 The upshot of these considerations is that starting from Stalnaker’s conditional, we can see that its probability is not the conditional probability, but the imaging probability (for more on imaging, we refer to Günther 2018). Conversely, starting from the conditional probability of \(C\) given \(A\), we have seen that it is not in general equal to the probability of any possible world proposition. Importantly, Adams’s Thesis remains coherent for simple conditionals qua definition, because it stipulates that the probability of a conditional sentence is a certain conditional probability. However, as an empirical thesis, Stalnaker’s Hypothesis states a substantive identity between quantities defined separately, and we now see better why it should fail. Whether Adams’ Thesis holds as a matter of empirical fact and even for simple conditionals is still debated. Recent findings, to which we return in  section 7,  suggest that relevance considerations also come into play (Douven 2016; Skovgaard-Olsen, Singmann, &amp; Klauer 2016).