 Within the context of surrogate models, any successful solution to the problem of extrapolation must explain how inferences can be justified given causally relevant differences between models and their targets (Lafollette and Shanks 1996). It must also avoid what Daniel Steel (2008) calls the “extrapolator’s circle”, which arises when attempting to determine whether the model and its target are similar enough in casually relevant respects.