Published online by Cambridge University Press: 01 January 2022
This paper addresses two examples due to Peter Achinstein purporting to show that the positive relevance view of evidence is too strong, that is, that evidence need not raise the probability of what it is evidence for. The first example can work only if it makes a false assumption. The second example fails because what Achinstein claims is evidence is redundant with information we already have. Without these examples Achinstein is left without motivation for his account of evidence, which uses the concept of explanation in addition to that of probability.
Rice University and The Center for Philosophy of Science, University of Pittsburgh, supported this work. I wish to thank an anonymous referee for the suggestion to draw a stronger conclusion about the second example.