[i_love_limes]

A lot of people... in fact a huge portion of statisticians, epidemiologists, econometrics, use it as their primary language.

I do genetic epidemiology (which is considerably more compute intensive than regular epidemiology), and R is still the most common language, with the most libraries and packages being used for it, compared to python for example.

I think maybe you should consider being less forthcoming with your opinions on topics which you are not well informed on.

[wespiser_2018]

I worked in data science for a few start ups, and even though I know Python (it's my LeetCode language of choice), R just dominates when it comes to accessing academic methods and computational analysis. If you are going to push the boundaries of what you can and can't analysis for statistical effects and leverage academic learnings, it's R.