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Solve for happy: engineer your path to joy
(Book)

Book Cover
Average Rating
Author:
Published:
New York : North Star Way, [2017].
Format:
Book
Physical Desc:
357 pages : illustrations ; 24 cm
Status:
Severna Park Library - Nonfiction has 2
158 G
Description

"Mo Gawdat is a remarkable thinker and the Chief Business Officer at Google's [X], an elite team of engineers that comprise Google's futuristic "dream factory." 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, "--Amazon.com.

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 horrible loss, Mo found his mission: he would share his equation with the world and help as many people as possible become happier. 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 how to dispel the illusions that cloud our thinking, overcome the brain's blind spots, and embrace five ultimate truths.--

Also in This Series
Copies
Location
Call Number
Status
Severna Park Library - Nonfiction
158 G
On Shelf
Severna Park Library - Nonfiction
158 G
On Shelf
More Like This
Other Editions and Formats
More Details
Language:
English
ISBN:
9781501157554 (hdc.) :, 1501157558 (hardcover)

Notes

Bibliography
Includes bibliographical references.
Description
"Mo Gawdat is a remarkable thinker and the Chief Business Officer at Google's [X], an elite team of engineers that comprise Google's futuristic "dream factory." 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, "--Amazon.com.
Description
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 horrible loss, Mo found his mission: he would share his equation with the world and help as many people as possible become happier. 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 how to dispel the illusions that cloud our thinking, overcome the brain's blind spots, and embrace five ultimate truths.--,from publisher.
Citations
APA Citation (style guide)

Gawdat, M. (2017). Solve for happy: engineer your path to joy. New York: North Star Way.

Chicago / Turabian - Author Date Citation (style guide)

Gawdat, Mo. 2017. Solve for Happy: Engineer Your Path to Joy. New York: North Star Way.

Chicago / Turabian - Humanities Citation (style guide)

Gawdat, Mo, Solve for Happy: Engineer Your Path to Joy. New York: North Star Way, 2017.

MLA Citation (style guide)

Gawdat, Mo. Solve for Happy: Engineer Your Path to Joy. New York: North Star Way, 2017. Print.

Note! Citation formats are based on standards as of July 2010. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
Staff View
Grouped Work ID:
bcaa8f35-8619-a0e2-5133-f46830a6ae3b
Go To GroupedWork

Record Information

Last File Modification TimeJul 16, 2021 04:35:10 AM
Last Grouped Work Modification TimeSep 17, 2021 04:15:59 AM

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