Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated:
1
00:00:00,841 --> 00:00:03,176
Freeman:
Are the wealthy just born
2
00:00:03,178 --> 00:00:05,929
in the right place
at the right time,
3
00:00:05,931 --> 00:00:08,648
or are the poor
victims of a system
4
00:00:08,650 --> 00:00:10,567
designed to keep them down?
5
00:00:10,569 --> 00:00:12,552
Perhaps physics and biology
6
00:00:12,554 --> 00:00:15,238
determine who's rich
and who's poor.
7
00:00:17,108 --> 00:00:19,275
Many hope to erase the divide
8
00:00:19,277 --> 00:00:22,112
between the haves
and the have nots,
9
00:00:22,114 --> 00:00:27,500
but what if nature demands
winners and losers in life?
10
00:00:27,502 --> 00:00:30,703
Could poverty be genetic?
11
00:00:36,260 --> 00:00:41,097
Space, time, life itself.
12
00:00:42,916 --> 00:00:47,637
The secrets of the cosmos
lie through the wormhole.
13
00:00:47,639 --> 00:00:51,639
♪ Through the Wormhole 05x03 ♪
Is Poverty Genetic?
Original Air Date on June 5, 2013
14
00:00:51,664 --> 00:00:57,664
== sync, corrected by elderman ==
@elder_man
15
00:01:00,886 --> 00:01:06,924
Pharaohs, kings, great
industrialists and C.E.O.s.
16
00:01:06,926 --> 00:01:08,459
Throughout history,
17
00:01:08,461 --> 00:01:11,729
a select few have claimed
enormous wealth
18
00:01:11,731 --> 00:01:13,164
as a birthright.
19
00:01:13,166 --> 00:01:17,368
Some of them say they also
inherit qualities and virtues
20
00:01:17,370 --> 00:01:19,070
that keep them rich.
21
00:01:19,072 --> 00:01:22,473
Could the chasm that separates
rich and poor
22
00:01:22,475 --> 00:01:24,842
really be the result of our DNA?
23
00:01:24,844 --> 00:01:27,778
Scientists are trying
to discover
24
00:01:27,780 --> 00:01:31,916
if there is a biological reason
the rich stay rich
25
00:01:31,918 --> 00:01:35,503
and whether equality
and prosperity for all
26
00:01:35,505 --> 00:01:37,955
contradict the laws of nature.
27
00:01:40,009 --> 00:01:43,261
Where I grew up,
nobody had much money.
28
00:01:43,263 --> 00:01:45,179
Nobody we knew, anyhow.
29
00:01:45,181 --> 00:01:48,316
Rich people were out there,
somewhere,
30
00:01:48,318 --> 00:01:52,153
but to us, they may as well
have been Martians.
31
00:01:52,155 --> 00:01:53,521
Money was so scarce
32
00:01:53,523 --> 00:01:56,074
that I went around
the neighborhood
33
00:01:56,076 --> 00:01:57,525
collecting bottles.
34
00:01:57,527 --> 00:02:01,312
I traded them in when I had
enough to get into the movies.
35
00:02:01,314 --> 00:02:04,949
Now, of course, things
are different for me.
36
00:02:04,951 --> 00:02:06,534
I'm in the movies.
37
00:02:06,536 --> 00:02:08,819
Money isn't much of a worry.
38
00:02:08,821 --> 00:02:12,924
My experience shows
that being born poor
39
00:02:12,926 --> 00:02:16,544
is not necessarily
a life sentence.
40
00:02:16,546 --> 00:02:20,098
But for billions of people
around the world,
41
00:02:20,100 --> 00:02:24,385
poverty passes from generation
to generation without end.
42
00:02:24,387 --> 00:02:28,672
We inherit property, or the lack
of it, from our parents.
43
00:02:28,674 --> 00:02:31,342
We also inherit
our parents' DNA,
44
00:02:31,344 --> 00:02:34,845
and for as long as we've
known about genetics,
45
00:02:34,847 --> 00:02:37,865
scientists have been wondering
if there is a connection
46
00:02:37,867 --> 00:02:40,701
between our money and our genes.
47
00:02:40,703 --> 00:02:46,357
Genes are pieces of code that
tell your body how to function.
48
00:02:46,359 --> 00:02:50,495
There are about 25,000 genes
in human DNA.
49
00:02:50,497 --> 00:02:54,415
How do they affect
our personalities?
50
00:02:54,417 --> 00:02:55,967
These are questions
51
00:02:55,969 --> 00:02:59,554
University of Virginia Professor
Eric Turkheimer
52
00:02:59,556 --> 00:03:01,672
has been asking for 20 years.
53
00:03:01,674 --> 00:03:07,711
Eric studies the genetics
of complex human behavior.
54
00:03:07,713 --> 00:03:10,098
One way you can think
about the role
55
00:03:10,100 --> 00:03:11,732
that individual genes play
56
00:03:11,734 --> 00:03:14,519
in the creation
of complex genetic effects
57
00:03:14,521 --> 00:03:17,822
is that it's like the role
that an individual thread
58
00:03:17,824 --> 00:03:21,742
might play in the creation
of a complex tapestry.
59
00:03:21,744 --> 00:03:24,662
You couldn't really understand
the role of each thread
60
00:03:24,664 --> 00:03:26,864
one at a time,
separate from the others.
61
00:03:26,866 --> 00:03:29,584
You have to know how each thread
fits into the warp
62
00:03:29,586 --> 00:03:30,952
and woof of the fabric
63
00:03:30,954 --> 00:03:33,671
and how they all work together
to create the pattern.
64
00:03:33,673 --> 00:03:37,575
Well, with genes,
it's the same way.
65
00:03:39,962 --> 00:03:43,264
Freeman: These are
the genetic interactions
66
00:03:43,266 --> 00:03:47,218
within just one of your 23 pairs
of chromosomes.
67
00:03:47,220 --> 00:03:50,521
It's a highly interconnected,
highly complex web
68
00:03:50,523 --> 00:03:52,857
of genetic factors.
69
00:03:52,859 --> 00:03:57,895
After the human genome
was decoded in 2001,
70
00:03:57,897 --> 00:04:02,933
studies emerged claiming to find
links between individual genes
71
00:04:02,935 --> 00:04:06,154
and characteristics
like common sense,
72
00:04:06,156 --> 00:04:09,790
ambition, and perseverance.
73
00:04:09,792 --> 00:04:14,412
Some imagined we might soon be
able to identify who was born
74
00:04:14,414 --> 00:04:17,465
to prosper
and who was born to fail.
75
00:04:17,467 --> 00:04:20,301
This has frightening
implications.
76
00:04:20,303 --> 00:04:25,556
Imagine banks demanding saliva
tests before granting loans,
77
00:04:25,558 --> 00:04:28,809
custody battles decided
by which parent
78
00:04:28,811 --> 00:04:31,762
has better financial genes,
79
00:04:31,764 --> 00:04:35,516
or entire races labeled
as credit risks.
80
00:04:35,518 --> 00:04:37,235
But a decade later,
81
00:04:37,237 --> 00:04:41,739
the vast majority of these
one-gene, one-trait studies
82
00:04:41,741 --> 00:04:43,741
have been proven wrong.
83
00:04:43,743 --> 00:04:46,661
Turkheimer: I think if you would ask me
20 years ago,
84
00:04:46,663 --> 00:04:50,998
"are we gonna know what the
genes for human personality
85
00:04:51,000 --> 00:04:52,500
are in 20 years?"
86
00:04:52,502 --> 00:04:53,784
I think I would've said,
87
00:04:53,786 --> 00:04:55,670
"Yeah, sure,
we'll know something."
88
00:04:55,672 --> 00:04:59,257
It's turning out that the way
genetics works
89
00:04:59,259 --> 00:05:02,326
is more complicated in a way
that doesn't allow us
90
00:05:02,328 --> 00:05:05,129
to identify the effects
of individual genes.
91
00:05:05,131 --> 00:05:08,832
Freeman:
So Eric has a new approach:
92
00:05:08,834 --> 00:05:13,170
Using statistical software to
analyze the vast body of data
93
00:05:13,172 --> 00:05:16,691
collected around the world
on twins.
94
00:05:18,026 --> 00:05:22,313
Are you shaped by your genes
or by your environment?
95
00:05:22,315 --> 00:05:25,783
It's the problem that always
gets in the way of studies
96
00:05:25,785 --> 00:05:30,238
on how genes are connected
to complex traits.
97
00:05:30,240 --> 00:05:32,156
But twins offer a way
98
00:05:32,158 --> 00:05:36,244
to separate the effects
of nature and nurture.
99
00:05:36,246 --> 00:05:41,549
Identical twins share virtually
100% of their genetic material.
100
00:05:41,551 --> 00:05:46,704
Fraternal twins share 50%
of their genes.
