How economic inequality harms societies | Richard Wilkinson

1,159,736 views ・ 2011-10-24

TED


Please double-click on the English subtitles below to play the video.

00:15
You all know the truth of what I'm going to say.
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I think the intuition that inequality is divisive and socially corrosive
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has been around since before the French Revolution.
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00:26
What's changed
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is we now can look at the evidence,
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we can compare societies, more and less equal societies,
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00:33
and see what inequality does.
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00:36
I'm going to take you through that data
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00:39
and then explain why
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the links I'm going to be showing you exist.
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But first, see what a miserable lot we are.
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00:48
(Laughter)
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00:50
I want to start though
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with a paradox.
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00:55
This shows you life expectancy
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00:57
against gross national income --
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00:59
how rich countries are on average.
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01:01
And you see the countries on the right,
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like Norway and the USA,
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are twice as rich as Israel, Greece, Portugal on the left.
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01:10
And it makes no difference to their life expectancy at all.
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01:14
There's no suggestion of a relationship there.
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01:16
But if we look within our societies,
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there are extraordinary social gradients in health
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01:22
running right across society.
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01:24
This, again, is life expectancy.
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01:26
These are small areas of England and Wales --
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01:28
the poorest on the right, the richest on the left.
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01:32
A lot of difference between the poor and the rest of us.
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01:35
Even the people just below the top
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have less good health
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than the people at the top.
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So income means something very important
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within our societies,
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and nothing between them.
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The explanation of that paradox
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is that, within our societies,
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we're looking at relative income
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01:55
or social position, social status --
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01:58
where we are in relation to each other
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02:01
and the size of the gaps between us.
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And as soon as you've got that idea,
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you should immediately wonder:
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what happens if we widen the differences,
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02:11
or compress them,
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make the income differences bigger or smaller?
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02:15
And that's what I'm going to show you.
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02:18
I'm not using any hypothetical data.
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02:20
I'm taking data from the U.N. --
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02:22
it's the same as the World Bank has --
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02:24
on the scale of income differences
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02:26
in these rich developed market democracies.
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02:29
The measure we've used,
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because it's easy to understand and you can download it,
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is how much richer the top 20 percent
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02:35
than the bottom 20 percent in each country.
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02:38
And you see in the more equal countries on the left --
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Japan, Finland, Norway, Sweden --
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the top 20 percent are about three and a half, four times as rich
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as the bottom 20 percent.
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But on the more unequal end --
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U.K., Portugal, USA, Singapore --
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the differences are twice as big.
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02:55
On that measure, we are twice as unequal
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as some of the other successful market democracies.
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03:02
Now I'm going to show you what that does to our societies.
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We collected data on problems with social gradients,
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03:09
the kind of problems that are more common
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at the bottom of the social ladder.
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03:13
Internationally comparable data on life expectancy,
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on kids' maths and literacy scores,
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03:19
on infant mortality rates, homicide rates,
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03:22
proportion of the population in prison, teenage birthrates,
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03:25
levels of trust,
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obesity, mental illness --
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which in standard diagnostic classification
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includes drug and alcohol addiction --
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03:34
and social mobility.
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03:36
We put them all in one index.
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03:39
They're all weighted equally.
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Where a country is is a sort of average score on these things.
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03:44
And there, you see it
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in relation to the measure of inequality I've just shown you,
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which I shall use over and over again in the data.
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The more unequal countries
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are doing worse
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on all these kinds of social problems.
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It's an extraordinarily close correlation.
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04:01
But if you look at that same index
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of health and social problems
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in relation to GNP per capita,
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04:07
gross national income,
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04:09
there's nothing there,
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04:11
no correlation anymore.
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04:14
We were a little bit worried
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that people might think
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we'd been choosing problems to suit our argument
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and just manufactured this evidence,
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04:23
so we also did a paper in the British Medical Journal
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on the UNICEF index of child well-being.
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04:30
It has 40 different components
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put together by other people.
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04:34
It contains whether kids can talk to their parents,
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whether they have books at home,
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what immunization rates are like, whether there's bullying at school.
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04:42
Everything goes into it.
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Here it is in relation to that same measure of inequality.
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Kids do worse in the more unequal societies.
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Highly significant relationship.
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04:54
But once again,
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if you look at that measure of child well-being,
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in relation to national income per person,
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05:01
there's no relationship,
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no suggestion of a relationship.
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05:06
What all the data I've shown you so far says
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is the same thing.
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05:11
The average well-being of our societies
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is not dependent any longer
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on national income and economic growth.
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05:19
That's very important in poorer countries,
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05:21
but not in the rich developed world.
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05:24
But the differences between us
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and where we are in relation to each other
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now matter very much.
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05:31
I'm going to show you some of the separate bits of our index.
