effect of alcohol on subsequent sleep in healthy adults: A systematic review and meta-analysis. Sleep Med Rev. 2025;80:102030.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its six papers

A Short said fat burning pauses for four to six hours after moderate drinking and costs more with a binge; the study gave one dose into a vein

ShortBinge Weekends or a Drink Every Night? What Was Actually Measured

What it said

The Short said "Fat burning pauses for four to six hours after moderate drinking" and its chart put fat burning under "BINGE COSTS MORE" ("Pauses 4–6 hours").

What it says now

It says the study "gave six men lying in hospital beds a single dose of alcohol through a drip into a vein over 30 minutes" and "Its fat-burning figures come from that one dose, at rest, so it cannot rank one big night against seven small ones"; the chart lists fat burning as "One dose, at rest".

Why, and the source

Shelmet et al. (1988) infused 0.75 g of alcohol per kg intravenously over 30 minutes into six men reclining in hospital beds. Fat oxidation fell 87% at 60 minutes and was 79% lower over the 4-hour study. The study measured fat oxidation after that one dose only and reports no four-to-six-hour pause after drinking. Source: Shelmet JJ, Reichard GA, Skutches CL, Hoeldtke RD, Owen OE, Boden G. Ethanol causes acute inhibition of carbohydrate, fat, and protein oxidation and insulin resistance. J Clin Invest. 1988;81(4):1137-1145.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its six papers

A Short said daily drinking above two a day carries 40% higher risk of overweight that weekend drinkers avoid; the review did not compare drinking patterns

ShortBinge Weekends or a Drink Every Night? What Was Actually Measured

What it said

The Short said "Sustained daily drinking above two per day is linked to a 40% higher risk of overweight" and "Weekend drinkers do not — because the threshold tracks daily intake, not weekly totals".

What it says now

It says "people drinking more than 28 g a day had 40% higher odds of being overweight or obese than non- or light drinkers" in cross-sectional studies, "its cohort studies found no significant link", and "It did not compare people who drank daily with people who drank at weekends".

Why, and the source

The review (Golzarand et al., cited from its preprint, not peer reviewed) found odds 40% higher for overweight or obesity combined (OR 1.40) and 11% higher for overweight alone (OR 1.11) among people drinking more than 28 g a day, in cross-sectional studies; its cohort studies found no significant association. It grouped intake by grams a day, notes that some studies measured how often people drank, and reports no analysis of weekend against daily drinking. Source: Golzarand M, Salari-Moghaddam A, Mirmiran P. Association between Alcohol Intake and Overweight and Obesity: A Systematic Review and Dose-Response Meta-Analysis of 127 Observational Studies. Preprint, SSRN 3752693 (not peer reviewed).

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its six papers

A Short multiplied a 256-calorie figure by drinking nights to compare binge and daily drinking; the figure includes the drink itself

ShortBinge Weekends or a Drink Every Night? What Was Actually Measured

What it said

The Short said "Every drinking occasion triggers roughly 256 extra calories of food intake — with zero compensation the following day" and "That is 1,792 untracked calories per week versus 512 — from the same total alcohol", citing a "Yeomans meta-analysis of 22 experiments".

What it says now

It says "In lab studies, people ate about 82 more calories of food at a meal or snack after an alcoholic drink" and "Seven drinking nights are not seven times that 256: it includes the drink", citing Kwok et al. 2019.

Why, and the source

The review (Kwok et al. 2019, British Journal of Nutrition) found food energy intake 343 kJ (about 82 kcal) higher and total energy intake 1072 kJ (about 256 kcal) higher, "the sum of food energy and beverage energy intake". The same weekly alcohol brings the same alcohol energy however it is spread. In its high-dose studies (30 g of alcohol or more, or 0.6 g per kg), the pooled rise in food intake was not significant (246 kJ, P = 0.07), a result the review says conflicts with one dose-response study. Its pooled figures came from single test meals or snacks, and its two longer studies, 6 and 10 weeks of red wine, found no significant change in total energy intake or body weight. Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121(5):481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its six papers

A Short said four body systems split on binge versus daily drinking, with weight and food favouring weekend binges; none of its sources compared the two patterns

ShortBinge Weekends or a Drink Every Night? What Was Actually Measured

What it said

The Short was titled "Four Body Systems Scored Binge vs. Daily Drinking. None of Them Agreed.", said "Weight and food surplus penalize daily frequency", and closed that "the daily pattern’s untracked occasion cost is the row of the scorecard worth watching first".

What it says now

It is titled "Binge Weekends or a Drink Every Night? What Was Actually Measured" and says "None of the studies behind this answer compared binge weekends with drinking every night at the same weekly total" and "The food, fat-burning and weight studies here did not compare drinking patterns".

Why, and the source

The page rested on six papers: a sleep review whose studies nearly all gave alcohol on the night of the sleep test only, a food-intake review whose pooled figures came from single test meals or snacks, a weight review that grouped people by grams of alcohol a day, a one-dose fat-burning study, a one-dose muscle study and one training trial. None compared binge with daily drinking. The two rows that put the cost on daily drinking were built on a misread calorie figure and on an inference about the weight review (separate records). Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121(5):481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's pastes of its six papers

A Short cited an alcohol and food intake review under the wrong journal and a composed title

ShortThe Hormone That Decides What You Eat After Drinking

What it said

The Short cited "Kwok et al. 2019 · Appetite" and the title "The effect of moderate alcohol consumption on food energy intake: a systematic review and meta-analysis".

What it says now

It cites "Kwok et al. 2019 · British Journal of Nutrition" and "Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis".

Why, and the source

The review was published in the British Journal of Nutrition (2019;121:481-495) under that title. Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121(5):481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's PDF

A Short said drinking adds 256 calories per occasion with no compensation the next day; 256 includes the drink, and the review does not report the next day

ShortThe Hormone That Decides What You Eat After Drinking

What it said

The Short said drinking adds "roughly 256 extra calories per drinking occasion with zero compensation the next day", that "Nobody ate less the following morning", and split the 256 into "82 from eating more food and 174 from the drinks themselves".

What it says now

It says people ate "about 82 more calories of food at a meal or snack after an alcoholic drink, about 256 counting the drink itself", that "On average, people did not eat less there to make up for the drink", and that "Whether they ate less the next day, the review behind these figures does not say."

Why, and the source

The review pooled food intake from 12 studies (+343 kJ, about 82 kcal) and total intake from 8 studies (+1072 kJ, about 256 kcal), "which is the sum of food energy and beverage energy intake". Sixteen of its 22 studies served the test food 10 minutes to 2 hours after the drink; the review reports no next-day measure, and its two longer studies (6 and 10 weeks of red wine) found no significant change in total energy intake. It gives no 174 kcal figure. Source: Kwok A, Dordevic AL, Paton G, Page MJ, Truby H. Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis. Br J Nutr. 2019;121(5):481-495.

Found by

the Q422 Rule 30 sweep of Kwok 2019: the page read in full against Mark's PDF

A flat-muscles Short told a one-week rebound in fat-free mass as proof that diet flatness is never muscle; the authors say "likely" glycogen

ShortWhat Flat Muscles Are Actually Losing on a Diet

What it said

The Short said the 4.8% rise was "confirming the flatness is temporary glycogen and water depletion, not muscle loss", that "New muscle cannot appear in seven days", and that the meta-analysis "established" that glycogen loss shrinks muscle without affecting contractile tissue.

What it says now

It says the rise is "a gain the meta-analysis authors call likely attributable to glycogen repletion", and that the meta-analysis "cite previous research showing" the glycogen and water mechanism.

Why, and the source

The meta-analysis reports Wilson et al.'s "additional 4.8% increase in FFM" as "an effect likely attributable to glycogen repletion", and attributes the mechanism to "Previous research" that "can transiently decrease muscle volume without affecting contractile tissue". It did not test the mechanism itself. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026 and Kerksick 2017: the page read in full against Mark's re-pastes

A flat-muscles Short gave a glycogen-to-water ratio and a one-day refill that no source on the page gives

ShortWhat Flat Muscles Are Actually Losing on a Diet

What it said

The Short said "Each gram of glycogen holds roughly three grams of water" and "On adequate carbs, that tank refills within a day".

What it says now

It says glycogen "is stored with water" and "In elite athletes eating 8 grams of carbohydrate per kilogram a day or more, with only moderate muscle damage, that tank refills within 24 hours".

Why, and the source

No source on the page gives a water-to-glycogen ratio. The nutrient timing position stand reports that "maximal glycogen levels are restored within 24 h if a diet contains ≥8 g/kg/day", in elite athletes with only moderate muscle damage. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Henselmans 2026 and Kerksick 2017: the page read in full against Mark's re-pastes

A flat-muscles Short told a carbohydrate meta-analysis as settling that growth is unaffected; the authors rate their certainty low

ShortWhat Flat Muscles Are Actually Losing on a Diet

What it said

The Short said growth was "Unaffected", that carbohydrate "made no meaningful difference", that the meta-analysis had "sufficient power to detect meaningful effects", and answered "Does dieting actually slow down muscle growth?" with it.

What it says now

It says carbohydrate "made no significant difference" to muscle growth, "though the authors rate their certainty low", and the FAQ asks "Does eating fewer carbs slow down muscle growth?".

Why, and the source

The meta-analysis found no significant effect (SMD 0.15, p = 0.230) and rated the certainty of evidence "low (2/4) because of imprecision and a moderate risk of bias". Its trials compared higher with lower carbohydrate intakes, not dieting with not dieting. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026 and Kerksick 2017: the page read in full against Mark's re-pastes

A flat-muscles Short cited a 2026 carbohydrate meta-analysis under another paper's DOI, a composed title and the wrong year

ShortWhat Flat Muscles Are Actually Losing on a Diet

What it said

The Short cited "Henselmans et al. 2025 — Carbohydrate Intake and Resistance Training Hypertrophy Meta-Analysis" with the DOI "https://doi.org/10.1249/FIT.0000000000000916" and "n=227 across 11 RCTs".

What it says now

It cites "Henselmans et al. 2026 — The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis" with the DOI "https://doi.org/10.1007/s40279-025-02341-z" and "11 RCTs".

Why, and the source

The paper was published on 19 February 2026 in Sports Medicine 56 under that title and DOI. The DOI the page gave belongs to a 2023 article in ACSM's Health & Fitness Journal that the meta-analysis cites as its first reference. The paper gives an average of 20.6 participants per trial and no total. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026 and Kerksick 2017: the page read in full against Mark's re-pastes

A rice Short credited a nutrition position stand's glycogen figure to another paper and called post-workout carbs "irrelevant"

ShortWhite Rice vs Brown Rice: Your Muscles Can’t Tell the Difference

What it said

The Short's glycogen chart cited "Henselmans et al. 2025" for its 39%, its evidence gave the stand "well below impairment threshold", and it said protein makes "the post-workout carb type irrelevant".

What it says now

The chart cites "Kerksick et al. 2017" for the 39%, the impairment threshold is credited to Henselmans et al. (2026), and post-workout carbs "likely add little when protein is covered".

Why, and the source

The 39% is the position stand's: "six sets of 12RM leg extension exercise has been shown to reduce glycogen stores in the vastus lateralis by 39%". The threshold line is in the 2026 meta-analysis, not the stand. On carbohydrate after training the stand says it "likely exerts minimal influence from a muscle development standpoint provided adequate protein is consumed". Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Henselmans 2026 and Kerksick 2017: the page read in full against Mark's re-pastes

A rice Short told a meta-analysis's null result as proof that rice type cannot matter; the authors rate their certainty low

ShortWhite Rice vs Brown Rice: Your Muscles Can’t Tell the Difference

What it said

The Short said "Neither white rice nor brown rice has a measurable effect on muscle growth", that "every trial" found the effect "nothing. Not small. Not marginal.", that rice type "cannot possibly matter", and rated the evidence "High".

What it says now

It says "Rice type is unlikely to make a measurable difference to muscle growth", that "Eleven pooled trials" found no significant effect, that the authors "do not rule out a small benefit", and rates the evidence "Low".

Why, and the source

The meta-analysis pooled the eleven trials that met its criteria, comparing higher with lower carbohydrate intakes, not rice types. It found no significant effect, rates the certainty of evidence "low (2/4) because of imprecision and a moderate risk of bias", and says its data "are most consistent with a null effect or a small positive effect of higher carbohydrate intakes on muscle growth". Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026 and Kerksick 2017: the page read in full against Mark's re-pastes

A rice Short cited a 2026 carbohydrate meta-analysis as 2025, with a participant total it does not print and two authors who did not write it

ShortWhite Rice vs Brown Rice: Your Muscles Can’t Tell the Difference

What it said

The Short cited "Henselmans et al. 2025" with "n=227 across 11 RCTs", and its chart data named "Eric T. Trexler" and "Eric R. Helms" as co-authors.

What it says now

It cites "Henselmans et al. 2026" with "11 RCTs averaging 20.6 participants (about 227 in all)", and the chart now cites the paper its figure comes from.

Why, and the source

The paper was published on 19 February 2026 in Sports Medicine 56 by Menno Henselmans, Fredrik Tonstad Vårvik and Mikel Izquierdo. It gives an average of 20.6 participants per trial and no total. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026 and Kerksick 2017: the page read in full against Mark's re-pastes

A carb-type Short cited a 2026 carbohydrate meta-analysis as 2025 under a composed title, with a participant total it does not print

ShortWho Actually Needs Fast Carbs After a Workout

What it said

The Short cited "Henselmans et al. 2025" as "Carbohydrate Intake and Resistance Training Hypertrophy Meta-Analysis", with "227 participants" and a direction "consistent across all 11 trials".

What it says now

It cites "The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis (Henselmans et al. 2026)", with "11 RCTs averaging 20.6 participants (about 227 in all)", and says "no single trial of the 11 found a significant effect".

Why, and the source

The paper was published on 19 February 2026 in Sports Medicine 56 under that title. It gives an average of 20.6 participants per trial and no total, and reports that no individual study found a significant effect, which is not the same as all pointing one way. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 and Henselmans 2026: the page read in full against Mark's re-pastes

A carb-type Short said cycling drains glycogen by 80% and that white and brown rice refill it equally; no source on the page says so

ShortWho Actually Needs Fast Carbs After a Workout

What it said

The Short said "A cycling bout can deplete glycogen by 80% or more" and "White rice and brown rice both arrive at the same glycogen level by the time tomorrow's session starts", and that carbohydrate "provides zero additional muscle-protective benefit".

What it says now

It says "Long endurance work drains glycogen far more than lifting does", cites elite athletes "fully restored within 24 hours on a high-carbohydrate diet", and quotes the stand: carbohydrate "likely exerts minimal influence".

Why, and the source

The position stand gives no 80% figure; it says resistance-exercise glycogen decreases "are modest in comparison to exhaustive endurance exercise". It does not compare rice types; it reports maximal glycogen "restored within 24 h if a diet contains ≥8 g/kg/day" in elite athletes. On carbohydrate after training it says it "likely exerts minimal influence from a muscle development standpoint provided adequate protein is consumed", not zero. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 and Henselmans 2026: the page read in full against Mark's re-pastes

A carb-type Short gave a nutrition position stand's rapid-refuelling window as four to eight hours; the stand says under four

ShortWho Actually Needs Fast Carbs After a Workout

What it said

The Short said "Fast carbs genuinely help only when the next session is less than four to eight hours away" and labelled the exception "Training twice a day (less than 8 hours between sessions)".

What it says now

It says "A sports-nutrition position stand reserves fast, high-glycemic carbs for recovery windows under four hours".

Why, and the source

The ISSN position stand on nutrient timing recommends its rapid-refuelling strategies "If rapid restoration of glycogen is required (< 4 h of recovery time)", with "a preference towards carbohydrate sources that have a high (> 70) glycemic index". Its only "8 h" is for athletes training "high volumes (i.e., ≥ 8 h) of exercise per week". Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 and Henselmans 2026: the page read in full against Mark's re-pastes

The carbs-and-muscle study page credited the 2022 strength review to the wrong authors

StudyDo You Need Carbs to Build Muscle? What 11 Studies Actually Found

What it said

The page listed the review as "Henselmans, Vårvik & Izquierdo 2022".

What it says now

It lists it as "Henselmans, Bjørnsen, Hedderman & Vårvik 2022".

Why, and the source

The 2026 meta-analysis cites the review as Henselmans M, Bjørnsen T, Hedderman R, Vårvik FT, "The effect of carbohydrate intake on strength and resistance training performance: a systematic review", Nutrients 2022;14:856. Izquierdo, an author of the 2026 meta-analysis, is not among its authors. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the study page read in full against Mark's re-paste

The carbs-and-muscle study page gave the authors' competing interests as not reported and said all trials measured muscle directly

StudyDo You Need Carbs to Build Muscle? What 11 Studies Actually Found

What it said

The page gave competing interests as "Not reported" and said the review "Included only RCTs with direct muscle size measurements".

What it says now

It says "The authors declare no conflicts of interest directly relevant to the content of the article" and that the review included RCTs measuring muscle size, with "direct imaging in 2 of 11".

Why, and the source

The paper's declarations state that the three authors "have no conflicts of interest that are directly relevant to the content of this article". Only two of the eleven trials used direct assessments of muscle size; the rest relied on whole-body fat-free mass. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the study page read in full against Mark's re-paste

The carbs-and-muscle study page said muscle growth was the same in one trial where the low-carb phase lost lean mass

StudyDo You Need Carbs to Build Muscle? What 11 Studies Actually Found

What it said

The page said of one trial: "The muscle growth was the same regardless of carb level — but the lower-carb group lost more body fat".

What it says now

It says that in the higher-carb phase "they gained fat and lean mass; in the lower-carb phase they lost both".

Why, and the source

For Greene et al., the meta-analysis reports that "the high-carbohydrate condition resulted in gains in fat and lean mass, while the low-carbohydrate condition resulted in losses in both", with an estimated 5337 kcal more positive energy balance in the higher-carbohydrate condition. It was the one crossover trial among the eleven, so the same participants ate both ways. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the study page read in full against Mark's re-paste

The carbs-and-muscle study page said a 4.8% lean-mass jump was certainly water and that no muscle was built; the authors call it likely glycogen

StudyDo You Need Carbs to Build Muscle? What 11 Studies Actually Found

What it said

The page said "Nobody builds that much real muscle in a week — what happened was glycogen and water flooding back", called it "an impossible rate of actual muscle growth", and its chart showed "Actual muscle" as "None in seven days".

What it says now

It says "The authors put that jump down, most likely, to glycogen refilling the muscle", and its chart compares the group that reintroduced carbs with the control group, which showed "No change that week".

Why, and the source

The meta-analysis describes the 4.8% rise in fat-free mass in the final week as "an effect likely attributable to glycogen repletion", and reports that the control group "exhibited no change in FFM during the final week". Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the study page read in full against Mark's re-paste

The carbs-and-muscle study page gave trial durations and a participant total that the paper does not print

StudyDo You Need Carbs to Build Muscle? What 11 Studies Actually Found

What it said

The page said "Every study ran for less than 12 weeks", "The longest was 11 weeks", "Range: 4 to 12 weeks", and that "The participants were 227 adults".

What it says now

It says the trials "averaged about eight and a half weeks" and "averaged 20.6 participants each, about 227 in all".

Why, and the source

The paper gives an average intervention of 8.5 ± 2.3 weeks and an average of 20.6 ± 5.6 participants per trial; it prints no longest study, no range and no total. 227 is FitChef's arithmetic (11 x 20.6), so the page now says "about 227". Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the study page read in full against Mark's re-paste

The carbs-and-muscle study page said the review pooled every trial ever conducted; eleven trials met its search criteria

StudyDo You Need Carbs to Build Muscle? What 11 Studies Actually Found

What it said

The page said the researchers "pooled every controlled trial ever conducted on this exact question" and that "Only eleven studies exist in the entire literature".

What it says now

It says they "pooled every controlled trial their search could find that met their criteria" and that "Only eleven trials met the criteria".

Why, and the source

The review's search found 1347 records, of which 11 randomised controlled trials met its inclusion criteria; the authors list limits of the search itself. That is not every trial ever conducted on the question. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the study page read in full against Mark's re-paste

The carbs-and-muscle study page said carbs contributed nothing and that gains won't suffer; the authors do not rule out a small benefit

StudyDo You Need Carbs to Build Muscle? What 11 Studies Actually Found

What it said

The page said "The rice in your meal prep container contributed nothing to your muscle growth. The protein was doing all the work", that "the pooled data says your gains won't suffer", and that the matched design "makes protein the growth driver by elimination".

What it says now

It says "In these trials, extra carbs added no significant muscle", "the pooled data found no significant cost to muscle growth", and "This study did not test protein itself, so it cannot rank the two".

Why, and the source

The pooled effect (SMD 0.15) favoured more carbohydrate without reaching significance, and the authors rate the certainty of evidence low (2/4). They write that "the data do not completely rule out a hypertrophic advantage of higher carbohydrate intakes" and are "most consistent with a null effect or a small positive effect". Protein was matched by design, so the review does not test it. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the study page read in full against Mark's re-paste

The carbs-and-muscle study page said every study pointed the same way and labs disagreed by "literally zero"

StudyDo You Need Carbs to Build Muscle? What 11 Studies Actually Found

What it said

The page said "Every single study pointed the same direction. The disagreement between labs was literally zero", that "every single study agreed", and that in the calorie-matched studies "the result was identical".

What it says now

It says "No single study found a significant effect either way." and "The differences between labs were no larger than chance would produce (I² = 0)", and that the three calorie-matched studies gave "the same (0.15)" estimate, "still not significant".

Why, and the source

The meta-analysis reports no significant effect in any study and a heterogeneity of I² = 0 ("negligible"). That means the studies differed no more than chance would predict, not that all pointed one way: the two studies that imaged muscle directly favoured lower carbohydrate intakes (SMD -0.260), and the calorie-matched subgroup held three studies (SMD 0.15, p = 0.603). Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the study page read in full against Mark's re-paste

A low-carb strength claim said a carbohydrate meta-analysis held protein and calories sufficient; it matched protein

ClaimWill Keto Wreck Your Strength? What 6 Trials Actually Found

What it said

The claim said the meta-analysis found no significant effect "when protein and calories were sufficient".

What it says now

It says "with protein intake matched between conditions (certainty of evidence low)".

Why, and the source

The meta-analysis excluded "Studies with differences in protein intake between conditions". Sufficient energy and protein is its practical caveat ("provided that total energy and protein intake requirements are met"), not a condition of its trials, and it rates the certainty of its evidence "low (2/4)". Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the claim's Henselmans lines read against Mark's re-paste

A keto strength study page said a carbohydrate meta-analysis matched protein and calories; it matched protein

StudyKeto and Strength: 6 Trials Pooled, Here’s What Moved

What it said

The page said the meta-analysis "found carb intake made no measurable difference to muscle growth when protein and calories were matched".

What it says now

It says the meta-analysis "found no significant effect of carb intake on muscle growth with protein intake matched".

Why, and the source

The meta-analysis excluded "Studies with differences in protein intake between conditions"; only a subgroup of its trials met its criteria for isocaloric comparisons. Its pooled result was not significant (p = 0.230). Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the page's Henselmans line read against Mark's re-paste

A rest-day bloating Short said a one-week rise in fat-free mass was entirely glycogen and water with no tissue change; the source says "likely"

What it said

The Short said the 4.8% rise came "with no change in actual muscle or fat tissue" and that "Every gram of that shift was glycogen and the water it brought along".

What it says now

It says "The meta-analysis that reports the trial calls the gain likely attributable to glycogen repletion".

Why, and the source

The meta-analysis reports the trial's "additional 4.8% increase in FFM" as "an effect likely attributable to glycogen repletion", and gives no muscle or fat figure for that week. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the page read in full against Mark's re-paste

A rest-day bloating Short cited a 2026 carbohydrate meta-analysis as 2025 under a composed title

What it said

The Short cited "Carbohydrate and Hypertrophy Meta-Analysis (Henselmans et al. 2025)".

What it says now

It cites "The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis (Henselmans et al. 2026)".

Why, and the source

The paper was published on 19 February 2026 in Sports Medicine 56 under that title. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the page read in full against Mark's re-paste

A Short cited the ISSN nutrient timing position stand under the title of a different paper and the wrong article number

What it said

The Short cited the stand as "ISSN exercise & sports nutrition review update: research & recommendations" and as volume "14:38".

What it says now

It cites "International society of sports nutrition position stand: nutrient timing (Kerksick et al. 2017)", 14:33.

Why, and the source

The paper's title is "International society of sports nutrition position stand: nutrient timing", J Int Soc Sports Nutr 2017;14:33. The "ISSN exercise & sports nutrition review update" is a different paper. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste

A Short told one study on carbohydrate and resistance training as a rule, and gave a 39% glycogen drop as about a third

What it said

The Short said "Carbohydrates provided during a resistance session improved performance in" only one scenario, "Not a session twenty-four hours later", and that a single bout depletes "roughly a third" of a muscle's glycogen.

What it says now

It says "One study found that carbohydrate given before and during resistance sessions improved performance", that "Multiple other studies found no improvement at all", and gives "39% in one study" for six sets of leg extensions.

Why, and the source

The position stand says "one study has indicated that carbohydrate administration before and during bouts of resistance exercise can improve performance", only in the second session on the same day, and that "multiple studies have failed to report an improvement". It calls such studies "limited". The glycogen figure is 39% for six sets of 12RM leg extension. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste

A Short said that adding protein to fewer carbohydrates gives the same glycogen recovery as more carbohydrate; the source says it speeds recovery

What it said

The Short said "adding protein to a lower carb intake produces the same glycogen recovery".

What it says now

It says "adding protein to a lower carb intake speeds glycogen recovery compared with that lower carb intake alone".

Why, and the source

The position stand says that "protein addition augments glycogen recovery when carbohydrate ingestion is < 1.2 g/kg/h", and that adding protein to carbohydrate "increases the rate of glycogen resynthesis" at those intakes. It does not say the two approaches give the same recovery. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste

A Short described a cycling study on carbohydrate timing as a finding between two sessions, with the same food, and as replicated

What it said

The Short said "The same total food, delivered within thirty minutes of finishing the first session, refilled glycogen stores" 50% faster than waiting two hours, adding "Same calories. Same macros.", and called it a "replicated finding".

What it says now

It says "the same carbohydrate drink given within thirty minutes of finishing a cycling session restored glycogen" 50% faster "and more completely over the next four hours than waiting two hours", in "one cycling study".

Why, and the source

The position stand reports this as potentially the first study of the question: one cycling bout, then a carbohydrate bolus (2 g/kg of a 25% carbohydrate solution) within 30 minutes or two hours after; glycogen restoration was "50% faster and more complete over a four-hour post-exercise period". It reports no second session and no replication. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste

A Short gave a position stand's rapid-refuelling window as under eight hours and as the only time meal timing matters; the stand says under four hours, one of two situations

What it said

The Short said "When your two training sessions are separated by fewer than eight hours, eating between them shifts from optional to essential", that the stand "identified this as the sole scenario" and that the timing rule "has exactly one exit clause".

What it says now

It says "When you have less than four hours to recover between two sessions, a sports nutrition position stand recommends aggressive refuelling between them" and that the stand "names two".

Why, and the source

The ISSN position stand on nutrient timing recommends its rapid-refuelling strategies "If rapid restoration of glycogen is required (< 4 h of recovery time)". Its only "8 h" is for athletes training "high volumes (i.e., ≥ 8 h) of exercise per week". It says the timing of post-exercise carbohydrate "holds the highest level of importance under two primary situations": when rapid restoration of muscle glycogen is a primary goal, and when inadequate amounts of carbohydrate are being delivered. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste

The carbs guide still showed the carb-timing claim at High Certainty after FitChef re-weighed the claim to Moderate

GuideEverything we know about carbs and body composition

What it said

The guide's card for the carb-timing claim showed "High Certainty".

What it says now

It shows "Moderate Certainty".

Why, and the source

FitChef re-weighed the carb-timing claim on 13 October 2026 to Moderate Certainty: three of its four sources share two authors, and none tested carbohydrate timing against body composition directly. The ISSN position stand, one of the four, says "the number of studies that have truly examined a timing question is rather scant". Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q447 skeptic pass on the Q387 Kerksick 2017 sweep: the guide read in full against the stand and the claim as corrected on 13 October 2026

A Short said pre-sleep casein raised overnight muscle building in young and older adults; the studies were in men

Short56 Meals That Feed Muscle Recovery Before Bed

What it said

The Short said 30 to 40 grams of casein "increased overnight muscle protein synthesis in both young and older adults".

What it says now

It says it "increased overnight muscle protein synthesis in young men, and in older men when it was given by nasogastric tube".

Why, and the source

The ISSN position stand reports that "30–40 g of casein protein ingested 30-min prior to sleep or via nasogastric tubing increased overnight MPS in both young and old men, respectively". Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste of the position stand

A Short said a position stand found meal timing and carb distribution barely matter; it said that about meal frequency

ShortCarbs at Night Didn’t Hurt. They Won.

What it said

The Short said the stand concluded that "when total calories are controlled, rearranging when or how you eat them has" limited impact on body composition, and that "Meal frequency, meal timing, carb distribution — none of it overrides the calorie equation".

What it says now

It says the stand reaches that conclusion "for how often you eat", and that it "reports that a bigger share of calories at breakfast may help weight loss, in studies of people who did not exercise".

Why, and the source

The ISSN position stand on nutrient timing says changing meal frequency "has shown limited impact on weight loss and body composition". On timing it says that "Altering the timing of energy intake ... may improve weight loss, body composition changes, and health-related markers, particularly when a greater proportion of calories are consumed during breakfast", noting that "these studies were performed in sedentary populations". It does not address carbohydrate distribution. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste

The carbs guide called the carb-timing evidence four independent research teams with one answer; two researchers co-wrote three of the four, and the fourth did not compare daily totals with timing

GuideEverything we know about carbs and body composition

What it said

The guide said "Four independent research teams spanning over a decade" landed on the same answer about carb timing, "Four independent teams, same answer", and "four research teams, same null result".

What it says now

It says "the three co-written by the same two researchers landed on the same hierarchy: daily totals first, timing last".

Why, and the source

Brad J Schoenfeld and Alan A Aragon are authors of the ISSN nutrient timing position stand, whose reference list gives them as authors of the anabolic-window review and of the 2013 protein-timing meta-analysis that the carb-timing claim also uses. The claim's fourth source, a 2025 trial, kept daily intake the same in every condition, so it did not compare daily totals with timing. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste of the position stand

The carbs guide said a protein shake maxes out the insulin signal; the source says insulin's effect on muscle breakdown plateaus

GuideEverything we know about carbs and body composition

What it said

The guide said "Your protein shake already maxes out the insulin signal the post-workout carbs were supposedly adding."

What it says now

It says "A 45-gram whey shake already reaches the insulin level at which its brake on muscle breakdown plateaus, so post-workout carbs likely add little."

Why, and the source

The ISSN position stand says "insulin-mediated effects on reducing proteolysis plateau within a range of ~ 15–30 μIU/mL", reached by "a 45 g bolus of whey protein isolate alone", and that post-workout carbohydrate "likely exerts minimal influence". Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste of the position stand

A glycemic index claim said a position stand found that daily totals dominate timing for body composition

ClaimDoes Glycemic Index Matter for Fat Loss? 14 Trials, One Answer

What it said

The claim said "The ISSN position stand on nutrient timing found that daily totals dominate timing for body composition in most people training once a day", and that for workout carb choices "the relevant evidence is about nutrient timing, not glycemic index".

What it says now

It says the stand "ranks the timing of protein and carbohydrate below getting enough of each across the day, outside situations that need rapid recovery", and gives the stand's glycemic index advice: "a preference for a high glycemic index (above 70)" when glycogen must be restored within four hours, and two studies in which high- or low-GI carbs eaten before exercise "gave similar performance".

Why, and the source

The position stand says timing considerations for protein, like carbohydrate, "appear to be of lower priority than the ingestion of optimal amounts of daily protein", and that outside rapid recovery the importance of timed carbohydrate "is notably decreased". It does not state a body-composition finding for people who train once a day. It does give glycemic index advice: when rapid restoration of glycogen is required (< 4 h of recovery time), "a preference towards carbohydrate sources that have a high (> 70) glycemic index", and it reports two studies with high- or low-glycemic carbohydrate 30–45 min before exercise in which "performance was similar for both types of carbohydrate". Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste of the position stand

A meal-timing Short quoted the ISSN nutrient timing position stand with a sentence the stand does not contain

ShortThe Two Dials That Are One Dial

What it said

The Short quoted the stand as saying "Diets primarily focused on fat loss are driven by a sustained caloric deficit."

What it says now

It quotes the stand on meal frequency: "In the face of restricting caloric intake for weight loss, altering meal frequency has shown limited effects on body composition." It adds that the same stand "reports two trials in which people on similar calories lost more weight when most of them came in the morning rather than the evening".

Why, and the source

The quoted sentence does not appear in the ISSN position stand on nutrient timing (Kerksick et al. 2017). The new quotation is the stand's own practical application on meal frequency. The stand also reports two trials in which more weight was lost when the majority of calories were eaten in the morning, and notes that these were done in sedentary people, so their "relevance to athletes or highly active populations might be limited". Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste of the position stand

A pre-workout carbs Short told one study's 39% glycogen drop as what any hard session does, and as barely a dent

ShortCarbs Before a Workout: The Grams Matter Less Than the Clock

What it said

The Short said "A hard weight session only draws muscle glycogen down by about 39 percent", "only burns through about a third", and that a short lifting session "barely dents your stored carbohydrate".

What it says now

It says "In one study, six sets of leg extensions drew the working muscle's glycogen down by about 39 percent", and that a short session "leaves most of your stored carbohydrate in place".

Why, and the source

The ISSN position stand on nutrient timing reports that "performing six sets of 12RM leg extension exercise has been shown to reduce glycogen stores in the vastus lateralis by 39%": one protocol in one muscle. 39% is more than a third, and not a barely-there dent. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste of the position stand

A pre-workout carbs Short said a blood-sugar dip from carbs before training affects very few people; the source says a number of athletes

ShortCarbs Before a Workout: The Grams Matter Less Than the Clock

What it said

The Short said the crash "turns out to apply to very few people, and a normal warm-up cancels it for almost everyone", and answered "For most people, no." to whether it happens.

What it says now

It says it "can affect some athletes, but in one study a normal warm-up cancelled it", and answers "It can in some athletes."

Why, and the source

The ISSN position stand says "a number of athletes may be affected by this phenomenon", and that one study (Moseley et al.) found the "rebound hypoglycemia" response "effectively negated by what would be the equivalent of a proper warm-up", with eating closer to the start (15 min vs. 75 min) able to "minimize the likelihood of these symptoms". Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map): the page read in full against Mark's re-paste of the position stand

Does cardio kill your gains: the claim's certainty rating rested on a bonus for every study agreeing and is lowered to Moderate

ClaimDoes Cardio Kill Your Gains? What 43 Studies Found GuideThe complete evidence guide to exercise and body composition

What it said

The claim was rated "High Certainty", and its citation note said "Certainty level: High". Its assessment added a bonus because every included study was said to have agreed. The training guide listed the claim as High Certainty.

What it says now

The claim is rated "Moderate Certainty", and its citation note says "Certainty level: Moderate". The training guide lists the claim as Moderate Certainty.

Why, and the source

The bonus is not one of the adjustments FitChef's scoring rules list, and it rested on a misreading this correction fixes: in the 2022 meta-analysis a heterogeneity statistic of zero means the studies did not vary more than chance would explain, not that every study agreed; single studies ranged from −0.67 to 0.28 for muscle growth and from −1.37 to 1.99 for maximal strength. Without the bonus the rating falls into the Moderate Certainty band. The other adjustments stand: the meta-analysis split training status only into untrained and active and could not examine aerobic intensity, most included studies were of medium quality and seven of low quality, and its included studies span 1980 to 2020. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Rule 31 skeptic pass on the Q465 sweep of Schumann 2022 (batch 7): the claim's score re-checked against FitChef's own scoring rules and the paper

A Short on when to stop eating before a workout named the authors of a 2018 review on fasted exercise as Aird, Farris, Cobley and Kerksick; they are Aird, Davies and Carson

ShortA Carb Drink 30 Minutes Before Hard Cycling Beat the 2-Hour Wait

What it said

The Short's data block named the review's authors "Aird, Farris, Cobley, Kerksick".

What it says now

It names them "Aird, Davies, Carson".

Why, and the source

The review "Effects of fasted vs fed-state exercise on performance and post-exercise metabolism: A systematic review and meta-analysis" is by T. P. Aird, R. W. Davies and B. P. Carson. Source: Aird TP, Davies RW, Carson BP. Effects of fasted vs fed-state exercise on performance and post-exercise metabolism: a systematic review and meta-analysis. Scand J Med Sci Sports. 2018;28(5):1476-1493.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map), Q448: the page read in full against Mark's re-pastes of the position stand and of Aragon & Schoenfeld 2013 and his paste of the Aird 2018 abstract page

A Short on when to stop eating before a workout said eating 30 minutes before exercise outperformed eating two hours before; the trial behind it tested a carbohydrate drink before hard cycling

ShortA Carb Drink 30 Minutes Before Hard Cycling Beat the 2-Hour Wait

What it said

The Short said "eating 30 minutes before exercise improved performance over eating two hours before." and "The group that broke the rule outperformed the group that followed it."

What it says now

It says "a carbohydrate drink taken 30 minutes before hard cycling led to greater increases in exercise capacity than the same drink taken two hours before."

Why, and the source

The ISSN position stand on nutrient timing reports that Galloway and colleagues "used a double-blind, placebo-controlled approach to compare performance outcomes related to ingestion of a placebo or a 6.4% carbohydrate beverage either 30 min or 120 min before a controlled bout of cycling at 90% peak power", and that "Ingesting carbohydrate 30 min before exercise led to greater increases in exercise capacity." It was a drink, not a meal, taken before hard cycling. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map), Q448: the page read in full against Mark's re-pastes of the position stand and of Aragon & Schoenfeld 2013 and his paste of the Aird 2018 abstract page

A Short on when to stop eating before a workout said meal timing had "zero effect" on sessions under 60 minutes across 47 studies; the review compared eating with fasting and found no significant difference for shorter aerobic exercise

ShortA Carb Drink 30 Minutes Before Hard Cycling Beat the 2-Hour Wait

What it said

The Short said "Across 47 studies examining pre-exercise nutrition and more than a thousand participants, meal timing had" zero effect on performance for sessions under 60 minutes, and "The effect size was zero."

What it says now

It says "A review of 46 studies compared exercising after eating with exercising fasted" and that before shorter aerobic sessions, eating "made no significant difference to performance".

Why, and the source

The review (Aird et al. 2018) "determined the effects of fasting vs pre-exercise feeding" on exercise performance; its search "identified 46 studies"; it found that "pre-exercise feeding enhanced prolonged (P = .012), but not shorter duration aerobic exercise performance (P = .687)". It compared eating with not eating, not different meal times, its abstract gives no participant count, and a difference that is not significant is not an effect of zero. Source: Aird TP, Davies RW, Carson BP. Effects of fasted vs fed-state exercise on performance and post-exercise metabolism: a systematic review and meta-analysis. Scand J Med Sci Sports. 2018;28(5):1476-1493.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map), Q448: the page read in full against Mark's re-pastes of the position stand and of Aragon & Schoenfeld 2013 and his paste of the Aird 2018 abstract page

A Short on when to stop eating before a workout told a 1997 review as finding 7 to 20 percent gains when athletes ate at least 60 minutes before prolonged exercise; the review covered studies that gave carbohydrate at least 60 minutes before exercise

ShortA Carb Drink 30 Minutes Before Hard Cycling Beat the 2-Hour Wait

What it said

The Short said that "For sessions running over 60 minutes, eating beforehand provides a" small but measurable performance boost, and that "A review of studies found performance increases of" 7 to 20 percent "when athletes ate at least 60 minutes before prolonged exercise".

What it says now

It says an older review of studies that gave "some form of carbohydrate at least 60 minutes before exercise" found "no adverse impact on performance", and that multiple studies in it reported increases of 7 to 20 percent.

Why, and the source

The ISSN position stand on nutrient timing says "A 1997 review by Hawley and Burke summarized the results of several studies that provided some form of carbohydrate at least 60 min before exercise. They found no adverse impact on performance. In fact, multiple studies reported performance increases of 7–20%". It gives no length for the exercise and does not call it prolonged, so it does not tie the 7-20% to sessions over 60 minutes; the studies gave carbohydrate, not necessarily a meal; and the 7-20% came from some of the studies, not from the review as a whole. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map), Q448: the page read in full against Mark's re-pastes of the position stand and of Aragon & Schoenfeld 2013 and his paste of the Aird 2018 abstract page

A Short on when to stop eating before a workout gave a 3-4 hour meal window as a position stand's guideline that "survived the evidence"; it is one review's suggestion for muscle growth around a lifting session

ShortA Carb Drink 30 Minutes Before Hard Cycling Beat the 2-Hour Wait

What it said

The Short said "The practical guideline that survived the evidence is a window, not a wall." and gave the 3-4 hour window as "The practical guideline from the ISSN Position Stand"; it added "For a ninety-minute session with lunch three hours before, still inside it." and that a large mixed meal "takes longer to digest and process, so spacing it" 5 to 6 hours from the post-exercise meal is reasonable.

What it says now

It says "For muscle, the practical guideline one review offers is a window, not a wall." and credits the window to Aragon and Schoenfeld (2013).

Why, and the source

The window comes from a review by Aragon and Schoenfeld (2013), not from the ISSN position stand on nutrient timing: "Due to the transient anabolic impact of a protein-rich meal and its potential synergy with the trained state, pre- and post-exercise meals should not be separated by more than approximately 3–4 hours, given a typical resistance training bout lasting 45–90 minutes." The same review says "Distilling the data into firm, specific recommendations is difficult". Lunch three hours before a ninety-minute session is four and a half hours before its end. The review allows 5-6 hours when protein comes "within particularly large mixed-meals (which are inherently more anticatabolic)", not as digestion time. Source: Aragon AA, Schoenfeld BJ. Nutrient timing revisited: is there a post-exercise anabolic window? J Int Soc Sports Nutr. 2013;10:5.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map), Q448: the page read in full against Mark's re-pastes of the position stand and of Aragon & Schoenfeld 2013 and his paste of the Aird 2018 abstract page

A Short on when to stop eating before a workout cited the ISSN position stand on nutrient timing under the title of a different ISSN paper

ShortA Carb Drink 30 Minutes Before Hard Cycling Beat the 2-Hour Wait

What it said

The Short cited Kerksick et al. 2017 as "ISSN exercise & sports nutrition review update: research & recommendations".

What it says now

It cites it as "International society of sports nutrition position stand: nutrient timing".

Why, and the source

The paper published as J Int Soc Sports Nutr 14:33 (2017) is titled "International society of sports nutrition position stand: nutrient timing". The "ISSN exercise & sports nutrition review update" is a different paper. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map), Q448: the page read in full against Mark's re-pastes of the position stand and of Aragon & Schoenfeld 2013 and his paste of the Aird 2018 abstract page

A Short on when to stop eating before a workout said a standard warm-up neutralizes the blood sugar spike and dip of eating close to exercise; the study behind it found the equivalent of a proper warm-up negated rebound low blood sugar

ShortA Carb Drink 30 Minutes Before Hard Cycling Beat the 2-Hour Wait

What it said

The Short said "A standard warm-up, the kind you already do," neutralizes the spike and dip that eating close to exercise can trigger, and "Your body manages the spike the moment you start moving."

What it says now

It says that in one study the position stand cites, "the equivalent of a proper warm-up" effectively negated any rebound drop in blood sugar, and that taking the carbohydrate "15 minutes before exercise rather than 75 minutes before made the symptoms less likely".

Why, and the source

The ISSN position stand on nutrient timing says "while a number of athletes may be affected by this phenomenon, a study by Moseley et al. demonstrated that any “rebound hypoglycemia” response is effectively negated by what would be the equivalent of a proper warm-up and that shifting carbohydrate intake closer (15 min vs. 75 min) to when the exercise bout is scheduled to begin can minimize the likelihood of these symptoms." It describes a possible drop in blood sugar at the onset of exercise and one study in which the equivalent of a proper warm-up negated it, not a spike the body manages. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its DOI map), Q448: the page read in full against Mark's re-pastes of the position stand and of Aragon & Schoenfeld 2013 and his paste of the Aird 2018 abstract page

A carb-timing claim cited a 2025 trial under a name that is not its author, and under a shortened title

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim cited the trial as "Wojcik et al." and under the title "Impact of carbohydrate timing on glucose metabolism and substrate oxidation following high-intensity evening aerobic exercise in athletes".

What it says now

It cites "Mattsson et al." and the full title, which ends "a randomized controlled study".

Why, and the source

The paper's first author is Stig Mattsson (with Edin, Trinh, Adolfsson, Jendle and Pettersson); none of its authors is named Wojcik, a name from our own folder for the paper. Its title ends ": a randomized controlled study". Source: Mattsson S, Edin F, Trinh J, Adolfsson P, Jendle J, Pettersson S. Impact of carbohydrate timing on glucose metabolism and substrate oxidation following high-intensity evening aerobic exercise in athletes: a randomized controlled study. J Int Soc Sports Nutr. 2025;22(1):2494839.

Found by

part 2 of the Q387 sweep of Kerksick 2017 (queue Q441): the page read in full against Mark's re-pastes of the 2025 trial and the anabolic-window review (2026-10-11)

A carb-timing claim said a 2025 trial found no metabolic difference between carbs before and after evening exercise; the trial's main result was a difference

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim said the trial "found no metabolic or performance difference when daily needs were met", that "Overnight glucose, next-day performance — both came out the same", and that its carbohydrate doses had "the range was roughly 201 to 305 grams".

What it says now

It says carbs taken after the session "lowered glucose tolerance the next morning, the trial's main measure", that glucose "between midnight and 6 a.m." and "that evening's time trial" did not differ, and gives the dose as "253 grams on average, give or take 52".

Why, and the source

The trial (ten male cyclists, daily energy and carbohydrate needs met) gave glucose tolerance in a morning glucose test as its primary outcome and found that "Post-exercise CHO ingestion reduced glucose tolerance during the OGTT compared to the iso-caloric pre-exercise CHO intake" (p = 0.017); carbohydrate after exercise also raised metabolic flexibility. It found "no difference in nocturnal glucose regulation between the hours of 00:00–06:00", while glucose was higher after post-exercise carbohydrate between 21:00 and 24:00. The time trial was the same evening, not the next day. "253 ± 52 g" is a mean and standard deviation, not a range. The trial measured no body composition. Source: Mattsson S, Edin F, Trinh J, Adolfsson P, Jendle J, Pettersson S. Impact of carbohydrate timing on glucose metabolism and substrate oxidation following high-intensity evening aerobic exercise in athletes: a randomized controlled study. J Int Soc Sports Nutr. 2025;22(1):2494839.

Found by

part 2 of the Q387 sweep of Kerksick 2017 (queue Q441): the page read in full against Mark's re-pastes of the 2025 trial and the anabolic-window review (2026-10-11)

A carb-timing claim said a review found the post-workout window lasts the whole day and that a pre-workout meal is your post-workout nutrition; the review says neither

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim said the review "found that the so-called anabolic window extends to the entire post-exercise day" and "confirmed the mechanism" that "The pre-workout oatmeal IS your post-workout nutrition", and told someone who ate lunch at 1pm and trains at 5pm that "the gap is already covered".

What it says now

It says the review "found support for a narrow post-exercise 'anabolic window' far from definitive" and suggested "keeping pre- and post-exercise meals within about 3-4 hours of each other", that "A pre-workout meal with enough protein may already be your post-workout nutrition", and that "when training starts more than about 3 to 4 hours after the last meal" eating protein soon afterwards "seems warranted".

Why, and the source

Aragon and Schoenfeld (2013) call evidence-based support for an "anabolic window of opportunity" "far from definitive" and recommend that "pre- and post-exercise meals should not be separated by more than approximately 3–4 hours"; with particularly large mixed meals "a case can be made for lengthening the interval to 5–6 hours". They say a pre-exercise meal "can conceivably function as both a pre- and an immediate post-exercise meal", "depending on its size and composition", and that "when training is initiated more than ~3–4 hours after the preceding meal, the classical recommendation to consume protein (at least 25 g) as soon as possible seems warranted". They report no window lasting the whole day, and they call carbohydrate timing around resistance training "a gray area lacking cohesive data". It is a review, not a systematic review. Source: Aragon AA, Schoenfeld BJ. Nutrient timing revisited: is there a post-exercise anabolic window? J Int Soc Sports Nutr. 2013;10:5.

Found by

part 2 of the Q387 sweep of Kerksick 2017 (queue Q441): the page read in full against Mark's re-pastes of the 2025 trial and the anabolic-window review (2026-10-11)

A carb-timing claim rated its evidence High Certainty and "remarkably clean"; its own sources call the data scant and a gray area

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim rated its evidence High Certainty (index 92), called it "remarkably clean" with "Zero divergent studies", rated publication-bias risk low because the findings were "published across multiple journals", and its search description said "researchers examined whether any of it moves the body-comp needle".

What it says now

It is rated Moderate Certainty (index 81), says "The evidence on carb timing and body composition points one way but is thin", counts the 2025 trial as partly consistent, and notes "All four sources appeared in one journal".

Why, and the source

Three of the four sources share two authors (Schoenfeld and Aragon), and all four appeared in the Journal of the International Society of Sports Nutrition. The meta-analysis concerns protein timing; the 2025 trial measured glucose and fuel use, not body composition, and its primary outcome changed with carbohydrate timing. The review says carbohydrate timing around resistance training "is a gray area lacking cohesive data to form concrete recommendations", and the position stand says "the number of studies that have truly examined a timing question is rather scant". No source tested carb cycling or backloading. The index was re-weighed with the claim pipeline's own formula. Source: Aragon AA, Schoenfeld BJ. Nutrient timing revisited: is there a post-exercise anabolic window? J Int Soc Sports Nutr. 2013;10:5.

Found by

part 2 of the Q387 sweep of Kerksick 2017 (queue Q441): the page read in full against Mark's re-pastes of the 2025 trial and the anabolic-window review (2026-10-11)

A carb-timing claim called its four sources independent; two researchers co-wrote three of them

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim called its sources "four independent analyses" and "Four independent research teams", and described them as "a 19-author consensus review, two structured reviews, and a 2025 RCT".

What it says now

It says "Three of four analyses — a 19-author position stand, and a review and a meta-analysis co-written by two of its authors" and that "three of the four share two authors".

Why, and the source

Brad J Schoenfeld and Alan A Aragon are authors of the position stand. Its reference list gives "Aragon AA, Schoenfeld BJ. Nutrient Timing Revisited" and "Schoenfeld BJ, Aragon AA, Krieger JW. The Effect Of Protein Timing On Muscle Strength And Hypertrophy: A Meta-Analysis", the claim's two other 2013 sources. The second is a meta-analysis, not a structured review. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste of the position stand and his PDF of Schoenfeld et al. 2013

A carb-timing claim called the 61% of glycogen left after six sets of leg extensions barely below three-quarters, and gave fibre figures from no source on the page

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim said "Biopsy data from a standard lifting session (6 sets of leg extensions) showed the tank was still" 61% full, "barely below three-quarters", and that heavy-lifting fibres "lose closer to 54% of their fuel".

What it says now

It says "Six sets of leg extensions cut the working muscle's glycogen by 39%", that the tank was "still well over half full", and gives no fibre figure.

Why, and the source

The position stand reports that "performing six sets of 12RM leg extension exercise has been shown to reduce glycogen stores in the vastus lateralis by 39%", which it calls "modest in comparison to exhaustive endurance exercise". About 61% is left, well below three quarters. The 54% figure is in none of the claim's four sources. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste of the position stand and his PDF of Schoenfeld et al. 2013

A carb-timing claim said all four of its sources rank energy, macronutrients, food quality and timing in one order; none gives that order, and one does not rank them at all

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim said "The hierarchy is the same across all four analyses", with "Then food quality" as one of its levels, and that daily intake ranks above timing "in every evidence assessment examined".

What it says now

It says "Three of the four sources put the same thing first" and that "The 2025 trial held daily intake the same in every condition, so it did not compare the two".

Why, and the source

The ISSN position stand ranks protein timing below "the ingestion of optimal amounts of daily protein" and stresses "adequate energy, carbohydrate, and protein intake"; the Aragon and Schoenfeld review favours "meeting total daily carbohydrate need instead of specifically timing its constituent doses"; the Schoenfeld 2013 meta-analysis found total protein intake "the strongest predictor" of muscle gain. None of them names food quality as a level. The 2025 trial gave every participant "an identical, individualized diet", so it did not compare daily totals with timing. Source: Aragon AA, Schoenfeld BJ. Nutrient timing revisited: is there a post-exercise anabolic window? J Int Soc Sports Nutr. 2013;10:5.

Found by

part 2 of the Q387 sweep of Kerksick 2017 (queue Q441): the page read in full against Mark's re-pastes of the 2025 trial and the anabolic-window review (2026-10-11)

A carb-timing claim said a protein shake maxes out the muscle-building signal and that added carbs add nothing; the source says insulin's effect on muscle breakdown plateaus

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim said "Adding 50 grams of dextrose pushes insulin higher, but the muscle-building signal was already maxed out" and that post-workout carbs add "nothing beyond what adequate protein already provides".

What it says now

It says "Past that ceiling, more insulin buys no extra brake on muscle breakdown" and that post-workout carbs "likely adds little beyond what adequate protein already provides".

Why, and the source

The position stand says "insulin-mediated effects on reducing proteolysis plateau within a range of ~ 15–30 μIU/mL", reached by "a 45 g bolus of whey protein isolate alone", and concludes that post-workout carbohydrate "likely exerts minimal influence from a muscle development standpoint provided adequate protein is consumed". It reports one trial in which 50 g maltodextrin with 25 g whey did not raise muscle protein synthesis further, and one 12-week trial with no added benefit. The trial it reports used maltodextrin, not dextrose. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste of the position stand and his PDF of Schoenfeld et al. 2013

A carb-timing claim said six and three meals a day produce identical body composition; the source reports limited effects and a possible benefit with exercise

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim said "eating 6 times versus 3 times per day produced identical body composition outcomes when total calories matched".

What it says now

It says the stand "reports a trial in which six versus three meals a day, on the same calorie deficit, made no significant difference to body mass or obesity indices over eight weeks" and "adds that more frequent meals may help when combined with exercise".

Why, and the source

The position stand says changing meal frequency "has shown limited impact on weight loss and body composition", reports one eight-week trial with "no significant differences in any of the measured endpoints", and says "more frequent meals may be more beneficial when accompanied by an exercise program". Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste of the position stand and his PDF of Schoenfeld et al. 2013

A carb-timing claim described a position stand as reviewing the complete evidence at the highest evidence tier, and credited it with points it does not make

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim said the stand "reviewed the complete timing evidence", called it the "Highest available evidence tier for this question", said it "identified completely fasted training as one of the narrow scenarios", and based its 24-hour finding on "molecular signaling data (GLUT-4 translocation, glycogen synthase activity, amino acid uptake kinetics)".

What it says now

It says the stand "reviewed the timing evidence", notes that it says "nearly all research on the topic requires further investigation", gives what it says about the pre-exercise meal, and that it "cites a 2015 review (Morton, McGlory and Phillips) for the 24-hour sensitization".

Why, and the source

The position stand describes itself as "an objective and critical review" and says "nearly all research within this topic requires further investigation". It says "the size and timing of a pre-exercise meal may impact the extent to which post-exercise protein feeding is required"; it does not single out fasted training (a separate review by two of its authors does, and the page now credits it). For the 24-hour sensitization it cites one review (Morton et al. 2015), not GLUT-4 data. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste of the position stand and his PDF of Schoenfeld et al. 2013

A carb-timing claim gave a position stand's rapid-refuelling window as four to eight hours; the stand says under four

ClaimDoes Carb Timing Actually Matter? What 4 Analyses Found

What it said

The claim said "the timing-relevance threshold (<4-8h) is a novel synthesis contribution from the position stand", gave the stand's finding as "only critical when recovery is required within 4-8 hours between sessions", and elsewhere put the window at "less than 4 to 8 hours away" and "less than eight hours away".

What it says now

It says rapid refeeding "is recommended when glycogen must be restored in less than 4 hours of recovery", that "the <4 h recovery threshold is the position stand's own recommendation", and credits the wider line to the other source: "The review by two of the stand's authors draws the line a little wider".

Why, and the source

The ISSN position stand on nutrient timing recommends its rapid-refuelling strategies "If rapid restoration of glycogen is required (< 4 h of recovery time)". Its only "8 h" is for athletes training "high volumes (i.e., ≥ 8 h) of exercise per week". The line at about 8 hours, and lifters who train the same muscles twice a day, come from a separate review by two of its authors (Aragon and Schoenfeld 2013), which the page now credits for them. Source: Kerksick CM, Arent S, Schoenfeld BJ, et al. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q387 Rule 30 sweep of Kerksick 2017 (its phrase map): the page read in full against Mark's re-paste of the position stand and his PDF of Schoenfeld et al. 2013

A claim page said the 1980 study behind the cardio worry had not held up; the meta-analysis cites it as showing interference with maximal strength at high training volume

ClaimDoes Cardio Kill Your Gains? What 43 Studies Found

What it said

The page said "The entire belief rests on one impossible protocol and one untranslated animal pathway. Forty-three human studies later, neither has held up."

What it says now

It says the 1980 study found interference "when the overall training volume was high", that the meta-analysis "still cites it", and that rodent and cell models "indicated that aerobic exercise might inhibit" the muscle-building signal, which the human studies "failed to confirm".

Why, and the source

The meta-analysis writes that "Aerobic training has been shown to interfere with the development of maximal strength when the overall training volume is high", citing the 1980 study, and includes that study in its maximal-strength analysis. For the molecular pathway it describes "rodent and cellular models indicating possible inhibition", which later human studies "failed to confirm". Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A claim page said an earlier meta-analysis found that running reduced muscle growth and that the finding disappeared in a larger pool

ClaimDoes Cardio Kill Your Gains? What 43 Studies Found

What it said

The page said "An earlier, smaller meta-analysis of 21 studies found that running specifically reduced hypertrophy while cycling did not" and that "that finding disappeared entirely", calling it "an artifact of a smaller sample size".

What it says now

It says the earlier meta-analysis "linked smaller growth to more frequent and longer cardio", that the 43-study analysis "did not confirm that link", and gives the authors' possible reasons.

Why, and the source

The 2022 meta-analysis describes the earlier one (Wilson et al.) as finding that muscle hypertrophy and maximal strength were not compromised, with a subgroup link between smaller hypertrophy and aerobic training frequency and duration, which it did not confirm; it names more studies, different inclusion criteria and a different method as possible explanations. It says nothing about running in that study. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A claim page described its evidence as stronger than the papers show: the largest review ever, three independent analyses, no publication bias, one of the most settled findings

ClaimDoes Cardio Kill Your Gains? What 43 Studies Found

What it said

The page called the meta-analysis "the largest evidence review ever conducted on the question", spoke of "three independent groups" and "three independent confirmations", said there was "No evidence of publication bias for any outcome" and that most studies "used moderate training volumes", and called this "one of the most settled findings in exercise science".

What it says now

It names "a 43-study meta-analysis" and "two more meta-analyses", says the publication-bias tests' "results are not reported in the article text", and that most included studies "were of medium methodological quality" and seven "were of low quality".

Why, and the source

The paper does not call itself the largest review. It reports its publication-bias methods, with the funnel plot in its supplement, but not their results in the article text. It rates most included studies as medium quality (mean PEDro score 4.3 of 10) and seven as low, and does not report training volumes as moderate. It lists Tommy R Lundberg among its authors, and the page cites the muscle-fibre analysis as Lundberg et al.: no source shows the analyses were independent. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A claim page said a few hours between cardio and lifting makes the cost to explosive strength vanish, that exercise order does not matter, and that sprinting was affected

ClaimDoes Cardio Kill Your Gains? What 43 Studies Found

What it said

The page said "The penalty only appears when cardio and weights happen in the same session. Separate them by a few hours and the interference vanishes. Completely.", "Exercise order doesn't matter", "Exercise order did not matter (p > 0.05)", and that explosive power is the ability to "sprint faster".

What it says now

It says the penalty "was larger when cardio and weights happened in the same session, within 20 minutes of each other; in studies that kept them at least three hours apart, it was not significant", and "there was no evidence that the order mattered".

Why, and the source

In the meta-analysis the cost to explosive strength was significant when all 18 studies were pooled (p = 0.007). By subgroup it was significant in studies with 20 minutes or less between the two (p = 0.043) "but not when concurrent training was separated by at least 3 h"; the authors found no evidence for an order-specific effect and print no p value for order. The eligible measures were jump tests, isometric rate of force development and dynamic power, not sprinting. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A claim page and the training guide's audio said every one of 43 studies agreed that cardio does not reduce muscle growth; growth was measured in 15, and single studies varied

ClaimDoes Cardio Kill Your Gains? What 43 Studies Found GuideThe complete evidence guide to exercise and body composition

What it said

The claim said the finding came from 43 studies "And every single one agreed", "Zero disagreement", that the evidence base was "remarkably unanimous", and showed 43 tiles labelled "studies found zero interference with muscle growth"; the training guide's audio said "Every study agreed".

What it says now

The claim says "Muscle growth was measured in 15 of those studies", that single results "ranged from −0.67 to 0.28", and that "none reported a significant interference effect on muscle growth"; the tile graphic is removed. The guide's audio says "For growth, measured in fifteen of them, the difference was too small to tell apart from zero".

Why, and the source

The 2022 meta-analysis pooled 43 studies, but muscle growth was measured in 15 of them (201 + 188 people): SMD −0.01 (95% CI −0.16 to 0.18). Its heterogeneity statistic was zero, which means the studies did not vary more than chance would explain; single studies still ranged from −0.67 to 0.28 for growth and from −1.37 to 1.99 for maximal strength. The paper says none of the studies reported a significant interference effect on muscle hypertrophy, not that every study agreed. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A claim page said the meta-analysis tested every variable, and described its comparisons of age, training level and weekly frequency more broadly than they were made

ClaimDoes Cardio Kill Your Gains? What 43 Studies Found

What it said

The page said researchers tested "every variable you might think makes you the exception", "Whether you're 25 or 55", "Whether you train three times a week or six", and that "this finding holds equally for adults over 40".

