This sounds more like an argument for systems design. You can easily build models and meta-models that help navigate various scopes. For example the concept of the long tail is by definition a widely-scoped way of gaining leverage in a situation where smaller details are important.
Traffic control systems, computer hardware design...these all incorporate the same combinations of depth and breadth of thinking. I think it's wise to keep an open mind and ask whether it's really necessary to exclude a given model or entire set of them.
It’s not a question of excluding the model, it’s a question of the feedback loop where the model is used to both inform your decisions and validate they where correct.
Goodhart's law is an adage often stated as "When a measure becomes a target, it ceases to be a good measure"
> it’s a question of the feedback loop where the model is used to both inform your decisions and validate they where correct.
Who exactly are we criticizing for doing this? Seems a bit like a straw man argument tbh. I'm not even sure how that relates to the more general concept raised above, of a single model of reality being reliable.
Traffic control systems, computer hardware design...these all incorporate the same combinations of depth and breadth of thinking. I think it's wise to keep an open mind and ask whether it's really necessary to exclude a given model or entire set of them.