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Bayes’ Theorem

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Interpreting
Description

“Describes the probability of an event, based on conditions that might be related to the event. For example, suppose one is interested in whether a person has cancer, and knows the person’s age. If cancer is related to age, then, using Bayes’ theorem, information about the person’s age can be used to more accurately assess the probability that they have cancer.” (related: base rate fallacy)

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Source

Gabriel Weinberg's Mental Models I Find Repeatedly Useful