WEBVTT - An Interview With Jason Zweig: Masters in Business (Audio)

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<v Speaker 1>This is Masters in Business with Barry Ridholds on Bloomberg Radio.

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<v Speaker 1>So I'm I'm really excited about this week's guest. Jason's Wige.

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<v Speaker 1>He is a reporter, columnist, author. UM. You probably know

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<v Speaker 1>his work as the Weekend Investor column in the Wall

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<v Speaker 1>Street Journal. I'm a big fan of some of his books,

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<v Speaker 1>including Your Money and Your Brain, which is one of

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<v Speaker 1>the earliest looks at neuroeconomics and neurofinance. He has a

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<v Speaker 1>book coming up, uh it's an updated version of inspired

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<v Speaker 1>by Ambrose Bierce's Devil's Dictionary. It's called The Devil's Financial Dictionary.

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<v Speaker 1>And we we talked about that. We talk a little

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<v Speaker 1>bit about journalism and what it's gonna be like going forward,

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<v Speaker 1>or the impact of social media, Twitter, etcetera. I've read

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<v Speaker 1>him for so many years and know his work for

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<v Speaker 1>for just so long. It was really interesting sitting down

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<v Speaker 1>and talking with him about his assess and who his

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<v Speaker 1>mentors and influences were, and what sort of advice he

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<v Speaker 1>would give to somebody in the in the finance world.

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<v Speaker 1>And I just found it to be really quite fascinating.

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<v Speaker 1>We probably went about ninety minutes, so given how long

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<v Speaker 1>that is. UM rather than me, Babil, Let me just

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<v Speaker 1>say here is my conversation with Jason's Why this is

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<v Speaker 1>Masters in Business with Barry Ridholds on Bloomberg Radio This

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<v Speaker 1>week on Masters in Business, our special guest is journalist

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<v Speaker 1>and author Jason's Wage. He is a columnist for The

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<v Speaker 1>Wall Street Journal. He is also the author of the

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<v Speaker 1>upcoming The Devil's Financial Dictionary, loosely based on Ambrose Bierce's

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<v Speaker 1>famous Devil's Dictionary. I actually have read several of his

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<v Speaker 1>previous books and really enjoyed him, one of which Your

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<v Speaker 1>Money and Your Brain Might have been one of the

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<v Speaker 1>first books that looked at behavioral economics from the investor's perspective.

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<v Speaker 1>He also helped Danny Kahneman edit Thinking Fast and Slow,

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<v Speaker 1>as well as being the editor of the revised edition

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<v Speaker 1>of Benjamin Graham's classic The Intelligent Investor. Jason's Wide Welcome

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<v Speaker 1>to Bloomberg. Great to be here. Mary. So you have

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<v Speaker 1>a long and storied history and financial journalism, and we'll

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<v Speaker 1>we'll get into some of the more granular stuff, but

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<v Speaker 1>let's let's just go a little bit over your background. UM,

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<v Speaker 1>I would be remiss if I didn't mention in two

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<v Speaker 1>thousand and thirteen you won the Lobe Award for Personal

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<v Speaker 1>Finance Writing. You've also been a writer for Money magazine, Time, CNN,

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<v Speaker 1>you covered mutual funds for Forbes, and today you're the

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<v Speaker 1>personal finance writer at The Journal. How did you find

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<v Speaker 1>your way into financial journalism? Well, I think, like a

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<v Speaker 1>lot of your guests, Barry, I'm gonna talk about luck.

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<v Speaker 1>I think I'm anybody who has done read intably well

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<v Speaker 1>in just about any field who doesn't credit luck first

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<v Speaker 1>and foremost is kidding himself? Or isn't that fascinating? When

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<v Speaker 1>when I finally sit down and put together the Book

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<v Speaker 1>of Masters in Business, how many guests, and not just

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<v Speaker 1>guests who had like one lucky break, but guys who

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<v Speaker 1>were billionaires like Howard Marks and Leon Cooperman. He'd say, well,

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<v Speaker 1>you know, you got really lucky. That's an amazing statement,

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<v Speaker 1>isn't it. It's and I think it's totally true. And

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<v Speaker 1>we all like to pride ourselves on our abilities and

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<v Speaker 1>our skills, but without luck, I'm not sure any of

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<v Speaker 1>us would be where we are today. I mean, I

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<v Speaker 1>always wanted to be a writer. I was always fascinated

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<v Speaker 1>by business. I have no formal training in business or economics.

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<v Speaker 1>You went to Columbia, but you didn't go to Columbia

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<v Speaker 1>Business school. You went to Columbia College, And would you

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<v Speaker 1>study undergraduate art history? And so of course that makes

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<v Speaker 1>perfect sense. You go from that to prest fun right,

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<v Speaker 1>and and I think it's probably worth pointing out that, uh,

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<v Speaker 1>one of your former guests, Charlie Ellis, also also spent

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<v Speaker 1>some time studying art history. What a delightful gentleman. He's great,

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<v Speaker 1>one of the best. So so you you The real

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<v Speaker 1>question I always wanted to ask you, and I'll do

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<v Speaker 1>it now, is how did you manage to avoid a

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<v Speaker 1>career and asset management. Uh? Well, I think I I

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<v Speaker 1>learned early enough in my career as a financial journalist

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<v Speaker 1>that uh, luck is supremely important in investment management, and

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<v Speaker 1>very early on I had a hard time distinguishing luck

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<v Speaker 1>from skill. And I still do. You need a long

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<v Speaker 1>period and lots of data and the right decision making

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<v Speaker 1>environment to stand a chance of telling whether something is

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<v Speaker 1>luck or skill. But that's just a long way of

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<v Speaker 1>saying that I didn't want to go into investment management

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<v Speaker 1>because I felt I I sort of knew where the

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<v Speaker 1>fundamental body was buried. And the body that was buried

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<v Speaker 1>was that a lot of people who think they're skillful

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<v Speaker 1>are just lucky. And I didn't really want to go

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<v Speaker 1>through my professional career with that on my conscience. I

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<v Speaker 1>guess I have other things on my conscience than that.

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<v Speaker 1>The flip side of that is a lot of people

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<v Speaker 1>who think they're unlucky merely or unskillful. Correct. So you

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<v Speaker 1>mentioned you always were fascinated by business. We always interested

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<v Speaker 1>in stocks and investing or was that something you came

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<v Speaker 1>to later. Yeah, I bought my first stock when I

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<v Speaker 1>was sixteen, Barry, it was, and it was a fascinating experience,

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<v Speaker 1>especially in hindsight. I bought a stock based on an

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<v Speaker 1>absolutely god awful book that when I was sixteen thought

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<v Speaker 1>was pretty persuasive. It was called How I Made two

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<v Speaker 1>Million Dollars in the Stock Market by Nicholas Darvis. I

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<v Speaker 1>read that a long time. Yeah, and you remember that

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<v Speaker 1>thing he talks about where you know, increasing volume on

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<v Speaker 1>rising price proceeds price exactly and you wait for the

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<v Speaker 1>price to confirm the volume, and then you then you buy.

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<v Speaker 1>So you're a closet technician, Well I was, at least

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<v Speaker 1>I was. This is actually an interesting story because I

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<v Speaker 1>I did exactly what he suggested. I took graph paper

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<v Speaker 1>and I tracked ten stocks and um I had a

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<v Speaker 1>copy of the SNP Stock Guide. This was five or six.

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<v Speaker 1>It's not a great time to be an equity investor

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<v Speaker 1>in the first place. And I found a stock that

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<v Speaker 1>was called and I'm saying called mac a F. I

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<v Speaker 1>didn't know what it was. The SNP Stock Guide said

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<v Speaker 1>that it uh it produced liquorice and I think ball

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<v Speaker 1>bearings or something like that, and uh so and it

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<v Speaker 1>it turned out to be a perfect Darvis stock. And

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<v Speaker 1>I bought a hundred shares at nine and five eighths

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<v Speaker 1>with my you know, summer earnings, and it went up

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<v Speaker 1>to twelve and seven eighths in a matter of days.

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<v Speaker 1>And I didn't know a thing about the company other

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<v Speaker 1>than this ridiculous theory that appeared to be confirmed. It

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<v Speaker 1>turned out later to be mc andrews and Forbes Ron

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<v Speaker 1>Perlman's original takeover vehicle. And I think this was around

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<v Speaker 1>the time that he was first amassing shares. So I

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<v Speaker 1>bought it for the wrong reason. I made money in

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<v Speaker 1>it for the wrong reason, and I got stopped out

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<v Speaker 1>at twelve and seven eighths, but this was so I

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<v Speaker 1>didn't know I had been stopped out until the trade

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<v Speaker 1>confirm arrived in the mail about a week later, and

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<v Speaker 1>I went bonkers and I was like, I'm writing this

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<v Speaker 1>thing all the way to twenty and I called my

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<v Speaker 1>parents broker and I said, get me back in and

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<v Speaker 1>then he flat out refused, and my dad had to

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<v Speaker 1>buy it for me and went to fourteen and a

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<v Speaker 1>quarter or something, and my dad browbeat me into selling it.

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<v Speaker 1>And then where did it ultimately go? I it did

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<v Speaker 1>very well in the long run. I don't think it

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<v Speaker 1>did too well. Right after that, you're listening to Masters

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<v Speaker 1>in Business on Bloomberg Radio. My guest this week is

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<v Speaker 1>Jason's Wide, author of the upcoming The Devil's Financial Dictionary.

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<v Speaker 1>Before we get into the book, I want to talk

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<v Speaker 1>a little bit about social media. I see you tweeting

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<v Speaker 1>pretty regularly. One of the questions I had for you

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<v Speaker 1>as a professional journalist, what's the impact of Twitter, and

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<v Speaker 1>to a lesser degree, blobs on the changing nature of

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<v Speaker 1>financial journalism. Well, I think it's I think it's really big, Barry,

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<v Speaker 1>and it's it's good and bad, And maybe let me

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<v Speaker 1>talk about the bad first. You know, uh, up until

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<v Speaker 1>a few years ago, certainly until ten years ago, probably five,

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<v Speaker 1>um reading and investing public could rely on major media

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<v Speaker 1>outlets to be their filters of information. If you saw

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<v Speaker 1>something in the Wall Street Journal or the New York Times,

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<v Speaker 1>for that matter, you could be fairly sure it was reliable, vetted,

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<v Speaker 1>somebody had looked into what it wasn't just a random

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<v Speaker 1>It's just not somebody spouting or repeating information generated by

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<v Speaker 1>people with an axe to grind without checking at first.

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<v Speaker 1>And I think the danger that we're in in a

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<v Speaker 1>world dominated by social media and kind of insta pundits

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<v Speaker 1>through the blog of sphere that's literally a blog inst

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<v Speaker 1>the plan yeah I know, um, but I wasn't referring

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<v Speaker 1>to them in particular, is that it's it's much harder

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<v Speaker 1>today to make qualitative judgments as a consumer of news

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<v Speaker 1>about what's reliable and what's not, because you're just drinking

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<v Speaker 1>from a fire hose all day long. And I think

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<v Speaker 1>the value of Twitter is that by giving you those

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<v Speaker 1>mic o bursts of information and opinion from people, you

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<v Speaker 1>get to see that, you get to see what they

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<v Speaker 1>think in short spurts, and you can fairly quickly form

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<v Speaker 1>a judgment about how objective they are, how reliable their

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<v Speaker 1>information is, and I think ultimately it's going to help

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<v Speaker 1>people separate the good from the bad. You know, one

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<v Speaker 1>of my favorite aspects about Twitter is just how easy

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<v Speaker 1>it is to derive a conclusion from somebody's Twitter numbers.

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<v Speaker 1>So if someone's got eighty thousand tweets and a hundred

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<v Speaker 1>and forty seven followers, that's a pretty fair assessment that

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<v Speaker 1>this person is not pranking out quality tweets. On the

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<v Speaker 1>other hands, when and Warren Buffett is probably the extreme

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<v Speaker 1>opposite of that, He's got four tweets and six million followers.

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<v Speaker 1>But between those extremes there's a spectrum. And you know,

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<v Speaker 1>I have under a hundred thousand followers, My partner has

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<v Speaker 1>over a hundred thousand followers, and we have a lot

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<v Speaker 1>less tweets than we have followers. So somebody who's looking

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<v Speaker 1>at that can say, oh, there has to be something

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<v Speaker 1>worthwhile and substance if here not that followers or everything. Otherwise,

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<v Speaker 1>if that was the case, Justin Bieber would be philosopher king.

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<v Speaker 1>And we know that's not the case, but that's a

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<v Speaker 1>real good shorthand to say, hey, is this person putting

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<v Speaker 1>out anything of quality? Is there some way to double check, validate,

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<v Speaker 1>see if the crowd has any wisdom and they've endorsed

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<v Speaker 1>this person. Isn't it remarkable? Barry? How how hard that

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<v Speaker 1>simple algorithm you've just expressed is for so many people

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<v Speaker 1>to understand? I mean every day on Twitter you see

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<v Speaker 1>recommended lists of people who tweet, and then you look

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<v Speaker 1>at them and you see, oh, here's somebody they're recommending

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<v Speaker 1>because he has fifty thou followers without even noting that

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<v Speaker 1>he follows eighty thousand people and he's tweeted forty thousand times.

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<v Speaker 1>So you know, a lot of people are still using

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<v Speaker 1>followers alone. No, it can't be as the metric. You

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<v Speaker 1>have to it has to be a combination of quantitative

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<v Speaker 1>and qualities. You have to say, has the crowd vallet

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<v Speaker 1>you know, it's sort of like when when you go

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<v Speaker 1>to Metacritic, you basically say what were the reviews? Like

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<v Speaker 1>what did the audience say? When when you get a

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<v Speaker 1>movie like Jurassic Park or Mission Impossible and both the

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<v Speaker 1>reviewers like it and the crowd likes it. So that's

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<v Speaker 1>how I use the Twitter numbers, and we've now lost

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<v Speaker 1>half our audience let's let's let's turn to The Devil's

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<v Speaker 1>Financial Dictionary, which comes out in October. I've got a

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<v Speaker 1>preliminary copy of of the book, and that's one of

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<v Speaker 1>the reasons why I wanted to sit down and chat

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<v Speaker 1>with you. I found it. Let me let me rather

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<v Speaker 1>than me telling you what I think, let me go

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<v Speaker 1>some of the early reviews. Bob Schiller, Nobel winner and

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<v Speaker 1>Professor of Finance at Yale University. The most amusing presentation

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<v Speaker 1>of principle is the finance I've ever seen. John Bogel,

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<v Speaker 1>founder of the Vanguard Group. Laugh, cry, and learn as

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<v Speaker 1>you enjoy the sparkling Devil's Financial Dictionary. The List of

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<v Speaker 1>people who have given you blurbs Burton Malkiel, author author

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<v Speaker 1>of Random Walked Down Wall Street, delightfully humorous and stunningly irreverent.

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<v Speaker 1>James Grant opened this wonderful book to any page, try

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<v Speaker 1>not to laugh, I dare you. And then Bill Sharp

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<v Speaker 1>essentially created the Sharp ratio and another Nobel laureate at

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<v Speaker 1>Stanford The run of People You got to um. I

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<v Speaker 1>was like disappointed, No Buffett, and then I scrolled down

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<v Speaker 1>and there's Warren Buffett's blured it. It's Um, it's an

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<v Speaker 1>amazing run of people. Tell us a little bit about

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<v Speaker 1>the motivation and thought process behind the book. Well, I've

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<v Speaker 1>always loved Ambrose Beers's Devil's Dictionary. You know. Beers is

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<v Speaker 1>maybe the most unjustly elected author of the nineteenth century

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<v Speaker 1>in America. He was a contemporary of Mark Twain's. He

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<v Speaker 1>was at least as brilliant. He wrote some of the

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<v Speaker 1>most devastating epigrams ever written. And um, he was brutally

0:14:16.840 --> 0:14:22.200
<v Speaker 1>cynical about American society and institutions, and he took on

0:14:22.880 --> 0:14:27.400
<v Speaker 1>a few He he basically compiled The Devil's Dictionary as

0:14:27.440 --> 0:14:33.560
<v Speaker 1>a collection of satirical definitions of terms most people think

0:14:33.600 --> 0:14:36.720
<v Speaker 1>of in a very conventional way. And he just blew

0:14:36.800 --> 0:14:41.720
<v Speaker 1>up every sort of bit of conventional wisdom and turned

0:14:41.760 --> 0:14:44.840
<v Speaker 1>them all on their head. And it just occurred to

0:14:44.840 --> 0:14:48.880
<v Speaker 1>me about two years ago that this project that I

0:14:48.880 --> 0:14:51.960
<v Speaker 1>had had in mind for about fifteen years would be

0:14:52.000 --> 0:14:54.520
<v Speaker 1>easier to do than I realized. And I just started

0:14:54.520 --> 0:14:57.120
<v Speaker 1>doing it in my spare time. And my wife heard

0:14:57.160 --> 0:14:59.920
<v Speaker 1>me cackling in the kitchen at night, and I really,

0:15:00.760 --> 0:15:03.320
<v Speaker 1>if I was bothering her, I must be having fun.

