 RCCP says that probabilistic correlations are ultimately derived from causal relationships. That is, if \(p(A\cap B)&gt;p(A)p(B)\), that is either because one of these events causes the other, or else the inequality can be derived from other inequalities \(p(A|C) &gt; p(A|\overline{C})\) and \(p(B|C) &gt; p(B|\overline{C})\) where C is a cause of A and B. The principle is significant because it posits a connection between causal structure and probabilistic correlations that licenses inferences to causal relationships from empirically observable correlations.