Geoffrey West: The surprising math of cities and corporations

170,954 views ・ 2011-07-26

TED


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Prevoditelj: Mislav Ante Omazić - EFZG Recezent: Tilen Pigac - EFZG
00:16
Cities are the crucible of civilization.
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Gradovi su pravo iskušenje za civilizaciju.
00:19
They have been expanding,
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Oni se šire,
00:21
urbanization has been expanding,
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urbanizacija se širi,
00:23
at an exponential rate in the last 200 years
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eksponencijalno u posljednjih 200 godina,
00:25
so that by the second part of this century,
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tako će do drugog dijela ovog stoljeća
00:28
the planet will be completely dominated
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planetom u potpunosti dominirati
00:30
by cities.
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gradovi.
00:33
Cities are the origins of global warming,
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Gradovi su izvorište globalnog zatopljenja,
00:36
impact on the environment,
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utjecaja na okoliš,
00:38
health, pollution, disease,
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zdravlje, zagađenje, bolesti,
00:41
finance,
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financije,
00:43
economies, energy --
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ekonomije, energiju --
00:46
they're all problems
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to su sve problemi
00:48
that are confronted by having cities.
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s kojima smo suočeni jer imamo gradove.
00:50
That's where all these problems come from.
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Od tuda dolaze svi ti problemi.
00:52
And the tsunami of problems that we feel we're facing
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A plimni val problema koje osjećamo da se s njima suočavamo
00:55
in terms of sustainability questions
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u smislu pitanja održivosti,
00:57
are actually a reflection
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su u stvari refleksije
00:59
of the exponential increase
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eksponencijalnog rasta
01:01
in urbanization across the planet.
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urbanizacije širom planeta.
01:04
Here's some numbers.
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Ovdje su neki brojevi.
01:06
Two hundred years ago, the United States
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Prije 200 godina, Sjedinjene Države
01:08
was less than a few percent urbanized.
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su bile urbanizirane tek nekoliko posto.
01:10
It's now more than 82 percent.
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Sada je to preko 82 posto.
01:12
The planet has crossed the halfway mark a few years ago.
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Planet je prešao oznaku pola puta prije nekoliko godina.
01:15
China's building 300 new cities
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Kina gradi 300 novih gradova
01:17
in the next 20 years.
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u sljedećih 20 godina.
01:19
Now listen to this:
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Sad slušajte ovo:
01:21
Every week for the foreseeable future,
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svaki tjedan u doglednoj budućnosti
01:24
until 2050,
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do 2050.,
01:26
every week more than a million people
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svakog tjedna više od milijun ljudi
01:28
are being added to our cities.
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se dodaje našim gradovima.
01:30
This is going to affect everything.
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To će utjecati na sve.
01:32
Everybody in this room, if you stay alive,
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Svi u ovoj sobi, ako ostanete živi,
01:34
is going to be affected
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će biti pod utjecajem
01:36
by what's happening in cities
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onoga što se događa u gradovima
01:38
in this extraordinary phenomenon.
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u tom izvanrednom fenomenu.
01:40
However, cities,
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Kako bilo, gradovi,
01:43
despite having this negative aspect to them,
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unatoč tom njihovom negativnom aspektu,
01:46
are also the solution.
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su također rješenje.
01:48
Because cities are the vacuum cleaners and the magnets
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Jer gradovi su usisivači i magneti
01:52
that have sucked up creative people,
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koji su usisali kreativne ljude,
01:54
creating ideas, innovation,
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koji stvaraju ideje, inovacije,
01:56
wealth and so on.
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bogatstvo i tako dalje.
01:58
So we have this kind of dual nature.
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Dakle imamo tu vrstu dualne prirode.
02:00
And so there's an urgent need
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I tako postoji hitna potreba
02:03
for a scientific theory of cities.
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za znanstvenom teorijom gradova.
02:07
Now these are my comrades in arms.
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Ovo su moja braća po oružju.
02:10
This work has been done with an extraordinary group of people,
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Ovaj posao je obavljen od strane izvanredne grupe ljudi,
02:12
and they've done all the work,
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i oni su obavili sav posao,
02:14
and I'm the great bullshitter
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a ja sam veliki seronja
02:16
that tries to bring it all together.
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koji pokušava sve to spojiti.
02:18
(Laughter)
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(Smijeh)
02:20
So here's the problem: This is what we all want.
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Tu je problem: To je ono što svi želimo.
02:22
The 10 billion people on the planet in 2050
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10 milijardi ljudi na planetu 2050.
