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How to Find Meaning in a Distracted World (w/ Arthur Brooks) | Cal Newport

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How to Find Meaning in a Distracted World (w/ Arthur Brooks) | Cal Newport

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2321 segments

0:00

So, here's a conundrum about technology

0:03

and happiness in our current moment. Did

0:07

smartphones make us miserable or were we

0:10

already miserable and then turned to

0:12

smartphones to cope and this ended up

0:14

making things worse? Now, this answer

0:17

matters. If the second option is right,

0:20

then creating a deep life in a

0:21

distracted world is not just about

0:23

reforming our use of technology. It

0:25

involves fixing a more fundamental

0:28

problem. And this is what I want to talk

0:30

about today. To help me, I'll be joined

0:34

by Arthur Brooks, who is a number one

0:36

New York Times best-selling author,

0:38

columnist for the Atlantic, and

0:40

professor who teaches leadership and

0:42

happiness at Harvard. Brooks has a new

0:45

book out that's called The Meaning of

0:47

Your Life: Finding Purpose in an Age of

0:51

Emptiness. In it, he argues that we

0:54

entered into this age of emptiness

0:56

starting in the 1990s and then in the

0:58

last decade, new technologies like

1:01

smartphones and social media served to

1:03

make things worse. In our discussion, we

1:06

get into the details of the shift. And

1:08

just as importantly, we explore Brooks's

1:10

advice for rediscovering the purpose

1:13

that we've lost. So, if you're at all

1:15

interested in seeking depth in our

1:16

current moment, you need to listen to

1:20

this episode. As always, I'm Cal Newport

1:23

and this is Deep Questions, the show for

1:27

people seeking depth in a distracted

1:29

world. And we'll get started right after

1:32

the music.

1:38

All right, Arthur Brooks, it's great to

1:41

have you back on the show to talk about

1:43

a book I'm really excited about because

1:45

I think there's a lot of ideas in here,

1:48

especially when it comes to the

1:49

complicated birectional relationship

1:52

between things like meaning

1:54

>> and technology

1:56

>> that we are in a really good dialogue

1:58

and we're kind of coming from the same

2:00

place. So, this is a conversation I've

2:02

been looking forward to, but I want to

2:04

start it where you started the book,

2:05

which is sort of setting up the problem

2:08

that we're going to address and how you

2:09

encountered it. So, I want to start it

2:11

with you returning to academia after a

2:16

10ear hiatus running a think tank here

2:18

in Washington DC. You returned to

2:19

academia. I think it was Harvard was

2:20

your position after that,

2:21

>> right?

2:22

>> Tell me about what it was. This is

2:24

interesting to me. What it was that you

2:26

noticed seemed different then than it

2:27

had been 10 years ago.

2:29

>> Yeah. So you and I are longtime

2:30

academics. I'm a third generation

2:32

academic. And and the truth is I love

2:35

academia. I always did love academia

2:37

because it was a happier place than the

2:39

rest of the of society. Generally

2:41

speaking, people when they're in

2:42

college, they made friends, they fell in

2:44

love, they were encountering interesting

2:46

and new ideas. They weren't in the millu

2:49

of you know ordinary life. And that was

2:51

a good thing as a matter of fact. And I

2:52

left academia in 2008 to become the

2:54

president of this think tank in DC. And

2:56

that was completely consuming position.

2:58

And so I wasn't paying attention to what

2:59

was going on in my old happy academic

3:01

home. Well, I came back 11 years later

3:04

and it's like a plague had gone through

3:06

my village when I got back because it

3:08

wasn't happier than the rest of society.

3:10

On the contrary, people weren't falling

3:12

in love more. They weren't in a better

3:14

mood. They weren't paying attention to

3:16

new and scary ideas with an open heart

3:19

and mind. On the contrary, it's exactly

3:21

the opposite of all that. There were

3:23

higher rates of depression than in the

3:25

rest of society. As a matter of fact,

3:26

depression rates had increased by about

3:28

a factor of three. Anxiety, generalized

3:31

anxiety, which is, you know, diagnosed

3:33

as such, had gone up, had doubled.

3:35

People are lonier on college campuses

3:38

than they were outside of colleges. And

3:40

it turns out that that was just sort of

3:41

the tip of the iceberg because as a

3:43

behavioral scientist, of course, this

3:44

really, really gets my attention. And I

3:46

started looking at what's going on. And

3:48

this is raging through society for

3:51

people under 30. something happened

3:54

after 2008 that that massively spiked

3:57

the the the amount of misery. There's a

3:59

psychoggenic epidemic, which is just

4:01

what we behavioral scientists, we get

4:03

tenure by making up fancy ways of saying

4:05

simple things. That's misery that

4:08

doesn't have a biological origin. And

4:10

so, boy oh boy, was I interested in

4:11

figuring out what this is. But more

4:13

importantly, I needed to figure out what

4:14

we could do. What's the problem? What

4:17

and you know, what do we where do we go

4:19

to find a solution? and then how do we

4:21

need to live differently to solve it?

4:22

Now, you're the OG on this, man, because

4:24

your stuff has been about this for a

4:26

long time. I got there a little bit

4:28

later, but this book really elucidated

4:32

to me the biggest problem in our society

4:34

today.

4:34

>> So, I like the idea that you went

4:36

through your thought process for

4:38

eliminating options. And the the first

4:40

option you pointed to that you

4:42

ultimately eliminated as the primary

4:44

explanation for what was going on is

4:46

something we hear a lot today. uh which

4:49

never really rang true for me. So I was

4:50

glad to hear you also say this doesn't

4:53

really explain what's going on. But it's

4:54

this idea that things somehow are harder

4:58

for the young generation than they've

5:00

ever been before. That somehow the the

5:03

boomers have taken everything and this

5:06

is like the there's a sort of new

5:08

hardship. There's no jobs. They'll never

5:10

buy houses. Like I hear this all the

5:12

time. It's become uh a standard mantra

5:15

and this was an explanation we hear a

5:17

lot for why people uh were upset, why

5:19

they're depressed, why they're anxious.

5:21

>> I have my reasons why I didn't buy that.

5:23

But why didn't you buy that?

5:25

>> Because the data just don't support it.

5:27

The idea that life is uniquely hard. I

5:28

mean, there's two birectional

5:30

explanations for why why why everything

5:33

is so tough. People my age and so I'm 40

5:36

years older than undergraduates. You're

5:38

20 years older than undergraduates. And

5:41

and people who are in their early 20s

5:42

today, people my age will say it's

5:44

because they're weak. It's because

5:46

they're weak people. We've made them

5:48

weak or society's made them weak or

5:50

wealth has made them weak. And they say

5:52

no, it's because you ruined the world.

5:53

And so it's like this intergenerational

5:56

blame game that's actually happening.

5:58

And the truth of the matter is they're

5:59

not weaker than than generations past

6:02

and life isn't harder than generations

6:04

past. Both of those don't actually hold

6:06

water when you look factually. And at

6:07

the book I look factually at those

6:09

explanations. I want to rule those

6:10

particular things out. When I talk to

6:12

young people when they say, "Well,

6:13

expense houses are more expensive than

6:15

they used to be and income inequality is

6:17

worse than it used to be and the

6:18

environment is worse than they used to

6:20

be." And one by one by one, I'll talk

6:23

about how the world is actually not

6:25

perfect and in some ways gotten harder,

6:27

but in most ways it's actually gotten

6:29

better. And then I'll explain to people

6:30

my age how people actually aren't weaker

6:33

now and they aren't more feeble than

6:35

they've been in the past because I have

6:37

data on what people my age looked like

6:39

at that age and it wasn't that great

6:41

either.

6:43

>> We hear it every generation I'm sure. I

6:44

mean I my dad's a baby boomer. My mom's

6:46

a baby boomer and you know I often think

6:48

about their stories and I'm like well

6:50

that sounds harder than my life. I mean,

6:53

the defining feature of my dad's college

6:55

and grad student years was like, "Oh,

6:57

sorry. I have to put this on hold

6:59

>> to go into basic training for the army

7:02

down in like Louisiana and Texas and do

7:06

that for a few years and then come back

7:08

or to hear my mom talk about uh look, I

7:11

my parents her parents were clear like

7:13

you're going off to college, you're not

7:15

coming home." And there wasn't that many

7:16

job opportunities necessarily for, you

7:19

know, a woman coming out of a small

7:20

college. She had to become a flight

7:21

attendant, teach herself how to computer

7:23

program. They lived in a small East St.

7:25

Louis apartment. Like I was like, that

7:26

sounds hard.

7:28

>> Yeah.

7:28

>> It didn't sound like this was, you know,

7:30

this was uniquely easy. But I'm sure

7:32

their parents said the same thing, which

7:34

was

7:34

>> I had to go through the Great

7:36

Depression.

7:36

>> Yours. My parents were called the silent

7:38

generation. And they were named that by

7:40

the greatest generation, which was my

7:43

grandparents' generation. And the the

7:46

greatest generation was named that by

7:48

the greatest generation, by the way. And

7:50

they called the silent generation that

7:51

because they were a bunch of slackers.

7:52

In other words, every generation

7:54

actually does this. So that's not the

7:56

reason that we have this unbelievable

7:59

explosion of mood disorders and misery

8:02

that's happened since 2008. It's not

8:05

because there's something uniquely wrong

8:06

or something new about society. That's

8:09

not it.

8:09

>> Yeah. Okay. So what what do you think is

8:12

going on?

8:13

>> So when I when I when I'm doing a data

8:15

analysis as a a behavioral social

8:16

scientist, I look at a bunch of survey

8:18

data. Okay. I start to find patterns.

8:20

But then I do what old school scholars

8:23

used to do like you know Adam Smith when

8:25

he was writing the wealth of nations he

8:27

went out and walked around factories and

8:29

talked to workers. I mean that is like

8:31

the and just and ask them because what

8:33

do you do as a social scientist? You

8:35

listen to the words that people say and

8:36

you say and you listen to the words that

8:38

keep popping up again and again and

8:39

again until the penny drops. And in

8:42

doing that I actually found that people

8:44

young people in particular they said

8:46

yeah you know my my life is good. It's

8:48

good, but it feels fake. It feels like a

8:51

simulation. It feels meaningless. They

8:55

kept saying this word meaning over and

8:57

over again. I don't know what I'm meant

8:59

to do. I'm just doing everything I'm

9:00

doing, but I don't know what I'm meant

9:02

to do. And I don't know what the meaning

9:03

of what I'm doing. And and and most

9:05

importantly, and this is actually in the

9:07

data very clearly, the number one

9:09

predictor of mood disorders like just

9:11

depression and anxiety is the answer to

9:14

the question, does your life feel

9:15

meaningless? And people saying yes. a

9:17

yes answer to the meaninglessness of

9:20

life question. That's what best predicts

9:22

the misery that we see today. It's a

9:24

meaning problem, Cal.

