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First Understand, Then Improve | Daniel Johnson | TEDxYale


[Music]

today I want to talk to you about a

simple thing simplicity itself you see

in economics one of our guiding

principles is Occam’s razor

not bad Occam’s razor Occam’s razor is

the principle that if two explanations

of reality two descriptions of the world

around us two predictions of the future

are equally good then let’s choose the

simpler explanation the reason for that

principle is partly for our own sanity

that is it’s partly about the cognition

processes that you just heard Shelley

talk about we need to filter the world

because frankly there’s just too much

input with billions of people making

trillions of choices each and every day

it’s frankly impossible for a single

person a single computer or even a

single policy regime to be able to

decipher what’s going on and then to

decide what we should do to enable

better choices in the future so we have

to make some assumptions we have to

simplify the challenge of course is

where do you simplify people have a

tendency to simplify in the wrong places

and economists mostly being people also

have a tendency to simplify in the wrong

places you’ve all heard the jokes right

the classic joke is an economist a

chemist and a physicist are all stranded

on a deserted island and all they have

are the canned food salvaged from their

wreck the chemist says let’s submerge

the cans in salt water eventually

corrosion will eat through the metal and

we’ll be able to eat the contents the

physicist says that’ll take way too long

instead let’s launch the cans in the air

with sufficient force so that when they

come down from the app

of their trajectory they’ll land on the

beach smash open and we can get at the

contents The Economist says you’re both

missing the easy answer assume that we

have a can opener you should laugh it’s

a ridiculous response and yet it’s a

very human response why don’t we just

assume we already have the answer that

will save us that the arduous task of

problem-solving this indeed is the

fundamental challenge of simplicity how

do we make the right assumptions so that

we can see the situation clearly and not

just simplistically how do we assume

simplicity wisely as opposed to

foolishly this is exactly the task that

faces every innovator every entrepreneur

when they come to my class on innovation

the first thing I tell them is forget

about changing the world for now just

understand it try to describe it as

richly as fully as you can the world is

an incredibly complicated tapestry if

you try to pull out one string and say

this will do it the whole tapestry comes

apart so instead first understand and

then try to improve but where do we

start first you have to understand the

physical environment the social

environment the preferences of the

people involved if you don’t understand

those you’ll definitely come up with a

non solution but worse than that you

might actually solve a non problem that

is you might actually fix part of the

situation that people actually enjoyed

this is the challenge how do we simplify

well one of my favorite stories is

attributed to Niels Bohr Nobel Prize

winner when he was an undergraduate at

the University of Copenhagen apparently

one of the questions on his final exam

was

describe how you would determine the

height of a skyscraper using a barometer

his response probably apocryphal is so

beautiful I tell it to everyone I can

his response apparently went like this

to be boring you could measure the air

pressure at ground level then walk up

the stairs to the top of the skyscraper

measure the air pressure there and then

convert the difference in millibars into

feet that’s the answer

alternatively if you wanted to be a

little bit more creative you could walk

up to the top of the skyscraper drop the

barometer off measure the time it took

to hit the ground and calculate the

distance based on the appropriate

physics equation unfortunately you broke

your barometer alternatively you could

set the barometer on end measure its

height measure the length of its shadow

measure the length of the skyscraper

shadow and it’s a measure it’s simply a

question of proportional geometry

proportional math to figure out how tall

the skyscraper must be alternatively you

could tie a short piece of string to the

barometer swing it like a pendulum at

ground level swing it like a pendulum at

the top of the skyscraper and the

difference in the gravitational

restoring force will tell you the height

of the building alternatively the

simplest answer is simply walk to the

building custodians door knock and say

I’ll give you this barometer if you tell

it turns out that in order to be simple

you have to know a lot you have to know

all the appropriate pieces of the

environment you have to know science you

have to know social science you have to

know humanities you have to know oh my

gosh it’s hard to be simple and that’s

exactly the trap that an undergraduate

student and I walked into nearly 20

years ago when we first started thinking

about modeling the Olympic Games you see

everyone thought they knew how and why

each individual nation would win Olympic

medals if you talk to politicians it was

all about patriotism pride if you talk

to newscasters it was all about

competitive training regimes and your

nutritional schedule compared to other

athletes but for us the answer had to be

simple not so simple as simply

patriotism that seems foolishly simple

but there had to be a mathematical

simple model for us as economists that

means putting in economics as the stuff

that causes Olympic medals so where does

an economist begin well an economist

always begins with income for surely

rich nations win more medals than poor

nations don’t they to an economist that

seems like an obvious assumption I mean

first of all they can afford better

equipment better training better

nutrition but even at a baseline level

the populations from which those

athletes hail must surely have better

infrastructure better health care

actually just more ability to focus on

athletics as opposed to getting by until

the next day

so surely rich nations should win more

medals than poor nations no but to stop

there would be foolishly simple so what

else could matter

well we hypothesized let’s keep it to a

handful let’s say income matters

probably population matters if you’re a

large nation there’s a larger likelihood

that there will be world-class athletes

within that population and furthermore

political structure might matter the

ability for your country to marshal

resources together for a particular goal

climate could matter cold nations versus

hot nations and of course whether you’re

hosting the games or not should matter

because the home-field advantage is well

documented in sport Olympic or not

