If I had gotten the chance to conduct the interview with Professor Laibson, my question would have been: "Human decision-making is often super unpredictable and influenced by a lot of psychological biases. Do you think it's possible to accurately account for these biases in prediction and forecasting for economic markets/public policy, and if you do, how do you think this accounting for would impact the overall efficacy of these predictions/forecasts." I'm really interested in the intersection between human psychology and prediction, and obviously when humans are making predictions, it's important to take into account the effects of that psychology, which may take the form of biases, and how that might affect the decisions and predictions that are being made.
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