The article mentions a couple of formulas for the ranking algorithm. I'd like to point out my data-driven reverse-engineering of the HN ranking algorithm from 2

The article mentions a couple of formulas for the ranking algorithm. I'd like to point out my data-driven reverse-engineering of the HN ranking algorithm from 2013. The basic ranking formula uses votes and age with various exponents. But in my analysis, I found that "penalties" had a large effect on the ranking. Some penalties are applied automatically based on title words or the domain. Other penalties would be applied later. Too many comments would trigger the "controversy" penalty which would cause a sudden and drastic ranking drop. Link: https://www.righto.com/2013/11/how-hacker-news-ranking-really-works.html https://www.righto.com/2013/11/how-hacker-news-ranking-reall...