The author uses a series of potential counterexamples to argue against attempts by Bergmann and Plantinga to articulate a distinction between malignant and benign epistemic circularity and, more radically, to argue that epistemic circularity per se is no fallacy, and the concept of epistemic circularity plays no role in the explanation of why some instances of epistemic circularity are irrational. The author contrasts an inferential framework, in which circularity is a problem, with an equilibrium framework, in which the concept of (...) circularity plays no useful role and argues that defeasible reasoning can only be understood in an equilibrium, not an inferential, framework. The author uses an example of reasoning about the reliability of one’s own memory to explain how seemingly malignant epistemic circularity can be rational in an equilibrium framework. The author discusses the relevance of this conclusion to two contemporary issues: the cogency of Plantinga’s Evolutionary Argument against Naturalism and the evolutionary naturalists’ challenges to non-naturalist moral realism—and, indeed, to all forms of non-naturalist normative realism. (shrink)

The author identifies the structure of Sharon Street's skeptical challenge to non-naturalist, normative epistemic realism as an argument that NNER is liable to reliability defeat and then argues that Street's argument fails, because it itself is subject to reliability defeat. As the author reconstructs Street's argument, it is an argument that the normative epistemic judgments of the realist could only be probabilistically sensitive to normative epistemic truths by sheer chance. The author then recaps Street's own naturalist translation of normative epistemic (...) judgments into purely descriptive, contingent probability statements, and argues that, on her own terms, the reasoning that leads her to rationally believe in evolutionary theory could only be probabilistically sensitive to the relevant purely descriptive, contingent probabilities by sheer chance. The author's argument is addressed to Street, but it applies to all evolutionary naturalist accounts of epistemic rationality. The author explains how his argument differs from Plantinga's Evolutionary Argument Against Naturalism and shows how it avoids the objections to Plantinga's EAAN. The author closes with the outline of an explanation of how evolution could have made human reasoning probabilistically sensitive to metaphysically necessary normative epistemic standards, even though those standards did not exert and, indeed, could not have exerted any kind of causal influence on the evolutionary process. (shrink)

ABSTRACT Ethical and political attitudes are not randomly distributed in a population. Attitudes of family members, for example, tend to be more similar than those of a random sample of the same size. In the fields of social psychology and political science, the historically standard explanation for these attitude distribution patterns was that social and political attitudes are a function of environmental factors like parental socialization and prevailing social norms. This received view is, however, complicated by more recent work in (...) behavioral genetics, which consistently and repeatedly demonstrates that certain ethical and political attitudes dealing with issues like censorship, abortion, capital punishment, and immigration policy have a significant heritability coefficient, to wit, a substantial percentage of attitude variance in a population can be attributed to genetic variance, independent of environmental factors. In this paper, I argue that the genetic influence on our ethical and political attitudes is mediated by what we can agree to be irrelevant and distorting factors that can lead moral reasoning astray. Further, I argue that we should significantly lower our credences in ethical and political attitudes that fall within the domains of belief that involve significant genetic influence. (shrink)

‘Bayesian epistemology’ became an epistemological movement in the 20th century, though its two main features can be traced back to the eponymous Reverend Thomas Bayes (c. 1701-61). Those two features are: (1) the introduction of a formal apparatus for inductive logic; (2) the introduction of a pragmatic self-defeat test (as illustrated by Dutch Book Arguments) for epistemic rationality as a way of extending the justification of the laws of deductive logic to include a justification for the laws of inductive logic. (...) The formal apparatus itself has two main elements: the use of the laws of probability as coherence constraints on rational degrees of belief (or degrees of confidence) and the introduction of a rule of probabilistic inference, a rule or principle of conditionalization. (shrink)