2015•Thought A Journal of PhilosophyOpen access

The Deviance in Deviant Causal Chains

Neil McDonnell

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Abstract

Causal theories of action, perception and knowledge are each beset by problems of so-called ‘deviant’ causal chains. For each such theory, counterexamples are formed using odd or co-incidental causal chains to establish that the theory is committed to unpalatable claims about some intentional action, about a case of veridical perception or about the acquisition of genuine knowledge. In this paper I will argue that three well-known examples of a deviant causal chain have something in common: they each violate Yablos proportionality constraint on causation. I will argue that this constraint provides the key to saving causal theories from deviant chains.

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Causal theories of action, perception and knowledge are each beset by problems of so-called ‘deviant’ causal chains. For each such theory, counterexamples are formed using odd or co-incidental causal chains to establish that the theory is committed to unpalatable claims about some intentional action, about a case of veridical perception or about the acquisition of genuine knowledge. In this paper I will argue that three well-known examples of a deviant causal chain have something in common: they each violate Yablos proportionality constraint on causation. I will argue that this constraint provides the key to saving causal theories from deviant chains.

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Available abstract

Causal theories of action, perception and knowledge are each beset by problems of so-called ‘deviant’ causal chains. For each such theory, counterexamples are formed using odd or co-incidental causal chains to establish that the theory is committed to unpalatable claims about some intentional action, about a case of veridical perception or about the acquisition of genuine knowledge. In this paper I will argue that three well-known examples of a deviant causal chain have something in common: they each violate Yablos proportionality constraint on causation. I will argue that this constraint provides the key to saving causal theories from deviant chains.

Key concepts: Deviance (statistics), Psychology, Causal chain, Developmental psychology, Cognitive psychology, Epistemology, Computer science, Philosophy

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