Variability leads to overestimation of mean summaries

Research on ensemble perception has shown that people can extract both mean and variance information, but much less is understand how these two different types of summaries interact with one another. Some research argued are more erroneous in extracting the displays have greater variability. In all three experiments, we manipulated variability displays. Participants reported size a set circles (Experiment 1) length horizontally placed 2a) randomly oriented lines 2b). found estimations were for higher than smaller More critically, there was tendency to overestimate mean, driven by task-relevant task-irrelevant features. We discuss findings relation limitations concurrent summarization ability outlier discounting perception.