That is harmful nonsense. Old data will show what the new insentives are. You can than middel second iteration data accordingly, rinse and repeat, but you need to run the new rules against the old data just once. If you don't, the whole new incentives narratives will be nothing but speculative fiction.
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And that's exactly what it is. You can run the new rules on old data, and that's exactly how you get the immediate distribution at hard fork time. But after that, you can't predict anything. I don't see how you can claim that this has any predictive power. After all, you aren't going to be able to estimate how many downvotes are going to be issued, for starters.
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