9:25

>> Interesting. Well, so let me read you a

9:27

quote uh from the book that I think gets

9:29

at this well. And I uh this is quoting I

9:33

believe a young person you talked to,

9:35

>> right?

9:35

>> Life felt unreal, full of false rewards,

9:38

empty accomplishments, therapeutic talk,

9:41

and fake experiences, all curated to

9:43

pass the time uh as painlessly as

9:46

possible. So that's that's explaining

9:48

what life without meaning. Those are the

9:50

things that define.

9:52

>> That's right. I mean, we're basically

9:53

just like we're not happy. We're not

9:56

satisfied. It doesn't feel real. And so

9:58

therefore, we've got more therapy to to

10:00

kind of deal with this creeping sense of

10:03

emptiness. And I'm just kind of waiting

10:05

around. A lot of a lot of pe young

10:06

people say that they're they're kind of

10:08

just scrolling their phones like they're

10:10

in an airport lounge waiting for a

10:12

flight to take off. And you don't even

10:13

know even the status of the flight. you

10:16

don't even know if it's going to get

10:17

cancelled and you just sit there kind of

10:18

I don't want to do this but you know I'm

10:20

waiting for something they're they all

10:21

say they're they're like they're waiting

10:23

for something and they don't even know

10:24

what it is that's this sense of

10:26

emptiness. Well, I I so I want to get

10:28

now I want to drill in on this

10:29

technology connection now because now

10:30

we're getting obviously into a neck of

10:32

the woods that I'm interested

10:33

>> for a real reason, right?

10:35

>> Let's get where you know I want to be.

10:37

This is okay. So, let me

10:39

>> I think this aligns with the way you're

10:41

thinking about it. If I'll just run by

10:42

like one of the things that emerged from

10:44

my thinking and writing post post

10:46

pandemic that confused people, but I

10:48

don't think it should be confusing is

10:49

when I started talking about this

10:50

concept of the deep life, which is a

10:53

life of meaning and intention. So in

10:54

line with like what you're talking about

10:56

here and people would say why are you

10:58

talking about that you're the technology

11:00

distractions you know deep work digital

11:02

minimalism guy why are you talking about

11:04

trying to build a life of meaning and

11:05

what have you and I said well let me

11:06

tell you the lesson I learned from my

11:08

book deep work is uh just talking to

11:11

people about um your distractions at

11:14

work are bad didn't get too far but if

11:16

you have this bigger better offer deep

11:18

work is great this is more meaningful

11:21

then it's much easier to move away from

11:23

all the distractions because you have a

11:24

bigger better offer. And when it came to

11:26

people being on their phones all the

11:27

time and social media all the time and

11:29

being caught up into these sort of webs

11:30

of distractions, I realized you can't

11:32

just talk about that directly. You have

11:34

to talk about what's the bigger better

11:36

offer. That that's somewhere you fall.

11:39

If you don't have anywhere else to go,

11:41

you're you're uh you're lacking meaning,

11:44

you're anxious, um you want to numb, you

11:46

want to escape, or you're just bored,

11:48

>> then you'll fall back to the phone. So

11:50

just telling someone don't be on TikTok

11:52

so much. Yeah, it doesn't solve the

11:54

problem because they're going there for

11:57

a reason. So, I ended up having to talk

11:58

about this is why like I love having you

12:00

on the show is because actually what

12:02

you're talking about the meaningful

12:04

life, right, is something that you have

12:07

to figure out if you want to figure out

12:09

how do I not stare at like a video game

12:11

or a phone all day. Are we are we

12:12

aligned on this?

12:13

>> Yeah. This is not a book about I mean I

12:16

it wouldn't be original if it was about

12:18

the fact that that phones are addictive

12:20

and that technology is a problem. I

12:22

there's plenty in this book about that

12:24

fact. What this is a book about is what

12:26

you deeply want and that you can't get

12:28

and then you need to go and get. This is

12:30

about the bigger better offer. That's

12:32

really what it comes down to. Exactly

12:33

what we're talking about. Which by the

12:35

way is the same thing in any addictive

12:37

process. You know, if you come to me and

12:39

say, "Hey, Arthur, man, I just got I'm

12:41

I'm just drinking all the time. You

12:43

know, I'm drinking my breakfast. I'm

12:45

drinking my lunch." And I would say,

12:46

"Cal, I got I got I got some incredibly

12:49

new and and you know, bold piece of

12:52

advice for you. Stop drinking." You

12:54

know, now that's not what I'm going to

12:56

do. That's obviously true. But I'm going

12:57

to find out why you're drinking so much.

12:59

What it is that you're actually seeking.

13:02

Is it a feeling? Is it relief from your

13:03

anxiety? Is it because you're really

13:05

bored? Is because you're having trouble

13:06

at home? Let's talk about what the

13:08

actual problem is. Generally speaking,

13:11

people who just start drinking is

13:12

because they're trying to cut the

13:13

connection between their their amygdala

13:15

and their prefrontal cortex because

13:17

they're suffering from a lot of anxiety

13:18

and it's very effective for doing so or

13:20

they're bored and lonely or all of those

13:23

things. And so I want to know what those

13:25

things are and I want to fill those

13:26

holes in their life otherwise they're

13:29

not going to stay off the sauce. And the

13:31

same thing is true for this. So the

13:33

beginning of this book is okay, what is

13:35

the meaning of life and then why is it

13:38

such a problem? because we're all

13:40

getting so addicted to this stuff. And

13:41

then what is it that you really want and

13:43

how do you have to live differently? And

13:45

that's the biggest part of the book.

13:47

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Don't forget to use our link so they

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know we sent you. All right, let's get

16:29

back to my conversation with Arthur

16:31

Brooks. So why did sticking a little bit

16:34

longer with the motivation what happened

16:36

with you know in 2000 what this window

16:39

2008 to 2019

16:41

>> why did this generation begin to have

16:44

more of these meeting problems which we

16:45

will then perfectly solve

16:48

>> the next but what what's going on here

16:50

>> so it predates the iPhone and I know

16:53

what people are thinking right now 2007

16:55

the first iPhone was delivered 2008 it

16:57

became ubiquitous by 2009 it was in

16:59

everybody's pocket by 2010 everybody had

17:01

apps on the iPhones and and we proceed a

17:04

pace. That's actually not the exact

17:06

explanation. The iPhone was produced as

17:10

part of a broader culture of hustle and

17:13

and technology. It was part of a the

17:15

broader culture that said all of these

17:17

deep complex needs in your life for love

17:20

and beauty and suffering and and calling

17:23

and transcendence, we can solve it with

17:26

these complicated things. we can

17:28

actually bring genius to bear in

17:30

engineering that can solve these

17:33

problems which has been the the mantra

17:35

of the age man and there's nothing

17:37

really new about that but that really

17:38

really started exploding in the new

17:40

century before the iPhone the iPhone was

17:43

produced to solve problems that it can't

17:46

solve all these tech things do I mean

17:48

think about it when when when Facebook

17:50

was invented at my university I mean the

17:52

the promise was it was going to wipe out

17:54

loneliness loneliness is a complex human

17:57

problem. The you know that Facebook is a

17:59

complicated engineered algorithm and

18:02

complicated algorithms can't solve

18:04

complex human needs. They can't. The

18:05

result is if you try to do that, you're

18:08

going to get lonier, not less lonely. If

18:10

you're trying to wipe out your

18:11

loneliness with social media, you're

18:13

going to wind up lonelier. And I got the

18:14

data to show it. I've got the studies

18:16

that actually show that. And that's the

18:18

same thing with everything else. So the

18:19

problem isn't the iPhone. The problem is

18:21

how we use it. Because this is the way

18:23

the culture has been pushing us in the

18:25

first place. this was like Silicon

18:27

Valley. What would what was the change

18:29

of the culture? It was the shift of the

18:30

economy towards a more of like a tech IP

18:34

uh post.com bus. You have the new.com

18:37

boom. So there's different elements I

18:39

guess that was shifting us towards this

18:41

more technical or technocratic way of

18:43

thinking about human emotion. What are

18:46

the forces that are coming together

18:48

here?

18:49

>> So this is what we might call the

18:50

post-industrial revolution. The

18:52

industrial revolution everybody

18:53

understands actually what it how it

18:55

worked and you know when it it created

18:57

the middle class but but it also

18:59

destroyed a lot of indigenous ways of

19:00

living a lot of normal ways of you know

19:03

of families being together led to a lot

19:05

of urbanization and family fragmentation

19:07

etc etc the post-industrial revolution

19:09

is very similar in its way and what it

19:12

basically says is that we're going to

19:13

move toward al an algorithmic approach

19:17

to the things that to the basic human

19:19

needs that we actually all care about.

19:20

So as for example with the industrial

19:23

revolution what it did is it made

19:24

physically weak people strong by adding

19:27

machines to the way that we work. The

19:29

post-industrial re revolution it makes

19:31

people smarter. It actually is an

19:34

enhancement of cognitive skill. But the

19:36

important thing to keep in mind is that

19:38

it doesn't enhance all of your cognitive

19:40

skills. You have two kinds of cognitive

19:42

skills. You got the the leftbrain

19:45

complicated stuff and you have the right

19:47

brain complex stuff. And the right brain

19:50

is all the why questions of love and

19:52

mystery and meaning. That's real life.

19:54

On the left brain, you have all the

19:56

algorithms that you're actually trying

19:57

to solve. And and we have these things

19:59

every day and they're important. How do

20:00

I get my food? How do I get to work? How

20:02

do I find my destination? How do I turn

20:04

on my computer? All of these are

20:05

leftrain problems. The engineered

20:08

approach to life, the post-industrial

20:09

revolution, gives us this massive left

20:12

brain, but it lies to us. It says that

20:15

we can actually with that massive left

20:17

brain solve our right brain needs for

20:20

mystery, meaning, love, and happiness.

20:22

And it can't be done.

20:24

>> Now, is this explain or is this a data

20:25

point uh supporting that claim? the idea

20:27

that you talk about in your book that

20:29

you you saw that the suffering was worse

20:31

among young people that were in the most

20:32

sort of elite striving

20:34

>> educ like at Harvard this was like a

20:36

really big problem right

20:38

>> that would sort of track with I think

20:40

the the otherwise widely accepted you

20:42

know understanding of in the

20:43

post-industrial age you see elite

20:45

educational institutions uh separated

20:47

themselves from all of those things you

20:49

just said we don't really want to be in

20:50

the business of the numinous we don't

20:52

want to be in the business of the

20:53

transcendent we don't want to be talking

20:54

about um value and love and more moral

20:57

courage. We want to be talking about

20:59

theory. We want to be talking about uh

21:01

science. We want to be talking about a

21:03

very sort of highly educated way of

21:06

seeing the world. And in fact, we're

21:07

going to separate the world in between

21:08

people that can sort of uh approach it

21:10

through complex applications of

21:11

expertise and then those who don't who

21:13

don't really know what's going on.

