This article aims to provide a structural analysis of the problems related to the easy knowledge problem. The easy knowledge problem is well known. If we accept that we can have basic knowledge via a source without having any prior knowledge about the reliability or accuracy of this source, then we can acquire knowledge about the reliability or accuracy of this source too easily via information delivered by the source. Rejecting any kind of basic knowledge, however, leads into an infinite (...) regress and, plausibly, to skepticism. The article argues that the third alternative, accepting basic knowledge but rejecting easy knowledge, entails closure failure. This is obviously the case for deductive bootstrapping, but, notably, the problem also arises for inductive bootstrapping. Hence, the set of problems related to the easy knowledge problem has the structure of a trilemma. We are forced to accept easy knowledge, closure failure, or skepticism. (shrink)

The paper explicates a new way to model the context-sensitivity of 'knows', namely a way that suggests a close connection between the content of 'knows' in a context C and what is pragmatically presupposed in C. After explicating my new approach in the first half of the paper and arguing that it is explanatorily superior to standard accounts of epistemic contextualism, the paper points, in its second half, to some interesting new features of the emerging account, such as its compatibility (...) with the intuitions of Moorean dogmatists. Finally, the paper shows that the account defended is not subject to the most prominent and familiar philosophical objections to epistemic contextualism discussed in the recent literature. (shrink)

It is widely thought that if knowledge requires sensitivity, knowledge is not closed because sensitivity is not closed. This paper argues that there is no valid argument from sensitivity failure to non-closure of knowledge. Sensitivity does not imply non-closure of knowledge. Closure considerations cannot be used to adjudicate between safety and sensitivity accounts of knowledge.