Perspect Psychol Sci May 2015 PMID 25987508

Identifying and cultivating superforecasters as a method of improving probabilistic predictions.

Barbara Mellers, Eric Stone, Terry Murray, Angela Minster, Nick Rohrbaugh, Michael Bishop, Eva Chen, Joshua Baker, Yuan Hou, Michael Horowitz, Lyle Ungar, Philip Tetlock

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Mentions

26
Peak: 4 in Aug 2025
across 4 sources since Feb 2020

Extended reach

22,894
potential audience

Total likes

26

Video views

5

Mentions per month

Feb 2020 – Aug 2025

Where it's discussed

  • News9 articles
  • X / Twitter8 posts
  • Blogs6 articles
  • YouTube3 videos

AI synopsis

What people are saying

Discussions highlight various aspects of the publication, such as mentions of prediction logs, the role of cognitive abilities, and training, showing genuine interest and some in-depth engagement. The tone varies from questioning to referencing related studies, which reflects both curiosity and recognition of the research's potential impact.

AgreementModerate agreement

Many discussions reference research and concepts from the publication, indicating general support or acknowledgment of its relevance.

InterestHigh interest

Participants show high curiosity, discussing specific details like prediction logs and training which reveal engagement with the topic.

EngagementModerate engagement

Posts include comments, questions, and references to related research, demonstrating moderate-to-deep involvement.

ImpactModerate impact

The discussions seem to acknowledge the significance of the research, with some referencing its practical implications or theoretical importance.

Abstract in brief

  • Research indicates that people often struggle with making accurate predictions about future events, prompting the U.S. Intelligence Community to hold forecasting tournaments to improve subjective probability estimates.
  • The winning strategy involved identifying top performers and organizing them into elite teams called superforecasters, who exhibited exceptional accuracy across various geopolitical questions.
  • Four key factors contributed to the success of superforecasters: cognitive abilities, specific skills related to forecasting, strong motivation, and supportive environments, demonstrating that their abilities can be developed and highlighted through competition.

Top posts

Most liked on X and Bluesky
Kristján Moore (Kris) ➡️ kristjanmoore.bsky.social
@kristjanmoore · X

@BasilHalperin In this paper, when restricting to forecasts made "quickly" (within first day of question open and within 4 minutes of starting the computer - how they know this I don't know), supers outperformed even 2nd-tier "top-team" individuals. https://t.co/zB1zCdOtrW https://t.co/SprIBlENEX

Jul 11, 2023 · 6 likes · 763 followers View post →
Amir Grinstein מחקרהתנהגותי#
@AmirGrinstein · X

4/4 אפשר גם לאמן "סופר-חוזים" ולייצר ערך מוסף למקבלי החלטות: https://t.co/xr1is1KlBK עוד על הסופר-חוזים במחקר הזה: https://t.co/qbvX32V984

Oct 2, 2024 · 5 likes · 6,465 followers View post →
Hallgeir Sjåstad
@H_Sjastad · X

Predicting the future is difficult, but some of us are better at it than others. Research by Tetlock & colleagues suggests that "Superforecasters" are partly discovered & partly created: - Intelligence, skills & motivation - Training, teaming & tracking https://t.co/Dc8XbGelcL https://t.co/0UnvbLXUe1

Nov 30, 2020 · 5 likes · 2,137 followers View post →
Bruno Jahn
@foxyforecaster · X

@PhillipRotty @s8mb @iainmartin1 https://t.co/s7fjUHiyNN

Feb 17, 2020 · 5 likes · 1,229 followers View post →
Hallgeir Sjåstad
@H_Sjastad · X

@DG_Rand @morewedge Many thanks for the recommendations! Part of the inspiration comes from reading Tetlock's work on superforecasters, which identified accuracy-promoting characteristics both at the trait/ability level & their social "enriched environments". https://t.co/Dc8XbGelcL https://t.co/jg38BBm1Ja

Nov 27, 2020 · 1 like · 2,137 followers View post →
Javier Auszenker
@jauszenker · X

@alamasv @csanhue @AXELKAISER @PTetlock Pundits. En general en temas de política, economía o deportes. Mira por ejemplo este paper. https://t.co/13n7hzO6gK

Mar 19, 2020 · 1 like · 634 followers View post →

All mentions

David Manheim
@davidmanheim · X

@DamiDina @peterdedene @rohanpaul_ai "Where are these scientific peer reviewed prediction logs?" Here https://t.co/pqtMWk4Ik8 and here https://t.co/wKxwLHhNlf and here https://t.co/VHsjOttZ3l

Aug 31, 2025 · 9,519 followers View post →
Amir Grinstein מחקרהתנהגותי#
@AmirGrinstein · X

4/4 אפשר גם לאמן "סופר-חוזים" ולייצר ערך מוסף למקבלי החלטות: https://t.co/xr1is1KlBK עוד על הסופר-חוזים במחקר הזה: https://t.co/qbvX32V984

Oct 2, 2024 · 5 likes · 6,465 followers View post →
Kristján Moore (Kris) ➡️ kristjanmoore.bsky.social
@kristjanmoore · X

@BasilHalperin In this paper, when restricting to forecasts made "quickly" (within first day of question open and within 4 minutes of starting the computer - how they know this I don't know), supers outperformed even 2nd-tier "top-team" individuals. https://t.co/zB1zCdOtrW https://t.co/SprIBlENEX

Jul 11, 2023 · 6 likes · 763 followers View post →
Hammock Smuggler
@JeanKlop · X

@craigtalbert @kevinnbass @carrickj @nntaleb @tell_me_muse @ReaperInTheRye @Dominic2306 @russianforces @PTetlock @yaneerbaryam Yes it does (see reference). They could, but then the definition and the ranking gets different and you would have to test a new if there is signal in the nosie. https://t.co/pbKaj6Z6Vp

Oct 10, 2022 · 7 followers View post →
Hallgeir Sjåstad
@H_Sjastad · X

Predicting the future is difficult, but some of us are better at it than others. Research by Tetlock & colleagues suggests that "Superforecasters" are partly discovered & partly created: - Intelligence, skills & motivation - Training, teaming & tracking https://t.co/Dc8XbGelcL https://t.co/0UnvbLXUe1

Nov 30, 2020 · 5 likes · 2,137 followers View post →
Hallgeir Sjåstad
@H_Sjastad · X

@DG_Rand @morewedge Many thanks for the recommendations! Part of the inspiration comes from reading Tetlock's work on superforecasters, which identified accuracy-promoting characteristics both at the trait/ability level & their social "enriched environments". https://t.co/Dc8XbGelcL https://t.co/jg38BBm1Ja

Nov 27, 2020 · 1 like · 2,137 followers View post →
Javier Auszenker
@jauszenker · X

@alamasv @csanhue @AXELKAISER @PTetlock Pundits. En general en temas de política, economía o deportes. Mira por ejemplo este paper. https://t.co/13n7hzO6gK

Mar 19, 2020 · 1 like · 634 followers View post →
Bruno Jahn
@foxyforecaster · X

@PhillipRotty @s8mb @iainmartin1 https://t.co/s7fjUHiyNN

Feb 17, 2020 · 5 likes · 1,229 followers View post →