There is a fundamental disconnect between what is tested in a model adequacy test, and what we would like to test. The usual approach is to test the null hypothesis "Model M is the true model." However, Model M is never the true model. A model might still be useful even if we have enough data to reject it. In this paper, we present a technique to assess the adequacy of a model from the philosophical standpoint that we know the model is not true, but we want to know if it is useful. Our solution to this problem is …