02:25
want to live in places like this,
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želi živjeti na mjestima poput ovog,
02:27
having things like this,
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imati stvari poput ovih,
02:29
doing things like this,
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raditi stvari poput ovih,
02:31
with economies that are growing like this,
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s ekonomijom koja raste toliko,
02:34
not realizing that entropy
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ne prepoznajući entropiju
02:36
produces things like this,
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proizvodeći stvari poput ovih,
02:38
this, this
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ovih, ovih
02:42
and this.
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i ovih.
02:44
And the question is:
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A pitanje je:
02:46
Is that what Edinburgh and London and New York
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kako će Edinburgh i London i New York
02:48
are going to look like in 2050,
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izgledati 2050.,
02:50
or is it going to be this?
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ili će biti ovo?
02:52
That's the question.
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To je pitanje.
02:54
I must say, many of the indicators
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Moram reći, mnogi indikatori
02:56
look like this is what it's going to look like,
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izgledaju ovako i ovako će izgledati,
02:59
but let's talk about it.
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ali popričajmo o tome.
03:02
So my provocative statement
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Dakle moja provokativna izjava
03:05
is that we desperately need a serious scientific theory of cities.
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jest da očajnički trebamo ozbiljnu znanstvenu teoriju o gradovima.
03:08
And scientific theory means quantifiable --
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A znanstvena teorija zači kvantificirati --
03:11
relying on underlying generic principles
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oslanjajući se na opće prihvaćene principe
03:14
that can be made into a predictive framework.
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koji se mogu napraviti u previdljivom okviru.
03:16
That's the quest.
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To je potraga.
03:18
Is that conceivable?
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Može li se to zamisliti?
03:20
Are there universal laws?
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Postoje li univerzalni zakoni?
03:22
So here's two questions
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Dakle tu su moja dva pitanja
03:24
that I have in my head when I think about this problem.
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koja imam u glavi kada razmišljam o ovom problemu.
03:26
The first is:
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Prvo je:
03:28
Are cities part of biology?
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jesu li gradovi dio biologije?
03:30
Is London a great big whale?
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Je li London veliki kit?
03:32
Is Edinburgh a horse?
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Je li Edinburgh konj?
03:34
Is Microsoft a great big anthill?
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Je li Microsoft veliki mravinjak?
03:36
What do we learn from that?
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Što naučimo iz toga?
03:38
We use them metaphorically --
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Upotrebljavamo ih metaforički --
03:40
the DNA of a company, the metabolism of a city, and so on --
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DNK kompanije, metabolizam grada, i tako dalje --
03:42
is that just bullshit, metaphorical bullshit,
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je li to samo sranje, metaforičko sranje,
03:45
or is there serious substance to it?
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ili tu postoji ozbiljna supstanca?
03:48
And if that is the case,
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I ako je tome slučaj,
03:50
how come that it's very hard to kill a city?
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kako to da je jako teško ubiti grad?
03:52
You could drop an atom bomb on a city,
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Možete baciti atomsku bombu na grad,
03:54
and 30 years later it's surviving.
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i 30 godina kasnije on preživljava.
03:56
Very few cities fail.
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Jako malo gradova propadne.
03:59
All companies die, all companies.
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Sve kompanije umru, sve kompanije.
04:02
And if you have a serious theory, you should be able to predict
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I ako imate ozbiljnu teoriju, trebali biste biti sposobni predvidjeti
04:04
when Google is going to go bust.
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kada će Google propasti.
04:07
So is that just another version
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Dakle, je li ovo samo još jedna verzija
04:10
of this?
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ovoga?
04:12
Well we understand this very well.
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Ovo razumijemo jako dobro.
04:14
That is, you ask any generic question about this --
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Odnosno, pitate bilo koje generično pitanje o ovome --
04:16
how many trees of a given size,
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koliko stabala određene veličine,
04:18
how many branches of a given size does a tree have,
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koliko grana date veličine drvo ima,
04:20
how many leaves,
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koliko listova,
04:22
what is the energy flowing through each branch,
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koja energija teče kroz svaku granu,
04:24
what is the size of the canopy,
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koja je veličina nadstrešnice,
04:26
what is its growth, what is its mortality?
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koji je njen rast, koja je njena smrtnost?
04:28
We have a mathematical framework
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Imamo matematički okvir
04:30
based on generic universal principles
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baziran na generičkim univerzalnim principima
04:33
that can answer those questions.
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koji može odgovoriti na ta pitanja.
04:35
And the idea is can we do the same for this?
