All models are wrong but some are useful.
2.3 Parsimony
Since all models are wrong the scientist cannot obtain a "correct" one by excessive elaboration. On the contrary following
William of Occam he should seek an economical description of natural phenomena. Just as the ability to devise simple but evocative models is the signature of the great scientist so overelaboration and overparameterization is often the mark of mediocrity.
2.4 Worrying Selectively
Since all models are wrong the scientist must be alert to what is importantly wrong. It is inappropriate to be concerned about mice when there are tigers abroad.
https://en.wikipedia.org/wiki/All_models_are_wrong
"Cunningly chosen parsimonious models often do provide remarkably useful approximations."
"Remember that all models are wrong; the practical question is how wrong do they have to be to not be useful."
"Modelling in science remains, partly at least, an art."
"A map is not the territory it represents, but, if correct, it has a similar structure to the territory, which accounts for its usefulness."
"Everything simple is false. Everything which is complex is unusable."
"A model is a simplification which fosters understanding."
"Scientists generally agree that no theory is 100 percent correct. Thus, the real test of knowledge is not truth, but utility.
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“The basic trouble, you see, is that people think that “right” and “wrong” are absolute; that everything that isn’t perfectly and completely right is totally and equally wrong."
https://fs.blog/2017/06/all-models-are-wrong/