I’m writing this comment without checking the internet, but I don’t quite see the analogy to renormalization. In renormalization you might, for example, have a theory about some scale that can be interpreted as making predictions about the next scale, and these theories at different scales all have the same form but maybe different parameters, so you can solve the whole stack at once.
This post doesn’t really have theories. I suppose you could loosely interpret frequentism as a theory here, and say that the future will continue with the same distribution as the past, but this theory is terrible for renormalization, because it means that as you change scales you expect pure randomness to dominate. I’d categorize this post more as about phenomenology—maybe “phenomenological scaling” or “phenomenological coarse-graining.”
I’m writing this comment without checking the internet, but I don’t quite see the analogy to renormalization. In renormalization you might, for example, have a theory about some scale that can be interpreted as making predictions about the next scale, and these theories at different scales all have the same form but maybe different parameters, so you can solve the whole stack at once.
This post doesn’t really have theories. I suppose you could loosely interpret frequentism as a theory here, and say that the future will continue with the same distribution as the past, but this theory is terrible for renormalization, because it means that as you change scales you expect pure randomness to dominate. I’d categorize this post more as about phenomenology—maybe “phenomenological scaling” or “phenomenological coarse-graining.”