101
00:05:46,706 --> 00:05:49,140
By comparing identical
and fraternal twins,
102
00:05:49,142 --> 00:05:52,593
we were able to demonstrate
in a general way
103
00:05:52,595 --> 00:05:58,382
that genes have effects
on almost everything.
104
00:05:58,384 --> 00:06:01,602
Freeman: Eric began looking
at very large samples
105
00:06:01,604 --> 00:06:04,221
of twins from all
around the U.S.
106
00:06:04,223 --> 00:06:06,390
From all socioeconomic groups.
107
00:06:06,392 --> 00:06:11,228
He used I.Q. as a predictor
of future wealth of a child,
108
00:06:11,230 --> 00:06:15,116
a link most studies find
to be very strong.
109
00:06:15,118 --> 00:06:17,752
Turkheimer: What we found
was quite surprising.
110
00:06:17,754 --> 00:06:20,588
Children raised in poverty,
111
00:06:20,590 --> 00:06:24,408
their home environment was by
far the most important factor.
112
00:06:24,410 --> 00:06:27,578
Their genes seemed to play
almost no role at all.
113
00:06:27,580 --> 00:06:31,849
Freeman: If a child with genes
predisposing him or her
114
00:06:31,851 --> 00:06:33,968
to be a financial wizard
115
00:06:33,970 --> 00:06:37,921
is raised in an extremely
harsh environment,
116
00:06:37,923 --> 00:06:41,759
that exceptional DNA
may not shine through.
117
00:06:41,761 --> 00:06:44,362
Turkheimer: And then
as you moved from kids
118
00:06:44,364 --> 00:06:47,064
raised in those really
terrible circumstances
119
00:06:47,066 --> 00:06:50,318
up to kids raised
in the middle class,
120
00:06:50,320 --> 00:06:53,821
the role of genes became more
and more and more important,
121
00:06:53,823 --> 00:06:56,791
and once you got
to the middle class or better,
122
00:06:56,793 --> 00:06:58,292
genes took over,
123
00:06:58,294 --> 00:07:01,412
and by the time you got to the
wealthiest people in the study,
124
00:07:01,414 --> 00:07:04,081
genes were making
all the difference.
125
00:07:06,385 --> 00:07:08,836
Freeman: Genes do have
important effects
126
00:07:08,838 --> 00:07:12,456
on how rich or poor children
will be when they grow up,
127
00:07:12,458 --> 00:07:15,309
but it's an effect
that is only visible
128
00:07:15,311 --> 00:07:18,128
when kids grow up
outside of poverty.
129
00:07:19,564 --> 00:07:21,232
Turkheimer:
To some extent,
130
00:07:21,234 --> 00:07:25,102
it's probably true that people
who wind up living in poverty
131
00:07:25,104 --> 00:07:27,638
have some kind
of genetic difference
132
00:07:27,640 --> 00:07:30,658
from people who wind up
making a lot of money.
133
00:07:30,660 --> 00:07:32,326
I think what our work has shown
134
00:07:32,328 --> 00:07:35,312
is that it doesn't matter
what kind of genetic tendencies
135
00:07:35,314 --> 00:07:36,947
some of these kids may have had.
136
00:07:36,949 --> 00:07:39,450
If they're raised in
a bad enough environment,
137
00:07:39,452 --> 00:07:41,285
they're not gonna be able
to express them.
138
00:07:41,287 --> 00:07:43,704
Freeman:
The tapestry of genes
139
00:07:43,706 --> 00:07:46,006
that make up you as an adult
140
00:07:46,008 --> 00:07:49,326
are shaped by the fabric of DNA
you were born with
141
00:07:49,328 --> 00:07:52,847
and by the environment
you grew up in.
142
00:07:52,849 --> 00:07:58,436
How can we overcome the cards
that nature and nurture dealt us
143
00:07:58,438 --> 00:08:01,722
in the womb and the crib?
144
00:08:01,724 --> 00:08:05,342
A new study suggests
our economic destiny
145
00:08:05,344 --> 00:08:08,529
may be determined by the time
we are 12,
146
00:08:08,531 --> 00:08:11,365
because poverty can affect
the brain.
147
00:08:11,367 --> 00:08:14,318
Martha Farah is the founder
and director
148
00:08:14,320 --> 00:08:17,488
of the Center for Neuroscience
and Society
149
00:08:17,490 --> 00:08:20,040
at the University
of Pennsylvania.
150
00:08:20,042 --> 00:08:23,026
She has often wondered,
151
00:08:23,028 --> 00:08:25,996
"Why do poor children perform
worse on I.Q. tests
152
00:08:25,998 --> 00:08:27,882
and in school?"
153
00:08:27,884 --> 00:08:30,200
Farah:
Many different disciplines
154
00:08:30,202 --> 00:08:34,755
have tried to understand
how it is that poverty
155
00:08:34,757 --> 00:08:37,591
shapes people's life chances.
156
00:08:37,593 --> 00:08:41,595
My colleagues and I are taking
a neurobiological approach
157
00:08:41,597 --> 00:08:44,064
to this question.
158
00:08:44,066 --> 00:08:46,383
Freeman:
Over the past few years,
159
00:08:46,385 --> 00:08:50,688
Martha and her colleagues have
scanned the brain architecture
160
00:08:50,690 --> 00:08:52,406
of hundreds of children
161
00:08:52,408 --> 00:08:55,893
from a wide range of
socioeconomic backgrounds.
162
00:08:55,895 --> 00:08:59,530
She has found there are
physical differences
163
00:08:59,532 --> 00:09:03,250
between the brains of the rich
and the poor.
164
00:09:03,252 --> 00:09:06,120
Farah:
The question we asked was,
165
00:09:06,122 --> 00:09:09,340
"What parts of the brain
are dependent
166
00:09:09,342 --> 00:09:11,241
"on that socioeconomic status
167
00:09:11,243 --> 00:09:15,930
for the size and shape that they
eventually grow to?"
168
00:09:15,932 --> 00:09:19,750
What we found is that several
important areas
169
00:09:19,752 --> 00:09:23,387
do show an effect of
socioeconomic status.
170
00:09:23,389 --> 00:09:26,223
Freeman: Growing up
in extreme poverty
171
00:09:26,225 --> 00:09:29,259
slows the growth
of the hippocampus,
172
00:09:29,261 --> 00:09:34,097
which is important for learning,
memory, and stress regulation,
173
00:09:34,099 --> 00:09:37,485
and it also shrinks
the prefrontal cortex,
174
00:09:37,487 --> 00:09:42,156
which helps coordinate memory,
perception, and motor control.
175
00:09:42,158 --> 00:09:46,961
Rich kids tend to have a thicker
cortex than poor kids,
176
00:09:46,963 --> 00:09:48,946
but it is crucial to note
177
00:09:48,948 --> 00:09:52,917
the rich and poor aren't born
with these differences.
178
00:09:52,919 --> 00:09:57,304
The brains of the poor start off
the same as anyone else's.
179
00:09:57,306 --> 00:10:00,558
Their brains are, however,
at greater risk
180
00:10:00,560 --> 00:10:03,727
of developing slowly
in early childhood.
181
00:10:03,729 --> 00:10:06,814
It is not genetics
that does the damage.
182
00:10:06,816 --> 00:10:11,235
It is lack of mental stimulation
and the stresses of poverty.
183
00:10:13,638 --> 00:10:15,973
One difference we know exists
184
00:10:15,975 --> 00:10:19,660
between the childhood
experiences of poor kids
185
00:10:19,662 --> 00:10:21,245
and wealthier kids
186
00:10:21,247 --> 00:10:25,983
is that the wealthier kids get
more cognitive stimulation,
187
00:10:25,985 --> 00:10:30,988
everything from being read to,
just being talked to,
188
00:10:30,990 --> 00:10:32,456
conversation,
189
00:10:32,458 --> 00:10:36,660
visits to interesting places,
190
00:10:36,662 --> 00:10:39,680
and we know that that
promotes cognitive
191
00:10:39,682 --> 00:10:41,432
and brain development.
192
00:10:41,434 --> 00:10:44,351
Freeman: But other forces
can determine
193
00:10:44,353 --> 00:10:46,220
who is rich and who is poor,
194
00:10:46,222 --> 00:10:49,557
forces that govern
not just individuals
195
00:10:49,559 --> 00:10:51,475
but entire nations.
196
00:10:51,477 --> 00:10:56,480
Today's rich man
may be tomorrow's pauper,
197
00:10:56,482 --> 00:10:59,984
because wealth is often a matter
of geography.
198
00:11:03,255 --> 00:11:05,122
Two millennia ago,
199
00:11:05,124 --> 00:11:07,625
if you wanted to get rich,
200
00:11:07,627 --> 00:11:09,660
you'd head for Rome.
201
00:11:09,662 --> 00:11:13,965
For the past century,
you came to America.
