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Greg Nuckols@gregnuckolsX

[Thread] Predicting and projecting strength gains over time has utility for lifters and coaches. A recent study by Steele and colleagues

what it claims

It is possible to predict and project the temporal trajectory of muscle strength gains to better guide athlete training.

holds up

Greg Nuckols draws on a study by Steele et al. to illustrate that strength gains are not random, but follow measurable patterns.

noli's read

Greg Nuckols draws on a study by Steele et al. to illustrate that strength gains are not random, but follow measurable patterns. This analysis is based on a systematic review and meta-analysis (high level of evidence), which reinforces the scientific credibility of the approach. The research confirms that a typical progression curve exists, although it is highly dependent on the athlete's level of experience and training specificity. The strength here lies in the use of aggregated data to establish realistic expectations, thereby avoiding discouragement. It is important to note, however, that interindividual variability remains high: what is true for a population average does not guarantee the exact result for a specific individual. The discussion is very measured and avoids marketing exaggeration, remaining faithful to the rigor of the cited study.

the sources

No named source held this one up — that absence is part of the verdict.

Claimed by Greg Nuckols. Noli grades the claim, never the person.

Decoded by Noli · July 18, 2026 · the original post

Greg Nuckols in the Register18 claims graded · solidity 98/100See their record →

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