What it says now

It says researchers tested "several of the variables", by whether "the study groups averaged under or over 40", "untrained or already active", "about four or about six sessions a week", and that aerobic intensity and "total cardio volume" could not be tested.

Why, and the source

The meta-analysis ran subgroup analyses "only" for cardio type (cycling vs running), concurrent training frequency (about 4 vs about 6 weekly sessions), training status (untrained vs active), the mean age of each study's participants (18–40 vs over 40) and training modality. Aerobic intensity was not included because the studies did not report it consistently, and no analysis looked at total cardio volume. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A claim page printed a sentence as a quote from the concurrent-training meta-analysis that the paper does not contain

ClaimDoes Cardio Kill Your Gains? What 43 Studies Found

What it said

The page quoted the paper as saying "The results of the present meta-analysis suggest that concurrent training does not negatively impact whole-muscle hypertrophy compared with strength training alone", with its statistics.

What it says now

The quote is the paper's own conclusion: "This updated meta-analysis shows that concurrent aerobic and strength training does not interfere with the development of maximal strength and muscle hypertrophy compared with strength training alone."

Why, and the source

The sentence the page printed is not in the paper. The new quote is copied word for word from the paper's conclusion. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A study page said a bigger pool of studies overturned an earlier meta-analysis; the paper gives other possible reasons too

What it said

The page said "What looked meaningful in a smaller sample could not survive a broader evidence base" and "When Schumann assembled the larger 43-study pool, the running-specific effect disappeared".

What it says now

It says the analysis "did not confirm that link", and that the authors give "several possible reasons".

Why, and the source

The paper says its results "do not confirm" the earlier meta-analysis's link between smaller growth and more frequent and longer cardio, and gives several possible explanations: it came almost a decade later with more studies, its inclusion criteria differed, and the two computed effect sizes differently. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A study page said all 43 studies agreed that cardio did not reduce muscle growth; growth was measured in 15, and single studies varied

What it said

The page said "Every single one of the forty-three studies pointed in the same direction", "Not one research team found evidence that cardio meaningfully reduced muscle growth", that the difference was "The equivalent of losing one cent on a hundred-dollar deposit" and that "The agreement extended across sex"; its graphic showed "43 filled dots representing 43 studies that all found no meaningful interference effect on muscle growth".

What it says now

It says "In the 15 studies that measured muscle size" the difference was one hundredth of a standard deviation, that "Single studies ranged from −0.67 to 0.28", and that "The meta-analysis did not compare men with women". The graphic is removed.

Why, and the source

Muscle growth was measured in 15 of the 43 studies (201 + 188 people): SMD −0.01 (95% CI −0.16 to 0.18). The heterogeneity statistic was zero, which means the studies did not vary more than chance would explain; single studies still ranged from −0.67 to 0.28. A difference in standard deviations is not a share of the gains, and sex was not one of the analysis's subgroups. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A study page said the meta-analysis rated its risk of bias rather low and called it publicly funded; the paper says neither

What it said

The page said "the researchers assessed the overall risk of bias as rather low", that quality scales were "designed for drug trials", that "The studies used mostly moderate-intensity cardio", and that this was "Publicly funded academic research".

What it says now

It says the studies averaged "medium quality, and seven studies scored low", that "poor reporting may have biased the scores", that the studies "didn't report it consistently enough" (cardio intensity), and that "No funding sources were used".

Why, and the source

In the paper, "rather low" describes "the overall risk of interference effects", not the risk of bias: most included studies were of medium quality (mean PEDro score 4.3), seven were of low quality, and poor reporting "may have biased" the ranking. Aerobic intensity was left out because the studies "did not provide consistent information". The authors state that "No funding sources were used" (open access was funded through Projekt DEAL). Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A study page told a mechanism the authors call speculation, and one that animal and cell models only suggested, as established

What it said

The page said "Research in animal cells showed" that cardio's signal blocks muscle growth, that the pathway was "demonstrated in animal cells", and that the reason explosive power suffers "has nothing to do with your muscles. It's your nervous system".

What it says now

It says "Rodent and cellular models indicated" a possible block and "When human studies went looking for it, they failed to confirm it"; and that the mechanism for explosive strength "requires further research", with other studies suggesting "changes in muscle architecture or tendon size as other possible explanations".

Why, and the source

The paper says the idea came from "rodent and cellular models indicating possible inhibition" of muscle-growth signalling, which "subsequent human studies failed to confirm". On explosive strength it says the mechanism "requires further research", that "It could be speculated" that fatigue from aerobic training affects the signals reaching the motor neurons, and that other studies suggest changes in pennation angle, fascicle length or tendon size. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A study page printed sentences as quotes from the meta-analysis that the paper does not contain

What it said

Pull quotes credited to the paper read "Nobody confirmed it in the humans it was applied to" and "They care that you ran twenty minutes ago"; a machine-readable note quoted the paper as saying "whether this is confirmed in humans remains unclear".

What it says now

The pull quotes are sentences from the paper's abstract: "Concurrent aerobic and strength training does not compromise muscle hypertrophy and maximal strength development" and "explosive strength gains may be attenuated". The invented quote is removed.

Why, and the source

None of those sentences is in the paper. Its abstract concludes that concurrent training "does not compromise muscle hypertrophy and maximal strength development" and that explosive strength gains "may be attenuated, especially when aerobic and strength training are performed in the same session". Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A study page said cardio's cost to explosive strength appeared only in the same session and vanished with three hours between sessions

What it said

The page said "The interference appeared only when both were done back to back in the same workout", "Separate them by three hours, and the penalty vanished", "The three-hour window between sessions is the entire fix", that the order "made no difference", and named "a fast sprint, or a quick change of direction" as explosive power.

What it says now

It says the interference "was significant when both were done within twenty minutes of each other", that with three or more hours between them "the penalty was not significant", that "The analysis found no evidence that order mattered", and that explosive strength was "measured as jump height, rate of force development and power".

Why, and the source

Across 18 studies the meta-analysis found explosive strength gains smaller with concurrent training (SMD −0.28, p = 0.007). In its subgroups the effect was significant when both were done in the same session (20 minutes apart or less; p = 0.043) "but not when concurrent training was separated by at least 3 h"; not significant is not the same as gone. It found no evidence for an order effect, comparing order only "when a sufficient number of studies were available". Explosive strength was measured with jump tests, rate of force development and power, not sprints. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A Short said three hours between cardio and lifting makes cardio's cost to explosive strength disappear

ShortHow Much Cardio Can You Do and Still Build Muscle?

What it said

The Short said "Separate cardio and lifting by three hours and the effect disappears entirely" and that the hit comes "If you lift within twenty minutes of finishing cardio".

What it says now

It says "the difference was not significant with three hours between them", and that the cost came "Within twenty minutes of each other, in either order".

Why, and the source

In the meta-analysis, interference with explosive strength was significant in studies with 20 minutes or less between the two (p = 0.043) "but not when concurrent training was separated by at least 3 h", and the authors found no evidence that the order mattered. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A Short gave a 15-study growth result as the whole 43-study meta-analysis's and said every study agreed

ShortHow Much Cardio Can You Do and Still Build Muscle?

What it said

The Short said "Across 43 studies and 1,090 people" the interference with growth was 0.01 standard deviations, that "every study in the pool agreed", and that "Every trial in the pool, regardless of protocol, found the same thing".

What it says now

It says "In the 15 studies that measured growth, the difference was 0.01 standard deviations", and that single trials "ranged from −0.67 to 0.28".

Why, and the source

Muscle growth was measured in 15 of the 43 studies (201 + 188 people): SMD −0.01 (95% CI −0.16 to 0.18). The heterogeneity statistic was zero, which means the trials did not vary more than chance would explain; single trials still ranged from −0.67 to 0.28. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A Short said a meta-analysis tested every cardio variable, intensity included, and found no amount of cardio costs muscle; it tested frequency, cardio type, age and training status, not intensity or volume

ShortHow Much Cardio Can You Do and Still Build Muscle?

What it said

The Short said "no amount or type of cardio produced a detectable ceiling for muscle growth", that the studies covered "every combination of frequency, intensity, type, training status, and age", and that "The intensity debate, for muscle purposes, is settled"; its graphic had an intensity row.

What it says now

It says the meta-analysis looked at "training frequency, cardio type, training status and age", that "Cardio intensity and total volume were not tested", and that beyond the range tested "this evidence does not say". The intensity row is removed.

Why, and the source

The 2022 meta-analysis ran subgroup analyses "only" for aerobic training type, frequency (about 4 against about 6 combined sessions a week), training status, mean age and training modality. Aerobic intensity "was not included", and the authors cite earlier work where aerobic training interfered with maximal strength when overall training volume was high, a meta-analysis where concurrent high-intensity intervals compromised lower-body strength gains, and a review reporting that such intervals could minimise the risk of neuromuscular interference. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A Short described cardio's cost to explosive strength as hitting sprint starts and cleans and as disappearing with three hours' rest

ShortCardio Before or After Weights: What 43 Studies Show

What it said

The Short said the one cost was to explosive power ("box jumps, sprint starts, cleans"), that with three hours or more between them "even that small effect disappears", and that strength and muscle growth were "completely unaffected".

What it says now

It says explosive strength was "measured with jump tests, rapid-force tests and leg power", that "In studies that kept the two at least three hours apart, that effect was not significant", and that maximal strength and muscle growth "was not compromised".

Why, and the source

The meta-analysis measured explosive strength with jump tests, isometric rate of force development and dynamic power; no sprint or clean was tested. The effect was significant within the same session (≤ 20 min apart; p = 0.043) "but not when concurrent training was separated by at least 3 h". Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A Short said 43 studies tested cardio before against after weights and found the order changes nothing; they compared cardio added or not, and found no evidence of an order effect

ShortCardio Before or After Weights: What 43 Studies Show

What it said

The Short said "Forty-three concurrent training studies, covering 1,090 people, tested this directly. Cardio first versus weights first", found "no order-specific effect on any variable", and that the order "changes nothing"; it called the weights-first advice "confident, unanimous, and ungrounded", and its title said "43 Studies Dissolved the Debate".

What it says now

It says the 43 studies were included because "each compared cardio added to a strength program with the same strength program alone", that the authors "compared cardio first with weights first where there were enough studies to do so", that earlier studies "had suggested that neuromuscular interference may be larger when lifting comes straight after cardio", and that the pooled result was "no evidence for an order-specific effect".

Why, and the source

Each study in the meta-analysis compared cardio added to a strength programme with an "identical strength training prescription, with no aerobic training". Order was compared only "for studies comparing concurrent training in the same session, when a sufficient number of studies were available", and the authors write that their "pooled analysis did not provide evidence for an order-specific effect", in explosive strength. They also note that previous studies had indicated neuromuscular interference "may be more pronounced when strength training is immediately preceded by aerobic training". Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A Short reported that cardio order left aerobic capacity unchanged; the meta-analysis it cites never measured aerobic capacity

ShortCardio Before or After Weights: What 43 Studies Show

What it said

The Short said "Strength, muscle growth, aerobic capacity: none of them shifted based on which came first", its audio said "Aerobic capacity: identical", and its graphic showed "Endurance" with "No change".

What it says now

It says that between them the studies "measured three things: maximal strength (37 studies), explosive strength (18) and muscle growth (15)". The graphic is removed.

Why, and the source

The 2022 meta-analysis lists its outcomes as maximal strength, explosive strength and muscle hypertrophy. It has no aerobic capacity or endurance outcome. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A Short told a second meta-analysis on body composition as the explanation for the concurrent-training result

ShortHow Much Muscle Does Cardio Actually Cost?

What it said

The Short said "a second meta-analysis explains why" adding cardio barely changed muscle growth, that "The interference debate was never about cardio versus weights. It was about volume", and in its audio that "A second meta-analysis found the explanation".

What it says now

It says "A second meta-analysis looked at body composition" and gives that paper's own result, without presenting it as the explanation for the concurrent-training findings.

Why, and the source

The concurrent-training meta-analysis found no interference with muscle growth, and it did not confirm an earlier report that more frequent or longer aerobic training reduces it; the frequency of concurrent training did not significantly influence any outcome. Its one interference effect, on explosive strength, was larger when cardio and lifting were done in the same session. Presenting a second paper's body-composition result as the explanation was the page's own inference. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A Short told the authors' guess about why cardio blunts explosive strength as the established mechanism

ShortEvery Answer on the Cardio-Lifting Gap Is Different. The Data Explains Why.

What it said

The Short said "The reason sits in how the nervous system fires", that "Residual fatigue from cardio temporarily dulls that speed", and that muscle growth and maximal strength "were immune all along".

What it says now

It says "The authors say the mechanism requires further research", that "they speculate that leftover fatigue from cardio may affect the signals reaching those neurons", and that "Other studies suggest changes in muscle fibre angle, fibre length or the knee tendon as other possible explanations".

Why, and the source

The meta-analysis calls the mechanism "interesting" and says it "requires further research". It writes "It could be speculated that residual fatigue induced by aerobic training affects the corticospinal inputs received by the motor neurons", and notes that other studies suggest pennation angle, fascicle length or patella tendon size as possible explanations. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

Two Shorts said a three-hour gap removes cardio's cost to explosive strength, and one said order made no difference to any outcome; the meta-analysis found the cost not significant at three hours and no evidence of an order effect

ShortHow Much Muscle Does Cardio Actually Cost? ShortEvery Answer on the Cardio-Lifting Gap Is Different. The Data Explains Why.

What it said

The Shorts said "separate the two by three hours and even that penalty disappears", "A three-hour gap eliminates even that", that the cost was "fixable with a scheduling change", that it hit "sprint speed", and that cardio first or weights first "produced identical results" for every outcome tested.

What it says now

They say that "In the studies that kept them at least three hours apart, the penalty was not significant", that "spacing the two apart may help", and that "the pooled analysis found no evidence that cardio first or weights first mattered".

Why, and the source

Explosive strength (jump tests, rate of force development, power; no sprint test) gained less with cardio added (SMD −0.28), significantly so within the same session (≤ 20 min apart, p = 0.043) "but not when concurrent training was separated by at least 3 h". The authors say practitioners "may benefit from separating" the two, and that their "pooled analysis did not provide evidence for an order-specific effect". Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

Two Shorts gave a 15-study muscle-growth result as the whole 43-study, 1,090-person meta-analysis's, and one said every study agreed

ShortHow Much Muscle Does Cardio Actually Cost? ShortEvery Answer on the Cardio-Lifting Gap Is Different. The Data Explains Why.

What it said

The Shorts said "Across 43 studies and 1,090 people, adding cardio to a lifting program reduced muscle growth" by one hundredth of a standard deviation, that the analysis pooled "every controlled trial the field had produced", and that muscle growth was "completely untouched" and "Every study in the pool agreed".

What it says now

They say "In the 15 studies that measured it" the difference was one hundredth of a standard deviation, "too small to tell apart from zero", in a meta-analysis that "pooled 43 controlled studies that added cardio to an identical lifting program".

Why, and the source

The 2022 meta-analysis included 43 studies and 1,090 people, but muscle growth was measured in 15 of them (201 + 188 people): SMD −0.01 (95% CI −0.16 to 0.18; p = 0.919), with single studies ranging from −0.67 to 0.28. It does not claim to include every trial ever run. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

Shorts cited the concurrent-training meta-analysis under another paper's title or a made-up short title, and gave a wrong p-value and study count

ShortWeekly Muscle Group Order: The Variable Your Muscles Can’t Detect ShortEvery Training Plateau Fix Was Solving Half the Problem ShortYou Stopped Training. The Muscle Came Back Nearly Double. ShortCardio’s Promise to Your Squat

What it said

Citations named it "Fitness, body composition, and cardiometabolic health with concurrent training" and "Concurrent Aerobic and Strength Training Compatibility"; a researchers' note gave "p = 0.87"; an answer gave the explosive-strength result as "Across 43 concurrent training studies".

What it says now

The citations give the paper's title, "Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis"; the note gives "p = 0.919, in the 15 studies that measured growth"; the answer says the explosive result was "measured in 18 of them".

Why, and the source

The paper's title is "Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis". Its pooled growth result is SMD −0.01 (p = 0.919) from 15 studies, and its explosive-strength result SMD −0.28 (p = 0.007) from 18 studies. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A Short said the order of cardio and weights "played no role" and spacing removed all interference; the meta-analysis found no evidence of an order effect, in explosive strength

ShortWeekly Muscle Group Order: The Variable Your Muscles Can’t Detect

What it said

The Short said "Sequence played no role. Spacing determined everything", that with a few hours apart "the interference disappears", and that "The sequence is irrelevant".

What it says now

It says the one interference, "smaller gains in explosive strength", was "significant within the same session, not significant when the two were at least three hours apart", and that the meta-analysis "found no evidence that the order mattered".

Why, and the source

In the 2022 meta-analysis explosive strength gains were smaller with concurrent training (SMD −0.28), significantly so within the same session (≤ 20 min apart; p = 0.043) "but not when concurrent training was separated by at least 3 h". On order it says: "our pooled analysis did not provide evidence for an order-specific effect". Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

Shorts credited the concurrent-training meta-analysis with findings on training breaks and protein timing it does not report

ShortYou Stopped Training. The Muscle Came Back Nearly Double. ShortWhat Really Happens to Muscle When You Stop Training ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training

What it said

Pages said the 43-study synthesis "found that any training stimulus preserves lean mass during a break", linked it for "even mild movement during a break", and listed a protein-timing finding as "Confirmed by Schumann et al. 2022".

What it says now

They say the meta-analysis found that "adding cardio to lifting did not hold back muscle growth" and that "It did not study breaks"; the protein line no longer cites it.

Why, and the source

The 2022 meta-analysis compared supervised programmes of cardio added to an "identical strength training prescription, with no aerobic training", over at least 4 weeks, and measured maximal strength, explosive strength and muscle hypertrophy. It has nothing on breaks from training, detraining, fat gain or protein. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

A claim said the concurrent-training meta-analysis added weights to cardio and beat cardio alone for body shape; it added cardio to strength training and made no comparison with cardio alone

ClaimWill Lifting Weights Make You Bulky? 29 Studies Measured the Difference

What it said

The claim said the 43 studies "found that adding weights to a cardio routine did not slow muscle growth at all" and that "Body shape improved more than with cardio alone".

What it says now

It says the studies "compared lifting plus cardio with the same lifting alone" and that the meta-analysis "made no comparison with cardio alone, and body shape was not among its outcomes".

Why, and the source

The meta-analysis included studies that added aerobic training to a strength programme and compared them with an "identical strength training prescription, with no aerobic training". Its outcomes were maximal strength, explosive strength and muscle hypertrophy, nothing on body shape, and it made no comparison with cardio alone. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

Pages said a 43-study meta-analysis found cardio costs lifters nothing at all, with every study agreeing; its growth result came from 15 studies and it found smaller gains in explosive strength

ClaimHIIT for Fat Loss: 29 Trials Measured the Afterburn at 5 Grams Per Day StudyYour Training App Counts Sets Wrong. 67 Studies Prove It. StudyYour Heart Can’t Tell If You Ran or Lifted After 60 StudyCardio vs. Weights: The 1 kg Gap Nobody Mentions StudyWomen Build Muscle at the Same Rate. So Why the Fear? GuideThe complete evidence guide to exercise and body composition ClaimThe Best Exercise for Fat Loss Doesn’t Exist — Here’s What 65 Trials Actually Reveal ClaimCardio vs Weights for Fat Loss — 36 Trials, One Surprising Answer ClaimDo You Need Heavy Weights to Build Muscle? ClaimHow Many Sets Per Week Do You Need to Build Muscle?

What it said

Pages said that adding cardio to strength training "caused zero harm to muscle growth", that the clash is "by every measure, zero", that it "costs neither muscle nor strength", that it "cost nothing in any of the 1,090 participants tested", and that "Every single study agreed".

What it says now

They say the meta-analysis found that adding cardio "did not hold back muscle growth" in "the 15 studies that measured it", that the difference "was too small to tell apart from zero", and that the clash shows up "only for explosive strength".

Why, and the source

The 2022 meta-analysis pooled 43 studies of cardio added to an identical strength programme. Muscle growth was measured in 15 of them (389 people): the pooled difference was SMD −0.01 (95% CI −0.16 to 0.18), "indicating no interference effect", while single studies ranged from −0.67 to 0.28. Maximal strength was not compromised either. Explosive strength was: SMD −0.28 (p = 0.007), "especially when aerobic and strength training are performed in the same session". Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 2022;52(3):601-612 (online 10 November 2021).

Found by

the Q465 Rule 30 sweep of Schumann 2022: every page citing or restating the concurrent-training meta-analysis read in full against Mark's re-paste of the paper

The light-versus-heavy study page said the analysis reversed its lead author's earlier finding and that all 21 studies were rated good to excellent; neither is what the paper says

StudyDo You Need Heavy Weights to Build Muscle? 21 Studies

What it said

The page said "This larger analysis (21 studies) reversed that trend" toward heavier loads, that the lead author's "earlier work helped establish the traditional load-hypertrophy guidelines", that he "published against his own prior findings", and that "All 21 included studies were rated good to excellent quality".

What it says now

It says the earlier meta-analysis found that "statistical probability favored heavier loads for both", that this one again found "heavy loads ahead for the one-rep max", and that the studies "averaged good to excellent quality".

Why, and the source

The paper cites an earlier meta-analysis of 9 studies by Schoenfeld and colleagues, which "noted that statistical probability favored the heavier load conditions for both outcomes". This analysis again found heavy loads significantly better for the one-rep max and, for muscle growth, a trend toward heavy loads (p = 0.10) with similar mean gains: it did not reverse the earlier lean. The paper does not say its lead author's earlier work established the training guidelines it cites. On quality it reports a mean rating of 5.6, "indicating the pool of studies to be of good to excellent quality; no study in the analysis was deemed to be of poor quality", which does not mean every study was rated good or excellent. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: the analysis's own FitChef page read in full against the saved journal page

The light-versus-heavy study page said heavy weights gave no advantage for the strength you use in daily life; the analysis tested isometric strength and found a small, non-significant lean toward heavy loads

StudyDo You Need Heavy Weights to Build Muscle? 21 Studies

What it said

The page said that on isometric strength "the difference between heavy and light disappeared entirely", that "Isometric strength is the kind you actually use", that daily acts of strength showed "no advantage for heavy weights whatsoever", that the one-rep max is "a competition metric used in powerlifting" and "a skill with no transfer to the strength you actually need", and showed a "Daily strength" bar of zero.

What it says now

It says isometric strength rose "22.6% against 20.5% across 8 studies, not statistically significant", that without one influential study the authors "saw a likely benefit for heavier loads, though a small one", and that the one-rep max is "a test of maximal strength".

Why, and the source

The analysis tested isometric strength on neutral instruments, not everyday tasks: in 8 studies the difference between loads was not significant (22.6% against 20.5%, p = 0.43), and without the study by Van Roie et al. the authors found "a likely benefit in favor of heavier loading, albeit of a relatively small magnitude". It does not call the one-rep max a competition skill; it calls heavy loads' larger gains there "consistent with the principle of specificity". Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: the analysis's own FitChef page read in full against the saved journal page

The light-versus-heavy study page gave the analysis a participant total, a sex and age make-up, a heterogeneity figure, isometric statistics, rep counts and an adverse-effect split that are not in it

StudyDo You Need Heavy Weights to Build Muscle? 21 Studies

What it said

The page said "six hundred and eighty-four people" took part, that they were "mostly untrained men" in "their twenties and thirties" and "72% male, mean age ~25", gave isometric results of "ES = 0.04, 95% CI: -0.14 to 0.22, p = 0.80", compared "6 reps to failure" with "25+ reps to failure" and "8 reps or 25 reps", and said the adverse effects were "distributed equally between heavy and light conditions". It also gave the growth result a heterogeneity of zero.

What it says now

It describes the participants as having "no known medical conditions or injuries", says "The one-rep-max results rest mostly on untrained people", gives isometric strength as "22.6% against 20.5% across 8 studies, not statistically significant", defines heavy and light loads by percentage of the one-rep max ("more than 60%" and "60% or less") or, where a study gave repetitions, as "up to 15" and "more than 15", and says "minor tendonitis in one and two minor injuries in the other, one in each group".

Why, and the source

The paper's text gives no participant total, no breakdown by sex or age and no heterogeneity figure; a correction of 2026-06-03 removed the participant total from this page's headline fields, but its narrative still spelled it out. Its isometric result is a difference in mean effect size of -0.09 (CI -0.34 to 0.17, p = 0.43), 22.6% against 20.5%, in 8 studies. It classed loads above 60% of the one-rep max as heavy and loads of 60% or less as light (where a study reported repetitions instead, up to 15RM as heavy and above 15RM as light), and compared no particular rep counts. Of the 2 studies that reported mild adverse effects, one reported minor tendonitis and the other 2 minor injuries, one in each group. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: the analysis's own FitChef page read in full against the saved journal page

The light-versus-heavy study page credited the analysis with mechanisms it does not report: a growth signal at failure, and recruitment that works the same at any age and for either sex

StudyDo You Need Heavy Weights to Build Muscle? 21 Studies

What it said

The page said "the biological signal that triggers muscle growth fires at the same moment regardless", that "the underlying mechanism (complete motor unit recruitment at failure) has no known age dependency", that the muscle-building mechanism "works the same way regardless of sex", and that "the finding was consistent regardless of sex".

What it says now

It says "Why light loads can keep up is still debated", that the authors "call it debatable whether lighter loads recruit them all", and that "the analysis did not test results by sex".

Why, and the source

The paper says it "remains debatable" whether lighter loads can recruit a muscle's entire pool of motor units, and cites researchers who "postulated" complete recruitment at failure with loads as low as 30% of one-rep max. It reports no growth signal, and its analyses tested load, body half and, for one-rep-max strength, training status: not age or sex. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: the analysis's own FitChef page read in full against the saved journal page

The light-versus-heavy study page said the last impossible rep is the only thing that decides muscle growth; every study in the analysis went to failure, so it could not test that

StudyDo You Need Heavy Weights to Build Muscle? 21 Studies

What it said

The page said "The only thing that determines whether your muscles grow is whether your last rep is genuinely, physically impossible", that "the single variable separating effective training from ineffective training" was whether the last rep reached failure, and that "The weight is irrelevant — but that final impossible rep is everything."

What it says now

It says "In those studies, the last rep of every set was genuinely, physically impossible", that "Whether stopping a rep or two short builds as much, this analysis cannot say", and that the authors note "that training to failure may not produce better results than stopping short".

Why, and the source

Every study in the analysis took every set to momentary muscular failure, so failure was a condition of all of them, not something they compared. The authors write that "comparable results cannot reasonably be assumed for submaximal, nonfailure training", and, citing other work, that "training to failure may not result in superior adaptations than nonfailure RT". Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: the analysis's own FitChef page read in full against the saved journal page

The light-versus-heavy study page said light and heavy weights build statistically identical muscle with zero disagreement between studies; the analysis found similar growth with a non-significant lean toward heavy loads

StudyDo You Need Heavy Weights to Build Muscle? 21 Studies

What it said

The page said the growth was "Statistically indistinguishable" and "statistically identical", that "Every single one of the twenty-one studies pointed the same direction", "Zero disagreement across the entire body of evidence", that the gap was "Statistically invisible", "21 studies. Zero difference in muscle growth.", and that "Twenty-one studies agreed unanimously".

What it says now

It says muscle grew "8.3% with heavy loads and 7.0% with light ones", "a slight edge for heavy that fell short of statistical significance", and that "taking out any one of the three most influential shrank the lean toward heavy loads".

Why, and the source

The 2017 meta-analysis pooled direct measures of muscle size from 10 of its 21 studies. It found a trend toward heavier loads in the mean effect size (p = 0.10, "high load being slightly greater than low loads"), no impact of load in the study-level analysis (p = 0.56), mean gains of 8.3% against 7.0%, and 5 influential studies whose removal reduced the difference. The authors call the changes "similar between conditions". Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: the analysis's own FitChef page read in full against the saved journal page

A Short said the 2017 load analysis confirmed muscle growth does not depend on load; it found similar growth with a non-significant lean toward heavy loads

ShortHow Much Stronger Do New Lifters Get? What One Meta-Analysis Measured

What it said

The Short said growth was "only 7 to 8%, regardless of load", and that a "non-significant difference confirms load-independence of hypertrophy".

What it says now

It says growth was "similar between loads with every set to momentary failure", with "a non-significant trend toward heavy loads".

Why, and the source

In 10 studies with direct measures of muscle size, growth was similar with heavy and light loads (8.3% against 7.0%), with a trend toward heavy loads in mean effect size (p = 0.10) and no impact of load at study level (p = 0.56). Every set went to momentary muscular failure, and the authors write that comparable results "cannot reasonably be assumed for submaximal, nonfailure training". Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

A Short said heavy loads' strength edge vanished on a static test; the 2017 analysis found it smaller and not significant

ShortHow Much Stronger Do New Lifters Get? What One Meta-Analysis Measured

What it said

The Short said that on a static hold "the gap vanished", and that "The extra strength was not extra muscle. It was practice with that exact lift."

What it says now

It says heavy and light loads gave "22.6% against 20.5%" in isometric strength, "the difference was not significant", that without one study the authors "saw a likely benefit for heavier loads, though a small one", and that the gap "did not vanish".

Why, and the source

In 8 studies of isometric strength the difference between loads was not significant (22.6% against 20.5%, p = 0.43); without the study by Van Roie et al., the authors found "a likely benefit in favor of heavier loading, albeit of a relatively small magnitude". The paper does not say the heavy-load edge in the one-rep max was practice rather than muscle; it calls that edge consistent with the principle of specificity. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

Two Shorts told the 2017 load analysis's strength and muscle-size results as one set of programs; one also set them four to one and gave numbers the paper does not report

ShortHow Much Stronger Do New Lifters Get? What One Meta-Analysis Measured ShortEveryone Agreed on First-Year Muscle Gain. Then Someone Measured It.

What it said

A Short said lifters gained "28 to 35% in one-rep-max strength" while muscle size "over those same programs" grew "Only 7 to 8%", that strength "outpaced your visible growth by roughly four to one", gave the growth result as "p = 0.24" with "Effect sizes: 0.68 vs 0.43", and said the studies "ranged from 6 to 16 weeks". Another put those figures "In that same window" as the ten-week average programs of a different review.

What it says now

They give the strength result from 14 studies and the muscle-size result from 10, say "the two results do not come from the same set of studies", and give the paper's own growth figures: "a trend toward high loads in mean ES (p = 0.10)" and "no impact of load at study level (p = 0.56)". They say the analysis "gives no figure for a first year".

Why, and the source

In the paper, one-rep-max strength was pooled from 14 studies (35.4% with heavy loads, 28.0% with light) and muscle size from 10 studies with direct measures (8.3% against 7.0%; a trend toward heavy loads, p = 0.10; no impact of load at study level, p = 0.56). Its text does not set strength against size, give p = 0.24 or effect sizes of 0.68 and 0.43 for growth, or give an upper limit for program length: its criterion was a minimum of 6 weeks, with no result by program length. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

Two Shorts credited the 2017 light-versus-heavy load analysis with showing that early strength gains are neural; it does not test that

ShortHow Much Stronger Do New Lifters Get? What One Meta-Analysis Measured ShortEveryone Agreed on First-Year Muscle Gain. Then Someone Measured It.

What it said

One Short said "Most early strength is neural, not muscular: your brain learns to recruit and coordinate existing muscle more efficiently before visible growth begins", citing Schoenfeld et al. 2017, and that "This is neural adaptation, and it accounts for most of what you have felt in those early months". Another, linking to it, called the gap between strength and size "driven almost entirely by the nervous system learning to use existing tissue more efficiently".

What it says now

They say the paper "does not say early strength is neural" and that "the paper does not say why strength rose by more". The one explanation it gives is about loads: heavy loads' edge on the one-rep max is consistent with "the principle of specificity".

Why, and the source

The 2017 meta-analysis compared light and heavy loads in programs of at least 6 weeks and measured strength and muscle size. It measured nothing in the nervous system and does not attribute early strength gains to neural adaptation. Its explanation for the larger one-rep-max gains with heavy loads is that they are "consistent with the principle of specificity". Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

A Short told one placebo group's fall as the rate vitamin D drops in winter; most winter placebo groups did not fall

ShortVitamin D in Winter: Nine Placebo Groups, No Single Rate

What it said

It said "Vitamin D levels in unsupplemented adults decline at approximately 0.5 ng/mL per week during winter", that "blood levels fall without supplementation at a traceable rate", and that "This rate was measured during a 2024 meta-analysis".

What it says now

It says that in the nine winter trials "the average level fell in three", "ended higher in five", and "was unchanged in one", and that "The paper reports no rate of decline".

Why, and the source

In Han et al. (2024), Table 4, the placebo groups of the nine winter trials fell in three (by 1.6 to 4.5 ng/mL), ended higher in five and were unchanged in one (an eight-day trial). The paper gives no decline rate and no pooled placebo change; the 0.5 ng/mL a week came from the one autumn trial. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

Q493 (the Rule 30 follow-up sweep of Han 2024) and Q496 (the rewrite Mark chose, M270), against Mark's pastes

A Short on vitamin D in winter placed its one trial in a British winter; the trial ran in New Zealand in autumn

ShortVitamin D in Winter: Nine Placebo Groups, No Single Rate

What it said

It said "Unsupplemented adults entered a British winter at 38.0 ng/mL", described its chart as "12 winter weeks at UK latitude (54 degrees N)", and gave the trial "UK latitudes (53-55°N)".

What it says now

It says "One trial ran in autumn, not winter: professional rugby players in New Zealand", and describes its chart as "12 autumn weeks (March to May) in New Zealand".

Why, and the source

Han et al. (2024) list the trial (Fairbairn et al.) in New Zealand at 45–46.5° S, in autumn, March to May, in professional rugby players; the paper says the other nine trials ran in winter. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

Q493 (the Rule 30 follow-up sweep of Han 2024) and Q496 (the rewrite Mark chose, M270), against Mark's pastes

Why your friend stays lean: the claim's certainty assessment rested on two misreadings and is lowered (Moderate Certainty unchanged)

ClaimWhy can your friend eat more than you and stay lean — and what is actually going on?

What it said

The claim was rated Moderate Certainty. Its assessment added a bonus for three independent methods reaching the same conclusion and another for a 2023 paper said to have confirmed the mechanism.

What it says now

Both bonuses are removed and its certainty is lowered; it stays Moderate Certainty.

Why, and the source

The two Levine studies come from one Mayo Clinic group, and the 2005 study found that "posture allocation is not the mechanism by which NEAT is modulated with short-term overfeeding"; Levine (2023) states a hypothesis and calls orexin "one of several mediators". The claim pipeline's scoring rules list neither bonus. Without them, the certainty is lower; the tier stays Moderate Certainty. Source: Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, Jensen MD, Clark MM. Interindividual Variation in Posture Allocation: Possible Role in Human Obesity. Science. 2005;307:584-586.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Two pages told a two-study subgroup as low carb coming out ahead, without saying it was not significant

ClaimHow Many Carbs Per Day to Build Muscle? ShortBuilding Muscle on Keto: The Measurement That Fooled Both Camps

What it said

They said "low carb actually came out ahead" and "the direction reversed the moment someone picked up a ruler that wasn't compromised", and that lower-carb groups "showed slightly more growth" with no caveat.

What it says now

They say "low carb came out slightly ahead, though not significantly" and that with two studies the authors call it hard to interpret.

Why, and the source

Henselmans et al. (2026): the subgroup restricted to ultrasound measures "non-significantly" favoured lower carbohydrate intake (SMD -0.26) and "comprised only two studies, greatly limiting interpretability". Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

A claim misstated who was studied in a carbohydrate meta-analysis, for how long, and what its trials left out

What it said

It said "227 resistance-trained participants", "trained males aged eighteen to forty", "All eleven trials lasted six to eleven weeks" and "none of the studies tested carb manipulation during a calorie deficit".

What it says now

It says "about 227 participants in all, most of them trained", "the meta-analysis admitted adults aged eighteen to sixty-five", that the trials "averaged about eight and a half weeks", and that at least two trials ran on calorie-restricted diets.

Why, and the source

Henselmans et al. (2026): two of the eleven trials recruited untrained people; adults aged 18-65 were eligible; the trials averaged 8.5 weeks; the paper prints an average of 20.6 participants per trial and no total. Its reference list includes a "calorie restricted" ketogenic trial and a "reduction diet" trial among the eleven. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

A vitamin D Short told a review's cell-culture and possible mechanisms as established

What it said

Its research summary said "vitamin D increases insulin receptor expression via Akt phosphorylation, genomic effects via VDR-RXR complex on contractile proteins".

What it says now

It says "in vitro, 1,25D increased insulin receptor expression" and that "vitamin D could have delayed effects on muscle through gene expression".

Why, and the source

Girgis et al. (2014) describe the insulin receptor finding under "In vitro studies help to explain this link", and write that "Vitamin D could lead to delayed effects on muscle via gene expression" through the VDR-RXR complex. Source: Girgis CM, Clifton-Bligh RJ, Turner N, Lau SL, Gunton JE. Effects of vitamin D in skeletal muscle: falls, strength, athletic performance and insulin sensitivity. Clin Endocrinol. 2014;80(2):169-181.

Found by

Q493, the Rule 30 follow-up sweep of Han 2024, Sist 2023 and Girgis 2014 against Mark's pastes

Two vitamin D Shorts gave a meta-analysis wrong co-author names, a title it does not have and a reason it does not give

ShortThe Vitamin D Number That Changes in Four Weeks ShortWhat Vitamin D2 Does to the D3 in Your Blood

What it said

The timing Short's chart data named the co-authors "Mingzhu Xiang", "Qiao Tan", "Jichang Shao" and "Qian Wang"; the D2 vs D3 Short cited the paper as "Vitamin D3 Supplementation and Upper and Lower Limb Muscle Strength in Healthy Adults" and said it excluded D2 because "D2 considered sufficiently different from D3".

What it says now

The timing Short names "Mai Xiang", "Qiushi Tan", "Jing Shao" and "Qirong Wang"; the D2 vs D3 Short cites "Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes" and says the paper "Listed the use of vitamin D2 among its exclusion criteria".

Why, and the source

The paper's byline and citation line read Han Q, Xiang M, An N, Tan Q, Shao J and Wang Q (Qi Han, Mai Xiang, Nan An, Qiushi Tan, Jing Shao, Qirong Wang), Front Nutr 2024;11:1381301, under the title "Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials". It lists the use of vitamin D2 among its exclusion criteria and gives no reason. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

Q493, the Rule 30 follow-up sweep of Han 2024, Sist 2023 and Girgis 2014 against Mark's pastes

A vitamin D Short told the meta-analysis authors' four-to-twelve-week summary as what all ten trials showed, and added speeds the paper does not report

ShortThe Vitamin D Number That Changes in Four Weeks

What it said

It said "Four to twelve weeks is the window that emerged from ten randomized trials, all at doses above 2,000 IU per day", that "Starting lower means arriving faster", with "deficient individuals responding fastest", that a "Subgroup analysis showed the 4–12 week window", and that the supplement raises your levels "faster than three months", "almost certainly".

What it says now

It gives four to twelve weeks as "the window the researchers drew from their ten randomized trials, which ran from about one to twelve weeks at 2,000 IU a day or more", says "Not every trial got there: in two 12-week trials, the supplemented group's average ended below 30 ng/mL.", and that "In seven of the ten trials, levels were already higher at the first follow-up reported, one to eight weeks in".

Why, and the source

Han et al. (2024) conclude that 4-12 weeks at a daily dose above 2,000 IU raised athletes from insufficient to sufficient levels, especially in winter; their trials lasted about 1 to 12 weeks, the lowest dose was 2,000 IU a day, and two 12-week trials ended with average levels below 30 ng/mL (29.6 and 26.6). Seven trials report a follow-up before twelve weeks, at one to eight weeks; all ten tested athletes. The paper compares no speeds by starting level, runs no subgroup analysis by duration, and says nothing about how certain a rise is for any one person. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

Q493, the Rule 30 follow-up sweep of Han 2024, Sist 2023 and Girgis 2014 against Mark's pastes

A vitamin D Short set one trial's six-week result against its placebo group's twelve-week value, and told that placebo group's fall as what happens without a supplement

ShortThe Vitamin D Number That Changes in Four Weeks

What it said

It said one group "reached 44.4 in six weeks" while the placebo group "drifted the other direction: 38.0 down to 32.0", and that "Even individuals with adequate vitamin D levels see further increases with supplementation, while unsupplemented levels decline."

What it says now

It says the placebo group went "38.0 down to 34.0 in the same six weeks", reaching 32.0 by twelve, scopes the fall to "In that trial", and says "in one, the placebo group's levels declined".

Why, and the source

In Han et al. (2024), Table 4, Fairbairn's placebo group was at 34 ng/mL at six weeks and 32 at twelve, while the supplemented group was at 44.4 and 45.6. (The paper's Table 5 lists 44.4 and 34 as the twelve-week values; under either table, 44.4 and 32 were not measured at the same time.) In the other trial that started with adequate levels (Brzeziański), the placebo group's level rose, from 25.5 to 27.2 ng/mL. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

Q493, the Rule 30 follow-up sweep of Han 2024, Sist 2023 and Girgis 2014 against Mark's pastes

Two vitamin D Shorts told a non-significant strength result as no change at all, and left out the one test that did improve

ShortThe Vitamin D Number That Changes in Four Weeks ShortWhat Vitamin D2 Does to the D3 in Your Blood

What it said

The vitamin D timing Short said strength on bench press, vertical jump, handgrip and leg extension "barely moved", that it was "Not a marginal improvement that missed a threshold — a near-zero shift", and its chart read "near zero"; the D2 vs D3 Short credited the meta-analysis with "zero strength benefits".

What it says now

The timing Short says "the pooled effect was not significant (p = 0.08)" and that "Only quadriceps contraction, measured in two of the trials, improved significantly"; its chart reads "not significant". The D2 vs D3 Short says "no significant impacts on strength assessments".

Why, and the source

Han et al. (2024) report an overall strength effect of SMD 0.18 (p = 0.08), which they call "suggestive of a potential trend", and a significant gain in maximal quadriceps contraction (SMD 0.57, p = 0.04) from two studies. Not significant is not the same as no change, and one of the four tests did improve. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

Q493, the Rule 30 follow-up sweep of Han 2024, Sist 2023 and Girgis 2014 against Mark's pastes

A vitamin D study page named the wrong authors for two of its sources

StudyYour Blood Says Vitamin D Works. Your Muscles Disagree.

What it said

Its reference list gave the authors of the Agoncillo review as "Agoncillo M, Yu J, Bhatt DL, Bhargava A" and the fourth author of the Sist meta-analysis as "Sherwood R".

What it says now

It lists "Agoncillo M, Yu J, Gunton JE" and "Sist M, Zou L, Galloway SDR, Rodriguez-Sanchez N".

Why, and the source

The papers' own citation lines: Agoncillo, M.; Yu, J.; Gunton, J.E. (Nutrients 2023, 15, 4377) and Sist M, Zou L, Galloway SDR and Rodriguez-Sanchez N (Front. Nutr. 10:1163313). Source: Agoncillo M, Yu J, Gunton JE. The Role of Vitamin D in Skeletal Muscle Repair and Regeneration in Animal Models and Humans: A Systematic Review. Nutrients. 2023;15(20):4377.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D study page said the quadriceps respond because they are packed with receptor-carrying fast-twitch fibres; none of its sources says so

StudyYour Blood Says Vitamin D Works. Your Muscles Disagree.

What it said

Its section "The Muscle Built to Catch the Signal" said "Quadriceps are packed with type II muscle fibers" that "carry something most other muscle groups do not have in the same concentration", and the page called the quadriceps "the one muscle built to receive it".

What it says now

The section is now "A Suggested Mechanism, Not a Tested One": the authors "describe a general suggestion from earlier work, not one specific to the quadriceps", and "None of the papers cited here says the quadriceps carry more of those receptors than other muscles, or that they responded for that reason".

Why, and the source

Han et al. (2024) offer "A suggested mechanism" through vitamin D receptors "within muscle cells" and write that the quadriceps result "lacks sufficient support from the results" and "falls short of providing conclusive evidence". Agoncillo, Yu and Gunton (2023) report type II fibre atrophy only in rats; mice lacking the receptor in muscle cells had larger fibres with "no clear differences in fiber types". No source on the page says any muscle or fibre type carries more receptors. The explanation had been written from planning notes, not from the papers. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D study page told non-significant strength results as zero, and the blood result as one of the most reliable in sports nutrition

StudyYour Blood Says Vitamin D Works. Your Muscles Disagree.

What it said

It said "Three tests. Three zeros.", "Vertical jump showed nothing. Handgrip showed nothing.", that "three of four strength tests came back empty", and that the blood increase "is one of the most reliable results in sports nutrition".

What it says now

It says "Three tests. Three non-significant results.", that "three of four strength tests showed no significant gain", and that the blood increase "was highly significant (p < 0.0001)".

Why, and the source

Han et al. (2024) report "no substantial improvements" in bench press (SMD −0.15), vertical jump (SMD 0.21) and handgrip (SMD 0.21), each with a confidence interval spanning zero: not significant, which is not the same as zero. The pooled blood increase was 14.76 ng/mL (p < 0.0001); the paper ranks it against nothing else in sports nutrition. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D study page misstated details of its own meta-analysis: screening count, winter trials, durations, databases and who was recruited

StudyYour Blood Says Vitamin D Works. Your Muscles Disagree.

What it said

It said the trials "specifically recruited athletes who were already vitamin D deficient", that "Every trial in this meta-analysis showed that deficient athletes reliably crossed into sufficient blood levels", that "Seven of ten studies conducted during winter", that the search covered "PubMed, EMBASE, Web of Science, Cochrane Library", and that the strength answer "depends almost entirely on where you start"; it gave 354 as the number of records screened.

What it says now

It says "Most athletes in these trials started with low vitamin D", that "after the 8-day trial's single dose, the average stayed below it", "Nine of ten studies conducted during winter", a search of "PubMed, EBSCO SPORTDiscus and Cochrane Library", that "This meta-analysis did not split its strength results by starting level", and 1,929 records screened.

Why, and the source

Han et al. (2024) reviewed 1,929 titles and abstracts and included ten trials, nine run in winter; they searched PubMed, EBSCO SPORTDiscus and the Cochrane Library; two trials started with adequate vitamin D; after the single dose in the 8-day trial average levels stayed below 30 ng/mL; and they split their trials by baseline status for blood levels only, never for strength. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D study page told two mechanism reviews as stronger than they are

StudyYour Blood Says Vitamin D Works. Your Muscles Disagree.

What it said

It said that when the receptor was removed "grip strength dropped, endurance collapsed, and fibers shrank — fast-twitch fibers first", that a review "confirmed the same receptor in human muscle tissue" and found it "triggers the calcium burst muscles need to contract", and that the evidence came from "two independent sources".

What it says now

It says "Mice lacking the receptor throughout the body had weaker grip and smaller muscle fibers", that type II fibres shrank in rats, that the review "describes the receptor in bird, mouse and human muscle cells, while noting that one paper found none", and that the two reviews share an author.

Why, and the source

Agoncillo, Yu and Gunton (2023) report weaker grip and smaller fibres in mice lacking the receptor, type II atrophy only in rats, and in mice lacking it in muscle cells larger fibres with "no clear differences in fiber types". Girgis et al. (2014) write that the receptor's presence "is described" and that "controversy remains" about whether it is expressed in adult muscle; they say vitamin D's effects "may be rapid" and "could" act through gene expression. Gunton is an author of both reviews, the last named on each. Source: Agoncillo M, Yu J, Gunton JE. The Role of Vitamin D in Skeletal Muscle Repair and Regeneration in Animal Models and Humans: A Systematic Review. Nutrients. 2023;15(20):4377.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D claim gave a second meta-analysis effect sizes it does not report, and counted shared trials twice

What it said

Its statistics gave the second meta-analysis "SMD = 0.13 (95% CI: -0.22 to 0.49)", "SMD = 0.23 (95% CI: -0.12 to 0.58)" and "SMD = 0.09 (95% CI: -0.26 to 0.45)"; the page said "over 700 athletes" and that, "In the pooled data, athletes already above 30 ng/mL" saw no strength change.

What it says now

It gives "SMD = 0.25 (95% CI: -0.44 to 0.95), athletes starting below 75 nmol/L", "SMD = 0.26 (95% CI: -0.13 to 0.65), athletes starting below 75 nmol/L" and "SMD = 0.15 (95% CI: -0.42 to 0.72), athletes starting at 75 nmol/L or above"; it names the two analyses as "354 and 436 athletes" that share six trials, and credits the result above 30 ng/mL to "the meta-analysis that split athletes by starting level".

Why, and the source

Sist et al. (2023) report SMD 0.25 (−0.44 to 0.95) for upper and 0.26 (−0.13 to 0.65) for lower body strength in athletes below 75 nmol/L, and 0.15 (−0.42 to 0.72) for power in athletes at or above it. Six of the ten trials in Han et al. (2024) are also in Sist et al., so the two samples overlap; Han et al. did not analyse strength by starting level. Source: Sist M, Zou L, Galloway SDR, Rodriguez-Sanchez N. Effects of vitamin D supplementation on maximal strength and power in athletes: a systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2023;10:1163313.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D claim said the quadriceps respond because they are packed with receptor-carrying fast-twitch fibres; none of its sources says so

What it said

Its statement said the quadriceps are "the muscle group with concentrated vitamin D receptors on its fast-twitch fibers"; its body said "Quads are packed with type II fast-twitch fibers" whose fibers "carry vitamin D receptors physically embedded in the membrane", and that the supplement "reached the one muscle group built to receive it".

What it says now

It says the meta-analysis authors "describe one general suggestion, not specific to the quadriceps", that "None of the papers examined here says the quadriceps carry more of those receptors than other muscles", and that the quadriceps result is "a preliminary result from two studies that the meta-analysis authors call short of conclusive".

Why, and the source

Han et al. (2024) offer "A suggested mechanism" through receptors "within muscle cells" and write that the quadriceps result "lacks sufficient support from the results" and "falls short of providing conclusive evidence". Agoncillo, Yu and Gunton (2023) report type II fibre atrophy only in rats; mice lacking the receptor in muscle cells had larger fibres with "no clear differences in fiber types". No source on the page says any muscle or fibre type carries more receptors. The explanation had been written from planning notes, not from the papers. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D claim told non-significant strength results as zero

What it said

Its highlight figure was Zero, for "The overall strength improvement vitamin D delivered across 354 athletes"; it said "None of them improved strength", the supplements "did nothing for strength", and the other three tests "flat-lined".

What it says now

The highlight figure now counts the strength tests that improved significantly: 1 of 4. The page says the doses "did not significantly improve strength" and that the other three measures "showed no significant change".

Why, and the source

Han et al. (2024) found an overall effect that was not significant (SMD 0.18, 95% CI −0.02 to 0.37, p = 0.08) and "no substantial improvements" in bench press, vertical jump and handgrip; one of four tests, quadriceps contraction, was significant (p = 0.04). Not significant is not the same as zero. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D claim told two mechanism reviews as stronger than they are, and as agreeing that supplements do not improve strength

What it said

It said "VDR knockout mice show significant reductions in grip strength and endurance with type II (fast-twitch) muscle fiber atrophy", that the atrophy "is reversible with supplementation", that "The receptor biology is established", and that Girgis et al. (2014) "Confirms VDR on human muscle tissue"; it called Agoncillo et al. (2023) a "Narrative review" with "Human evidence limited to one exercise-induced muscle damage study", and said all four sources "converge on the same answer".

What it says now

It says mice lacking the receptor "throughout the body had weaker grip and smaller muscle fibers", that type II fibre atrophy "was seen in rats", that the receptor is "described in avian, murine, and human muscle cells" while "one paper found none", that the human evidence "includes three studies of exercise-induced muscle damage", and that the Girgis review "concluded that supplementation may improve physical performance in athletes depending on the dose".

Why, and the source

Agoncillo, Yu and Gunton (2023) are a systematic review; their type II atrophy findings come from rats (a receptor knockdown in one muscle and a vitamin D-deficient diet), and the reversal by supplementation is the rat diet study. They describe three human studies of exercise-induced muscle damage. Girgis et al. (2014) write that the receptor's presence "is described" and that "controversy remains" about whether it is expressed in adult muscle, and conclude that vitamin D supplementation "may improve physical performance in athletes depending on the dose". Gunton is an author of both reviews. Source: Agoncillo M, Yu J, Gunton JE. The Role of Vitamin D in Skeletal Muscle Repair and Regeneration in Animal Models and Humans: A Systematic Review. Nutrients. 2023;15(20):4377.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D claim named the wrong journals for two papers and a non-author for a third

What it said

It said Han et al. (2024) was published in the "British Journal of Sports Medicine" and Girgis et al. (2014) in the "European Journal of Endocrinology", and cited the second meta-analysis as "Zhang & Sist".

What it says now

It cites Han et al. (2024) in "Frontiers in Nutrition", Girgis et al. (2014) in "Clinical Endocrinology", and the second meta-analysis as "Sist et al.".

Why, and the source

The papers' own citation lines: Han Q, Xiang M, An N, Tan Q, Shao J and Wang Q (2024), Front. Nutr. 11:1381301; Girgis CM, Clifton-Bligh RJ, Turner N, Lau SL, Gunton JE, Clinical Endocrinology 80:169-181; Sist M, Zou L, Galloway SDR and Rodriguez-Sanchez N (2023), Front. Nutr. 10:1163313. "Zhang" was a planning name for the paper, not one of its authors. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D claim misstated the confidence intervals, duration, safety and other details of its main meta-analysis

ClaimWhy can your friend eat more than you and stay lean — and what is actually going on? GuideCalories and Metabolism: Your Engine Is Fine, Your Gauge Is Broken

What it said

It quoted the meta-analysis as reporting "95% CI [-0.02, 0.38]" and "95% CI [0.02, 1.12]", gave "I² = 21%", said supplementation ran "4 weeks to 6 months", that the studies "none reported safety concerns", and that "higher doses successfully raised blood levels, but did not produce better strength outcomes".

What it says now

It quotes the paper's abstract word for word ("95% CI: −0.02 to 0.37" and "95% CI: 0.04 to 1.11"), says heterogeneity is "Not given in the text for strength outcomes", that supplementation ran "about 1 to 12 weeks", that the authors "note that concern has been raised about possible toxicity once blood levels pass 100 ng/mL", and that the meta-analysis "did not compare doses for strength".

Why, and the source

Han et al. (2024) report SMD 0.18 (95% CI −0.02 to 0.37) overall and SMD 0.57 (0.04 to 1.11) for quadriceps; give I² in their text only for baseline blood levels; state that the interventions "ranged approximately from 1 to 12 weeks"; do not report safety outcomes but flag toxicity concerns above 100 ng/mL; and split their trials by baseline status and by strength test, never by dose. The quote on our page had been composed rather than copied. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

Two vitamin D Shorts said the quadriceps respond because their fast-twitch fibres carry more vitamin D receptors; none of the cited papers says so

ShortYour Vitamin D Levels Improved. Your Muscles Didn’t Notice. ShortWhy Your Vitamin D Needs Magnesium at Every Step

What it said

The athletic-performance Short said "Muscle cells carry vitamin D receptors concentrated most densely on type II fast-twitch fibers — the explosive fibers the quads are packed with" and "Supplementation rescues fibers that have lost function from prolonged deficiency"; the magnesium Short said active vitamin D "binds to vitamin D receptors on the very fibers responsible for strength and power".

What it says now

The athletic-performance Short says "Muscle cells carry vitamin D receptors" and "No study cited here shows that the quads carry more of those receptors than other muscles"; the magnesium Short says the active form "can bind to the vitamin D receptors that muscle cells carry".

Why, and the source

Han et al. (2024) offer only "A suggested mechanism" through receptors "within muscle cells" and write that the quadriceps result "falls short of providing conclusive evidence". Agoncillo, Yu and Gunton (2023) report type II fibre atrophy only in rats, while mice lacking the receptor in muscle cells had larger fibres with "no clear differences in fiber types". No paper the pages cite says that any muscle or fibre type carries more receptors, or that supplements restore fibres in people. The mechanism had been written from planning notes, not from the papers. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D Short said a second meta-analysis studied a different group of athletes; it shares six of the ten trials

ShortYour Vitamin D Levels Improved. Your Muscles Didn’t Notice.

What it said

It said "A second independent analysis with a different group of athletes reached the same null", and listed that analysis's results as if each covered all its athletes.

What it says now

It says the second analysis "shares six of these ten trials", and gives each result with the athletes it applies to: "in athletes starting below 75 nmol/L" and "in those starting at 75 nmol/L or above".

Why, and the source

Six of the ten trials in Han et al. (2024) are also in the reference list of Sist et al. (2023): Close 2013 (twice), Fairbairn 2018, Jastrzębska 2016, Jung 2018 and Todd 2017. Sist et al. report upper and lower body strength for athletes whose starting level was below 75 nmol/L and muscle power for those at or above it. Source: Sist M, Zou L, Galloway SDR, Rodriguez-Sanchez N. Effects of vitamin D supplementation on maximal strength and power in athletes: a systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2023;10:1163313.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D Short told non-significant strength results as no change at all, and the blood rise as happening in every trial

ShortYour Vitamin D Levels Improved. Your Muscles Didn’t Notice.

What it said

It said "three of four measures came back flat", "none improved" and, in its audio, "Bench press — flat"; blood levels rose "in trial after trial" and "The blood improved every time".

What it says now

It says "three of four measures showed no significant gain", "none improved significantly", and that blood vitamin D rose "in the pooled analysis".

Why, and the source

Han et al. (2024) report "no substantial improvements" in bench press (SMD −0.15), vertical jump (SMD 0.21) and handgrip (SMD 0.21), each with a confidence interval spanning zero: not significant, which is not the same as no change. The blood result is a pooled mean difference across the trials (14.76 ng/mL), not a rise reported trial by trial. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A vitamin D Short cited its main meta-analysis in the wrong journal under a composed title, and a review in the wrong journal

ShortYour Vitamin D Levels Improved. Your Muscles Didn’t Notice.

What it said

It cited the meta-analysis as Han Q, et al. "The effect of vitamin D3 supplementation on muscle strength in athletes: a meta-analysis of randomized controlled trials", in Nutrients 2024;16(10):1474, and the Girgis 2014 review as published in Endocrine Reviews.

What it says now

It cites "Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials", Front Nutr. 2024;11:1381301, and the review in "Clinical Endocrinology".

Why, and the source

The paper's own citation line reads: Han Q, Xiang M, An N, Tan Q, Shao J and Wang Q (2024), Front. Nutr. 11:1381301, doi: 10.3389/fnut.2024.1381301 (the DOI on the page was right). Girgis et al. (2014) was published in Clinical Endocrinology, volume 80, pages 169-181. Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023, then Q453: the pages read in full against Mark's pastes of Han 2024, Agoncillo 2023, Girgis 2014 and Sist 2023

A claim said everyday movement outside exercise is largely built in; the studies behind it say it may be raised

ClaimProtein’s Thermic Edge Over Carbs and Fat — The Fine Print

What it said

Its FAQ on how protein's thermic effect compares with other influences said protein is a lever "you pull at every meal through a food choice, unlike NEAT, which appears to be largely built in".

What it says now

It says "The overfeeding study did not test NEAT as a lever a person sets on purpose, though its researchers suggest that behavioral cues and settings designed for movement may help raise it".

Why, and the source

Levine et al. (1999) held volunteers' exercise "at constant, low levels" and end: "efforts to enhance NEAT activation, perhaps through behavioral cues, may be a fruitful approach to the prevention of obesity." Levine et al. (2005), a pilot study, read posture allocation as appearing biologically determined but argued against destiny and called for getting people out of their chairs; Levine (2023) writes that environments "can be designed to reverse sedentariness and enable people to move". Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

A Short said how much people move predicted fat gain; the overfeeding study tested how much their movement rose

ShortWhat ‘Slow Metabolism’ Families Actually Inherited

What it said

It said "What predicted who stored fat was movement", "The variable that predicted fat gain was NEAT" and "NEAT predicted fat gain".

What it says now

It says "What predicted who stored more fat was how much their movement rose", "The variable that predicted fat gain was the rise in NEAT" and "the rise in NEAT predicted fat gain".

Why, and the source

Levine et al. (1999) measured activity thermogenesis before and after eight weeks of overfeeding and found that "changes in NEAT directly predicted resistance to fat gain"; they did not report whether people who moved more to begin with gained less fat. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Three Shorts overstated what the overfeeding study found and misdescribed how it was run

ShortFat Loss Lives in the 23 Hours You’re Not at the Gym ShortWhat ‘Slow Metabolism’ Families Actually Inherited ShortStanding Burns 9 Extra Calories Per Hour

What it said

The Shorts called everyday movement "the most variable part of daily calorie burn" and "a larger lever for weight loss than structured exercise", said the gap "came down almost entirely to NEAT", that one volunteer "stored almost nothing", that "none of the subjects exercised", that the study ran in "a controlled laboratory environment", and that the standing gap was "an order of magnitude larger".

What it says now

They say everyday movement "varies widely between people", that "No study here compared NEAT with exercise head to head for weight loss", that the gap "came down to how much their NEAT rose", that one person "stored about a third of a kilogram of fat", that "exercise was held at constant, low levels", that it was "a supervised outpatient study", and that the gap is "several times larger".

