This is the first time Ive seen this prediction everywhere else, believe it will be a cornflower blue tidal surge....
For it to be this large with such a divided population, and an unpopular war
![[Image: c261e6d43a7da2600e48608ee7118ab4.jpeg]](https://denyignorance.com/uploader/images/c261e6d43a7da2600e48608ee7118ab4.jpeg)
For it to be this large with such a divided population, and an unpopular war
![[Image: c261e6d43a7da2600e48608ee7118ab4.jpeg]](https://denyignorance.com/uploader/images/c261e6d43a7da2600e48608ee7118ab4.jpeg)
Quote:Polymarket odds are wrong relatively infrequently—typically 3-10% of the time for the leading outcome, depending on the timeframe—but this depends on how you define "wrong."
Key Metrics on Accuracy
Prediction markets like Polymarket provide probabilities, not certainties. A market at 70% implies a 30% chance of being "wrong," but the platform as a whole is well-calibrated and often outperforms polls or experts.Important Nuances and Biases
- "Accuracy" here usually means: How often the favored outcome (the one trading above 50%) correctly resolves. This is the metric Polymarket and analysts like Alex McCullough (Dune dashboard) commonly report.
- 4 hours before resolution: ~96.7% accurate.
- 12 hours: ~96.4%.
- 1 day: ~95.8%.
- 1 week: ~94%.
- 1 month: ~90.4%.
- Brier scores (a proper probabilistic scoring rule; lower is better, where 0 is perfect and 1 is worst): Around 0.06–0.19 overall, which is excellent. Highly liquid markets (e.g., >$1M volume) often score even better (~0.02–0.03 near resolution). A score below 0.125 is considered good.
- Broader analyses across thousands of resolved markets (2023–2026) report:
- Overall "correct leading outcome" rates of ~73–82% in some studies (heavily influenced by many low-probability "No" resolutions).
- Strong calibration: Markets priced at e.g. 80–90% tend to resolve correctly close to that rate.
Why Polymarket Performs Well Overall
- Many markets are lopsided: ~74% resolve "No" vs. ~26% "Yes," due to lots of long-shot "Yes" markets (e.g., fringe political or event outcomes). These boost headline accuracy because low-probability events usually don't happen.
- Slight overconfidence bias: Markets often slightly overprice "Yes" outcomes (events happen less often than priced, across most probability buckets). This is common in prediction markets.
- Accuracy improves closer to resolution as information arrives and liquidity concentrates. Early prices can be noisier.
- Domain variation: Better on high-stakes politics/elections; more variable on sports, crypto prices, or niche events. Some studies note underconfidence in politics (prices too close to 50%) at longer horizons.
- Not infallible: There are notable misses (e.g., certain elections or events), and a Vanderbilt study found lower hit rates in one comparison (~67%). Superforecasters sometimes beat it on specific topics like central bank decisions.
Financial incentives align participants toward accuracy (skin in the game), and a small number of informed traders (~3% in one analysis) drive most price discovery. Liquidity helps: bigger-volume markets are sharper.
In short, treat Polymarket probabilities as reliable but not perfect forecasts—especially strong near event resolution and on liquid markets. They're often among the best public aggregators of information, beating many polls, but surprises happen roughly as often as the implied probabilities suggest. For the latest, check Polymarket's accuracy page or Dune dashboards.
His mind was not for rent to any god or government
Always hopeful yet discontent, knows changes aren't permanent
But change is
Professor Neil Ellwood Peart
![[Image: PEART-2744335652.gif]](https://denyignorance.com/uploader/images/PEART-2744335652.gif)
Always hopeful yet discontent, knows changes aren't permanent
But change is
Professor Neil Ellwood Peart
![[Image: PEART-2744335652.gif]](https://denyignorance.com/uploader/images/PEART-2744335652.gif)







