Predicting the outcome of Supreme Court decisions has long been a favorite parlor game for political scientists, attorneys, and legal-system junkies.
People have built statistical models, predictive algorithms, and flow charts, and have used machine learning to try to guess what the justices will decide. Some of these models are reliable. Several of them make accurate predictions around 75 percent of the time. Human prognosticators can be even more impressive than that.
Ce contenu a été mis à jour le 26 janvier 2016 à 14 h 34 min.