[jmilloy]

Eh, this isn't a statement about his own models, and it's obviously a gross oversimplification anyways. You should focus on some of the earlier statements which give an indication of that his models aren't just a "GOOD/BAD" classification. As a silly example, if my model which predicts age based on a photo was right 50% of the time, that's pretty good because there are more than two ages. If it predicted birthday and was right 50% of the time, that would be incredible.

Furthermore, the models should probably be described as forecasts and not predictions, and as such can't be right or wrong. Which is mainly just to emphasize that the statement is an oversimplification.