“…The Gini index can help assess whether reported distributions are more concentrated than they ought to be, independent of where they are centered (Gini, 1912;Lorenz, 1905;Soll, Palley, Klayman, & Moore, 2018). It allows for a comparison between the concentration of each individual's distribution relative to the true distribution (Moore, Carter, & Yang, 2015). A Gini of 1 indicates a perfectly concentrated distribution, with 100% of the mass in a single bin; a Gini of 0 indicates a perfectly dispersed distribution, with equal mass in each bin.…”