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Cal Newport, Georgetown professor, and author of of So Good They Can’t Ignore, and Deep Work joins us to talk about how to produce work of real of value while training your ability to focus.
Just like a professional athlete is worried about they’re diet, I’m worried about sources of distraction.
If you can replicate something yourself, you can understand it so much better than if you just consumed it.
We put the cart before the horse when it comes passion.
You don’t follow passion, passion follows you.
Both our personal and professional lives are increasingly built around these sources of distraction. From a cognitive perspective, that’s like being an athlete who smokes.
So Good They Can’t Ignore You
Deep Work
How to Become a Straight-A Student
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Cal Newport is an Assistant Professor of Computer Science at Georgetown University, who specializes in the theory of distributed algorithms. He previously earned his Ph.D. from MIT in 2009 and graduated from Dartmouth College in 2004.
By Srinivas Rao4.8
975975 ratings
Cal Newport, Georgetown professor, and author of of So Good They Can’t Ignore, and Deep Work joins us to talk about how to produce work of real of value while training your ability to focus.
Just like a professional athlete is worried about they’re diet, I’m worried about sources of distraction.
If you can replicate something yourself, you can understand it so much better than if you just consumed it.
We put the cart before the horse when it comes passion.
You don’t follow passion, passion follows you.
Both our personal and professional lives are increasingly built around these sources of distraction. From a cognitive perspective, that’s like being an athlete who smokes.
So Good They Can’t Ignore You
Deep Work
How to Become a Straight-A Student
Hostgator: For 30% off on all hosting packages, visit Hostgator.com/creative and use the promo code “creative”
Truecar: Hassle-free Car Buying that guarantees you’ll never overpay
Cal Newport is an Assistant Professor of Computer Science at Georgetown University, who specializes in the theory of distributed algorithms. He previously earned his Ph.D. from MIT in 2009 and graduated from Dartmouth College in 2004.

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