Mind:1-28 (2022)

Sam Carter
Australian Catholic University
Simon Goldstein
Australian Catholic University
There is a large literature exploring how accuracy constrains rational degrees of belief. This paper turns to the unexplored question of how accuracy constrains knowledge. We begin by introducing a simple hypothesis: increases in the accuracy of an agent’s evidence never lead to decreases in what the agent knows. We explore various precise formulations of this principle, consider arguments in its favor, and explain how it interacts with different conceptions of evidence and accuracy. As we show, the principle has some noteworthy consequences for the wider theory of knowledge. First, it implies that an agent cannot be justified in believing a set of mutually inconsistent claims. Second, it implies the existence of a kind of epistemic blindspot: it is not possible to know that one’s evidence is misleading.
Keywords Knowledge  Accuracy  Skepticism  Verisimilitude  Probability  Justification  Skepticism  Normality
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DOI 10.1093/mind/fzac009
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References found in this work BETA

Knowledge and its Limits.Timothy Williamson - 2000 - Oxford University Press.
Knowledge and Lotteries.John Hawthorne - 2003 - Oxford, England: Oxford University Press.
Accuracy and the Laws of Credence.Richard Pettigrew - 2016 - Oxford University Press UK.
The Contents of Visual Experience.Susanna Siegel - 2010 - Oxford University Press USA.
Knowledge in an Uncertain World.Jeremy Fantl & Matthew McGrath - 2009 - Oxford, England: Oxford University Press.

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