Erkenntnis 79 (4):871-892 (2014)

Aaron Bronfman
University of Nebraska, Lincoln
Bayesian Conditionalization is a widely used proposal for how to update one’s beliefs upon the receipt of new evidence. This is in part because of its attention to the totality of one’s evidence, which often includes facts about what one’s new evidence is and how one has come to have it. However, an increasingly popular position in epistemology holds that one may gain new evidence, construed as knowledge, without being in a position to know that one has gained this evidence. These are cases of KK-Failure, cases where one knows p but is not in a position to know that one knows p. This paper assumes that certain KK-Failures are possible and argues that Conditionalization goes wrong in those cases
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DOI 10.1007/s10670-013-9570-0
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References found in this work BETA

Knowledge and its Limits.Timothy Williamson - 2000 - Oxford University Press.
The Foundations of Statistics.Leonard J. Savage - 1954 - Wiley Publications in Statistics.
The Logic of Decision.Richard C. Jeffrey - 1965 - New York, NY, USA: University of Chicago Press.
Knowledge and Its Limits.Timothy Williamson - 2005 - Philosophy and Phenomenological Research 70 (2):452-458.

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Citations of this work BETA

Updating for Externalists.J. Dmitri Gallow - 2021 - Noûs 55 (3):487-516.
What is conditionalization, and why should we do it?Richard Pettigrew - 2020 - Philosophical Studies 177 (11):3427-3463.
Externalism and Exploitability.Nilanjan Das - 2022 - Philosophy and Phenomenological Research 104 (1):101-128.
Diachronic Dutch Books and Evidential Import.J. Dmitri Gallow - 2019 - Philosophy and Phenomenological Research 99 (1):49-80.

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