0:15:04.000 --> 0:15:07.240
<v Speaker 1>And I just kept at it. And you know, my

0:15:07.320 --> 0:15:10.320
<v Speaker 1>goal was to try to do something like what Beers

0:15:10.320 --> 0:15:14.080
<v Speaker 1>did and bring it to the world of Wall Street.

0:15:14.200 --> 0:15:17.320
<v Speaker 1>And you know a couple of definitions from the original

0:15:17.400 --> 0:15:20.320
<v Speaker 1>Devil's Dictionary or worth keeping in mind. I mean these

0:15:20.360 --> 0:15:22.560
<v Speaker 1>are bear in mind. I'm going to read these. And

0:15:22.680 --> 0:15:25.080
<v Speaker 1>first comes the word, then comes to the part of speech,

0:15:25.120 --> 0:15:27.680
<v Speaker 1>then comes to the definition. So this is ambrose beers

0:15:28.640 --> 0:15:34.680
<v Speaker 1>ambidextrous adjective able to pick with equal skill a right

0:15:34.720 --> 0:15:38.360
<v Speaker 1>hand pocket or a left I gotta like that. In

0:15:38.400 --> 0:15:41.680
<v Speaker 1>the in the last thirty seconds we have of this segment, Um,

0:15:41.720 --> 0:15:45.600
<v Speaker 1>what are some of your favorite ones from the new

0:15:45.680 --> 0:15:48.560
<v Speaker 1>Financial Devil's Dictionary. I'll give you one of my favorite

0:15:49.000 --> 0:15:53.200
<v Speaker 1>day trader see idiot. Yeah, that's to get some hate

0:15:53.200 --> 0:15:55.920
<v Speaker 1>mail on that one. That might be my favorite too.

0:15:56.000 --> 0:15:57.600
<v Speaker 1>And maybe we can, maybe we can get into some

0:15:57.640 --> 0:16:00.040
<v Speaker 1>of the longer ones. A bit later, you're listening a

0:16:00.160 --> 0:16:04.280
<v Speaker 1>Master's in Business on Bloomberg Radio. I'm speaking with jason's Wage,

0:16:04.400 --> 0:16:08.160
<v Speaker 1>personal finance writer and author of numerous books, his most

0:16:08.200 --> 0:16:13.320
<v Speaker 1>recent being The Devil's Financial Dictionary. Tell me, uh, some

0:16:13.440 --> 0:16:18.160
<v Speaker 1>of your favorite selections from this volume? Well, Barry, maybe

0:16:18.200 --> 0:16:21.840
<v Speaker 1>I can, maybe I can read one quickly, and you know,

0:16:21.880 --> 0:16:24.280
<v Speaker 1>I'll read the definition, the part of speech, and then

0:16:24.680 --> 0:16:27.800
<v Speaker 1>I have to warrnt everybody. There are what I call

0:16:27.920 --> 0:16:31.040
<v Speaker 1>flights of fancy in these, okay, which are these little

0:16:31.280 --> 0:16:37.200
<v Speaker 1>um imaginary passages featuring people who bear no resemblance to

0:16:37.240 --> 0:16:42.440
<v Speaker 1>anyone you and I might? Alright, So option nown the

0:16:42.560 --> 0:16:44.880
<v Speaker 1>right to buy or sell a financial asset at a

0:16:44.880 --> 0:16:48.240
<v Speaker 1>fixed price on or before a specific time from the

0:16:48.320 --> 0:16:53.240
<v Speaker 1>Latin opt o. I choose a boon for stockholders whose

0:16:53.280 --> 0:16:57.160
<v Speaker 1>clients don't understand how options work and generate a fortune

0:16:57.200 --> 0:17:01.040
<v Speaker 1>in commissions as they attempt to learn. And here comes

0:17:01.080 --> 0:17:06.320
<v Speaker 1>the flight of fancy stockholders of stockbrokers. Stockbrokers, explained you,

0:17:06.680 --> 0:17:10.080
<v Speaker 1>asking me, a client of the broker age firm born

0:17:10.240 --> 0:17:14.160
<v Speaker 1>rich and how I put two children through Harvard by

0:17:14.160 --> 0:17:20.159
<v Speaker 1>trading options. Unfortunately they were my broker's children. That's great,

0:17:20.760 --> 0:17:26.439
<v Speaker 1>so um obviously ambrosepers huge, huge influence. You mentioned you

0:17:26.480 --> 0:17:29.720
<v Speaker 1>were working on this at night. How long did it

0:17:29.760 --> 0:17:33.400
<v Speaker 1>take you to assemble this is a pretty thorough financial distinary.

0:17:33.400 --> 0:17:36.879
<v Speaker 1>How how long did this stake? It didn't take very long, actually, U.

0:17:38.520 --> 0:17:40.159
<v Speaker 1>You know a lot of these I'd had in my

0:17:40.240 --> 0:17:42.000
<v Speaker 1>head for a long time, so it's just a matter

0:17:42.000 --> 0:17:43.919
<v Speaker 1>of getting it out and on some page. Yeah. The

0:17:44.000 --> 0:17:46.959
<v Speaker 1>real what I'm trying to do with this book is

0:17:47.119 --> 0:17:49.800
<v Speaker 1>in each case when I define a term, I'm saying

0:17:49.800 --> 0:17:54.040
<v Speaker 1>to myself, you know, after more than a quarter century

0:17:54.160 --> 0:17:57.680
<v Speaker 1>of you know, researching and reporting on the financial markets,

0:17:57.880 --> 0:18:01.320
<v Speaker 1>can I take everything I've learned and boil it down

0:18:01.440 --> 0:18:05.720
<v Speaker 1>into a hundred fifty words or less? And then if

0:18:05.720 --> 0:18:08.439
<v Speaker 1>I can do that, how about fifty words? And in

0:18:08.480 --> 0:18:10.600
<v Speaker 1>some cases I got them down to a single word?

0:18:11.119 --> 0:18:16.560
<v Speaker 1>Give me us an example other than the day trader. Um. Uh, well,

0:18:16.600 --> 0:18:22.600
<v Speaker 1>there's one which is human adjective biased. We're gonna talk

0:18:22.600 --> 0:18:26.960
<v Speaker 1>a little more about the biases and cognitive issues of

0:18:27.080 --> 0:18:30.040
<v Speaker 1>humans coming up in a bit. Uh. Who is the

0:18:30.119 --> 0:18:33.080
<v Speaker 1>ideal audience for this? Is this scared for the professional?

0:18:33.240 --> 0:18:35.280
<v Speaker 1>Is this for a mom and pop investor? Who are

0:18:35.280 --> 0:18:39.480
<v Speaker 1>you thinking about when you were writing this? Well? Really everybody.

0:18:39.800 --> 0:18:42.199
<v Speaker 1>There's a lot of inside jokes in this book that

0:18:42.280 --> 0:18:45.200
<v Speaker 1>I think only a professional audience will get and will

0:18:45.280 --> 0:18:50.119
<v Speaker 1>certainly be annoyed by and I hope amused by. I

0:18:50.160 --> 0:18:52.320
<v Speaker 1>think one of the wonderful things about the Wall Street

0:18:52.320 --> 0:18:57.280
<v Speaker 1>community is that people do have an ability to laugh

0:18:57.320 --> 0:19:00.720
<v Speaker 1>at themselves. UM, at least the better people in the

0:19:00.880 --> 0:19:04.119
<v Speaker 1>in the field do. And there's a lot to laugh about,

0:19:04.280 --> 0:19:07.679
<v Speaker 1>so to say the least, I'm curious as to how

0:19:07.800 --> 0:19:10.359
<v Speaker 1>the research for this win. I know you said this

0:19:10.400 --> 0:19:13.480
<v Speaker 1>has been kicking around your head for fifteen years, but yeah,

0:19:13.520 --> 0:19:17.640
<v Speaker 1>I just picture you doing a pretty deep dive, if

0:19:17.720 --> 0:19:20.919
<v Speaker 1>not wearing the white gloves and the stacks of Yale,

0:19:21.560 --> 0:19:26.639
<v Speaker 1>certainly working your way through UM either Lexus or Google

0:19:26.720 --> 0:19:30.760
<v Speaker 1>to try and find some so early ideology of some

0:19:30.840 --> 0:19:33.560
<v Speaker 1>of these words. Yeah, a lot in a lot of cases,

0:19:33.680 --> 0:19:37.240
<v Speaker 1>because it is a true dictionary. So I was trying

0:19:37.280 --> 0:19:41.000
<v Speaker 1>to get at where a lot of these terms derived from.

0:19:41.080 --> 0:19:44.359
<v Speaker 1>And in many cases, people who use these terms all

0:19:44.440 --> 0:19:47.000
<v Speaker 1>day long don't really know what they mean, so they're

0:19:47.080 --> 0:19:50.680
<v Speaker 1>just using them as jargon, not as as true exactly.

0:19:50.720 --> 0:19:53.600
<v Speaker 1>And and so yes, there's I did a lot of

0:19:53.680 --> 0:19:57.359
<v Speaker 1>historical and archival research trying to figure out when a

0:19:57.440 --> 0:20:00.640
<v Speaker 1>certain term was first used, where came from. I spent

0:20:00.680 --> 0:20:03.720
<v Speaker 1>a lot of time with the Oxford English Dictionary and

0:20:04.160 --> 0:20:08.639
<v Speaker 1>UM all kinds of historical research as well. And you

0:20:08.680 --> 0:20:11.600
<v Speaker 1>have quite the background as an editor. One of the

0:20:11.680 --> 0:20:16.040
<v Speaker 1>questions I had to ask, So, the very famous classic

0:20:16.119 --> 0:20:21.120
<v Speaker 1>book by Benjamin Graham, The Intelligent Investor, you actually were

0:20:21.160 --> 0:20:24.879
<v Speaker 1>the editor of the revised edition. How on earth did

0:20:24.920 --> 0:20:29.640
<v Speaker 1>that invitation come along? Well, I don't think it hurt

0:20:29.800 --> 0:20:34.400
<v Speaker 1>that I was a Graham afficionado. I mean I I

0:20:34.440 --> 0:20:40.800
<v Speaker 1>first read The Intelligent Investor in March when I started

0:20:40.840 --> 0:20:45.960
<v Speaker 1>as a financial journalist at Forbes Magazine, and I probably

0:20:46.000 --> 0:20:50.600
<v Speaker 1>read it cover to cover at least six times. I'd

0:20:50.600 --> 0:20:54.000
<v Speaker 1>read almost all of Graham's shorter writings as well, and

0:20:54.320 --> 0:20:56.960
<v Speaker 1>all the biographies of him that existed at the time.

0:20:57.400 --> 0:21:01.240
<v Speaker 1>But ultimately it was it was uck like everything else

0:21:01.560 --> 0:21:05.240
<v Speaker 1>we've been talking about. Um. A friend of mine had

0:21:05.680 --> 0:21:10.240
<v Speaker 1>written a book for Harbercollins. Uh, one of the top

0:21:10.359 --> 0:21:13.760
<v Speaker 1>editors at the publishing house, was out to lunch with

0:21:13.800 --> 0:21:16.800
<v Speaker 1>her and said, uh, you know, we have this book.

0:21:16.840 --> 0:21:18.880
<v Speaker 1>Who do you think should do it? And she said, oh, well,

0:21:18.920 --> 0:21:21.239
<v Speaker 1>there was only one person who should do it, and

0:21:21.320 --> 0:21:24.320
<v Speaker 1>she told him to ask me. And why did she

0:21:24.400 --> 0:21:27.760
<v Speaker 1>do that? Because we had both been at a party

0:21:27.880 --> 0:21:31.080
<v Speaker 1>about a month beforehand. We hadn't seen each other in years.

0:21:31.320 --> 0:21:34.000
<v Speaker 1>I had seen her across the room and I said, oh,

0:21:34.119 --> 0:21:37.360
<v Speaker 1>I haven't seen her in years, and so I made

0:21:37.359 --> 0:21:39.280
<v Speaker 1>a special point going to say hi. And if I

0:21:39.280 --> 0:21:41.640
<v Speaker 1>hadn't said hi to her, she would have recommended somebody else.

0:21:42.040 --> 0:21:45.160
<v Speaker 1>You're listening to Master's in Business on Bloomberg Radio. We're

0:21:45.200 --> 0:21:49.520
<v Speaker 1>speaking with Jason's Wide, personal finance writer and author. Um.

0:21:49.640 --> 0:21:51.720
<v Speaker 1>One of the things I wanted to really go over

0:21:51.760 --> 0:21:57.680
<v Speaker 1>with you, uh, is your perspective as a personal finance columnist.

0:21:58.119 --> 0:22:01.720
<v Speaker 1>And I'm going to start by quoting you and then

0:22:01.800 --> 0:22:06.399
<v Speaker 1>and then we'll discuss it. You once wrote, my job

0:22:06.520 --> 0:22:10.480
<v Speaker 1>is to write the exact same thing between fifty and

0:22:10.600 --> 0:22:13.800
<v Speaker 1>one hundred times a year in such a way that

0:22:13.840 --> 0:22:17.840
<v Speaker 1>neither my editors nor my readers will ever think I'm

0:22:17.880 --> 0:22:23.720
<v Speaker 1>repeating myself. Explain. Um, Yeah, there's a simple reason for that, Barry.

0:22:23.960 --> 0:22:26.399
<v Speaker 1>I'm and I think you and I think alike on this.

0:22:26.560 --> 0:22:29.240
<v Speaker 1>There's there's really only a handful of things you can

0:22:29.280 --> 0:22:36.240
<v Speaker 1>tell investors about their portfolios that are true before you

0:22:36.280 --> 0:22:40.159
<v Speaker 1>get into things that are bad for them. And you know,

0:22:40.480 --> 0:22:43.200
<v Speaker 1>we could disagree about the number. There might be six

0:22:43.280 --> 0:22:47.679
<v Speaker 1>things they are good for people, there might be thirty,

0:22:48.520 --> 0:22:53.320
<v Speaker 1>but there aren't a hundred. And I'm and there's at

0:22:53.440 --> 0:22:56.320
<v Speaker 1>most a couple dozen. So We're not going to see

0:22:56.320 --> 0:23:00.400
<v Speaker 1>a daily television show for you where an hour day

0:23:00.560 --> 0:23:04.480
<v Speaker 1>you wax eloquence on the issues of the moment. Well,

0:23:04.560 --> 0:23:08.200
<v Speaker 1>probably not, because you know, as I, as I also

0:23:08.240 --> 0:23:10.760
<v Speaker 1>mentioned in the same piece you're quoting from, you know,

0:23:13.119 --> 0:23:16.440
<v Speaker 1>five per cent of the time, the right thing for

0:23:16.480 --> 0:23:22.840
<v Speaker 1>people to do is nothing. And uh, there's a financial

0:23:22.880 --> 0:23:27.720
<v Speaker 1>media that exists all day long, NonStop, having to provide

0:23:27.720 --> 0:23:31.720
<v Speaker 1>people with what appears to be information, well certainly content content.

