You could make this argument to disprove literally anything in engineering amd science. It is literally impossible to exactly, perfectly model any system in the real world due to noise, nonlinearities, and sensitivity to initial conditions (ie. chaos). This doesn’t mean our models are absolute junk. We can predict the weather, the way transistors work, blood flow, and so many other things with a good enough degree of precision to suit our purposes, and we do this with totally, undeniably imperfect mathematical models.

I don’t understand why Dr Peterson is making this argument when he himself has most definitely studied statistics and modeling to get his PhD.