On Fri, Mar 6, 2020 at 10:18 AM 'Brent Meeker' via Everything List <
[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]> 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.

Bruce

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