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I ideja je, možemo li napraviti isto za ovo?
04:40
So the route in is recognizing
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Tako je smjer u prepoznavanju
04:43
one of the most extraordinary things about life,
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jedne od najizvanrednijih stvari o životu,
04:45
is that it is scalable,
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je da je skalabilan,
04:47
it works over an extraordinary range.
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funkcionira preko izvanrednog raspona.
04:49
This is just a tiny range actually:
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Ovo je u stvari samo sitan raspon;
04:51
It's us mammals;
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to smo mi sisavci,
04:53
we're one of these.
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mi smo jedno od ovih.
04:55
The same principles, the same dynamics,
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Isti principi, ista dinamika,
04:57
the same organization is at work
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ista je organizacija na poslu
04:59
in all of these, including us,
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u svemu ovome, uključujući nas,
05:01
and it can scale over a range of 100 million in size.
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i može imati raspon od preko 100 milijuna veličina.
05:04
And that is one of the main reasons
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I to je jedan od glavnih razloga
05:07
life is so resilient and robust --
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zašto je život tako elastičan i robustan --
05:09
scalability.
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skalabilnost.
05:11
We're going to discuss that in a moment more.
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O tome ćemo raspravljati za par trenutaka.
05:14
But you know, at a local level,
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Ali znate, na lokalnoj razini,
05:16
you scale; everybody in this room is scaled.
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skalirate, svi u ovoj sobi su skalirani.
05:18
That's called growth.
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To se naziva rastom.
05:20
Here's how you grew.
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Evo kako rastete.
05:22
Rat, that's a rat -- could have been you.
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Štakor, ovo je štakor -- mogao je biti vi.
05:24
We're all pretty much the same.
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Svi smo mi prilično jednaki.
05:27
And you see, you're very familiar with this.
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I vidite, vi ste upoznati s time.
05:29
You grow very quickly and then you stop.
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Vi rastete jako brzo i onda stanete.
05:31
And that line there
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A ova linija tamo
05:33
is a prediction from the same theory,
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jest predviđanje iz iste teorije,
05:35
based on the same principles,
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bazirano na istim predviđanjima,
05:37
that describes that forest.
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koja opisuju ovu šumu.
05:39
And here it is for the growth of a rat,
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A ovdje je rast štakora.
05:41
and those points on there are data points.
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A ove točke tamo su podatkovne točke.
05:43
This is just the weight versus the age.
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To je samo težina nasuprot godinama.
05:45
And you see, it stops growing.
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I vidite, prestaje rasti.
05:47
Very, very good for biology --
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Jako, jako dobro za biologiju --
05:49
also one of the reasons for its great resilience.
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također jedan od razloga za njihovu veliku otpornost.
05:51
Very, very bad
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Jako, jako loše
05:53
for economies and companies and cities
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za ekonomiju i kompanije i gradove
05:55
in our present paradigm.
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u sadašnjoj paradigmi.
05:57
This is what we believe.
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To je ono što vjerujemo.
05:59
This is what our whole economy
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To je ono što cijelo naše gospodarstvo
06:01
is thrusting upon us,
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gura prema nama,
06:03
particularly illustrated in that left-hand corner:
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posebno ilustrirani u tom lijevom korneru:
06:06
hockey sticks.
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štapovi za hokej.
06:08
This is a bunch of software companies --
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Ovo je gomila softverskih kompanija --
06:10
and what it is is their revenue versus their age --
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i što je njihov prihod u odnosu na njihovu dob --
06:12
all zooming away,
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sve se udaljavaju,
06:14
and everybody making millions and billions of dollars.
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i svatko zarađuje milijune i milijarde dolara.
06:16
Okay, so how do we understand this?
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Dobro, kako mi razumijemo ovo?
06:19
So let's first talk about biology.
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Govorimo prvo o biologiji.
06:22
This is explicitly showing you
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Ovo eksplicitno pokazuje
06:24
how things scale,
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kako stvari skaliraju.
06:26
and this is a truly remarkable graph.
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I ovo je uistinu izvanredan graf.
06:28
What is plotted here is metabolic rate --
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Ono što je iscrtano ovdje jest matabolična stopa --
06:31
how much energy you need per day to stay alive --
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koliko vam je energije potrebno dnevno kako biste preživjeli --
06:34
versus your weight, your mass,
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naspram vaše težine, vaše mase,
06:36
for all of us bunch of organisms.
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za sve nas, gomilu organizama.
