Reference class problem (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Reference class problem" in English language version.

Last modified: 06:56:07, 18 June 2025 (UTC)

Ref.Un. Ref.Website

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22anthropic-principle.com

low place

low place

11web.archive.org

1^st place

1^st place

907^th place

529^th place

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292^nd place

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11philpapers.org

2,176^th place

1,487^th place

11austlii.edu.au

1,563^rd place

725^th place

anthropic-principle.com (Global: low place; English: low place)

"Anthropic Bias | anthropic-principle.com". www.anthropic-principle.com. Retrieved 2015-11-03.
Bostrom, Nick (2005). "Self-Location and Observation Selection Theory". anthropic-principle.com. Retrieved 2023-07-02.

austlii.edu.au (Global: 1,563^rd place; English: 725^th place)

www8.austlii.edu.au

Franklin, James (2011). "The objective Bayesian conceptualisation of proof and reference class problems". Sydney Law Review. 33: 545–561. Retrieved 30 June 2021.

colyvan.com (Global: low place; English: low place)

M. Colyvan, H.M. Regan and S. Ferson, Is it a crime to belong to a reference class?, Journal of Political Philosophy 9 (2001): 168-181

doi.org (Global: 2^nd place; English: 2^nd place)

Tillers, Peter (2005). "If wishes were horses: discursive comments on attempts to prevent individuals from being unfairly burdened by their reference classes". Law, Probability and Risk. 4 (1–2): 33–49. doi:10.1093/lpr/mgi001.

oup.com (Global: 292^nd place; English: 233^rd place)

academic.oup.com

Tillers, Peter (2005). "If wishes were horses: discursive comments on attempts to prevent individuals from being unfairly burdened by their reference classes". Law, Probability and Risk. 4 (1–2): 33–49. doi:10.1093/lpr/mgi001.

philpapers.org (Global: 2,176^th place; English: 1,487^th place)

Franklin, James (Mar 2010). "Feature selection methods for solving the reference class problem" (PDF). Columbia Law Review Sidebar. 110. Retrieved 30 June 2021.

ssrn.com (Global: 907^th place; English: 529^th place)

papers.ssrn.com

Atanasov, Pavel D.; Joseph, Regina; Feijoo, Felipe; Marshall, Max; Siddiqui, Sauleh (2021-12-09). "Human Forest vs. Random Forest in Time-Sensitive COVID-19 Clinical Trial Prediction". SSRN Electronic Journal. Rochester, NY. SSRN 3981732.

web.archive.org (Global: 1^st place; English: 1^st place)

A. Hájek, The Reference Class Problem is Your Problem Too, Synthese 156 (2007): 185-215.