Quantifying Life: A Symbiosis of Computation, Mathematics, and Biology

Dmitry A. Kondrashov

Statistical Rethinking: A Bayesian Course with Examples in R and Stan

Richard McElreath

The Drunkard’s Walk: How Randomness Rules Our Lives

Leonard Mlodinow

Naked Statistics: Stripping The Dread From The Data

Charles Wheelan

Predictably Irrational: The Hidden Forces That Shape Our Decisions

Dan Ariely

Wild Minds: What Animals Really Think

Marc D. Hauser

Sapiens: A Brief History of Humankind

Yuval Noah Harari

Mathematics for the Life Sciences

Erin N. Bodine

Suzanne Lenhart

Louis J. Gross

Introduction To Scientific Programming and Simulation Using R

Owen Jones

Robert Maillardet

Andrew Robinson

Algorithms To Live By: The Computer Science Of Human Decisions

Brian Christian

Computational Modeling of Behavior in Organizations

Daniel R. Ilgen

Charles L. Hulin

The Invisible Gorilla: How Our Intuitions Deceive Us

Christopher Chabris

Daniel Simons

This Will Change Everything: Ideas That Will Shape The Future

Edited By John Brockman

Big Data: A Revolution That Will Transform How We Live, Work, and Think

Viktor Mayer-Schonberger

Kenneth Cukier

Scientific Reasoning: The Bayesian Approach

Colin Howson

Peter Urbach

Mindwise: How We Understand What Others Think, Believe, Feel, and Want

Nicholas Epley

Sex At Dawn: How We Mate, Why We Stay, and What It Means for Modern Relationships

Christopher Ryan

Cacilda Jetha

Made to Stick: Why Some Ideas Survive and Others Die

Chip Heath

Dan Heath

On Writing Well: The Classic Guide to Writing Nonfiction

William Zinsser

The Ball: Discovering the Object of the Game

John Fox

The Ravenous Brain: How The New Science of Consciousness Explains Our Insatiable Search For Meaning

Daniel Bor

Matrices and Society: Matrix Algebra and Its Applications in the Social Sciences

Ian Bradley

Ronald L. Meek

The Beginning Of Infinity: Explanations That Transform The World

David Deutsch

Mindsharing: The Art Of Crowdsourcing Everything

Lior Zoref

Doing Bayesian Data Analysis: A Tutorial with R, Jags, and Stan

John K. Kruschke

Homo Deus: A Brief History of Tomorrow

Yuval Noah Harari

The Moral Landscape: How Science Can Determine Human Values

Sam Harris

Work Motivation: Past, Present, and Future

Ruth Kanfer

Gilad Chen

Robert D. Pritchard

Randomization, Bootstrap, and Monte Carlo Methods in Biology

Bryan F.J. Manly


Steven D. Levitt

Stephen J. Dubner

Our Mathematical Universe: My Quest for the Ultimate Nature of Reality

Max Tegmark

Foundational and Applied Statistics for Biologists Using R

Ken A. Aho

Structural Equations With Latent Variables

Kenneth A. Bollen

Switch: How To Change Things When Change Is Hard

Chip Heath

Dan Heath

The Seven Pillars of Statistical Wisdom

Stephen M. Stigler

YaRrr: A Pirate’s Guide to R

Nathaniel D. Phillips

What Should We Be Worried About? Real Scenarios That Keep Scientists Up at Night

Edited by John Brockman

Stumbling on Happiness

Daniel Gilbert

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham

Garrett Grolemund

Brain Bugs: How The Brain’s Flaws Shape Our Lives

Dean Buonomano

The Empire of Chance: How Probability Changed Science and Everyday Life

Gerd Gigerenzer

Zeno Swijtink

Theodore Porter

Lorraine Daston

John Beatty

Lorenz Kruger

Ten Great Ideas About Chance

Persi Diaconis

Brian Skyrms

This Idea Must Die: Scientific Theories That Are Blocking Progress

Edited by John Brockman