Book

Solve for Happy

368 pages · 2019 · Rating 2.0

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Takeaways
Description
Mo Gawdat is a remarkable thinker and the Chief Business Officer at Google’s X. Applying his superior skills of logic and problem-solving to the issue of happiness, he proposes an algorithm based on an understanding of how the brain takes in and processes joy and sadness. Then he solves for happy. In 2001 Mo Gawdat realized that despite his incredible success, he was desperately unhappy. A lifelong learner, he attacked the problem as an engineer would: examining all the provable facts and scrupulously applying logic. Eventually, his countless hours of research and science proved successful, and he discovered the equation for permanent happiness. Thirteen years later, Mo’s algorithm would be put to the ultimate test when his son Ali was diagnosed with cancer.

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