Principlev1

Use population-level research to set informed priors while

Use population-level research to set informed priors while recognizing that individual responses may diverge significantly from average effects without invalidating either the research or your personal data.

Why This Is a Principle

This derives from Working Memory Capacity Limit (working memory limits create individual variation) and Double-loop learning requires questioning the framework (double-loop learning requires questioning frameworks). The principle prescribes how to hold population research and personal data in appropriate relationship - neither blind trust nor dismissal. It's actionable (set priors from research, allow divergence in personal results) and general enough to apply across domains.

Source Lessons

L-1111

N-of-one experiments

You are running experiments on yourself — sample size one — which means more variation is expected.

Connections

Derived From (2)

AxiomWorking Memory Capacity Limit AxiomDouble-loop learning requires questioning the framework

Back to Concepts