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Freeman:
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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Freeman:
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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Freeman:
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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Freeman: 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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[ Applause ]
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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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Freeman:
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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Freeman:
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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Freeman:
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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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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[ Machine beeping ]
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[ Bell dinging ]
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[ Big-band-style music plays ]
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Freeman:
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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Freeman:
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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Freeman:
When John and his colleagues
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used this gene-dating technique
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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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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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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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Freeman:
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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Hawks: Probably
the most obvious examples
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are the examples where
there's a disease that's new
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that some people have developed
resistance strategies to.
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So, malaria, for example,
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is a disease that has been
around for about 5,000 years
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as a human pathogen.
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Over that time, populations
in South Asia, in Africa,
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00:13:09,392 --> 00:13:13,627
have developed new adaptations
to this particular disease.
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Freeman: But John suspects
there is another force
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driving these genetic changes --
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our civilization.
253
00:13:20,603 --> 00:13:22,469
It is an idea
that puts him at odds
254
00:13:22,471 --> 00:13:25,039
with most evolutionary
scientists,
255
00:13:25,041 --> 00:13:27,741
including the father
of them all --
256
00:13:27,743 --> 00:13:29,443
Charles Darwin.
257
00:13:29,445 --> 00:13:33,647
Darwin talked about
the hostile forces of nature,
258
00:13:33,649 --> 00:13:37,985
the sun beating down on us,
the cold of the winter,
259
00:13:37,987 --> 00:13:40,587
and these would change us,
260
00:13:40,589 --> 00:13:43,557
because we had to adapt
to those environments.
261
00:13:43,559 --> 00:13:46,527
And in human evolution,
we could invent things.
262
00:13:46,529 --> 00:13:50,331
We could change our behavior
and our culture to insulate us,
263
00:13:50,333 --> 00:13:52,299
to buffer us from those things.
264
00:13:52,301 --> 00:13:56,036
And so the idea was that humans
didn't have to change biology
265
00:13:56,038 --> 00:13:58,439
in order to adapt to new places.
266
00:14:00,508 --> 00:14:04,178
Freeman: Charles Darwin's
argument was
267
00:14:04,180 --> 00:14:06,914
that farming, houses, clothes,
268
00:14:06,916 --> 00:14:09,483
should stop our genes
from changing and evolving,
269
00:14:09,485 --> 00:14:13,120
because we began protecting
ourselves from our environments.
270
00:14:13,122 --> 00:14:16,357
But John's research shows
271
00:14:16,359 --> 00:14:19,827
that the different ways
groups of humans chose to live
272
00:14:19,829 --> 00:14:22,296
in different parts of the world
273
00:14:22,298 --> 00:14:24,965
could actually
have driven genetic changes.
274
00:14:24,967 --> 00:14:26,467
Probably the best example
275
00:14:26,469 --> 00:14:29,970
of how culture has influenced
our evolution is milk drinking.
276
00:14:29,972 --> 00:14:33,207
Now, it's not normal
for adult mammals
277
00:14:33,209 --> 00:14:35,209
to have access to milk.
278
00:14:35,211 --> 00:14:37,878
If you think about a bull
trying to get milk
279
00:14:37,880 --> 00:14:39,546
up from underneath
the cow's udder...
280
00:14:39,548 --> 00:14:40,681
[ Moo! ]
281
00:14:40,683 --> 00:14:42,483
...it just doesn't work
in nature.
282
00:14:42,485 --> 00:14:44,251
[ Moo! Clang! ]
283
00:14:44,253 --> 00:14:46,553
There have been many populations
284
00:14:46,555 --> 00:14:49,256
that have adopted dairy animals
of different kinds.
285
00:14:49,258 --> 00:14:52,726
Five of them have developed
new mutations
286
00:14:52,728 --> 00:14:54,862
that give them, as adults,
287
00:14:54,864 --> 00:14:57,965
the ability to digest
the sugar in this milk.
288
00:14:57,967 --> 00:15:01,068
In northern Europe, this is
a really common mutation.
289
00:15:01,070 --> 00:15:04,004
But if you go to come parts
of the world, like China,
290
00:15:04,006 --> 00:15:07,074
it's very rare for people
to be able to drink milk.
291
00:15:07,076 --> 00:15:08,609
[ Burps ]
292
00:15:08,611 --> 00:15:11,945
But in fact, it's the ability
to digest this milk,
293
00:15:11,947 --> 00:15:14,715
the lactase persistence,
as we call it,
294
00:15:14,717 --> 00:15:17,284
which is the weird,
mutant version of this.
295
00:15:17,286 --> 00:15:19,553
And it's all happened
in populations
296
00:15:19,555 --> 00:15:21,889
because they've changed
their culture.
297
00:15:21,891 --> 00:15:23,791
Freeman:
Just as the climates
298
00:15:23,793 --> 00:15:26,427
where different
ethnic groups lived varied,
299
00:15:26,429 --> 00:15:29,363
so did the rules and habits
of their societies.
