JesseM
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Because a sum of probabilities conditioned on λ can be equal to a probability that isn't conditioned on λ. That's essentially what's meant by "marginalization" according to wikipedia--you agree that if some variable B can take two values B1 and B2, then marginalization says P(A) = P(A, B1) + P(A, B2) right? Well, by the definition of conditional probability, P(A, B1) = P(A|B1)*P(B1), and likewise for B2, so the marginalization equation reduces to P(A) = P(A|B1)*P(B1) + P(A|B2)*P(B2). Here, the left side is not conditioned on B, while the right side is a sum of terms conditioned on every possible specific value of B.billschnieder said:Bell's equation (2) is an equation, which means the LHS is equal to the RHS, how can one side of an equation be conditioned on λ when the other is not?
Sure, and the integral represents the idea that you are summing over every possible specific value of λ, just as in my simpler equation above.billschnieder said:Don't you mean the term under the integral sign is conditioned on a specific λ?
I remember our previous discussion, which consisted of you making a big deal out of a mere semantic quibble. I already explained in posts like this one and this one (towards the end of each) that what I mean when I say "conditioned on λ" is just "conditioned on each specific value of λ", so construing me as saying anything else would suggest you either forgot the entire previous discussion, or that you are using a semantic quibble as an excuse for a strawman argument about what I actually mean. And as far as semantics go, in those posts I also pointed you to section 13.1 of this book which is titled "conditioning on a random variable"--do you think the book is using terminology incorrectly?billschnieder said:We have discussed this before and apparently you did not get anything out of it. Each λ on the RHS represents a specific value, so you can not say the LHS is conditioned on λ.
Yes, and when I talk about conditioning on λ I just mean conditioning on each specific value of λ, as you should already know if you'd been paying attention. If you understand what I mean but don't like my terminology, tough, I think it's correct and I've given a reference to support my use of terminology, you'll have to point me to an actual reference rather than just assert your authority if you want to convince me to change it.billschnieder said:Each term under the integral is dependent on a specific value of λ, not the vague concept of λ as we have already discussed at length.
Conditional probabilities in the integral on the right side of the equation, a marginal probability on the left.billschnieder said:Your responses so far are now:
1: Bell's equation(2) expresses a [strike]conditional[/strike] marginal probability
Allowed for the term on the left side of the equation.billschnieder said:2: Logical dependence between A and B is [strike]not[/strike] allowed in the probability expressed in Bells equation (2)
Yes.billschnieder said:2b: Logical dependence between A and B is not allowed for the probability dependent on a specific λ under the integral on the RHS of Bell's equation (2)
Well, now you're quibbling again, the main idea being discussed with ThomasT was the idea that there could be a dependence between A and B when not conditioned on the hidden variables which disappeared when they were conditioned on the hidden variables. It's true that you can interpret the left side as a conditional probability conditioned on a and b, but the only point relevant to the argument is whether it's conditioned on the hidden variables. And Bell doesn't clearly use the conditional probability notation in (2), so you could think of the a and b that appear in the equation as just denoting the idea that we are considering a sample space which consists only of trials where the detectors were set to a and b, in which case A would be defined as a variable that represents the measurement outcome with detector setting a and B is a variable that represents the measurement outcome with detector setting b. So under this interpretation the left side is really a marginal probability...it just depends how you interpret the equation, and in any case the choice of interpretation is irrelevant to the actual discussion with ThomasT. So, if you try to do a "gotcha" based on the fact that I said the left side was a marginal probability as it's not conditioned on λ, which you say is wrong because it is conditioned on a and b, I'll consider you to be playing pointless one-upmanship games again. It's irrelevant to the actual argument whether or not the left side is conditioned on variables other than λ, the argument is just about how A and B are statistically independent when conditioned on λ but statistically dependent when not. It simplifies the discussion to call the "when not" case the marginal correlation between A and B, and as I said you're free to interpret the left side of the equation so that it is a marginal probability and a and b merely tell us which settings are to be considered in the sample space.billschnieder said:Does this reflect your view accurately? Are you sure Bell's equation (2) is not a conditional probability, conditioned on the pair of detector settings a and b?