11.11.2020 - By AEI Podcasts
So much of our policy debates rely on
predictions, projections, and probabilities. What will the results of the
upcoming election be? How will this policy affect economic growth? How big of a
threat is climate change in the long term? What do the epidemiological models
say about handling the COVID pandemic? It’s important to answer these questions
as best as we can, but we should also recognize that some uncertainty is
inevitable. We can’t quantify our way through difficult, ambiguous problems. At
least, that’s the argument made by today’s guest, Mervyn King.
Mervyn is a professor of both economics and law at New York University, and he is a former governor of the Bank of England. He is also the co-author, along with John Kay, of “Radical Uncertainty: Decision-Making beyond the Numbers.”