Studies that show no average differences on a few fitness metrics after testosterone suppression do not demonstrate that male athletic advantages have been eliminated — group means can hide persistent individual-level edges in strength, speed, or physiology that matter for competitive outcomes. Policy and eligibility decisions therefore require sport‑specific, individual‑level performance evidence (not only small set physiological proxies) and clearer statistical standards for what 'fair' means.
— If adopted, this framing would shift policy debates from citing isolated group averages to demanding concrete, sport‑level evidence and legal tests — affecting league rules, anti‑discrimination law, and athletes' rights.
Gregory Brown
2026.10.15
100% relevant
Greg Brown (exercise‑physiology professor) critiques studies that report selected fitness measures 'no longer statistically different' after hormone treatment and uses a classroom EMG example to illustrate how group patterns can mislead about individuals.
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