300
00:15:29,365 --> 00:15:32,566
And their DNA
was forced to adapt.
301
00:15:32,568 --> 00:15:34,501
Hawks:
If you're a human,
302
00:15:34,503 --> 00:15:38,005
you have to survive and
deal with other people every day
303
00:15:38,007 --> 00:15:39,440
in order to reproduce.
304
00:15:39,442 --> 00:15:42,876
And that makes culture
your environment.
305
00:15:42,878 --> 00:15:45,446
Freeman:
Genetic adaptations
306
00:15:45,448 --> 00:15:48,615
may even have altered
the way our brains work.
307
00:15:48,617 --> 00:15:50,451
John and his colleagues
308
00:15:50,453 --> 00:15:53,387
have discovered
around 100 mutations
309
00:15:53,389 --> 00:15:55,489
in genes controlling
brain chemistry
310
00:15:55,491 --> 00:15:56,723
that have taken place
311
00:15:56,725 --> 00:15:59,860
since humanity migrated
from Africa.
312
00:15:59,862 --> 00:16:05,332
One of them,
a genetic variant called DRD4,
313
00:16:05,334 --> 00:16:09,870
may even have triggered that
migration in the first place.
314
00:16:09,872 --> 00:16:11,238
It's linked to ADHD,
315
00:16:11,240 --> 00:16:14,208
because when we study patients
who have ADHD,
316
00:16:14,210 --> 00:16:17,377
they have a greater chance
of having this gene.
317
00:16:17,379 --> 00:16:18,846
One possible reason is
318
00:16:18,848 --> 00:16:21,482
that it made people
more likely to move.
319
00:16:21,484 --> 00:16:24,918
The DRD4 mutation
is most commonly found
320
00:16:24,920 --> 00:16:28,555
in populations that live
outside of Africa.
321
00:16:28,557 --> 00:16:31,959
It appeared
around 50,000 years ago.
322
00:16:31,961 --> 00:16:34,628
It has been called
"the migration gene,"
323
00:16:34,630 --> 00:16:37,431
because traits
like rapidly shifting focus
324
00:16:37,433 --> 00:16:39,066
and quick movements
325
00:16:39,068 --> 00:16:43,570
could have been very useful when
our ancestors were on the move.
326
00:16:43,572 --> 00:16:47,274
Even though short attention
now appears less useful
327
00:16:47,276 --> 00:16:49,910
in our modern,
sedentary society.
328
00:16:49,912 --> 00:16:53,247
DRD4 is the best example
of a gene
329
00:16:53,249 --> 00:16:55,716
that is clearly
recently selected
330
00:16:55,718 --> 00:16:57,584
and has behavioral impacts.
331
00:16:57,586 --> 00:16:59,319
It affects the brain
in some way.
332
00:16:59,321 --> 00:17:00,687
But there are others.
333
00:17:00,689 --> 00:17:02,356
And we don't know what they do,
334
00:17:02,358 --> 00:17:05,092
but we can say that
they're expressed in the brain,
335
00:17:05,094 --> 00:17:08,662
they're related to our behavior
in some way, potentially.
336
00:17:08,664 --> 00:17:10,731
But we don't know
what those changes are for.
337
00:17:10,733 --> 00:17:15,269
Freeman: The notion that genetic
changes affecting the brain
338
00:17:15,271 --> 00:17:16,703
might actually underpin
339
00:17:16,705 --> 00:17:19,139
the spread of humanity
across the globe
340
00:17:19,141 --> 00:17:21,775
leads to an unsettling question.
341
00:17:21,777 --> 00:17:24,478
Might some races have evolved
342
00:17:24,480 --> 00:17:27,781
to become more intelligent
than others?
343
00:17:27,783 --> 00:17:31,251
It is a highly divisive notion,
344
00:17:31,253 --> 00:17:34,454
but some scientists
are probing the issue,
345
00:17:34,456 --> 00:17:38,859
and their conclusions
have triggered outrage.
346
00:17:41,830 --> 00:17:44,132
Race.
347
00:17:44,134 --> 00:17:47,869
It is a word
that stirs powerful emotions.
348
00:17:47,871 --> 00:17:49,270
Some scientists think
349
00:17:49,272 --> 00:17:52,340
the genetic differences
between us are so small
350
00:17:52,342 --> 00:17:55,610
that the word "race"
doesn't even make sense.
351
00:17:55,612 --> 00:17:59,947
But understanding how
evolution has shaped the races
352
00:17:59,949 --> 00:18:01,849
and continues to do so
353
00:18:01,851 --> 00:18:04,786
is of great
scientific importance.
354
00:18:07,022 --> 00:18:10,725
The trait that sets humans apart
from all other species
355
00:18:10,727 --> 00:18:14,228
is our incredibly complex brain.
356
00:18:14,230 --> 00:18:17,965
But could the brains
of different races be different?
357
00:18:17,967 --> 00:18:22,003
Could they have
different intelligences?