0:23:32.119 --> 0:23:34.920
<v Speaker 1>And if you you can't do that, if you believe

0:23:35.160 --> 0:23:37.359
<v Speaker 1>that the right thing to tell people to do is nothing,

0:23:37.680 --> 0:23:40.800
<v Speaker 1>So that Jason's wide TV show would be have a

0:23:40.920 --> 0:23:46.040
<v Speaker 1>broadly diversified asset allocation model, rebalance regularly, watch your fees,

0:23:46.240 --> 0:23:50.760
<v Speaker 1>see you tomorrow. Yeah, diversify, buy and hold, minimize your

0:23:50.800 --> 0:23:56.080
<v Speaker 1>costs and your taxes. And I keep your hands in

0:23:56.119 --> 0:23:59.399
<v Speaker 1>your pockets, don't. Don't just do something? Sit there right

0:23:59.440 --> 0:24:02.520
<v Speaker 1>and keep other people's hands out of your pockets. That

0:24:02.600 --> 0:24:07.320
<v Speaker 1>makes sense. So let me let me re ask that

0:24:07.440 --> 0:24:09.960
<v Speaker 1>that question in a slightly different way, along the same

0:24:10.000 --> 0:24:14.520
<v Speaker 1>spirit of that that question, what does good financial advice

0:24:14.640 --> 0:24:20.480
<v Speaker 1>look like? Good financial advice on keeps people from being

0:24:20.520 --> 0:24:24.120
<v Speaker 1>their own worst enemies? You know. Benjamin Graham famously wrote

0:24:24.160 --> 0:24:28.120
<v Speaker 1>about that in the introduction to the Intelligent Investor, and

0:24:28.800 --> 0:24:31.840
<v Speaker 1>I think it all really boils down to one very

0:24:31.960 --> 0:24:37.040
<v Speaker 1>very simple thing, which is that markets regrets to the mean,

0:24:38.320 --> 0:24:42.080
<v Speaker 1>and the way you in the short run, the way

0:24:42.119 --> 0:24:46.280
<v Speaker 1>you attract attention to yourself if you're providing financial advice,

0:24:46.760 --> 0:24:51.320
<v Speaker 1>is by encouraging people to bet against regression to the mean.

0:24:51.600 --> 0:24:54.959
<v Speaker 1>So if an asset is rapidly going up in price,

0:24:55.040 --> 0:24:58.479
<v Speaker 1>you tell people buy more while you still can, and

0:24:58.520 --> 0:25:01.240
<v Speaker 1>if it's going down, you tell him to sell before

0:25:01.280 --> 0:25:04.679
<v Speaker 1>it's too late. But if you're trying to help people

0:25:05.520 --> 0:25:07.720
<v Speaker 1>get on the right side of regression to the mean,

0:25:08.560 --> 0:25:12.520
<v Speaker 1>then you give them countercyclical advice. When an asset is

0:25:12.560 --> 0:25:15.000
<v Speaker 1>going up and Brice, you tell them be cautious, and

0:25:15.040 --> 0:25:17.720
<v Speaker 1>when it's going down, you tell them to become more aggressive.

0:25:18.640 --> 0:25:21.440
<v Speaker 1>Quite interesting, So let me ask you the flip side

0:25:21.440 --> 0:25:24.520
<v Speaker 1>of that. Uh, why is it that so much bad

0:25:24.560 --> 0:25:28.920
<v Speaker 1>advice seems to hang around and not die? Why why?

0:25:29.080 --> 0:25:31.760
<v Speaker 1>Or or as slightly differently, why is there so much

0:25:32.200 --> 0:25:38.400
<v Speaker 1>zombie advice for investors? Well? I think it boils down

0:25:38.400 --> 0:25:41.840
<v Speaker 1>to something very simple. Barry. I think you know, humans

0:25:41.880 --> 0:25:47.720
<v Speaker 1>have a profound um, a profound desire to believe in magic.

0:25:48.400 --> 0:25:52.239
<v Speaker 1>People want to be lied to? And was it you

0:25:52.280 --> 0:25:55.840
<v Speaker 1>who recently wrote um the three ways to make money

0:25:56.080 --> 0:26:00.080
<v Speaker 1>as a as a writer lie to. If you, if

0:26:00.119 --> 0:26:02.480
<v Speaker 1>you tell people to truth, truth who don't want to

0:26:02.480 --> 0:26:04.600
<v Speaker 1>hear it, you're not gonna make any money. If you

0:26:04.680 --> 0:26:07.720
<v Speaker 1>tell people truth who want to hear the truth, they're

0:26:07.840 --> 0:26:09.720
<v Speaker 1>they're gonna make some money. But if you a lot

0:26:09.720 --> 0:26:11.199
<v Speaker 1>of the people who want to be lied to, you're

0:26:11.240 --> 0:26:14.400
<v Speaker 1>gonna make the most amount of Yeah, if you, if

0:26:14.400 --> 0:26:16.359
<v Speaker 1>you tell the truth to people who want to be

0:26:16.440 --> 0:26:21.840
<v Speaker 1>lied to, you'll starve. That's unbelievable. It's true. And so

0:26:21.880 --> 0:26:24.840
<v Speaker 1>what is it within our makeup that wants us to

0:26:25.040 --> 0:26:31.760
<v Speaker 1>be told the soft, easy, comfortable thing and not Hey, here,

0:26:31.880 --> 0:26:35.240
<v Speaker 1>here's you know, tough love, here's the cold, hard reality.

0:26:35.560 --> 0:26:37.800
<v Speaker 1>The sooner you learn that, the better off you are. Well,

0:26:37.840 --> 0:26:42.000
<v Speaker 1>people are people are machines, right, and their machines that

0:26:42.080 --> 0:26:47.840
<v Speaker 1>are designed to optimize a few things. Pattern recognition, self

0:26:47.960 --> 0:26:53.800
<v Speaker 1>enhancement m HM, and self delusion. I mean, human beings

0:26:53.880 --> 0:26:57.520
<v Speaker 1>are really good at those three things. We're we almost

0:26:57.520 --> 0:27:02.680
<v Speaker 1>certainly have evolved to maximize is those things and that's

0:27:02.680 --> 0:27:07.120
<v Speaker 1>why people are so susceptible to bad advice, because bad

0:27:07.119 --> 0:27:12.160
<v Speaker 1>advice praise on that stuff emotionally, praise to those emotional

0:27:12.240 --> 0:27:16.960
<v Speaker 1>hot buttons. Exactly. Interesting. So let's let's talk about some

0:27:16.960 --> 0:27:19.639
<v Speaker 1>more good advice. Who are the young writers that you

0:27:19.680 --> 0:27:24.280
<v Speaker 1>were reading today that you find to be giving the

0:27:24.320 --> 0:27:28.199
<v Speaker 1>sort of good advice or or good writing that is

0:27:28.240 --> 0:27:32.320
<v Speaker 1>beneficial to investors? And yeah, I think I I think

0:27:32.359 --> 0:27:35.560
<v Speaker 1>I I like some of the same people you do.

0:27:35.640 --> 0:27:40.040
<v Speaker 1>Barry Well, it's not a coincidence. You being here is

0:27:40.080 --> 0:27:44.879
<v Speaker 1>just my confirmation bias that works, Yes, exactly, and mine too. Um.

0:27:44.920 --> 0:27:47.240
<v Speaker 1>You know the first person I would name would be Morgan.

0:27:47.320 --> 0:27:50.399
<v Speaker 1>How is only the Moley fool? I think? Um? I

0:27:50.440 --> 0:27:54.280
<v Speaker 1>think he does just incredibly sharp, really insightful stuff. Love

0:27:54.320 --> 0:27:58.439
<v Speaker 1>his work. Ben Carlson a wealth of common sense, really

0:27:59.520 --> 0:28:05.240
<v Speaker 1>that's his does great stuff. James Osborne at Basin Asset

0:28:05.320 --> 0:28:08.840
<v Speaker 1>Management does also really cool stuff. There's a bunch of

0:28:08.880 --> 0:28:12.920
<v Speaker 1>other people as well, I'm who are terrific. It's amazing

0:28:13.080 --> 0:28:17.840
<v Speaker 1>how the meritocracy of financial writing, how these names have

0:28:18.000 --> 0:28:21.480
<v Speaker 1>risen up to the top fairly quickly. Ben Carlson as

0:28:21.520 --> 0:28:26.680
<v Speaker 1>an example, I mean he started blogging. I don't know,

0:28:26.840 --> 0:28:30.280
<v Speaker 1>a year ago, maybe less really relative, maybe it's two

0:28:30.359 --> 0:28:34.879
<v Speaker 1>years ago relatively short time, quickly found an institutional audience

0:28:35.320 --> 0:28:38.320
<v Speaker 1>and puts out really really good stuff on a regular Yeah.

0:28:38.360 --> 0:28:40.360
<v Speaker 1>And I think this is a very hopeful sign for

0:28:40.400 --> 0:28:42.120
<v Speaker 1>the future. You know, there are a lot of people

0:28:42.200 --> 0:28:48.920
<v Speaker 1>and Charlie Munger is one worrying what does he blog away?

0:28:50.200 --> 0:28:54.000
<v Speaker 1>I know I recognized that he. Uh, he's very worried

0:28:54.040 --> 0:28:57.840
<v Speaker 1>about the institutional impact of the decline of the traditional

0:28:58.360 --> 0:29:01.360
<v Speaker 1>great newspaper. And we don't know yet what's going to

0:29:01.480 --> 0:29:05.840
<v Speaker 1>replace it. But the fact that that really talented, bright

0:29:05.960 --> 0:29:09.160
<v Speaker 1>young people have been able to sort of rise to

0:29:09.240 --> 0:29:12.400
<v Speaker 1>the top, I think is is a hopeful sign for

0:29:12.440 --> 0:29:16.760
<v Speaker 1>the future. I can't say I I disagree. Um, what

0:29:16.840 --> 0:29:19.160
<v Speaker 1>are the writers do you read? Who else have you

0:29:19.200 --> 0:29:22.800
<v Speaker 1>read over the years that really stood out as as

0:29:22.840 --> 0:29:27.240
<v Speaker 1>a powerful and influential voice to you? Well, a lot

0:29:27.280 --> 0:29:32.840
<v Speaker 1>of them are are now of another generation. Um, Charlie

0:29:32.840 --> 0:29:38.080
<v Speaker 1>Ellis was a very big influence on me. I'm Ben Graham,

0:29:38.200 --> 0:29:44.680
<v Speaker 1>of course. Uh. Probably the single biggest influences on the

0:29:44.920 --> 0:29:49.600
<v Speaker 1>on the way I try to think, uh would be

0:29:49.680 --> 0:29:58.800
<v Speaker 1>Richard Feineman, the physicist m yes um uh. Who's wonderful

0:29:58.840 --> 0:30:01.720
<v Speaker 1>books these oral streets, And there's a series of them.

0:30:01.720 --> 0:30:04.240
<v Speaker 1>There's four or five of them I think are among

0:30:04.280 --> 0:30:08.520
<v Speaker 1>the most engaging books on how to think. I believe

0:30:08.560 --> 0:30:12.440
<v Speaker 1>you could find anywhere. And of course Danny Kahneman the

0:30:13.240 --> 0:30:17.200
<v Speaker 1>Thinking Fast Uh and Slow Ye was a huge influence

0:30:17.240 --> 0:30:20.280
<v Speaker 1>on me as well, and I was very fortunate to

0:30:20.320 --> 0:30:22.040
<v Speaker 1>be able to work with him and help him on

0:30:22.080 --> 0:30:25.600
<v Speaker 1>the book that that was a fascinating book, which leads

0:30:25.640 --> 0:30:29.120
<v Speaker 1>to a question. So you and I both found behavioral

0:30:29.160 --> 0:30:32.560
<v Speaker 1>economics fairly early in our career. How did you stumble

0:30:32.640 --> 0:30:42.160
<v Speaker 1>into that space? Uh? Well, I realized around that I

0:30:42.200 --> 0:30:46.120
<v Speaker 1>was running out of interesting questions. I didn't think. I

0:30:46.120 --> 0:30:48.600
<v Speaker 1>I didn't think by any means I had all the answers.

0:30:49.480 --> 0:30:53.320
<v Speaker 1>But as someone who didn't have professional training in finance

0:30:54.040 --> 0:30:57.680
<v Speaker 1>or economics, but who sort of sat at the feet

0:30:57.720 --> 0:31:00.600
<v Speaker 1>of the smartest people, I could find a lot of

0:31:00.640 --> 0:31:04.320
<v Speaker 1>the questions were starting to feel repetitive to me, my

0:31:04.520 --> 0:31:09.880
<v Speaker 1>questions and other people's questions. And there was still this

0:31:09.880 --> 0:31:12.760
<v Speaker 1>this fundamental mystery that nobody seemed to have an answer to,

0:31:12.840 --> 0:31:16.120
<v Speaker 1>which is why do smart people do such stupid things?

0:31:16.480 --> 0:31:19.920
<v Speaker 1>When it comes to money. It's amazing. History is replete

0:31:20.320 --> 0:31:24.760
<v Speaker 1>with examples, whether it's Isaac Newton, Mark Twain, go down

0:31:24.760 --> 0:31:29.040
<v Speaker 1>the list of various brilliant, insightful people who will manage

0:31:29.080 --> 0:31:32.280
<v Speaker 1>to just blow up in the stock mark. Ye. And

0:31:32.280 --> 0:31:35.800
<v Speaker 1>and that's really the central question that has obsessed me

0:31:36.520 --> 0:31:39.360
<v Speaker 1>for the past twenty years is why do smart people

0:31:39.480 --> 0:31:44.440
<v Speaker 1>become stupid when money comes into the room. Well, we've

0:31:44.480 --> 0:31:46.920
<v Speaker 1>run out of time for this segment. If you enjoy

0:31:47.000 --> 0:31:49.920
<v Speaker 1>this conversation, be sure and check out our podcast extras

0:31:50.240 --> 0:31:54.400
<v Speaker 1>with a tape keeps rolling and we continue our conversation. Uh.

0:31:54.440 --> 0:31:57.080
<v Speaker 1>If you want to catch more of Jason's wives work,

0:31:57.400 --> 0:31:59.880
<v Speaker 1>you can follow him on Twitter. Your Twitter handle is

0:32:00.240 --> 0:32:03.800
<v Speaker 1>Jason's wag w s J. I'm Barry RIH Halts. Be

0:32:03.840 --> 0:32:06.320
<v Speaker 1>sure and check out my daily column on Bloomberg View

0:32:06.360 --> 0:32:10.000
<v Speaker 1>dot com. Follow me on Twitter at rid Halts. You've

0:32:10.000 --> 0:32:14.760
<v Speaker 1>been listening to Masters in Business on Bloomberg Radio. Welcome

0:32:14.840 --> 0:32:18.200
<v Speaker 1>to the podcast Extras. My guest this week is Jason's

0:32:18.200 --> 0:32:20.440
<v Speaker 1>Wage and there's so much stuff I want to ask

0:32:20.480 --> 0:32:23.320
<v Speaker 1>you about. You know, it's funny those segments that are

0:32:24.120 --> 0:32:28.440
<v Speaker 1>seven minutes, eight minutes, six minutes, eleven minutes, I lose

0:32:28.480 --> 0:32:30.760
<v Speaker 1>a little bit of rhythm because I'm always aware of

0:32:30.800 --> 0:32:32.960
<v Speaker 1>the time. And then we get to this segment and

0:32:33.200 --> 0:32:36.080
<v Speaker 1>we could kind of take our shoes off and kick

0:32:36.160 --> 0:32:38.640
<v Speaker 1>back and relax. So let me go over some of

0:32:38.680 --> 0:32:42.720
<v Speaker 1>the questions that I skipped that I wanted to to

0:32:42.760 --> 0:32:46.800
<v Speaker 1>ask you. And these are really print real questions printed out.

