The best stats you've ever seen | Hans Rosling

Summary

El script presenta una reflexión sobre la importancia de la comunicación y visualización de datos estadísticos para comprender el desarrollo global y la salud pública. El orador comparte su experiencia al enseñar a estudiantes suecos y descubre que, a pesar de su alto rendimiento académico, tienen preconceptos y conocimientos limitados sobre la realidad mundial. Utiliza herramientas de software para ilustrar cómo han cambiado las tasas de fertilidad y esperanza de vida en diferentes países desde 1960, destacando la rápida transformación de países como China y Vietnam. El discurso aboga por la necesidad de hacer que los datos estadísticos públicos estén más accesibles y fáciles de entender, proponiendo una búsqueda y visualización mejorada para fomentar una mayor comprensión y acción. Finalmente, se destaca la creciente conectividad a Internet y su relación con el crecimiento económico, sugiriendo un futuro donde la brecha entre países se está cerrando.

Takeaways

• 📈 **Desarrollo global y salud:** El hablante impartió cursos de desarrollo global y salud en el Instituto Karolinska después de 20 años de estudio sobre la hambruna en África.
• 🧑‍🎓 **Nivel de conocimientos:** Los estudiantes de primer año con las mejores calificaciones en Suecia no conocían más que un chimpancé sobre la mortalidad infantil en el mundo.
• 🌍 **Concepción del mundo:** Los estudiantes veían al mundo dividido en 'nosotros' y 'ellos', con prejuicios sobre la vida y la familia en Occidente y en el llamado 'tercer mundo'.
• 📊 **Cambios demográficos:** Se muestra cómo la fertilidad y la esperanza de vida han cambiado desde 1962, con un enfoque en la mejora en países industrializados y desarrollos en los países en vías de desarrollo.
• 💉 **Importancia de la planificación familiar:** La planificación familiar ha tenido un impacto significativo en la reducción de la fertilidad en varios países, como Bangladesh.
• 📉 **Epidemia de VIH/SIDA:** En la década de 1990, la epidemia de VIH/SIDA afectó negativamente la esperanza de vida en los países africanos.
• 🌐 **Distribución de ingresos:** La brecha entre ricos y pobres se ha reducido, y la mayoría de la población mundial se encuentra en la clase media.
• 🔄 **Cambios económicos:** Se destaca la transformación económica en Asia y la transición de economías planificadas a economías de mercado, como en Vietnam.
• 📌 **Necesidad de contextualización:** Las soluciones para el desarrollo deben ser altamente contextualizadas, ya que las condiciones varían enormemente incluso dentro de los países.
• 🗂️ **Acceso a datos:** Se aboga por la necesidad de hacer datos públicos más accesibles y fáciles de entender a través de herramientas de diseño y animaciones.
• 🌟 **Gapminder:** Se menciona la organización Gapminder, que trabaja en la creación de software para visualizar y hacer accesible la información estadística global.

Q & A

¿Cuál fue la tarea que se le asignó hace diez años?

La tarea asignada fue enseñar desarrollo global a estudiantes universitarios suecos.

¿Por qué se sintió nervioso al comenzar a enseñar?

Se sintió nervioso porque pensó que los estudiantes, que venían con las mejores calificaciones del sistema de educación de Suecia, podrían ya saber todo lo que él pretendía enseñarles.

¿Cuál fue la pregunta del pretest que le enseñó mucho sobre los conocimientos de los estudiantes?

La pregunta del pretest que le enseñó mucho fue identificar qué país tenía la mayor mortalidad infantil entre cinco pares de países.

¿Qué conclusión llegó al respecto de los conocimientos de los estudiantes sobre el mundo?

Llegó a la conclusión de que los estudiantes suecos de nivel superior saben estadísticamente significativamente menos sobre el mundo que los chimpancés.

¿Qué problema identificó con los estudiantes más allá del desconocimiento?

