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David Epstein: Discipline sets creativity free | Full Interview
David Epstein: Discipline sets creativity free | Full Interview
Big Think
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1:01:14 · May 29, 2026
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I'm
David
Epstein.
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0:00
I'm David Epstein.
0:01
I'm the author of the number one New York Times bestseller Range:
0:04
Why Generalist Triumph in a Specialized World.
0:06
And now the new book, Inside the Box: How Constraints Make Us Better.
0:18
Chapter 1, General Magic versus Pixar.
0:21
Why constraints are necessary.
0:25
General Magic was a company
0:27
that was conceived in the late 80s
0:29
and founded by a trio of former Apple employees.
0:33
Two of them had been designers of the original Mac
0:36
and the other had this job inside of Apple.
0:38
His name was Marc Porat
0:40
and his job inside of Apple was looking at the future of technology
0:43
and he was an absolute visionary internally.
0:47
Their innovations were legion.
0:49
I mean they made an early form of USB.
0:51
They made the precursors to emojis, virtual keyboards.
0:55
They created a virtual meeting space where devices could communicate to carry out tasks
1:02
and do commerce.
1:03
And what did they call that place in 1990?
1:06
The cloud.
1:07
Like they were way ahead of all these things.
1:09
In fact, in one case,
1:10
they gave a demonstration of some of their disruptive technology.
1:13
It happened to be a software modem in this case to one of their
1:16
Japanese partners.
1:18
And one of the Japanese engineers started banging his head on the table.
1:21
And so they asked, you know, what's wrong?
1:24
And another one of the Japanese engineers said, "You have just obsoleted Katoan's division."
1:29
So this group of people really saw the future of communications technology.
1:34
And then they formed this massive alliance
1:36
that was a 17 company partnership
1:38
that covered so much of the communications world
1:42
that their meetings had to start with an antitrust lawyer listing all the topics
1:46
that they were not allowed to discuss.
1:48
And Marc Porat the CEO started the process to go public raised more
1:53
and more money expanded the team expanded the office.
1:56
And he said his goal in doing
1:57
that was to create heaven for engineers where they were free to play
2:02
and create with the only limits being their imagination.
2:05
What more could anyone ask for?
2:06
He said and as it turned out a little less freedom was the thing
2:11
they really needed because they could do anything.
2:15
They did do anything.
2:15
The project kept growing
2:16
and growing and every time someone had an idea for something
2:19
that would be cool,
2:20
they made it.
2:21
They started missing deadlines
2:22
because they kept adding everything
2:23
and everything got bigger
2:24
and bigger.
2:25
They didn't have a clear idea of who their customer was.
2:28
So they defined their customer as Joe Six-Pack.
2:31
And when the product finally did come out,
2:33
the first product that ran their operating system was called the Sony Magic Link.
2:37
It was bigger than a phone.
2:38
It didn't contain a phone.
2:39
It was overloaded with so much other stuff.
2:41
It had so many features that the battery life was terrible.
2:44
The user experience was choppy.
2:45
It had a 200page user manual.
2:48
And it sold about 3,000 units in 6 months,
2:50
mostly to people who they knew.
2:52
And pretty soon the company uh was was disintegrating.
2:55
So they just did not keep a boundary on anything they were doing.
3:00
Something that I think was emblematic of the problem,
3:02
there was an engineer named Steve Pearlman
3:04
and his job at General Magic was to create a calendar function.
3:08
So he writes a calendar function.
3:09
It goes from 1904 to 2096.
3:12
And he checks it in and he thinks he's done.
3:14
And then one of the company's leaders comes to him and says, "Hey, Steve,
3:18
you know, somebody might make apps
3:19
that go farther into the future
3:21
or or historical apps.
3:22
You have to make this this calendar bigger."
3:25
And so he redo the calendar and he starts it from year one.
3:29
So now it goes from year one into the future.
3:31
He thinks he's done again.
3:33
And then a member of another team comes to him and says, "Look,
3:36
why are you tying this into an arbitrary religious context?
3:40
You know, starting at year 1
3:41
or year zero. you should start at the beginning of astronomical time.
3:45
So then he goes back again,
3:46
creates a calendar function that starts at the beginning of the universe.
3:49
If he had just stuck between 1904 and 2096,
3:52
it would have been about four lines of code
3:54
and instead it ended up being this long project
3:57
because it expanded like everything did at General Magic
4:00
and it was an enormous waste of time
4:01
and resources.
4:02
They just could not put any constraints on what they were doing.
4:05
When I interviewed a lot of the people who worked there,
4:08
they kept telling me the biggest challenge was figuring out what not to do.
4:12
What to do and what not to do
4:14
because they didn't have a bounding box around what they were doing.
4:18
If General Magic was built for unbridled freedom,
4:21
where people could work on literally anything that their minds could conceive,
4:25
Pixar was the absolute opposite.
4:29
One of the founders, Ed Catmull,
4:31
was going into grad school about the same time as Marc Porat,
4:34
the CEO of General Magic.
4:36
And he had a similarly audacious vision.
4:38
Ed grew up wanting to be a Disney animator,
4:41
but he wasn't that great of a drawer, which is a problem for that.
4:44
And so he instead set the goal of making the world's first fully computer
4:47
animated feature film.
4:49
And this was incredibly audacious.
4:51
When he was starting grad school in the 70s,
4:53
like the cutting edge was like shapes rotating on a black screen.
4:58
And yet 20 years later with the release of Toy Story,
5:01
he did indeed create the world's first fully computer animated feature film.
5:05
And then he made it his mission for the rest of his career to
5:10
create an organization that could do
5:12
that repeatedly.
5:14
And you think of Pixar as this just unbridled imagination, right?
5:17
Because that's how the products look.
5:19
But the way he did
5:20
that was with the religious implementation of constraints
5:24
that were like bumpers in a bowling alley channeling creative ideas into achievement.
5:29
As Ed says, he thinks ideas abound in organizations.
5:32
It's a process for containing them and channeling them that is more rare.
5:36
And so as examples of some of the rules
5:38
that he and his colleagues implemented,
5:39
they had one called the three pitches rule, for example,
5:42
where a director had to bring three different story ideas.
5:46
They could not just bring one because when we have one idea,
5:49
we get anchored on it.
5:50
And they didn't want directors to get anchored on their first idea.
5:53
So they forced them to bring three.
5:55
And once those directors once they picked a story,
5:58
they kept things as small as possible for as long as possible.
6:02
They allowed directors and small teams to spend years in story development.
6:06
Years refining the core of a story,
6:09
slicing it away until it was something simple.
6:11
And it might seem excessive to allow directors
6:14
and a small team to spend years in development,
6:16
but the costs and complexity only explode once they move into production.
6:21
So they wanted to keep them small for as long as possible.
6:24
And during that time,
6:25
they'd have dailies where they show their work on a daily basis
6:29
and get feedback on it.
6:30
Brain trust meetings where they bring in people who haven't been seeing the work
6:34
every day to get outside advice.
6:37
And when I went to meet with Ed
6:39
and we spent uh like 10 straight hours talking about constraints
6:45
that he had implemented
6:47
and he told me about one problem at Pixar
6:49
that he called the beautifully shaded penny problem.
6:51
And this was an issue where directors
6:53
and animators conscientiousness would actually work against them
6:56
and they would end up getting obsessed with say perfecting the shading on a
6:59
penny in the background of a scene
7:01
that viewers would basically never even notice.
7:04
But they would keep working at it, working at it,
7:06
and they'd start losing time and other things that really needed to be done.
7:09
And so, fortunately, Pixar came up with a high-tech solution,
7:13
popsicle sticks velcro-ed to a wall.
7:16
And each popsicle stick represented the amount of work
7:19
that one animator could do in one week.