202
00:11:13,967 --> 00:11:17,802
Now you might want
to head for China.
203
00:11:17,804 --> 00:11:23,758
Why are certain places bursting
with money at certain times?
204
00:11:23,760 --> 00:11:28,095
Why are some nations
poorer than others?
205
00:11:28,097 --> 00:11:32,583
Two scientists have
a radical explanation.
206
00:11:32,585 --> 00:11:37,772
Economies buzz
because of the genetic mix
207
00:11:37,774 --> 00:11:40,641
of the people in them.
208
00:11:40,643 --> 00:11:45,196
These Ivy league economists
may not look dangerous,
209
00:11:45,198 --> 00:11:49,901
but to the academic world,
they are wild-eyed anarchists.
210
00:11:51,453 --> 00:11:52,820
A few years ago,
211
00:11:52,822 --> 00:11:55,606
Quamrul Ashraf
of Williams College
212
00:11:55,608 --> 00:11:58,159
and Oded Galor
of Brown University
213
00:11:58,161 --> 00:12:00,962
were looking to explain
the disparity
214
00:12:00,964 --> 00:12:02,797
of wealth between nations.
215
00:12:02,799 --> 00:12:05,950
Their findings set off
a raging debate
216
00:12:05,952 --> 00:12:08,052
about the roots of poverty.
217
00:12:08,054 --> 00:12:11,622
As economists,
we are ultimately interested
218
00:12:11,624 --> 00:12:16,344
in understanding the origins
of global inequality.
219
00:12:16,346 --> 00:12:19,630
Those origins lie
in the distant past.
220
00:12:22,317 --> 00:12:25,152
Freeman: Oded and Quamrul
set out to study
221
00:12:25,154 --> 00:12:27,071
the role genetic diversity
222
00:12:27,073 --> 00:12:28,823
has played
in wealth distribution
223
00:12:28,825 --> 00:12:30,157
around the globe.
224
00:12:30,159 --> 00:12:34,695
They reached a surprising
and unpopular conclusion.
225
00:12:34,697 --> 00:12:39,083
You know, Oded and I established
that there is a cause and effect
226
00:12:39,085 --> 00:12:42,420
of genetic diversity
on economic development
227
00:12:42,422 --> 00:12:45,172
that goes back
to the distant past,
228
00:12:45,174 --> 00:12:47,708
and it persists
through the present day.
229
00:12:47,710 --> 00:12:50,511
Initial conditions
tend to be very persistent.
230
00:12:50,513 --> 00:12:54,331
These variations in conditions
that go back, you know,
231
00:12:54,333 --> 00:12:58,302
80,000 to 40,000 years ago
show up in the data today,
232
00:12:58,304 --> 00:12:59,971
and they're there.
233
00:12:59,973 --> 00:13:02,023
Evolutionary biologists
234
00:13:02,025 --> 00:13:06,861
find that the farther an
indigenous group is from Africa,
235
00:13:06,863 --> 00:13:10,114
the less diverse
it is genetically.
236
00:13:10,116 --> 00:13:13,317
Africans are the most
genetically diverse
237
00:13:13,319 --> 00:13:17,855
because all the various peoples
of the world originated there.
238
00:13:17,857 --> 00:13:20,691
The smaller groups
that left Africa
239
00:13:20,693 --> 00:13:24,412
to settle in more distant lands
are less diverse.
240
00:13:24,414 --> 00:13:27,798
Oded and Quamrul traced
this genetic effect
241
00:13:27,800 --> 00:13:29,633
across 80,000 years.
242
00:13:29,635 --> 00:13:33,537
Then they compared it to markers
of economic development
243
00:13:33,539 --> 00:13:35,473
over the last 2,000 years.
244
00:13:35,475 --> 00:13:40,344
Genetic diversity is responsible
for about 1/6
245
00:13:40,346 --> 00:13:42,713
of the variations
or the inequality
246
00:13:42,715 --> 00:13:46,267
that we see across the globe,
which is a huge fraction.
247
00:13:46,269 --> 00:13:50,104
The economists found
that too much or too little
248
00:13:50,106 --> 00:13:54,442
genetic diversity can be harmful
to economic development.
249
00:13:54,444 --> 00:13:56,861
Throughout history, they claim,
250
00:13:56,863 --> 00:14:01,615
successful societies have been
the ones that hit the sweet spot
251
00:14:01,617 --> 00:14:03,367
of genetic diversity.
252
00:14:08,290 --> 00:14:10,908
In baseball,
the sweet spot of the bat
253
00:14:10,910 --> 00:14:13,928
is about six inches
from the end of the barrel.
254
00:14:13,930 --> 00:14:17,932
This is where the performance
of the bat is maximized
255
00:14:17,934 --> 00:14:21,519
and the hand sensation,
or sting, is minimized.
256
00:14:21,521 --> 00:14:25,089
It is the spot where the bat
is just right.
257
00:14:25,091 --> 00:14:26,974
There is a sweet spot.
258
00:14:26,976 --> 00:14:29,693
The sweet spot at the moment
is associated
259
00:14:29,695 --> 00:14:32,863
with the level of diversity
in the United States,
260
00:14:32,865 --> 00:14:35,099
and societies that are
more diverse
261
00:14:35,101 --> 00:14:38,102
are more able to cope
262
00:14:38,104 --> 00:14:41,105
with this rapidly changing
technological environment,
263
00:14:41,107 --> 00:14:44,158
and the degree of diversity
is generating benefits
264
00:14:44,160 --> 00:14:47,111
in the context
of innovations.
265
00:14:47,113 --> 00:14:51,082
But this is where
it gets controversial,
266
00:14:51,084 --> 00:14:56,053
because if there is a perfect
amount of genetic diversity,
267
00:14:56,055 --> 00:15:01,125
that means there are also less
optimal mixtures of humanity.
268
00:15:01,127 --> 00:15:03,127
Oded and Quamrul found
269
00:15:03,129 --> 00:15:06,263
that societies lacking
in genetic diversity
270
00:15:06,265 --> 00:15:09,183
tend not to be innovative.
271
00:15:09,185 --> 00:15:10,818
On the con side,
272
00:15:10,820 --> 00:15:14,321
societies that tend
to be more diverse
273
00:15:14,323 --> 00:15:18,409
are less trustful, less
cohesive, less coordinated.
274
00:15:18,411 --> 00:15:23,197
An overly diverse country,
by this analysis, is the Congo,
275
00:15:23,199 --> 00:15:27,868
where ethnic groups have been
dividing for over 50,000 years.
276
00:15:27,870 --> 00:15:30,037
Now it's mired in civil war.
277
00:15:30,039 --> 00:15:31,589
On the other hand,
278
00:15:31,591 --> 00:15:35,042
a country like Poland
isn't diverse enough.
279
00:15:35,044 --> 00:15:39,130
It has only been inhabited
for about 5,000 years.
280
00:15:39,132 --> 00:15:42,183
So it is very coherent
ethnically,
281
00:15:42,185 --> 00:15:45,769
but it is not a powerhouse
of innovation.
282
00:15:45,771 --> 00:15:50,558
Oded and Quamrul say a blend
somewhere in the middle
283
00:15:50,560 --> 00:15:54,061
lets new voices emerge,
promotes innovation,
284
00:15:54,063 --> 00:15:57,398
and leads to economic health.
285
00:15:57,400 --> 00:16:03,187
But some anthropologists say
the economists are wrong.
286
00:16:03,189 --> 00:16:05,072
There is no sweet spot.
287
00:16:05,074 --> 00:16:08,859
They also charge that Oded
and Quamrul's work
288
00:16:08,861 --> 00:16:12,129
could be used to justify
discrimination
289
00:16:12,131 --> 00:16:13,631
or even genocide
290
00:16:13,633 --> 00:16:17,051
to reduce diversity in the name
of economic progress.
291
00:16:17,053 --> 00:16:21,305
The professors say their work
has been misunderstood
292
00:16:21,307 --> 00:16:24,391
because an appreciation
of diversity
293
00:16:24,393 --> 00:16:26,644
can overcome its drawbacks.
294
00:16:26,646 --> 00:16:30,598
We can assure that societies
that are overly diverse,
295
00:16:30,600 --> 00:16:32,566
such as the societies
in Africa,
296
00:16:32,568 --> 00:16:35,819
can benefit from their level
of diversity
297
00:16:35,821 --> 00:16:38,489
simply by assuring that,
in fact,
298
00:16:38,491 --> 00:16:42,059
diversity is cherished,
diversity is respected,
299
00:16:42,061 --> 00:16:45,029
and ethnic groups
are being protected.
300
00:16:45,031 --> 00:16:47,281
We are not saying
that there are some traits
301
00:16:47,283 --> 00:16:48,899
that are better
than others
302
00:16:48,901 --> 00:16:50,751
for, you know,
economic prosperity,
303
00:16:50,753 --> 00:16:53,420
both at an individual level
or at the societal level.
