 This analysis separates non-evaluative description from evaluation, and grasping it requires grasping good. But grasping the non-evaluative information that distributively just only applies to distributions won’t be enough to know just which distributions fall into its extension. That requires knowing which properties of distributions are good making. Similarly, mastering how insiders apply distributively just requires knowing which properties they take to make distributions good. In this way, Separabilists can agree that “evaluation drives extension” (a phrase from Blackburn 1992; see also Gibbard 1992). Thus they can accept the second premise of the anti-disentangling argument while rejecting its first premise (which presupposes Descriptive Equivalence).