  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 (i.e., the dependence of the probability of the distant measurement outcome on the setting of the nearby measurement apparatus) is a necessary and sufficient condition for controllable probabilistic dependence. But, recall (footnote 3) that in some models of the EPR/B experiment, in addition to the pair's state and the setting of the L- (R-) measurement apparatus there are other local physical quantities that may be relevant for the probability of the L- (R-) measurement outcome. In such models, parameter dependence is not a necessary condition for controllable probabilistic dependence. Some other physical quantities in the nearby wing may be relevant for the probability of the distant measurement outcome. (That is, let α and β denote all the relevant local physical quantities, other than the settings of the measurement apparatuses, that may be relevant for the probability of the L- and the R-outcome, respectively. Then, controllable probabilistic dependence would obtain if for some pairs' states λ, L-setting l, R-setting r and local physical quantities α and β, Pλ l r α β(yr) ≠ Pλ l r β(yr) obtained.) For the relevance of such models to the question of the in-principle possibility of superluminal signalling in some current interpretations of quantum mechanics, see sections 7.3 and 7.4.      (iii) The quantum-equilibrium distribution will not be the same in all models of the EPR/B experiment; for in general the states λ will not be the same in different models.      (iv) In models that actually violate both controllable probabilistic dependence and λ-distribution, the occurrence of controllable probabilistic dependence would render the actual distribution of λ states as non-equilbrium distribution. Thus, if controllable probabilistic dependence occurred in such models, the actual distribution of λ states would satisfy λ-distribution. 