06:39
And it's plotted in this funny way by going up by factors of 10,
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I iscrtano je na ovaj zabavan način s faktorom 10,
06:42
otherwise you couldn't get everything on the graph.
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drugačije ne bi sve stalo na graf.
06:44
And what you see if you plot it
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I vidite da ako iscrtate to
06:46
in this slightly curious way
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na malo neuobičajan način,
06:48
is that everybody lies on the same line.
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jest da svi leže na istoj liniji.
06:51
Despite the fact that this is the most complex and diverse system
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Unatoč činjenici da je to najkompleksniji i raznovrsniji sustav
06:54
in the universe,
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u svemiru,
06:57
there's an extraordinary simplicity
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postoji izvanredna jednostavnost
06:59
being expressed by this.
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koja se ovako prikazuje.
07:01
It's particularly astonishing
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Posebno je zadivljujuće
07:04
because each one of these organisms,
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jer svaki od ovih organizama,
07:06
each subsystem, each cell type, each gene,
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svaki podsustav, svaka vrsta čelije, svaki gen,
07:08
has evolved in its own unique environmental niche
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se razvio unutar vlastite jedinstvene okolišne niše
07:12
with its own unique history.
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sa svojom jedinstvenom poviješću.
07:15
And yet, despite all of that Darwinian evolution
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I opet, unatoč toj darvinovoj evoluciji
07:18
and natural selection,
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i prirodnoj selekciji,
07:20
they've been constrained to lie on a line.
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ograničeni su da leže na istoj liniji.
07:22
Something else is going on.
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Nešto drugo se događa.
07:24
Before I talk about that,
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Prije nego što počnem o tome pričati,
07:26
I've written down at the bottom there
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zapisao sam na dnu ovdje
07:28
the slope of this curve, this straight line.
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nagib ove krivulje, ovu ravnu liniju.
07:30
It's three-quarters, roughly,
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Otprilike je tri četvrtine
07:32
which is less than one -- and we call that sublinear.
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što je manje od jedan -- i ja je nazivam sublineranom.
07:35
And here's the point of that.
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A ovdje je važnost toga.
07:37
It says that, if it were linear,
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Pokazuje kako, kada bi bila linearna,
07:40
the steepest slope,
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najstrmiji nagib,
07:42
then doubling the size
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zatim udvostručenje veličine
07:44
you would require double the amount of energy.
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bila bi vam potrebna dvostruka količina energije.
07:46
But it's sublinear, and what that translates into
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Ali ona je sublinearna, i onda se prevodi u
07:49
is that, if you double the size of the organism,
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ovo, ako udvostručite količinu organizama,
07:51
you actually only need 75 percent more energy.
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u stvari vam je potrebno samo 75 posto više energije.
07:54
So a wonderful thing about all of biology
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Prekrasna stvar o svoj biologiji
07:56
is that it expresses an extraordinary economy of scale.
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jest da ona ukazuje na izvanrednu ekonomiju obujma.
07:59
The bigger you are systematically,
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Što ste sustavno veći,
08:01
according to very well-defined rules,
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prema jako dobro definiranim pravilima,
08:03
less energy per capita.
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manje energije per capita.
08:06
Now any physiological variable you can think of,
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Sada bilo koja fiziološka varijabla koje se možete sjetiti,
08:09
any life history event you can think of,
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svaki život povijesnog događaja kojeg se možete sjetiti,
08:11
if you plot it this way, looks like this.
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ako ga iscrtate na ovaj način, izgleda ovako.
08:14
There is an extraordinary regularity.
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Postoji izvanredna pravilnost.
08:16
So you tell me the size of a mammal,
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Znači kažete mi veličinu sisavca,
08:18
I can tell you at the 90 percent level everything about it
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a ja vam mogu reći na razini od 90 posto sve o njemu
08:21
in terms of its physiology, life history, etc.
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u smislu fiziologije, životne povijesti, itd.
08:25
And the reason for this is because of networks.
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A razlog tome su mreže.
08:28
All of life is controlled by networks --
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Sav život se kontrolira od strane mreža --
08:31
from the intracellular through the multicellular
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od intrastaničnih preko multistaničnih
08:33
through the ecosystem level.
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do razine ekosustava.
08:35
And you're very familiar with these networks.
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A vi ste jako dobro upoznati s tim mrežama.
08:39
That's a little thing that lives inside an elephant.
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To je mala stvar koja živi unutar slona.
08:42
And here's the summary of what I'm saying.
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A ovdje je sažetak onoga što govorim.
