The Claim

In highly cited meta-analyses of strength and conditioning research, 85% contained at least one of five identifiable statistical errors: misuse of standard error instead of standard deviation, failure to account for correlated observations, lack of study weighting, focus on within-group rather than between-group effects, and inclusion of implausible effect sizes greater than 3.0.

Source: With Great Power Comes Great Responsibility: Common Errors in Meta-Analyses and Meta-Regressions in Strength & Conditioning Research

What the research says

Supports is higher

Support is ahead, but a single strong opposing study can change this.

Supports
40score
Challenges
0score

These are independent scores, not a percentage. Higher-grade studies count more, so a single strong opposing study can outweigh several weaker ones.

Description
1 study reviewed
In plain English

A big review found that in most top-rated studies about strength and fitness training, about 85% made at least one common math mistake—like using the wrong numbers to show results or including results that seem way too extreme.

See the scientific wording

In highly cited meta-analyses of strength and conditioning research, 85% contained at least one of five identifiable statistical errors, including misuse of standard error instead of standard deviation, failure to account for correlated observations, lack of study weighting, focus on within-group rather than between-group effects, and inclusion of implausible effect sizes greater than 3.0.

What the research says

1 study
  1. Study: With Great Power Comes Great Responsibility: Common Errors in Meta-Analyses and Meta-Regressions in Strength & Conditioning Research

    This study checked the most popular science reviews in strength and conditioning and found that 85% of them made at least one of five common math mistakes—exactly what the claim says.

Score breakdown, mechanism chain, raw evidence, ideal studies needed & 1 supporting studies

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