Shafer and Vovk have shown how to base probability theory on game theory. In this framework, we give probabilities an empirical predictive meaning by means of a form Cournot's principle, which says that reality will not permit gambler win disproportionately the capital he risks. How does principle apply causal interpretation graphical models?