Happy Ever After

Happy Ever After

by Paul Dolan
Epub (Kobo), Epub (Adobe)
Publication Date: 17/01/2019

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**'A passionate, provocative book. It isn't just a self-help book. It is a manifesto for a better society' Sunday Times


'One of the most rigorous articulations of the new mood of acceptance...a persuasive demolition of many of our cultural stories about how we ought to live' Oliver Burkeman, Guardian


Paul Dolan, the bestselling author of Happiness by Design, shows us how to escape the myth of perfection and find our own route to happiness.**


Be ambitious; find everlasting love; look after your health ... There are countless stories about how we ought to live our lives. These narratives can make our lives easier, and they might sometimes make us happier too. But they can also trap us and those around us.


In Happy Ever After, bestselling happiness expert Professor Paul Dolan draws on a variety of studies ranging over wellbeing, inequality and discrimination to bust the common myths about our sources of happiness. He shows that there can be many unexpected paths to lasting fulfilment. Some of these might involve not going into higher education, choosing not to marry, rewarding acts rooted in self-interest and caring a little less about living forever.


By freeing ourselves from the myth of the perfect life, we might each find a life worth living.

ISBN:
9780241284452
9780241284452
Category:
Popular psychology
Format:
Epub (Kobo), Epub (Adobe)
Publication Date:
17-01-2019
Language:
English
Publisher:
Penguin Books Ltd
Paul Dolan

Paul Dolan is an internationally renowned expert on happiness, behaviour, and public policy. He is currently a Professor of Behavioural Science at the London School of Economics. He has been a visiting research scholar at Princeton University, where he worked closely with Daniel Kahneman. Among various other roles, he is a member of the US National Academy of Sciences Panel on measuring national well-being, a member of the National Wellbeing Advisory Forum for the Office for National Statistics in the UK, and is Chief Academic Advisor to the UK Government on how policymakers should value the impact of goods that are hard to measure, like health.

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