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Analysts should be cautious about early French presidential polling. A review of the last six elections reveals that polls taken 12 months before the vote were wrong half the time, often failing to predict a candidate who would even make it to the final runoff. This historical unreliability suggests today's front-runners are far from guaranteed.

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Events become viral memes that dominate attention for about 2.5 days before a new "current thing" replaces them. This rapid, emotionally charged cycle makes long-term political forecasting impossible, as an election will turn on the meme of that day, not on past events.

Given the unreliability of polling, markets will wait for tangible results before reacting. The composition of congress will be the first concrete signal, with a divided or right-leaning legislature seen as a positive check on executive power. This could trigger currency rallies well before the final presidential outcome is known.

France's fragmented political center lacks a formal process to select a single candidate to oppose the populist right. As a result, public opinion polls are becoming the unofficial sorting mechanism. The candidate who consistently performs best in polls will likely emerge as the consensus choice, effectively making polling the primary system.

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.

While framed as a "wisdom of the crowds" tool, prediction markets can be easily manipulated. Wealthy individuals or campaigns can place large bets to create a perception of momentum or inevitability, effectively using the market as a propaganda vehicle to influence public opinion rather than simply reflect it.

While Italy has historically been a focus for political risk, the current stable government has reduced near-term concerns. The primary political risk now centers on France, where noise around the early 2027 presidential election is expected to pressure French government bond spreads in late 2026.

The forecasting model deliberately excludes all data on specific races, including polls, until both major party nominees are officially chosen. This prevents the model from being skewed by the volatility of primary campaigns, ensuring it only analyzes confirmed general election matchups for greater reliability.

History shows that being a presidential front-runner this far from an election is a poor indicator of success. Past leaders in the polls at this stage, like Rudy Giuliani or Fred Thompson, often failed to win, while lesser-known figures emerged later. The primary process itself is what forges the strongest candidate for the moment.

Using AI models to simulate voter responses isn't a replacement for traditional polling. These AI personas are trained on existing polling data, making their outputs a less reliable, second-hand interpretation rather than a source of new, authentic public opinion.