Nathan Ballantyne

Recent work on the nature of luck widely endorses the thesis that an event is good or bad luck for an individual only if it is significant for that individual. In this paper, I explore this thesis, showing that it raises questions about interests, well-being, and the philosophical uses of luck. In Sect. 1, I examine several accounts of significance, due to Pritchard (2005), Coffman (2007), and Rescher (1995). Then in Sect. 2 I consider what some theorists want to ‘do’ with luck, taking important examples from epistemology (explaining Gettier-style examples) and political philosophy (offering a rationale for the just distribution of resources in society), while suggesting implications for significance. Drawing together lessons from Sects. 1 and 2, I develop a new account of significance in Sect. 3 before concluding with reflections on the debate in Sect. 4.

This chapter presents David Foster Wallace's views about three positions regarding the good life—ironism, hedonism, and narrative theories. Ironism involves distancing oneself from everything one says or does, and putting on Wallace's so-called “mask of ennui.” Wallace said that the notion appeals to ironists because it insulates them from criticism. However, he reiterated that ironists can be criticized for failing to value anything. Hedonism states that a good life consists in pleasure. Wallace rejected such a notion, doubting that pleasure could play a fundamental role in the good life. Lastly, narrative theories characterize the good life by fidelity to a unified narrative -- a systematic story about one's life, composed of a set of ends or principles according to which one lives. Wallace believed that these theories turn people into spectators, rather than the participants in their own lives.

Implicit bias results from living in a society structured by race. Tamar Gendler has drawn attention to several epistemic costs of implicit bias and concludes that paying some costs is unavoidable. In this paper, we reconstruct Gendler’s argument and argue that the epistemic costs she highlights can be avoided. Though epistemic agents encode discriminatory information from the environment, not all encoded information is activated. Agents can construct local epistemic environments that do not activate biasing representations, effectively avoiding the consequences of activation. We conclude that changing our local environments provides a way to avoid paying implicit bias’s epistemic costs.

Walter Sinnott-Armstrong has developed and progressively refined an argument against moral intuitionism—the view on which some moral beliefs enjoy non-inferential justification. He has stated his argument in a few different forms, but the basic idea is straightforward. To start with, Sinnott-Armstrong highlights facts relevant to the truth of moral beliefs: such beliefs are sometimes biased, influenced by various irrelevant factors, and often subject to disagreement. Given these facts, Sinnott-Armstrong infers that many moral beliefs are false. What then shall we think of our own moral beliefs? Either we have reason to think some of our moral beliefs are reliably formed or we have no such reason. If the latter, our moral beliefs are unjustified. If we have reason to think some moral beliefs are reliably formed, then those beliefs are not non-inferentially justified, because then we’ll have reason to accept something—namely, that they are reliably formed—that entails or supports those beliefs. But then, either way, our moral beliefs are not non-inferentially justified, and so moral intuitionism is false. This paper takes issue with Sinnott-Armstrong’s interesting and widely discussed argument, which we here call the Empirical Defeat Argument (EDA). According to us, the EDA does not defeat moral intuitionism. In section 1, we will set out the argument, briefly reviewing the rationale Sinnott-Armstrong offers for the premises. Then, in section 2, we identify a critical but dubious epistemological assumption concerning the nature of defeat that undergirds the argument. Finally, in section 3, we will defend our challenge to the EDA by answering two objections.