May 8, 2026

Betting on the future… or just vibes?

Looking at the data behind prediction markets

The ‘future of forecasting’ is looking a lot like gambling, and commenters are not calm

TLDR: The article argues that today’s big prediction markets are mostly driven by sports and gambling-style bets, not useful public forecasting. Commenters split between wanting a serious data debate and dunking on the whole idea as overpriced guesswork with casino energy.

Prediction markets were once pitched as the brainy crystal ball of modern life: a way to use bets to make smarter decisions about politics, business, and even global risk. But this piece drops a bucket of cold water on that dream. In 2026, most of the money flowing through big public sites like Polymarket and Kalshi apparently isn’t helping humanity see the future at all — it’s mostly sports, crypto, and election betting. In other words: less noble forecasting revolution, more casino with charts.

And the community reaction? Spicy. One camp basically said, “Can we please stop doing the same old ‘prediction markets good/bad’ food fight and actually discuss the data?” That was moderator-energy in full force. Others were far less diplomatic. One commenter suggested these things should be called “indicator markets” instead, because they seem better at summarizing what people already think than truly predicting what happens next. Ouch.

Then came the legal horror stories and theory nerd battles. One user casually dropped a tale about calling the SEC — the US government’s market regulator — and being told, essentially, absolutely not, because a public prediction market would be a magnet for abuse. Another argued that high trading volume doesn’t automatically mean better forecasts anyway, kicking off a more technical but very real disagreement over whether these markets are wise crowds or just noisy crowds with wallets. The vibe of the thread: half disappointed professor, half degenerate sportsbook side-eye.

Key Points

  • The article traces prediction markets to academic and economic theories from figures including Kenneth Arrow, Daniel Kahneman, Friedrich Hayek, and Robin Hanson.
  • Large organizations and government bodies such as Google, Microsoft, the CIA, the wider U.S. intelligence community, and British analysts have run internal prediction-market experiments, but these were small-scale.
  • By 2026, public platforms Polymarket and Kalshi were transacting billions of dollars per month, indicating major growth in market size.
  • The article states that most current public-market volume is concentrated in sports, cryptocurrency prices, and election betting, with about 90% of Kalshi volume from sports and over 80% of Polymarket volume in those categories.
  • The author evaluates usefulness through demand for forecasts and identifies benefit categories including risk monitoring and news interpretation, illustrated with examples involving COVID-19 and the Strait of Hormuz.

Hottest takes

"they should be called 'indicator markets' rather than 'prediction markets'" — infinitewars
"basically 'no way'" — rpjt
"there is no need (and no incentive) to trade since prices are efficient" — vcf
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