 The retrocausal behavior of the model arises as a result of the heavy constraints that the two basic rules place on the possible flavors of the hidden edges, which establishes correlations between the input states and the hidden states. Thus interventions on the left or right exogenous variables influence the complete set of possible hidden states of the system. Assuming that the hidden states are in the past of these variable choices, the hidden state depends “retrocausally” on the left and right input settings. Moreover, under specific node variables, some interventions on the left or right exogenous variables amount to interventions on the distant output variable, displaying a kind of nonlocality (but violating no-signaling).