Alex Keeney says prediction markets normally aggregate polls, fundraising and news into a fast signal. In 2026, qualitative and quantitative signals are so similar that markets mostly echo conventional wisdom. That removes the contrarian, spicy edge traders expected from past cycles, when markets diverged from consensus.

Prediction markets like Kalshi are more accurate than traditional polling because they reflect where people are willing to risk their own money. This 'wisdom of crowds' with skin in the game is a more reliable predictor of outcomes like elections or Federal Reserve rate decisions.

The true value of prediction markets lies beyond speculation. By requiring "skin in the game," they aggregate the wisdom of crowds into a reliable forecasting tool, creating a source of truth that is more accurate than traditional polling. The trading is the work that produces the information.

The financial stakes in prediction markets create a powerful incentive for aggregating accurate information quickly, often outpacing traditional journalism for forecasting political or economic outcomes. This reflects a fundamental shift in how truth and information are discovered and valued.

Rather than killing polling, prediction markets make it better. By creating a tradeable market around outcomes, they introduce a strong financial incentive for pollsters and campaigns to be accurate. This shifts focus from commissioning polls that confirm biases to producing data that can actually win trades, improving information quality.

Contrary to the narrative that prediction markets make polling obsolete, they heavily rely on polling data as a fundamental input. Without polls, these markets would be based on "vibes and fundraising numbers," lacking a crucial data-driven foundation.

The financialization of everything, particularly through prediction markets, is defined as "the absence of politics." Instead of relying on trust in experts (politics), these markets force participants to put money where their mouth is, creating an objective measure of confidence based on liquidity at risk.

While praised for aggregating the 'wisdom of crowds,' prediction markets create massive, unregulated opportunities for insider trading. Foreign entities are also using these platforms to place large bets, potentially to manipulate public perception and influence political outcomes.

Analysis shows prediction market accuracy jumps to 95% in the final hours before an event. The financial incentives for participants mean these markets aggregate expert knowledge and signal outcomes before they are widely reported, acting as a truth-finding mechanism.