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Rethinking the Role of Teams and Training in Geopolitical Forecasting: The Effect of Uncontrolled Method Variance on
Clifford E Hauenstein1, Rick P Thomas1, David A Illingworth2
1School of Psychology, Georgia Institute of Technology.
Psychological Science
|December 4, 2024
Summary
Working in teams and probability training may not improve geopolitical forecasting accuracy. Statistical controls revealed extraneous variables that diminished or reversed the benefits of these interventions, complicating the identification of superforecaster traits.
Area of Science:
- Cognitive Psychology
- Decision Science
- Geopolitical Analysis
Background:
- Previous research suggested teamwork and probability training enhance geopolitical forecasting.
- These interventions were linked to improved forecasting ability in a geopolitical tournament.
Purpose of the Study:
- To reevaluate the impact of teamwork and probability training on forecasting ability.
- To investigate the role of extraneous variables in forecasting performance.
- To identify latent traits differentiating superforecasters.
Main Methods:
- Utilized an item response theory (IRT) framework to model latent forecasting ability.
- Statistically controlled for extraneous variables influencing forecasting choices.
- Analyzed data from a geopolitical forecasting tournament.
Main Results:
- The relationship between latent ability and forecast accuracy was altered after controlling for extraneous variables.
- Extraneous variables substantially reduced or reversed the positive effects of teaming and training.
- Latent traits associated with strategic responding distinguished superforecasters but obscured underlying factors.
Conclusions:
- The original conclusions regarding the benefits of teamwork and training require reevaluation.
- Extraneous variables significantly mediate the impact of experimental manipulations on forecasting ability.
- Identifying the precise factors behind superforecasting success remains challenging due to strategic response traits.
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