This is true, these "laws" are approximations and imperfect reductions.

Which one is useful or descriptive will depend on the specific example.

Optimizing ML VS Optimizing a social media algorithm VS using standardized testing to optimize education systems.

There is no perfect abstraction that applies to these different scenarios precisely. We don't need that precision. We just need the subsequent intuition about where these things will go wrong.