What are the consequences of this, in terms of prediction accuracy?

so basically what TFA says is if you build a new model on Nate's model outputs and use that to compute conditional probabilites of various improbable scenarios you see weird shit. State level polling data according to Nate isn't all that great (read: high uncertainty, moves around when a new poll comes out) unless it's a swing state. But hey when you go looking into noise you are going to see.... weird shit.

Did you Google any other good blog posts?