08:45
If you take those networks,
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Ako uzmete te mreže,
08:47
this idea of networks,
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tu ideju mreža,
08:49
and you apply universal principles,
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i primjenite univerzalne principe,
08:51
mathematizable, universal principles,
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matematičke, univerzalne principe,
08:53
all of these scalings
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sve te skalabilnosti
08:55
and all of these constraints follow,
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i sva ta ograničenja slijede,
08:58
including the description of the forest,
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uključujući opis šume,
09:00
the description of your circulatory system,
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opis vašeg cirkularnog sustava,
09:02
the description within cells.
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opis unutar čelija.
09:04
One of the things I did not stress in that introduction
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Jedna od stvari koje nisam dovoljno naglasio u uvodu
09:07
was that, systematically, the pace of life
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jest da, sustavno, tempo života
09:10
decreases as you get bigger.
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opada kako se povećavate.
09:12
Heart rates are slower; you live longer;
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Otkucaji srca su sporiji, duže živite;
09:15
diffusion of oxygen and resources
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difuzija kisika i resursa
09:17
across membranes is slower, etc.
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preko membrana je sporija itd.
09:19
The question is: Is any of this true
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Pitanje je: Je li išta od ovoga istina
09:21
for cities and companies?
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za gradove i kompanije?
09:24
So is London a scaled up Birmingham,
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Dakle je li London skalirani Birmingham,
09:27
which is a scaled up Brighton, etc., etc.?
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koji je skaliran od Brightona, itd., itd.?
09:30
Is New York a scaled up San Francisco,
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Je li New York skalirani San Francisco,
09:32
which is a scaled up Santa Fe?
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koji je skaliran od Santa Fea?
09:34
Don't know. We will discuss that.
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Ne znam. O tome ćemo raspravljati.
09:36
But they are networks,
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Ali oni su mreže.
09:38
and the most important network of cities
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I najvažnija mreža gradova
09:40
is you.
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ste vi.
09:42
Cities are just a physical manifestation
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Gradovi su samo fizička manifestacija
09:45
of your interactions,
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vaših međuveza,
09:47
our interactions,
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naših međuveza,
09:49
and the clustering and grouping of individuals.
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i klastriranja i grupiranja pojedinaca.
09:51
Here's just a symbolic picture of that.
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Ovdje je samo simbolična slika toga.
09:54
And here's scaling of cities.
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A ovdje je skaliranje gradova.
09:56
This shows that in this very simple example,
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Ovo pokazuje kako je ovo jako jednostavan primjer,
09:59
which happens to be a mundane example
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koji je ujedno i svjetski primjer
10:01
of number of petrol stations
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broja benzinskih stanica
10:03
as a function of size --
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kao funkcije veličine --
10:05
plotted in the same way as the biology --
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iscrtanih na isti način kao biologija --
10:07
you see exactly the same kind of thing.
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vidite potpuno jednaku stvar.
10:09
There is a scaling.
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Postoji skaliranje.
10:11
That is that the number of petrol stations in the city
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Što znači da je broj benzinskih stanica u gradu
10:15
is now given to you
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jednostavno izračunati
10:17
when you tell me its size.
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kada mi kažete njegovu veličinu.
10:19
The slope of that is less than linear.
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Nagib toga je manje linearan.
10:22
There is an economy of scale.
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Postoji ekonomija obujma.
10:24
Less petrol stations per capita the bigger you are -- not surprising.
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Manji broj benzinskih stanica što ste veći -- nikakvo iznenađenje.
10:27
But here's what's surprising.
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Ali evo onoga što iznenađuje.
10:29
It scales in the same way everywhere.
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Skalira na isti način svugdje.
10:31
This is just European countries,
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Ovo su samo europske zemlje,
10:33
but you do it in Japan or China or Colombia,
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ali ako to napravite u Japanu ili Kini ili Kolumbiji
10:36
always the same
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uvijek će biti jednako
10:38
with the same kind of economy of scale
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s istom vrstom ekonomije obujma
10:40
to the same degree.
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do istog stupnja.
10:42
And any infrastructure you look at --
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I svaka infrastruktura koju gledate --
10:45
whether it's the length of roads, length of electrical lines --
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bilo da se radi o dužini cesta, dužini električnih linija --
10:48
anything you look at
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sve što gledate
10:50
has the same economy of scale scaling in the same way.
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ima istu ekonomiju obujma skaliranu na jednak način.
10:53
It's an integrated system
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To je integrirani sustav
10:55
that has evolved despite all the planning and so on.
