When he was 24, J. Doyne Farmer walked into a casino with a hidden computer he had built himself. It was a digital computer he could use while walking, which he intended to use to demonstrate that physics allowed one to predict the roulette wheel's movements. "It was an adventure, and I did it because I like doing things that people think are impossible," he says. However, there was a second reason: he was a very poor graduate student and wanted to make money. He only partially succeeded: he was able to prove that it's possible to predict which number will come up, but he didn't become rich. Born in 1952 in the United States, Farmer trained as a physicist and is one of the founders of the Complex Systems group at Los Alamos National Laboratory, the laboratory that brought together physicists, biologists, and economists to rethink how complex systems work, and the same center where atomic bombs were produced during World War II. An expert in chaos theory, he is a pioneer in computational prediction. He advocates applying to economics the same tools that physics uses to understand hurricanes, ecosystems, or turbulence. He was the founder of Prediction Company. He is currently the director of the complexity economics program at the Institute for New Economic Thinking at the University of Oxford. Farmer argues that, while he was able to predict roulette wheel movements and models can be created to try to understand the financial market and improve economic models, we cannot move through time, nor is it predictable or predetermined.