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    In such models, the probability of a distant measurement ... — Carmelics
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    Supports→Parameter dependence is a necessary and sufficient condition for controllable probabilistic dependence in models where measurement outcome probabilities depend only on the pair's state and apparatus settings

    In such models, the probability of a distant measurement outcome depends only on the pair's state λ and the settings of the measurement apparatuses

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    In any empirically adequate model of the EPR/B experiment where the pa...77%In some models of the EPR/B experiment, local physical quantities othe...77%A change in the distribution of states λ would induce a change in the ...77%Some other physical quantities in the nearby wing may be relevant for ...76%

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    Four comments: (i) In controllable probabilistic dependence, the term 'probabilities of measurement outcomes' refers to the model probabilities, i.e., the probabilities that the states λ prescribe for measurement outcomes. (ii) Our discussion in this entry focuses on models of the EPR/B experiment in which probabilities of measurement outcomes depend only on the pair's state λ and the settings of the measurement apparatuses to measure certain properties. In such models, parameter dependence

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