Grazer Philosophische Studien 86 (1):73-92 (2012)

Authors
Mark McEvoy
Hofstra University
Abstract
The lottery problem is often regarded as a successful counterexample to reliabilism. The process of forming your true belief that your ticket has lost solely on the basis of considering the odds is, from a purely probabilistic viewpoint, much more reliable than the process of forming a true belief that you have lost by reading the results in a normally reliable newspaper. Reliabilism thus seems forced, counterintuitively, to count the former process as knowledge if it so counts the latter process. I offer a theory of empirical knowledge which, while being recognizably reliabilist, restricts empirical knowledge to cases in which the fact that p and the belief that p are causally connected. I show that this form of reliabilism solves the lottery problem, avoids the problems that beset the causal theory of knowledge, and show how it handles a number of problematic cases in the recent literature.
Keywords Reliabilism  Lottery Problem  Knowledge
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Reprint years 2013
DOI 10.1007/s11229-014-0523-1
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References found in this work BETA

Discrimination and Perceptual Knowledge.Alvin Goldman - 1976 - Journal of Philosophy 73 (November):771-791.
Knowledge and Its Limits.Timothy Williamson - 2003 - Philosophical Quarterly 53 (210):105-116.

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