304
00:16:53,422 --> 00:16:55,256
What we're saying is
it's the mix.
305
00:16:55,258 --> 00:16:59,576
It appears that since
human civilization began,
306
00:16:59,578 --> 00:17:02,412
some have always had more
than others,
307
00:17:02,414 --> 00:17:05,049
be it individuals or nations.
308
00:17:05,051 --> 00:17:07,551
Wealth and power
may change hands,
309
00:17:07,553 --> 00:17:09,970
but the difference remains.
310
00:17:09,972 --> 00:17:11,922
Can this be changed?
311
00:17:11,924 --> 00:17:15,776
Can we create a society in which
there is wealth for everyone
312
00:17:15,778 --> 00:17:17,561
and not just a few?
313
00:17:17,563 --> 00:17:19,196
According to this man,
314
00:17:19,198 --> 00:17:21,815
the odds may be stacked
against us.
315
00:17:21,817 --> 00:17:25,653
Poverty may be
an inevitable outcome
316
00:17:25,655 --> 00:17:28,072
of the laws of physics.
317
00:17:32,636 --> 00:17:34,570
In the 19th century,
318
00:17:34,572 --> 00:17:37,406
physicists developed mathematics
319
00:17:37,408 --> 00:17:41,811
that could predict
the seemingly random movements
320
00:17:41,813 --> 00:17:43,512
of gas molecules.
321
00:17:44,781 --> 00:17:49,318
Today, Wall Street
is full of physicists
322
00:17:49,320 --> 00:17:52,321
trying to find similar equations
323
00:17:52,323 --> 00:17:55,658
to predict the movement
of money.
324
00:17:55,660 --> 00:17:58,611
They haven't been
very successful,
325
00:17:58,613 --> 00:18:00,696
but that could be because
326
00:18:00,698 --> 00:18:04,033
they're overlooking
one crucial factor.
327
00:18:04,035 --> 00:18:08,737
The rich don't play by the same
rules as everyone else.
328
00:18:11,541 --> 00:18:16,245
Victor Yakovenko is looking for
the causes of income disparity.
329
00:18:16,247 --> 00:18:19,632
A Professor at the University
of Maryland,
330
00:18:19,634 --> 00:18:23,135
Victor helped create
econophysics.
331
00:18:23,137 --> 00:18:28,274
He used the science of
thermodynamics to study markets,
332
00:18:28,276 --> 00:18:30,926
capital, and earning power.
333
00:18:30,928 --> 00:18:34,897
Victor has found there are
really two economies:
334
00:18:34,899 --> 00:18:38,484
One for the rich
and one for everyone else.
335
00:18:38,486 --> 00:18:41,603
Yakovenko: My message is, there's
no such thing as middle class,
336
00:18:41,605 --> 00:18:43,489
because if I wanted
to draw a boundary
337
00:18:43,491 --> 00:18:46,208
to define the middle class,
I don't know where to put it.
338
00:18:46,210 --> 00:18:48,043
Data has no features,
no structures.
339
00:18:48,045 --> 00:18:49,945
Data shows me that there are
only two classes:
340
00:18:49,947 --> 00:18:51,547
Lower class and upper class.
That's it.
341
00:18:51,549 --> 00:18:55,668
Freeman: Victor's data shows
97% of the population
342
00:18:55,670 --> 00:19:00,256
is in the lower class
and 3% is in the upper class.
343
00:19:00,258 --> 00:19:05,394
For example, today, there are
about 1,500 multi-billionaires
344
00:19:05,396 --> 00:19:06,929
in the world
345
00:19:06,931 --> 00:19:11,567
and 2 billion people who live
on less than $2 a day.
346
00:19:11,569 --> 00:19:15,104
Of the 311 million people
in America,
347
00:19:15,106 --> 00:19:19,441
the 9 million at the top
have most of the money.
348
00:19:19,443 --> 00:19:22,978
In this vault,
we put 100 gold bars
349
00:19:22,980 --> 00:19:25,748
to illustrate
probability distribution
350
00:19:25,750 --> 00:19:28,918
of income and wealth
in the American economy.
351
00:19:28,920 --> 00:19:32,154
So, here we have
different levels.
352
00:19:32,156 --> 00:19:33,488
Poor people with low income,
353
00:19:33,490 --> 00:19:35,157
and then progressively
higher income.
354
00:19:35,159 --> 00:19:39,461
These three shelves represent
50% of the population --
355
00:19:39,463 --> 00:19:41,630
a half of the population --
356
00:19:41,632 --> 00:19:44,350
and all this total income of
the half of the population,
357
00:19:44,352 --> 00:19:46,802
you count these bars,
it's only 10 bars out of 100.
358
00:19:46,804 --> 00:19:49,722
In other words,
the lower 50% of population
359
00:19:49,724 --> 00:19:53,008
receives only 10% of total
income of the system.
360
00:19:53,010 --> 00:19:54,727
That's income inequality.
361
00:19:54,729 --> 00:19:59,514
Freeman: This imbalance between
the haves and have nots,
362
00:19:59,516 --> 00:20:03,652
though dramatic,
is not unique to the U.S.
363
00:20:03,654 --> 00:20:05,988
Yakovenko: Pretty much
any society has inequality --
364
00:20:05,990 --> 00:20:08,374
a few rich people,
many poor people --
365
00:20:08,376 --> 00:20:10,292
and it's a persistent
feature
366
00:20:10,294 --> 00:20:12,027
of pretty much all societies.
367
00:20:12,029 --> 00:20:13,162
And so I said,
368
00:20:13,164 --> 00:20:15,664
maybe there's some kind
of deep reason for this,
369
00:20:15,666 --> 00:20:19,051
and maybe we can understand them
by knowledge of its physics.
370
00:20:19,053 --> 00:20:22,221
Freeman: Victor took concepts
from physics,
371
00:20:22,223 --> 00:20:25,140
such as the behavior
of molecules,
372
00:20:25,142 --> 00:20:28,143
and applied them
to financial data.
373
00:20:28,145 --> 00:20:31,263
He discovered that
in virtually all countries,
374
00:20:31,265 --> 00:20:33,649
there is the economy
of the rich
375
00:20:33,651 --> 00:20:37,269
and a very different economy
for everyone else.
376
00:20:37,271 --> 00:20:43,659
In America, the 3% with incomes
greater than $150,000 a year
377
00:20:43,661 --> 00:20:45,778
might as well live
in a different reality
378
00:20:45,780 --> 00:20:48,563
than the less well-off 97%.
379
00:20:48,565 --> 00:20:53,369
Victor calls them the thermal
and the superthermal economies.
380
00:20:53,371 --> 00:20:57,572
Each behaves in ways physicists
find eerily familiar.
381
00:20:57,574 --> 00:21:00,092
Consider this pot
of boiling water.
382
00:21:00,094 --> 00:21:03,178
The water molecules in the pot
jiggle around
383
00:21:03,180 --> 00:21:06,432
and bump into each
other with no apparent order,
384
00:21:06,434 --> 00:21:09,584
but these random movements
actually fit a pattern
385
00:21:09,586 --> 00:21:11,637
called a Boltzmann distribution.
386
00:21:11,639 --> 00:21:14,923
It describes how energy
is spread between particles
387
00:21:14,925 --> 00:21:17,476
when they achieve
thermal equilibrium.
388
00:21:17,478 --> 00:21:19,812
So, we see this distribution
in physics
389
00:21:19,814 --> 00:21:22,398
when atoms collide
and redistribute energy,
390
00:21:22,400 --> 00:21:24,733
but we also see
the same distribution
391
00:21:24,735 --> 00:21:26,151
in distribution of money.
392
00:21:26,153 --> 00:21:28,070
Freeman:
Strangely enough,
393
00:21:28,072 --> 00:21:32,408
this is how money is scattered
across 97% of the population.
394
00:21:32,410 --> 00:21:36,378
Even if everyone starts out
with equal amounts of cash,
395
00:21:36,380 --> 00:21:40,749
over time, the money spreads out
in a Boltzmann distribution.
396
00:21:40,751 --> 00:21:43,719
There will be lots of people
in the middle,
397
00:21:43,721 --> 00:21:48,507
and fewer who are very poor
or relatively wealthy,
398
00:21:48,509 --> 00:21:53,012
but for the 3% at the top,
it's a very different story.
399
00:21:53,014 --> 00:21:55,230
The thermal economy gives way
400
00:21:55,232 --> 00:21:58,817
to what Victor calls
the superthermal economy.
401
00:21:58,819 --> 00:22:03,238
The superthermal economy is like
the high-energy molecules
402
00:22:03,240 --> 00:22:07,359
that break free of boiling water
and escape as steam.
