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Hedge Fund Manager Alix Pasquet: Why Smart People Lose Money

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Hedge Fund Manager Alix Pasquet: Why Smart People Lose Money

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1992 segments

0:00

When smart people lose money, it's not,

0:01

you know, they lose 10%. It's always a

0:03

catastrophe, like draw down, bro.

0:05

[music] Draw downs. Do you think there

0:07

will be a lot more BS retail ideas?

0:10

There's a group of stocks out there in

0:12

the stock market that retail keeps

0:14

buying. If they had a knowledge of

0:16

history, they know how that story is

0:18

going to end. Younger generations that

0:20

don't have analog training, that haven't

0:22

read the book, that just look at

0:23

snippets and snack on information,

0:26

they're going to lose a lot of money.

0:27

We're already seeing it happen. Don't do

0:29

violence to yourself in the morning.

0:31

These guys that are plunging into ice

0:32

cold bass when they first wake up.

0:34

That's stupid.

0:37

Hey, thank you so much for listening to

0:39

Odds on Open. This week, we're going to

0:41

be doing something slightly different.

0:43

One of my mentors, a hedge fund manager

0:45

by the name of Alex Pascet, is going to

0:47

be giving a talk on why smart people

0:50

lose money. I hope you guys enjoy.

0:53

>> Ethan, really thank you for having me.

0:54

Okay. the the the that to be asked to

0:58

speak publicly about any topic uh is a

1:02

great honor and I try to add a lot of

1:04

value. Part of our content strategy is

1:07

to add value. Um uh having a content

1:11

strategy is very important for us. Uh it

1:14

helps us make money. Uh but it also

1:18

helps us generate insights and to get

1:20

feedback on our ideas. You know, if our

1:22

ideas are wrong, believe me, the crowd

1:24

will quickly tell us uh that it is, but

1:27

often the crowd also adds value to you

1:31

when you share your your content. It's

1:34

actually a mistake smart people make,

1:36

which is not to share their thinking um

1:39

especially publicly.

1:41

But anyways, so my background is that I

1:46

am probably not genetically designed or

1:50

culturally designed to make money. Uh I

1:53

come from the Caribbean. Uh not a place

1:57

known for their capital allocators.

2:00

Um

2:02

uh I studied gains for growing up. You

2:07

know, I was obsessed with gains. Um, I

2:10

went to business school to Babson. Uh,

2:12

but really all I did during college was

2:15

play poker and backammen. Uh, and uh,

2:18

even played poker and back with my

2:20

teachers. Sometimes we let them win to

2:23

get better grades. Um,

2:26

uh, but my background, you know, I

2:30

wasn't designed to be an analyst. I

2:32

never learned accounting. Uh, I mean, I

2:34

took accounting class, but I never

2:36

really sat there and learned accounting,

2:40

modeling, or any of these things. Uh,

2:43

but after college, I gambled for a

2:47

living. Spent three years doing that,

2:51

playing back gaming poker, and I'll get

2:52

to that. Um, and then, uh, one of the

2:56

guys I used to gamble with was a very

2:59

wealthy, uh, businessman.

3:02

uh he offered me a job to come run his

3:04

personal money and because I did not

3:08

know what the hell I was doing. Um uh

3:11

that that businessman had an interesting

3:13

model. He would take young guys that he

3:15

liked and he thought were usually more

3:18

street smart than smart. Put a lot of

3:21

pressure on them and basically throw

3:23

them in the deep end of the pool and

3:25

say, "Can you swim?" And if you sw if

3:26

you knew how to swim, he would put more

3:29

and more responsibilities on you. Uh,

3:31

and I loved him dearly, both him and his

3:33

son. Um, and I I still can't believe

3:37

they gave me the responsibilities that

3:39

they gave me at the time because I

3:41

seriously did not know my ass for my

3:43

elbow. Um, but I started out allocating

3:48

money to money managers

3:51

and that's where I really learned

3:53

investing by literally taking meetings

3:56

with other money managers and just

3:58

asking them questions and whoever I

4:00

thought we were uh was smart, we would

4:03

give them money. And it was one of the

4:05

best um schools for investing

4:10

uh that you could have. Um, and I'll get

4:13

to that. All right. So, the topic is

4:17

why do smart people lose money? Uh, I'm

4:21

fascinated by this uh for a lot of

4:24

reasons. Um,

4:26

one of them is I'm forced in our

4:30

business to compete against people that

4:32

are much much smarter than I am.

4:35

And how do you do that? How do you

4:38

compete against smart people that are

4:42

better resourced than you, have more

4:44

experience than you, and also have teams

4:47

that are bigger than yours, and smarter

4:50

than yours? I mean, it's uncanny how

4:53

much money people are spending on

4:56

resources now in the investment

4:58

business. So, how can we as a firm,

5:02

Prime Makaya, compete against these

5:04

really, really smart guys that are out

5:06

there?

5:07

Uh but also how do you mitigate the

5:11

catastrophic mistakes smart people can

5:13

make?

5:15

You know, uh it's a I find that to be a

5:20

fascinating topic. Uh and I'll walk you

5:23

guys through

5:24

um

5:26

how I came to some of those insights.

5:29

Okay. All right. First, a couple of

5:31

quotes. Uh one by Phil Burnbomb. You

5:34

gain more by not being stupid than you

5:36

do by being smart. Smart gets

5:38

neutralized by other smart people.

5:40

Stupid does not.

5:42

Uh by Thomas Soul. There is usually only

5:46

a limited amount of damage that can be

5:48

done by dull stupid people. For creating

5:50

a truly monumental disaster, you need

5:53

people with high IQs. One of my favorite

5:55

quotes from from the big guy, uh that's

5:59

what I call Warren Buffett, by the way.

6:02

uh he said over time markets will do

6:04

extraordinary even bizarre things. A

6:07

single big mistake could wipe out a long

6:09

stream of successes. We therefore need

6:12

someone genetically programmed to

6:14

recognize and avoid serious risks

6:16

including those never before

6:18

encountered. Certain perils that lurk in

6:21

investment strategies cannot be spotted

6:23

by use of the models commonly employed

6:26

today by financial institutions.

6:28

Temperament is also important.

6:31

Independent thinking, emotional

6:32

stability, and a keen understanding of

6:35

both human and institutional behavior is

6:37

vital to long-term investment success.

6:40

I've seen a lot of very smart people who

6:42

have lacked these virtues.

6:45

This was written before the age of AI.

6:49

It's one of my beliefs that AI is going

6:52

to make the things that Warren talked

6:54

about worse,

6:56

at least for the first

6:58

growing pains that we're going to go

7:00

through as we use these AI tools. I'll

7:03

get to that.

7:05

All right. So, what you're looking at

7:06

here

7:08

is

7:10

uh a theme. So, we're big into themes in

7:13

our business. We're always looking for

7:16

tailwinds that are pushing our

7:18

businesses forward if we're long or

7:21

headwinds that are pushing our

7:23

businesses back if we're short. And we

7:26

like to find tailwinds that other people

7:28

are not thinking about. And one of them

7:31

is what we call the generational battle.

7:34

So the first baby boomer is turning 80

7:38

next year. The first baby boomer was

7:40

born 1946.

7:42

And in terms of wealth, that generation

7:44

has $76 trillion in the United States.

7:48

Gen X, which is my generation, by the

7:51

way, I call Gen X neoboomers because we

7:53

were raised by boomers and we have

7:55

boomer sensibilities, but we were the

7:57

first to really use the internet. So,

8:00

we're both analog and digital. Um,

8:05

uh, Amogenics, by the way, and our

8:08

generation has 37 trillion. the silent

8:11

generation. So, this would be your

8:13

grandparents, your great-grandparents,

8:15

my grandparents, they have 19 trillion.

8:17

And then the millennials have 13

8:20

trillion. And we don't know how much the

8:21

zoomers have. Uh, but you guys are

8:23

popping up. So, basically what's

8:25

happening is the first baby boomer is

8:26

reaching 80 next scare and as he's

8:29

passing

8:31

that wealth is trickling down

8:34

to the generations. It's going to Gen X,

8:38

then Millennial, and the baby zoomers.

8:41

Right? And

8:43

that wealth is causing a generational

8:46

battle. Why? Because millennials and the

8:50

zoomers are taking these these uh this

8:55

money and actually putting into the

8:57

stock market,

8:59

right? That's actually one of the

9:01

explanations for the persistent retail

9:03

bid that we are seeing

9:05

because people are like why is why is

9:08

where is this retail get this cash from?

9:10

Why do retail keep buying uh uh these

9:14

stocks and coins? Well, one of the

9:16

reasons is they're inheriting money,

9:19

right?

9:21

Reason why I put that in there is you

9:23

guys have a problem. the zoomers. It's a

9:27

generation that no longer reads

9:30

all the information is uh in and in and

9:35

digital media and short content. The

9:39

problem is to really develop judgment as

9:42

a smart person, you have to read.

9:45

You have to do what's called analog

9:47

training. I mean, I don't know if I say

9:49

that's called that. Sorry. It's what we

9:51

call it. Um uh and analog training is

9:56

disconnected

9:58

mental training that older generations

10:01

had to do more of because we didn't have

10:03

the digital tools. And we believe that

10:08

the future of investment performance is

10:11

guys that have both jet analog weapons

10:14

and digital weapons. Okay. By the way,

10:19

value investors, specifically

10:22

smart value investors, have to pay

10:24

attention to this stuff because the

10:26

mistakes that they're making right now

10:28

are borderline catastrophic. Um, and uh

10:34

we've tried explaining that to some of

10:37

our value investor friends. Uh but one

10:39

of the problems with value investing is

10:41

that almost all the reference material

10:44

that they've learned is pre208

10:47

reference materials.

10:49

Since 2008, things have changed. The

10:52

market structure has changed. There's

10:54

new investment players. Businesses,

10:57

especially internet enabled businesses,

10:59

have changed and so have business

11:01

tactics. And a lot of things that drove

11:05

cheap valuations almost no longer exist.

