The New York Times ran an op-ed this week that names names. In "Fitness Influencers Are Not Making Men More Fit," Baylor professor Sebastian Langdell works through the optimization canon — Peter Attia's synthetic ketones, Tim Ferriss's extreme dieting protocols, Bryan Johnson's plasma transfusions, Huberman Lab's carnivore-adjacent enthusiasm — and reports the result of taking it seriously: not vitality, but hollowness. His conclusion is that men need fitness models built around purpose, mental health and community rather than competitive self-optimization.
Operators should read the piece. But the sharper business story is underneath it: the science this whole aesthetic borrows its authority from was never built on your full member base to begin with.
The landmark "Invisible Sportswomen" analysis reviewed 5,261 sport and exercise science publications — over 12.5 million participants — from 2014 to 2020. Women made up 34% of participants. Only 6% of studies were women-only, against 31% men-only. The authors' own conclusion: most findings in sport and exercise science may only be applicable to one sex.
The protocols were tested on men, packaged as universal, and marketed to everyone.
— The Run RateSit with what that means practically. The fasting windows, the training splits, the recovery benchmarks that optimization content treats as settled human physiology are, in large part, findings about male physiology. Female physiology — hormonal cycles that shift substrate use, recovery and injury risk across the month, different adaptation curves, menopause as a decade-long training variable — is systematically under-studied. Women aren't small men, but the evidence base largely assumes they are.
Why does the sex data gap matter for studio positioning?
Because your marketing inherits your evidence base. Optimization language — grind, streaks, strain scores, biohacks — is downstream of male-default research and, per Langdell, is now failing even the men it targets. Women are the majority of boutique fitness members and the fastest-growing strength-training demographic, yet the dominant content playbook speaks a dialect built from data that mostly excluded them. That's not a culture-war observation; it's a positioning arbitrage. The operator who leads with well-being — capacity, energy, function, belonging — is speaking to the whole market while competitors address a shrinking half.
Here's the contrast, drawn as a marketing decision rather than a philosophy:
| Optimization positioning | Well-being-first positioning | |
|---|---|---|
| Language | Biohacks, grind, protocol, streaks | Energy, capacity, strength for life |
| Hero metric | Strain scores, fasting hours, PRs | How members feel and function — with community as infrastructure |
| Evidence base | Largely male-default research | Outcomes across your actual member base |
| Who it reaches | A narrow, young, male-skewing slice | The full membership, including the female majority |
| Failure mode | Burnout, guilt loops, churn | Sustainable habit, longer member lifetimes |
None of this argues against data or rigor — TRR's whole thesis is that operators should measure more, not less. It argues against borrowed authority. Members are already showing fatigue with metric-driven guilt: wearable anxiety is real enough that some studios now market screen-free sessions. And the aspirational tier of the industry is moving toward whole-person outcomes anyway — the longevity coach model sells years of quality life, not shredded quarters, and Virgin Active is rebuilding entire clubs around social wellness.
The practical move for operators: audit your own funnel language against your ICP (Ideal Customer Profile) — the member segment your business actually depends on. If your Instagram reads like a Huberman episode but your revenue depends on women 30–55 building strength and energy, your marketing is optimized for someone else's business. And where you do program from research, ask vendors and educators the question almost nobody asks: was this studied in women?
The manosphere built the loudest voice in fitness on the narrowest evidence in the field. The operators who win the next cycle will be the ones who noticed the other half of the data was missing — because that's where the other half of the market is.