Black holes cause event horizons, depending on the mass compressed into a narrow space (point?). From this analogy, could the quantity (mass?) of information in a narrow space lead to an insight horizon, which is why we cannot see into it from the outside and therefore no 100 percent simulation of a real system filled with a lot of information can succeed?

The more factors we use to model a system, the closer we get to reality (e.g. ecosystems) - but this process is asymptotic (reality is asymptotically approximated with every additional correct factor). Interestingly, it also seems to us that an object red-shifts into infinity when it approaches a black hole (also asymptotically).

Can we learn anything from this analogy? And if so, what?

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