The generality problem is one of the most pressing challenges for reliabilism. The problem begins with this question: of all the process types exemplified by a given process token, which types are the relevant ones for determining whether the resultant belief counts as knowledge? As philosophers like Earl Conee and Richard Feldman have argued, extant responses to the generality problem have failed, and it looks as if no solution is forthcoming. In this paper, I present a new response to the (...) generality problem that illuminates the nature of knowledge-enabling reliability. My response builds upon the insights of Juan Comesaña’s well-founded solution to the generality problem, according to which relevant types are content–evidence pairs, i.e., descriptions of both the target belief’s content and the evidence on which the belief was based. While most responses to the generality problem, including Comesaña’s, only posit one relevant type for any given process token, I argue that knowledge-enabling reliability requires a process token to be reliable with respect to multiple content–evidence pairs, each with varying degrees of descriptive specificity. I call this solution multi-type evidential reliabilism. After offering a clear formulation of MTE, I conclude by arguing that MTE is sufficiently informative to rebut Conee and Feldman’s generality problem objection to a reliability condition on knowledge. (shrink)

The generality problem is commonly seen as one of the most pressing issues for process reliabilism. The generality problem starts with the following question: of all the process types exemplified by a given process token, which type is the relevant one for measuring reliability? Defenders of the generality problem claim that process reliabilists have a burden to produce an informative account of process type relevance. As they argue, without such a successful account, the reasonability of process reliabilism is significantly undermined. (...) One way for the reliabilist to respond is to attempt to construct such a theory of type relevance. But another way of responding is to argue that, if finding an account of type relevance is a burden for the reliabilist, then it is also a burden for everyone else. Thus, the generality problem doesn’t present some unique reason to reject process reliabilism. I call this latter strategy a parrying response. In this essay, I examine the contemporary parrying responses of Michael Bishop and Juan Comesaña, which have both faced recent criticism. I respond to these critics, and argue that parrying responses are far stronger than defenders of the generality problem have appreciated. (shrink)

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. (shrink)

According to process reliabilism, a belief produced by a reliable belief-forming process is justified. I introduce problems for this theory on any account of reliability. Does the performance of a process in some domain of worlds settle its reliability? The theories that answer “Yes” typically fail to state the temporal parameters of this performance. I argue that any theory paired with any plausible parameters has implausible implications. The theories that answer “No,” I argue, thereby lack essential support and exacerbate familiar (...) problems. There are new reasons to avoid any reliability conditions on justification. (shrink)

In “A well-founded solution to the generality problem,” Comesaña argues, inter alia, for three main claims. One is what I call the unavoidability claim: Any adequate epistemological theory needs to appeal, either implicitly or explicitly, to the notion of a belief’s being based on certain evidence. Another is what I call the legitimacy claim: It is perfectly legitimate to appeal to the basing relation in solving a problem for an epistemological theory. According to Comesaña, the legitimacy claim follows straightforwardly from (...) the unavoidability claim. The third one is what I call the basing solution claim: An appeal to the notion of basing relation is all we need to solve the generality problem for (process) reliabilism. In this paper, I will argue that the unavoidability claim and the basing solution claim are false and that the legitimacy claim might be true only in a qualified sense. (shrink)

I argue against mnemic reliabilism, an influential view that successful remembering must be produced by a reliable memory process. Drawing on empirical evidence from psychology and neuroscience, I refute mnemic reliabilism by demonstrating that: (1) patients with memory impairments (e.g., Alzheimer’s disease) can also successfully remember the past despite the unreliability of their corresponding memory processes; (2) some reliability-affecting factors (e.g., stress, divided attention, and insufficient encoding time) can render the memory processes of healthy individuals unreliable without preventing them from (...) occasionally resulting in successful remembering. Potential responses available for mnemic reliabilism are also evaluated. I show that those responses are susceptible to a challenge akin to the generality problem for process reliabilism. (shrink)

Ph.D. University of Hawaii at Manoa 2014.

One of the main goals of epistemologists is to provide a substantive and explanatory account of the conditions under which a belief has some desirable epistemic status (typically, justification or knowledge). According to the reliabilist approach to epistemology, any adequate account will need to mention the reliability of the process responsible for the belief, or truth-conducive considerations more generally. Historically, one major motivation for reliabilism—and one source of its enduring interest—is its naturalistic potential. According to reliabilists, epistemic properties can be (...) explained in terms of reliability, which in turn can be understood without reference to any unreduced epistemic notions, such as evidence or knowledge. This article begins by surveying some of the main forms of reliabilism, concentrating on process reliabilism as a theory of justification. It proceeds to review some of the main objections to reliabilism, and some of the responses that have been offered on the reliabilist’s behalf. After canvassing some recent developments in reliabilist epistemology, the article concludes by considering various cousins and spin-offs of reliabilist epistemology, including virtue reliabilism and various evidentialist-reliabilist hybrids. (shrink)

In “The Possibility of Epistemic Nudging” (2021), Thomas Grundmann examines nudging as applied to doxastic attitudes. Grundmann argues that given the right presuppositions about knowledge, justified beliefs, and the relevant belief-forming processes, doxastic nudging can result in justified beliefs and even knowledge in the nudgee. In this short response we will raise some critical concerns for Grundmann’s project as well as open up a path for epistemic nudges (nudges that result in justified beliefs or knowledge) that Grundmann too quickly dismisses.