0:32:47.360 --> 0:32:49.760
<v Speaker 1>You know you can you can get the home copies

0:32:49.840 --> 0:32:53.360
<v Speaker 1>if you want. Um. We talked briefly about Twitter and

0:32:53.440 --> 0:32:57.520
<v Speaker 1>blogs and social media. Um. What I wanted to ask

0:32:57.680 --> 0:33:00.640
<v Speaker 1>was not so much about commentary in and now lissis,

0:33:01.120 --> 0:33:05.400
<v Speaker 1>which is always its own separate page in a newspaper,

0:33:05.440 --> 0:33:08.520
<v Speaker 1>but what about just straight up reporting. We keep seeing

0:33:08.640 --> 0:33:15.680
<v Speaker 1>various media outlets just ending various local reporting, city hall

0:33:15.840 --> 0:33:18.600
<v Speaker 1>that the other thing, what does this mean for the

0:33:18.640 --> 0:33:22.360
<v Speaker 1>future of of actual not what you and I do,

0:33:22.600 --> 0:33:25.400
<v Speaker 1>but actual reporting with people go out and try and

0:33:25.480 --> 0:33:29.240
<v Speaker 1>find the facts in current events and tell the rest

0:33:29.240 --> 0:33:31.080
<v Speaker 1>of the world about it. Yeah, I think that I

0:33:31.120 --> 0:33:36.520
<v Speaker 1>think you know, all of this is like is sort

0:33:36.520 --> 0:33:40.360
<v Speaker 1>of like a Newton's law of thermodynamics, right, Barry. I mean,

0:33:40.400 --> 0:33:46.320
<v Speaker 1>for everything created, something is destroyed. And you know, the

0:33:46.320 --> 0:33:50.680
<v Speaker 1>the Internet and the advent of social media have democratized

0:33:51.400 --> 0:33:54.360
<v Speaker 1>the spread and for that matter, in the generation of

0:33:55.160 --> 0:33:58.960
<v Speaker 1>news and information, so that anyone with a cell phone

0:34:00.080 --> 0:34:05.200
<v Speaker 1>hand become a broadcaster or a reporter. The problem is

0:34:05.680 --> 0:34:11.960
<v Speaker 1>that anybody who has done shoe leather investigative reporting in

0:34:12.160 --> 0:34:14.799
<v Speaker 1>one of the great newsrooms of America like the Wall

0:34:14.840 --> 0:34:17.960
<v Speaker 1>Street Journal or or the New York Times or the

0:34:18.000 --> 0:34:21.720
<v Speaker 1>Washington Post or the l A Times, any of the

0:34:21.760 --> 0:34:26.120
<v Speaker 1>great or or once great newspapers in this country or

0:34:26.200 --> 0:34:30.200
<v Speaker 1>magazines for that manner, can tell you that reporting is

0:34:30.520 --> 0:34:34.759
<v Speaker 1>brutally hard work to get it right. It's really hard

0:34:34.800 --> 0:34:38.360
<v Speaker 1>work to do. It's really hard work to prevent yourself

0:34:38.440 --> 0:34:44.160
<v Speaker 1>from injecting your own viewpoint, bias, personality. It's and it's

0:34:44.160 --> 0:34:48.040
<v Speaker 1>absolutely essential to a functioning democrat. It's I mean, it's not.

0:34:48.280 --> 0:34:51.200
<v Speaker 1>The press is not called the fourth Estate for nothing.

0:34:51.760 --> 0:34:55.520
<v Speaker 1>And Charlie Munger's fear, and this is the fear that

0:34:55.680 --> 0:35:01.760
<v Speaker 1>I share, is that when reporting gets atomized the way

0:35:01.800 --> 0:35:06.640
<v Speaker 1>we see it unfolding on the Internet and in social media,

0:35:07.239 --> 0:35:12.400
<v Speaker 1>you don't have that institutional memory and historical tradition, and

0:35:12.480 --> 0:35:18.239
<v Speaker 1>most importantly, that professional training in newsrooms the way you

0:35:18.280 --> 0:35:23.040
<v Speaker 1>once did. You don't have reporters doing two three five

0:35:23.239 --> 0:35:29.840
<v Speaker 1>years of understudy with unmasters, and and so the attention

0:35:29.920 --> 0:35:37.320
<v Speaker 1>to fairness and detail and proper methodology falls by the wayside.

0:35:37.360 --> 0:35:40.000
<v Speaker 1>And if you think about House of Cards, for example,

0:35:40.120 --> 0:35:42.600
<v Speaker 1>the you know, the TV I'm going to call it

0:35:42.600 --> 0:35:46.640
<v Speaker 1>a melodrama with that's very compelling, with Kevin Spacey and

0:35:46.760 --> 0:35:51.520
<v Speaker 1>Robin Wright, House of Cards, House of Games, House of Cards, um,

0:35:52.280 --> 0:35:54.799
<v Speaker 1>you know, in that show, over and over again, you

0:35:54.840 --> 0:35:58.520
<v Speaker 1>see these journalists at a newspaper clearly modeled after the

0:35:58.520 --> 0:36:03.640
<v Speaker 1>Washington Post doing things that are so unscrupulous that if

0:36:03.680 --> 0:36:06.840
<v Speaker 1>you did them once at the Wall Street Journal, you

0:36:06.880 --> 0:36:12.759
<v Speaker 1>would be summarily fired. And it's it now just goes

0:36:12.840 --> 0:36:16.439
<v Speaker 1>without passing, without mention. I think the American public sort

0:36:16.440 --> 0:36:20.800
<v Speaker 1>of takes it for granted that journalists are sloppy creeps who,

0:36:21.200 --> 0:36:25.520
<v Speaker 1>you know, invade people's privacy and lie to their sources regularly,

0:36:25.640 --> 0:36:30.040
<v Speaker 1>and in fact, believe it or not, journalists in a

0:36:30.080 --> 0:36:36.600
<v Speaker 1>traditional newsroom environment are phenomenally ethical people who who would

0:36:36.800 --> 0:36:40.640
<v Speaker 1>you could put most journalists thumb in a screw and

0:36:40.719 --> 0:36:43.040
<v Speaker 1>tighten it before you would get them to tell a lie.

0:36:43.880 --> 0:36:47.120
<v Speaker 1>That I don't disagree with that it's always the bed

0:36:47.160 --> 0:36:51.279
<v Speaker 1>eggs that that spoil everybody's perception. But I want to

0:36:51.440 --> 0:36:55.120
<v Speaker 1>mention something you just said earlier, that anybody with a

0:36:55.200 --> 0:37:00.239
<v Speaker 1>cell phone can can broadcast and and literally, I'm gonna

0:37:00.320 --> 0:37:03.280
<v Speaker 1>do this. I'm gonna do this right now. I'm gonna

0:37:03.440 --> 0:37:08.200
<v Speaker 1>use periscope and broadcast a few seconds of our interview

0:37:08.920 --> 0:37:13.120
<v Speaker 1>off of a phone. That this is fascinating technology that

0:37:13.600 --> 0:37:16.520
<v Speaker 1>did not exist forget twenty five years ago, this didn't

0:37:16.520 --> 0:37:21.600
<v Speaker 1>exist eight months ago. Exactly. It's amazing that the technology

0:37:21.640 --> 0:37:25.280
<v Speaker 1>for this exists today. And so how do you compete

0:37:25.280 --> 0:37:29.319
<v Speaker 1>with that? How do you build a television station and

0:37:29.400 --> 0:37:33.920
<v Speaker 1>go through the training of reporters and journalists when everyone

0:37:33.960 --> 0:37:36.799
<v Speaker 1>and anyone can be a citizen journalist. What happens to

0:37:36.880 --> 0:37:42.239
<v Speaker 1>that business model that digital technology is challenging. It's amazing. Well,

0:37:42.360 --> 0:37:44.480
<v Speaker 1>first of all, Barry, thank you for not pointing the

0:37:44.600 --> 0:37:47.640
<v Speaker 1>camera at your feet. Um. And secondly, I said, can't

0:37:47.680 --> 0:37:51.040
<v Speaker 1>off of shoes and get comfortable, and uh, literally, that's

0:37:51.040 --> 0:37:54.560
<v Speaker 1>what we did. And secondly, I'm you know, look, you're

0:37:54.640 --> 0:37:58.880
<v Speaker 1>raising an incredibly troubling question and we don't yet know

0:37:58.960 --> 0:38:00.719
<v Speaker 1>the answer because we don't how this is going to

0:38:00.800 --> 0:38:06.720
<v Speaker 1>play out. I think ultimately the better emerging news organizations.

0:38:07.480 --> 0:38:09.799
<v Speaker 1>And you know, we could all think of you know,

0:38:09.840 --> 0:38:12.360
<v Speaker 1>some of the candidates right like, you know, maybe Vice

0:38:12.520 --> 0:38:16.239
<v Speaker 1>or some some outfit like that. Um, we'll get the

0:38:16.280 --> 0:38:21.680
<v Speaker 1>capital and the experience and the professionalism that they need

0:38:21.680 --> 0:38:25.120
<v Speaker 1>to build something that competes with the traditional newsroom like

0:38:25.160 --> 0:38:29.759
<v Speaker 1>the Wall Street Journal or Bloomberg, and um, that could

0:38:29.760 --> 0:38:33.880
<v Speaker 1>take a long time now, and ultimately those organizations are

0:38:33.880 --> 0:38:39.680
<v Speaker 1>going to have to cannibalize the existing great news organizations

0:38:40.680 --> 0:38:45.320
<v Speaker 1>to staff themselves up with people who have the experience

0:38:45.560 --> 0:38:52.319
<v Speaker 1>and the ethical background to run uh, proper news organization.

0:38:52.520 --> 0:38:54.520
<v Speaker 1>I'm running, I'm running out of battery here, so I'm

0:38:54.560 --> 0:38:58.759
<v Speaker 1>gonna kill periscope and I think that that's done. But um,

0:38:58.920 --> 0:39:02.759
<v Speaker 1>that was just thirty of that. UM, I think you're

0:39:02.800 --> 0:39:05.400
<v Speaker 1>onto something with that, which which leads me to a

0:39:05.480 --> 0:39:09.320
<v Speaker 1>question I wanted to get to earlier, um, and didn't.

0:39:09.719 --> 0:39:13.040
<v Speaker 1>It's actually two related questions. The first is this comes

0:39:13.120 --> 0:39:16.400
<v Speaker 1>right from you, from your money and your brain. People

0:39:16.400 --> 0:39:20.520
<v Speaker 1>who received frequent news updates on their investments earn lower

0:39:20.560 --> 0:39:25.600
<v Speaker 1>returns than those who get no news whatsoever. Discuss Yeah,

0:39:25.640 --> 0:39:29.280
<v Speaker 1>this is based on a series of fascinating experiments done

0:39:29.320 --> 0:39:33.280
<v Speaker 1>by a psychologist named Paul Andreas and in the nineteen

0:39:33.400 --> 0:39:36.840
<v Speaker 1>eighties he was at Columbia for a while and Harvard,

0:39:37.440 --> 0:39:42.360
<v Speaker 1>and he took UH. He took experimental subjects and divided

0:39:42.400 --> 0:39:46.800
<v Speaker 1>them into two groups. Some got essentially no no updated

0:39:46.840 --> 0:39:53.000
<v Speaker 1>information on their chosen investment portfolios, and others got frequent,

0:39:53.440 --> 0:39:57.480
<v Speaker 1>in fact, almost constant news updates. And then he tracked

0:39:57.480 --> 0:40:01.000
<v Speaker 1>their investment performance. And he found that the more often

0:40:01.040 --> 0:40:04.200
<v Speaker 1>people got news, the more often they traded. And we

0:40:04.280 --> 0:40:06.120
<v Speaker 1>know what the net outcome of that is for the

0:40:06.200 --> 0:40:08.759
<v Speaker 1>average invest The more you trade, the less you learn.

0:40:09.480 --> 0:40:13.840
<v Speaker 1>And it's a direct relationship. It's just if A then B.

0:40:14.520 --> 0:40:19.560
<v Speaker 1>If you get more news information, more updates, you will

0:40:19.640 --> 0:40:24.000
<v Speaker 1>act on it because it will feel informative to you,

0:40:24.080 --> 0:40:26.920
<v Speaker 1>even if it's just even if the news is just noise,

0:40:27.560 --> 0:40:29.600
<v Speaker 1>you will feel you have to act on it because

0:40:29.640 --> 0:40:33.880
<v Speaker 1>it seems like news and it seems significant. I call

0:40:33.920 --> 0:40:39.040
<v Speaker 1>a lot of what gets reported falls into the recency effects. Look,

0:40:39.040 --> 0:40:42.320
<v Speaker 1>we get a non farm payroll every month. It doesn't

0:40:42.320 --> 0:40:45.200
<v Speaker 1>mean that it changes the value of what your investment is.

0:40:45.960 --> 0:40:48.520
<v Speaker 1>And half of the time when it's an aberration to

0:40:48.560 --> 0:40:52.040
<v Speaker 1>the upisode of the downside, it's still within the statistical

0:40:52.200 --> 0:40:57.240
<v Speaker 1>range of probabilities that reflect nothing other than oh, something

0:40:57.320 --> 0:40:59.839
<v Speaker 1>is slightly often this reporting, and so it's a little

0:40:59.840 --> 0:41:02.239
<v Speaker 1>more were a little less than people were expecting, and

0:41:02.320 --> 0:41:06.279
<v Speaker 1>yet everybody reacts and overreacts to it. Yeah, I mean

0:41:06.719 --> 0:41:10.400
<v Speaker 1>we're you know, everyone sort of comes with a default

0:41:10.920 --> 0:41:14.319
<v Speaker 1>hair trigger mechanism. I mean, this example has been used

0:41:14.360 --> 0:41:17.120
<v Speaker 1>so many times it's it's almost dull at this point.

0:41:17.200 --> 0:41:22.240
<v Speaker 1>But you know, in evolutionary time, when our ancestors were

0:41:22.280 --> 0:41:25.799
<v Speaker 1>evolving on the you know, the planes of the African savannah,

0:41:26.280 --> 0:41:29.000
<v Speaker 1>you know, if you thought you might see a lion

0:41:29.680 --> 0:41:32.680
<v Speaker 1>and you overreacted to what you thought was the lion,

0:41:33.600 --> 0:41:38.200
<v Speaker 1>well you lived to you know, pass on, and if

0:41:38.239 --> 0:41:42.200
<v Speaker 1>person was blase about that, not a whole lot of progeny. Right.

0:41:42.360 --> 0:41:45.640
<v Speaker 1>The thing is, most of the time it wasn't a lion.

0:41:46.400 --> 0:41:48.359
<v Speaker 1>Most of the time it was just the wind, you know,

0:41:48.400 --> 0:41:51.080
<v Speaker 1>waving a patch of grass. But that one time it

0:41:51.160 --> 0:41:55.799
<v Speaker 1>was a lion. If you overreacted, you survived and you

0:41:55.880 --> 0:41:58.520
<v Speaker 1>passed your jeans on. And if you underreacted, you were

0:41:58.600 --> 0:42:03.040
<v Speaker 1>lion food. That that makes perfect sense. So I've used

0:42:03.080 --> 0:42:09.600
<v Speaker 1>the phrase behavioral economics repeatedly your behavioral finance. But the

0:42:09.719 --> 0:42:13.200
<v Speaker 1>book Your Your Money, or Your Brain, which you talked

0:42:13.200 --> 0:42:18.720
<v Speaker 1>about the New Science of Neuroeconomics, describe the difference between

0:42:18.760 --> 0:42:22.680
<v Speaker 1>behavioral economics and neurofinance. How do you how do you

0:42:22.680 --> 0:42:24.880
<v Speaker 1>define that? Yeah, it's really I think it's a I

0:42:24.920 --> 0:42:29.520
<v Speaker 1>think it's a very simple distinction. In neuroeconomics or or

0:42:29.560 --> 0:42:38.000
<v Speaker 1>neurofinance simply uses the tools and techniques of neuroscience. Two

0:42:38.640 --> 0:42:45.000
<v Speaker 1>extend existing research and findings in psychology and economics, and

0:42:45.320 --> 0:42:50.160
<v Speaker 1>by those tools and techniques, it's primarily methods of measuring

0:42:50.840 --> 0:42:55.560
<v Speaker 1>brain activity m R. Yeah, like a functional MRI I,

0:42:55.800 --> 0:42:59.160
<v Speaker 1>a pet scan, a cat scan, um. It could also

0:42:59.280 --> 0:43:06.480
<v Speaker 1>be uh various um um uh tools for monitoring brain

0:43:06.520 --> 0:43:10.319
<v Speaker 1>waves or electromagnetic activity in the brain. So so the

0:43:10.360 --> 0:43:12.920
<v Speaker 1>way I like to define that behavioral economics is you

0:43:12.960 --> 0:43:18.120
<v Speaker 1>can see the results of this issue in someone's actual behavior.

