Ok — but in many cases there’s more that can be said about the error in the approximation to D of S and S_2 which would allow discussion of various forms of bounded or constrained distributional shift. I don’t think the only choices are “no distributional shift” and “arbitrary distributional shift” are they? What’s the vocabulary to refer to poor generalization performance to datasets with some form of constrained or procedurally introduced distributional shift?