Why, and the source

Levine et al. (1999) studied 16 volunteers as outpatients, kept volitional exercise "at constant, low levels", found fat gain "ranging from a gain of only 0.36 kg to a gain of 4.23 kg", and wrote that changes in NEAT "accounted for the 10-fold differences in fat storage". It did not compare NEAT with exercise for weight loss. The 2005 study's calculated 352 calories a day is about six and a half times the 54 calories that six hours of standing adds, not an order of magnitude. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Three Shorts misdescribed a 2005 posture study: its calculated 352 calories, its design and its DOI

ShortFat Loss Lives in the 23 Hours You’re Not at the Gym ShortWhat ‘Slow Metabolism’ Families Actually Inherited ShortStanding Burns 9 Extra Calories Per Hour

What it said

The Shorts said the lean volunteers' sitting gap was worth roughly 350 calories "every day, burned by nothing more strenuous than being upright", that the gap "comes from unconscious movement (NEAT), not posture", that "That movement gap burned about" 352 calories per day, said in a search description that "a different variable burns 352 calories per day", credited the study as "Levine et al. 2005 via NEAT claim synthesis", and gave it the 1999 study's DOI.

What it says now

They say "had the heavier volunteers matched them, the researchers calculated, they would have burned roughly" 350 calories "more every day, from standing and walking about rather than exercise", that "Lean people's extra time upright is worth about 352 calories a day, one study estimated", cite "Levine et al. 2005, Science, a pilot study (n=20)", and give its own DOI, 10.1126/science.1106561.

Why, and the source

Levine et al. (2005) studied 10 lean and 10 mildly obese sedentary volunteers and calculated that "if the obese subjects had the same posture allocation as the lean subjects, they would have expended an additional 352" kcal per day; 89% of body movement was ambulation. It was a pilot study. Source: Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, Jensen MD, Clark MM. Interindividual Variation in Posture Allocation: Possible Role in Human Obesity. Science. 2005;307:584-586.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Two Shorts told how people split their day between sitting and moving as a fixed set-point; the study's own authors said it is not destiny

ShortFat Loss Lives in the 23 Hours You’re Not at the Gym ShortWhat ‘Slow Metabolism’ Families Actually Inherited

What it said

One Short said "the body seems to defend its own movement set-point, which is part of why NEAT is so hard to fake your way into"; the other that the split between sitting, standing and moving "runs through your family the same way height and bone structure do" and "persists through weight changes the same way your height does".

What it says now

They say that in a pilot study "they read it as appearing biologically determined" and that "They didn't call it destiny, though: if it were, they argued, obesity would have been as common 50 years ago as it is today".

Why, and the source

Levine et al. (2005) found posture allocation was maintained after weight loss and gain and wrote "it appears that interindividual differences in posture allocation are biologically determined", that "this was a pilot study and that the results need to be confirmed in larger studies", that if it were destiny "obesity would have been as common 50 years ago as it is today", and called for approaches "that succeed in getting people out of their chairs". Source: Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, Jensen MD, Clark MM. Interindividual Variation in Posture Allocation: Possible Role in Human Obesity. Science. 2005;307:584-586.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Two Shorts told the change in movement during overfeeding as a daily difference in burn between people

ShortFat Loss Lives in the 23 Hours You’re Not at the Gym ShortWhat ‘Slow Metabolism’ Families Actually Inherited

What it said

One Short said everyday movement is "swinging by hundreds of calories between otherwise similar people" and "can swing daily burn by hundreds of calories"; the other spoke of "NEAT varying by hundreds of calories per day".

What it says now

They say "how much it rose differed by hundreds of calories a day" and "the rise in NEAT differing by hundreds of calories per day".

Why, and the source

Levine et al. (1999) report the change in non-exercise activity when 16 adults ate 1,000 kcal a day over their needs: "the range of change in NEAT in our volunteers was large", the maximum increase 692 kcal/day. It is a response to overfeeding, not how much people burn on a normal day. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Three Shorts told everyday movement outside exercise as unconscious or unchosen

ShortFat Loss Lives in the 23 Hours You’re Not at the Gym ShortWhat ‘Slow Metabolism’ Families Actually Inherited ShortStanding Burns 9 Extra Calories Per Hour

What it said

The Shorts said the extra calories went to "a restlessness they never decided on", movement with "none of it on purpose", "The involuntary kind", "how much you move without deciding to" and "unconscious movement (NEAT)", and that the person who gained the least fat was "moving more without deciding to".

What it says now

They say "everyday movement outside exercise", "the activities of daily living, posture, fidgeting", and that "89% of the body movement the study measured was walking".

Why, and the source

Levine et al. (1999) define non-exercise activity thermogenesis as the energy of "physical activities other than volitional exercise, such as the activities of daily living, fidgeting, spontaneous muscle contraction, and maintaining posture" and do not say it was unconscious or unchosen. Levine et al. (2005) report total body movement, "89% of which was ambulation". Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Four Shorts misdescribed the overfeeding study's design and credited it with findings it does not report

ShortThe Calories Your Knee Is Burning Right Now ShortOvereat, and Movement Does Most of the Extra Burning ShortThe Movement Gap Behind Who Gains Weight Easier Short10,000 Steps Burn About 400 Calories. Here’s What That Number Leaves Out.

What it said

The Shorts called the study a "randomized controlled overfeeding trial" run under "metabolic ward conditions" with a "respiratory chamber", said "The furnace was nearly identical across all participants", that the largest rise was "more than most people burn in a deliberate workout", and credited it with the steps figure as "well-established via direct metabolic measurement".

What it says now

They call it a "Supervised overfeeding study (one group, no randomisation)" run "under supervision, as outpatients" with "doubly labeled water and indirect calorimetry", say resting metabolism's changes "did not track who gained fat", and call the steps figure "FitChef arithmetic on the study's 10-minute treadmill measurement".

Why, and the source

Levine et al. (1999) studied 16 volunteers as outpatients in one group, measured expenditure with doubly labeled water and indirect calorimetry, found that changes in resting metabolism did not account for the variability in fat gain, and measured oxygen use while walking at 3 mph for 10 minutes only to check exercise efficiency. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

A Short told a 2023 hypothesis paper as having uncovered why people fidget, and credited its 2.25-hour figure to a 2005 study

ShortThe Calories Your Knee Is Burning Right Now

What it said

The Short said "the same researcher uncovered why", that orexin is the "Primary mediator", that orexin-mediated activity was shown in "zebrafish and worms", and credited "Lean individuals stood and moved 2.25 hours/day more" to "Levine 2005".

What it says now

It says "the same researcher proposed why", that orexin "is one of several mediators (rat studies)", "orexin-mediated activity in zebrafish; worms fidget too", and gives the 2005 study's own figure: "Lean individuals were upright 152 min/day more than mildly obese individuals"; its body says that in the 2005 study "lean people were upright about" two and a half hours more a day.

Why, and the source

Levine (2023) opens "The hypothesis is that the Fidget Factor is the innate neurological pulse that propels humans and other species to move", calls orexin "one of several mediators", shows its effect in rats and zebrafish ("worms fidget too"), and gives the 2 1/4 hours citing other studies. Levine et al. (2005) report lean participants "upright for 152 min longer per day". Source: Levine JA. The Fidget Factor and the obesity paradox. How small movements have big impact. Front Sports Act Living. 2023;5:1122938.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Three Shorts said how much people move is brain wiring that cannot be changed; the papers they cite argue it can be encouraged

ShortThe Calories Your Knee Is Burning Right Now ShortOvereat, and Movement Does Most of the Extra Burning ShortThe Movement Gap Behind Who Gains Weight Easier

What it said

The Shorts said fidgeting "depends entirely on brain wiring you can't change", that "the fact that you can't simply choose to increase it is the part most advice leaves out", answered "Mostly no" to whether people can fidget more, and said movement was biologically wired, "not something you decided".

What it says now

They say "none of these studies tested whether people can raise their own NEAT", that "a genetic share is not a ceiling", that the 1999 authors "suggest efforts to enhance it, perhaps through behavioral cues, may help prevent obesity", and that the 2005 authors "called for getting people out of their chairs".

Why, and the source

Levine et al. (1999) end: "efforts to enhance NEAT activation, perhaps through behavioral cues, may be a fruitful approach to the prevention of obesity." Levine et al. (2005) found posture allocation "appears" biologically determined in a pilot study, argued that if it were fixed "obesity would have been as common 50 years ago as it is today", and called for approaches "that succeed in getting people out of their chairs". Levine (2023) calls behavioural change strategies "critical" to help people move. Source: Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, Jensen MD, Clark MM. Interindividual Variation in Posture Allocation: Possible Role in Human Obesity. Science. 2005;307:584-586.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Four Shorts told the change in movement during overfeeding as how much people move or burn every day

ShortThe Calories Your Knee Is Burning Right Now ShortOvereat, and Movement Does Most of the Extra Burning ShortThe Movement Gap Behind Who Gains Weight Easier Short10,000 Steps Burn About 400 Calories. Here’s What That Number Leaves Out.

What it said

The Shorts were titled "Your Fidgeting Burns 336 Calories a Day", "Your Daily Burn Pie Chart Is Upside Down", "The 790-Calorie Swing Hiding in Your Daily Routine" and "One Person's Fidgeting Burns 692", and showed "790 cal/day" as "The gap in unconscious daily movement between the person who moved the least and the person who moved the most" and as the body's "unconscious adjustment range".

What it says now

They are titled "Overeat, and Movement Does Most of the Extra Burning", "The Movement Gap Behind Who Gains Weight Easier" and "10,000 Steps Burn About 400 Calories. Here's What That Number Leaves Out.", and say how much movement outside exercise rose when people overate: "by 336 calories a day on average", "by hundreds of calories a day", "up to 692".

Why, and the source

Levine et al. (1999) report how non-exercise activity changed when 16 adults ate 1,000 kcal a day over their needs for eight weeks: the average increase was 336 kcal/day, two-thirds of the increase in energy expenditure, the range of change was large, and the largest increase was 692 kcal/day. It is a response to overfeeding, not how much people move or what fidgeting burns on a normal day. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Four Shorts told the overfeeding study's non-exercise activity as unconscious, unchosen fidgeting

ShortThe Calories Your Knee Is Burning Right Now ShortOvereat, and Movement Does Most of the Extra Burning ShortThe Movement Gap Behind Who Gains Weight Easier Short10,000 Steps Burn About 400 Calories. Here’s What That Number Leaves Out.

What it said

The Shorts said the extra calories went to "unconscious micro-movements", "movement no one chose to make", "motion they never chose to make", "you didn't choose any of it" and "involuntary fidgeting and posture shifting", and that "Someone sitting in a meeting burned more than that without standing up".

What it says now

They say "everyday movement outside exercise", "walking around, standing, fidgeting", and that the paper "equates it with about 15 extra minutes of strolling every waking hour, not with sitting still".

Why, and the source

Levine et al. (1999) define non-exercise activity thermogenesis as the energy of "physical activities other than volitional exercise, such as the activities of daily living, fidgeting, spontaneous muscle contraction, and maintaining posture", calculated it from total energy expenditure minus resting and digestion costs, and equate the largest rise (692 kcal/day) with an increase in "strolling-equivalent activity" of about 15 min/hour during waking hours. The paper does not say the movement was unconscious or unchosen. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Three Shorts misread what the overfeeding study found about resting metabolism: 8% is its share of the extra calories, and only its changes were tested

ShortThe Calories Your Knee Is Burning Right Now ShortOvereat, and Movement Does Most of the Extra Burning ShortThe Movement Gap Behind Who Gains Weight Easier

What it said

One Short said resting metabolism "explained eight percent of who gained the most fat" and, in its search description, "metabolism explains 8% of fat gain"; another was titled for search "Metabolism Is 8% of Weight Gain", said it "accounted for eight percent of the difference", and said what separates people is "Not the speed of the engine at rest"; the third said "Interindividual variation in BMR did not predict fat gain".

What it says now

They say resting metabolism "took up only eight percent of the extra food" or "of the extra calories", that "its changes did not track who gained the most fat", and that "Interindividual changes in BMR did not account for the variability in fat gain".

Why, and the source

Levine et al. (1999): resting metabolism rose 5% with overfeeding, "accounting for 8% of the excess ingested energy. Thus, the interindividual changes in BMR did not account for the variability in fat gain." The 8% is a share of the extra calories, not of who gained fat, and the study tested how resting metabolism changed, not whether a faster resting metabolism to begin with protects against fat gain. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

A claim overstated the overfeeding study's precision and misstated details of its methods and results

ClaimWhy can your friend eat more than you and stay lean — and what is actually going on?

What it said

The claim called it "the most precise overfeeding study ever conducted" (its audio: "The most controlled overfeeding study ever done checked all three"), said "Food processing? Barely changed", that "intake was identical and controlled", that the spread was "not a measurement problem", gave the energy accounting as "via DLW + room calorimetry", said "BMR was measured at one time point post-overfeeding", labelled the fat stored "mean energy storage 389", called the 0.36 kg value a "high outlier" and 4.23 kg a "low outlier", and quoted the paper as "(r = 0.77, P < 0.001)".

What it says now

It says "a tightly controlled overfeeding study", "Food processing? It rose with the extra food, but did not track who gained fat", "intake was controlled", "its authors note that measurement errors would, if anything, have weakened the link they found", "via doubly labeled water and indirect calorimetry", "BMR was measured before and after overfeeding, on two mornings each time", "mean fat storage 389", "one low value (0.36 kg) and one high value (4.23 kg)", and quotes the paper's own words.

Why, and the source

Levine et al. (1999) do not compare their precision with other studies, and tested no genes; the thermic effect of food rose 14% but did not correlate with fat gain; each volunteer ate 1,000 kcal a day over their own maintenance needs, so intakes differed; the authors note that measurement errors "would be expected to weaken the association between the change in NEAT and the change in body fat"; expenditure was measured with doubly labeled water and indirect calorimetry; resting metabolism was measured on two mornings before and after overfeeding; 389 kcal/day was the fat gained, of 432 stored in all; fat gain ranged from 0.36 kg to 4.23 kg. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

A claim told a 2005 posture study as a separate team confirming the overfeeding finding, and a 2023 hypothesis as having traced it to one brain molecule

ClaimWhy can your friend eat more than you and stay lean — and what is actually going on?

What it said

The claim said "A separate team confirmed it from a completely different angle", gave "a 352-calorie daily gap from sitting versus standing time alone", and said "Recent brain research has traced this to a molecule called orexin A. It drives fidgeting across species".

What it says now

It says "The same lab looked from another angle in 2005", that had the obese volunteers spent their days the same way, "they would have burned about 352 more calories a day", that "posture is not how NEAT rose with overfeeding", and that a 2023 paper "proposes that the urge to move is regulated by the brain, with orexin A as one of several messengers involved".

Why, and the source

Levine et al. (2005), from the same Mayo Clinic group, measured posture in 10 lean and 10 mildly obese adults; 352 kcal/day is what the obese "would have expended" with the lean posture allocation, and "posture allocation is not the mechanism by which NEAT is modulated with short-term overfeeding". Levine (2023) states a hypothesis, calls orexin "one of several mediators", and cites rat, mouse and zebrafish studies for it. Source: Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, Jensen MD, Clark MM. Interindividual Variation in Posture Allocation: Possible Role in Human Obesity. Science. 2005;307:584-586.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

A claim and a guide said how much people move is wired in, not something they can change; the papers they cite argue it can be encouraged

What it said

The claim said "The evidence examined in this synthesis points toward biology, not willpower", "The body defended its stillness", that the gap is "a nervous system running at a different volume" and "It's wiring", that trying to be more disciplined "fights biology", and that the posture study "points to changing the shape of your day, not your drive"; the guide doubted anyone can "fidget more than your genetics already allow".

What it says now

They say the evidence "points to both biology and setting", that the 2005 authors "did not read it as destiny", that "the 1999 paper suggests that efforts to enhance NEAT, perhaps through behavioral cues, may help prevent obesity", and ask "whether you can train yourself to move more outside exercise".

Why, and the source

Levine et al. (1999) end: "efforts to enhance NEAT activation, perhaps through behavioral cues, may be a fruitful approach to the prevention of obesity." Levine et al. (2005), the posture study behind the "wired" line, call their finding a pilot result, argue that a biologically determined posture allocation does not destine people to obesity (if it did, "obesity would have been as common 50 years ago as it is today"), and call for approaches "that succeed in getting people out of their chairs". Levine (2023) writes that "environmental design overwhelms the biology" and that behavioural change strategies "are critical". Source: Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, Jensen MD, Clark MM. Interindividual Variation in Posture Allocation: Possible Role in Human Obesity. Science. 2005;307:584-586.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

A claim and a guide told the range of a response to overfeeding as a daily difference in how much people move

ClaimWhy can your friend eat more than you and stay lean — and what is actually going on? GuideCalories and Metabolism: Your Engine Is Fine, Your Gauge Is Broken

What it said

The claim said "the daily difference in unconscious movement was 790 calories", that NEAT "can vary by nearly 800 calories per day between individuals", and that "individual variation around that average is enormous (driven by NEAT)"; the guide said it was "varying by up to" 800 calories per day "between people".

What it says now

They say how much movement outside exercise rose "differed by hundreds of calories a day", "up to 692 in one person", and that "people's response to a surplus varies widely".

Why, and the source

Levine et al. (1999) report how non-exercise activity changed when 16 adults ate 1,000 kcal a day over their needs for eight weeks: "the range of change in NEAT in our volunteers was large", the maximum increase being 692 kcal/day. It is a response to overfeeding, not a measure of how much people move on their usual diet. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

A claim and a guide told the overfeeding study's non-exercise activity as unconscious movement nobody chose

ClaimWhy can your friend eat more than you and stay lean — and what is actually going on? GuideCalories and Metabolism: Your Engine Is Fine, Your Gauge Is Broken

What it said

The claim said fat gain was predicted by "something the sixteen participants never chose to do", "the fidgeting, posture shifting, pacing, and micro-movements that happen below awareness", and the guide said "The real difference is unconscious movement" and "they can't sit still".

What it says now

They say "movement outside exercise", "walking around, standing, fidgeting, maintaining posture", and "everyday movement outside exercise".

Why, and the source

Levine et al. (1999) define non-exercise activity thermogenesis as the energy of "physical activities other than volitional exercise, such as the activities of daily living, fidgeting, spontaneous muscle contraction, and maintaining posture", and calculated it from total energy expenditure minus resting and digestion costs. The paper does not say the movement was unconscious or unchosen. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

A claim and a guide said resting metabolism explained 8% of who gained fat; 8% is its share of the extra calories

ClaimWhy can your friend eat more than you and stay lean — and what is actually going on? GuideCalories and Metabolism: Your Engine Is Fine, Your Gauge Is Broken

What it said

The claim said "Resting metabolic rate predicted only 8% of who gained fat", that it "explained only 8% of the energy stored" and "accounting for only 8% of excess ingested energy stored as body fat", and its highlight figure was 8%. It opened "Your friend doesn't have a faster engine" and said "It's not that their engine runs hotter at rest". The guide said resting burn "explained only 8% of who gained fat in controlled overfeeding".

What it says now

They say resting metabolic rate "took up only 8% of the extra calories" and that its changes "did not account for who gained fat"; the claim says "Your friend may not have a faster engine" and "In that study, it was not how much their resting burn rose", and its highlight figure now shows the "10×" spread in fat gain.

Why, and the source

Levine et al. (1999): resting metabolism rose 5% with overfeeding, "accounting for 8% of the excess ingested energy. Thus, the interindividual changes in BMR did not account for the variability in fat gain." The 8% is a share of the extra 1,000 calories a day, not of who gained fat or of the fat stored, and the study tested how resting metabolism changed, not whether a faster resting metabolism to begin with protects against fat gain. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

The overfeeding study page told its subject as fidgeting and involuntary movement; the paper measured all activity outside exercise

StudySame Surplus, 10× More Fat: The NEAT Overfeeding Study

What it said

The page was titled "The Fidgeting Study" and said the calories went to "Pure involuntary movement", "a type of movement the volunteers did not know they were making", "Something nobody was measuring on purpose", and that their bodies were "doing it on autopilot".

What it says now

It is titled "The NEAT Overfeeding Study" and says "everyday movement outside exercise", "the activities of daily living, fidgeting and maintaining posture", that it "was what the study was designed to measure", and that the paper "does not say whether the rise in everyday movement was deliberate".

Why, and the source

Levine et al. (1999) define non-exercise activity thermogenesis as the energy of "physical activities other than volitional exercise, such as the activities of daily living, fidgeting, spontaneous muscle contraction, and maintaining posture". They calculated it from total energy expenditure (doubly labeled water) minus resting and digestion costs, and designed the study to test it. The paper does not say the movement was involuntary or unconscious. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

The overfeeding study page said resting metabolism had zero predictive power; the paper reports only that its changes did not account for who gained fat

StudySame Surplus, 10× More Fat: The NEAT Overfeeding Study

What it said

The page said resting metabolism "had zero predictive power", "zero correlation with fat gain", "scored zero" and "predicted nothing", and that "The dots scatter randomly on the graph".

What it says now

It says the changes in resting metabolism "did not account for who gained more fat", and that "The paper gives no correlation for it".

Why, and the source

Levine et al. (1999): resting metabolism rose 5%, "accounting for 8% of the excess ingested energy. Thus, the interindividual changes in BMR did not account for the variability in fat gain." The paper gives correlation coefficients for non-exercise activity and for total expenditure, none for resting metabolism, and our copy does not show the figure. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

The overfeeding study page misstated its sex ratio, its recruitment and its precision

StudySame Surplus, 10× More Fat: The NEAT Overfeeding Study

What it said

The page said "The four-to-one male-to-female ratio", that the volunteers were "recruited at the Mayo Clinic", that the setting was one "where every other variable was locked down", that its energy accounting "is among the most precise ever published", and that the finding "has been directionally supported by later work".

What it says now

It says "The three-to-one male-to-female ratio", "studied at the Mayo Clinic", "a supervised setting where diet and exercise were controlled", that the 97 percent the study accounted for is what "the authors read as near-complete compliance", and that small measurement errors "would, if anything, weaken the association".

Why, and the source

Levine et al. (1999) studied 12 men and 4 women at the Mayo Clinic; the paper does not say where they were recruited, does not compare its precision with other studies, and notes that cumulative measurement errors "would be expected to weaken the association". The page cited no later work. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

The overfeeding study page described the 1999 study as a metabolic ward study; the volunteers were outpatients

StudySame Surplus, 10× More Fat: The NEAT Overfeeding Study

What it said

The page said the study ran in "a controlled metabolic ward" and "a controlled eight-week metabolic ward", that "Every meal was supervised", and that "Metabolic ward research requires this intensity".

What it says now

It says the volunteers were "studied as outpatients through 8 weeks of supervised overfeeding" and that "Almost every meal was eaten under supervision".

Why, and the source

Levine et al. (1999): "Volunteers were studied as outpatients for 10 weeks." Meals were made in the Mayo Clinic research kitchen and "almost all meals were consumed under supervision". Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

The overfeeding study page said you cannot decide to move more; its own papers suggest raising this movement may help

StudySame Surplus, 10× More Fat: The NEAT Overfeeding Study

What it said

The page said "the amount you fidget is not something you can simply decide to increase", that tips to move more "are not what the science supports", that "You cannot copy your friend's fidget", and that the study concluded "NEAT is biologically determined and difficult to voluntarily increase".

What it says now

It says the 2005 authors "did not read it as destiny", that "The 1999 study did not test them", that the 1999 paper's "last sentence suggests that efforts to enhance NEAT, perhaps through behavioral cues, may be a fruitful approach to preventing obesity", and that the 2023 paper "calls behaviour-change strategies critical".

Why, and the source

Levine et al. (1999) end: "efforts to enhance NEAT activation, perhaps through behavioral cues, may be a fruitful approach to the prevention of obesity." Levine et al. (2005) found posture allocation "appears" biologically determined in a pilot study, then argued that this is not destiny, since if it were "obesity would have been as common 50 years ago as it is today", and called for approaches "that succeed in getting people out of their chairs". Levine (2023) calls behavioural change strategies "critical" to help people move. Source: Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, Jensen MD, Clark MM. Interindividual Variation in Posture Allocation: Possible Role in Human Obesity. Science. 2005;307:584-586.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

The overfeeding study page listed grants and a professorship the paper does not name, and a conflict-of-interest statement it does not print

StudySame Surplus, 10× More Fat: The NEAT Overfeeding Study

What it said

The page said the study was "Funded by the U.S. Public Health Service (grants DK45343, DK50456, DK56650, RR00585) and the Henry L. Taylor Professorship in Exercise Science and Sports Medicine", and that "The researchers had no financial interest in any supplement, device, or metabolism-boosting product".

What it says now

It says "Supported by NIH grants DK45343, DK50456 and M01 RR00585 and the Mayo Foundation", and that "the paper names no commercial sponsor and prints no conflict-of-interest statement".

Why, and the source

Levine et al. (1999): "Supported by NIH grants DK45343, DK50456, and M01 RR00585 and the Mayo Foundation." Grant DK56650 is cited by the group's 2005 paper; the paper prints no statement on the authors' financial interests. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

The overfeeding study page told a correlation of 0.77 as a score of 77 out of 100 that "predicted nearly everything"

StudySame Surplus, 10× More Fat: The NEAT Overfeeding Study

What it said

The page said "Fidgeting scored 77 out of a possible 100", that it "predicted nearly everything about who gained fat", and its chart drew two rings, "0 out of 100" for resting metabolism and "77 out of 100" for fidgeting, the second filled to 77%.

What it says now

It says the change in NEAT "correlated with resistance to fat gain with a coefficient of 0.77", that "That is a correlation coefficient, not a share or a score out of 100", and the chart shows "0.77" as a "correlation coefficient" and "no coefficient reported" for resting metabolism.

Why, and the source

Levine et al. (1999): changes in non-exercise activity thermogenesis "directly predicted resistance to fat gain with overfeeding (correlation coefficient = 0.77, probability < 0.001)". A correlation coefficient is not a percentage or a score out of 100, and the paper reports none for resting metabolism. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

The overfeeding study page told a 2005 posture study as confirming it and a 2023 hypothesis paper as proof of a brain mechanism

StudySame Surplus, 10× More Fat: The NEAT Overfeeding Study

What it said

The page said the 2005 study "confirms" the 1999 finding with the "Same directional finding", that lean people were "burning roughly 352 extra calories from posture alone", that the 2023 paper "answered that question" and "proved" fidgeting is "driven by brain chemistry", that "orexin A drives the impulse to move", and quoted Levine as calling it "a neurologically programmed, rhythmic impulse to move your body".

What it says now

It says the 2005 study "found posture allocation was not how NEAT changed with short-term overfeeding", that the obese "would have burned about 352 more calories a day" had they had the lean posture allocation, that the 2023 paper is "setting out a hypothesis" with orexin A "as one of several brain messengers", and quotes "the innate neurological pulse that propels humans and other species to move".

Why, and the source

Levine et al. (2005) studied posture in 10 lean and 10 mildly obese adults; 352 kcal/day is what the obese "would have expended" with the lean posture allocation, and the paper states that "posture allocation is not the mechanism by which NEAT is modulated with short-term overfeeding". Levine (2023) opens "The hypothesis is that the Fidget Factor is the innate neurological pulse that propels humans and other species to move", calls orexin "one of several mediators", and gives rat, mouse and zebrafish evidence for it; the quote the page used is not in the paper. Source: Levine JA. The Fidget Factor and the obesity paradox. How small movements have big impact. Front Sports Act Living. 2023;5:1122938.

Found by

the Q387 Rule 30 sweep of Levine 1999, 2005 and 2023 (lead L5): every page citing the three papers read in full against the saved text of each paper

Pages described the 1999 overfeeding study's non-exercise activity as unconscious or involuntary movement; the study defines it as all activity outside exercise

ShortYour Weekend Did Less Damage Than the Scale Claims ShortThree Different Fates for Your Extra Calories ShortYour Post-Dinner Walk Works. Not Because of the Calories. ClaimWhen Does Your Metabolism Actually Start Slowing Down? ClaimIs the Obesity Crisis Caused by Sitting Too Much — or Eating Too Much? ClaimProtein’s Thermic Edge Over Carbs and Fat — The Fine Print StudyMifflin-St Jeor: The Equation That Replaced 1919 Math

What it said

Pages said the calories went to "unconscious movement", "involuntary movement" or "unconscious daily movement", that it was "Unconscious, unplanned, completely untracked", and that "every fidget and step and shift your body runs in the background"; an audio chapter was titled "Movement You Didn't Choose".

What it says now

They say "everyday movement outside exercise", "extra movement outside exercise" or "daily movement outside exercise", with examples such as walking, standing and fidgeting.

Why, and the source

Levine et al. (1999) define non-exercise activity thermogenesis as the energy of "physical activities other than volitional exercise, such as the activities of daily living, fidgeting, spontaneous muscle contraction, and maintaining posture". They computed it from total energy expenditure (doubly labeled water) minus resting and digestion costs, and equate its largest rise with about 15 minutes of strolling an hour. The paper does not say the movement was unconscious or involuntary, and it was measured, not untracked. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

Two Shorts said all the calories the overfed volunteers burned off went to movement; about two-thirds did

ShortYour Weekend Did Less Damage Than the Scale Claims ShortThree Different Fates for Your Extra Calories

What it said

The Shorts said "531 were burned off through unconscious movement", "531 kcal/day was dissipated through increased NEAT" and that "more than half of a 1,000-calorie daily surplus was burned off through unconscious movement".

What it says now

They say "531 were burned off by a rise in the calories the body spends", "about two-thirds of it through extra everyday movement outside exercise", and "531 kcal/day was dissipated through increased energy expenditure, two-thirds of the rise from NEAT".

Why, and the source

Levine et al. (1999): of the extra 1,000 kcal a day, 531 "was dissipated through increased energy expenditure": resting expenditure rose by 79 kcal/day, the thermic effect of food by 137 and non-exercise activity by 328, which "accounted for two-thirds of the increase in daily energy expenditure". Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A Short said the overfed volunteers stored 432 of every 1,000 extra calories as fat; 389 went to fat

ShortYour Weekend Did Less Damage Than the Scale Claims

What it said

The Short said the body stored "432 out of every thousand surplus calories as fat", "432 kcal/day was stored as fat", and its chart labelled the 432 "stored as fat".

What it says now

It says the body stored 432 out of every thousand, "most of it as fat", "432 kcal/day stored (389 as fat, 43 as fat-free mass)", and the chart says "stored".

Why, and the source

Levine et al. (1999): 432 kcal/day of the excess "was stored"; their Table 2 gives fat mass gain 389 kcal/day and fat-free mass gain 43 kcal/day. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A Short said the 1999 overfeeding study measured non-exercise activity with accelerometers; the accelerometers only checked exercise

ShortYour Weekend Did Less Damage Than the Scale Claims

What it said

The Short called the study a "controlled overfeeding trial with direct measurement of NEAT via accelerometry" and its chart's data "Indirect calorimetry with physical activity monitoring".

What it says now

It says "energy expenditure measured with doubly labeled water and indirect calorimetry, NEAT derived from them".

Why, and the source

Levine et al. (1999) measured total energy expenditure with doubly labeled water and resting and digestion costs with indirect calorimetry, and derived non-exercise activity as the difference. The volunteers wore accelerometers "to measure the extent of free-living exercise-related activity", to check that exercise did not change. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A Short gave the 1999 overfeeding study's journal as the New England Journal of Medicine; it is Science

ShortYour Weekend Did Less Damage Than the Scale Claims

What it said

The Short's summary box cited the study in the "New England Journal of Medicine".

What it says now

It cites the journal as Science.

Why, and the source

Levine, Eberhardt and Jensen published the overfeeding study in Science (1999;283:212-214). Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

Two Shorts applied a study of eight weeks of overfeeding to a weekend, or to the hours after one meal

ShortYour Weekend Did Less Damage Than the Scale Claims ShortThree Different Fates for Your Extra Calories

What it said

One Short said "a Saturday dinner out and a lazy Sunday left almost nothing on the storage side", that the fat stored from a weekend "is so small you would never see it on any scale", and, in its social description, "Your body burned more surplus calories than it stored". The other said that after a meal the body was "adjusting how much you move tomorrow".

What it says now

The first says "The study did not measure a weekend, only eight weeks of overfeeding", that a weekend's extra "does not erase a week's deficit", and that "people on average burned off more of the surplus than they stored". The second says the body changes how much you move "when a surplus lasts for weeks".

Why, and the source

Levine et al. (1999) measured energy storage and expenditure before and after eight weeks of overfeeding by 1,000 kcal a day; they did not measure a weekend, the day after a meal or the first days of overeating. The 432 kcal stored and 531 burned off are averages: fat gain ranged from 58 to 687 kcal a day. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A Short said the women in a 16-person overfeeding study had a real, lower movement response; the authors called it preliminary

ShortThe 166-Calorie Penalty That Doesn’t Exist

What it said

The Short said "Women in one overfeeding experiment did show a lower movement response to extra calories. The gap in that sample was real", and "Different starting position."

What it says now

It says "the four lowest values for the change in movement outside exercise belonged to the four women", that "The authors called that difference preliminary, needing a larger study", and that the link between that change and fat gain "was the same in men and women".

Why, and the source

Levine et al. (1999): "the four lowest values for change in NEAT corresponded to the four female volunteers, although the relation between change in NEAT and fat gain was the same in males and females. A larger study will be needed to determine the significance of the preliminary gender differences." The finding is about the change with overfeeding, not a starting level. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A Short described the 1999 overfeeding study's volunteers as non-diabetic and said it ruled out exercise and genetics

ShortYour Post-Dinner Walk Works. Not Because of the Calories.

What it said

The Short called the volunteers "16 non-diabetic volunteers", said the strongest predictor "wasn't gym time, wasn't resting metabolism, wasn't genetics", and in its audio that fat gain "came down to one variable" of movement "Unconscious, unplanned, completely untracked".

What it says now

It says "16 nonobese volunteers", that "Exercise was held steady, and changes in resting metabolism did not account for who gained more fat", and that what predicted who resisted fat gain was how much their everyday movement outside exercise increased.

Why, and the source

Levine et al. (1999) studied 16 nonobese adults, held their exercise at constant, low levels by design, and did not test genetics; changes in resting metabolism did not account for the variability in fat gain. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

Two pages said movement separates people who store a surplus from people who do not; every volunteer in the 1999 overfeeding study gained fat

ShortYour Post-Dinner Walk Works. Not Because of the Calories. ClaimIs the Obesity Crisis Caused by Sitting Too Much — or Eating Too Much?

What it said

A Short said movement "quietly separates who stores fat from who doesn't", and a claim linked to "why some bodies burn off surplus and others store it".

What it says now

They say movement "helps separate who stores more fat from who stores less" and "why some bodies burn off more of a surplus and others store more of it".

Why, and the source

Levine et al. (1999): "Fat gain varied 10-fold among our volunteers, ranging from a gain of only 0.36 kg to a gain of 4.23 kg"; every volunteer stored part of the surplus, and on average 432 kcal/day was stored and 531 kcal/day dissipated. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A study page listed the 1999 overfeeding study as support for findings it does not test

StudyObesity Doubled. Physical Activity Didn’t Drop.

What it said

The page's machine-readable claim notes listed Levine 1999 as support for activity levels rising over two decades ("Levine 1999 NEAT data shows activity compensation mechanisms") and for leisure activity making up for less activity at work ("multiple compensatory activity channels"), and said "some people burn up to 700 kcal/day more through non-exercise movement".

What it says now

They say Levine 1999, "an 8-week overfeeding study of 16 adults, does not test activity trends over time" and is "not a study of occupational or leisure activity", and that in it "how much non-exercise activity rose varied widely between people, the largest rise being 692 kcal/day".

Why, and the source

Levine et al. (1999) measured how energy expenditure changed in 16 adults overfed for eight weeks; the largest rise in non-exercise activity was 692 kcal/day. The study did not track activity over years or compare work and leisure activity. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

Pages told the 1999 overfeeding study's change in movement as how much people move, or burn through movement, day to day

ClaimWhen Does Your Metabolism Actually Start Slowing Down? ClaimIs the Obesity Crisis Caused by Sitting Too Much — or Eating Too Much? ClaimProtein’s Thermic Edge Over Carbs and Fat — The Fine Print ShortYour Post-Dinner Walk Works. Not Because of the Calories.

What it said

Three claims said "unconscious daily movement that ranges from 98 fewer to 692 more calories per day", that "individual variation in unconscious movement" "ranges from burning 98 fewer to" 692 more calories per day, and that it "varies by nearly 800 calories per day between people eating the same diet". A Short said walking "is the strongest predictor of fat gain resistance, averaging 336 extra calories burned per day", and its chart labelled the 336 "burned through daily movement alone".

What it says now

The claims say how much everyday movement outside exercise rose "when people overate", "by up to 692 calories a day", that this rise "differed between them by hundreds of calories a day", and that "the largest rise was 692". The Short says the 336 calories are the average rise "when people were overfed", and its chart says "extra burned through daily movement alone".

Why, and the source

Levine et al. (1999) report how non-exercise activity changed when 16 adults ate 1,000 kcal a day over their needs for eight weeks: "The average increase in NEAT (336 kcal/day) accounted for two-thirds of the increase in daily energy expenditure", and the range of that change was large, the largest rise being 692 kcal/day. It is a response to overfeeding, not a measure of how much people move, or burn through movement, on their usual diet. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

A study page told the 1999 overfeeding study as fidgeting that predicted "nearly everything" about who gained fat

StudyMifflin-St Jeor: The Equation That Replaced 1919 Math

What it said

The page said "involuntary movement that varies tenfold between individuals" and that "their fidgeting, not their resting metabolic rate, predicted nearly everything about who gained fat".

What it says now

It says fat gain varied tenfold, and that "the rise in that activity, not in their resting metabolic rate, predicted who resisted it".

Why, and the source

Levine et al. (1999): fat gain varied 10-fold; changes in non-exercise activity, which includes the activities of daily living, fidgeting and posture, predicted resistance to fat gain with a correlation of 0.77, and changes in resting metabolism did not account for the variability. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q387 Rule 30 sweep of Levine 1999: every page citing the overfeeding study read in full against the saved text of the paper

The training guide said heavy and light weights gave no difference in "the strength you actually use"; the 2017 analysis tested isometric strength and found a small, non-significant lean toward heavy loads

GuideThe complete evidence guide to exercise and body composition

What it said

The guide said that when researchers measured "the force people use to push, pull, or carry things in daily life, there was no difference between groups", and that "for the strength you actually use, load does not matter".

What it says now

It says that on a test of "isometric strength", the difference was "not significant, and small even where it leaned toward heavy loads".

Why, and the source

The 2017 analysis measured isometric strength on a neutral instrument, not everyday tasks. The difference was not significant (p = 0.43), but without one influential study the authors saw "a likely benefit in favor of heavier loading, albeit of a relatively small magnitude". Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing or restating the 2017 analysis read in full against the saved journal page

A claim's highlight figure on light and heavy weights was credited to the wrong paper

ClaimThe Exercise Advice Women Over 40 Keep Getting Is Solving the Wrong Problem

What it said

The highlight figure "7.0% vs 8.3%" was credited to "Refalo et al. 2025 · 21 controlled experiments".

What it says now

It is credited to "Schoenfeld et al. 2017 · 10 studies with direct measures of muscle size".

Why, and the source

The 7.0% and 8.3% are the mean gains in muscle size with light and heavy loads in the 2017 load analysis by Schoenfeld and colleagues, from its 10 studies with direct measures of muscle size. Refalo et al. 2025, cited elsewhere on the page, is a different meta-analysis. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing or restating the 2017 analysis read in full against the saved journal page

Pages gave the 2017 load analysis a participant total and dumbbell weights that are not in it

ClaimThe Exercise Advice Women Over 40 Keep Getting Is Solving the Wrong Problem StudyCardio vs. Weights: The 1 kg Gap Nobody Mentions StudyWomen Build Muscle at the Same Rate. So Why the Fear?

What it said

Pages said the analysis covered "684 people", and that "a 2 kg dumbbell produces the same muscle growth as a 20 kg dumbbell".

What it says now

They give its 21 studies without a participant total, and its light loads as "60% of one-rep max or less".

Why, and the source

The paper's text gives no participant total for its 21 studies. It defined light loads as 60% of one-rep max or less and heavy loads as more than 60%; it did not test particular dumbbell weights. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing or restating the 2017 analysis read in full against the saved journal page

Pages credited the 2017 load analysis with findings it does not report: diet, equipment, age, every measurement method and effort

ClaimThe Exercise Advice Women Over 40 Keep Getting Is Solving the Wrong Problem ClaimWill Lifting Weights Make You Bulky? 29 Studies Measured the Difference StudyBest Exercise to Lose Fat Not Muscle — The Scale Gets It Backwards StudyWomen Build Muscle at the Same Rate. So Why the Fear? GuideThe complete evidence guide to exercise and body composition

What it said

Pages said the analysis studied "people eating enough to recover", that "home workouts with bands and bodyweight moves built the same muscle as gym workouts with barbells", that "load doesn't matter at any age tested", that "the finding holds across every measurement method tested", that "what determines whether your muscles grow is effort", and that "The weight on the bar is irrelevant for muscle growth. What matters is effort".

What it says now

They say the analysis "did not record what people ate", "did not test age", and compared "heavy and light loads, not settings or equipment".

Why, and the source

The analysis compared loads at or below 60% of one-rep max with heavier loads, with load as its moderator. It did not record diet, compare equipment or settings, test age, or compare levels of effort: every set went to failure. Its growth result comes from direct measures of muscle size; lean mass and fibre size had too few studies to analyse. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing or restating the 2017 analysis read in full against the saved journal page

Three claims said the light-weight finding holds when the last reps feel genuinely hard or the effort is high enough; every set in the 2017 analysis went to failure

ClaimThe Exercise Advice Women Over 40 Keep Getting Is Solving the Wrong Problem ClaimWill Lifting Weights Make You Bulky? 29 Studies Measured the Difference ClaimDoes Cardio Kill Your Gains? What 43 Studies Found

What it said

The claims said the result holds when sets are "taken close to failure", "close to real effort" or "genuinely hard", "as long as the effort was high enough", that "the tested protocols used loads where the last 2-3 reps of each set felt genuinely hard", and that the only requirement the evidence supports is "genuine muscular difficulty in the last two to three reps".

What it says now

They say "the tested protocols took every set to failure", that light weights built about as much muscle "when every set was taken to failure", and that "the authors would not assume the same for sets that stop short".

Why, and the source

Every study in the analysis took every set to momentary muscular failure, and the authors write that "comparable results cannot reasonably be assumed for submaximal, nonfailure training". Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing or restating the 2017 analysis read in full against the saved journal page

Claims, study pages and the training guide said heavy and light weights build identical muscle; the 2017 analysis found similar growth in the 10 studies that measured muscle size directly

ClaimThe Exercise Advice Women Over 40 Keep Getting Is Solving the Wrong Problem ClaimWill Lifting Weights Make You Bulky? 29 Studies Measured the Difference ClaimDoes Cardio Kill Your Gains? What 43 Studies Found StudyCardio vs. Weights: The 1 kg Gap Nobody Mentions StudyBest Exercise to Lose Fat Not Muscle — The Scale Gets It Backwards StudyWomen Build Muscle at the Same Rate. So Why the Fear? GuideThe complete evidence guide to exercise and body composition

What it said

Pages said heavy and light weights give "identical muscle growth", "statistically identical across 21 experiments", that "the muscle growth difference was zero", that the weight is the part studies say "doesn't matter at all", that "Load didn't matter", that "heavier weights do not build more muscle", and that lighter weights "produced the same muscle growth as heavy weights".

What it says now

They say the growth was similar, 7.0% against 8.3% in the 10 studies that measured muscle size directly, with "a slight edge for heavy that did not reach statistical significance".

Why, and the source

The 2017 meta-analysis pooled direct measures of muscle size from 10 of its 21 studies. It found a trend toward heavier loads in the mean effect size (p = 0.10, "high load being slightly greater than low loads"), no effect of load when each study was weighed as a whole (p = 0.56), and mean gains of 8.3% against 7.0%. The authors call the changes "similar between conditions". Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing or restating the 2017 analysis read in full against the saved journal page

Shorts said heavy loads build more strength in general; the 2017 analysis found that for one-rep-max strength only

ShortThe Muscle Growth Variable That Ended the TUT vs Load Debate ShortEvery Training Plateau Fix Was Solving Half the Problem ShortStrength and Muscle Don’t Move Together on a Cut

What it said

Shorts said heavy loads gave "significantly greater strength" or "meaningfully larger maximal-force gains", and that "Strength favored heavy loads".

What it says now

They say heavy loads gave greater "one-rep-max strength", and that isometric strength "did not differ significantly".

Why, and the source

Gains in one-rep-max strength were significantly greater with heavy loads (35.4% against 28.0%), but isometric strength did not differ significantly between loads. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

Shorts gave the 2017 load analysis participant totals and a confidence interval that are not in it

ShortProgressive Overload Works — Just Not the Way You Think ShortMuscle Soreness Was Never the Receipt ShortSweat Measures Something. Just Not How Hard You Worked. ShortThe Muscle Growth Variable That Ended the TUT vs Load Debate ShortEvery Training Plateau Fix Was Solving Half the Problem

What it said

Shorts gave the analysis "493 participants" or n=1,090, said its evidence "spans thousands of participants across demographics", counted it into totals of "102 total studies and 2,357 participants" and "2,020 to 3,441 participants" for three analyses, and gave its growth result a confidence interval of "−0.16 to 0.22".

What it says now

They give its 21 studies without a participant total, and its study-level confidence interval, "−0.08 to 0.14".

Why, and the source

The paper's text gives no participant total for its 21 studies, and its confidence interval for the study-level growth result is −0.08 to 0.14 (p = 0.56). Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

Shorts said heavy and light weights build identical muscle across 21 studies; the 2017 analysis found similar growth in the 10 studies that measured muscle size directly

Show all 12 pages

ShortThe Muscle Growth Variable That Ended the TUT vs Load Debate ShortFour Weeks of Lifting Rewired the Brain. The Muscles Came Later. ShortProgressive Overload Works — Just Not the Way You Think ShortSweat Measures Something. Just Not How Hard You Worked. ShortYour Gym Results Started Two Weeks Ago ShortEvery Training Plateau Fix Was Solving Half the Problem ShortStrength and Muscle Don’t Move Together on a Cut ShortEvery Women’s Workout Plan Is Built on a 0.69% Difference ShortStrength Training After 60: Your Body Hasn’t Stopped Responding ShortMuscle Soreness Was Never the Receipt ShortWhat the Pump Actually Tells You About Muscle Growth ShortMuscle Confusion Was Built to Beat Plateaus. It May Be Building Them.

What it said

Shorts said heavy and light loads produce "virtually identical muscle growth", with "differences so small that no statistical test could distinguish between them", that "load is irrelevant for hypertrophy", and that light weights "grow muscle at the same rate"; several put the finding on all 21 studies.

What it says now

They say the growth was similar, 8.3% against 7.0%, with "a slight edge for heavy loads that fell short of statistical significance", and that muscle size was measured directly in 10 of the 21 studies.

Why, and the source

The 2017 meta-analysis pooled direct measures of muscle size from 10 of its 21 studies. It found a trend toward heavier loads in the mean effect size (p = 0.10, "high load being slightly greater than low loads"), no effect of load when each study was weighed as a whole (p = 0.56), and mean gains of 8.3% against 7.0%. The authors call the changes "similar between conditions". Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

Shorts said the light-weight finding holds when sets are close to failure, hard enough or volume-matched; every set in the 2017 analysis went to failure

Show all 11 pages

ShortThe Muscle Growth Variable That Ended the TUT vs Load Debate ShortFour Weeks of Lifting Rewired the Brain. The Muscles Came Later. ShortProgressive Overload Works — Just Not the Way You Think ShortSweat Measures Something. Just Not How Hard You Worked. ShortYour Gym Results Started Two Weeks Ago ShortEvery Training Plateau Fix Was Solving Half the Problem ShortMuscle Soreness Was Never the Receipt ShortMuscle Confusion Was Built to Beat Plateaus. It May Be Building Them. ShortMorning or Evening Workouts: What 22 Trials Actually Found ShortStrength Training After 60: Your Body Hasn’t Stopped Responding ShortEvery Women’s Workout Plan Is Built on a 0.69% Difference

What it said

Shorts said the load finding holds "when the sets are taken close to failure", "when the effort is matched", "when volume is equated" or "as long as the set is genuinely hard".

What it says now

They say "the load finding comes from sets pushed all the way to failure", or that every set was "taken to failure".

Why, and the source

Every study in the analysis took every set to momentary muscular failure, and the authors write that "comparable results cannot reasonably be assumed for submaximal, nonfailure training". The analysis did not equate volume; it notes that light loads need more volume and time than heavy ones. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

Two Shorts described the 2017 load analysis as a single randomized study or as 21 randomized controlled trials

ShortFour Weeks of Lifting Rewired the Brain. The Muscles Came Later. ShortProgressive Overload Works — Just Not the Way You Think

What it said

One Short rated its evidence as a "single study, randomized controlled"; another called the analysis "21 randomized controlled trials" and "21 RCTs".

What it says now

They describe it as a "meta-analysis of 21 studies".

Why, and the source

The paper is a systematic review and meta-analysis of 21 studies, each an experimental trial of low against high loads; its text does not say that every trial was randomized. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

Shorts credited the 2017 load analysis with findings it does not report: a growth timeline, energy balance, motor-unit recruitment, soreness, equipment and training volume

ShortYour Gym Results Started Two Weeks Ago ShortMuscle Soreness Was Never the Receipt ShortStrength and Muscle Don’t Move Together on a Cut ShortWhat the Pump Actually Tells You About Muscle Growth ShortStrength Training After 60: Your Body Hasn’t Stopped Responding ShortSweat Measures Something. Just Not How Hard You Worked. ShortEvery Training Plateau Fix Was Solving Half the Problem

What it said

Shorts said load "does not affect the hypertrophy timeline", that the comparison was made "in energy balance" and showed that "the nervous system adapted to the demand of the load", that both loads work "because both achieve full motor unit recruitment", that the analysis showed "mechanical tension, not muscle damage or soreness, drives growth", and that "machines, resistance bands, and lighter loads all build the same amount of muscle". One listed it as a source of a chart of "Response to weekly training volume".

What it says now

They give what the analysis measured: similar growth with heavy and light loads taken to failure, and greater one-rep-max strength with heavy loads, which the authors put down to "specificity". They say whether light loads recruit every motor unit "is still debated", and that the analysis "did not measure soreness or muscle damage" and "did not test results by age or by type of equipment". The volume chart no longer lists it as a source.

Why, and the source

The analysis compared muscle size and strength after programmes of at least 6 weeks, with load as its moderator. It did not test growth speed, record diet or energy intake, compare equipment or training volumes, or measure soreness or muscle damage, and it calls it "debatable" whether lighter loads recruit the entire motor-unit pool. Its explanation for the strength result is the principle of specificity. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

Three Shorts cited the 2017 load analysis under other titles

ShortThe Muscle Growth Variable That Ended the TUT vs Load Debate ShortEvery Training Plateau Fix Was Solving Half the Problem ShortMorning or Evening Workouts: What 22 Trials Actually Found

What it said

Shorts cited it as "Loading Recommendations for Muscle Strength, Hypertrophy, and Local Endurance: A Re-Examination of the Repetition Continuum", "Low- vs. High-Load Resistance Training: Strength and Hypertrophy" and "Load and Hypertrophy".

What it says now

They cite its title, "Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis".

Why, and the source

That is the title printed in the Journal of Strength and Conditioning Research (2017;31(12):3508-3523). The other titles are not this paper's. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017: every page citing the 2017 analysis read in full against the saved journal page

Two pages misreported a ketogenic-diet trial in trained women, including its DOI, journal, strength and lean-mass results

ClaimHow Many Carbs Per Day to Build Muscle? ShortBuilding Muscle on Keto: The Measurement That Fooled Both Camps

What it said

The claim cited "PLOS ONE" with a DOI of a breathing study and said the keto group lost fat "without any penalty to squat or bench press 1RM" and "preserved every kilogram of strength"; the Short said "Fat-free mass change: 0 kg (keto group)" and that "the difference did not reach statistical significance".

What it says now

They cite J Int Soc Sports Nutr and DOI 10.1186/s12970-020-00348-7 and say "the non-keto group gained more squat (15.6 vs 5.6 kg) and bench press (4.8 vs 1.5 kg) strength", with fat-free mass "−0.7 kg (keto group) vs +0.7 kg (control group)" and "the difference between groups was significant".

Why, and the source

Vargas-Molina et al. (2020), J Int Soc Sports Nutr 17:19: fat-free mass changed by -0.7 kg on keto and +0.7 kg on the non-keto diet, a significant difference between groups (P = 0.03); squat gains were 5.6 vs 15.6 kg (P = 0.003) and bench press 1.5 vs 4.8 kg (P = 0.035); the keto group ate less and the authors conclude it was in an energy deficit. Source: Vargas-Molina S, Petro JL, Romance R, Kreider RB, Schoenfeld BJ, Bonilla DA, Benítez-Porres J. Effects of a ketogenic diet on body composition and strength in trained women. J Int Soc Sports Nutr. 2020;17:19.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

A Short cited a 2026 carbohydrate meta-analysis as 2025 under a composed title

ShortBuilding Muscle on Keto: The Measurement That Fooled Both Camps

What it said

It cited "Henselmans et al. 2025" and the title "Effect of carbohydrate intake on resistance-training-induced hypertrophy".

What it says now

It cites "Henselmans et al. 2026" and the paper's title, "The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis".

Why, and the source

The paper was published on 19 February 2026 in Sports Medicine 56 under that title. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

A claim cited a ketogenic-diet trial in trained men with another paper's DOI and the wrong journal

What it said

It linked DOI 10.1519/JSC.0000000000002986, a rugby sevens paper, and named the journal "J Int Soc Sports Nutr".

What it says now

It cites DOI 10.1519/JSC.0000000000001935 and "J Strength Cond Res, accepted manuscript".

Why, and the source

Wilson et al. appeared in the Journal of Strength and Conditioning Research, published ahead of print in 2017, DOI 10.1519/JSC.0000000000001935. Source: Wilson JM, Lowery RP, Roberts MD, et al. The Effects of Ketogenic Dieting on Body Composition, Strength, Power, and Hormonal Profiles in Resistance Training Males. J Strength Cond Res, published ahead of print 2017 (accepted manuscript).

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

Two pages told a 4.8% lean-mass jump after carbs returned as proven water, physically impossible as muscle, or "0%" muscle

ClaimHow Many Carbs Per Day to Build Muscle? ShortBuilding Muscle on Keto: The Measurement That Fooled Both Camps

What it said

They said "Nobody builds two to three pounds of real muscle in seven days", "That is physically impossible as real muscle growth", "roughly two to three kilograms that was glycogen and water", and a chart showed "real muscle built in those 7 days" as 0%.

What it says now

They say "The meta-analysis authors call that jump likely glycogen refilling", and the chart's 0% row is gone.

Why, and the source

Henselmans et al. (2026) describe the 4.8% rise in fat-free mass during the week of carbohydrate reintroduction in Wilson et al. as "an effect likely attributable to glycogen repletion". No source measured the muscle tissue gained in that week as zero. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

Two pages told a carbohydrate meta-analysis's non-significant result as a zero effect on which every study agreed

ClaimHow Many Carbs Per Day to Build Muscle? ShortBuilding Muscle on Keto: The Measurement That Fooled Both Camps

What it said

They said higher carbs added "zero measurable effect", "with every single study agreeing", that "Every study pointed the same direction" and "A flat zero, with every lab landing on the same result independently".

What it says now

They say the meta-analysis found "no significant effect", that "none of the eleven trials found a significant carb effect on its own", and that "a small benefit of more carbs is not ruled out".

Why, and the source

Henselmans, Vårvik & Izquierdo (2026) found no significant effect (SMD 0.15, p = 0.23), which "favored higher carbohydrate intakes"; they write that "the data do not completely rule out a hypertrophic advantage of higher carbohydrate intakes". No individual study was significant, and in the two studies that imaged the muscle directly the direction reversed. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

Two pages rated the certainty of a carbohydrate meta-analysis high; its authors rate it low

ClaimHow Many Carbs Per Day to Build Muscle? ShortBuilding Muscle on Keto: The Measurement That Fooled Both Camps

What it said

The claim was tiered "High Certainty", its notes for AI citation said "Certainty level: High" and its citation capsule "Certainty: high"; the Short rated its main evidence "High — zero heterogeneity across 11 independent labs".

What it says now

They give the authors' own rating: "the meta-analysis authors rate the certainty of evidence low (GRADE 2/4)", and the claim's certainty tier is now "Low Certainty".

Why, and the source

Henselmans et al. (2026) rate the certainty of evidence low (GRADE 2/4), downgraded for imprecision and a moderate risk of bias. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

A claim called a carbohydrate meta-analysis the largest ever, said it pooled every trial ever done, and counted a pooled trial as an independent source

What it said

It said "The largest analysis ever conducted on this exact question", "Researchers pooled every controlled trial ever done" and "four independent evidence sources".

What it says now

It says "The first meta-analysis on this exact question", "Researchers pooled the 11 controlled trials their search found" and "four evidence sources", one of the trials being "among the eleven".

Why, and the source

Henselmans et al. (2026) say no earlier meta-analysis had specifically examined this question; the paper does not call itself the largest; its eleven trials came from one systematic search; and Wilson et al., which the claim counted as a separate source, is one of the eleven pooled trials. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

A claim quoted a sentence its meta-analysis does not contain, and credited a blunt verdict to the lead author

What it said

Its source quote read "Our results indicate that varying carbohydrate intake does not significantly affect resistance training-induced changes in measures of muscle hypertrophy or body fat when protein intake is adequate", and the page said the lead author "who also runs Bayesian Bodybuilding" "puts it bluntly".

What it says now

The source quote is the paper's own conclusion: "A higher carbohydrate intake may not independently enhance muscle hypertrophy during resistance training, though certainty of evidence is low." The page says "The paper's own conclusion is careful".

Why, and the source

Neither sentence is in Henselmans et al. (2026). Its conclusion is that a higher carbohydrate intake "may not independently enhance muscle hypertrophy", that "certainty of evidence is low", and that low-carbohydrate diets "may make it more difficult for some individuals to stay in energy surplus". Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

Two pages said the carbohydrate trials matched calories; only three of eleven did by the authors' criteria

ClaimHow Many Carbs Per Day to Build Muscle? ShortBuilding Muscle on Keto: The Measurement That Fooled Both Camps

What it said

They said "when protein and total calories were matched", "Match the calories exactly and the result held" and "Carb intake has no hypertrophy effect even when total calories are perfectly matched".

What it says now

They say "when protein was matched", and that the result held in "the three trials counted as calorie-matched".

Why, and the source

Henselmans et al. (2026) excluded trials whose protein intakes differed. Three trials met its criteria for equal calories (I² 38%, p = 0.603), and the authors judge that one of them (Greene et al.) may not have been energy-matched in practice. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

A claim told a 72% glycogen drop in the most depleted muscle fibres as the depletion after twelve sets

What it said

It said "One study measured seventy-two percent depletion after just twelve sets" and that fibres "can empty out".

What it says now

It says "thirty-eight percent depletion of total quadriceps glycogen after twelve sets, and up to seventy-two percent in the most depleted type II fibres".

Why, and the source

Henselmans et al. (2026), citing Hokken et al.: total quadriceps glycogen fell 38% after 12 sets; in type II fibres the lowest quartile fell 72%, possibly an overestimate because resynthesis was not counted. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q387 Rule 30 sweep of Henselmans 2026: the pages citing the carbohydrate meta-analysis read in full against Mark's pastes of it and of the trials they cite

An ice-cream Short told a ceiling on glycogen loss after lifting as the typical loss

What it said

The Short said "Resistance training depletes glycogen by roughly 41%" and "empties the tank by about forty-one percent".

What it says now

It says "Conventional resistance training typically lowers glycogen by 41% at most" and "empties the tank by forty-one percent at most".

Why, and the source

Henselmans et al. write that "conventional RT protocols typically result in only modest glycogen reductions (≤ 41%)": 41% is the top of the range they cite, not a typical value. Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q363 full read against Mark's re-pastes and upload of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

A Greek yogurt Short said regular yogurt was tested and failed, and that 5 g of protein does nothing for muscle

ShortGreek Yogurt vs Regular Yogurt for Muscle: It’s the Grams

What it said

The Short said "Regular Yogurt Was Tested and Failed", "It produced zero additional benefit for muscle", that below a line "a serving of protein doesn't register with muscle at all", and that "It just passes through".

What it says now

It says regular yogurt "had been tested in an earlier trial, in untrained women" and "gave no further benefit for strength or lean mass than a protein-matched control or a carbohydrate control", and that "an isolated 20-gram dose of protein stimulated muscle protein synthesis more than 5 or 10 grams did".

Why, and the source

Bridge et al. (2019) describe the earlier study as in "young, normal weight, untrained females", finding "no further benefit of regular yogurt ... compared to a protein-matched control and a CHO control"; its yogurt group ate about 1.0 g/kg/day of protein in all. The paper's dose line is that "an isolated dose of 20 g of protein was superior in stimulating MPS as compared to lower isolated doses of 5 and 10 g", not that 5 g has no effect. Source: Bridge A, Brown J, Snider H, Nasato M, Ward WE, Roy BD, Josse AR. Greek Yogurt and 12 Weeks of Exercise Training on Strength, Muscle Thickness and Body Composition in Lean, Untrained, University-Aged Males. Front Nutr. 2019;6:55.

Found by

the Q363 full read against Mark's re-pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A digestion-speed Short told a protein drink against a mixed drink as a ranking of carbs, protein and fat

ShortYour Body Is Still Absorbing Lunch Protein at Dinner

What it said

The Short said "The ranking is carbs first, protein second, fat last", "carbs were halfway out of the stomach in 23 minutes" and "Fat is the slowest".

What it says now

It says the study "did not test carbs on their own", that "a drink of carbs, fat and a little protein was halfway out of the stomach in 23 minutes", and that "The study does not rank carbs, protein and fat".

