Good Judgment Open: The Superforecaster Platform Explained
April 12, 2026 · PolyMath Team · 10 min read
Before Polymarket existed, before Kalshi had a CFTC license, a government-funded research project discovered something remarkable: a small group of ordinary people — no PhDs required — could out-predict CIA analysts, geopolitical experts, and professional forecasters on world events. They were called superforecasters.
Good Judgment Open (GJOpen) is the public platform that emerged from that research. It's free to join, hosts thousands of questions, and serves as both a forecasting training ground and a signal source for sharp Polymarket traders who know how to read it.
The Origin: The Good Judgment Project
Good Judgment Open traces back to the Good Judgment Project — a multi-year IARPA-funded tournament starting in 2011 to determine whether human forecasters could beat chance (and intelligence community baselines) on geopolitical questions.
The results, documented in Philip Tetlock's landmark book Superforecasting, showed that a subset of participants — roughly the top 2% — were dramatically better than everyone else:
- 60% more accurate than average forecasters
- Outperformed professional intelligence analysts with access to classified data
- Maintained their edge across years and question types
- Used specific, learnable thinking techniques — not innate genius
The company Good Judgment Inc. spun out of the project and launched Good Judgment Open as the public-facing platform where anyone can forecast alongside superforecasters.
How Good Judgment Open Works
GJOpen runs similarly to Metaculus but with a specific focus on geopolitical, economic, and policy questions — the domains where superforecasters have demonstrated the most dramatic edges.
Question Types
GJOpen questions typically ask for probabilities on verifiable binary or multiple-choice outcomes:
- Will Country X hold elections before Date Y?
- Will GDP growth exceed Z% in Q3?
- Will any member of Group A do B before C?
- Will Organization X announce Y before the end of the quarter?
Scoring System
Forecasters are scored using the Brier score — a proper scoring rule that penalizes both overconfidence and underconfidence. A perfect Brier score is 0.00. Chance is 0.25. Elite superforecasters consistently score below 0.10.
Your cumulative Brier score creates a leaderboard position that unlocks access to Superforecaster team questions — premium questions with higher-stakes geopolitical content that aren't visible to the general public.
The Superforecaster Mindset
Tetlock's research identified specific thinking patterns that distinguish superforecasters from average forecasters — all of which transfer directly to prediction market trading:
1. Start with the Base Rate
Before thinking about what makes this situation unique, ask: how often does this type of event happen in general? If governments rarely make X type of announcement, start at 5% even if current headlines suggest it might happen.
2. Update Frequently in Small Steps
Superforecasters update their estimates more often than average forecasters — but they update in small increments. A single news article rarely justifies moving from 30% to 70%. More likely: 30% → 37% → 43%.
3. Think in Distributions, Not Points
Instead of "I think this will happen," think "across 100 worlds where the current situation holds, in how many does X occur?" This framing naturally generates probability estimates.
4. Actively Seek Disconfirmation
Before committing to a probability, explicitly look for evidence that you're wrong. Superforecasters spend as much time steelmanning the opposite view as defending their own.
Using GJOpen for Polymarket Edge
The practical workflow for Polymarket traders:
- Find the question on GJOpen— search for the same event that's priced on Polymarket. Many high-volume Polymarket markets have parallel GJOpen questions.
- Read the top forecasters' rationales — GJOpen shows the reasoning behind forecasts. This is often more valuable than the number itself. Expert rationales surface evidence you may have missed.
- Compare to Polymarket price — gaps of 5–10%+ warrant investigation. Gaps of 15%+ on well-researched questions are often genuine mispricings.
- Validate with PolyMath tools — confirm positive EV with the EV Calculator, then size with Kelly Criterion.
GJOpen vs Metaculus — Which Is Better?
| Dimension | Good Judgment Open | Metaculus |
|---|---|---|
| Focus | Geopolitical, policy, econ | Broad (sci, tech, policy) |
| Question count | ~500 active | 10,000+ active |
| Aggregation | Weighted by Brier score | Bayesian + extremizing |
| Expert rationales | Yes (top forecasters) | Yes (community) |
| Best for | Geopolitics, macro | Science, AI, tech |
Use both. GJOpen has deeper expert commentary on geopolitical questions. Metaculus has broader coverage and a larger forecaster community. Together they cover virtually every major question that also appears on Polymarket or Kalshi.
Bottom Line
Good Judgment Open is a free, high-signal resource that most prediction market traders completely ignore. The superforecasters on GJOpen have a documented, decade-long track record of accuracy on the exact types of questions that appear on Polymarket. When their consensus diverges meaningfully from market prices, pay attention. Pair GJOpen signals with PolyMath's EV Calculator to turn forecasting signals into sized, profitable trades.
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