Publishing negative outcomes is essential for rejecting false claims

Figure 4. Publishing negative outcomes is essential for rejecting false claims. Probability that a false claim is incorrectly canonized, as a function of the negative publication rate. Throughout, initial belief is q_0 = 0.5, and individual data series show false positive rates α = 0.05 (yellow), 0....

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Hauptverfasser:	Nissen, Silas Boye, Magidson, Tali, Gross, Kevin, Bergstrom, Carl T.
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Sprache:	eng
Schlagworte:	Conceptual Modelling FOS: Computer and information sciences FOS: Media and communications Information Systems Informetrics Library and Information Studies Science Policy Simulation and Modelling
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creator	Nissen, Silas Boye Magidson, Tali Gross, Kevin Bergstrom, Carl T.
description	Figure 4. Publishing negative outcomes is essential for rejecting false claims. Probability that a false claim is incorrectly canonized, as a function of the negative publication rate. Throughout, initial belief is q_0 = 0.5, and individual data series show false positive rates α = 0.05 (yellow), 0.10, ..., 0.25 (red). Top row: weak evidentiary standards τ_0 = 0.1 and τ_1 = 0.9. Panel A: false negative rate β = 0.2. Panel B: β = 0.4. Panels C-D: similar to panels A-B, with more demanding evidentiary standards τ_0 = 0.001 and τ_1 = 0.999.
doi_str_mv	10.6084/m9.figshare.8311361
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Publishing negative outcomes is essential for rejecting false claims. Probability that a false claim is incorrectly canonized, as a function of the negative publication rate. Throughout, initial belief is q_0 = 0.5, and individual data series show false positive rates α = 0.05 (yellow), 0.10, ..., 0.25 (red). Top row: weak evidentiary standards τ_0 = 0.1 and τ_1 = 0.9. Panel A: false negative rate β = 0.2. Panel B: β = 0.4. 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Publishing negative outcomes is essential for rejecting false claims. Probability that a false claim is incorrectly canonized, as a function of the negative publication rate. Throughout, initial belief is q_0 = 0.5, and individual data series show false positive rates α = 0.05 (yellow), 0.10, ..., 0.25 (red). Top row: weak evidentiary standards τ_0 = 0.1 and τ_1 = 0.9. Panel A: false negative rate β = 0.2. Panel B: β = 0.4. Panels C-D: similar to panels A-B, with more demanding evidentiary standards τ_0 = 0.001 and τ_1 = 0.999.</abstract><pub>figshare</pub><doi>10.6084/m9.figshare.8311361</doi><orcidid>https://orcid.org/0000-0002-9473-4755</orcidid><oa>free_for_read</oa></addata></record>
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subjects	Conceptual Modelling FOS: Computer and information sciences FOS: Media and communications Information Systems Informetrics Library and Information Studies Science Policy Simulation and Modelling
title	Publishing negative outcomes is essential for rejecting false claims
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