Why, and the source

Giezenaar et al. (2018) gave 13 young men drinks of 14 g protein, 28 g dextrose and 12.4 g olive oil, or 70 g whey, at 280 kcal each; no drink held carbohydrate or fat alone. They concluded that "whey protein slowed gastric emptying more than an equi-energetic combination of protein, fat and carbohydrate", with results "related to these single types of fat and carbohydrate". Source: Giezenaar C, Lange K, Hausken T, Jones KL, Horowitz M, Chapman I, Soenen S. Acute Effects of Substitution, and Addition, of Carbohydrates and Fat to Protein on Gastric Emptying, Blood Glucose, Gut Hormones, Appetite, and Energy Intake. Nutrients. 2018;10:1451.

Found by

the Q363 full read against Mark's PDF upload and re-paste of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

A digestion-speed Short explained stomach emptying with muscle glucose transporters, a mechanism its sources do not give

ShortYour Body Is Still Absorbing Lunch Protein at Dinner

What it said

The Short said "The gap is driven by active transport: muscle cells pull glucose in through dedicated transporters triggered by insulin", that glycogen restoring "within 30 minutes" is "the entire basis for carb-focused pre-workout meals", and credited the GLUT-4 mechanism to the ISSN position stand.

What it says now

It says "The authors point to gut hormones", that protein "kept GLP-1 raised longer and tended to raise CCK more", and that "both hormones slow the stomach".

Why, and the source

How fast the stomach empties is not muscle glucose uptake. Giezenaar et al. (2018) write: "As both CCK and GLP-1 slow gastric emptying, the lesser increases in their blood concentrations after fat and carbohydrate than protein may, in part, account for the faster gastric emptying after the mixed macronutrient drink." The ISSN stand (Kerksick et al. 2017) mentions GLUT-4 only for a possible blood-glucose drop when carbohydrate is eaten just before exercise, and its 30 minutes concerns glycogen restoration after exercise. Source: Giezenaar C, Lange K, Hausken T, Jones KL, Horowitz M, Chapman I, Soenen S. Acute Effects of Substitution, and Addition, of Carbohydrates and Fat to Protein on Gastric Emptying, Blood Glucose, Gut Hormones, Appetite, and Energy Intake. Nutrients. 2018;10:1451.

Found by

the Q363 full read against Mark's PDF upload and re-paste of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

A vitamin D and K2 Short said vitamin D's effect on muscle protein starts mattering when you lift; no study it points to shows that

ShortThe Biology That Made Everyone Certain About Vitamin D + K2

What it said

The Short said what vitamin D does to muscle protein "is a different mechanism entirely — one that starts mattering the moment you pick up a weight".

What it says now

It says what vitamin D may do inside your muscle cells, "on the pathway that builds protein, is a different question entirely".

Why, and the source

The page it links to rests on cell-culture work, where the active form of vitamin D "enhanced protein synthesis" in muscle cells grown in a dish, and on one trial of eldecalcitol, an active form of vitamin D, in which the authors say their results "suggested" an effect on these pathways in human muscle. Neither ties the effect to lifting weights. Source: Agoncillo M, Yu J, Gunton JE. The Role of Vitamin D in Skeletal Muscle Repair and Regeneration in Animal Models and Humans: A Systematic Review. Nutrients. 2023;15(20):4377.

Found by

the Q387 Rule 30 sweep of Agoncillo 2023: the second-order lines resting on the corrected vitamin D protein Short, read against Mark's PDFs

A Short credited the 2017 light-versus-heavy meta-analysis with explaining why muscles shake; the paper never mentions shaking

ShortWhy Muscles Shake Mid-Set: What Two Studies Say, and Don’t

What it said

The Short said "Muscles shake during hard exercises because fatigued motor units cycle off and fresh ones rotate in to maintain force", credited to Schoenfeld et al. 2017, that "Trained motor units cycle more efficiently", and that the shake "was the threshold where growth begins".

What it says now

It says "The research behind this page does not explain why muscles shake", that the paper mentions motor units that may drop out and rejoin "only as an idea it cites from another paper, about light-weight sets and readings of the muscle's electrical activity", and that "with every set taken to failure, light and heavy weights built similar muscle". Its graphic of a motor-unit relay is removed.

Why, and the source

The 2017 meta-analysis mentions motor-unit "cycling" once, in its introduction: "it has been posited that MUs may momentarily de-recruit and re-recruit" throughout "a light-load set of repetitions", which would alter surface EMG readings. It does not mention shaking or tremor, and it reports no finding on how training changes the way motor units behave. What it measured is muscle size and strength after at least 6 weeks of training, every set taken to momentary muscular failure. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017 (the page read in full against the saved journal page), then Mark's re-paste of Schumann 2022

A Short told a speculation in a cardio-and-lifting meta-analysis as a proven cause of muscle shaking

ShortWhy Muscles Shake Mid-Set: What Two Studies Say, and Don’t

What it said

The Short said "Fatigue also degrades the precision of nerve signals from the brain, compounding the coordination breakdown", and gave the paper as showing that "The maximal discharge rate of motor neurons — the primary determinant of rate of force development — declines under fatigue".

What it says now

It says the authors "only speculate that residual fatigue from aerobic training affects corticospinal inputs to motor neurons, as a possible reason explosive strength gains were blunted", and that this is "about explosive strength after weeks of combined training, not about a set that shakes".

Why, and the source

The meta-analysis compared cardio plus strength training with strength training alone over at least 4 weeks. For the blunted gains in explosive strength, its Discussion offers: "It could be speculated that residual fatigue induced by aerobic training affects the corticospinal inputs received by the motor neurons before force is generated". It does not measure fatigue within a set or mention shaking. Source: Schumann M, Feuerbacher JF, Sünkeler M, Freitag N, Rønnestad BR, Doma K, Lundberg TR. Compatibility of Concurrent Aerobic and Strength Training for Skeletal Muscle Size and Function: An Updated Systematic Review and Meta-Analysis. Sports Med. 52(3):601-612 (online 10 November 2021).

Found by

the Q387 Rule 30 sweep of Schoenfeld 2017 (the page read in full against the saved journal page), then Mark's re-paste of Schumann 2022

A hardgainer Short credited a volume meta-analysis with a five-to-ten-set sweet spot and rising recovery costs

ShortYour Calorie Surplus Was Real. Your Body Burned Part of It.

What it said

The Short said "Five to ten sets per muscle group per week captures the highest return per set invested", that past ten "recovery costs climb faster than the gains", and "Frequency is scheduling", citing "Minimum effective dose: 4 sets" and a "91.3% posterior probability".

What it says now

It says "muscle growth rose as weekly sets rose, with diminishing returns", that how often sets were spread "had an effect on growth that may be negligible; for strength, more frequent training helped".

Why, and the source

Pelland et al. (2025), as published, report that "gains in muscle size and strength increase as volume increases. However, both best-fit models suggest diminishing returns", and that frequency's effect on hypertrophy showed "compatibility with negligible effects" while strength rose with frequency. The published abstract, the version the page cites, reports no set range, minimum dose or recovery cost. Source: Pelland JC, Remmert JF, Robinson ZP, Hinson SR, Zourdos MC. The Resistance Training Dose Response: Meta-Regressions Exploring the Effects of Weekly Volume and Frequency on Muscle Hypertrophy and Strength Gains. Sports Med. 2026;56:481-505.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A hardgainer Short said protein supplements account for a quarter of all muscle gained

ShortYour Calorie Surplus Was Real. Your Body Burned Part of It.

What it said

The Short said "Training drives roughly" three-quarters of all muscle gained and "Supplementation accounts for the remaining quarter", and that "training alone drove ~73% of FFM gains, protein supplementation ~27%".

What it says now

It says training alone added "1.1 kg of fat-free mass", and "protein supplements added 0.30 kg on top, about a fifth of the total".

Why, and the source

Morton et al. (2018) report that "RET alone ... resulted in an increase in FFM (1.1±1.2 kg)" and that "Dietary protein supplementation augmented the increase in FFM by 0.30 kg (27%": 27% of the training-alone gain, about a fifth of the total, and fat-free mass, not muscle. Source: Morton RW, Murphy KT, McKellar SR, Schoenfeld BJ, Henselmans M, Helms E, Aragon AA, Devries MC, Banfield L, Krieger JW, Phillips SM. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A hardgainer Short said 800 extra calories entirely from protein produced zero fat gain, used for repair and thermogenesis

ShortYour Calorie Surplus Was Real. Your Body Burned Part of It.

What it said

The Short said "consuming an extra 800 calories per day entirely from protein produced zero increase in body fat" and that "the body uses it for repair and thermogenesis rather than storing it".

What it says now

It says lifters who ate "over 800 extra calories a day, including 145 extra grams of protein" for eight weeks showed "no significant change in body fat", nor in lean mass, and that "The authors speculate that protein's high thermic effect may play a part; they did not measure it".

Why, and the source

Antonio et al. (2014) report that the high-protein group "consumed over 800 calories more per day for eight weeks" and "an extra 145 grams of protein daily"; carbohydrate intake also rose on average (by about 14%, not significantly). There were "no significant changes over time or between groups for body weight, fat mass, fat free mass, or percent body fat". The thermic effect is offered as speculation ("One might suggest"); the study measured body composition, training volume and food intake. Source: Antonio J, Peacock CA, Ellerbroek A, Fromhoff B, Silver T. The effects of consuming a high protein diet (4.4 g/kg/d) on body composition in resistance-trained individuals. J Int Soc Sports Nutr. 2014;11:19.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A hardgainer Short told a meta-analysis's non-significant protein break point as a confirmed ceiling

ShortYour Calorie Surplus Was Real. Your Body Burned Part of It.

What it said

The Short said "Protein has a ceiling most hardgainers blow past", "a breakpoint confirmed across 49 randomized trials", "protein up to 1.6 g/kg/day (not more)" and "Doubling it adds calories without adding muscle stimulus", and cited "Morton BR et al."

What it says now

It says "Protein has a possible break point, not a proven ceiling", that the estimate came "from 42 study arms" and "was not statistically significant", that "Its authors suggest about 2.2 for those who want to maximise gains", and cites "Morton RW et al."

Why, and the source

Morton et al. (2018) found that "Protein supplementation beyond total protein intakes of 1.62 g/kg/day resulted in no further RET-induced gains in FFM", from "42 study arms, 723 participants", "presented as a segmental regression despite not being statistically significant (p=0.079)", with a 95% CI of 1.03 to 2.20; they write that "it may be prudent to recommend ~2.2 g protein/kg/d for those seeking to maximise resistance training-induced gains in FFM". The first author is Robert W Morton. Source: Morton RW, Murphy KT, McKellar SR, Schoenfeld BJ, Henselmans M, Helms E, Aragon AA, Devries MC, Banfield L, Krieger JW, Phillips SM. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A hardgainer Short said heavy and light loads build identical muscle, and cited the meta-analysis under another paper's title

ShortYour Calorie Surplus Was Real. Your Body Burned Part of It.

What it said

The Short said "Heavy loads and light loads produced identical growth when sets reached failure. Reaching the wall was the stimulus", that "any weight that reaches failure in a controlled set works — no minimum load required", and cited "Loading Recommendations for Muscle Strength, Hypertrophy, and Local Endurance (Schoenfeld et al. 2017)".

What it says now

It says "Heavy loads and light loads produced similar growth when every set went to failure", that "the authors say the result cannot be assumed for sets stopped short of it", and cites "Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis (Schoenfeld et al. 2017)".

Why, and the source

Schoenfeld et al. (2017) found that "Changes in measures of muscle hypertrophy were similar between conditions" in trials where every set was "performed to momentary muscular failure", with low loads defined as 60% of 1RM or less; they write that "comparable results cannot reasonably be assumed for submaximal, nonfailure training". The DOI on the page belongs to this paper; "Loading Recommendations for Muscle Strength, Hypertrophy, and Local Endurance" is a different paper. Source: Schoenfeld BJ, Grgic J, Ogborn D, Krieger JW. Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017;31(12):3508-3523.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A hardgainer Short told an overfeeding study of fat gain as the reason hardgainers cannot gain muscle

ShortYour Calorie Surplus Was Real. Your Body Burned Part of It.

What it said

The Short said "Hardgainers struggle not because of a fast metabolism but because their bodies unconsciously burn surplus calories through involuntary movement, erasing up to 692 kcal/day", that someone eating 500 extra calories "could have their entire excess erased", that the 692 calories were burned "in the leanest gainers", and was titled "Your Calorie Surplus Was Real. Your Body Burned It Anyway."

What it says now

It says volunteers "did not store all of it: everyday non-exercise movement rose, by as much as 692 kcal/day in one volunteer", that "no volunteer burned all of it off", that "The study measured fat, in people who kept exercise low, not hardgainers building muscle", and is titled "Your Calorie Surplus Was Real. Your Body Burned Part of It."

Why, and the source

Levine et al. (1999) overfed 16 nonobese adults by 1,000 kcal a day for 8 weeks, holding exercise "at constant, low levels", and measured fat gain. Every volunteer gained fat (0.36 to 4.23 kg); on average "432 kcal/day of the excess energy ingested was stored and 531 kcal/day was dissipated". The largest rise in nonexercise activity thermogenesis, 692 kcal/day, was one volunteer's ("volunteer 5"); it was worked out as total expenditure minus resting and digestion costs, and the paper does not call it involuntary. It did not study hardgainers or muscle gain. Source: Levine JA, Eberhardt NL, Jensen MD. Role of Nonexercise Activity Thermogenesis in Resistance to Fat Gain in Humans. Science. 1999;283(5399):212-214.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A drinking Short said rest days carry less muscle cost because muscle building sits at baseline; no study it cites measured a rest day

ShortThe Wrong Number in Every Post-Gym Drinking Calculation

What it said

The Short said "Rest days carry less muscle cost because post-exercise protein synthesis is at baseline — no elevated rebuilding process for alcohol to disrupt", and that "On rest days, even this question becomes irrelevant".

What it says now

It says "The muscle cost that has been measured comes from drinking after a workout; none of these studies measured the rebuilding rate after drinking on a rest day", and that "a rest day is the unmeasured option, not a proven free pass".

Why, and the source

Parr et al. (2014) gave alcohol only after exercise ("The alcohol ingestion protocol ... began 1 h post-exercise") and measured muscle protein synthesis from 2 to 8 hours after it; their resting rate came from one fasted morning biopsy, not from a rest day. They note that earlier data on alcohol and muscle protein synthesis came from rodents, where "both acute and chronic alcohol ingestion can have a detrimental effect on cell signaling and protein synthesis in skeletal muscle". No study on the page measured what drinking on a rest day does to muscle building. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol Ingestion Impairs Maximal Post-Exercise Rates of Myofibrillar Protein Synthesis following a Single Bout of Concurrent Training. PLoS One. 2014;9(2):e88384.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A drinking Short set a binge-drinking study's cost inside a 12-hour window after a big protein dose, and gave its measurement as 8 hours

ShortThe Wrong Number in Every Post-Gym Drinking Calculation

What it said

The Short said "When alcohol enters during that silent window, the cost is measurable" (the window being more than twelve hours of rebuilding after a 100-gram protein dose), and that the study measured its 24% and 37% "over 8 h".

What it says now

It says "When alcohol was drunk after exercise, the cost was measurable", in "a trial of eight active men", "measured from two to eight hours after the workout", "compared with protein alone (25 g whey at 0 and 4 h)".

Why, and the source

Parr et al. (2014) gave 8 physically active men alcohol (1.5 g/kg, 12 ± 2 standard drinks) after leg extensions and cycling, with two 25 g whey drinks, and measured myofibrillar protein synthesis "throughout 2–8 h of recovery". They did not give a 100-gram protein dose or measure the twelve hours that follow one. Source: Parr EB, Camera DM, Areta JL, Burke LM, Phillips SM, Hawley JA, Coffey VG. Alcohol Ingestion Impairs Maximal Post-Exercise Rates of Myofibrillar Protein Synthesis following a Single Bout of Concurrent Training. PLoS One. 2014;9(2):e88384.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A drinking Short told a low-dose alcohol study as showing no impairment of muscle function and a safe floor for the damage

ShortThe Wrong Number in Every Post-Gym Drinking Calculation

What it said

The Short said that at three to four drinks "muscle function after exercise showed no measurable impairment", that "The damage threshold sits above that line", and in its audio that "it has a floor. It has a dose range where the body handles it"; it said the study found "0.5 g/kg showed no force recovery impairment while 1.0 g/kg did", with "dose-response at only two levels".

What it says now

It says "strength fell in the days after, but no more than without alcohol", that "It measured force, not rebuilding, and tested only that one dose", and that "the 1 g/kg effect is the authors' earlier work".

Why, and the source

Barnes et al. found "Significant decreases in all measures of muscular performance ... over time under both conditions" after 300 maximal eccentric contractions, with "no difference between treatments" at 0.5 g/kg. The study measured force, not muscle protein synthesis, and "only a single dose of alcohol is able to be compared to the control beverage"; the 1 g/kg result comes from the authors' previous work. Source: Barnes MJ, Mündel T, Stannard SR. A low dose of alcohol does not impact skeletal muscle performance after exercise-induced muscle damage. Eur J Appl Physiol. 2011;111:725-729.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A drinking Short said moderate daily drinking produced the same lean mass gains, and called a partly self-selected trial an RCT

ShortThe Wrong Number in Every Post-Gym Drinking Calculation

What it said

The Short said "Moderate daily alcohol consumption across a ten-week training program produced the same lean mass gains as abstaining completely" and rated it "one RCT".

What it says now

It says young adults "gained about 5% lean mass whether they drank one or two beers a day, the same alcohol as vodka in sparkling water, or no alcohol", that "Participants chose whether to drink, and the authors say the study may be too small to detect differences between the drinks", and that it was "partly funded by a beer-and-health information centre".

Why, and the source

Molina-Hidalgo et al. (2019) trained participants with "two HIIT sessions per week, during 10 consecutive weeks"; lean mass rose about 5% in each training group, "improving similarly". The authors write that "participants were not purely randomized" (they chose alcohol or not), that the study "could be underpowered to note statistical differences" between beverages, and that it "was partially funded by an unrestricted grant of the Centro de Información Cerveza y Salud (CICS)", on whose scientific advisory board one author sits. Source: Molina-Hidalgo C, De-la-O A, Jurado-Fasoli L, Amaro-Gahete FJ, Castillo MJ. Beer or Ethanol Effects on the Body Composition Response to High-Intensity Interval Training. The BEER-HIIT Study. Nutrients. 2019;11:909.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A drinking Short cited the BEER-HIIT trial in the wrong journal and with the wrong number of participants

ShortThe Wrong Number in Every Post-Gym Drinking Calculation

What it said

The Short cited "Molina-Hidalgo et al. (2019, Med Sci Sports Exerc, n=73)".

What it says now

It cites "Molina-Hidalgo et al. (2019, Nutrients, n=72, 14 of them not training)".

Why, and the source

The paper is "Nutrients 2019, 11, 909; doi:10.3390/nu11040909", with "healthy adults (n = 72, 35 females)". Source: Molina-Hidalgo C, De-la-O A, Jurado-Fasoli L, Amaro-Gahete FJ, Castillo MJ. Beer or Ethanol Effects on the Body Composition Response to High-Intensity Interval Training. The BEER-HIIT Study. Nutrients. 2019;11:909.

Found by

the Q363/Q397 full read against Mark's pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A vitamin D Short told a rat study as experiments in general and said extra calcium fixed nothing

What it said

The Short said "In controlled experiments" vitamin D deficiency slowed protein synthesis and sped breakdown, and that "The only thing that corrected both sides was restoring vitamin D, not adding more calcium, not increasing protein intake".

What it says now

It says "In a study of rats", that "A high-calcium diet partly corrected it", and that "The lost muscle weight and fiber size came back only with vitamin D".

Why, and the source

The review the Short cites (Agoncillo et al. 2023) reports Bhat et al., a study in male rats: the slower muscle protein synthesis and faster breakdown "was partially corrected by high-calcium diets", while the lower muscle weight, lean body mass and type II fibre area "could only be corrected by vitamin D supplementation". No arm changed protein intake. Source: Agoncillo M, Yu J, Gunton JE. The Role of Vitamin D in Skeletal Muscle Repair and Regeneration in Animal Models and Humans: A Systematic Review. Nutrients. 2023;15:4377.

Found by

the Q363 full read against Mark's uploads and re-paste of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

A vitamin D Short told a trial of an active vitamin D drug as vitamin D treatment that confirmed the mechanism for the first time

What it said

The Short said a 2025 trial "measured what no study had measured before", after "one year of vitamin D treatment", that "That much is confirmed", and in its search description "confirmed it in human tissue for the first time"; its chart notes said muscle was measured by dual-energy X-ray absorptiometry.

What it says now

It says the trial used "eldecalcitol, an active form of vitamin D", that "over the year the signals fell in the placebo group, and the drug lessened or prevented that fall", that the authors "write that their trial suggested" this and "it measured the signals, not protein synthesis itself", and that muscle was measured by "bioelectrical impedance analysis".

Why, and the source

Kawahara et al. (2025) gave 32 adults with prediabetes eldecalcitol, "an active form of vitamin D", or placebo for a year. They measured signalling proteins in muscle by western blotting, not protein synthesis; the signals "significantly decreased in the placebo group, whereas this decline was mitigated or prevented in the eldecalcitol group". Their conclusion: "This study suggested" that active vitamin D regulates these pathways. Body composition was measured by bioelectrical impedance. The paper does not call itself the first such study. Source: Kawahara T, Inazu T, Mizuno S, Tominaga N, Toda M, Toyama N, Kawahara C, Suzuki G; DPVD Research Group. Anti-sarcopenic effects of active vitamin D through modulation of anabolic and catabolic signaling pathways in human skeletal muscle: A randomized controlled trial. Metabolism. 2025;168:156240.

Found by

the Q363 full read against Mark's uploads and re-paste of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

A vitamin D Short told a muscle-cell study as vitamin D making the protein you eat work better

What it said

The Short said vitamin D "amplifies what leucine does when it arrives", making "the protein you eat more effective", called it "a protein amplifier", and said it "kicks off the identical signaling cascade that leucine triggers".

What it says now

It says "In muscle cells grown in a dish" vitamin D enhanced the effects of leucine and insulin, and that "none of the studies on this page tested it with the protein people eat".

Why, and the source

The finding comes from Salles et al., a study in C2C12 muscle cells reported in the review the Short cites (Agoncillo et al. 2023): 1,25D "enhanced protein synthesis" and "Akt/mTOR pathways", and was "found to enhance the effects of leucine and insulin, which promote protein anabolism in muscle cells". No study on the page tested vitamin D with the protein people eat. Source: Agoncillo M, Yu J, Gunton JE. The Role of Vitamin D in Skeletal Muscle Repair and Regeneration in Animal Models and Humans: A Systematic Review. Nutrients. 2023;15:4377.

Found by

the Q363 full read against Mark's uploads and re-paste of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

A vitamin D Short told a meta-analysis of trials in athletes as vitamin D trials in general, and rated it strong

What it said

The Short said researchers "pooled the strength data from vitamin D supplementation trials", rated the evidence "Strong (meta-analysis of multiple RCTs)", and cited the paper as "Vitamin D3 supplementation and muscle strength meta-analysis".

What it says now

It says "ten vitamin D3 trials in athletes", rates the evidence "Moderate (meta-analysis of 10 RCTs in 354 athletes; the authors note the limited number of studies)", and cites the paper by its title.

Why, and the source

Han et al. (2024) pooled 10 randomized trials in 354 athletes. The authors write that "With limited available studies for the quantitative synthesis", the result "cannot warrant significant overall enhancements in muscle strength". The paper's title is "Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials". Source: Han Q, Xiang M, An N, Tan Q, Shao J, Wang Q. Effects of vitamin D3 supplementation on strength of lower and upper extremities in athletes: an updated systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2024;11:1381301.

Found by

the Q363 full read against Mark's uploads and re-paste of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

A milk-shake Short said the milk matrix changed nothing, though the study found it slowed digestion

ShortMilk or Water in Your Protein Shake? The Matrix Didn’t Matter

What it said

The Short said "The milk matrix changed nothing", that protein reaching the bloodstream was "identical", and that "The sustained-release story, the casein edge, the matrix — none of it held up when the protein dose was equal".

What it says now

It says "The milk matrix changed the pace, not the muscle building", that "the casein was digested and absorbed more slowly", and that "The slow release was real; the extra muscle building was not".

Why, and the source

Churchward-Venne et al. (2015) concluded that "Casein ingestion in a milk matrix delays protein digestion and absorption but does not modulate postprandial muscle protein synthesis". Total protein availability over 300 minutes and muscle protein synthesis did not differ significantly; neither was shown to be identical. Source: Churchward-Venne TA, Snijders T, Linkens AMA, Hamer HM, van Kranenburg J, van Loon LJC. Ingestion of Casein in a Milk Matrix Modulates Dietary Protein Digestion and Absorption Kinetics but Does Not Modulate Postprandial Muscle Protein Synthesis in Older Men. J Nutr. 2015;145:1438-45.

Found by

the Q363 full read against Mark's re-paste of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

A milk-shake Short described the study's milk serum as a liquid that matched milk's composition

ShortMilk or Water in Your Protein Shake? The Matrix Didn’t Matter

What it said

The Short said the casein was dissolved "in a liquid that matched milk’s composition" and that "Nothing differed except the liquid".

What it says now

It says the study gave "older men" the casein dissolved "in milk serum, a lactose-and-mineral liquid with almost no protein or fat, diluted to the lactose level of skimmed milk", and that "The milk liquid also brought 30.9 grams of carbohydrate".

Why, and the source

Churchward-Venne et al. (2015) gave 25 g casein to healthy older men in milk serum "diluted in water to obtain a lactose concentration of 5% typical of skimmed milk", which "provided an additional 30.9-g carbohydrate, 0.9-g protein, and 0.2-g fat as compared to water". Source: Churchward-Venne TA, Snijders T, Linkens AMA, Hamer HM, van Kranenburg J, van Loon LJC. Ingestion of Casein in a Milk Matrix Modulates Dietary Protein Digestion and Absorption Kinetics but Does Not Modulate Postprandial Muscle Protein Synthesis in Older Men. J Nutr. 2015;145:1438-45.

Found by

the Q363 full read against Mark's re-paste of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

A milk-shake Short attached a protein-availability P value to muscle protein synthesis

ShortMilk or Water in Your Protein Shake? The Matrix Didn’t Matter

What it said

The Short said milk serum and water "produced identical muscle protein synthesis rates (P = 0.80)".

What it says now

It says "muscle protein synthesis rates did not differ from water, and neither did total protein availability (P = 0.80)".

Why, and the source

In Churchward-Venne et al. (2015), P = 0.80 is the comparison of dietary protein-derived phenylalanine availability over 300 minutes. The muscle protein synthesis comparison is reported separately: "The milk matrix did not modulate postprandial myofibrillar protein synthesis rates". Source: Churchward-Venne TA, Snijders T, Linkens AMA, Hamer HM, van Kranenburg J, van Loon LJC. Ingestion of Casein in a Milk Matrix Modulates Dietary Protein Digestion and Absorption Kinetics but Does Not Modulate Postprandial Muscle Protein Synthesis in Older Men. J Nutr. 2015;145:1438-45.

Found by

the Q363 full read against Mark's re-paste of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

An ice-cream Short told the ISSN's "likely minimal influence" of post-workout sugar as zero, and a large whey dose as any protein

What it said

The Short said "Sugar adds nothing on top", "zero additional muscle protection", "A whey shake, a chicken breast, whatever protein source was already on the plan", and that "A serving of whey protein alone" maxes out insulin's protective effect.

What it says now

It says "A 45-gram serving of whey protein alone" does, "A big whey shake gets there on its own", that sugar on top "likely makes minimal difference" for muscle, and that "post-workout carbohydrate likely exerts minimal influence when adequate protein is consumed".

Why, and the source

The ISSN position stand says insulin's effect on reducing protein breakdown plateaus at levels "achieved by consuming a 45 g bolus of whey protein isolate alone", so "post-workout carbohydrate supplementation likely exerts minimal influence from a muscle development standpoint provided adequate protein is consumed". Source: Kerksick CM, Arent S, Schoenfeld BJ, Stout JR, Campbell B, Wilborn CD, Taylor L, Kalman D, Smith-Ryan AE, Kreider RB, Willoughby D, Arciero PJ, VanDusseldorp TA, Ormsbee MJ, Wildman R, Greenwood M, Ziegenfuss TN, Aragon AA, Antonio J. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q363 full read against Mark's re-pastes and upload of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

An ice-cream Short told the strongest predictor in a meta-regression as a finding in every trial

What it said

The Short's audio said total protein was "the variable that kept showing up in every trial that measured it".

What it says now

It says "Across 23 studies, that was the strongest predictor of muscle growth".

Why, and the source

Schoenfeld, Aragon and Krieger (2013) analysed 23 studies; in their meta-regression "total protein intake was the strongest predictor of ES magnitude" for hypertrophy. That is a pooled result, not a finding of every trial. Source: Schoenfeld BJ, Aragon AA, Krieger JW. The effect of protein timing on muscle strength and hypertrophy: a meta-analysis. J Int Soc Sports Nutr. 2013;10:53.

Found by

the Q363 full read against Mark's re-pastes and upload of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

An ice-cream Short cited a carbohydrate meta-analysis with the wrong year, a description for its title and a participant count it does not print

What it said

The Short cited "Henselmans et al. 2025", gave its title as "Carbohydrate Intake and Muscle Hypertrophy Meta-Analysis", and said "11 RCTs, 227 participants".

What it says now

It cites "Henselmans et al. 2026", gives the title "The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis", and drops the participant total (its research notes now say "average 20.6 participants per trial").

Why, and the source

The paper was published on 19 February 2026 in Sports Medicine 56:691-702 under that title. Its text gives an average sample size of 20.6 participants per trial and no total; 227 was FitChef arithmetic (11 x 20.6). Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q363 full read against Mark's re-pastes and upload of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

An ice-cream Short told the ISSN's four-hour rule for fast glycogen refuelling as eight hours

What it said

The Short said "endurance athletes with a second session fewer than eight hours away do benefit from rapid carbohydrate replenishment".

What it says now

It says "when glycogen has to be restored in under four hours, as between two sessions close together, the ISSN recommends rapid carbohydrate refeeding".

Why, and the source

The ISSN position stand (Kerksick et al. 2017) recommends its rapid strategies "If rapid restoration of glycogen is required (< 4 h of recovery time)". Its 8 hours refers to athletes completing "high volumes (i.e., ≥ 8 h) of exercise per week". Source: Kerksick CM, Arent S, Schoenfeld BJ, Stout JR, Campbell B, Wilborn CD, Taylor L, Kalman D, Smith-Ryan AE, Kreider RB, Willoughby D, Arciero PJ, VanDusseldorp TA, Ormsbee MJ, Wildman R, Greenwood M, Ziegenfuss TN, Aragon AA, Antonio J. International society of sports nutrition position stand: nutrient timing. J Int Soc Sports Nutr. 2017;14:33.

Found by

the Q363 full read against Mark's re-pastes and upload of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

An ice-cream Short told a non-significant carbohydrate result as zero effect with high confidence

What it said

The Short said the meta-analysis "found zero effect of carbohydrate intake on muscle growth", "the answer was zero", "A null result across every trial that measured it", and rated the evidence "High — meta-analysis of randomized controlled trials".

What it says now

It says the meta-analysis "found no significant effect of carbohydrate intake on muscle growth, with low certainty of evidence", that "the data do not completely rule out a small advantage", and rates the evidence "Low (the authors' GRADE rating: imprecision and a moderate risk of bias)".

Why, and the source

Henselmans et al. found no significant effect (SMD = 0.15, p = 0.230). They rated the "GRADE certainty of evidence" as "low (2/4) because of imprecision and a moderate risk of bias" and wrote that "the data do not completely rule out a hypertrophic advantage of higher carbohydrate intakes". Source: Henselmans M, Vårvik FT, Izquierdo M. The Effect of Carbohydrate Intake on Muscle Hypertrophy: A Systematic Review and Meta-analysis. Sports Med. 2026;56:691-702.

Found by

the Q363 full read against Mark's re-pastes and upload of 2026-10-10 (other-source lines on the Trommelen 2023 batch 3 Shorts)

A Greek yogurt Short misdescribed the trial's body-composition method, its funding and its training schedule

ShortGreek Yogurt vs Regular Yogurt for Muscle: It’s the Grams

What it said

The Short said the trial "relied on skinfolds and BIA", that Danone "played no role in funding or shaping the conclusions", and "Thirty guys lifting weights three times a week".

What it says now

It says the trial "used the Bod Pod (air-displacement plethysmography), which cannot measure muscle mass specifically", that "Danone supplied the Greek yogurt; a Brock University grant funded the study, and the authors declare no commercial or financial conflicts", and "two lifting sessions and one jumping session".

Why, and the source

Bridge et al. (2019) measured body composition "using air-displacement plethysmography via the bod pod", which "is unable to give a specific measure of muscle mass". The yogurt "was kindly provided by Danone Inc."; funding came from "AJ's unrestricted research grant from Brock University"; the training was full-body resistance training two days a week and plyometric training one day a week. Source: Bridge A, Brown J, Snider H, Nasato M, Ward WE, Roy BD, Josse AR. Greek Yogurt and 12 Weeks of Exercise Training on Strength, Muscle Thickness and Body Composition in Lean, Untrained, University-Aged Males. Front Nutr. 2019;6:55.

Found by

the Q363 full read against Mark's re-pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A Greek yogurt Short said Greek yogurt built 72% more muscle than regular yogurt; the trial compared it with a protein-free pudding

ShortGreek Yogurt vs Regular Yogurt for Muscle: It’s the Grams

What it said

The Short said "Greek yogurt builds significantly more muscle than regular yogurt", "When the comparison was finally tested directly", and in its search title "Greek Yogurt Builds 72% More Muscle Than Regular Yogurt".

What it says now

It says "The first Greek yogurt training trial did not compare it with regular yogurt but with a protein-free pudding", and that "Greek yogurt carries three to four times the protein of regular yogurt per serving".

Why, and the source

Bridge et al. (2019) randomised 30 untrained young men to Greek yogurt (20 g protein a dose) or "a Placebo Pudding (PP; isoenergetic carbohydrate-based pudding)" with 0 g protein. Both groups gained strength, muscle thickness and fat-free mass; the yogurt group gained more strength, biceps thickness and fat-free mass, while thigh thickness did not differ. The 72% is total strength (98 vs 57 kg), not muscle. Regular yogurt was not part of the trial. Source: Bridge A, Brown J, Snider H, Nasato M, Ward WE, Roy BD, Josse AR. Greek Yogurt and 12 Weeks of Exercise Training on Strength, Muscle Thickness and Body Composition in Lean, Untrained, University-Aged Males. Front Nutr. 2019;6:55.

Found by

the Q363 full read against Mark's re-pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A Greek yogurt Short told a meta-analysis's non-significant protein break point as a confirmed threshold where gains accelerate

ShortGreek Yogurt vs Regular Yogurt for Muscle: It’s the Grams

What it said

The Short said Morton 2018 "confirmed that the specifics of supplementation barely matter. Source, timing, type — none of it drives results once daily intake crosses roughly" 1.6 g/kg a day, called that "the line where gains accelerate" and "a threshold confirmed across far larger populations", and credited it to all "49 RCTs (1,863 participants)".

What it says now

It says the meta-analysis "found that added protein brought no further gain in fat-free mass beyond roughly" 1.6 g/kg a day, "a break point the authors note was not statistically significant", and that "Its authors judged the specifics of supplementation, such as timing or protein source, to play a minor role, if any".

Why, and the source

Morton et al. (2018) report that "Protein supplementation beyond total protein intakes of 1.62 g/kg/day resulted in no further RET-induced gains in FFM": gains stopped rising there; they did not accelerate. That break point came from 42 study arms with 723 participants and is "presented as a segmental regression despite not being statistically significant (p=0.079)". The authors conclude that the specifics of supplementation, such as timing or protein source, "play a minor, if any, role"; they do not tie this to crossing 1.6 g/kg a day. Source: Morton RW, Murphy KT, McKellar SR, Schoenfeld BJ, Henselmans M, Helms E, Aragon AA, Devries MC, Banfield L, Krieger JW, Phillips SM. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384.

Found by

the Q363 full read against Mark's re-pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

A Greek yogurt Short said Greek and regular yogurt hold casein and whey in identical proportions

ShortGreek Yogurt vs Regular Yogurt for Muscle: It’s the Grams

What it said

The Short said "casein and whey, the same building blocks in the same proportions" and "casein and whey in identical proportions".

What it says now

It says "Greek yogurt is regular yogurt with the liquid whey strained off: more protein per serving, mostly casein".

Why, and the source

Bridge et al. (2019) describe Greek yogurt's protein as "mostly casein" and write that, "Compared to milk, GY likely has a greater ratio of casein to whey", the liquid whey being removed in making it; they give no ratio for regular yogurt. Source: Bridge A, Brown J, Snider H, Nasato M, Ward WE, Roy BD, Josse AR. Greek Yogurt and 12 Weeks of Exercise Training on Strength, Muscle Thickness and Body Composition in Lean, Untrained, University-Aged Males. Front Nutr. 2019;6:55.

Found by

the Q363 full read against Mark's re-pastes (other-source lines on the Trommelen 2023 batch 3 Shorts)

Macronutrient Short: a brief muscle-building boost was set against the 100-gram data that showed the opposite

ShortYour Body Is Still Absorbing Lunch Protein at Dinner

What it said

The Short said the boost "peaks roughly 90 minutes after eating and then fades back to baseline, even though protein is still flooding in for hours afterward" and "The building boost is brief".

What it says now

It says "After the 100-gram dose, though, muscle building was still raised when the measurements stopped at twelve hours".

Why, and the source

After 100 grams in Trommelen et al. (2023), protein built into muscle rose steadily over the 12 hours and myofibrillar synthesis was about 40% higher than after 25 grams in hours 4 to 12. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Trommelen et al. 2023 was cited under wrong or shortened titles on six more Shorts

ShortYour Calorie Surplus Was Real. Your Body Burned Part of It. ShortPost-Workout Ice Cream Is Just Ice Cream ShortRaw Eggs Absorb Half the Protein. Your Muscles Can’t Tell. ShortMilk or Water in Your Protein Shake? The Matrix Didn’t Matter ShortWhat Vitamin D Actually Does to Your Protein ShortYour Body Is Still Absorbing Lunch Protein at Dinner

What it said

Six Shorts cited the paper as "Anabolic Response to Protein Ingestion of 100g in a Single Meal", "Anabolic Response to Protein: No Upper Limit", "Ingestion of 100 g of protein following exercise stimulates muscle protein synthesis and extends the anabolic response over 12 hours", under another paper's title ("Dietary Protein Intake and Distribution Patterns of Well-Trained Dutch Athletes"), or with the title cut short.

What it says now

Every citation gives the full title, "The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans".

Why, and the source

That is the title the paper prints (Cell Rep Med. 2023;4(12):101324). Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Greek-yogurt Short: the study was cited for a minimum protein dose it did not test

ShortGreek Yogurt vs Regular Yogurt for Muscle: It’s the Grams

What it said

The Short said the 5-gram threshold was "Consistent with dose-dependent MPS activation threshold from Trommelen et al. 2023" and that "regular yogurt's 5g does not" sit in the effective range.

What it says now

It says "Trommelen et al. 2023 tested 0, 25 and 100 g, so it does not show where a lower dose threshold sits" and "The trial tested nothing between a placebo and 25g".

Why, and the source

Trommelen et al. (2023) compared 0, 25 and 100 grams. The earlier studies it cites found 20 to 25 grams enough to maximise muscle protein synthesis after exercise; the paper does not report what smaller doses did. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Hardgainer Short: a one-dose study was said to show meal frequency does not affect muscle growth

ShortYour Calorie Surplus Was Real. Your Body Burned Part of It.

What it said

The Short said "Meal frequency does not independently affect muscle growth" and "Meal frequency: does not independently change results".

What it says now

It says "the study measured one dose for 12 hours, not meal frequency over weeks" and "one big protein dose kept muscle building going for more than twelve hours in a lab study".

Why, and the source

Trommelen et al. (2023) gave one dose and measured for 12 hours. Its authors say a single large amount of protein "would obviate the need to consume another protein-rich meal in close temporal proximity"; no meal-frequency trial was run. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Two Shorts told the authors' view on other proteins as something the study tested

ShortMilk or Water in Your Protein Shake? The Matrix Didn’t Matter ShortYour Body Is Still Absorbing Lunch Protein at Dinner

What it said

The milk Short said the dose-response "appears to hold regardless of protein type", that "the total grams are what drive the muscle-building response" and "Findings generalizable beyond milk protein to other protein types". The macronutrient Short said "the multi-hour pattern is consistent across protein types".

What it says now

They say "The study gave milk protein only", "The authors judge the findings generalizable to other protein types" and "the authors judge the response likely to generalise to other proteins".

Why, and the source

Trommelen et al. (2023) gave milk protein only. Drawing on their own trial of whey and casein, the authors judge the responses "unlikely to be restricted to more slowly digestible proteins". Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Ice-cream Short: the study was said to show there is no need for protein right after a workout

What it said

The Short said the study confirmed "no need for immediate post-workout protein".

What it says now

It says "every dose was given right after the workout, so the trial did not test protein timing".

Why, and the source

Trommelen et al. (2023) gave every drink right after the workout. It compared doses, not times. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Two Shorts misstated what the study found about muscle signalling

ShortThe Wrong Number in Every Post-Gym Drinking Calculation ShortWhat Vitamin D Actually Does to Your Protein

What it said

The rest-day drinking Short said "The molecular signals that kickstart rebuilding fade within about four hours" and that "Rebuilding signals return to baseline" at about four hours. The vitamin D Short said "mTOR signaling transient (<4h)".

What it says now

They say the signals "had already faded by the first biopsy after the drink, four hours in" and "no effect of protein on mTOR signaling at 4, 8 or 12 hours".

Why, and the source

Trommelen et al. (2023) saw no effect of protein feeding on muscle signalling in the biopsies at 4, 8 and 12 hours. The under-4-hour signalling response comes from earlier studies it cites. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Two Shorts misstated how much of the 100-gram dose had reached the blood by 12 hours

ShortYour Body Is Still Absorbing Lunch Protein at Dinner ShortMilk or Water in Your Protein Shake? The Matrix Didn’t Matter

What it said

The macronutrient Short's social description said "twelve hours later, your body still hasn't absorbed half of it". The milk Short said 53% was "still entering circulation at 12h".

What it says now

They say "twelve hours later only about half had reached the blood" and "53% of the amino acids from 100g had entered the circulation by 12h".

Why, and the source

Trommelen et al. (2023): 53% of the 100 grams had appeared in the blood by 12 hours, counted cumulatively, and the release had not plateaued. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Milk Short: the protein not burned was said to go to muscle building

ShortMilk or Water in Your Protein Shake? The Matrix Didn’t Matter

What it said

The Short said "the rest goes directly to muscle building" and "The rest went to work".

What it says now

It says "Of the 100 grams, 13 grams were built into muscle protein over those 12 hours".

Why, and the source

In Trommelen et al. (2023), 13 of the 100 grams were built into muscle protein over 12 hours, and only 53% had reached the blood by then. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Two Shorts told an oxidation figure from earlier studies as the result of the 100-gram study

ShortYour Calorie Surplus Was Real. Your Body Burned Part of It. ShortMilk or Water in Your Protein Shake? The Matrix Didn’t Matter

What it said

The hardgainer Short said "less than 15% of the extra protein is oxidized". The milk Short said "less than 15% of the increase was oxidized".

What it says now

They say "the rise in protein burned for energy was negligible" and "the rise in protein burned for energy was negligible next to the rise in protein building".

Why, and the source

In Trommelen et al. (2023) the rise in amino acid oxidation was "negligible when compared to the whole-body protein synthetic response". The under-15% figure is the authors' re-analysis of earlier dose-response studies. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Four Shorts told the 100-gram result as true of any meal, any workout or any extra protein

ShortFasting Didn’t Touch the Muscle. It Burned the Fat. ShortThe Wrong Number in Every Post-Gym Drinking Calculation ShortMilk or Water in Your Protein Shake? The Matrix Didn’t Matter ShortYour Body Is Still Absorbing Lunch Protein at Dinner

What it said

The fasting Short said "your last meal keeps working longer than you think" and that "A single protein-rich dinner triggered muscle protein synthesis" for over twelve hours. The rest-day drinking Short said "Muscle protein synthesis after a training session runs for" more than twelve hours. The milk Short was titled "Why Milk Beats Water in Your Protein Shake" and said a separate experiment "confirmed what that extra dose does" for the 8 grams in a cup of milk. The macronutrient Short said "Protein absorption extends over 12 hours" for any protein.

What it says now

They say "a single 100-gram protein drink after a workout kept muscle protein synthesis raised", "After a training session and a big protein dose, muscle protein synthesis ran for", "Milk or Water in Your Protein Shake? The Matrix Didn't Matter", "It did not test an extra 8 grams" and "After a 100-gram dose, protein kept reaching the blood for 12 hours".

Why, and the source

Trommelen et al. (2023) found the more-than-12-hour response after 100 grams of protein taken right after a workout. After 25 grams most of the drink's protein reached muscle in the first 4 hours, and the authors write that the duration depends on how much protein is eaten. The study compared 0, 25 and 100 grams, not an extra 8. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Three Shorts misdescribed how the 100-gram protein study measured

ShortFasting Didn’t Touch the Muscle. It Burned the Fat. ShortYour Body Is Still Absorbing Lunch Protein at Dinner ShortMilk or Water in Your Protein Shake? The Matrix Didn’t Matter

What it said

The fasting Short called the dose "a large protein meal, about 100 grams" and said "muscle breakdown rates didn't increase regardless of protein dose". The macronutrient Short said the milk protein was "intrinsically labeled with deuterium". The milk Short called the trial a "controlled metabolic ward study".

What it says now

They say "100 grams, in a drink after a workout", "Protein intake had a negligible effect on whole-body protein breakdown", "milk protein intrinsically labeled with L-[1-13C]-phenylalanine and L-[1-13C]-leucine" and "randomized controlled laboratory trial".

Why, and the source

Trommelen et al. (2023) gave 36 men a drink of 0, 25 or 100 grams of milk protein right after one workout, in the laboratory. It measured whole-body protein breakdown and markers of muscle autophagy, not muscle breakdown rates. The drink's protein was labelled with carbon-13; the deuterium tracer was infused into a vein. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Two Shorts told a 12-hour daytime lab measurement as what happens in your body overnight

ShortFasting Didn’t Touch the Muscle. It Burned the Fat. ShortThe Wrong Number in Every Post-Gym Drinking Calculation

What it said

The fasting Short's audio said that at hour twelve "Your muscles were still receiving building material from a meal you finished the night before". The rest-day drinking Short said rebuilding "just keeps going silently, all evening, into the night".

What it says now

The fasting Short says "Here's what a lab study found at hour twelve" and "After a dose that big, the muscles were still receiving building material twelve hours on". The drinking Short says "It just keeps going silently".

Why, and the source

In Trommelen et al. (2023) participants arrived at the laboratory at about 07:45 after an overnight fast. After two catheters, a baseline blood sample, 90 minutes of rest and a 60-minute workout they drank the protein, no earlier than about 10:15, and were measured for the next 12 hours, from the late morning to late in the evening. Nothing was measured at night or during sleep. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 3)

Rest-day protein Short: a one-drink trial was counted among the studies backing evenly spread protein

ShortProtein on Rest Days Isn’t for Recovery. It’s for Construction.

What it said

The Short said "direct measurements of muscle-building speed, distribution experiments, and a comprehensive review of the timing literature all converge: daily protein, spread evenly, is the primary emphasis for anyone who trains". The only direct measurement of muscle-building speed on the page is Trommelen et al. (2023).

What it says now

It says "a distribution experiment and a comprehensive review of the timing literature point the same way", and no longer counts the 12-hour trial among them.

Why, and the source

Trommelen et al. (2023) gave a single drink of 0, 25 or 100 grams of protein after one workout and compared no ways of spreading protein over a day. Its authors read their data the other way: the findings "provide evidence to support more flexibility in feeding patterns", and "Our data provide a mechanistic explanation for why larger but less frequent meals are a viable alternative to consuming smaller meals more frequently". Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Rule 31 skeptic pass (Q343) on the Q339 draft, against Mark's re-paste

The 12-hour result was for a 100-gram dose; after 25 grams the protein went into muscle mostly in the first four hours

ShortProtein Before Bed Builds Muscle. Probably Not for the Reason You Think. ShortSame Protein, Different Sleep, Different Muscle Building GuideProtein Intake: What 9 Studies Found (and What the Internet Added)

What it said

Pages told the 12-hour result as true of any protein meal or of training alone ("After a high-protein meal, the body keeps incorporating amino acids into muscle", "At least 12 hours", "runs for more than 12 hours post-exercise") and said the 25-gram group "peaked and stopped building within about five hours".

What it says now

They say the 12 hours followed a 100-gram drink after a workout, and that "After 25 grams, most of the incorporation happened in the first 4 hours".

Why, and the source

After 100 grams, incorporation of the drink's amino acids into muscle "increased linearly throughout the entire 12-h postprandial period"; after 25 grams it rose in the first 4 hours, "with little further increase during the subsequent 8-h period". The study's primary outcome, myofibrillar protein synthesis over 12 hours, still differed between the 25-gram dose and the placebo, so the 25-gram group did not stop building. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

Q332 (DOI check) and the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023)

How the 12-hour protein study, and the studies before it, measured was misdescribed

ShortProtein Before Bed Builds Muscle. Probably Not for the Reason You Think. GuideProtein Intake: What 9 Studies Found (and What the Internet Added) ShortOne Study Created the 3-Hour Protein Rule ShortSame Protein, Different Sleep, Different Muscle Building ShortProtein on Rest Days Isn’t for Recovery. It’s for Construction.

What it said

Pages said earlier studies "stopped measuring after three to five hours" or "after 3-4 hours", that before 2023 the signaling burst "was all anyone had measured", that the team "tracked it minute by minute", that it used "12-hour continuous sampling", that it was the "first study" to track protein beyond 6 hours or to separate signaling from synthesis, that its participants were "young trained men", and that biopsies were taken "at 0, 4, and 12 hours".

What it says now

They say the earlier dose studies "measured for six hours or less", describe "frequent blood and muscle sampling over 12 hours" with biopsies at 0, 4, 8 and 12 hours and "young recreationally active men", and no longer call the study the first of its kind.

Why, and the source

Trommelen et al. (2023) describe the earlier dose-response studies as having "relative short assessment periods (≤6 h)". Blood was sampled at intervals of 30 to 60 minutes and muscle at 0, 4, 8 and 12 hours, and synthesis was calculated "over 4-h intervals"; the participants were "healthy, recreationally active young men". The paper does not call itself the first study of either kind. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

Q332 (DOI check) and the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023)

Protein guide: grams of protein that ended up in muscle were told as grams of muscle built

GuideProtein Intake: What 9 Studies Found (and What the Internet Added)

What it said

The guide said "13% of 100 is 13 grams of muscle built" and "Nearly three times more total building", its chart was headed "Total Muscle Built", and a caption said the efficient dose "built less than a third as much muscle".

What it says now

It says "13 grams of protein built into muscle" and "Nearly three times more of the protein ended up in muscle", the chart is headed "Protein Built Into Muscle", and the caption says "about a third as much protein".

Why, and the source

Trommelen et al. (2023) measured how much of the drink's protein was incorporated into muscle protein: "13 g or 13% of the ingested protein" after 100 grams, and 18% of 25 grams (4.5 grams). That is protein built into muscle, not grams of muscle, and most of the muscle protein made in those hours came from the body's own amino acids (73% after 100 grams). Total muscle protein synthesis was about 20% to 40% higher with 100 grams, not three times. 4.5 grams is about a third of 13 grams, not less than a third. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

Q332 (DOI check) and the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023)

Two pages said the body used all of a 100-gram protein dose; the study found little was burned and much was still being absorbed

ShortProtein Before Bed Builds Muscle. Probably Not for the Reason You Think. GuideProtein Intake: What 9 Studies Found (and What the Internet Added)

What it said

The bedtime-protein Short said "When researchers watched for the full 12 hours, the body used essentially all of it" and, in its FAQ, "the body used essentially all of it for muscle protein synthesis"; the protein guide said "The evidence says nothing gets wasted".

What it says now

They say very little was burned for energy, that "13 of the 100 grams had been built into muscle" by the 12-hour mark, and that the body was still absorbing the dose when the measurements stopped.

Why, and the source

Oxidation rose only negligibly, but by 12 hours just 53% of the 100-gram dose had appeared in the circulation, and release "did not plateau"; "13 g or 13% of the ingested protein" was incorporated into muscle. The study shows the protein was not burned, not that all of it was used, or used to build muscle, within 12 hours. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

Q332 (DOI check) and the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023)

Trommelen et al. 2023 was cited with DOIs that do not exist and with titles it does not have

ShortProtein Before Bed Builds Muscle. Probably Not for the Reason You Think. ShortSame Protein, Different Sleep, Different Muscle Building ShortOne Study Created the 3-Hour Protein Rule ShortProtein on Rest Days Isn’t for Recovery. It’s for Construction. GuideProtein Intake: What 9 Studies Found (and What the Internet Added) ShortMuscle Building Isn’t Confined to Sleep. Losing Sleep Slows It.

What it said

Five pages gave the paper DOIs that do not exist (10.1016/j.xcrm.2023.100322, 10.1016/j.xcrm.2023.100851, 10.1016/j.xcrm.2023.100893 and 10.1016/j.xcrm.2023.101322), and four cited it under shortened or invented titles ("Extended anabolic response to protein ingestion", "100g protein extends MPS beyond 12 hours", "Comprehensive assessment of post-exercise muscle protein synthesis rates after ingestion of a protein-dense food", and the title cut off after "recovery from exercise").

What it says now

Every citation gives the DOI 10.1016/j.xcrm.2023.101324 and the full title, "The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans".

Why, and the source

The paper, published in Cell Reports Medicine (2023;4(12):101324), prints its DOI as 10.1016/j.xcrm.2023.101324 and that title. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

Q332 (DOI check) and the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023)

Meal-spacing Short: what the 12-hour protein trial measured was misdescribed

ShortOne Study Created the 3-Hour Protein Rule

What it said

The Short said "more than half was still being released into circulation at twelve hours", that "The signaling markers went quiet within four hours", and that the trial "used milk protein concentrate in rested state".

What it says now

It says "only 53% had reached the circulation by twelve hours, and the release had not levelled off", that "by the first biopsy after the drink, four hours in" the signaling markers showed no effect of the protein, and that the drink was given "after a single bout of whole-body resistance exercise".

Why, and the source

After 100 grams of protein, 26%, 44% and 53% of the protein's amino acids had appeared in the circulation over 4, 8 and 12 hours: cumulative amounts, with release that "did not plateau". The authors "did not observe any impact of protein feeding on muscle protein signaling" in the biopsies taken 4, 8 and 12 hours after the drink, and cite earlier work for a signaling response under four hours. The drink was given "following a single bout of resistance-type exercise". Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

Q332 (DOI check) and the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023)

Rest-day protein Short: a gap between two doses was told as muscle building speeding up

ShortProtein on Rest Days Isn’t for Recovery. It’s for Construction.

What it said

The Short said that "four to twelve hours after the last rep, muscle building runs 40% faster than it did in the first four hours, and it was still accelerating at the twelve-hour mark", and that muscle protein synthesis "stays elevated for at least 24 hours". Its chart drew the hours 4-12 bar 40% longer than the first-4-hours bar, and its search and social titles said "40% Faster".

What it says now

It says that in hours 4 to 12 the 100-gram dose was about 40% ahead of the 25-gram dose, twice its lead in the first four hours, and that building was "still raised at the twelve-hour mark", when the measurements stopped. The 24-hour line, which the study did not measure, is gone, and the chart shows the two leads (about 20% and about 40%).

Why, and the source

Trommelen et al. (2023) report that myofibrillar protein synthesis rates were "only ∼20% higher during the early 0- to 4-h period but ∼40% higher during the subsequent 4- to 12- h period in 100PRO when compared to 25 PRO". Both figures compare two doses in the same window; neither compares a later window with an earlier one. The study measured 12 hours, not 24, and does not say the rate was still rising: it says several responses "did not return to baseline values at the end of the 12-h assessment period". Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

Q332 (DOI check) and the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023)

Four Shorts placed a 12-hour daytime lab measurement overnight, during sleep

ShortProtein Before Bed Builds Muscle. Probably Not for the Reason You Think. ShortSame Protein, Different Sleep, Different Muscle Building ShortMuscle Building Isn’t Confined to Sleep. Losing Sleep Slows It. ShortProtein on Rest Days Isn’t for Recovery. It’s for Construction.

What it said

Four Shorts said the 12 hours that Trommelen et al. (2023) measured after a protein drink were the night: "the overnight window is when that building peaks", "Most of that construction happens while you're asleep", "The majority of that construction work happens during the hours you're asleep", "MPS runs overnight" and "That includes the overnight window". A chart on the bedtime-protein Short labelled the two measurement windows "Still awake" and "Asleep".

What it says now

The pages say the 12 hours ran in a laboratory "from the late morning to late in the evening, not overnight", and no longer say when muscle building peaks or that most of it happens during sleep. The chart's windows are labelled "Early window" and "Later window".

Why, and the source

Participants arrived at the laboratory at about 07:45 after an overnight fast. Two catheters were placed and a baseline blood sample taken; after 90 minutes of rest they did a 60-minute workout and then drank the protein, so the drink came no earlier than about 10:15. Blood was sampled up to 720 minutes later and muscle at 4, 8 and 12 hours. The 12 hours therefore ran from the late morning to late in the evening, in the laboratory. The study did not measure sleep or the night. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

Q332 (DOI check) and the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023)

Trommelen et al. 2023 was cited under shortened titles on four more Shorts

Short1g of Protein Per Pound Is 36% Past Where the Gains Stop ShortThe 30-30-30 Rule, Tested One Number at a Time Short72 Studies Couldn’t Make Protein Timing Matter. One Bad Night Cost 18%. ShortWhey vs Casein for Muscle: Fast vs Slow Isn’t the Question

What it said

Four Shorts cited the paper as "Anabolic Response to Protein Ingestion during Recovery from Exercise" or "The anabolic response to protein ingestion has no upper limit in magnitude and duration", or cut its title off after "has no upper limit".

What it says now

Every citation gives the full title, "The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans".

Why, and the source

That is the title the paper prints (Cell Rep Med. 2023;4(12):101324). Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

How much of a 100-gram protein dose had reached the blood was misstated on two Shorts

ShortThe Post-Workout Protein Window Was Never About Timing ShortThe 30g Protein Limit Was a Measurement Error

What it said

The anabolic-window Short said "More than half the protein had not even been fully processed by that point" (12 hours) and spoke of "more than half still being absorbed at the 12-hour mark"; the 30g-myth Short said that at hour 5 "only 35% had entered the bloodstream".

What it says now

They say "Only 53% of the protein had even reached the bloodstream by that point" and that at hour 4 "only 26% had entered the bloodstream".

Why, and the source

After 100 grams, release into the circulation "did not plateau, with 26%, 44%, and 53% of the ingested-protein-derived amino acids appearing over 4, 8, and 12 h". These are cumulative amounts: 53% had appeared by 12 hours, so less than half had not. The paper's text gives no figure for hour 5. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

Two pages said the study saw muscle signals switch off within four hours; it saw no effect of protein on them

ClaimIs There a Limit to How Much Protein Your Body Can Use Per Meal? ShortYour Muscles Are Still Building When You Start Drinking

What it said

The per-meal claim's evidence table said "muscle protein signaling (mTOR) switched off within 4 hours"; the alcohol Short said the signals "shut off within about four hours" and, in its audio, "go quiet within about four hours".

What it says now

The claim says "the study saw no effect of protein feeding on muscle protein signaling (mTOR) in biopsies at 4, 8 and 12 hours", and the Short says the signals "had already faded by the first biopsy, four hours in".

Why, and the source

Trommelen et al. (2023) "did not observe any impact of protein feeding on muscle protein signaling or muscle gene expression" in biopsies taken 4, 8 and 12 hours after the drink, and cite earlier work suggesting the molecular response "is short lived (<4 h)". The authors still conclude that "the postprandial increase in anabolic myocellular signaling was transient"; the four-hour figure is that earlier work's, not a measurement of this study. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

Four pages gave an under-15% oxidation figure as this study's result; the authors computed it from earlier studies

ShortThe 30g Protein Limit Was a Measurement Error ClaimIs There a Limit to How Much Protein Your Body Can Use Per Meal? ClaimDoes Spreading Protein Across Meals Build More Muscle? Short1g of Protein Per Pound Is 36% Past Where the Gains Stop

What it said

Pages said "Less than 15% was burned off", "Less than 15 percent of the extra protein was oxidized", "with less than 15% burned for energy instead of building muscle" and "less than 15% of the increment", as findings of the 100-gram trial.

What it says now

They say "very little was burned for energy" because the rise in oxidation was negligible next to the rise in protein synthesis, and, where the figure stays, that "the authors put oxidation at under 15% of the extra protein eaten" when re-analysing earlier dose studies.

Why, and the source

In Trommelen et al. (2023), oxidation rose after 25 and 100 grams, but "the concurrent increase in amino acid oxidation rates was negligible when compared to the whole-body protein synthetic response". The under-15% figure comes from the authors re-expressing the oxidation rates of earlier dose-response studies relative to protein intake: "This revealed that postprandial amino acid oxidation rates represent a relative minor metabolic fate (<15% of the increment in ingested protein)". The conclusion that little protein is burned holds; the number was attributed to the wrong data. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

Whey-vs-casein Short: the authors' view on fast proteins was told as something the study tested

ShortWhey vs Casein for Muscle: Fast vs Slow Isn’t the Question

What it said

The Short said the long build "happens regardless of how fast the protein digests" and that it "shows up no matter how fast the protein digests".

What it says now

It says "Feed someone a large dose of milk protein, which is mostly casein" and that "The authors expect the long build to hold for fast proteins too".

