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This is my view of collapse:stevendaryl said:I don't know in what sense you are rejecting collapse
The collapse is a sudden change of the model used by an observer to reinterpret the situation when new information comes in, hence depends on when and whether the observer cares to take notice of a physical fact. This clearly cannot affect other observers and their models of the physical situation. Hence there is no nonlocal effect. Nonlocal correlations appear only when a single observer compares records of other (distant) observer's measurements. At that time the past light cone of this observer contains all the previously nonlocal information, so that locality is again not violated.
As one can see from the wording in terms of subjective information, it applies to modeling a large sample of equally prepared systems when the model is loosely interpreted to apply to a single of these. Although this interpretation is strictly speaking forbidden (in the sense that objective probabilities for single events do not exist), it is informally meaningful in a Bayesian subjective probability interpretation.