In case you haven’t had time to read the full-length post (or watch the video), here is the podcast version.
What to expect in the full-length text post?
What’s New:
Most study results apply to far fewer people, including the study’s participants, than medical science admits. The phenomenon of non-ergodicity is its unacknowledged blind spot.
This post introduces a simple 2-step Plausibility & Translatability Check. It allows you to vet a study’s claims like a data scientist and to uncover what works for you.
Why It Matters:
Blindly following advice based on “average” results wastes your time and frustrates you when interventions don’t work. This framework helps you make smarter bets on what will actually improve your personal health.
Your Takeaways:
An eye-opening understanding of the natural phenomenon of non-ergodicity and how it shakes the foundations of biomedical research. Plus a downloadable Excel tool to kick the tires of any medical/health study:
Plausibility Check: Are a study’s foundational data believable?
Translatability Check: Will you be able to reproduce the intervention’s result?
