I thought the video very much did make that case. A single known cheating game had a 98% correlation (Sebastien Feller Paris 2010), other GMs have generally at most 75% average correlation. The analysis had more than half a dozen games with Niemann at 100% correlation. If that's cherry picking, it seems like there are a lot of cherries to pick.
We don't know! That's why this is an incomplete analysis. A comparison against other players of his caliber would answer that question.
100% correlation to an output that can be tuned doesn't seem that exciting
The first 4 are the most interesting, having same sample size of 4000. But across the board players tend to have little distinction between choosing moves between 0.0 & 0.1, except one player