21:15

>> STEM, baby.

21:16

>> Like, forget the humanities. It's all

21:17

STEM. Forget the good life. if you're

21:20

not actually studying something that

21:21

will I mean learn to code which people

21:23

used to say before coding became

21:25

completely overtaken by events and you

21:27

know back in these things and it's

21:28

interesting because I had this kind of

21:30

natural experiment you know I've got

21:31

three kids but my two older kids are

21:33

sons and they're only two years apart

21:35

and one of them went to Princeton to

21:38

study you know math and math and

21:40

economics and the other one didn't go to

21:42

college he worked on a farm and then

21:44

joined the Marine Corps as a sniper in

21:46

the Marine Corps okay now my kids are

21:48

fine and they're doing really really

21:49

well, but I'm really interested in their

21:51

communities. What I found found was my

21:53

older son was surrounded by people with

21:54

this on Wii and the sense of emptiness

21:57

and looking for meaning and okay, I

21:59

guess I'll get into the hustle and grind

22:00

culture and then all day long on the

22:02

phone. And my younger son, he wasn't

22:04

spending time on his phone at all. On

22:06

the contrary, he's goofing around with

22:07

his friends. None of his friends went to

22:09

college cuz they were enlisted US

22:11

Marines and they were having a great

22:13

time and they were super happy. What's

22:16

up with that? My younger son was living

22:18

the old way and my older son was living

22:21

the new way. And that is exactly what

22:24

actually helped me to crack the case

22:26

here was just looking at my own kids.

22:28

Oh,

22:28

>> that's fascinating. That's f it's almost

22:29

like in my my own sibling, right? Where

22:32

my my brother went to the Naval Academy

22:34

in the Navy and was on subs and I went

22:35

to Dartmouth and MIT and did like math

22:37

and computer science. Uh yeah, he lives

22:39

life. Oh man, he lives life. He's like

22:41

this is great. He lives in California.

22:43

He's always out there mountain biking

22:44

and surfing and going on, you know, he's

22:46

like really into it. All right, so this

22:48

is

22:49

>> by the way, you have escaped the matrix.

22:52

>> You actually escaped the matrix that

22:54

many computer scientists are stuck in

22:56

because you didn't fool yourself or you

22:58

didn't let the world lie to you to tell

22:59

you that your training, which is the

23:01

massive increase of your left

23:02

hemispheric activity, could solve your

23:05

right brain needs. You love your wife in

23:07

real life. You love your kids in real

23:10

life. You're a man of faith in real life

23:13

and you're not mediating that. Your

23:14

phone is out in the foyer. I know that

23:16

because I read your stuff.

23:18

>> Well, it helps. I think what helped that

23:19

was the fact that I ended up after grad

23:22

school at Georgetown, which is a Jesuit

23:24

university that is a liberal arts

23:26

institution that cares about those

23:28

things.

23:28

>> Yeah.

23:28

>> And it still You'll still walk by uh you

23:31

know, a Jesuit priest will walk by.

23:33

There'll be a Noviate going by. They

23:34

care about uh they care about uh

23:37

humanistic values. They care about

23:39

justice. They care about transcendence

23:41

and you're surrounded by it and it sort

23:42

of colors even the STEM work but okay so

23:45

let me there's a complicated thing that

23:47

confused me and I think there's an

23:49

answer to this complicated scenario in

23:51

your book right because I agree with

23:53

what you're saying you have a change in

23:55

the culture in the 21st century that

23:58

leads to this this problem of meaning

24:01

meaninglessness among young people but

24:03

there is also these timing hooks into

24:06

some of the negative um effects we see

24:09

to technology, right? Like especially

24:11

the the spread of the the smartphone led

24:15

in certain circumstances you see these

24:16

large bumps in the mental health issues.

24:19

Certainly you'll see this on college

24:20

campuses partially what like put me on

24:24

what I write about was like getting to

24:25

Georgetown and in like 2012 talking to

24:28

the head of the mental health counseling

24:30

to CAT program there and her just saying

24:32

we've like double or tripled anxiety

24:34

anxiety related disorders like in the

24:35

last couple of years. And I was like

24:37

what's the difference? She was like,

24:38

"It's the phones. The first kids who

24:39

showed up with phones, it's getting

24:41

worse." But tell me if I have this

24:43

right, because I think there's an answer

24:44

in your book, which is the way you talk

24:46

about the doom loop, which is this idea

24:48

of it's not that we were fine and then

24:50

we got the phones and then we got bad.

24:53

It was no, we were in this new perilous

24:55

situation. I'm throwing this out here.

24:57

You tell me if this is right. We were in

24:58

this new perilous cultural situation in

25:01

which we're getting disconnected from

25:02

these traditional right brain sources of

25:04

meaning. In that situation when iPhones

25:07

came along, uh we had smartphones that

25:10

allowed us to basically amplify or

25:12

supercharge the disconnection from

25:14

meaning that we were already having by

25:16

falling into what you call the doom

25:17

loop. Is that is that correctly

25:19

resolving this sort of

25:21

>> exactly right and doom loops are

25:23

characteristic of any addictive cycle

25:26

>> and and and the brain chemistry is very

25:28

same is very much the same across all of

25:30

these different cycles. And so you'll

25:31

find, for example, that if you're bored

25:33

and anxious, then you drink some

25:35

alcohol. And what that does is it makes

25:36

you it makes you feel better for a

25:38

minute, then you're more bored and

25:39

anxious. And so you drink some more

25:40

alcohol, and then you escalate, and down

25:42

and down and down it goes. And the same

25:44

thing is more or less true with the way

25:45

that we're in a society that has a lack

25:47

of inherent meaning that we actually

25:50

will because we're anxious and we're

25:53

bored. So that we use the technology to

25:55

distract ourselves. We use the the

25:57

technology to pass the time and that

25:59

makes us more bored and anxious and

26:02

that's the doom loop that we can't quite

26:04

get out of. The other way you should we

26:05

could think about it is the simulation

26:06

cuz that's what a lot of young people

26:08

told me in this. It's kind of like you

26:10

remember in 1999 sorry to shock you but

26:13

that's 27 years ago now at this point.

26:15

So even a young guy like you is going to

26:16

feel really old. But that's when The

26:18

Matrix was actually when it came out.

26:20

And the plot of that movie was that in

26:23

the years 2199, science fiction flick,

26:26

but they think it's 1999 in the movie

26:27

because they're living in pods being fed

26:30

a simulation of real life because an

26:32

artificial intelligence, a

26:34

superengineered

26:36

machine intelligence is is sucking the

26:38

energy out of humans in terms of their

26:41

energy, in terms of their attention. And

26:43

you have to pacify them by keeping them

26:46

in the simulation. Cal, we're in the

26:48

matrix. We're stuck in the matrix.

26:50

That's the doom loop is we don't know

26:51

how to get out of the matrix. And and so

26:54

that's a lot about that that's another

26:56

way to think of the same problem.

26:58

>> Do we is it uh is it useful or is this

27:01

crass to try to find useful analogies to

27:03

the fentanyl crisis in the sense of you

27:06

start with the same ground which is a

27:09

disconnection from traditional sources

27:10

of meaning. Um, so the problem is

27:13

already there. In this case, it's for

27:14

various economic drivers. Then you

27:16

introduce into the picture a a a vehicle

27:20

of escape that has lots of negative

27:22

externalities. In this case, it leads to

27:23

lots of uh deaths of despair and

27:25

overdose deaths. Whereas in the social

27:26

media world, you throw social media into

27:28

a ground where we're disconnected from

27:29

meeting and we tend to get um great

27:31

amplifications of anxiety, anxiety

27:33

related disorders. But in both cases,

27:35

there's a an underlying problem and then

27:37

you throw into the mix a sort of escape

27:40

that becomes addictive and causes its

27:42

own amplifies problems or causes its own

27:44

problems. Is that a reasonable analogy?

27:47

>> Well, we can, but we don't want to push

27:49

it too far. And part of the reason is

27:50

because

27:51

>> for many many millions of people, social

27:53

media is not a net bad. It it isn't a

27:56

net bad. It's not heroin. I mean, by the

27:58

way, there are a lot of analesic

28:00

painkillers that are not a net bad if

28:02

you actually need them for that matter.

28:04

But for many people, especially older

28:05

people that remember the four times,

28:07

social media is a phenomenal way to stay

28:10

a breast of your friends and to connect

28:13

with your grandchildren and to get a

28:15

good chuckle from time to time because

28:17

they can actually use it in a moderate

28:18

way. The problem is people who use it to

28:21

treat an underlying problem of misery

28:24

and dislocation and loneliness. A and

28:27

when they use it for that and distract

28:29

themselves and and and and solve the

28:31

problem of boredom, my goodness, you

28:33

know, boredom is really important and

28:36

and yet it's really uncomfortable

28:38

because it's boring. But mother nature

28:40

of course doesn't care and we've never

28:42

been able to do it. But when we solve

28:44

the problem of boredom, we we invite all

28:46

kinds of maladies. I mean, I'll tell you

28:48

something that my great my

28:49

great-grandfather Leroy Brooks, I

28:51

guarantee you he never said to Mary

28:53

Ellen, my great-grandmother, he never

28:54

came home and said, "Honey, I had a

28:57

panic attack behind the mule today."

28:59

Right? And the reason is because it

29:01

wasn't a thing. Because his brain wasn't

29:03

malfunctioning because he was bored a

29:06

lot. But, and here's the great irony of

29:07

the doom loop that we're actually in

29:09

today. His life was very boring moment

29:12

to moment behind that mule. But I

29:13

guarantee you his life wasn't boring.

29:16

People today are never bored moment to

29:19

moment, but their life is grindingly

29:21

boring. What's going on with that? To

29:23

eradicate moment to moment boredom,

29:25

we've traded away an interesting life.

29:27

That's what it's come down to because

29:28

our brains are working wrong. And that's

29:30

an encapsulation of the doom loop that

29:32

we're stuck in.

29:33

>> Interesting. Yeah. So to seek that

29:34

stimulation in the moment, you prevent

29:36

the the bigger picture action.

29:38

>> Yeah.

29:38

>> Well, so let's get into these equations

29:39

then because you know I like equations.

29:41

So I thought this I had never seen this

29:43

before. uh your relation of happiness to

29:46

meaning is you say okay happiness is an

29:48

equation it's this plus this plus this

29:50

um one of those factors is meaning those

29:53

other two factors we have it's not a

29:54

problem uh but the meaning if we don't

29:56

have the meaning we don't have the

29:57

happiness and then we can zoom in and

29:58

say okay then what is meaning well

30:00

meaning is this plus this plus this um

30:02

so those other two factors in happiness

30:05

were enjoyment satisfaction and meaning

30:07

so you think enjoyment satisfaction

30:10

no problem actually we're doing great

30:12

with that it's the meaning Yeah. So,

30:14

it's the meaning part we're missing.