Identificó que el problema no era el desconocimiento, sino las ideas preconcebidas que tenían.

¿Cómo representó visualmente la información sobre la mortalidad infantil y la tasa de fertilidad en su software?

Representó visualmente la información utilizando burbujas, donde el tamaño de cada burbuja representaba la población de un país, y los ejes mostraban la tasa de fertilidad y la esperanza de vida.

¿Qué cambios ha habido en el mundo desde 1962 en términos de la vida y la familia?

Han habido cambios significativos en términos de que los países en desarrollo han ido reduciendo la tamaño de las familias y aumentando la esperanza de vida, acercándose así a los niveles de los países industrializados.

¿Cómo ha cambiado la distribución de ingresos en el mundo?

La distribución de ingresos ha cambiado de una forma en que ya no hay un gran vacío entre ricos y pobres; en cambio, la mayoría de la población está en la mitad media, y los ricos y los pobres representan el 20% de la población cada uno.

¿Qué impacto ha tenido la planificación familiar en Bangladesh en la década de 1980?

La planificación familiar promovida por los imanes en Bangladesh en la década de 1980 ha llevado al país a mejorar significativamente su tasa de fertilidad y esperanza de vida.

¿Por qué es importante contextualizar la mejora del mundo?

Es importante contextualizar la mejora del mundo porque hay una gran variedad de situaciones dentro de cada país y regiones, lo que significa que las soluciones deben ser adaptadas a las necesidades específicas de cada contexto.

¿Qué es Gapminder y qué objetivo tiene?

Gapminder es una iniciativa sin fines de lucro que busca vincular datos con diseño para hacer que la información estadística sea más accesible y fácil de entender a través de animaciones y representaciones gráficas.

¿Qué cambios se esperan en el futuro en cuanto al acceso y uso de datos estadísticos?

Se esperan cambios significativos en el futuro, con un mayor acceso a bases de datos y la capacidad de buscar y visualizar datos de manera más eficiente, lo que permitirá a los usuarios, desde estudiantes hasta empresarios, entender mejor los cambios en el mundo.

Outlines

00:00

😀 Estudiantes suecos y conocimientos globales

El primer párrafo aborda la experiencia del hablante al enseñar desarrollo global a estudiantes suecos en la Universidad Karolinska Institute. Se destaca la sorpresa del hablante al descubrir que, a pesar de los altos niveles académicos de los estudiantes, estos no poseen un conocimiento significativo sobre la mortalidad infantil en diferentes países. La discusión se enfoca en la importancia de las ideas preconcebidas y la necesidad de comunicar datos precisos sobre la salud infantil y el desarrollo mundial. Se utiliza una herramienta de software para visualizar la relación entre la tasa de fertilidad y la esperanza de vida en distintos países a lo largo del tiempo.

05:01

🌟 Cambios sociales y económicos en Asia

El segundo párrafo compara la evolución social y económica de Vietnam y Estados Unidos durante la guerra del Vietnam. Se observa cómo la planificación familiar y la economía de mercado llevaron a Vietnam a mejorar su esperanza de vida y reducir su tamaño familiar. La discusión se amplía para abordar la distribución de ingresos a nivel mundial, destacando la disminución de la brecha entre ricos y pobres y la importancia de la ayuda en el contexto de la creciente población con ingresos medios. Se utiliza visualización de datos para mostrar la variación de ingresos y cómo ha cambiado la distribución de la población en función de sus niveles de ingresos.

10:01

🌍 Diversidad y desarrollo en los países africanos y latinoamericanos

El tercer párrafo explora la diversidad dentro de los países africanos, latinoamericanos y árabes, destacando las diferencias significativas en términos de desarrollo y ayuda. Se resalta la importancia de no generalizar los problemas o las soluciones, ya que los países y regiones tienen necesidades y realidades únicas. La discusión se enfoca en la necesidad de una abordaje contextualizada para la mejora global y la importancia de la inversión en la salud y la educación como medios para el desarrollo sostenible.

