Physics is inherently simple. Accurate mathematical modeling of physics is hard. A layman can understand (real) physics easily, but cannot accurately predict a

Physics is inherently simple. Accurate mathematical modeling of physics is hard. A layman can understand (real) physics easily, but cannot accurately predict anything except some simple things. Each additional digit of accuracy requires additional complexity in models, which laymen nor need nor understand. Unfortunately, real physical physics, with inaccurate physical models, completely replaced by much more accurate mathematical models by «shut up and calculate» guys, which explicitly ignore real physical processes behind the scenes to perform calculations faster and with more accuracy. It's similar to how we use AI: we ask questions, AI system performs abstract calculations, then we have an answer. To advance in physics, we need to create inaccurate physical models of physical world. For example, hydrodynamic quantum analogs[1] are highly inaccurate, but they allow to develop intuition about quantum world. [1]: https://en.wikipedia.org/wiki/Hydrodynamic_quantum_analogs https://en.wikipedia.org/wiki/Hydrodynamic_quantum_analogs