11:09

Uh it's totally different things that

11:10

drive cheap valuation. The availability

11:13

of information that could make something

11:16

cheap pre208 doesn't exist today.

11:19

Usually when something is cheap today,

11:21

it has a problem, right?

11:24

All right.

11:25

Don't be the Erade baby. A lot of people

11:28

are like, "Isn't it difficult to invest

11:30

in the markets?" And I'm like, not if

11:32

you're using Erade. Making a big

11:34

investment is as easy as a single click.

11:36

Boom. I just bought some stocks. See, it

11:39

was totally easy. Check this out. Boom.

11:41

More stocks. Boom. Asset back

11:44

securities. Boom. Credit default swaps.

11:47

Boom. Boom. Boom. Hell. I don't even

11:49

know what app this stuff means. But

11:51

thanks to E Trade, I can Wait, why is

11:54

this line going down? Oh god, just

11:56

dropped 400 points. This is not

11:58

happening. Dear Lord, I made a horrible,

12:00

horrible mistake.

12:03

Dropping more. [ __ ]

12:06

I want to take it back. I want to take

12:08

it back. Sell.

12:12

Too late. It's all gone. I've just lost

12:14

my entire life savings. Oh god. Steph

12:18

was saving for med school. [ __ ] I think

12:21

I'm going to be sick.

12:25

I'm going to jump out the window now. He

12:27

train, sorry, you can't take a nap.

12:30

>> You know, in 25 years of doing this,

12:35

um, I gotta sound like a [ __ ] boomer.

12:38

Um, in 25 years of doing this, I've seen

12:41

a lot of smart people go through every

12:44

emotion that the E Trade Baby has gone

12:46

through.

12:48

I've seen grown men cry when they lose

12:51

money.

12:53

I've seen people having

12:56

to move their families to cheaper

12:59

neighborhoods and cheaper schools

13:01

because they lost everything.

13:04

Okay? And really high IQ people at that.

13:09

I've seen guys that I would consider

13:11

average become billionaires.

13:14

Okay? So the when you study the dynamic

13:18

range between an average investor and a

13:20

great investor, one of the things that

13:23

you see is that IQ and intelligence is

13:27

actually a small percentage of what

13:28

drives our success.

13:31

Okay. The first place that I saw this

13:34

was games and and playing games for a

13:38

living. So my story with with uh Backam

13:41

is when when I was 18 I saw my uncles

13:44

play the game and I remember we were we

13:47

were by uh at the beach and they were

13:48

playing and I had noticed them playing

13:50

before but that moment I started paying

13:52

attention and I noticed that there was

13:55

probability and I was obsessed with

13:56

probability at the time and I learned

13:59

the rules. I played with them and they

14:01

got very cocky with me as they were

14:03

beating me because I didn't know uh how

14:06

to play. So I got pissed. I went back uh

14:09

home and I bought all the books on back

14:12

that I could find,

14:14

right? Uh there was actually a gambling

14:17

store in France and they had all these

14:19

backon books. I bought them all. I read

14:22

them, got better, came back a couple

14:24

months later and trounced my uncles.

14:27

Okay. Graduated high school, went to

14:30

college. There was a back gaming club in

14:32

Boston. I think it was called the Cavern

14:34

Dish. Uh, I went to play there and a

14:37

schwat which is back at it more than

14:40

than than two people and they killed me.

14:43

Lost a bunch of money. I was too cocky.

14:46

I got pissed. I found out that the best

14:49

player in the world lived in Boston. I

14:52

hired him to give me lessons. Came back

14:54

six months later and I killed all these

14:56

guys at that club.

14:58

uh and then I was introduced to

15:01

the back gammon uh neural nets. So a lot

15:05

of people don't know this but the first

15:07

neural nets were developed to play uh a

15:10

backam

15:12

um uh well to be fair the first neural

15:14

nets were developed by intelligence

15:17

services mostly DARPA the CIA MOSAD uh

15:22

uh and the others uh and then as these

15:26

people left to go to academia they

15:28

started introducing these neural nets

15:30

and one of them was developed to play

15:31

back a guy called Gerard Toro

15:35

at IBM in the 80s he built a program

15:37

called TD gamut. Uh this was actually

15:40

really useful by the way because the uh

15:44

to understand AI because the mistakes

15:48

that people made using AI and back

15:51

they're also making them in the

15:55

investment world. Same mistakes.

15:58

It's also the same mistakes is being

15:59

done with AI and chess. same mistakes

16:01

that are being done with AI and Go and

16:03

so on. But basically, my process for

16:07

getting better at the game was getting

16:11

playing against smart players for not a

16:13

lot of money and and also uh hiring

16:18

coaches. And imagine my surprise when

16:21

you could use that same process to

16:23

improve at investing. But the first

16:26

place that I started seeing smart people

16:28

make mistakes is that in back end and

16:30

you have all these great players and the

16:33

problem is sometimes to make money they

16:36

like to compete against each other.

16:39

And I noticed that if you wanted to make

16:41

a lot of money gambling you shouldn't do

16:43

that. And it wasn't about ego, about

16:46

being the best player is to really make

16:49

a lot of money, you had to find rich

16:51

back gamma players that had big egos.

16:54

Dad did not know how to play as well as

16:56

you did.

16:57

And if you did that, you could

16:59

consistently make money. Same thing in

17:01

poker, same thing in jin and basically

17:04

any game of strategy and chance mixed

17:07

together.

17:08

Okay, but there were also other lessons.

17:11

Um if you study poker for example very

17:15

quickly it lends you to study the metag

17:18

game ranges. Uh all of these are very

17:22

powerful lessons for that you can apply

17:25

to investing.

17:27

But the first big mistake that smart

17:29

people make is wanting to compete

17:32

against other smart people. No. When

17:35

you're fiduciary

17:37

when you're fiduciarially responsible

17:39

for other people's capital, it's your

17:42

duty to compete against morons.

17:45

Okay? You cannot risk capital. Competing

17:48

against smart people is a very very

17:50

stupid thing to do. Okay? So, one of the

17:55

guys I used to gamble with uh uh very

17:58

smart businessman gave me a job and I

18:01

ran money for him and I applied that

18:04

same lesson from poker and backon to

18:09

investing and basically go with smart

18:12

people read all the books on investing.

18:15

Uh, I still can't believe, by the way,

18:17

that people will write books, spend two

18:20

years writing books that they sell for

18:21

$15 and you can get all those lessons

18:25

and less than a day sometimes.

18:27

Um, but it was very powerful when I got

18:30

into investing to apply the same

18:31

process. Find smart people, uh, read

18:34

books, ask for advice. But one of the

18:39

beauties of investing is if you're

18:41

playing poker in the middle of a hand,

18:43

you cannot call a smart guy and say,

18:44

"Hey, what do you think I should do?"

18:46

Whereas investing, you actually can,

18:49

right? Uh, and that's actually a lesson

18:52

that I still do today. If I don't know

18:54

what to do about something, I literally

18:56

will call a smart person about my idea

18:58

and just say, "Hey, what do you think

18:59

about this?" But we'll get to that.

19:03

But then in 2006

19:06

um my mentor became president of a very

19:12

large well-known quant fund and uh so

19:16

did his uh stepson uh who was a very

19:19

close friend of mine and

19:22

we never invested in quant funds because

19:24

I never really understood what they did

19:27

and uh my mentor said hey uh we have a

19:32

problem. Uh the family office community

19:36

knows that you and I are close and they

19:38

keep asking has the lease invested has

19:40

the lease invested and we need to be

19:42

able to solve for that right so can you

19:45

come and do some work on us. I'm like,

19:46

well, you guys are known for being

19:48

secretive. You know, I can't I need to

19:51

be able to understand what you guys do

19:52

because if there's a period of

19:54

underperformance, I have to know whether

19:56

to cut the position or to actually add

19:59

because it's a momentary lapse and

20:01

performance. You guys look, there's a

20:03

lot we can't share with you, but come

20:05

in, we'll give you access and you'll

20:07

learn uh from uh from the team. And for

20:11

a period of a few months, I had access

20:14

to to some of the smartest quant

20:16

investors in the world. And it was

20:18

incredible. And one of the things that

20:21

they taught me was that every quant fund

20:24

has to solve for about six problems. The

20:29

first is having access to data.

20:33

It's actually really, really hard and

20:36

expensive to have access to all of the

20:38

data sources that you need. to run a

20:41

quad strategy. Well,

20:44

right, it's not as easy as you think.

20:48

Uh, and the barrier to entry, it's

20:50

really expensive. Not only that, you

20:53

need decades of that data. The second

20:56

problem quant funds have to solve for is

20:58

scrubbing the data. Sometimes when you

21:01

run a quant model that's supposed to

21:03

find investment anomalies or trading

21:05

anomalies in it, it finds uh uh a piece

21:10

that it thinks an anomaly. And the

21:12

problem is that's actually a data entry

21:14

mistake. And do you know as a team of

21:20

engineers how to scrub that data? It's a

21:24

very complicated process and you have to

21:26

know. The third is

21:30

lowering your market impact when you

21:32

trade. So you find a a signal and you

21:35

think it's an anomaly. Can you put a

21:37

trade in that actually doesn't create

21:40

market movement and the anomaly so that

21:43

it's almost like the Heisenberg

21:45

principle that observing something can

21:47

actually affect that thing where trading

21:49

something can actually impact. So how do

21:51

you lower your market impact? The next

21:54

is how do you lower your transaction

21:56

costs? It's actually not easy and

21:59

requires scale and the right

22:01

relationships with the brokers. And then

22:04

next is access to leverage. Often the

22:07

anomalies that these quant funds find

22:10

is uh so small that you need leverage to

22:14

be able to amplify that. How do you

22:16

manage that in those trading systems? Uh

22:19

and and then last is how do you find

22:24

really really smart people, manage them,

22:26

incentivize them and and that's not

22:31

easy. And the founder of that quant

22:33

fund, one of his genius other than

22:35

intellectual

22:37

uh uh heft was also he was really good

22:41

businessman and very street smart which

22:44

is very usually unusual that you're

22:45

street smart and book smart at the same

22:48

time. But anyways, it was amazing

22:51

because I actually saw

22:55

how smart people had thought about all

22:58

the problems of not only dealing of of

23:01

making money but managing other smart

23:03

people. And one interesting thing is

23:06

when I asked them, hey, you guys can't

23:09

tell us any signals today, but are there

23:12

any older signals that you guys have

23:16

found that that uh that you guys have

23:20

used in the past that are no longer

23:21

viable? And the the the Yeah, it's easy.

