The equation for happiness

15 May 2017

Despite his success, Chief Business Officer for Google [x] Mo Gawdat found himself desperately unhappy. So he decided to find the equation for happiness.


Solve For Happy

Solve For Happy

In 2001, Mo Gawdat, a remarkable thinker whose gifts had landed him top positions in half a dozen companies and who - in his spare time - had created significant wealth, realized that he was desperately unhappy. A lifelong learner, he attacked the problem as an engineer would, examining all the provable facts and scrupulously following logic. When he was finished, he had discovered the equation for enduring happiness.

One of Solve for Happy's key premises is that happiness is a default state. If we shape expectations to acknowledge the full range of possible events, unhappiness is on its way to being defeated. To steer clear of unhappiness traps, we must dispel the six illusions that cloud our thinking (e.g., the illusion of time, of control, and of fear); overcome the brain's seven deadly defects (e.g., the tendency to exaggerate, label, and filter), and embrace five ultimate truths (e.g., change is real, now is real, unconditional love is real).

Out now in Paperback, and as an Ebook and Audiobook.

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