Original Post

Mathematics we call "predictive models" are not innocent matters, and these are surprisingly equivalent classes to control theory. We've being told that control theory produces a set of recommended actions to be taken, but it doesn't: it gives you "predictions" in the form of transformed pixels, after you feed into it an actual set of actions taken and measurements-observations. The control theory algorithm learns which variables have controllability / manipulatability properties in the form of scientifically extracted statistical correlations between variables we call "physical model." Physics is as "dangerous" as control theory: because it has strong causality / correlations embedded in its mathematics, after you run the computation process (even in your head!) the models starts controlling reality. But don't be afraid to trust it: the sole purpose is to communicate clearly the desired state of the world YOU WANT to see.