23:25

One of our first signals is in E8, we

23:29

noticed that market specialists did not

23:34

like to go home with positions on. So

23:37

around 355 and a lot of positions they

23:40

had in inventory, they would actually

23:42

sell those off and the stocks would go

23:45

down imprecibly,

23:47

right? And they realized that they could

23:49

build a quant signal that could pick up

23:51

on which are these stocks and actually

23:54

short them around 350 and cover them

23:58

right before the close and make a small

24:00

amount of money that with leverage could

24:02

actually become a decent amount of

24:05

performance. Right? And when he said

24:08

that, the insight we had is that oh

24:11

unlike the other quant funds that use

24:14

let's say statistical arbitrage, these

24:17

guys actually exploit human behavior.

24:20

And that's actually was very valuable in

24:22

terms of us understanding what they

24:24

actually did, right? But even that

24:27

wasn't enough for us to really

24:29

understand what they did. And one of the

24:31

things that I that to because they were

24:34

very secretive, I noticed that the

24:36

majority of them had gone to one school,

24:40

right? So I literally took a trip to

24:42

that school, had meetings with all the

24:45

teachers and said, "Hey, what do you

24:47

teach?" And this was where I when my

24:50

development as a fundamental investor

24:51

picked up because I started

24:53

understanding the philosophies

24:57

that this firm was using to actually

25:00

make money including chaos theory,

25:03

complexity, systems thinking

25:07

um and others, right? And that was

25:10

actually very very useful. And again

25:13

that was another lesson. If you're very

25:15

very smart, you have to study systems

25:18

thinking, complexity, uh cybernetics,

25:21

network theory, uh uh and others because

25:25

a lot of the mistakes of judgment smart

25:27

people make you solve for that by

25:30

studying those things. Um

25:34

but anyways

25:36

that also led me to understand August of

25:40

2007 when the quant funds were blowing

25:43

up what actually was happening. Um

25:47

and that saved our fund actually because

25:50

I ran a uh my first hedge fund I started

25:52

in 2006 and we were up uh 35% in 2007.

25:58

Uh but August alone we dropped 10%

26:01

because when quant funds were

26:04

deleveraging

26:05

a lot of our longs went down and our

26:07

shorts went up. Uh we made most of that

26:11

back in the end of Q3 and Q4. Uh but

26:15

still understanding how the quants were

26:18

blowing up because I had studied them

26:20

before was actually very helpful. Okay.

26:22

So the the the

26:27

um sorry I lost my train of thought but

26:30

anyways the the the it's very powerful

26:32

and there are books on the quad funds

26:34

that you can read by the way and I would

26:37

definitely ask Ethan for advice on that.

26:40

Okay. So,

26:44

one of the things

26:46

about the younger generations right now

26:49

is hyper simulation.

26:53

And one of the things we noticed is

26:56

young guys don't handle market swings up

27:00

and down as well as the older ones. And

27:05

that's actually something that didn't

27:07

used to happen. There's a problem right

27:09

now in the investment business called

27:10

the junior senior problem. And a lot of

27:13

PMs are noticing that they don't want to

27:15

hire juniors anymore. They don't want to

27:18

hire junior guys, right? That's a

27:20

problem. And they say, look, the the the

27:24

they know how to model, they learn the

27:27

pod talk early in college, idios and and

27:31

and

27:33

factors and such. But if you ask them,

27:36

hey,

27:38

what do you think the CEO is thinking?

27:40

They don't have the strategic reference

27:42

points to be able to put themselves in

27:44

the shoes of the CEO and saying, look,

27:45

this is what he said, but here's what he

27:47

actually is thinking of doing or see the

27:50

competitive reaction. And the other part

27:54

of the junior senior problem is the

27:56

junior guys don't handle pressure as

27:58

much as the senior guys. And I think one

28:02

of the reasons is the overuse of hyper

28:05

stimulants. By the way, I have a similar

28:09

problem. I had to quit caffeine, right?

28:12

I started drinking caffeine uh coffee

28:14

late in 2016 and I was noticing that

28:18

wow, like the the a stock was going

28:21

against me and usually I'm able to

28:24

emotionally regulate and I wasn't able

28:26

to. And it's when I quit caffeine that a

28:29

lot of that came back, right? And

28:31

caffeine is a hyper stimulant. As much

28:34

as I love me a cup of a great cup of

28:37

espresso, I had to quit. And maybe I

28:40

have it once or twice a year now, uh,

28:42

sadly, but caffeine just makes my highs

28:46

higher, my lows lower. Um, and the

28:50

ability to self-regulate is something

28:52

that sometimes very smart people don't

28:55

have. And I really do believe that hyper

28:58

stimulants cause that. Alcohol,

29:00

nicotine, social media, caffeine,

29:02

recreational drugs, porn. And by the

29:05

way, sometimes I we have a theme called

29:07

the modern addict. You see somebody

29:09

drinking a cup of coffee vaping while

29:12

he's on Instagram at the same time. Uh

29:16

that has an impact on your thinking.

29:18

Okay? And by the way, we're all guilty

29:20

of it. you have to figure out a way to

29:23

to to minimize it or better yet for

29:27

example uh manage it. So for so if you

29:30

hyper stimulate you need to do things

29:33

like massage, sauna, uh cardio and

29:36

working out because it helps clear these

29:39

from your system.

29:41

Okay. So what are the mistakes that

29:43

smart people make? One of the first ones

29:46

wanting to compete against other smart

29:47

people.

29:49

Don't do it. You know, one of my

29:52

favorite analysts and the beginning of

29:53

his career. Uh Ethan, you might want

29:56

There you go. Uh uh um and beginning of

29:59

his career, he used to love to compete

30:01

against Viking, Lone Pine, uh Blue

30:04

Ridge, even he's like, "Here's what

30:06

these guys are thinking, but here's

30:08

why." I'm I'm like, "Duh, dude. No, no,

30:10

no, no, no, no, no, no. That's not your

30:13

job. Your job is not to compete against

30:16

the smartest people you've ever seen."

30:18

Okay? your job to compete against

30:20

morons. Okay? And if you don't think

30:24

other great investors don't have that

30:26

mentality, it's what we call the prime

30:28

pattern. The prime pattern is when uh an

30:32

institution or individual

30:34

is taking advantage of a competitively

30:38

competitively disadvantaged institution

30:40

or individual. Um uh look at what

30:44

Charlie says. Competency is a relative

30:46

thing. What I needed to get ahead was to

30:48

compete against idiots. And luckily,

30:50

there's a large supply.

30:52

And Warren Buffett, if you've been

30:54

playing poker for half an hour, you

30:56

still don't know who the psy is, you're

30:57

the psy. Uh, by the way, the strategic

31:00

implication of that is fine game. I have

31:02

a lot of psis. So, this book uh by

31:05

Willis Johnson, one of my favorites uh

31:08

is from junk to gold, the story of

31:10

Copart. This guy would took junkyards

31:14

which is um usually historically

31:18

uh run by uh people that are not very

31:22

educated and he brought sophisticated

31:24

business techniques to that space and

31:27

eventually consolidated and became one

31:30

of the best businesses out there. We

31:31

love this business. We've held it uh at

31:35

various moments throughout my career.

31:37

one of my mentor used to be on the board

31:39

of the company. Um,

31:42

and that's the kind of of competing that

31:45

you want to do. So, one of my favorite

31:47

stories on this is uh to protect uh the

31:50

guilty I won't name, but a very close

31:54

friend of mine, his father study

31:56

engineering at MIT and he moves back to

32:00

his home country and people are like,

32:02

"What are you going to do? Are you going

32:03

to start a think tank? Are you going to

32:04

join the government?" He's like, "No,

32:06

I'm going to uh start a car repair

32:08

shop."

32:10

And he said, "What? Why are you going to

32:12

do that?" And he's like, "Just, you

32:14

know, I think it's a good business to go

32:16

into." And he became and he owns now one

32:19

of the largest car repair shops. Uh, and

32:23

it's almost a monopoly in that country.

32:25

And the reason why when I asked him why

32:27

did you do that? And he said, "Did you

32:30

see who I was competing with?" you know,

32:33

he was competing against car mechanics

32:34

that were doing this as a almost like a

32:38

lifestyle business and he just trounced

32:41

all these guys. That's the kind of

32:44

thinking that you need to do if you're

32:45

going to mark.

32:47

You need to com stop competing against

32:50

other smart people. Compete against

32:53

idiots. Okay? Trust me on this. Now,

32:57

smart people can make really dumb

32:59

mistakes.

33:01

Okay? And it's a lot of fun to be able

33:04

to exploit that when it's happening. Uh

33:08

uh it's rare but it's possible.

33:11

Okay.

