Solve for Happy is a startlingly original reserve on the subject of creating and maintaining happiness, written by a top Google executive with an engineer’s schooling and fondness for thoroughly analyzing a issue.

In 2001, Mo Gawdat, an extraordinary thinker whose gifts had landed him best positions in two a dozen companies and who – in his free time – had created significant wealth, understood that he was desperately unsatisfied. A lifelong learner, he attacked the issue as an engineer would, evaluating all of the about Solve For Happy: Engineer Your Path to Pleasure provable specifics and scrupulously following logic. When he was finished, he had found out the formula for enduring pleasure.

Ten years later on, that research kept him from despair when his college-aged child, Ali – also intellectually gifted – died during regular surgery. In working with the loss, Mo discovered his mission: he would pull off the sort of ‘moonshot’ that he and his Google [X] colleagues were always aiming for: he would help ten million people become happier by pouring his pleasure principles right into a book and spreading its message all over the world.

One of Solve for Happy’s key premises is that happiness is a default state. If we shape expectations to acknowledge the full selection of possible events, unhappiness is usually on its way to becoming defeated. To stay away from unhappiness traps, we should dispel the six illusions that cloud our thinking (e.g., the illusion of time, of control, and of fear); get over the brain’s seven dangerous problems (e.g., the inclination to exaggerate, label, and filter), and embrace five best truths (e.g., switch is real, now is real, unconditional like is genuine).

By means of several highly unique thought experiments, Mo helps readers find long lasting contentment by questioning some of the most fundamental aspects of their existence.