I did some analysis of the modlog and found this:
Ok, bigger instances ban more often. Not surprising, because they have more communities and more users and more trouble. But hang on, dbzer0 isn’t a very big instance. What happens if we do a ratio of bans vs number of users?
Ok, so lemmy.ml, dbzer0 and pawb are issue an outsized amount of bans for the number of users they have… But surely the number of communities the instance hosts is going to mean they have to ban more? Bans are used to moderate communities, not just to shield their user-base from the outside. Let’s look at the number of bans per community hosted:
Seems like dbzer0 really loves to ban. Even more than the marxists and the furries! What is it about dbzer0 that makes them such prolific banners?
Raw-ish numbers and calculations are in this spreadsheet if anyone wants to make their own charts.
You didn’t even bother reading the raw data and checking the data yourself. You are just mad that the data exposes people for who they are
From the alps to the north sea
I’m not the person you are replying to but you are entirely misunderstanding their point if you think the raw data itself, without analysis, is useful to draw conclusions from.
If you have lets say a friend with an admin account on a private instance, you can easily check the data and it checks out.
Once again, the issue isn’t the raw data. The issue is the analysis applied to the raw data.
Too many variables (with not enough information given) to easily diagnose precise mod behavior or ban rationales involved/employed.
Agreed.