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  2. Betting markets nailed Trump's decisive win — and it's a good ...

    www.aol.com/betting-markets-nailed-trumps...

    Prediction site founders and researchers have long argued that betting markets are more accurate than traditional polling. This week was the biggest demonstration to back up that claim.

  3. Why prediction markets can be more accurate than polls at ...

    www.aol.com/why-prediction-markets-more-accurate...

    Prediction markets can be more accurate than polling when it comes to elections, a professor told Business Insider. There's over $606 million wagered on the 2024 election on Polymarket, favoring a ...

  4. Polymarket's pro-Trump election predictions aren't so ...

    www.aol.com/polymarkets-pro-trump-election...

    The betting site Polymarket has emerged as a hot topic in the 2024 presidential race. Trump's odds of winning are at 66% there based on bets. National polls generally show the race tied.

  5. Prediction market - Wikipedia

    en.wikipedia.org/wiki/Prediction_market

    Prediction markets can yield better estimates of the mean opinion across a population than opinion polls. A study found that for the five U.S. presidential elections between 1988 and 2004, prediction markets gave a more accurate estimate of the voting result than 74% of the studied opinion polls. [35]

  6. Statistical association football predictions - Wikipedia

    en.wikipedia.org/wiki/Statistical_association...

    Statistical Football prediction is a method used in sports betting, to predict the outcome of football matches by means of statistical tools. The goal of statistical match prediction is to outperform the predictions of bookmakers [ citation needed ] [ dubious – discuss ] , who use them to set odds on the outcome of football matches.

  7. Superforecasting: The Art and Science of Prediction - Wikipedia

    en.wikipedia.org/wiki/Superforecasting:_The_Art...

    The Economist reports that superforecasters are clever (with a good mental attitude), but not necessarily geniuses. It reports on the treasure trove of data coming from The Good Judgment Project, showing that accurately selected amateur forecasters (and the confidence they had in their forecasts) were often more accurately tuned than experts. [1]