15:01

📈 Acceso y visualización de datos globales

El cuarto párrafo aboga por la necesidad de hacer pública y accesible la información estadística para que los estudiantes, políticos y sector empresarial puedan utilizarla para entender los cambios globales. Se describe el esfuerzo de Gapminder para crear herramientas de visualización de datos que permitan a los usuarios entender de manera más clara y detallada la información. Se destaca la importancia de hacer que los datos sean buscables y cómo esto podría transformar la forma en que se abordan los problemas globales.

20:04

🌐 Internet y acceso a la información como herramientas de desarrollo

El último párrafo enfatiza la importancia del acceso a Internet y la tecnología como factores clave en el desarrollo económico y social de los países. Se muestra cómo el aumento del número de usuarios de Internet se correlaciona con el crecimiento del PIB per cápita. Se discute la perspectiva de un mundo en el que la información y la tecnología están más disponibles y cómo esto podría contribuir a un mayor entendimiento y mejora de las condiciones globales.

Keywords

💡Desarrollo global

El desarrollo global es un concepto central en el video, que se refiere al crecimiento y mejoramiento de las condiciones de vida en todo el mundo, teniendo en cuenta aspectos económicos, sociales y ambientales. En el video, el hablante comparte su experiencia al enseñar sobre este tema a estudiantes universitarios suecos, destacando la importancia de la educación para comprender y abordar los problemas globales.

💡Mortalidad infantil

La mortalidad infantil es la tasa de fallecimiento de niños antes de los cinco años de edad. En el video, se utiliza como un indicador clave de la salud y el bienestar en diferentes países. El hablante menciona un estudio donde los estudiantes suecos no pudieron identificar correctamente a los países con la mayor mortalidad infantil, resaltando la brecha en el conocimiento sobre esta problemática.

💡Instituto Karolinska

El Instituto Karolinska es una universidad médica sueca famosa por ser la sede que otorga el Premio Nobel de Medicina. En el video, el hablante describe su experiencia docente en este instituto, donde enseñó un curso sobre salud global y realizó un pretest a los estudiantes para evaluar su conocimiento previo sobre desarrollo global.

💡Preconceptos

Los preconceptos son ideas o creencias preexistentes que pueden influir en la forma en que las personas perciben y comprenden la información. El video destaca cómo los preconceptos de los estudiantes suecos sobre el mundo y el desarrollo global influyeron en su capacidad para responder correctamente a preguntas sobre mortalidad infantil y otros indicadores de desarrollo.

💡Software de visualización de datos

El software de visualización de datos es una herramienta utilizada en el video para representar gráficamente la información estadística de diferentes países, como la tasa de fertilidad y la esperanza de vida. Este tipo de software permite a los estudiantes y al público ver de manera clara y comprensible cómo ha cambiado el mundo en términos de desarrollo y salud.

💡Tasa de fertilidad

La tasa de fertilidad se refiere al número promedio de hijos que una mujer tiene en su vida. En el video, esta tasa se utiliza para comparar y contrastar cómo la estructura familiar ha cambiado en diferentes países a lo largo del tiempo, y cómo esto se relaciona con otros factores como la esperanza de vida y los niveles de ingreso.

💡Esperanza de vida

La esperanza de vida es una medida de la cantidad media de años que se espera que una persona viva, tomando en cuenta el riesgo de mortalidad actual. En el video, se utiliza como un indicador del bienestar y la calidad de vida en diferentes países, mostrando cómo ha evolucionado a lo largo del tiempo y cómo se relaciona con otros factores como la tasa de fertilidad.

💡Distribución de ingresos

La distribución de ingresos se refiere a cómo se divide el ingreso total entre los miembros de una sociedad. En el video, se discute cómo la distribución de ingresos ha cambiado en el mundo y cómo esto se relaciona con el desarrollo económico y social. Se destaca la importancia de entender la distribución de ingresos para abordar la desigualdad y promover el desarrollo sostenible.

