FORAXION TIMESOCTOBER 2026

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2026-01-20The Forecasting Machine

Hugo, Galton and the clues a crowd can put together

Victor Hugo’s prose, Galton’s ox-weight study and a submarine-search account illustrate different ways of assembling scattered information.

2026-01-15The Forecasting Machine

Hypermind’s Insurrection Act forecast: two snapshots of a long-running risk

Two archived Hypermind charts put the risk of Trump invoking the Insurrection Act near one in two, with a deadline in 2029. The market question and the political warning deserve separate readings.

2026-01-13The Forecasting Machine

Powell would finish his term: Hypermind’s 87% call in January 2026

An archived Hypermind chart put Jerome Powell’s chance of completing his term as Federal Reserve chair at 87.0%. The forecast concerned tenure, rather than the outcome of a criminal investigation.

2026-01-13The Forecasting Machine

The collective-intelligence handbook: from open access to institutional readers

A 2023 handbook brought crowd forecasting into a wider account of democratic governance. Its editors later reported growing downloads and institutional interest.

2026-01-01The Forecasting Machine

Eleven and a half years of Hypermind forecasts: does a 70% price come true 70% of the time?

Émile Servan-Schreiber recomputed the calibration of the Hypermind prediction market over 1,041 questions resolved from 2014 to the end of 2025. Here is what calibration means and how the result compares with earlier snapshots.

2025-12-21The Forecasting Machine

What Mallat and Guadalupe saw in Supercollectif: ensembles and decisions

At a November 2018 Institut Sapiens presentation, Stéphane Mallat and Maria Guadalupe approached Supercollectif from different disciplines. Their responses shared a concern with how intelligence is organised.

2025-11-06The Forecasting Machine

LLM narratives and macroeconomic data: the Murex research proposal Émile shared

In November 2025, a proposed Murex doctorate combined narrative monitoring with market and macroeconomic data. Émile shared the invitation, not a finished forecasting result.

2025-10-17The Forecasting Machine

UM6P makes collective-intelligence education a certificate-by-certificate pathway

UM6P’s professional education in collective intelligence expanded from a 2024 Executive Master intake to modular certificates announced for January 2026.

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.

2025-10-03The Forecasting Machine

Three early questions for The Forecasting Machine, a year on: the shutdown, the Trump coin and late-night TV

In its first weeks, The Forecasting Machine was asked how long the 2025 US shutdown would last, whether a Trump dollar coin would be minted and which talk-show host would be cancelled next. Here is how its reasoning held up.

2025-09-30The Forecasting Machine

Superforecasting at ten, and the “proven forecasters” NewsFutures spotted in 2006

Ten years after Tetlock and Gardner’s Superforecasting, Émile Servan-Schreiber dug out a 2006 NewsFutures market in which the previous quarter’s best forecasters beat the crowd. Why the idea took a decade to be recognised, and where AI fits now.

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