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The authors provide evidence that people typically evaluate conditional probabilities by subjectively partitioning the sample space into n interchangeable events, editing out events that can be eliminated on the basis of conditioning information, counting remaining events, then reporting probabilities as a ratio of the number of focal to total events. Participants' responses to conditional probability problems were influenced by irrelevant information (Study 1), small variations in problemdoi:10.1037/0096-34188.8.131.526 pmid:15584810 fatcat:tstcnyn5jzaqxcffw22hgq6kqe