7:23
And they could keep animating that penny if they wanted,
7:26
but the popsicle sticks would be set up next to all the different things
7:29
that needed to be animated.
7:30
So they could visually see
7:31
that if they wanted to keep working on
7:32
that penny,
7:33
they had to start taking away popsicle sticks from some other character
7:37
that really needed to be animated.
7:39
And making the constraint visual solved the problem instantly.
7:43
In a way, I think this ties back to General Magic.
7:45
Like their main problem was not defining a problem they were solving.
7:51
Their customer was Joe Six-Pack.
7:53
Nobody knew the guy.
7:55
They didn't know what he needed.
7:56
So they never defined a problem they were solving
7:58
which meant that there was never a reason to stop,
8:01
never a reason not to do certain things.
8:03
And it actually plays into a really hardwired human bias.
8:08
It's called subtractive neglect bias.
8:11
We overlook subtractive solutions even when they're obviously the best solutions.
8:17
In in a fun study that demonstrated this,
8:21
adults were given a Lego structure
8:23
and they had to balance a masonry brick on the top of the structure
8:26
so that it wouldn't crush a Stormtrooper action figure
8:28
that was sitting below.
8:30
And they could add
8:30
as many Lego blocks to the structure to bolster it
8:34
as they wanted.
8:35
But they had to pay to add those blocks.
8:37
And yet almost everyone added multiple blocks
8:41
when just taking one away
8:43
that was upsetting the balance would have solved the problem for free
8:46
and immediately.
8:47
And that's what happened at General Magic
8:48
because they didn't put firm constraints in place.
8:52
Every time someone had a cool idea,
8:54
they did it and it just added
8:56
and got bigger and bigger
8:57
and bigger until it lost any sort of core of what they were building,
9:02
who they were building it for, when they were going to get it,
9:05
how much was it going to cost.
9:06
They didn't put tight limits on any of those things.
9:09
So everything just grew
9:10
and grew and grew
9:11
because that's how human psychology works.
9:14
if you don't put constraints in place.
9:17
The subtraction audit is this idea
9:19
that we have to proactively be made to look at things
9:22
that we can take away
9:24
because we have a hardwired cognitive bias always to add to solve problems
9:27
and never to take away.
9:29
So let's say if we're talking about a team, sitting people down,
9:33
going through all your types of meetings, your processes, your obligations, listing things,
9:40
and you will come up with things that exist purely because of momentum, right?
9:44
Maybe they served some purpose in the past,
9:47
but now they're just hanging around
9:49
and adding friction because we never take things away.
9:51
List those things and then stop doing one of them. get together and say,
9:56
"If I had to kill one thing in the next 90 days,
9:59
what would it be?"
10:00
And you'll find something that has outlived its purpose.
10:02
And for individuals, the same is we're always adding adding, right?
10:06
Like everyone keeps a to-do list until it becomes
10:08
so long that they just have to like tear it up
10:10
and and start over again.
10:12
So, what can you take away?
10:14
So, let me let me tell you how my own to-do list process worked.
10:16
In the past, I would put down the things I had to do in
10:18
a day. they'd be overly ambitious
10:20
because of something called the planning fallacy,
10:22
which is we always underestimate how long it takes to get things done.
10:25
And so I'd carry some of them over the next day
10:27
because they didn't get finished.
10:28
And that would add
10:29
and add until the list got longer
10:30
and longer until I would eventually flip it over on my desk
10:32
because it made me
10:33
so anxious to look at it.
10:34
And then as it got longer,
10:35
I would just throw it in the garbage can and start over.
10:38
And so when I did a subtraction audit,
10:40
I was looking at what things really need to get done.
10:43
And so many of the things on the list were not that important.
10:45
So now I start each day one thing at the top of the list
10:49
that if this gets done,
10:51
it will have been a good day.
10:52
Other things can be a bonus, but one main thing.
10:55
And by subtracting all that stuff from my to-do list,
10:57
it allowed me to focus.
10:58
So I wasn't multitasking, which meant I was more productive, less stressful,
11:02
and I knew the thing to focus on.
11:04
And so if we want to have personal satisfaction and contentment,
11:08
we have to start putting some guard rails around our choices.
11:11
I got interested in constraints via a few routes.
11:14
One of which is
11:15
that I felt I needed to be better at them in my own projects,
11:18
like draw better boundaries around my own amorphous ideas
11:20
so that I could actually execute.
11:22
Also, just after more than a decade of reading tons of psychology studies,
11:27
I started to notice all these studies where people would become more creative
11:31
when they were given less choice.
11:33
Like you'd give inventors uh 20 pieces from a set of hundred
11:39
and they would make something more creative than
11:40
if you gave them all 100.
11:42
or people would be able to name more white foods in 20 seconds than
11:46
they could white things.
11:47
Why the form of a haiku liberates creativity rather than stifling it.
11:51
So I was really interested in that.
11:53
And as the cognitive scientist Daniel Willingham says,
11:57
you may think your brain is made for thinking,
11:58
but it's actually made for preventing you from having to think whenever possible
12:01
because thinking is metabolically costly.
12:03
And so given full freedom,
12:06
what you will do is go down what scientists call the path of least
12:09
resistance.
12:10
You will reach for solutions that are familiar, that you have seen before,
12:14
that you have used before.
12:15
And so it is in fact essentially impossible to be creative unless constraints are
12:22
forced upon you that preclude the previous solutions
12:26
that you are used to.
12:27
Let's walk through three examples of that.
12:32
Early in his career, Theodore Geel, or aka Dr.
12:35
Seuss was given a vocabulary list with words for children
12:39
and asked if he could pick about 200 words only
12:43
and write a book with only those from the list.
12:46
And he looks at the list and he complains.
12:49
He complains to his wife.
12:50
He says, "There's no adjectives.
12:51
How can I possibly do this?"
12:53
In fine Seussian form, he compared it to making a strudel without any strudels.
12:59
And then he decides he's just going to take the first two rhyming words
13:03
on the list and whatever they are,
13:05
he's going to write a book focused on those.
13:07
And the first two rhyming words are cat and hat.
13:12
And the rest is history.
13:14
In fact, for Green Eggs and Ham, a subsequent book,
13:18
he wrote that book on a bet
13:19
that he couldn't write a book using only 50 words.
13:22
And obviously, he did so.
13:24
And because he had limited vocabulary,
13:25
it forced him to experiment with rhythm
13:28
and meter and explore in all these ways
13:30
that other writers had not.
13:33
Virginia Wolf is one of the most phenomenal cases of creative breakthrough coming from
13:38
forcibly applying constraints to oneself.
13:41
She used what the psychologist Patricia Stokes calls prelude constraints.
13:46
Basically, Wolf saw that she was stuck in writing in a traditional form,
13:50
even though the modern world was growing more complex
13:53
and needed something different in its novels.
13:56
And so, what she did was she outlined the traditional forms of narrative structure
14:02
and then said,
14:02
"I'm not allowed to use any of them."
14:05
And so, she wrote a book in
14:07
which even the omniscient narrator did not really know the main character very well.
14:13
Even the narrator was searching for
14:15
that person in the way
14:16
that we in our own lives have to take bits
14:18
and pieces of people to try to understand them.
14:20
And this was her first modernist novel.
14:22
It was her breakthrough called Jacob's Room.
14:24
And her next three novels after
14:26
that experiment are three of the hundred greatest novels ever written according to the
14:31
greatest books.org.
14:32
So it was by outlining exactly the old way, blocking herself from it,
14:38
which forced her to come up with something totally new
14:41
and that we now call her stream of consciousness.
14:44
The Japanese novelist Haruki Murakami, who is an international phenomenon,
14:48
didn't start writing until his late 20s.