now the hilarious part is in economics

in order to write a simple bottle it has

to look like this this believe it or not

is an incredibly simple model so simple

that my co-author ifer Ali and I were

deemed kind of professional

laughingstocks

how could you even begin to believe that

this will do anything far too simple

what are you just assuming we have a can

opener so we took a geeky amount of

pleasure spending weeks months

collecting all the data on all past

Olympic Games trying to test our

assertions how did we do

well astonishingly well it turns out

that we got just the right combination

of knowledge simplicity and frankly luck

so that in that first run of the model

just before the 2000 Sydney games we

successfully predicted the Olympic medal

count with 87 percent accuracy that

actually just started the story because

over the succeeding two decades it’s

gone up to 97% what does this tell you

it doesn’t tell you that I’m smart it

just tells you that I did a lot of

research and I got really lucky but

together the two of us I Frawley and I

discovered some important truths we

discovered that income frankly was even

more important than we had thought it

for example Africa while it has 1/6 of

the world’s population has historically

only 1/2 percent of all Olympic medals

the United States while it has perhaps 4

percent of the world’s population

historically way over performs at the

Olympics 17 percent roughly of all

Olympic medals ever a lot of that

student coming if you count down nations

from the top of the medal standings if

you count down ten nations they’re all

rich and those ten win a full one-third

of all Olympic medals on offer in any

games that should sober you is the

playing field truly level we found that

on average a nation with $2,000 more in

GDP per capita income per capita if you

wish wins an additional Olympic medal

but of course income isn’t the only

thing that matters population matters to

an additional 10 million citizens adds

on average an additional Olympic medal

political structure works matters I say

works it turns out that single party

regimes authoritarian regimes military

regimes do much better than democracies

at the Olympic Games this is not policy

advice

I’m simply saying that it’s historically

true and of course the single most

important factor is are you hosting the

games the host nation traditionally wins

20 medals more than they would have won

were they not hosting the games but

think about that how often does a nation

talk about poverty as if I know I talk

about the income gap between rich and

poor as though I’ve personally been poor

and and that’s not true I mean I was a

graduate student so I do know what it

means to live on ramen noodles and

frozen peas but that’s not being poor

that’s being temporarily financially

constrained that’s different the only

way I know about poverty is through my

research so if you’ll permit me let’s

build a model together about the income

gap I know for example that if you lined

up the u.s. population from poorest

household to richest household on a

football field the median household in

the United States would earn about fifty

six thousand dollars that fifty six

thousand dollars would translate into a

stack of hundred dollar bills about two

and a quarter inches high compare that

to the poverty line which in the United

States right now is about seventeen

that’s maybe two thirds of an inch of

hundred-dollar bills and as you run

upfield toward the rich end of the

income distribution the 95th percentile

the five-yard line has an income in

excess of $200,000 for a household for a

family of four that’s about a stack of

eight inches of hundred-dollar bills as

you approach the goal line the richest

household in America

that stack of hundred dollar bills is

measured not in inches not even in feet

its measured in miles and this is for

the United States one of the richest

nations in the history of the world how

badly does it reset your mental model if

you realize that China’s median

household is almost exactly where our

poverty line is that is half the

households in China are living on less

than that two thirds of an inch and

China’s doing pretty well actually the

Democratic Republic of the Congo is

ninety five percent lower than that the

median household in the DRC is living on

three hundredths of an inch $800 a year

and those are dollars corrected for

purchasing power parity it really is as

if they’re living on $800 a year how is

that even possible I would argue it

forces you to reset your assumptions it

forces you to rethink your mental frame

what do you need and what do you want it

forces you to get really simple if you

only have $800 a year

it forces you to think very clearly

about what it means to be rich about

what it means to be hungry about what it

this mind resets this checking of your

internal assumptions is something I

would encourage you to do not just now

but regularly you see the theme of my

talk is simplicity and we make simple

assumptions all the time why well partly

because it’s fun who doesn’t like to

make a paper airplane simple models have

a have a joy about them they have a

finiteness about them they have a toy

like quality about they make life easy

they’re also extremely dangerous because

simple assumptions are contextual they

depend on the audience while this is a

great model for my children it would be

a horrible model for planning new

traffic patterns at O’Hare Airport think

about your assumptions before you

address the problem or the audience so

in the context of today’s suite of TEDx

talks I would encourage you to mind the

gap not just in terms of boarding a

subway train mind the gap between your

assumptions and reality mind the gap

between rich and poor think about the

gaps in electrical coverage in parts of

the world that you and I have not

visited think about the gaps in the

roads that have been washed away think

about the gaps in the availability of

clean water or vaccinations mind the gap

because it’s huge do you know for

example that the median household

globally earns ten thousand dollars a

year that’s a household folks if your

household earns more than thirty four

thousand dollars a year you’re in the

richest 1% so

do you mind the gap I would encourage

you to mind it daily and yet don’t mind

it so much that you can’t collaborate to

close it that you can’t reach a hand

across it mind the gap so that it

bothers you but doesn’t paralyze you

keep the simple model when you need it

but remember to constantly refresh check

verify your assumptions do I mind the

gap every day that’s what gets me up and

makes me go to work but in my mind the

gap is important because it’s worth

bridging mind the gap and let’s get out

there and build bridges thanks

[Applause]

you [Music]

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