Peter Attia· MD
and when you look at a study and it's not significant you should ask the question was this study powered correctly
Loading…
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.
and when you look at a study and it's not significant you should ask the question was this study powered correctly
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.
just because something doesn't achieve statistical significance the only way you can say it's not significant is you have to know what it was powered to detect um and statistical power is a very important concept that probably doesn't get discussed enough
and when you look at a study and it's not significant you should ask the question was this study powered correctly