0:43:18.200 --> 0:43:21.240
<v Speaker 1>They did this, they bought that, they sold that, whereas

0:43:21.280 --> 0:43:24.880
<v Speaker 1>neuro you're actually looking inside their brain in some way

0:43:25.239 --> 0:43:30.000
<v Speaker 1>and seeing what's going on organically as opposed to behaviorally. Yeah,

0:43:30.080 --> 0:43:33.920
<v Speaker 1>And if you think about it, uh, there's there's not

0:43:34.040 --> 0:43:38.959
<v Speaker 1>much difference between the two in a way behavioral economics

0:43:39.120 --> 0:43:43.839
<v Speaker 1>is telling you what minds do, and neuroeconomics is telling

0:43:43.840 --> 0:43:47.680
<v Speaker 1>you what brains do. It's we already a great distinction.

0:43:48.000 --> 0:43:51.879
<v Speaker 1>We can already observe the behavior. Because somebody buys high

0:43:51.960 --> 0:43:54.680
<v Speaker 1>and sells low. They made a decision in their mind

0:43:54.760 --> 0:43:56.880
<v Speaker 1>to do this. We see, we see their action, we

0:43:56.920 --> 0:44:00.040
<v Speaker 1>see what they did, so we know what happened. What

0:44:00.200 --> 0:44:04.279
<v Speaker 1>neuroeconomics does is it says, these are the specific circuits

0:44:04.320 --> 0:44:09.279
<v Speaker 1>in the brain that generated the behavior you've observed in

0:44:09.280 --> 0:44:12.440
<v Speaker 1>in your psychological experiments. Let me shift gears on you,

0:44:12.520 --> 0:44:15.400
<v Speaker 1>and and let's talk a little bit about the problem

0:44:15.440 --> 0:44:20.400
<v Speaker 1>with predictions. What's the problem? So we all make forecasts. Everybody,

0:44:20.400 --> 0:44:22.560
<v Speaker 1>everybody in will state has a Here's where the d

0:44:22.680 --> 0:44:24.760
<v Speaker 1>will be in a year. Here's what I think these

0:44:25.040 --> 0:44:29.160
<v Speaker 1>earnings are gonna be. What's the problem with predictions. Well,

0:44:29.200 --> 0:44:32.440
<v Speaker 1>I think that there's a there's many problems with them, Barry.

0:44:32.600 --> 0:44:35.640
<v Speaker 1>I think the first problem is that people are people

0:44:35.680 --> 0:44:41.560
<v Speaker 1>are very poor at learning from their predictive errors, particularly

0:44:42.160 --> 0:44:45.719
<v Speaker 1>when the consequences aren't high or the feedback is noisy.

0:44:45.800 --> 0:44:48.720
<v Speaker 1>To define that, what do you mean by that? Well,

0:44:49.280 --> 0:44:54.000
<v Speaker 1>think about it this way. I'm you know. Uh, think

0:44:54.040 --> 0:44:57.440
<v Speaker 1>of the quarterfinal match in the US Open between the

0:44:57.520 --> 0:45:01.520
<v Speaker 1>Williams sisters. You know, Venus and Serena are playing. Every

0:45:01.560 --> 0:45:08.360
<v Speaker 1>stroke has three characteristics. The feedback their feedback of every stroke.

0:45:08.880 --> 0:45:13.560
<v Speaker 1>So if Venus hits the ball, it's in or it's out,

0:45:14.560 --> 0:45:17.760
<v Speaker 1>and she knows that immediately. So the feedback is prompt

0:45:17.840 --> 0:45:24.120
<v Speaker 1>and it's unambiguous. Secondly, every stroke matters. It's consequential if

0:45:24.800 --> 0:45:27.440
<v Speaker 1>if you miss too many shots, you lose, and you

0:45:27.560 --> 0:45:30.440
<v Speaker 1>lose millions of dollars in front of millions of people.

0:45:30.800 --> 0:45:33.640
<v Speaker 1>Other than that, though, really it's just a game. Other

0:45:33.680 --> 0:45:36.600
<v Speaker 1>than that, it's just a game. So in in a

0:45:36.719 --> 0:45:41.880
<v Speaker 1>sport like professional tennis, feedback is extremely reliable, in a

0:45:42.000 --> 0:45:46.000
<v Speaker 1>very powerful way of learning from your mistakes. If you

0:45:46.080 --> 0:45:49.640
<v Speaker 1>take it seriously and you practice, you will get good

0:45:49.680 --> 0:45:54.600
<v Speaker 1>at it. You'll get a lot better. The financial markets

0:45:54.600 --> 0:46:01.440
<v Speaker 1>are different. The feedback is not prompt out nor isn't unambiguous.

0:46:02.000 --> 0:46:05.799
<v Speaker 1>I mean, let's say you and I decide today Netflix

0:46:06.400 --> 0:46:10.319
<v Speaker 1>is going up, so we buy Netflix. Well, on the

0:46:10.360 --> 0:46:15.040
<v Speaker 1>next tick, Netflix goes up, so we're right. But the

0:46:15.120 --> 0:46:18.560
<v Speaker 1>next ticket goes down and now we're wrong, so we

0:46:18.600 --> 0:46:20.399
<v Speaker 1>get up. We go to the bathroom. We come back,

0:46:20.400 --> 0:46:23.120
<v Speaker 1>it's up. We're right. We go out for lunch, we

0:46:23.200 --> 0:46:25.600
<v Speaker 1>come back, it's down. Now we're wrong. What is the

0:46:25.640 --> 0:46:29.680
<v Speaker 1>feedback telling us? It's really noisy. The feedback is noise.

0:46:30.000 --> 0:46:34.680
<v Speaker 1>Prices fluctuated, that's what it's telling you. So there is

0:46:34.880 --> 0:46:38.960
<v Speaker 1>useful feedback in market prices, but it takes a long

0:46:39.080 --> 0:46:42.479
<v Speaker 1>time to unfold, and you have to develop a real

0:46:42.560 --> 0:46:45.680
<v Speaker 1>skill in interpreting the feedback, and a lot of people

0:46:45.760 --> 0:46:48.320
<v Speaker 1>can't do that. And the task at the same time

0:46:48.640 --> 0:46:52.360
<v Speaker 1>manage the money or uh, you know, pick the particular

0:46:52.440 --> 0:46:56.520
<v Speaker 1>securities and the consequences. The consequences for a lot of

0:46:56.560 --> 0:46:59.480
<v Speaker 1>people are enormous. It depends how much skin you have

0:46:59.520 --> 0:47:02.879
<v Speaker 1>in the game, right, how much of your reputation, your

0:47:02.920 --> 0:47:07.319
<v Speaker 1>personal reputation is riding on the line. If you're an employee,

0:47:08.480 --> 0:47:11.040
<v Speaker 1>just a face in a crowd at a giant asset

0:47:11.120 --> 0:47:16.040
<v Speaker 1>management firm, uh, consequences might not be all that great.

0:47:16.440 --> 0:47:20.120
<v Speaker 1>The consequences for you aren't in being right or wrong.

0:47:20.719 --> 0:47:23.520
<v Speaker 1>It's whether you're right or wrong relative to the crowd.

0:47:25.000 --> 0:47:29.160
<v Speaker 1>And so you're not concerned with your absolute performance, whether

0:47:29.200 --> 0:47:31.880
<v Speaker 1>what you did is right or wrong. You're concerned whether

0:47:31.880 --> 0:47:35.520
<v Speaker 1>you're gonna stand out for doing something different that might

0:47:35.680 --> 0:47:38.319
<v Speaker 1>make you or the firm look foolish. Career risk is

0:47:38.360 --> 0:47:41.359
<v Speaker 1>that is that what you're It's career risk. And so

0:47:41.880 --> 0:47:47.400
<v Speaker 1>if avoiding career risk steers you toward making timid or

0:47:47.520 --> 0:47:54.240
<v Speaker 1>sub optimal decisions, you can't learn from normal feedback because

0:47:54.239 --> 0:47:57.560
<v Speaker 1>the feedback you care about is am I increasing or

0:47:57.640 --> 0:48:01.600
<v Speaker 1>decreasing my career risk as opposed to am I doing

0:48:01.680 --> 0:48:06.520
<v Speaker 1>better or worse? As an investor invest investments. That's quite fascinating.

0:48:07.040 --> 0:48:11.560
<v Speaker 1>So so when we look at predictions in general, you're

0:48:11.600 --> 0:48:16.319
<v Speaker 1>looking at them with that three pronged analysis, similar to

0:48:16.320 --> 0:48:18.560
<v Speaker 1>the way you would look at a sporting event, only

0:48:19.400 --> 0:48:22.480
<v Speaker 1>the results, the timeline, and the all three things are

0:48:22.640 --> 0:48:27.279
<v Speaker 1>totally different. Yeah, and you know there's I think the

0:48:27.320 --> 0:48:30.000
<v Speaker 1>other thing that makes all of this baffling is we

0:48:30.600 --> 0:48:33.400
<v Speaker 1>in in daily life, we have a general belief and

0:48:33.440 --> 0:48:37.120
<v Speaker 1>it's been popularized as sort of the ten thousand hours rule,

0:48:37.440 --> 0:48:41.440
<v Speaker 1>you know, outlawyer rule, Mountain Glass exactly if you if

0:48:41.480 --> 0:48:45.680
<v Speaker 1>you just practice anything long enough and hard enough, you'll

0:48:45.680 --> 0:48:48.319
<v Speaker 1>get good at it. If that was true, wouldn't all

0:48:48.360 --> 0:48:50.600
<v Speaker 1>the best fund managers be the guys who've been around

0:48:50.640 --> 0:48:53.720
<v Speaker 1>the longest. Yes. And also if that were true, everyone

0:48:53.760 --> 0:48:57.560
<v Speaker 1>would be the Beatles. Everyone who's ever everyone who's ever

0:48:57.600 --> 0:49:00.160
<v Speaker 1>spent a lot of time plucking on and get are

0:49:00.320 --> 0:49:05.680
<v Speaker 1>would would be Eric Clapton. And it's not really true

0:49:05.840 --> 0:49:11.600
<v Speaker 1>because the second essential criterion, the other thing you have

0:49:11.680 --> 0:49:14.080
<v Speaker 1>to have, is good feedback. I mean, if you you

0:49:14.120 --> 0:49:17.760
<v Speaker 1>could spend thirty hours playing guitar, but if you're tone

0:49:17.800 --> 0:49:21.719
<v Speaker 1>deaf and you don't know you stink and nobody will

0:49:21.760 --> 0:49:25.040
<v Speaker 1>tell you stink, you'll never get good. Well, you'll figure

0:49:25.040 --> 0:49:26.879
<v Speaker 1>it out when they're not buying your albums or going

0:49:26.920 --> 0:49:29.279
<v Speaker 1>to your concerts, or when they're paying or when they're

0:49:29.280 --> 0:49:31.920
<v Speaker 1>paying you not to play. That's a whole different Uh,

0:49:32.480 --> 0:49:37.919
<v Speaker 1>that's a whole different issue. Um. Another random question. Does

0:49:38.000 --> 0:49:42.240
<v Speaker 1>money by happiness or is it the anticipation of money

0:49:42.280 --> 0:49:45.160
<v Speaker 1>that leads to happiness? Well, yeah, I talked about this

0:49:45.320 --> 0:49:48.319
<v Speaker 1>quite a bit in in my earlier book Your Money

0:49:48.360 --> 0:49:54.799
<v Speaker 1>in Your Brain and anticipation based on the on the

0:49:54.880 --> 0:49:58.319
<v Speaker 1>research that's been done, I think is more of what

0:49:58.360 --> 0:50:03.640
<v Speaker 1>I would call a hot state than I'm actually receiving

0:50:03.640 --> 0:50:09.840
<v Speaker 1>a gain. So thinking about or imagining or contemplating the money,

0:50:09.880 --> 0:50:12.440
<v Speaker 1>you'll make if you turn out to be right, is

0:50:12.719 --> 0:50:16.839
<v Speaker 1>probably more at least as rewarding as getting the money is.

0:50:17.600 --> 0:50:22.440
<v Speaker 1>I've used that analysis as an explanation for sell the News,

0:50:22.520 --> 0:50:25.280
<v Speaker 1>and you you kind of imply that in the book

0:50:25.280 --> 0:50:29.120
<v Speaker 1>as well. Ye. So, so put it into context of investing.

0:50:29.680 --> 0:50:33.680
<v Speaker 1>Why do stock prices run up to a quarterly earning

0:50:34.040 --> 0:50:36.600
<v Speaker 1>then you get a good earnings number and the stock

0:50:36.719 --> 0:50:41.760
<v Speaker 1>goes down? Yeah, there's there's There was a fascinating study

0:50:41.800 --> 0:50:45.759
<v Speaker 1>published in Science magazine, which, as many of our listeners know,

0:50:46.000 --> 0:50:49.960
<v Speaker 1>is the is the pre eminent journal of science in

0:50:50.320 --> 0:50:53.719
<v Speaker 1>the US, and it it looked at monkey brains and

0:50:53.760 --> 0:50:58.600
<v Speaker 1>they recorded from single neurons deep in the dopamine centers

0:50:58.680 --> 0:51:03.160
<v Speaker 1>of the monkey's brains how they responded. And essentially, when

0:51:03.400 --> 0:51:11.600
<v Speaker 1>the monkey receives an expected reward, the dopamine generation at

0:51:11.600 --> 0:51:15.480
<v Speaker 1>the time the reward is received goes down, So the

0:51:15.520 --> 0:51:20.479
<v Speaker 1>dopamine activity ramps up as the monkey recognizes the predictive queue.

0:51:20.719 --> 0:51:23.480
<v Speaker 1>Here comes the banana. Here comes the banana. In this

0:51:23.520 --> 0:51:26.280
<v Speaker 1>case it was it was sugar water, but same idea.

0:51:26.360 --> 0:51:28.920
<v Speaker 1>Here comes here comes the banana. I'm going to get

0:51:28.920 --> 0:51:33.800
<v Speaker 1>the banana. The bananas coming, and that's when the dopamine peaks,

0:51:34.520 --> 0:51:37.560
<v Speaker 1>then the monkey actually gets the banana and he's like, oh,

0:51:37.640 --> 0:51:40.759
<v Speaker 1>I got the banana. I've been wanting all along. And

0:51:41.360 --> 0:51:45.000
<v Speaker 1>so that activity peaks and then it drops. And I

0:51:45.040 --> 0:51:48.759
<v Speaker 1>think that's why so often in the stock market you

0:51:48.840 --> 0:51:51.600
<v Speaker 1>see the price of you see the company's stock price

0:51:51.800 --> 0:51:55.840
<v Speaker 1>just ramp up and and go parabolic when people are

0:51:55.880 --> 0:51:58.719
<v Speaker 1>expecting a positive earning surprise, the company is going to

0:51:58.840 --> 0:52:02.920
<v Speaker 1>exceed analysts expectations. Then the actual learnings come out and

0:52:03.120 --> 0:52:06.440
<v Speaker 1>exactly what people thought they would be just as good,

0:52:06.840 --> 0:52:09.160
<v Speaker 1>and it goes down. It's a disappointment. There's a Spock

0:52:09.320 --> 0:52:12.080
<v Speaker 1>quote from Star Trek which I won't even attempt, but

0:52:12.120 --> 0:52:16.719
<v Speaker 1>it's the same concept of wanting generating more satisfaction than

0:52:16.760 --> 0:52:21.719
<v Speaker 1>actually having. And I find that that fascinating so related

0:52:21.760 --> 0:52:25.480
<v Speaker 1>to some of um these cognitive issues. Um, what was

0:52:25.520 --> 0:52:29.280
<v Speaker 1>it like working with Danny Kahneman on thinking fast and Slow? What?

