Prior meets the data

A skeptical prior belief centered on "no effect" meets the likelihood carried by your data, and the posterior lands somewhere in between — a precision-weighted compromise. Play the three dials and watch which side wins: pile up the sample size or widen the prior and the data takes over; shrink the data or tighten the prior and the belief snaps back toward zero. Built in p5.js.