358
00:18:22,005 --> 00:18:25,273
Renowned psychologist
Stanley Coren
359
00:18:25,275 --> 00:18:28,976
has spent years studying
intelligence differences --
360
00:18:28,978 --> 00:18:31,679
not among different races
of people,
361
00:18:31,681 --> 00:18:35,283
but in different breeds of dogs.
362
00:18:35,285 --> 00:18:37,852
Dogs are a marvel
of genetic engineering,
363
00:18:37,854 --> 00:18:40,655
simply because
we've kept the breeds separate.
364
00:18:40,657 --> 00:18:47,528
You know, my grandparents were
Latvia, Lithuania, Russia,
365
00:18:47,530 --> 00:18:49,597
but I take a golden retriever,
366
00:18:49,599 --> 00:18:52,934
and his granddaddy was
a purebred golden retriever,
367
00:18:52,936 --> 00:18:56,104
and his great-granddaddy was,
and so on and so forth.
368
00:18:56,106 --> 00:18:58,206
So, there's less noise
in the genome.
369
00:18:58,208 --> 00:19:01,976
Freeman:
For at least 14,000 years,
370
00:19:01,978 --> 00:19:05,747
humans have systematically
shaped the evolution of dogs,
371
00:19:05,749 --> 00:19:08,549
changing them to fit our needs.
372
00:19:08,551 --> 00:19:11,385
Stanley has measured
the intelligence
373
00:19:11,387 --> 00:19:13,187
of more than 100 breeds.
374
00:19:13,189 --> 00:19:17,525
So, we can get dogs which,
because of their breeding,
375
00:19:17,527 --> 00:19:20,561
differ in terms
of their intelligence.
376
00:19:20,563 --> 00:19:23,431
If you take a young child
below 18 months of age
377
00:19:23,433 --> 00:19:25,566
and you put a towel
over his head,
378
00:19:25,568 --> 00:19:27,668
he thinks
that the world has gone away,
379
00:19:27,670 --> 00:19:28,736
and he sits there.
380
00:19:28,738 --> 00:19:31,506
So, if Montana has a mental
ability
381
00:19:31,508 --> 00:19:33,641
beyond an 18-month-old human,
382
00:19:33,643 --> 00:19:35,743
Montana should throw
the towel off of his head
383
00:19:35,745 --> 00:19:36,878
very quickly.
384
00:19:36,880 --> 00:19:38,813
Are you ready, Montana? Go.
385
00:19:44,219 --> 00:19:47,555
Freeman: Stanley's test results
have convinced him
386
00:19:47,557 --> 00:19:51,092
that there are big differences
in canine intelligence
387
00:19:51,094 --> 00:19:53,594
from breed to breed.
388
00:19:53,596 --> 00:19:55,363
Coren: Where has the world gone?
389
00:19:55,365 --> 00:19:58,332
Okay, what a good dog.
390
00:19:58,334 --> 00:20:00,802
And then I've got a beagle.
391
00:20:00,804 --> 00:20:04,338
And his job is to amuse
my grandchildren.
392
00:20:04,340 --> 00:20:06,941
As dog intelligence goes,
393
00:20:06,943 --> 00:20:09,143
beagles are seven
from the bottom.
394
00:20:09,145 --> 00:20:12,046
So, this bench
that I'm sitting on right now
395
00:20:12,048 --> 00:20:14,081
is more trainable than a beagle.
396
00:20:14,083 --> 00:20:17,051
The top dogs
in terms of intelligence
397
00:20:17,053 --> 00:20:20,621
are the Border Collie,
followed by the poodle.
398
00:20:20,623 --> 00:20:22,957
Some people say, "the poodle?
That's a froufrou dog."
399
00:20:22,959 --> 00:20:25,660
No, the poodle is
a retriever, okay?
400
00:20:25,662 --> 00:20:28,696
And he didn't ask
for that silly haircut.
401
00:20:28,698 --> 00:20:32,266
Freeman: If some breeds of dogs
are smarter than others,
402
00:20:32,268 --> 00:20:33,768
why could that not be true
403
00:20:33,770 --> 00:20:37,038
for the animals
at the other end of the leash?
404
00:20:37,040 --> 00:20:42,243
University of Delaware
sociologist Linda Gottfredson
405
00:20:42,245 --> 00:20:45,112
has been analyzing
I.Q. test scores
406
00:20:45,114 --> 00:20:47,048
for the past two decades.
407
00:20:47,050 --> 00:20:52,119
She claims they reveal
a subtle but measurable link
408
00:20:52,121 --> 00:20:56,057
between intelligence,
genetics, and race.
409
00:20:56,059 --> 00:20:59,427
For very complex traits
like intelligence,
410
00:20:59,429 --> 00:21:02,330
many genes have small effect,
411
00:21:02,332 --> 00:21:05,433
may push a person this way
or that.
412
00:21:05,435 --> 00:21:09,937
And they're really,
really hard to find.
413
00:21:09,939 --> 00:21:12,306
Individual I.Q.s
414
00:21:12,308 --> 00:21:16,644
are as diverse as the grains
of sand on a beach.
