The Chances of Explanation

Describes a theory of deterministic and probabilistic causality that supports both quantitative and qualitative explanations. Features include the ability to provide both true explanations in contexts where knowledge is incomplete, and a direct realist view of causal relations.

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This book provides a post-positivist theory of deterministic and probabilistic causality that supports both quantitative and qualitative explanations. Features of particular interest include the ability to provide true explanations in contexts where our knowledge is incomplete, a systematic interpretation of causal modeling techniques in the social sciences, and a direct realist view of causal relations that is compatible with a liberal empiricism. The book should be of wide interest to both philosophers and scientists.

Originally published in 1989.

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