403
00:22:07,361 --> 00:22:11,330
Yakovenko: The molecules of water,
they have certain temperature.
404
00:22:11,332 --> 00:22:13,815
So the vapor here would be
the analog of the upper class,
405
00:22:13,817 --> 00:22:15,167
because these are the molecules
406
00:22:15,169 --> 00:22:16,752
with the highest
possible energy.
407
00:22:16,754 --> 00:22:19,338
Freeman:
These high-energy molecules
408
00:22:19,340 --> 00:22:21,757
no longer follow a Boltzmann
distribution.
409
00:22:21,759 --> 00:22:26,128
Instead, they are governed
by a power law,
410
00:22:26,130 --> 00:22:29,298
a distribution that
has no upper limit.
411
00:22:32,352 --> 00:22:37,189
So, why are there two economies
with two sets of rules?
412
00:22:37,191 --> 00:22:40,526
The 97% of the population
in the lower classes
413
00:22:40,528 --> 00:22:43,445
live off the money
from their paycheck.
414
00:22:43,447 --> 00:22:47,032
Meanwhile, the upper class
invests its money
415
00:22:47,034 --> 00:22:49,485
in financial markets
and property.
416
00:22:49,487 --> 00:22:52,404
Unlike people living
on a fixed wage,
417
00:22:52,406 --> 00:22:55,157
the rich have their money
in a part of the economy
418
00:22:55,159 --> 00:22:56,992
that has no limits.
419
00:22:56,994 --> 00:23:01,630
Like steam, it has escaped
the boundaries of the pot.
420
00:23:01,632 --> 00:23:04,666
The pattern
stretches across history
421
00:23:04,668 --> 00:23:06,885
from ancient Egypt to today.
422
00:23:06,887 --> 00:23:10,255
No matter how equal
a nation starts,
423
00:23:10,257 --> 00:23:13,509
this pattern
seems to take over.
424
00:23:13,511 --> 00:23:15,727
Take Israel.
425
00:23:15,729 --> 00:23:18,147
When formed in 1948,
426
00:23:18,149 --> 00:23:22,568
Israel was a highly egalitarian
country with a socialist bent.
427
00:23:22,570 --> 00:23:27,856
By design, people had more
or less the same income.
428
00:23:27,858 --> 00:23:31,393
But Israel's income distribution
slowly broadened,
429
00:23:31,395 --> 00:23:35,914
and by 1990, it, too,
had reached the shape
430
00:23:35,916 --> 00:23:39,118
of a thermal economy.
431
00:23:39,120 --> 00:23:40,252
So, in 40 years or so,
432
00:23:40,254 --> 00:23:42,204
it evolved from
highly equal distribution
433
00:23:42,206 --> 00:23:43,922
to this broad
unequal distribution,
434
00:23:43,924 --> 00:23:47,909
and after that, I believe,
it developed upper class,
435
00:23:47,911 --> 00:23:51,246
the superthermal tail,
even higher inequality.
436
00:23:51,248 --> 00:23:55,551
Equality, perfect equality,
is totally unstable. Okay?
437
00:23:55,553 --> 00:23:57,886
Once you engage
into any transaction,
438
00:23:57,888 --> 00:23:59,354
equality goes away.
439
00:23:59,356 --> 00:24:05,194
The super rich operate by their
own separate physical laws,
440
00:24:05,196 --> 00:24:10,866
but they have to live
on the same planet as the poor.
441
00:24:10,868 --> 00:24:16,071
Biology could hold the key
to our mutual survival.
442
00:24:20,073 --> 00:24:23,335
Charles Darwin saw life on earth
443
00:24:23,453 --> 00:24:26,487
as a bitter struggle
for survival.
444
00:24:26,489 --> 00:24:28,673
That seems like carte blanche
445
00:24:28,675 --> 00:24:31,626
for the rich to take
what they want.
446
00:24:31,628 --> 00:24:33,160
Greed is king,
447
00:24:33,162 --> 00:24:37,665
but our understanding
of evolution is evolving.
448
00:24:37,667 --> 00:24:42,937
Cooperation and community
may be just as essential
449
00:24:42,939 --> 00:24:46,941
to our survival as selfishness.
450
00:24:50,312 --> 00:24:55,283
Tracy Mincer studies the oldest
communities on earth:
451
00:24:55,285 --> 00:24:57,402
Colonies of microbes.
452
00:24:57,404 --> 00:25:01,406
Working out of the Woods Hole
Oceanographic Institute
453
00:25:01,408 --> 00:25:02,857
in Massachusetts,
454
00:25:02,859 --> 00:25:06,044
Tracy and his team
of microbiologists
455
00:25:06,046 --> 00:25:11,215
travel the world gathering
exotic microorganisms.
456
00:25:11,217 --> 00:25:13,001
I feel like I'm really looking
457
00:25:13,003 --> 00:25:16,203
at some of the last wilderness
left on earth to explore
458
00:25:16,205 --> 00:25:20,708
because what we're seeing
is wilderness in a tube.
459
00:25:20,710 --> 00:25:24,345
We're harvesting microbes
from their wild sources
460
00:25:24,347 --> 00:25:27,065
and looking at how
they're working.
461
00:25:27,067 --> 00:25:32,070
Freeman: Single-celled organisms
are everywhere:
462
00:25:32,072 --> 00:25:36,691
In the soil, in the trees,
in our bodies.
463
00:25:36,693 --> 00:25:40,194
They were at the ground floor
of evolution,
464
00:25:40,196 --> 00:25:41,946
but they are so tiny,
465
00:25:41,948 --> 00:25:45,450
millions can fit into the eye
of a needle.
466
00:25:45,452 --> 00:25:46,868
Until recently,
467
00:25:46,870 --> 00:25:50,571
we could only see how these
creatures functioned as a group.
468
00:25:50,573 --> 00:25:54,042
We couldn't see the molecular
processes happening
469
00:25:54,044 --> 00:25:56,094
inside individual microbes.
470
00:25:56,096 --> 00:25:58,629
But that has all changed.
471
00:26:01,133 --> 00:26:04,102
Mincer: It's a very exciting
time right now,
472
00:26:04,104 --> 00:26:08,356
because we can look
at really big questions
473
00:26:08,358 --> 00:26:12,860
that were asked 40 or 50 years
ago in science
474
00:26:12,862 --> 00:26:14,595
but were unanswerable
475
00:26:14,597 --> 00:26:18,449
because of the limitations
in the technical tools.
476
00:26:18,451 --> 00:26:21,035
Now, with the revolution
in genomics
477
00:26:21,037 --> 00:26:24,288
and sequencing and molecular
biology and cloning,
478
00:26:24,290 --> 00:26:27,274
we can look at a single cell
that's growing
479
00:26:27,276 --> 00:26:30,778
and see the signals that are
being produced from it
480
00:26:30,780 --> 00:26:34,549
and understand what's happening
at that single-cell level.
481
00:26:35,951 --> 00:26:39,053
Freeman: One would expect
microbes to be ruled
482
00:26:39,055 --> 00:26:41,622
by the most basic laws
of nature,
483
00:26:41,624 --> 00:26:43,391
survival of the fittest,
484
00:26:43,393 --> 00:26:46,394
where every organism
fights for itself,
485
00:26:46,396 --> 00:26:50,348
but Tracy has found that
even these simple creatures
486
00:26:50,350 --> 00:26:53,134
are capable of cooperation.
487
00:26:53,136 --> 00:26:56,737
Tracy watches how different
strains of marine bacteria
488
00:26:56,739 --> 00:27:00,775
defend themselves
against predators.
489
00:27:00,777 --> 00:27:03,861
He places a strain
of vibrio ordalii,
490
00:27:03,863 --> 00:27:08,249
a bacterium that causes disease
in fish, in a petri dish.
491
00:27:08,251 --> 00:27:10,317
Then he adds brine shrimp,
492
00:27:10,319 --> 00:27:13,754
predators that like to munch
on bacterium.
493
00:27:13,756 --> 00:27:15,123
In self defense,
494
00:27:15,125 --> 00:27:19,210
some of the vibrio bacteria
begin to produce a toxin
495
00:27:19,212 --> 00:27:22,346
that kills the predatory
brine shrimp.
496
00:27:22,348 --> 00:27:26,267
This toxin does not kill
vibrio's closest relatives,
497
00:27:26,269 --> 00:27:29,720
the members of what biologists
call its guild.
498
00:27:29,722 --> 00:27:32,857
What's striking
is that they never killed
499
00:27:32,859 --> 00:27:34,642
within their own guild.
500
00:27:34,644 --> 00:27:36,510
They killed only outside.
501
00:27:36,512 --> 00:27:38,846
Freeman:
Even more surprisingly,
502
00:27:38,848 --> 00:27:43,184
the bacteria that make the
antibiotics sacrifice themselves
503
00:27:43,186 --> 00:27:45,570
when they kill the brine shrimp.
