David Kinney (London School of Economics)
In this article, I consider Curie's Principle from the point of view of graphical causal models, and demonstrate that the usual adequacy conditions for causal graphs---i.e. the Causal Markov Condition and Minimality---do not require anything like Curie's Principle to be true. In light of this finding, I conclude that Curie's Principle is, at best, a useful heuristic for discovering causal structure, rather than a deep truth about the causal structure of nature itself.
