 There are other good reasons why the hypotheses in the likelihood ratio should be exclusive and exhaustive. For if they are not, the likelihood ratio can deliver counterintuitive results. To see why, first consider hypotheses that are not mutually exclusive. Let \(H_p\) stand for “The defendant is guilty” and \(H_d\) for “The defendant was not at the crime scene”. Let \(E\) stand for 