One aspect of the behavioral economics discussion that I watched between David Laibson and Alyssa Goodman came during the discussion of economic modeling. I found it surprising how forthcoming Professor Laibson was about the inability to project stock performance over any far-reaching time frame. He used the term "random walk" which stood out to me since I'm and economics concentrator myself. The stock market plays a central role in many senses to the economy of the United States and more broadly the world. Because of this, an inability to forecast the success or failure of a stock in the long term is an interesting revelation from this interview. Laibson's certainty of this is what surprised me most.
In terms of a question I would have asked Professor Laibson, as a former student of his, I would want to ask him about the ways in which predictive methods and uncertainty in those methods effects that ways in which he presents economic models in his curricula. I would imagine these factors make significant impacts on how he chooses to conduct his courses but would love to know more details on how exactly these effects manifest. David Laibson has always been one of my favorite professors I've ever had and because of this I really enjoyed this discussion.