Solve for Happy by Mo Gawdat

Cover to Solve for Happy by Mo Gawdat

Solve for Happy, by Mo Gawdat, explores the quest for happiness. As the Chief Business Officer at Google [X], Gawdat brings a unique perspective to finding contentment, and he uses his engineering background to create an algorithm for happiness by means of scientific research and logic.

During his pursuit of happiness, Gawdat experienced tragedy in his own life. The death of his son, Ali, caused him to utilize his own equation. Throughout the book, Gawdat describes his experiences with overcoming the death of Ali, while maintaining his well-being and verifying his happiness equation.

Solve for Happy explores the notion that happiness happens when expectation meets reality. The book is broken down into sections that dig deeper into aspects of life—such as grand illusions, blind spots, and ultimate truths. Each section examines specific things that impede the pleasures of living and has practical advice for avoiding obstacles on the route to happiness.

If you like Solve for Happy, you might also enjoy other popular psychology books, including The Gifts of Imperfection, by Brene Brown, The Happiness Project, by Gretchen Rubin, and Thinking, Fast and Slow, by Daniel Kahneman.