Prediction platforms are now fully integrated into the mainstream, it seems, as CNN will start using prediction data from Kalshi in its coverage after naming the platform its official data partner.
The deal gives CNN access to real-time market odds on political, cultural, and economic events. And yes, Kalshi’s data will appear in on-air segments and in a live ticker showing current probabilities when those markets are being discussed.
Harry Enten, CNN’s chief data analyst, will lead the effort inside the newsroom. He plans to use Kalshi’s prices as one more data point alongside polling and traditional forecasting when assessing the chances of elections, policy moves, and other major developments.
Related: XRP ETFs Post 11th Straight Day of Inflows as Price Hovers Above $2
CNN’s editorial, graphics, and production teams will also tap into Kalshi’s feeds. The network says the data will help build charts and visual explainers, add context to stories, and support coverage focused on how expectations shift over time in US politics and other news areas.
“It’s because of this accuracy that Kalshi’s data will serve as a powerful complement to CNN’s reporting”, reads the statement.
Polymarket, Kalshi’s biggest rival, made some moves into the mainstream as well by partnering with Yahoo Finance, basically doing the same, bringing prediction market data for millions of users.
Notably, Kalshi recently closed a US$1 billion (AU$1.53 billion) funding round led by Paradigm, Andreessen Horowitz, and CapitalG, valuing the company at about US$11 billion (AU$16.83 billion), as per a press release.
Not all is sunshine and rainbows, as the betting giant was recently hit with a class action in New York accusing it of running an unlicensed sports betting platform.
Read more: Study Finds One-Quarter of Polymarket Trading May Be Artificial
The post CNN Partners With Prediction Market Kalshi to Bring Real-Time Probabilities Into Its Reporting appeared first on Crypto News Australia.

Brazil’s largest private bank says Bitcoin can improve portfolio diversificat