14:50
And when he started trying,
14:52
he realized he had a generic style that he didn't really like.
14:55
It wasn't unique at all.
14:56
And so in frustration,
14:58
he decided to try writing instead of in his native Japanese in English,
15:02
which he barely knew, and then reverse translating it back into his native Japanese.
15:08
And it gave him this simple, clear,
15:11
kind of mesmerizing rhythmic style that was totally his alone.
15:16
And that's what he's recognized for.
15:17
And that's why his books have been translated all over the world.
15:20
So he said it was
15:21
that forcing that constraint on himself to write in the simple English he knew
15:25
and then translating it backward led to the creation of a completely new
15:29
and unique style.
15:31
So these are examples
15:32
that applying constraints to people even
15:34
when they're arbitrary often instantly make them more creative.
15:39
And this ties back to general magic.
15:41
General magic was built to give people complete freedom.
15:44
No constraints only the limits of the imagination on what people could try to
15:48
do.
15:49
Pixar was built in the exact opposite way.
15:51
People come with creative ideas
15:53
and then they layer constraint after constraint after constraint on top of them to
15:58
make sure that that creative idea is channeled into something manageable
16:02
that they can actually make.
16:08
Chapter 2, the dangers of too much freedom.
16:12
The idea of having too much freedom would have been crazy for most of
16:15
human history where people were born into a role
16:18
and had very little freedom to decide how their life would go.
16:21
But starting with kind of the industrial revolution
16:24
that started to change
16:26
and in fact you can see
16:27
that the idea of too much freedom starts to show up
16:29
as a preoccupation among some of the greatest thinkers basically starting in the late
16:34
19th and then into the 20th century where people like Kierkegaard is writing about
16:38
the dizziness of freedom meaning all of a sudden there's all this choice religion
16:42
and rulers are structuring less of our lives
16:45
so it's more up to us
16:47
or Eric from writing about the urge to escape from freedom meaning
16:51
that we don't feel grounded in a way
16:53
and so we often look to be controlled in ways
16:56
that sometimes can be productive
16:58
or unproductive and in the late 19th century Emil Durkheim decided to do an
17:03
analysis of suicide.
17:06
What Durkheim found was
17:07
that it is actually a sociological phenomenon
17:10
that you could see different social trends increasing
17:13
or decreasing rates of suicide.
17:15
For example, when a country underwent an economic collapse, suicide increased.
17:21
Not a huge surprise.
17:23
But what he also saw was
17:25
that when a country went through an economic boom,
17:28
suicide also increased.
17:30
Anything that unmoored people from their identity anchors,
17:34
the familiar structures they were used to led to an increase in suicide.
17:39
One of the terms Durkheim used was enemy which means essentially rulelessness.
17:45
Whenever society was thrown into tumult in a way
17:48
that removed the normal rules
17:51
and reciprocal obligations between people
17:55
and community grounding and meaning.
17:58
It didn't matter if the economic fortunes were going up or down.
18:00
If it removed those layers of structure,
18:04
it caused more people to be anxious
18:05
and desperate and and to take their own lives.
18:08
And so it was really a completely new way of looking at the phenomenon
18:12
of suicide as a sociological phenomenon.
18:15
But it gets at a much bigger issue
18:17
which is that the drive for ever-increasing freedom
18:20
which seems on its face like it should be an unadulterated good actually comes
18:27
with a lot of collateral damage.
18:28
And we can see
18:29
that today when the richest
18:31
and most free parts of the world,
18:35
the richest and most free areas in world history at
18:37
that have these incredible rates of anxiety
18:41
and depression that you wouldn't expect
18:43
if more freedom and choice made us healthier
18:46
and improved our well-being.
18:48
Jonathan height, the social psychologist,
18:50
he's written several books about human thriving and well-being.
18:53
And that idea of enemy again rulelessness runs through every one of his books
18:59
really.
18:59
As he told me,
19:01
it's not healthy for anyone to have access to everything everywhere all of the
19:05
time.
19:06
We are not equipped to have infinite choice because our brains are comparison engines.
19:11
And so when there are too many choices,
19:13
when we are overwhelmed by choice and possibility,
19:16
we become unable to be happy with our own decisions because we're always comparing.
19:21
Right?
19:21
It's kind of a classic FOMO that's built into our brains,
19:24
but it also occurs at a more sociological level.
19:27
And this gets not just to Jonathan Height's work,
19:29
but also to the political scientist Robert Putnam's work in bowling alone.
19:33
So, as Putnam famously noted,
19:35
your chance of dying in the next year is cut in half
19:40
if you join a single club.
19:42
Cut in half.
19:43
Because social integration, being grounded by obligations to other people,
19:49
not having total freedom over your own time,
19:51
having what's called social control of time in some cases where you have to
19:55
be in a certain place at a certain time
19:56
and have certain reciprocal obligations to other people is hugely important for well-being.
20:02
I mean, that's what Putnam raised the alarm about in his book Bowling Alone.
20:05
that as people,
20:06
as the title indicates,
20:07
as people stopped being in bowling clubs
20:09
and having collective entertainment
20:11
and collective regular meeting times,
20:13
this dissolution of these dense networks of reciprocal obligation would have tremendous effects on
20:21
health,
20:21
well-being, and longevity.
20:24
That book came out in 2000,
20:25
and I would say it looks absolutely prescient in retrospect where we've become more
20:31
virtual.
20:32
We're engaged in what height calls this online,
20:36
these endless cycle of micro dramas populated with a cast of rotating characters,
20:41
a total lack of social norms, few obligations.
20:45
We we've we've often hyper tailored our lives
20:47
so they're totally individualized just for ourselves.
20:50
And that feels like something you would want,
20:52
but it turns out not to help humans thrive.
20:54
You can actually go back to the Soviet Union at one time
20:57
when they tried to change the work week in a certain way to keep
21:00
factories operating all of the time.
21:02
And so they gave people different work weeks with four days of work
21:06
and one day weekend.
21:07
So very rarely did two people have the same work week.
21:10
So it decoupled people's schedules and it was a social disaster.
21:15
They had to completely undo it.
21:17
Now on the other hand
21:18
when there's kind of forced regulation of time like in Sweden you can see
21:23
that in periods when a lot of the country is forced to take time
21:26
off essentially the dispensing of anti-depressants plummets
21:29
and it's proportional to the portion of the country
21:31
that has time off
21:33
and importantly it's true even among retired people.
21:36
So it isn't just about having time for vacation
21:39
or having time not to work.
21:41
It's about the collective use,
21:43
the collective enforcement of using time in a certain way.
21:47
So, we always think we want more choice
21:48
and more freedom over our own time,
21:50
but there's a mountain of evidence showing
21:52
that we actually want to give up some of our autonomy to sync with
21:57
other people,
21:58
preferably at a large scale
21:59
because it's tremendously important for a hyper-social species like humans,
22:03
uh, to to thrive.
22:05
I think one of the ways
22:06
that people have responded to this seemingly infinite choice in the modern world is
22:11
to try to optimize more
22:12
or what psychologists call maximize to make the best of everything
22:16
and to make the best decisions.
22:19
And in fact, we can see in research
22:20
that maximizing behavior which is the attempt to evaluate tons of options
22:26
and and make the best decision is actually on the rise.
22:28
So we know that that's increasing
22:30
as is perfectionism is increasing in many parts of the world.
22:34
But that's actually a problem because maximizing,
22:36
even though there's like tons of influencers who are showing you all these productivity
22:40
hacks and how to maximize
22:41
and how to get everything done,
22:43
it makes us miserable and it's an illusion.
22:46
And as Oliver Burkeman would say,
22:48
they're just trying to help you avoid grappling with your mortality.
