2015-09-08 18:17 GMT+02:00 Brent Meeker <[email protected]>:

>
>
> On 9/7/2015 10:56 PM, Stathis Papaioannou wrote:
>
>
>
> On 8 September 2015 at 09:19, Brent Meeker <[email protected]> wrote:
>
>>
>>
>> On 9/7/2015 3:11 PM, Stathis Papaioannou wrote:
>>
>>
>>
>> On Tuesday, September 8, 2015, Brent Meeker < <[email protected]>
>> [email protected]> wrote:
>>
>>>
>>>
>>> On 9/6/2015 10:49 PM, Stathis Papaioannou wrote:
>>>
>>>
>>>
>>> On Monday, September 7, 2015, Brent Meeker <[email protected]> wrote:
>>>
>>>>
>>>>
>>>> On 9/6/2015 7:20 PM, Jason Resch wrote:
>>>>
>>>>
>>>>
>>>> On Sun, Sep 6, 2015 at 8:23 PM, Brent Meeker < <[email protected]>
>>>> [email protected]> wrote:
>>>>
>>>>> $2, because you can just say "Monday" each time you're asked.  It has
>>>>> nothing to do with probabilities.  It's a good analogue of the MWI 
>>>>> problem;
>>>>> when everything is deterministic and everything happens there's no
>>>>> objective measure.
>>>>>
>>>>
>>>> There are many "interpretations" of prboability:
>>>> <https://en.wikipedia.org/wiki/Probability_interpretations>
>>>> https://en.wikipedia.org/wiki/Probability_interpretations
>>>>
>>>> I think the thought experiment I describe is an example of probability
>>>> under the "frequentist" definition.
>>>>
>>>>
>>>> No, there's no randomness in it.  There's no distribution to
>>>> approximate in repeated trials.
>>>>
>>>
>>> It's the same kind of randomness that emerges from multiverse theories.
>>>
>>>
>>> Right, a kind which doesn't (in most models) have a probability
>>> interpretation because there's no clear measure.
>>>
>>> You presumably estimate probabilities in everyday life, and generally
>>> it serves you well.
>>>
>>>
>>> Sure,  I make subjective estimates by hypothesizing some ensemble of
>>> possibilities with a measure on it - but I don't infer from this that all
>>> those hypotheticals really happen or that the probability I come up with is
>>> an objective fact about the world.
>>>
>>
>> But can you infer something about the nature of the world from the fact
>> that probabilities seem to be useful?
>>
>>
>> Sure, I infer that my hypothetical measure, or the model I used to to
>> generate it, may have to some grain of truth, some generality beyond the
>> special case.
>>
>
> Would you also say that given a probability cannot be assigned to a coin
> toss if the world splits and both heads and tails occur in parallel worlds,
> and given that probabilities are actually useful with coin tosses, this is
> evidence that we don't live in a world where all coin toss outcomes are
> realised?
>
>
> Is our failure to experience the parallel worlds evidence they don't
> exist?  No.  So it's not evidence either way.
>

So why insisting you cannot assign probabilities in one case ? if the fact
of doing it or not is not evidence for or against... either it works, and
it's useful.

>
>
> Brent
>
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