Why, and the source

Trommelen et al. (2023) gave milk protein, which "consists of 20% rapid digestible whey protein and 80% slowly digestible casein protein". It did not compare fast and slow proteins; drawing on other work, the authors judge the responses "unlikely to be restricted to more slowly digestible proteins". Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

Two pages told grams of a drink's protein built into muscle as grams of muscle built

ShortThe 30g Protein Limit Was a Measurement Error ClaimIs There a Limit to How Much Protein Your Body Can Use Per Meal?

What it said

The 30g-myth Short said "Nearly three times more actual muscle built" and "triple the total output"; the per-meal claim said "Nearly three times more muscle built from the" less efficient meal and "13 grams of muscle built".

What it says now

They say "Nearly three times as much of the drink's protein ended up in muscle" and "13 grams of protein built into muscle", and the Short adds that "overall muscle building ran about 20% to 40% higher with the big dose".

Why, and the source

Trommelen et al. (2023) measured how much of the drink's protein was incorporated into muscle protein: "13 g or 13% of the ingested protein" after 100 grams, and 18% of 25 grams. Most of the protein muscle built in those hours came from the body's own amino acids (73% after 100 grams), and myofibrillar protein synthesis was "only ∼20% higher during the early 0- to 4-h period but ∼40% higher during the subsequent 4- to 12- h period" with 100 grams than with 25 grams. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

How the 12-hour protein study, and the dose studies before it, measured was misdescribed on four more pages

ShortThe 30g Protein Limit Was a Measurement Error ClaimIs There a Limit to How Much Protein Your Body Can Use Per Meal? Short72 Studies Couldn’t Make Protein Timing Matter. One Bad Night Cost 18%. ShortYour Muscles Are Still Building When You Start Drinking

What it said

Pages said the earlier studies "tracked protein absorption for 3 to 5 hours" and "concluded the body maxes out around 30 grams", that "They measured for three to five hours", that "The supposed 30-minute post-workout window was never measured", and that the 2023 team "tracked every gram" in "36 men either 25 grams or 100 grams" who were "young, trained men". The claim said it "was tested in young men with whey protein", and the alcohol Short named the tracer "L-[ring-13C6]-phenylalanine".

What it says now

They say the earlier dose studies "measured for six hours or less" and "found that more than 20 to 25 grams added nothing to muscle building after a workout", that the team "followed the drink's protein with isotope tracers" in men given "0, 25 or 100 grams of milk protein (12 men per dose)", that the men were "young, recreationally active men", that it "was tested in young men with milk and whey protein", and name the tracer "L-[2H5]-phenylalanine".

Why, and the source

Trommelen et al. (2023) describe the dose studies behind the per-meal limit as having tested "moderate amounts of protein (≤45 g) over relatively short durations (≤6 h)", and report that they found "20–25 g protein is sufficient to maximize postexercise muscle protein synthesis rates". The 2023 trial randomised 36 "healthy, recreationally active young men", 12 per group, to 0, 25 or 100 g of milk protein concentrate, and used L-[2H5]-phenylalanine and L-[1-13C]-leucine tracers. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

Three pages said the body uses every gram of a big protein dose; the study found little was burned and much was still being absorbed

ClaimIs There a Limit to How Much Protein Your Body Can Use Per Meal? ClaimDoes Spreading Protein Across Meals Build More Muscle? Short1g of Protein Per Pound Is 36% Past Where the Gains Stop

What it said

Pages said "your body uses every gram", "The evidence shows your body processes all of it", "Nothing is wasted", "Two large meals process and use all their protein — nothing is lost" and "Your body uses every gram."

What it says now

They say "very little is burned for energy", "The evidence shows your body puts it to use" and "A big serving isn't simply burned off", and the 1g-per-pound Short answers whether excess protein is wasted with "Not from a single big serving".

Why, and the source

Trommelen et al. (2023) found protein ingestion had "a negligible impact on whole-body protein breakdown rates or amino acid oxidation rates", and the authors write that even very large amounts of protein "are effectively utilized ... but require a more prolonged period". By 12 hours only 53% of the 100-gram dose had appeared in the circulation, and 13 grams had been built into muscle protein: the study shows the protein was not burned, not that every gram was used. It gave single doses, and its authors add that "it could be speculated that amino acid oxidation may increase in response to frequent, prolonged episodes of hyperaminoacidemia". Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

The 12-hour result was for a 100-gram dose; five pages told it as true of any serving and said 25 grams was done by hour 5

ShortThe 30g Protein Limit Was a Measurement Error ClaimIs There a Limit to How Much Protein Your Body Can Use Per Meal? ShortThe 30-30-30 Rule, Tested One Number at a Time ShortYour Muscles Are Still Building When You Start Drinking Short72 Studies Couldn’t Make Protein Timing Matter. One Bad Night Cost 18%.

What it said

Pages said the 25-gram dose was "Fully absorbed by hour 5" and that "The 25-gram group was done in about five hours", that "Muscle tissue processes protein over twelve or more hours regardless of when it arrives", that "A single protein serving keeps triggering muscle synthesis" for over 12 hours, that "The rebuilding window it disrupts extends more than twelve hours", and that a body that took 100 grams "wasn't even close to capacity at 50".

What it says now

They say that after 25 grams "most of the protein that reached muscle got there in the first 4 hours", that "A single large dose of protein after a workout — 100 grams — kept muscle synthesis raised for" over 12 hours, and that "After a large protein dose, the rebuilding window it disrupts ran more than twelve hours".

Why, and the source

In Trommelen et al. (2023), the response lasting more than 12 hours followed a 100-gram drink. After 25 grams, plasma amino acids were higher than with placebo "during the first 5 h", protein from the drink was built into muscle mostly "in the first 4 h ... with little further increase during the subsequent 8-h period", and its release into the blood went on to 66% at 12 hours, so the 25-gram dose was not "fully absorbed" by hour 5. The study found no upper limit up to 100 grams; it did not measure a capacity. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

Alcohol-after-training Short: a daytime lab measurement was said to run into sleep

ShortYour Muscles Are Still Building When You Start Drinking

What it said

The Short said muscle building after a workout and protein ran "through the afternoon, through dinner, through the evening, and into sleep", and its audio said "into the night".

What it says now

It says the synthesis "ran in the lab from the late morning to late in the evening, when the measurements stopped".

Why, and the source

In Trommelen et al. (2023), participants arrived at the laboratory at about 07:45 after an overnight fast, did a 60-minute workout and then drank the protein; blood was sampled up to 720 minutes later. The 12 hours therefore ran from the late morning to late in the evening, in the laboratory. The study did not measure sleep or the night. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

30-30-30 Short: a post-workout protein trial was told as a test of protein timing after waking

ShortThe 30-30-30 Rule, Tested One Number at a Time

What it said

The Short said "Breakfast timing, fasted walking, and morning protein all produced neutral results for body composition", that the half-hour waking window "qualifier adds nothing", and its chart read "Window doesn't".

What it says now

It says "The protein trial behind the third tested the dose after a workout, not the timing after waking", and the chart reads "Window untested".

Why, and the source

Trommelen et al. (2023) gave one drink of 0, 25 or 100 grams of protein right after a single workout. It tested no timing after waking, no 30-minute window and no body composition. Its authors say the findings "provide evidence to support more flexibility in feeding patterns". Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

1g-per-pound Short: the study was said to show extra protein going to repair and immune function instead of muscle

Short1g of Protein Per Pound Is 36% Past Where the Gains Stop

What it said

The Short said "the protein gets used for repair, replacement, immune function", and its For Researchers box that excess protein is "channeled toward processes other than additional myofibrillar protein synthesis".

What it says now

It says "The amino acids are taken up into tissues and built into protein" and "Myofibrillar protein synthesis was higher after 100 g than after 25 g".

Why, and the source

Trommelen et al. (2023) measured protein going into muscle, muscle connective tissue and plasma protein and whole-body synthesis; it reports nothing on repair or immune function. Its 100-gram dose raised myofibrillar protein synthesis above the 25-gram dose ("100PRO > 25PRO > 0PRO"). It gave single doses and did not test daily intakes. Source: Trommelen J, van Lieshout GAA, Nyakayiru J, Holwerda AM, Smeets JSJ, Hendriks FK, van Kranenburg JMX, Zorenc AH, Senden JM, Goessens JPB, Gijsen AP, van Loon LJC. The anabolic response to protein ingestion during recovery from exercise has no upper limit in magnitude and duration in vivo in humans. Cell Rep Med. 2023;4(12):101324.

Found by

the Q339 full reads against Mark's re-paste (Rule 30 sweep of Trommelen et al. 2023, batch 2)

Hall 2019 study page: protein's share of the extra calories was told as "roughly half"; the authors gave a ceiling

StudyHall 2019 UPF Study: 508 Hidden Calories Nobody Tasted

What it said

The study page said protein leverage "could explain roughly" half of the extra calories, and its summary for AI tools said it "may explain roughly half"; the audio said "About half of those five hundred extra calories".

What it says now

It says the authors calculated that protein leverage could explain "at most about half" of the 508-calorie gap, assuming perfect leverage.

Why, and the source

The authors: "we calculated that protein leverage could potentially explain at most ∼50% of the observed energy intake differences between the diets, assuming perfect leverage." That is an upper limit under an assumption, not an estimate of half. Source: Hall KD, Ayuketah A, Brychta R, et al. Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake. Cell Metab. 2019;30(1):67-77.e3.

Found by

Q334, reading the lines that carried the 500 figure against the paper

Hall 2019 study page: the cost gap was turned around ("42% cheaper")

StudyHall 2019 UPF Study: 508 Hidden Calories Nobody Tasted

What it said

The study page's summary for AI tools said the ultra-processed option "is 42% cheaper" and that the ultra-processed diet "costs 42% less than the unprocessed alternative".

What it says now

It says the unprocessed option cost 42% more, and the ultra-processed diet "cost about 30% less than the unprocessed alternative".

Why, and the source

The paper estimated the weekly cost of 2,000 kcal a day at $106 for the ultra-processed meals and $151 for the unprocessed meals. $151 is 42% more than $106, but $106 is about 30% less than $151. Source: Hall KD, Ayuketah A, Brychta R, et al. Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake. Cell Metab. 2019;30(1):67-77.e3.

Found by

Q334, reading the lines that carried the 500 figure against the paper

Exercise selection and regional growth: the claim's certainty assessment rested on an error and is lowered (Moderate Certainty unchanged)

ClaimDoes It Matter Which Exercise You Pick for Muscle Growth?

What it said

The claim was rated Moderate Certainty. Its reasoning called the direction "cross-validated across muscle groups from independent teams" and added a cross-muscle convergence bonus.

What it says now

The bonus is removed and its certainty is lowered; it stays Moderate Certainty.

Why, and the source

The bonus counted the calf result as an independent replication, but it comes from the same study as the quadriceps result, only one of the three calf muscles showed a clear result, and the authors drew the opposite programming conclusion for the calves. The claim pipeline's scoring rules list no such bonus. Without it, the certainty is lower, still within Moderate Certainty. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the two claims drafted in Q248, 2026-10-07

Partial-reps Short: a two-review verdict was described as resting on a large evidence base

ShortTwo Kinds of Partial Rep. Opposite Results.

What it said

The Short rated the stand's range-of-motion verdict for strength "HIGH for strength finding (institutional authority, large evidence base)".

What it says now

It rates it moderate and gives its basis: 2 reviews, n = 1,262, a quality-of-evidence score of 50%.

Why, and the source

Currier et al. 2026, Table 4: range of motion, strength, 2 reviews (n = 1,262, QoE 50%). Source: Currier BS, D'Souza AC, Fiatarone Singh MA, Lowisz CV, Rawson ES, Schoenfeld BJ, Smith-Ryan AE, Steen JP, Thomas GA, Triplett NT, Washington TA, Werner TJ, Phillips SM. American College of Sports Medicine Position Stand. Resistance Training Prescription for Muscle Function, Hypertrophy, and Physical Performance in Healthy Adults: An Overview of Reviews. Med Sci Sports Exerc. 2026;58(4):851-872.

Found by

Rule 30 sweep of the six Q275 sources (Q303, 2026-10-08): every page citing the 2026 ACSM position stand read in full against the stand as Mark pasted it

Exercises-per-muscle Short: the ACSM position stand's volume finding was misdescribed

ShortYour Muscles Don’t Count Exercises. They Count Angles.

What it said

The Short's For Researchers said "ACSM 2026 guidelines (~10 sets/muscle/week, 2x/week) confirm Pelland volume findings but add no new data beyond the meta-regression."

What it says now

It says the stand lists higher volume, at least 10 sets per muscle group per week, as one of the two variables that enhanced growth, from its own set of reviews, and cites Pelland et al. only in its discussion, as showing diminishing returns beyond about 18-20 weekly sets.

Why, and the source

Currier et al. 2026 base their volume verdict on their references 24, 91, 128 and 130-133; Pelland et al. (reference 187) appears once, in the discussion. Source: Currier BS, D'Souza AC, Fiatarone Singh MA, Lowisz CV, Rawson ES, Schoenfeld BJ, Smith-Ryan AE, Steen JP, Thomas GA, Triplett NT, Washington TA, Werner TJ, Phillips SM. American College of Sports Medicine Position Stand. Resistance Training Prescription for Muscle Function, Hypertrophy, and Physical Performance in Healthy Adults: An Overview of Reviews. Med Sci Sports Exerc. 2026;58(4):851-872.

Found by

Rule 30 sweep of the six Q275 sources (Q303, 2026-10-08): every page citing the 2026 ACSM position stand read in full against the stand as Mark pasted it

Bands Short: the ACSM position stand was credited with showing bands build as much muscle as free weights

ShortResistance Bands and Barbells Build the Same Muscle

What it said

The Short's takeaway, credited to "Currier et al. 2026", said "Resistance bands produce comparable muscle hypertrophy to free weights when training is performed close to failure", its search title read "Resistance Bands Build as Much Muscle as Weights (ACSM 2026)", its evidence said "The ACSM 2026 makes no distinction between equipment types for hypertrophy outcomes" with "combined n > 369", and its For Researchers said the ACSM "does not directly address whether ascending vs constant resistance profiles produce different hypertrophy outcomes".

What it says now

It says the stand found band training increased muscle size and strength compared with no training, that equipment type did not consistently change outcomes, and that altering the load within a repetition did not change muscle growth in the one review that tested it; that no review it reports compared bands with free weights for muscle growth, and its one band-versus-standard comparison, on function, favoured standard training; and that the two match is FitChef's reading of the load research.

Why, and the source

Currier et al. 2026 compare elastic band training with no exercise (Table 3: hypertrophy, 1 review positive, n = 236, and 1 that could not determine, n = 133), list equipment type among the variables that did not consistently impact outcomes, report that variable load (altering load mid-repetition) did not affect hypertrophy (1 review, n = 408), could not determine whether machines and free weights differ for hypertrophy, and report that standard training enhanced multicomponent function compared with elastic band training. Source: Currier BS, D'Souza AC, Fiatarone Singh MA, Lowisz CV, Rawson ES, Schoenfeld BJ, Smith-Ryan AE, Steen JP, Thomas GA, Triplett NT, Washington TA, Werner TJ, Phillips SM. American College of Sports Medicine Position Stand. Resistance Training Prescription for Muscle Function, Hypertrophy, and Physical Performance in Healthy Adults: An Overview of Reviews. Med Sci Sports Exerc. 2026;58(4):851-872.

Found by

Rule 30 sweep of the six Q275 sources (Q303, 2026-10-08): every page citing the 2026 ACSM position stand read in full against the stand as Mark pasted it

Low-reps Short: power training was told as the only thing that improved walking, balance and function after 60

ShortThe Rep Range Debate Has Three Answers After 60

What it said

The Short said power, "moderate loads moved at high velocity", "is the only variable shown to enhance walking performance, balance, and multicomponent physical function in older adults", that "gait speed, the ability to rise from a chair, coordination across movements" "responded only to the training variable almost nobody is doing", that "Standard heavy and light training did not enhance these outcomes", that stopping "two to three reps short" "produced the same results with a cleaner injury margin", that "Across more than 38,000 studied participants, resistance training did not increase serious adverse events", and that the stand covered ">11,000 older adults" with "Quality of evidence: high".

What it says now

It says that, compared with standard training, power training (lifting as fast as possible) was the only variable that enhanced walking performance and the Short Physical Performance Battery and that it also enhanced combined function scores, in reviews of older adults; that standard training improved gait speed, balance and rising from a chair compared with doing nothing, and whether power training does better there could not be determined; that moderate loads of 30-70% build muscle power itself; that the 2-3 reps-short target is the authors' proposal; that the 38,000-participant safety analysis, with over 11,000 older adults, is one the stand cites, of exercise in general; and it gives the stand's own quality percentages.

Why, and the source

Currier et al. 2026 report that walking performance and the SPPB were enhanced only by power training compared with standard training, and multicomponent function by power training (and by standard compared with elastic band training); that, against no exercise, standard training improved gait speed, balance, chair stand and timed up-and-go; and that for those there were insufficient data, or none for balance, to compare power with standard training. Power training is a technique (lifting phase at maximal speed); 30-70% loads enhanced the power outcome. The authors propose near-failure or 2-3 repetitions in reserve and say exact targets cannot yet be quantified. The 38,000-participant analysis is Niemeijer et al., cited in their discussion. Their reviews were not separated by age. Source: Currier BS, D'Souza AC, Fiatarone Singh MA, Lowisz CV, Rawson ES, Schoenfeld BJ, Smith-Ryan AE, Steen JP, Thomas GA, Triplett NT, Washington TA, Werner TJ, Phillips SM. American College of Sports Medicine Position Stand. Resistance Training Prescription for Muscle Function, Hypertrophy, and Physical Performance in Healthy Adults: An Overview of Reviews. Med Sci Sports Exerc. 2026;58(4):851-872.

Found by

Rule 30 sweep of the six Q275 sources (Q303, 2026-10-08): every page citing the 2026 ACSM position stand read in full against the stand as Mark pasted it

Two Shorts: the ACSM position stand was told as independent support for the meta-analyses it is partly built on

ShortThe Chest Exercise Hierarchy That Never Existed ShortWhat ‘Toning’ Actually Means at the Muscle Level

What it said

The machines Short's For Researchers gave the stand as "Institutional support" for its meta-analysis. The toning Short's gave it as "Institutional confirmation" and said it "Confirms hypertrophy is not meaningfully changed by load when effort is sufficient", calling it the "first update in 17 years".

What it says now

Each says the stand counts the Short's own meta-analysis among its reviews, so the agreement is not independent: on equipment, it found no effect on strength and could not determine one for growth; on load, loads from 30% to 100% of 1RM did not change growth, and the authors separately propose that sets need sufficient effort. The update is named as the first of the ACSM's 2009 resistance training stand.

Why, and the source

Currier et al. 2026 list Haugen et al. 2023 (their reference 100) as the one review behind their machine-versus-free-weight verdicts (strength not affected; hypertrophy could not be determined) and Schoenfeld et al. 2017 (reference 83) among the reviews behind their load verdict for hypertrophy. They do not tie the load verdict to effort. Source: Currier BS, D'Souza AC, Fiatarone Singh MA, Lowisz CV, Rawson ES, Schoenfeld BJ, Smith-Ryan AE, Steen JP, Thomas GA, Triplett NT, Washington TA, Werner TJ, Phillips SM. American College of Sports Medicine Position Stand. Resistance Training Prescription for Muscle Function, Hypertrophy, and Physical Performance in Healthy Adults: An Overview of Reviews. Med Sci Sports Exerc. 2026;58(4):851-872.

Found by

Rule 30 sweep of the six Q275 sources (Q303, 2026-10-08): every page citing the 2026 ACSM position stand read in full against the stand as Mark pasted it

Five Shorts: two reviews were cited with shortened titles, misordered authors or a wrong PubMed number

ShortEvery Rep Range Builds the Same Muscle ShortThe Rep Range Debate Has Three Answers After 60 ShortResistance Bands and Barbells Build the Same Muscle ShortTwo Kinds of Partial Rep. Opposite Results. ShortPush-Ups vs Bench Press: Your Push-Up Has a Weight, and It Was Measured

What it said

The 2026 ACSM position stand was cited as "ACSM Position Stand: Resistance Training Prescription" and under other shortened titles, with authors as "Currier, Phillips, Schoenfeld et al." and "Singh MAF", and with "PMC12965823" as its PubMed number. A 2023 meta-analysis was cited as "Electromyographic Activity of the Pectoralis Major Muscle during Traditional Bench Press and Other Variants (Appl Sci)".

What it says now

Both are cited by their full titles, the stand's authors in order from Currier (first) and Fiatarone Singh (third), with PMID 41843416.

Why, and the source

The titles had been shortened and the author order rearranged rather than copied: the stand's title is "American College of Sports Medicine Position Stand. Resistance Training Prescription for Muscle Function, Hypertrophy, and Physical Performance in Healthy Adults: An Overview of Reviews", with Phillips last of 13 authors; PMC12965823 is its PubMed Central number. The meta-analysis is López-Vivancos et al. 2023, "... and Other Variants of Pectoral Exercises: A Systematic Review and Meta-Analysis", Appl. Sci. 13, 5203. Source: Currier BS, D'Souza AC, Fiatarone Singh MA, Lowisz CV, Rawson ES, Schoenfeld BJ, Smith-Ryan AE, Steen JP, Thomas GA, Triplett NT, Washington TA, Werner TJ, Phillips SM. American College of Sports Medicine Position Stand. Resistance Training Prescription for Muscle Function, Hypertrophy, and Physical Performance in Healthy Adults: An Overview of Reviews. Med Sci Sports Exerc. 2026;58(4):851-872.

Found by

Rule 30 sweep of the six Q275 sources (Q303, 2026-10-08): every page citing the 2026 ACSM position stand read in full against the stand as Mark pasted it

Rep-range Short: the 2009 ACSM advice was told as the rule for everyone, with an evidence label the stand does not use

ShortEvery Rep Range Builds the Same Muscle

What it said

The Short said the 2009 American College of Sports Medicine position stand gave its "official recommendation for muscle growth" as 8 to 12 repetitions at 70 to 85 percent, "backed by what the authors called the strongest available evidence", in "the most authoritative document the field produces"; that "Personal training certifications adopted the range"; and, in its audio, "Step outside and you're training something else", "The window was narrow because the evidence, at the time, seemed narrow" and that the range "turned out to be arbitrary".

What it says now

It says the 2009 stand recommended 8 to 12 repetitions at 70 to 85 percent of the one-rep maximum, for one to three sets, to beginners and intermediate lifters, with the top grade of its four-step evidence scale; that the same stand gave advanced lifters 1 to 12 repetitions at 70 to 100 percent, mostly at 6 to 12, and opened its section on loading for muscle growth by saying a variety of training styles had been shown to increase it. The claims about certifications, gym apps and templates are gone.

Why, and the source

The 2009 ACSM position stand (Ratamess et al.) recommends 70-85% of 1 RM for 8-12 repetitions, one to three sets, for novice and intermediate individuals (evidence category A, defined as randomized controlled trials with a rich body of data) and 70-100% of 1 RM for 1-12 repetitions, mostly 6-12 RM, for advanced training. It grades its recommendations A to D and does not use the words "strongest available evidence"; its loading section for hypertrophy opens: "A variety of styles of training have been shown to increase hypertrophy in men and women." No source on the page describes certifications, apps or templates. Source: Ratamess NA, Alvar BA, Evetoch TK, Housh TJ, Kibler WB, Kraemer WJ, Triplett NT (written for the American College of Sports Medicine). Progression Models in Resistance Training for Healthy Adults. Position Stand. Med Sci Sports Exerc. 2009;41(3):687-708.

Found by

Rule 30 sweep of the 2009 ACSM position stand (Q307, 2026-10-09): every page citing it or repeating its 8-12 rep advice, read against the full stand as Mark uploaded it

Rep-range Short: the 2026 ACSM position stand was told as a unanimous reversal that rated effort a growth enhancer

ShortEvery Rep Range Builds the Same Muscle

What it said

The Short said that in "April 2026" the organisation "published its first update in seventeen years" and "The recommendation reversed entirely", that the load verdict was "Eight reviews covering 5,340 people, one direction", that "For older adults specifically, the load-independence finding held" with "moderate loads moved at high velocity" the "only variable that enhanced walking performance and physical function" after 60, and, in its audio, that "Two things earned a hypertrophy enhancement rating in that same review: volume" and "effort". It called the ACSM "the governing body of exercise science" and "the largest exercise science organization in the world".

What it says now

It says the 2026 stand, the first update of the 2009 one, found that loads from 30% to 100% of a one-rep max did not change muscle growth; that 8 of its 10 reviews on load found no effect, one an effect and one could not tell, with the 2017 meta-analysis on the page among them; that the two variables that enhanced growth were volume and eccentric overload, with training to failure not one of them; and that, compared with standard training, power training was the only variable that enhanced walking performance, in reviews of older adults. It names the organisation.

Why, and the source

Currier et al. 2026, the ACSM position stand, report that loads from 30% to 100% 1RM did not influence hypertrophy (Table 4: 8 reviews no effect, 1 an effect, 1 could not determine), that hypertrophy was enhanced by eccentric overload and higher volume only, that training to failure did not enhance gains, and that walking performance was enhanced only by power training (lifting phase at maximal speed). The stand is dated 5 March 2026, did not separate its reviews by age, and does not describe the ACSM's size or standing. Source: Currier BS, D'Souza AC, Fiatarone Singh MA, Lowisz CV, Rawson ES, Schoenfeld BJ, Smith-Ryan AE, Steen JP, Thomas GA, Triplett NT, Washington TA, Werner TJ, Phillips SM. American College of Sports Medicine Position Stand. Resistance Training Prescription for Muscle Function, Hypertrophy, and Physical Performance in Healthy Adults: An Overview of Reviews. Med Sci Sports Exerc. 2026;58(4):851-872.

Found by

Rule 30 sweep of the six Q275 sources (Q303, 2026-10-08): every page citing the 2026 ACSM position stand read in full against the stand as Mark pasted it

Isolation against compound exercises: a quad study was described as squat against leg press by MRI, and stretched to a comparison it did not make

ClaimDo You Need Isolation Exercises If You Already Do Compound Movements?

What it said

The isolation claim described a study that put "squat and leg press head-to-head with MRI scans, measuring four quadriceps regions separately", said the two "produced opposite quadriceps growth patterns" with the "same total leg size", called this "a specific, MRI-measured answer", and used it to say that which exercise you pick "drives regional growth differences far more than whether you add isolation on top of compounds".

What it says now

It says the study compared leg press with leg extension, one exercise per leg in the same people, measured two quadriceps heads by ultrasound and no total, and found that each exercise grew a different head more; and that, because it compared a compound with an isolation exercise, it cannot show that picking the exercise matters more than adding isolation on top of compounds.

Why, and the source

Burke et al. compared the leg press with the leg extension, not the squat, with each participant training one exercise per leg. They measured muscle thickness by ultrasound at two of the four quadriceps heads, the rectus femoris and the vastus lateralis, and report no total quadriceps measure. Both exercises grew both heads, each one more. With one leg on a compound and the other on an isolation exercise, and no leg adding one to the other, the study cannot weigh the choice of exercise against adding isolation. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the two claims drafted in Q248, 2026-10-07

Exercise selection and regional growth: the role of training experience was overstated

ClaimDoes It Matter Which Exercise You Pick for Muscle Growth?

What it said

The regional growth claim said its finding came from lifters "with at least six months of experience", that "the targeting sharpens with adaptation" and "the precision sharpens with training experience", that Burke's team "attributed this to differences in motor pattern development and exercise stability", and that for beginners "most exercises stimulate growth broadly".

What it says now

It says the lifters had lifted at least three times a week for at least a year; that the study in beginners used a different exercise, a one-leg Smith machine squat, and Burke's team suggests, as speculation, that the sample, the exercise or both could explain the difference; and that whether the pattern differs in beginners is not settled.

Why, and the source

Burke et al. required participants to have lifted at least three times a week for at least the past year. They call the difference from Earp et al. speculative and potentially explained by the sample and the exercise, and say their findings cannot necessarily be generalized to untrained people while seeing no logical reason for results to differ. The same cause was corrected on the study page (record 2026-10-07-leg-press-leg-extension-training-status-overstated). Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the two claims drafted in Q248, 2026-10-07

Exercise selection and regional growth: several details of the leg study were wrong on a claim

ClaimDoes It Matter Which Exercise You Pick for Muscle Growth?

What it said

The regional growth claim said exercise choice "determines" where muscle grows, "a finding established by" the study, and that the movement pattern "is what drives regional growth"; that "the probability that this difference was real ranged from 91% to 99%"; that the design made the result "impossible to dismiss"; that the calf result was "not a small effect" but "a near-certainty", "even starker" than the quad result and "the strongest individual finding in the study"; that the same pattern showed up in the calves "from other research teams"; that "a row and a pulldown emphasize different lat regions"; that pilot EMG "verified exercise-specific activation patterns"; that the calf finding held up "with different statistical methods"; and that the belief that calves are genetic was one of the gym rules "the data didn't support".

What it says now

It says exercise choice can change where muscle grows, as the study showed for the quadriceps; that across the front-quad measurement sites the model put the probability at 91% to 99%; that the design makes the result hard to dismiss; that the authors class the effects as relatively modest and the calf evidence as weaker than the quad evidence, with the outer-quad results reaching 0.994; that the calf result came from the same study; that the pilot showed low calf activation during the leg press; and that the main calf result held up, at 92.5%, when the analysis was re-run on the legs that did leg extensions. It no longer makes a claim about the lats, and it says no study on the page tested genetics.

Why, and the source

Each detail was checked against Burke et al. in a full read of the claim and was wrong as written. The claim was written from our notes on the paper, and our checks compared it with those notes. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the two claims drafted in Q248, 2026-10-07

Exercise selection and regional growth: the quad result was told as equal total growth and as true of all compound lifts

ClaimDoes It Matter Which Exercise You Pick for Muscle Growth?

What it said

The regional growth claim said "total quad growth was similar" or "the same" on both legs, that "three of the four quad regions grew well with leg press alone", that compound-only training left the front quad at "roughly 53%" or "half its potential", that a single-joint exercise "addresses the region compounds miss", and that "one exercise can't cover both".

What it says now

It says the study measured two of the quad's four heads and no total; that both exercises grew both heads, each one more (the front quad 8.9% with extensions and 4.7% with leg press, the outer quad 8.7% with leg press and 2.9% with extensions); and that the leg press was the only compound tested, with the authors cautioning that the result may not carry over to squats, lunges or other leg press variations.

Why, and the source

Burke et al. measured the thickness of two of the four quadriceps heads, the rectus femoris and the vastus lateralis, and report no total quadriceps measure. Each exercise produced greater growth of one head, with both heads growing on both legs. The only multi-joint exercise was the incline leg press, and the authors say the results cannot necessarily be generalized to other multi-joint movements such as squats and lunges. The leg-extension result is a comparison, not a ceiling. The same error was corrected on the study page (record 2026-10-07-leg-press-leg-extension-quad-result-overstated). Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the two claims drafted in Q248, 2026-10-07

Exercise selection and regional growth: a quad conclusion was extended to every muscle, against the study's calf result

ClaimDoes It Matter Which Exercise You Pick for Muscle Growth?

What it said

The regional growth claim stated that "no single exercise fully develops a multi-headed muscle", and said the same pattern "appeared in every multi-headed muscle the researchers tested" and that for "any muscle with multiple heads" no single exercise does the whole job.

What it says now

It says one exercise may not be enough to fully develop the quadriceps, as the authors conclude it would seem, and that for the calves the same study concluded the opposite: the straight-leg exercise seemingly developed all three calf muscles, and any added benefit of the seated raise is unclear.

Why, and the source

Burke et al. reached opposite conclusions for the two muscle groups they studied: for the quadriceps, it would seem a combination of exercises is required; for the calves, the straight-leg toe press seemingly promotes complete development of the gastrocnemii and soleus. The same error was corrected on the study page (record 2026-10-07-leg-press-leg-extension-every-muscle-needs-several-exercises). Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the two claims drafted in Q248, 2026-10-07

Exercise selection and regional growth: the claim quoted the study in words the study does not use

ClaimDoes It Matter Which Exercise You Pick for Muscle Growth?

What it said

The claim's source quote read: "A combination of multi-joint and single-joint exercises appears necessary for complete quadriceps femoris development, as neither leg press nor leg extension alone produced optimal growth across all quad heads."

What it says now

It quotes the paper's own words: "it would seem that a combination of multi- and single-joint exercise is required to fully develop the QF" (the quadriceps femoris).

Why, and the source

The old quote does not appear in Burke et al.: it was composed from the authors' conclusion and presented as their words, and it adds a reason the paper does not give (the study measured two of the four quadriceps heads). A quote must be copied from the paper. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the two claims drafted in Q248, 2026-10-07

Exercise selection and regional growth: the calf exercises and the seated-raise result were misdescribed

ClaimDoes It Matter Which Exercise You Pick for Muscle Growth?

What it said

The regional growth claim called the straight-leg exercise "standing calf raises", said "the seated version primarily targets the soleus", so that years of seated raises sent the work "to a muscle that never shows" and were "training a different muscle entirely", and its calf chart showed seated raises reaching "the one you can’t" see.

What it says now

It says the straight-leg exercise was a toe press on a leg press machine with the knee straight; that it grew the main calf muscle (the medial gastrocnemius) more than the seated raise, with a 99.1% probability by the study's model; and that for the soleus the result was uncertain, leaning slightly toward the seated raise.

Why, and the source

In Burke et al. the straight-leg exercise was a toe press on a leg press machine, done seated with the knee straight, against a seated calf raise. The medial gastrocnemius grew more with the straight-leg exercise; the results for the lateral gastrocnemius and the soleus were equivocal, the soleus leaning slightly toward the bent-leg raise. The same error was corrected on the study page (record 2026-10-07-leg-press-leg-extension-calf-exercises-misdescribed). Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the two claims drafted in Q248, 2026-10-07

Daily protein: two overlapping meta-analyses counted as independent

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page called the 2022 meta-analysis of 74 trials "a separate research team" and an "Independent replication", counted "100+ unique RCTs and 4,500+ participants", and gave total participants as 4,528.

What it says now

The page says the 2022 analysis was by "a team that shared two of its authors", that the two analyses share trials ("more than 90 distinct RCTs" in all), and that there were "At least 2,665" participants.

Why, and the source

Nunes et al. 2022 lists Sean McKellar and Stuart Phillips, both authors of Morton et al. 2018, and calls that paper "a meta-analysis conducted by our group". Thirty of Morton's 49 included trials are among its 74, so the two hold about 93 distinct trials, and adding their participants counted the shared trials twice. Its lean-mass analysis used 2,665 participants. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Nunes EA, Colenso-Semple L, McKellar SR, et al. Systematic review and meta-analysis of protein intake to support muscle mass and function in healthy adults. J Cachexia Sarcopenia Muscle. 2022;13(2):795-810

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein: the origin of the 1 g/lb rule stated as fact, and older lab methods said to overestimate needs

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page stated as fact that the 1 gram per pound rule came from bodybuilders on performance-enhancing drugs "whose protein synthesis rates are measurably higher", said older lab methods "are now known to consistently overestimate" protein needs and that a nearly $30 billion supplement industry was "growing at 10 percent annually", and said Menno Henselmans debunked the rule "years before the definitive data existed" and "was literally on the team that proved it".

What it says now

The page gives these origins as reasons Henselmans offers as plausible, says the International Society of Sports Nutrition finds that nitrogen balance studies "systematically underestimate protein needs", gives Grand View Research's valuation of nearly $30 billion in 2025 with projected growth of about 10 percent a year to 2033, and says Henselmans's article cites the meta-analysis he co-authored and puts his own upper figure at 1.8 g/kg.

Why, and the source

Henselmans offers these as "some plausible grounds" for the rule, not findings, and gives no synthesis rates. The International Society of Sports Nutrition says the nitrogen balance technique "is known to systematically underestimate protein needs", and Greg Nuckols explains that the intake actually needed for nitrogen balance is higher than the technique suggests. Grand View Research gives 10.3% a year as a forecast for 2026 to 2033, not a measured rate. The article as saved cites the 2018 meta-analysis, so it cannot show it was written years before it. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Jäger R, Kerksick CM, Campbell BI, et al. International Society of Sports Nutrition Position Stand: protein and exercise. J Int Soc Sports Nutr. 2017;14:20

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein: the men's average intake (97 g) given as everyone's

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page said the average person "already eats 97 grams of protein per day", and that the gap to 130 grams was "one chicken breast".

What it says now

The page says that in US survey data men ate an average of 97 grams of protein a day and women 69 grams, so about 130 grams is "33 grams more than the men's average".

Why, and the source

The NHANES 2015-2016 data brief reports that "males consumed about one-third more protein than females (97 grams vs 69 grams, respectively)", from one day of dietary intake in 5,017 US adults. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Hoy MK, Clemens JC, Moshfegh AJ. Protein Intake of Adults in the U.S.: What We Eat in America, NHANES 2015-2016. Food Surveys Research Group Dietary Data Brief No. 29. January 2021

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein: the Dietary Guidelines said to align with the meta-analytic evidence

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page said "The 2026 Dietary Guidelines for Americans now recommend 1.2–1.6 g/kg, aligning with the meta-analytic evidence for the first time at the governmental level."

What it says now

The page says "The Dietary Guidelines for Americans 2025–2030 set a goal of 1.2–1.6 grams of protein per kilogram of body weight per day for the general public."

Why, and the source

The guidelines, titled 2025-2030 and dated January 2026, set "protein serving goals" of 1.2-1.6 g/kg a day, "adjusting as needed based on your individual caloric requirements". They cite no meta-analysis and say nothing about lifters or muscle growth. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Dietary Guidelines for Americans, 2025-2030. January 2026

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein: the daily total called "the variable", without the paper's limit to younger adults

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The evidence table said timing, dose and source play a "minor role" and "Daily total is the variable."

What it says now

The evidence table says timing, post-exercise dose and source play "a minor role, if any", and that daily intake was "more influential, at least for younger adults".

Why, and the source

Morton et al. 2018 write that timing, post-exercise dose and protein source "play a minor, if any, role", and that a daily intake of about 1.6 g/kg, split into doses of about 0.25 g/kg, "is more influential" on the gains from resistance training, "at least for younger individuals". The same misreading was corrected on three pages about this paper on 30 September 2026 (record 2026-09-30-three-pages-said-more-protein-types-were). The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein: the 91/9 strength split credited to all 49 trials and read as a share of the total

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page said that "Across all 49 trials" resistance training alone raised strength by 27 kg and that protein added 2.49 kg, "about 9 percent of the total".

What it says now

The page says that in the trials that tested one-rep max, training raised strength by 27 kg on average and a protein supplement added 2.49 kg on top, "about 9 percent more".

Why, and the source

In Morton et al. 2018, the one-rep max analysis pooled 28 studies, not all 49; the 27 kg is the average increase with training, and the 2.49 kg is 9% of it, not of the total. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein: superlatives the sources do not use

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page called the 2018 meta-analysis one of "the largest meta-analyses ever conducted on this question", called a tracer study's method "the most precise protein-tracking method available", and summed up the removed studies as "9 removed. Robust."

What it says now

The page says "What was then the largest meta-analysis", "a four-isotope tracer method", and that 9 studies were removed "(6 for risk of bias, 3 for publication bias)" without changing the lean-mass or strength results.

Why, and the source

Morton et al. 2018 call themselves the largest such meta-analysis "to date", in 2017, and the page itself cites a larger one from 2022. The tracer study describes its method as "a comprehensive quadruple isotope tracer feeding-infusion approach" and does not rank it against other methods. The meta-analysis removed nine studies, six on risk of bias and three on publication bias, and including them did not change its results. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein in a deficit: reasons and figures the sources do not give

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page said the ceiling "does not apply" in a calorie deficit, gave opposite reasons in two places (defending muscle "costs less" and "costs more" when calories are low), said dieting without exercise needs "at least 1.2 g/kg to protect muscle", said the 1.6 g/kg figure "was measured at maintenance calories", and said deficit recommendations scale "with leanness and deficit size".

What it says now

The page says the break point was never tested in a deficit, because every trial behind it included only people eating at or above their energy needs; that a review of 24 weight-loss trials found diets averaging about 1.25 g/kg kept more fat-free mass than diets around 0.7 g/kg; and that the International Society of Sports Nutrition says 2.3-3.1 g/kg may be needed by resistance-trained people cutting calories.

Why, and the source

Morton et al. 2018 accepted only trials in people who were "not energy-restricted". Wycherley et al. found that high-protein diets averaging 1.25 g/kg a day (range 1.07-1.60) reduced the loss of fat-free mass, not muscle as such, compared with about 0.72 g/kg, in trials that excluded a structured exercise programme. The International Society of Sports Nutrition's 2.3-3.1 g/kg for resistance-trained people cutting calories comes with no scale for leanness or deficit size, and none of the sources gives the reasons the page did. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein and women: 14 female-only groups misread as 14 of 49

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page said "only 14 of the 49 study groups" in the meta-analysis included only women, that the same ceiling applies to women, and that "The practical recommendation is the same".

What it says now

The page says 14 study groups across the 49 studies were all women, that the authors saw no overtly apparent sex differences on limited data, and that Greg Nuckols suspects women need about 10 to 15 percent less protein per kilogram of body weight.

Why, and the source

Morton et al. 2018 counted 14 study groups of only women across 49 studies, not 14 of 49 groups, and wrote: "Based on limited data we observed no overtly apparent sex-based differences but acknowledge that far less work has been done in women than men." The paper makes no recommendation for women, and the reanalysis the page cites suspects women's needs are about 10-15% lower per kilogram, because women tend to carry less fat-free mass at the same body weight. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein and age: a per-meal shift "after 40" the sources do not report

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page said that after 40 the daily total stays in "a similar range" while the per-meal threshold rises from about 25 to about 40 grams, and that the break point was derived "predominantly from young male participants".

What it says now

The page says older adults may need more protein per day, not a similar amount; that in one analysis of tracer studies at rest, the single-meal dose that pushed muscle protein synthesis to its peak was about 0.40 g/kg in men around 71 against 0.24 g/kg in men around 22; and that the break point came from "42 study arms (723 young and old participants)".

Why, and the source

Morton et al. 2018 write that "older adults require more protein per day" and describe the break point analysis as "42 study arms including 723 young and old participants". Moore et al. 2015 compared healthy men around 22 and around 71, measured at rest, and gave the per-meal plateau per kilogram of body weight: 0.24 and 0.40 g/kg. Neither paper splits people at 40. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Moore DR, Churchward-Venne TA, Witard O, et al. Protein ingestion to stimulate myofibrillar protein synthesis requires greater relative protein intakes in healthy older versus younger men. Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2015;70(1):57-62

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein: an uncertain break point presented as a settled ceiling that 1 g/lb overshoots

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page said three independent methods converge on a daily protein ceiling of 1.6 to 2.0 g/kg, that a larger meta-analysis "confirmed this ceiling", that "nobody landed above 2.0", and that the popular 1 gram per pound (2.2 g/kg) target "overshoots the evidence". It rated the evidence High Certainty (88).

What it says now

The page says the main estimate puts the point where extra protein stops adding lean mass at about 1.6 g/kg a day, but that the estimate did not reach statistical significance and its range runs up to 2.2 g/kg, so its authors suggest about 2.2 g/kg for those seeking maximum gains. So 1 gram per pound sits at the upper edge of that range, not beyond it. The evidence is rated Moderate Certainty (80).

Why, and the source

In Morton et al. 2018, the break point of 1.62 g/kg a day had a 95% confidence interval of 1.03 to 2.20 and was presented "despite not being statistically significant" (p = 0.079); the authors wrote that it "may be prudent to recommend ~2.2 g protein/kg/d" for those seeking maximum gains. Nunes et al. 2022, whose authors include two of Morton's, found a larger lean-mass effect at 1.6 g/kg or more than at lower intakes, but 1.6 or more was its highest category, so it could not show where the gains stop. The International Society of Sports Nutrition calls 1.4 to 2.0 g/kg a day "a minimum recommended amount". Greg Nuckols puts the most likely break point, "if one exists", at around 2.0 g/kg (plausible range 1.7 to 2.35), and for men concludes that the old 1 g/lb rule "seems to match the research quite well". The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein: a non-significant break point described as one that "just missed" significance

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page said "the statistical test behind that cutoff just missed the threshold scientists typically require before calling a result definitive", and its highlight credited the break point to "49 RCTs, 1,863 participants".

What it says now

The page says the cutoff "did not reach statistical significance (p = 0.079)", and that the break point came from "42 study arms (723 participants)".

Why, and the source

Morton et al. 2018 present the break point "despite not being statistically significant (p=0.079)", from a regression of 42 study arms with 723 participants, not from all 49 trials and 1,863 participants; the paper does not describe it as nearly significant. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein: a between-group fat difference read as fat lost

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page said people who supplemented protein while lifting "lost an average of 0.41 kilograms of fat mass with no change in total body weight", and that this "happened at protein levels around the ceiling".

What it says now

The page says they "ended up with about 0.4 kilograms less fat and 0.3 kilograms more lean mass than people who lifted without it", and that their body weight "did not differ significantly".

Why, and the source

These are mean differences in Morton et al. 2018 between supplemented groups and comparison groups that did the same training: fat mass -0.41 kg and fat-free mass +0.30 kg, with no significant effect on total body mass. The paper does not report fat lost within each person, and it does not relate the fat result to protein intake. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Daily protein: 800 extra calories said to come from protein, and "nothing bad" from a trial that did not check

ClaimHow Much Protein Do You Actually Need Per Day to Build Muscle?

What it said

The page said lifters eating 4.4 g/kg a day gained no fat "despite approximately 800 extra daily calories from protein", answered "Nothing bad — and nothing extra" about eating above the ceiling, and said it "just does not build more muscle".

What it says now

The page says the lifters ate about 800 extra calories a day and showed no significant change in fat or lean mass; that the trial "did not measure blood markers of kidney or liver function" and "a few participants reported stomach upset"; that between about 1.6 and 2.2 g/kg a day, whether you gain a little more muscle "is not settled"; and that in healthy exercising people, eating above the ceiling "does not appear harmful".

Why, and the source

In Antonio et al. 2014, energy intake rose by about 800 kcal a day and carbohydrate intake rose too, so the extra calories were not all protein. The authors write: "We did not measure blood indices to determine if any side effects (i.e. renal or hepatic function) occurred in the high protein group", and "A few subjects did complain of gastrointestinal distress". Whether intakes between the break point and 2.2 g/kg add muscle is open, because the break point's range reaches 2.20. The International Society of Sports Nutrition limits its finding of no harm to healthy exercising people. The page was written from our notes on its sources, and our checks compared it with those notes. The fix was checked word for word against the sources and by an independent reviewer before it was applied. Source: Antonio J, Peacock CA, Ellerbroek A, Fromhoff B, Silver T. The effects of consuming a high protein diet (4.4 g/kg/d) on body composition in resistance-trained individuals. J Int Soc Sports Nutr. 2014;11:19

Found by

The Morton 2018 sweep (2026-09-29), then a full read of the page against each of its sources and an independent check of the fix (2026-09-30)

Evidence panels on four claim pages gave some studies the wrong agreement label

ClaimIs a Personal Trainer Worth It? ClaimDo Anti-Nutrients in Beans and Grains Block Mineral Absorption? ClaimDoes Cooking Vegetables Destroy Their Nutrients? ClaimWhy Do You Always Have Room for Dessert — Even When You’re Full?

What it said

On the personal trainer page, the evidence panel marked the 2025 Gavanda trial as consistent with the answer and counted 3 consistent studies. On three other claim pages, studies with no stored rating were marked and counted as partially consistent.

What it says now

Each study's dot and the panel's counts now use that study's own rating from our synthesis. On the personal trainer page the Gavanda trial is partially consistent: 2 consistent, 4 partial, 1 divergent. On the other three pages every study is consistent, as their syntheses rate them.

Why, and the source

A bug in our page template, not a misreading of any paper. The evidence panel took each study's rating from its first listed finding and treated a missing rating as partial. On the personal trainer page the Gavanda trial's first listed finding is consistent with the answer, but our synthesis rates the trial as a whole partially consistent. On the other three pages no rating was stored with the findings, while each page's own evidence summary counts every study as consistent. The panel now reads each study's own rating, and a study without one shows a grey dot and is left out of the counts.

Found by

FitChef's own checks: the page design step for a new claim on personal trainers (2026-10-01) compared the stored ratings with what the template shows

Raw-eggs Short: one five-person study was called settled, replicated science

ShortRaw Eggs Absorb Half the Protein. Your Muscles Can’t Tell.

What it said

Its audio called the raw-versus-cooked absorption gap "Settled science", its evidence rated it "Strong — replicated finding across multiple studies using stable isotope techniques", its FAQ said "The gap is caused by protein denaturation during cooking", its body said a 20% higher amino-acid peak was "exactly what the absorption gap predicts", and its data block described protein digestibility as "compared between raw and cooked whole eggs after resistance exercise in 45 trained young men". Its evidence said the gap was "confirmed by Fuchs et al. 2022 plasma amino acid data", its FAQ gave "91% from a cooked egg" as a general figure, its summary box credited the figures to "Fuchs et al. 2022 · The Journal of Nutrition · n=45" and its data block was headed "Same Eggs".

What it says now

It rates the gap as moderate evidence from one study of five ileostomy patients, in which the cooked egg was cooked in a microwave, gives the heat-and-structure explanation as the researchers' presumption, says the amino-acid peak points the same way as the gap, and credits the digestibility figures to that study, not to the 45-man trial; the summary box and the data block name both studies.

Why, and the source

The 91% and 51% figures come from one study (Evenepoel et al. 1998) of five ileostomy patients, whose authors wrote before it that "no data are available concerning the magnitude of this impairment in vivo", and that the higher digestibility of cooked egg protein "presumably results from structural changes in the protein molecule induced by heating". The 45-man trial measured muscle protein synthesis and plasma amino acids (the page's own For Researchers), not digestibility. Source: Evenepoel P, Geypens B, Luypaerts A, Hiele M, Ghoos Y, Rutgeerts P. Digestibility of Cooked and Raw Egg Protein in Humans as Assessed by Stable Isotope Techniques. J Nutr. 1998;128(10):1716-1722.

Found by

Rule 30 sweep of Evenepoel et al. 1998 (Q305, 2026-10-09): every page citing it or its FitChef Short, read in full against the paper as Mark uploaded it; first flagged by the fuel check for a new Short on baking protein powder (KW-1000)

Raw-eggs Short: the 51% raw-egg figure was said to leave five eggs above the muscle-building threshold

ShortRaw Eggs Absorb Half the Protein. Your Muscles Can’t Tell.

What it said

The Short said "Thirty grams of protein — even at 51% absorption — still delivers more amino acids than the muscle-building signal needs" and "Raw eggs at 51% digestibility clear that line with room to spare at a five-egg serving", against a threshold it gives as about 19 grams for a 75-kilo person; its source list said that threshold "explains why 30g at 51% absorption still maximizes MPS".

What it says now

It no longer applies the 51% figure to the five raw eggs.

Why, and the source

The 51% comes from a different study (Evenepoel et al. 1998: true ileal digestibility of raw egg protein 51.3%, in five ileostomy patients). At that rate 30 grams of egg protein gives about 15 grams digested, below the 19 grams the page names, so the sum did not add up. Source: Evenepoel P, Geypens B, Luypaerts A, Hiele M, Ghoos Y, Rutgeerts P. Digestibility of Cooked and Raw Egg Protein in Humans as Assessed by Stable Isotope Techniques. J Nutr. 1998;128(10):1716-1722.

Found by

Rule 30 sweep of Evenepoel et al. 1998 (Q305, 2026-10-09): every page citing it or its FitChef Short, read in full against the paper as Mark uploaded it; first flagged by the fuel check for a new Short on baking protein powder (KW-1000)

Beans Short: the egg study was cited under a shortened title

ShortYour Beans Had Two Protein Locks. Cooking Opened Both.

What it said

The Short cited Evenepoel et al. 1998 as "Digestibility of Cooked and Raw Egg Protein in Humans".

What it says now

It gives the full title, "Digestibility of Cooked and Raw Egg Protein in Humans as Assessed by Stable Isotope Techniques".

Why, and the source

The paper (J Nutr 1998;128:1716-1722) is titled "Digestibility of Cooked and Raw Egg Protein in Humans as Assessed by Stable Isotope Techniques". Source: Evenepoel P, Geypens B, Luypaerts A, Hiele M, Ghoos Y, Rutgeerts P. Digestibility of Cooked and Raw Egg Protein in Humans as Assessed by Stable Isotope Techniques. J Nutr. 1998;128(10):1716-1722.

Found by

Rule 30 sweep of Evenepoel et al. 1998 (Q305, 2026-10-09): every page citing it or its FitChef Short, read in full against the paper as Mark uploaded it; first flagged by the fuel check for a new Short on baking protein powder (KW-1000)

Beans Short: eggs were said to lack the trypsin inhibitors raw egg white contains

ShortYour Beans Had Two Protein Locks. Cooking Opened Both.

What it said

The Short said beans need "a double unlock that meat and eggs never require", that the second barrier "belongs to legumes alone", that beans carry "an additional barrier that eggs and meat do not have: trypsin inhibitors and phytates", and that "This dual mechanism is unique to legumes; animal proteins need only one of these two unlocks".

What it says now

It no longer says eggs or meat lack the second barrier, and its FAQ says raw egg white contains trypsin inhibitors, though whether they slow its digestion in people is unclear.

Why, and the source

The egg study the Short cites (Evenepoel et al. 1998) reports the suggestion that "the reduced digestibility of raw egg white is at least partially related to the presence of trypsin inhibitors in raw egg white", notes that the main one, ovomucoid, "does not react with human trypsin", and says it is "unknown" whether the other egg trypsin inhibitors interfere with the digestibility of raw egg white protein. No source on the page describes meat. Source: Evenepoel P, Geypens B, Luypaerts A, Hiele M, Ghoos Y, Rutgeerts P. Digestibility of Cooked and Raw Egg Protein in Humans as Assessed by Stable Isotope Techniques. J Nutr. 1998;128(10):1716-1722.

Found by

Rule 30 sweep of Evenepoel et al. 1998 (Q305, 2026-10-09): every page citing it or its FitChef Short, read in full against the paper as Mark uploaded it; first flagged by the fuel check for a new Short on baking protein powder (KW-1000)

Cooking Short: details of the egg study were misstated

ShortWhat Cooking Actually Does to Your Protein

What it said

The Short's data block said the study was "Measured in 5 healthy humans using 13C-labeled egg protein", named the research team's hospital "University Hospital Gasthuisberg" and drew the raw-egg bar 56% wide for a 51% figure; its For Researchers said "fecal balance studies overestimate digestibility" and "extreme or prolonged heat may damage certain amino acids"; its evidence called the method a "gold-standard isotope technique"; and its search title was "Cooking Doesn't Destroy Protein. It Nearly Doubles It."

What it says now

It says the five were ileostomy patients, otherwise healthy, measured with 13C- and 15N-labeled egg protein at University Hospital Leuven; the bar is drawn at 51%; For Researchers gives the authors' own reason for preferring ileal over fecal values and their note that processing has both raised and lowered protein digestibility, and adds the study's funding; its evidence rates the result moderate, one study of five, and gives the authors' reason for the technique, mainly safety; the search title reads "Does Cooking Destroy Protein? Cooked Egg: 91% vs 51% Raw".

Why, and the source

The paper studied "five ileostomy patients (4 female, 1 male; aged between 28 and 76 y)" who "were otherwise healthy", at University Hospital Leuven; digestibility was measured with 15N in the ileal effluents (13C was a breath test). It says fecal values "do not necessarily equal" ileal ones, not that they overestimate them; it says nothing about extreme heat damaging amino acids; and it calls the stable isotope technique "the most appropriate for studies involving human subjects", primarily for safety reasons. Cooking did not double the protein: it raised egg protein's digestibility from 51.3% to 90.9%. The study was supported by "Biomed PL93-2139, Vlaamse Executive and Nutricia Chair in gastrointestinal microenvironment". Source: Evenepoel P, Geypens B, Luypaerts A, Hiele M, Ghoos Y, Rutgeerts P. Digestibility of Cooked and Raw Egg Protein in Humans as Assessed by Stable Isotope Techniques. J Nutr. 1998;128(10):1716-1722.

Found by

Rule 30 sweep of Evenepoel et al. 1998 (Q305, 2026-10-09): every page citing it or its FitChef Short, read in full against the paper as Mark uploaded it; first flagged by the fuel check for a new Short on baking protein powder (KW-1000)

Cooking Shorts: one egg study was told as a rule for every food and every kind of heat

ShortWhat Cooking Actually Does to Your Protein ShortYour Beans Had Two Protein Locks. Cooking Opened Both.

What it said

The cooking Short said "Whether the heat comes from a pan, an oven, or a microwave, the result is the same", that "the mechanism is not specific to eggs" and "applies to chicken, fish, beef, anything you put on a pan or in a microwave", that when protein is cooked "Nothing breaks. Nothing is lost." and, in its audio, "Every bond is exposed"; it gave the researchers' likely explanation as fact. The beans Short said "heat improves protein digestibility across all protein sources" and "Every protein source benefits from this step".

What it says now

Both Shorts say the study tested one egg meal, raw and cooked in a microwave oven, in five people, and that its authors note food processing has raised protein digestibility in some cases and lowered it in others. The cooking Short gives the heat-and-structure explanation as the researchers' likely one, says even cooked egg protein was not fully absorbed, and says pans, ovens, reheating and other foods were not tested.

Why, and the source

Evenepoel et al. (1998) compared one egg meal, mostly egg white, eaten raw and "after being cooked in a microwave oven" by five ileostomy patients: true ileal digestibility was 90.9% cooked and 51.3% raw. The authors write that "Both an enhanced and a reduced protein digestibility have been observed after food processing (e.g., boiling, drying, deep-freezing or microwave-heating)", that the higher digestibility of cooked egg protein "presumably results from structural changes in the protein molecule induced by heating", and that even cooked egg protein "is malabsorbed to some extent". No other food and no other heat source was tested. Source: Evenepoel P, Geypens B, Luypaerts A, Hiele M, Ghoos Y, Rutgeerts P. Digestibility of Cooked and Raw Egg Protein in Humans as Assessed by Stable Isotope Techniques. J Nutr. 1998;128(10):1716-1722.

Found by

Rule 30 sweep of Evenepoel et al. 1998 (Q305, 2026-10-09): every page citing it or its FitChef Short, read in full against the paper as Mark uploaded it; first flagged by the fuel check for a new Short on baking protein powder (KW-1000)

Light-weights claim: the 2009 ACSM advice was told as calling 8-12 reps the only range that works

ClaimDo You Need Heavy Weights to Build Muscle?

What it said

The claim said "The organizations that trained personal trainers recommended heavy loads for muscle growth for decades", that "The traditional recommendation" of 8-12 reps at 70-85% of your max was that it "is the only effective range for muscle growth", and that "The governing bodies that originally established the hypertrophy zone — including the ACSM and NSCA — have since revised their position".

What it says now

It says the 2009 American College of Sports Medicine stand recommended 8-12 reps at 70-85% of the one-rep maximum to beginners and intermediate lifters, gave advanced lifters 1-12 reps at 70-100%, and said a variety of training styles had been shown to build muscle; and that the ACSM's 2026 update found loads from 30% to 100% of the maximum did not change muscle growth. The NSCA and the "decades" of advice are no longer named.

Why, and the source

The 2009 ACSM position stand recommends 70-85% of 1 RM for 8-12 repetitions to novice and intermediate individuals and 70-100% of 1 RM for 1-12 repetitions to advanced ones, says "A variety of styles of training have been shown to increase hypertrophy in men and women", and calls no range the only effective one; it cites an earlier, 1998 ACSM stand for 8-12 repetitions. The 2026 ACSM position stand, which updates it, found that loads from 30% to 100% of 1RM did not influence hypertrophy. No source on the page describes the NSCA's guidance. Source: Ratamess NA, Alvar BA, Evetoch TK, Housh TJ, Kibler WB, Kraemer WJ, Triplett NT (written for the American College of Sports Medicine). Progression Models in Resistance Training for Healthy Adults. Position Stand. Med Sci Sports Exerc. 2009;41(3):687-708.

Found by

Rule 30 sweep of the 2009 ACSM position stand (Q307, 2026-10-09): every page citing it or repeating its 8-12 rep advice, read against the full stand as Mark uploaded it

Weight-progression Short: the ACSM's 2-10% rule was given without its two-sessions-in-a-row condition

ShortHow Often Should the Weight Go Up? Two Arms, Two Rules

What it said

The Short said the American College of Sports Medicine's 2009 advice is to add 2 to 10% "once a lifter can do one or two reps more than the target at the current weight", called the jump "a matter of advice rather than tested fact" and, in its audio, "not a tested result", and its For Researchers called it "A consensus recommendation", read from the stand's abstract.

What it says now

It gives the rule as the stand does: add 2 to 10%, less for exercises that use small muscles and more for big ones, once one or two reps over the target are possible in two sessions in a row, and says the stand graded this recommendation B, randomized trials but a limited body of them.

Why, and the source

The full text of the 2009 ACSM position stand recommends "a 2–10% (lower percent for small muscle mass exercises, higher percent increase for large muscle mass exercises) increase in load ... when the individual can perform the current workload for one to two repetitions over the desired number on two consecutive training sessions", evidence category B. The page had been written from the abstract, which leaves out the two-session condition, the muscle-size split and the grade; the stand's "panel consensus" grade is D. Source: Ratamess NA, Alvar BA, Evetoch TK, Housh TJ, Kibler WB, Kraemer WJ, Triplett NT (written for the American College of Sports Medicine). Progression Models in Resistance Training for Healthy Adults. Position Stand. Med Sci Sports Exerc. 2009;41(3):687-708.