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05:34
Here, for instance, is trust.
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05:36
It's simply the proportion of the population
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who agree most people can be trusted.
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05:40
It comes from the World Values Survey.
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05:42
You see, at the more unequal end,
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it's about 15 percent of the population
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who feel they can trust others.
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But in the more equal societies,
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it rises to 60 or 65 percent.
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And if you look at measures of involvement in community life
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or social capital,
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06:00
very similar relationships
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06:02
closely related to inequality.
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06:05
I may say, we did all this work twice.
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06:08
We did it first on these rich, developed countries,
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and then as a separate test bed,
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we repeated it all on the 50 American states --
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asking just the same question:
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do the more unequal states
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do worse on all these kinds of measures?
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06:22
So here is trust from a general social survey of the federal government
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related to inequality.
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Very similar scatter
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over a similar range of levels of trust.
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06:32
Same thing is going on.
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06:34
Basically we found
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that almost anything that's related to trust internationally
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is related to trust amongst the 50 states
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in that separate test bed.
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We're not just talking about a fluke.
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06:45
This is mental illness.
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WHO put together figures
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using the same diagnostic interviews
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on random samples of the population
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to allow us to compare rates of mental illness
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in each society.
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This is the percent of the population
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with any mental illness in the preceding year.
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And it goes from about eight percent
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up to three times that --
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whole societies
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with three times the level of mental illness of others.
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And again, closely related to inequality.
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This is violence.
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These red dots are American states,
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and the blue triangles are Canadian provinces.
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But look at the scale of the differences.
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It goes from 15 homicides per million
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up to 150.
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This is the proportion of the population in prison.
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There's a about a tenfold difference there,
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log scale up the side.
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But it goes from about 40 to 400
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people in prison.
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That relationship
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is not mainly driven by more crime.
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In some places, that's part of it.
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But most of it is about more punitive sentencing,
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harsher sentencing.
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And the more unequal societies
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are more likely also to retain the death penalty.
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Here we have children dropping out of high school.
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Again, quite big differences.
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Extraordinarily damaging,
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if you're talking about using the talents of the population.
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This is social mobility.
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It's actually a measure of mobility
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based on income.
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Basically, it's asking:
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do rich fathers have rich sons
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and poor fathers have poor sons,
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or is there no relationship between the two?
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And at the more unequal end,
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fathers' income is much more important --
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in the U.K., USA.
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And in Scandinavian countries,
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fathers' income is much less important.
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There's more social mobility.
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And as we like to say --
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and I know there are a lot of Americans in the audience here --
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if Americans want to live the American dream,
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they should go to Denmark.
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08:57
(Laughter)
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08:59
(Applause)
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09:03
I've shown you just a few things in italics here.
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09:06
I could have shown a number of other problems.
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They're all problems that tend to be more common
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at the bottom of the social gradient.
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But there are endless problems with social gradients
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that are worse in more unequal countries --
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not just a little bit worse,
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but anything from twice as common to 10 times as common.
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Think of the expense,
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the human cost of that.
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I want to go back though to this graph that I showed you earlier
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where we put it all together
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to make two points.
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One is that, in graph after graph,
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we find the countries that do worse,
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whatever the outcome,
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seem to be the more unequal ones,
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and the ones that do well
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seem to be the Nordic countries and Japan.
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So what we're looking at
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is general social disfunction related to inequality.
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It's not just one or two things that go wrong,
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it's most things.
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The other really important point I want to make on this graph
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is that, if you look at the bottom,
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Sweden and Japan,
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they're very different countries in all sorts of ways.
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The position of women,
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how closely they keep to the nuclear family,
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are on opposite ends of the poles
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in terms of the rich developed world.
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But another really important difference
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is how they get their greater equality.
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Sweden has huge differences in earnings,
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and it narrows the gap through taxation,
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general welfare state,
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generous benefits and so on.
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Japan is rather different though.
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It starts off with much smaller differences in earnings before tax.
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It has lower taxes.
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It has a smaller welfare state.
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And in our analysis of the American states,
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we find rather the same contrast.
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There are some states that do well through redistribution,
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some states that do well
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because they have smaller income differences before tax.
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So we conclude
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that it doesn't much matter how you get your greater equality,
