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Case file

Base Rate Fallacy

Filed under
Too Much Information
Also recorded as
Base rate neglect

The charge

We ignore general prevalence data and focus too much on case-specific details. That makes vivid anecdotes or individuating information crowd out the broader odds.


How it operates

Specific stories feel more diagnostic than abstract statistics, even when the statistics carry most of the predictive value. The mind prefers representative narratives over population rates.

Logged incidents

  1. Incident 01

    A startup backs an unusually charismatic founder profile while ignoring the very low base rate of success in that category.

  2. Incident 02

    A recruiter overweights one dazzling portfolio project and underweights the historical hiring signal from structured assessments.

  3. Incident 03

    A fraud team treats a suspicious-looking transaction as likely fraud without considering how rare fraud actually is among similar transactions.

What to watch for

Ask yourself: 'What is the base rate for cases like this before I get seduced by the specifics?'

Recommended action

Use Bayesian updating or at least a simple reference-class forecast before judging an individual case. Base-rate training reliably improves probability estimates.

Known associates

Source of record

en.wikipedia.org

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