Found by

Rule 30 sweep of the 2009 ACSM position stand (Q307, 2026-10-09): every page citing it or repeating its 8-12 rep advice, read against the full stand as Mark uploaded it

Several details of the leg study were wrong on six Shorts

ShortLunges Beat Squats Where It Counts ShortDeadlifts Are Optional ShortEach Exercise Grows a Different Zone of Your Muscle ShortOne Muscle Runs Every Leg Press Rep ShortWhere Pull-Ups and Rows Actually Work ShortThe Muscles That Only Grow From Isolation Work

What it said

The Shorts said the study "demonstrated" its result; that "the reason is mechanical" and the front quad "fires fully" in an extension, and growth differed "because each exercise loads the muscle differently"; that the regional evidence "is consistent"; that "independent research teams keep finding the same principle" and the exercise "determines which part of the muscle grows"; that the result was "replicated across quads, triceps, and calves"; that "the outer quad tripled from press"; that the research "maps exactly which exercises grow which parts" and offers "more glute growth there"; that the vastus lateralis result showed "training status may modulate the biarticular effect"; and that "what determines muscle development is regional coverage". Two said muscle activation is "a strong proxy" for growth, or its link to growth "well-supported". One quoted the regional claim's certainty score from before it was re-weighed.

What it says now

They say exercise selection can influence where muscle grows, and that the regional evidence points to coverage across a program; that why is less settled, the authors pointing to how active each part of the muscle is while noting that activity does not always predict growth; that the one earlier quad study found a different pattern; that the quad and calf results come from one study; that the press grew the outer quad three times as much as extensions did; that the study measured the front and outer quad, not the glutes; and that the vastus lateralis crosses only the knee. The two Shorts on activation now say it does not necessarily predict growth. The Short that quoted the score now gives the regional claim's certainty as Moderate.

Why, and the source

Each detail was checked against Burke et al. in a full read of each Short and was wrong as written. The Shorts were written from our notes on the paper, and our checks compared them with those notes. Burke et al. also note that muscle activity measured by EMG is not necessarily predictive of growth. The same kinds of detail were corrected on the study page and the regional growth claim (records 2026-10-07-leg-press-leg-extension-study-page-details and 2026-10-09-regional-claim-study-details); the claim's certainty was re-weighed in record 2026-10-09-regional-claim-certainty-reweighed. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the Shorts drafted in Q250, 2026-10-07

A Short on squats cited a review under the wrong first author and told its proposed hamstring mechanism as physics

What it said

The Short credited "Nunes et al. 2023", a "Narrative review of all squat hypertrophy studies", with "near-zero hamstring growth across every study that tracked it"; said the hamstrings' activation drops "to nearly nothing" and "The physics of the movement cannot load them"; said squats had "a structural blind spot spanning three muscle groups"; said "Your two largest quad heads respond well"; and its chart gave the quads "8–10%+ growth".

What it says now

It credits Ribeiro et al. 2023, a narrative review of the squat studies its authors found; gives the reduced hamstring activation as the authors' proposal; puts the blind spot at the hamstrings, with the calves expected but untested; and says the quads grew, mainly the vasti, without a single growth figure.

Why, and the source

The review (A Brief Review on the Effects of the Squat Exercise on Lower-Limb Muscle Hypertrophy, Strength & Conditioning Journal, 2023) lists Alex S. Ribeiro first; João Pedro Nunes is third. It is a nonsystematic review. It found six studies that tested hamstring growth from squat training, all reporting almost no effect, and writes that the hamstrings are posited to present null or reduced activation in the squat. It found no squat-only study of the calves. It describes the squat as effective for the quadriceps, mainly the vasti, and gives no 8–10% figure. Source: Ribeiro AS, Santos ED, Nunes JP, Nascimento MA, Graça Á, Bezerra ES, Mayhew JL. A Brief Review on the Effects of the Squat Exercise on Lower-Limb Muscle Hypertrophy. Strength & Conditioning Journal. 2023;45(1):58-66.

Found by

Full reads of eight exercise-selection Shorts against Burke et al. (Q250), which logged the lines resting on other papers; those lines checked against Mark's pastes of the papers in Q261, 2026-10-08

A Short said squats produce no calf growth, when no study had measured it

What it said

The Short said "No study has found enough calf growth from squats to measure — not because research is sparse, but because there's nothing to find" and that "the calves receive too little stimulus to grow at all", and showed the calves at "0%".

What it says now

It says what squats do for the calves had not been studied, as of a 2023 meta-analysis whose authors judged such lifts likely suboptimal for calf growth because the ankle moves little in them.

Why, and the source

Rosa et al. 2023 write that, to their knowledge, no study had investigated the effects of multi-joint exercise on calf muscle development, adding that limited plantarflexion in these movements would make them suboptimal for hypertrophy. A measured zero was never reported. Source: Rosa A, Vazquez G, Grgic J, Balachandran AT, Orazem J, Schoenfeld BJ. Hypertrophic Effects of Single- Versus Multi-Joint Exercise of the Limb Muscles: A Systematic Review and Meta-analysis. Strength & Conditioning Journal. 2023;45(1):49-57.

Found by

Full reads of eight exercise-selection Shorts against Burke et al. (Q250), which logged the lines resting on Rosa et al. 2023; those lines checked against the paper in Q258, 2026-10-07

Four Shorts told a meta-analysis of compound and isolation exercises as finding identical growth, with every study agreeing

ShortLunges Beat Squats Where It Counts ShortDeadlifts Are Optional ShortEach Exercise Grows a Different Zone of Your Muscle ShortThe Muscles That Only Grow From Isolation Work

What it said

The Shorts said total muscle growth between exercise types was "functionally identical" or "identical", the difference "essentially zero", "indistinguishable from zero" and "so small no measuring tool in a gym could pick it up", with "the studies in complete agreement" and "zero heterogeneity across all comparisons"; one answered "Do squats or lunges build more total muscle?" from it, and a chart drew all seven studies at exactly zero ("Every comparison landed at the same place").

What it says now

They say the pooled difference in whole-muscle growth between single-joint and multi-joint exercises was trivial (effect size 0.07), that single studies did not all agree, that the authors call the estimate relatively imprecise, and that six of the seven studies trained the upper body and none tested squats, lunges or deadlifts. The chart shows the pooled result only.

Why, and the source

Rosa et al. pooled ten comparisons from seven studies and found a trivial standardized point estimate (0.07) with no evidence of appreciable heterogeneity. The authors conclude that the evidence indicates similar whole muscle hypertrophy and call the estimate relatively imprecise. A pooled estimate is not every study agreeing: in one included study biceps curls grew the elbow flexors more than dumbbell rows, and in another the triceps grew significantly with triceps extensions but not with the bench press. Six studies trained the upper body; the one leg study compared a leg press with single-joint leg exercises. The same overstatement was corrected on three other pages (record 2026-10-08-rosa-2023-pooled-result-told-as-unanimous). That record says it was also corrected on six Shorts: it was these four. Source: Rosa A, Vazquez G, Grgic J, Balachandran AT, Orazem J, Schoenfeld BJ. Hypertrophic Effects of Single- Versus Multi-Joint Exercise of the Limb Muscles: A Systematic Review and Meta-analysis. Strength & Conditioning Journal. 2023;45(1):49-57.

Found by

Full reads of eight exercise-selection Shorts against Burke et al. (Q250), which logged the lines resting on Rosa et al. 2023; those lines checked against the paper in Q258, 2026-10-07

A meta-analysis of compound and isolation exercises was cited under a wrong journal and wrong titles on five Shorts

ShortLunges Beat Squats Where It Counts ShortDeadlifts Are Optional ShortThe Exercise That Never Built Complete Legs ShortEach Exercise Grows a Different Zone of Your Muscle ShortWhere Pull-Ups and Rows Actually Work

What it said

One Short named the journal of Rosa et al. 2023 as "Sports Medicine" and another called it a "Single vs Multi-Joint RCT"; the Shorts cited it under titles it does not have, such as "Single-joint vs multi-joint exercise hypertrophy meta-analysis", "Single-Joint vs Multi-Joint Exercises for Muscle Hypertrophy: A Systematic Review and Meta-Analysis" and "Single- vs. multi-joint exercises for muscle hypertrophy".

What it says now

They name the Strength & Conditioning Journal and give the title as printed.

Why, and the source

Rosa et al. 2023 ("Hypertrophic Effects of Single- Versus Multi-Joint Exercise of the Limb Muscles: A Systematic Review and Meta-analysis") was published in the Strength & Conditioning Journal. It is a meta-analysis of seven studies, not a trial of its own. The same error was corrected on the close-grip bench press Short (record 2026-10-08-close-grip-short-triceps-study-miscited). Source: Rosa A, Vazquez G, Grgic J, Balachandran AT, Orazem J, Schoenfeld BJ. Hypertrophic Effects of Single- Versus Multi-Joint Exercise of the Limb Muscles: A Systematic Review and Meta-analysis. Strength & Conditioning Journal. 2023;45(1):49-57.

Found by

Full reads of eight exercise-selection Shorts against Burke et al. (Q250), which logged the lines resting on Rosa et al. 2023; those lines checked against the paper in Q258, 2026-10-07

Four Shorts overstated what a meta-analysis found about combining exercises and about the triceps

ShortThe Exercise That Never Built Complete Legs ShortEach Exercise Grows a Different Zone of Your Muscle ShortWhere Pull-Ups and Rows Actually Work ShortThe Muscles That Only Grow From Isolation Work

What it said

One Short said "Rosa et al. 2023 confirms synergistic effect"; two said "overhead extensions" grew the long head of the triceps, one citing it as "(Rosa 2023, RCT)"; one called the long head "the inner triceps head" and said it showed "Same structural conflict, same exclusion, different limb".

What it says now

They say Rosa's authors write that indirect evidence seems to suggest combining would have a synergistic effect on thigh growth, untested, while their pooled data showed no added benefit from combining; that a triceps extension favoured the long head and the bench press the lateral head, in one study the meta-analysis reports; and that the meta-analysis gives no reason for it.

Why, and the source

Rosa et al. found no effect of combining single- and multi-joint exercise in their pooled subgroup and say there may not be an additive benefit; for the thigh they write that piecing together indirect evidence seems to suggest a synergistic effect. The triceps result comes from one included study (Brandão et al.), which Rosa's table describes with lying triceps extensions and its discussion with the overhead triceps extension, so the Shorts now name neither. The same exercise was corrected on the mind-muscle connection claim (record 2026-10-08-rosa-2023-triceps-study-told-as-same-size). Source: Rosa A, Vazquez G, Grgic J, Balachandran AT, Orazem J, Schoenfeld BJ. Hypertrophic Effects of Single- Versus Multi-Joint Exercise of the Limb Muscles: A Systematic Review and Meta-analysis. Strength & Conditioning Journal. 2023;45(1):49-57.

Found by

Full reads of eight exercise-selection Shorts against Burke et al. (Q250), which logged the lines resting on Rosa et al. 2023; those lines checked against the paper in Q258, 2026-10-07

A Short on pull-ups and rows told a muscle-activation study as a clean split between vertical and horizontal pulling

ShortWhere Pull-Ups and Rows Actually Work

What it said

The Short's title said "Where Pull-Ups and Rows Actually Build", and its research notes gave the rows' lat activation as "83–91%" for "all rowing variations", with body weight only "for pull-ups/chin-ups". It called the study "ACE-sponsored" and its participants "19 trained males"; said "For wider lats, vertical pulling owns that zone", "Their zones barely overlapped" and "Vertical pulls load the lats. Horizontal pulls load the mid-back."; said "Activation tracks closely with growth"; and concluded "Both movement planes are needed for complete back development".

What it says now

Its title says where pull-ups and rows work; its research notes give the rows' lat activation as 49–91% and say the inverted and TRX rows also used body weight. It says pull-ups and chin-ups activated the lats most, level with each other, while the lat pull-down, also a vertical pull, did no better than the rows; that bent-over, inverted and seated rows and the I-Y-T raise activated the mid-back most; that the study concludes a variety of exercises is needed to train the entire back; that activation is not direct proof of growth; and it names no sponsor.

Why, and the source

In Edelburg's 2017 master's thesis (University of Wisconsin-La Crosse), the lats were activated to a similar degree in pull-ups (108% of maximum) and chin-ups (105%), and the lat pull-down reached 88%; four exercises led for the middle trapezius (bent-over row 107%, inverted row 108%, seated row 99%, I-Y-T raises 108%), not significantly different from each other. The thesis concludes that a variety of exercises is needed to train the entire back. The study measured muscle activation, not growth. In the lats the TRX row reached 49%; the pull-up, chin-up, inverted row and TRX row were done with body weight. The participants were 19 males with previous resistance-training experience. The thesis names no sponsor. Source: Edelburg H. Electromyographic analysis of the back muscles during various back exercises. MS thesis, University of Wisconsin-La Crosse. 2017.

Found by

Full reads of eight exercise-selection Shorts against Burke et al. (Q250), which logged the lines resting on other papers; those lines checked against Mark's pastes of the papers in Q261, 2026-10-08

Calf raise Short: several details of the standing versus seated calf raise trial were wrong

What it said

The Short called the medial gastrocnemius "the largest head of the calf" and "the biggest calf muscle", said the soleus "grew equally from both exercises" with "a difference so trivial it was statistically meaningless", compared calf growth with "the quads and triceps", said "standing alone provides complete calf development" and seated calf raises are "just redundant", and called the trials "two independent RCTs".

What it says now

It says the soleus grew a similar amount with both exercises (2.1% and 2.9%, not statistically different), compares calf growth with the hamstrings and triceps, says standing alone grew all three calf muscles and that whether a seated raise adds anything is unclear, calls the trials within-participant trials, and names the muscles without calling one the largest.

Why, and the source

Kinoshita et al. report soleus growth of 2.1% standing and 2.9% seated, similar between legs; they compare calf growth with 9 to 20% in the hamstrings and triceps in earlier studies; they report that standing grew all three calf muscles, without calling it complete development; and they assigned the legs by balancing dominant and non-dominant legs, without stating randomisation. Neither paper calls the medial gastrocnemius the largest calf muscle, and the second study's authors write that it remains unclear whether a bent-knee calf raise adds a benefit. Source: Kinoshita M, Maeo S, Kobayashi Y, Eihara Y, Ono M, Sato M, Sugiyama T, Kanehisa H, Isaka T. Triceps surae muscle hypertrophy is greater after standing versus seated calf-raise training. Frontiers in Physiology. 2023;14:1272106.

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237); the calf Short drafted in Q257, 2026-10-07, against Burke and against Mark's fresh paste of Kinoshita et al. 2023

A Short on deadlifts presented its alternatives as tested and its answer as settled

ShortDeadlifts Are Optional

What it said

The Short said "Every one of these exercises can cover what deadlifts cover — and several reach regions deadlifts miss", that "hip thrusts cover glute regions deadlifts underserve", that when a program covers every region "the growth follows", and that a specific compound exercise "cannot be mandatory by any definition"; its titles said "7 Studies Found Zero Growth Gap" and "Seven Studies Agree".

What it says now

It says none of the studies it cites tested the deadlift, so which lifts can stand in for it is FitChef's reading, not a finding; it gives the meta-analysis authors' one pointer for the hamstrings; it says covering every region may matter more, a hypothesis the authors call understudied; and its titles ask the question instead of answering it.

Why, and the source

Neither Rosa et al. 2023 nor the leg study the Short cites (Burke et al. 2024) tested a deadlift: Rosa's seven studies used chest presses, rows, pulldowns, curls, triceps extensions, a leg press and single-joint leg exercises. For the hamstrings, Rosa's authors cite higher muscle activity in the leg curl and stiff-leg deadlift than in the squat and leg press, and negligible hamstring growth from squat training. Source: Rosa A, Vazquez G, Grgic J, Balachandran AT, Orazem J, Schoenfeld BJ. Hypertrophic Effects of Single- Versus Multi-Joint Exercise of the Limb Muscles: A Systematic Review and Meta-analysis. Strength & Conditioning Journal. 2023;45(1):49-57.

Found by

Full reads of eight exercise-selection Shorts against Burke et al. (Q250), which logged the lines resting on Rosa et al. 2023; those lines checked against the paper in Q258, 2026-10-07

A Short told a leg-press study's results, and the reason its authors propose, as more certain than the study did

ShortThe Muscles That Only Grow From Isolation Work

What it said

The Short said three quad muscles "grew identically between exercises"; that the front quad head's 1.1% with the leg press was "a change so small it might as well have been zero"; that muscles crossing two joints "are structurally excluded from compound growth because their joint actions conflict with the movement", with "The body's response is efficient: reduce its activation and let the other quad heads handle the work"; that "Both exercise types have muscles only they can effectively reach"; that the leg press grew "muscles knee extensions didn't touch at all"; and that "Isolation matched the quads but missed everything else". Its chart showed the glutes at "0% isolation".

What it says now

It says the three vasti grew comparably with both exercises (5.0–7.2% against 4.4–6.2%); that the front quad head's 1.1% with the leg press was not a significant change; that the knee extension did not grow the gluteus maximus or the adductor magnus significantly (from −0.9% to +0.2%); and that the joint-action conflict is the authors' proposed explanation, with lower rectus femoris activity measured in the leg press.

Why, and the source

Kinoshita et al. 2026 report rectus femoris gains of 13.2% with the knee extension and 1.1% with the leg press, the latter not a significant change; comparable gains in the vasti; and gluteus maximus and adductor magnus gains with the leg press only. They write that rectus femoris activation may be downregulated because its hip flexion moment conflicts with the required hip extension, and that this may extend to other muscles that cross two joints: a proposal, supported by lower muscle activity in the leg press, not a measured cause. Source: Kinoshita M, Maeo S, Kobayashi Y, Eihara Y, Nishizawa N, Kusagawa Y, Sugiyama T, Wakahara T, Kanehisa H, Isaka T. Hypertrophic Effects of Single- versus Multi-Joint Exercise: A Direct Comparison between Knee Extension and Leg Press. Medicine & Science in Sports & Exercise. 2026;58(7):1566-1580.

Found by

Full reads of eight exercise-selection Shorts against Burke et al. (Q250), which logged the lines resting on other papers; those lines checked against Mark's pastes of the papers in Q261, 2026-10-08

A Short told a volume-counting rule as a measured half-set of growth stimulus

ShortThe Muscles That Only Grow From Isolation Work

What it said

The Short said a bench press gives the triceps "roughly half a set of effective growth stimulus per set you perform", that muscles that assist get "about 50% of the stimulus", and that the half-set counting method had "strong to very strong Bayes Factor superiority".

What it says now

It says a 2025 meta-regression of 67 studies counted sets that train a muscle only indirectly as a full set, half a set or not at all, that counting them as half a set had the strongest relative evidence, and that the half is the counting rule's weight, not a measured stimulus.

Why, and the source

Pelland et al. classified training sets as direct or indirect and counted indirect sets as 1 (total), 0.5 (fractional) or 0 (direct); the relative evidence for the fractional method was strongest, so it was used for their primary models. The 0.5 is set by the method, not measured. The Bayes factor wording came from the preprint and could not be checked against the published paper. Source: Pelland JC, Remmert JF, Robinson ZP, Hinson SR, Zourdos MC. The Resistance Training Dose Response: Meta-Regressions Exploring the Effects of Weekly Volume and Frequency on Muscle Hypertrophy and Strength Gains. Sports Medicine. 2026;56:481-505 (published online 2025).

Found by

Full reads of eight exercise-selection Shorts against Burke et al. (Q250), which logged the lines resting on other papers; those lines checked against Mark's pastes of the papers in Q261, 2026-10-08

Five Shorts told the leg study's quad result as all-or-nothing, or as true of squats, lunges and compound presses

ShortDeadlifts Are Optional ShortThe Exercise That Never Built Complete Legs ShortEach Exercise Grows a Different Zone of Your Muscle ShortWhere Pull-Ups and Rows Actually Work ShortThe Equipment Hierarchy Your Muscles Ignore

What it said

The Shorts said "the growth maps were completely different", "No single exercise covered the entire quad", "Neither covered the full map" and "Total growth was identical"; one said "isolation exercises grew the front quad" against "compound presses"; another that "A barbell squat does not load the quadriceps identically to a dumbbell lunge" and "Each variation reaches parts of the muscle the others miss".

What it says now

They say each exercise grew both measured parts of the quad, one more than the other: the leg extension the front, the leg press the outer part. They name the leg press and the leg extension, the exercises the study tested, and say the authors caution against applying the result to squats or lunges.

Why, and the source

In Burke et al. both exercises grew both measured heads of the quadriceps: the rectus femoris 8.9% with the leg extension and 4.7% with the leg press, the vastus lateralis 8.7% with the leg press and 2.9% with the leg extension. Only two of the four heads were measured and no total was reported. The only multi-joint exercise was the incline leg press, and the authors say the results cannot necessarily be generalized to squats or lunges. The same error was corrected on the study page and the regional growth claim (records 2026-10-07-leg-press-leg-extension-quad-result-overstated and 2026-10-09-regional-claim-quad-result-overstated). Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the Shorts drafted in Q250, 2026-10-07

A study of leg exercises and regional muscle growth was cited under wrong journals and titles on five Shorts

ShortLunges Beat Squats Where It Counts ShortDeadlifts Are Optional ShortEach Exercise Grows a Different Zone of Your Muscle ShortOne Muscle Runs Every Leg Press Rep ShortWhere Pull-Ups and Rows Actually Work

What it said

The source lines named the journal of Burke et al. 2024 as the "Journal of Musculoskeletal and Neuronal Interactions" on one Short, "MSSE" on another and "Regional Hypertrophy RCT" on a third, and the Shorts cited the study under titles it does not have, such as "Exercise selection and regional hypertrophy", "Regional Hypertrophy Responses to Leg Press vs Leg Extension" and "Regional Hypertrophy: Leg Press vs Leg Extension for Quadriceps Growth".

What it says now

They name the Journal of Science in Sport and Exercise and give the title as printed.

Why, and the source

Burke et al. 2024 ("Exercise selection differentially influences lower body regional muscle development") was published in the Journal of Science in Sport and Exercise. Two other Shorts had the same error corrected earlier (record 2026-10-06-burke-2024-wrong-journal). Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the Shorts drafted in Q250, 2026-10-07

Three Shorts said every muscle with more than one head needs several exercises, and that combining exercises was shown to work better

ShortDeadlifts Are Optional ShortThe Exercise That Never Built Complete Legs ShortEach Exercise Grows a Different Zone of Your Muscle

What it said

The Shorts said "No single exercise — not even the best one available — fully develops a multi-headed muscle", that "complete development of a multi-headed muscle requires more than one exercise", that "any muscle with more than one head works this way", and that combining exercises was "always the structurally superior strategy", with "a synergistic effect" the researchers had concluded.

What it says now

They say that for the quad the study's authors concluded it would seem a mix of a multi-joint and a single-joint exercise is needed to fully develop it, that for the calves the same authors found one straight-leg exercise seemingly developed all three calf muscles, and that the combination itself was not tested.

Why, and the source

In Burke et al. each leg trained one quad exercise, so no combination was trained. The authors write that it would seem a combination of multi- and single-joint exercise is required to fully develop the quadriceps, and that the straight-leg toe press seemingly promotes complete development of the calf muscles. They do not use the word synergistic. The same error was corrected on the study page and on the regional growth claim (records 2026-10-07-leg-press-leg-extension-every-muscle-needs-several-exercises and 2026-10-09-regional-claim-every-muscle-needs-several-exercises). Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the Shorts drafted in Q250, 2026-10-07

A Short said standing calf raises grew the deeper calf muscle

ShortEach Exercise Grows a Different Zone of Your Muscle

What it said

The Short said "standing raises grew the deeper head with a probability above 99%" compared to seated raises.

What it says now

It says a straight-leg toe press grew the main calf muscle (the medial gastrocnemius) more than a seated calf raise, with a probability above 99% by the study's model, and that the results for the other two calf muscles were equivocal.

Why, and the source

In Burke et al. the straight-leg exercise was a toe press on a leg press machine, done seated with the knee straight. The muscle that grew more with it is the medial gastrocnemius, a calf muscle that lies near the surface, not a deeper one; the soleus, the deeper muscle, leaned slightly toward the seated raise and its result was equivocal. The same error was corrected on the study page and the regional growth claim (records 2026-10-07-leg-press-leg-extension-calf-exercises-misdescribed and 2026-10-09-regional-claim-calf-exercises-misdescribed). Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the Shorts drafted in Q250, 2026-10-07

Calf raise Short: the second study was described as a repeat of the first

What it said

The Short said both research teams "assigned one leg to standing calf raises and the other to seated", that seated calf raises produced "zero significant gastrocnemius growth in two independent training studies", that "Soleus growth was independent of knee angle in both studies", that "Both studies measured total calf growth", that for the main calf muscle "both studies agreed without reservation", and that "the gastrocnemius favored standing" in both.

What it says now

It says the second study compared a straight-leg toe press on a leg press machine with a seated calf raise, that its model favored the straight-leg exercise for the medial gastrocnemius with a 99.1% probability, that its other two calf results were uncertain, and that the no-growth result for the seated leg and the total calf growth come from the first study alone.

Why, and the source

In Burke et al. nobody stood: the straight-leg exercise was a toe press on a leg press machine. The study drew no inferences on growth within each leg and reports no total calf growth; its soleus result leaned slightly toward the seated raise and was uncertain, and its authors call their medial gastrocnemius and soleus results generally in accordance with the first study. The same calf exercise was corrected on the study page and the regional growth claim (records 2026-10-07-leg-press-leg-extension-calf-exercises-misdescribed and 2026-10-09-regional-claim-calf-exercises-misdescribed). Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237); the calf Short drafted in Q257, 2026-10-07, against Burke and against Mark's fresh paste of Kinoshita et al. 2023

Calf raise Short: the second study's sample size, aims and first author were wrong

What it said

The Short gave the second study as "n=47", said "calves were a secondary outcome" in it, and named its first author "Burke D".

What it says now

It gives 30 enrolled and 28 who completed, 20 men and 8 women, and names Ryan Burke; the calf comparison is no longer called a secondary outcome.

Why, and the source

Burke et al. recruited 30 resistance-trained volunteers, of whom 28 completed the study (20 men, 8 women). The study had two primary aims, one of them the calf muscles. Its first author is Ryan Burke. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237); the calf Short drafted in Q257, 2026-10-07, against Burke and against Mark's fresh paste of Kinoshita et al. 2023

Calf raise Short: a proposed explanation for the seated calf raise was told as a proven mechanism

What it said

The Short said the gastrocnemius "is mechanically switched off" in a seated calf raise, that the joint position "makes the muscle physically unable to work", that "its fibers physically cannot change length", that this was "eliminating the mechanical stimulus for hypertrophy", and rated the mechanism "mechanistically explained and empirically confirmed by both studies".

What it says now

It says the muscle works at a much shorter length when the knee is bent, that earlier work found its fibers barely change length in that position, which may leave it unable to produce as much force, and that neither training study measured this.

Why, and the source

Burke et al. write that the medial gastrocnemius result is "conceivably mediated by active insufficiency", citing an earlier study in which its fibers did not appreciably change length with the knee at 90 degrees, which "would suggest the possibility" that the muscle is slack and unable to produce as much force. Kinoshita et al. offer other studies' activation data as an explanation. Neither study measured the mechanism. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237); the calf Short drafted in Q257, 2026-10-07, against Burke and against Mark's fresh paste of Kinoshita et al. 2023

Close-grip Short: a chest-activity meta-analysis's flat-versus-incline result was told as a grip-width finding

ShortClose Grip Wins for Triceps. The Chest Barely Noticed.

What it said

The Short's For Researchers section said the "Lopez-Vivancos et al. 2023 meta-analysis confirmed that narrow grip significantly lowers sternal pec activation (SMD = 1.80, p = 0.017)".

What it says now

It says that in the meta-analysis's pooled grip-width analysis the sternal chest did not differ significantly between normal and narrow grips (SMD 0.49, p = 0.101, three studies), that the authors' discussion still says narrower grips lowered it in the individual studies, and that the SMD 1.80 (p = 0.017) sternal result compared the flat with the incline bench.

Why, and the source

López-Vivancos et al. 2023 pooled muscle-activity (EMG) studies of the bench press and its variants. For normal against narrow grip, sternal portion, they report SMD 0.49 (p = 0.101); the 1.80 (p = 0.017) is the flat against the inclined bench. Their discussion, citing three individual studies, and their first recommendation say narrower grips give significantly lower sternal activation. The review measured muscle activity, not growth. Source: López-Vivancos A, González-Gálvez N, Orquín-Castrillón FJ, Vale RGdS, Marcos-Pardo PJ. Electromyographic Activity of the Pectoralis Major Muscle during Traditional Bench Press and Other Variants of Pectoral Exercises: A Systematic Review and Meta-Analysis. Appl. Sci. 2023, 13, 5203.

Found by

Rule 29 check of the lines on the Q268 pages that rest on other papers (Q275, 2026-10-08), each against the paper as Mark pasted it

Mind-muscle connection pages: an exploratory strength analysis was told as proof that extra muscle, not the nervous system, explained the gains

StudyYour Mind-Muscle Connection Has a Weight Limit ClaimDoes the Mind-Muscle Connection Actually Build More Muscle?

What it said

The study page said the analysis suggested "strength gains came from the extra muscle, not from better neural connections"; the claim said "hypertrophy differences fully explained the strength differences in elbow flexion" and that the growth advantage "is the primary mechanism — not a separate neural adaptation".

What it says now

They say that, in a post hoc analysis, the extra biceps growth appeared to account for the strength difference between the groups, which was itself not significant.

Why, and the source

Schoenfeld et al. 2018 added the change in elbow flexor thickness as a covariate after the fact: the group effect on elbow flexion strength fell from moderate (partial eta squared 0.114) to trivial (0.006), and the authors write that "it appears that, in this study, differences in hypertrophy accounted for potential differences in strength between groups". The strength difference itself did not reach significance, and the paper does not test or rule out neural adaptations. Source: Schoenfeld BJ, Vigotsky A, Contreras B, Golden S, Alto A, Larson R, Winkelman N, Paoli A. Differential effects of attentional focus strategies during long-term resistance training. European Journal of Sport Science. 2018.

Found by

Rule 31(b) skeptic check (Q272, 2026-10-08) of the correction drafted after the Rule 30 sweep of Rosa et al. 2023, reading each page in full against Schoenfeld et al. 2018, pasted again by Mark

Mind-muscle connection claim: the quoted source sentence was not the paper's

ClaimDoes the Mind-Muscle Connection Actually Build More Muscle?

What it said

The claim quoted the study as "Results showed that changes in elbow flexor MT [muscle thickness] were significantly greater in the MIND group", with "F(1,27) = 12.14".

What it says now

It quotes the abstract: "Results show significantly greater increases in elbow flexor thickness in INTERNAL versus EXTERNAL (12.4% vs. 6.9%, respectively); similar changes were noted in quadriceps thickness."

Why, and the source

The paper calls its groups INTERNAL and EXTERNAL and reports the elbow flexor result as F1,24 = 10.64; no sentence in it matches the quote, which had been composed rather than copied. Source: Schoenfeld BJ, Vigotsky A, Contreras B, Golden S, Alto A, Larson R, Winkelman N, Paoli A. Differential effects of attentional focus strategies during long-term resistance training. European Journal of Sport Science. 2018.

Found by

Rule 30 sweep of Rosa et al. 2023 (Q262, 2026-10-08), which saw these lines in passing; each page then read in full against its own paper, pasted again by Mark (Q268, 2026-10-08)

Exercise order pages: a non-significant growth result was told as zero, unanimous and settled

StudyYour First Exercise Gets Stronger, Not Bigger (11 Studies) ClaimDoes the Mind-Muscle Connection Actually Build More Muscle?

What it said

The study page said "every included study agreed. Not a single one pulled in a different direction", that "The question has a clean, settled answer", that exercise order "has zero effect on muscle growth" across "11 studies", that "The answer was definitive", that the hypertrophy finding "is one of the most confident results in this field", and that "Your growth will be identical". The mind-muscle connection claim said a meta-analysis "found exercise order has zero effect on muscle growth" and that order research was "tested separately in 5 controlled studies".

What it says now

They say that, pooled, the seven of eleven studies that measured muscle growth showed no significant effect of exercise order (combined effect 0.03, 95% range -0.26 to 0.31), with no measurable disagreement between studies, and that the authors read this as similar growth regardless of order while calling for more research.

Why, and the source

Nunes et al. pooled eleven studies, seven of which measured hypertrophy. They report no significant effect of exercise order on growth (0.03, p = 0.862, I² = 0%), conclude that similar muscle hypertrophy can be attained regardless of order, and say the low number of studies calls for more research. Zero heterogeneity is not the same as every study agreeing. Source: Nunes JP, Grgic J, Cunha PM, Ribeiro AS, Schoenfeld BJ, de Salles BF, Cyrino ES. What influence does resistance exercise order have on muscular strength gains and muscle hypertrophy? A systematic review and meta-analysis. European Journal of Sport Science.

Found by

Rule 30 sweep of Rosa et al. 2023 (Q262, 2026-10-08), which saw these lines in passing; each page then read in full against its own paper, pasted again by Mark (Q268, 2026-10-08)

Exercise order study page: the included studies, the measured muscles and the authors' explanation were misdescribed

StudyYour First Exercise Gets Stronger, Not Bigger (11 Studies)

What it said

The page said "All eleven studies used traditional set-by-set training" and "None tested supersets, circuits", that "the muscles they tracked were the biceps and triceps", that the strength effect of going first "was consistent across every study", that "smaller movements are more sensitive to fatigue from earlier exercises", that a twelve-week trial "confirmed" the result after the principle "appeared independently", and that the authors' affiliations "span universities in Brazil and Australia".

What it says now

It says one of the eleven studies used circuit training, in older women; that the ultrasound studies mostly measured muscles, such as the biceps, that only assist in the compound exercise, so the result may only show that doing the compound first does not affect growth in an assisting muscle; that the strength effect was significant but with some disagreement between studies; that the authors explain it by higher loads in the first exercise and by fatigue lowering performance in the next ones; that the twelve-week trial is one of the eleven; and that the authors are from Brazil, Australia and the United States.

Why, and the source

In Nunes et al., Cardozo et al. 2019 used circuit training; the authors say the ultrasound data may only indicate that a compound exercise done first does not affect growth of a muscle acting as a synergist; the specificity analyses had heterogeneity of 33.6% to 58.1%; Simão et al. 2010 is among the included studies; and one author is at Lehman College, New York. Source: Nunes JP, Grgic J, Cunha PM, Ribeiro AS, Schoenfeld BJ, de Salles BF, Cyrino ES. What influence does resistance exercise order have on muscular strength gains and muscle hypertrophy? A systematic review and meta-analysis. European Journal of Sport Science.

Found by

Rule 30 sweep of Rosa et al. 2023 (Q262, 2026-10-08), which saw these lines in passing; each page then read in full against its own paper, pasted again by Mark (Q268, 2026-10-08)

Mind-muscle connection pages: a review of attentional-focus research was described with claims it does not make

StudyYour Mind-Muscle Connection Has a Weight Limit ClaimDoes the Mind-Muscle Connection Actually Build More Muscle?

What it said

The study page said Gabriele Wulf's work spanned "over a hundred published studies" and found an external focus "produces more force per rep", with "Better bar speed"; the claim said "Over 15 years of sports science research has consistently shown" that external focus "produces better per-rep force and performance".

What it says now

They say that, as Schoenfeld et al. summarise it, Wulf's review of fifteen years of research found an external focus better for motor learning in more than 90% of published studies, and that in single sessions an external focus helps force production.

Why, and the source

Schoenfeld et al. 2018 report that Wulf (2013) concluded an external focus showed better improvements in motor learning than an internal focus in more than 90% of published studies on the topic, and cite a separate study for the acute benefit to force production. The study count, bar speed and per-rep force were not in that account. Source: Schoenfeld BJ, Vigotsky A, Contreras B, Golden S, Alto A, Larson R, Winkelman N, Paoli A. Differential effects of attentional focus strategies during long-term resistance training. European Journal of Sport Science. 2018.

Found by

Rule 30 sweep of Rosa et al. 2023 (Q262, 2026-10-08), which saw these lines in passing; each page then read in full against its own paper, pasted again by Mark (Q268, 2026-10-08)

Mind-muscle connection pages: a muscle-activity study of trained men was misdescribed

StudyYour Mind-Muscle Connection Has a Weight Limit ClaimDoes the Mind-Muscle Connection Actually Build More Muscle?

What it said

The study page said the boost was measured "compared to focusing on the weight", that "The results built like a staircase", that "The heavier the weight, the harder the brain seemed to work", that "your nervous system is already recruiting everything it has just to move the bar", that the signal "physically cannot get through at that load", and that "The same load-sensitivity pattern held regardless of training experience". The claim said "muscles are already firing at full capacity", that "Both studies used untrained men", that the effect works "only for isolation exercises", that "Outside either, it does not exist", and asked "If the mind-muscle connection works best on isolation exercises".

What it says now

They say Calatayud et al. compared focus sets with regular sets in the bench press, in 18 trained men: focusing on the chest raised chest activity by 5 to 9 percentage points at 20% to 60% of maximum, with no steady trend, and not at 80%, which the authors put down probably to the force and motor unit recruitment heavy loads need. They say growth was measured only in untrained men, and only in single-joint exercises, and the study page labels the activity study as adding nuance to the growth study rather than confirming it.

Why, and the source

Calatayud et al. 2016 tested 18 resistance-trained men in the bench press at 20, 40, 50, 60 and 80% of one-repetition maximum against a regular set, found a threshold between 60 and 80% rather than a dose-response trend, and say the heavy-load result is "probably" due to the greater force and motor unit recruitment required. At 80%, chest activity was about 80% of its maximum, not full capacity, and the authors cite an earlier study in which a chest cue still raised chest activity at 80%. Source: Calatayud J, Vinstrup J, Jakobsen MD, Sundstrup E, Brandt M, Jay K, Colado JC, Andersen LL. Importance of mind-muscle connection during progressive resistance training. European Journal of Applied Physiology. 2016.

Found by

Rule 30 sweep of Rosa et al. 2023 (Q262, 2026-10-08), which saw these lines in passing; each page then read in full against its own paper, pasted again by Mark (Q268, 2026-10-08)

Mind-muscle connection pages: the authors' speculation about arms and legs was told as established fact

StudyYour Mind-Muscle Connection Has a Weight Limit ClaimDoes the Mind-Muscle Connection Actually Build More Muscle?

What it said

The study page said "your brain controls your arms with finer precision than your legs", "It is wiring", "a finding confirmed since the 1940s", "The cue arrives. The nervous system shrugs." and "Your body already knew what this study confirmed", that "years of training develops nerve-to-muscle connections that novices do not have", and that the researchers limited the results "to compound exercises, to women"; the claim said it is "a reality documented since the 1940s" and "It's anatomy."

What it says now

They say the authors speculated, without testing it, that the men found it easier to focus on the arm than the thigh, citing evidence that retraining of muscles appears more common in the arms after tendon-transfer surgery and that people have greater force control of their elbow flexors than of their knee extensors; that trained lifters might grow their quads this way is the authors' hypothesis, which they say needs further research; and that the authors limited the results to the loads used and to untrained men.

Why, and the source

Schoenfeld et al. 2018 write that they did not attempt to determine mechanistic reasons for the split and that it "can be speculated" the men found it easier to focus on the elbow flexors than the thighs. Their own limitations are the loads used and untrained subjects; compound exercises and women are not among them. Source: Schoenfeld BJ, Vigotsky A, Contreras B, Golden S, Alto A, Larson R, Winkelman N, Paoli A. Differential effects of attentional focus strategies during long-term resistance training. European Journal of Sport Science. 2018.

Found by

Rule 30 sweep of Rosa et al. 2023 (Q262, 2026-10-08), which saw these lines in passing; each page then read in full against its own paper, pasted again by Mark (Q268, 2026-10-08)

Mind-muscle connection pages: a null quad result was told as exactly zero, and both groups as lifting the same weight

StudyYour Mind-Muscle Connection Has a Weight Limit ClaimDoes the Mind-Muscle Connection Actually Build More Muscle?

What it said

The study page said "The difference was 0.00 millimeters" beside growth of 3.29 and 3.17 millimeters, called it "The most perfectly null finding in exercise science", said the cue "produced literally, mathematically, nothing for quads", that "The mental cue alone accounted for almost a third of the gap between the two groups", that "The odds of this difference appearing by accident were less than 3 in 1,000", and that the two groups used the "Same weight"; its search description read "Quad growth: zero." The claim said the men "grew their quads identically in both groups", with "literally zero additional growth".

What it says now

They say the outer-quad difference was 0.00 millimeters after adjusting for each group's starting size (p = 0.999) and the mid-thigh measure leaned slightly, and not significantly, the other way, so the cue made no measurable difference to the quads; that the biceps result was a large effect (partial eta squared 0.307, p = 0.003); and that each man trained with loads set by his own 10-repetition maximum.

Why, and the source

Schoenfeld et al. 2018 give the outer-thigh (vastus lateralis) change as 3.29 against 3.17 mm and a between-group difference of 0.00 mm corrected for baseline values; the mid-thigh (rectus femoris) measure favoured the external group (-0.88 mm, p = 0.418). Partial eta squared is the variance in the model accounted for by the group difference, not a share of the gap, and a p-value is not the odds that a result is an accident. Training loads were set individually from each man's 10-repetition maximum. Source: Schoenfeld BJ, Vigotsky A, Contreras B, Golden S, Alto A, Larson R, Winkelman N, Paoli A. Differential effects of attentional focus strategies during long-term resistance training. European Journal of Sport Science. 2018.

Found by

Rule 30 sweep of Rosa et al. 2023 (Q262, 2026-10-08), which saw these lines in passing; each page then read in full against its own paper, pasted again by Mark (Q268, 2026-10-08)

Close-grip Short: a muscle-activity study was told as growth and as identical readings, and cited under the wrong title

ShortClose Grip Wins for Triceps. The Chest Barely Noticed.

What it said

The Short said close grip "builds more triceps than wide — by just 10 to 24%", that "Pec activation does not change with any grip width" and the chest "fired identically", that the close and medium grips "fired the triceps identically", called medium "the medium grip you would probably choose if nobody told you to think about it", and said the margin "lives on a laboratory sensor without ever becoming visible in a mirror". It cited the study as "Effect of Grip Width on Muscle Activation During Bench Press", and its chart's data named "The Effects of Bench Press Variations in Competitive Athletes on Muscle Activity and Performance".

What it says now

It says the study measured muscle activity, not growth: in trained lifters a wide grip gave 10.6% less triceps activation than a medium grip and 24.1% less than a close grip, the second gap not significant; close and medium grips gave similar readings; chest activation was similar at the three grip widths tested, up to the 81 cm competition limit. It names the paper by its title.

Why, and the source

Saeterbakken et al. 2021 recorded muscle activity (EMG) in one session in 28 men, 15 of them resistance-trained. The paper reports the wide grip as lower than the others, not the close grip as higher, and narrow against medium as similar (p = 1.000): no detected difference, not identical readings. The chest showed no differences between the three widths tested; the authors note that studies using wider grips found more chest activity. They write that grip width may affect the growth of the arm muscles differently, that conclusions about training drawn from EMG should be interpreted with caution, and that the wide grip, not the medium one, was the grip most participants used in their normal training. The chart's schema named another Saeterbakken paper, from 2017. Source: Saeterbakken AH, Stien N, Pedersen H, Solstad TEJ, Cumming KT, Andersen V. The Effect of Grip Width on Muscle Strength and Electromyographic Activity in Bench Press among Novice- and Resistance-Trained Men. Int J Environ Res Public Health. 2021;18(12):6444.

Found by

Rule 30 sweep of Rosa et al. 2023 (Q262, 2026-10-08), which saw these lines in passing; each page then read in full against its own paper, pasted again by Mark (Q268, 2026-10-08)

Close-grip Short: a triceps growth study was cited under a wrong journal and title, and as if it had tested grip width

ShortClose Grip Wins for Triceps. The Chest Barely Noticed.

What it said

The Short's sidebar named the journal of Rosa et al. 2023 as "J Strength Cond Res" and its citation used the title "Compound vs Isolation Exercises and Regional Hypertrophy". It said "Bench pressing, regardless of grip, meaningfully reaches one" head of the triceps, that "The bench press preferentially builds the lateral head of the triceps regardless of grip position", and that the study "suggests bench press grip width modifies activation of the lateral head specifically".

What it says now

It names the Strength & Conditioning Journal and the paper's title, and says the triceps result comes from one ten-week study inside that meta-analysis, which compared exercises, not grips: there the only triceps head the bench press grew significantly was the lateral head (7.2%), and a triceps extension grew the long head 17.5%.

Why, and the source

Rosa et al. 2023 ("Hypertrophic Effects of Single- Versus Multi-Joint Exercise of the Limb Muscles: A Systematic Review and Meta-analysis") was published in the Strength & Conditioning Journal. The triceps data come from one of its seven studies, Brandão et al., which compared the bench press with a triceps extension and did not vary grip width; in it the bench press grew the lateral head significantly but not the long head (2.1%) or the medial head. Source: Rosa A, Vazquez G, Grgic J, Balachandran AT, Orazem J, Schoenfeld BJ. Hypertrophic Effects of Single- Versus Multi-Joint Exercise of the Limb Muscles: A Systematic Review and Meta-analysis. Strength & Conditioning Journal. 2023;45(1):49-57.

Found by

Rule 30 sweep of every page citing Rosa et al. 2023, each read in full against the paper (Q262, 2026-10-08), opened when the Burke 2024 batch 4 read found Rosa lines on eight Shorts (Q250, Q258)

Mind-muscle claim: a triceps study inside a meta-analysis was described with the wrong exercise and as moving, not adding, growth

ClaimDoes the Mind-Muscle Connection Actually Build More Muscle?

What it said

The claim said one study found that "overhead triceps extensions" grew a specific head of the triceps by 17.5% against 2.1% with the bench press, and that isolation "redirects where the growth goes".

What it says now

It names the exercise a triceps extension and says that across seven studies adding isolation made little difference to total muscle size, and that what isolation can change is where the growth goes.

Why, and the source

In Rosa et al.'s table, Brandão et al. trained 43 recreationally active young men for 10 weeks and measured triceps cross-sectional area by MRI: the whole triceps grew significantly with the triceps extension (9.5%) but not with the bench press (4.8%), so the extension did not only move growth around. The table names the exercise lying triceps extensions and the discussion the overhead triceps extension, so the page now names neither. Source: Rosa A, Vazquez G, Grgic J, Balachandran AT, Orazem J, Schoenfeld BJ. Hypertrophic Effects of Single- Versus Multi-Joint Exercise of the Limb Muscles: A Systematic Review and Meta-analysis. Strength & Conditioning Journal. 2023;45(1):49-57.

Found by

Rule 30 sweep of every page citing Rosa et al. 2023, each read in full against the paper (Q262, 2026-10-08), opened when the Burke 2024 batch 4 read found Rosa lines on eight Shorts (Q250, Q258)

A meta-analysis of compound and isolation exercises was told as identical growth on three pages

StudyYour First Exercise Gets Stronger, Not Bigger (11 Studies) Study24 Studies on Full Range of Motion. The Edge: 2.8%. ClaimDoes the Mind-Muscle Connection Actually Build More Muscle?

What it said

The study page on exercise order said the seven studies comparing compound to isolation exercises "found identical growth"; the study page on partial reps said "Seven research teams pooled their data"; the mind-muscle connection claim said "Isolation doesn't add total muscle size".

What it says now

They say a meta-analysis pooled seven studies and found similar overall growth, and that across the seven studies adding isolation made little difference to total muscle size.

Why, and the source

Rosa et al. pooled ten comparisons from seven studies and found a trivial standardized point estimate (0.07) with no evidence of appreciable heterogeneity. The authors conclude that the evidence indicates similar whole muscle hypertrophy, say there may not be an additive benefit to combining the two types, and call the estimate relatively imprecise. A pooled estimate is not every study agreeing: in one included study biceps curls grew the elbow flexors significantly more than dumbbell rows, and in another the triceps grew significantly with a triceps extension but not with the bench press. The same overstatement was corrected on six Shorts in the same review. Source: Rosa A, Vazquez G, Grgic J, Balachandran AT, Orazem J, Schoenfeld BJ. Hypertrophic Effects of Single- Versus Multi-Joint Exercise of the Limb Muscles: A Systematic Review and Meta-analysis. Strength & Conditioning Journal. 2023;45(1):49-57.

Found by

Rule 30 sweep of every page citing Rosa et al. 2023, each read in full against the paper (Q262, 2026-10-08), opened when the Burke 2024 batch 4 read found Rosa lines on eight Shorts (Q250, Q258)

Free weights against machines: the claim's certainty rating rested on errors and is lowered to Moderate Certainty

ClaimDo Machines Build as Much Muscle as Free Weights?

What it said

The claim was rated High Certainty, a rating that included a bonus for evidence spanning three decades and one for near-perfect agreement between studies, and counted a trial inside the review as corroboration.

What it says now

It is rated Moderate Certainty.

Why, and the source

The five studies in Haugen et al. 2023 that measured muscle growth were published between 2018 and 2021, not across three decades; an I² of 0 across five studies says they varied no more than chance would predict, not that they agree perfectly; and the 2020 trial is one of those five. Without those, the rating falls to Moderate Certainty. The authors call the evidence tentative and ask for caution, especially for hypertrophy. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

Leg press against leg extension: a Bayesian probability and a pilot test were overstated

StudyLeg Press vs Leg Extension: They Don’t Build the Same Quad

What it said

The study page said the calf result was "significant" and that "the researchers were 99.1% confident", and that the pilot EMG "rules out" leg press confounding, so the calf finding "stands on its own".

What it says now

It says the study's statistical model gave a 99.1% probability that the straight-leg exercise grew the main calf muscle more, that the pilot suggested little confounding, and that the researchers checked by re-running the calf analysis on the legs that did leg extensions only: the main calf muscle's result held, the outer calf muscle's reversed.

Why, and the source

Burke et al. used a Bayesian analysis whose probabilities are the share of the posterior distribution above zero, not significance tests. The pilot EMG suggested minimal calf activation, and the authors ran a further analysis to investigate possible confounding by the leg press. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the study page drafted in Q237, 2026-10-07

Leg press against leg extension: the role of training experience was overstated

StudyLeg Press vs Leg Extension: They Don’t Build the Same Quad

What it said

The study page said the regional effect is "strongest" for lifters with a training base, that it "depends on training experience" or that training status "moderates" it, that the findings "cannot be generalized" to other groups, and that its results "have not been tested" in untrained people.

What it says now

It says the finding comes from trained lifters, that the opposite result in beginners came with a different exercise (a one-leg Smith machine squat) and the authors suggest either could explain it, and that the findings cannot necessarily be generalized, though the authors see no logical reason they would differ. It no longer says the calf result is untested in untrained people.

Why, and the source

Burke et al. studied only trained participants, call the difference from Earp et al. speculative and attribute it potentially to the sample and the exercise, and say their findings cannot necessarily be generalized while seeing no logical rationale for different results between populations. An earlier calf study in untrained participants (Kinoshita et al. 2023), which the paper discusses, found a result for the main calf muscle that Burke et al. call generally in accordance with theirs. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the study page drafted in Q237, 2026-10-07

Leg press against leg extension: several details of the study were wrong on its page

StudyLeg Press vs Leg Extension: They Don’t Build the Same Quad

What it said

The study page said exercise choice "literally determines" which parts of a muscle grow; that the outer calf result reversed "entirely"; that the soleus showed "no meaningful difference" or "responded similarly"; that the differences were "real and consistent" across all comparisons; that several "assessors" measured the muscles; that Earp and colleagues' squat was "machine-free"; that a sensitivity analysis controlled for "body weight"; and that Burke's team flagged a caveat about the chest evidence. In its data for AI systems it also said the soleus result "challenges" the belief that seated raises target that muscle, that the EMG studies on the soleus show similar activation at every knee angle, that another study "found opposite direction" for the outer calf muscle, and that the principle "is established".

What it says now

It says exercise choice can change where a muscle grows; that the outer calf result essentially reversed; that the soleus showed no clear difference; that the quad and main calf differences are likely but modest and the other calf results uncertain; that one technician measured all participants; that Earp's squat was done on a Smith machine; that the analysis controlled for BMI; and that Burke's caveat was about muscle-activation (EMG) evidence in general. In its data for AI systems it says the soleus result leaned slightly toward the seated raise but stayed uncertain, that the EMG studies on the soleus are mixed, that Kinoshita et al. found the straight-leg exercise favored for the outer calf muscle as Burke's main analysis did, and that the authors describe their quad result as proof of principle.

Why, and the source

Each detail was checked against Burke et al. in a full read of the page and was wrong as written. The page was written from our notes on the paper, and our checks compared it with those notes. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the study page drafted in Q237, 2026-10-07

Leg press against leg extension: a quad conclusion was extended to every muscle, against the paper's calf result

StudyLeg Press vs Leg Extension: They Don’t Build the Same Quad

What it said

The study page said that for any muscle with multiple heads one exercise is not enough, that both exercises "are needed", and that the answer was "no" for both muscle groups studied.

What it says now

It says the authors conclude a combination of exercises would seem to be needed to fully develop the quadriceps, while for the calves they conclude the straight-leg exercise seemingly developed all three calf muscles, and that any added benefit of the seated raise is unclear.

Why, and the source

Burke et al. reached opposite conclusions for the two muscle groups: for the quadriceps it would seem a combination is required; for the calves, the straight-leg toe press seemingly promotes complete development of the gastrocnemii and soleus. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the study page drafted in Q237, 2026-10-07

Leg press against leg extension: the quad result was told as all-or-nothing and as true of all compound lifts

StudyLeg Press vs Leg Extension: They Don’t Build the Same Quad

What it said

The study page said the leg press left the front quad at "half its growth potential" or "half speed", that "compounds" in general miss that region, that the two exercises grew "opposite" quad regions, that the leg press "misses" a region and a single exercise "may not reach every region", that "neither covered both", and that both exercises produced "strong growth".

What it says now

It says both exercises grew both measured parts of the quad, each one part more: the front quad grew 8.9% with extensions and 4.7% with leg press, the outer quad 8.7% with leg press and 2.9% with extensions. It says the only compound tested was the leg press, and that the authors caution the result may not carry over to squats or lunges.

Why, and the source

Burke et al. report that each exercise produced greater growth in one head, with both heads growing on both legs, and drew no inference on growth within each leg. They tested only the incline leg press as a multi-joint exercise and say the results cannot necessarily be generalized to other multi-joint movements such as squats and lunges. The leg-extension result is a comparison, not a ceiling. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the study page drafted in Q237, 2026-10-07

Leg press against leg extension: the calf exercises and the seated-raise result were misdescribed

StudyLeg Press vs Leg Extension: They Don’t Build the Same Quad

What it said

The study page called the straight-leg exercise a standing calf raise, and said the seated calf raise "barely targeted" or "barely activates" the biggest calf muscle.

What it says now

It says the straight-leg exercise was a toe press on a leg press machine with the knee straight, and that for the main calf muscle (the medial gastrocnemius) the seated raise was the weaker choice: the straight-leg exercise grew it more (99.1% probability). It notes the 9% activation figure was measured during the leg press.

Why, and the source

In Burke et al. the straight-leg exercise was a toe press on a leg press machine, done seated with the knee straight, against a seated calf raise. The medial gastrocnemius grew more with the straight-leg exercise; the paper reports no activation figure for the seated raise, and the 9% figure is pilot data from the leg press. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the study page drafted in Q237, 2026-10-07

Leg press against leg extension: two calf activation values were swapped in a chart

StudyLeg Press vs Leg Extension: They Don’t Build the Same Quad

What it said

A chart of calf muscle activation during the leg press showed the lateral gastrocnemius at 28% and the soleus at 24% of maximum.

What it says now

It shows the lateral gastrocnemius at 24% and the soleus at 28%, as the paper reports, and says the figures come from pilot testing before the study.

Why, and the source

Burke et al. report pilot EMG amplitudes of 24%, 9% and 28% of maximal voluntary contraction for the lateral gastrocnemius, medial gastrocnemius and soleus during the leg press. The chart had the first and last swapped. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the study page drafted in Q237, 2026-10-07

Leg press against leg extension: the study page said the authors declared no conflicts of interest

StudyLeg Press vs Leg Extension: They Don’t Build the Same Quad

What it said

The study page's data said "No conflicts of interest reported by the authors" and showed no declared interests.

What it says now

It gives the paper's statement: Brad J. Schoenfeld serves on the scientific advisory board of Tonal Corporation, a manufacturer of fitness equipment; the other authors declare no conflicts of interest.

Why, and the source

The paper's competing-interests statement names one: its last author serves on the scientific advisory board of a fitness-equipment company. Our page was built without it. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Androulakis-Korakakis P, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. Journal of Science in Sport and Exercise. 2025;7(4):449-459 (online 2024).

Found by

Full reads of every page that cites Burke et al. against the paper (impact sweep Q237, opened when a check found the study cited under journals it was not published in); the study page drafted in Q237, 2026-10-07

Free weights against machines: the exercise selection guide got several details of the review wrong

GuideExercise selection for muscle growth: 6 debates, 1 real variable

What it said

The guide said the machines review had already answered questions about cable tension and resistance curves, that muscles do not care whether tension arrives "via a cable stack, a barbell, or a plate-loaded lever", and its hierarchy chart credited the review's "13 studies · 1,016 participants" with finding zero difference for equipment, grip width and stance.

What it says now

It says the review excluded free-moving cable machines and variable-resistance equipment, so it does not answer those questions; that in these studies it made no significant difference to growth whether tension came from free weights or machines; and the chart credits the review only for equipment, with its five studies of muscle growth.

Why, and the source

Haugen et al. 2023 compared free weights (dumbbells and barbells) with machines, excluded cable machines without a fixed path and variable-resistance equipment, and did not test grip width or stance. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the guide and the study notes drafted in Q235, 2026-10-07

Exercise selection guide: its caveat said almost all the evidence came from young trained men under 40

GuideExercise selection for muscle growth: 6 debates, 1 real variable

What it said

The guide, its citation summary and its audio said almost all of its evidence comes from young trained men under 40.

What it says now

They say the people studied vary from question to question and several samples are small: the machines review took in adults aged 18 to 60, most of them men, and the leg study was 28 young, resistance-trained adults.

Why, and the source

Haugen et al. 2023, which supplies 1,016 of the guide's 2,193 participants, included adults aged 18 to 60; 219 of its participants were women, and by the authors' count seven of its 13 studies involved untrained participants. "Young trained men under 40" does not describe it. The guide was written from our notes on the papers, and our checks compared it with those notes. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the guide and the study notes drafted in Q235, 2026-10-07

Free weights against machines: the exercise selection guide gave strength results without their conditions

GuideExercise selection for muscle growth: 6 debates, 1 real variable

What it said

The guide said the one area where equipment mattered was strength and that "the result went the wrong way for the free-weight crowd": machines "produced significantly greater strength gains" for upper-body pressing, the free-weight group "gained more lower-body strength, but only on the exact lifts they practiced", and "the most experienced lifters showed the smallest differences of all" ("the more training years you have, the less it matters what you train on").

What it says now

It says that tested on free weights, free-weight training gained more strength (no longer significant without one large study), and tested on machines, machine training tended to; that tested each on its own equipment the groups showed no significant difference overall, with the machine groups ahead for upper-body pressing and no difference for the lower body. The line about experienced lifters is gone.

Why, and the source

Haugen et al. 2023 found free-weight training gained significantly more strength on free-weight tests (p = 0.023), a result that was no longer significant without one study, and machine training tended to gain more on machine tests (p = 0.064). With each group tested on its own equipment there was no significant difference overall; upper-body strength increased more with machines (p = 0.003) and lower-body strength did not differ (p = 0.750). Training status was analysed for strength only, never for muscle growth; "trained" meant clearing a strength threshold rather than years of training; and the trained and untrained studies did not differ in any of the three strength analyses (p = 0.574, 0.427 and 0.483). The same causes were corrected on three Shorts, the study page and the claim (records 2026-10-06-free-weights-machines-strength-results-misreported, 2026-10-07-free-weights-machines-study-page-strength-conditions, 2026-10-07-free-weights-machines-strength-result-told-as-muscle, 2026-10-07-free-weights-machines-claim-strength-conditions and 2026-10-07-free-weights-machines-claim-strength-result-told-as-muscle). Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the guide and the study notes drafted in Q235, 2026-10-07

Free weights against machines: the exercise selection guide presented a trial inside the review as separate confirmation

GuideExercise selection for muscle growth: 6 debates, 1 real variable

What it said

The guide said "a separate trial that included both men and women confirmed the same result".

What it says now

It says the 2020 trial is one of the five studies in the review that measured muscle growth, so it is part of that result, not a separate confirmation.

Why, and the source

Schwanbeck et al. 2020 is one of the 13 studies Haugen et al. 2023 pooled, and one of its five muscle-growth studies. The same error was corrected on a Short, the study page and the claim (records 2026-10-06-free-weights-machines-included-trial-called-independent, 2026-10-07-free-weights-machines-study-page-included-trial-independent and 2026-10-07-free-weights-machines-claim-included-trial-independent). Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the guide and the study notes drafted in Q235, 2026-10-07

Free weights against machines: the exercise selection guide and three study pages overstated the muscle result

GuideExercise selection for muscle growth: 6 debates, 1 real variable StudyCurls vs Compounds: Similar Total Muscle, Different Shape StudyYour First Exercise Gets Stronger, Not Bigger (11 Studies) StudyLeg Press vs Leg Extension: They Don’t Build the Same Quad

What it said

The exercise selection guide said "Machines build exactly as much muscle as free weights. Thirteen studies, 1,016 people, zero difference", called its source "the largest analysis ever conducted on this question", said the two produced "identical muscle growth. Not similar", that equipment "is irrelevant" and the debate "settled", and showed the machines claim at High certainty. Three study pages said the review found that machines and free weights "build the same muscle", "produce identical growth" or are "similarly settled".

What it says now

They say five of the review's 13 studies measured muscle growth and, pooled, showed no significant difference. The guide adds that the margin of error leaves room for a small-to-medium difference either way and that the authors call the evidence tentative, and it shows the machines claim at Moderate certainty, as the claim itself does since its correction.

