On Fri, Feb 21, 2020 at 9:30 PM Bruno Marchal <[email protected]> wrote:

> On 21 Feb 2020, at 04:40, Bruce Kellett <[email protected]> wrote:
>
> From: Brent Meeker <[email protected]>
>
> Of course that's true.  But the more relevant value is the fraction of
> sequences with the proportion of 1s within some narrow range of 0.5.  For
> large N, the distribution is Gaussian with std deviation ~sqrt(N) so almost
> equal numbers of 1s and 0s do predominate.
>
>
> I was aware of that, but they only dominate in a narrow range when p =
> 0.5. My thinking was that since the confidence interval around the
> estimated probability shrinks as 1/sqrt(N) for large N, outside a small
> range of small deviations from equal numbers of zeros and ones, the
> confidence interval on the probability estimates would no longer capture p
> = 0.5. Also, looking at numbers of zeros within +- a small number of N/2
> would give results for the asymptotic proportion similar to those for N/2
> zeros. Since my calculation systematically ignores factors of the order of
> one, I doubt that including such bit strings with close to equal numbers of
> zeros and ones would make any significant difference to the conclusion that
> such strings do not dominate in the limit. In other words, I think my
> conclusion that the majority of the 2^N observers would not estimate
> probabilities close to 0.5 is secure. (Ignoring factors of order one in the
> calculation!)
>
>
> But that argument would work for coin tossing too. That eliminate
> basically all probabilistic inference, it seems to me. A dwarf and a giant
> would not accept the Gaussian distribution of height.
>


You still don't get it, do you? The argument applies to all possible bit
strings of length N. You do not get that from coin tosses in a single
world. It is only when you claim that all possible results exist in
separate branching worlds that the problem arises. So it is a problem for
your WM-duplication, and for Everett. But not for single world theories.
Statistical inference is perfectly intact as it is used in this world.

Bruce

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