Challenges with addressing the obesity and diabetes epidemics with Gary Taubes

Taubes makes the arithmetic explicit: COVID killed perhaps 1/10 the number of people dying annually from obesity-linked chronic disease, yet attracted orders of magnitude more research funding in compressed time. The mismatch is not explained by scientific difficulty — it is explained by political saliency. A pandemic is visible and acute; the chronic disease epidemic is invisible and slow. His proposed model borrows NASA terminology: treat obesity as the 'long pole' — the rate-limiting constraint — and fund accordingly. The research mandate must include explicit permission to reject the conventional wisdom if the evidence warrants it.

The jury model Taubes describes requires deliberately excluding domain experts: 'you can't pick obesity researchers because they have biases you certainly can't pick nutritionists because they have biases.' The insight is that expertise and impartiality are in tension here because the field has been politically charged for decades. The closest analogues are truth commissions or structured adversarial panels in law and policy — neither of which academia has a cultural template for. Taubes and Attia note they have discussed this for eight years without movement, which suggests the structural barriers are very high.

Taubes identifies Virta Health as the most important ongoing test of the carbohydrate hypothesis: a commercially-incentivized operation running a de facto clinical experiment at scale because the market rewards the outcome. The NIH has not funded an equivalent trial. Diet Doctor operates similarly at the consumer education level. Both validate the hypothesis by demonstrating that carbohydrate restriction produces glycemic improvement in a large, diverse, real-world population — the kind of evidence that is difficult to dismiss even without a randomized control.

The conventional wisdom response to every failed dietary intervention is to attribute failure to patient non-compliance, then call for precision nutrition to tailor the intervention to the individual. Taubes argues this is circular: we assume the intervention is correct, attribute failure to compliance, and never test whether the intervention itself is wrong. The 'precision nutrition' framing that the NIH is currently funding is the latest version of this deflection — highly individualized versions of the same wrong advice. A better research question: which patients comply best with which dietary macronutrient compositions, and does compliance track the carbohydrate hypothesis?

The argument has a structure: if the conventional wisdom were correct, dietary interventions based on it would have stemmed the epidemics. They have not. Therefore, either the advice is wrong, or the problem is compliance. The NIH is choosing to fund 'precision nutrition' — individualized dietary therapy — which Taubes views as doubling down on the compliance excuse rather than interrogating the underlying model. He wants a formal, well-funded red team/blue team process equivalent to what the federal government did for COVID-19 — in his framing, obesity kills roughly ten times more Americans per year than COVID did, yet received a fraction of the research urgency.

Attia describes the response time problem: 'when it comes to doritos i mean i just think if you look at the response time it has to be more central than peripheral right i mean it's barely exiting my esophagus while i'm in it.' Taubes counters that the central response is itself anticipatory — the body knows from evolutionary experience what a carbohydrate load means and prepares the peripheral response in advance. The deeper question: Attia was once 205 pounds, swimming three hours a day, eating as healthily as possible — and still gaining weight. That case cannot be explained by doritos. Some component of fat accumulation may be pre-programmed at the level of fat tissue biology, independent of behavior.

He describes the R01 mechanism: study groups of 'mostly like-minded individuals' distribute $500K grants for five years to researchers doing 'normal science' — Kuhn's term for research that fills in the existing paradigm rather than challenging it. There is no peer-review committee whose charter is to ask 'what if the paradigm is wrong?' The natural scientific ideal of self-correction assumes paradigm challenges emerge organically, but Taubes argues this assumption fails in a world of high career risk, limited funding, and epistemic monocultures. His proposed fix: populate a research jury with 'unbiased scientists who are good at what they do' specifically excluding obesity researchers and nutritionists because their career investments make them congenitally biased.

Taubes draws the contrast explicitly: 'when i was blaming the industry people love what i do as soon as i shift to blaming the scientific community for doing unacceptable science then i have trouble getting the message heard.' This is not a minor rhetorical point — it means the politically viable version of the obesity story (it's the food companies' fault) is orthogonal to the scientifically important version (the dietary guidelines were wrong). Attia agrees the challenge is getting authorities in a position of power to even question the framework, naming Francis Collins as an example of someone who could allocate resources but is insulated from the pressure to do so.

Taubes frames this as market self-correction filling the gap where scientific self-correction has failed: 'if there's money to be made then capitalism will kick in and people will take advantage of the opportunities that other people might be missing.' The implication is uncomfortable for the scientific establishment — commercial operators are now running de facto clinical experiments on the carbohydrate hypothesis that publicly-funded researchers refuse to run. The data will come from the market, not the NIH. Whether it will be accepted as evidence by mainstream nutrition science is a separate, political question.