0:52:29.280 --> 0:52:32.879
<v Speaker 1>What were your contributions, uh to the book? He I'm

0:52:32.920 --> 0:52:34.680
<v Speaker 1>trying to remember if he thanked you in his Nobel

0:52:34.760 --> 0:52:39.440
<v Speaker 1>speech or not, but I didn't, But I I I

0:52:39.920 --> 0:52:43.000
<v Speaker 1>read the book, or I read the first three quarters

0:52:43.040 --> 0:52:46.000
<v Speaker 1>of the book on a beach some years ago and

0:52:46.000 --> 0:52:50.480
<v Speaker 1>found it just absolutely fascinating stuff. Well, we're you know,

0:52:50.560 --> 0:52:52.640
<v Speaker 1>working with Danny was one of the was one of

0:52:52.640 --> 0:52:56.480
<v Speaker 1>the great experiences of of my life. Um, certainly one

0:52:56.520 --> 0:53:00.439
<v Speaker 1>of the great learning experiences. UM. You know. He he's

0:53:00.480 --> 0:53:06.960
<v Speaker 1>got a remarkable mind and um, he questions everything, and

0:53:07.080 --> 0:53:13.400
<v Speaker 1>he has he has that wonderful ability that most of

0:53:13.480 --> 0:53:18.759
<v Speaker 1>us losing our intellectual lifetime of putting ourselves almost into

0:53:18.800 --> 0:53:23.840
<v Speaker 1>the shoes of a child and saying just asking why

0:53:23.880 --> 0:53:30.040
<v Speaker 1>why is that? And he's often completely baffled by things

0:53:30.239 --> 0:53:35.160
<v Speaker 1>that everyone takes for granted as an as an accepted truth,

0:53:35.360 --> 0:53:37.319
<v Speaker 1>and he he just sort of scratches his head in

0:53:37.360 --> 0:53:40.640
<v Speaker 1>front of it, says, well why do people think that?

0:53:40.920 --> 0:53:43.400
<v Speaker 1>And it's not that he's doubting it, he just genuinely

0:53:43.480 --> 0:53:46.640
<v Speaker 1>doesn't know. And part of that is because he has

0:53:47.640 --> 0:53:51.640
<v Speaker 1>the most perfectly calibrated sense of what he knows. I

0:53:51.719 --> 0:53:54.680
<v Speaker 1>think of anybody I've ever certainly anybody I've ever worked with,

0:53:54.760 --> 0:53:58.520
<v Speaker 1>no Dunning Kruger effect. They're very, very very little. I

0:53:58.640 --> 0:54:02.319
<v Speaker 1>only saw it once, which was the first day we

0:54:02.360 --> 0:54:07.439
<v Speaker 1>worked physically together on the book in his apartment, when

0:54:08.000 --> 0:54:11.200
<v Speaker 1>he talked about the planning fallacy which I know you're

0:54:11.239 --> 0:54:15.920
<v Speaker 1>familiar with, Barry, but I'll explain it for for our listeners. Uh.

0:54:15.960 --> 0:54:18.440
<v Speaker 1>He likes to tell a famous a story that's become

0:54:18.520 --> 0:54:23.359
<v Speaker 1>famous about one of the first major projects that he

0:54:23.480 --> 0:54:27.320
<v Speaker 1>undertook when he was a young psychologist on the rise

0:54:28.640 --> 0:54:32.839
<v Speaker 1>in Israel at the Hebrew University in Jerusalem. And um,

0:54:32.920 --> 0:54:36.640
<v Speaker 1>he and some of his colleagues were working on rewriting

0:54:37.960 --> 0:54:42.120
<v Speaker 1>the standard high school psychology textbook for students in Israel.

0:54:42.719 --> 0:54:45.880
<v Speaker 1>And that's a big undertaking because it's a you know,

0:54:46.000 --> 0:54:49.799
<v Speaker 1>it's it's basically a core part of the curriculum. You

0:54:49.800 --> 0:54:54.839
<v Speaker 1>have to start the textbook from scratch and um. So

0:54:56.080 --> 0:54:59.160
<v Speaker 1>they asked each other, well, how long we should this take?

0:55:00.120 --> 0:55:02.520
<v Speaker 1>And so one of them said, oh, I mean, how

0:55:02.520 --> 0:55:05.240
<v Speaker 1>could it take more than seven or eight months? Another

0:55:05.239 --> 0:55:08.480
<v Speaker 1>one said maybe a year? And somebody else said, I

0:55:08.520 --> 0:55:10.640
<v Speaker 1>don't know, a year and a half or something. And

0:55:10.719 --> 0:55:14.239
<v Speaker 1>Danny's just sitting there listening, puzzled the same way I

0:55:14.360 --> 0:55:17.680
<v Speaker 1>just described. And then he so he turned, he gets

0:55:17.719 --> 0:55:19.840
<v Speaker 1>a lightbulb and he over his head and he turns

0:55:19.920 --> 0:55:25.240
<v Speaker 1>to the dean of education at the at the school

0:55:25.239 --> 0:55:29.280
<v Speaker 1>they were affiliated with, the Humor University, and says to him,

0:55:29.320 --> 0:55:33.759
<v Speaker 1>you know, are you aware of other teams, other groups

0:55:33.760 --> 0:55:38.480
<v Speaker 1>that have done similar projects like this one? And the

0:55:38.520 --> 0:55:41.799
<v Speaker 1>dean says, well, yeah, you know now that you mention it,

0:55:42.920 --> 0:55:46.040
<v Speaker 1>I am, And that didn't occur to me before because

0:55:46.120 --> 0:55:47.920
<v Speaker 1>he was one of the people who had given this

0:55:48.120 --> 0:55:51.759
<v Speaker 1>low estimate of ten months or something like that. So

0:55:51.880 --> 0:55:57.600
<v Speaker 1>Danny says, oh, so, of those groups, what what was

0:55:57.680 --> 0:56:02.000
<v Speaker 1>the average length of time took them to complete the textbook?

0:56:02.800 --> 0:56:05.280
<v Speaker 1>So the dean sort of pulls his chin for a while,

0:56:05.400 --> 0:56:08.600
<v Speaker 1>and everyone in the room is sort of shifting uneasily

0:56:08.680 --> 0:56:11.919
<v Speaker 1>in their seats, and after a long pause, he says, well,

0:56:13.560 --> 0:56:19.960
<v Speaker 1>I guess of those who completed a similar project, I

0:56:20.000 --> 0:56:24.880
<v Speaker 1>think it took on average about four years, not counting

0:56:24.920 --> 0:56:27.200
<v Speaker 1>the guys who were still working and having closed the

0:56:27.960 --> 0:56:32.120
<v Speaker 1>and so and so. Then Danny says, oh, okay, and

0:56:32.640 --> 0:56:35.799
<v Speaker 1>what about the ones and how many how many of

0:56:35.840 --> 0:56:41.239
<v Speaker 1>these teams would you say never completed it? And he said, oh,

0:56:41.440 --> 0:56:44.239
<v Speaker 1>I guess forty or fifty percent, And so the room

0:56:44.320 --> 0:56:49.120
<v Speaker 1>goes dead silent. And so the corollary to this is

0:56:49.160 --> 0:56:52.879
<v Speaker 1>that they finally did finish the textbook, it took either

0:56:53.120 --> 0:56:58.759
<v Speaker 1>seven or nine years, and if I think there's a

0:56:58.760 --> 0:57:01.560
<v Speaker 1>second correla, I think I'm remembering this right was never

0:57:01.600 --> 0:57:07.560
<v Speaker 1>actually used and yeah, it was out of it. And

0:57:07.640 --> 0:57:09.840
<v Speaker 1>so so the first day Danny and I are working

0:57:09.880 --> 0:57:11.759
<v Speaker 1>on the book, he says to me, I really want

0:57:11.760 --> 0:57:14.319
<v Speaker 1>to avoid the planning fallacy. And by the way, I

0:57:14.360 --> 0:57:17.400
<v Speaker 1>forgot Barry the just to sort of take this the

0:57:17.440 --> 0:57:22.360
<v Speaker 1>final turn. The reason the planning fallacy is relevant because

0:57:22.360 --> 0:57:27.640
<v Speaker 1>it brings out a basic flaw in human cognition, which is,

0:57:27.680 --> 0:57:32.120
<v Speaker 1>when we're faced with any challenge or any set of data,

0:57:32.320 --> 0:57:34.480
<v Speaker 1>what we tend to do is we think in very

0:57:34.600 --> 0:57:38.240
<v Speaker 1>narrow framing. So you and I are going to write

0:57:38.240 --> 0:57:41.080
<v Speaker 1>this textbook. So we think about and we talked to

0:57:41.080 --> 0:57:43.720
<v Speaker 1>each other and we and you say, well, you know,

0:57:43.840 --> 0:57:47.120
<v Speaker 1>I'm good at this, and I say, well you're good

0:57:47.120 --> 0:57:51.520
<v Speaker 1>at it, I'm better. And we think about how qualified

0:57:51.600 --> 0:57:54.440
<v Speaker 1>we are to do this, how excited we are about

0:57:54.560 --> 0:57:57.680
<v Speaker 1>performing this task, and all we can really focus on

0:57:58.360 --> 0:58:01.800
<v Speaker 1>is how we're going to do it better, faster and

0:58:02.480 --> 0:58:06.720
<v Speaker 1>um and more perfectly than anybody who's ever done it before.

0:58:07.000 --> 0:58:10.320
<v Speaker 1>But we don't ask ourselves what's the success rate of

0:58:10.400 --> 0:58:14.520
<v Speaker 1>people who have tried this. There's a database of all

0:58:14.520 --> 0:58:17.000
<v Speaker 1>the other people who've tried it, what is it? What's

0:58:17.000 --> 0:58:19.720
<v Speaker 1>in the data? And so we don't look at the

0:58:19.720 --> 0:58:24.280
<v Speaker 1>base rate. And that's Danny Kahneman is all about base rates.

0:58:24.360 --> 0:58:27.520
<v Speaker 1>And so the wonderful line he gave me that I

0:58:27.600 --> 0:58:29.880
<v Speaker 1>use all the time in my thinking and in my

0:58:29.920 --> 0:58:33.520
<v Speaker 1>writing is he once said to me, the single most

0:58:33.600 --> 0:58:37.600
<v Speaker 1>important question is what is the base rate? It's so

0:58:37.680 --> 0:58:41.160
<v Speaker 1>funny you you bring this up today. This is absolutely true.

0:58:41.720 --> 0:58:44.000
<v Speaker 1>I was having a discussion on the train on the

0:58:44.000 --> 0:58:48.080
<v Speaker 1>way in about a woman I work with work. A

0:58:48.120 --> 0:58:52.680
<v Speaker 1>woman I commute with is in fashion, and she's she's

0:58:52.760 --> 0:58:56.360
<v Speaker 1>on the train. She's always having these angry like she

0:58:56.480 --> 0:59:01.520
<v Speaker 1>pulls out her her phone so annoyed and she sends

0:59:02.000 --> 0:59:05.760
<v Speaker 1>nasty emails to people, and I go, what's today? She goes,

0:59:05.920 --> 0:59:08.720
<v Speaker 1>I get this email from somebody saying that they were

0:59:08.920 --> 0:59:11.320
<v Speaker 1>so they do these long. I won't mention the brand,

0:59:11.720 --> 0:59:15.280
<v Speaker 1>but one of us is wearing it, and it's um

0:59:15.320 --> 0:59:18.920
<v Speaker 1>it's a very well known, famous brand. And she'll get

0:59:18.960 --> 0:59:23.440
<v Speaker 1>this run off of a production line and three of

0:59:23.480 --> 0:59:27.320
<v Speaker 1>them were terrible. Oh we have three, and she I go, so,

0:59:27.880 --> 0:59:29.920
<v Speaker 1>why are you angry? She goes, three out of what

0:59:30.080 --> 0:59:32.680
<v Speaker 1>three out of fifty three a fifty thousand. I don't

0:59:32.680 --> 0:59:34.880
<v Speaker 1>know what this means. And I said to her that's

0:59:34.880 --> 0:59:39.440
<v Speaker 1>called numerator blindness or denominator Basically, they're giving you the

0:59:40.000 --> 0:59:43.840
<v Speaker 1>numerator and ignoring the context of how many of this? So,

0:59:43.960 --> 0:59:46.960
<v Speaker 1>so the denominator blindness is So, if you want to

0:59:47.000 --> 0:59:50.560
<v Speaker 1>impress the person who's sending you this adiotic there were

0:59:50.640 --> 0:59:54.240
<v Speaker 1>three bad units out of the production run, tell them

0:59:54.280 --> 0:59:57.240
<v Speaker 1>you have denominator blindness. You're not aware of the context

0:59:57.240 --> 0:59:59.880
<v Speaker 1>from the lower You're only giving me the top number

1:00:00.040 --> 1:00:02.880
<v Speaker 1>with no frame of reference. Correct. But but that that

1:00:02.960 --> 1:00:06.000
<v Speaker 1>reminds me very similar to what is the basics? What

1:00:06.120 --> 1:00:09.520
<v Speaker 1>is what is the base rate? Exactly? So you know.

1:00:09.640 --> 1:00:13.600
<v Speaker 1>So Danny says to me that first day, of all people,

1:00:13.800 --> 1:00:15.600
<v Speaker 1>I don't want to be the one who commits the

1:00:15.600 --> 1:00:19.120
<v Speaker 1>planning fallacy. I don't want us in a book on

1:00:19.240 --> 1:00:21.520
<v Speaker 1>cognitive bias, in a book that is going to talk

1:00:21.560 --> 1:00:25.200
<v Speaker 1>about the planning house. So, uh, I want us to

1:00:25.240 --> 1:00:28.280
<v Speaker 1>figure out together how long this is likely to take,

1:00:28.560 --> 1:00:30.840
<v Speaker 1>so that we know what we're in for. And so

1:00:30.880 --> 1:00:33.680
<v Speaker 1>we had a long conversation and he has a method

1:00:33.760 --> 1:00:37.400
<v Speaker 1>for d biasing the planning fallacy, and we went through

1:00:37.440 --> 1:00:42.680
<v Speaker 1>really perfectly, and at the end we concluded it should

1:00:42.680 --> 1:00:45.280
<v Speaker 1>take a year and a half to two years, two years,

1:00:45.800 --> 1:00:47.760
<v Speaker 1>and so I worked on the project with him for

1:00:47.800 --> 1:00:50.600
<v Speaker 1>two years until you know, I had other things that

1:00:50.960 --> 1:00:54.560
<v Speaker 1>were demanding my attention. Um, but for those two years

1:00:54.600 --> 1:00:56.480
<v Speaker 1>it was pretty much a full time job for me

1:00:56.640 --> 1:00:59.800
<v Speaker 1>and for him for that matter. And so at the

1:00:59.880 --> 1:01:03.600
<v Speaker 1>end to those two years, he said, I'm about a

1:01:03.640 --> 1:01:08.960
<v Speaker 1>third done, I think. And it took another I think

1:01:10.040 --> 1:01:13.440
<v Speaker 1>three or four years after that, no kidding. So so

1:01:13.480 --> 1:01:15.640
<v Speaker 1>he was right when he when he said he was

1:01:15.680 --> 1:01:19.480
<v Speaker 1>a third done. Uh yeah, except he was wrong in

1:01:19.520 --> 1:01:22.840
<v Speaker 1>the beginning when we when we decided it would take

1:01:22.880 --> 1:01:28.280
<v Speaker 1>two years. So you know, when I said that, he

1:01:28.280 --> 1:01:33.360
<v Speaker 1>he he has a remarkable sense of his own limitations.

1:01:33.400 --> 1:01:36.240
<v Speaker 1>That was one issue where I think, but even there,

1:01:36.240 --> 1:01:38.400
<v Speaker 1>he was aware of the fact that that was a problem.

