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Confirmation Bias in UFO Investigations

Watch a researcher's belief drift toward extreme confidence as confirmation bias distorts how much weight each new piece of ambiguous evidence receives — a Bayesian-updating-with-bias model of pseudoscience investigation.

Society & Economics2DEasy60 FPS📱 Mobile-adapted⇄ 3D version
ufo-researchers-pollution ↗ Open standalone

This simulator models a specific, well-documented failure mode in pseudoscience investigation: confirmation bias in evidence weighting. A stream of ambiguous, mostly-explainable field reports arrives over time, each carrying a small true signal toward or away from the "genuine anomaly" hypothesis. A perfectly rational investigator would update belief in direct proportion to that signal. Here, instead, each report's influence is distorted by how well it agrees with the investigator's current belief — confirming reports are amplified, disconfirming reports are discounted — so belief drifts toward an extreme even when the underlying evidence, averaged honestly, is genuinely weak or neutral. Adjust confirmation-bias strength, evidence ambiguity and arrival rate to see how quickly and how far the feedback loop runs away.

⚙ Under the hood

This simulation models how confirmation bias affects Bayesian belief updating by over-weighting confirming evidence and under-weighting disconfirming evidence.

bayesianconfirmation biasbelief updatingpotential landscape

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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