Calibration
Explore how Manifold's predictions compare to real-world outcomes. Our track record demonstrates the power of collective forecasting.
📊 Why are markets better than polls or experts?
...could be used to obtain speedy information about reproducibility at low cost and could potentially even be used to determine which studies to replicate to optimally allocate limited resources into replications.”
🤑 Are markets resistant to manipulation and hype?
🌱 Do markets with few traders and low liquidity work?
“16 or more traders should be sufficient to obtain quality predictions. Smaller markets may be just as useful, though they may exhibit biases of under confidence toward market favourites.”
Overall Calibration
Predicted vs actual outcomes across all markets
This chart shows whether events happened as often as we predicted. The closer the blue dots are to the diagonal line, the better our calibration. A dot at 70% on the x-axis should appear at 70% on the y-axis if exactly 70% of those markets resolved yes.
- 1Every hour we sample 2% of all past trades on resolved binary questions with 15 or more traders. Current sample size: 89k trades.
- 2For each sampled trade, we find the average probability between the start and end.
- 3We group trades with similar probabilities together.
- 4Then, we check for trades that said there was e.g. a 60% chance, and how often those markets resolve yes. For perfect calibration, we expect 60% of them to have resolved yes.
- 5We repeat this at each probability interval to plot the calibration curve.
Note: This methodology uses trade-weighted rather than time-weighted calibration. Market accuracy may be better than reflected here, as large miscalibrated trades are usually corrected immediately.
Case Studies
Notable examples of prediction market accuracy
Predicting Trump's arrest
On March 18th Trump posted on Truth Social that he believes he was about to be arrested, causing our market to spike to 88%. However, since December our market had already been hovering around 40% on average before anyone else was even discussing it as a true possibility.
Al-Ahli Arab hospital explosion
Just 3 hours after initial local reports, this market was created. Within 1 hour it had already been pushed down to 6%, before settling between 6-20% as more news emerged. Meanwhile, major outlets still presented conflicting headlines, which led to the BBC conceding that a reporter had been wrong to speculate.
Predicting SBF fraud
Manifold had a market stable between 5-10% that SBF would be convicted of a felony 1-month before there was any news about it. It then immediately reacted correctly to rumors before any official statements were made.
2022 US Midterm Elections
Manifold outperformed real money prediction markets and was almost as accurate as FiveThirtyEight when forecasting the 2022 US midterm elections.
Additional Resources
See more charts and analysis courtesy of @wasabipesto from our data in 2022.