lugita15 said:
I'm having a hard time understanding this.
I'm just wondering how the rate of individual detection and the rate of coincidental detection can be attributed to the same underlying parameter.
lugita15 said:
Do you or do you not agree in my idealized setup, the mismatches are just mismatches of individual detection results.
Yes, I agree. The language surrounding all this can get confusing. But I know what you're saying.
lugita15 said:
And that if the individual detection results are the same, then the mismatches are the same?
I'm not sure what you mean by this.
lugita15 said:
If you have a bunch of data in an excel spreadsheet, then the value of any function calculated from this data is entirely determined by the data. I don't know how you can reasonably disagree with this.
I don't disagree with it. But the individual detection sequences, considered separately, are different data than the sequences, appropriately combined, considered together. The two different data sets are correlated with different measurement parameters. The setting of polarizer
a or
b is not the same observational context as the angular difference between
a and
b.
lugita15 said:
You have the uncanny ability of focusing on steps I consider trivial. To my mind, step 5 is a completely obvious consequence of step 4. I am just applying the definition of R, which is that the probability that P(θ1)≠P(θ2) is equal to R(θ1-θ2). How can you disagree with that definition?
Your notation is a bit confusing for me. Say in words what you mean by the above notations.
lugita15 said:
But the result of any analysis, matching, or pairing of the data is surely determined BY the data, is it not?
Ultimately, yes. But the organization of the data, how it's parsed or matched, and what it's correlated with is determined by the experimental design. Individual data sequences composed of 0's and 1's aren't the same as combined data sequences composed of (1,1)'s, (0,0)'s, (1,0)'s, and (0,1)'s.
lugita15 said:
And thus the parameters or hidden variables that determine the data must determine anything that is derived from the data, right?
The individual data sequences, considered separately, are correlated with the settings of the individual polarizers, considered separately.
The combined data sequences are correlated with the angular difference between the individual polarizer settings.
In most (or at least many) LR accounts, the underlying parameter determining individual detection is assumed to be the polarization vector of polarizer-incident photons.
From the assumption of common cause, and the results when polarizers are aligned, it's assumed that this polarization vector is the same for both polarizer-incident photons of an entangled pair.
But here's the problem, the rate of coincidental detection varies
only as θ, the angular difference between
a and
b, varies. (That is, wrt any particular θ, the common underlying polarization vector can be anything, and the rate of coincidental detection will remain the same. But if θ is changed, then the rate of coincidental detection changes as cos
2θ, which, afaik, and not unimportantly, is how light would be expected to behave.)
So, it seems to me, θ must be measuring something other than the polarization vector of the polarizer-incident photons.
And it has to be something that, unlike the underlying polarization vector, isn't varying randomly from entangled pair to entangled pair.
So, I reason, θ is measuring a
relationship between photons of an entangled pair -- a relationship which, wrt any particular Bell test, doesn't vary from pair to pair, and which Bell tests are designed to produce ... locally.