Kind of, because “multiple future outcomes are possible, rather than one inevitable outcome” could sort of be said to apply to both true stochasticity and true quantum mechanics. With true stochasticity, it has to evolve by a diffusion-like process with no destructive interference, whereas for true quantum mechanics, it has to evolve by a unitary-like process with no information loss.
So to a mind that can comprehend probability distributions, but intuitively thinks they always describe hidden variables or frequencies or whatever, how does one express true stochasticity, the notion where a probability distribution of future outcomes are possible (even if one knew all the information that currently exists), but only one of them happens?
I’ve been arguing before that true randomness cannot be formalized, and therefore Kolmogorov Complexity(stochastic universe) = ∞. But ofc then the out-of-model uncertainty dominates the calculation, mb one needs a measure with a randomness primitive. (If someone thinks they can explain randomness in terms of other concepts, I also wanna see it.)
Kind of, because “multiple future outcomes are possible, rather than one inevitable outcome” could sort of be said to apply to both true stochasticity and true quantum mechanics. With true stochasticity, it has to evolve by a diffusion-like process with no destructive interference, whereas for true quantum mechanics, it has to evolve by a unitary-like process with no information loss.
So to a mind that can comprehend probability distributions, but intuitively thinks they always describe hidden variables or frequencies or whatever, how does one express true stochasticity, the notion where a probability distribution of future outcomes are possible (even if one knew all the information that currently exists), but only one of them happens?
I’ve been arguing before that true randomness cannot be formalized, and therefore Kolmogorov Complexity(stochastic universe) = ∞. But ofc then the out-of-model uncertainty dominates the calculation, mb one needs a measure with a randomness primitive. (If someone thinks they can explain randomness in terms of other concepts, I also wanna see it.)