 The causal model in terms of processes was compared to a telephone network which exhibits the lines of communications and the connections, but does not convey any information about the messages that are sent. In order to identify the properties pertinent to given outcomes one needs information on statistical relevance relations; the procedure of singling out such properties results from an interplay between causal and statistical relevance information. On the one hand, a network of causal processes and interactions serves to exclude irrelevant factors which are not there at the considered place and time; on the other, the network has to be filled with statistical relevance relations linking the properties present.