504
00:27:45,572 --> 00:27:49,874
By taking one for the team,
they protect the entire group.
505
00:27:49,876 --> 00:27:53,878
Down at the level of microbes,
we see altruism:
506
00:27:53,880 --> 00:27:57,748
Self-sacrifice
for the good of the community.
507
00:27:57,750 --> 00:28:01,669
Mincer:
Altruism holds for microbes,
508
00:28:01,671 --> 00:28:05,706
because of these
guild-type structures
509
00:28:05,708 --> 00:28:09,210
where it really is for the
betterment of the microbes
510
00:28:09,212 --> 00:28:12,713
to be able to sacrifice.
511
00:28:12,715 --> 00:28:15,266
So, things aren't always
fighting to the death
512
00:28:15,268 --> 00:28:16,267
at all times.
513
00:28:16,269 --> 00:28:19,604
It takes a group effort.
514
00:28:19,606 --> 00:28:21,989
Freeman:
For organisms to cooperate,
515
00:28:21,991 --> 00:28:23,724
they need to communicate,
516
00:28:23,726 --> 00:28:28,729
the way that Tracy's team works
to gather samples.
517
00:28:28,731 --> 00:28:32,450
But how do creatures with
no brains or vocal chords
518
00:28:32,452 --> 00:28:36,070
convey a message that causes
them to act together?
519
00:28:39,291 --> 00:28:42,260
The answer is embedded
in nature.
520
00:28:42,262 --> 00:28:46,747
There is a chemical form of
communication we cannot see
521
00:28:46,749 --> 00:28:50,084
but which is an essential part
of life.
522
00:28:50,086 --> 00:28:55,556
The tree behind me has roots
to get at elemental nutrients,
523
00:28:55,558 --> 00:28:58,926
and it has a giant trunk
524
00:28:58,928 --> 00:29:00,861
going up towards the light
525
00:29:00,863 --> 00:29:04,282
where this beautiful tree
is harvesting light.
526
00:29:04,284 --> 00:29:06,067
Now, microbes have
a real problem,
527
00:29:06,069 --> 00:29:08,102
because they're --
they're really tiny,
528
00:29:08,104 --> 00:29:11,939
and for them to be able to
connect to elemental nutrients
529
00:29:11,941 --> 00:29:13,541
that they need
530
00:29:13,543 --> 00:29:15,626
and be able to have
an energy source,
531
00:29:15,628 --> 00:29:17,545
they have to work together.
532
00:29:17,547 --> 00:29:23,167
Unlike us, where we have sight
and we talk and can hear,
533
00:29:23,169 --> 00:29:24,885
microbes can't do any of that.
534
00:29:24,887 --> 00:29:28,389
They rely upon chemistry
that they produce
535
00:29:28,391 --> 00:29:31,458
to be able to signal
to one another.
536
00:29:31,460 --> 00:29:34,262
So they have to work
with one another
537
00:29:34,264 --> 00:29:37,298
and coordinate with one another
538
00:29:37,300 --> 00:29:40,968
or fight others
to keep others out.
539
00:29:40,970 --> 00:29:44,355
Freeman:
Individuals may be selfish,
540
00:29:44,357 --> 00:29:46,941
but even the simplest organisms
seem programmed
541
00:29:46,943 --> 00:29:49,610
to put the survival
of the species
542
00:29:49,612 --> 00:29:51,829
ahead of their own needs.
543
00:29:51,831 --> 00:29:54,648
But at what point
in our evolutionary past
544
00:29:54,650 --> 00:29:58,536
did we move beyond
expedient cooperation
545
00:29:58,538 --> 00:30:01,488
and develop a sense of fairness?
546
00:30:01,490 --> 00:30:04,658
It may be linked to the ability
of primates
547
00:30:04,660 --> 00:30:08,262
to communicate
sophisticated emotions.
548
00:30:08,264 --> 00:30:11,098
This woman has found
549
00:30:11,100 --> 00:30:14,635
that while inequality is part
of our genetic roots,
550
00:30:14,637 --> 00:30:17,638
so is a strong desire
for fairness.
551
00:30:20,393 --> 00:30:23,828
When a pride of lions
makes a kill,
552
00:30:23,830 --> 00:30:28,083
the dominant male will
take the "lion's share."
553
00:30:28,085 --> 00:30:30,885
We accept this as nature's way.
554
00:30:30,887 --> 00:30:34,839
But when we see the rich taking
more than they need,
555
00:30:34,841 --> 00:30:37,559
we cry, "not fair."
556
00:30:37,561 --> 00:30:42,681
This concept of fairness seems
like just a modern human idea,
557
00:30:42,683 --> 00:30:46,551
but could it have been woven
into us by evolution?
558
00:30:46,553 --> 00:30:51,940
Could other species have evolved
to rage against inequity?
559
00:30:51,942 --> 00:30:58,697
Chimps share 98.5%
of their genes with humans,
560
00:30:58,699 --> 00:31:00,999
and like the division
between the super rich
561
00:31:01,001 --> 00:31:02,917
and everyone else
in human society,
562
00:31:02,919 --> 00:31:06,538
chimp society
is also unequally divided.
563
00:31:06,540 --> 00:31:10,341
A small group of Alpha males
calls the shots
564
00:31:10,343 --> 00:31:12,577
and hoards the resources,
565
00:31:12,579 --> 00:31:15,930
while the rest
live off the leftovers.
566
00:31:15,932 --> 00:31:18,633
The chimps lower in social rank
are sicker,
567
00:31:18,635 --> 00:31:20,769
produce more stress hormones,
568
00:31:20,771 --> 00:31:23,605
and have trouble
finding sexual partners.
569
00:31:23,607 --> 00:31:27,759
But according to evolutionary
biologist Sarah Brosnan,
570
00:31:27,761 --> 00:31:31,362
chimps don't blindly accept
their lot in life.
571
00:31:31,364 --> 00:31:35,066
Sarah is the director
of the comparative economics
572
00:31:35,068 --> 00:31:37,702
and behavioral studies
laboratory
573
00:31:37,704 --> 00:31:39,788
at Georgia State University.
574
00:31:39,790 --> 00:31:41,990
You need to go get your mom
to come out here.
575
00:31:41,992 --> 00:31:43,291
She could use some grapes.
576
00:31:43,293 --> 00:31:46,077
Freeman:
She looks for the origins
577
00:31:46,079 --> 00:31:48,279
of human social behavior.
578
00:31:48,281 --> 00:31:52,050
Brosnan: I am interested in the
evolution of decision making.
579
00:31:52,052 --> 00:31:55,136
How did we get to where we make
the decisions that we do?
580
00:31:55,138 --> 00:31:58,056
And you can't, obviously,
study fossilized decisions,
581
00:31:58,058 --> 00:31:59,057
in most cases.
582
00:31:59,059 --> 00:32:01,292
So what we do is
we study other primates,
583
00:32:01,294 --> 00:32:03,461
because as we ourselves
are primates,
584
00:32:03,463 --> 00:32:05,647
they're sort of the closest
we can get
585
00:32:05,649 --> 00:32:08,066
to understanding
the evolutionary history.
586
00:32:09,652 --> 00:32:11,436
[ Object clangs ]
587
00:32:11,438 --> 00:32:14,856
Freeman: Sarah is
particularly interested
588
00:32:14,858 --> 00:32:19,027
in how our primate cousins
respond to inequity.
589
00:32:19,029 --> 00:32:20,745
Brosnan:
So, inequality would be
590
00:32:20,747 --> 00:32:23,147
when individuals don't get
exactly the same thing,
591
00:32:23,149 --> 00:32:26,117
whereas inequity would be
when you get something
592
00:32:26,119 --> 00:32:28,336
that's not relative
to the input.
593
00:32:28,338 --> 00:32:29,871
So, unequal pay would be
594
00:32:29,873 --> 00:32:32,323
we don't get exactly
the same amount.
595
00:32:32,325 --> 00:32:35,677
Inequitable pay would be
that maybe you do a harder job
596
00:32:35,679 --> 00:32:38,713
than me, but you're making
the same salary as me.
597
00:32:38,715 --> 00:32:41,966
Freeman: Today, Sarah is
conducting an experiment
598
00:32:41,968 --> 00:32:43,551
with Capuchin monkeys
599
00:32:43,553 --> 00:32:45,503
to see how they respond
600
00:32:45,505 --> 00:32:48,439
when one monkey gets a better
reward than another.
601
00:32:50,676 --> 00:32:52,560
So, what we do is,
we take two individuals
602
00:32:52,562 --> 00:32:53,812
from the same social group,
603
00:32:53,814 --> 00:32:55,346
and they sit next
to one another,
604
00:32:55,348 --> 00:32:56,648
and they take turns doing a task
605
00:32:56,650 --> 00:32:58,182
and getting a food reward
for it.
