The base rate fallacy is a cognitive bias that occurs when people ignore the overall prevalence of a characteristic (the base rate) in a population while focusing on specific information. It happens particularly when assessing the likelihood of an event or condition based on its probability versus specific evidence that should influence that assessment. For example, consider a scenario where a particular disease affects 1% of a population.
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