Prediction markets have moved from niche political forecasting into mainstream trading apps, where users can wager on sports, elections, cryptocurrency moves and other outcomes alongside stocks and retirement products. Their growth has been striking: Robinhood’s prediction-market revenue topped $173mn in one quarter, while Kalshi raised $1bn at a $40bn valuation. Contracts trade like financial derivatives, with prices reflecting participants’ implied odds, but many function much like bets. Sports “combo” wagers and very short-term crypto markets have expanded rapidly, and leveraged perpetual futures add further risk. Operators argue these products are financial tools, though legal disputes in the US and restrictions in Europe reflect disagreement over whether they should instead be treated as gambling.
The central concern is that placing fast, high-stakes wagers inside investment platforms erodes the distinction between saving and gambling. Critics say quick outcomes, unpredictable rewards, social features and opportunities to chase losses can encourage impulsive trading and normalize risk-taking, echoing the “gamification” controversy around Robinhood and the GameStop frenzy. Research cited on investment-app design links engagement features with more frequent trading and poorer returns, while advisers warn that even disciplined investors may become conditioned to seek immediate, binary outcomes. Supporters counter that prediction markets can provide useful information about matters such as economic or climate risks, and that restricting them could remove a valuable tool. Their record is not uniformly reliable, however: markets that gained credibility by anticipating Donald Trump’s 2024 victory missed other major electoral outcomes. The debate is therefore about both consumer protection and whether useful forecasting deserves a place on the same platforms as sports betting.
Summary generated by AI from the linked article. hn.today is not affiliated with Hacker News or Y Combinator.
Historical research thrives on eccentricity, creativity, and engaging with unfamiliar ways of thinking. As AI takes on memorization and archival searches, these human qualities will matter even more. (resobscura.substack.com)
Social programs often fail to deliver their promised benefits and can even cause unintended harm. Policymakers should approach interventions with humility and test them carefully before scaling them up. (experimental-history.com)
X’s engagement incentives pushed Republicans toward increasingly extreme rhetoric, leading politicians to mistake online attention for broad public support. That disconnect helped explain their unexpectedly poor results in the midterms as voters rejected the toxic content and ignored real affordability concerns. (theatlantic.com)
Data center opposition is driven largely by the huge electricity demands of facilities, not just broader concerns about Big Tech. Whether they draw power from the grid or generate it onsite, their energy use creates distinct local impacts that public relations cannot erase. (technologyreview.com)
![Greenfield – a short film about the last engineers who write code by hand [video]](https://hntoday.pixelshot.io/screenshots/20261110/ea40640773844444_tn.jpeg)
“Greenfield” is a short film about the last engineers who write code by hand. The provided page contains no further details about the film. (youtube.com)
Nintendo of America is hiring a contract digital archivist to organize and preserve records about its legacy hardware and software. The role will build metadata standards and a searchable repository so historical technical information remains accessible. (careers.nintendo.com)
Today's best Hacker News stories, summarized and screenshotted, one email a day.