Case study

2027 Polls

Poll comparator for the 2027 presidential election.

Weighted average of published polls, with margin of error. No forecast.

Edition of October 20, 2026
27 polls included, 7 active pollsters out of 10 tracked. Page in French.
Technologies and topics
  • Polls
  • Weighted average
  • 2027 presidential election
  • AI agents

The project

A comparator of voting-intention polls for the 2027 French presidential election. It calculates a weighted average of published polls, with a margin of error. It makes no forecast.

What the page shows

  • A ranking of the candidates, under two hypotheses of candidacies.
  • A page for each candidate.
  • Second-round matchups.
  • Month-by-month trends, for each hypothesis.
  • An explanation of how to read the score and how it is calculated.

How I work

I define the product and I decide; AI agents write the code. The code is written by AI agents; it is not hand-written code.

Current status

Edition of October 20, 2026: 27 polls included, 7 active pollsters out of 10 tracked, most recent poll from October 19, 2026. The page is in French only.

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