22:51
They give you the illusion
22:53
that you can actually get everything done
22:54
if you only have the right system.
22:56
But in fact, what you have to do is face the fact
22:58
that you're mortal.
22:59
You're going to die
23:00
and ruthlessly prioritize based on
23:04
that and set criteria
23:06
as Herbert Simon would have said for satisficing what is a good enough solution
23:11
instead of looking for what is the best.
23:14
Herbert Simon is the thinker who had the biggest influence on this book of
23:17
anyone. and he was trained
23:19
as a political scientist
23:20
but he won the highest award in computer science the touring award
23:24
because he was a founding father of AI.
23:26
He won the lifetime achievement award in psychology
23:28
because he was a founder of cognitive psychology
23:31
and then for good measure he won the Nobel Prize in economics
23:35
and he was what I call an encouragable satisficer.
23:39
Satisficing is a term
23:40
that he developed that means picking something
23:44
that is good enough.
23:46
So it's in contrast to maximizing where you try to consider all of the
23:49
options available and pick the optimal one based on evaluating everything you possibly can.
23:55
And what Simon showed was that we have finite brains.
23:58
And so even though classical economic theory says yes,
24:00
we evaluate everything about every option and make the optimal choice,
24:04
we can't actually do that.
24:05
And when we strive to do it,
24:07
we end up less happy and less satisfied with our decisions.
24:11
So instead, what we should do is proactively satisfice.
24:15
Set criteria for what's good enough and then go with that.
24:19
And Simon did this everywhere.
24:21
He had the same few sets of clothes he wore, same breakfast.
24:25
He had simple decision rules that he used for things.
24:28
You could almost accuse him of having low expectations
24:30
if not for his trophy case,
24:31
which has the highest awards in economics, psychology, and computer science.
24:37
What we want to do is get a system
24:38
that works well enough. think of criteria ahead of time for decisions
24:43
that are good enough
24:44
and then take those
24:46
because you can't realistically optimize
24:48
or maximize anyway.
24:50
We can't grapple with infinite choice and it just makes us miserable.
24:54
So, I don't want to tell you not to be ambitious
24:56
because that's what it sounds like.
24:58
But you should start setting criteria for good enough solutions.
25:02
It's not about having low standards.
25:05
It's about having any standards at all that can possibly be met.
25:08
And it will make you a happier,
25:10
more satisfied person and lead you to prioritize in the realization
25:14
that you simply can't get everything done.
25:15
And what you actually need to do is start cutting stuff out
25:18
so you can prioritize.
25:24
Chapter 3.
25:25
How to fix bottlenecks.
25:28
Eli Goldratt was an Israeli physicist who in the 1970s was studying how atoms
25:34
behave in crystals when a friend of his came to him with a comparatively
25:39
pedestrian problem which was how to increase production at his chicken coop building business.
25:43
The friend had a small business building chicken coops
25:46
and he noticed that even
25:47
when he hired extra help it didn't increase the overall output of chicken coops.
25:52
So he was kind of confused.
25:53
Of course, he asks his physicist friend if he can study the process,
25:58
basically an assembly line, and see if he can improve production.
26:02
And what Goldratt notices is that in the production of chicken coops,
26:06
there's always one step that limits the overall output of the system,
26:10
no matter what's going on anywhere else.
26:12
And this observation became the core of what he called the theory of constraints,
26:17
which is the idea
26:18
that a single bottleneck
26:19
or the single slowest step in a system limits the overall output of the
26:24
system.
26:25
And so in the case of the chicken coops,
26:26
he took one individual worker
26:28
and moved them from one of the steps
26:30
that had plenty of people working at it
26:32
and moved that one worker over to the bottleneck,
26:34
the slowest step, and that tripled the overall output of the system.
26:39
And Goldratt expanded on this idea in a bizarre novel called The Goal,
26:45
in which this fictional plant manager named Alex Rogo has to save a manufacturing
26:50
plant and his marriage.
26:51
And luckily, he uh bumps into his old physics professor who gives him these
26:56
like Socratic lessons.
26:57
You know, go figure, of course, it's his his Jedi like physics professor.
27:01
And it's a very strange book,
27:03
but Alex starts to see the world through these kind of bottleneck glasses where
27:06
when he takes his son's boy scout troop on a hiking trip,
27:10
he realizes that some of the kids are really fast hikers,
27:13
but then there's Herby, this kid who's really slow.
27:15
And so the fast kids can go way ahead,
27:17
but it it doesn't speed up the whole team
27:19
because the whole team can only go at the pace of Herby,
27:21
the slowest hiker.
27:23
And so he decides to take the backpacks
27:25
and redistribute some of the weight
27:26
so the faster kids have heavier packs
27:28
and Herby has a lighter one. slows down the fastest kids
27:31
but speeds up the overall group
27:33
because it speeds up Herby who was the bottleneck.
27:36
So Alex the plan manager starts to see the whole world in this light
27:39
and he saves the plant
27:40
and he saves his marriage
27:41
and again it's this quite strange book.
27:43
That said it sold 10 million copies
27:45
and you know Jeff Bezos made all of his executives read it
27:48
and hosted a full day book club on it.
27:50
It spawned a whole genre of even more bizarre business novels where people get
27:55
these lessons from professors they bump into.
27:58
And it also gave birth to a 1,200-page theory of constraints handbook.
28:02
In that handbook, Goldratt wrote the forward and he asks,
28:06
"Can I condense all of the theory of constraints into one sentence?"
28:12
And he says, "I can do even better than that.
28:14
I can condense it into one word, focus."
28:18
The the system constraint shows you where to focus
28:22
because if you apply effort somewhere else,
28:25
it doesn't change the overall fate of the system.
28:27
Let me give you an example from a theory of constraints,
28:30
a case study that I was learning while I was researching the book.
28:33
And it's about manufacturing, but it's it's an analogy for something more broadly relevant.
28:39
In this case, it dealt with a company
28:42
that made custom gear boxes for industry.
28:45
So, every single one had to be totally customized and they were struggling essentially.
28:50
And so, they decided to do a theory of constraints audit.
28:53
Basically, where is work piling up?
28:55
Why are we not able to produce these more rapidly?
28:58
And it turned out
28:58
that their bottleneck was in the tiny 15 person design office where the designs
29:04
of the gearboxes were made.
29:05
The designers were totally ravaged by multitasking.
29:09
They're changing focus more than 50 times a day.
29:12
And it turns out that that destroys your ability to get stuff done.
29:15
It raises stress levels.
29:16
It makes you worse at everything you do.
29:18
So it led to errors and eventually it led to quitting.
29:21
So they implemented a rule called stop starting and start finishing.
29:27
You were not allowed to take in a new design
29:29
and start it until you had finished one.
29:32
In a few months,
29:33
they were getting three times as many designs out the door.
29:36
And it dropped the total time for the company making a gearbox from 1
29:39
year to 2 months
29:41
because that was the bottleneck.
29:43
But this kind of focus bottleneck shows up all over the place.
29:47
Like modern work is insidious.
29:50
It is just hideously insidious at adding things to our plate.
29:54
More communication, more meetings, more apps, more dashboards, more obligations.
30:00
Very rarely do those things get get taken away.
30:03
So our attention and our ability to focus becomes the bottleneck.
30:06
And unless we're kind of doing what I call subtraction audits,
30:10
that's just going to grow and grow and grow.
30:14
So, I think regularly people should take a look at what they're doing.
30:17
Try to list things that maybe have outlived their usefulness.
30:20
Maybe that's a tool.
30:22
Maybe that's some type of notification.
30:24
Maybe it's some type of meeting.
30:25
List them.
30:26
And if there's something that's outlived its usefulness and is only adding friction,
30:30
take it away.
30:32
Subtract it.
