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It is an idea
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that has spawned hatred,
war, and genocide.
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It is one of
the most polarizing questions
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we could ever ask.
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Do different races
not just look different?
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Are they fundamentallydifferent?
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Will a future race
of advanced humans look back
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and see all of us
as a vastly inferior breed?
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Could there be a superior race?
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Space, time, life itself.
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The secrets of the cosmos
lie through the wormhole.
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Through the Wormhole 03x02
Is There a Superior Race? Original Air Date on June 6, 2012
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== sync, corrected by elderman ==
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Speak of racial differences,
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and you're bound
to inflame passions.
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Bosnian and Serb.
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Japanese and Korean.
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Black and White.
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The belief
that one group's germ line
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is superior to another's
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has haunted history
for thousands of years.
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But now we're in the age
of DNA technology.
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We can track down
minute differences
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in these chemical strands
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and perhaps discover
whether they make Africans
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not just look different
from Indians,
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but also think differently.
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Science has long been misused
to try and prop up bigotry,
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but daring to ask
how we might be different
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is important.
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Because the answers
could tell us
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where the entire human species
is headed.
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I grew up in an all-black
neighborhood in Mississippi.
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I never thought of myself
as better or worse than anyone.
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But all around town,
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there were signs
that other people did.
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Dr. Martin Luther King Jr.
had a dream of racial equality.
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And in the last 50 years,
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we've taken some steps
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toward the colorblind world
he imagined.
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But scientists are still trying
to understand what race means,
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or if it has any
scientific meaning at all.
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Is race only skin deep?
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Or is there something internal,
invisible,
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that sets the races apart?
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Evolutionary biologist
Andy Brower
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thinks we can understand
what the word "race" means
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by looking at another species,
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one he feels
he was born to study.
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Both my parents worked on
butterflies for their PhDs
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back in the '50s.
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So I just became fascinated
by that at 5 years old,
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and I've had a little
butterfly collection as a kid.
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Definitely in my DNA,
right from the start.
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Andy studies Heliconius butterflies.
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He has followed
their fluttering wings
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all over the Western Hemisphere.
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As much as he is enchanted
by their elaborate wing markings,
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he knows that their beauty
is only superficial.
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They're poisonous butterflies,
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and they have
mimetic wing patterns
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so that they are advertising
the fact that they taste bad
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to potential predators,
birds, usually.
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So that the more butterflies
exhibit a common color pattern,
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the easier it is for the birds
to recognize that,
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"Okay, there's one of those
red and yellow things.
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They taste bad.
I'm leaving those alone."
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But Heliconius butterflies
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do not look the same everywhere.
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A group in one region
of South America
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has completely different
wing patterns
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from another group
that lives just across a river
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or another on the other side
of a mountain.
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This is a box of butterflies
that are all the same species.
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In French Guiana,
a red band is on the fore wing
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and the hind wing
is basically black.
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And then, further south,
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you have red rays
and the yellow areas.
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These two rows
in the middle here,
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the colors are different.
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The wing pattern differences
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are probably driven by
which colors and patterns
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stand out most clearly
to the local bird population.
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But these
different-looking varieties --
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you could call them races.
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Appear to have
identical inner biologies.
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They smell the same,
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they recognize each other
as being potential mates.
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And so they produce
hybrid offspring.
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Hybrid offspring
are perfectly fine.
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There, there viable and healthy.
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They can, their fertile, so they
can lay their own eggs.
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These butterflies
all have the same life-span
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and the same adaptive poison
to ward off predators.
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The differences appear
to be only skin deep.
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It is the same for humans.
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Race poses no biological
barriers to mating,
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and our life-spans
are all very similar,
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no matter what
our ethnic background.
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Are people,
like Heliconius butterflies,
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all the same beneath
our different-colored skins?
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In the year 2000,
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when President Clinton
announced the completion
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of the Human Genome Project,
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the answer appeared to be yes.
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And in genetic terms,
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all human beings,
regardless of race,
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are more than 99.9% the same.
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Another decade of genetic study
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has lowered that number somewhat
to 99.5%.
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No matter who you are
or where you come from,
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a mere 0.5% of your genetic code
is unique to you.
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What kinds of racial differences
could like in that 0.5%?
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Perhaps plenty.
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Human and chimpanzee genomes
only differ by about 3%.
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That difference is enough
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to make our brains
radically bigger and smarter.
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John Hawks is
a leading paleoanthropologist
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at the University
of Wisconsin-Madison.
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He studies
the bones of ancient humans,
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tracking how we have changed
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since our evolutionary line
split off
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from that of the chimp's
about 6 million years ago.
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When we look at a real brief
thumbnail of our evolution,
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we started out as apes
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and became
upright-walking people
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and then evolved
stone-tool manufacture
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and bigger brains.
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And those are big events
that took millions of years.
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But most of my work
in the last few years
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has been focused on the very
recent part of our evolution --
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our time since we left Africa
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and evolved into
the people we are today.
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Scientists now agree
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the development
of separate races
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began around 50,000 years ago,
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when modern humans
migrated out of Africa.
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There dark-skinned pigmentation
was and remains
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a protective force
against ultraviolet rays.
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But as humans
moved further north,
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dark skin
blocked too much sunlight
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and reduced the natural
production of vitamin D
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in our deep skin layers.
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Lighter-skinned people fared
better in Europe and China.
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For those who migrated
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to South America
and Southern India,
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darker skin once again
protected them from the sun.
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But John's research is showing
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that these
now-isolated ethnicities
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continued to evolve
over the ensuing millennia
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and that distinctions
between racial groups
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do go deeper than our skin.
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When I study
archaeological samples
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of skulls that have come
out of the ground
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from 5,000 years ago,
from 10,000 years ago,
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we can see many of the changes
unfolding in those samples
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as we go forward in time.
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Brain size changed.
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Teeth changed.
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And then there are
some kinds of changes
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that are distinct
to different regions.
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So, there are characteristics
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that we can point at
in the skull
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that now characterize
Asians versus Europeans.
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John thinks racial differences
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run much deeper than our bones.
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He believes almost every aspect
of our biology changed
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as humans migrated
around the world,
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even the way our brains work.
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++++++++++++++++++++++++++++++
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What separates
one race from another?
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In the 50,000 years
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since small groups of people
began migrating out of Africa,
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we've developed plenty
of physical differences.
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But what invisible difference
might there be?
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Just how far apart
has our DNA drifted?
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Paleoanthropologist John Hawks
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is tracking changes in our genes
over the past millennia.
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And he's discovered
something unsettling.
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Our DNA loves to gamble.
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So, when we look at the way
that DNA changes,
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it's sort of like our genes
are addicted to gambling.
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It's got four possible base
pairs -- A, C, G, and T.
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And here we've got, well,
four colors of chips.
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This is like a DNA sequence,
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except your DNA
would be enormously longer.
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The way that evolution works
on these gene sequences...
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As this gene sequence
is reproducing itself,
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one base pair
may get swapped out
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and a different one
put in its place.
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As we lay out many individuals'
DNA next to each other,
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those individuals are gonna be
different from each other
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at random places.
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When a mutation happens,
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that can cause
an enormous problem.
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Or it could be
an enormous advantage.
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Between every generation,
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DNA makes about 60 of these
random changes to its sequence.
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Sometimes, it hits the jackpot.
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Sometimes, it goes bust.
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Most of the time, these
mutations do nothing at all.
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But all the changes
that don't kill us
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are handed down
to the next generation,
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living on
like molecular fossils.
