 One can then use the machinery of structural models to derive a common cause principle from the initial randomness assumption. In particular, the initial randomness assumption can be used to break the symmetry between the retarded and advanced Green’s functions for hyperbolic equations: Causal model constructed with retarded Green’s functions as structural equations satisfy the probabilistic independence assumption required in the structural model framework, while putatively causal models constructed with “anti-causal” or advanced Green’s functions violate the probabilistic independence assumption, since in such models the highly correlated variables characterizing a system’s final state functions as exogenous variables. Thus structural model accounts may provide an appropriate framework to support the claim that causal inferences and judgments play an important role in physics.