Anonymous ID: 45afd8 April 14, 2019, 9:09 a.m. No.6174949   🗄️.is 🔗kun   >>4954 >>4957 >>4978

Have any anons ever tried to sort through the entire resignation list and look for connections and patterns?

 

I've wanted to do that for ages, but the list is enormous. Are there any data mining techniques that could be used? Is there a way to screen out which ones are Q related and which ones are run of the mill? There's Gold in there, I'm sure of it.