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Nassim Taleb: Why You Should Start a Business |NassimNicholas Taleb LATEST Life Changing Lesson 2025

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Nassim Taleb: Why You Should Start a Business |NassimNicholas Taleb LATEST Life Changing Lesson 2025

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667 segments

0:00

So with this rule you can tell yourself

0:02

the following. Why is social media

0:04

successful?

0:06

Because it's a destructive technology

0:08

that removed the old unnatural

0:10

technology. The television

0:13

the television you're sitting down what

0:16

on oneway relationship with with you

0:19

know no discussion. People are

0:21

argumentative before that what did they

0:23

do? Use the existing business line you

0:25

have to introduce other thing. It's very

0:28

hard. People don't realize how hard it

0:30

is to switch business

0:32

because you have a business plan. Once

0:35

you have a business plan, you're married

0:36

to that business plan. You're ashamed of

0:38

changing course. People searching. I

0:41

mean, Columbus was going to India. He

0:44

discovered the Americas. They still were

0:46

in denial, right? The Phoenicians had

0:49

zero resources. They were the wealthiest

0:52

people in the Mediterranean for a

0:53

thousand years.

0:57

The whole idea is to be prepared to have

1:00

a system to not to have to worry about

1:02

black swans, not to have to predict the

1:05

environment, but be set up in a way to

1:08

benefit from the unpredictability of the

1:10

environment. And a lot of companies have

1:12

this attribute and a lot of systems have

1:13

this attribute. For 21 years, I was an

1:16

option trader and I picked up everything

1:18

I know from option trading.

1:21

And when you're an option trader, you

1:23

don't know a lot of things. Honestly,

1:25

your your knowledge is very limited. You

1:27

don't read the papers because it's

1:29

useless. You discover quickly it's

1:30

useless. You know, one thing

1:33

professionally, volatility.

1:36

And you know, one thing outside of that

1:38

is alcohol.

1:40

So when I stopped trading, you know, I

1:43

wanted to have a specialty. I could not

1:44

specialize in alcohol because I wasn't

1:46

good, you know, at it too much. Like my

1:48

friends could drink a lot more than I

1:49

did. So I focused on volatility, trying

1:52

to model volatility mathematically. So I

1:55

started trying to develop models of

1:57

volatility and it hit me that in the

2:01

process accidentally that everything all

2:04

right can be seen as how things respond

2:08

to volatility

2:10

everything. So the fragile for example

2:12

like this coffee cup made in China but

2:15

real you know the the highest quality

2:18

does not like volatility.

2:20

Everything fragile has this in common.

2:23

This commonality. In the process of

2:25

understanding fragility, we option

2:27

traders had a term for things that like

2:29

volatility. We called it, you know, long

2:32

gamma. And it was not in the literature.

2:35

It was not in the vocabulary. Because

2:37

when you ask people what's the opposite

2:39

of fragile,

2:41

they tell you solid, robust, someone

2:44

from New York or Brooklyn. All right?

2:47

They I mean they don't give you the

2:49

characterization I'm looking for because

2:52

the opposite of a package on which is

2:54

written you know please handle with

2:58

care. It should be written please

3:00

mishandle. Okay that's the exact

3:03

opposite. You see the opposite of

3:06

fragile is not solid. It's not robust.

3:09

It's not I hate that term resilient. It

3:12

is something that likes disorder and

3:14

volatility.

3:16

The Greeks had a concept of it. You know

3:19

about the fragile. You're sitting down

3:21

with a sword above your head waiting for

3:23

the sword to fall and you can do

3:25

absolutely nothing about it. Like the

3:26

coffee cup, one day it's going to break.

3:30

You can't do anything about it. Fragile

3:32

companies, fragile bridges one day will

3:35

collapse. You can't do anything about

3:36

it. Okay, that's a fragile. Okay, cannot

3:39

handle a certain amount of disorder,

3:41

unpredictability.

3:43

in the middle. The resilient

3:47

like Phoenix. You shoot it, it comes

3:50

back. Shoot it, doesn't degrade, doesn't

3:53

improve. Like people from New York

3:54

again. Okay.

3:56

And to the right you have hydra.

4:00

You cut one head. Guess what? Two grow

4:02

back. So really it feeds on attempt to

4:06

harm it. Okay. So there are a lot of

4:09

hydraike things in life. And let's look

4:13

at how they react to volatility to see

4:15

the hydra attribute. The fragile is like

4:18

a bank.

4:20

They make money. They make money. They

4:21

make money. They make money. And then

4:23

one day you got a phone call. All right?