33:13

M smart people do a lot of networking

33:16

mistakes. They don't belong to multiple

33:18

networks. Okay. So what I mean by that

33:21

is is they tend to have one network and

33:25

then belong to just that. Whereas you

33:28

should join multiple networks. So for

33:30

example, we've tried to build a network

33:32

to be east coastbased, west coastbased,

33:35

um to have a network in Europe, to have

33:38

a network in Southeast Asia,

33:41

and I want to belong to multiple

33:43

networks. So there's my back network,

33:45

there's my poker network, there's my

33:47

investing network, there's my all the

33:49

geeky stuff that I study. Recently, we

33:52

did a case study on the NFL. It's the uh

33:57

uh case study that keeps on making us

33:59

money. Uh because a lot of the tactics,

34:02

the new tactics that we've learned,

34:03

we've learned from the NFL. We're

34:05

applying it to investing. Like for

34:07

example, in the NFL, there's a concept

34:09

called football intelligence. And we've

34:12

realized that young investors that have

34:15

great investing intelligence tend to be

34:18

better analysts. uh uh and we have ways

34:21

of picking up on investing uh in we call

34:24

investing intelligence. Now um uh uh so

34:28

you know how can you belong to multiple

34:31

networks you have to think about that

34:34

uh having an underutilized network a lot

34:36

of smart people tend to know a lot of

34:38

people but they don't keep in touch with

34:41

the network or know how to utilize it

34:43

for idea generation idea confirmation

34:46

now having a lot of triads in your

34:47

networks so I've spoken about this in

34:49

other my talks so triads is when you've

34:54

introduced uce two people to each other.

34:56

And Judaism, uh, it's called a mitzvah

34:59

to introduce a man and a and a and a

35:01

woman together. Uh, it's a blessing. Um,

35:05

uh, I'm not Jewish, by the way, but one

35:07

of my mentors, uh, is, and he's been

35:08

teaching me, and I've applied that, how

35:10

do you do business mitzvah? So, one of

35:13

the things that I do if I'm studying an

35:14

idea is I always say, "Hey, who are the

35:17

two smartest people that I'm

35:18

collaborating with this idea that don't

35:20

know each other that I can introduce

35:21

to?" the more triads you have in your

35:24

network, the more you perform uh uh or

35:28

you're successful. The sociologists

35:30

actually done a great work on that. Not

35:32

refreshing your network. You know, the

35:35

smart people tend to consolidate with

35:37

this group that they have and they very

35:39

rarely go and meet new people and then

35:42

too many dormant ties uh which is people

35:45

that you know that you haven't spoken

35:47

with. You have to fix all of that.

35:50

Smart people tend to love intricate

35:52

complexities. It's kind of how they show

35:55

they're smart. Uh the a very close

35:58

friend of mine runs a fund and he was

35:59

invested in the name where literally to

36:03

understand it and to make money in it,

36:06

you have to understand California

36:07

weather patterns. Okay? And the guy the

36:10

analyst that was covering that for him

36:13

uh was intellectually arrogant and he

36:15

loved this idea but he also lost $400

36:18

million investing in it. Right? It's not

36:22

intricate complexities that matter. It's

36:25

actually finding unrecognized

36:27

simplicities that matter. Right? And

36:29

this quote most geniuses especially

36:31

those who lead others prosper not by

36:34

deconstructing intricate complexities

36:36

but by exploiting unrecognized

36:38

simplicity. It's something that is

36:40

simple that no one is really looking at

36:43

that really you're going to be making

36:45

money on.

36:47

Smart people love to be right.

36:51

And again, as the words of Stan Duck

36:54

Miller, it's not about being right or

36:56

wrong. It's about how much money you

36:57

make when you're right minus how much

36:59

you lose when you're wrong. I'm wrong

37:01

all the time and it's okay. But I like

37:06

to be the first to recognize that I am

37:08

wrong. And I have designed my friends to

37:12

literally grab me by the shirt, slap me

37:15

around me like, "Hey, jackass, you're

37:16

about to make a mistake." And it's okay.

37:19

And I'm okay with making mistakes. And

37:21

then you realize, all right, you know,

37:23

it's you made a mistake. So what? Move

37:26

on. Okay? Learn from it, but move on.

37:29

try not to repeat it and it's actually

37:31

one of the qualities of great investors

37:32

is they tend to not repeat that big

37:35

mistake again. Okay. Uh but it's very

37:39

important to be able to let go of being

37:43

right. One of the smartest macroinkers I

37:47

know is one of the worst money makers

37:50

I've ever seen. Mostly because he wants

37:52

to be right. Not being emotionally

37:55

developed. Okay. For a smart person in

37:58

the mid20s, much more important to go

38:01

develop your emotion emotional side and

38:04

not be emotionally repressed than it is

38:07

to go and learn modeling skills, for

38:10

example. Take a dance class, travel,

38:14

preferably as a group activity, what's

38:16

called a compound experience. Learn new

38:18

languages, try new foods, have novel

38:21

experience, constantly meet new people,

38:23

learn diverse skills. Especially if

38:25

you're shy, go learn comedy, improv,

38:28

public speaking, acting even. There's a

38:31

concept called dynamic evaluation. Uh

38:35

it's one of the new ones for us and

38:36

since we've started doing that, our

38:38

performance has improved, which is that

38:40

if I'm studying an idea, instead of

38:43

putting my strengths in play, I put my

38:47

weaknesses in play as well. So, for

38:49

example,

38:50

uh uh if an analyst is shy

38:55

and he's reporting to me on an idea, I

38:57

always be like, "Okay, I need you to

38:58

call five people that you don't know and

39:01

ask them these questions." So, that

39:04

since his weakness is shyness, putting

39:07

that weakness into motion actually helps

39:09

you make money. Okay, we learned that

39:12

concept from a psychologist called Phil

39:14

Stuts, who I'm kind of obsessed with

39:16

right now. If you haven't seen Stuts,

39:18

the documentary on him uh by Jonah Hill

39:22

on Netflix, it's a mustwatch. It's it's

39:25

one of these things where maybe I got

39:28

exposed to it when I needed to, but I

39:30

literally improved

39:33

when I when I when I learned and studied

39:36

uh uh all his books, his interviews. I I

39:39

did a deep dive on him last year.

39:41

Fascinating. must learn especially if

39:45

you're a very smart person.

39:47

Um, okay.

39:50

So, Celeb wrote this amazing piece in a

39:56

very Tbian

39:58

uh way uh usually filled with insults

40:02

and and

40:04

uh very very smart sarcasm. But I

40:07

actually think this is a required

40:09

reading for today. uh and he calls it

40:11

the intellectual yet idiot. It's a

40:13

chapter in one of his books called Skin

40:15

in the game. You can actually find it

40:16

for free on Medium. Um there's a lot of

40:20

people in academia, leadership,

40:23

governance, governments that are

40:25

intellectual but yet morons and you have

40:27

to kind of know when you're dealing with

40:29

horn.

40:31

By the way, there's a lot of these guys

40:33

in the investment business as well.

40:35

Okay. Lack of self-awareness. Big

40:37

mistake smart people make. You don't

40:39

know your power zone. What are the ideas

40:42

that are your power zone that if you

40:44

invest them, you're going to make money.

40:45

I find that you need outside people to

40:48

tell you that because some of my

40:49

friends, they actually don't know what

40:51

their power zones are. Where if you're a

40:53

great observer of your friends, you'll

40:54

know what their power zones are. So, for

40:57

example, if one of my buddies calls me

40:59

with a retail name, it's an automatic

41:02

short because he's been trying to go

41:04

long retail for 22 years that I've known

41:06

him and he's O for O at every moment.

41:10

And at one point, he was like, I'm going

41:12

to quit investing in retail. I was like,

41:14

no. He's like, why? He's like, why

41:16

deprive the rest of us? You know, doing

41:18

the opposite what you do in retail is as

41:20

good as doing, you know, like no, don't

41:24

keep doing that.

41:26

um you know, but he like persists. He

41:28

like is obsessed with retail uh and

41:31

losing money at it. But yet, if he's

41:33

doing industrials, he makes money. And

41:35

for some reasons, industrials have saved

41:38

them. And then, and by the way, not just

41:40

the last few years where industrials are

41:42

literally like this, but throughout our

41:44

careers together, okay? Not taking care

41:48

of your life force. So your life force

41:50

is

41:52

your relationship with your body, your

41:54

relationship with your mind, and your

41:56

relationship with other people. Okay?

41:59

Very smart people need to take care of

42:03

their bodies. One of the reasons you see

42:06

smart people leave the investment

42:08

business is they lose the energy of

42:10

dealing with markets. So working out

42:15

uh relaxing, massaging, doing things

42:18

that force you to recover

42:21

uh over long periods of time is very

42:23

important. Keeping up with emotional

42:25

relationship with others. The the study

42:28

this concept life force is very

42:30

powerful. Never developing your own

42:32

style. So

42:35

when my first coach, investment coach,

42:38

had me go to things that were more my

42:41

style, despite my insecurities about my

42:44

style, my performance went up. To this

42:46

day, I'm still shocked. Uh, and being

42:49

okay with that. There's something about

42:52

Mrs. Market,

42:54

when she feels your style, she wants to

42:58

reward that. I know it sounds like

43:00

cuckoo nonsense, but I really do believe

43:02

that that when your personality and your

43:06

authenticity is imbued in your

43:09

investing, that's when you get rewarded.

43:13

Not getting feedback on your ideas and

43:14

sites or processes, not knowing your

43:17

talents that you have ritualized and

43:19

amplified to be a strength. So, for

43:21

example, if you're good at field

43:23

research, and by the way, we are,

43:26

we like to focus on consumer stocks

43:28

because the field research is much more

43:30

easier to be done, right? So, how do you

43:33

amplify that? Follow the 13Fs uh and

43:36

hedge fund letters of great consumer

43:38

investors, surround yourself with other

43:40

people that are great consumer stocks,

43:41

and so on. Not knowing your weaknesses

43:44

or negative patterns, which leads to a

43:46

lack of dynamic evaluation, which I was

43:47

just talking about.

43:50

All right. There's a great book, I think

43:53

it's called No More Mr. Nice Guy, where

43:56

he talks about the paradigm. And we've

43:59

noticed this in multiple aspects that

44:02

smart people often have the wrong

44:03

paradigms. And what he says is that a

44:06

paradigm is a road map we use to

44:08

navigate life's journey. It's everyone

44:10

uses these road maps and everyone

44:12

assumes the map they are using is up to

44:14

date and accurate. Paradigms often

44:16

operate at an unconscious level, yet

44:18

they determine to a large degree our

44:20

attitudes and behavior. They serve as a

44:23

filter through which we process life

44:25

experiences.

