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The University of Arizona.

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

Abstract

dc:description.abstract

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.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Graduate College
Grantor dc:publisher
The University of Arizona.
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Loewenstein, Yael Rebecca
Advisor dc:contributor.advisor
  • Horgan, Terry
Committee members dc:contributor.committeemember
  • Horgan, Terry
  • Comesaña, Juan
  • Sartorio, Carolina
  • Turner, Jason

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10150/625614
OAI identifier oai:identifier
oai:repository.arizona.edu:10150/625614

Chain of custody

source
Harvested from
University of Arizona
Base URL
repository.arizona.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Loewenstein, Yael Rebecca. Counterfactuals Without Causation, Probabilistic Counterfactuals and the Counterfactual Analysis of Causation. doctoral thesis, The University of Arizona., 2017. http://hdl.handle.net/10150/625614