4:26

They didn't make money. When they lose,

4:27

they lose a lot.

4:30

They lose more than they ever made

4:31

before. Hedge funds, a lot of them have

4:34

this attribute. Okay? Uh companies after

4:38

they become mature have this attribute.

4:40

They make steady income and then one day

4:42

you get a phone call, right? This is the

4:44

fragile

4:46

and uh

4:49

it doesn't like volatility. All the big

4:50

variations of downside the robust as I

4:53

said people from Brooklyn. Okay. No

4:55

upside but no downside. All right. And

4:58

then I have actually a character of Fat

5:00

Tony from Brooklyn and antifragile.

5:02

And then you'll see exactly what I mean

5:04

once you read about Fat Tony. Okay. And

5:07

then the anti-fragile most of the big

5:10

shocks are to the upside. Okay, think of

5:13

a venture capital P&L. Okay, long

5:17

volatility, long optionality, right? So

5:20

this is how it looks in time series

5:22

space.

5:25

They and let's look at it in a different

5:28

dimension.

5:31

It's a little complicated to explain,

5:34

but I've written about 200 technical

5:35

pages on it. I still try, you know, I'm

5:38

trying to figure out exactly. And

5:40

Duridge had a conversation and tell me

5:42

it takes a lifetime for that. Is that if

5:45

you like one of these, you like them

5:47

all. And if you hate one of these, you

5:49

hate them all. Okay? And this makes it

5:52

easy. If you like time, you like

5:54

volatility. If you don't like

5:56

volatility, you don't like time. Time

5:57

brings volatility.

5:59

But what they all have in common is that

6:01

they have more upside than downside when

6:03

they're antifragile. And the antifragile

6:05

likes them all up to a point of course.

6:09

And you have more downside than upside

6:11

when you're fragile.

6:14

And my body is fragile. It has one

6:15

attribute. It doesn't like earthquakes.

6:18

Okay? It doesn't like time. It doesn't

6:21

become more accidents. So this is

6:26

you know what I I call the disorder

6:27

brother. It's not a moving company. It's

6:29

a you know characterization.

6:32

And with this we can do quite a bit. And

6:34

I learned it from being an option

6:36

trader. If you don't like volatility,

6:38

the market goes down 1%.

6:41

Okay, you lose a million. The market

6:43

goes down 5%, you lose 20 million, not

6:45

five. You have an accelerated negative

6:48

P&L. And this is how we can measure,

6:51

you know, more downside than upside.

6:54

This is how we can measure this

6:55

asymmetry. This is how we can measure

6:57

really the degree of fragility in a

6:59

system. Now

7:02

you know as we say in America when life

7:04

gives you a lemon you make lemonade. So

7:07

you have two approaches in life.

7:10

If you read too much of the economist

7:11

the New York Time all these as junk all

7:13

right you have the idea that vfully is

7:16

bad. But in fact if you have the idea

7:18

hey we're going to have high winds what

7:20

do you do that they necessarily have to

7:22

go duck in your basement. Okay. With

7:25

spam, some movies, you know, uh candles,

7:31

maybe guns. No, you know, if you hear

7:34

you're going to have high winds, let's

7:35

try to make some money out of it. Okay.

7:38

So, hence you can have you can have

7:42

windmills, build windmills, try to make

7:44

money out of turmoil. My profession

7:46

incidentally for 21 years was trying to

7:48

benefit from turmoil. Okay, I mean it's

7:52

maybe not a very interesting profession

7:54

but but you can translate it into real

7:57

terms. Let's be set up in a way to

7:59

benefit from disorder bad events from

8:01

the bad from the you know attempts by

8:04

life to give you lemons.

8:07

So

8:10

but you say how look at your bone you

8:12

know we have all bones your bones

8:14

improve if you shock them. And actually,

8:16

not only that, but if you don't stress

8:19

your bones, guess what happened? You

8:21

lose in bone density. Actually, people

8:23

who go to gyms don't stress their bones

8:26

and they lose in bone density. The

8:28

oldfashioned way of carrying water jugs

8:30

on your head is still the best if you

8:32

want to have a good bone structure and

8:35

actually even regulates the hormonal

8:38

structure, even fertility.

