Peter Achinstein has argued at length and on many occasions that the view according to which evidential support is defined in terms of probability-raising faces serious counterexamples and, hence, should be abandoned. Proponents of the positive probabilistic relevance view have remained unconvinced. The debate seems to be in a deadlock. This paper is an attempt to move the debate forward and revisit some of the central claims within this debate. My conclusion here will be that while Achinstein may be right (...) that his counterexamples undermine probabilistic relevance views of what it is for e to be evidence that h, there is still room for a defence of a related probabilistic view about an increase in being supported, according to which, if p > p, then h is more supported given e than it is without e. My argument relies crucially on an insight from recent work on the linguistics of gradable adjectives. (shrink)

The running debate between Peter Achinstein and his critics concerning the nature of scientific evidence is misguided as each side attempts to explicate a distinct notion of evidence. Achinstein's approach, however, is valuable in helping to point out a problem with Carnap's statistical relevance model. By claiming an increase in probability to be necessary for evidence, the received view is incapable of accounting for evidence which is statistically irrelevant but explanatorily relevant. A broader view of evidence which can account for (...) pragmatic concerns such as explanation is thereby required. (shrink)

The article is an attempt to better understand the objections to the doctrine of 'reliabilism' made by prominent epistemologists. The view argued for here is that while one extreme case of anti-reliabilism seems to be the paradigm case against the entire concept, this very case points out some additional, and implicit, problems with the standard account of epistemic justification. The most notable is that the standard view attacks reliabilism on the grounds that it lacks a means of giving adequate reasons (...) or evidence for its claims. We argue that the standard view, while correct on its paradigm case against reliabilism, is itself weakened by its lack of recognition of the central role theories of evidence must play in its basic account. Since theories of evidence are themselves divergent and problematic in terms of explaining how claims are justified, the standard account needs to address the issues of which account of evidence is 'adequate' and why it is. It is finally suggested that traditional epistemology might be more accurately described as a branch of confirmation theory. (shrink)

Peter Achinstein has argued at length and on many occasions that the view according to which evidential support is defined in terms of probability-raising faces serious counterexamples and, hence, should be abandoned. Proponents of the positive probabilistic relevance view have remained unconvinced. The debate seems to be in a deadlock. This paper is an attempt to move the debate forward and revisit some of the central claims within this debate. My conclusion here will be that while Achinstein may be right (...) that his counterexamples undermine probabilistic relevance views of what it is for e to be evidence that h, there is still room for a defence of a related probabilistic view about an increase in being supported, according to which, if p > p, then h is more supported given e than it is without e. My argument relies crucially on an insight from recent work on the linguistics of gradable adjectives. (shrink)