Sensitivity account of knowledge states that if one knows that _p_ (via method M), then were _p_ false, one would not believe that _p_ via M. This account has been highly controversial. However, even its critics tend to agree that the account enjoys an important advantage of solving the Gettier problem—that is, it explains why Gettierized beliefs are not knowledge. In this paper, I argue that this purported advantage of sensitivity is merely illusory. The account cannot, in principle, solve the (...) Gettier problem. Moreover, another formulation of sensitivity—which is fully in line with Nozick’s original account—is not unscathed either. (shrink)

The sensitivity account of knowledge is a modal epistemology, according to which S knows that p only if S's belief in p is sensitive in the sense that S would not believe that p if p were false. There are different ways to state the sensitivity condition by means of a possible worlds heuristic. The sensitivity account is thus rendered into different versions. This paper examines cases of knowledge and cases of luckily true beliefs (e.g., the Gettier cases) and argues (...) that no version of the sensitivity account accommodates all cases. Therefore, the account is unsuccessful as an account of knowledge. (shrink)

According to the sensitivity account of knowledge, if one knows that p, then (roughly) were p false, one would not believe that p. One important issue regarding sensitivity is whether or not it preserves inductive knowledge. Critics including Jonathan Vogel, Ernest Sosa, and Duncan Pritchard argue that it does not. Proponents including Kevin Wallbridge insist that it does. In this paper, I first draw attention to an often-neglected distinction between two different versions of sensitivity—a distinction that has important implications for (...) the debate regarding inductive knowledge. In particular, I distinguish between the sensitivity principle originally defended by Robert Nozick and another version that has been the focus of many recent discussions. With the distinction in place, it is shown that a sensitivity theorist cannot preserve inductive knowledge while being unscathed. For neither account can simultaneously preserve inductive knowledge while properly handling the Gettier problem. Overall, sensitivity theorists are in trouble. (shrink)

In epistemology, the concept of knowledge is of distinctive interest. This fact is also reflected in the discussion of epistemic value, which focuses to a large extend on the value problem of knowledge. This discussion suggests that knowledge has an outstanding value among epistemic standings because its value exceeds the value of its constitutive parts. I will argue that the value of knowledge is not outstanding by presenting epistemic standings of checking, transferring knowledge, and proving in court, whose values exceed (...) the value of knowledge in certain contexts. Moreover, the values of these other epistemic standings do not always rely on the value of knowledge. In terms of value, knowledge is not an outstanding epistemic concept. Hence, in terms of value we cannot find support for the privileged position that knowledge enjoys in epistemology. (shrink)

This paper replies to the comments made in Acta Analytica by Peter Baumann, Kelly Becker, Marian David, Nenad Miščević, Wes Siscoe, and Danilo Šuster on my Knowing and Checking: An Epistemological Investigation (Routledge 2019), hereinafter abbreviated as KC. These papers resulted from a workshop organized by the department of philosophy of the University of Maribor. I am very thankful to the organizers of the workshop and to the authors for their comments.

In this Précis, I provide an overview of my Monograph Knowing and Checking: An Epistemological Investigation (Melchior 2019), which is subject to a book symposium organized by the University of Maribor. This volume in Acta Analytica contains contributions by Peter Baumann, Kelly Becker, Marian David, Nenad Miščević, Robert Weston Siscoe, and Danilo Šuster along with my replies.

This essay presents a unified account of safety, sensitivity, and severe testing. S’s belief is safe iff, roughly, S could not easily have falsely believed p, and S’s belief is sensitive iff were p false S would not believe p. These two conditions are typically viewed as rivals but, we argue, they instead play symbiotic roles. Safety and sensitivity are both valuable epistemic conditions, and the relevant alternatives framework provides the scaffolding for their mutually supportive roles. The relevant alternatives condition (...) holds that a belief is warranted only if the evidence rules out relevant error possibilities. The safety condition helps categorise relevant from irrelevant possibilities. The sensitivity condition captures ‘ruling out’. Safety, sensitivity, and the relevant alternatives condition are typically presented as conditions on warranted belief or knowledge. But these properties, once generalised, help characterise other epistemic phenomena, including warranted inference, legal verdicts, scientific claims, reaching conclusions, addressing questions, warranted assertion, and the epistemic force of corroborating evidence. We introduce and explain Mayo’s severe testing account of statistical inference. A hypothesis is severely tested to the extent it passes tests that probably would have found errors, were they present. We argue Mayo’s account is fruitfully understood using the resulting relevant alternatives framework. Recasting Mayo’s condition using the conceptual framework of contemporary epistemology helps forge fruitful connections between two research areas—philosophy of statistics and the analysis of knowledge—not currently in sufficient dialogue. The resulting union benefits both research areas. (shrink)