On Sat, May 1, 2010 at 4:08 PM, Brent Meeker <[email protected]> wrote:
>
> Seems like a good answer to me.  Suppose there were infinitely many rolls of
> a die (which frequentist statisticians assume all the time).  The fact that
> the number of "1"s would be countably infinite and the number of "not-1"s
> would be countably infinite would change the fact that the "not-1"s are five
> times more probable.

So let's say that we have an infinitely long array of identically
sized squares.  Inside each square a single number is written, from 1
to 6.

First let's say that the numbered squares just repeat:  1, 2, 3, 4, 5,
6, 1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6...over and over, infinitely many
times.

Now, we randomly throw a dart at this infinitely long row of squares.
Should we expect to hit a 1, or not-1?  Not-1, right?  Because we have
extra information about the internal structure of the infinitely long
row.  The dart has to hit in some finite space, and the layout of the
numbers in the squares for any given finite space is known.  So the
probability of hitting a "1" is "1 in 6".

NOW.

Let's say the ordering of the numbers in the squares is completely
random.  We've lost information here.  When we throw the dart at the
row, we have no idea what numbers will be in the randomly selected
finite area we aim towards.

In an infinite sequence, any given finite sequence will appear
infinitely often...so there are stretches as large as you want to
specify that contain only 1s or only not-1s.

Further more, as you say, the 1's and not-1's can be put into a
one-to-one correspondence...both sets are countably infinite.  There
are as many "1's" as "not-1's".  And there are as many 2's as
"not-2's" and so on.

So, we lost a lot of information there when we abandoned the strictly
repeating structure.  Before we lost that information, we could safely
say that the probability of hitting a 1 was "1 in 6"...but after
losing that information surely we can't say anything at all about the
probability of hitting a "1" with our dart.

"Whereas the interpretation of quantum mechanics has only been
puzzling us for ∼75 years, the interpretation of probability has been
doing so for more than 300 years [16, 17]. Poincare [18] (p. 186)
described probability as "an obscure instinct". In the century that
has elapsed since then philosophers have worked hard to lessen the
obscurity. However, the result has not been to arrive at any
consensus. Instead, we have a number of competing schools (for an
overview see Gillies [19], von Plato [20], Sklar [21, 22] and Guttman
[23])." (http://arxiv.org/PS_cache/quant-ph/pdf/0402/0402015v1.pdf)

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