I don’t dispute this. Still, my posting implicitly assumed the MWI.
My argument is that the brain as an information processing unit has a generic way of estimating probabilities based on a single-worldline of the Multiverse. This world both contains randomness stemming from missing information and quantum branching, but our brain does not differentiate between these two kind of randomnesses.
The question is how to calibrate our brain’s expectation of the quantum branch it will end up. What I speculate is that the quantum randomness to some extent approximates an “incomplete information” type of randomness on the large scale. I don’t know the math (if I’d knew I’d be writing a paper :)), but I have a very specific intuitive idea, that could be turned into a concrete mathematical argument:
I expect the calibration to be performed based on geometric symmetries of our 3 dimensional space: if we construct a sufficiently symmetric but unstable physical process (e.g. throwing a coin) than we can deduce a probability for the outcome to be 50⁄50 assuming a uniform geometric distribution of possible perturbations. Such a process must somehow be related to the magnitudes of wave function and has to be shown to behave similarly on the macro level.
Admitted, this is just a speculation, but it is not really philosophical in nature, rather an intuitive starting point on what I think has a fair chance ending up in a concrete mathematical explanation of the Born probabilities in a formal setting.
Does your notion of “incomplete information” take into account Bell’s Theorem? It seems pretty hard to make the Born probabilities represent some other form of uncertainty than indexical uncertainty.
I don’t suggest hidden variables. The idea is that quantum randomness should resemble incomplete information type of randomness on the large scale and the reason that we perceive the world according to the Born rule is that our brain can’t distinguish between the two kind of randomnesses.
I don’t dispute this. Still, my posting implicitly assumed the MWI.
My argument is that the brain as an information processing unit has a generic way of estimating probabilities based on a single-worldline of the Multiverse. This world both contains randomness stemming from missing information and quantum branching, but our brain does not differentiate between these two kind of randomnesses.
The question is how to calibrate our brain’s expectation of the quantum branch it will end up. What I speculate is that the quantum randomness to some extent approximates an “incomplete information” type of randomness on the large scale. I don’t know the math (if I’d knew I’d be writing a paper :)), but I have a very specific intuitive idea, that could be turned into a concrete mathematical argument:
I expect the calibration to be performed based on geometric symmetries of our 3 dimensional space: if we construct a sufficiently symmetric but unstable physical process (e.g. throwing a coin) than we can deduce a probability for the outcome to be 50⁄50 assuming a uniform geometric distribution of possible perturbations. Such a process must somehow be related to the magnitudes of wave function and has to be shown to behave similarly on the macro level.
Admitted, this is just a speculation, but it is not really philosophical in nature, rather an intuitive starting point on what I think has a fair chance ending up in a concrete mathematical explanation of the Born probabilities in a formal setting.
Does your notion of “incomplete information” take into account Bell’s Theorem? It seems pretty hard to make the Born probabilities represent some other form of uncertainty than indexical uncertainty.
I don’t suggest hidden variables. The idea is that quantum randomness should resemble incomplete information type of randomness on the large scale and the reason that we perceive the world according to the Born rule is that our brain can’t distinguish between the two kind of randomnesses.