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With reference to a previous work, the problem of the experimental detectionof non-causal synordination patterns between two series of physical events isexamined. It is necessary that the patterns in question act in a reproducible,or at least regular, manner, so that they can be identified by means ofstatistical analysis; action on individual occasional facts cannot be provedstatistically, though it is hypothetically possible. As established in theprevious work, the first series must be constituted by microevents (Penrose Rprocesses), that can be amplified at the macroscopic level so that they aretranslated at this level into a choice between alternatives. The obtainedresult defines (by means of a structural constraint which is not, however, acausal link) the choice between execution or non-execution of certain actionson a macroscopic system S, without any feedback on the microevents source. Asuccession of macroevents is thus generated, which makes up the second series.Statistics of the events belonging to the second series is thus completelydefined by the probability distribution of the first series of events. In theabsence of a synordination, this is the a priori probability distribution,which can be measured by removing the constraint between the two series. Ifthere is synordination, the probability distribution of the two sets of eventswill deviate in a measurable manner from the expected trend once the constraintis activated.

On the Possible Experimental Detection of Non-Causal Synordination Patterns of Physical Events