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And these fossils
give John a way to calculate
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how old any particular gene is.
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The longer it has been around,
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the more random mutations
would have collected around it.
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The part that's functionally
important stays the same,
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but as you go farther
and farther away from that part,
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it's more likely to have
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swapped up
with another sequence.
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It's the length of that part
that hasn't been swapped
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that gives us an idea
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of how long it's been
around in the population.
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Because the longer
the gene has been around,
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the more likely it is that
we'll have these random changes.
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When John and his colleagues
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00:11:47,611 --> 00:11:50,312
used this gene-dating technique
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00:11:50,314 --> 00:11:54,516
in populations native
to Europe, Asia, and Africa,
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they were in for a big surprise.
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Many genes were much
younger than they'd expected.
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00:12:00,291 --> 00:12:03,158
What we discovered
was that lots of them
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showed evidence
of really fast adaptive changes.
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We're talking about
2,000 places
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that, in one part
of the world or another,
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00:12:12,369 --> 00:12:15,304
have undergone
really recent adaptation.
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We were pretty surprised to find
that the number was so large.
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John had expected to find
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that just a fraction
of a percent of human genes
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would show signs
of recent mutation.
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But instead, he discovered
that about 7% of our genes
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have mutated to new forms
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in the last 10,000
to 20,000 years.
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Some of these genes are only
found in certain racial groups.
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These mutations are not
just related to skin color
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and physical appearance.
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The changes go far deeper.
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00:12:48,339 --> 00:12:50,973
Probably
the most obvious examples
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00:12:50,975 --> 00:12:53,976
are the examples where
there's a disease that's new
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00:12:53,978 --> 00:12:57,579
that some people have developed
resistance strategies to.
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00:12:57,581 --> 00:12:59,414
So, malaria, for example,
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00:12:59,416 --> 00:13:02,284
is a disease that has been
around for about 5,000 years
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00:13:02,286 --> 00:13:03,986
as a human pathogen.
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00:13:03,988 --> 00:13:07,890
Over that time, populations
in South Asia, in Africa,
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00:13:07,892 --> 00:13:12,127
have developed new adaptations
to this particular disease.
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00:13:12,129 --> 00:13:14,763
But John suspects
there is another force
248
00:13:14,765 --> 00:13:16,665
driving these genetic changes --
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00:13:16,667 --> 00:13:19,101
our civilization.
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00:13:19,103 --> 00:13:20,969
It is an idea
that puts him at odds
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00:13:20,971 --> 00:13:23,539
with most evolutionary
scientists,
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00:13:23,541 --> 00:13:26,241
including the father
of them all --
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00:13:26,243 --> 00:13:27,943
Charles Darwin.
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00:13:27,945 --> 00:13:32,147
Darwin talked about
the hostile forces of nature,
255
00:13:32,149 --> 00:13:36,485
the sun beating down on us,
the cold of the winter,
256
00:13:36,487 --> 00:13:39,087
and these would change us,
257
00:13:39,089 --> 00:13:42,057
because we had to adapt
to those environments.
258
00:13:42,059 --> 00:13:45,027
And in human evolution,
we could invent things.
259
00:13:45,029 --> 00:13:48,831
We could change our behavior
and our culture to insulate us,
260
00:13:48,833 --> 00:13:50,799
to buffer us from those things.
261
00:13:50,801 --> 00:13:54,536
And so the idea was that humans
didn't have to change biology
262
00:13:54,538 --> 00:13:56,939
in order to adapt to new places.
263
00:13:59,008 --> 00:14:02,678
Charles Darwin's
argument was
264
00:14:02,680 --> 00:14:05,414
that farming, houses, clothes,
265
00:14:05,416 --> 00:14:07,983
should stop our genes
from changing and evolving,
266
00:14:07,985 --> 00:14:11,620
because we began protecting
ourselves from our environments.
267
00:14:11,622 --> 00:14:14,857
But John's research shows
268
00:14:14,859 --> 00:14:18,327
that the different ways
groups of humans chose to live
269
00:14:18,329 --> 00:14:20,796
in different parts of the world
270
00:14:20,798 --> 00:14:23,465
could actually
have driven genetic changes.
271
00:14:23,467 --> 00:14:24,967
Probably the best example
272
00:14:24,969 --> 00:14:28,470
of how culture has influenced
our evolution is milk drinking.
273
00:14:28,472 --> 00:14:31,707
Now, it's not normal
for adult mammals
274
00:14:31,709 --> 00:14:33,709
to have access to milk.
275
00:14:33,711 --> 00:14:36,378
If you think about a bull
trying to get milk
276
00:14:36,380 --> 00:14:38,046
up from underneath
the cow's udder...
277
00:14:39,183 --> 00:14:40,983
...it just doesn't work
in nature.
278
00:14:42,753 --> 00:14:45,053
There have been many populations
279
00:14:45,055 --> 00:14:47,756
that have adopted dairy animals
of different kinds.
280
00:14:47,758 --> 00:14:51,226
Five of them have developed
new mutations
281
00:14:51,228 --> 00:14:53,362
that give them, as adults,
282
00:14:53,364 --> 00:14:56,465
the ability to digest
the sugar in this milk.
283
00:14:56,467 --> 00:14:59,568
In northern Europe, this is
a really common mutation.
284
00:14:59,570 --> 00:15:02,504
But if you go to come parts
of the world, like China,
285
00:15:02,506 --> 00:15:05,574
it's very rare for people
to be able to drink milk.
286
00:15:07,111 --> 00:15:10,445
But in fact, it's the ability
to digest this milk,
287
00:15:10,447 --> 00:15:13,215
the lactase persistence,
as we call it,
288
00:15:13,217 --> 00:15:15,784
which is the weird,
mutant version of this.
289
00:15:15,786 --> 00:15:18,053
And it's all happened
in populations
290
00:15:18,055 --> 00:15:20,389
because they've changed
their culture.
291
00:15:20,391 --> 00:15:22,291
Just as the climates
292
00:15:22,293 --> 00:15:24,927
where different
ethnic groups lived varied,
293
00:15:24,929 --> 00:15:27,863
so did the rules and habits
of their societies.
294
00:15:27,865 --> 00:15:31,066
And their DNA
was forced to adapt.
295
00:15:31,068 --> 00:15:33,001
If you're a human,
296
00:15:33,003 --> 00:15:36,505
you have to survive and
deal with other people every day
297
00:15:36,507 --> 00:15:37,940
in order to reproduce.
298
00:15:37,942 --> 00:15:41,376
And that makes culture
your environment.
299
00:15:41,378 --> 00:15:43,946
Genetic adaptations
300
00:15:43,948 --> 00:15:47,115
may even have altered
the way our brains work.
301
00:15:47,117 --> 00:15:48,951
John and his colleagues
302
00:15:48,953 --> 00:15:51,887
have discovered
around 100 mutations
303
00:15:51,889 --> 00:15:53,989
in genes controlling
brain chemistry
304
00:15:53,991 --> 00:15:55,223
that have taken place
305
00:15:55,225 --> 00:15:58,360
since humanity migrated
from Africa.
306
00:15:58,362 --> 00:16:03,832
One of them,
a genetic variant called DRD4,
307
00:16:03,834 --> 00:16:08,370
may even have triggered that
migration in the first place.
308
00:16:08,372 --> 00:16:09,738
It's linked to ADHD,
309
00:16:09,740 --> 00:16:12,708
because when we study patients
who have ADHD,
310
00:16:12,710 --> 00:16:15,877
they have a greater chance
of having this gene.