30:16

>> Um Okay. And then because we're getting

30:18

enjoyment satisfaction just because

30:20

>> we we have stuff to do. If you're a

30:22

strive at Harvard, like you can you're

30:24

doing lots of satisfying stuff. Um and

30:26

we have enjoyment because we have access

30:28

to like endless things that in the

30:30

moment

30:31

>> give us all sorts of pleasure.

30:32

>> And we have friends and people actually

30:34

have friends and they do things together

30:35

um a lot. Not as much as they should to

30:37

be sure, but enjoyment is pleasure plus

30:40

people plus memory. That's how enjoyment

30:43

actually works. So, it's not just

30:44

pleasure. The secret to happiness is not

30:46

the pursuit of pleasure. The pursuit of

30:48

pleasure leads to rehab, not happiness.

30:50

But when we actually do things, and

30:52

young people do, they're really good at

30:54

it. It's actually kind of extraordinary.

30:55

Gen Z, they tended to be better in

30:58

enjoyment than boomers, as a matter of

31:00

fact. And you know, this is an this is

31:02

an achievementbased society. Their

31:04

satisfaction levels, which is the joy

31:06

from an accomplishment after struggle,

31:08

they're really good at that. But but

31:10

meaning is in the seller. meaning the

31:12

bottom has absolutely dropped out.

31:14

>> All right, so we there's uh four big

31:16

things you talk about in the book. I'm

31:17

going to ask you about some of these out

31:18

of order just thinking about my

31:20

audience's interests. All right, I want

31:21

to start with the one that overlaps my

31:23

work calling. All right, just what

31:25

you're doing right

31:26

>> in your profession. All right, I'm

31:27

nervous about this one because I you

31:28

know I wrote a book back god a long time

31:31

ago. I was still a postoc but I wrote a

31:33

book a long time ago that said we put

31:35

too much emphasis in our job being a

31:39

major source of um like passion and

31:42

meaning actually do something really

31:44

well you can craft it into something

31:46

that's that's meaningful in your life

31:47

but but don't don't be searching for

31:49

like the perfect work. You say calling

31:52

is important. All right. So help me

31:54

understand what that means and I want to

31:55

see if I can make it compatible with my

31:57

>> calling is this feeling that you're

31:58

doing something that you're meant to do

32:00

whether you enjoy it all the time or

32:02

not. That's what it comes down to. Now

32:05

I, you know, I teach at the Harvard

32:06

Business School. So I have a lot of

32:08

people that really are really going to

32:09

go work hard, lots and lots and lots of

32:11

hours. And and one of the things that I

32:13

tell them is don't worry about work life

32:15

balance. worry about work life

32:16

integration because your work should be

32:19

part of your life and it should make

32:20

your life better and and and and your

32:23

life outside work should make your work

32:24

better is what it comes down to. So if

32:26

your only strategy for finding

32:28

satisfaction in life is working all the

32:30

time, you're doing it wrong. And that's

32:32

why in the chapter on calling I have as

32:34

part of your calling doing leisure right

32:37

now. Leisure is actually not chilling on

32:39

a beach. If you're chilling on a beach

32:40

in every vacation, it means you're so

32:42

exhausted that all you're trying to do

32:44

is to get ready to work more and you're

32:46

doing it wrong is what it comes down to.

32:48

Leisure, according to to Yseph Peeper,

32:50

you know, the great 20th century German

32:52

philosopher, it really comes down to it.

32:55

It comes down to doing something with

32:57

purpose that they don't pay you for,

33:00

something generative that they don't pay

33:02

you for, where you grow as a person. And

33:04

he puts it into three kind of

33:05

categories. spiritual uh development,

33:08

relationship development, and

33:10

intellectual development. In other

33:12

words, go read the brother's keramazov

33:15

if you're going to be on the beach for

33:16

Pete's sake and do it with the love of

33:18

your life and then go pray or or

33:20

something like that. I mean, it's

33:21

basically what it comes down to is

33:23

developing yourself. And that is so

33:26

important that it actually is part of

33:28

the calling per se, what you're meant to

33:30

do as a person.

33:32

>> But how do you find a calling?

33:33

>> Yeah. So finding a calling really comes

33:36

down to and you know there's a lot of

33:38

stuff written on this of course there's

33:39

a lot of philosophy written on this is

33:41

looking for compensation that comes in

33:44

two in two ways that you find and this

33:46

is you know I'm an old economist so

33:48

behavioral economist so this is you you

33:50

go back to your computer science days I

33:52

go back to the equations of the board as

33:54

an economist and the two things that

33:56

actually predict people feeling like

33:57

their work is a meaningful calling have

33:59

nothing to do with money or position or

34:02

prestige or title There's two things.

34:05

Number one is the belief that they're

34:06

earning their success, which is to say,

34:09

I feel like I'm creating value with my

34:10

life and value in my work for me and for

34:13

others. And the second is they feel that

34:15

they're needed because they're serving

34:16

other people. That's what it comes down

34:18

to. And again, that doesn't mean that

34:20

you're you're changing the world. You

34:21

don't have to be Mother Teresa. Maybe

34:23

you feel like your co-workers need you.

34:26

That you know, it would matter if you

34:27

didn't show up. But if you feel like

34:29

you're acknowledged and rewarded for

34:31

your hard work and personal

34:33

responsibility, merit is everything. Cal

34:35

merit-based systems are so important.

34:37

You and I both know that tenure-based

34:39

systems are not very motivating. We're

34:40

both academics. Loyaltybased systems

34:43

like in government are the worst

34:45

actually for motivating people. But what

34:47

everybody knows when they're there on

34:49

the basis of merit and that's what

34:51

actually helps. But more important is

34:53

that they're serving their fellow women

34:54

and men. That's what it comes down to.

34:56

So, it's earning your success and

34:57

serving other people. Then, you know

34:59

you're in the in the zone of calling.

35:01

>> Well, okay. So, there's two things there

35:02

that that puts you so much on my my

35:05

wavelength that I'm I'm excited about it

35:07

to the point where my readers like, "Oh,

35:08

yeah, that's Cal." Right? Like the two

35:10

things you said there that definitely

35:11

caught my attention is okay. The way

35:13

you're talking about it is this is not

35:16

about the matching of the specific

35:18

content of the job to some sort of

35:20

narrow pre-existing inclination, which

35:23

is what my generation was taught,

35:25

>> right? Follow your passion was 1990s

35:27

into the early 2000s. We were taught

35:29

what matters is the content of your job.

35:31

You have to figure out through

35:32

introspection that you're meant to be a

35:34

beat reporter for a baseball team and

35:36

that's your passion and if you can match

35:37

that to your job, you'll be happy.

35:38

Otherwise, you won't. Nothing you said

35:40

was about the content of the job. It was

35:42

about the properties. Uh so you don't

35:45

have to figure out in advance

35:48

what is the perfect job for me. And then

35:50

two, those things you're talking about

35:52

feeling like you're valued and have on a

35:54

real merit basis and being able to

35:56

really be serving people that develops

35:59

over time, right? That does go along

36:01

with you might not feel that way as much

36:03

in the first month of a job out of

36:05

college than where you're going to be 20

36:07

years after you've built up real

36:09

expertise and and real skills that are

36:11

important. You understand the industry.

36:12

So, it's something that you develop and

36:14

gets richer over time.

36:16

>> Yeah,

36:16

>> those two notes are music music to my

36:18

ears. So I think we're

36:20

>> and I've learned that through long

36:21

experience. You know when I was in my

36:24

20s when I thought that my passion, my

36:26

everything, my all was classical music.

36:29

I was a professional French horn player.

36:31

I was playing in the Barcelona City

36:32

Orchestra. I was going to be the world's

36:34

greatest French horn player. So I

36:36

thought I thought that was the only

36:37

thing I was actually made for. And if I

36:38

didn't do that, I might as well die,

36:40

Cal. And the reason is because I had

36:42

been taught to follow my passion. And

36:44

what I found was that I wasn't going to

36:46

be the world's greatest French horn

36:47

player. And I married a woman who said

36:48

it doesn't really matter. And I went

36:50

back to school and I found I was

36:52

interested in all these different

36:54

things. And I was good at things I

36:56

didn't actually know I was. And I went a

36:58

completely different direction for

36:59

Pete's sake. I became a behavioral

37:01

scientist. And then later on I became a

37:03

CEO of a big think tank in Washington

37:05

DC. And now now I teach happiness at a

37:07

business school. And the truth is it's

37:09

the best man because what I'm doing is

37:11

I'm I'm I'm cycling around. is what that

37:14

there's an old research by a a social

37:17

psychologist at USC um named Michael

37:19

Driver who talked about the the the

37:21

kinds of careers based on psychological

37:24

profiles and and and a lot of really

37:26

accomplished professionals are called

37:28

spy roles meaning that they reinvent

37:30

themselves every 7 to 12 years which you

37:32

did I mean you were you're you know a

37:34

very you know conventional

37:36

you know computer scientist and now you

37:38

write how to people to be happy for

37:40

Pete's sake thank god you teach at

37:42

Georgetown Because you know you can

37:43

actually do stuff like that because

37:45

you're a spiral. Every 7 to 12 years you

37:47

reconceive of yourself thinking what can

37:50

I do now based on where I am in my life

37:52

and my relative skills and my my

37:54

crystallized intelligence and how I'm

37:57

changing and and how I see the world

37:59

where I can earn my success and I can

38:01

serve others. Those are the two

38:02

questions.

38:03

>> All right. I want to ask you about

38:04

religion. I I have a question for you

38:06

about religion because I'm on I'm I'm on

38:08

board with you uh listing the

38:09

transcendent as one of the key factors

38:11

for actually regaining this meaning. But

38:13

I want to ask you a question about quote

38:15

unquote kids these days

38:17

>> and their relationship to religion

38:18

because it's confusing to me or unknown

38:20

to me. Right? So my generation uh when

38:24

we when we came of age we we came of age

38:26

in that sort of uh George W. Bush era

38:28

where there was this sort of um

38:31

interesting schism that happened. the

38:32

left moved away from religion that

38:34

became the the rights sort of uh domain.

38:38

Um we got there this was like the

38:40

intelligent design debates and there

38:42

became this sort of cultural split. This

38:44

is when new atheism arose post 911.

38:47

There's all of these forces that um made

38:50

a real sort of antagonistic relationship

38:52

to religion um and often associated it

38:55

with um I don't know conservative

38:57

politics and simplicity on the other

38:59

side of science. And so my generation

39:00

grew up with like John Stewart making

39:03

fun of evangelicals, right? And so we we

39:05

had a complicated relationship with

39:06

religion that now the millennials are

39:08

sort of repairing. What's going on with

39:11

Gen Z? Where are they? Are they what are

39:14

you seeing? Are they

39:16

>> pro religion, anti-religion, indifferent

39:18

to religion, dislike it matters? Like

39:19

what's going on with this new

39:20

generation? So until about three or four

39:24

years ago, the answer was they continued

39:26

to walk away from religion. And you saw

39:28

more and more people self-identifying as

39:30

nuns. Not like nuns with habits,

39:32

Catholic nuns that you were at

39:33

Georgetown with. Nuns, Nes, people who

39:37

are identifying as having no

39:38

spirituality or religious tradition. The

39:41

year I was born in 1964, nice long time

39:44

ago, that was 1% of the population.

