This article is concerned with a statistical proposal due to James R. Beebe for how to solve the generality problem for process reliabilism. The proposal is highlighted by Alvin I. Goldman as an interesting candidate solution. However, Goldman raises the worry that the proposal may not always yield a determinate result. We address this worry by proving a dilemma: either the statistical approach does not yield a determinate result or it leads to trivialization, i.e. reliability collapses into truth (and anti-reliability (...) into falsehood). Various strategies for avoiding this predicament are considered, including revising the statistical rule or restricting its application to natural kinds. All amendments are seen to have serious problems of their own. We conclude that reliabilists need to look elsewhere for a convincing solution to the generality problem. (shrink)

Abstract: In this article, the logic and functions of character-trait ascriptions in ethics and epistemology is compared, and two major problems, the "generality problem" for virtue epistemologies and the "global trait problem" for virtue ethics, are shown to be far more similar in structure than is commonly acknowledged. I suggest a way to put the generality problem to work by making full and explicit use of a sliding scale--a "narrow-broad spectrum of trait ascription"-- and by accounting for the various uses (...) of it in an inquiry-pragmatist account. In virtue theories informed by inquiry pragmatism, the agential habits and abilities deemed salient in explanations/evaluations of agents in particular cases, and the determination of what relevant domains and conditions an agent's habit or ability is reliably efficacious in, is determined by pragmatic concerns related to our evaluative epistemic practices. (shrink)