 The same problem can be seen with Egan and Elga’s treatment of cases of self-attributing less extreme unreliability (such as INP) that they regard as unproblematic. Consider a person with growing evidence that his memory isn’t what it once was. What effect should this have on his beliefs about the names of students? They compare what happens to his confidence that a given student is named “Sarah” when he hears counterevidence—overhearing someone calling her “Kate” for example—in the case where he has and the case where he hasn’t taken the evidence of his decline in memory into account. Via a Bayesian calculation they conclude that when he hasn’t taken into account the evidence about his memory, the counterevidence to his particular belief that the student is named Sarah does reduce his belief that she is Sarah, but it does so much less than it would have if he had taken the evidence about his memory into account.