There are a number of algorithms to infer causal regulatory networks from time series (gene expression) data. Here we analyse the phenomena of regulator interference, where regulators with similar dynamics mutually suppress both the probability of regulating a target and the associated link strength, for instance, interference between two identical strong regulators reduces link probabilities by xe2x88xbc50%.