At most hypothesis may be false, or unsupported by the evidence, but never is a hypothesis by itself "bigotry".
TLDR: Not all suppositions are hypotheses.
To consider, represent, or cause to appear as larger, more important, or more extreme than is actually the case; overstate.
As you point out, the weighted difference is ~17 which you can clearly see in the data. Increasing this by a full point is quite significant and most people do not even have the intuition that it is even mathematically possible to increase 17 to 18. This is why we teach Simpson's paradox. I also posted the data so people could come to their own conclusion. Just because you use a definition of exaggeration to mean some nonsensically large difference, that does not make my claim misleading.
Thanks for sharing the data, but your own data doesn't appear to support that comment.
If I'm reading correctly, the overall drop in US scores was 18 points. The drop in US scores of the two largest populations were 16 points and 17 points respectively. This isn't Sampson's paradox at all. This is exactly what it looks like, each subpopulatuon dropped significantly in score between the pre-covid test and this one.
To call a difference in score of 17 vs 18 (the overall average) an "exaggeration due to reweighting" is quite a misleading stretch of interpretation.