A problem for rationalist responses to skepticism

Philosophical Studies 168 (2):355-369 (2014)
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Abstract

Rationalism, my target, says that in order to have perceptual knowledge, such as that your hand is making a fist, you must “antecedently” (or “independently”) know that skeptical scenarios don’t obtain, such as the skeptical scenario that you are in the Matrix. I motivate the specific form of Rationalism shared by, among others, White (Philos Stud 131:525–557, 2006) and Wright (Proc Aristot Soc Suppl Vol 78:167–212, 2004), which credits us with warrant to believe (or “accept”, in Wright’s terms) that our senses are reliably veridical, where that warrant is one we enjoy by default, that is, without relying on any evidence or engaging in any positive argument. The problem with this form of Rationalism is that, even if you have default knowledge that your senses are reliable, this is not adequate to rule out every kind of skeptical scenario. The problem is created by one-off skeptical scenarios, scenarios that involve a highly reliable perceiver who, by a pure fluke, has a one-off, non-veridical experience. I claim you cannot infer that your present perceptual experience is veridical just on the basis of knowledge of your general reliability. More generally, if you infer that the present F is G, just on the basis of your knowledge that most Fs are Gs, this is what I call statistical inference, and, as I argue, statistical inference by itself does not generate knowledge. I defend this view of statistical inference against objections, including the objection that radical skepticism about our ordinary inductive knowledge will follow unless statistical inference generates knowledge.

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Sinan Dogramaci
University of Texas at Austin

Citations of this work

Desire-Based Theories of Reasons and the Guise of the Good.Kael McCormack - 2023 - Ergo: An Open Access Journal of Philosophy 9 (47):1288-1321.
Against the Alleged Insufficiency of Statistical Evidence.Sam Fox Krauss - 2020 - Florida State University Law Review 47:801-825.
A Disjunctive Account of Desire.Kael McCormack - 2022 - Dissertation, University of New South Wales

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References found in this work

Knowledge and its limits.Timothy Williamson - 2000 - New York: Oxford University Press.
Counterfactuals.David K. Lewis - 1973 - Malden, Mass.: Blackwell.
Knowledge and lotteries.John Hawthorne - 2004 - New York: Oxford University Press.
Inference to the Best Explanation.Peter Lipton - 1991 - London and New York: Routledge/Taylor and Francis Group.

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