And that's just it. The presence of a "samac pfpp" just proves there is a bias. Many people mentioned it in 10th Ann. That the exact same point out of one person's mouth would be weighed differently depending on who it came from, early in the game when there are the least data points on anything and we were were voting a non-yeet, so something not very crucial. So in some ways, at that point in the game, there was really no good reason to listen to anything samac said more than anything mkg said. But people acknowledged out of the gate feeling differently about a comment depending on where you thought it came from rather than where it actually did.
This happens all the time, where a point is made but it is never seriously considered unless a certain other player makes it. Noobs have complained about this before although I can't speak for if that complaint exists now.
What really makes me sad, is that we have these NK courtesy rules for people who modded or whatever, when we've effectively even admitted that some wolf packs have no hope of winning if they don't NK a certain group of players, yet they're still supposed to stay their hand, and then I don't always see people resisting their yeet instincts and driving off certain other players. I used to be very gung ho yeah let's yeet the noobs, but when someone says they feel picked on, I just lose my zest for their early yeet until I have more data points. The same mindset we claim we want in wolves picking their early NKs, we should maybe see in villagers yeeting.
At some point I was made aware that my play style was very anti-noob and driving people off and hurting them. So I tried to adjust. And now I find the main players taking what I have to say seriously are the noobs. So I am trying to be more pro-noob.
It makes me sad many of the players who seem to have been driven off. Yeah many of us take the game seriously and are competitive, but some others have been driven off because they didn't play a certain way.
We have to resist any urge to yeet or not yeet the same people over and over, because the statistics do not share our biases.