Abstract

In a recent issue of this journal, Philip Dawid proposes a framework for causal inference that is based on statistical decision theory and that is, in many aspects, compatible with the familiar framework of causal graphs ). This editorial compares the methodological features of the two frameworks as well as their epistemological basis.