Key Highlights
- CNN will use Kalshi’s live prediction data to track events, offering faster insights into politics, culture, and the economy.
- Kalshi expands into blockchain, letting users trade predictions on-chain while linking traditional off-chain markets into one system.
- Real-time market probabilities can help journalists spot trends and shifts, offering data-driven context beyond traditional polls.
American media company CNN has partnered with Kalshi, a federally regulated prediction market where users trade on real-world events. The collaboration will give CNN access to live probabilities for political, cultural, and economic developments.
As a result, CNN can provide viewers with more timely insights than traditional polls or analysis. On Kalshi, users trade predictions on everything from elections to the weather, giving a practical, data-driven way to see what might happen next.
Kalshi announced the integration, emphasizing the partnership’s potential to reshape news reporting. The prediction market has gained attention for its high accuracy, famously predicting the New York City mayoral election just eight minutes after polls closed.
This precision makes its data a valuable complement to CNN’s journalism. “Kalshi is replacing debate, subjectivity, and talk with markets, accuracy, and truth,” said Tarek Mansour, CEO of Kalshi. “It’s hard to have an opinion about the future today without thinking about Kalshi.”
CNN leverages real-time market data
The integration brings multiple enhancements to CNN’s programming. Journalists, led by Chief Data Analyst Harry Enten, can now access real-time prediction market data to enhance reporting and fact-check information. A new Kalshi-powered ticker will run during relevant segments, displaying live probabilities and market movements.
In exchange, CNN’s newsroom, production, and data teams will have access to Kalshi’s datasets of political content, news, and culturally relevant information to build out its visuals and storylines, enabling it to make more knowledgeable and data-driven coverage.
Harry Enten mentioned some tangential uses on X: presidential real-time market odds might indicate changes in the political firmament. He cited Tennessee’s TN-07 House race, for instance, as a red flag to Republicans for this November. That way, it will analyze these probabilities, allowing CNN to lead its viewers to an early sight of an electoral direction not captured by conventional polling methods.
Kalshi expands into crypto markets
Besides the CNN collaboration, Kalshi has recently ventured into blockchain. The platform now offers tokenized event contracts on the Solana network. These contracts allow users to trade predictions directly on-chain while linking traditional off-chain trades into a single liquidity pool.
“The ultimate moat for any exchange is liquidity,” said John Wang, Kalshi’s Head of Crypto. “Kalshi is the only prediction market in the world that aggregates on-chain and off-chain, U.S. and international, into one giant liquidity pool.”
This integration enhances privacy for traders while maintaining the standard binary structure: each contract pays $1 if the event occurs and $0 if it does not. DeFi platforms like DFlow and Jupiter facilitate institutional connections between off-chain and on-chain trades.
Additionally, reports suggest Coinbase is developing its own prediction market platform in partnership with Kalshi. Kalshi also recently raised $1 billion in a funding round led by Paradigm, bringing its value to around $11 billion.
Investors like Sequoia Capital and CapitalG also joined. This money will help Kalshi grow its services in both traditional markets and blockchain. The company aims to provide reliable data that connects finance, media, and technology.
CNN teaming up with Kalshi shows how news is starting to use market data to predict events. With real-time probabilities, viewers can see what’s likely to happen faster and more clearly. At the same time, Kalshi’s move into blockchain shows prediction markets are changing, blending traditional finance with crypto. This partnership could make news reporting more data-driven and practical for understanding future events.
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