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Prediction markets can work without money on the line: Servan-Schreiber in Bloomberg Opinion
In a Bloomberg Opinion essay on 8 July 2026, Émile Servan-Schreiber revisited a 2003 wager with Justin Wolfers over French and California wine. The bet became a study showing that play-money and real-money markets forecast American football equally well, and he argued that design, not money, drives accuracy.
“Supercollective Intelligence”: Servan-Schreiber’s 2018 book on crowds and prediction markets comes out in English
The English edition of Émile Servan-Schreiber’s “Supercollectif” is now on Amazon. He argues that ChatGPT and the rise of Polymarket since 2018 support, rather than overturn, the book’s case.
“The readership is an intelligence asset”: Servan-Schreiber in Agenda Pública on crowds, AI and the press
In a March 2026 interview with Agenda Pública, Émile Servan-Schreiber argued that prediction markets beat polls on method, that AI now forecasts as well as a smart crowd, and that newspapers have wasted what their readers know.
Hypermind and beBartlet bring prediction markets to European strategic consulting
At Mobile World Congress in Barcelona on 4 March 2026, Hypermind and the Spanish public-affairs consultancy beBartlet announced an exclusive alliance to use crowd forecasting and prediction markets in strategic advice across Europe.
On B SMART, Servan-Schreiber Explains Why a Panel of AI Models Can Forecast Like a Panel of Experts
On B SMART’s Smart Tech on 2 March 2026, Émile Servan-Schreiber told Delphine Sabattier how The Forecasting Machine combines several language models into one sourced forecast, and why he sees those models as collective intelligence in their own right.
How the OECD’s foresight unit fits crowd and AI forecasting into policy planning
From a Paris meeting of government foresight teams in October 2025 to an EU expert hearing in January 2026, the OECD’s Strategic Foresight Unit has set out where Glimt and The Forecasting Machine fit, and where they don’t.
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.
Glimt opens to the public: Sweden’s crowd-forecasting platform for Ukraine
On 20 January 2025, FOI opened Glimt, a free platform where volunteers forecast the war, politics and economy questions that Ukrainian analysts worry about, using Hypermind’s technology. Within five weeks it had more than 10,000 forecasters.
Le Point and Hypermind launch the Institut Supercollectif, a forecasting panel of magazine readers
In June 2021 the French newsweekly Le Point and Hypermind opened a joint forecasting institute that turns readers’ predictions on politics, geopolitics, science and the economy into probabilities, and later offered them to businesses and governments.
Crowd forecasts of COVID-19 reach the US Congress, March 2020
On 5 March 2020, Johns Hopkins researcher Tara Kirk Sell told a House committee about a disease-prediction platform built with Hypermind. In the weeks that followed, Hypermind published public COVID-19 forecasts and co-ran a teaching contest, and Émile Servan-Schreiber argued for a French prediction market on health policy.
