Perils of Prediction

Written by: Stephen Hsu

Primary Source: Information Processing

Highly recommended podcast: Tim Harford (FT) at the LSE. Among the topics covered are Keynes’ and Irving Fisher’s performance as investors, and Philip Tetlock’s IARPA-sponsored Good Judgement Project, meant to evaluate expert prediction of complex events. Project researchers (psychologists) find that “actively open-minded thinkers” (those who are willing to learn from those that disagree with them) perform best. Unfortunately there are no real “super-predictors” — just some who are better than others, and have better calibration (accurate confidence estimates).

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Stephen Hsu
Stephen Hsu is vice president for Research and Graduate Studies at Michigan State University. He also serves as scientific adviser to BGI (formerly Beijing Genomics Institute) and as a member of its Cognitive Genomics Lab. Hsu’s primary work has been in applications of quantum field theory, particularly to problems in quantum chromodynamics, dark energy, black holes, entropy bounds, and particle physics beyond the standard model. He has also made contributions to genomics and bioinformatics, the theory of modern finance, and in encryption and information security. Founder of two Silicon Valley companies—SafeWeb, a pioneer in SSL VPN (Secure Sockets Layer Virtual Private Networks) appliances, which was acquired by Symantec in 2003, and Robot Genius Inc., which developed anti-malware technologies—Hsu has given invited research seminars and colloquia at leading research universities and laboratories around the world.