Probabilistic Causality
Salmon (Wesley)
Source: Salmon - Causality and Explanation
Paper - Abstract

Paper StatisticsDisclaimer

Philosophers Index Abstract

    This article provides a critical analysis and comparison of the theories of probabilistic causality1 offered by hans reichenbach, I j good, and patrick suppes. Each of these theories faces certain fundamental difficulties. In the end, I argue that probabilistic causality2 cannot be explicated in terms of statistical relations among discrete events alone; instead, we must take into account the physical processes which provide causal connections among the events involved.


Also in "Sosa (Ernest) & Tooley (Michael), Eds. - Causation"

Text Colour Conventions (see disclaimer)

  1. Blue: Text by me; © Theo Todman, 2019
  2. Mauve: Text by correspondent(s) or other author(s); © the author(s)

© Theo Todman, June 2007 - Feb 2019. Please address any comments on this page to File output:
Website Maintenance Dashboard
Return to Top of this Page Return to Theo Todman's Philosophy Page Return to Theo Todman's Home Page