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Unlike sportsbooks whose revenues equal customer losses and who ban winning bettors, exchanges charge transaction fees on trading volume. Kalshi actively desires winners because successful participants bring price competition and liquidity. Because an exchange facilitates peer-to-peer trades without taking directional risk, it avoids the sportsbooks' incentive to worsen odds or cap profitable users.

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Unlike gambling sites where revenue equals customer losses, Kalshi's exchange model takes a small fee on trades. This means they are incentivized to foster a healthy ecosystem with smart traders who create liquidity and improve the product's forecast accuracy, a fundamentally different business model.

Kalshi argues its market-based system for sports events is superior to traditional sportsbooks because anyone can be a price maker, not just a price taker. This results in better odds and a user win/loss ratio closer to 50/50, framing it as an equitable financial market rather than a house-always-wins model.

Kalshi architects a healthier marketplace by differentiating its fees. Liquidity providers, who take on risk by posting orders, receive lower fees. In contrast, traders who 'snipe' mispriced odds by taking liquidity pay higher fees. This incentivizes pro-social behaviors like maintaining a stable market.

The CEO distinguishes 'betting' from 'gambling.' He defines gambling not by the activity but by its structure: creating an artificial risk where the house has stacked odds. In contrast, trading on natural, pre-existing risks in a fair, market-based system is fundamentally different.

Over 95% of matched orders on Kalshi come from thousands of individuals and small shops, not large institutional market makers. These 'super forecasters' can price diverse, fast-moving markets (like politics or culture) far more dynamically than traditional firms, forming the true backbone of the exchange's liquidity.

Kalshi's lawsuit clarified the distinction between a financial market and gambling. It hinges on two points: 1) having an open, peer-to-peer market structure instead of a "house" that profits from customer losses, and 2) trading on naturally occurring events (like elections or weather) rather than artificially created risks (like a dice roll).

The business model of major sports betting apps like DraftKings is not a fair marketplace. These companies openly admit to using algorithms to identify and systematically limit or remove users who win too consistently, ensuring their profits are protected by a customer base of 'losers'.

With billions wagered on single events, sports betting platforms now operate at the scale of financial exchanges. This shifts the conversation from a consumer addiction story to a capital markets story, involving liquidity, data integrity, and the need for more sophisticated regulation.

While traditional sports betting is restricted in many areas, prediction markets like Kalshi are often regulated as commodity markets. This arbitrage allows them to legally offer wagering on sports outcomes in most states, effectively operating as back-door sportsbooks and reaching a national audience.

Legally, a prediction market is not gambling because it operates like an exchange where users trade contracts with each other via a clearinghouse. This differs structurally from gambling, where a user bets against "the house," which sets the odds and offers no secondary market liquidity to offset positions.