If a phenomenon isn’t model-able by relatively simple math it doesn’t even look like a phenomenon to us, it looks like a chaotic mess.
Which is to say that unless something has mathematical coherence it is more or less invisible to our experience.
If a phenomenon isn’t model-able by relatively simple math it doesn’t even look like a phenomenon to us, it looks like a chaotic mess.
Which is to say that unless something has mathematical coherence it is more or less invisible to our experience.
Here is a summary - https://thetelos.org/science-and-method-science-et-methode-h...
Here is a video discussion - https://www.youtube.com/watch?v=sQ-t8-igDZo
The thesis is that Science is made for efficiency and hence does not include everything (which is infinite). It only looks for a hierarchy of interesting facts and focuses on simple foundational recurring phenomena from nature. It then uses the language of Mathematics to economize and impose order on the complexity to make it tractable.
Finally, our subconscious prefers aesthetic attributes and hence we often find/create harmony/symmetry/beauty in our mathematical products.
So I think symmetry might just be one of the tricks that keep working and keeps on giving back and so we love it and call it "beautiful".
Of course, I think putting numbers to wishy washy meta-quantities like "how efficiently does a certain conceptual scheme help you" are super loaded and hard to properly talk about (incommensurability). I've been toying with trying to make a repository of all the possible "moves" one can make in this kind of abstract analysis - constrain the problem statement, argue something like "the system is what it does", dissolving, etc. but even that seems hard