> Minimizing loss over aggregates is what a statistical model is designed to do, so if you evaluate human judgment against statistical predictions in aggregate

> Minimizing loss over aggregates is what a statistical model is designed to do, so if you evaluate human judgment against statistical predictions in aggregate on data similar to what the model was trained on, then you should expect statistical prediction to win This reminds me of the many years machine translation was evaluated on BLEU towards reference translations, because they didn't know any better ways. Turns out that if you measure translation quality by n-gram precision towards a reference translation, then methods based on n-gram precision (such as the old pre-NMT Google translate) were really hard to beat.