44:26

Data that does not fit our paradigm is

44:29

screened out and reaches our conscious

44:31

mind.

44:33

One of the ways that we add value to

44:35

analysts

44:37

that come work for us is we find where

44:40

their paradigm is wrong about investing

44:42

and we give them the concepts, the

44:45

tools, and the processes to shift that

44:47

paradigm. And it's it's one of the ways

44:50

you should never hire somebody unless

44:52

you know how to improve them without him

44:55

being known that he's that that he's

44:58

being improved. And one of the problems

45:00

with hiring the kind of guys that we

45:02

like to hire and they tend to be uh uh

45:07

uh intellectually set in their ways. So

45:10

you you you have to improve them in a

45:12

way where you're not forcing yourself uh

45:15

uh upon them. And changing the paradigm

45:18

is how you start uh doing that. And we

45:21

have ways of doing that. By the way, the

45:23

last part is cool. It's very important.

45:25

Most paradigms are developed when we are

45:27

young, naive, and relatively powerless.

45:31

They are often based on the inaccurate

45:33

interpretations of childhood

45:34

experiences. Since they are often

45:37

unconscious, they are rarely evaluated

45:39

or updated. Unfortunately, these

45:41

paradigms are assumed as to be 100%

45:44

accurate even when they are not the

45:47

wrong mindset. So think about paradigm

45:51

as having an influence on mindset. When

45:55

you change somebody's paradigm, it can

45:57

have an impact on mindset. But

45:59

analytical mindset

46:02

is

46:04

a very powerful to actually be able to

46:06

alter especially in your own. If you if

46:08

you see investors that have improved

46:10

over long periods of time, they had a

46:14

process for consciously

46:16

changing their mindsets over time to be

46:18

able to adapt. Uh you saw Warren do it.

46:22

You saw Charlie do it. You saw a lot of

46:24

Tiger Cubs do it, especially with the

46:26

influence of Steve Mandel. You saw

46:28

Julian do it. Uh you saw a lot of the

46:32

Tiger Grand Cubs do it, especially after

46:34

the influence of two of the best

46:36

investment teachers that the world has

46:38

ever seen uh at Columbia University. Uh

46:41

and it's very powerful, but you got to

46:43

be aware of it to be able to do it. And

46:44

this quote uh by Richard Hoyer, so

46:47

Richard Hoyer was inside the CIA, and

46:51

he's the one that taught CIA analysts to

46:53

do better analysts and literally put in

46:55

a book called The Psychology of

46:57

Intelligence Analysis. and his kid Dick

47:00

Hoyer Jr.

47:02

wrote structured analytical techniques

47:05

uh which is a must readad okay as an

47:07

analyst um and by the way structured

47:11

analytical techniques I often thought it

47:14

was wrongly named it should actually be

47:15

called structured uh networked

47:18

analytical techniques because the

47:20

networking advice it gives in those

47:22

books are even more powerful uh

47:27

all right

47:29

we have let's say 10 more minutes and

47:32

then we'll get to questions Ethan. Okay.

47:34

All right. So, what are the biases?

47:38

So, you see, one of the problems with

47:40

smart people is that they're still prone

47:42

to cognitive biases and blind spots.

47:46

But because they're smart, the

47:47

intelligence actually amplifies these

47:50

things as opposed to minimizing it.

47:52

Somebody that's not so smart

47:55

doesn't have that. He doesn't know about

47:57

these things. That's why he rushes in.

47:59

Right? The first time I noticed that was

48:01

in high school. In my high school, it

48:03

always befuddled me that the smartest

48:05

guys I know were very bad with girls,

48:07

whereas all the morons were getting all

48:08

the girls. I was like, how is that? I

48:11

don't how I don't understand how that

48:13

works. And I think sometimes smart

48:16

people are really good at coming up with

48:19

negative visualization as to why what

48:22

they're doing is not going to work.

48:24

Right? she's not gonna like me because

48:26

of these really brilliant reasons.

48:29

Right? Whereas the the other guy is

48:30

like, "Yeah, I have nothing to lose.

48:32

Let's go." Right? And you know, to this

48:34

day, I still can't believe I would look

48:37

at how is I don't get it. Um, okay. So,

48:41

what are the biases? Intellectual

48:43

arrogance,

48:45

lack of meta rationality. So what metar

48:49

rationality is is having the humility

48:53

and understanding

48:55

right that there's somebody smarter than

48:57

you doing something and that you need to

49:00

to to to m to minimize your own

49:04

intelligence that wants to do X and go

49:06

do Y which is what the smart guy is

49:08

doing gets more effective. It's actually

49:12

harder than you think. Okay.

49:15

When I hear I've done six months of work

49:18

on this and I think the idea is bad, if

49:22

the guy is long, it's almost an

49:23

automatic short. Okay? Why? Because

49:26

you've probably done five months, three

49:30

weeks, five days too much work on this.

49:34

Okay? Be very careful whenever you hear,

49:36

I've done six months of work on this,

49:38

especially as a stock is going down.

49:40

value itis when you overly anchor to

49:44

valuation your investment thesis. Why do

49:45

you own it? It's cheap. So that's not a

49:49

that's not an investment thesis. Who

49:51

cares

49:52

if it's cheap? There's 5,000 books on

49:55

value investing on Amazon. Okay?

49:57

Everybody's a value investor. It has it,

50:00

you know, in the 70s when no one knew

50:02

value investing, it was an advantage to

50:04

be a value investor. Okay? Today it's

50:07

very it's harder. It's way more

50:09

competitive.

50:10

I missed it. Bias. This is when you you

50:13

you talk about an idea, the stock is up,

50:15

and you hear somebody say, "I missed

50:17

it." Or better yet, you think it time to

50:21

do some work. You haven't missed

50:22

anything.

50:24

The best stocks are the ones that you

50:26

buy at new highs.

50:28

Um, emotional estimation, seeing

50:31

validation. You have an emotional

50:33

reaction about something that is not

50:36

based on thought and then you go and you

50:39

only look for validation that you're

50:42

right as opposed to disisconfirm the

50:44

evidence that you're wrong. Loss

50:46

aversion. So like I said, this causes

50:49

very smart people to be risk averse and

50:51

they make mistakes of omission often

50:53

that maximizes opportunities because

50:55

they come up with extremely intelligent

50:58

negative visualizations about

50:59

opportunities,

51:01

right? ambiguity aversion. You know the

51:04

one of my favorite strategic thinkers,

51:06

he says we are born into a probable

51:09

reality with ambiguity aversions as

51:11

humans. Okay, you have to be comfortable

51:12

with that. You have to be comfortable

51:14

what the v military

51:16

uh calls vaua conditions. So volatility,

51:19

uncertainty, complexity and ambiguity.

51:21

You know we love vaua conditions in

51:24

markets for example because that's where

51:25

opportunities are actually created.

51:27

Justice mechanism. So a lot of smart

51:30

people have the justice mechanism where

51:33

they want to see justice and you often

51:38

see short sellers that have that when

51:40

management teams are committing fraud.

51:41

They're like these guys are fraudsters

51:43

and they want to short the stock not

51:45

realizing that they don't set the price

51:46

and they're shorting into massive retail

51:49

buying that is not seeing the fraud and

51:52

they can lose a lot of money. As a short

51:54

seller, you have to be very very careful

51:55

that mechanism self- sabotage the

51:58

self-destruct button. One thing I

52:00

noticed very smart people, they get rich

52:03

and there's a self-destruct button that

52:05

they keep pushing and they start losing

52:07

money. Um, it's one it's we all have it

52:12

in humans. By the way, I'm not saying uh

52:15

by the way, I'm prone to probably every

52:17

bias in here, but we have

52:21

systems and processes.

52:23

Usually my friends that thank God love

52:26

me dearly are like, "Hey, jackass,

52:28

you're doing that again, okay?" And stop

52:29

it, right? Projecting too much of the

52:33

past into the future. The game has

52:35

changed. the internet, social media,

52:38

narratives, new players, quant funds,

52:42

ETF, passive,

52:44

uh, uh, have changed the game. You can't

52:48

take a look at a past situation and

52:50

project it into the future anymore.

52:51

There's novelty now. It It's very, very

52:53

different. And then procyclical

52:55

behavior, which usually you're making

52:57

money, so you jack up risk, you jack up

53:00

exposure, and you come into a loss and

53:03

you start losing the money that you put

53:05

you put in. All right, here are the

53:08

blind spots.

53:10

High personal business overhead, a

53:12

killer for smart people. Be very careful

53:15

as you succeed that you jack up your

53:18

personal overhead. It amplifies almost

53:20

every uh bias you have and creates blind

53:23

spots. While you're focusing on your

53:27

overhead and the cost and how expensive

53:29

it is, opportunities are going by,

53:31

threats are going by, you're not seeing

53:33

them. Goal induced blindness or having

53:35

the wrong goals. So, for example, in our

53:38

investing, one of our goals is

53:40

mentoring, learning, and teaching.

53:43

It's actually even though it seems like

53:45

a selfless act, it's actually something

53:47

that helps us make money as well. The

53:50

echo chamber problem where you have the

53:52

same source of information, same people

53:55

that you speak with and you don't have

53:58

diversity in them and it forces you to

54:00

lose money. Uh stale networks, same

54:03

thing. Having the wrong social

54:05

influences causes massive blind spots.

54:08

Structural and conditional blindness.

54:10

You know, we tend to walk around

54:13

regulatory, physical structures, social

54:16

structures, and almost are blind to it,

54:20

right? We're blind to the economic

54:22

regulatory forces that are having a

54:25

massive impact on our lives or pushing

54:29

us backwards. You have to wake up to

54:31

these things. you know the in the

54:33

investment business the there's a

54:36

there's either micro guys or macro guys

54:39

but there's actually one level called

54:41

the messo. So you have the micro, the

54:43

messo and and the macro. And the messo

54:46

is one step above the mic, the micro.