311
00:16:15,879 --> 00:16:17,346
One possible reason is
312
00:16:17,348 --> 00:16:19,982
that it made people
more likely to move.
313
00:16:19,984 --> 00:16:23,418
The DRD4 mutation
is most commonly found
314
00:16:23,420 --> 00:16:27,055
in populations that live
outside of Africa.
315
00:16:27,057 --> 00:16:30,459
It appeared
around 50,000 years ago.
316
00:16:30,461 --> 00:16:33,128
It has been called
"the migration gene,"
317
00:16:33,130 --> 00:16:35,931
because traits
like rapidly shifting focus
318
00:16:35,933 --> 00:16:37,566
and quick movements
319
00:16:37,568 --> 00:16:42,070
could have been very useful when
our ancestors were on the move.
320
00:16:42,072 --> 00:16:45,774
Even though short attention
now appears less useful
321
00:16:45,776 --> 00:16:48,410
in our modern,
sedentary society.
322
00:16:48,412 --> 00:16:51,747
DRD4 is the best example
of a gene
323
00:16:51,749 --> 00:16:54,216
that is clearly
recently selected
324
00:16:54,218 --> 00:16:56,084
and has behavioral impacts.
325
00:16:56,086 --> 00:16:57,819
It affects the brain
in some way.
326
00:16:57,821 --> 00:16:59,187
But there are others.
327
00:16:59,189 --> 00:17:00,856
And we don't know what they do,
328
00:17:00,858 --> 00:17:03,592
but we can say that
they're expressed in the brain,
329
00:17:03,594 --> 00:17:07,162
they're related to our behavior
in some way, potentially.
330
00:17:07,164 --> 00:17:09,231
But we don't know
what those changes are for.
331
00:17:09,233 --> 00:17:13,769
The notion that genetic
changes affecting the brain
332
00:17:13,771 --> 00:17:15,203
might actually underpin
333
00:17:15,205 --> 00:17:17,639
the spread of humanity
across the globe
334
00:17:17,641 --> 00:17:20,275
leads to an unsettling question.
335
00:17:20,277 --> 00:17:22,978
Might some races have evolved
336
00:17:22,980 --> 00:17:26,281
to become more intelligent
than others?
337
00:17:26,283 --> 00:17:29,751
It is a highly divisive notion,
338
00:17:29,753 --> 00:17:32,954
but some scientists
are probing the issue,
339
00:17:32,956 --> 00:17:37,359
and their conclusions
have triggered outrage.
340
00:17:38,884 --> 00:17:38,884
++++++++++++++++++++++++++++++
341
00:17:39,830 --> 00:17:42,132
Race.
342
00:17:42,134 --> 00:17:45,869
It is a word
that stirs powerful emotions.
343
00:17:45,871 --> 00:17:47,270
Some scientists think
344
00:17:47,272 --> 00:17:50,340
the genetic differences
between us are so small
345
00:17:50,342 --> 00:17:53,610
that the word "race"
doesn't even make sense.
346
00:17:53,612 --> 00:17:57,947
But understanding how
evolution has shaped the races
347
00:17:57,949 --> 00:17:59,849
and continues to do so
348
00:17:59,851 --> 00:18:02,786
is of great
scientific importance.
349
00:18:05,022 --> 00:18:08,725
The trait that sets humans apart
from all other species
350
00:18:08,727 --> 00:18:12,228
is our incredibly complex brain.
351
00:18:12,230 --> 00:18:15,965
But could the brains
of different races be different?
352
00:18:15,967 --> 00:18:20,003
Could they have
different intelligences?
353
00:18:20,005 --> 00:18:23,273
Renowned psychologist
Stanley Coren
354
00:18:23,275 --> 00:18:26,976
has spent years studying
intelligence differences --
355
00:18:26,978 --> 00:18:29,679
not among different races
of people,
356
00:18:29,681 --> 00:18:33,283
but in different breeds of dogs.
357
00:18:33,285 --> 00:18:35,852
Dogs are a marvel
of genetic engineering,
358
00:18:35,854 --> 00:18:38,655
simply because
we've kept the breeds separate.
359
00:18:38,657 --> 00:18:45,528
You know, my grandparents were
Latvia, Lithuania, Russia,
360
00:18:45,530 --> 00:18:47,597
but I take a golden retriever,
361
00:18:47,599 --> 00:18:50,934
and his granddaddy was
a purebred golden retriever,
362
00:18:50,936 --> 00:18:54,104
and his great-granddaddy was,
and so on and so forth.
363
00:18:54,106 --> 00:18:56,206
So, there's less noise
in the genome.
364
00:18:56,208 --> 00:18:59,976
For at least 14,000 years,
365
00:18:59,978 --> 00:19:03,747
humans have systematically
shaped the evolution of dogs,
366
00:19:03,749 --> 00:19:06,549
changing them to fit our needs.
367
00:19:06,551 --> 00:19:09,385
Stanley has measured
the intelligence
368
00:19:09,387 --> 00:19:11,187
of more than 100 breeds.
369
00:19:11,189 --> 00:19:15,525
So, we can get dogs which,
because of their breeding,
370
00:19:15,527 --> 00:19:18,561
differ in terms
of their intelligence.
371
00:19:18,563 --> 00:19:21,431
If you take a young child
below 18 months of age
372
00:19:21,433 --> 00:19:23,566
and you put a towel
over his head,
373
00:19:23,568 --> 00:19:25,668
he thinks
that the world has gone away,
374
00:19:25,670 --> 00:19:26,736
and he sits there.
375
00:19:26,738 --> 00:19:29,506
So, if Montana has a mental
ability
376
00:19:29,508 --> 00:19:31,641
beyond an 18-month-old human,
377
00:19:31,643 --> 00:19:33,743
Montana should throw
the towel off of his head
378
00:19:33,745 --> 00:19:34,878
very quickly.
379
00:19:34,880 --> 00:19:36,813
Are you ready, Montana? Go.
380
00:19:42,219 --> 00:19:45,555
Stanley's test results
have convinced him
381
00:19:45,557 --> 00:19:49,092
that there are big differences
in canine intelligence
382
00:19:49,094 --> 00:19:51,594
from breed to breed.
383
00:19:51,596 --> 00:19:53,363
Where has the world gone?
384
00:19:53,365 --> 00:19:56,332
Okay, what a good dog.
385
00:19:56,334 --> 00:19:58,802
And then I've got a beagle.
386
00:19:58,804 --> 00:20:02,338
And his job is to amuse
my grandchildren.
387
00:20:02,340 --> 00:20:04,941
As dog intelligence goes,
388
00:20:04,943 --> 00:20:07,143
beagles are seven
from the bottom.
389
00:20:07,145 --> 00:20:10,046
So, this bench
that I'm sitting on right now
390
00:20:10,048 --> 00:20:12,081
is more trainable than a beagle.
391
00:20:12,083 --> 00:20:15,051
The top dogs
in terms of intelligence
392
00:20:15,053 --> 00:20:18,621
are the Border Collie,
followed by the poodle.
393
00:20:18,623 --> 00:20:20,957
Some people say, "the poodle?
That's a froufrou dog."
394
00:20:20,959 --> 00:20:23,660
No, the poodle is
a retriever, okay?
395
00:20:23,662 --> 00:20:26,696
And he didn't ask
for that silly haircut.