30:33
But we have to do
30:34
that regularly because we we just are not wired to solve problems by taking
30:39
things away. they have to proactively be attuned to it.
30:43
So that theory of constraints,
30:44
that idea of applying effort at the bottleneck can be incredibly impactful even
30:49
if the system is just you
30:51
or an individual.
30:52
For example, there's a woman named Sheila Taormina who in 1992 was a swimmer
30:58
at the University of Georgia
31:00
and she tried to make the Olympic team,
31:01
went to the US Olympic trials, failed to make it, wasn't even close really,
31:06
decided to retire.
31:07
But then for one of her last classes at the University of Georgia,
31:11
she took management 577 in which she learned about the theory of constraints.
31:15
And for her class project,
31:17
she decided to apply the theory of constraints to her own training
31:21
and make a plan to drop 3 seconds from her 200 meter freestyle.
31:25
So she goes, she does like an audit of her training.
31:28
What's my bottleneck?
31:29
She asks.
31:31
And it turns out it's her strength, her power.
31:33
She's only 5'2, which is really small for an elite swimmer.
31:36
and she has an incredible aerobic engine,
31:38
incredible aerobic endurance, but that's what her coaches have her working on,
31:41
aerobic endurance over and over and over, but she's already great at that.
31:45
Whereas, she's limited by her strength, but they don't have her working on that.
31:49
She decides to un-retire.
31:51
She gets a different coach who's willing to work with her.
31:54
Four years later, in 1996, she swims exactly 3 seconds faster,
31:58
makes the Olympic team, becomes a gold medalist in the relay,
32:01
and you can see pictures of her.
32:02
She's like half a foot shorter than her relay teammates.
32:05
She retires again.
32:07
Then she decides to come out of retirement.
32:09
She has this new way of looking at her training
32:11
as what's my limiting factor
32:12
that I should focus on.
32:14
She comes out of retirement, switches to triathlon, wins the US national championship,
32:18
goes to the Olympics, finishes sixth.
32:20
Then she learns fencing
32:21
and horse jumping and goes to the Olympics again in modern pentathlon.
32:25
Becomes the only woman ever to compete in three different sports in four summer
32:30
Olympics. and she was going to retire in 1992
32:34
if not for learning about the theory of constraints in a management class.
32:42
Chapter 4, regaining our focus in an attention economy.
32:47
As Herbert Simon said, in an information-rich environment,
32:52
there's a poverty of whatever it is that information consumes,
32:55
and that thing is attention.
32:57
And I would say we are in a very information-rich environment.
33:00
And so our attention is at risk.
33:03
You can see this in all sorts of work like Gloria Mark who did
33:06
incredible research on attention in people's workplaces.
33:10
When she started about 20 years ago,
33:12
the average worker switched screens about every 2 and 1/2 minutes or so.
33:19
And then by about 2012, it was 75 seconds.
33:23
But later on it was down to about 45 seconds.
33:26
And that's where it stuck.
33:27
So, we switch screens about every 45 seconds.
33:30
And that turns out to be incredibly stressful.
33:33
Like, you can measure this in our immune systems, in our heart rate variability,
33:37
that the more often we're switching,
33:39
the higher our stress level is at the end of the day.
33:41
And the worse we are at the various tasks because multitasking, it turns out,
33:45
is not actually possible.
33:46
It's actually your brain dropping one set of rules essentially
33:50
and having to activate another.
33:52
But there's a residue left on the brain.
33:55
As Dr.
33:55
Mark describes it.
33:56
Your brain is like a whiteboard.
33:57
And when you switch from one thing to another, you erase the whiteboard,
34:00
but the residue stays on there.
34:02
And so the more times you do it during the course of the day,
34:04
the more residue there is
34:05
and the harder it is for you to focus on any one particular thing.
34:09
And so what are some of the recommendations?
34:11
Well, first of all, batching your tasks.
34:14
Dr.
34:14
Mark found that people check email on average about 77 distinct times per day.
34:19
And that's a lot of multitasking.
34:20
That's separate checks.
34:21
That's not numbers of emails.
34:23
And so instead, you want to batch that email if you can.
34:26
So you're you're doing a certain task at a certain time instead of toggling
34:30
between many within one hour.
34:32
Maybe one hours for email
34:34
and the next hours for something else
34:36
so that you're not mixing them all together.
34:37
And I would be really wary about starting your day in your inbox.
34:41
I know that's the first instinct is to go check what's there.
34:44
But you want to be wary of something called the ziggarnic effect,
34:47
which is this psychological effect
34:50
that unfinished tasks leave an imprint on your brain
34:54
that takes some of your cognitive bandwidth until
34:56
that loop is closed,
34:57
until it's finished.
34:59
And because your inbox is probably a source of an unlimited number of unfinished
35:03
things,
35:04
you might not want to be starting your day
35:06
that way because you'll already be using up some of
35:08
that cognitive bandwidth that you might want to focus for other projects.
35:11
Doesn't mean you can't do your email,
35:13
but maybe shift it after you've done some of whatever the most important task
35:17
for the day is.
35:18
Another is that as you're multitasking,
35:21
attention is like a bucket
35:22
and you want to take breaks before
35:25
that bucket overflows or else it takes more time to recover.
35:28
Maybe the thing that scared me the most in all of the research
35:31
that I did for this book was Gloria Mark's research on self interruption.
35:35
That means thoughts that interrupt you when you're trying to focus.
35:39
And what she found was
35:41
that we become accustomed to a certain level of distraction.
35:44
So let's say that's notifications from your phone
35:46
or messages popping up
35:47
or other people interrupting you.
35:50
Eventually, as if you have some kind of internal distractometer,
35:54
you become accustomed to that rhythm.
35:57
And then if you put away all those distractions
35:58
and silence your notifications
36:00
and say,
36:00
"Now I'm going to focus."
36:02
You will simply self-interrupt with intrusive thoughts at the same rate to
36:06
which you've become accustomed.
36:08
So you will not be able to say,
36:09
"Now I'm just going to focus." you you will continue to interrupt yourself at
36:15
that customary rhythm.
36:16
If you're not structuring your focus, then it will be co-opted.
36:19
And this is why it shows in studies of cognitive tests where
36:22
if people have a phone visible,
36:24
even if it's off, even if they can't use it or touch it,
36:27
if it's visible, it decreases their performance on the cognitive task.
36:31
And the more phone dependent they are, the bigger that effect.
36:34
So start by trying to put it out of the room
36:35
when you really have to focus.
36:38
But try to alter your cadence of interruptions
36:41
so that you can train your ability to focus for at least a half
36:45
hour and an hour at a time here
36:46
and there.
36:47
And finally, do something called cognitive outsourcing.
36:50
Put a notebook or a pad on your desk next to you.
36:54
And when some intrusive thought pops up about what you should be checking
36:57
or what you didn't respond to,
36:58
write it down.
36:59
That's called cognitive outsourcing.
37:01
And it takes that intrusive thought out of your brain, puts it somewhere else,
37:04
and improves your ability to focus on the task at hand.
37:07
I think one of the big challenges with modern work is
37:09
that it can become
37:10
so amorphous,
37:11
especially if some of the time you work from home
37:14
that it can kind of fill every gap in your life.
37:15
And that's not really great for your productivity or your your mental well-being.
37:19
And so we should set up structures around our work, both seasons.
37:24
Humans are built for seasonality, not doing the same thing every season,
37:28
and for cycling between times of hard work and and times of rest.
37:32
As the music producer Rick Rubin has noted,
37:34
discipline and ritual is actually the structure
37:38
that then allows people to do their best creative work.
37:41
That they don't want to be totally free in the rest of their life.
37:43
They want to be free within
37:45
that box of discipline
37:46
and ritual that liberates them to create.
