Peak: Secrets from the New Science of Expertise

Peak: Secrets from the New Science of Expertise is a 2016 science book by psychologist K. Anders Ericsson and science writer Robert Pool. The book summarizes the findings of Ericsson's 30-year research into the general nature and acquisition of expertise.

Peak: Secrets from the New Science of Expertise
AuthorK. Anders Ericsson, Robert Pool
CountryUnited States
GenreScience, non-fiction, psychology
PublisherEamon Dolan/Houghton Mifflin Harcourt

Intended for a lay audience, Peak is an expository book on deliberate practice, a term coined by Ericsson to refer to the specific learning method used by experts to achieve superior performance in their fields, and mental representations. The book was written partly as a response to the misrepresented but increasingly commonplace idea of the "10,000-hour rule," popularized by Malcolm Gladwell in his 2008 book Outliers and which Gladwell had based on Ericsson's own research. In this regard, Ericsson also published an excerpt from this book in Salon titled "Malcolm Gladwell got us wrong: Our research was key to the 10,000-hour rule, but here’s what got oversimplified".[1]

A website dedicated to the book was launched in 2016.


The central theme of this book is the concept of deliberate practice, and the authors spend a significant part of the book laying out the differences between deliberate practice and related types of practice, such as purposeful practice, another highly efficient method of learning. Key to these discussions is the idea of mental representations, which are an encoding of external reality within the physiology of neurons. Strong mental representations are regarded by the authors as the essential component of expertise and superior performance in general, and consequently, very little time is wasted on discussions about intelligence quotient or the nature-versus-nurture debate. Since mental representations are acquired throughout the life of an individual, they can be learned. Deliberate practice thus sets out to study and enlist the principles of the kind of learning that produces strong, refined mental representations.