396
00:20:26,698 --> 00:20:30,266
If some breeds of dogs
are smarter than others,
397
00:20:30,268 --> 00:20:31,768
why could that not be true
398
00:20:31,770 --> 00:20:35,038
for the animals
at the other end of the leash?
399
00:20:35,040 --> 00:20:40,243
University of Delaware
sociologist Linda Gottfredson
400
00:20:40,245 --> 00:20:43,112
has been analyzing
I.Q. test scores
401
00:20:43,114 --> 00:20:45,048
for the past two decades.
402
00:20:45,050 --> 00:20:50,119
She claims they reveal
a subtle but measurable link
403
00:20:50,121 --> 00:20:54,057
between intelligence,
genetics, and race.
404
00:20:54,059 --> 00:20:57,427
For very complex traits
like intelligence,
405
00:20:57,429 --> 00:21:00,330
many genes have small effect,
406
00:21:00,332 --> 00:21:03,433
may push a person this way
or that.
407
00:21:03,435 --> 00:21:07,937
And they're really,
really hard to find.
408
00:21:07,939 --> 00:21:10,306
Individual I.Q.s
409
00:21:10,308 --> 00:21:14,644
are as diverse as the grains
of sand on a beach.
410
00:21:14,646 --> 00:21:18,848
But Linda believes there are
patterns in this noise,
411
00:21:18,850 --> 00:21:22,719
patterns that depend on
our genes.
412
00:21:22,721 --> 00:21:24,821
As any parent knows,
413
00:21:24,823 --> 00:21:26,389
brothers and sisters
look different.
414
00:21:26,391 --> 00:21:28,925
They often have
different personalities,
415
00:21:28,927 --> 00:21:32,161
and they often have different
levels of intelligence.
416
00:21:32,163 --> 00:21:35,798
The average difference
between siblings
417
00:21:35,800 --> 00:21:38,468
is 12 I.Q. points.
418
00:21:38,470 --> 00:21:41,905
If you compare to random people
walking on the beach,
419
00:21:41,907 --> 00:21:45,375
you might ask, "Well,
how different are those people?"
420
00:21:45,377 --> 00:21:50,213
On the average, strangers differ
by 17 I.Q. points.
421
00:21:50,215 --> 00:21:54,050
So, you see that biological
brothers and sisters
422
00:21:54,052 --> 00:21:57,020
are 2/3 as different
on the average
423
00:21:57,022 --> 00:21:59,889
as random strangers
on the street.
424
00:21:59,891 --> 00:22:04,627
The genes of strangers vary
more than those of siblings,
425
00:22:04,629 --> 00:22:09,198
and Linda argues this is
why their I.Q.s vary more.
426
00:22:09,200 --> 00:22:11,701
Her interpretation of this data
427
00:22:11,703 --> 00:22:13,803
has led her
to a controversial notion,
428
00:22:13,805 --> 00:22:16,372
that the genetic differences
between races
429
00:22:16,374 --> 00:22:17,907
might lead to differences
430
00:22:17,909 --> 00:22:22,011
in the average intelligence
of those races.
431
00:22:22,013 --> 00:22:23,913
I guess there would be
432
00:22:23,915 --> 00:22:26,382
two rules
about human diversity.
433
00:22:26,384 --> 00:22:32,455
One is that
there's lots of variation
434
00:22:32,457 --> 00:22:34,223
within all groups,
435
00:22:34,225 --> 00:22:39,595
but there's also
a gradation between the groups
436
00:22:39,597 --> 00:22:42,932
so that there are recurring
437
00:22:42,934 --> 00:22:46,102
and sometimes large
average differences
438
00:22:46,104 --> 00:22:48,037
between racial ethnic groups.
439
00:22:48,039 --> 00:22:51,040
I.Q. scores
in any group of people
440
00:22:51,042 --> 00:22:53,309
are spread across a bell curve
441
00:22:53,311 --> 00:22:58,548
ranging from a score
of about 70 to about 130.
442
00:22:58,550 --> 00:23:01,351
There are outliers
on either end,
443
00:23:01,353 --> 00:23:05,088
but most people are clustered
around an average.
444
00:23:05,090 --> 00:23:08,825
There are differences
between racial ethnic groups
445
00:23:08,827 --> 00:23:12,261
on the average in I.Q.
446
00:23:12,263 --> 00:23:17,100
The average white I.Q.
is arbitrarily set at 100.
447
00:23:17,102 --> 00:23:21,504
Blacks in the United States and
in many other western countries
448
00:23:21,506 --> 00:23:23,740
average 85.
449
00:23:23,742 --> 00:23:27,677
Hispanics --
the average would be about 80.
450
00:23:27,679 --> 00:23:31,214
Native Americans
around that level.
451
00:23:31,216 --> 00:23:35,852
And then Japanese
and Chinese Americans
452
00:23:35,854 --> 00:23:38,054
above the white average.
453
00:23:38,056 --> 00:23:43,326
And then Ashkenazi Jews
probably around 110, 115.
454
00:23:43,328 --> 00:23:47,363
Linda's research has
made her a scientific outcast.
455
00:23:47,365 --> 00:23:52,969
She's even been called a racist,
a claim she denies.
456
00:23:52,971 --> 00:23:56,139
Her critics argue
that I.Q. tests results
457
00:23:56,141 --> 00:23:59,509
are heavily skewed
by socioeconomic factors.
458
00:23:59,511 --> 00:24:03,079
Childhood nutrition
and access to healthcare
459
00:24:03,081 --> 00:24:06,215
can vary widely between
different racial groups.
460
00:24:06,217 --> 00:24:08,518
If you live
in a good neighborhood
461
00:24:08,520 --> 00:24:10,119
with well-funded schools,
462
00:24:10,121 --> 00:24:12,388
you are more likely
to be accustomed
463
00:24:12,390 --> 00:24:14,857
to the academic setting
of an I.Q. test.
464
00:24:14,859 --> 00:24:16,859
And if you live
in those neighborhoods,
465
00:24:16,861 --> 00:24:20,296
you are more likely to be
Asian or White.
466
00:24:20,298 --> 00:24:22,065
There are also concerns
467
00:24:22,067 --> 00:24:25,935
over whether the test questions
have a cultural bias,
468
00:24:25,937 --> 00:24:27,537
a bias reflected by the fact
469
00:24:27,539 --> 00:24:32,642
that it's the white I.Q. average
that's set to 100.
470
00:24:32,644 --> 00:24:36,546
Is one race
smarter than another?
471
00:24:36,548 --> 00:24:39,849
Depends on what you mean
by smart.
472
00:24:39,851 --> 00:24:41,517
Could I.Q. scores predict
473
00:24:41,519 --> 00:24:44,153
the greatness
of an artist like Picasso
474
00:24:44,155 --> 00:24:47,423
or of a political leader
like Gandhi?
475
00:24:47,425 --> 00:24:50,893
I.Q. is a narrow obsession.
476
00:24:50,895 --> 00:24:53,796
No two people think
the same way,
477
00:24:53,798 --> 00:24:56,132
regardless of their race.
478
00:24:56,134 --> 00:24:58,468
So, here's a new question.
479
00:24:58,470 --> 00:25:02,505
If the brains of the races
are similar now,
480
00:25:02,507 --> 00:25:04,841
will that always be true?
481
00:25:04,843 --> 00:25:07,243
We are still evolving.
482
00:25:07,245 --> 00:25:10,079
Could our brains
one day become as different
483
00:25:10,081 --> 00:25:13,816
as those of Border Collies
and beagles?