39:46

Right now it's 32% of the population is

39:49

what we find. And so it's massively

39:50

increased and that was largely because

39:52

of Gen X and millennials who are coming

39:55

through exactly the bubble that we

39:57

talked about here. But but but something

39:59

has happened in this sort of age of

40:00

emptiness. It's almost as if there's a

40:03

bill of goods that they've been sold.

40:05

Not that there's a particular religion

40:07

that's that's suiting it. But we found

40:09

in the past three years is that there's

40:11

a tick up or a tick down I should say in

40:13

the nuns that there's a tick up in the

40:16

people who are actually starting to

40:17

identify as spiritual or religious

40:19

starting with young men. And that's

40:21

usually how it goes by the way. You know

40:23

the whole idea where every time religion

40:25

is is is waning people are like yeah no

40:27

man that's it that's it. That's it. And

40:29

then it starts to wax again.

40:31

>> Yeah.

40:31

>> Right. And it and it's gone through

40:32

this. I mean we go back to the time of

40:33

the American Revolution for example.

40:35

people were about as irreligious as they

40:37

are today. And then we go to after the

40:39

Civil War, this massive boom in

40:42

religious experience where I mean that's

40:44

when all of the

40:45

>> Yeah. That's when all of the uh reformed

40:47

Jew Jewish temples in America were

40:49

coming across between the Civil War and

40:51

the First World War. Boom, man. That's

40:53

when the Mormons were there. The

40:54

Methodists and the Baptists were just

40:56

doing these tent revivals, the

40:57

temperance movement, the

40:58

self-improvement movements, which are

40:59

quasi religious movements. And then, you

41:02

know, in the ' 50s it was more

41:03

traditional religion. And then you know

41:05

through the hippie revolution it changed

41:07

and then there was a cult. There was all

41:09

the cults that actually came through and

41:10

the mooneyies and all this kind of

41:11

stuff. And this is just American life.

41:14

And so what's happening right now is

41:16

when people feel this onw wei this acute

41:19

sense of emptiness religion is going to

41:21

be is not going to be very far behind.

41:22

And sure enough that's actually the

41:24

beginning of what we're starting to see

41:25

today.

41:26

>> But help me resolve this tension. Right.

41:27

So we're we're in this this new moment

41:29

that started sort of early 21st century

41:31

which is much more algorithmic and

41:32

technocratic way of thinking about

41:34

treating life. It seems like it's

41:36

causing two uh two counter forces right

41:40

so force number one is that creates a

41:41

non-we or meaninglessness which will

41:43

drive people back to I need something

41:44

like religion to act as like the

41:46

operating system for the newness in my

41:48

life. But at the same time the culture

41:50

itself has a defense mechanism against

41:52

religion. It makes you uncomfortable

41:54

about religion if you're steeped in this

41:56

much more technical scientific

41:57

algorithmic culture because you say

42:00

>> I have lost the ability to comfortably

42:02

deal with something that doesn't exist

42:03

in the the matrix of empiricism that

42:05

doesn't exist in terms of like this is a

42:08

um we're making observations of putting

42:10

them on tables and we're we we're

42:11

verifying if this is true or false and

42:13

we're thinking about factchecking and

42:14

and you know it's a the whole cultural

42:17

millu that you're talking about is one

42:19

in which if you're in that world

42:20

religion doesn't make sense. So, it's

42:22

driving us towards religion, but it's

42:24

also a culture that's going to make us

42:25

uncomfortable with religion. I guess

42:27

what that creates, like we saw coming

42:29

out of Silicon Valley in the 2010s, a

42:31

lot of people that were talking about

42:33

there's a period where every every

42:34

friend I had was saying they were

42:36

spiritual but not religious, which to me

42:38

would be an exact personification of

42:40

exactly those tensions. But what's going

42:42

to win here? Because we have

42:44

counterforces.

42:45

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right, Jesse, let's get back to the

46:09

show.

46:10

>> So, I I think that what's going to win

46:12

is the desire to be happier. that that's

46:14

what's going to win because you know

46:16

who's going to choose misery forever on

46:19

purpose is the whole point. So here it's

46:21

actually a deeper problem than what

46:22

you're talking about. You know the work

46:24

of Ian McGillchrist the great

46:25

neuroscientist and and philosopher at

46:27

Oxford now ameritus he did the work on

46:30

hemispheric lateralization that I talked

46:31

about before where the left brain does

46:33

the complicated engineering stuff and

46:35

the tech that you're dealing with every

46:36

day and the right brain is the why

46:38

questions that don't have answers about

46:40

love and mystery and meaning and

46:41

happiness. And so what happens is that

46:44

when you're only on the left brain

46:45

because you're on the tech all day long

46:46

and you're in the hustle and grind

46:48

culture, it's not that you can't deal

46:50

with religion. It's just that you don't

46:52

even it doesn't even occur to you to

46:54

deal with religion because you're

46:55

literally in the wrong part of your

46:57

brain all day long to deal with

46:59

religious questions. Now, that means

47:02

that when people become miserable

47:04

enough, they'll say, "What is actually

47:05

missing?" And that's when you get a

47:08

whole rash of books by cats like you and

47:10

me that say, uh, let's take a little

47:13

look at what you've been missing. And

47:14

when they do, you get a cultural

47:16

revolution. I don't mean in the Chinese

47:18

sense. I mean in the sense of when we

47:20

actually get these religious waves in

47:21

our society and when people start to

47:24

rebel against it. And that's actually

47:26

what I see for the first time. I'm in

47:27

I'm in Silicon Valley all the time.

47:29

Look, I'm super into tech. I actually

47:32

believe that AI is going to wind up at

47:34

the end of the day mostly making us

47:36

happier because a lot of people are

47:38

going to figure out that you know all

47:39

the leftrain stuff that it does actually

47:42

frees us up to have a lot more time. the

47:45

tech the the industrial revolution

47:46

initially made people work more but then

47:48

it created the weekend and on the

47:50

weekend they actually hung out with

47:52

their kids and what AI is ultimately

47:54

going to do is do a lot of leftbrain

47:56

nonsense and in the free time that we

47:59

ultimately will have we will have like

48:01

do crazy old-fashioned stuff like

48:03

falling in love and having babies and

48:07

praying and meditating and I actually

48:09

figure that that's the direction that

48:11

we're going to go because that's the

48:12

humans what humans ultimately

48:14

always do in the end that they choose

48:16

happiness.

48:17

>> So, uh well, I I don't know if I share

48:20

your optimism. Unfortunately, on AI,

48:22

just because I've studied too many

48:23

workplace technologies and the

48:25

possibility is always there, we always

48:26

mess it up. We always mess it up. We

48:28

always end up making our lives more

48:29

frantic. Uh because we're

48:31

>> Yeah. But each one of us can make that

48:32

decision. Now, by the way,

48:34

>> I agree.

48:34

>> Which is why you write your books.

48:36

>> Yeah. And I've been telling people,

48:38

yeah, think about AI. How can I automate

48:40

something that's annoying? If you're

48:42

using it to avoid strain in your brain,

48:45

there be dragons. Like actually, no, no,

48:47

no. You want to keep that piece, that

48:49

sort of humanistic, I'm trying to create

48:50

new value with my brain. Keep that. But

48:52

if this means you have to not format a

48:54

PowerPoint slide, oh, fantastic. There's

48:55

no reason for you to be doing. All

48:57

right. So, you don't like formatting

48:58

PowerPoint slides unless that's your

49:00

actual thing is what it comes down to.

49:01

And by the way, don't use it as a

49:04

substitute for your relationships.

49:06

That's the biggest mistake that people

49:07

make is making it your getting the

49:09

girlfriend experience from AI or or

49:12

making it your buddy or god forbid your

49:14

therapist. That actually is a substitute

49:17

and your brain will know the difference.

49:19

It will never pass the touring test of

49:21

the right hemisphere of your brain. And

49:23

even though you say, "Wow, that's really

49:24

good advice." That will make you feel

49:26

empty, depressed, and anxious because

49:28

your right brain is craving a true human

49:31

experience.

49:31

>> Yeah. And it knows the difference. Well,

49:33

let's talk about that because that was

49:34

another one of your um the things you

49:36

mentioned as sources of meaning is fall

49:38

in love, have relationships. I know this

49:40

is being said as a struggle um uh

49:44

especially for younger people. Um why

49:46

and what should they do to overcome that

49:48

struggle?

49:49

>> To begin with, it's been we we've made

49:52

it a lot worse with the technical

49:53

mediation of the relationships

49:55

themselves. You know, the truth is that

49:57

the best possible way to find a mate is

50:00

to go someplace where those people

50:01

actually are and to deal with them over

50:05

an interest that you have in common.

50:07

That's actually how you meet people,

50:08

which is why traditionally people would

50:10

meet their mate in college or in the

50:12

workplace, right? Another great way to

50:14

do it is that somebody another human

50:16

being who knows you sets you up which is

50:18

why matchmakers and families are so

50:21

really good at actually finding people

50:23

because they're dealing with a

50:24

complexity of the human person

50:25

themselves. When you inter

50:27

disintermediate that with dating apps

50:30

what you're doing is you're reducing

50:31

people to a two-dimensional faximile of

50:34

themselves and that is inherently

50:36

unsatisfying. That's one of the reasons

50:38

that people who date a lot in the apps,

50:40

they get way more dates than they used

50:41

to. And they find less attraction than

50:44

they used to. And when the when it turns

50:46

into a long-term relationship, it's less

50:48

stable and satisfying than it used to

50:50

be. So marriages, by the way, 62% of

50:53

long-term relationships are starting in

50:54

the apps today. They are fundamentally

50:56

and notably significantly less stable

50:59

and have less attraction than

51:01

relationships that don't start in the

51:02

apps because they're starting literally

51:05

in the wrong side of the brain.

51:07

Oh, interesting. So that the right wing

51:09

the right brain uh appreciation of sort

51:13

of humanity this is a separate this is a

51:15

person this is a soul this is like a

51:18

another human being you know blessed by

51:20

God to be sort of like infinitely

51:22

valuable and we are like interacting in

51:24

space your brain is literally encoding a

51:27

different understanding

51:29

>> than

51:31

this was option five I swept right on or

51:33

something like that it's not like you

51:34

know you're actually not encountering

51:37

the people that your right brain needs.

