La naturaleza estadística de la causalidad
DOI:
https://doi.org/10.53382/issn.2735-6140.66Resumen
Traducción del inglés de Natalia Sohee Chung Park
https://orcid.org/0009-0006-9188-210X
Este trabajo reciente de David Papineau retoma el proyecto de la exacta relación entre las correlaciones estadísticas y la causalidad desde un análisis a posteriori acerca de naturaleza de la causalidad. Da cuenta del comportamiento estadístico de la causalidad y propone un enfoque y método reduccionista nuevo para abordar la causalidad, entre sus ventajas, la capacidad de responder acerca de la asimetría temporal entre causa y efecto, explicar la discrepancia entre causalidad y causalidad caso–particular (singular–case causation), y entre otros problemas que típicamente se enfrentan los enfoques y métodos tradicionales de inferencias causales o modelamiento de estructuras determinísticas causales. La importancia de este trabajo filosófico radica en la continuación del proyecto del uso de ecuaciones estructurales determinísticas para hacer inferencias causales, su clara y rigurosa metodología, su aplicación a casos relevantes para explicar más acabadamente su teoría causal (uno de los casos siendo el de las correlaciones EPR), y su novedoso aporte a la estadística y a la metafísica de la causalidad.
Este artículo fue publicado originalmente en: David Papineau, The Statistical Nature of Causation, The Monist, Volume 105, Issue 2, April 2022, Pages 247–275, https://doi.org/10.1093/monist/onab034
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