Those are 2 good examples. A lot of the old terminology is very powerful because it doesn’t try to be slick/pc. Saying ‘variance’ is slick but it doesn’t convey

Those are 2 good examples. A lot of the old terminology is very powerful because it doesn’t try to be slick/pc. Saying ‘variance’ is slick but it doesn’t convey as much as dispersion. Statisticians also speak in terms of first raw moment which has a lot of physical meaning behind it - saying ‘mean’ doesn’t convey anything. We frequently use coefficient of variation in the old texts. It tells you right away that it has something to do with variation, so you can dig into it and find you are normalizing the dispersion by the expectation so basically how much variation for a given amount of expectation. Instead of saying useless jargon like sharpe of vtsax is 0.7 on a 3 year timeframe, you could as well have said a coefficient of variation of 1.4 - that tells you right away how much dispersion you can expect in your return, whereas by saying sharpe you are simply gatekeeping and putting william sharpe on a pedestal for what is essentially a very silly ratio that statisticians have used for centuries without any fuss. I notice that in all the Indian news channels, they have translated the word monkey and the word pox, and then combined the two translations into a compound word, which right away gives much more useful information than calling it mpox because of dei reasons. So the people speaking Hindi or Tamil or any Indian language know right away what the disease refers to, whereas saying mpox gives you zero info. The next generation will simply be told mpox and think thats an actual word.