Don Moore is a Professor of Management of Organizations at the University of California at Berkeley’s Haas School of Business, where he teaches popular courses in leadership, negotiations, and decision-making. He also consults on these topics.
With Max Bazerman, he is the coauthor of Judgment in Managerial Decision Making, one of the bestselling textbooks in the field. Additionally, Moore was one of the principal investigators on the Good Judgment Project, a forecasting tournament sponsored by the U.S. government’s Intelligence Advanced Research Projects Activity (IARPA). The forecasters involved established an excellent record predicting the outcomes of major world events, and this project was chronicled by Philip Tetlock and Dan Gardner in their 2015 book, Superforecasting.
Moore has authored or coauthored columns published by The New Yorker, The Wall Street Journal, Businessweek, Fortune, Forbes Leadership Forum, USA Today, San Francisco Chronicle, Harvard Business Review, the Harvard Negotiation Newsletter, and others. His work has been covered in The New York Times, Money, The Wall Street Journal, The Economist, the Financial Times, The New Yorker, Businessweek, Forbes, Kiplinger’s Personal Finance, The Washington Post, the Christian Science Monitor, USA Today, Entrepreneur, PBS’s Nightly Business Report, CNN, NPR, KCBS, PredictablyIrrational.com, Freakonomics.com, and numerous other media outlets and websites. Moore writes a blog entitled Perfectly Confident for Psychology Today.
How to Calibrate Your Decisions Wisely
An expert on the psychology of decision making at Berkeley’s Haas School of Business considers how to calibrate examines the importance of being confident, arguing that confidence is good, but overconfidence can hinder growth. More »