484
00:25:15,841 --> 00:25:15,841
++++++++++++++++++++++++++++++
485
00:25:17,710 --> 00:25:21,713
Evolution has given human beings
one incredible asset --
486
00:25:22,722 --> 00:25:25,556
the remarkable network
of nerve cells
487
00:25:25,558 --> 00:25:28,292
buzzing around inside our heads.
488
00:25:28,294 --> 00:25:31,829
The growth of these three pounds
of soft tissue
489
00:25:31,831 --> 00:25:33,998
catapulted human intelligence
490
00:25:34,000 --> 00:25:37,001
to a level far above
the other species.
491
00:25:37,003 --> 00:25:40,104
How much further can it grow?
492
00:25:40,106 --> 00:25:43,407
Will we eventually evolve
into a superior race
493
00:25:43,409 --> 00:25:46,644
of super-intelligent humans?
494
00:25:56,521 --> 00:25:58,522
Neuroscience Professor
Simon Laughlin
495
00:25:58,524 --> 00:26:02,693
from the University of Cambridge
studies brain power.
496
00:26:02,695 --> 00:26:04,428
He tests the limits
497
00:26:04,430 --> 00:26:07,865
of what brains
and their nerve cells can do,
498
00:26:07,867 --> 00:26:11,302
all the while watching
how much fuel they guzzle.
499
00:26:11,304 --> 00:26:13,671
So, I'm interested in
what the physical limits
500
00:26:13,673 --> 00:26:15,239
to the performance of brains are
501
00:26:15,241 --> 00:26:19,610
and in what determines
the processing power of brains.
502
00:26:19,612 --> 00:26:22,813
Simon has developed
a unique way to see
503
00:26:22,815 --> 00:26:26,383
just how much information
living brains are processing
504
00:26:26,385 --> 00:26:29,086
while simultaneously
keeping track
505
00:26:29,088 --> 00:26:31,622
of how much energy
they are using.
506
00:26:31,624 --> 00:26:34,124
His window into the human brain
507
00:26:34,126 --> 00:26:38,529
is through the bulbous eyes
of flies.
508
00:26:38,531 --> 00:26:40,297
They're a simpler system,
509
00:26:40,299 --> 00:26:42,433
so it's like looking at
a pocket calculator
510
00:26:42,435 --> 00:26:44,868
before you work up to
actually trying to understand
511
00:26:44,870 --> 00:26:46,503
a really big computer.
512
00:26:46,505 --> 00:26:49,573
The basic principles by which
the fly's brain operates
513
00:26:49,575 --> 00:26:50,808
is the same as ours,
514
00:26:50,810 --> 00:26:53,444
but they're much easier
to work with,
515
00:26:53,446 --> 00:26:56,447
and we have a much more complete
understanding of what they do.
516
00:26:56,449 --> 00:27:00,884
Simon's ability to measure
the performance of fly brains
517
00:27:00,886 --> 00:27:06,323
is all thanks to this insect's
most bothersome characteristic.
518
00:27:08,294 --> 00:27:10,594
Anybody who's tried to swat
a fly knows
519
00:27:10,596 --> 00:27:12,763
that they're very good
at detecting movement.
520
00:27:12,765 --> 00:27:16,467
And to do that,
they have to be able to respond
521
00:27:16,469 --> 00:27:19,670
to very rapid
and fast changes in light.
522
00:27:19,672 --> 00:27:22,272
In fact, detecting light
523
00:27:22,274 --> 00:27:25,476
is most of what
a fly's brain does.
524
00:27:25,478 --> 00:27:29,613
Simon's lab is stocked
with two species --
525
00:27:29,615 --> 00:27:32,483
the blowfly,
with large, bulging eyes,
526
00:27:32,485 --> 00:27:37,321
and the diminutive fruit fly,
whose eyes are much smaller.
527
00:27:37,323 --> 00:27:40,424
He and his team fit
microelectrodes
528
00:27:40,426 --> 00:27:42,693
into the fly's nerve cells,
529
00:27:42,695 --> 00:27:45,863
then they expose them
to a flickering light
530
00:27:45,865 --> 00:27:49,933
to record
their processing power.
531
00:27:49,935 --> 00:27:52,369
So, the cell responds
to the light
532
00:27:52,371 --> 00:27:54,872
by changing
its membrane potential.
533
00:27:54,874 --> 00:27:56,874
And then we can process
those signals
534
00:27:56,876 --> 00:28:00,377
to work out how much information
they contain.
535
00:28:00,379 --> 00:28:02,946
Simon discovered
that while the fruit fly
536
00:28:02,948 --> 00:28:06,283
is able to see
some of the changes in light,
537
00:28:06,285 --> 00:28:10,587
the blowfly picks up on
even the most minute flicker.
538
00:28:10,589 --> 00:28:12,523
The blowfly's bulbous eyeballs
539
00:28:12,525 --> 00:28:16,026
spew out a huge quantity
of neural data,
540
00:28:16,028 --> 00:28:20,030
enough to fill up
a one-gigabyte memory stick
541
00:28:20,032 --> 00:28:21,465
every minute.
542
00:28:21,467 --> 00:28:24,968
But there's a downside
for the blowfly.
543
00:28:24,970 --> 00:28:26,503
So, the blowfly picks up
544
00:28:26,505 --> 00:28:30,007
about five times as many bits
per second as the fruit fly,
545
00:28:30,009 --> 00:28:33,010
but because it has
a much higher performance,
546
00:28:33,012 --> 00:28:34,311
those bits of information,
547
00:28:34,313 --> 00:28:37,881
each bit costs it
about 10 times more energy.
548
00:28:37,883 --> 00:28:41,385
Information
is very expensive for a fly.
549
00:28:49,961 --> 00:28:53,831
So, we have a sports car
that has a very high top speed.
550
00:28:53,833 --> 00:28:55,999
It has a very high performance.
551
00:28:56,001 --> 00:28:59,269
But also, it has
a very heavy fuel consumption.
552
00:28:59,271 --> 00:29:00,838
It uses a lot of energy.
553
00:29:00,840 --> 00:29:03,173
So, as we're idling along
now in Cambridge,
554
00:29:03,175 --> 00:29:05,709
we're not using
any of our performance at all.
555
00:29:13,652 --> 00:29:16,086
This little car here
has a lot lower performance
556
00:29:16,088 --> 00:29:17,187
than this sports car,
557
00:29:17,189 --> 00:29:18,722
but it's much more economical.
558
00:29:18,724 --> 00:29:21,225
It uses much less energy
to go a given distance.
559
00:29:21,227 --> 00:29:23,627
So, you pay a high price
for high performance,
560
00:29:23,629 --> 00:29:25,028
just like neurons.
561
00:29:25,030 --> 00:29:27,397
The powerhouse brain
of a human being
562
00:29:27,399 --> 00:29:31,235
is even less fuel efficient
than that of the blowfly.
563
00:29:31,237 --> 00:29:34,171
And this is why Simon
is almost certain
564
00:29:34,173 --> 00:29:37,908
that the human brain
has reached its limit.
565
00:29:37,910 --> 00:29:40,844
So, if the blowfly
is this sports car,
566
00:29:40,846 --> 00:29:45,148
then the human brain, with it's
vastly superior performance,
567
00:29:45,150 --> 00:29:47,384
is like a space rocket.
568
00:29:47,386 --> 00:29:51,522
Huge amounts of energy being
used to process information.
569
00:29:51,524 --> 00:29:55,259
The human brain
is only 2% of our body mass,
570
00:29:55,261 --> 00:30:00,197
but it consumes 20% of
our oxygen when we are at rest.
