Data scientist Alex McCullough recently shared insights in a Dune dashboard report revealing that Polymarket predicts global events with up to 94% accuracy.
McCullough’s analysis involved studying Polymarket’s historical data and removing markets with probabilities above 90% or below 10% after outcomes were known but not yet settled, ensuring more reliable results, as highlighted in the Dune summary.
His research showed that Polymarket tends to slightly overestimate event probabilities across various ranges, likely due to factors like acquiescence bias, herd mentality, low liquidity, and participants’ tendency to favor high-risk bets.
McCullough noted that long-term markets, those that involve events further in the future, tend to be more accurate. This is because these markets often include events with clearly unlikely outcomes, which makes predicting them easier.
In an interview with Polymarket’s The Oracle blog, McCullough gave the example of Gavin Newsom potentially becoming president during the last election, a market that saw $54 million in volume. He explained that such long-term markets often feature predictable outcomes (like Newsom not winning), which helps boost the platform’s overall accuracy for these types of predictions.
In contrast, sports markets, which have fewer extreme outcomes, provide a clearer picture of predictive accuracy. McCullough found that as these events unfold, Polymarket’s predictions improve, with accuracy spikes becoming noticeable at certain points.
Polymarket’s sports sector is expanding rapidly, with nearly $4.5 billion wagered on major events like the NBA, MLB, Champions League, and Premier League finals, according to Polymarket Analytics.
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