In this note, I analyse the code and the data generated by M. Fodje's simulation programs (written in Python, published in 2013 on Github) epr-simple and epr-clocked using appropriate modified Bell-CHSH type inequalities: the Larsson detection-loophole adjusted CHSH, and the Larsson-Gill coincidence-loophole adjusted CHSH. The experimental efficiencies turn out to be approximately eta = 81% and gamma = 55% respectively, and the observed value of CHSH is (of course) well within the adjusted bounds. Fodjes' detection loophole model turns out to be very, very close to Pearle's famous 1970 model, so the efficiency is very close to optimal, but the model shares the same defect as Pearle's - the joint detection rates exhibit signalling. His coincidence-loophole model is actually a clever modification of his detection-loophole model, and the trick he uses is actually rather simple. But it does not lead to the optimal efficiency. Note: this is version 5 of a paper originally written in 2014. I recently submitted version 4 to the journal "Entropy" where it got rejected, rightly so. It has the status of "lab notes", a documentation of one or two experiments whose results are interesting but not worth publishing on their own. I will extract the few jewels in this work later and use them in a more ambitious paper about the results of the bigger research project of which these experiments were a small part.