Online research in philosophy

In this paper I wish to argue that counterfactual analyses of causation are inadequate. I believe the counterfactuals that are involved in counterfactual analyses of causation are often false, and thus the theories do not provide an adequate account of causation. This is demonstrated by the presentation of a counterexample to the counterfactual analyses of causation. I then present a unified theory of causation that is based upon probability and counterfactuals. This theory accounts for both deterministic and indeterministic causation, and is not subject to many of the traditional problems facing theories of causation.

This is an excellent anthology. The contributors are first-rate, the contributions are state-of-the-art, and the content is highly unified. The introduction further connects the essays and succinctly articulates the main themes. What results will be of interest to anyone interested in the contemporary discussion of causation.