This is a question about the David Laibson Video. The question I would ask was sparked by a quick diversion that the conversation took. He mentioned that the stock market is a combination of many peoples forecasts and predictions. But, he mentions that there isn’t enough data to incorporate machine learning in order to make a forecast of the stock market. I am curious what he means by this and would ask him to elaborate. Is it that there aren’t enough data points or that there is too much unknown. I assume it is the latter, but I would be really interested to hear what kind of unknowns would be necessary to make this kind of prediction.