Causal Explanatory Power

British Journal for the Philosophy of Science:axy012 (2017)
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Abstract

Schupbach and Sprenger introduce a novel probabilistic approach to measuring the explanatory power that a given explanans exerts over a corresponding explanandum. Though we are sympathetic to their general approach, we argue that it does not adequately capture the way in which the causal explanatory power that c exerts on e varies with background knowledge. We then amend their approach so that it does capture this variance. Though our account of explanatory power is less ambitious than Schupbach and Sprenger’s in the sense that it is limited to causal explanatory power, it is also more ambitious because we do not limit its domain to cases where c genuinely explains e. Instead, we claim that c causally explains e if and only if our account says that c explains e with some positive amount of causal explanatory power.

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Author Profiles

Benjamin Eva
Duke University
Reuben Stern
Duke University

Citations of this work

Anti-reductionist Interventionism.Reuben Stern & Benjamin Eva - 2023 - British Journal for the Philosophy of Science 74 (1):241-267.
Foundations of a Probabilistic Theory of Causal Strength.Jan Sprenger - 2018 - Philosophical Review 127 (3):371-398.
Unification and explanation from a causal perspective.Alexander Gebharter & Christian J. Feldbacher-Escamilla - 2023 - Studies in History and Philosophy of Science Part A 99 (C):28-36.
Hypothetical Interventions and Belief Changes.Holger Andreas & Lorenzo Casini - 2019 - Foundations of Science 24 (4):681-704.
Against Probabilistic Measures of Explanatory Quality.Marc Lange - 2022 - Philosophy of Science 89 (2):252-267.

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