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mn4j
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Yes. This makes sense provided your sampling is unbiased. However, this point is irrelevant here. We are not arguing about how Bell calculated P(X|Z), we are arguing about how he calculated P(XY|Z) to be P(X|Z)*P(Y|Z) for a single experiment.JesseM said:As I already explained, the probability of X on a single experiment is always guaranteed to be equal to the fraction of trials on which X occurred in a large number (approaching infinity) of repeats of the experiment with the same conditions
Again, when you write P(XY|Z)=P(X|Z)*P(Y|Z), Z is not considered as an outcome, but as a premise. That means Z is assumed to be true. So it is just confusion to be talking about trials in which Z occurred or did not occur. That is why I suspect you understand the meanings of those equations differently than they mean in Probability theory.It comes from the fact that if you only look at the trials where Z occurred and throw out all the trials where it did not, then in that set of trials X is independent of Y.
P(AB|Z) means: Given that Z is true, what is the probability that both A and B are True.
Let's look at the Bell's specific case.
Z: Two spin 1/2 particles denoted by 1 and 2 were jointly in a pure singlet state in the past, with 1 moving toward station A, and 2 moving toward station B , but they remain jointly in a pure singlet state, in which their spins are perfectly anti-correlated.
A: spin of particle 1 is found in the up direction at station A
B: spin of particle 2 is found in the up direction at station B
Therefore P(AB|Z) means: What is the probability that both particle 1 and particle 2 are found in the up direction given Z.
The second term in P(AB|Z)=P(A|BZ)*P(B|Z), ie P(A|BZ), means that if we know for sure that B is true, ie that that spin at station 2 is found to be 'up', then that INFORMATION should influence the probability we assign to A. Do you disagree with this?
Now to the answer of your question:
Z: Three balls D, E, F; D has 0.7 chance of lighting up red when button pushed, E has 0.9 chance, F has 0.25 chance. D given to Alice and E given to Bob, and button is pressed.
A: Alice sees red
B: Bob sees red
P(AB|Z) = P(A|BZ)P(B|Z) according to the product rule.
P(A|BZ) = P(A|Z) since knowing that Bob saw red, does not tell me anything about what Alice might see. In other words,
A and B are logically independent.
Therefore P(AB|Z) = P(A|Z)P(B|Z) and the answer is 0.7 * 0.9 = 0.63
As you see, I am using the product rule consistently here.
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