💡Gapminder

Gapminder es una organización sin fines de lucro mencionada en el video que se dedica a la creación de herramientas de visualización de datos para facilitar la comprensión de tendencias globales. El hablante describe cómo Gapminder ha desarrollado software que permite a las personas visualizar y comprender mejor los datos sobre desarrollo global, subrayando la importancia de hacer que los datos estén disponibles y comprensibles para el público.

💡Datos públicos

Los datos públicos son información recopilada y mantenida por entidades gubernamentales o organizaciones que reciben fondos públicos. En el video, se aboga por la necesidad de hacer que estos datos estén más accesibles y fáciles de entender para el público en general. Se argumenta que el acceso a datos públicos y su presentación de manera clara y comprensible pueden contribuir significativamente a la toma de decisiones informadas y al avance del desarrollo global.

💡Desigualdad

La desigualdad se refiere a las diferencias en los niveles de riqueza, poder o oportunidades entre diferentes grupos o individuos en una sociedad. El video discute cómo la desigualdad se manifiesta en términos de ingresos, salud y acceso a recursos, y cómo el análisis de los datos puede ayudar a identificar y abordar estas disparidades.

Highlights

Ten years ago, the speaker took on the task of teaching global development to Swedish undergraduates after spending 20 years studying hunger in Africa.

A pretest revealed that Swedish students knew less about global health issues than expected, highlighting a need for better education on the subject.

The use of software to visualize global health and development data showed significant progress in family planning and life expectancy worldwide.

The speaker discovered that preconceived ideas, rather than ignorance, were the main challenge in understanding global development.

A comparison between the United States and Vietnam in 1964 demonstrated the social changes that preceded economic changes in Asia.

The world's income distribution has changed significantly, with a reduction in the gap between rich and poor.

The concept of 'developing countries' is becoming increasingly doubtful as the majority of the world's population falls in the middle-income bracket.

The speaker emphasized the importance of context when discussing solutions for global issues, as there is significant variation within regions like Africa.

Data is often better than people think, and the challenge is making it accessible and searchable for the public.

Gapminder, a non-profit venture, was created to link data to design and make global statistics more accessible through software animations.

The new head of UN statistics is open to making data more accessible, which could lead to significant advancements in understanding global trends.

The speaker highlighted the need for data to be presented in a way that is easily understandable through graphic formats.

The world's internet usage is growing rapidly, which correlates well with the GDP per capita of countries, indicating the importance of technology in economic growth.

The speaker concluded by emphasizing the potential for a more flattened world where technology and data accessibility can lead to better global understanding and development.

The importance of cherishing great ideas and the role of artistic vision in creating impactful designs was also mentioned.

Transcripts

[Music]

