Recently Burkholder "et al." argued that class normalized gains over the entire population of courses is approximated by a Cauchy distribution, not by a normal distribution, and therefore should not be used to compare different classes because means and standard deviations cannot be calculated. They argued that multiple linear regression should be used instead. Burkholder "et al." provided very little data in support of their belief, but instead provided a theoretical argument with certain assumptions. We shall show that these assumptions are unreasonable. We also show explicitly how normalized gains from 114 classes taught by six different instructors are indeed normally distributed and how two other even larger samples are roughly normally distributed and are not remotely like a Cauchy distribution. The continued use of normalized gains by physics instructors is therefore justified.