Yu and Kuncel decided to compare judges not to the best simple model of themselves but to a random linear model. They generated ten thousand sets of random weights for the seven predictors, and applied the ten thousand random formulas to predict job performance. Their striking finding was that any linear model, when applied consistently to all cases, was likely to outdo human judges in predicting an outcome from the same information.
