Thank you again, Mr. Moldoveanu. This is the first ever constructive contribution you have made as far as I can remember.
You have just demonstrated that the correct line of code to capture the 3-sphere topology of my analytical model is: out = p < abs(C) and numpy.sign(C) or 0.0 # if |C| > p then particle is detected by sign(C) channel. If this line of code is replaced by any incorrect line of code representing the topology of a real line, then the resulting correlation cannot be as strong as those between the points of a parallelized 3-sphere.
Let me also remind you once again that, fair or unfair, no one is doing a "sampling" of any kind in Michel's simulation. The property p, or equivalently the parameter t, is part of the hidden variable set. It is a part of lambda. It is randomly chosen by Nature in each run of the experiment, just like the other hidden variable e. The correct line of code from Michel's simulation you have just quoted is thus implementing the correct topological structure of the parallelized 3-sphere.
I hope I do not have to teach you that any simulation code by itself has no meaning without knowing what it is that is being simulated, or demonstrated. In the case of my local model what is being simulated is the correlation between the points of a parallelized 3-sphere. Unless one understands the meaning of the words "parallelized 3-sphere" (and you have amply demonstrated that you don't), there is no hope of understanding either my analytical model, or any simulation that confirms its validity.Attachment #1: 22_whither.pdf