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Jean-Pierre Beugoms Profile - Good Judgment Inc.
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Good(3)Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
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This profile is tangentially relevant to AI safety through its illustration of superforecasting methodology, which is sometimes used in AI risk estimation and policy forecasting contexts, but it is primarily a biographical page.
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Summary
Profile of Jean-Pierre Beugoms, a military historian and one of the original Good Judgment Project superforecasters from 2011, known for his election forecasting track record and analytical approach. The profile covers his forecasting origins, methodology, and collaboration with other superforecasters. He is featured in Adam Grant's book 'Think Again' as an example of effective forecasting practice.
Key Points
- •Beugoms joined the Good Judgment Project in 2011 and became one of the first-ever cohort of designated superforecasters after finishing near the top of ~270 forecasters.
- •His forecasting interest was sparked by family history and self-tracking against pundits since the 1990s, including correct predictions on Gulf War strategy and NATO's Yugoslavia campaign.
- •He used Allan Lichtman's 'Keys to the White House' model to challenge pundit consensus on Clinton's 1996 re-election viability, demonstrating base-rate and structural thinking.
- •Emphasizes the value of questioning assumptions and systematic record-keeping as core forecasting skills.
- •Represents a practitioner case study in the superforecasting methodology developed by Philip Tetlock and the Good Judgment Project.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Good Judgment (Forecasting) | Organization | 50.0 |
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[About](https://goodjudgment.com/about/ "Go to About.") \> [Our Team](https://goodjudgment.com/about/our-team/ "Go to Our Team.") \> [Superforecaster Profiles](https://goodjudgment.com/about/our-team/superforecaster-profiles/ "Go to Superforecaster Profiles.") \> Jean-Pierre Beugoms
- ## Meet Military Historian and Superforecaster® Jean-Pierre Beugoms
When Jean-Pierre Beugoms joined the Good Judgment Project back in 2011, in the middle of its first year, he worked his way up the leaderboard to become one of the first ever group of GJP superforecasters. Now a professional Superforecaster with Good Judgment Inc, Jean-Pierre is featured in a new book by bestselling author and Wharton’s top-rated professor Adam Grant, _Think Again_.
We’ve asked him about his outstanding track record in election forecasting, the importance of questioning assumptions, and tips for people who want to improve their forecasting skills.
**GJ: In _Think Again_, Adam Grant reports that you started forecasting and tracking your forecasts against pundits back in the 1990s. Why did you start doing that?**
J-P: As a boy, I remember being told a story about my maternal grandfather. He had been following the course of World War II for the government of Haiti and predicted that the Wehrmacht would quickly defeat the French and British forces in 1940. Those who did not take him seriously were surprised when it actually happened. So, maybe I started forecasting because of my grandfather. As a young man, I had a sense that I might be good at it. In 1991, I correctly predicted that General Norman Schwarzkopf would choose to employ a “left hook” against the Iraqi forces while the media were expecting an amphibious assault. I also correctly predicted the success of the NATO bombing campaign over Yugoslavia while pundits were saying that it was impossible to win a war from 10,000 feet.
What compelled me to start systematically tracking my forecasts against those of the pundits was the 1994 midterm election. Following the Republican takeover of Congress, nearly every pundit wrote off President Bill Clinton’s re-election chances. I wondered how they could be so confident. Then I found a book titled _Keys to the White House_ by Allan Lichtman, a “do-it-yourself system” for predicting presidential elections without polls. Informed by Lichtman’s system, I concluded that Clinton was in a much stronger position than pundits realized.
Until that time, I had absolutely no interest in forecasting elections. Afterwards, I was hooked. I started keeping records of pundit forecasts, as well, as a way of showing that I was better than they were. Forecasting became a hobby.
**GJ: You joined the Good Judgment Project back in 2011, which was its first year. How did you learn about GJP, and why did you decide to participate?**
J-P: I learned about GJP from Nate Silver’s blog. I decided to participate because I thought it would be an excellent opportunity to prove to myself that forecasting geo
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