> On 8 Feb 2020, at 07:39, 'Brent Meeker' via Everything List 
> <[email protected]> wrote:
> 
> 
> 
> On 2/7/2020 9:54 PM, Bruce Kellett wrote:
>> On Sat, Feb 8, 2020 at 4:41 PM 'Brent Meeker' via Everything List 
>> <[email protected] <mailto:[email protected]>> 
>> wrote:
>> 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.
>> 
>> 
>> In other words, you use the data to infer probabilities. But the same data 
>> occur whatever the probabilities, so your backward inference to the 
>> probabilities is meaningless.
>>> 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.
> 
> It means they occur with high probability given enough instances of the 
> experiment.  So I don't see why you attach great significance to all 
> possibilities occurring in MWI.
> 
>> 
>> What on earth does that mean?
>> 
>> If the probability is very low, then the improbable sequences of results 
>> need not occur even if you repeat the experiment 'till the heat death of the 
>> universe. In MWI the low weight sequences necessarily occur in every run of 
>> the experiments. Do you not see the difference?
> 
> But the improbable sequences will occur in the same proportion in both 
> scenarios.

Exactly.



> 
>> 
>>   Otherwise it wouldn't be a stochastic model.  So it seems that all you 
>> objections to MWI apply equally.
>> 
>> 
>> Get a grip, Brent.
>> 
>>>   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.
>> 
>> That is a one-world theory. And I agree that that is the way to go.
>> 
>>> 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.
>> 
>> Why? One does not choose one's results at random from the set of all 
>> possible results.
> 
> The theory is that which experience "you" have is determined by making a copy 
> of you for each result and one of them, at random, is the "you" who has the 
> experience.  So it is effectively a random sample from the possible results.  

That’s the point.


> 
>> In MWI there is always an observer who gets every possible set of results. 
>> Why ignore those unfortunates who get rest inconsistent with your pet theory?
> 
> Because they are relatively few in number and hence unlikely to be the "you" 
> who gets the result.
> 
>> 
>>   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.
>> 
>> The point is that MWI is inconsistent with experience. There will always be 
>> observers who get results inconsistent with the Born rule.
> 
> Why do you think you can't get a result inconsistent with the Born rule in 
> one world.  What do you mean by "inconsistent".  The results are 
> probabilistic so they will have degrees of consistency and inconsistency with 
> the Born rule...just as there is a spread of results in MWI.
> 
>> And we cannot ensure that we are not such observers. So how can we claim 
>> that our theory is confirmed by the data? The data are consistent with all 
>> possible theories -- or none at all.
> 
> But it's not all or nothing.  It's statistics.

OK.


Bruno




> 
> Brent
> 
>> 
>> Bruce
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