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Produktbild: Solve for Happy | Mo Gawdat
Produktbild: Solve for Happy | Mo Gawdat

Solve for Happy

Engineer Your Path to Joy

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In this "powerful personal story woven with a rich analysis of what we all seek" (Sergey Brin, cofounder of Google), Mo Gawdat, Chief Business Officer at Google's [X], applies his superior logic and problem solving skills to understand how the brain processes joy and sadness and 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. After the sudden death of his son, Ali, Mo and his family turned to his equation and it saved them from despair. In dealing with the horrible loss, Mo found his mission: he would pull off the type of "moonshot" goal that he and his colleagues were always aiming for he would share his equation with the world and help as many people as possible become happier.

In Solve for Happy Mo questions some of the most fundamental aspects of our existence, shares the underlying reasons for suffering, and plots out a step-by-step process for achieving lifelong happiness and enduring contentment. He shows us how to view life through a clear lens, teaching us how to dispel the illusions that cloud our thinking; overcome the brain's blind spots; and embrace five ultimate truths.

No matter what obstacles we face, what burdens we bear, what trials we've experienced, we can all be content with our present situation and optimistic about the future.

Produktdetails

Erscheinungsdatum
21. März 2017
Sprache
englisch
Untertitel
Engineer Your Path to Joy. Sprache: Englisch.
Seitenanzahl
368
Dateigröße
10,22 MB
Autor/Autorin
Mo Gawdat
Verlag/Hersteller
Kopierschutz
mit Adobe-DRM-Kopierschutz
Family Sharing
Ja
Produktart
EBOOK
Dateiformat
EPUB
ISBN
9781501157592

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