54:49

You have to know the influences that are

54:50

having an impact on you, your

54:53

businesses, and it's only one step

54:55

above. Don't go too far because I think

54:57

really ma real macro investing is very

54:59

difficult. Um, uh, we've studied it.

55:03

Eventually, we will evolve to that, but

55:06

we don't have what it takes yet to get

55:08

there. Uh if you study the evolution of

55:10

Stan Duck Miller and George Soros, they

55:12

started out as equity guys first and it

55:15

involved a macro. But start getting good

55:17

at the messo, right? And then the

55:20

geography and culture of your thought,

55:23

you know, in the west we tend to see

55:25

things very differently than in the

55:27

east. There's a great book on this. It's

55:28

called the geography of thought. A

55:30

second great book on this. I'm obsessed

55:32

with the writer. um is he's a French

55:36

sonologist called uh Franisa

55:39

he

55:40

uh the book is called treaties on

55:42

efficacy which is an analysis of Chinese

55:46

strategic thought and western strategic

55:49

thought brilliant and then being stunned

55:51

in one part of your be Mary as a last so

55:55

body emotion mind environment

55:57

relationship ideas if you're missing

55:59

things in those areas that can have a

56:02

big impact and create a blind spot

56:05

Okay. Tools to mitigate your blind

56:07

spots. I have to speed up because I have

56:09

five minutes. Price implied

56:11

expectations. Very powerful to do. Uh

56:14

it's a lesson from Michael Moeson. Read

56:17

his book, Expectational Investing.

56:19

Tutorial 8 for free on his website.

56:22

Teaches you how to do these things. Do

56:24

it. Okay. When I started out gambling,

56:28

I loved it because a gambling position

56:30

has embedded odds in it that you can

56:32

figure out and then you can actually

56:34

estimate your probability of winning and

56:37

losing and what your profit margin is

56:39

going to be. When I got to investing, it

56:41

was actually very difficult to to

56:44

understand what odds are priced into a

56:47

stock. Well, guess what? Mobison gives

56:50

you that process. very powerful teaching

56:53

and mentoring. Even at your age today,

56:56

start teaching and mentoring younger

56:58

people. Very important. Look for

57:02

mentors. You know, I have a saying. It's

57:05

from my grandfather actually. When

57:07

you're younger, you need older mentors.

57:09

But when you're older, you need younger

57:11

mentors because they remind you how to

57:12

be young again. It's one of the reasons

57:14

why I like to spend time with younger

57:16

people, right?

57:19

uh value principles

57:21

uh get to know them. Value investing

57:23

isn't dead, okay? It's just that there

57:25

needs to be an adaptation of how you

57:27

apply value principles. The premortem

57:30

and the pre- parade by Gary Klein and

57:33

Danny Conaman. So premortem is a process

57:36

of saying, "Hey, I'm about to make an

57:37

investment or a decision.

57:40

If five years from now ends up that

57:42

decision was a catastrophe, why did it

57:44

go wrong?"

57:46

and take those reasons and and solve for

57:50

them. It's very powerful. But also do a

57:52

pre- parade, which something I learned

57:54

from uh uh uh venture capital where they

57:58

say, "Hey, the mistake is not losing a

58:01

dollar." The mistake is when you've lost

58:04

access to $1,000 from investing one is

58:08

you say, "Five years from now, this

58:10

thing has been a a multibagger.

58:15

Why did it happen or why did we miss it

58:20

five years from now? It's very powerful

58:21

psychologically to do it especially as a

58:24

team. AC analysis competing hypothesis

58:27

very powerful process that you get from

58:29

that book. Uh the psychology of

58:32

intelligence analysis. Okay. And then

58:35

scenarios, timelines and indicators also

58:37

that you get from that book. Boar

58:40

debates very powerful to if you're long

58:44

to find a short seller and debate him on

58:46

the idea. If you're short, find a guy

58:49

that's long, debate him on the idea.

58:51

There are services that you can pay on

58:53

Wall Street to get that. One of our most

58:56

used tools is the bull bear debate. In

58:58

fact, sometimes I don't know anything

59:01

about an idea. I literally will study

59:03

for 20 minutes and come up with a thesis

59:05

and debate a short seller on it uh long

59:08

or if he wants me to debate the short

59:10

side, I'll debate the short side. It's a

59:12

very powerful way to learn.

59:15

Here are some of the books I would

59:16

recommend. Uh the intelligence trap uh

59:19

mistakes were made but not by me. Uh one

59:22

of my favorites on here is Military

59:24

Misfortunes: How Smart Militaries Make

59:27

Catastrophic Mistakes. when genius

59:30

failed which is on on long-term capital

59:33

management and how they failed why smart

59:36

people make big money mistakes and how

59:37

to correct them and then one of the best

59:40

ways to understand narrative investing

59:42

today which is the halo effect

59:44

you have to read Michael Moes's research

59:48

this one methods to improve decision-m

59:50

very powerful

59:52

Elon has a process that I love I just we

59:56

just did a study on this actually and it

59:58

improved our process is like what are

60:00

the requirements of our investment

60:02

process and how do we kind of make them

60:05

less dumb like for example

60:08

a lot of investment firms require

60:10

meeting management to make investments

60:12

we don't why do you need to meet a CEO

60:15

like literally you know no father ever

60:18

thinks his daughter is unattractive no

60:21

mother ever thinks uh uh her son is

60:23

unattractive of course the CEO is going

60:24

to say good things it's a waste of time

60:26

sometime if you meet a CEO Talk to him

60:28

about his competition, about his

60:30

suppliers, what's going on in the

60:31

industry. Fine. You talk to him about

60:34

the business. That's not a requirement

60:35

for us. Delete the parts of process

60:38

step. For example, on the short side,

60:41

we've deleted a lot of process steps.

60:44

Well, the pro you to solve the problems

60:46

of the short side. Optimize, you know,

60:49

how do you make a step or process

60:52

uh a part of the process better?

60:55

Accelerate. How do you speed it up? How

60:57

do you automate? You know, with the the

61:00

with AI, there's certain things that

61:02

we've automated, but today people are

61:04

automating things without doing the

61:06

previous four. Very dangerous.

61:10

Michael Moeson wrote a memo called Alpha

61:12

and the Paradox of Scale, which is a

61:15

must readad of how to find weak games to

61:20

compete against. All right.

61:24

Final

61:25

mentor and teach use coaches.

61:28

One of the latest things we've been

61:30

teaching and I'll stop with this by the

61:32

way is

61:34

young as a younger person start watching

61:36

out for the decade of your 40s and your

61:39

50s both men and women. The and for many

61:43

people this is a lost decade and often

61:47

because they don't understand what's

61:48

happening there. But men go through a

61:51

form of menopause.

61:53

Women go through a form of menopause.

61:56

And it starts impacting your energy, how

61:58

you think, your mood, and all of these

62:00

things. And the midlife crisis dynamics

62:03

are really real. Okay? You don't have to

62:05

worry about that. And you're probably

62:07

saying, "Why is this boomer talking

62:08

about this shit?" But trust me, it's

62:10

coming. Okay? And the earlier you manage

62:13

for it, the better. uh for in many ways

62:16

for me my 40s was a lost decade. It

62:19

really was. Uh because the the the even

62:22

though I was aware of it there were

62:24

certain things it's like it's and I find

62:26

almost everybody goes through it. You uh

62:29

investment man there's a great data set

62:32

that Michael Mglesson showed me once

62:34

about investment managers how their

62:37

performance drops in their 40s. Okay.

62:40

Really interesting. Okay. Build leverage

62:43

into your personal and business life.

62:45

Not the ability to borrow money but

62:47

capital code content community

62:49

contractual structural and conditional

62:51

leverage. Very powerful. I have a

62:53

YouTube talk on this. Go do it. Have a

62:56

spiritual practice. Very important for

62:59

smart people to have a spiritual

63:00

practice. Uh have thought partners and

63:03

confidence. The power pair or the power

63:06

of the unstoppable too. I'm very lucky

63:08

to have confidence that if I have an

63:10

idea, I can pitch it to them and they're

63:12

very gentle with my ego about giving me

63:15

feedback on it. Okay, you need people

63:17

like that. You want to be people like

63:19

that and know how to build the right

63:21

ritual. So, we have a ritual, for

63:22

example, called the morning 90. Every

63:25

day, even today, I wake up, I read three

63:28

hedge fund letters, one investment memo,

63:31

and I go through the 13F of one

63:33

investment manager looking for ideas

63:35

every day. And that process feeds my

63:38

competitive advantage.

63:41

I have four or five things I'm world

63:43

class at. I need to do something on a

63:46

daily basis that feeds these things.

63:48

Find what that is for you. AI is going

63:51

to amplify smart people's mistakes.

63:54

Okay? Where we're where a people are

63:56

using these AI tools

63:59

and they're making really big mistakes

64:01

using them. Okay? An analyst has five

64:04

skills they need to hone and develop.

64:06

Recall off past patterns, mental

64:08

visualization of a business within the

64:10

feedback loops of its ecosystem, to read

64:12

between the lines, to make leaps of

64:14

judgment, and to synthesize. AI tools

64:17

inhibit or dull all these investment

64:19

skills, especially in rookies. Okay, so

64:22

watch out for these tools. Learn analog

64:24

training.

64:26

Thanks so much, guys, by the way, you

64:28

know, so you know, for listening. If you

64:30

have any questions, you know, hit me up

64:32

on LinkedIn afterwards if there's any

64:34

way I can be helpful.