415
00:21:16,646 --> 00:21:20,848
But Linda believes there are
patterns in this noise,
416
00:21:20,850 --> 00:21:24,719
patterns that depend on
our genes.
417
00:21:24,721 --> 00:21:26,821
Gottfredson:
As any parent knows,
418
00:21:26,823 --> 00:21:28,389
brothers and sisters
look different.
419
00:21:28,391 --> 00:21:30,925
They often have
different personalities,
420
00:21:30,927 --> 00:21:34,161
and they often have different
levels of intelligence.
421
00:21:34,163 --> 00:21:37,798
The average difference
between siblings
422
00:21:37,800 --> 00:21:40,468
is 12 I.Q. points.
423
00:21:40,470 --> 00:21:43,905
If you compare to random people
walking on the beach,
424
00:21:43,907 --> 00:21:47,375
you might ask, "Well,
how different are those people?"
425
00:21:47,377 --> 00:21:52,213
On the average, strangers differ
by 17 I.Q. points.
426
00:21:52,215 --> 00:21:56,050
So, you see that biological
brothers and sisters
427
00:21:56,052 --> 00:21:59,020
are 2/3 as different
on the average
428
00:21:59,022 --> 00:22:01,889
as random strangers
on the street.
429
00:22:01,891 --> 00:22:06,627
Freeman: The genes of strangers vary
more than those of siblings,
430
00:22:06,629 --> 00:22:11,198
and Linda argues this is
why their I.Q.s vary more.
431
00:22:11,200 --> 00:22:13,701
Her interpretation of this data
432
00:22:13,703 --> 00:22:15,803
has led her
to a controversial notion,
433
00:22:15,805 --> 00:22:18,372
that the genetic differences
between races
434
00:22:18,374 --> 00:22:19,907
might lead to differences
435
00:22:19,909 --> 00:22:24,011
in the average intelligence
of those races.
436
00:22:24,013 --> 00:22:25,913
Gottfredson:
I guess there would be
437
00:22:25,915 --> 00:22:28,382
two rules
about human diversity.
438
00:22:28,384 --> 00:22:34,455
One is that
there's lots of variation
439
00:22:34,457 --> 00:22:36,223
within all groups,
440
00:22:36,225 --> 00:22:41,595
but there's also
a gradation between the groups
441
00:22:41,597 --> 00:22:44,932
so that there are recurring
442
00:22:44,934 --> 00:22:48,102
and sometimes large
average differences
443
00:22:48,104 --> 00:22:50,037
between racial ethnic groups.
444
00:22:50,039 --> 00:22:53,040
Freeman: I.Q. scores
in any group of people
445
00:22:53,042 --> 00:22:55,309
are spread across a bell curve
446
00:22:55,311 --> 00:23:00,548
ranging from a score
of about 70 to about 130.
447
00:23:00,550 --> 00:23:03,351
There are outliers
on either end,
448
00:23:03,353 --> 00:23:07,088
but most people are clustered
around an average.
449
00:23:07,090 --> 00:23:10,825
There are differences
between racial ethnic groups
450
00:23:10,827 --> 00:23:14,261
on the average in I.Q.
451
00:23:14,263 --> 00:23:19,100
The average white I.Q.
is arbitrarily set at 100.
452
00:23:19,102 --> 00:23:23,504
Blacks in the United States and
in many other western countries
453
00:23:23,506 --> 00:23:25,740
average 85.
454
00:23:25,742 --> 00:23:29,677
Hispanics --
the average would be about 80.
455
00:23:29,679 --> 00:23:33,214
Native Americans
around that level.
456
00:23:33,216 --> 00:23:37,852
And then Japanese
and Chinese Americans
457
00:23:37,854 --> 00:23:40,054
above the white average.
458
00:23:40,056 --> 00:23:45,326
And then Ashkenazi Jews
probably around 110, 115.
459
00:23:45,328 --> 00:23:49,363
Freeman: Linda's research has
made her a scientific outcast.
460
00:23:49,365 --> 00:23:54,969
She's even been called a racist,
a claim she denies.
461
00:23:54,971 --> 00:23:58,139
Her critics argue
that I.Q. tests results
462
00:23:58,141 --> 00:24:01,509
are heavily skewed
by socioeconomic factors.
463
00:24:01,511 --> 00:24:05,079
Childhood nutrition
and access to healthcare
464
00:24:05,081 --> 00:24:08,215
can vary widely between
different racial groups.
465
00:24:08,217 --> 00:24:10,518
If you live
in a good neighborhood
466
00:24:10,520 --> 00:24:12,119
with well-funded schools,
467
00:24:12,121 --> 00:24:14,388
you are more likely
to be accustomed
468
00:24:14,390 --> 00:24:16,857
to the academic setting
of an I.Q. test.
469
00:24:16,859 --> 00:24:18,859
And if you live
in those neighborhoods,
470
00:24:18,861 --> 00:24:22,296
you are more likely to be
Asian or White.