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koji je evoluirao unatoč svom planiranju i tako dalje.
10:58
But even more surprising
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Ali ono što još više iznenađuje
11:00
is if you look at socio-economic quantities,
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jest ako pogledate socio-ekonomske količine,
11:02
quantities that have no analog in biology,
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količine koje nemaju analogiju u biologiji,
11:05
that have evolved when we started forming communities
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koje su nastale kada smo započeli formirati zajednice
11:08
eight to 10,000 years ago.
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prije osam do 10.000 godina.
11:10
The top one is wages as a function of size
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One na vrhu su plaće kao funkcija veličine
11:12
plotted in the same way.
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iscrtane na isti način.
11:14
And the bottom one is you lot --
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A na dnu je vas puno --
11:16
super-creatives plotted in the same way.
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super-kreativni iscrtani na isti način.
11:19
And what you see
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I ono što vidite
11:21
is a scaling phenomenon.
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jest fenomen skaliranja.
11:23
But most important in this,
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Ali najvažnije u ovome je,
11:25
the exponent, the analog to that three-quarters
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eksponent, analogija na te tri četvrtine
11:27
for the metabolic rate,
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za metaboličnu stopu,
11:29
is bigger than one -- it's about 1.15 to 1.2.
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je veći od jedan -- on je oko 1,15 do 1,2.
11:31
Here it is,
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Tu je,
11:33
which says that the bigger you are
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što nam govori što ste veći
11:36
the more you have per capita, unlike biology --
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više imate per capita, za razliku od biologije --
11:39
higher wages, more super-creative people per capita as you get bigger,
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više plaće, više super-kreativnih ljudi per capita što ste veći,
11:43
more patents per capita, more crime per capita.
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više patenata per capita, više kriminala per capita.
11:46
And we've looked at everything:
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A mi smo gledali na sve:
11:48
more AIDS cases, flu, etc.
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slučajeve SIDE, gripe, itd.
11:51
And here, they're all plotted together.
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I ovdje, su svi grafički prikazani zajedno.
11:53
Just to show you what we plotted,
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Samo da vam pokažem što smo prikazali,
11:55
here is income, GDP --
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ovdje je prihod, BDP --
11:58
GDP of the city --
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BDP grada --
12:00
crime and patents all on one graph.
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kriminal i patenti svi na jednom grafu.
12:02
And you can see, they all follow the same line.
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I možete vidjeti, svi prate istu liniju.
12:04
And here's the statement.
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I ovdje je izjava.
12:06
If you double the size of a city from 100,000 to 200,000,
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Ako udvostručite veličinu grada sa 100.000 na 200.000,
12:09
from a million to two million, 10 to 20 million,
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s milijun na dva milijuna, 10 na 20 milijuna,
12:11
it doesn't matter,
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nema veze,
12:13
then systematically
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onda sustavno
12:15
you get a 15 percent increase
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dobivate 15 postotno povećanje
12:17
in wages, wealth, number of AIDS cases,
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u plaćama, bogatstvu, broju slučajeva SIDE,
12:19
number of police,
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broju policajaca,
12:21
anything you can think of.
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svega čega se možete sjetiti.
12:23
It goes up by 15 percent,
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Ide gore 15 posto.
12:25
and you have a 15 percent savings
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I imate 15 posto uštede
12:28
on the infrastructure.
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na infrastrukturi.
12:31
This, no doubt, is the reason
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To je, nema sumnje, razlog
12:34
why a million people a week are gathering in cities.
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zašto milijun ljudi tjedno odlazi u gradove.
12:37
Because they think that all those wonderful things --
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Zato jer misle kako sve te krasne stvari,
12:40
like creative people, wealth, income --
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poput kreativnih ljudi, bogatstva, prihoda,
12:42
is what attracts them,
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jest ono što ih privlači,
12:44
forgetting about the ugly and the bad.
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zaboravljajući na ružno i loše.
12:46
What is the reason for this?
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Koji je razlog tome?
12:48
Well I don't have time to tell you about all the mathematics,
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Nemam dovoljno vremena za objasniti vam cijelu matematiku,
12:51
but underlying this is the social networks,
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ali u ishodištu svega su društvene mreže,
12:54
because this is a universal phenomenon.
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jer je to univerzalni problem.
12:57
This 15 percent rule
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To pravilo 15 posto
13:00
is true
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je istinito
13:02
no matter where you are on the planet --
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bez obzira gdje se nalazite na Planetu --
13:04
Japan, Chile,
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Japan, Čile,
13:06
Portugal, Scotland, doesn't matter.