8:40

So it's not just you know uh business

8:44

life it's your bone it's your body you

8:46

have there's a gym here I think okay now

8:49

let's look at the mechanism of

8:50

overcompensation

8:52

a lot of things not only benefit from

8:55

bad events

8:57

but need bad events because they

8:59

overcompensate by shooting higher just

9:01

like your bone gets stronger up to a

9:03

point of course if I put 500 lb on my

9:05

shoulder you know it' be okay my bones

9:09

would get stronger £5,000, you need

9:11

another speaker. All right. Okay.

9:14

Because All right. So, you know what

9:15

happens? It's the same thing with, you

9:17

know, and now I looked at history and

9:19

discovered one thing. I know a little

9:21

bit of the eastern Mediterranean

9:22

seabboard. And then you look at the uh

9:26

Phoenicians.

9:28

The Phoenicians had zero resources. They

9:31

were the wealthiest people in the

9:33

Mediterranean for a thousand years.

9:36

For a thousand years. Okay. They had

9:39

absolutely zero, nothing, nothing

9:41

nothing to speak of. It so happened that

9:45

during after the Bronze Age,

9:48

the island of Cyprus nearby

9:51

had copper. They had no copper. They had

9:53

no resources. So someone with his

9:56

cousins went to get some copper.

9:59

Guess what? When you go get copper from

10:01

Cyprus,

10:02

you need to build boats. No, you learn

10:05

to navigate. You learn to go to Cyprus.

10:09

So they got a little more copper and in

10:12

no time they became a maritime

10:15

network

10:17

of buying copper from Cyprus, buying

10:19

other things from the Criathos, buying

10:21

other things from other people and then

10:23

of course they became the wealthiest

10:24

nation on zero resources. Nothing. They

10:28

had absolutely nothing. The the

10:31

Venetians, same story. The modern

10:34

equivalent is Singapore. These guys have

10:37

nothing.

10:39

Look in reverse. Saudi Arabia exact

10:42

opposite. They have everything. And

10:44

guess what?

10:46

They're going nowhere. With all of that,

10:48

they're going nowhere. So here you see

10:51

that overcompensation is a mechanism by

10:53

which economies also work.

10:57

You see stressors are good. And here's

10:59

your industry post and pre.com of 2000.

11:06

Aha.

11:08

Before

11:09

2000,

11:11

everything was bad compared to what it

11:14

is today. Everything improved today from

11:18

that event. So really we humans are a

11:22

have a mechanism by which we

11:23

overcompensate

11:25

and we can only act by overcompensating.

11:28

Actually your bones are not going to get

11:30

strong by on their own.

11:34

So with this we realize that companies

11:40

not only need like volatility but they

11:43

need it they need certain dose not too

11:45

much not too little

11:49

which brings me to the concept of

11:50

optionality

11:52

again I started with telling you my

11:54

secret I was an option trader when I go

11:56

to literary festivals I don't tell them

11:58

because they're associated with finance

11:59

for them finance is a bad thing people

12:01

use you know to rip off people no It's

12:04

interesting for me mathematically

12:07

and also as a way of viewing things in

12:09

life.

12:10

The attribute of an option

12:13

more upside than downside. You pay

12:16

little, you get a lot.

12:18

And actually sometimes you pay nothing.

12:21

Okay? And an option likes volatility.

12:25

Why? Because I'd rather have a volatile

12:28

environment. We have a lot more upside

12:30

and a lot more downside. I'm not exposed

12:32

to the downside. I get more upside you

12:34

see and this is what we say called

12:37

convex.

12:38

So under uncertainty you have less to

12:41

lose. So you benefit from the positive

12:43

side of uncertainty and not the negative

12:45

side. The only problem is you got to pay

12:47

for it. Sometimes you don't have to pay

12:49

for it. So I look at the world with

12:52

positive and negative optionality.

12:54

Positiveity you have more upside than

12:56

downside. The other one you have more

12:57

downside than upside. You have a curve

13:00

like this. The best way to view it is

13:02

this way. Okay? You see? So, accelerated

13:07

profits,

13:10

let's look at it this way. In this

13:11

dimension,

13:13

this translates to this. If an event

13:16

happens,

13:17

GDP is down 1%. I lose a million. Okay?

13:21

GDP is up 1%. I make 3 million.

13:26

I am antifragile. A simple rule.

13:29

It's a reverse. I am fragile. Okay.

13:33

Simple. Okay.

13:36

So that symmetry explained your if the

13:38

market goes down 10% I lose 10 million.

13:42

The market is up 10% I make 100 million.

13:46

I am antifragile.

13:48

Conversely if the market goes down 10% I

13:50

lose 10 million. The market goes down

13:52

another 10% I lose 1 million. I'm also

13:54

antifragile.

