Inference of direction of coupling, or causality, as we can say when we consider two, possibly coupled systems, is
a complex and complicated task. In this paper we discuss some problems encountered in inference of causality
from bivariate time series and propose ways to cope with them in order to perform tests with high sensitivity
and low rate of false positive results.