Another way to put this is that the diagram describes the relation of the variables in a qualitative way, but if you want quantitative answers, you also need quantitative inputs. In a Bayesian network, we have to specify the conditional probability of each node given its “parents.” (Remember that the parents of a node are all the nodes that feed into it.) These are the forward probabilities, P(evidence | hypotheses).