Sikorski, Michal and van Dongen, Noah and Sprenger, Jan (2019) Causal Conditionals, Tendency Causal Claims and Statistical Relevance. [Preprint]

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Abstract

Indicative conditionals and tendency causal claims are closely related to each other (e.g., Frosch and Byrne 2012), but despite these connections, they are usually studied separately. A unifiying framework could consist in their dependence on probabilistic factors such as statistical relevance, but theoretical research along these lines (e.g., Eells 1991; Douven 2008, 2016) needs to be strengthened by more empirical results. This paper closes that gap and presents empirical results on how judgments on tendency causal claims and indicative conditionals are driven
by probabilistic factors, and how these factors (in particular statistical relevance) differ in their predictive power for both causal and conditional claims.

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Item Type:	Preprint
Creators:	Creators Email ORCID Sikorski, Michal michal.sikorski@unito.it van Dongen, Noah noah.vandongen@unito.it Sprenger, Jan jan.sprenger@unito.it
Keywords:	indicative conditionals; causal conditionals; tendency causal claims; Adams’ Thesis; causal strength; statistical relevance
Subjects:	General Issues > Causation Specific Sciences > Cognitive Science General Issues > Confirmation/Induction Specific Sciences > Psychology > Judgment and Decision Making Specific Sciences > Probability/Statistics
Depositing User:	Jan Sprenger
Date Deposited:	16 Dec 2019 18:23
Last Modified:	16 Dec 2019 18:23
Item ID:	16732
Subjects:	General Issues > Causation Specific Sciences > Cognitive Science General Issues > Confirmation/Induction Specific Sciences > Psychology > Judgment and Decision Making Specific Sciences > Probability/Statistics
Date:	December 2019
URI:	https://philsci-archive.pitt.edu/id/eprint/16732

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