[exprofmaddy]

People wish to feel safe. One path to safety is controlling or managing the environment. Lack of sufficient control produces anxiety. But control is only possible if the environment is predictable, i.e., relatively certain knowledge that if I do X then the environment responds with Y. Humans use models for prediction. Loosely speaking, if the universe is truly mechanistic/deterministic, then the goal of modeling is to get the correct model (though notions of "goals" are problematic in determinism without real counterfactuals). However, if we can't know whether the universe is truly deterministic, then modeling is a pragmatic exercise in control (or management).

My comments are not about simulating the universe on a real machine. They're about the validity and value of math/computational modeling in a universe where determinism is scientifically indeterminable.

[Quekid5]

> However, if we can't know whether the universe is truly deterministic, then modeling is a pragmatic exercise in control (or management).

What would you say if we can predict the outcome of an experiment with 51% probability. Is that enough to establish what you call "control"? What if we can repeat the experiment as many times as we like?

(I must admit, I still don't really understand what "control" means to you, but let's get the preliminaries out of the way first.)