471
00:24:22,298 --> 00:24:24,065
There are also concerns
472
00:24:24,067 --> 00:24:27,935
over whether the test questions
have a cultural bias,
473
00:24:27,937 --> 00:24:29,537
a bias reflected by the fact
474
00:24:29,539 --> 00:24:34,642
that it's the white I.Q. average
that's set to 100.
475
00:24:34,644 --> 00:24:38,546
Is one race
smarter than another?
476
00:24:38,548 --> 00:24:41,849
Depends on what you mean
by smart.
477
00:24:41,851 --> 00:24:43,517
Could I.Q. scores predict
478
00:24:43,519 --> 00:24:46,153
the greatness
of an artist like Picasso
479
00:24:46,155 --> 00:24:49,423
or of a political leader
like Gandhi?
480
00:24:49,425 --> 00:24:52,893
I.Q. is a narrow obsession.
481
00:24:52,895 --> 00:24:55,796
No two people think
the same way,
482
00:24:55,798 --> 00:24:58,132
regardless of their race.
483
00:24:58,134 --> 00:25:00,468
So, here's a new question.
484
00:25:00,470 --> 00:25:04,505
If the brains of the races
are similar now,
485
00:25:04,507 --> 00:25:06,841
will that always be true?
486
00:25:06,843 --> 00:25:09,243
We are still evolving.
487
00:25:09,245 --> 00:25:12,079
Could our brains
one day become as different
488
00:25:12,081 --> 00:25:15,816
as those of Border Collies
and beagles?
489
00:25:17,710 --> 00:25:21,713
Evolution has given human beings
one incredible asset --
490
00:25:22,722 --> 00:25:25,556
the remarkable network
of nerve cells
491
00:25:25,558 --> 00:25:28,292
buzzing around inside our heads.
492
00:25:28,294 --> 00:25:31,829
The growth of these three pounds
of soft tissue
493
00:25:31,831 --> 00:25:33,998
catapulted human intelligence
494
00:25:34,000 --> 00:25:37,001
to a level far above
the other species.
495
00:25:37,003 --> 00:25:40,104
How much further can it grow?
496
00:25:40,106 --> 00:25:43,407
Will we eventually evolve
into a superior race
497
00:25:43,409 --> 00:25:46,644
of super-intelligent humans?
498
00:25:47,912 --> 00:25:49,613
[ Engine turns over ]
499
00:25:49,615 --> 00:25:51,782
[ Tires screech ]
500
00:25:56,521 --> 00:25:58,522
Neuroscience Professor
Simon Laughlin
501
00:25:58,524 --> 00:26:02,693
from the University of Cambridge
studies brain power.
502
00:26:02,695 --> 00:26:04,428
He tests the limits
503
00:26:04,430 --> 00:26:07,865
of what brains
and their nerve cells can do,
504
00:26:07,867 --> 00:26:11,302
all the while watching
how much fuel they guzzle.
505
00:26:11,304 --> 00:26:13,671
So, I'm interested in
what the physical limits
506
00:26:13,673 --> 00:26:15,239
to the performance of brains are
507
00:26:15,241 --> 00:26:19,610
and in what determines
the processing power of brains.
508
00:26:19,612 --> 00:26:22,813
Freeman: Simon has developed
a unique way to see
509
00:26:22,815 --> 00:26:26,383
just how much information
living brains are processing
510
00:26:26,385 --> 00:26:29,086
while simultaneously
keeping track
511
00:26:29,088 --> 00:26:31,622
of how much energy
they are using.
512
00:26:31,624 --> 00:26:34,124
His window into the human brain
513
00:26:34,126 --> 00:26:38,529
is through the bulbous eyes
of flies.
514
00:26:38,531 --> 00:26:40,297
Laughlin:
They're a simpler system,
515
00:26:40,299 --> 00:26:42,433
so it's like looking at
a pocket calculator
516
00:26:42,435 --> 00:26:44,868
before you work up to
actually trying to understand
517
00:26:44,870 --> 00:26:46,503
a really big computer.
518
00:26:46,505 --> 00:26:49,573
The basic principles by which
the fly's brain operates
519
00:26:49,575 --> 00:26:50,808
is the same as ours,
520
00:26:50,810 --> 00:26:53,444
but they're much easier
to work with,
521
00:26:53,446 --> 00:26:56,447
and we have a much more complete
understanding of what they do.
522
00:26:56,449 --> 00:27:00,884
Freeman: Simon's ability to measure
the performance of fly brains
523
00:27:00,886 --> 00:27:06,323
is all thanks to this insect's
most bothersome characteristic.
524
00:27:06,325 --> 00:27:08,292
[ Flyswatter slaps,
fly buzzes ]
525
00:27:08,294 --> 00:27:10,594
Anybody who's tried to swat
a fly knows
526
00:27:10,596 --> 00:27:12,763
that they're very good
at detecting movement.