13:56

You see

13:58

nonlinearity

14:00

shared by everything. The fragile has

14:02

this nonlinearity. My body if I fall 10

14:06

m I'm harmed more than 10 times. If I

14:09

fell 1 meter

14:12

I am fragile. Okay. And you can measure

14:14

fragility that way. Now optionality

14:17

means that you have the choice. You have

14:20

the option. Okay. No obligation. which

14:23

mean that you see different things in

14:25

the environment you can flip and sure

14:27

enough you've heard of Nokia

14:30

but had I asked you that question 15

14:32

years ago you would have said oh it's

14:34

some small company that makes what

14:37

boots for you know because they have a

14:39

very bad spring in Finland I don't know

14:40

if you've been to Finland in the spring

14:42

don't okay it's it's all mud right so

14:46

that was our business and then they

14:48

switched to making you know what you

14:51

know is commonly known as the cell

14:54

phones, the kind of thing that

14:55

grandmothers have and this, you know,

14:57

my, you know, my mother uses because she

14:58

doesn't want an iPhone. All right, but

15:01

they didn't catch on the second

15:03

optionality, but good enough. They made

15:05

enough money. Another company, Tiffany,

15:07

I don't know if you know Tiffany in

15:09

America, it's a big company that makes

15:13

luxury that sells luxury stuff. Mostly

15:16

if someone if you're or your some of

15:19

your friends get or your daughter

15:21

getting married, you have a list there.

15:24

But it all started with the following.

15:25

The fellow was selling stationary

15:28

and people were showing up and saying,

15:31

"Hey, you know, my daughter is getting

15:32

married. I want this doctor and Mrs.

15:35

Smith, whatever." Okay. So, what you

15:37

make $20? Thought about it. Say, "Does

15:39

your daughter like diamonds?" Say,

15:41

"Yeah." Okay. No, we have some. And it

15:44

all started that way. Use the existing

15:46

business line you have to introduce

15:49

other thing. It's very hard. People

15:51

don't realize how hard it is to switch

15:53

business

15:54

because you have a business plan. Once

15:57

you have a business plan, you're married

15:59

to that business plan. You're ashamed of

16:01

changing course. People searching. I

16:03

mean Columbus was going to India. He

16:06

discovered the Americas. They still were

16:08

in denial, right? That's not what

16:11

they're looking for. People are ashamed.

16:12

The boss say, "Hey, that's not what

16:13

we're in for." You're going to see the

16:15

story.

16:16

Boeing origin lumber company. They don't

16:21

say it, but if you investigate, you

16:23

realize the family was a lumber making

16:26

company getting a lot of orders for

16:27

airplanes. And the son liked to fly. And

16:30

sure enough, you know, became, you know,

16:33

said there's more money in these flying

16:35

things than lumber. And sure enough,

16:37

they abandoned lumber because there's no

16:39

more lumber in Boeing. Okay. So there

16:42

are businesses that are error loving.

16:46

A business that's error loving is a

16:47

business that has optionality

16:49

particularly with its own mistakes.

16:51

I don't know if you've heard of that

16:52

business. I'm sure you never heard of it

16:54

of uh something called Viagra. No. Okay.

16:58

So Viagra was a u it was not like the

17:02

intention by in a business plan to

17:04

improve the lives of 72y old men. That

17:08

was not the idea.

17:10

It was a what? What was Viagra?

17:14

Blood pressure medicine. But they made a

17:16

mistake. They mispredicted.

17:19

It had a side effect. Out of the 100,000

17:22

drugs we have in the market today, all

17:24

right, there are fewer than 200 that are

17:28

there for what they were made for.

17:32

The rest are there for the side effects.

17:34

Maskin you use today as a blood thinner,

17:36

it's a side effect. of his previous use

17:39

as a fever reducer

17:41

sorry of a painkiller

17:43

which was a side effect of a fever

17:45

reducer. All right. So the philosophical

17:48

stone is there are some businesses that

17:51

gain from randomness. We know exactly

17:52

what shape they have. It's not

17:54

randomness. It's not luck. It's they

17:57

have optionality where you can benefit

17:59

from luck or not. You see? So what I

18:01

call the philosopher stones.

18:04

So we have this illusion that things

18:06

grow with education top down techn

18:10

education is not we have this illusion

18:12

that mathematics leads to science leads

18:15

to technology leads to business. It's

18:18

rather the opposite.

