Philip E. Tetlock

Researcher

Leonore Annenberg University Professor at the University of Pennsylvania; ran the twenty-year Expert Political Judgment study showing most pundits' forecasts barely beat chance, then was Principal Investigator of the Good Judgment Project, which identified what actually makes some forecasters reliably better.

Roles
Leonore Annenberg University Professor, University of Pennsylvania (2011–present); Principal Investigator, Good Judgment Project (2011–2015); Mitchell Endowed Professor, Haas School of Business, UC Berkeley (2002–2010)
Born
1954

Tetlock holds a PhD from Yale (1979) and a BA from the University of British Columbia (1975) [1]. He began at Berkeley as an assistant professor of psychology in 1979, reached Distinguished Professor by 1993, then held the Burtt Professorship of Psychology and Political Science at Ohio State (1996–2001) and the Mitchell Endowed Professorship at Berkeley’s Haas School of Business (2002–2010) [1]. Since 2011 he has held the title Leonore Annenberg University Professor at the University of Pennsylvania, appointed jointly in the Psychology Department and the Wharton School [1]: a joint appointment that puts a management school’s name, not only a psychology department’s, behind the research below.

His signature work is Expert Political Judgment (2005), a twenty-year study that scored political and economic experts’ forecasts against reality; in aggregate the experts barely beat chance, and Isaiah Berlin’s fox-versus-hedgehog cognitive style predicted accuracy better than credentials or fame did [2]. The book won the American Political Science Association’s Woodrow Wilson Foundation Award and Robert E. Lane Award, both in 2006 [3][4]. Its publisher credits it with reshaping how expert judgment gets evaluated, appealing “to corporations seeking to develop standards for judging expert decision-making” [2] (the corporate readership is the publisher’s own claim, not Management Craft’s).

Tetlock then served as Principal Investigator of the Good Judgment Project (2011–2015), co-led with Barbara Mellers, the team that won a six-way U.S. intelligence-community forecasting tournament run by IARPA [5]. Its best volunteer “superforecasters” beat “the collective judgment of intelligence analysts with access to classified information,” as told in Superforecasting (2015), a New York Times Editors’ Choice and winner of the Axiom Business Book Award in business theory [6]. Honors along the way include a Grawemeyer World Order Prize (2007), fellowship in the American Academy of Arts and Sciences (2009), an Andrew Carnegie fellowship (2015), and election to the American Philosophical Society (2019) [1]. He was also twice a MacArthur Fellow in International Security and Conflict Resolution (1987–1989 and 1999–2001) [1] — an award named, and given, for work in that specific field.

Tetlock is a political psychologist, not a management scholar: his research grew out of studying geopolitical and economic predictions, not from running or advising companies. Management Craft borrows his data rather than sitting inside his home field, closer to how Csikszentmihalyi’s Flow was borrowed in than to an operator’s own record. The borrowing holds because his method, scoring calibrated probability judgments against what actually happened, doesn’t care whether the predictions are about elections or about who will perform: Knowing what great looks like leans on his data for a narrow claim about how a good judge thinks: that the fox, who knows many little things and draws from an eclectic array of traditions, forecasts better than the hedgehog, who reasons down from one organizing theory [2]. His word carries real weight on judgment under uncertainty and forecasting skill; none on operating a company, managing people, or any claim he hasn’t run data on himself.

1
"Philip Tetlock," Faculty Profile, Management Department, The Wharton School, University of Pennsylvania, accessed July 29, 2026,
https://mgmt.wharton.upenn.edu/profile/tetlock/
2
"Expert Political Judgment: How Good Is It? How Can We Know?," Princeton University Press, accessed July 29, 2026,
https://press.princeton.edu/books/hardcover/9780691178288/expert-political-judgment
3
"Woodrow Wilson Foundation Award Recipients," American Political Science Association, accessed July 29, 2026,
https://apsanet.org/programs/apsa-awards/woodrow-wilson-foundation-award-recipients/
4
"Awards," Political Psychology (Organized Section 28), American Political Science Association, accessed July 29, 2026,
https://connect.apsanet.org/s28/awards/
5
"Evidence on Good Forecasting Practices from the Good Judgment Project," AI Impacts, accessed July 29, 2026,
https://aiimpacts.org/evidence-on-good-forecasting-practices-from-the-good-judgment-project/
6
"Superforecasting: The Art and Science of Prediction," Penguin Random House, accessed July 29, 2026,
https://www.penguinrandomhouse.com/books/227815/superforecasting-by-philip-e-tetlock-and-dan-gardner/