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E009: Find out How to Be Happier and More Successful in this Interview with Mo Gawdat

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Replaced by: Hey Change Podcast

When? This feed was archived on July 25, 2018 00:10 (5+ y ago). Last successful fetch was on July 24, 2018 23:12 (5+ y ago)

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Manage episode 180209023 series 1413434
Content provided by Anne Therese. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anne Therese or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Do you want to be one of 10 million happier people? What if I told you there’s a formula to be used to make sure you’re happy every single day? Like, no meditation or wishful thinking, but a scientifically proven system backed by numbers and facts? What if I told you you’re about to listen to the inventor of this very system, right now? Tune into this life-changing interview with Mo Gawdat, engineer at the "dream factory" at Google X and author of the book Solve for Happy, to reinvent how you think about and design your life. Who is Mo? 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. Links: If this episode made you happier - make sure to go to www.solveforhappy.com - to help Mo’s countdown to 10 million happier people! Want to receive emails from Mo? outreach@solveforhappy.com - Write title "email" Connect, interact and find out about new events facebook.com/solveforhappy
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40 episodes

Artwork
iconShare
 

Archived series ("HTTP Redirect" status)

Replaced by: Hey Change Podcast

When? This feed was archived on July 25, 2018 00:10 (5+ y ago). Last successful fetch was on July 24, 2018 23:12 (5+ y ago)

Why? HTTP Redirect status. The feed permanently redirected to another series.

What now? If you were subscribed to this series when it was replaced, you will now be subscribed to the replacement series. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 180209023 series 1413434
Content provided by Anne Therese. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anne Therese or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Do you want to be one of 10 million happier people? What if I told you there’s a formula to be used to make sure you’re happy every single day? Like, no meditation or wishful thinking, but a scientifically proven system backed by numbers and facts? What if I told you you’re about to listen to the inventor of this very system, right now? Tune into this life-changing interview with Mo Gawdat, engineer at the "dream factory" at Google X and author of the book Solve for Happy, to reinvent how you think about and design your life. Who is Mo? 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. Links: If this episode made you happier - make sure to go to www.solveforhappy.com - to help Mo’s countdown to 10 million happier people! Want to receive emails from Mo? outreach@solveforhappy.com - Write title "email" Connect, interact and find out about new events facebook.com/solveforhappy
  continue reading

40 episodes

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