FORAXION TIMESNOVEMBER 2026

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2026-10-08The Forecasting Machine

The Forecasting Machine Partners With Institut Montaigne on France’s 2027 Policy Choices

Institut Montaigne’s Les repères de Montaigne programme will use The Forecasting Machine’s probabilities to examine priority government actions after the 2027 election. The contribution belongs to the forthcoming 25th note, on the opening months of the next term.

2026-10-03The Forecasting Machine

Which 2027 Candidate Will Talk Digital Best? The Forecasting Machine’s First Campaign Forecasts on POL/N

On Delphine Sabattier’s POL/N podcast, Émile Servan-Schreiber presented The Forecasting Machine’s first forecasts on digital issues in France’s 2027 presidential race, from AI’s likely effect on the vote to Europe’s best chance of a real technology race, and debated them with Bernard Benhamou of the Institut de la souveraineté numérique.

2026-09-22The Forecasting Machine

Polls, Prediction Markets or AI? Servan-Schreiber and Verian’s Laure Salvaing on Reading France’s 2027 Election

In an Atlantico cross-interview, Émile Servan-Schreiber and pollster Laure Salvaing disagreed on what prediction markets measure and whether AI-simulated voters can replace real ones. A B SMART interview the same month added his view that, for forecasting at scale, AI has already won.

2026-08-02The Forecasting Machine

France 2027 on the Hypermind Market: How the Odds Moved Between Summer 2025 and Summer 2026

A year of Hypermind forecasts on the 2027 French presidential election, read as a market snapshot rather than a prediction: the RN’s combined chances rose, the “someone else” option shrank, and Édouard Philippe consolidated his position on the centre-right.

2026-07-29The Forecasting Machine

L’Express Interviews Émile Servan-Schreiber on Polymarket and Money-Free Forecasting

Days after France blocked Polymarket, L’Express interviewed Émile Servan-Schreiber, who argues that cash wagering is not what makes a crowd forecast accurate—and who described The Forecasting Machine’s all-AI system to the paper.

2025-10-11The Forecasting Machine

From a royal audience to French readers: Glimt’s public reception in 2025

Glimt’s first year brought a royal unveiling, ministerial encouragement, an EU presentation and French recruitment—and a debate about whether ordinary citizens can forecast strategically.

2025-10-10The Forecasting Machine

Glimt in Paris: interim results at the Swedish Embassy, then the French press

On 7 October 2025, FOI and Hypermind presented Glimt’s interim record at the Swedish Embassy in Paris: 71% of outcomes called correctly across 31 resolved questions. Le Figaro and France 24 covered the project two weeks later.

2024-08-21The Forecasting Machine

The other candidate: what Hypermind’s 2024 Matignon market missed

Hypermind’s crowd favoured an unnamed successor to Gabriel Attal in August 2024. Michel Barnier, already listed at low odds, was appointed on 5 September.

2022-07-13The Forecasting Machine

Collective intelligence at work: talks and workshops, 2019–2022

Archive notes trace collective-intelligence talks and workshops from coaching and corporate IT to HR, private equity and Leads France between 2019 and 2022.

2022-06-11The Forecasting Machine

Mélenchon at 3%, a presidential majority at 76.2%: Hypermind before the 2022 legislative election

Hypermind’s 11 June 2022 graphic gave Mélenchon a 3% chance of becoming prime minister before Bastille Day. Its companion government forecast was less successful.

2020-04-04The Forecasting Machine

From May to September: Hypermind’s school-reopening forecasts during France’s first lockdown

Two spring 2020 snapshots show a sharp change in Hypermind’s expected timing of France’s school reopening. The eventual phased return highlights why resolution criteria matter as much as the date bands.

2020-01-27The Forecasting Machine

Dati in the polls, Griveaux in the market: Paris’s January 2020 race

Hypermind’s Paris mayoral market gave Anne Hidalgo a 55.9% chance of winning on a chart shared on 27 January 2020. Its challenger ranking differed from first-round vote intentions, without creating a like-for-like accuracy test.

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