It is true that validity is not guaranteed by performing statistical tests alone. Let's forget what we have already invested. If we had not already used the KS test, would we still have chosen an approach that does not account for effects of truncation on the meaning of distribution tails, especially when data are naturally bounded, as is the case for income or credit scores? This can significantly distort comparisons, even with very close distributions.