1:01:38.520 --> 1:01:40.440
<v Speaker 1>He knew it was a problem. He it's just the

1:01:40.520 --> 1:01:44.680
<v Speaker 1>d biasing method didn't work well. And it's very difficult

1:01:44.720 --> 1:01:49.720
<v Speaker 1>for most people to the bias, especially considering so many

1:01:49.760 --> 1:01:53.000
<v Speaker 1>people are so unaware of their own biases. How can

1:01:53.040 --> 1:01:58.000
<v Speaker 1>you protect yourself if you simply have no conception that hey,

1:01:58.040 --> 1:02:00.400
<v Speaker 1>I have a cognitive bias he or or I have

1:02:00.600 --> 1:02:04.040
<v Speaker 1>some aside from the fact that most many of these

1:02:04.040 --> 1:02:07.760
<v Speaker 1>are already hardwired into you. If you're unaware of your

1:02:07.960 --> 1:02:10.920
<v Speaker 1>confirmation bias, how are you going to avoid it? I

1:02:11.360 --> 1:02:13.840
<v Speaker 1>tell people the reason we study this is so at

1:02:13.920 --> 1:02:17.360
<v Speaker 1>least you have a fighting chance to be biasues. That

1:02:17.520 --> 1:02:21.560
<v Speaker 1>is key. I mean, the biggest problem with the findings

1:02:21.640 --> 1:02:26.240
<v Speaker 1>of behavioral economics is that most of the biases it

1:02:26.360 --> 1:02:31.520
<v Speaker 1>identifies are unconscious, and by definition, you don't know you

1:02:31.640 --> 1:02:34.920
<v Speaker 1>have this bias. So the single most powerful thing that

1:02:35.000 --> 1:02:37.080
<v Speaker 1>you can do as an investor or for that manner,

1:02:37.160 --> 1:02:41.080
<v Speaker 1>a consumer of information, or just an intelligent citizen is

1:02:41.440 --> 1:02:44.520
<v Speaker 1>to use techniques to try to surface those biases in

1:02:44.560 --> 1:02:47.360
<v Speaker 1>your own mind, at least make yourself aware of them.

1:02:47.440 --> 1:02:50.640
<v Speaker 1>You know, It's funny because coming out of a legal background,

1:02:51.200 --> 1:02:55.320
<v Speaker 1>where the mood court exercises, basically, you prepare a case

1:02:55.840 --> 1:02:58.280
<v Speaker 1>and at any point in time you may be forced

1:02:58.320 --> 1:03:00.600
<v Speaker 1>to argue the other side of the case, and it

1:03:00.720 --> 1:03:04.800
<v Speaker 1>really gives you some degree of objectivity as to the

1:03:04.840 --> 1:03:08.840
<v Speaker 1>strength and weaknesses of your arguments. And I started as

1:03:08.880 --> 1:03:11.480
<v Speaker 1>a trader, and this was always something that was drilled

1:03:11.520 --> 1:03:14.640
<v Speaker 1>into me. Hey, it doesn't matter if you're long or short.

1:03:14.680 --> 1:03:18.800
<v Speaker 1>You have to be ready when the circumstances change to

1:03:18.880 --> 1:03:20.920
<v Speaker 1>get out of that position to take the other position.

1:03:21.240 --> 1:03:23.360
<v Speaker 1>I think a lot of people don't go through those

1:03:23.400 --> 1:03:26.200
<v Speaker 1>sort of processes of saying because we have this whole

1:03:26.240 --> 1:03:29.120
<v Speaker 1>conversation all the time, Hey, are you a bull or

1:03:29.120 --> 1:03:32.960
<v Speaker 1>a bear? Uh? You know, I'm whatever makes sense at

1:03:32.960 --> 1:03:35.880
<v Speaker 1>the moment, and don't feel the need to declare a

1:03:35.960 --> 1:03:38.720
<v Speaker 1>major and stick to that regardless of what what the

1:03:38.760 --> 1:03:41.680
<v Speaker 1>evidence says. Yeah, and it isn't an interesting barrier that,

1:03:41.760 --> 1:03:46.880
<v Speaker 1>despite how badly reviled, the legal profession is almost as

1:03:46.880 --> 1:03:52.360
<v Speaker 1>badly as financial journalism. When people are trying to figure

1:03:52.400 --> 1:03:55.000
<v Speaker 1>out whether there's a conflict of interest at hand, they

1:03:55.040 --> 1:03:58.560
<v Speaker 1>do call in lawyers because lawyers are better at evaluating

1:03:58.600 --> 1:04:02.120
<v Speaker 1>that than most other profession. Doctors are not good at it.

1:04:02.440 --> 1:04:04.720
<v Speaker 1>People on Wall Street are not good at it, and

1:04:04.760 --> 1:04:07.080
<v Speaker 1>a lot of financial journalists, for that matter, are not

1:04:07.120 --> 1:04:09.840
<v Speaker 1>good at it. You have to be able to step

1:04:09.880 --> 1:04:12.800
<v Speaker 1>back and look at both sides of the argument, and

1:04:12.880 --> 1:04:16.480
<v Speaker 1>that's a bigger challenge. That's that's a skill set that

1:04:16.520 --> 1:04:19.600
<v Speaker 1>you have to learn. It doesn't necessarily come easy. Once

1:04:19.640 --> 1:04:21.520
<v Speaker 1>you kind of get into a groove of it, it

1:04:21.600 --> 1:04:24.080
<v Speaker 1>becomes something that can be done. All right, I know

1:04:24.160 --> 1:04:25.960
<v Speaker 1>I don't have you all day, so let me get

1:04:25.960 --> 1:04:31.120
<v Speaker 1>to some of my favorite questions that I ask everybody. UM.

1:04:31.440 --> 1:04:34.560
<v Speaker 1>In the last ten or fifteen minutes we have, UM,

1:04:34.600 --> 1:04:38.080
<v Speaker 1>you've mentioned some of your mentors. Who are your earliest mentors,

1:04:38.120 --> 1:04:45.720
<v Speaker 1>either as a journalist or a UM neuroeconomic neuro economists,

1:04:46.120 --> 1:04:49.560
<v Speaker 1>neuro finances as a journalist who your early mentioned I'm

1:04:49.600 --> 1:04:52.120
<v Speaker 1>gonna I think I'm just going to mention one people,

1:04:52.480 --> 1:04:56.160
<v Speaker 1>one person out of all the people I could mention.

1:04:56.840 --> 1:05:00.640
<v Speaker 1>UM my beloved editor at Forbes, jim My Coles, who

1:05:00.720 --> 1:05:05.600
<v Speaker 1>was the long time editor of the magazine and far

1:05:05.640 --> 1:05:08.360
<v Speaker 1>and away one of the most brilliant editors I or

1:05:08.400 --> 1:05:14.040
<v Speaker 1>anyone else I have ever encountered. And in when I

1:05:14.120 --> 1:05:18.400
<v Speaker 1>was a young reporter at Forbes, Jim uh decided that

1:05:18.480 --> 1:05:24.560
<v Speaker 1>I would be the mutual funds editor, and I'm uh.

1:05:24.680 --> 1:05:27.200
<v Speaker 1>The one thing I remembered in the nick of time

1:05:27.400 --> 1:05:30.240
<v Speaker 1>was that that had been his first major job when

1:05:30.320 --> 1:05:33.200
<v Speaker 1>he came to the magazine in the nineteen fifties. So

1:05:33.360 --> 1:05:37.160
<v Speaker 1>I knew better than to show disappointment on my face

1:05:37.240 --> 1:05:42.280
<v Speaker 1>at having been handed such a boring assignment. So I

1:05:42.320 --> 1:05:44.560
<v Speaker 1>said to him, do you have any advice for me?

1:05:44.680 --> 1:05:47.720
<v Speaker 1>You did this job once, and he thought about it

1:05:47.760 --> 1:05:49.439
<v Speaker 1>for a second. He looked at me and he sort

1:05:49.440 --> 1:05:52.440
<v Speaker 1>of half smiled, and he said, don't get anybody's blood

1:05:52.440 --> 1:05:56.760
<v Speaker 1>on your hands. And I never forgot it, and I

1:05:57.360 --> 1:06:00.520
<v Speaker 1>know exactly what he meant by it, which was, you know,

1:06:00.840 --> 1:06:05.120
<v Speaker 1>don't do your best not to give people advice. You

1:06:05.120 --> 1:06:09.720
<v Speaker 1>wouldn't take yourself the hypocritic first, do first, do no harm,

1:06:09.920 --> 1:06:12.520
<v Speaker 1>not not a bad thing. We've been talking a lot

1:06:12.640 --> 1:06:16.160
<v Speaker 1>about books and investors, and you mentioned The Intelligent Investor

1:06:16.200 --> 1:06:19.800
<v Speaker 1>by Benjamin Graham. What other books really stood out to

1:06:19.840 --> 1:06:25.920
<v Speaker 1>you as you developed your your your your BS Detector,

1:06:25.960 --> 1:06:29.360
<v Speaker 1>your your journalism chops, and your finance jops. Yeah, there's

1:06:29.400 --> 1:06:31.280
<v Speaker 1>a couple of books I really love. I mean, we

1:06:31.360 --> 1:06:34.480
<v Speaker 1>talked about Richard Feynman before. I think anybody can pick

1:06:34.560 --> 1:06:39.400
<v Speaker 1>up any of the oral history books. You just Mr

1:06:39.480 --> 1:06:44.120
<v Speaker 1>fineman or um, what do you care what other people think?

1:06:44.280 --> 1:06:48.800
<v Speaker 1>Is another wonderful one. Uh, those books are fabulous even

1:06:48.840 --> 1:06:51.560
<v Speaker 1>for someone with no background in science. They can teach

1:06:51.600 --> 1:06:53.880
<v Speaker 1>you a little bit about how to think like a scientist,

1:06:54.400 --> 1:06:58.560
<v Speaker 1>and that's critical. There's a wonderful little book called um

1:06:59.160 --> 1:07:02.680
<v Speaker 1>How to Lie with Statistics by Darryl Hoff. It's literally

1:07:02.720 --> 1:07:05.680
<v Speaker 1>sitting on my night tap, which is such a fabulous book.

1:07:06.480 --> 1:07:08.160
<v Speaker 1>You know that came in out and I want to

1:07:08.160 --> 1:07:09.960
<v Speaker 1>say the late fifties. Yeah, it came out in the

1:07:10.000 --> 1:07:14.080
<v Speaker 1>fifties as a wonderful book. It doesn't seem dated at all.

1:07:14.120 --> 1:07:16.720
<v Speaker 1>It's it's not, it's not. It will never go out

1:07:16.720 --> 1:07:20.440
<v Speaker 1>of style. And where are the customers? Yachts? By Fred

1:07:20.440 --> 1:07:25.280
<v Speaker 1>Schwade Jr. Which was published in and I've never read that,

1:07:25.920 --> 1:07:28.600
<v Speaker 1>have the book, and I've been dying to get the

1:07:28.680 --> 1:07:30.800
<v Speaker 1>free time. I can't believe I came on your show

1:07:30.920 --> 1:07:33.280
<v Speaker 1>and you've never read that. I'm not I'm leaving right now.

1:07:33.320 --> 1:07:36.920
<v Speaker 1>I'm not exaggerating that. I actually mentioned that to someone

1:07:37.240 --> 1:07:40.080
<v Speaker 1>in the beginning of the summer, that that's my book

1:07:40.120 --> 1:07:42.320
<v Speaker 1>to read the summer, and know you're going to read

1:07:42.360 --> 1:07:48.120
<v Speaker 1>it tonight. It's I started the first chapter and really

1:07:48.200 --> 1:07:50.320
<v Speaker 1>enjoyed it. What I want you to do is read

1:07:50.360 --> 1:07:52.800
<v Speaker 1>it aloud. I want you to read it aloud to you.

1:07:53.000 --> 1:07:56.680
<v Speaker 1>The second person who's mentioned that technique, we didn't allowed

1:07:56.720 --> 1:08:00.160
<v Speaker 1>to yourself, all right, or to other people. You I'm

1:08:00.200 --> 1:08:02.400
<v Speaker 1>walk in a room start reading aloud from it. People

1:08:02.480 --> 1:08:05.320
<v Speaker 1>stop what they're doing, really, and now look at you. Well, normally,

1:08:05.320 --> 1:08:06.919
<v Speaker 1>when you walk into a room and just start reading

1:08:06.960 --> 1:08:08.760
<v Speaker 1>a lot from a book, people stop what they're doing.

1:08:08.800 --> 1:08:10.919
<v Speaker 1>And yeah, but but after they listen for a while,

1:08:10.960 --> 1:08:12.520
<v Speaker 1>they'll go back to what they're doing. They won't do

1:08:12.560 --> 1:08:15.080
<v Speaker 1>that with this book. All right, I'm gonna I'm not

1:08:15.160 --> 1:08:17.679
<v Speaker 1>exaggerating when I say, of all the Wall Street books

1:08:17.920 --> 1:08:20.360
<v Speaker 1>I have not read, this is the one that I've

1:08:20.520 --> 1:08:24.000
<v Speaker 1>been most looking forward to reading, not on my night table,

1:08:24.160 --> 1:08:27.960
<v Speaker 1>on my dresser, but literally in the bedroom. It's it

1:08:28.120 --> 1:08:31.799
<v Speaker 1>is easily one of the five best books ever written,

1:08:31.840 --> 1:08:35.880
<v Speaker 1>so ahead of the Goldman sax Elevator book. But move

1:08:35.960 --> 1:08:41.120
<v Speaker 1>move this up the queue. Okay, it's in the top three. Beforehand,

1:08:41.600 --> 1:08:45.240
<v Speaker 1>I'm I'm finishing, had a lie with statistics and this

1:08:45.360 --> 1:08:49.640
<v Speaker 1>was next in my You have to I'm embarrassed to

1:08:49.680 --> 1:08:52.840
<v Speaker 1>admit that I've had this sitting waiting to be read

1:08:52.880 --> 1:08:55.200
<v Speaker 1>for six months and I just haven't read it. It's

1:08:55.200 --> 1:09:00.760
<v Speaker 1>a wonderful book. And uh what other investors influenced you? Uh?

1:09:01.200 --> 1:09:04.759
<v Speaker 1>You know. Fairly early in my career, I was lucky

1:09:04.880 --> 1:09:09.400
<v Speaker 1>enough to get to know a bunch of really great

1:09:09.520 --> 1:09:16.720
<v Speaker 1>wise people, UM, Sir John Templeton, m Phil Coray, Irving Khan.

1:09:17.560 --> 1:09:20.120
<v Speaker 1>These were all people who had lived through the crash

1:09:20.160 --> 1:09:26.639
<v Speaker 1>of and had really benefited from it and developed sort

1:09:26.640 --> 1:09:32.080
<v Speaker 1>of incredibly powerful long term perspective. UM. And I learned

1:09:32.080 --> 1:09:36.960
<v Speaker 1>a lot from from those guys, Uh and UM, and

1:09:37.040 --> 1:09:39.639
<v Speaker 1>also from some other people I was lucky to spend

1:09:39.640 --> 1:09:42.040
<v Speaker 1>time with when it was easier to spend time with them,

1:09:42.080 --> 1:09:47.840
<v Speaker 1>Michael Price, Bill Miller. UM. Folks like that who you know,

1:09:47.920 --> 1:09:52.240
<v Speaker 1>sort of gone on to fame and fortune and in

1:09:52.280 --> 1:09:55.280
<v Speaker 1>some cases some some misfortunes. I'm trying to get Templeton

1:09:55.360 --> 1:09:57.840
<v Speaker 1>on the show, but as people never response, yeah, he's

1:09:57.880 --> 1:10:01.160
<v Speaker 1>not returning calls anywhere. U. Miller is a guy who's

1:10:01.160 --> 1:10:04.400
<v Speaker 1>actually enjoying a little bit of a resurgence. He would

1:10:04.400 --> 1:10:07.400
<v Speaker 1>be interesting to have a conversation. UM. So we talked

1:10:07.400 --> 1:10:11.040
<v Speaker 1>a little bit about the changing nature of financial journalism

1:10:11.120 --> 1:10:14.679
<v Speaker 1>and and media. What do you see as the next

1:10:14.720 --> 1:10:18.720
<v Speaker 1>major shifts that are that are coming in this space? Well,

1:10:18.760 --> 1:10:22.840
<v Speaker 1>I think I think what is still desperately needed, UM

1:10:23.120 --> 1:10:28.000
<v Speaker 1>is UM filters. Um. You know, Twitter does a lot

1:10:28.000 --> 1:10:30.840
<v Speaker 1>of that, but if you set it upright, if you

1:10:30.960 --> 1:10:33.719
<v Speaker 1>use it, you have to you have to approach Twitter

1:10:34.040 --> 1:10:37.479
<v Speaker 1>very very deliberately and intelligently to make it work for

1:10:37.600 --> 1:10:41.240
<v Speaker 1>you instead of against you. And I think the time

1:10:41.360 --> 1:10:46.400
<v Speaker 1>is coming when there will be platforms or applications that

1:10:46.520 --> 1:10:51.559
<v Speaker 1>will intelligently filter material for people and do a real service.

