 in the psychology of causality (Shanks 1995; Cheng 1997). In particular, (Skovgaard-Olsen et al. 2016) found that depending on whether this measure is positive, negative, or null, the probability of a conditional may or may not equal the conditional probability. In other words, relevance considerations appear to interact with assignments of probabilities to conditionals, the main finding being that Adams’ Thesis appears to hold good only when \(\Delta(p)\) is positive. The equation breaks down, on the other hand, when \(\Delta(p)\) is null, so precisely in the case of non-interference conditionals. Furthermore, Rooij and Schulz (2019) argue that an even better predictor of the acceptability of conditionals is given by a normalized measure of contingency, that is, by the measure