571
00:30:00,199 --> 00:30:03,800
The smarter we get,
the higher the energy cost.
572
00:30:03,802 --> 00:30:06,837
If we wanted to have
a brain that was 10% better,
573
00:30:06,839 --> 00:30:09,973
we might have to have one
that was actually 20% bigger.
574
00:30:09,975 --> 00:30:14,244
Then it would make increasingly
large demands on the body.
575
00:30:15,447 --> 00:30:17,014
If the human brain got bigger,
576
00:30:17,016 --> 00:30:20,884
it would be more difficult
to give birth to children.
577
00:30:20,886 --> 00:30:23,921
And if you wanted
to make it much bigger,
578
00:30:23,923 --> 00:30:25,556
when the child was born,
579
00:30:25,558 --> 00:30:28,759
the brain would have to be less
well-developed than it is now.
580
00:30:28,761 --> 00:30:32,329
So, infancy and childhood
would last longer.
581
00:30:33,966 --> 00:30:37,834
Our brain has evolved
to strike some sort of balance
582
00:30:37,836 --> 00:30:41,371
between the cost of processing
the information,
583
00:30:41,373 --> 00:30:42,906
which is very high,
584
00:30:42,908 --> 00:30:45,742
and the amount of information
we actually need to process.
585
00:30:45,744 --> 00:30:50,847
But there may still be a way
for us to become smarter.
586
00:30:50,849 --> 00:30:54,017
If we take matters
into our own hands,
587
00:30:54,019 --> 00:30:58,488
we may build
a superior human race.
588
00:30:58,490 --> 00:31:02,125
And only some of us
will be part of it.
589
00:31:02,150 --> 00:31:02,150
++++++++++++++++++++++++++++++
590
00:31:05,461 --> 00:31:07,395
All of modern humanity
591
00:31:07,397 --> 00:31:11,866
can trace its ancestry back
to a small group of people
592
00:31:11,868 --> 00:31:15,837
living in East Africa
about 50,000 years ago.
593
00:31:15,839 --> 00:31:19,074
We all looked very similar
back then.
594
00:31:19,076 --> 00:31:20,508
Over the millennia,
595
00:31:20,510 --> 00:31:23,111
we've adapted
to our local climates
596
00:31:23,113 --> 00:31:26,815
and become the rainbow of people
we are today.
597
00:31:26,817 --> 00:31:29,651
But evolution hasn't stopped.
598
00:31:29,653 --> 00:31:32,487
Where are we headed?
599
00:31:32,489 --> 00:31:35,423
Could a future race
of superior humans...
600
00:31:35,425 --> 00:31:39,027
Look like this?
601
00:31:41,997 --> 00:31:45,500
Peter Ward is a paleontologist
602
00:31:45,502 --> 00:31:49,237
at the University of Washington
in Seattle.
603
00:31:49,239 --> 00:31:51,840
He finds evolution
everywhere he looks,
604
00:31:51,842 --> 00:31:55,410
even inside a fish market.
605
00:31:55,412 --> 00:31:58,213
Well, we got two really standard
wonderful food fish
606
00:31:58,215 --> 00:31:59,681
in the Northwest.
607
00:31:59,683 --> 00:32:02,917
We've got this nice big halibut
and these beautiful salmon.
608
00:32:02,919 --> 00:32:04,919
If we look at the fossil record,
actually,
609
00:32:04,921 --> 00:32:06,654
these are way more primitive.
610
00:32:06,656 --> 00:32:08,823
These guys were here first
and, in fact,
611
00:32:08,825 --> 00:32:12,560
far more fish look like this --
that beautiful fusiform shape --
612
00:32:12,562 --> 00:32:14,596
than this rather ugly thing.
613
00:32:14,598 --> 00:32:17,098
It's been squished down
and flattened.
614
00:32:17,100 --> 00:32:20,268
It's like taking a salmon,
rolling it on its side,
615
00:32:20,270 --> 00:32:21,870
bringing an eye over,
616
00:32:21,872 --> 00:32:25,540
and living forever with
that totally rotated shape.
617
00:32:25,542 --> 00:32:27,809
This guy lives on the bottom,
618
00:32:27,811 --> 00:32:31,379
and this is a superb adaptation
for where it lives.
619
00:32:31,381 --> 00:32:35,884
From the salmon,
evolution created the halibut.
620
00:32:35,886 --> 00:32:40,822
What, Peter wonders,
might it do to humans?
621
00:32:40,824 --> 00:32:44,392
It is tempting to believe
that nature has a master plan
622
00:32:44,394 --> 00:32:48,897
to evolve us into fitter,
smarter, more attractive beings.
623
00:32:48,899 --> 00:32:52,734
But nature
doesn't work that way.
624
00:32:52,736 --> 00:32:56,671
Our best traits
and our worst traits
625
00:32:56,673 --> 00:33:00,241
are chosen for us
quite randomly.
626
00:33:00,243 --> 00:33:02,610
Albert Einstein
most famously said,
627
00:33:02,612 --> 00:33:05,413
"God does not play dice
with the universe."
628
00:33:05,415 --> 00:33:07,515
Well, maybe he was right
in physics,
629
00:33:07,517 --> 00:33:10,451
but in evolution, there's
a whole lot of dice playing.
630
00:33:10,453 --> 00:33:13,655
Here's my
evolutionary dice -- die.
631
00:33:13,657 --> 00:33:17,826
This is A, T, G, and C --
the genetic code.
632
00:33:17,828 --> 00:33:19,928
When they combine together,
633
00:33:19,930 --> 00:33:22,630
they tell an organism
what traits it's gonna have.
634
00:33:22,632 --> 00:33:24,265
And much of that combination
635
00:33:24,267 --> 00:33:26,367
comes together
in random fashion.
636
00:33:26,369 --> 00:33:29,671
So if I throw
this evolutionary die,
637
00:33:29,673 --> 00:33:33,675
I'm gonna be stuck with
this particular gene,
638
00:33:33,677 --> 00:33:37,679
and that gene might take me
up any one of these four roads.
639
00:33:37,681 --> 00:33:40,448
Three of those roads might kill
you almost instantly.
640
00:33:40,450 --> 00:33:44,552
One of them might be towards
a really superior organism.
641
00:33:46,789 --> 00:33:50,291
If Peter wants to
make his way across town
642
00:33:50,293 --> 00:33:51,993
to a high-end restaurant
643
00:33:51,995 --> 00:33:55,129
using the rules
of DNA navigation,
644
00:33:55,131 --> 00:33:59,701
he will have to rely on
the random roll of a die.
645
00:34:02,872 --> 00:34:05,039
One turn could get him closer.
646
00:34:07,042 --> 00:34:09,978
The next could turn him back
toward where he started.
647
00:34:09,980 --> 00:34:13,882
There's no telling
when or if he will ever make it.
648
00:34:13,884 --> 00:34:16,484
Evolution is a random process
649
00:34:16,486 --> 00:34:19,721
that usually leads
to genetic dead ends.
650
00:34:19,723 --> 00:34:21,022
Ugh!
651
00:34:22,191 --> 00:34:25,193
But what if Peter
could escape the randomness
652
00:34:25,195 --> 00:34:27,195
of natural selection?
653
00:34:27,197 --> 00:34:30,064
Up until we became
a technical species,
654
00:34:30,066 --> 00:34:32,567
we were,
like every other species,
655
00:34:32,569 --> 00:34:34,302
at mercy to the randomness
656
00:34:34,304 --> 00:34:37,639
and to, really,
the nastiness of evolution.
