Ignorance and Indifference

Philosophy of Science 75 (1):45-68 (2008)
  Copy   BIBTEX

Abstract

The epistemic state of complete ignorance is not a probability distribution. In it, we assign the same, unique, ignorance degree of belief to any contingent outcome and each of its contingent, disjunctive parts. That this is the appropriate way to represent complete ignorance is established by two instruments, each individually strong enough to identify this state. They are the principle of indifference (PI) and the notion that ignorance is invariant under certain redescriptions of the outcome space, here developed into the ‘principle of invariance of ignorance' (PII). Both instruments are so innocuous as almost to be platitudes. Yet the literature in probabilistic epistemology has misdiagnosed them as paradoxical or defective since they generate inconsistencies when conjoined with the assumption that an epistemic state must be a probability distribution. To underscore the need to drop this assumption, I express PII in its most defensible form as relating symmetric descriptions and show that paradoxes still arise if we assume the ignorance state to be a probability distribution. *Received February 2007; revised July 2007. †To contact the author, please write to: Department of History and Philosophy of Science, University of Pittsburgh, Pittsburgh, PA 15260; e-mail: [email protected].

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 93,069

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Disbelief as the dual of belief.John D. Norton - 2007 - International Studies in the Philosophy of Science 21 (3):231 – 252.
The Dome: An Unexpectedly Simple Failure of Determinism.John D. Norton - 2008 - Philosophy of Science 75 (5):786-798.
Imprecise probability in epistemology.Elkin Lee - 2017 - Dissertation, Ludwig–Maximilians–Universitat
Pritchard on ignorance and normativity.Chuhan Wang & Ju Wang - 2023 - Asian Journal of Philosophy 2 (1):1-18.
Inexpressible Ignorance.Shamik Dasgupta - 2015 - Philosophical Review 124 (4):441-480.
Ignorance and Its Disvalue.Anne Https://Orcidorg Meylan - 2020 - Grazer Philosophische Studien 97 (3):433-447.
The Bayesian Who Knew Too Much.Yann Benétreau-Dupin - 2015 - Synthese 192 (5):1527-1542.

Analytics

Added to PP
2009-01-28

Downloads
330 (#64,497)

6 months
28 (#111,985)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

John D. Norton
University of Pittsburgh

Citations of this work

The material theory of induction.John D. Norton - 2021 - Calgary, Alberta, Canada: University of Calgary Press.
Interpretations of probability.Alan Hájek - 2007 - Stanford Encyclopedia of Philosophy.
Cluelessness.Hilary Greaves - 2016 - Proceedings of the Aristotelian Society 116 (3):311-339.
Imprecise Probabilities.Seamus Bradley - 2019 - Stanford Encyclopedia of Philosophy.

View all 45 citations / Add more citations

References found in this work

Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.
A treatise on probability.John Maynard Keynes - 1921 - Mineola, N.Y.: Dover Publications.
A Mathematical Theory of Evidence.Glenn Shafer - 1976 - Princeton University Press.
Probability Theory. The Logic of Science.Edwin T. Jaynes - 2002 - Cambridge University Press: Cambridge. Edited by G. Larry Bretthorst.

View all 20 references / Add more references