Confusion of the inverse refers to a common misunderstanding in probability, particularly in the context of conditional probabilities and Bayes' theorem, where one incorrectly assumes that $P(A|B)$ is the same as $P(B|A)$. This confusion can lead to incorrect conclusions about the relationship between two events and emphasizes the need for careful consideration of the conditions under which probabilities are defined.
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