Why Generalists Triumph in a Specialized World

Motley Fool Hidden Gems Investing

The Motley Fool

Investing, Business

4.3 • 3.1K Ratings

🗓️ 5 July 2019

⏱️ 39 minutes

🔗️ Recording | iTunes | RSS

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Summary

What can parents learn from the success of tennis star Roger Federer? When is grit a problem? Should travel soccer get the boot? What’s the best predictor of success in the business world? Is it better to be a frog or bird? And what should every graduate know about the road ahead? On this week’s show, we explore those questions and more with David Epstein, author of the New York Times bestseller Range: Why Generalists Triumph in a Specialized World. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0	This episode of Motley Full Money is brought to you by TD Ameritrade.
0:02.9	Investing lesson number one, don't pay for lessons.
0:06.1	TD Ameritrade's education is free.
0:08.4	Choose from articles, videos, webcasts, and more.
0:11.0	Everything you need to take your trading to the next level.
0:13.7	Visit TD Ameritrade.com slash education.
0:17.0	Remember SIPC.
0:18.3	Everybody needs money.
0:25.3	That's why they call it money.
0:34.3	From full global headquarters, this is Motley Full Money.
0:37.6	It's the Motley Full Money Radio Show.
0:39.0	I'm Chris Helf.
0:40.0	Thank you so much for listening and I hope you're enjoying the Independence Day holiday weekend.
0:44.8	Something a little different for this week's show.
0:46.3	It's a conversation with bestselling author David Epstein.
0:49.6	He recently joined me in front of a live audience at our annual full-fest investing conference.
0:55.2	David Epstein has master's degrees in environmental science and journalism.
1:00.2	He's been a senior writer for Sports Illustrated and he's the author of the New York Times
1:04.3	Best Seller, The Sports Gene.
1:06.6	His new book is Ranged, Why Generalist Triumph in a Specialized World.
1:12.0	During our time on stage we discussed a wide range of topics including Tiger Woods, Roger
1:17.2	Federer, True Learning, and the case for inefficiency.
	...

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