Abstract

The Principle of Common Cause (PCC) puts forward the idea that events which occur simultaneously and are correlated have a prior common cause which screens off the correlation. I endorse the view that the PCC does qualify as a principle that can be used as a tool in explaining improbable coincidences. However, though there are epistemological advantages in common cause explanations of correlated events, the PCC is not impeccable. This paper offers a preliminary assessment of the PCC advocated by Reichenbach, and then attempts to illustrate three scenarios in which the principle might be inadequate in explaining correlated events. The paper also compares the Common Cause Principle and the Causal Markov Condition (CMC), and examines the advantages of CMC over the Common Cause Principle.