On 3/5/2020 3:33 PM, Bruce Kellett wrote:
On Fri, Mar 6, 2020 at 10:18 AM 'Brent Meeker' via Everything List <[email protected] <mailto:[email protected]>> wrote:

    On 3/5/2020 2:01 PM, Bruce Kellett wrote:
    On Fri, Mar 6, 2020 at 8:17 AM 'Brent Meeker' via Everything List
    <[email protected]
    <mailto:[email protected]>> wrote:

        On 3/5/2020 3:07 AM, Bruce Kellett wrote:

            there is no "weight" that differentiates different
            branches.

            Then the Born rule is false, and the whole of QM is false.


        No, QM is not false. It is only Everett that is disconfirmed
        by experiment.

            Everett + mechanism + Gleason do solve the core of the
            problem.


        No. As discussed with Brent, the Born rule cannot be derived
        within the framework of Everettian QM. Gleason's theorem is
        useful only if you have a prior proof of the existence of a
        probability distribution. And you cannot achieve that within
        the Everettian context. Even postulating the Born rule ad
        hoc and imposing it by hand does not solve the problems with
        Everettian QM.

        What needs to be derived or postulated is a probability
        measure on Everett's multiple worlds.  I agree that it can't
        be derived.  But I don't see that it can't be postulated that
        at each split the branches are given a weight (or a
        multiplicity) so that over the ensemble of branches the Born
        rule is statistically supported, i.e. almost all sequences
        will satisfy the Born rule in the limit of long sequences.


    Unfortunately, that does not work. Linearity means that any
    weight that you assign to particular result remains outside the
    strings, so data within each string are independent of any such
    assigned weights. The weights would not, therefore, show up in
    any experimental results. The weights can only work in a
    single-world version of the model.

    True.  But the multiplicity still works.


NO, it doesn't. Just think about what each observer sees from within his branch.

It's what an observer has seen when he calculates the statistics after N trials.  If a>b there will be proportionately more observers who saw more 0s than those who saw more 1s.  Suppose that a2=2/3 and b2=1/3.  Then at each measurement split there will be two observers who see 0 and one who sees 1.  So after N trials there will be N^3 observers and most of them will have seen approximately twice as many 0s as 1s.

Brent


Bruce
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