51:39

Why? Because your left brain is

51:41

ascertaining who the greatest match is

51:42

going to be. And your left brain is

51:44

going to get it wrong. Your left brain

51:45

gets it wrong. And your right brain

51:47

knows. You remember when you met your

51:49

wife, which was probably you how old

51:50

were you in college when you met your

51:51

wife?

51:51

>> We were in college.

51:53

>> Yeah. And and you met her what at like

51:55

what were you doing? You were like

51:56

having dinner or something and someone

51:58

introduced you.

51:58

>> She was on my floor uh in my freshman

52:01

dorm,

52:02

>> right? Oh, man. Good stuff. And you met

52:04

her and what's that? But I'll say this

52:06

about it is is uh we used to do things

52:10

like in high school we would do things

52:12

like go to parties and it was it was

52:14

social boot camp because it was weird

52:16

and awkward. You had to navigate

52:18

incredibly complicated real world

52:21

situations like trying to figure out is

52:23

my popularity sufficient to be in this

52:25

room with these particular people and

52:27

how do I navigate this and it was very

52:29

difficult and stressful and you would

52:30

drive around with your friends and you

52:32

got good at it and I always think about

52:34

by the time I got to college then I

52:36

could function competently

52:38

>> in the new social circumstances and like

52:40

fraternities and dorms and this or that

52:43

>> which allowed me to attract a mate who's

52:44

now been you know my wife for 20 years.

52:46

So there's like something complex human

52:49

experience. And if you were on the apps,

52:50

god forbid, you'd know if she is she

52:53

look hot in a picture, does she like to

52:56

eat Sriracha? Does she want to live in

52:59

in in Austin? And does she vote for

53:01

Democrats? Or something like that. And

53:03

you say, "Okay, I guess I'll go on a

53:04

date with her." Right? And she'll be

53:06

like, "Is he over 6'3? Does he have a

53:10

good lustrous head of hair?" In your

53:11

case, boy, is that ever true. And and

53:13

the truth is that, you know, this stuff

53:15

is is incidental. When I first met my

53:16

wife, she didn't speak a word of English

53:18

and I didn't speak a word of Spanish and

53:21

I was talking to her and I could smell

53:23

her and I thought to myself, I don't

53:25

know why, but she smells like a

53:27

cantaloupe in August. I really, really

53:29

like that. Now, what's happening is the

53:31

right side of my brain in concert with

53:33

the alactory bulb in my brain was saying

53:35

something about her major

53:36

hystocompatibility complex, which is

53:39

telling me something about the the

53:41

dissimilarity of our immune systems. And

53:44

that was telling me something like

53:45

attraction, attraction, attraction,

53:47

because if you have babies, they're

53:48

going to have really good immune systems

53:50

because you're really different than

53:50

each other. Thank God for all that, man.

53:53

But you're not going to get that on

53:54

Hinge.

53:55

>> I can't wait to I I would love to hear

53:57

what your wedding vows were like. Let me

54:00

let me talk about the immune system

54:02

mismatch

54:03

>> language.

54:04

>> I love it. All right, so we're we're

54:05

basically out of time here, so let's

54:06

just try to bring it down to um All

54:08

right, so I want to be concrete. It's

54:10

impossible to be too concrete, but

54:11

there's a lister of mine. and they're

54:13

agreeing with all of this. Like I want

54:14

to add the meaning to the equation. This

54:16

is what I'm missing. This is brings a

54:18

lot of pieces together, but I want to

54:19

get concrete like what am I doing in the

54:22

next few weeks or in the next few months

54:24

just to sort of start moving in the

54:25

right direction towards meaning uh while

54:27

I'm waiting for my copy of Arthur's

54:29

Brook.

54:30

>> Yeah. Book number.

54:32

>> Yeah. Got it. That's great. Thank you.

54:33

Um number one, get clean. Number one is

54:36

actually start to do some things to

54:37

rebel against the machine that's

54:39

actually putting you into the doom loop.

54:40

Number one is you should people should

54:42

be really angry that they're actually

54:44

stuck in this thing. And and and and I

54:46

talk about the fact that in all

54:48

addictive processes, the number one

54:50

instigator of of of

54:52

actually recovery is getting just pissed

54:55

off. You know, that's what it comes down

54:56

to. You know, talk to anybody who's a

54:58

former al, you know, really bad

55:00

alcoholic. They'll say it's like I got

55:02

so mad about what I was doing to myself

55:03

and what I was doing to the family and

55:05

what I just like no, I'm not going to do

55:06

this anymore. You read Dosski's The

55:09

Gambler, which he wrote, by the way,

55:11

because he was so out of money, that he

55:14

was that he actually had to wager

55:16

everything he had to get a novel written

55:18

in one month so that he had enough money

55:20

to pay off his gambling debts. And he

55:23

wrote it about a gambler. And the whole

55:25

thing is just like he's like basically,

55:28

you know, to hell with it all is what he

55:30

said at the end of the day. The second

55:32

thing is you basically have to

55:34

understand how your brain is getting

55:35

hooked onto these machines and actually

55:37

how it works. And again, I'm not anti-

55:38

tech. I'm not anti-phone. I'm not

55:40

antisocial media. I've got all of it and

55:42

and so do you. You have to understand

55:45

how you need to learn to manage your

55:47

devices so they don't manage you. And

55:50

I've got a bunch of protocols in this

55:51

book to actually do that. But it starts

55:53

with your methods for device free times.

55:56

And you're cited in this book. and and

55:58

that's like first hour of the day during

56:00

meals last hour of the day and the gold

56:03

standard is your phone foyer method by

56:05

the way where actually when you're home

56:06

you're actually doing this then the the

56:08

last part is actually working to get

56:10

bored on purpose and so I recommend that

56:13

people actually work out without

56:14

headphones that people go for walks for

56:17

an hour in the morning called the brahma

56:19

makerta in vadic wisdom without devices

56:22

that they drive in silence a whole bunch

56:25

of actual interventions to do that so

56:26

that's number one is and clean. Number

56:28

two, before the book shows up, because

56:30

by the time the book shows up, there's a

56:31

whole bunch of cool stuff to actually

56:33

do, but everybody can do this, is

56:34

actually getting into what the Greeks

56:36

call the state of aporeia, which is the

56:38

state of puzzlement, by actually

56:40

thinking about big questions that don't

56:42

have answers and talking about it with

56:44

other people. Here's two. Why am I

56:47

alive?

56:49

Here's another. For what would I give my

56:51

life? You know, that's when you were in

56:53

college. That's what you were talking

56:54

about at 11:30 p.m. after the party when

56:57

you met your wife. Now, what are people

56:59

doing at 11:30 p.m. after the party?

57:02

Zitz zitz zit. Sending themselves right

57:05

over to the left side of the brain. This

57:07

is what every major religious tradition

57:09

has in common. If you're trying to

57:10

become a Zen Buddhist monk, you're going

57:12

to learn Coins. What's the sound of one

57:14

hand clapping? The big questions, the

57:16

deep questions, the questions that

57:18

matter most in life. That is pure

57:20

therapy for the right hemisphere of the

57:22

brain. You're not going to find the

57:24

answers to the questions and that's not

57:25

the point. What you're going to find is

57:27

that you put yourself into a position

57:29

where meaning starts to find you.

57:32

>> All right. Well, this I'm on board with

57:34

all this, Arthur. I think like uh the

57:36

right brain versus left brain, the

57:38

equations, why meaning is lacking. Like

57:40

all this stuff resonates with me. A lot

57:42

of insights in this book that I hadn't

57:43

had before, but helped explain things

57:45

I'd noticed, which to me is usually the

57:47

mark of a good theoretical framework.

57:48

So, to my audience, the book is called

57:50

The Meaning of Your Life. Yeah, you need

57:52

to go order it. It's gonna definitely

57:54

help you with all the things we talk

57:55

about here on this show. And Arthur,

57:57

it's always a pleasure to have you on

57:58

the show. Uh we'll have to have you back

58:01

on again soon. But thanks for joining us

58:03

today.

58:03

>> I love it. Thank you, Kell. Thank you

58:05

for your work. It's really helped my

58:06

life a lot and a lot of other millions

58:08

of other people, too.

58:09

>> I appreciate it.

58:10

>> Right on.

58:11

>> All right. So, there we go, Jesse. That

58:13

was my discussion uh with Arthur Brooks.

58:18

It's interesting how ideas seemed to

58:21

travel in pack. So for the years I was

58:24

working on my new book about the deep

58:27

life which is coming out next year. It

58:29

really felt like it was sort of out of

58:31

left field and I was the only one

58:32

thinking about this. And now all at once

58:34

there's lots of books about the same

58:36

general idea. Arthur Brooks is one of

58:38

these books. Jim Collins, they just sent

58:39

me a new copy of his book that's coming

58:41

out that's also about trying to find

58:42

more meaning in your life. So I think

58:44

it's just in the air right now that

58:46

we're in a mode where people are ready

58:47

to say let's stop just talking about the

58:50

problems and start also talking about

58:52

the solutions. Now all of our books do

58:54

something different so they all

58:55

complement each other but I'm kind of

58:56

happy to see that we're entering a

58:58

moment in this year of questioning how

59:02

do we cultivate a life of purpose as

59:04

opposed to being so uh unique like

59:06

focused very myopically on just

59:08

individual issues that we might want to

59:10

solve. So, I guess we call this like the

59:12

meaning renaissance. I don't know.

59:14

>> Yeah. Did you end up writing your

59:15

conclusion yet?

59:17

>> No. What I'm doing, uh, I haven't

59:19

written the conclusion yet because I

59:21

want to see I'm in the first round of

59:22

edits for my book, The Deep Life. And

59:24

what I've been struggling on all week,

59:26

honestly, is more of my personal story

59:29

and the introduction, my editor wants,

59:30

and I'm pretty uncomfortable writing

59:32

about myself. But there are some pretty

59:35

deep motivations from like uh my 20s

59:38

where I developed a lot of the ideas

59:40

like lifestyle ccentric planning that

59:42

then play a big role in my theory of the

59:44

deep life involving some stuff I went

59:45

through back then. So I'm trying to

59:46

write about it and God is going slow. I

59:49

could write a 30,000word, you know, New

59:52

Yorker essay easier than I could write

59:55

this sort of 1500 words about like my

59:57

own story.

59:58

>> But it was also like completely

60:00

unanticipated, right? like you didn't

60:01

expect it

60:03

>> to do that when the editor came back

60:04

with those comments.

60:05

>> No, I mean I know she was right. I was

60:06

just hoping she wouldn't notice. Oh,

60:08

>> okay.

