On 2/7/2020 8:14 PM, Bruce Kellett wrote:
On Sat, Feb 8, 2020 at 1:26 PM 'Brent Meeker' via Everything List
<[email protected]
<mailto:[email protected]>> wrote:
On 2/7/2020 5:57 PM, Bruce Kellett wrote:
There is nothing that picks out one particular set of paths as
preferred in the many-worlds situation.
Sure you can. For example you can pick out the set of paths whose
statistics are within some bounds of the mean.
Assuming you know what the 'mean' is absent any experiment.
The mean is estimated by the average of the experimental values.
Otherwise you are just cherry picking data to support your arbitrary
theory.
One can only get that in a stochastic one-world model.
All paths occur in a stochastic one-world model too.
No they don't. They are possible, perhaps, but they do not necessarily
occur.
They don't /necessarily/ occur. But they probabilistic occur.
Otherwise it wouldn't be a stochastic model. So it seems that all you
objections to MWI apply equally.
The only difference is that some probability measure is assumed
as part of the model.
And this gives one a principled reason for ignoring the paths that are
not observed.
Why not ignore them because they are not observed? That's a principled
reason.
Low probability has an independent meaning in the one-world case, so
one is unlikely to observe a low probability set of results.
One is unlikely to observe a result that is realized in only a small
fraction of the MW branches. I agree that MWI fails to derive the Born
rule. But I don't agree that it is inconsistent with it, given the
version of MWI that postulates many branches...not just one per possible
outcome.
Brent
Not impossible, but of low probability, where that means 'unlikely'.
No comparable concept of probability is available in Many-worlds.
Bruce
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