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.
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.
This simulation models how confirmation bias affects Bayesian belief updating by over-weighting confirming evidence and under-weighting disconfirming evidence.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install