We argue that there is nothing that can do the work that normative reasons are expected to do. A currently popular view is that in any given situation, a set of normative reasons (understood as a set of facts, typically about the agent’s situation) always determines the ways we prospectively should or should not respond. We discuss an example that we think shows no such collection of facts could have this normative significance. A radical response might be to dispense with (...) reasons and explain the facts about the ways we should respond using something else entirely (e.g., expected value). We think a more fruitful approach is to explore the possibility of using decision-theoretic tools in a reasons-centred framework. (shrink)

A theory of rational belief should get the cases right. It should also reach its verdicts using the right theoretical assumptions. Leading theories seem to predict the wrong things. With only one exception, they don't accommodate principles that we should use to explain these verdicts. We offer a theory of rational belief that combines an attractive picture of epistemic desirability with plausible principles connecting desirability to rationality. On our view, it's rational to believe when it's sufficiently likely that you'd know (...) because believing when it's sufficiently likely that you'd know minimises expected objective epistemic undesirability. (shrink)

In this discussion, we look at three potential problems that arise for Whiting’s account of normative reasons. The first has to do with the idea that objective reasons might have a modal dimension. The second and third concern the idea that there is some sort of direct connection between sets of reasons and the deliberative ought or the ought of rationality. We can see that we might be better served using credences about reasons (i.e., creasons) to characterise any ought that (...) is distinct from the objective ought than possessed or apparent reasons. (shrink)

In Fallibilism: Evidence and Knowledge, Jessica Brown identifies a number of problems for the so-called knowledge view of justification. According to this view, we cannot justifiably believe what we do not know. Most epistemologists reject this view on the grounds that false beliefs can be justified if, say, supported by the evidence or produced by reliable processes. We think this is a mistake and that many epistemologists are classifying beliefs as justified because they have properties that indicate that something should (...) be excused. Brown thinks that previous attempts to make this case have been unsuccessful. While the difficulties Brown points to are genuine, I think they show that attempts to explain a classificatory judgment haven't been successful. Still, I would argue that the classification is correct. We need a better explanation of this classificatory judgment. I will try to clarify the justification-excuse distinction and explain why it's a mistake to insist that beliefs that violate epistemic norms might be justified. Just as it's possible for a rational agent to act without justification in spite of her best intentions, it's possible that a rational thinker who follows the evidence and meets our expectations might nevertheless believe without sufficient justification. If our justified beliefs are supposed to guide us in deciding what to do, we probably should draw on discussions from morality and the law about the justification/excuse distinction to inform our understanding of the epistemic case. (shrink)

Debunking arguments use empirical evidence about our moral beliefs - in particular, about their causal origins, or about how they depend on various causes - in order to reach an epistemic conclusion about the trustworthiness of such beliefs. In this thesis, I investigate the scope and limits of debunking arguments, and their implications for what we should believe about morality. I argue that debunking arguments can in principle work - they are based on plausible epistemic premises, and at least some (...) of them avoid putative problems concerning regress and redundancy. However, I also argue that some debunking arguments fall short because they are insufficiently supported by the empirical evidence. By considering different objections, analyses, and a case study, I explore the conditions for a successful debunking argument. (shrink)