Negative posts that I post tend to do better than neutral or positive ones. I have a classifier that judges titles on "most likely to get upvoted" for which "Richard Stallman is Dead" is the optimal title, and another that judges on "likely to have a comments/vote ratio > 0.5" [1]. The first one is a crummy model in terms of ROC, the second is pretty good and favors things that are clickbaity, about the battle of the sexes, and oddly, about cars.
But that 35 as an average score is hard for me to believe at first, I mean, the median HN post gets no votes, last time I looked the mean was around 8 or so. What is he sampling from?
But that 35 as an average score is hard for me to believe at first, I mean, the median HN post gets no votes, last time I looked the mean was around 8 or so. What is he sampling from?
[1] comments/votes = 0.5 is close to the mean