Confusion of the inverse refers to a common logical fallacy that arises when one mistakenly assumes that the probability of an event A given event B is the same as the probability of event B given event A. This misunderstanding often leads to incorrect conclusions in probability and statistics, particularly in the application of conditional probability and Bayes' theorem. Recognizing this fallacy is crucial for accurately interpreting data and making sound inferences.
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