657
00:34:37,641 --> 00:34:39,540
The next stage
of human evolution
658
00:34:39,542 --> 00:34:41,342
is going to be we humans
659
00:34:41,344 --> 00:34:45,280
tinkering
right into the genome itself.
660
00:34:46,682 --> 00:34:50,785
Not only can we change people
in their lifetime,
661
00:34:50,787 --> 00:34:54,722
but we'll be able
to change their very DNA
662
00:34:54,724 --> 00:34:56,524
so that they and their changes
663
00:34:56,526 --> 00:34:58,993
get passed on
to the next generation.
664
00:34:58,995 --> 00:35:01,863
With this type
of directed evolution,
665
00:35:01,865 --> 00:35:05,133
Peter does not have to
blindly depend on chance
666
00:35:05,135 --> 00:35:08,269
to get him where he wants to go.
667
00:35:10,673 --> 00:35:12,740
Waterfront Seafood Grill.
668
00:35:18,847 --> 00:35:20,682
Genetic technology
669
00:35:20,684 --> 00:35:23,851
could take you on a direct route
from "A" to "B",
670
00:35:23,853 --> 00:35:25,853
as long as you can pay
for the ride.
671
00:35:25,855 --> 00:35:28,156
Peter believes that once humans
672
00:35:28,158 --> 00:35:30,692
start pursuing
unnatural selection,
673
00:35:30,694 --> 00:35:33,928
we will diverge
into two separate races --
674
00:35:33,930 --> 00:35:37,332
those who are left rolling
the evolutionary dice
675
00:35:37,334 --> 00:35:42,036
and those who can afford
to design their own genome.
676
00:35:42,038 --> 00:35:44,839
All right.
Thank you much.
677
00:35:44,841 --> 00:35:47,141
Halibut. Thanks.
678
00:35:47,143 --> 00:35:50,144
I could see a point
where once the differences
679
00:35:50,146 --> 00:35:51,813
we engineer into ourselves
680
00:35:51,815 --> 00:35:54,315
are so different
from what you find
681
00:35:54,317 --> 00:35:56,317
in the wild, stock humans
682
00:35:56,319 --> 00:35:59,220
versus the genetically
engineered humans,
683
00:35:59,222 --> 00:36:01,055
there will be a divergence.
684
00:36:01,057 --> 00:36:03,291
If you had children that bred
685
00:36:03,293 --> 00:36:04,926
with other children
with these enhancements,
686
00:36:04,928 --> 00:36:06,327
it keeps going.
687
00:36:06,329 --> 00:36:09,263
You're gonna see
a social drifting apart.
688
00:36:09,265 --> 00:36:11,099
And speciation happens
689
00:36:11,101 --> 00:36:15,770
when gene pools separate --
populations separate.
690
00:36:15,772 --> 00:36:18,873
It is a grim vision
of the future --
691
00:36:18,875 --> 00:36:21,075
a global gated community
692
00:36:21,077 --> 00:36:25,213
of super-rich,
long-lived human 2.0's
693
00:36:25,215 --> 00:36:27,882
hogging all the resources...
694
00:36:27,884 --> 00:36:31,586
And a completely separate
species of people
695
00:36:31,588 --> 00:36:33,821
who can barely survive.
696
00:36:33,823 --> 00:36:35,723
But another technological course
697
00:36:35,725 --> 00:36:38,826
is driving us
in a different direction.
698
00:36:40,362 --> 00:36:43,664
The next big leap toward
creating a superior human race
699
00:36:43,666 --> 00:36:46,267
may come from us putting aside
our differences
700
00:36:46,269 --> 00:36:49,804
and putting our heads together.
701
00:36:49,229 --> 00:36:49,229
++++++++++++++++++++++++++++++
702
00:36:52,051 --> 00:36:54,986
Earth is already
a crowded place.
703
00:36:54,988 --> 00:36:56,888
And by the end of this century,
704
00:36:56,890 --> 00:37:01,192
the human population
will probably reach 11 billion.
705
00:37:01,194 --> 00:37:05,330
We'll be packed in
as tightly as bees in a hive.
706
00:37:05,332 --> 00:37:07,899
That prospect
has inspired some scientists
707
00:37:07,901 --> 00:37:10,868
to envision
a new evolution of mankind.
708
00:37:10,870 --> 00:37:13,972
Just as insect colonies
share the workload,
709
00:37:13,974 --> 00:37:18,109
perhaps we can learn to harness
the power of multiple brains
710
00:37:18,111 --> 00:37:23,047
and create a vastly superior
global hive mind.
711
00:37:26,018 --> 00:37:29,087
"Sandy" Pentland is the head
of the Human Dynamics Lab
712
00:37:29,089 --> 00:37:30,488
at M.I.T.
713
00:37:30,490 --> 00:37:33,224
He's a pioneer
of a new field of research --
714
00:37:33,226 --> 00:37:36,027
computational social science.
715
00:37:36,029 --> 00:37:37,862
Sandy believes humanity
716
00:37:37,864 --> 00:37:41,332
is about to become
a smarter, superior species --
717
00:37:41,334 --> 00:37:43,201
not because
we're going to evolve
718
00:37:43,203 --> 00:37:45,336
at the individual level,
719
00:37:45,338 --> 00:37:48,606
but through a transformation
in the way we work together.
720
00:37:48,608 --> 00:37:50,475
So, human organizations
721
00:37:50,477 --> 00:37:53,077
are a little bit like
an information machine.
722
00:37:53,079 --> 00:37:55,213
The gears
not only have to fit together,
723
00:37:55,215 --> 00:37:56,814
but they have to be synchronized
724
00:37:56,816 --> 00:38:00,084
so that they work together
rather than against each other.
725
00:38:00,086 --> 00:38:02,353
So, this desire to synchronize
726
00:38:02,355 --> 00:38:05,523
is something that's very ancient
in our species,
727
00:38:05,525 --> 00:38:08,092
and you see it in dance
and also in music,
728
00:38:08,094 --> 00:38:10,528
like here
with the M.I.T. Logarhythms,
729
00:38:10,530 --> 00:38:12,764
where bass comes in.
730
00:38:12,766 --> 00:38:16,367
Bass:
we
731
00:38:16,369 --> 00:38:18,503
And the baritone comes in.
732
00:38:18,505 --> 00:38:21,039
Baritones:
are
Bass:
we
733
00:38:21,041 --> 00:38:22,640
And the tenor.
734
00:38:22,642 --> 00:38:28,713
Tenors:
we are
Baritones:
are Bass:
we
735
00:38:28,715 --> 00:38:31,449
and then they meld together
into a whole.
736
00:38:31,451 --> 00:38:33,251
We
we are
737
00:38:33,253 --> 00:38:35,386
we
we are
we are
738
00:38:35,388 --> 00:38:37,822
we
we are
we are
739
00:38:37,824 --> 00:38:40,091
Music like this
is an example of something
740
00:38:40,093 --> 00:38:42,794
that's much bigger
than just the individuals.
741
00:38:42,796 --> 00:38:46,364
We are
742
00:38:46,366 --> 00:38:49,300
Humans are naturally
social creatures.
743
00:38:49,302 --> 00:38:51,302
We developed language
and culture
744
00:38:51,304 --> 00:38:54,939
to trade knowledge
and share experiences.
