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The book explores the relationship between evidence, concepts, and purposes in causal investigations across various scientific fields. Reiss contends that there is no universal "gold standard" for addressing causal questions, as different methods—like experiments and statistical tools—are effective based on specific interpretations of "cause." Each interpretation serves distinct purposes, such as prediction or policy analysis. Through case studies from both natural and social sciences, the book delves into the metaphysical and methodological implications of this perspective.
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Causation, Evidence, and Inference, Julian Reiss
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- Année de publication
- 2017
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