1:10:51.720 --> 1:10:53.559
<v Speaker 1>I don't think we're there yet, and I don't know

1:10:53.600 --> 1:10:55.840
<v Speaker 1>what it's going to look like, but I know it's

1:10:55.880 --> 1:10:59.280
<v Speaker 1>coming and I hope it comes soon. That's that's that's

1:10:59.280 --> 1:11:02.840
<v Speaker 1>really interesting. And I find that a handful of UM

1:11:02.880 --> 1:11:07.400
<v Speaker 1>aggregators are are enormously helpful. I not only read a

1:11:07.439 --> 1:11:09.679
<v Speaker 1>ton of stuff when I put together my morning reads,

1:11:09.920 --> 1:11:12.640
<v Speaker 1>but I also look at a handful of other aggregators

1:11:12.640 --> 1:11:15.559
<v Speaker 1>and see what they're looking at. And I don't want

1:11:15.560 --> 1:11:17.360
<v Speaker 1>to have too much overlap. I want to look and

1:11:17.439 --> 1:11:22.679
<v Speaker 1>find interesting. But but that's human driven, that's not robot driven. UM.

1:11:22.880 --> 1:11:26.160
<v Speaker 1>Twitter is really something that I think has so much potential.

1:11:26.680 --> 1:11:30.599
<v Speaker 1>So long as you mute the annoying and block the

1:11:30.680 --> 1:11:34.840
<v Speaker 1>intellectually dishonest, that that eliminates a lot of the noises.

1:11:35.160 --> 1:11:37.679
<v Speaker 1>And I think there's one other. There's one other tip,

1:11:37.960 --> 1:11:39.920
<v Speaker 1>Barry and and I know you do this and I

1:11:40.240 --> 1:11:42.439
<v Speaker 1>work very hard at it, which is you really want

1:11:42.479 --> 1:11:46.559
<v Speaker 1>to use a service like Twitter. Two feed yourself as

1:11:46.680 --> 1:11:50.479
<v Speaker 1>much disconfirmation as you can. You really want to follow

1:11:50.600 --> 1:11:54.400
<v Speaker 1>people and try to be followed by people you don't

1:11:54.400 --> 1:11:57.559
<v Speaker 1>agree with, people you think are wrong, but you think

1:11:57.600 --> 1:12:01.840
<v Speaker 1>they're intelligently wrong. I have that cast has always had

1:12:01.880 --> 1:12:04.800
<v Speaker 1>that role with me. We are frequently on the opposite

1:12:04.840 --> 1:12:08.280
<v Speaker 1>side of the trade. And if I like a market,

1:12:08.400 --> 1:12:10.800
<v Speaker 1>or if I'm long term bullish and Doug this short

1:12:10.920 --> 1:12:16.680
<v Speaker 1>term bearish, he forces me to sharpen my argument. On

1:12:16.720 --> 1:12:20.679
<v Speaker 1>the other hands, I've been negative on gold for about

1:12:20.800 --> 1:12:24.400
<v Speaker 1>four or five years, and when someone challenges me and

1:12:24.960 --> 1:12:28.639
<v Speaker 1>their Twitter handle has either the word gold or bullion

1:12:28.720 --> 1:12:34.520
<v Speaker 1>in it, I know I'm not getting a honest, objective analysis.

1:12:34.560 --> 1:12:36.559
<v Speaker 1>On the other side, I want someone to explain to

1:12:36.560 --> 1:12:39.400
<v Speaker 1>me why I should own gold when I don't want

1:12:39.439 --> 1:12:43.639
<v Speaker 1>to own gold. Um, in a way that's objective and

1:12:43.960 --> 1:12:47.639
<v Speaker 1>neutral and dispassionate. Don't go looking for that on Twitter.

1:12:47.680 --> 1:12:50.760
<v Speaker 1>You're not gonna find them. And UM my favorite two

1:12:50.840 --> 1:12:54.600
<v Speaker 1>questions I asked of all my guests. First, what advice

1:12:54.600 --> 1:12:57.640
<v Speaker 1>would you give to a millennial or recent college graduate

1:12:58.040 --> 1:13:05.200
<v Speaker 1>who is just beginning their career in financial journalism? Well,

1:13:05.600 --> 1:13:08.160
<v Speaker 1>I would First of all, I guess the first advice

1:13:08.200 --> 1:13:11.720
<v Speaker 1>I would give you is to make sure you're in

1:13:11.760 --> 1:13:14.639
<v Speaker 1>the right field. There are a lot of smart people

1:13:14.680 --> 1:13:17.640
<v Speaker 1>who would tell you you're crazy for trying to be

1:13:17.720 --> 1:13:20.280
<v Speaker 1>a financial journalist right now, and you might want to

1:13:20.320 --> 1:13:23.400
<v Speaker 1>listen to them. They could be right. The second thing is,

1:13:23.680 --> 1:13:30.439
<v Speaker 1>I'm I arrive earlier and leave later than everybody else.

1:13:30.560 --> 1:13:36.200
<v Speaker 1>Every day I'm find the smartest people you can possibly

1:13:36.320 --> 1:13:40.000
<v Speaker 1>find and learn everything you can from them. Ask everyone,

1:13:40.320 --> 1:13:45.320
<v Speaker 1>what do you read? Whom do you admire? Who's the

1:13:45.360 --> 1:13:49.080
<v Speaker 1>smartest person you know? Um? You know, when I started

1:13:49.080 --> 1:13:52.439
<v Speaker 1>at Forbes in seven, every day I would I would

1:13:52.479 --> 1:13:55.320
<v Speaker 1>read the Wall Street Journal and I would circle in

1:13:55.400 --> 1:14:00.200
<v Speaker 1>red pen every quote from somebody who knew more about

1:14:00.200 --> 1:14:03.439
<v Speaker 1>whatever it was than I did, and then I would

1:14:03.439 --> 1:14:05.960
<v Speaker 1>call that person up, because in those days you had

1:14:06.000 --> 1:14:08.559
<v Speaker 1>to call and I would say, I want to buy

1:14:08.560 --> 1:14:12.160
<v Speaker 1>you breakfast, lunch, dinner, drinks, and then I would just

1:14:12.320 --> 1:14:15.439
<v Speaker 1>download from the person's brain and then I you know,

1:14:15.479 --> 1:14:18.800
<v Speaker 1>I learned something I didn't know before. That's quite fascinating,

1:14:18.840 --> 1:14:20.439
<v Speaker 1>and that worked. You can pick up the phone and

1:14:20.520 --> 1:14:24.519
<v Speaker 1>call somebody. It worked then, and I think it works

1:14:24.560 --> 1:14:29.400
<v Speaker 1>now too, although email is easier obviously, to say the least.

1:14:29.520 --> 1:14:32.519
<v Speaker 1>And and our last question, what is it that you

1:14:32.560 --> 1:14:37.760
<v Speaker 1>know today about financial reporting, investing and journalism that you

1:14:37.800 --> 1:14:42.240
<v Speaker 1>wish you knew thirty years ago? Well, my dad, who

1:14:42.320 --> 1:14:47.080
<v Speaker 1>was a very wise man, had a wonderful expression, which

1:14:47.240 --> 1:14:51.160
<v Speaker 1>was that, And I think I remember this verbatim. It's

1:14:51.200 --> 1:14:56.160
<v Speaker 1>remarkable how much you have to learn about something in

1:14:56.280 --> 1:15:01.040
<v Speaker 1>order to discover how little you need to know about it.

1:15:02.439 --> 1:15:05.360
<v Speaker 1>He goes right back to Dunnan Krueger. There's the experts

1:15:05.520 --> 1:15:08.920
<v Speaker 1>know their own skill set. Amateurs have no clue, right,

1:15:09.240 --> 1:15:11.920
<v Speaker 1>And I think the other the other thing he was

1:15:12.000 --> 1:15:15.759
<v Speaker 1>driving at is that in order to learn those few

1:15:16.240 --> 1:15:20.040
<v Speaker 1>true things that are at the core of everything, you

1:15:20.160 --> 1:15:24.400
<v Speaker 1>have to learn an enormous amount about them. And I

1:15:24.400 --> 1:15:27.599
<v Speaker 1>guess the thing I most wish I had known at

1:15:27.600 --> 1:15:33.920
<v Speaker 1>the beginning was where all this would come out, which

1:15:34.000 --> 1:15:40.320
<v Speaker 1>is that ultimately success as an investor depends on one thing,

1:15:41.080 --> 1:15:44.840
<v Speaker 1>really only depends on one thing self control. M hm.

1:15:45.479 --> 1:15:51.760
<v Speaker 1>And you know when Benjamin Graham said, uh, the investor's

1:15:51.760 --> 1:15:57.800
<v Speaker 1>worst enemy is himself. He wasn't kidding, And in a

1:15:57.800 --> 1:16:01.439
<v Speaker 1>lot of ways, the entire book The Intelligent Investor boils

1:16:01.479 --> 1:16:06.839
<v Speaker 1>down to that one sentence. And great investors have self control,

1:16:07.840 --> 1:16:12.240
<v Speaker 1>and everyone else can't be a great investor. If you

1:16:12.280 --> 1:16:15.439
<v Speaker 1>don't have self control, you don't belong in the game

1:16:15.520 --> 1:16:18.800
<v Speaker 1>where you're not going to prevail at least. Hmm. That's

1:16:18.880 --> 1:16:22.280
<v Speaker 1>quite fascinating. Jason, Thank you so much for spending so

1:16:22.360 --> 1:16:25.559
<v Speaker 1>much time with us and being being so generous. If

1:16:25.600 --> 1:16:29.479
<v Speaker 1>people want to find your work, the entire body of

1:16:29.479 --> 1:16:32.559
<v Speaker 1>your work, I would be remiss if I didn't mention

1:16:32.720 --> 1:16:36.320
<v Speaker 1>Jason's Wide dot com. For those of you who follow

1:16:36.400 --> 1:16:39.639
<v Speaker 1>me on Twitter, and you will notice each morning around

1:16:39.840 --> 1:16:45.639
<v Speaker 1>six ish, you occasionally will see a Today in seven

1:16:46.640 --> 1:16:49.559
<v Speaker 1>and I will reference what happened that day, and I

1:16:49.600 --> 1:16:53.479
<v Speaker 1>probably do that once or twice a week. That comes

1:16:53.479 --> 1:16:57.640
<v Speaker 1>directly from this day in financial history, UM, which I

1:16:57.680 --> 1:16:59.960
<v Speaker 1>then have to edit down to a hundred forty characters

1:17:00.200 --> 1:17:03.720
<v Speaker 1>because it usually starts at about three or four hundred characters,

1:17:03.800 --> 1:17:06.880
<v Speaker 1>and there is an art to getting a paragraph into

1:17:06.960 --> 1:17:11.519
<v Speaker 1>a tweetable sentence. UM. But I find that fascinating. There's

1:17:11.520 --> 1:17:14.599
<v Speaker 1>a lot of great quotes there, there's basically who you are,

1:17:14.760 --> 1:17:17.880
<v Speaker 1>what you've done. Is it safe to say just about

1:17:17.920 --> 1:17:21.200
<v Speaker 1>every column you've written is either there or linked to

1:17:21.320 --> 1:17:23.800
<v Speaker 1>from there? That it can be gotten? Yeah, I mean,

1:17:23.880 --> 1:17:26.880
<v Speaker 1>I'm plus your books plus everything. I like a good

1:17:26.920 --> 1:17:31.920
<v Speaker 1>hedge fund manager. I'm backfilling. But it but it, but

1:17:32.000 --> 1:17:36.160
<v Speaker 1>it takes time. I think I have everything back to

1:17:36.200 --> 1:17:39.960
<v Speaker 1>two thousand thirteen and a lot of stuff back uh ten,

1:17:40.080 --> 1:17:43.520
<v Speaker 1>fifteen or twenty years or more. In fact, I recently

1:17:44.520 --> 1:17:49.960
<v Speaker 1>pulled something from your site that you had re added there.

1:17:49.960 --> 1:17:52.080
<v Speaker 1>I'm trying to remember. It was was like fifteen years

1:17:52.080 --> 1:17:55.040
<v Speaker 1>ago as a speech you had given, and I linked

1:17:55.080 --> 1:17:57.000
<v Speaker 1>to it in the Weekend Reads because it was the

1:17:57.080 --> 1:18:01.320
<v Speaker 1>longer form thing and it I love when I will

1:18:01.360 --> 1:18:04.320
<v Speaker 1>find something that people haven't seen yet and then it

1:18:04.439 --> 1:18:07.519
<v Speaker 1>starts just hanging around going viral, and I'm like, oh,

1:18:07.600 --> 1:18:09.920
<v Speaker 1>I guess everybody else liked it. Also, it was I

1:18:09.960 --> 1:18:12.759
<v Speaker 1>wasn't out on a limb. That was a speech you gave.

1:18:13.040 --> 1:18:14.840
<v Speaker 1>Do you know what I'm referring to? I think it

1:18:14.920 --> 1:18:18.120
<v Speaker 1>was a speech I gave that that I called fat

1:18:18.160 --> 1:18:22.599
<v Speaker 1>tails thin ice. That the one and and that fifteen

1:18:22.640 --> 1:18:26.000
<v Speaker 1>years not seen online for a long time and suddenly

1:18:26.080 --> 1:18:29.320
<v Speaker 1>that goes viral. It's a speech I gave at the

1:18:29.360 --> 1:18:35.519
<v Speaker 1>Morning Star Investment conferency and UH two thousand one, I think, UM,

1:18:36.080 --> 1:18:40.880
<v Speaker 1>where I sort of talked about UH, I guess what

1:18:40.920 --> 1:18:46.880
<v Speaker 1>would I say? A few risks that I'm materialized later

1:18:47.240 --> 1:18:51.720
<v Speaker 1>and UH that I thought the financial advisor community was

1:18:53.760 --> 1:18:58.160
<v Speaker 1>dangerously overlooking. Well, I'm We're out of time, and I

1:18:58.240 --> 1:19:01.760
<v Speaker 1>just wanted to thank you again for spending so much time. UM,

1:19:02.040 --> 1:19:05.280
<v Speaker 1>you've been listening to Masters in Business on Bloomberg Radio.

1:19:05.320 --> 1:19:08.439
<v Speaker 1>If you enjoy this conversation, look up an Inch or

1:19:08.479 --> 1:19:11.639
<v Speaker 1>down an inch on iTunes and you could see any

1:19:11.720 --> 1:19:15.000
<v Speaker 1>of the other five dozen such podcasts we've had over

1:19:15.040 --> 1:19:19.320
<v Speaker 1>the past year and change. UM, Jason's wife, thank you

1:19:19.360 --> 1:19:22.000
<v Speaker 1>again for for coming by my pleasure. Parry, thanks for

1:19:22.040 --> 1:19:25.559
<v Speaker 1>having me. You're listening to Masters in Business with Barry

1:19:25.640 --> 1:19:27.639
<v Speaker 1>Ridholts on Bloomberg Radio.