On 2/10/2025 2:45 PM, Quentin Anciaux wrote:
Your argument suggests that since measure is not directly observable,
it cannot influence what we experience. But this is incorrect for the
same reason that probability distributions matter in classical systems:
You cannot observe probability itself, only its consequences over many
trials.
Which is why in classical probability it is important that things happen
or don't happen. It you assumed everything happened then you would have
the same problem MWI has, and you would have to adopt somethiing like
the Born rule to explain what "probability" means.
In a biased coin flip (90% heads, 10% tails), every sequence of flips
exists in MWI.
But most copies of an observer will find themselves in sequences where
heads appear 90% of the time.
The fact that all sequences exist does not mean they contribute
equally to an observer’s experience.
But what does explain their contributions?...the Born rule, which
doesn't not comport with all possibilities occur.
Brent
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