Skip to content
Longterm Wiki
Back

Good Judgment Open - Forecasting Platform

web
gjopen.com·gjopen.com/about

Good Judgment Open applies superforecasting methodology to public questions; useful for AI safety researchers interested in forecasting AI timelines or policy outcomes with calibrated probabilities.

Metadata

Importance: 35/100homepagetool

Summary

Good Judgment Open is a public forecasting platform where participants make probabilistic predictions on geopolitical, economic, and other real-world questions. It applies the superforecasting methodology developed from IARPA's research, aggregating crowd wisdom to produce well-calibrated probability estimates. The platform is relevant to AI safety for its work on forecasting AI-related developments and demonstrating structured uncertainty quantification.

Key Points

  • Public platform for probabilistic forecasting on real-world questions using superforecasting methodology
  • Aggregates predictions from large crowds to produce calibrated probability estimates on uncertain outcomes
  • Relevant to AI safety as a tool for forecasting AI capabilities timelines and policy developments
  • Based on research showing that structured forecasting with feedback significantly improves prediction accuracy
  • Used by researchers and analysts to track and quantify uncertainty around emerging technology risks

Cited by 1 page

PageTypeQuality
AI-Human Hybrid SystemsApproach91.0

Cached Content Preview

HTTP 200Fetched Apr 9, 20260 KB
Good Judgment® Open
 
 

 
 
 

 

 

 

 

 
 

 

 
 

 

 
 

 
 

 

 
 

 
 

 

 
 

 
 

 
 
 
 

 
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 

 
 Files 
 
 
 
 Remove 
 

 
 

 
 Tip: Mention someone by typing @username 
 
 

 
 
 
 Publish Anonymously
 
 
 
 
 
 Cancel
Resource ID: baf127136ae877ff | Stable ID: sid_J2a1lYzowE