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Portugal, Škotska, nema veze.
13:09
Always, all the data shows it's the same,
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Uvijek, svi podaci pokazuju isto,
13:12
despite the fact that these cities have evolved independently.
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unatoč činjenici da su se ti gradovi razvijali neovisno.
13:15
Something universal is going on.
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Nešto univerzalno se događa.
13:17
The universality, to repeat, is us --
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Ta univerzalnost, da ponovim, smo mi --
13:20
that we are the city.
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mi smo grad.
13:22
And it is our interactions and the clustering of those interactions.
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I naše interakcije i klasteriranje tih informacija.
13:25
So there it is, I've said it again.
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Dakle tu je, rekao sam ponovno.
13:27
So if it is those networks and their mathematical structure,
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Dakle, zbog tih mreža i njihovih matematičkih struktura,
13:30
unlike biology, which had sublinear scaling,
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za razliku od biologije, koja ima sublinearno skaliranje,
13:33
economies of scale,
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ekonomijama veličine,
13:35
you had the slowing of the pace of life
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imali biste usporavanje ritma života
13:37
as you get bigger.
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kako rastete.
13:39
If it's social networks with super-linear scaling --
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Ako je to društvena mreža sa super-linearnim skaliranjem --
13:41
more per capita --
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više per capita --
13:43
then the theory says
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onda teorija kaže
13:45
that you increase the pace of life.
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da povećavate tempo života.
13:47
The bigger you are, life gets faster.
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Što ste veći, život postaje brži.
13:49
On the left is the heart rate showing biology.
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S lijeve strane su otkucaji srca koji pokazuju biologiju.
13:51
On the right is the speed of walking
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S desne strane je brzina hodanja
13:53
in a bunch of European cities,
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u grupi europskih gradova,
13:55
showing that increase.
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koja pokazuje to povećanje.
13:57
Lastly, I want to talk about growth.
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Konačno, želim pričati o rastu.
14:00
This is what we had in biology, just to repeat.
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To je ono što smo imali u biologiji, samo se ponavlja.
14:03
Economies of scale
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Ekonomije obujma
14:06
gave rise to this sigmoidal behavior.
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stvara to sigmoidalno ponašanje.
14:09
You grow fast and then stop --
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Rastete brzo i onda stanete --
14:12
part of our resilience.
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dio naše elastičnosti.
14:14
That would be bad for economies and cities.
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To bi bilo loše za ekonomije i gradove.
14:17
And indeed, one of the wonderful things about the theory
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I stvarno, jedna od divnih stvari o teoriji
14:19
is that if you have super-linear scaling
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jest da kada imate super-linerano skaliranje
14:22
from wealth creation and innovation,
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od stvaranja bogatstva i inovacije,
14:24
then indeed you get, from the same theory,
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onda stvarno dobijete, od iste teorije,
14:27
a beautiful rising exponential curve -- lovely.
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prekrasno rastuću eksponencijalnu krivulju -- lijepo.
14:29
And in fact, if you compare it to data,
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I u stvari, ako to usporedite s podatcima
14:31
it fits very well
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jako se dobro poklapa
14:33
with the development of cities and economies.
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s razvojem gradova i ekonomija.
14:35
But it has a terrible catch,
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Ali ima groznu caku.
14:37
and the catch
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A caka je
14:39
is that this system is destined to collapse.
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da je sustav osuđen na propast.
14:42
And it's destined to collapse for many reasons --
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A osuđen je na propast zbog puno razloga --
14:44
kind of Malthusian reasons -- that you run out of resources.
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na neki način Malthusianski razlozi -- ostanete bez resursa.
14:47
And how do you avoid that? Well we've done it before.
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I kako da izbjegnete to? Uspjeli smo prije.
14:50
What we do is,
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Ono što napravimo je,
14:52
as we grow and we approach the collapse,
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dok rastemo i približavamo se kolapsu,
14:55
a major innovation takes place
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velika inovacija se dogodi
14:58
and we start over again,
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i krenemo iz početka.
15:00
and we start over again as we approach the next one, and so on.
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I krenemo iz početka kada se približimo slijedećoj, i tako dalje.
15:03
So there's this continuous cycle of innovation
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Dakle postoji kontinuirani ciklus inovacije
15:05
that is necessary
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koji je nužan
15:07
in order to sustain growth and avoid collapse.
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kako bi se održao rast i izbjegao kolaps.
15:10
The catch, however, to this
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Caka je, kako bilo, kako bi to radilo
15:12
is that you have to innovate
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morate inovirati
15:14
faster and faster and faster.