37:49
And so, one of the examples of this I love was the time I
37:52
spent with the writer Isabel Allende,
37:54
who is one of the bestselling writers in history.
37:58
She's produced a bestselling book about every year
38:00
and a half for the last 40 years,
38:02
80 million copies in all.
38:04
When she's written about, like in magazine features,
38:06
because she has magical realism in some of her writing,
38:09
she's written about often
38:10
as if she is like a medium who's just these spirits are speaking through
38:15
her and because her first book was called The House of the Spirits.
38:18
But in reality, when I spend time with her,
38:20
she thrives on this rigid ritual and structure and rhythm.
38:26
She starts every single book on January 8th.
38:30
And one of the reasons she does
38:31
that is because then everyone in her life knows
38:33
that they better get what they need from her by January 7th
38:36
because then she's going to be out of touch.
38:39
She goes into a room where she feels her story lives.
38:41
She keeps it austere so there's not a lot of distractions.
38:44
She lights a candle to start her workday.
38:47
She blows it out at the end of the workday to signal the end
38:50
of the day,
38:50
the turning off of her brain.
38:51
She closes the door.
38:52
She doesn't come back in until she starts the next day.
38:55
and she always comes back on January 8th,
38:58
even when she went through a personal tragedy with the death of her daughter
39:01
uh at a young age.
39:02
And she said, "I I don't know if I ever write again.
39:05
I lost the muse.
39:06
I didn't have the inspiration."
39:07
But January 8th rolled around and she said, "Well,
39:10
I have to try because my ritual's coming up."
39:12
And she did it again and got going again and wrote more bestsellers.
39:16
As she told me, without this structure and this rhythm,
39:20
I could not do it.
39:22
So from the outside it seems
39:23
that her creation is this story of boundless creativity
39:28
but really it's one of boundaries
39:30
that channel her focus
39:31
that give her life seasonality
39:33
and ritual that keep bringing her back
39:35
and back and back
39:35
and back again and empower her creativity rather than stifling it.
39:40
I myself as an independent writer in the 21st century have also had this
39:44
experience of living with more freedom
39:46
and autonomy than almost anyone in history.
39:49
But then have had the experience of going back
39:51
and putting some constraints in my life in place
39:54
and those making me thrive in a way
39:56
that total freedom absolutely did not.
39:58
When I started working on range,
40:00
I was working as an investigative reporter also at ProPublica.
40:03
But toward the end of the book,
40:05
I left that job
40:06
because I wasn't going to be able to finish the book.
40:08
I was thinking I'd go back,
40:10
but then the book kind of took on a life of its own
40:12
and and I went on my own.
40:14
And that was a dream in many ways
40:15
because for years it had been my goal to get complete autonomy
40:20
as a professional to be able to spend every minute of my day in
40:24
the manner of my own choosing.
40:26
And so that's what I did.
40:27
I had total freedom.
40:28
Fast forward about two years of
40:30
that and I realized there is absolutely such a thing
40:33
as too much autonomy.
40:35
My life became so atomized.
40:37
I had a million different competing priorities and I had no real ritual.
40:43
So, my workday expanded to fit every moment that it possibly could.
40:47
I had no real seasonality in my life.
40:49
I had no structure.
40:50
I had no rhythm.
40:52
And I wasn't really syncing up with other people either.
40:55
And I realized instead of doing that,
40:57
I actually needed to prioritize ruthlessly
41:01
and focus on a smaller number of things. have a workday
41:04
that started and ended at a certain time,
41:07
have certain seasonality to my projects.
41:10
I needed grounding in my community.
41:12
So, I joined the board of a nonprofit in my community,
41:15
an early childhood education center that served families in need.
41:19
I started going to shuffle dance meetups
41:22
and classes so that I could have embodied experience with strangers on a regular
41:26
basis.
41:27
So that I'm having this embodied experience with strangers
41:30
that I want instead of living totally unto myself.
41:37
Chapter 5, the myth of the lone genius.
41:42
So in most history books or books about innovation,
41:45
individual innovations tend to be identified with individual creators or inventors.
41:51
And I think part of that is because it makes the story tidy, right?
41:53
It's easy to link
41:55
and also often because one individual wins what science historians call a priority dispute.
42:00
Like they fight to be the person who's remembered in the history books,
42:04
but it actually is not a good representation of how innovation really happens.
42:11
The real story is one of what science historians call multiple discovery.
42:16
Multiple discovery is a term popularized by Robert Merton who was kind of the
42:20
founder of the sociology of science.
42:23
And what he noticed was
42:24
that most world changing breakthroughs are arrived at by multiple people in almost the
42:30
same way at almost the same time even
42:33
though those people are working independently.
42:35
And he found that this was the norm with world-changing breakthroughs,
42:39
not the exception.
42:41
The light bulb, the telephone.
42:42
Alexander Graham Bell and Elisha Gray actually filed with the patent office on the
42:46
same day for the telephone.
42:48
The microphone, the camera, the jet engine, the transistor, all of these things,
42:53
even though they're often identified with one individual when the story is told,
42:58
multiple people who were not working together were arriving at them at the same
43:03
time.
43:04
And what that tells us about the history of innovation is
43:08
that we've actually overvalued
43:09
and over prioritized the narrative of the lone genius working on their own
43:13
and breaking through in a way
43:15
that nobody else ever has.
43:16
Because if you look at the actual history,
43:19
there are lots of people converging on a solution.
43:22
So it tells a completely different story
43:24
that there are these boundaries
43:25
that are being set up
43:26
and channeling people toward a breakthrough.
43:28
Not that those geniuses aren't important,
43:31
but that the context that's pushing them toward a certain problem,
43:35
put defining a certain problem
43:37
and putting it in frame is more important than any individual mind.
43:42
Let's walk through three examples of that.
43:45
Dmitri Mendeleev was a Siberian genius chemist.
43:50
And the story that's told about him is that in the winter of 1869,
43:54
he was trying to find an order to all of the elements,
43:57
the chemical building blocks of the universe.
43:59
And that he thought there had to be some order,
44:02
but he just couldn't find it.
44:03
There had to be some method to nature's prodigious madness.
44:06
So he famously spends three days, three sleepless days,
44:10
working to try to order the elements until he can't stay awake any longer.
44:15
He tips forward, his unruly beard folds into his arms,
44:18
and he falls asleep.
44:19
and drifts off into the most impactful nap in human history.
44:23
And in that nap,
44:24
he sees the elements whirling and dancing around him until they snap into columns.
44:29
And then the columns snap together to form a grid.
44:32
And as you move across the grid,
44:34
the properties of elements repeat predictably and periodically, hence the name periodic table.
44:41
So supposedly Mendeleev wakes up and writes it down as a finished system.
44:45
That's the periodic table.
44:46
That story is beautiful.
44:48
The Royal Society celebrated it.
44:51
Uh, the mattress company Casper used it in their marketing.
44:54
Uh, Matthew Walker in his blockbuster Why We Sleep touted it
44:57
as the ultimate proof of our dreaming brain loosed from the bounds of reality.
45:02
It's a beautiful story.
45:04
It is also utterly false.
45:06
That did not happen.
45:07
And the problem with
45:08
that telling is that it obscures the real secret to Mendeleev's success.
45:12
Mendeleev had a publishing contract for a two volume introduction to chemistry textbook.
45:18
He had only gotten eight of the then 63 known elements into volume 1.
45:23
So he had to get the other 55 into volume 2
45:27
and he had to do it in a way
45:28
that made sense to his customers
45:29
which were intro chemistry students.
45:31
So he was not even looking for a fundamental law of nature.
45:34
He was experimenting with a way to save space in his textbook.