745
00:38:54,941 --> 00:38:58,009
Sandy believes
that we are about to supercharge
746
00:38:58,011 --> 00:39:00,645
the degree
to which we share knowledge,
747
00:39:00,647 --> 00:39:05,717
thanks to a quantum leap
in communication technology.
748
00:39:05,719 --> 00:39:08,986
One of the most profound changes
has happened in the last decade.
749
00:39:08,988 --> 00:39:10,922
And something
that's not well appreciated
750
00:39:10,924 --> 00:39:12,990
is the fact that we all carry
around phones,
751
00:39:12,992 --> 00:39:15,359
and these are getting smarter
and smarter.
752
00:39:15,361 --> 00:39:16,928
Take traffic, for example.
753
00:39:16,930 --> 00:39:20,798
You can now look on your phone
or on your car dashboard
754
00:39:20,800 --> 00:39:24,669
and see how dense the traffic is
and get real-time updates.
755
00:39:24,671 --> 00:39:27,472
Technology
that lets us share pictures,
756
00:39:27,474 --> 00:39:29,774
share stories
in a way we never could
757
00:39:29,776 --> 00:39:31,843
and just turns the clock
right up more.
758
00:39:31,845 --> 00:39:33,444
That's all driven
by those phones
759
00:39:33,446 --> 00:39:35,213
that people are carrying around.
760
00:39:35,215 --> 00:39:36,647
So, we're being able to make
761
00:39:36,649 --> 00:39:39,917
this sort of
unified intelligence.
762
00:39:39,919 --> 00:39:41,619
Handheld smart devices
763
00:39:41,621 --> 00:39:45,022
are getting us to work and think
together like never before.
764
00:39:45,024 --> 00:39:47,325
They are merging humanity
765
00:39:47,327 --> 00:39:50,628
into a single
interconnected mind
766
00:39:50,630 --> 00:39:52,330
that spans the globe,
767
00:39:52,332 --> 00:39:56,868
capable of feats no single brain
could achieve.
768
00:39:56,870 --> 00:39:58,503
In 2009,
769
00:39:58,505 --> 00:40:01,105
the Defense Advanced
Research Project Agency
770
00:40:01,107 --> 00:40:04,909
set a challenge designed
specifically for hive minds.
771
00:40:04,911 --> 00:40:07,779
It placed 10 red balloons,
772
00:40:07,781 --> 00:40:10,348
each adorned
with a special certificate,
773
00:40:10,350 --> 00:40:13,050
at secret locations
across the U.S.
774
00:40:13,052 --> 00:40:15,720
It offered a $40,000 prize
775
00:40:15,722 --> 00:40:18,556
to the team that discovered
the GPS coordinates
776
00:40:18,558 --> 00:40:21,526
of all 10 balloons the fastest.
777
00:40:21,528 --> 00:40:24,829
Thousands of teams
took up the challenge.
778
00:40:24,831 --> 00:40:27,532
Sandy's plan was to engage
779
00:40:27,534 --> 00:40:32,904
a swarm of cell-toting,
social-media-connected minds.
780
00:40:32,906 --> 00:40:36,073
And what we did
is we leveraged social media
781
00:40:36,075 --> 00:40:37,642
in a very creative way.
782
00:40:37,644 --> 00:40:40,444
So, I wouldn't just give you
a prize for finding a balloon.
783
00:40:40,446 --> 00:40:44,215
I'd give you a prize
for recruiting people,
784
00:40:44,217 --> 00:40:46,584
one of whom
might find the balloon.
785
00:40:46,586 --> 00:40:49,020
So, if they found the balloon,
you'd get some, too.
786
00:40:49,022 --> 00:40:52,156
And what this does
is it creates a cascade.
787
00:40:52,158 --> 00:40:54,458
Thousands and thousands
of people,
788
00:40:54,460 --> 00:40:57,261
all recruiting their friends
to look for the balloon
789
00:40:57,263 --> 00:41:00,364
because it's in their interest
to do that.
790
00:41:00,366 --> 00:41:03,668
Sandy's method
worked incredibly well.
791
00:41:03,670 --> 00:41:07,672
His M.I.T. team bagged photos
of all 10 balloons,
792
00:41:07,674 --> 00:41:11,809
uncovered in places like
San Francisco's Union Square
793
00:41:11,811 --> 00:41:13,578
and a tennis court in Virginia,
794
00:41:13,580 --> 00:41:16,147
in just nine hours.
795
00:41:16,149 --> 00:41:17,849
They were able
to find the balloons
796
00:41:17,851 --> 00:41:19,750
faster than anybody else
in the world --
797
00:41:19,752 --> 00:41:21,652
in fact, in a time
798
00:41:21,654 --> 00:41:24,388
that they generally thought
was impossible.
799
00:41:24,390 --> 00:41:28,492
In social species,
there's a drive to be social.
800
00:41:28,494 --> 00:41:31,028
If you ask,
"What's the number-one thing
801
00:41:31,030 --> 00:41:32,630
that contributes
to life satisfaction?"
802
00:41:32,632 --> 00:41:35,333
It's building things
with other people.
803
00:41:35,335 --> 00:41:37,768
And what we've done
is developed technology
804
00:41:37,770 --> 00:41:40,004
to try and help us do that.
805
00:41:43,041 --> 00:41:46,577
Imagine a sea of humanity
with instant awareness of events
806
00:41:46,579 --> 00:41:51,215
taking place over ranges
of thousands of miles.
807
00:41:51,217 --> 00:41:53,284
We could trace the source
of a viral epidemic
808
00:41:53,286 --> 00:41:56,354
to one apartment block
in a matter of hours,
809
00:41:56,356 --> 00:41:59,023
just by seeing
who was staying home from work
810
00:41:59,025 --> 00:42:01,359
with their cellphone turned on.
811
00:42:01,361 --> 00:42:04,562
We could solve age-old problems
of hunger and poverty
812
00:42:04,564 --> 00:42:07,632
by tracking
supply and demand for food
813
00:42:07,634 --> 00:42:09,934
on a minute-to-minute basis.
814
00:42:09,936 --> 00:42:11,769
What you'll see in the future,
815
00:42:11,771 --> 00:42:14,784
where we're able
to pool our experience
816
00:42:14,809 --> 00:42:17,622
to make all of
our individual experiences better.
817
00:42:20,652 --> 00:42:23,700
So, what is
the future of race?
818
00:42:24,758 --> 00:42:28,351
Genetics tells us that there are
subtle differences between us.
819
00:42:28,376 --> 00:42:30,560
Both on the inside and
the outside.
820
00:42:31,415 --> 00:42:34,064
Those differences emerged
as we wandered the Earth
821
00:42:34,089 --> 00:42:37,777
as separate tribes,
for more than 50,000 years.
822
00:42:38,444 --> 00:42:42,171
But now, something new
is happening in human history.
823
00:42:42,196 --> 00:42:44,887
We don't have room
to be separate anymore.
824
00:42:45,520 --> 00:42:49,831
Technology, combined with our
deep instinct to work together
825
00:42:50,163 --> 00:42:54,191
is about to push us
one giant step forward.
826
00:42:54,297 --> 00:42:57,473
And will create
not a superior race,
827
00:42:57,946 --> 00:43:02,166
but a superior species,
to which we will all belong.
828
00:43:02,382 --> 00:43:06,382
== sync, corrected by elderman ==
DHD sync by tagman90
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00:43:06,432 --> 00:43:10,982
Repair and Synchronization by
Easy Subtitles Synchronizer 1.0.0.0
65743
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