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gill1109 said:I know. As a mathematician I can tell you that this is quite bogus. Does not prove what it seems to prove. (It's not for nothing that no-one has ever followed this up).
Pitowsky has done a lot of great things! But this one was a dud, IMHO.
Here's a version of Bell's theorem which *only* uses finite discrete probability and elementary logic http://arxiv.org/abs/1207.5103. Moreover it is stronger than the conventional result since it is a "finite N" result: a probability inequality for the observed correlations after N trials. The assumptions are slightly different from the usual ones: I put probability into the selection of settings, not into the particles.
To follow up a little bit, I feel that there is still a bit of an unsolved mystery about Pitowsky's model. I agree that his model can't be the way things REALLY work, but I would like to understand what goes wrong if we imagined that it was the way things really work. Imagine that in an EPR-type experiment, there was such a spin-1/2 function F associated with the electron (and the positron) such that a subsequent measurement of spin in direction \vec{x} always gave the answer F(\vec{x}). We perform a series of measurements and compile statistics. What breaks down?
On the one hand, we could compute the relative probability that F(\vec{a}) = F(\vec{b}) and we conclude that it should be given by cos^2(\theta/2) (because F) was constructed to make that true). On the other hand, we can always find other directions \vec{a'} and \vec{b'} such that the statistical correlations don't match the predictions of QM (because your finite version of Bell's inequality shows that it is impossible to match the predictions of QM for every direction at the same time).
So what that means is that for any run of experiments, there will be some statistics that don't come close to matching the theoretical probability. I think this is a fundamental problem with relating non-measurable sets to experiment. The assumption that relative frequencies are related (in a limiting sense) to theoretical probabilities can't possibly hold when there are non-measurable sets involved.