but ten years ago I took on the task to

teach global development to Swedish

undergraduate students that was after

having spent about 20 years together

with African institutions studying

hunger in Africa so I was sort of

expected to know a little about the

world and I started in our medical

university Karolinska Institute an

undergraduate course called global

health but when you get that opportunity

you get a little nervous I thought these

students coming to us actually have the

highest grade you can get in Swedish

college system so I thought maybe they

know everything I'm going to teach them

about so I did a pretest when they came

and one of the question from which I

learned a lot was this one which country

has the highest child mortality of these

five pairs and I put them together so

that in each pair of country one has

twice the child mortality of the other

and this means that it's much bigger the

difference than the uncertainty of the

data I won't put you to test here but

it's Turkey which is high as there

Poland Russia Pakistan and South Africa

and these were the results of the

Swedish students I did that so I got the

confidence interval which was pretty

narrow and I got happy of course at one

point eight right answer out of five

possible that means that there was a

place for a professor of international

health and for my course but one life

late night when I was compiling the

report I really realized my discovery I

have shown that Swedish top students

know statistically significantly less

about the world than the chimpanzees

because the chimpanzee would score half

right if I gave him two bananas with Sri

Lanka and Turkey they would be right

half of the cases but the students are

not there the problem for me was not

ignorant it was preconceived ideas I did

also an unfair unethical study of the

professors of the Karolinska Institute

that hands out the Nobel Prize in

medicine and they are on par with the

chimpanzee there so this is where I

realized that there was really a need to

communicate because the data or what's

happening in the world and the child

health obviously every country is very

well aware so we did this software which

displays it like this every bubble here

is a country this country over here is

this is China and this is India the size

of the bubble is the population and on

this axis here I put fertility rate

because my students what they said when

they looked upon the world and I asked

them what do you really think about the

world huh well I first discovered that

the textbook was Tintin mainly and they

said the world is still we and them and

we is Western world and them is third

world and what do you mean with Western

world I said well that's long life in

small family and third world is short

life in large family so this is what I

could display here I put fertility rate

here number of children per woman 1 2 3

4 up to about eight children per woman

we have very good data since 1960 to

1968 on the size of families in all

countries the error margin is narrow

here I put life expectancy at birth from

30 years in some countries up to about

70 years and 1962 that was really a

group of countries here that was

industrialized countries and they had

small families and long lives and these

were the developing countries they had

large families and they had relatively

short lives now what has happened since

1962 we want to see the change or the

students right it's still two types of

countries or have these developing

countries got smaller families and they

live here or have they got longer lives

and live up there let's see we stopped

the world and this is all UN statistic

that has been a

here we go can you see that it's China

they're moving them against better

health they are improving there or the

green latin-american countries they are

moving towards smaller families your

yellow ones here or the Arabic countries

and they get larger families but they no

longer life but not larger families the

Africans are the green down here they

still remain here this is India

Indonesia is moving on pretty fast and

in the 80s here you have Bangladesh

still among the African countries there

but now Bangladesh it's a miracle that

happens in the 80s the Imams start to

promote Family Planning and they move up

into that corner and in 90s we have the

terrible HIV epidemic that takes down

the life expectancy of the African

countries and all the rest of the world

moves up into the corner where we have

long lives and small family and we have

a completely new world

[Applause]