606
00:32:58,184 --> 00:33:00,401
So you can think of it as doing
work and getting paid.
607
00:33:00,403 --> 00:33:03,872
Freeman: At first, both monkeys
get bell peppers.
608
00:33:03,874 --> 00:33:06,074
Here you go.
609
00:33:06,076 --> 00:33:09,160
Then one monkey is rewarded
with grapes.
610
00:33:09,162 --> 00:33:12,330
Keep in mind,
they both like bell peppers,
611
00:33:12,332 --> 00:33:14,549
but they like grapes even more.
612
00:33:14,551 --> 00:33:19,370
After seeing his partner perform
the same trick,
613
00:33:19,372 --> 00:33:24,542
but get a better reward,
this monkey loses his cool.
614
00:33:24,544 --> 00:33:27,211
He starts tossing his peppers
on the floor.
615
00:33:27,213 --> 00:33:29,046
Brosnan:
I was really surprised
616
00:33:29,048 --> 00:33:31,983
when we got individuals
actively refusing food rewards.
617
00:33:31,985 --> 00:33:34,319
So that's like giving your dog
a milk-bone
618
00:33:34,321 --> 00:33:35,854
and having them turn it down
619
00:33:35,856 --> 00:33:38,773
because the dog down the street
got a bigger milk-bone.
620
00:33:38,775 --> 00:33:41,576
You just don't expect something
like that to happen.
621
00:33:41,578 --> 00:33:44,078
Freeman: Animals are willing
to accept
622
00:33:44,080 --> 00:33:47,565
that a dominant male or female
may get better food
623
00:33:47,567 --> 00:33:49,284
and a little more of it,
624
00:33:49,286 --> 00:33:51,169
but Sarah's research shows
625
00:33:51,171 --> 00:33:54,505
there comes a point
where they won't accept it.
626
00:33:54,507 --> 00:33:58,009
And the animals in power
seem to realize this.
627
00:33:58,011 --> 00:34:00,795
Some have even refused
the grapes
628
00:34:00,797 --> 00:34:04,265
when they have seen
their partner is upset.
629
00:34:04,267 --> 00:34:06,417
Just because you're
the dominant individual,
630
00:34:06,419 --> 00:34:07,585
typically an Alpha male,
631
00:34:07,587 --> 00:34:09,721
doesn't mean that you get
anything you want.
632
00:34:09,723 --> 00:34:11,556
So they typically have
first access,
633
00:34:11,558 --> 00:34:13,090
or they might have better access
634
00:34:13,092 --> 00:34:15,026
or be able to get
the better rewards,
635
00:34:15,028 --> 00:34:16,110
if they're limited,
636
00:34:16,112 --> 00:34:18,095
but they can't just take
what they want.
637
00:34:18,097 --> 00:34:19,314
For starters,
638
00:34:19,316 --> 00:34:21,316
they need the other individuals
in the group,
639
00:34:21,318 --> 00:34:23,618
so they need to give
the other individuals
640
00:34:23,620 --> 00:34:25,904
sufficient incentive
to stay in the group.
641
00:34:25,906 --> 00:34:29,607
Freeman: Sarah has found
the Alpha is less a dictator
642
00:34:29,609 --> 00:34:32,961
and more a leader
of a coalition government.
643
00:34:32,963 --> 00:34:34,329
To keep his job,
644
00:34:34,331 --> 00:34:37,632
he has to maintain the support
of monkeys
645
00:34:37,634 --> 00:34:39,617
at all levels of society.
646
00:34:39,619 --> 00:34:41,836
He must observe social rules,
647
00:34:41,838 --> 00:34:45,139
and one of the most
deeply ingrained rules
648
00:34:45,141 --> 00:34:48,059
is to be fair
to the other monkeys.
649
00:34:48,061 --> 00:34:49,560
Like other primates,
650
00:34:49,562 --> 00:34:53,130
humans also accept a certain
amount of inequality,
651
00:34:53,132 --> 00:34:58,353
but most of us
cannot abide inequity.
652
00:34:58,355 --> 00:34:59,654
So, a human sense of fairness
653
00:34:59,656 --> 00:35:00,939
is more than just not liking
654
00:35:00,941 --> 00:35:02,640
when you get less
than someone else.
655
00:35:02,642 --> 00:35:03,825
Really, what we mean
656
00:35:03,827 --> 00:35:05,977
when we talk about a human sense
of fairness
657
00:35:05,979 --> 00:35:08,780
is this almost moral obligation
to treat people equally,
658
00:35:08,782 --> 00:35:10,415
to have things work out equally.
659
00:35:10,417 --> 00:35:13,251
This may be the underlying
driving force for the evolution
660
00:35:13,253 --> 00:35:14,535
of the sense of fairness.
661
00:35:14,537 --> 00:35:16,504
Maybe by having a sense
of fairness,
662
00:35:16,506 --> 00:35:18,322
it allows you to be
a better judge
663
00:35:18,324 --> 00:35:20,341
of when you're with a good,
cooperative partner,
664
00:35:20,343 --> 00:35:21,876
and when it's time
to go find somebody else
665
00:35:21,878 --> 00:35:23,160
who might be better.
666
00:35:23,162 --> 00:35:26,931
Freeman: The battles between
selfishness and fairness
667
00:35:26,933 --> 00:35:29,968
keeps us moving forward
as a society.
668
00:35:29,970 --> 00:35:33,838
But when individuals act
with extreme selfishness,
669
00:35:33,840 --> 00:35:36,524
their behavior can put
many others at risk.
670
00:35:36,526 --> 00:35:39,394
They can lead to revolt.
671
00:35:39,396 --> 00:35:43,014
Both apes and humans
will overthrow leaders
672
00:35:43,016 --> 00:35:44,899
who abuse their power.
673
00:35:44,901 --> 00:35:48,086
Perhaps there's a gentler way.
674
00:35:48,088 --> 00:35:49,537
In human societies,
675
00:35:49,539 --> 00:35:53,074
a wealthy few may lord it over
a vast lower class,
676
00:35:53,076 --> 00:35:55,743
but the poor do have power.
677
00:35:55,745 --> 00:35:59,998
They can use the innate
human instinct for fairness
678
00:36:00,000 --> 00:36:01,833
as a secret weapon.
679
00:36:04,057 --> 00:36:08,727
Unequal distribution of wealth
is as old as history,
680
00:36:09,301 --> 00:36:11,969
and so is resentment about it.
681
00:36:11,971 --> 00:36:16,740
The richest 85 people
on this planet
682
00:36:16,742 --> 00:36:22,579
have as much money
as the poorest 3.5 billion.
683
00:36:22,581 --> 00:36:26,784
How can we shrink
the ever-widening divide
684
00:36:26,786 --> 00:36:30,420
between the haves
and the have nots?
685
00:36:41,599 --> 00:36:45,035
Jennifer Jacquet is a clinical
assistant professor
686
00:36:45,037 --> 00:36:48,322
of environmental studies
at New York University.
687
00:36:48,324 --> 00:36:51,408
Lately, she's been contemplating
a phenomenon
688
00:36:51,410 --> 00:36:55,162
called the tragedy
of the commons.
689
00:36:55,164 --> 00:36:59,115
It has its roots
in mankind's agrarian past.
690
00:36:59,117 --> 00:37:01,451
The commons is a pasture
where herdsmen can decide
691
00:37:01,453 --> 00:37:03,286
whether or not to graze
their cattle.
692
00:37:03,288 --> 00:37:07,457
The benefits of adding a single
cow are individualized,
693
00:37:07,459 --> 00:37:09,426
but the costs of adding that cow
694
00:37:09,428 --> 00:37:11,678
are shared among
all the herdsmen,
695
00:37:11,680 --> 00:37:14,130
and this is the tragedy
of the commons:
696
00:37:14,132 --> 00:37:16,984
The tension between the
individual and the group.
697
00:37:16,986 --> 00:37:19,770
And the real problem
is that just one herdsman
698
00:37:19,772 --> 00:37:21,855
who decides to add
too many cattle
699
00:37:21,857 --> 00:37:25,359
can ruin it for everybody else.
700
00:37:25,361 --> 00:37:29,446
Freeman: The tragedy of
the commons, Jennifer says,
701
00:37:29,448 --> 00:37:31,532
is now a global tragedy,
702
00:37:31,534 --> 00:37:34,835
a tragedy that is
being accelerated
703
00:37:34,837 --> 00:37:38,255
by the selfishness
of the super rich.
704
00:37:38,257 --> 00:37:41,008
Jacquet:
There's the global oceans.
705
00:37:41,010 --> 00:37:42,593
There's the atmosphere.
706
00:37:42,595 --> 00:37:44,661
There are the global forests.