18:20

You see tinkering

18:23

trial and error you make small error you

18:25

have upside is how things work. So

18:28

that's tinkering. So most of what we

18:30

know in a western world comes from

18:33

tinkering. Even though we may have a

18:36

theory for it,

18:38

the steam engine was invented by the

18:40

Greeks went nowhere.

18:43

It was rediscovered by ignorant people.

18:45

Ignorant I mean in the academic sense

18:47

who are tinkering

18:49

you see and actually you can figure out

18:53

here what I call Roger be antifragile

18:55

than smart that it's much better

18:58

to tinker

19:00

and not know anything. All you know if

19:03

this is better A is better than B to

19:05

keep it's called ratcheting up then have

19:09

a huge IQ

19:12

anytime you outperform the IQ with

19:15

tinkering you need a thousand IQ point

19:18

to match someone who's an aggressive

19:20

thinker so

19:22

now principle never miss an opportunity

19:25

never never never never they don't come

19:28

especially if you have optionality if

19:30

especially it cost you very little to

19:31

take

19:32

to experiment with it

19:35

comes the idea of business plan.

19:37

It's a prison. So a business plan should

19:41

not be a prison

19:43

or have a business plan or if you want

19:46

but you know try

19:48

to have exit things from it. The other

19:52

thing is optionality depends much more

19:54

on the contract that you have than

19:55

industry like real estate for example.

19:59

You know investors have a lot more

20:00

optionality

20:02

and namely Donald Trump. The upside you

20:04

keep the losses you give chemical bank.

20:07

All right actually bankrupted Manny

20:08

Hannie manufacturers handover

20:11

at the banks they have no upside. They

20:13

take all the risk

20:15

you know uh for a little 400 basis

20:18

point.

20:20

So and of course entrepreneurial success

20:23

is not the result of funding. Usually

20:25

funding is top down. Funding comes later

20:28

when people are already successful. Nor

20:31

is it when you look at the name of these

20:32

companies the result of education,

20:35

formal education. But the education you

20:38

get from talking to one another, you

20:40

know, while eating the

20:43

the kish that they had last night and

20:46

happy hour, that form of education works

20:48

a lot better than sitting down in a

20:50

classroom with a professor. The best

20:53

technology is the technology that

20:54

doesn't look like technology where they

20:57

hide something Steve Jobs understood or

21:00

Google where you don't have the clutter

21:02

or the cognitive load or the distraction

21:05

of having a lot of side avenues where

21:07

they do all the thing to simplify which

21:09

cost a lot. So that what I think is

21:11

their secret okay on that aspect in a

21:15

few minutes good technology is something

21:17

that destroys bad previous technology.

21:21

All right. Not something that brings

21:22

something new, but something that makes

21:24

the old technology disappear as a

21:27

technology in the background. So there

21:30

so sort of make you overcompensate

21:32

because and actually if I you know that

21:35

if I lowered my voice to the point of

21:38

being hardly audible,

21:42

you would actually get more of my

21:45

lecture

21:46

by overcompensating on your side. So

21:48

there was a mechanism of

21:50

overcompensation

21:51

tinkering all the reasons why I was

21:54

invited but this one he missed in his

21:56

explanation which is a central one. So

21:59

let me explain now close on that Lindy

22:01

effect

22:06

about technology. What is this from?

22:10

How old is this kitchen?

22:17

2,000 year old. Okay. So, let me give

22:20

you the rule.

22:23

I was asked

22:27

I was asked by the economist

22:31

years ago after the black swan to

22:33

predict the future.

22:35

So they wrote to me and said, "Can you

22:37

give me a list,

22:39

you know, of No, no, actually they wrote

22:42

to me saying, we have President Obama,

22:45

Prime Minister Cameron, all these people

22:49

writing about the future. Can you give

22:51

me a list of what's wrong with their

22:52

forecast because we can't really, you

22:54

say you can't forecast the future?" Sure

22:56

enough, I didn't wait to get all their

22:58

stuff. Within 20 minutes, I wrote him a

23:00

letter very quickly saying, "This is

23:03

what's going to happen." They said what

23:04

are you the author of black swan or some

23:06

impostor or were you lying before you're

23:08

you're lying now or vice versa said no

23:10

no it's very easy to predict said how

23:12

said okay you take the present as

23:14

baseline

23:16

and 20 years from now you remove

23:18

anything that came last 20 years

23:23

completely counterintuitive yeah it's

23:25

called the Lindy effect after a

23:26

restaurant in Broadway and the way

23:30

restaurant near Broadway very bad

23:32

cheesecake by the way don't go But it's

23:34

called the Lindy law where actors would

23:36

would would discover the rule. You take

23:39

a Broadway show if it's under one year

23:42

old it won't make a year a two year

23:46

two years to go. So life expectancy of

23:49

technology increases with time. Okay.

