John Cox has an elegant way of bringing the issues in line with everyday experience.
Having devoted part of my misspent youth to the pool table, John's reference to the relation between shooting pool and moment-to-moment instinct got me thinking about Hess-Philipp's timelike correlated parameters (TLCPs) .
Because initial condition changes with time, moment-to-moment action (event by event in QM simulation terms) avoids action at a distance " ... by letting the probability measure be a superposition of setting-dependent subspace product measures with two important properties: (i) the factors of the product measure depend only on parameters of the station that they describe, and (ii) the joint density of the pairs of setting-dependent parameters in the two stations is uniform."
The multiple time scales of a pool game range from the interval of contact of hand with cue, cue with cue ball, cue ball with object ball, ball with rail, etc. These are well understood causal events whose outcomes are all dependent on initial condition and energy content in the specified interval.
Gill, et al, criticism of Hess-Philipp completely avoids the causal framework -- they claim, " ... "(Hess-Philipp) forgot one of three subscripts somewhere deep in the computations and failed to normalise a measure to be a probability measure" -- which is completely irrelevant to the point made by H-P above (and well supported by the mathematics of the paper). Normalization of probability density in a time dependent causal relation is independent of energy density and initial condition. Hess-Philipp show that initial energy condition determines joint probability -- while Gill et al avow that (" ... because of Bell's theorem" as Gill claims) probability is prior to measurement. The measurement protocol of Bell-Aspect merely demonstrates its own prior conclusion.
While Gill et al are completely off the mark in convincing themselves that they have refuted Hess-Philipp -- the science of complex systems, in line with Bar-Yam's theory of multi-scale variety, supports timelike correlated parameters at multiple scales: http://home.comcast.net/~thomasray1209/ICCS2007PP.ppt
Tom