60:08

>> Yeah. I was like, do I really have to

60:10

talk? But she's right. Like

60:13

that when you're talking about something

60:14

like cultivating a deep life, it is as

60:17

personal as it is technical. So, it is

60:18

right. But, man, it's really slowing me

60:20

down. But, I'm almost there. I'm gonna

60:21

try to finish it this afternoon actually

60:23

after we record and then move on to like

60:25

more normal editing that I'm comfortable

60:27

with, which is about shortening stories,

60:30

adding stories, clarifying things,

60:31

cutting things that don't need to be

60:32

there. There is my happy zone. I love

60:34

cutting and simplifying, but man, it

60:37

doesn't help that I'm lying a lot. So,

60:39

like in my story, it's a lot of me in

60:41

war zones.

60:44

I basically just like took a lot from a

60:46

mix of like Sebastian Junger's books

60:48

about being embedded in Afghanistan and

60:51

uh the Navy Seal Richard Marino's

60:54

autobiography of starting Seal Team 6.

60:55

So I I kind of mix a lot of that into

60:57

there. I guess it maybe it it maybe

60:59

readers will notice there's a lot of a

61:01

lot of me doing Halo jumps, high

61:03

altitude low opening parachute jumps

61:05

into terrorist camps, but you know, I

61:08

want to keep it

61:10

>> keep it real.

61:10

>> Keep it real. That's what I say. That's

61:12

what we do here. All right, speaking of

61:13

keeping it real, you've heard from me

61:16

and Arthur, and now it's time to hear

61:18

what you have to say. Jesse, it's time

61:19

to open our inbox.

61:23

And just as a reminder, if you want to

61:24

ask a question or share a case story, or

61:25

maybe just attempt the prod me into a

61:27

ranch, send a note to

61:28

podcast@calport.com.

61:31

I think we now have a three different

61:32

people who read that inbox, so it's your

61:34

best chance of actually getting your

61:36

information uh in front of me and on the

61:38

show. All right, Jesse, what's the first

61:39

message we're going to cover today? All

61:41

right, first message. Adam recommended

61:43

an article for you to read.

61:45

>> All right, so what do we got here? This

61:46

is from Adam Scott. You think this is

61:50

the actor Adam Scott from Severance and

61:52

Parks and Recreation?

61:53

>> Yes.

61:54

>> Let's just assume yes. Uh, look, this is

61:57

his words, not mine. Emmy nominated

61:59

actor Adam Scott uh essentially sees me

62:02

as like one of his biggest inspirations.

62:03

I think we can just

62:05

assume that's true. All right. What did

62:08

Adam Scott have to say? He said, uh,

62:10

here's an article that will be quote

62:12

right up Cal's alley. All right, so

62:14

let's, uh, load up this article I put up

62:16

here on the screen that Adam Scott sent

62:18

me. It's from Gizmodo. Here's the title.

62:21

Tech employees are reportedly being

62:23

evaluated by how fast they burn through

62:26

LLM tokens. Is that terminology known,

62:29

do you think, Jesse? Like, if you hear

62:30

me say LLM tokens, you know what that

62:32

means? I'm not sure if my audience does.

62:34

>> Can you define it? So this is what you

62:37

actually uh how you're actually charged

62:40

for using something like a language

62:42

model. So when you use a large language

62:43

model, you give it text as input and the

62:47

output is a single token which is either

62:48

a word or a part of a word. Right? So

62:51

what the language model thinks it's

62:52

doing is it thinks the input is from a

62:55

real piece of text that already exists

62:57

and that it is trying to correctly guess

62:59

what word or part of the word comes

63:01

next. So how do you get a whole long

63:03

response out of it? Well, you have a

63:04

computer program like a chatbot for

63:06

example would have a computer program

63:08

that continually calls the LLM again and

63:10

again. So you give it a prompt. It gives

63:13

it as input to the LLM. It gets out one

63:15

token. It adds that token to the end of

63:17

your prompt. Now you have a slightly

63:19

longer input. It feeds that into the

63:21

LLM. Gets another prompt token. Adds

63:24

that to the end of your input. Feeds

63:26

that back in. So you're growing out a

63:28

response one word or part of a word at a

63:31

time. This is called auto reggression

63:33

where you keep feeding back your uh your

63:36

output back into the input to try to

63:38

grow the final output and at some point

63:40

the LLM will output a special token that

63:42

says that's the end of my answer. Um at

63:44

which point then you return that to the

63:46

user if you're in like a chatbot

63:48

scenario. So every time you produce a

63:50

token your input has to go through all

63:53

of the layers of the LLM and all of the

63:55

hundreds of billions of parameters have

63:57

to be involved in multiplications. So

63:59

that's the measure of how much

64:01

computation is necessary for a

64:03

particular response is how many tokens

64:05

had to be generated. So it's the same

64:06

thing as saying how many uh how many

64:08

times do we have to call the LLM. All

64:10

right. So when it says tech employees

64:11

are being evaluated by how fast they

64:13

burn through LM tokens, it means um how

64:15

much they're using language models. So

64:18

let me read from this article. This

64:20

article is actually it's quoting a Kevin

64:22

Roose column from the New York Times. So

64:24

really we should be reading Kevin's but

64:25

this is what the this is what they sent

64:27

me. So, uh, I'll read what's actually in

64:29

the Gizmodo article. All right. So, it

64:31

says, and I'm quoting here, according to

64:33

a column by the New York Times, Kevin

64:35

Roose, employees at companies, including

64:37

Meta and OpenAI, compete on quote,

64:40

internal leaderboards that show how many

64:41

tokens each worker consumes, end quote.

64:44

at Meta in particular and also Shopify.

64:47

Roose says volume of AI used has become

64:49

a metric that goes into people's

64:50

evaluations with managers quote

64:52

rewarding workers who make heavy use of

64:54

AI tools and chastening those uh who do

64:58

not. The resulting numbers in terms of

65:02

both tokens and money are absolutely

65:04

staggering. One open eye engineer

65:06

according to Roose burned through 210

65:08

billion tokens which Roose equates to 33

65:10

Wikipedias. A Swedish software engineer

65:13

claims to Roose that his company spends

65:14

more than his salary on claude code

65:16

tokens alone. And then because I guess

65:21

we have to jinzy everything, he calls

65:23

this token maxing. So there we go. Um

65:27

what do I feel about this? Well, I think

65:28

this is just pseudo productivity laid

65:30

bare. It's a a big idea we talked about

65:33

in last week's episode, which is why

65:36

Emmy nominated actor Adam Scott sent me

65:37

this article this week is this idea that

65:40

in knowledge work in general, we tend to

65:42

use visible activity as a proxy for

65:45

useful effort. The busier you are, the

65:47

more stuff you're doing, the more

65:48

productive we think you are. This is why

65:51

we send tons of emails and jump in tons

65:53

of meetings, even if that's not actually

65:55

producing more of whatever it is that

65:57

makes money for our institution. Well,

65:58

this is that made even more

65:59

quantitative. I don't care what you're

66:02

doing. I don't care if it's producing

66:03

better software. I don't care if it's

66:05

shipping more things that matter faster.

66:07

I just want to see that you're making

66:09

lots of hits on the LLM because that

66:11

means you're doing lots of things. So,

66:13

it's pseudo productivity laid bare. But

66:14

pseudo productivity is often a trap

66:17

because there's lots of stuff you can do

66:18

faster or more phonetically that doesn't

66:20

move the bottom line. So, what was my

66:22

suggestion last week? My suggestion last

66:24

week is have a better scoreboard.

66:26

Measure the things that directly produce

66:28

value. That's what you should care

66:29

about. How many meaningful features were

66:32

shipped to our software clients for

66:35

example? Maybe that's what we care

66:37

about. Now if that requires a lot of LLM

66:39

use or not if you use a lot of tokens or

66:41

maybe use few tokens because you have

66:42

very very careful well constrained

66:46

prompts and that actually makes you more

66:48

effective than the guy that's just

66:49

shooting uh left and right prompts left

66:51

and right and getting clogged in all

66:53

sorts of weird loops. Right? focus on

66:55

the scoreboard that matters, not

66:57

whatever is more approximate uh and

66:59

whatever is easier. So, I think this is

67:02

a great example of the digital

67:03

productivity tool traps we fall into. Be

67:06

very wary of looking at zoomed in speed

67:10

of things and be much more interested in

67:13

the big picture actual production of

67:15

value because what leads there is not

67:17

always doesn't always seem as busy or

67:19

frenetic or fast-paced as you might

67:22

assume. So, I do appreciate that

67:24

article. All right, Jesse, what other

67:25

message do we have?

67:27

>> All right, next match up. We have a note

67:29

from an anonymous student who has a

67:31

question about digital books.

67:33

>> All right, let's see if we can find

67:33

this. All right, here we go. All right,

67:35

so here's the note. It reads, "I'm a

67:38

22-year-old software engineering

67:40

student. I've recently been trying to

67:42

apply your ideas on digital minimalism,

67:44

but I have a question about reading

67:45

digital books. Recently, I started quote

67:48

unquote reading PDFs using a combination

67:50

of visual reading and text to speech,

67:52

which I listen to while following the

67:53

text. This helps me stay focused and

67:55

feel like I absorb more. Here's my

67:57

question. For developing deep focus,

67:59

cognitive improvement, and strong

68:01

critical thinking, is this combined

68:02

method as effective as traditional

68:04

reading, or does it reduce the long-term

68:05

cognitive benefits of reading? Um, all

68:08

right. So I think in this context, yes,

68:11

it is reducing the long-term cognitive

68:14

benefits of reading. What I think is

68:17

happening here is that you are trying to

68:20

reduce the cognitive strain involved in

68:23

consuming the written word. So by having

68:26

your audio system going, you're you're

68:29

uh you're taking the strain off of just

68:30

my mind has to just purely decode these

68:33

symbols and create meaningful

68:34

representations in my brain, you're sort

68:36

of shortcircuiting that. The audio

68:38

allows you to sort of take your foot off

68:40

the cognitive gas pedal and just listen

68:41

for a while and then read for a while

68:43

then listen for a while. It is a loss

68:45

lot less cognitively demanding way to

68:46

consume words. But if you're interested

68:49

in using books to help develop your

68:51

brain, your ability to contemplate,

68:53

which I define to mean your ability to

68:54

actually control and aim your mind's eye

68:56

at particular targets towards useful

68:58

outcomes. If that is your goal, then you

69:01

want the strain. what you're doing would

69:03

be the physical analogy of saying, "Hey,

69:05

good good news." My Navy Seal training

69:08

was really hard. I hate the pull-ups

69:10

they make us do, but I figured out how

69:12

to use um a pulley system, and if I put

69:15

some counterweights on the pulley

69:16

system, these these pull-ups are much

69:17

easier for me to do. I just feel like I

69:18

can do them easier. Well, it defeats the

69:20

purpose of the pull-ups. You want to

69:21

strain your muscle so they get stronger

69:23

so that when you're in deployment, you

69:24

can actually carry that rucks sack for,

69:26

you know, the long hike or whatever the

69:28

analogy here is. So, no, you want to

69:31

confront the actual

69:33

symbols printed on a piece of paper. And

69:36

I want you to change your mindset. That

69:38

strain you feel, think about it like

69:41

Arnold Schwarzenegger and pumping iron,

69:43

loving the strain he feels in his bicep

69:45

when he's lifting. He's like, "Yeah,

69:46

that means I'm getting stronger." So, I

69:48

would much rather you do shorter reading

69:50

sessions at full intensity than longer

69:53

reading sessions where you're trying to

69:54

to reduce the intensity because you're

69:56

not actually getting the cognitive

69:59

benefits of increased contemplation

70:01

ability, which it sounds like you're

70:02

actually trying to get. So, that would

70:04

be my recommendation. There is a magic

70:06

to decoding printed symbols with no

70:09

other types of input that creates deep

70:12

reading processes, strengthens those

70:14

deep reading processes, builds cognitive

70:16

patience with focus, and allows you to

70:18

then reverse those circuits when the

70:20

time comes when you're thinking or

70:21

writing to produce much more original

70:22

thoughts on your own. So, stick with the

70:24

real books. Read less,

70:26

but keep the reading you do at a higher

70:29

level of intensity. He also asked about

70:31

audio books. I think audiobooks are a

70:34

fine way to absorb information, right? I

70:38

think it's, you know, hey, I listen to

70:40

this book on audio, especially like a

70:41

non-fiction book where either it's just

70:43

entertainment or you want to get some

70:44

ideas out of it. But if what you're

70:46

looking to do is increase your cognitive

70:47

capacity, you really want to read

70:49

physical books for that purpose, right?