707
00:37:44,663 --> 00:37:46,329
There are migratory birds.
708
00:37:46,331 --> 00:37:47,931
There are so many things
709
00:37:47,933 --> 00:37:51,468
that behave exactly
like this common pasture.
710
00:37:51,470 --> 00:37:52,853
So we now live in a world
711
00:37:52,855 --> 00:37:55,055
in which a very small
minority of people
712
00:37:55,057 --> 00:37:57,441
is capable of ruining it
for everyone else.
713
00:37:57,443 --> 00:38:00,894
Freeman: Typically, society
keeps citizens in line
714
00:38:00,896 --> 00:38:02,446
by the rule of law.
715
00:38:02,448 --> 00:38:04,180
But around the world,
716
00:38:04,182 --> 00:38:08,518
the extremely wealthy are often
able to circumvent the law
717
00:38:08,520 --> 00:38:11,405
or have laws changed
to suit them.
718
00:38:11,407 --> 00:38:13,857
So how do we stop these people
719
00:38:13,859 --> 00:38:16,910
from depleting
our shared resources?
720
00:38:16,912 --> 00:38:20,363
Revolutions have been fought
over such things,
721
00:38:20,365 --> 00:38:27,054
but Jennifer argues the only
sensible recourse is shame.
722
00:38:27,056 --> 00:38:28,388
So, when we talk about shame,
723
00:38:28,390 --> 00:38:30,507
what we're actually talking
about is a tool,
724
00:38:30,509 --> 00:38:31,508
a type of punishment.
725
00:38:31,510 --> 00:38:33,060
The threat of exposure,
726
00:38:33,062 --> 00:38:35,679
this idea that
we could show the crowd
727
00:38:35,681 --> 00:38:37,564
that you haven't been behaving
728
00:38:37,566 --> 00:38:40,216
like the rest of the group
would like,
729
00:38:40,218 --> 00:38:42,719
this is the type of shame
I examine.
730
00:38:42,721 --> 00:38:46,607
Freeman: Today, Jennifer
is running an experiment
731
00:38:46,609 --> 00:38:49,743
demonstrating
the power of shame.
732
00:38:49,745 --> 00:38:52,896
It reveals the difference
in people's behavior
733
00:38:52,898 --> 00:38:54,915
when their identities are hidden
734
00:38:54,917 --> 00:38:58,335
versus when their actions
are exposed to the group.
735
00:38:58,337 --> 00:39:03,123
Each player is given the choice
to contribute or not contribute
736
00:39:03,125 --> 00:39:04,591
to a common pool.
737
00:39:04,593 --> 00:39:08,211
Whatever money goes
into the common pool
738
00:39:08,213 --> 00:39:11,298
is doubled
and then redistributed.
739
00:39:11,300 --> 00:39:13,850
If everybody puts in a dollar,
740
00:39:13,852 --> 00:39:17,721
in each of 10 rounds,
they all get $20 back.
741
00:39:17,723 --> 00:39:20,307
That is, if they all play fair.
742
00:39:20,309 --> 00:39:23,593
That almost is never
the way the game is played.
743
00:39:23,595 --> 00:39:25,729
People often leave with far less
744
00:39:25,731 --> 00:39:28,231
than the socially
optimal outcome,
745
00:39:28,233 --> 00:39:30,934
and that's because
certain individuals
746
00:39:30,936 --> 00:39:33,704
start pulling out
and stop cooperating.
747
00:39:33,706 --> 00:39:36,823
Freeman: Most contribute
to the common pool,
748
00:39:36,825 --> 00:39:38,775
except these players.
749
00:39:38,777 --> 00:39:40,243
They keep their $10,
750
00:39:40,245 --> 00:39:44,164
but still take an equal share
from the doubled communal pot.
751
00:39:44,166 --> 00:39:48,502
So they end up making more
than their classmates,
752
00:39:48,504 --> 00:39:50,637
and they get away with it
753
00:39:50,639 --> 00:39:53,890
because no one knows
who is cheating.
754
00:39:53,892 --> 00:39:56,893
But now Jennifer
runs the experiment again,
755
00:39:56,895 --> 00:39:59,012
adding in the element of shame.
756
00:39:59,014 --> 00:40:00,897
At the end of the 10th round,
757
00:40:00,899 --> 00:40:03,483
the real names
of the two participants
758
00:40:03,485 --> 00:40:05,152
who donated least overall
759
00:40:05,154 --> 00:40:07,521
are revealed
to the other players.
760
00:40:07,523 --> 00:40:10,240
Freeman:
The threat of being exposed
761
00:40:10,242 --> 00:40:12,475
changes the way people play.
762
00:40:12,477 --> 00:40:18,281
Now almost everyone puts in
their fair share.
763
00:40:18,283 --> 00:40:19,816
So the threat of shame
764
00:40:19,818 --> 00:40:22,369
actually led to
50% more cooperation
765
00:40:22,371 --> 00:40:25,706
than the anonymous --
completely anonymous control.
766
00:40:27,709 --> 00:40:31,828
Freeman: So, what are the
real-world effects of this?
767
00:40:31,830 --> 00:40:33,513
Jacquet: So, in 2008,
768
00:40:33,515 --> 00:40:37,350
the United States government
gave banks $245 billion
769
00:40:37,352 --> 00:40:38,802
in bailout money.
770
00:40:38,804 --> 00:40:41,938
Many of the banks
decided to give bonuses
771
00:40:41,940 --> 00:40:44,057
that added up to $20 billion.
772
00:40:44,059 --> 00:40:45,275
During that time,
773
00:40:45,277 --> 00:40:48,344
President Obama called
those bonuses "shameful,"
774
00:40:48,346 --> 00:40:51,531
and that's in part because
there was no formal mechanism
775
00:40:51,533 --> 00:40:55,652
in which to punish the banks
for having done that.
776
00:40:55,654 --> 00:40:58,354
So he sort of called on
the crowd to come in and say,
777
00:40:58,356 --> 00:41:01,041
"this is not
appropriate behavior."
778
00:41:01,043 --> 00:41:03,210
Many bankers
didn't see it that way.
779
00:41:03,212 --> 00:41:06,580
They saw it as
perfectly normal behavior.
780
00:41:06,582 --> 00:41:11,051
Freeman: Shameful behavior is
in the eye of the beholder.
781
00:41:11,053 --> 00:41:13,220
Most of the super rich
would argue
782
00:41:13,222 --> 00:41:15,222
they are not breaking
any social rules.
783
00:41:15,224 --> 00:41:18,008
In fact, their investments
create jobs
784
00:41:18,010 --> 00:41:21,228
and make the entire economy
thrive and grow.
785
00:41:21,230 --> 00:41:25,315
But there will always be a few
people at any income level
786
00:41:25,317 --> 00:41:28,435
who are willing to cheat
to make a profit.
787
00:41:28,437 --> 00:41:33,490
When those people are called out
by name in front of a crowd,
788
00:41:33,492 --> 00:41:35,558
shame can be effective.
789
00:41:35,560 --> 00:41:38,662
California has started
listing the names
790
00:41:38,664 --> 00:41:42,249
of the state's top 500
tax delinquents online,
791
00:41:42,251 --> 00:41:48,205
using shame to coerce them
to pay their fair share.
792
00:41:48,207 --> 00:41:50,957
But is the power of shame enough
793
00:41:50,959 --> 00:41:54,211
to close the gap
between rich and poor?
794
00:41:54,213 --> 00:41:56,913
Brosnan: There are no
simple solutions, of course.
795
00:41:56,915 --> 00:41:59,582
These problems are --
are gigantic and difficult.
796
00:41:59,584 --> 00:42:03,436
Shame is relatively cheap
in terms of punishment,
797
00:42:03,438 --> 00:42:05,588
and relatively ineffective.
798
00:42:05,590 --> 00:42:07,423
But sometimes it's all we have.
799
00:42:11,429 --> 00:42:17,801
I am living proof
that poverty is not genetic.
800
00:42:17,803 --> 00:42:20,804
I've lived on both sides
of the divide
801
00:42:20,806 --> 00:42:22,572
between rich and poor.
802
00:42:22,574 --> 00:42:26,943
The forces that distribute
wealth among us are complicated.
803
00:42:26,945 --> 00:42:31,214
They're a mixture of biology,
psychology, and mathematics
804
00:42:31,216 --> 00:42:33,416
playing out over lifetimes
805
00:42:33,418 --> 00:42:36,620
and across the sweep
of human history.
806
00:42:36,622 --> 00:42:39,623
If we can understand
those forces,
807
00:42:39,625 --> 00:42:43,932
I hope we can someday lessen
the devastation of poverty
808
00:42:43,933 --> 00:42:47,174
and allow each of us to
reach our full potential.
809
00:42:47,199 --> 00:42:53,199
== sync, corrected by elderman ==
@elder_man
64991
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.