Further reading: https://en.wikipedia.org/wiki/Seeing_Like_a_State
Not true. Statistical measures of large systems are a routine thing in the natural sciences. However that's higher effort and tends to make it more difficult to communicate the results to others so it's avoided whenever possible.
Also high dimensional models carry a distinct risk of overfitting.
Once we learn from our mistakes we can find the frequencies that do yield the best outcome and at the same time consume (say) ¼ the energy of an incandescent bulb.
Or the minimum set of species yielding optimal outcomes, without the answer being "all of them"
That was the original point to begin with, right? Learn what makes things tick and then build on that. We've got enough of it down to the atomic level that maybe we should zoom back to the supermolecular.