Burgess et al (2021) investigate the performance of additive null models in a meta-analysis of freshwater research with varying levels of data uncertainty and observation error. A better understanding of these statistical tools is useful in understanding the outcomes of multiple environmental stressors and predicting the occurrence of “ecological surprises”.