Steven Levitt is a tenured professor in the University of Chicago's economics department (he received tenure after only two years) and was the 2003 recipient of the American Economic Association’s prestigious John Bates Clark Medal, given to the country's best economist under 40.
Steven is co-author of the New York Times bestselling Freakonomics series, published in 2005, which instantly became a cultural phenomenon. Hailed by critics and readers alike, it went on to spend more than eight years on The New York Times bestseller list, having sold more than seven million copies around the world, in more than 40 countries. Steven and his co-author Stephen Dubner have appeared widely on television and maintain the popular Freakonomics blog, which can be found on The New York Times website. Through forceful storytelling and wry insight, Steven shows how economics is, at root, the study of incentives— that is, how people get what they want, or need, especially when other people want or need the same thing. Freakonomics showed that the modern world, despite a great deal of complexity and downright deceit, is not impenetrable, is not unknowable, and—if the right questions are asked—is even more intriguing than we think. All it takes is a new way of looking.
A book that was even bolder, funnier, and more surprising than the first, SuperFreakonomics retained that off-kilter sensibility, but also tackled a host of issues at the very center of modern society: terrorism, global warming, altruism, and more. Released in October 2010, the illustrated edition of SuperFreakonomics employed photographs, drawings, and graphs that led readers to see the world in a bold, fresh way.
Steven’s third book with Dubner, Think Like A Freak, was released in May 2014 and also became an instant New York Times bestseller. Their latest book is called When To Rob A Bank and was released in May 2015.
Steven has an enormous curiosity and is set on course by personal experiences and the incongruities he sees in everyday life. He is an intuitionist. He sifts through a pile of data to find a story that no one else has found and devises ways to measure an effect that veteran economists have declared un-measurable.