How would you respond to these comments

It should come as no surprise that most researchers will be dealing with large data sets. Comparing those data sets is also quite common and can become challenging when they are recorded differently, for example in different units of measurement. Standardization attempts to solve such issues by converting individual scores from different normal distributions to a shared normal distribution with a known mean, standard deviation, and percentiles. (Heinzen, 2014) This makes analyzing and comparing such distributions much easier.Linear transformation of data will go hand in hand with standardization as similarly the effects on a data set by one variable are removed allowing for easier analysis and more accurate results.

The benefit of standardization and linear transformations far outweigh any potential negatives as they have little impact on the overall spread. In addition, they can improve estimation by providing larger data set to analyze.