TIP175: SHANE PARRISH

ON BUFFETT, DALIO, & LEARNING

27 January 2018

On today’s show, Preston and Stig talk to renown investment blogger, Shane Parrish. Shane is a Buffett style investor that reads and studies everything about the markets. On today’s show Preston and Stig talk to Shane about learning and optimizing one’s life. He also discusses his opinions on the difference between Ray Dalio and Warren Buffett’s investing approach.

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IN THIS EPISODE, YOU’LL LEARN:

  • How Shane thinks about learning new things.
  • What mental models are.
  • Shane’s opinions on Ray Dalio and Warren Buffett.
  • What books Shane values.

TRANSCRIPT

Disclaimer: The transcript that follows has been generated using artificial intelligence. We strive to be as accurate as possible, but minor errors and slightly off timestamps may be present due to platform differences.

Preston Pysh  0:02  

So on today’s show, we have a guest that I highly admire and have followed for quite a few years now. For anyone coming out of the value investing community, you’ll definitely recognize the name Shane Parrish. 

Shane is a highly read blogger that gets millions of views and has over 160,000 subscribers. He shares his insights on business investing and just good ideas on how to become a better version of yourself. 

One of the things that Shane is best known for is reading. And I mean, really reading. A lot of what we’re talking about has to do with how you can get more out of the way you read, the way you think, and the way that you can optimize your own life. So I hope you guys enjoy our discussion with the astute and kind Shane Parrish.

Intro  0:49  

You are listening to The Investor’s Podcast where we study the financial markets and read the books that influenced self-made billionaires the most. We keep you informed and prepared for the unexpected.

Preston Pysh  1:10  

All right, I am really excited about this episode here because we have Shane Parrish with us. And Shane, as a hardcore Warren Buffett fan and just really an all around investor, it is really exciting to talk to you because I’ve been reading your posts for such a long time now. So to have you here with us, we’re really honored to have you. So thanks for taking time out of your day to be with us.

Shane Parrish  1:34  

It’s an honor to be here. Thanks for having me.

Preston Pysh  1:36  

So this is what I think if I had to put Shane Parrish into just like a little snippet of three words, it would be this total learning machine. All right. I guess my first question for you is how did you become this way? And were you like this when you were younger?

Shane Parrish  1:57  

Oh, no, man. I was a… Most people don’t know this, but I was a straight D student until grade 10. Okay, I don’t think I literally had a grade above D until grade 10. I was never, never really excited about learning, right? I was always hanging around with the wrong people or with the wrong crowd. My parents were in the military. So I was a military brat moving, you know, city to city every year. I had a new city, had to make new friends. 

Then, in grade 10, my peer group changed and the expectation became that not only could you have fun, but you also had to get good grades. It was all of my friends that I was hanging around that got me into this good grade thing. 

And I said, “Okay, well, you can still have fun and get good grades.” That kind of led to university and expectation of university. At that point, I still wasn’t super interested in learning things I didn’t have to learn. It wasn’t till I got out of the work or got into the workforce… 

After graduating with a Bachelor of Computer Science, I went to work for an intelligence agency. That was where I really kind of like kicked into this thing, which was I noticed that I was spending more and more of my time fixing problems that I was creating myself. I wanted to avoid that and one of the ways to avoid that is through kind of intelligent preparation and learning things in advance of needing them and not trying to learn them the time when you need them. Then refining them and trying to learn things that don’t change over time so that you can apply them to a wide variety of situations.

No, I wasn’t, I don’t even… I wouldn’t consider myself a learning machine now to the extent that I am, it’s born from that sort of background.

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