 What speaks for retaining faithfulness is that it is a central assumption in many causal discovery algorithms. Yet there are also arguments suggesting that faithfulness cannot be a necessary condition on causal models (Cartwright 2001). Paradigmatic cases of violations of faithfulness involve cancelations among different causal paths, as they occur in feedback-control structures. For example, ambient temperature is causally relevant to human body temperature, even though body temperature is probabilistically independent of ambient temperature over a wide range of ambient temperatures, since the human body responds to changes in ambient temperatures through various mechanisms along different causal routes, which are fine-tuned in a way that allow the body to maintain a constant core temperature. Thus, faithfulness arguably is not a necessary condition for causal models.