The article discusses how statistical data is used as evidence in criminal trials. It argues that a guilty verdict not only depends on proving the defendant committed the crime but also on showing it was specifically them and not someone else. Some statistical evidence may support the main claim but not the additional claim, making it arbitrary. Since criminal convictions involve moral judgments, they can't be based on arbitrary evidence. Therefore, certain statistical generalizations can't be used to justify a guilty verdict.