Diagnostic Panel Wisdom-of-Crowds Simulator
Each doctor on a diagnostic panel is only slightly better than a coin flip at telling an explainable case from a genuine anomaly. Watch the Condorcet Jury Theorem in action: as the panel grows, majority-vote accuracy climbs toward certainty far faster than any individual doctor ever could — unless the doctors stop judging independently.
This simulator puts a panel of N doctors in front of an ambiguous case — is it an explainable medical phenomenon or a genuine anomaly? — where each doctor, alone, is only individually-better-than-random at calling it correctly. Tune the panel size and each doctor's individual accuracy, and watch the exact Condorcet Jury Theorem formula predict how fast majority-vote accuracy should climb toward certainty. Then flip on correlated judgments to see why the theorem's independence assumption is not a technicality: when doctors start copying a shared bias instead of judging on their own, more panelists stop helping.
This simulation demonstrates how averaging many independent diagnoses converges to the true pollution level faster than any individual doctor can.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install