Why, and the source

Haugen et al. 2023 included 13 studies, but only five measured muscle growth. Pooled, those five showed no significant difference (effect size −0.055, confidence interval −0.397 to 0.287); the authors call the gains similar, ask for caution because so few studies measured hypertrophy, and call the current evidence tentative. The review does not call itself the largest analysis of the question. The same overstatement was corrected on three Shorts, the study page and the claim (records 2026-10-06-free-weights-machines-muscle-result-overstated, 2026-10-07-free-weights-machines-study-page-muscle-result-overstated and 2026-10-07-free-weights-machines-claim-muscle-result-overstated), and the claim's certainty was lowered (2026-10-07-free-weights-machines-claim-certainty-reweighed). Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the guide and the study notes drafted in Q235, 2026-10-07

Free weights against machines: several details of the review were wrong on the study page

StudyDo Machines Build Muscle? 13 Studies, 1,016 People

What it said

The study page said no sensitivity analysis was needed for muscle growth; dated the injury study it cites to 2008; gave the study-derived correlations as 0.84 to 0.92; said the training-status analysis had 6 trained and 7 untrained studies; summarised the strength result in which each group was tested on its own equipment as a machine-test trend; said the strength analyses varied more between studies; said the 13 studies came from "different countries"; and said the upper-body result "surprised researchers".

What it says now

It says sensitivity analyses did not change the muscle result; dates the injury study 2010; gives the study-derived correlations as 0.79 to 0.92; gives 6 trained and 6 untrained studies; summarises that strength result as similar gains with no significant difference; says only the direct strength comparison varied significantly between studies; and no longer makes the two statements the paper does not make.

Why, and the source

Each detail was checked against Haugen et al. 2023 in a full read of the page and was wrong as written. The page was written from our notes on the paper, and our checks compared it with those notes. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the study page drafted in Q233, 2026-10-06

Free weights against machines: the study page answered a chest-press question the review did not test

StudyDo Machines Build Muscle? 13 Studies, 1,016 People

What it said

Asked whether the chest press is as effective as the bench press, the study page answered "For muscle growth, yes."

What it says now

It says the review has no chest-press-against-bench-press result for muscle growth: it pooled five studies of different exercises and programmes, with growth measured as lean mass, muscle thickness, circumferences or skinfolds, and found no significant difference.

Why, and the source

Haugen et al. 2023 pooled muscle growth across whole-body lean mass, muscle thickness, limb or chest circumferences and skinfold estimates, and report no chest-specific result. The same reading was corrected on a Short (record 2026-10-06-free-weights-machines-not-a-chest-result). Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the study page drafted in Q233, 2026-10-06

Free weights against machines: untested benefits of combining the two were stated as findings

StudyDo Machines Build Muscle? 13 Studies, 1,016 People

What it said

The study page said training on both "builds broader strength transfer than training on either alone", that combining them "loses nothing in muscle growth", and that the researchers "noted" that different exercises recruit different parts of the same muscle.

What it says now

It says the authors speculated that combining both could give more complete muscle growth, pointing to other studies in which the barbell squat did not seem to grow the rectus femoris while the leg extension did, and that the review tested neither a combined programme nor a broader strength transfer.

Why, and the source

Haugen et al. 2023 speculate that combining free weights and machines could result in more complete hypertrophy, drawing on regional-growth studies outside the review, and call for a direct comparison. The review did not test a combined programme or strength transfer from training on both. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the study page drafted in Q233, 2026-10-06

Free weights against machines: the study page gave strength results without their conditions

StudyDo Machines Build Muscle? 13 Studies, 1,016 People

What it said

The study page said machines produced significantly greater upper-body strength gains than free weights without saying how strength was tested; said a trial's machine group gained more "bench press strength"; called equipment choice "a preference, not a performance decision"; and described strength specificity as a consistent pattern in both directions.

What it says now

It says the upper-body result comes from the comparison in which each group was tested on the equipment it trained with; that the trial's 13.9% against 8.6% was Smith machine bench press strength, with no difference on the free-weight bench press; that when both groups were tested on free weights, free-weight training gained more (p = 0.023), while on machine tests the machine advantage was only a trend (p = 0.064); and that equipment is a preference for muscle growth, while for strength the authors advise training the exercise you want to be stronger in.

Why, and the source

Haugen et al. 2023 found upper-body strength increased more with machine training in the direct comparison, where machine groups were tested on machines and free-weight groups on free weights. When both groups were tested on free weights, free-weight training gained significantly more; on machine tests the machine advantage was a trend. The authors conclude strength changes are specific to the training modality. Schwanbeck et al. 2020 found a group difference only for machine bench press strength. Two strength results on three Shorts were corrected for the same cause (record 2026-10-06-free-weights-machines-strength-results-misreported). Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the study page drafted in Q233, 2026-10-06

Free weights against machines: the study page presented a trial inside the review as independent confirmation

StudyDo Machines Build Muscle? 13 Studies, 1,016 People

What it said

The study page said Schwanbeck and colleagues "tested the question independently", that "an independent team confirmed it separately", and that "Forty-six men and women trained for eight weeks".

What it says now

It says the 2020 trial is one of the 13 studies in the review and one of the five that measured muscle growth, so it is part of the pooled result, and that 46 were randomized and 36 completed.

Why, and the source

Schwanbeck et al. 2020 is one of the 13 studies Haugen et al. 2023 pooled, so its result is part of the pooled finding, not separate confirmation of it. The trial randomized 46 people; 36 (15 men, 21 women) completed it. The same error was corrected on a Short (record 2026-10-06-free-weights-machines-included-trial-called-independent). Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the study page drafted in Q233, 2026-10-06

Free weights against machines: a strength result for trained lifters was told as a muscle-growth result

StudyDo Machines Build Muscle? 13 Studies, 1,016 People

What it said

The study page said trained lifters showed "a muscle-growth difference of 0.0005", "the most perfect equivalence" in the dataset, and that the untrained subgroup showed no significant difference in muscle growth.

What it says now

It says 0.0005 is from the strength comparison in which each group was tested on the equipment it trained with, that "trained" meant clearing a strength threshold relative to body mass, that leaving out one study tipped the trained result toward machines, and that the review did not split muscle growth by training status.

Why, and the source

In Haugen et al. 2023 the training-status sub-analysis was run on the direct strength comparison: strength-trained effect size 0.0005 and untrained 0.150, not significantly different (p = 0.483). Removing one study (Augustsson 1998) revealed a difference toward machines in trained participants. The paper reports no training-status split for muscle growth, and it classed participants as trained by their strength relative to body mass. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the study page drafted in Q233, 2026-10-06

Free weights against machines: a heterogeneity statistic was told as every study agreeing

StudyDo Machines Build Muscle? 13 Studies, 1,016 People

What it said

The study page said every study "pointed the same direction" with "zero disagreement", that all 13 studies agreed ("13 of 13" in its chart data), and graded the muscle finding "moderate-to-high" confidence on that basis.

What it says now

It says the five studies that measured muscle growth varied no more than chance would predict (I² = 0), and grades the finding moderate.

Why, and the source

Haugen et al. 2023 report no significant between-study variance in the hypertrophy analysis (Q = 0.38, I² = 0.00, p = 0.98). That says the five studies' results varied no more than chance would explain; it does not say each study pointed the same way. The muscle analysis had five studies, not 13. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the study page drafted in Q233, 2026-10-06

Free weights against machines: a p-value was read as the chance of the result

StudyDo Machines Build Muscle? 13 Studies, 1,016 People

What it said

The study page said: "The probability of seeing a gap this small by chance? About 75%."

What it says now

It says the gap was not statistically significant (p = 0.751): a gap at least that large would turn up often by chance even if the two kinds of training worked the same.

Why, and the source

Haugen et al. 2023 report p = 0.751 for the muscle-growth comparison. A p-value is the probability of a difference at least as large as the one observed if there were no true difference; it is not the chance of seeing a gap "this small", and it is not the probability that the result is due to chance. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the study page drafted in Q233, 2026-10-06

Free weights against machines: the study page overstated the muscle result and credited it to all 13 studies

StudyDo Machines Build Muscle? 13 Studies, 1,016 People

What it said

The study page said 13 studies and 1,016 people found "identical" muscle growth and "zero difference", a gap "smaller than the measurement noise" that "a researcher with an ultrasound could not reliably tell" apart, that the hierarchy had "no scientific foundation", that the equipment question was "settled", and that both kinds of training "lead to the same long-term metabolic outcome".

What it says now

It says five of the 13 studies measured muscle growth and found no significant difference (effect size −0.055, p = 0.751), that the confidence interval leaves room for a small-to-medium difference either way, and that the authors call the evidence tentative. It no longer draws a metabolic conclusion the review did not test.

Why, and the source

Haugen et al. 2023 included 13 studies, but only five measured muscle growth. Those five showed no significant difference; the authors call the gains similar, ask for caution because so few studies measured hypertrophy, and call the current evidence tentative. The paper says nothing about measurement noise or what an ultrasound could detect, and it measured strength, jump height and muscle growth, not metabolism. The same overstatement was corrected on three Shorts (record 2026-10-06-free-weights-machines-muscle-result-overstated); this study page carried it too. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the study page drafted in Q233, 2026-10-06

Free weights against machines: the claim named the wrong journal for the 2023 review

ClaimDo Machines Build as Much Muscle as Free Weights?

What it said

The claim's citation named the journal of Haugen et al. 2023 as Sports Medicine.

What it says now

It names BMC Sports Science, Medicine and Rehabilitation.

Why, and the source

Haugen et al. 2023 was published in BMC Sports Science, Medicine and Rehabilitation. The same error was corrected on two Shorts (record 2026-10-06-free-weights-machines-review-wrong-journal-title-authors). Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

Free weights against machines: the claim told a strength result for trained lifters as a muscle-growth result

ClaimDo Machines Build as Much Muscle as Free Weights?

What it said

The claim said the muscle-growth equivalence "held regardless of training experience" and "for beginners and experienced lifters alike", that trained lifters showed "nearly zero growth difference" (an effect size of 0.0005), and that the idea of graduating from machines "has no basis in the hypertrophy data".

What it says now

It says 0.0005 is from the strength comparison in which each group was tested on the equipment it trained with, that "trained" meant clearing a strength threshold relative to body mass, that leaving out one study tipped the trained result toward machines, and that the review did not split muscle growth by training experience.

Why, and the source

In Haugen et al. 2023 the training-status sub-analysis was run on the direct strength comparison: strength-trained effect size 0.0005 and untrained 0.150, not significantly different (p = 0.483). Removing one study revealed a difference toward machines in trained participants. The paper reports no training-status split for muscle growth. The same error is corrected on the study page. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

Free weights against machines: the claim gave strength results without their conditions

ClaimDo Machines Build as Much Muscle as Free Weights?

What it said

The claim said that across every outcome "only one finding broke the pattern", that machines outperformed free weights for upper-body strength without saying how strength was tested, that the strength advantage "disappeared entirely" when each group was tested on what it trained, that a barbell squatter's squat "will outpace" a leg presser's, and, for lifters adding machine work, that "the evidence is direct" and that machine work "won't inflate" a squat.

What it says now

It says that when both groups were tested on free weights, free-weight training gained more strength, and on machine tests machine training tended to; that tested on their own equipment the groups showed no significant difference; that the upper-body result comes from that comparison and did not differ significantly from the lower-body one (p = 0.104); and that on strength transfer the evidence is mixed: in the 2020 trial, machine-only training raised free-weight squat and bench press strength with no difference from free-weight training.

Why, and the source

Haugen et al. 2023 found free-weight training gained significantly more strength on free-weight tests (p = 0.023) and machine training tended to gain more on machine tests (p = 0.064). In the comparison where each group was tested on its own equipment there was no significant difference overall; within it, upper-body strength increased more with machines (p = 0.003), while the upper- against lower-body difference was not significant. In Schwanbeck et al. 2020, one of the five muscle-growth studies, free-weight bench press and squat strength rose in both groups with no difference between them. The same cause was corrected on three Shorts (record 2026-10-06-free-weights-machines-strength-results-misreported) and on the study page. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

Free weights against machines: several details of the review were wrong on the claim

ClaimDo Machines Build as Much Muscle as Free Weights?

What it said

The claim said most participants were "men under 40" training for "8 to 12 weeks" or "two to three months", that "one trial included women", that the studies used "same volume, same effort", that machine exercises included "cables", that a leg press "grew the same quad muscle as a barbell squat" and a machine chest press and a barbell bench press "both grew the chest", that the finding held "for every body region", that mixing equipment gives "two entry points to the same growth", that the 2020 trial found no difference "for any outcome measure", gave a confidence interval as −0.105 to 0.273, and read the negative effect size as favoring machines.

What it says now

It says 789 of the 1,016 participants were men, that studies ran six to twelve weeks, that four studies included women (two of them women only), that the review did not adjust for volume or effort and excluded cable machines without a fixed path, that it did not split muscle growth by body region, that the authors only speculate a combination could give more complete growth, that the 2020 trial's machine group gained more Smith machine bench press strength, gives the interval as −0.106 to 0.273, and reads the negative effect size as leaning slightly toward free weights.

Why, and the source

Each detail was checked against Haugen et al. 2023 and Schwanbeck et al. 2020 in a full read of the claim and was wrong as written. The claim was written from our notes on the papers, and our checks compared it with those notes. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

Free weights against machines: the claim said a regional-growth study found the same total growth

ClaimDo Machines Build as Much Muscle as Free Weights?

What it said

Describing a study of trained lifters, the claim said two exercises for the same muscle "grew different regions" and that "total growth was the same"; one answer said the second exercise grew "the inner portion" and that a leg press and a barbell squat "may build the same total quad".

What it says now

It says the leg press grew the vastus lateralis (the outer quad) more and the leg extension the rectus femoris (the front of the thigh), that both were machines, and that where the growth landed was not the same. It no longer says total growth was the same.

Why, and the source

Burke et al. measured the thickness of two parts of the quadriceps, the rectus femoris and the vastus lateralis, and reported no total quadriceps measure; the leg extension grew the rectus femoris more and the leg press the vastus lateralis. The study compared the leg press with the leg extension, not with a barbell squat. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Korakakis PA, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. J Sci Sport Exerc. 2025;7(4):449-459.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

Free weights against machines: two claims overstated the muscle result and credited it to all 13 studies

ClaimDo Machines Build as Much Muscle as Free Weights? ClaimDoes It Matter Which Exercise You Pick for Muscle Growth?

What it said

The machines claim called its source "the largest systematic analysis" and "the biggest analysis ever done", said 13 studies and over a thousand participants found "zero difference" and "equivalent" or "the same" muscle growth, called equipment "interchangeable" and the question "settled", and answered "yes" to a full physique on machines because "a 13-study pool with over a thousand participants would have caught it". The regional growth claim said those 13 studies showed equivalent growth "when targeting the same muscle at the same angles" and that "a machine row and a barbell row build the same back".

What it says now

Both now say five of the 13 studies measured muscle growth and, pooled, showed no significant difference. The machines claim gives the effect size (−0.055, p = 0.751), says the margin of error leaves room for a small-to-medium difference either way, and that the authors call the evidence tentative. The regional claim no longer adds a condition or an exercise comparison the review does not report.

Why, and the source

Haugen et al. 2023 included 13 studies, but only five measured muscle growth. Pooled, those five showed no significant difference; the authors call the gains similar, ask for caution because so few studies measured hypertrophy, and call the current evidence tentative. The review pooled whole programmes and single exercise pairs and sets no condition such as "the same muscle at the same angles"; in its five muscle-growth studies a row was only ever one exercise in a whole programme. It does not call itself the largest analysis of the question. The same overstatement was corrected on three Shorts (record 2026-10-06-free-weights-machines-muscle-result-overstated) and on the study page. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

Free weights against machines: the claim presented a trial inside the review as independent confirmation

ClaimDo Machines Build as Much Muscle as Free Weights?

What it said

The claim said "a separate trial confirmed the finding independently", called its two sources "two independent evidence sources" and "two separate sets of research", and described the 2020 trial as "an independent RCT".

What it says now

It says the 2020 trial (46 randomized, 36 completed) is one of the 13 studies in the review and one of the five that measured muscle growth, so it is part of the pooled result and not separate confirmation.

Why, and the source

Schwanbeck et al. 2020 is one of the 13 studies Haugen et al. 2023 pooled, and one of its five muscle-growth studies. The same error was corrected on a Short (record 2026-10-06-free-weights-machines-included-trial-called-independent) and on the study page. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

Free weights against machines: the claim told a heterogeneity statistic as every study agreeing

ClaimDo Machines Build as Much Muscle as Free Weights?

What it said

The claim said "the agreement across studies was perfect: every single one pointed in the same direction", "complete agreement across all studies", "the result was the same every time", and gave "13 out of 13" studies as finding no meaningful difference.

What it says now

It says the five studies that measured muscle growth varied no more than chance would predict (I² = 0).

Why, and the source

Haugen et al. 2023 report no significant between-study variance in the hypertrophy analysis (Q = 0.38, I² = 0.00, p = 0.98). That says the five studies' results varied no more than chance would explain; it does not say each study pointed the same way. The muscle analysis had five studies, not 13. The same error is corrected on the study page. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

Free weights against machines: the claim quoted the review in words the review does not use

ClaimDo Machines Build as Much Muscle as Free Weights?

What it said

The claim's source quote read: "These pooled results suggest that total muscle hypertrophy is similar when resistance training with free weights compared to machines. The summary effect size was essentially zero (SMD = -0.055; 95% CI: -0.397 to 0.287; p = 0.751), with no evidence of between-study heterogeneity (I² = 0.00%)."

What it says now

It quotes the review's own words: "Our analysis found no difference between free-weight and machine-based strength training for hypertrophy. Both training groups induced similar hypertrophic gains during the strength training interventions lasting nine weeks on average (ES free-weight group: 0.251, ES machine group: 0.206)."

Why, and the source

The old quote does not appear anywhere in Haugen et al. 2023: it was composed from the review's numbers and presented as the authors' words. A quote must be copied from the paper. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

A study of leg exercises and regional muscle growth was cited under the wrong journal on a claim

ClaimDoes It Matter Which Exercise You Pick for Muscle Growth?

What it said

The regional growth claim's citation named the journal of Burke et al. as the Journal of Muscle Research and Active Aging.

What it says now

It names the Journal of Science in Sport and Exercise.

Why, and the source

Burke et al. ("Exercise selection differentially influences lower body regional muscle development") was published in the Journal of Science in Sport and Exercise. The same error was corrected on two Shorts (record 2026-10-06-burke-2024-wrong-journal). Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Korakakis PA, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. J Sci Sport Exerc. 2025;7(4):449-459.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal); the claim drafted in Q234, 2026-10-07

Free weights against machines: two strength results were reported without their conditions

ShortThe Chest Exercise Hierarchy That Never Existed ShortThe Equipment Hierarchy Your Muscles Ignore

What it said

One page said machines came out ahead for upper-body strength, without saying each group was tested on its own equipment; the other said the machine-test advantage was statistically significant, like the free-weight one.

What it says now

They say the upper-body result held when each group was tested on the equipment it trained with, and that the machine-test advantage was a trend that was not significant.

Why, and the source

Haugen et al. 2023 found upper-body strength gains favoured machines in the comparison where each group was tested on its own equipment (p = 0.003), with no significant difference between upper and lower body. Strength on free-weight tests favoured free-weight training (p = 0.023), but on machine tests the advantage for machine training was only a trend (p = 0.064). Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

A 2023 review of free weights against machines was cited under the wrong journal, title or authors

ShortThe Chest Exercise Hierarchy That Never Existed ShortThe Equipment Hierarchy Your Muscles Ignore

What it said

The pages named the journal as Sports Medicine; one gave the authors as "Haugen ME, Vårvik FT, Grgic J, Bjørnsen T" and an invented title, and chart data named the first author "Marius E. Haugen" or "Martin E. Haugen".

What it says now

They give the journal (BMC Sports Science, Medicine and Rehabilitation), the title and the six authors as printed.

Why, and the source

Haugen et al. 2023 was published in BMC Sports Science, Medicine and Rehabilitation by Markus E Haugen, Fredrik T Vårvik, Stian Larsen, Arvid S Haugen, Roland van den Tillaar and Thomas Bjørnsen. Jozo Grgic is not an author. Our pages built the citation from memory instead of copying it from the paper. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Free weights against machines: the review was said to include 1,090 people; it included 1,016

What it said

The page said the 13-study review of machines against free weights covered 1,090 participants.

What it says now

It says 1,016, the number the paper reports.

Why, and the source

Haugen et al. 2023 report 13 studies with a total of 1016 participants (789 men, 219 women). 1,090 is the participant count of a different meta-analysis. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Free weights against machines: the review's prediction interval was read as proof of no difference

ShortThe Chest Exercise Hierarchy That Never Existed ShortThe Equipment Hierarchy Your Muscles Ignore

What it said

The For Researchers sections said the prediction interval showed "the null finding is robust across study contexts" and that "no subpopulation [was] expected to show meaningful hypertrophy differences".

What it says now

They say the prediction interval reaches effects the authors' scale calls medium to large in either direction, and that the authors urge caution.

Why, and the source

Haugen et al. 2023 report a prediction interval of −0.611 to 0.500 for muscle growth. On the paper's own scale, 0.5 to 0.8 is a large effect. A range that wide shows how far the effect could lie from zero in a new setting; it does not show that no difference exists. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Free weights against machines: the review's muscle result was told as chest growth

ShortThe Chest Exercise Hierarchy That Never Existed

What it said

The page said bench press and machine alternatives "produce identical chest muscle growth", with "zero difference in chest muscle growth" on its chart, and that combining both may give more complete chest development because exercises load different regions of the pectoral muscle.

What it says now

It says machines and free weights produced similar muscle growth, measured as lean mass, muscle thickness, circumferences or skinfolds rather than chest muscle alone, and gives the authors' idea of combining both as their speculation about muscle growth in general.

Why, and the source

Haugen et al. 2023 pooled muscle growth across whole-body lean mass, muscle thickness, limb or chest circumferences and skinfold estimates. The one chest measurement was averaged with arm and thigh. The review reports no chest-specific result. The authors' speculation that combining both could maximise muscle growth rests on regional growth seen in other studies, not on any chest measurement, and they call for a direct test. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Free weights against machines: the muscle-growth result was overstated and credited to all 13 studies

ShortThe Chest Exercise Hierarchy That Never Existed ShortThe Equipment Hierarchy Your Muscles Ignore ShortThe Exercise That Never Built Complete Legs

What it said

The pages said 13 studies and over a thousand people found "zero" or "equivalent" muscle growth, a difference so small that "no measurement tool in any lab" or "the most sensitive body composition scan in the world" could tell the groups apart, and in one case "across every controlled comparison ever published".

What it says now

They say five of the 13 studies measured muscle growth and found no significant difference (effect size −0.055, p = 0.751), with the authors' own call for caution.

Why, and the source

Haugen et al. 2023 included 13 studies, but only five measured muscle growth. Those five showed no significant difference between free weights and machines; the authors call the gains similar and ask for caution because so few studies measured hypertrophy. The paper says nothing about what scans or measurement tools could detect. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Free weights against machines: a strength result was given with numbers the paper does not contain

What it said

The For Researchers section gave the machine-test strength result as SMD 0.082 (CI −0.137 to 0.301; p = 0.462), "no significant difference".

What it says now

It gives the paper's result: SMD 0.291 (CI −0.017 to 0.600; p = 0.064), a trend toward machine training that was not significant.

Why, and the source

Haugen et al. 2023 report that strength in machine-based tests tended to increase more with machine training (SMD 0.291, p = 0.064). The numbers 0.082, −0.137, 0.301 and 0.462 occur nowhere in the paper. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Free weights against machines: leg extensions were said to match the barbell squat for muscle growth

What it said

The page said the leg press and leg extensions "match the barbell squat for building muscle".

What it says now

It says that in the five studies that measured growth, machine programmes (three using the leg press) showed no difference from free-weight programmes that mostly used the barbell squat.

Why, and the source

Haugen et al. 2023 report a pooled result for whole machine and free-weight programmes, not one for any single pair of exercises. Of the five studies that measured growth, only one machine programme included leg extensions, as one exercise in a whole-body programme. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Free weights against machines: a trial inside the review was presented as independent confirmation

ShortThe Chest Exercise Hierarchy That Never Existed

What it said

The page said Schwanbeck et al. 2020 (n = 46) "independently" confirmed the review's result in trained adults.

What it says now

It says Schwanbeck et al. 2020 is one of the review's thirteen studies (46 randomized, 36 completed, with on average over two years of training).

Why, and the source

Schwanbeck et al. 2020 is one of the 13 studies Haugen et al. 2023 pooled, so it cannot confirm the review independently. It randomized 46 people and 36 completed. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Free weights against machines: a chart drew the muscle result on the machine side

What it said

The chart placed the pooled muscle-growth result, and its uncertainty bands, on the side labelled "Machines built more".

What it says now

The labels are swapped so the result sits, as in the paper, very slightly on the free-weight side.

Why, and the source

In Haugen et al. 2023 a negative effect size means the free-weight group gained more (the free-weight-test result, −0.210, favoured free-weight training). The muscle result, −0.055, is therefore a trivial, non-significant lean toward free weights, not toward machines. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Dumbbells and barbells were said to make the same stabilizing demands

What it said

The page said dumbbells and barbells share "the same stabilizer demands".

What it says now

It says they are both free weights, though dumbbells demand more stabilizing.

Why, and the source

Saeterbakken, van den Tillaar and Fimland (2011) compared the Smith machine, barbell and dumbbell chest press and ranked their stability requirements in that order, with dumbbells the highest; arm-muscle activity changed with them. Dumbbells and barbells are both free weights, but their stabilizing demands differ. Source: Saeterbakken AH, van den Tillaar R, Fimland MS. A comparison of muscle activity and 1-RM strength of three chest-press exercises with different stability requirements. J Sports Sci. 2011;29(5):533-538.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Dumbbells and barbells were said to build the same muscle, a comparison no study here tested

ClaimDoes Intermittent Fasting Work for Night Shift Workers? GuideNight shift, weight gain, and what actually works: the complete evidence StudyThey Tested Fasting vs Dieting on 250 Night Shift Workers StudyShift Workers Eat 63 Extra Calories. That’s Not the Finding. ClaimWhy do shift workers eat 100-300 extra calories every day — and is it the schedule or the snacks?

What it said

The page said dumbbells "produce the same hypertrophy as barbells" and that the gap between them "cannot logically" be larger than the gap between free weights and machines, with the title "Grow Just as Much".

What it says now

It says the review of free weights against machines gives no reason to expect less growth from dumbbells, and that it did not compare dumbbells with barbells.

Why, and the source

Haugen et al. 2023 compared free-weight training, which covers both dumbbells and barbells, with machine training. It did not compare dumbbells with barbells. That the gap between two kinds of free weight is no larger is FitChef's inference, not a tested result. Source: Haugen ME, Vårvik FT, Larsen S, Haugen AS, van den Tillaar R, Bjørnsen T. Effect of free-weight vs. machine-based strength training on maximal strength, hypertrophy and jump performance – a systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2023;15:103.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

A study of leg exercises and regional muscle growth was cited under the wrong journal and title

ShortThe Equipment Hierarchy Your Muscles Ignore ShortThe Exercise That Never Built Complete Legs

What it said

The source lines named the journal of Burke et al. 2024 as the Journal of Functional Morphology and Kinesiology on one page and the Journal of Musculoskeletal Science and Practice on another, and both pages cited the study under titles it does not have.

What it says now

They name the Journal of Science in Sport and Exercise and give the title as printed.

Why, and the source

Burke et al. 2024 ("Exercise selection differentially influences lower body regional muscle development") was published in the Journal of Science in Sport and Exercise. Source: Burke R, Piñero A, Mohan AE, Hermann T, Sapuppo M, Augustin F, Coleman M, Korakakis PA, Wolf M, Swinton PA, Schoenfeld BJ. Exercise selection differentially influences lower body regional muscle development. J Sci Sport Exerc. 2025;7(4):449-459.

Found by

Full reads of every page that cites Haugen et al. 2023 against the paper (impact sweep Q180, after a keyword check found the review cited under the wrong journal, 2026-10-06)

Night-shift fasting trial: it did not show that having a structured plan, any plan, is what makes weight loss work

What it said

The pages said the trial showed "the active ingredient is dietary structure itself, not the fasting window", that "any structured eating approach works equally well", that "having any plan at all was the lever" and that "the method matters less than the commitment".

What it says now

All three plans in the trial cut energy by a similar amount, and every group had dietitian visits and study food; the authors read the results as consistent with that energy reduction. The pages now report that, and no longer credit the trial's results to structure or to having any plan.

Why, and the source

With every group on a calorie cut, a dietitian and study food, and no group without a plan, the trial cannot separate structure from those, and the paper does not claim it. An earlier correction (2026-10-04-night-shift-fasting-trial-no-do-nothing-group) fixed "both beat doing nothing"; these lines made a related claim the paper does not make. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Meal-delivery study page: one of the paper's Table 3 p values was wrongly said not to match its F statistic

StudyFree Meals Doubled Weight Loss at a Year. The Regain Came Anyway

What it said

The page said the printed p values of both centre interaction rows in Table 3, Time x Center and Time x Treatment x Center, do not follow from their F statistics and degrees of freedom.

What it says now

It says this of the Time x Treatment x Center row only.

Why, and the source

Recomputed from Table 3 of Jeffery et al. 1993: Time x Center, F(3, 417) = 0.28, gives p = .84, which matches the printed .8414. Time x Treatment x Center, F(12, 417) = 0.28, gives p = .99 against the printed .7347. Our note named both rows, so it said the paper had an inconsistency in a row where it has none. Source: Jeffery RW, Wing RR, Thorson C, Burton LR, Raether C, Harvey J, Mullen M. Strengthening Behavioral Interventions for Weight Loss: A Randomized Trial of Food Provision and Monetary Incentives. J Consult Clin Psychol. 1993;61(6):1038-1045.

Found by

Full reads of every page that cites Jeffery et al. 1993 against the paper (impact sweep, 2026-10-05)

Meal-delivery trial: the authors' suggestion that free food drew people to the meetings was overstated

ClaimDo Meal Plans Work for Weight Loss? GuideDo You Need a Personal Trainer or Coach? What Five Kinds of Paid Help Actually Do

What it said

The pages said the trial's authors wondered whether the free food was "simply a reason to show up".

What it says now

They say the authors wondered whether the free food was a reason to show up, without "simply".

Why, and the source

Jeffery et al. 1993 list free food, which "may have been an incentive for attendance and completion of homework assignments", as one of three parts of the food programme that may explain its effect, beside a detailed structured diet and food packed in set portions. They say more research is needed to tell which parts mattered. "Simply" made it sound as if the authors suspected the food worked only by getting people to the meetings. Source: Jeffery RW, Wing RR, Thorson C, Burton LR, Raether C, Harvey J, Mullen M. Strengthening Behavioral Interventions for Weight Loss: A Randomized Trial of Food Provision and Monetary Incentives. J Consult Clin Psychol. 1993;61(6):1038-1045.

Found by

Full reads of every page that cites Jeffery et al. 1993 against the paper (impact sweep, 2026-10-05)

Meal-delivery trial: both sides had the same weight-loss programme; the paper does not say they shared the same groups

ClaimDo Meal Plans Work for Weight Loss? ClaimGroup or One-to-One Weight Loss Programme: Which Works Better? GuideDo You Need a Personal Trainer or Coach? What Five Kinds of Paid Help Actually Do StudyFree Meals Doubled Weight Loss at a Year. The Regain Came Anyway

What it said

The pages said both sides of the food comparison "sat in the same weight-loss groups" or went to "the same group meetings", and compared the people given food with "people in the same group without the food".

What it says now

They say both sides went through the same group weight-loss programme, which is what the paper reports.

Why, and the source

Jeffery et al. 1993 randomised people to five treatment groups and say the behavioural treatment given with the food was identical to the treatment without it, delivered in groups of about 20. The paper never says people with and without the food met in the same groups. Our pages turned "the same programme" into "the same groups". The comparison itself stands: the programme was the same on both sides, so the difference at one year is food against no food. Source: Jeffery RW, Wing RR, Thorson C, Burton LR, Raether C, Harvey J, Mullen M. Strengthening Behavioral Interventions for Weight Loss: A Randomized Trial of Food Provision and Monetary Incentives. J Consult Clin Psychol. 1993;61(6):1038-1045.

Found by

Full reads of every page that cites Jeffery et al. 1993 against the paper (impact sweep, 2026-10-05)

A claim page showed a trial's food-diary percentages as a count of days

ClaimDoes Paying People to Lose Weight Work?

What it said

The Statistical detail box gave the 1993 Jeffery trial's food-diary figures as "Food-diary days completed: SBT + I 81 / 48 / 24; SBT 67 / 33 / 23 (Table 4)", which reads as a number of days.

What it says now

It gives them as the trial reports them: "Percentage of food days completed (Table 4): SBT + I 81% / 48% / 24%; SBT 67% / 33% / 23%", the share of assigned food-diary days that people in the incentive group and in the group without incentives filled in during weeks 1-20, 21-52 and 53-78. The figures are unchanged.

Why, and the source

The trial's Table 4 is titled "Percentage of Food Days Completed": each value is the percentage of assigned diary days completed in that period, not a count of days. When we summarised the trial for this page, the label was shortened and the unit dropped, and our number checks passed it because every digit matched the paper. The same slip was caught on our meal-plans claim before that page went live; this page was built from the same kind of summary and went live with it. Our first fact-check on claim pages now confirms each number's unit, not only its digits. Source: Jeffery RW, Wing RR, Thorson C, et al. Strengthening Behavioral Interventions for Weight Loss: A Randomized Trial of Food Provision and Monetary Incentives. Journal of Consulting and Clinical Psychology. 1993;61(6):1038-1045.

Found by

FitChef's own checks: a template fix on this claim (2026-10-02) compared its Statistical detail box with the paper, then an independent check of the fix against the paper (2026-10-05)

ClaimDoes Intermittent Fasting Work for Night Shift Workers? GuideNight shift, weight gain, and what actually works: the complete evidence StudyThey Tested Fasting vs Dieting on 250 Night Shift Workers ClaimWhy do shift workers eat 100-300 extra calories every day — and is it the schedule or the snacks?

Night-shift fasting pages: a smaller meal-replacement trial was said to show similar results

ClaimDoes Intermittent Fasting Work for Night Shift Workers? StudyThey Tested Fasting vs Dieting on 250 Night Shift Workers

What it said

"Hospital shift workers in a completely different country — no fasting involved, just structured meal replacements — lost similar weight. Different plan, same story." and "A smaller study of 50 shift workers in Sri Lanka found similar results with a structured meal replacement". The study page also marked that trial as confirming the 24-week trial and called its weight loss meaningful.

What it says now

The pages now describe it as a different plan, a low-calorie meal replacement in place of dinner, tested in 50 hospital shift workers over eight weeks with no fasting involved; the claim adds that weight came down slightly in that time, and the study page no longer marks it as confirming the trial or calls its loss meaningful.

Why, and the source

That trial compared a meal replacement at dinner with a usual diet in 50 hospital shift workers for eight weeks. Its authors report slight reductions in weight, nearly 3% in the meal-replacement group, short of the 5% usually counted as clinically meaningful. It did not test fasting, and our pages called its results similar to the 24-week trial's. Source: Sooriyaarachchi P, Jayawardena R, Pavey T, King NA. A low-calorie meal replacement improves body composition and metabolic parameters in shift workers with overweight and obesity: a randomized, controlled, parallel group trial. Nutr Metab (Lond). 2024;21:32.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: more details of the trial were wrong

ClaimDoes Intermittent Fasting Work for Night Shift Workers? GuideNight shift, weight gain, and what actually works: the complete evidence StudyThey Tested Fasting vs Dieting on 250 Night Shift Workers

What it said

The claim said the trial was "designed to answer exactly one question", that the online fasting advice for night shift workers "had no trial-level support" before it, and credited the authors' "viable alternative" conclusion to a press release; the study page said "Most fasting studies compare fasting to nothing", that a review confirmed the trial as "by far the most rigorous test in the field", that the results "Probably also" applied in the UK, New Zealand and Canada, and that "80 dropped out" (a "32% dropout rate"); the claim also gave a 32% dropout; the guide described calorie cutting as "just slightly smaller portions" and said whether fasting is easier to stick with "stays open".

What it says now

The trial had two co-primary outcomes, weight and insulin resistance; twice-a-week fasting had not been tested in night shift workers before it; "a viable alternative" is the paper's own conclusion; the line about other fasting studies is removed (the paper's background cites trials comparing modified fasting with calorie restriction); the trial is the largest and longest weight-loss trial in night shift workers; calorie cutting meant about 20% less energy with a dietitian's help; the authors say the results may not be generalisable to all groups; people stayed with all three plans at similar rates; 170 of the 250 completed the six months, so 32% did not (the paper counts 70 dropouts).

Why, and the source

Each detail was checked against the paper and was wrong as written. An earlier correction (2026-10-04-night-shift-fasting-trial-details) fixed other details of the same trial. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: more lines on the cholesterol result went beyond the paper

ClaimDoes Intermittent Fasting Work for Night Shift Workers? GuideNight shift, weight gain, and what actually works: the complete evidence StudyThey Tested Fasting vs Dieting on 250 Night Shift Workers

What it said

The guide said one fasting group showed "clearly lower cholesterol" and that "the research team who found it called it unproven"; the claim said fasting had no metabolic advantage, that the two diets produced "virtually identical outcomes on every measured dimension", and called the cholesterol result confounded by baseline weight and possibly timing-specific; the study page called it an "unexpected cholesterol benefit" and said it needed "independent confirmation".

What it says now

The group fasting on day shifts or days off ended with lower total and LDL cholesterol than calorie cutting, an exploratory result; the authors say that group's larger weight loss could have contributed and that the finding needs validating in further studies. Insulin resistance did not differ between the groups, and neither did the other secondary measures.

Why, and the source

An earlier correction (2026-10-04-night-shift-fasting-trial-cholesterol) fixed the main cholesterol lines; these further lines on the same result went beyond what the paper says. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: it tested weight loss, not a reversal of weight gained on shifts

StudyShift Workers Eat 63 Extra Calories. That’s Not the Finding. StudyThe 13-Year Threshold Nobody Told Shift Workers ClaimDoes Working Night Shifts Actually Change Your Body Composition? ClaimDoes Intermittent Fasting Work for Night Shift Workers?

What it said

The pages said the trial "showed that structured calorie reduction reverses the weight trajectory", "tested whether structured dieting can reverse the trend", that "The reversibility is not" debatable, and that it showed any structured approach "can address" the shift-work body composition change.

What it says now

The trial enrolled night shift workers with overweight or obesity whose weight had been stable for three months, and compared ways of losing weight; the pages now describe it that way.

Why, and the source

Its participants had been weight-stable before they joined, and it had no group without a diet plan, so it cannot show a reversal of weight gained on shifts. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: the 61% counts all three plans together

ClaimDoes Intermittent Fasting Work for Night Shift Workers? GuideNight shift, weight gain, and what actually works: the complete evidence StudyThey Tested Fasting vs Dieting on 250 Night Shift Workers

What it said

Next to the 61% figure the pages said "regardless of whether they fasted", "It did not matter which plan", "The number held across all three approaches" and "across ALL arms".

What it says now

61% of those who finished six months lost at least 5% of their weight, with the three plans counted together; counting everyone who started, it was 40%.

Why, and the source

The paper gives the 61% for all finishers pooled, not for each plan. An earlier correction (2026-10-04-night-shift-fasting-trial-61-percent-finishers) fixed who the 61% counts; these lines read it as holding in every plan. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: it tested which days to fast, not an eating window

What it said

The pages said the trial showed that the "timing window" or "eating window" made no difference, and that the calorie-cutting group had "no fasting windows"; several lines called the group that fasted on day shifts or days off the "day-shift" group.

What it says now

The fasting groups were asked to keep to 2,100 to 2,500 kJ on two days a week, with no timing set for those days: one group fasted on day shifts or days off, the other on night shifts, and each was compared with daily calorie cutting. The pages now say so.

Why, and the source

The paper prescribes no timing on fast days and places no restriction on how energy is spread across them; what it varied was which days were fasting days. Our pages described a different kind of fasting. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: the weight gaps were 0.2 and 0.6 kg, and the results similar, not the same

ClaimDoes Intermittent Fasting Work for Night Shift Workers? GuideNight shift, weight gain, and what actually works: the complete evidence StudyThey Tested Fasting vs Dieting on 250 Night Shift Workers

What it said

The claim and the study page gave the difference between fasting and calorie cutting alone, as "two hundred grams" and "0.2 kilograms"; the study page said "the timing advantage does not exist" and "a larger study would almost certainly have confirmed the same nothing"; the pages called the results "the same", "identical" or "equivalent".

What it says now

The trial compared each fasting schedule with daily calorie cutting: the weight gaps were 0.2 kg and 0.6 kg, neither statistically significant, and the authors judged them too small to matter clinically. The pages now say the results were similar.

Why, and the source

The paper reports both comparisons and calls the outcomes similar. It was a superiority trial, not built to show the diets are equivalent, and its authors say no difference is far more likely than a clinically important one the trial was too small to detect, not that a larger trial would certainly confirm it. Our pages reported one comparison and stated the result more firmly than the paper. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: several details of the trial were wrong

ClaimDoes Intermittent Fasting Work for Night Shift Workers? StudyThey Tested Fasting vs Dieting on 250 Night Shift Workers

What it said

The claim: "Same workers, same jobs, same rosters"; "a team in Melbourne"; meal replacements listed among the trial's plans; "Neither timing produced better weight loss than the other"; "The marker your doctor checks got better the same way"; a chart giving the calorie-restriction group 5-8 kg. The study page: one withdrawal for adverse events; "No stated conflicts of interest"; 149/250 and 170/250; dropout as 25/83 (33%) and 21/82 (27%).

What it says now

The groups were assigned at random; the trial ran in Melbourne and Adelaide; meal replacements were tested in a different trial; after adjusting for starting weight the day-shift/day-off group came out lighter than calorie restriction, which the authors put down to its finishers being heavier at the start; HbA1c did not change in any group; calorie-restriction finishers lost 5.3 kg; six people withdrew for adverse events (five unrelated to the study, one with mood changes); one author declares a consultancy with Vanda Pharmaceuticals, unrelated to this work; 149/248 and 170/248; dropout 24 (29%), 25 (33%) and 21 (27%), as the paper gives them.

Why, and the source

Each detail was checked against the paper in a full read of the page and was wrong as written. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: the cholesterol result covered total and LDL cholesterol, and weight loss may have contributed

ClaimDoes Intermittent Fasting Work for Night Shift Workers? StudyThey Tested Fasting vs Dieting on 250 Night Shift Workers

What it said

The claim said fasting and dieting "performed identically on every measure except one" (total cholesterol) and that the cholesterol gap was "larger than what the extra weight loss alone would explain"; the study page gave the cited meta-analysis as "~3.3 mg/dL LDL per extra kg".

What it says now

The group fasting on day shifts or days off ended with lower total and LDL cholesterol than the calorie-restriction group, an exploratory result. The authors note that group's larger weight loss could have contributed and that the finding needs validating. The meta-analysis they cite gives 1.28 mg/dL lower LDL per kg lost.

Why, and the source

Both total and LDL cholesterol differed; the paper names the larger weight loss as a possible contributor rather than ruling it out; 3.3 mg/dL was our total for 2.6 kg, given as a per-kg figure. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: wrong DOI and a made-up title in the guide's source list

GuideNight shift, weight gain, and what actually works: the complete evidence

What it said

DOI 10.1016/j.ebiom.2025.105669 and the title "SWIFt: intermittent fasting vs continuous energy restriction in shift workers".

What it says now

DOI 10.1016/j.ebiom.2025.105803 and the paper's title, "Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial".

Why, and the source

The DOI was not the paper's (the paper gives 10.1016/j.ebiom.2025.105803), and the title was composed rather than copied from the paper. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting claim: a quote shown as the paper's was not in the paper

ClaimDoes Intermittent Fasting Work for Night Shift Workers?

What it said

A quote presented as the paper's: "...These findings suggest that for night shift workers with overweight/obesity, CER may be preferred over modified intermittent fasting due to its simplicity and fewer reported adverse events."

What it says now

The paper's own words: "At 24 weeks, weight and HOMA-IR were not different between the modified IF groups compared with CER. Clinically significant improvements in weight and metabolic health were achieved for the majority of night shift workers who remained in the intervention at 24 weeks."

Why, and the source

The quoted sentences are not in the paper, and their advice to prefer calorie restriction reverses the authors' conclusion that intermittent fasting is a viable alternative to it. Our pipeline wrote them and presented them as a quote. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: 61% is of those who finished six months; of everyone who started it was 40%

GuideNight shift, weight gain, and what actually works: the complete evidence

What it said

"most people who tried any steady approach made it work"; "When shift workers tried any structured eating plan, roughly six in ten lost real weight"; "61% lost real weight" in its summary line, and "On any plan" under its 61% figure.

What it says now

61% of those who stayed in the trial for six months lost at least 5% of their weight; counted against everyone who started, it was 40%.

Why, and the source

The paper reports 61% of those who provided 24-week data and 40% of everyone randomised. "Tried" counted the wrong group. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: it had no do-nothing group, so it cannot show the diets "beat doing nothing"

ClaimDoes Intermittent Fasting Work for Night Shift Workers? GuideNight shift, weight gain, and what actually works: the complete evidence

What it said

"Both beat doing nothing" (the claim's audio, the guide's text and audio). The guide also described the trial as testing "whether any structured eating plan actually works for shift workers" and asked "does structured eating reverse the damage?".

What it says now

The trial compared two fasting schedules with daily calorie restriction. It had no group without a diet plan, so it cannot say how either compares with doing nothing.

Why, and the source

The paper states that a non-intervention control arm was not included. Our pages read the weight lost within each group as a win over doing nothing. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

Night-shift fasting trial: the headaches were reported during weight loss and called mild, not "persistent" or "lasting"

ClaimDoes Intermittent Fasting Work for Night Shift Workers? GuideNight shift, weight gain, and what actually works: the complete evidence StudyThey Tested Fasting vs Dieting on 250 Night Shift Workers

What it said

The claim said about one in five fasters "developed persistent headaches", called them "documented side effects of intermittent fasting, not signs that the body is ‘adapting’" and "a cost with no payoff"; the guide said "lasting headaches"; the study page said the direction "is consistent across IF studies".

What it says now

In the trial, 19% and 22% of the two fasting groups, and none on daily calorie restriction, reported headaches during the weight-loss phase. The authors call the adverse effects mild and say they were previously associated with this kind of modified fasting. The pages now say that and no more.

Why, and the source

The paper gives no duration for the headaches, ties them to modified fasting regimens rather than intermittent fasting in general, and never tests whether they mean anything for weight loss. Our pages went beyond its adverse-event results. Source: Bonham MP, Leung GKW, Rogers M, et al. Intermittent fasting for weight loss in night shift workers: a three-arm, superiority randomised clinical trial. eBioMedicine. 2025;117:105803.

Found by

FitChef's research for a new Short on fasting headaches (2026-10-04), then a full read of every page built on the trial against the paper

A study page said the paper never compared the coaching app with the PDF plan on strength

StudyOnline vs In-Person Personal Training: Who Lasted 10 Weeks

What it said

The page said the paper never tested the online coaching app against the PDF plan on strength, so "almost identical" was only a comparison of averages. It said so in the story, the first Fast Takeaway, the audio and the summary written for AI tools, which also gave that comparison's effect size as "Not reported".

What it says now

The page says "almost identical" is a plain comparison of the two groups' averages: squat up 19.2 kg against 19.4 kg, bench press up 8.2 kg against 7.7 kg. The summary for AI tools adds that, for the squat, the paper's text reports no app-against-PDF result; for the bench press it found no significant group effect; and its Figure 2 gives mean differences for pairwise comparisons.

Why, and the source

The paper follows significant effects with Bonferroni-corrected tests between groups, and its Figure 2 caption says mean differences and standardized mean differences are provided for pairwise comparisons. Its text reports the coached group against each format for the squat, and no significant interaction or group effect for the bench press. It never says the app and the PDF were not compared. Our writer read the absence of an app-against-PDF line in the text as "never tested". Source: Gavanda S, Held S, Schrey S, Oberwetter K, Lazzaro P-GM, Pergelt M, Geisler S. Optimizing Resistance Training Outcomes: Comparing In-Person Supervision, Online Coaching, and Self-Guided Approaches: A Randomized Controlled Trial. J Strength Cond Res. 2025;39(11):1129-1137.

Found by

FitChef's own checks: the evidence check for a new claim page on personal trainers (2026-10-01) caught the same sentence in its own draft; a full read of this study page against the paper then found it here

Two pages gave a number and statements a protein meta-analysis does not

StudyThe Point Where More Protein Stops Building Muscle Short1g of Protein Per Pound Is 36% Past Where the Gains Stop

What it said

The study page gave the strength effect as "SMD 0.14 (0.03, 0.24)", called the paper "the largest meta-analysis ever conducted", said "even the highest credible estimate" lands below 1 g of protein per pound, called 2.2 g per kg "a prudent upper limit", said the ceiling held "regardless of training history", and gave the age range as "1962 to 2016". The Short on 1 g per pound called it "the largest meta-analysis" of protein and resistance training.

What it says now

The pages give the strength effect as 2.49 kg (0.64 to 4.33) and call it what was then the largest meta-analysis. The study page says the paper's range reaches 2.2 g per kg (1 g per pound), which its authors suggest may be prudent for people seeking the most muscle; that the ceiling was estimated from all 42 study groups together; and that participants averaged 35 ± 20 years (mean ± SD).

Why, and the source

The paper reports the strength effect as a mean difference of 2.49 kg; "SMD 0.14" does not appear in it. It calls itself the largest "to date" when it was published. Its confidence interval reaches 2.20 g per kg, and the authors suggest about 2.2 g per kg "may be prudent" for those seeking maximum gains. It reports the break point for all study groups together, not by training history. 1962 to 2016 are the years the studies were published. The pages were written from our notes on the paper, and our checks compared them with those notes. The fix was checked word for word against the paper and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

A full read of each page against the paper itself, for the Morton 2018 sweep (2026-09-29), and an independent check of the fix (2026-09-30)

A Short on beginner muscle growth applied an all-comers average to beginners

ShortFour Weeks of Lifting Rewired the Brain. The Muscles Came Later.

What it said

The page said "beginners who train consistently gain roughly 0.35 kg of new muscle per month", and its audio said this rate applies "once the structural phase begins".

What it says now

The page says that in a meta-analysis of 49 trials, 39 of them in untrained people, training without extra protein added roughly 0.35 kg of lean mass a month, averaged over whole programmes.

Why, and the source

The 1.1 kg behind that rate is the average gain in the meta-analysis's training-only groups, and 10 of its 49 trials were in resistance-trained people. It was measured as fat-free mass over whole programmes of 6 to 52 weeks. The pages were written from our notes on the paper, and our checks compared them with those notes. The fix was checked word for word against the paper and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

A full read of each page against the paper itself, for the Morton 2018 sweep (2026-09-29), and an independent check of the fix (2026-09-30)

A Short on monthly muscle gain misread several figures from a protein meta-analysis

Short49 Studies Measured Monthly Muscle Gain. One Variable Controlled Most of It.

What it said

The page called the supplement effect "optimal protein supplementation", put it at "less than the weight of a tennis ball per month", said age and training history "shift your personal number far more than supplementation ever could", that "your body gets better at using protein" with training, that "random chance is ruled out", and gave a monthly range "between barely anything and well over a pound".

What it says now

The page gives the average effect of adding a protein supplement, about 100 grams a month; says age and training history changed how much the protein added; gives the authors' speculation that trained muscle has less room to grow and so a greater need for protein; says the age difference was statistically significant; and says how much you gain depends mostly on the training itself.

Why, and the source

The 0.30 kg was the average effect of the supplements tested (about 35 g of protein a day) over programmes averaging 13 weeks. Age and training status changed the effect of protein; the paper reports no effect of either on the gain from training, offers the trained-muscle point as speculation, and reports no monthly range. The pages were written from our notes on the paper, and our checks compared them with those notes. The fix was checked word for word against the paper and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

A full read of each page against the paper itself, for the Morton 2018 sweep (2026-09-29), and an independent check of the fix (2026-09-30)

Three pages said more protein types were compared than the paper could compare

StudyThe Point Where More Protein Stops Building Muscle ShortThe Protein Target Your Kitchen Already Hits Short49 Studies Measured Monthly Muscle Gain. One Variable Controlled Most of It.

What it said

The pages said whey, soy, casein and whole food "all produced similar results", that "only total daily intake matters", and that timing, dose and source did not significantly change the outcome.

What it says now

The pages say whey and soy, the only sources common enough to compare, did not differ significantly, and that the authors conclude timing, dose after exercise and source play "a minor, if any, role", with total daily intake "more influential".

Why, and the source

The paper could compare only whey and soy, because too few study groups took casein or pea protein alone. The conclusion about timing, dose and source is the authors' reading of their own and earlier analyses. The pages were written from our notes on the paper, and our checks compared them with those notes. The fix was checked word for word against the paper and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

A full read of each page against the paper itself, for the Morton 2018 sweep (2026-09-29), and an independent check of the fix (2026-09-30)

Two pages read a difference between groups as fat that each person lost

StudyThe Point Where More Protein Stops Building Muscle Short49 Studies Measured Monthly Muscle Gain. One Variable Controlled Most of It.

What it said

The pages said people who took protein while lifting "lost fat and gained muscle at the same time", "lost about half a kilogram of fat" or "lost nearly a pound of body fat", "without their total body weight changing at all", and that this happened "at protein levels around the breakpoint".

What it says now

The pages say the protein groups ended up with 0.41 kg less fat and 0.30 kg more lean mass than the comparison groups, with no significant difference in body weight.

Why, and the source

These are mean differences between the protein groups and comparison groups that did the same training. The paper does not report what happened within each person, and it does not relate the fat result to protein intake. The pages were written from our notes on the paper, and our checks compared them with those notes. The fix was checked word for word against the paper and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

A full read of each page against the paper itself, for the Morton 2018 sweep (2026-09-29), and an independent check of the fix (2026-09-30)

Four pages presented a protein break point as firmer than the paper does

StudyThe Point Where More Protein Stops Building Muscle Short1g of Protein Per Pound Is 36% Past Where the Gains Stop ShortThe Protein Target Your Kitchen Already Hits Short49 Studies Measured Monthly Muscle Gain. One Variable Controlled Most of It.

What it said

The pages called the paper's protein "ceiling" of 1.62 g per kg a day "solid" and "exact", said it "held across 49 trials" and that "forty-nine independent tests" all "drew the same line", said it came from "pre-registered methodology", and rated it high confidence.

What it says now

The pages say the break point came from 42 study groups (723 participants) and was not statistically significant (p = 0.079). The Shorts rate it moderate confidence.

Why, and the source

The paper presents the break point "despite not being statistically significant" and reports no pre-registration; the break point was an additional analysis of the 42 study groups that reported protein intake and a lean-mass change by DXA. The pages were written from our notes on the paper, and our checks compared them with those notes. The fix was checked word for word against the paper and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

A full read of each page against the paper itself, for the Morton 2018 sweep (2026-09-29), and an independent check of the fix (2026-09-30)

Five pages turned a protein meta-analysis's strength figure into a share of muscle growth

StudyThe Point Where More Protein Stops Building Muscle Short1g of Protein Per Pound Is 36% Past Where the Gains Stop ShortThe Protein Target Your Kitchen Already Hits Short49 Studies Measured Monthly Muscle Gain. One Variable Controlled Most of It. ShortFour Weeks of Lifting Rewired the Brain. The Muscles Came Later.

What it said

The pages said training "accounts for roughly 91%" of muscle gains (one said 73%), or of the "variance" in muscle and strength gains, with protein supplements making up the rest. The study page also gave the strength figures as coming from all 49 trials.

What it says now

On strength, the pages say training raised the average one-rep max by 27 kg and a protein supplement added 2.49 kg (9%), in the trials that tested one-rep max. On lean mass, they say training alone added 1.1 kg and the supplement 0.30 kg (27%). The authors call training alone "the much more potent stimulus".

Why, and the source

The paper's 9% is how much protein supplements added to the strength gain (2.49 kg on 27 kg). It gives no percentage split of muscle growth or of variance, and for lean mass the supplements added 27%, not 9%. Its one-rep max analysis pooled 28 of the 49 studies. The pages were written from our notes on the paper, and our checks compared them with those notes. The fix was checked word for word against the paper and by an independent reviewer before it was applied. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

A full read of each page against the paper itself, for the Morton 2018 sweep (2026-09-29), and an independent check of the fix (2026-09-30)

A claim on women's muscle growth overstated what its two reviews found

ClaimWill Lifting Weights Make You Bulky? 29 Studies Measured the Difference

What it said

The page called the 2025 review's 0.69% "less than one percentage point" and drew it as 99.31 percent overlap; presented the 2020 review as an independent second team that reached the same percentage-growth result "with perfect agreement"; said men's larger absolute gains were "entirely explained" by starting size; said women "recover faster between sessions" and could benefit from more frequent or higher-volume training; credited the paper with "the variable that matters is effort"; said the equal rate was "confirmed by 29 studies" and that they "confirmed there is one growth process"; counted 2,815 data points as "over 2,800 people"; called the review "the largest analysis ever conducted on this question"; gave the paper a title it does not have in the chart data; and rated the evidence with a bonus for two independent research teams.

What it says now

The 0.69% is shown as a relative difference, with a worked example, and the chart draws it as men ending about 0.69% larger from the same start. The 2020 review is described as sharing an author (Greg Nuckols) and as not separating raw from percentage gains. The absolute gap is "likely due to" starting size, as the authors write. The fatigue and recovery lines follow what each review says, and the program advice follows the paper's own conclusion: training may be prescribed similarly for both sexes, with the main differences driven by goals and preferences. The page says the studies did not test toning, counts measurements, drops the superlative and uses the paper's title. The bonus is removed and the claim's certainty is lowered; it is still rated High Certainty.

Why, and the source

The papers say otherwise. Refalo et al. 2025 (PeerJ) reports the 0.69% as a relative difference between men's and women's gains, not a gap in percentage points; it calls the absolute difference a "negligible to small effect" that is "likely due to" baseline muscle size, did not study toning, left load and effort out of its analyses, and concludes that training may be prescribed similarly for both sexes, with the main differences driven by goals and individual factors. Roberts, Nuckols & Krieger 2020 (J Strength Cond Res) found no significant sex difference in muscle growth, but its effect sizes did not separate absolute from relative change, and Greg Nuckols is an author of both reviews. The page had been written from our extraction notes, a brief on the 2020 review and a summary of a Stronger by Science article rather than from the papers' own wording, and our checks compared it with those notes. Both papers were checked against Mark's pastes on 2026-09-29. Source: Refalo MC, Nuckols G, Galpin AJ, Gallagher IJ, Hamilton DL, Fyfe JJ. Sex differences in absolute and relative changes in muscle size following resistance training in healthy adults: a systematic review with Bayesian meta-analysis. PeerJ. 2025;13:e19042

Found by

SF1 for the Short on upper-body strength (KW-983), 2026-09-28; then a full read of the page against both papers and the independent Rule 31 check of the fix, 2026-09-29

A Short on first-year muscle gain said muscle growth stops at 12 to 20 weekly sets

ShortEveryone Agreed on First-Year Muscle Gain. Then Someone Measured It.

What it said

The page's FAQ said muscle growth "plateaus around twelve to twenty sets per muscle group per week" and that beyond that "additional volume stops helping". It cited the 2025 volume meta-analysis under a slightly different title, without its DOI.

What it says now

The FAQ says what that meta-analysis found: muscle gains rose as weekly sets rose, with diminishing returns, which were considerably more pronounced for strength. The citation carries the published title and the DOI.

Why, and the source

The paper says otherwise. Pelland et al. 2025 (Sports Med) found that "gains in muscle size and strength increase as volume increases", with diminishing returns; the abstract describes no plateau for muscle growth. Checked against Mark's paste of the journal page (the abstract; the full text is paywalled), 2026-09-29. Source: Pelland JC, Remmert JF, Robinson ZP, Hinson SR, Zourdos MC. The Resistance Training Dose Response: Meta-Regressions Exploring the Effects of Weekly Volume and Frequency on Muscle Hypertrophy and Strength Gains. Sports Med. 2026;56:481-505

Found by

A full read of the page against its sources for the Hubal 2005 correction (Q87), 2026-09-29

A Short on first-year muscle gain read a range of group averages as individual results

ShortEveryone Agreed on First-Year Muscle Gain. Then Someone Measured It.

What it said

The page said a meta-analysis of resistance training found individual results "ranging from zero to nearly sixteen pounds", and that "the best responder in ten weeks gained more muscle than the twenty-five-pound prediction assigns to an entire year". It called the review "the largest", and said no study has measured a full year of training, so the first-year prediction "has never been directly tested"; its search title read "Predicted, Never Measured".

What it says now

The page says the zero-to-sixteen-pound range is the spread of the study groups' average gains, not of individuals, and no longer claims a best responder. It calls the review what its authors did in 2020, the largest to date, and says its programs averaged about ten weeks. It notes that the highest group average came from a study of growth-hormone treatment. It no longer says a year of training has never been measured.

Why, and the source

The paper says otherwise. Benito et al. 2020 (Int J Environ Res Public Health) reports a range of heterogeneity from 0 to 7.2 kg; its Table 1 shows these are study-group means, and 7.2 kg (about 16 lb) is less than 20 to 25 lb. The review does not claim no year-long study exists, and trials of resistance training lasting up to 52 weeks are in another meta-analysis the page cites. The page was written from our notes on the review. Checked against Mark's pastes, 2026-09-29. Source: Benito PJ, Cupeiro R, Ramos-Campo DJ, Alcaraz PE, Rubio-Arias JÁ. A Systematic Review with Meta-Analysis of the Effect of Resistance Training on Whole-Body Muscle Growth in Healthy Adult Males. Int J Environ Res Public Health. 2020;17(4):1285

Found by

A full read of the page against its sources for the Hubal 2005 correction (Q87), 2026-09-29

A Short on first-year muscle gain credited a protein meta-analysis with a figure it does not give

ShortEveryone Agreed on First-Year Muscle Gain. Then Someone Measured It.