45:38
And so he realized he would have to start describing families of elements together
45:42
in order to fit in the space he had allotted.
45:45
And it was in doing
45:46
that as he started sorting elements into families with similarities
45:50
that he noticed the periodic pattern.
45:52
He was a genius.
45:52
He's the one that's credited in history books.
45:55
But he wasn't the only one.
45:56
Not even close.
45:57
In fact, there were zero periodic tables before 1860.
46:02
And then there were six in the next 8 years.
46:04
All of which had the general idea.
46:07
Mendeleev had some advantages, but all of them got the periodic pattern.
46:10
Why would that happen?
46:12
Well, in 1860, there's a meeting in Carl's Rua,
46:15
a chemistry conference that's called for about a little more than 100 people
46:20
because they want to agree on some standards for chemistry.
46:23
Everyone is doing things differently.
46:25
People are using chemical notation differently.
46:27
They're weighing elements differently, all these different things,
46:30
which means that work can't communicate across space
46:33
because people aren't working the same standards.
46:35
And at that meeting, an Italian named Stanislau Kanitsaro says basically,
46:40
"Here's how we're all going to measure the weight of elements from now on."
46:44
And he passes out a pamphlet that says, "Here are the weights."
46:47
He got some of them wrong, but that doesn't matter.
46:48
And here's how we're going to measure them going forward.
46:51
And that instantly allowed work in different labs across the world to communicate across
46:56
space because now people could compare their work to others
47:00
and understand what others were doing.
47:02
If you go back and look at the history of innovation,
47:03
that's often the case
47:04
that setting standards essentially expands the problem solving team
47:10
because it allows work to communicate across space.
47:13
So, it's not very sexy, but it is very often a precursor for breakthrough.
47:18
The famous story of Einstein coming up with special relativity involves his thought experiment
47:23
where he's riding a beam of light.
47:25
And it's a beautiful story,
47:27
but Einstein didn't tell it until decades after it supposedly happened.
47:31
It's really unclear if
47:32
that truly influenced him at the time
47:34
or if it was really useful at all.
47:36
What we know really influenced Einstein was a much more quotidian well-defined problem
47:43
that a bunch of scientists had framed
47:45
and and put into the open for solution.
47:47
And that was called the magnet and wire problem.
47:50
Essentially, it involved moving a magnet
47:53
and a wire past one another to induce an electrical current.
47:56
And the problem was the science explained it differently depending on
48:01
which one was moving.
48:02
And Einstein didn't like that.
48:04
He said, why should the laws of physics be different depending on
48:07
if the magnet is moving past the wire
48:08
or the wire is moving past the magnet?
48:10
And what he ultimately realized is
48:12
that the laws of physics didn't have to be different.
48:14
Our conception of time and space had to change.
48:17
And that's the reality of this breakthrough was
48:19
that other scientists framing a specific problem
48:23
that he could think about led him to something groundbreaking.
48:26
It wasn't the freedom of this thought experiment.
48:28
It was this well-defined problem.
48:30
And that's very often the case in the history of innovation
48:33
that someone just defines a problem really well.
48:36
And that draws a bounding box for people's creative thinking.
48:41
We think of Darwin away on this boat on the Beagle,
48:44
away from other academics, away from other researchers, totally free to think and create.
48:49
And that's how he makes this breakthrough that changes the world.
48:52
But in fact, he was totally enmeshed in the thinking of his day.
48:56
Darwin was not so much a creator as he was a synthesizer.
49:00
He was really taking work that already existed and combining it in new ways.
49:04
There were all these questions
49:06
that his peers were laying out in a really well-defined way. things like,
49:10
why are we finding marine fossils on the top of mountains?
49:14
Why do the bones in the flipper of a whale
49:17
and the wing of a bat
49:18
and the arm of a human have
49:19
so much in common?
49:21
Why are we finding fossils of animals that don't exist on Earth anymore?
49:26
Right?
49:27
If everything was created in a small amount of time,
49:30
we shouldn't be seeing those things.
49:32
In fact, Darwin would correspond with breeders and gardeners.
49:35
He had about 240 pen pals that he would pepper for information.
49:39
And he learned that breeders already had a name for spontaneous traits
49:44
that are passed down from one animal to another.
49:46
They called them sports.
49:48
So Darwin was really taking all this knowledge accumulated in his day
49:51
and these questions that had come up
49:53
and synthesizing them into one coherent hole.
49:57
And that was much more his breakthrough than a single creative leap.
50:00
It was synthesizing the things
50:02
that were available and applying them to the questions
50:05
that other peers around him were were posing.
50:09
As groundbreaking as Darwin's ideas were,
50:12
Alfred Russell Wallace came up with basically the exact same things at the exact
50:15
same time.
50:16
In fact, when he sent some of his writing to Darwin,
50:19
Darwin wrote to his mentor and said, "I have never seen a crazier coincidence."
50:23
Basically, and he said,
50:24
"Everything I've written is going to be out before I publish it."
50:26
Because it was so similar.
50:28
And there was one commonality between these two men,
50:30
which is they had both read the same essay by Thomas Mouthys,
50:34
his essay on population,
50:36
where he argued that humanity would always reach a crisis point
50:41
because the population would expand faster than the food supply could expand to meet
50:47
it.
50:47
And so we would always grow
50:48
and grow and grow
50:49
and then have a crash
50:50
because resources wouldn't keep up with population growth.
50:53
Now, Malthus turned out to be right for some of human history,
50:56
but wrong going forward.
50:58
But it didn't matter that he was wrong.
51:00
He framed this problem in a way that made both Wallace and Darwin,
51:05
who read it at about the same time,
51:08
think about how must species in nature respond to this
51:11
if they start to outgrow the available food supply.
51:15
And the answer was they die.
51:17
They die out and there's competition for limited resources.
51:21
And they both reading that essay,
51:22
which even though it was wrong about the future of humanity,
51:25
defined a problem so well
51:27
that they both said it was almost like a light bulb going on where
51:31
all their past work was channeled into a specific problem.
51:34
Malthus was what I like to call a problem setter.
51:37
I think of setter like the person who sets the ball in a volleyball
51:39
team for the subsequent spike,
51:41
which would be Darwin and Wallace in this case.
51:44
And when I was going through the history of creative breakthrough,
51:47
problem setters don't get a lot of the fame and attention,
51:51
but they are always there just before a breakthrough.
51:54
Someone who defines a problem really well.
51:57
Sometimes they are wrong about what they think their own solution is to it,
52:01
but they're always defining it really well.
52:03
One of the great examples was David Hilbert,
52:04
who's arguably the most influential mathematician of the 20th century.
52:10
And around the turn of the 20th century,
52:11
what he decided to do was basically make a list,
52:15
go survey all the mathematics of the day,
52:17
make a list of about two dozen problems that he thought were important,
52:21
define them really well,
52:23
like really home in on what should the definition of this problem be.
52:27
He he wrote them out in a pamphlet
52:28
and he passed them out at a meeting to his colleagues
52:32
and it set an agenda for math in the 20th century
52:35
and most of those problems went on to be solved.
52:37
As brilliant of a mathematician as he was,
52:39
and he's one of the most brilliant who ever lived,
52:41
it's widely acknowledged that his biggest influence was collecting a set of problems,
52:46
defining them really clearly, and it set an agenda for everything that came since.
52:51
So that's a that's kind of an extreme example,
52:53
but everywhere in history when you see creative breakthrough,
52:56
you see someone just before who defines the problem really narrowly
53:01
and that draw that attracts other minds to the problem.
53:05
The title of one of my favorite scientific papers I read
53:07
while working on this book was called wrong
53:10
but seinal and it went through a history of scientific papers where someone would
53:15
come up with something really intriguing
53:17
but that was wrong
53:19
but because it would lead them to define some certain problem
53:22
or challenge it would instantly draw all these other minds to
53:25
that well- definfined problem
53:26
and that would typically lead to some Nobel level breakthrough.
