

), and on the other one two
other types (
). The results
are binary, so they will be denoted by “
" and “
". We will repeat these
measurements to ensure statistically relevant results. Correlations appear when measurements give the same outcome, that is, “
” and “
”.
The basic result is that in almost all cases, more “
” and “
”
(and less “
” and “
”) coincidences are recorded than one can explain
by any local classical analysis. 
be the probability
that, by taking the measure
on the first system, the outcome will be
;
is the probability that by taking the measure
on the first system and the
measure
on the second,
the outcome of the first system alone
will be
;
is the probability
that by taking the measure
on the first
system and measure
on the
second system, the outcomes will be respectively,
and
; finally,
is the probability that when taking the measures
on the first system and
on the second one, and having
outcome
on the second,
the outcome of the first will be
. 
If the outcomes of the experiments on both systems
are independent, that is ![]()
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for
and
for
, and similarly for
. Further on, let us notice
that the elementary operations with probabilities can be reformulated as
logical operations, namely, conjunction
will correspond to product, disjunction
to sum, and implication
to
. 
If the conjunction is distributive with respect
to disjunction for all propositions , that is, ![]()
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The failure
of independence affects Reichenbach’s [116] causality principle:
two correlated (non independent) events have a common cause, that there exists
an event in their “past" with respect to which they are independent. So,
we arrive at the idea of synchronicity
that has important implication for
quantum computing:
there exist events which are correlated in a way
which is neither casual nor causal. ![]() |

Quantum mechanics has chosen to drop separability.