let me make a comparison directly

between United States of America and

Vietnam 1964 America had small families

and long life Vietnam had large families

and short lives and this is what happens

the data during the war indicate that

even with all the death there was an

improvement of life expectancy by the

end of the year the Family Planning

started in Vietnam and they went for

smaller families and the United States

up there is getting for a longer life

keeping family size and in the 80s now

they give up communist planning and they

go for market economy and it moves

faster even in social life and today we

have in Vietnam the same life expectancy

and the same family size here in Vietnam

19 2003 as in United States 1974 by the

end of the war I think we all if we

don't look in the data we underestimate

the tremendous change in Asia which was

in social change before we saw the

economical change so let's move over to

another way here in which we could

display the distribution in the world of

the income this is the world

distribution of income of people $1 $10

or $100 per day there's no gap between

rich and poor any longer this is a myth

there's a little hump here but there are

people all the way and if we look where

the income ends up the income this is

100 percent of world's annual income and

the rich is 20% they take out of that

about 74 percent and the poor is 20%

they take about 2% and this shows that

the concept developing countries is

extremely doubtful we sort of think

about aid like these people here giving

aid to these people here but in the

middle we have most a world population

and they have now 24 percent of the

income we heard it in other forms and

who are who are these these where are

the different countries

I can show you Africa this is Africa

10% of world population most

impoverished this is oacd

the rich country the country club of the

UN and they are over here on this side

and quite an overlap between Africa and

oacd and this is Latin America it has

everything on this earth from the

poorest to the richest in Latin America

and on top of that we can put East

Europe we can put East Asia and we could

South Asia and how did it look like if

we go back in time to about 1970 then

there was more of a hump and we have

most who lived in absolute poverty were

Asians the problem in the world was the

poverty in Asia and if I now let the

world move forward you will seen that

wild populations increase there are

hundreds of millions in Asia are getting

out of poverty and some others get into

poverty and this is the pattern we have

today and the best projection from the

World Bank is that this will happen and

we will not have a divided world we have

most people in the middle of course it's

a logarithmic scale here but our concept

of economy is growth with percent we

look upon it as a possibility of percent

increase if I change this and I take GDP

per capita instead of family income and

I turn these individual data into

regional data of gross domestic products

and I take the regions down here the

size of the bubble distill the

population and you have the OECD there

and you have sub-saharan Africa there

and we take off the Arab states they're

coming both from Africa and from Asia

and we put them separately and we can

expand this axis and I can give it a new

dimension here by adding the social

values their child survival now I have

money on that axis and I have the

possibility of children to survive there

in some countries ninety-nine point

seven percent of children survive to

five years of age others only seventy

and here it seems that this a gap

between oacd

Latin America East Europe East Asia Arab

states South Asia and sub-saharan Africa

the linearity is very

strong between child survival and money

but let me split sub-saharan Africa

health is there and better help is up

there I can go here and I can split

sub-saharan Africa into its countries

and when it bursts the size of East

country bubble it's the size of the

population Sierra Leone the down there

more reaches up there

now reaches was the first country to get

away with trade barriers and they could

sell those sugar they could sell their

textiles on equal terms as the people in

Europe and North America there's a huge

difference between Africa and Ghana is

here in the middle in Sierra Leone a

humanitarian aid here in Uganda

development aid here time to invest

there you can go for holiday it's a

tremendous variation within Africa which

we very often make that it's equal

everything I can split South Asia here

India's the big bubble in the middle but

huge difference between Afghanistan and

Sri Lanka and I can speed Arab states

how are they same climate same culture

same religion huge difference even

between neighbors Yemen Civil War United

Arab Emirates money which was quite

equally and well used not as the methods

and that includes all the children of

the foreign workers who are in the

country data is often better than you

think

many people say data is bad there is an

uncertainty merge but we can see the

difference here Cambodia Singapore the

differences are much bigger than the

weakness of the data East Europe Soviet

economy for a long time but they come

out of the ten years very very

differently and there is Latin America

today we don't have to go to Cuba to

find a healthy country in Latin America

Chile will have a lower child mortality

thank you but within some few years from

now and here we have high-income

countries in OECD and we get the whole

pattern here of the world which is more

or less like like this and if we look at

it how it looks the world in 1960 it

starts to move 1960 this is mouths a

tomb he brought health to China

and then he died and then thanks your

ping came and brought money to China and

brought them into the mainstream again

and we have seen how countries move in

different directions like this so it's

sort of sort of difficult to get an

example country which shows the pattern

of the world but I would like to bring

you back to about here at 1960 and I

would like to compare South Korea which

is this one with with Brazil which is

this one the label went away for me here

and I would like to compare Uganda which

is there and I can run it forward like

this and you can see how South Korea is

making a very very fast advancement

