Between Probability and Certainty: What Justifies Belief

Oxford, GB: Oxford University Press UK (2016)
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Abstract

This book explores a question central to philosophy--namely, what does it take for a belief to be justified or rational? According to a widespread view, whether one has justification for believing a proposition is determined by how probable that proposition is, given one's evidence. In this book this view is rejected and replaced with another: in order for one to have justification for believing a proposition, one's evidence must normically support it--roughly, one's evidence must make the falsity of that proposition abnormal in the sense of calling for special, independent explanation. This conception of justification bears upon a range of topics in epistemology and beyond. Ultimately, this way of looking at justification guides us to a new, unfamiliar picture of how we should respond to our evidence and manage our own fallibility. This picture is developed here.

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Author's Profile

Martin Smith
University of Edinburgh

Citations of this work

Lockeans Maximize Expected Accuracy.Kevin Dorst - 2019 - Mind 128 (509):175-211.
Belief, Credence, and Evidence.Elizabeth Jackson - 2020 - Synthese 197 (11):5073-5092.
Assertion is weak.Matthew Mandelkern & Kevin Dorst - 2022 - Philosophers' Imprint 22.
Justification, knowledge, and normality.Clayton Littlejohn & Julien Dutant - 2020 - Philosophical Studies 177 (6):1593-1609.

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References found in this work

Attitudes de dicto and de se.David Lewis - 1979 - Philosophical Review 88 (4):513-543.
The skeptic and the dogmatist.James Pryor - 2000 - Noûs 34 (4):517–549.
Truth and probability.Frank Ramsey - 2010 - In Antony Eagle (ed.), Philosophy of Probability: Contemporary Readings. New York: Routledge. pp. 52-94.
Solving the skeptical problem.Keith DeRose - 1995 - Philosophical Review 104 (1):1-52.

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