527
00:27:12,765 --> 00:27:16,467
And to do that,
they have to be able to respond
528
00:27:16,469 --> 00:27:19,670
to very rapid
and fast changes in light.
529
00:27:19,672 --> 00:27:22,272
Freeman:
In fact, detecting light
530
00:27:22,274 --> 00:27:25,476
is most of what
a fly's brain does.
531
00:27:25,478 --> 00:27:29,613
Simon's lab is stocked
with two species --
532
00:27:29,615 --> 00:27:32,483
the blowfly,
with large, bulging eyes,
533
00:27:32,485 --> 00:27:37,321
and the diminutive fruit fly,
whose eyes are much smaller.
534
00:27:37,323 --> 00:27:40,424
He and his team fit
microelectrodes
535
00:27:40,426 --> 00:27:42,693
into the fly's nerve cells,
536
00:27:42,695 --> 00:27:45,863
then they expose them
to a flickering light
537
00:27:45,865 --> 00:27:49,933
to record
their processing power.
538
00:27:49,935 --> 00:27:52,369
So, the cell responds
to the light
539
00:27:52,371 --> 00:27:54,872
by changing
its membrane potential.
540
00:27:54,874 --> 00:27:56,874
And then we can process
those signals
541
00:27:56,876 --> 00:28:00,377
to work out how much information
they contain.
542
00:28:00,379 --> 00:28:02,946
Freeman: Simon discovered
that while the fruit fly
543
00:28:02,948 --> 00:28:06,283
is able to see
some of the changes in light,
544
00:28:06,285 --> 00:28:10,587
the blowfly picks up on
even the most minute flicker.
545
00:28:10,589 --> 00:28:12,523
The blowfly's bulbous eyeballs
546
00:28:12,525 --> 00:28:16,026
spew out a huge quantity
of neural data,
547
00:28:16,028 --> 00:28:20,030
enough to fill up
a one-gigabyte memory stick
548
00:28:20,032 --> 00:28:21,465
every minute.
549
00:28:21,467 --> 00:28:24,968
But there's a downside
for the blowfly.
550
00:28:24,970 --> 00:28:26,503
So, the blowfly picks up
551
00:28:26,505 --> 00:28:30,007
about five times as many bits
per second as the fruit fly,
552
00:28:30,009 --> 00:28:33,010
but because it has
a much higher performance,
553
00:28:33,012 --> 00:28:34,311
those bits of information,
554
00:28:34,313 --> 00:28:37,881
each bit costs it
about 10 times more energy.
555
00:28:37,883 --> 00:28:41,385
Information
is very expensive for a fly.
556
00:28:41,387 --> 00:28:43,187
[ Tires screech ]
557
00:28:43,189 --> 00:28:45,289
[ Engine revs ]
558
00:28:49,961 --> 00:28:53,831
So, we have a sports car
that has a very high top speed.
559
00:28:53,833 --> 00:28:55,999
It has a very high performance.
560
00:28:56,001 --> 00:28:59,269
But also, it has
a very heavy fuel consumption.
561
00:28:59,271 --> 00:29:00,838
It uses a lot of energy.
562
00:29:00,840 --> 00:29:03,173
So, as we're idling along
now in Cambridge,
563
00:29:03,175 --> 00:29:05,709
we're not using
any of our performance at all.
564
00:29:10,181 --> 00:29:13,650
[ Engine revs ]
565
00:29:13,652 --> 00:29:16,086
This little car here
has a lot lower performance
566
00:29:16,088 --> 00:29:17,187
than this sports car,
567
00:29:17,189 --> 00:29:18,722
but it's much more economical.
568
00:29:18,724 --> 00:29:21,225
It uses much less energy
to go a given distance.
569
00:29:21,227 --> 00:29:23,627
So, you pay a high price
for high performance,
570
00:29:23,629 --> 00:29:25,028
just like neurons.
571
00:29:25,030 --> 00:29:27,397
Freeman: The powerhouse brain
of a human being
572
00:29:27,399 --> 00:29:31,235
is even less fuel efficient
than that of the blowfly.
573
00:29:31,237 --> 00:29:34,171
And this is why Simon
is almost certain
574
00:29:34,173 --> 00:29:37,908
that the human brain
has reached its limit.
575
00:29:37,910 --> 00:29:40,844
So, if the blowfly
is this sports car,
576
00:29:40,846 --> 00:29:45,148
then the human brain, with it's
vastly superior performance,
577
00:29:45,150 --> 00:29:47,384
is like a space rocket.
578
00:29:47,386 --> 00:29:51,522
Huge amounts of energy being
used to process information.
579
00:29:51,524 --> 00:29:55,259
Freeman: The human brain
is only 2% of our body mass,
580
00:29:55,261 --> 00:30:00,197
but it consumes 20% of
our oxygen when we are at rest.
581
00:30:00,199 --> 00:30:03,800
The smarter we get,
the higher the energy cost.
582
00:30:03,802 --> 00:30:06,837
Laughlin: If we wanted to have
a brain that was 10% better,
583
00:30:06,839 --> 00:30:09,973
we might have to have one
that was actually 20% bigger.