whereas Brazil is much slower and if we

move back again here and we put on

trails on them like this you can see

again that the speed of development is

very very different and the countries

are moving more or less in the same rate

as money and health but it seems you can

move much faster if you're healthy first

than if you are wealthy first and to

show that you can put on the way of

united arab emirate they came from here

a mineral country they catch all the oil

they got all the money but health cannot

be bought at the supermarket you have to

invest in health you have to get kids

into schooling you have to Train health

staff you have to educate the population

and sheikh zayed did that in a fairly

good way and in spite of falling oil

prices he brought this country up here

so we got a much more mainstream

appearance of the world where all

countries tend to use their money better

than they used in the past now this is

more or less if you look at if you look

at the average data of the countries

they are like this now that's dangerous

to use average data because there's such

a lot of difference within countries so

if I go

look here we can see that Uganda that

today is where South Korea was 1960 if I

split Uganda there's quite a difference

within Uganda these are the quintiles of

Uganda the richest 20% of Uganda's are

there the poorest are down there if I

split South Africa it's like this and if

I go down and look at Nigeria where

there was such a terrible famine lost

Lee it's like this the 20% poorest of

Nigeria is out here and the 20% richest

of South Africa is there and yet we tend

to discuss on what solutions there

should be in Africa everything in this

world exists in Africa and you can't

discuss universal access to HIV for that

quintile up here with the same strategy

as down here the improvement of the

world must be highly contextualized and

it's not relevant to have it on regional

level we must be much more detailed we

find that students get very excited when

they can use this and even more

policymakers and the corporate sectors

would like to see see how the world is

changing now why doesn't this take place

why are we not using the data we have we

have data in the United Nation in the

National Statistical agencies and in

universities another non-governmental

organization because the data is hidden

down in the databases and the public is

there and the internet is there but we

have still not used it effectively all

that information was so changing in the

world does not include publicly funded

statistics there are some webpages like

this you know but they take some

nourishment down from the databases but

people put prices on them stupid

passwords and boring statistics and this

won't work

so what is needed we have the databases

it's not a new database you need we have

wonderful design tools and more and more

I added up here so we started a

non-profit venture which we called

linking data to design we call it

Gapminder from London Underground where

they warn you mind the gap so we thought

gap mind was appropriate and we started

to write software which could link the

data like this and it wasn't that

difficult

it took some person years and we have

produced animations you can take a data

set and put it there we are liberating

you and data some few UN organizations

some countries accept that their

databases can go out on the world but

what we really need is of course a

search function a search function where

we can copy the data up to a searchable

format and get it out in the world and

what do we hear when we go around I've

done anthropology on the main

statistical units everyone says it's

impossible this can't be done our

information is so peculiar in detail so

that cannot be searched as other can be

searched we cannot give the data free to

the students free to the entrepreneurs

of the world but this is what we would

like to see isn't it the publicly funded

data is down here and we would like

flowers to grow out on the net and one

of the crucial point is to make them

searchable and then people can use the

different design tool to animate it

there and I have a pretty good news for

you I have a good news that the present

new head of UN statistic he doesn't say

it's impossible he only says we can't do

it

and that's a quite clever guy so we can

see a lot happening in data in the

coming years we will be able to look at

income distributions in completely new

ways this is the income distribution of

China 1970 this is the income

distribution of the United States 1970

almost no overlap almost no overlap and

what has happened what has happened is

this the China is growing it's not so

equal any longer and it's appearing here

overlooking the United States almost

like a ghost isn't it it's pretty scary

but I think it's very important to have

have all this information we need we

need really to see it and instead of

looking at this I would like to end up

by showing the Internet users per 1000

and this software we access about 500

variables from all the countries quite

easily it takes some time to change for

this but on the accesses you can quite

easily get any variable you would like

to have and the thing would be to get up

the database is free to get them

searchable and with a secondly to get

them into the graphic formats where you

can instantly understand them now the

statisticians doesn't like it because

they say that this will not this will

not show the the reality we have to have

statistical analytical methods but this

is hypothesis-generating

I end now with a world where the

internet are coming the number of

Internet users are going up like this

this is the GDP per capita and it's a

new technology coming in but in

amazingly how well it fits to the

economy of the countries that's why the

$100 computer will be so important but

the nice tenders it's as if the world is

flattening off isn't it these countries

are lifting more than the economy

and will be very interesting to fall of

this over the year as I would like you

to be able to do with all the publicly

funded data thank you very much what if

great ideas weren't cherished what if

they carried no importance or held no

value there is a place where artistic

vision is protected where inspired

design ideas live on to become ultimate

driving machines

you