zonde said:
But let's look at this definition:
"If, without in any way disturbing a system, we can predict with certainty (i.e., with probability equal to unity) the value of a physical quantity, then there exists an element of physical reality corresponding to this physical quantity."
In bold there is condition when we can speak about element of physical reality.
Yes, I see what you mean. But if we take this litterality, and with "predict with certainty" imply something that inerrable (* otherwise it's IMHO meaningless statement from a rational perspective), then it's clear already here that there exists no physical reality at all.
Because what I think most people do have in mind, is not actually a proper prediction, it's just a DESCRIPTION (of say en ensemble).
This difference in perspective is important for me. It's the difference between descriptive and decision theoretic views.
The big difference is understanding and acknowleding the difference between and EXPECTED outcome, and a DEDUCTIVELY "predicted" outcome.
Real expectations (I'm not talking about descriptions of an ensemble) are never certain. Testing them is nothing by a game we can chose to play. It's a learning process.
This fact is completely ignored by people who insist on the descriptive view.
zonde said:
In bold there is condition when we can speak about element of physical reality. And the point that a lot of people are missing is that it's a claim of QM that we can predict with certainty values of two non-commuting observables.
IMHO, all that QM actually does is to produce a rational expectation of the future. It does not deductively PREDICT the future; because there are a lot of implict ASSUMPTIONS that are not certainly known. Such as we have closed system etc. There is no way these things are known in reality.
No real inference can produce 100% confidence, except in the subjective sense, but then that is just teh same as the "rational expectation", that it we count evidence to our limits, when ALLL *available* evidence supports A; then we act AS IF A is 100% correct. But this doesn't mean it is, all it means IMHO is that it's rational to ACT as if it is. I see the distinction as important here.
The statistical view, represents a "LIMIT" of the decision theoretic view, where the decision problems pretty much becomes DESCRIPTIVE, and the expectations are 100% confident beeing based on infinite ensembles. But this limit is (in my view) never reachable in nature, because of informaion capacity constraint of a given system. And this fact makes a differece to the action of these systems.
zonde said:
So if we assume that we can predict one of the two observables only approximately (i.e. it's contextual) then EPR paradox in that form does not hold any more.
I guess I can agree with this.
Perhaps we agree, I just wanted to expand about the difference. The real question is; are we here to describe nature in the statistical sense; which MEANS simply describing our acquired information (which NOTE, really means we described our own information anyway! and this is never complete or settled) or are we have to act based upon expectations of nature? Then science is supposed to give us the answer to what RATIONAL expectations are.
But a rational expectation can be "wrong", yet correctly formed! This is a large different from the purely descriptive view of science. IE. sometimes you make "correct decisions" in the sense of rational, but they turn out destructive. But I think this is how nature works too. An atom responds to it's environment, and fields not due to what is true or false, but it rather just rationally (but randomly) responds to any perturbation.
This is the process I think we should understand in foundations of QM.
(*) I know some people do drop the inferrability constraint, but then, this is exactly where you subscrive to structural realism. This is not a logical implication! It's an IMO (maybe rational EXPECTATION) but certainly not a valid deduction.
/Fredrik