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brže i brže i brže.
15:17
So the image
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Dakle slika
15:19
is that we're not only on a treadmill that's going faster,
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je da nismo samo na pokretnoj traci koja ide sve brže
15:22
but we have to change the treadmill faster and faster.
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već moramo mijenjati pokretne trake sve brže i brže.
15:25
We have to accelerate on a continuous basis.
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Moramo ubrzavati stalno.
15:28
And the question is: Can we, as socio-economic beings,
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A pitanje je: Možemo li, kao socio-ekonomska bića,
15:31
avoid a heart attack?
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izbječi srčani udar?
15:34
So lastly, I'm going to finish up in this last minute or two
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Na kraju, završiti ću u zadnjoj minuti ili dvije
15:37
asking about companies.
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pitajući se za kompanije.
15:39
See companies, they scale.
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Vidite kompanije, one skaliraju.
15:41
The top one, in fact, is Walmart on the right.
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Onaj na vrhu, u stvari, to je Walmart na desno.
15:43
It's the same plot.
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To je isti grafički podatak.
15:45
This happens to be income and assets
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To ispada da je prihod i imovina
15:47
versus the size of the company as denoted by its number of employees.
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nasuprot veličine kompanije prikazane brojem zaposlenika.
15:49
We could use sales, anything you like.
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Mogli bi upotrijebiti prodaju, što god želite.
15:52
There it is: after some little fluctuations at the beginning,
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Ovdje je: poslije malenih fluktuacija na početku,
15:55
when companies are innovating,
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kada kompanije inoviraju
15:57
they scale beautifully.
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one skaliraju prekrasno.
15:59
And we've looked at 23,000 companies
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A mi smo gledali 23.000 kompanija,
16:02
in the United States, may I say.
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u Sjedinjenim Državama, ako mogu reći.
16:04
And I'm only showing you a little bit of this.
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A ja vam pokazujem samo maleni dio toga.
16:07
What is astonishing about companies
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Ono što je zadivljujuće o kompanijama
16:09
is that they scale sublinearly
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jest da one skaliraju sublinerano
16:12
like biology,
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poput biologije,
16:14
indicating that they're dominated,
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indicirajući da su dominantne,
16:16
not by super-linear
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ne po super-linearnim
16:18
innovation and ideas;
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inovacijama i idejama;
16:21
they become dominated
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one postaju dominantne
16:23
by economies of scale.
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ekonomijom obujma.
16:25
In that interpretation,
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U toj interpretaciji,
16:27
by bureaucracy and administration,
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od birokracije i administracije,
16:29
and they do it beautifully, may I say.
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i one to rade prekrasno, ako mogu reći.
16:31
So if you tell me the size of some company, some small company,
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Ako mi kažete veličinu neke kompanije, neke male kompanije,
16:34
I could have predicted the size of Walmart.
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mogao bih predvidjeti veličinu Walmarta.
16:37
If it has this sublinear scaling,
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Ako ima to sublinerano skaliranje,
16:39
the theory says
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teorija kaže
16:41
we should have sigmoidal growth.
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trebali bismo imati sigmoidalni rast.
16:44
There's Walmart. Doesn't look very sigmoidal.
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Tu je Walmart. Ne izgleda jako sigmoidalno.
16:46
That's what we like, hockey sticks.
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To je ono što volimo. Štapovi za hokej.
16:49
But you notice, I've cheated,
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Ali primjetiti ćete, varao sam,
16:51
because I've only gone up to '94.
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jer sam otišao samo do '94.
16:53
Let's go up to 2008.
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Idemo do 2008.
16:55
That red line is from the theory.
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Ova crvena linija je iz teorije.
16:58
So if I'd have done this in 1994,
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Dakle da ste ovo napravili 1994.,
17:00
I could have predicted what Walmart would be now.
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mogao sam predvidjeti kakav će Walmart biti sada.
17:03
And then this is repeated
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I onda se ovo ponavlja
17:05
across the entire spectrum of companies.
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po cijelom spektrumu kompanija.
17:07
There they are. That's 23,000 companies.
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Tu su. To je 23.000 kompanija.
17:10
They all start looking like hockey sticks,
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Sve počinju izgledati kao štapovi za hokej,
17:12
they all bend over,
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sve se savijaju,
17:14
and they all die like you and me.
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i sve umiru kao vi i ja.
17:16
Thank you.
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Hvala vam.
17:18
(Applause)
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(Pljesak)
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