Peter Attia· MD
various factors defined by a a statistician named Austin Bradford Hill speak to the strength of the association and the the the probability or likelihood that that Association is causal
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The headline is broadly defensible, but the qualifications matter. Effect sizes vary by population, the strongest claims rest on shorter trials, and credible voices push back on how it's typically framed.
various factors defined by a a statistician named Austin Bradford Hill speak to the strength of the association and the the the probability or likelihood that that Association is causal
Every Sunday: the week’s new conflicts and verdict changes — and nothing else.
Native comments, Twitter mentions, and Reddit threads about this claim — surfaced together so the conversation isn't fragmented across platforms.
Bookmarking — the dossier-vs-overview split is the right call. Most of the time I want overview; sometimes I want receipts.
Would love a "what would change this verdict" RSS feed. Sign me up if it exists.
So let's just start with strength. How large is the effect? And the larger the effect, the more likely it is to be causal.