70:51

So, audiobooks are fine,

70:54

but don't think of audiobooks as your

70:56

primary way of uh building the strongest

70:59

possible cognitive results. It's just

71:02

less strain is involved. So, I'm all for

71:04

audio books. Like half my book sales now

71:05

are audio books, but it shouldn't be the

71:06

only thing you're doing if you're trying

71:08

to train your brain.

71:09

>> Half your book sales are audio books. Is

71:11

>> that crazy?

71:11

>> Wow. I never knew that.

71:13

>> When I first got in the game, it was

71:14

like none. And then when like Audible

71:17

became a thing and Amazon made it

71:19

easier, it was um like a quarter. I

71:22

think I I went back and looked this up

71:23

for digital minimalism, which came out

71:25

in 2019. If you're looking at those

71:26

first year sales, it's like a quarter of

71:28

the sales. Now, if you look at like slow

71:30

productivity, it's 50%.

71:32

>> Wow. Incredible.

71:33

>> So, partially that's a shift in book

71:36

consumption habits and partially it's a

71:39

reality of the fact that we have a

71:40

podcast and I do a lot of podcast and a

71:43

lot of people encounter me through an

71:46

audio format. So, that also that also

71:48

bumps it up. Like I've noticed like if

71:49

you look for sales spikes based on

71:51

particular publicity related events, if

71:55

it's a podcast related event, you get a

71:58

audiobook spike. And if it's a print

72:00

related event, it's more hard covers. Uh

72:04

it's like more evenly balanced. So like

72:06

when I went on like Andrew Huberman's

72:08

podcast on launch day for Slow

72:10

Productivity, that was an audio book

72:12

spike, right? In fact, my Slow

72:14

Productivity was on the Amazon charts

72:16

for multiple weeks, the top 20 most read

72:20

or most bought books of the week, but it

72:23

was the audio version because like

72:25

really I was on a lot of big podcasts.

72:27

But if I get something like uh you know

72:29

like a big article in the New York Times

72:32

or something then you're going to get

72:33

many more hard coverver. So it kind of

72:35

depends on the audience. But a lot of

72:36

our audience now finds me through this

72:38

podcast. So they do a lot more audio

72:39

books. The bad news is that means I have

72:41

to record my own audio books and it's a

72:43

terrible process.

72:44

>> It's terrible.

72:45

>> You explained it on a prior podcast.

72:47

>> I know I'm not looking forward to it

72:48

with the new book. But say Levie. All

72:51

right. Uh we're getting a little shorter

72:53

today since we had a very long

72:54

interview. But I like to end each show

72:56

by briefly checking in with what I've

72:58

been up to recently.

73:00

Let's start with reading. I'm working on

73:02

my fifth book of March. We're recording

73:04

this uh on March 24th. So, I wrote the

73:08

read the first four books. My fifth

73:09

book, as mentioned, is this Brandon

73:10

Sanderson book, Misborn, that my my

73:12

middle son uh has insisted that I read.

73:15

Jesse, I'm about 400 pages into this

73:17

book, which for a Brandon Sanderson

73:19

title means like I'm basically finishing

73:21

up the prologue. Like, I'm just getting

73:24

started. These are these are long books.

73:25

Um, I'm enjoying it though. You know,

73:28

the I hadn't read him before. Uh, I'd

73:31

read I don't read a ton of fantasy. I

73:33

read some Game of Thrones. I read some

73:34

Patrick Rufus. I hadn't read this

73:36

before. I had read a snarky profile in

73:39

Wired. There's this like famous mean

73:42

profile of Brandon Sanderson from Wired

73:44

magazine. Uh, and I had read that and it

73:46

was like really down on his writing. And

73:48

it was like, oh, it's like super

73:49

expositional and he it's explaining

73:52

redundantly how characters were feeling.

73:54

And I was like, oh, maybe this is going

73:55

to be clunky writing. Like he just

73:56

writes these things fast. But I don't

73:58

think so at all. I think it's a a a very

74:00

well-paced adventure style book against

74:02

the backdrop of a complicated world

74:04

building magic system. I was like, this

74:05

is like very well executed. I mean, it's

74:07

not Ursula Gwyn, but it's also not like

74:11

I was expecting after that Wired

74:13

article. I read a lot of thrillers. I

74:14

read a lot of adventure writing. like

74:16

this is like wellcrafted especially for

74:17

a 6 700page book that keep the momentum

74:20

going. Great world building. So I am

74:23

impressed. I was more impressed by

74:24

Brandon Sanderson than that snarky

74:25

article

74:27

>> uh led me to believe.

74:29

>> Uh let's check in on the HQ. I got a

74:32

bunch of stuff Jesse I'm about to bring

74:33

over here. It's our foyer is full. We

74:36

got a video game cabinet in there. We

74:38

got my $500 light is in there. We got a

74:40

new uh a giant rug. So we're going to

74:43

rug the whole floor in there. So, it's

74:45

going to be not so um live and echoey or

74:49

whatever. Uh, I got a lot of stuff. I

74:51

got the

74:53

vintage

74:55

video game maintenance manual from 1980

74:58

for the Galaxian

75:00

arcade cabinet because I'm taking out

75:01

some of the circuit diagrams to frame to

75:03

put up in there. So, like it's I need

75:05

this done by May because that's when my

75:08

semester ends and my sbatical begins.

75:10

>> And how long does your sbatical go for?

75:12

>> Um, it'll be the whole next academic

75:13

year.

75:15

So, I need because I'm going to be

75:16

spending a lot of time in there working

75:17

and so I I I'm I need that to to all get

75:20

done by May. Here's the the open

75:22

question I have and I'll get the advice

75:23

of the listeners is I'm I'm putting

75:25

picture ledges staggered on the wall in

75:28

front of where the computers are where I

75:30

write and and Jesse does video editing.

75:33

What I want to put books on them

75:36

that are going to be like a source of

75:37

inspiration, but I I will take

75:39

suggestions about what type of books to

75:40

put there. My current thought has long

75:42

been, but let me test this with the

75:43

audience. I want to put first edition

75:46

technothrillers

75:48

up on that wall because a I associate

75:50

that with my childhood reading in the

75:52

1990s which was like a lot of u creative

75:56

energy and inspiration the start of like

75:58

my intellectual life and two I think of

76:02

technothrillers I think of this idea

76:04

that writing and thinking about

76:06

technology can be it can be interesting

76:09

or fun or emotive or like really be

76:11

something that that catches people's

76:13

attention. And and I like that, you

76:14

know, I don't want to put just like

76:16

books in the mainstream of what I write

76:18

about like tech criticism up there or

76:19

something like that. I want it to be a

76:20

little bit more oblique. So that's my

76:22

current idea, Jesse. Uh but I'm I'm open

76:25

I'm open to other suggestions if people

76:27

have it. But I want a sort of inspiring

76:28

wall of books with the spotlight for my

76:30

$500 light shining right on them when

76:32

I'm sitting there writing. So that's my

76:33

current thought.

76:34

>> How many books you think?

76:35

>> 10, five?

76:36

>> Yeah, I think 10 maybe. Yeah, I think

76:39

10. I'm not doing first printings, but

76:41

that's too expensive. But first

76:43

editions, that's what I'm thinking.

76:44

First edition hard covers.

76:47

We'll get them up there. They're red

76:49

acrylic

76:50

picture ledges. All this stuff's going

76:52

to be such a pain to hang, but I'm

76:54

having someone come to do it. Just hang

76:55

everything all at once because it's all

76:57

I hate doing that type of thing.

76:58

>> All right. Well, so anyways, send your

77:00

advice to podcast at calal newport.com

77:03

or if you're the Michael Kitton Estate,

77:06

>> I will lovingly put up your first

77:08

editions you send me. They will be well

77:10

displayed. we will we will they will

77:12

find a good home. All right, that's all

77:13

the time we have for today. Um on

77:16

Thursday we have an AI reality check

77:18

episode coming up and then next Monday

77:19

we'll have another main episode. So

77:21

until then, as always, stay deep. Hey,

77:24

if you like today's discussion with

77:26

Arthur Brooks about trying to find

77:28

purpose in our current distracted world,

77:30

you might also like episode 373

77:33

where I reviewed the internet's best

77:35

advice for reinventing your life in a

77:37

short amount of time. It's a great

77:39

practical accompaniment to the

77:41

philosophical ideas we discussed today.

77:43

Check it out. I think you'll like it.

77:45

I've come to believe that taking control

77:47

of your life is a critical first step

77:50

before you can take control of your

77:51

devices.

Interactive Summary

The video discusses the complex relationship between technology, happiness, and finding meaning in the modern world, featuring author and professor Arthur Brooks. Brooks argues that current societal misery, characterized by increased depression, anxiety, and loneliness among young people since 2008, stems not from unique hardships or weaker generations, but from a fundamental "meaning problem." He explains that a post-industrial "algorithmic approach" to life has overemphasized left-brain, complicated solutions, neglecting right-brain needs for love, mystery, and meaning. Smartphones and social media, while not the root cause, exacerbate this by creating a "doom loop" where people use them to escape boredom and anxiety, making things worse. Brooks advocates for seeking a "deep life" by cultivating a sense of "calling" (earning success, serving others, and purposeful leisure) and embracing the "transcendent" (engaging with big, unanswerable questions). He suggests practical steps like disconnecting from devices, consciously seeking boredom, and fostering genuine, unmediated human relationships to counteract the negative effects of a technology-driven, meaning-deprived culture.

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