Let's forget our past investments in this method. If we had to start over, we would not choose a test that does not detect shape differences beyond simple shifts. The Kolmogorov-Smirnov tests, for example, are less sensitive to variations in the tails of distributions, where extreme risks and hidden opportunities often reside.