53:30
So these were problem setters who may have been wrong about their own solution
53:33
but they defined a problem.
53:34
so well that it empowered other people to start working in a productive way.
53:39
Problem defining is a skill that's open to a huge number of people
53:42
and incredibly important.
53:44
And some of that can be
53:45
as simple as going out
53:46
and doing research and characterizing a problem,
53:48
right?
53:48
Like this is the best of market research.
53:50
You go out and you see some problem.
53:52
You observe people in their work world.
53:54
You try to figure out some problem
53:57
that they're all orbiting
53:58
and then define it for them.
53:59
There's one example I loved of this actually.
54:02
There's an engineer named J.
54:04
Shri Seth.
54:05
She worked at the company 3M
54:06
and she's won the Society of Women Engineers Lifetime Achievement Award
54:10
that,
54:10
you know, one of the highest awards you can win.
54:12
And she described her process as mosaic building.
54:16
What she would do is she would go around to colleagues to other inventors,
54:20
kind of interview them about their work, look at their work,
54:22
try to figure out what problem did she think their work might solve,
54:26
and then when she would detect a common problem among a bunch of different
54:29
people who are working apart from each other,
54:31
she would get them in a room together and then pitch them and say,
54:35
"Here's the problem that I think you're all orbiting."
54:39
And she would try to define that problem and say,
54:42
"That's why we should all work on it."
54:43
So I think some of it is just finding out what people are doing
54:47
and trying to as narrowly
54:49
as possible define what problem it might solve
54:52
and being being really specific about it.
54:55
So there's some research in the new book about what's called specific curiosity
54:59
which is when you are not just kind of roaming
55:02
but taking on a certain question
55:04
that intrigues you and going down a rabbit hole on
55:07
that.
55:09
And when you're going down those rabbit holes,
55:10
just looking for some really specific curiosity
55:14
that you can well define
55:15
and even write out
55:16
and refine and pitch to someone um
55:19
that can really prompt other people's creative engines.
55:22
There are other businesses like Tony Fidel who was the lead designer of the
55:26
iPod and he then went on to co-found the smart thermostat company Nest
55:30
and he's obsessed with constraints.
55:32
And so one of the things he made the team at Nest do was
55:35
he made them work inside of a literal box,
55:37
right?
55:37
Right?
55:37
He made them prototype the packaging before they had a product
55:41
because he said only things
55:43
that fit on this package will convey what problem we are solving to the
55:47
customer who sees it.
55:49
So get on this box the features
55:52
that tell the customer what problem of yours are we solving.
55:55
So he was always using these exercises to try to force a team to
55:58
define the problem they were solving.
56:00
I think he mentors entrepreneurs now
56:02
and his his biggest piece of advice is
56:04
that they should write the press release for what they're doing before they start
56:07
doing it.
56:08
And it's really just an exercise that's getting them to try to force them
56:13
to define the problem they think they'll be solving before they start working.
56:17
I think problem setting or this problem definition is a really undervalued skill.
56:21
There's this one famous saying that people don't want a quarterinch drill,
56:26
they want a quarterinch hole in the wall.
56:28
And what it means is
56:28
when you're trying to give people a product
56:30
or service,
56:31
instead of giving them the thing,
56:32
you should understand what is the problem they actually need solved
56:35
and then you can figure out various ways to attack it.
56:38
And I don't think we spend enough time doing this, right?
56:40
We we much more think about coming up with ideas
56:43
as opposed to coming up with problems.
56:45
Let me give you an example.
56:47
General Magic had lots of third party app developers
56:50
because they were creating the app store before the app store.
56:53
And one of those third party app developers was named Jeff Hawkins.
56:56
And Hawkins had created an app for the General Magic operating system called Graffiti.
57:02
And what Graffiti did was
57:02
if you took a stylus
57:03
and made some strokes on a screen,
57:06
it would translate that into letters.
57:08
When it became clear that General Magic was going to fail,
57:13
Hawkins took graffiti and created his own device.
57:16
It had three functions: calendar, contacts, memopad.
57:21
General Magic had all that and a million things more.
57:24
What Hawkins did was he identified a clear customer problem.
57:27
This was busy professionals wanted to sync their calendars
57:30
and contacts and take them on the go.
57:34
And he did three of the million things that General Magic did,
57:38
but put them into a coherent device
57:40
that showed the users why
57:42
and how it was going to solve their problem.
57:44
And that was the Palm Pilot.
57:46
And it became a smash hit in the same era as General Magic.
57:50
Demis Hassabis who was a founder of Google DeepMind
57:54
and recently won the Nobel Prize in chemistry even
57:56
though he's not a chemist said recently
57:59
that the most important skill now
58:01
which is becoming even more important in the age of AI is defining a
58:05
good problem finding a good problem
58:07
and defining it really well
58:09
because with the tools we have
58:10
and the brains we have it's making
58:12
that definition narrow enough
58:14
that you really channel thinking
58:16
and I think that's a skill that's only going to become more important important,
58:19
but it doesn't feel like creation.
58:22
And so we often overlook it.
58:23
This importance of making boundaries around the problem that's trying to be solved.
58:28
And if you look at the history of innovation,
58:30
what the science historian James Burke called the jigsaw of invention,
58:35
you can see one well-defined problem passing to the next in kind of a
58:40
relay race of invention
58:42
that leads to things
58:43
that change the world.
58:44
In Burke's own work, he had a TV show called Connections.
58:47
And one of my favorite episodes was where he draws a line from one
58:51
narrow problem to another
58:52
that goes from medieval castle battlements all the way to film projectors.
58:58
Medieval battlements were shaped a certain way in order to get rid of visual
59:03
blind spots so that you could see who was attacking you.
59:06
And when they got rid of those visual blind spots,
59:08
that meant that people firing cannons had to move farther away basically.
59:12
And when they moved farther away,
59:13
they needed to see farther to where they were going to shoot.
59:16
and eventually it led to film projectors.
59:18
It wasn't just some giant leap,
59:20
but it was one tightly defined problem after another.
59:23
And that is kind of the march of innovation.
59:26
It's not single lone geniuses who just break away from everything in the past.
59:30
It's much more one problem after another.
59:34
And the philosopher of science Thomas Malthus wrote a famous book called the structure
59:39
of scientific revolutions in
59:41
which he talked about paradigm shifts where some creator would come up with something
59:45
that was so different than what came before they would essentially leave people on
59:49
either side of this break speaking different languages like they couldn't even understand one
59:53
another.
59:54
And so that did feel like it's this lone genius breaking through in a
59:57
way that changes everything.
59:59
And that became very famous
60:00
that that term paradigm shift. sped through politics
60:03
and business and everything.
60:04
But later on, Kuhn was working on a book
60:07
that he didn't finish by the time he died.
60:08
But a few years ago, it was just published.
60:11
And in that book,
60:12
he takes a very different tack
60:14
and he talks about the evolutionary nature of discovery.
60:18
And the subtitle of the book, I think, speaks for itself,
60:20
an evolutionary theory of scientific development.
60:23
He had nuanced that view of the paradigm shift into one of successive narrow
60:28
problems that are solved one after another.
60:31
and that lead to breakthrough.
60:32
Of course, that work of his didn't get
60:33
as famous because it's not
60:34
as sexy as the whole paradigm shift thing.
60:36
But the history of innovation really is one narrowly defined problem after another.
60:40
And I think we should all try to do that.
60:42
And whatever we're working on,
60:43
what is the most succinct way
60:46
that I can define the problem
60:47
that I'm trying to work on?
61:05
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