I'm reminded of https://blog.khinsen.net/posts/2020/12/10/the-structure-and-interpretation-of-scientific-models/ https://blog.khinsen.net/posts/2020/12/10/the-s

I'm reminded of https://blog.khinsen.net/posts/2020/12/10/the-structure-and-interpretation-of-scientific-models/ https://blog.khinsen.net/posts/2020/12/10/the-structure-and-... the opening paragraph is worth quoting in (almost) full: > It is often said that science rests on two pillars, experiment and theory. Which has lead some to propose one or two additional pillars for the computing age: simulation and data analysis. However, the real two pillars of science are observations and models. Observations are the input to science, in the form of numerous but incomplete and imperfect views on reality. Models are the inner state of science. They represent our current understanding of reality, which is necessarily incomplete and imperfect, but understandable and applicable. Simulation and data analysis are tools for interfacing and thus comparing observations and models. They don’t add new pillars, but transforms both of them.