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as long as you get there somehow.
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11:00
I am not talking about perfect equality,
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I'm talking about what exists in rich developed market democracies.
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Another really surprising part of this picture
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is that it's not just the poor
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who are affected by inequality.
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11:18
There seems to be some truth in John Donne's
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"No man is an island."
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11:23
And in a number of studies, it's possible to compare
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how people do in more and less equal countries
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at each level in the social hierarchy.
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This is just one example.
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It's infant mortality.
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Some Swedes very kindly classified a lot of their infant deaths
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according to the British register of general socioeconomic classification.
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And so it's anachronistically
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a classification by fathers' occupations,
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so single parents go on their own.
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But then where it says "low social class,"
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that's unskilled manual occupations.
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It goes through towards the skilled manual occupations in the middle,
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then the junior non-manual,
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going up high to the professional occupations --
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doctors, lawyers,
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directors of larger companies.
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You see there that Sweden does better than Britain
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all the way across the social hierarchy.
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The biggest differences are at the bottom of society.
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But even at the top,
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there seems to be a small benefit
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to being in a more equal society.
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12:27
We show that on about five different sets of data
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covering educational outcomes
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and health in the United States and internationally.
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And that seems to be the general picture --
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that greater equality makes most difference at the bottom,
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but has some benefits even at the top.
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But I should say a few words about what's going on.
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I think I'm looking and talking
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about the psychosocial effects of inequality.
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12:53
More to do with feelings of superiority and inferiority,
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of being valued and devalued,
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respected and disrespected.
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13:01
And of course, those feelings
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of the status competition that comes out of that
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drives the consumerism in our society.
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It also leads to status insecurity.
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We worry more about how we're judged and seen by others,
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whether we're regarded as attractive, clever,
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all that kind of thing.
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The social-evaluative judgments increase,
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the fear of those social-evaluative judgments.
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Interestingly,
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some parallel work going on in social psychology:
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some people reviewed 208 different studies
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in which volunteers had been invited
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into a psychological laboratory
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and had their stress hormones,
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their responses to doing stressful tasks, measured.
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And in the review,
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what they were interested in seeing
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is what kind of stresses
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most reliably raise levels of cortisol,
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the central stress hormone.
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And the conclusion was
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it was tasks that included social-evaluative threat --
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threats to self-esteem or social status
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in which others can negatively judge your performance.
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Those kind of stresses
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have a very particular effect
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on the physiology of stress.
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Now we have been criticized.
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Of course, there are people who dislike this stuff
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and people who find it very surprising.
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I should tell you though
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that when people criticize us for picking and choosing data,
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we never pick and choose data.
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We have an absolute rule
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that if our data source has data for one of the countries we're looking at,
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it goes into the analysis.
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Our data source decides
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whether it's reliable data,
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we don't.
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Otherwise that would introduce bias.
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What about other countries?
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There are 200 studies
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14:55
of health in relation to income and equality
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in the academic peer-reviewed journals.
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This isn't confined to these countries here,
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hiding a very simple demonstration.
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The same countries,
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the same measure of inequality,
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one problem after another.
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Why don't we control for other factors?
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Well we've shown you that GNP per capita
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doesn't make any difference.
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And of course, others using more sophisticated methods in the literature
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have controlled for poverty and education
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and so on.
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What about causality?
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Correlation in itself doesn't prove causality.
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We spend a good bit of time.
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And indeed, people know the causal links quite well
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in some of these outcomes.
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The big change in our understanding
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of drivers of chronic health
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in the rich developed world
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is how important chronic stress from social sources
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is affecting the immune system,
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the cardiovascular system.
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Or for instance, the reason why violence
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becomes more common in more unequal societies
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is because people are sensitive to being looked down on.
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I should say that to deal with this,
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we've got to deal with the post-tax things
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and the pre-tax things.
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We've got to constrain income,
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the bonus culture incomes at the top.
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I think we must make our bosses accountable to their employees
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in any way we can.
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I think the take-home message though
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is that we can improve the real quality of human life
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by reducing the differences in incomes between us.
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Suddenly we have a handle
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on the psychosocial well-being of whole societies,
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and that's exciting.
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Thank you.
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(Applause)
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About this website

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