Luck isn’t magic—it’s math, mindset, and messy human behavior. Can You Learn to Be Lucky? blends behavioral science, psychology, and storytelling to answer one question: why do some people seem to win more often than others?
Drawing from years of research and real-world experiments, I uncover how optimism, risk-taking, and social connection turn randomness into opportunity. This isn’t about superstition or positive thinking. It’s about building a luck-ready life: noticing patterns, taking intelligent bets, and creating environments where serendipity can find you.
The book has been featured in outlets from Fast Company to Forbes for its surprising, data-driven take on chance. Readers come away realizing that luck isn’t handed out—it’s cultivated. And, yes, you can get better at it.
We live in a world of big data, but the human brain is terrible at big numbers (or any numbers, really). Making Numbers Count is a handbook on the art and science of translating abstract data into meaning that sticks. Through hundreds of examples—from billion-dollar budgets to the calories in a cheeseburger—we show how to turn complexity into clarity using vivid comparisons, analogies, and storytelling.
Because Chip Heath and I aren't delusional, our goal wasn’t to make people love math. It was to help leaders, communicators, and educators make people understand what numbers mean. Period.
The book became a go-to resource for data storytellers, nonprofits, and Fortune 500 teams trying to make metrics memorable. Because in the end, no one remembers “7.8 billion.” But they do remember “everyone on Earth standing shoulder to shoulder around the equator twenty times.”
How to Human in a Post-Truth World
Big Idea / Positioning
A field guide for surviving reality distortion, attention collapse, and emotional burnout—not through bunker-building, but through re-humaning: clarity, adaptability, empathy, and meaning-making when nothing makes sense.
Think: The Artist’s Way meets The Road, but funny.