584
00:30:09,975 --> 00:30:14,244
Then it would make increasingly
large demands on the body.
585
00:30:14,246 --> 00:30:15,445
[ Baby fussing ]
586
00:30:15,447 --> 00:30:17,014
If the human brain got bigger,
587
00:30:17,016 --> 00:30:20,884
it would be more difficult
to give birth to children.
588
00:30:20,886 --> 00:30:23,921
And if you wanted
to make it much bigger,
589
00:30:23,923 --> 00:30:25,556
when the child was born,
590
00:30:25,558 --> 00:30:28,759
the brain would have to be less
well-developed than it is now.
591
00:30:28,761 --> 00:30:32,329
So, infancy and childhood
would last longer.
592
00:30:32,331 --> 00:30:33,964
[ Crying ]
593
00:30:33,966 --> 00:30:37,834
Our brain has evolved
to strike some sort of balance
594
00:30:37,836 --> 00:30:41,371
between the cost of processing
the information,
595
00:30:41,373 --> 00:30:42,906
which is very high,
596
00:30:42,908 --> 00:30:45,742
and the amount of information
we actually need to process.
597
00:30:45,744 --> 00:30:50,847
Freeman: But there may still be a way
for us to become smarter.
598
00:30:50,849 --> 00:30:54,017
If we take matters
into our own hands,
599
00:30:54,019 --> 00:30:58,488
we may build
a superior human race.
600
00:30:58,490 --> 00:31:02,125
And only some of us
will be part of it.
601
00:31:04,861 --> 00:31:06,795
All of modern humanity
602
00:31:06,797 --> 00:31:11,266
can trace its ancestry back
to a small group of people
603
00:31:11,268 --> 00:31:15,237
living in East Africa
about 50,000 years ago.
604
00:31:15,239 --> 00:31:18,474
We all looked very similar
back then.
605
00:31:18,476 --> 00:31:19,908
Over the millennia,
606
00:31:19,910 --> 00:31:22,511
we've adapted
to our local climates
607
00:31:22,513 --> 00:31:26,215
and become the rainbow of people
we are today.
608
00:31:26,217 --> 00:31:29,051
But evolution hasn't stopped.
609
00:31:29,053 --> 00:31:31,887
Where are we headed?
610
00:31:31,889 --> 00:31:34,823
Could a future race
of superior humans...
611
00:31:34,825 --> 00:31:38,427
[ Distorted ] Look like this?
612
00:31:41,397 --> 00:31:44,900
Peter Ward is a paleontologist
613
00:31:44,902 --> 00:31:48,637
at the University of Washington
in Seattle.
614
00:31:48,639 --> 00:31:51,240
He finds evolution
everywhere he looks,
615
00:31:51,242 --> 00:31:54,810
even inside a fish market.
616
00:31:54,812 --> 00:31:57,613
Well, we got two really standard
wonderful food fish
617
00:31:57,615 --> 00:31:59,081
in the Northwest.
618
00:31:59,083 --> 00:32:02,317
We've got this nice big halibut
and these beautiful salmon.
619
00:32:02,319 --> 00:32:04,319
If we look at the fossil record,
actually,
620
00:32:04,321 --> 00:32:06,054
these are way more primitive.
621
00:32:06,056 --> 00:32:08,223
These guys were here first
and, in fact,
622
00:32:08,225 --> 00:32:11,960
far more fish look like this --
that beautiful fusiform shape --
623
00:32:11,962 --> 00:32:13,996
than this rather ugly thing.
624
00:32:13,998 --> 00:32:16,498
It's been squished down
and flattened.
625
00:32:16,500 --> 00:32:19,668
It's like taking a salmon,
rolling it on its side,
626
00:32:19,670 --> 00:32:21,270
bringing an eye over,
627
00:32:21,272 --> 00:32:24,940
and living forever with
that totally rotated shape.
628
00:32:24,942 --> 00:32:27,209
This guy lives on the bottom,
629
00:32:27,211 --> 00:32:30,779
and this is a superb adaptation
for where it lives.
630
00:32:30,781 --> 00:32:35,284
Freeman: From the salmon,
evolution created the halibut.
631
00:32:35,286 --> 00:32:40,222
What, Peter wonders,
might it do to humans?
632
00:32:40,224 --> 00:32:43,792
It is tempting to believe
that nature has a master plan
633
00:32:43,794 --> 00:32:48,297
to evolve us into fitter,
smarter, more attractive beings.
634
00:32:48,299 --> 00:32:52,134
But nature
doesn't work that way.
635
00:32:52,136 --> 00:32:56,071
Our best traits
and our worst traits
636
00:32:56,073 --> 00:32:59,641
are chosen for us
quite randomly.
637
00:32:59,643 --> 00:33:02,010
Albert Einstein
most famously said,
638
00:33:02,012 --> 00:33:04,813
"God does not play dice
with the universe."
