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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Counterfactuals Without Causation, Probabilistic Counterfactuals and the Counterfactual Analysis of Causation

Loewenstein, Yael Rebecca, Loewenstein, Yael Rebecca January 2017 (has links)
It is near-consensus among those currently working on the semantics of counterfactuals that the correct treatment of counterfactuals (whatever it is) must invoke causal independence in order to rule a particular set of seemingly true counterfactuals – including a famous one called Morgenbesser's Coin (MC) – true. But if we must analyze counterfactuals in terms of causation, this rules out giving a reductive account of causation in terms of counterfactuals, and is, as such, a serious blow to the Humean hope of reducing causation to counterfactual dependence. This dissertation is composed of three self-standing articles. In the first article I argue that counterfactuals like MC are false contrary to appearances; as is the thesis that the correct semantics of counterfactuals must appeal to causal independence. In the second article I argue that there are important, widely-held assumptions about difference-making and its relationship to causation which are false, and which may underlie some of the remaining, most threatening objections to the counterfactual analysis of causation. In the final article I discuss the puzzle of reverse Sobel sequences – an alleged problem for the classic Lewis-Stalnaker semantics for counterfactuals. I argue that none of the extant approaches to the problem are right, and defend a novel solution to the puzzle. If I am correct, reverse Sobel sequences do not threaten the classic analysis. They do, however, give additional evidence for the thesis, forcefully defended by Alan Hájek, that most non-probabilistic 'would'-counterfactuals are false. This motivates placing a stronger emphasis on trying to understand probabilistic counterfactuals first and foremost.

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