The reason to prefer simplicity is that fewer bits of information are required to store a simple theory. This makes simple theories easier to use correctly (si

The reason to prefer simplicity is that fewer bits of information are required to store a simple theory. This makes simple theories easier to use correctly (since there are fewer bits which can be subject to transcription errors, for example). So among equally predictive theories, the simplest one has important advantages. If simplicity is also aligned with some bias in the natural world, that's purely a bonus. You might expect that to be the case if simple mechanisms were more probable than complex ones, and simple mechanisms were more likely to lead to simple behavior. So maybe there's something to that idea, but maybe not -- this author seems to know a lot more about it than I do.