Alright let me try to be real. After reading http://www.sciencemag.org/news/2017/04/even-artificial-intel... and https://en.wikipedia.org/wiki/Implicit-association_test (in that order thank you), it looks like the implicit association test is a good way to magnify small differences (I'm thinking floating point error) in how much you associate one of a few words with a certain other. So, presumably, quantification would really be a natural way to eliminate those types of subtle differences.