 MCFactorization tells us that once we know the conditional probability distribution of each variable given its parents, \(\PP(X_i \mid \PA(X_i))\), we can compute the complete joint distribution over all of the variables. This captures Reichenbach’s idea that probability relations between variables that are not related as cause and effect are nonetheless derived from probability relations between causes and effects.