In September 2023, Sophie Frantz and Laure Dumont devoted an episode of Les Intelligences Collectives to Émile Servan-Schreiber’s book Supercollectif. They then invited its author to discuss how his thinking had developed since the book’s 2018 publication. A further post, reshared by Servan-Schreiber on 10 September 2024, shows the conversation continuing a year later.
First the book, then the author
The official page for episode 52 dates the book discussion to 13 September 2023 and lists a duration of 47 minutes. Frantz’s announcement, shared by Servan-Schreiber on 20 September, traced the collaboration to a question Dumont had asked in May: how could practitioners measure the effects of collaborative methods? The book offered them a scientific vocabulary for experiences that can otherwise remain abstract.
Their discussion covered group intelligence, diversity, crowd estimation and the book’s four ingredients for organising collective intelligence. The official listing directed listeners to episode 53 for a conversation with the author. Spotify dates that interview to 30 September 2023; Servan-Schreiber shared Frantz’s announcement on 6 October.
The interview announcement set out a broader agenda: prediction markets, the characteristics of superforecasters, leadership in organisations seeking greater autonomy, and the implications of artificial intelligence. It also promised a discussion of changes in Servan-Schreiber’s ideas over five years.
A recipe revisited in 2024
Frantz’s September 2024 recap emphasised three ingredients: freedom to think independently, diversity of opinion and an objective way to combine contributions. She described independence as protection against pressure and conformity, diversity as a way to address individual blind spots, and aggregation as the step that turns separate views into a collective answer.
That three-part recap should not be mistaken for a new edition of the book’s four-part recipe. It was a host’s practical summary of the conversation. Our article on the English edition of Supercollectif covers the book itself.
For forecasting, the podcast’s useful question is the one that started the exchange: how do we know whether a collective method works? Prediction markets and scored forecasting exercises supply answers that can eventually be compared with outcomes. The podcast connects the hosts’ practical experience with a method whose results can be checked over time.