64:35

>> Oh, for sure. And thanks so much for

64:37

your talk. There were a lot of

64:38

interesting insights there. I think I

64:41

definitely related to the over

64:43

stimulation

64:45

um and the reliance on Gen AI. Like I

64:48

think because you have so much access to

64:52

these tools, we have so much access to

64:53

these tools. It's very easy to get

64:56

intellectually lazy and just um pull out

64:59

my phone over here and just, you know,

65:01

go straight to the chat GPT app and and

65:04

ask something and have a discussion

65:06

because the, you know, the the speed of

65:08

information is rapid. And I [snorts]

65:11

guess my first question is about that.

65:14

It's about this intellectual laziness.

65:18

Um, and I I guess I'm curious how you

65:21

think that what are the specific impacts

65:24

that you think will come from that

65:27

within the markets? Do you think there

65:29

will be a lot more BS retail ideas? Um,

65:34

and and because that's the the one thing

65:36

I can think of as a as a clear, you

65:38

know, it amplifies a certain story.

65:41

Let's say there's an there's a certain

65:42

AI narrative that a lot of news outlets

65:45

are talking about and and obviously that

65:47

text data gets fed into the models and

65:50

we have this kind of recursive thing

65:52

going on and you know cuz because that's

65:54

one thing I can think of and I'm curious

65:56

if someone identifies something like

65:58

that is it exactly a short because these

66:02

things can go much higher before they

66:04

can go lower. I'd love to hear your

66:05

thoughts.

66:07

So, uh, great question.

66:11

Uh, uh, the first is [ __ ] goes and

66:14

fantasy stocks.

66:17

Okay. So, there's a group of stocks out

66:19

there in the stock market that retail

66:22

keeps buying.

66:24

And if they had a knowledge of history,

66:29

they kind of know how that story is

66:31

going to end. You know, you have $20

66:33

billion market cap companies that are

66:37

never going to earn the free cash flow

66:39

that has to actually justify those

66:42

valuations. Okay? So, just imagine

66:46

a $20 billion market cap company at a 5%

66:50

discount rate has to generate 1 billion

66:54

in free cash flow every year to just

66:56

justify the market cap at no growth.

67:00

Assuming a 20% free cash flow margin,

67:03

that 1 billion, you got to do 5 billion

67:06

in sales.

67:08

Okay? If you take their cost per widget

67:11

that they're selling and you take that 5

67:13

billion divided by it, they they have to

67:15

do a number of units that they they

67:16

don't even know how to manufacture that.

67:19

So, some of these businesses that have

67:21

zero revenue, that have large market

67:23

caps, will never make the free cash flow

67:26

to justify the market caps in the long

67:28

term. And the short term, people are not

67:32

doing deep work on them and they're

67:34

bidding them up and buying them on

67:37

narratives,

67:39

right? And narratives are amplified by

67:42

AI tools.

67:44

by the way. Um,

67:47

so

67:49

one of the problems of these AI tools

67:52

that it hasn't escaped the manipulators

67:56

that people are using these tools

67:58

already. Smart marketers are designing

68:01

pieces of content that the LLMs pick up

68:04

on and put as a link with their product

68:07

and to the link if you click through it

68:09

so that you go and pay the product. you

68:11

know, the smarties out there that are

68:13

way smarter than we will ever be,

68:15

they're figuring out, hey, how can we

68:17

use this to growth hack the system,

68:20

okay? So, you're you're going to need to

68:25

to to be careful. I think AI is going to

68:28

amplify

68:30

uh one of my favorite lines from a one

68:32

of I'm obsessed with Chris Nolan. Uh

68:35

almost everybody my personality, if you

68:37

ask somebody my personality type, what's

68:39

your favorite movie? the Batman trilogy

68:41

is always in there like and you know

68:43

theatricality and deception you know are

68:46

going to be amplified by AI you know so

68:49

so you have to be very very careful uh

68:51

with that and the younger generations

68:53

that don't have analog training that

68:56

haven't read the book the books that

68:58

don't know the historical context that

69:00

just look at snippets and snack on

69:04

information as opposed to sitting with

69:06

the book under constraints and really

69:09

thinking about it. Um,

69:13

they're going to lose a lot of money.

69:14

We're already seeing it happen.

69:16

>> Another thing you talked about during

69:18

your talk is this this idea that you

69:20

have multiple networks. So, I think you

69:22

said Southeast Asia, Europe, I think you

69:24

did you grew up in Paris. Correct me if

69:26

I'm wrong.

69:27

>> Uh, partly Haiti and France and

69:29

Switzerland and United States.

69:31

>> Okay. Okay. Then I lived in Zilla at one

69:35

point. I lived in Jamaica at one point

69:37

and I've traveled uh one of my goals is

69:40

to go to every country in the world. I

69:42

think I'm halfway there by now actually

69:46

the day I did I did cheat a little bit.

69:49

I crossed from Sweden into Norway uh and

69:52

a bridge and came back. I'm like check I

69:55

need to go back.

69:57

>> Yeah. Awesome. Awesome. Um and I I just

70:01

love to for you to expand on that. Are

70:03

you talking about different geographies,

70:05

different industries or is it just

70:07

everything in general just so that you

70:09

can have

70:10

>> as diverse in thought?

70:13

>> Of course. So, so for example,

70:16

um in your network needs to be

70:19

structured by age,

70:23

geography,

70:26

sectors

70:28

and then whatever passion projects you

70:30

have,

70:32

you know. So for example, a lot of

70:33

people they have their their people they

70:35

know at work an extended network people

70:37

they know in their country club and

70:39

that's all a lot of political problems a

70:43

United States today for example is guys

70:45

that don't know what it's like in a

70:47

steel me mill town in Ohio

70:51

that that steel mill is no longer there

70:54

you know that you you don't have that

70:56

perspective

70:58

um uh so for example if I'm learning so

71:01

my passion project right now is is

71:03

learning uh producing and movie

71:06

directing.

71:08

Okay. And I've been expanding my network

71:10

of producers and I've met a couple

71:12

directors. Unbelievable what we're

71:14

learning there. Okay. And we've been

71:16

literally stealing stuff from there. How

71:18

can we apply that to investing,

71:21

right? So, so you want to develop that

71:23

network. And then what you see is that

71:25

when you're asking for advice, you can

71:27

ask different people in different

71:30

networks. And there's two processes uh

71:32

that come from that. Uh one of them is

71:36

wisdom is multiple perspectives.

71:39

When you get multiple perspectives on

71:41

something, you tend to be wiser on it.

71:43

And the second is leading versus lagging

71:45

indicator analysis. So if for example on

71:48

a stock you talk to a day trader on it,

71:52

then you talked to an option market

71:53

maker on it, then you talked to a long

71:55

only guy on it, then you talked to a

71:56

short seller on it, you talked to a

71:58

macro guy on it. At the end you will

72:01

notice who is a leading indicator on the

72:03

idea, who is a lagging indicator on the

72:05

idea. It's a very powerful uh thing to

72:08

do. So, so for example, one of the

72:11

things I always advise young people

72:13

whenever they join a city is join at

72:16

least two or three different uh clubs.

72:20

Try to join the Brook, try to join the

72:23

racket club in New York City, try to

72:24

join the university club. And those

72:27

networks are very powerful.

72:30

leverage the alumni network of your

72:32

school. You belong to that. Okay. So,

72:36

you you literally want to classify by

72:38

network. Um

72:41

um you know the I'm probably going to do

72:44

uh a piece on networking. I think I may

72:47

have actually on that because they

72:48

people don't know how to network in the

72:50

investment business. What's funny is

72:51

that I'm known as a good networker. I'm

72:54

actually not. It's that the techniques I

72:56

use are really good.

72:59

Right. So, and one of them is you have

73:01

to belong to multiple network. One of

73:03

the latest ones uh uh for me a lot of my

73:07

friends are either on the board or

73:09

involved with the Santa Fe Institute

73:11

which is a complexity and network theory

73:13

think tank. Very important to study what

73:15

these guys are up to. some of the the

73:17

earliest VCs that were able to value of

73:22

of social media had read a book called

73:27

complexity by Mitch Waldrop that came

73:29

from the Santa Fe Institute and is still

73:31

an edge today by the way to read that

73:32

stuff. And going back to the

73:35

self-regulation for a young person,

73:38

sometimes I feel I don't know if it was

73:40

this morning, I'll pull out my phone and

73:42

I'll just check messages immediately

73:43

check Instagram and just get, you know,

73:46

hammered with all the stimulation

73:48

imaginable. And I'm just curious, what

73:50

does your typical morning routine look

73:53

like? And I say that question knowing

73:55

that what your routine should look like

73:58

should be very different to ours cuz

73:59

we're students and and but you are

74:02

trying to make the best investment

74:03

decisions possible. Yeah. What does it

74:05

look like? I'm curious.

74:08

>> Okay. So, it sounds

74:12

weird. Um it is.

74:16

Um,

74:18

and uh,

74:20

it's not as if I don't have an addiction

74:22

to this thing either, okay? I'm a

74:25

junkie.

74:26

>> And not only that, we own Meta, so I

74:29

have to be constantly on Instagram. I'm

74:31

addicted to Instagram,

74:33

okay? U, and Instagram knows me very

74:36

well. It's really interesting what

74:37

Instagram wants to show me sometimes,

74:39

especially if you go to your search

74:40

page. Sometimes I really don't like who

74:42

Instagram thinks I am, but fine.

74:46

The mornings

74:48

to emotionally self-regulate

74:52

uh are very important because the

74:54

initial conditions that you set in the

74:55

morning can drive

74:59

your entire day. Right? So what I do on

75:03

a daily basis and also by the way I'm a

75:07

bit reluctant always of talking about

75:10

this stuff because people think you do

75:12

this you're going to be successful. No,

75:14

that has nothing to do with success

75:16

because I know very successful people

75:18

that literally wake up with a cigarette

75:20

and a cup of coffee, okay? Like

75:21

literally a disaster way to nicotine and

75:24

caffeinate early in the morning. Don't

75:26

do that. Okay? Like the the the but what

75:29

a morning routine is going to do is

75:31

protect your resilience, longevity, and

75:33

self-regulation.

