On Tue, Feb 18, 2025 at 9:26 AM Quentin Anciaux <[email protected]> wrote:

> Le lun. 17 févr. 2025, 23:13, Bruce Kellett <[email protected]> a
> écrit :
>
>> On Tue, Feb 18, 2025 at 9:01 AM Quentin Anciaux <[email protected]>
>> wrote:
>>
>>>
>>> Sure, but saying “some things happen and others don’t” is just labeling
>>> an outcome, not explaining why probability follows the Born rule. If you
>>> take that as fundamental, fine, but that’s just postulating rather than
>>> deriving it.
>>>
>>> MWI doesn’t deny probability; it just reframes the question. The
>>> challenge isn’t that “everything happens,” it’s understanding why observers
>>> experience frequencies matching the Born rule. That’s what self-locating
>>> uncertainty and measure attempts to address.
>>>
>>
>> Self-locating uncertainty is just the question "Why am I on this branch
>> and not the other". I don't see that that question is any different from
>> the characterization of probability as "some things happen and others
>> don't". Self-locating uncertainty is just "Some branches matter to me and
>> others don't". No different.
>>
>> Bruce
>>
>
> Self-locating uncertainty isn't about some branches mattering more, it’s
> about explaining why an observer, pre-measurement, should expect to
> experience one outcome over another in the correct proportions
>

No different.

The difference is that self-locating uncertainty applies before the
> measurement, not just as a retrospective description of what happened. In
> standard probability, uncertainty reflects an observer's ignorance of an
> outcome before it is known. In MWI, all outcomes exist, but the observer
> still doesn’t know which branch they will find themselves in, hence,
> self-locating uncertainty.
>

Rubbish. If you say that the probability of horse X winning the race is p,
then the race hasn't yet been run. So you are just talking nonsense.

Bruce

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