The Claim

Bayesian analysis indicates anecdotal evidence (Bayes factor = 1.2) that initial partial repetitions produce greater gastrocnemius hypertrophy compared to past-failure partial repetitions.

Source: Resistance Training Beyond Momentary Failure: The Effects of Past‐Failure Partials Versus Initial Partials on Calf Muscle Hypertrophy Among a Resistance‐Trained Cohort

What the research says

Supports is higher

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

Supports
60score
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.

Correlation
1 study reviewed
In plain English

A statistical analysis found only very weak evidence that doing partial reps at the start of a workout might build slightly more calf muscle than doing them after you're exhausted — but the data doesn't strongly support either way.

See the scientific wording

Bayesian analysis of this study provides only anecdotal evidence (Bayes factor = 1.2) that initial partials produce greater gastrocnemius hypertrophy than past-failure partials, indicating the observed difference is not strongly supported by the data.

What the research says

1 study
  1. Study: Resistance Training Beyond Momentary Failure: The Effects of Past‐Failure Partials Versus Initial Partials on Calf Muscle Hypertrophy Among a Resistance‐Trained Cohort

    The study found that doing calf raises with a short range at the start might help muscles grow a little more than doing them fully and then pushing past failure, but the difference is so small and uncertain that we can't say for sure it's real — it's just a hint, not strong proof.

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

Fit Body Science verdict — we translate health claims into clear verdicts backed by peer-reviewed research.

Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.