75:35

So me, I wake up and I go I get a

75:39

theraun or rumble ruler and I literally

75:43

give myself a massage.

75:46

And the reason for that is when you're

75:48

responsible for capital as you're

75:50

sleeping, you tense up because of all

75:54

the risks you're taking.

75:56

and your body when you wake up is

75:58

especially I'm 51 now you're you're you

76:02

feel more tense. So you got to trigger

76:05

your life force by working on your body

76:08

first. And the way that you do that is

76:10

actually not working out is actually

76:12

something that relaxes you. So a hot

76:16

shower and a and a theraun or rumble

76:19

roller massage. You guys know what a

76:20

rumble roller is? It's a roller with

76:22

nubs on it. It's look looks like a

76:23

torture rack and then you you rumble

76:26

your body on it. It detenses you after

76:29

that. I drink a liter of water.

76:33

You need when you get older you

76:35

dehydrate faster. It's actually one of

76:37

the things that also makes you look

76:39

older is you it's not that you you have

76:42

to hydrate more. Younger you need to

76:43

hydrate less. You still need to hydrate

76:45

but as you get older you have to hydrate

76:46

a lot more. And water when it goes

76:48

through your system actually wakes every

76:50

system up in your body. And then the

76:53

third thing I do is I exercise. Uh so

76:56

that's my morning routine. Uh and then I

76:59

have usually a a breakfast which is

77:02

usually very heavy on fats. Um it's a uh

77:06

one of the greatest harms nutrition has

77:09

ever done. The nutritional industry is

77:11

tell you that fats are bad for you. you

77:13

actually need healthy fats for thinking

77:16

especially for the brain. Uh and then

77:18

after that I do my morning 90 which is

77:22

three hedge fund letters, one investment

77:24

memo, 113F. That's my morning routine.

77:28

You know there are days when I meditate

77:31

uh especially if I'm having a problem

77:35

coming up with insights. Um one of the

77:38

things that we use to meditate by the

77:40

way is I wear earplugs when I meditate.

77:43

Okay? It's very or when I work. This is

77:46

actually one of the best things that you

77:47

can do because I'm very distraction

77:49

prone uh you know the have you ever seen

77:52

up you know squirrel you know I'm Doug

77:54

the dog you know the so so I have to put

78:00

earplugs on when I work shut down my

78:02

phone and just like like focus on stuff.

78:04

That's what my morning routine looks

78:06

like. Don't do violence to yourself in

78:09

the morning. These guys that are

78:10

plunging into ice cold bass when they

78:12

first wake up. No, no, no, no, no.

78:14

That's stupid. The you're you're

78:16

literally jacking up your adrenaline,

78:20

jacking up all sorts of negative

78:22

hormones. No, don't do that in the

78:24

morning. Wake up gently. You know, don't

78:26

do yourself violence in the morning.

78:31

>> And you know, it's it's the end of we

78:33

have four minutes left, but a lot of the

78:35

people here,

78:36

>> you can go longer if you want.

78:38

>> No worry. Yeah. Okay. No worries. But um

78:42

a lot of the people here are very smart,

78:44

very driven people. I've met them,

78:46

spoken to them, good friends with a lot

78:47

of them. And if there's one lesson that

78:52

you think a young, intelligent, driven

78:54

person should take from this talk, like

78:57

one thing, what would it be?

79:00

Triads.

79:02

So

79:04

what you did with me

79:06

where you cold called me, I happen to be

79:09

receptive to cold calls because I myself

79:11

cold call a lot,

79:14

right? And we actually design our

79:16

content strategy so that smart people

79:19

find us,

79:22

right?

79:23

But this thing of cold reaching out to

79:26

somebody that you don't know and then

79:29

building a relationship with them,

79:31

adding value to them, never lose that

79:34

ever.

79:36

One of the best ways to add value is you

79:39

meet with somebody and you ask them

79:41

whether young or old, what are your

79:43

fears and frustrations?

79:45

What are your wants and aspirations

79:47

across categories? And then you go back

79:50

and if you study a way of adding value

79:54

to them, call them back and said, 'Hey,

79:57

you know that problem you're dealing

79:58

with, that fear and that frustration,

80:00

have you considered this to solve for

80:02

it? One of the best ways to solve other

80:06

people's problems is to introduce them

80:08

to somebody that can help them solve

80:09

that problem

80:12

is how you create triads, which is group

80:14

of three people in your network.

80:16

That's the biggest leverage that you can

80:18

take as a smart person because it's

80:20

going to take you out of your echo

80:22

chamber. It's how you create emergence,

80:25

how you create luck. It's how you create

80:27

business opportunities. It's how you

80:28

create, by the way, don't get me wrong,

80:30

there are triads that go wrong, but

80:32

usually the cost of them are totally

80:35

dimminimous versus the upside that you

80:37

get. you know, the amount of time that a

80:40

great investment idea comes to us and we

80:43

realize that it came to us because of a

80:46

triad that we created a decade ago. I

80:49

introduced one of my best friends to a

80:51

venture capitalist once. It was a

80:52

venture capitalist to another person and

80:54

then two years later they asked me to be

80:56

on the board of a company they were in

80:58

and it's been one of the biggest

81:00

investments I've ever made on the

81:02

private side. Right? So, so that's the

81:05

the one advice that I would uh follow

81:08

>> when so another thing for a lot of these

81:12

people that I've met a lot of them go to

81:14

good you know great schools and I think

81:17

that you know I studied at UCL was a

81:20

good school and I'm now I'm at Colombia

81:22

and one of the things I noticed with

81:24

people intelligent people who go to good

81:26

schools is they can generally

81:29

fall into a position well get into a

81:31

position where they're in love with

81:33

their ideas and they're so convinced

81:34

they're right because they're surrounded

81:36

by other people who are extremely smart

81:38

and they're consistently told you are

81:40

winners. You are the future of society.

81:43

You are going to rule the world. You

81:44

deserve the world. And sometimes I find

81:48

it extremely funny and I find myself

81:50

being an ambitious person falling into

81:53

this trap going, "Oh yeah, wow. I've

81:55

I've realized something that's this is

81:58

this is crazy." And I guess I'd like to

82:01

hear it from you who's been around

82:03

winners, been done extremely well for

82:06

himself financially.

82:09

How do you avoid these pitfalls and

82:12

thought and how do you make sure that

82:15

you are you constantly remain that

82:19

intellectual humility that everyone

82:22

needs?

82:23

>> So at one end you have to expose your

82:26

ideas to a wider public.

82:29

you know, the uh taking an idea that you

82:33

have,

82:35

putting it into a YouTube talk and then

82:38

having people comment on it or somebody

82:41

will be like, "You're an idiot."

82:43

Somebody else will be like, "Hey, by the

82:45

way, have you considered X?" Uh, one of

82:48

the insights that's changed my life,

82:50

literally changed it, was I gave a talk

82:54

on idea ingredients. It's on YouTube,

82:58

Yale University, idea ingredients. And I

83:01

listed 20 idea ingredients,

83:04

right? And my business partner

83:06

looked at the ingredients. He's like,

83:08

"You're making a mistake." And I was

83:09

like, "What's the mistake?" He's like,

83:10

"Well,

83:12

these 20 matter, but at any one time,

83:14

there's really four of those ingredients

83:17

that are 80% of the value.

83:20

You should only focus on these four."

83:22

And when I said to him, "Look, do me a

83:25

favor. Pick the four you think. I'll

83:27

pick the four I think are the most

83:28

important. We pick the same four.

83:31

And since then that idea criteria has

83:34

been literally multiplying our

83:36

performance.

83:38

It would have never happened had I not

83:40

taken my ideas if I cherished it. Such a

83:43

competitive advantage to know. No. Put

83:46

it out there.

83:48

If your ideas, including investment

83:50

ideas, are really good, when people hear

83:54

it, usually they're going to hate it.

83:56

Okay, that's also good feedback. Why are

83:59

they hating it, right? There's a lot of

84:02

really powerful competitive advantage

84:03

that can be designed from that. So, put

84:05

yourself out there, you know, don't

84:07

think that you're right. If you think in

84:10

your mind when you're debating somebody,

84:12

I know I'm right, he's wrong. It's time

84:14

to understand the other person's

84:16

perspective. literally turn on your

84:18

empathy muscles like help me understand

84:20

the way you're thinking like what's

84:23

going on, you know, and dig in. You

84:25

know, the intellectual arrogance kills

84:28

smart people. It's intellectual

84:31

arrogance is even worse when it's

84:32

secret. A lot of passive aggressive guys

84:35

in the investment business have this

84:37

secret intellectual arrogance. I'm

84:38

right, but I'm not going to tell you I'm

84:40

right. You know, I'm just going to keep

84:42

that as a secret, dude. Mrs. Market is

84:44

going to slap you around like her little

84:46

[ __ ]

84:47

Okay. Like the the it's when you see it

84:49

happen, it's always violence. When smart

84:52

people lose money, it's not, you know,

84:54

they lose 10%. It's always a

84:56

catastrophe.

84:58

Catastrophe like like draw downs, bro.

85:01

Draw downs. I do have to run just now.

85:05

Thank you so much, Ethan, for organizing

85:07

it.

85:08

>> Thank you so much for coming. I really

85:09

appreciate it. Thanks so much.

85:12

>> Of course. Hope it was helpful.

Interactive Summary

Alex Pascet, a hedge fund manager, discusses the psychological and strategic reasons why high-IQ individuals often fail in the financial markets. He emphasizes that investment success depends more on emotional regulation, avoiding stupidity, and competing against less-skilled participants than on raw intelligence. Pascet shares insights from his gambling background, the importance of "analog training" over digital "snacking," the value of building diverse networks through "triads," and the necessity of a disciplined morning routine to maintain "life force." He also warns about how AI can amplify intellectual laziness and market narratives, leading to catastrophic losses for those who lack historical perspective and deep analytical habits.

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