Epistemological Disjunctivism is a view about paradigm cases of perceptual knowledge. Duncan Pritchard claims that it is particularly well suited to accounting for internalist and externalist intuitions. A number of authors have disputed this claim, arguing that there are problems for Pritchard's way with internalist intuitions. I share the worry. However, I don't think it has been expressed as effectively as it can be. My aim in this paper is to present a new way of formulating the worry, in terms of an “explanatory challenge”. The explanatory challenge is a simple, yet powerful and illuminating challenge for Epistemological Disjunctivism. It is illuminating in the sense that it shows us why Epistemological Disjunctivism must take on certain internalistically problematic commitments. A secondary aim of this paper is to examine whether the recently much-discussed distinction between justifications and excuses in epistemology can support an adequate response. I will argue that it cannot.

Realists about modality offer an attractive semantics for modal discourse in terms of possible worlds, but standard accounts of the worlds – as properties, propositions, or causally isolated concreta – invoke entities with which we can't interact. If realism is true, how can we know anything about modal matters? Let's call this “the Benacerraf Problem.” I suggest that C. I. Lewis has an intriguing answer to it. Given that we're willing to disentangle some of Lewis's insights from his phenomenalism, we can take the following line. If the Benacerraf Problem is a genuine one, then it threatens all knowledge – not just modal knowledge. But then it leads to a general and implausible form of skepticism, not a limited and more plausible debunking argument. Hence, whatever we're willing to say about skepticism we should say about the Benacerraf Problem.

One strategy for dealing with apparent cases of knowledge from falsehood is to deny that the knowledge actually is from a falsehood. Those endorsing such a move have suggested that cases of knowledge from falsehood are instead cases of knowledge despite falsehood. We here provide a dilemma for those wanting to reject the possibility of knowledge from falsehood. The dilemma is explained in part by examining recent attempts to deny that knowledge can be inferentially derived from falsehood.

It has been widely accepted since Stanley and Williamson (2001) that the only linguistically acceptable semantic treatments for sentences of the form ‘S knows how to V’ involve treating the wh-complement ‘how to V’ as an interrogative phrase, denoting a set of propositions. Recently a number of authors have suggested that the ‘how to V’ phrase denotes not a proposition, but an object. This view points toward a prima facie plausible non-propositional semantics for knowledge-how, which treats ‘how to V’ as a free relative noun phrase. In this paper I argue that the free relative semantics is implausible. I show that linguistic phenomena which seem to support a free relative semantics can be explained by the supporter of an interrogative semantics, and demonstrate that standard linguistic tests strongly suggest that ‘how to V’ has an interrogative reading, and no free relative reading.

Roger White (2015) sketches an ingenious new solution to the problem of induction. He argues from the principle of indifference for the conclusion that the world is more likely to be induction-friendly than induction-unfriendly. But there is reason to be skeptical about the proposed indifference-based vindication of induction. It can be shown that, in the crucial test cases White concentrates on, the assumption of indifference renders induction no more accurate than random guessing. After discussing this result, the paper explains why the indifference-based argument seemed so compelling, despite ultimately being unsound.

Data which constitute satisfactory evidence in other contexts are sometimes not treated as valid evidence in the context of scientific confirmation. I give a justificatory explanation of this fact, appealing to the incentives, biases, and social situatedness of scientists.

The Generality Problem is widely recognized to be a serious problem for reliabilist theories of justification. James R. Beebe's Statistical Solution is one of only a handful of attempted solutions that has garnered serious attention in the literature. In their recent response to Beebe, Julien Dutant and Erik J. Olsson successfully refute Beebe's Statistical Solution. This paper presents a New Statistical Solution that countenances Dutant and Olsson's objections, dodges the serious problems that trouble rival solutions, and retains the theoretical virtues that made Beebe's solution so attractive in the first place. There indeed exists a principled, rigorous, conceptually sparse, and plausible solution to the Generality Problem: it is the New Statistical Solution.