Hi. A while ago, I apparently had a wrong idea about the meaning of realism. I stood corrected: I'm still struggling with those subtleties. Would following formulation be more appropriate: "Realism means, that every observable ##x## is attributed a probability distribution ##p_P(x)## that might depend on a set of parameters ##P## such as the settings of the measurement device (e.g. polarizer angle). Local realism means, that only parameter set in the measurement's past light cone can affect this probability distribution." Also, I don't quite see why "predetermined" is necessarily wrong. Doesn't the Bayesian interpretation of probability basically say that probability emerges as a lack of knowledge? What's the difference between a predetermined measurement outcome that's just unknown and an observable that exists as a probability distribution until a measurement projects it onto one specific outcome? Or do we need "not predetermined" here to allow for the experimentator to have free will when setting the measurement parameters?