23:52

But the edge is of course technologies

23:54

that are thousand years old 2,000 years

23:57

old. So it's very very counterintuitive

23:59

law that what is new doesn't have much

24:03

chance again because 99.9% of

24:05

technologies fail replaced by newer

24:07

technologies but the old is not replaced

24:09

by newer technologies it means it's

24:11

resilient to that kind of thing so you

24:13

got to learn from the old so my letter

24:16

said okay I'm instead of predicting the

24:19

future by taking the present as baseline

24:21

and adding all these kind of fancy stuff

24:23

to the present I take the present as

24:26

baseline

24:28

Everything that's 20 years old

24:31

or younger, remove it from the future.

24:36

And effectively the technique works. It

24:38

is very predictive. And again, people

24:41

told me, well, hey, you know what? At

24:43

the time people still use desktops.

24:47

How many people use desktop now? The

24:50

only reason you have a desktop is to

24:52

train employees to make sure they're in

24:54

the office because the laptop they're

24:55

just the same. Even the laptop being

24:58

replaced by tablets. And this rule is

25:00

invariant to how you define technology.

25:02

Tablet. Uhhuh.

25:05

How old is a tablet? Depends how you

25:07

look at it.

25:09

It can be 4,000 years old as a tablet,

25:13

but the modern tablet is few years old.

25:16

Which mean that the tablet as a concept

25:18

will be there 4,000 years from now,

25:20

right? Or at least you know 20 years

25:23

from now and the tablet as modern

25:26

technologies is going to disappear

25:28

replaced by some other technology.

25:30

The definition is invariant to the way

25:32

you define the technology. If you say

25:34

car, if it's box on wheel, 5,000 years,

25:38

if it's red convertible, 52 years or

25:42

six, whatever. You see the idea? So with

25:44

this rule you can tell yourself the

25:46

following. Why is social media

25:48

successful?

25:50

Because it's a destructive technology

25:52

that removed the old unnatural

25:55

technology. The television

25:57

the television you're sitting down what

26:01

on oneway relationship with with you

26:03

know no discussion. People are

26:05

argumentative before that. What did they

26:07

do in Vienna? They went to cafes in the

26:09

evening. They aggregate you know they go

26:11

to the agora. So social media allows

26:14

people to communicate in a two-way

26:17

relationship. This is why it's

26:19

successful, you see, because it's

26:20

destroying older technology, you see. So

26:24

this is with this I mean we can forecast

26:26

technologies based on a rule that if you

26:30

want to be successful in technology,

26:33

shoot for the old,

26:35

okay, and make it look nontechnological.

26:40

And that's basically one of the the

26:42

reasons, okay? So let me close and wrap

26:44

up. Where's the sign that says stop? I

26:46

like the stop sign. Always stop on a

26:48

stop sign. So let me wrap up in this

26:52

thing and in the 10 seconds that I have

26:54

left. The so the whole idea here is that

26:58

in a world with a lot of uncertainty,

27:00

there exists a very rational and

27:02

structured way to accept ignorance and

27:06

go about it by loving if you're set up

27:08

in the right way. The more uncertainty

27:11

in the environment, the richer you're

27:12

going to get and the more successful,

27:14

the happiest you're going to get. But it

27:16

requires a rigorous approach to

27:19

tinkering. Never miss an option and make

27:21

sure you always have in your business

27:23

positive optionality.

27:25

If you have that,

27:27

you'll succeed for a long time. If you

27:29

don't have it, sorry to say, but you're

27:31

fragile and you won't make it. Thank you

27:33

for listening to me.

Interactive Summary

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The video discusses the concept of antifragility, which is the ability of a system to benefit from volatility and disorder, as opposed to being fragile (harmed by them) or robust (unaffected by them). The speaker, drawing from their experience as an option trader, introduces a framework to understand how things react to volatility, categorizing them as fragile, robust, or antifragile. Antifragile systems, like options, have more upside than downside and thrive in uncertain environments. The video explores how this concept applies to various domains, including business, biology, and technology, highlighting the importance of "optionality" and "tinkering" as key elements for antifragility. It suggests that rather than trying to predict the future, one should aim to build systems that benefit from unpredictability. The Lindy effect, which states that the life expectancy of non-perishable things increases with time, is also discussed as a way to forecast technology's longevity.

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