What it said

The page said effort in the gym "accounts for ninety-one percent of the muscle-building stimulus", and that training "explained 91 ± 5.6% of variance" in lean-mass gains, with protein supplements the rest. Its FAQ said protein's benefit "increases as you get more experienced".

What it says now

The page gives the paper's own numbers: training alone added about 1.1 kg (2.4 lb) of lean mass over programs averaging 13 weeks, and protein supplements added about 0.3 kg on top; the added effect was smaller, and not statistically significant, in untrained participants and larger in resistance-trained ones. The authors call training alone "the much more potent stimulus".

Why, and the source

The paper says otherwise. Morton et al. 2018 (Br J Sports Med) gives no 91% or ± 5.6% figure; its 9% is the part of the 1RM strength gain that protein added, not a share of muscle growth. The page was written from our notes on the paper, and our checks compared it with those notes. Checked against Mark's paste of the paper, 2026-09-29. Source: Morton RW, Murphy KT, McKellar SR, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384

Found by

A full read of the page against its sources for the Hubal 2005 correction (Q87), 2026-09-29

A Short on genetics and muscle growth misstated two reviews of men’s and women’s gains

ShortSame Program, 585 People: Muscle Size Changed From −2% to +59%

What it said

The page said a 29-study review of "over a thousand direct comparisons" found men and women differ by "less than one percentage point", so sex "explains less than 1%" of muscle growth differences, and that a second, independent review of 50 studies confirmed it with "every single study in agreement". It cited the 2025 review under a title the paper does not have.

What it says now

The page says that across 29 studies, gains relative to starting size were similar (from the same start, men would end about 0.69% larger), and that men’s absolute gains were slightly larger. It describes the 2020 review as sharing an author with the 2025 one, with 12 outcomes from 10 studies for muscle growth, and cites the 2025 review by its title.

Why, and the source

The papers say otherwise. Refalo et al. 2025 (PeerJ) pooled 68 outcomes from 29 studies and reports the 0.69% as a relative difference, not a share explained or a gap in percentage points. Roberts, Nuckols & Krieger 2020 (J Strength Cond Res) analysed 10 studies for muscle growth and reported low heterogeneity; Greg Nuckols is an author of both. The page was written from our notes on the reviews, not from their wording. Checked against Mark’s pastes, 2026-09-29. Source: Refalo MC, Nuckols G, Galpin AJ, Gallagher IJ, Hamilton DL, Fyfe JJ. Sex differences in absolute and relative changes in muscle size following resistance training in healthy adults: a systematic review with Bayesian meta-analysis. PeerJ. 2025;13:e19042

Found by

A full read of the page against both reviews for the Hubal 2005 correction, 2026-09-29

A Short on genetics and muscle growth misread its main study and named a cause it never tested

ShortSame Program, 585 People: Muscle Size Changed From −2% to +59%

What it said

The page was titled "The 30-Fold Gap in Muscle Growth Nobody Can Explain". It said that on the same 12-week program, muscle growth ranged from 2% to 59%, that every participant gained at least some muscle ("Nobody got zero"), and that genetics create that range. It said testosterone, age and effort explain almost none of it, gave two correlations as positive, and said all 585 trained in the "same gym".

What it says now

The page gives the study’s range as it is: from a 2% loss to a 59% gain in biceps size, with some people showing little to no gain, and no fold ratio. It says the paper reports no genetic result, so it cannot say how much genetics limit anyone, and reports what was tested: men and women were spread out about equally, and neither age nor training volume predicted who gained most. The study ran at eight sites.

Why, and the source

The paper says otherwise. Hubal et al. 2005 (Med Sci Sports Exerc) reports size changes of −2 to +59%, with "some subjects showing little to no gain", and correlations of −0.09 for age and for women’s training volume. It reports no genetic result and no testosterone levels. In the PDF’s text layer its minus signs are invisible characters, so the range read "2 to 59%"; the page was built from that reading, and our checks compared it with our notes rather than with the journal’s abstract. Checked against Mark’s pastes of the full text and the journal’s abstract page. Source: Hubal MJ, Gordish-Dressman H, Thompson PD, et al. Variability in Muscle Size and Strength Gain after Unilateral Resistance Training. Med Sci Sports Exerc. 2005;37(6):964-972

Found by

SF1 for the Short on upper-body strength (KW-983), 2026-09-28; then a full read of the page against the paper, 2026-09-29

A Short on first-year muscle gain misstated a review’s findings on men and women

ShortEveryone Agreed on First-Year Muscle Gain. Then Someone Measured It.

What it said

The page said men and women build muscle at "virtually the same relative rate, separated by less than one percentage point", gave the review’s absolute result (SMD = 0.19) as that same gap, and said the frameworks that set different expectations by sex solve "a problem the data does not support". It cited the review under a title the paper does not have, in Sports Medicine.

What it says now

The page reports both results: relative to starting size, gains were similar (from the same start, men would end about 0.69% larger), and men’s absolute gains were slightly larger, a negligible to small effect the authors think is likely due to men’s larger starting muscle. It cites the review by its title, in PeerJ, with its DOI.

Why, and the source

The paper says otherwise. Refalo et al. 2025 (PeerJ) reports the 0.69% as a relative difference, not a gap in percentage points, and its SMD of 0.19 as a separate, absolute result favouring males. The page was written from our notes on the review, not from the paper’s wording. Checked against Mark’s paste, 2026-09-29. Source: Refalo MC, Nuckols G, Galpin AJ, Gallagher IJ, Hamilton DL, Fyfe JJ. Sex differences in absolute and relative changes in muscle size following resistance training in healthy adults: a systematic review with Bayesian meta-analysis. PeerJ. 2025;13:e19042

Found by

A full read of the page against the review for the Hubal 2005 correction, 2026-09-29

A Short on first-year muscle gain misread one study’s range of results

ShortEveryone Agreed on First-Year Muscle Gain. Then Someone Measured It.

What it said

The page said that when 585 people did the same arm-training program, muscle growth ranged from 2% to 59%, "a thirty-fold gap" between the lowest and highest responder, which it called "likely polygenic". It said all 585 trained in the "same gym", and credited the study to the Journal of Applied Physiology.

What it says now

The page gives the study’s range as it is: from a 2% loss to a 59% gain in biceps size, with some people showing little to no gain. It no longer gives a fold ratio or a genetic cause: the study did not find what explains the spread, and neither age nor training volume predicted it. The study ran at eight sites, and it is credited to Medicine & Science in Sports & Exercise.

Why, and the source

The paper says otherwise. Hubal et al. 2005 (Med Sci Sports Exerc) reports size changes of −2 to +59%: the lowest responders lost biceps size, so no fold ratio can be taken, and the paper names no genetic cause. In the PDF’s text layer its minus signs are invisible characters, so the range read "2 to 59%"; the page was written from that reading, and our checks compared it with our notes rather than with the journal’s abstract. Checked against Mark’s pastes of the full text and the journal’s abstract page. Source: Hubal MJ, Gordish-Dressman H, Thompson PD, et al. Variability in Muscle Size and Strength Gain after Unilateral Resistance Training. Med Sci Sports Exerc. 2005;37(6):964-972

Found by

SF1 for the Short on upper-body strength (KW-983), 2026-09-28; then a full read of the page against the paper, 2026-09-29

A study page gave the wrong number of studies behind a review's age and interval subgroups

StudyThe Afterburn Effect Is Real — and It Doesn’t Matter

What it said

The page said the age and interval subgroup findings rested on "only four to seven studies per subgroup".

What it says now

The page gives the review's own counts: 1 to 7 studies in the middle-aged subgroups (waist 1, body fat percentage 4, fitness 7) and 9 to 15 in the interval subgroups for body fat percentage and fitness (9 and 11, 15 and 12), with HIIT compared only with moderate cardio within each subgroup.

Why, and the source

Table 4 of the review lists 1, 4 and 7 studies in the 45-60-year waist, body-fat and VO2peak subgroups, and 9, 11, 15 and 12 studies in the interval subgroups for body fat percentage and VO2peak. Our page plan gave "4-7 studies per subgroup" for both kinds of subgroup, and the text was not checked against Table 4. The fix was checked word for word against the paper and by an independent reviewer before it was applied. Source: Guo Z, Li M, Cai J, Gong W, Liu Y, Liu Z. Effect of High-Intensity Interval Training vs. Moderate-Intensity Continuous Training on Fat Loss and Cardiorespiratory Fitness in the Young and Middle-Aged a Systematic Review and Meta-Analysis. Int J Environ Res Public Health 2023;20(6):4741.

Found by

FitChef's own checks: the source check for a new Short on how long HIIT intervals should be (2026-09-28)

A study page read a review's HIIT interval subgroups as a verdict that shorter intervals suit fitness and longer ones fat loss; the review reports no test between them

StudyThe Afterburn Effect Is Real — and It Doesn’t Matter

What it said

The page said that in this review shorter intervals (one to three minutes) were better for cardiovascular fitness while longer intervals (three minutes or more) were better for the small fat-loss advantage, called it a paradox, and advised that "if you are doing HIIT for heart health, shorter bursts with more recovery appear to work better."

What it says now

The page says the review split its trials by "interval protocol" (under 3 minutes, or 3 minutes or more) without saying what those minutes measure, compared HIIT only with moderate cardio within each group, and reports no test of one group against the other; it quotes the authors' own hedge that each group "seemed to" do more on one outcome. So the review does not show that either interval length is better for either goal. The heart-health advice is gone.

Why, and the source

The review's subgroup analysis "was only performed on the between-group effect (HIIT vs. MICT)", it reports no test between its two interval groups, and where its discussion sets the two side by side it says that HIIT of 3-minute-plus intervals "seemed to cause more reduction" in body fat percentage while HIIT of 1 to 3 minutes "seemed to promote" VO2peak more. The paper never says what its interval minutes measure, and no line of it links shorter bursts or longer recovery to heart health. Our extraction notes recorded the two subgroup results as one interval length beating the other, in a quote stitched from two sentences of the paper; the page was written from those notes, and the heart-health sentence was added in the writing. The fix was checked word for word against the paper and by an independent reviewer before it was applied. Source: Guo Z, Li M, Cai J, Gong W, Liu Y, Liu Z. Effect of High-Intensity Interval Training vs. Moderate-Intensity Continuous Training on Fat Loss and Cardiorespiratory Fitness in the Young and Middle-Aged a Systematic Review and Meta-Analysis. Int J Environ Res Public Health 2023;20(6):4741.

Found by

FitChef's own checks: the source check for a new Short on how long HIIT intervals should be (2026-09-28)

A 1999 trial's '97% fat' group did cardio as well as weights, but 5 pages presented it as a weights-only or no-cardio group

ShortYou Can Lose Fat Without Cardio. Weights Change What You Keep. ShortLifting Weights Slowed the Scale. That Was the Point. ClaimCardio vs. Weights for Fat Loss: Which Exercise Actually Changes Your Body? GuideHow fat loss actually works StudyBest Exercise to Lose Fat Not Muscle — The Scale Gets It Backwards

What it said

Five pages described a 1999 trial of overweight men as showing that adding weights to a diet made 97% of the weight lost fat, against 69% on the diet alone, as if weights were the only thing added. The Short 'lose-fat-without-cardio' used the 97% group as its no-cardio example, under the title '97% of Their Weight Loss Was Fat. No Treadmill Required.', and said it did 'no treadmill, no bike, no rowing machine'. The pages called the rest of the weight lost 'muscle', one called the underwater weighing 'body scans', and two Shorts said the groups were on the same calorie deficit. The Short 'lifting-weights-slow-scale-weight-loss' also said the trial studied women and gave a DOI ending -00013.

What it says now

The pages describe the trial's three diet groups: diet only, diet plus aerobic exercise, and diet plus the same aerobic exercise followed by strength training. They give 69, 78 and 97% as the share of each group's weight loss that was fat, and no longer call the rest muscle. The no-cardio Short adds the authors' finding that the aerobic exercise brought no body-composition advantage over diet alone, while adding heavy resistance training did, and keeps its answer, which rests on a 62-trial meta-analysis, under a new title: 'You Can Lose Fat Without Cardio. Weights Change What You Keep.' The lifting Short says men and gives the DOI ending -00014.

Why, and the source

The paper (Kraemer et al. 1999, Medicine & Science in Sports & Exercise) says the 97% group 'performed both aerobic and strength training three times per week', lifting after its aerobic session; the group that added aerobic exercise alone lost 78% as fat. Body fat was measured by underwater weighing, and the rest of the weight lost was fat-free mass (body mass minus fat mass), which includes muscle but is not the same thing. All 35 participants were men. Our notes on the paper called the 97% group the 'resistance group' and said it 'completely preserved skeletal muscle'; the pages were written from those notes rather than the paper and compared that group with the diet alone as if weights were the only thing added. Each fix was checked word for word against the paper and by an independent reviewer before it was applied. Source: Kraemer WJ, Volek JS, Clark KL, et al. Influence of exercise training on physiological and performance changes with weight loss in men. Med Sci Sports Exerc. 1999;31(9):1320-1329.

Found by

The Xie 2025 sweep found the first page on 2026-09-27 while fixing the Short lose-fat-without-cardio; reading every page that cites the trial found the other four (Rule 30 sweep, 2026-09-28)

A creatine Short called a review an '11-author expert panel' without its authors' ties to creatine makers

ShortCreatine’s 1-3 kg Water Weight: Where It Actually Goes

What it said

The Short credited Antonio et al. 2021 as an '11-author expert panel review' and did not mention the review's competing interests.

What it says now

It names them: five of the eleven authors serve on the scientific advisory board of Alzchem, a creatine manufacturer, and others have advised or received funding from companies that sell creatine; the paper lists its funding as not applicable.

Why, and the source

The review's competing-interests section lists these ties. A reader weighing a review of creatine's side effects should see them next to it. Our check of the review covered its findings but not its declarations. Source: Antonio J, et al. Common questions and misconceptions about creatine supplementation: what does the scientific evidence really show? J Int Soc Sports Nutr 2021;18:13.

Found by

The creatine water sweep's redraft of the Short (2026-09-26), under SV1's competing-interests check

A creatine Short credited a 143-study meta-analysis to the wrong first author, journal and title

ShortCreatine’s 1-3 kg Water Weight: Where It Actually Goes

What it said

The Short credited the 143-study meta-analysis to 'Bonilla et al. 2024' in 'J Sports Sci Med', under the title 'Effects of creatine supplementation on body composition: a meta-analysis of 143 RCTs', and said 8 of its trials 'directly measured whether the body mass change was water or muscle tissue'.

What it says now

It credits Pashayee-Khamene et al. 2024, 'Creatine supplementation protocols with or without training interventions on body composition: a GRADE-assessed systematic review and dose-response meta-analysis', J Int Soc Sports Nutr 21(1):2380058, and says 8 of the 143 studies used bioelectrical impedance, a method that can estimate body water.

Why, and the source

The paper's first author is Fereshteh Pashayee-Khamene, and it appeared in the Journal of the International Society of Sports Nutrition in 2024; Bonilla et al. is its first reference, a different review from 2021. The paper says 8 of 143 studies used BIA or provided body water data, and that more studies are needed to confirm body water changes; it does not say they settled water versus muscle. The Short's citation had been composed instead of copied from the paper. The same mistake was corrected on two claims and the supplements guide on 27 June 2026 (record 2026-06-27-creatine-meta-analysis-author-misattributed), but the Shorts were not checked then. Source: Pashayee-Khamene F, et al. J Int Soc Sports Nutr 2024;21(1):2380058.

Found by

SF1 for the Short does-creatine-break-a-fast (KW-980) found 'Bonilla et al.' on 19 Shorts (2026-09-26); this Short was fixed with the creatine water sweep

The creatine claim described a 2025 trial from news coverage instead of from the paper

ClaimDoes Creatine Build Real Muscle or Just Water Weight?

What it said

The page said the 2025 UNSW trial tested '54 people who were not training seriously' and 'confirmed the one condition where creatine does not work — when there is no training stimulus', under a quoted headline that creatine 'makes no difference to muscle gains'.

What it says now

The page describes the trial as the paper reports it: 63 untrained adults took 5 g of creatine a day or nothing, first for a week without exercise, then through 12 weeks of supervised resistance training. After the first week the creatine group had gained 0.51 kg more lean mass; during the training both groups gained about 2 kg, with no difference between them. The authors think creatine's 'apparent' extra benefit is likely short-term, plausibly fluid, and suggest more than 5 g a day may be needed.

Why, and the source

Desai et al. 2025 (Nutrients 17(6):1081) randomised untrained adults, and both groups then trained under supervision three times a week for 12 weeks, so it was not a trial of people who did not train. Creatine's extra lean mass came in the one week without exercise before the training; during the training it added none. Our section had been written from news reports of the trial, not from the paper. Source: Desai I, et al. The Effect of Creatine Supplementation on Lean Body Mass with and Without Resistance Training. Nutrients 2025;17(6):1081.

Found by

The chat fixing this claim's water lines checked the section against Mark's paste of the paper (2026-09-26); the Rule 31 skeptic pass removed four overstatements from the new text (2026-09-27)

Six pages said the water creatine adds goes only into the muscle cells, 'not under the skin', and does not last

ShortCreatine’s 1-3 kg Water Weight: Where It Actually Goes ShortCreatine Monohydrate vs HCL: One Has 89 Trials ShortCreatine Runs on Three Clocks. You’ve Been Watching One. ClaimDoes Creatine Build Real Muscle or Just Water Weight? Study100+ Creatine Trials Exposed: Real Muscle or Water? GuideThe Supplement Sort: What Eight Research Teams Found When They Tested Everything on the Shelf

What it said

Six pages said the water creatine adds goes into the muscle cells and 'not under the skin' (on one Short, in its title), that it makes muscles look 'fuller, not bloated', and that it is temporary: 'a first-week event', with no lasting rise in total body water in training studies of 5 to 10 weeks. The study page for the 143-study meta-analysis said the water may be 'stored inside muscle cells'.

What it says now

The pages say that creatine raises total body water, that most of it is thought to sit inside cells and some outside them, and that in some short studies the water outside cells rose as well. Several training studies of 5 to 10 weeks found no rise in total body water, while a 28-day and an 8-week trial found one. None of the studies behind these pages measured puffiness.

Why, and the source

The papers say so. Burke et al. 2023: creatine 'increases total body water', and the majority of its hydrating effect is 'generally believed' to sit inside cells, which is not all of it. Pashayee-Khamene et al. 2024: part of the fat-free mass gain may be water retention '(both extra- and intracellular)', and more studies are needed to confirm it. Antonio et al. 2021: three days of creatine raised the water outside cells in one study; training studies of 5 to 10 weeks found no rise in total body water, but Powers et al. (28 days) and Ribeiro et al. (8 weeks) did; its authors conclude that creatine 'does not always lead to water retention'. Our pages had turned 'most' into 'all', added a claim about the skin that none of these papers makes, and left out the longer trials. They were written from the gist of the reviews, not checked against their sentences. Source: Burke R, et al. Nutrients 2023;15(9):2116. Pashayee-Khamene F, et al. J Int Soc Sports Nutr 2024;21(1):2380058. Antonio J, et al. J Int Soc Sports Nutr 2021;18:13.

Found by

SF1 for the Short does-creatine-dehydrate-you (KW-981) read these pages against the papers (2026-09-26); the Rule 31 skeptic pass (2026-09-27) found the same line in more fields of three of the pages

A plant-protein claim credited a 1.6 g/kg target to a 43-trial review that never tested amounts, said the protein source stops mattering once intake is matched, and quoted a sentence the review does not contain

ClaimHow Much Protein Do You Need on a Plant-Based Diet to Build Muscle?

What it said

The page answered how much protein a plant-based lifter needs with about 1.6 g/kg a day, credited to 43 randomized trials, and said the source of protein stops mattering once enough is eaten ('the protein source debate is a dose debate in disguise'). It said 2.2 g/kg (1 g per pound) was 37% above what the evidence supports; that every subgroup (younger, older, men, women, trained, untrained) landed in the same place; that the 43 trials showed no relationship between the short-term muscle-building signal and long-term gains; and that the result for women was 'literally zero'. It quoted the review with a sentence the review does not contain, named the other plant proteins as pea, rice, wheat and hemp, called a non-randomised study an RCT and a parallel-group trial a crossover, gave the wrong review registration number and publication-bias test result, and said soy had no effect on testosterone, free testosterone or estradiol at any normal intake. It cited the 2025 review of short-term muscle-building studies (Mendes et al.) under a title that review does not have. After the rewrite went live on 26 September 2026, an independent second check against the same papers found more: the page called the five non-soy trials single proteins, although one gave oat and potato protein together; called the seven diet trials whole plant-based diets, although only one was a vegan diet; said blending rests on one short-term study, although the Mendes review lists several blend studies; said the daily target and the blending idea apply the same way to women, although both studies behind them tested only men; overstated what the blend trial showed about amino acids; called its 12-week study 'the one training study that matched intake', although every trial in the review matched protein; said in its audio that the non-soy gap 'was not about eating less protein', which the review does not show; gave the Mendes review's low certainty as due to risk of bias, where the review raised no concerns; and, in its evidence table, called wheat protein high in leucine and said the blend's amino acid profile beat that of any single plant protein, where the blend trial credits corn with the leucine and compares the blend only with its own three proteins.

What it says now

The review (Reid-McCann et al. 2025) matched protein between the groups in every trial and did not test amounts. Soy protein matched milk protein for muscle mass across 17 trials, with no difference by age or sex; other plant proteins (rice, chia, oat, potato; 5 trials) and plant-based diets (7 trials) gave less muscle than animal protein, and overall the gap was clearest in younger adults and in trials with resistance training. The page now says no trial here sets a separate target for plant-based lifters: 1.6 g/kg a day is the level one 12-week, non-randomised study of 38 untrained young men set for both groups, and the vegans on soy kept pace; it does not show whether more helps. The page quotes the review's own sentence, gives the women's result (no difference) and the men's (a trend towards animal protein that was not statistically significant), says the review cites earlier work on the short-term signal rather than testing it, and reports the testosterone review's estradiol result (no change overall, a rise in shorter trials and in trials without exercise). The Mendes review is cited under its own title, "Effects of plant- versus animal-based proteins on muscle protein synthesis: A systematic review with meta-analysis". The page also says the blend trial measured five hours after one drink, that the 1.6 g/kg study and the blend trial included only men, and that the Mendes review rated its certainty low for inconsistency and imprecision. Its evidence table now names corn as the source of the blend's leucine and methionine and pea as the source of its lysine, compares the blend with its own three proteins, and notes that the blend's lysine and methionine stayed below milk protein.

Why, and the source

The page was written from our synthesis notes, and its checks compared it with those notes rather than with the papers. The 1.6 g/kg figure comes from Hevia-Larraín et al. 2021, which set it for both groups as 'optimal protein intake', citing Morton et al. 2018; Morton's own estimate runs up to 2.2 g/kg and says about 2.2 g/kg 'may be prudent' for those seeking maximum gains, so '37% too high' was wrong as well. The quoted sentence was composed, not copied. A cross-page check while verifying a new Short on soy milk found the quote; reading the whole page against Reid-McCann 2025, Hevia-Larraín 2021, Mendes 2025, Pinckaers 2022 and Rajaie 2025 found the rest. The page's audio repeated these statements and was regenerated. Independent checks of the rewritten page against the same papers (the correction gate added on 26 September) found the later errors, and they were fixed before this record was published. Source: Reid-McCann RJ, Brennan SF, Ward NA, Logan D, McKinley MC, McEvoy CT (2025). Effect of Plant Versus Animal Protein on Muscle Mass, Strength, Physical Performance, and Sarcopenia: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Nutrition Reviews 83(7):e1581–e1603

Found by

SV1 Gate 1C (cross-content consistency) on the Short soy-milk-vs-cow-milk-for-muscle-growth (KW-978), then a full read of the page against its five papers, 2026-09-25; the Rule 30 impact map (the Mendes title) and the Rule 31 independent checks of the rewrite and of its follow-up fix, 2026-09-26

The page on a 2018 protein meta-analysis (Morton et al.) called the US National Dairy Council its funding source and left out the journal's 2020 correction of the authors' declared interests

StudyThe Point Where More Protein Stops Building Muscle

What it said

The page's citation note said the study's protein ceiling contradicts "the funding source's commercial interest", meaning the US National Dairy Council, and that this strengthened its credibility. The declared interests named only Stuart Phillips's dairy council support, and the page showed no journal notice.

What it says now

The citation note lists the authors' declared interests instead: Stuart Phillips's grant support, travel expenses and honoraria from the US National Dairy Council, and Brad Schoenfeld's advisory board role at Dymatize Nutrition, a manufacturer of sports supplements, added by a 2020 correction. The declared interests include that correction, and the page shows the journal's notice.

Why, and the source

The paper names the dairy council only under competing interests, as support Stuart Phillips received; its acknowledgments thank three Canadian research bodies (the Canada Research Chairs, the Canadian Institutes for Health Research and the Natural Science and Engineering Research Council of Canada). The journal corrected the declared interests on 17 September 2020. The note's credibility argument is not in the paper, which also found that protein supplementation increased strength and muscle gains and says about 2.2 g of protein per kg a day 'may be prudent' for those seeking maximum gains. Our page, built in April 2026, carried the original statement, no journal notice, and a citation note that called the dairy council the funding source: we had copied the interests from the paper without its correction and had not checked the funding wording against the paper. Source: Morton RW, et al. Br J Sports Med 2018;52:376-84; correction Br J Sports Med 2020;54(19):e7

Found by

A Rule 31 skeptic pass that listed which study pages carry their journal notices (2026-09-26); the skeptic pass on the fix removed the unsupported credibility argument

A study page described the BMJ's 2020 correction of the Ebbeling 2018 paper as a conflict-of-interest disclosure; the correction changed a table heading

StudyEbbeling 2018: 278 Extra Calories on Low-Carb (and Why It’s Disputed)

What it said

The study page's journal-correction notice said the paper had been corrected (BMJ 2020 Nov 3;371:m4264) and that the correction was 'related to disclosure of author conflicts of interest'. The same sentence showed on /corrections/, which builds each journal notice from the study page.

What it says now

The notice says the correction concerns Table 3: the heading of the third column, with pre-randomization data, should read 'Mean (standard error)' instead of 'Mean (SD)'.

Why, and the source

The BMJ's notice changes only that table heading and says nothing about conflicts of interest. No file in our workspace supports the old sentence: it was written when the page was built, not copied from the notice. It came to light when every past correction was re-checked against its source as pasted, and a second, independent check confirmed the new wording before it went live. Source: BMJ 2020;371:m4264, correction to Ebbeling CB et al. Effects of a low carbohydrate diet on energy expenditure during weight loss maintenance: randomized trial. BMJ 2018;363:k4583

Found by

Paste-only re-check of past corrections (Mark's paste of the BMJ notice), then the Rule 31 independent second check, 2026-09-26

A 2014 protein-overfeeding trial's untested explanation was stated as its finding on 2 Shorts, and one gave it the wrong DOI

ShortProtein Burns More Calories Than Carbs. The Long Run Is Less Clear. ShortProtein Speeds Up Metabolism. The Reason May Change.

What it said

Two Shorts said the trial showed that the extra protein calories were burned off rather than stored, and that the roughly 800 extra calories a day came from protein. One said no fat was gained at all, and one gave the DOI 10.1186/s12970-014-0044-9.

What it says now

The pages say what the trial found: about 800 more calories a day on a 4.4 g/kg protein diet, with no significant change in body fat over 8 weeks. The thermic-effect explanation is labelled as the authors' suggestion, and the pages say the trial did not measure energy burned and relied on self-reported food intake. The DOI is 10.1186/1550-2783-11-19.

Why, and the source

The pages restated the authors' speculation as a result. Found during the Guarneiri 2024 sweep of the same pages. Source: Antonio J, Peacock CA, Ellerbroek A, Fromhoff B, Silver T (2014). The effects of consuming a high protein diet (4.4 g/kg/d) on body composition in resistance-trained individuals. J Int Soc Sports Nutr 11:19

Found by

Rule 30 impact sweep for Guarneiri 2024, batch 1, 2026-09-26

The same 2024 meta-analysis of protein and the calories burned after meals was misdescribed on 3 more Shorts: one trial's 72 calories shown as the long-term effect, hypotheses stated as findings, and invented authors, titles and numbers

ShortProtein Burns More Calories Than Carbs. The Long Run Is Less Clear. ShortThe Fat-Burning Shift That Follows a Protein Meal ShortProtein Speeds Up Metabolism. The Reason May Change.

What it said

Three Shorts misdescribed the paper. Two presented one trial's 72-calorie difference in daily burn as protein's long-term or resting-metabolism advantage. They stated the authors' hypotheses (the extra burn moving from digestion to resting metabolism, more lean mass, the body adapting) as findings. Two said the long-term rise held for everyone and lasted months, that the rise after a meal held in every comparison and study design, and that the type of protein made no difference. One said the extra fat burning after meals vanished on longer diets, left out that carbohydrate burning stayed lower, and said a protein meal does not raise total calories burned. Their citations carried invented titles and authors, a wrong DOI, and subgroup and quality figures the paper does not contain.

What it says now

The pages say what the paper found. After a meal, higher-protein meals raise the heat produced. On diets of 4 days to a year, that extra heat was no longer significant, while total daily burn and resting metabolism were modestly higher: low- or very-low-certainty evidence, significant only in the studies shorter than about a month, and for resting metabolism not in studies with an average BMI of 29.75 or more. The move to resting metabolism is labelled as the authors' hypothesis. The 72 calories is described as one trial's day in a respiration chamber, with the authors' caveat that it helps only if not fully offset by eating more. The fat-burning result gives both halves: no effect on fat in 5 studies, carbohydrate burning still lower. Citations carry the paper's title, its six authors and its DOI.

Why, and the source

These pages were written from notes, and one from a source file presented as a verbatim copy of the paper that contains a wrong DOI, an invented title and results the paper does not report. The checks compared the pages with those notes, not the paper. Found by the full-impact sweep that followed the earlier correction of this paper (2026-09-25-guarneiri-2024-protein-digestion-meta-analysis-misdescribed). Audio for all three is regenerated with the fix. Source: Guarneiri LL, Adams CG, Garcia-Jackson B, Koecher K, Wilcox ML, Maki KC (2024). Effects of Varying Protein Amounts and Types on Diet-Induced Thermogenesis: A Systematic Review and Meta-Analysis. Advances in Nutrition 15(12):100332

Found by

Rule 30 impact sweep for Guarneiri 2024, batch 1, 2026-09-26

A 2024 meta-analysis of protein and the calories burned in digestion was misdescribed on 5 pages: wrong journal, a one-trial daily figure presented as the cost of digesting protein, results called 'gone' that were only not significant, invented titles and a quote the paper never wrote

ShortThe Thermic Effect of Food Is Real — and Mostly Irrelevant ShortSpicy Food Does Boost Metabolism. Here’s the Exact Number. ClaimProtein’s Thermic Edge Over Carbs and Fat — The Fine Print GuideCalories and Metabolism: Your Engine Is Fine, Your Gauge Is Broken StudyProtein Burns Its Own Calories (52 Studies Measured It)

What it said

Pages about Guarneiri et al. 2024 said it appeared in Nutrition Reviews and that digestion is about 3% of daily energy expenditure. They presented the review's 72 kcal a day, one trial's difference in total daily energy expenditure (about 3%), as the extra calories it takes to digest a high-protein meal or as 'protein's thermic advantage', sometimes 'at typical intakes', 'the energy cost of a 30-minute walk' or a '72-120 kcal' range. They said the advantage 'disappears', 'vanishes' or is 'gone' during a calorie deficit or on longer diets, where the paper found it was not statistically significant, and in other places said a meal's extra heat was still produced on long-term diets, which the paper did not find. They called it 'the largest meta-analysis ever conducted' and protein's effect 'the largest of any food'. They credited the commonly cited 20-30% digestion cost, and our calorie arithmetic built on it, to the 52 studies, and said the effect held or was robust 'across study designs and populations'. Three citations carried invented titles and one an invented co-author, a claim page quoted the paper with sentences that are not in it, the study page called the first author's firm independent, and it credited another study's insulin finding to this paper.

What it says now

The journal is Advances in Nutrition and digestion's share is about 10%, as the paper says. The 72 kcal is described as what it is: in one trial the review uses as an example, a higher-protein diet raised total daily burn by 72 calories (about 3%), and on longer diets the review credits such rises mainly to resting metabolism, not digestion. Results that were not statistically significant are called that, with their numbers (for example, 4 calorie-deficit comparisons, P = 0.407). The paper is a 2024 meta-analysis of 52 studies, which its authors describe as the first to cover both single meals and longer-term diets. The 20-30% range is labelled as the commonly cited figure and our arithmetic as ours. Citations carry the paper's real title and its six authors, the claim quotes the paper's own conclusion, and the study page says the first author's firm reports funding or consulting fees from General Mills and other food companies.

Why, and the source

The paper cited was always the right one; the descriptions around it were written from our notes and earlier drafts instead of being checked line by line against the paper. A scan while fuelling a new Short on whole-food digestion found the wrong journal, the 3% and the 72-calorie misreading on 5 pages; reading the full paper for the fix found the rest. Four pages' audio repeated some of these statements; it was regenerated with the fix. Source: Guarneiri LL, Adams CG, Garcia-Jackson B, Koecher K, Wilcox ML, Maki KC (2024). Effects of Varying Protein Amounts and Types on Diet-Induced Thermogenesis: A Systematic Review and Meta-Analysis. Advances in Nutrition 15(12):100332

Found by

SF1 fuelling of the Short 'do-you-burn-more-calories-digesting-whole-foods' (KW-979), then a full read of the paper for the site-wide fix, 2026-09-25

Frozen vegetables: our pages made the fridge comparison more one-sided than the studies found

ShortYour Fresh Vegetables Started Losing Nutrients Days Ago StudyYour Frozen Peas Have Double the Vitamin E of Fresh ClaimAre Frozen Vegetables as Nutritious as Fresh?

What it said

The study page and its audio said five days in the fridge cost fresh green beans 40% of their vitamin C while the frozen bag 'hadn't shifted'. The claim said the broccoli in the fridge 'was losing' its nutrients, that fridge-stored corn 'lost over half its beta-carotene', that frozen produce gave the same nutrient levels whatever the season or store, and that vitamin C was perfectly consistent across both studies. The Short's audio said spinach loses 75% of its vitamin C by Wednesday, three days after it is bought.

What it says now

The 40% is the gap between fridge-stored and frozen green beans: frozen beans had more vitamin C even than fresh beans bought the same day, and five days in the fridge cost 13%, a drop that was not statistically significant. The pages now say that most comparisons showed no significant difference, that frozen came out ahead more often than the reverse, and that fridge-stored broccoli kept more beta-carotene and folate than frozen, and fridge-stored spinach more vitamin C. The Short's audio gives the 75% as the loss over a week.

Why, and the source

Li et al. (2017), Tables 1 to 3: green beans had 7.7, 6.7 and 11.0 mg of vitamin C per 100 g fresh, fridge-stored and frozen; fridge-stored broccoli had 1,710 µg of beta-carotene per 100 g against 940 frozen; spinach had less vitamin C frozen than fresh or fridge-stored. The study pooled produce from six supermarkets and reports no season-by-season or store-by-store comparison. The 75% spinach figure is a seven-day loss at 4 °C (Favell, 1998, as reported by Rickman et al., 2007). Our pages turned comparisons into losses and left out the results that went the other way. Source: Li L, Pegg RB, Eitenmiller RR, Chun J-Y, Kerrihard AL. Selected nutrient analyses of fresh, fresh-stored, and frozen fruits and vegetables. J Food Compos Anal 2017;59:8-17.

Found by

Live check of the 25 September 2026 correction on the freezing Short: every page citing the same papers was checked against the papers themselves, 2026-09-25

Frozen vegetables: a study paid for by the Frozen Food Foundation was called independent

StudyYour Frozen Peas Have Double the Vitamin E of Fresh ClaimAre Frozen Vegetables as Nutritious as Fresh?

What it said

The study page called the University of Georgia team behind Li et al. (2017) 'an independent team' and its result 'independent confirmation', its audio said the research came from 'independent teams', and it said the UC Davis papers stand on 'independent academic funding'. The claim described 'two independent laboratory analyses' and 'two independent university laboratories'.

What it says now

Both pages now say 'two separate' teams or analyses and state that the Georgia study was funded by the Frozen Food Foundation, which also chose the fruits and vegetables it tested. The study page now says the UC Davis papers name no funder and declare no competing financial interest, and that their seeds were donated by Seminis Vegetable Seed Co.

Why, and the source

Li et al. (2017) state: 'This work was supported by a grant from the Frozen Food Foundation', and that the choice of produce 'was predetermined by the Frozen Food Foundation (FFF), the funding agency for this study'. Both pages disclosed that funding elsewhere, but 'independent' beside an industry-funded study tells a reader the opposite, and our rule is that industry-funded research is never called independent. The two Bouzari et al. (2015) papers name no funder at all, so 'independent academic funding' was a claim they do not make. Source: Li L, Pegg RB, Eitenmiller RR, Chun J-Y, Kerrihard AL. Selected nutrient analyses of fresh, fresh-stored, and frozen fruits and vegetables. J Food Compos Anal 2017;59:8-17.

Found by

Live check of the 25 September 2026 correction on the freezing Short: every page citing the same papers was checked against the papers themselves, 2026-09-25

Frozen vegetables: more of our lines understated what freezing and blanching cost

ShortYour Fresh Vegetables Started Losing Nutrients Days Ago StudyYour Frozen Peas Have Double the Vitamin E of Fresh ClaimAre Frozen Vegetables as Nutritious as Fresh?

What it said

The Short's summary and answer said there were 'two exceptions' (beta-carotene and myrosinase), credited both to a review that covers neither, and said everything that survives blanching holds in the freezer. The study page said the carrots' fiber loss was not caused by frozen storage, named iron as the only mineral that dropped, gave leaching as the cause of the iron drop, and said the UC Davis team thinks the heat 'cracked open cell walls'. The claim called beta-carotene 'the single clear exception', said blanching causes 'minor' iron leaching and that nutrients are 'locked in at processing', and said vitamin E, calcium and copper show no loss during frozen storage.

What it says now

All three pages now name the exceptions the papers report: beta-carotene fell by more than half over 90 days in frozen peas, spinach and carrots; frozen spinach and one of two carrot varieties had 10 to 45% less iron than fresh; frozen peas, spinach and corn had about 7 to 18% less magnesium; and both carrot varieties lost about a quarter of their fiber in frozen storage. The iron drop is placed at the blanching step, with the authors' two possible causes, iron leaching out or soil washing off. The rise in vitamin E is described as the authors describe it, as a possible effect of steam blanching. Summaries now say 'most nutrients' and 'the biggest exception', and the Short's summary box credits each source it draws on.

Why, and the source

Checked line by line against the two companion papers by Bouzari, Holstege and Barrett (2015) and, for myrosinase, Dosz and Jeffery (2013). It is the same mistake as our correction of the Short's minerals FAQ earlier on 25 September 2026 (2026-09-25-frozen-vegetables-some-minerals-and-fiber-did): lines written from the abstract turned 'most showed no difference' into 'nothing changed'. That correction fixed only the sentence it was found in. When it went live, we checked every page citing these papers against the papers themselves, and found these lines. The study also shows vitamin E slipping during frozen storage in broccoli and carrots, and it measured calcium and copper only right after processing, so 'no loss during frozen storage' was more than it showed. Source: Bouzari A, Holstege D, Barrett DM. Mineral, Fiber, and Total Phenolic Retention in Eight Fruits and Vegetables: A Comparison of Refrigerated and Frozen Storage. J Agric Food Chem 2015;63:951-956.

Found by

Live check of the 25 September 2026 correction on the freezing Short: every page citing the same papers was checked against the papers themselves, 2026-09-25

Frozen vegetables: some minerals and fiber did drop, which our FAQ said they did not

ShortYour Fresh Vegetables Started Losing Nutrients Days Ago

What it said

The FAQ 'Do frozen vegetables lose minerals and fiber?' ended: 'Minerals and fiber hold steady either way.'

What it says now

It now names the drops its source reports: frozen spinach and one carrot variety had 10 to 45% less iron than fresh, frozen peas, spinach and corn about 7 to 18% less magnesium, and both carrot varieties lost about a quarter of their fiber in frozen storage.

Why, and the source

The FAQ's source, Bouzari, Holstege and Barrett (2015), found no significant fresh-versus-frozen difference for most of the eight fruits and vegetables it tested, and that part of our answer was right. The same paper reports these exceptions: 'in spinach and carrot variety A, the frozen samples had between 10% and 45% less iron than the fresh samples'; 'Frozen peas, spinach, and corn contained between ~7% and 18% less magnesium'; 'Both varieties of carrots lost fiber (~25%) during frozen storage'. Our answer turned 'most showed no difference' into 'hold steady either way'. It was written from the paper's abstract, which says results depended on the commodity but does not list the exceptions, and our checks did not test the sentence against the full paper. The error was found when a new Short on raw versus cooked spinach, which reports the same paper's spinach result, was checked against the rest of the site. Source: Bouzari A, Holstege D, Barrett DM. Mineral, Fiber, and Total Phenolic Retention in Eight Fruits and Vegetables: A Comparison of Refrigerated and Frozen Storage. J Agric Food Chem 2015;63:951-956.

Found by

SV1 cross-content check (Gate 1C) for the Short is-raw-spinach-better-than-cooked-for-iron (KW-975), 2026-09-25

A 2010 digestion study was described as comparing matched meals; its whole-food meal had more protein and about three times the fibre

StudyFour Labs Tried to Replicate Turmeric’s 2000% Claim

What it said

The page said that whole-food meals needed nearly twice the digestive energy of processed-food meals 'made with the same macronutrients' (narrative) and 'made from the same ingredients' (Weight of Evidence card). The card added that food form may be the bigger factor in how much nutrition the body extracts.

What it says now

Both places now say that a whole-food sandwich meal cost nearly twice the digestive energy of a processed one with the same calories, and that the whole-food meal also carried more protein and about three times the fibre. The card adds that this was one meal pair and that the authors urge caution in extending it to other meals.

Why, and the source

Barr and Wright (Food & Nutrition Research, 2010) matched their two cheese-sandwich meals for calories only. The whole-food meal was 20% protein and 40% carbohydrate against 15% and 50% for the processed one, with about three times the fibre, and the breads and cheeses differed by design. The paper measured the energy spent after eating, not how much nutrition the body extracts, and its authors ask for caution in extending a single meal comparison to other meals. Our error: the study's research brief described the meals as matched for macronutrients, and the page repeated the brief instead of the paper. Source: Barr SB, Wright JC. Postprandial energy expenditure in whole-food and processed-food meals: implications for daily energy expenditure. Food Nutr Res. 2010;54:5144.

Found by

FitChef's Short Fueler, reading the paper while preparing a new Short on the same question (2026-09-25)

Training guide: the June correction of the participant total missed nine fields

GuideThe complete evidence guide to exercise and body composition

What it said

The guide's headline statistic was corrected to 8,666 participants on 2026-06-03 (see the record of that date), but nine other fields kept the old figure of 9,350: the opening hook, the key takeaway, two body paragraphs, the skeptic note, a citation capsule, the AI citation hint, the search description and a visual's description.

What it says now

Every field says 8,666, the sum of the verified participant counts of the six studies in the guide that report one. The seventh, Schoenfeld 2017, reports no total, which is what the 2026-06-03 record explains. The audio script never carried the figure.

Why, and the source

The 2026-06-03 fix changed the hero statistic and the cross-references but did not sweep the guide's prose and metadata for the same figure. Found on 2026-09-24 when every correction record was checked against its live page, the day the records went public.

Found by

Check of every correction record against its live page, 2026-09-24

Do experienced lifters need more sets? The page presented a settled split that its paper does not support

ShortThe Volume Ladder, Checked Against 67 Studies

What it said

The page said the 2025 meta-analysis found that trained lifters need more weekly sets than beginners for growth, presented the strength difference (3 to 9 sets of the lift for well-trained powerlifters against about 1 set) as settled, explained it with a mechanism the paper does not contain, said most studies measured muscle thickness, and called the analysis the largest ever published.

What it says now

For muscle growth, the analysis found no consistent difference between new and trained lifters in how much each extra weekly set added, and its authors call every such moderator result hypothesis-generating. For strength, the evidence is thinner: one cited powerlifter study found 3 to 9 direct sets of the lift were needed where 1 to 3 were not, and the authors say it warrants further investigation. The invented mechanism, the muscle-thickness claim and the superlative are gone, and the FAQ, summary, speakable, evidence pairs and descriptions were updated to match.

Why, and the source

Every line was checked against the paper and its OSF supplement (the training-status plots). Our own source notes and verdict had already overstated the strength split, and the verification gate passed a page whose mechanism paragraph contradicted its sources. This is the same page whose citation had been invented (see the record on the Pelland 2025 citations). Source: Pelland, Remmert, Robinson, Hinson and Zourdos (2025). The Resistance Training Dose-Response: Meta-Regressions Exploring the Effects of Weekly Volume and Frequency on Muscle Hypertrophy and Strength Gain. Sports Medicine 56(2):481-505

Found by

Visual Team grounding check (VT step S7), 2026-09-24

A 2025 training-volume meta-analysis was cited under invented titles and author lists on 29 pages, and called 'the largest volume analysis ever published' on 12 pages without a source

Show all 33 pages

ShortThe Volume Ladder, Checked Against 67 Studies ShortNight Shift Doesn’t Block Muscle Growth. It Collapses the Meal Pattern That Drives It. ShortYour First Set Earned the Most Growth. That’s the Worst Reason to Stop. ShortThe Muscle Growth Variable That Ended the TUT vs Load Debate ShortTraining Twice a Day Only Changed One Number ShortTwo Gym Days Build Muscle — the Days Were Never What Mattered ShortYour Calorie Surplus Was Real. Your Body Burned Part of It. ShortYour Workout Timer Measures the Wrong Thing ShortYour Muscles Don’t Count Exercises. They Count Angles. ShortWhat Rest Days Actually Control for Muscle Growth ShortEvery Training Plateau Fix Was Solving Half the Problem ShortBuilding Muscle Costs Nine Times More Than Keeping It ShortProgressive Overload Works — Just Not the Way You Think ShortHow Sleep Loss Reaches Into Protein, Fat Loss and Training ShortHow Many Sets Build Muscle? It Depends How You Count Them ShortThe Wrong Variable Behind Daily Ab Training ShortBuilding Muscle After 40: What Your Daily Protein Total Misses ShortThe Muscles That Only Grow From Isolation Work ShortYou Know How Many Sets You Did. The Number Is Wrong. ShortThe Comeback Is Faster Than the Build ShortOne Gym Day Kept Every Ounce of Muscle for Eight Months ShortEveryone Agreed on First-Year Muscle Gain. Then Someone Measured It. Short246 Athletes Deload Every 5.6 Weeks. Most Think They Don’t Need To. ShortFour Weeks of Lifting Rewired the Brain. The Muscles Came Later. ShortRest Between Sets: Same Workout, Twice the Growth, One Variable ShortExercise Has a Minimum. It’s Not the Number They Told You. ShortYour Strongest Growth Signal Built Zero Muscle ShortMuscle Confusion Was Built to Beat Plateaus. It May Be Building Them. Short14 Studies Compared Full Body and Split. The Muscles Didn’t Care. ShortWeekly Muscle Group Order: The Variable Your Muscles Can’t Detect ShortBoth Sides of Your Muscle Equation Changed After 40 ClaimHow Many Sets Per Week Do You Need to Build Muscle? GuideThe complete evidence guide to exercise and body composition

What it said

Citations of Pelland et al. 2025 (Sports Medicine) carried a made-up paper title on 29 pages, and on some of them made-up co-authors or first names. On one page the citation also gave a wrong journal volume, described the method as a Bayesian network meta-analysis, and listed 16 authors where the paper has 5. Twelve pages called it 'the largest volume analysis ever published', which neither the paper nor its abstract says.

What it says now

Every citation carries the paper's real title, 'The Resistance Training Dose-Response: Meta-Regressions Exploring the Effects of Weekly Volume and Frequency on Muscle Hypertrophy and Strength Gain', and, where the author list had been invented, its five real authors (Pelland, Remmert, Robinson, Hinson and Zourdos). The superlative now reads 'a 2025 analysis', or the page's own study count (67 studies, 2,058 participants).

Why, and the source

The paper cited was always the right one; the words around it were composed rather than copied from the grounded record. Two of our agents write citation titles into page schema without a step that copies them from the locked source identity. A first scan matched only citations carrying the DOI, which is why 12 pages that cite the paper through our own study page were found a day later; the site-wide identifier gate on our roadmap must match those too. Found and fixed 2026-09-24. Source: Pelland, Remmert, Robinson, Hinson and Zourdos (2025). The Resistance Training Dose-Response: Meta-Regressions Exploring the Effects of Weekly Volume and Frequency on Muscle Hypertrophy and Strength Gain. Sports Medicine 56(2):481-505

Found by

Visual Team grounding check on the Short 'experienced-lifters-need-more-sets' (VT step S7), then a site-wide scan, 2026-09-24

Protein powder shelf life: a temperature threshold and a heat-driven lysine loss that its source does not contain

ShortWhat the Expiration Date on Your Protein Powder Misses

What it said

The page said browning 'barely moves below about 20°C', that powder stored cool 'kept its nutritional profile well beyond eighteen months', that warm storage cost 'a meaningful share of its most important amino acids in under a year', that the chunks were 'browning products binding protein strands together', that there was 'no mold', and that nobody had checked whey isolate. Three of these also sat in the summary, speakable and research fields that search engines and AI assistants read.

What it says now

The coolest room the study tested was about 21°C, and it sets no threshold. Shelf life was judged by appearance: 9 months at most at 35°C, and at least 18 months in the cooler rooms, which is when the study stopped. Lysine, the one amino acid measured, fell over a year of storage in the higher-lactose powder, and the paper does not report it by temperature. Chunks can form when milk sugar crystallizes as it takes up moisture. Mold and bacteria stayed at low counts in sealed bags. The paper itself cites a storage study of whey isolate.

Why, and the source

Before a data visual was added, the page was checked line by line against its only source, a USDA storage study of whey protein concentrate (Tunick et al. 2016). Six statements went beyond the paper. In our process, the writing step introduced a threshold that was in neither the source notes nor the paper, and nothing on file showed that the fact-check gate had run on this page. That gate now has to prove itself on file for every Short (the linked system change). Source: Tunick MH et al. (2016). Journal of Dairy Science 99(3):2372

Found by

Visual Team grounding check (VT step S7), 2026-09-24

Four DOIs, a PubMed link and two citation titles on the alcohol dose-threshold claim were wrong

ClaimHow Many Drinks Per Week Is Too Many for Your Body Composition?

What it said

Four of the DOIs in the evidence citations on the alcohol dose-threshold claim were wrong: two pointed at real but unrelated papers and two did not exist. One PubMed link and two citation titles were also wrong, including inside the page's machine-readable markup.

What it says now

Every DOI, link and title on the page is verified against the Crossref registry. The other 17 DOIs in the cluster were checked and found correct, with exact title matches.

Why, and the source

The citation metadata had been reconstructed from memory instead of copied from verified source files during a fragmented build. The findings and numbers on the page were never affected. A DOI-verification gate is designed and queued for the pipeline.

Found by

Internal cross-pipeline checks (the trust audit, then the library supporting-fields agent), resolved by a dedicated DOI audit, 2026-08-09

Two meta-analyses had their number of included studies displayed as their participant count

Study24 Studies on Full Range of Motion. The Edge: 2.8%. ClaimAre Partial Reps as Effective as Full Range of Motion for Muscle Growth? ClaimDo You Need Isolation Exercises If You Already Do Compound Movements?

What it said

The Wolf 2023 partial-versus-full range-of-motion meta-analysis showed 24 participants (its study count) on its study page and in five evidence entries of the claim that cites it. The Rosa 2023 single-versus-multi-joint meta-analysis showed 7 in four evidence entries of its claim.

What it says now

Wolf 2023 shows 658 participants (the sum of the 23 individual study sizes its Table 1 reports) and Rosa 2023 shows 193.

Why, and the source

When a meta-analysis does not state a pooled total, the extraction step recorded the number of included studies instead, and the value passed through synthesis and both import builders unchecked. A participant-count check in the library pipeline caught it. The extraction, verification and import specs were changed so it cannot recur.

Found by

Library pipeline kill switch KS-LP1-04, 2026-07-27

ClaimDoes Creatine Build Real Muscle or Just Water Weight? ClaimWhich Supplements Actually Work for Building Muscle — and Which Are a Waste of Money? GuideThe Supplement Sort: What Eight Research Teams Found When They Tested Everything on the Shelf

Two claims and the supplements guide attributed the 2024 creatine body-composition meta-analysis to the wrong first author

What it said

Two claim pages and the supplements guide attributed the 2024 creatine body-composition meta-analysis (143 randomised trials) to 'Bonilla et al.'.

What it says now

All 36 references name the paper's actual first author, Pashayee-Khamene et al. The study page itself was already correct.

Why, and the source

During cluster planning, a prominently cited reference author (Bonilla appears as reference 1 in the paper) was confused with the paper's authors. Verified against PubMed (PMID 39042054), the publisher's page and the full text. Source: Pashayee-Khamene F, Heidari Z, Asbaghi O, et al. (2024)

Found by

Mark's manual review questioned the authorship, 2026-06-27

A Short called muscle 'the strongest predictor of calorie burn'; its source says fat-free mass, and a sibling page said the opposite

ShortWhat Really Happens to Muscle When You Stop Training

What it said

The Short on whether muscle turns to fat called muscle 'the strongest predictor of calorie burn'. Its source says fat-free mass, which includes organs and bone, not muscle alone, and a sibling page correctly notes that muscle is metabolically quiet at rest (about 6 calories per pound per day). Readers could see two FitChef pages saying opposite things.

What it says now

The page says fat-free mass is the strongest anthropometric correlate of total energy expenditure, matching its source and the sibling page.

Why, and the source

Both pages were grounded in real studies; the wording on one drifted from the source's own term. A cross-content consistency gate now checks every new page against live content for contradictions (the linked system entry).

Found by

Manual audit, 2026-06-05

The carbs guide's headline participant total was borrowed from one claim instead of computed from the guide's own studies

GuideEverything we know about carbs and body composition

What it said

The guide's headline participant total was taken from a single claim's evidence set, most of it one 68,128-participant study, rather than from the studies the guide itself analyses.

What it says now

The headline total is computed from the guide's own study set, and a verification step blocks any headline stat that cannot be reconstructed from the studies shown on the page.

Why, and the source

Internal audit found the borrowed figure made the headline unrepresentative of the guide as a whole.

Found by

Internal audit, 2026-06-03

A recipe carried a 'High Protein' badge below the EU threshold for that claim

RecipeStuffed Portobello Mushrooms with Peas & Cottage Cheese

What it said

The stuffed portobello mushrooms recipe displayed a 'High Protein' badge. Protein provides 16.7% of its energy, below the 20% that the EU nutrition-claim regulation (1924/2006) requires for 'high protein'.

What it says now

The badge reads '35g Protein', a factual statement rather than a regulated claim. The recipe pipeline now checks the threshold before assigning any nutrition badge.

Why, and the source

Found by the deep pre-scale audit's EU health-claim compliance check.

Found by

Deep pre-scale audit, check 17 (EFSA health-claim compliance), 2026-06-03

A meta-analysis page stated a participant total (684) that its paper does not report

StudyDo You Need Heavy Weights to Build Muscle? 21 Studies StudyBest Exercise to Lose Fat Not Muscle — The Scale Gets It Backwards GuideThe complete evidence guide to exercise and body composition

What it said

The Schoenfeld 2017 light-versus-heavy-load meta-analysis page stated '684 participants' across its 21 studies, in the hero, the introduction, the search description and the citation fields. The training guide's headline participant total (9,350) and a cross-reference in the Zhang 2025 exercise-and-deficit study used the same figure.

What it says now

The participant count is removed and the page keeps '21 studies', which is what the paper reports. The training guide's headline total is 8,666, and the Zhang 2025 cross-reference no longer carries the figure.

Why, and the source

Checked against the full paper (Journal of Strength and Conditioning Research 31(12):3508-3523): it reports no pooled participant total. Its Table 1 sums to 630, but that includes control groups excluded from the analysis, so the analysed number is lower and unreported; 684 appears nowhere in the paper. An unverifiable number is treated the same as a fabricated one and removed rather than replaced with an estimate. The figure had been written as a clean number in the correction of 2026-05-25. Source: Schoenfeld BJ et al. (2017). Journal of Strength and Conditioning Research 31(12):3508-3523

Found by

Deep pre-scale audit, check 1 (study number traceability), which verified 17,599 numbers across 224 pages, 2026-06-03

A sugar meta-analysis page, and the claim citing it, showed the number of pooled studies as a participant count

StudyDoes Sugar Cause Weight Gain? What 30 Trials Actually Show ClaimIs sugar — and fructose specifically — uniquely fattening compared to other carbs?

What it said

The sugar-and-body-weight meta-analysis page, and the claim that cites it, showed 'Participants: 68'. Sixty-eight is the number of studies the meta-analysis pooled (30 randomised trials and 38 prospective cohort studies), not a participant count.

What it says now

The figure is removed from both pages. The paper reports per-analysis effect sizes rather than one participant total, so no number replaces it.

Why, and the source

Internal audit traced the value to the study count. Rather than invent a total, we removed it. Source: Te Morenga et al. (2013). BMJ

Found by

Deep pre-scale audit, 2026-06-03

A study headline called a 20-minute intake figure '340 extra calories', implying a between-diet difference that is actually 508 a day

StudyHall 2019 UPF Study: 508 Hidden Calories Nobody Tasted

What it said

The headline on the Hall 2019 ultra-processed-food study read '340 extra calories'. The 340 figure is how many calories the measured eating rate delivers in a 20-minute meal; 'extra' implied it was the difference between the two diets, which is 508 calories a day.

What it says now

The headline reads '340 calories', without 'extra'. The 508-calorie daily difference stays in the key finding, where it was already stated correctly.

Why, and the source

Internal audit found the word turned a grounded number into a misleading one.

Found by

Internal audit, 2026-06-03

The shareable pull-quote on two Shorts named the wrong study as its source

ShortCarbs at Night Didn’t Hurt. They Won. ShortProcessed Food Has a Speed Problem

What it said

On the night-time carbs page, a finding from Sofer et al. 2011 (28% more weight loss with carbohydrates at dinner) was attributed to Gardner et al. 2018. On the processed-food eating-speed page, a Forde finding was attributed to Hall.

What it says now

Each pull-quote names the study it describes. A field now maps every pull-quote to its source, and a verification check confirms the match before a Short is published.

Why, and the source

The template attributed the pull-quote to the first study in the page's source list, whichever study the sentence described. Found by the Shorts scale audit.

Found by

Shorts scale audit, 2026-06-02

GuideThe Supplement Sort: What Eight Research Teams Found When They Tested Everything on the Shelf GuideProtein Intake: What 9 Studies Found (and What the Internet Added) GuideEverything we know about carbs and body composition

Six participant counts in the guides' evidence sidebars did not come from the studies and were wrong

What it said

The evidence sidebar on three guides showed participant counts that did not come from the studies' verified extraction data. In the supplements guide: 2,400 for a caffeine meta-analysis of 149 people, 814 for a BCAA review of 511, 3,600 for a creatine meta-analysis of 3,655, and 4,937 for a study of 4,755. In the protein guide: 24 for a study of 108. In the carbs guide: 1,779 for a glycaemic-index meta-analysis of 2,344.

What it says now

All six sidebar counts match the verified extraction data for each study, and each guide's sidebar total equals the total in its article text.

Why, and the source

The agent that builds the sidebar had no mandated source for participant counts, so it filled them in without one. The article text on every guide was checked and found correct; the error was confined to the sidebar layer. A rule now requires every sidebar count to come from the same grounded extraction files that feed the article (the linked system entry).

Found by

An independent AI cross-check flagged the mismatch between article text and sidebar; internal audit, 2026-05-25

Seven study pages could show a study count, or zero, as their participant count, and three claim pages carried wrong participant totals

StudyThe Point Where More Protein Stops Building Muscle StudyPsyllium vs Glucomannan: What 62 Trials Found StudyCaffeine Makes You Stronger. Here’s How Much. StudyFat Burners vs Diet & Exercise: 21 Studies, One Answer StudyFasted Cardio Study: 12 Sessions, Zero Fat Loss Advantage StudyDo You Need Heavy Weights to Build Muscle? 21 Studies StudyDo BCAAs Build Muscle? 22 Studies. One Winner. ClaimIs Fasted Cardio Actually Better for Burning Fat? ClaimDo testosterone boosters build muscle? ClaimIs sugar — and fructose specifically — uniquely fattening compared to other carbs?

What it said

On seven study pages the participant count was stored as free text (for example '49 studies, 1863 participants' or 'n=20'), and the page displayed the first number it found, so a reader could see a study count, or zero, where the participant count belongs. On three claim pages the total-participant figure was wrong.

What it says now

Each study page shows its verified participant count (for example 1,863 for the Morton 2018 protein meta-analysis, 3,877 for the viscous-fibre meta-analysis, 2,359 for the fat-burner meta-analysis, 20 for the fasted-cardio trial and 511 for the BCAA review). The three claims show 116, 303 and 11,113 participants, each checked against the studies they cite. One of the seven, the light-versus-heavy-load meta-analysis, was set to 684 here and later found to be unverifiable; see the record of 2026-06-03.

Why, and the source

A number-consistency audit found the rendering system silently misreading free-text sample sizes. Each value was re-checked against the study's grounded extraction before being written as a clean number.

Found by

Number consistency audit, 2026-05-25