639
00:33:04,815 --> 00:33:06,915
Well, maybe he was right
in physics,
640
00:33:06,917 --> 00:33:09,851
but in evolution, there's
a whole lot of dice playing.
641
00:33:09,853 --> 00:33:13,055
Here's my
evolutionary dice -- die.
642
00:33:13,057 --> 00:33:17,226
This is A, T, G, and C --
the genetic code.
643
00:33:17,228 --> 00:33:19,328
When they combine together,
644
00:33:19,330 --> 00:33:22,030
they tell an organism
what traits it's gonna have.
645
00:33:22,032 --> 00:33:23,665
And much of that combination
646
00:33:23,667 --> 00:33:25,767
comes together
in random fashion.
647
00:33:25,769 --> 00:33:29,071
So if I throw
this evolutionary die,
648
00:33:29,073 --> 00:33:33,075
I'm gonna be stuck with
this particular gene,
649
00:33:33,077 --> 00:33:37,079
and that gene might take me
up any one of these four roads.
650
00:33:37,081 --> 00:33:39,848
Three of those roads might kill
you almost instantly.
651
00:33:39,850 --> 00:33:43,952
One of them might be towards
a really superior organism.
652
00:33:46,189 --> 00:33:49,691
Freeman: If Peter wants to
make his way across town
653
00:33:49,693 --> 00:33:51,393
to a high-end restaurant
654
00:33:51,395 --> 00:33:54,529
using the rules
of DNA navigation,
655
00:33:54,531 --> 00:33:59,101
he will have to rely on
the random roll of a die.
656
00:34:02,272 --> 00:34:04,439
One turn could get him closer.
657
00:34:06,442 --> 00:34:09,378
The next could turn him back
toward where he started.
658
00:34:09,380 --> 00:34:13,282
There's no telling
when or if he will ever make it.
659
00:34:13,284 --> 00:34:15,884
Evolution is a random process
660
00:34:15,886 --> 00:34:19,121
that usually leads
to genetic dead ends.
661
00:34:19,123 --> 00:34:20,422
Ugh!
662
00:34:21,591 --> 00:34:24,593
But what if Peter
could escape the randomness
663
00:34:24,595 --> 00:34:26,595
of natural selection?
664
00:34:26,597 --> 00:34:29,464
Ward: Up until we became
a technical species,
665
00:34:29,466 --> 00:34:31,967
we were,
like every other species,
666
00:34:31,969 --> 00:34:33,702
at mercy to the randomness
667
00:34:33,704 --> 00:34:37,039
and to, really,
the nastiness of evolution.
668
00:34:37,041 --> 00:34:38,940
The next stage
of human evolution
669
00:34:38,942 --> 00:34:40,742
is going to be we humans
670
00:34:40,744 --> 00:34:44,680
tinkering
right into the genome itself.
671
00:34:46,082 --> 00:34:50,185
Not only can we change people
in their lifetime,
672
00:34:50,187 --> 00:34:54,122
but we'll be able
to change their very DNA
673
00:34:54,124 --> 00:34:55,924
so that they and their changes
674
00:34:55,926 --> 00:34:58,393
get passed on
to the next generation.
675
00:34:58,395 --> 00:35:01,263
Freeman: With this type
of directed evolution,
676
00:35:01,265 --> 00:35:04,533
Peter does not have to
blindly depend on chance
677
00:35:04,535 --> 00:35:07,669
to get him where he wants to go.
678
00:35:10,073 --> 00:35:12,140
Waterfront Seafood Grill.
679
00:35:18,247 --> 00:35:20,082
Genetic technology
680
00:35:20,084 --> 00:35:23,251
could take you on a direct route
from "A" to "B",
681
00:35:23,253 --> 00:35:25,253
as long as you can pay
for the ride.
682
00:35:25,255 --> 00:35:27,556
[ Tires screech ]
Peter believes that once humans
683
00:35:27,558 --> 00:35:30,092
start pursuing
unnatural selection,
684
00:35:30,094 --> 00:35:33,328
we will diverge
into two separate races --
685
00:35:33,330 --> 00:35:36,732
those who are left rolling
the evolutionary dice
686
00:35:36,734 --> 00:35:41,436
and those who can afford
to design their own genome.
687
00:35:41,438 --> 00:35:44,239
All right.
Thank you much.
688
00:35:44,241 --> 00:35:46,541
Halibut. Thanks.
689
00:35:46,543 --> 00:35:49,544
I could see a point
where once the differences
690
00:35:49,546 --> 00:35:51,213
we engineer into ourselves
691
00:35:51,215 --> 00:35:53,715
are so different
from what you find
692
00:35:53,717 --> 00:35:55,717
in the wild, stock humans
693
00:35:55,719 --> 00:35:58,620
versus the genetically
engineered humans,
694
00:35:58,622 --> 00:36:00,455
there will be a divergence.
695
00:36:00,457 --> 00:36:02,691
If you had children that bred
696
00:36:02,693 --> 00:36:04,326
with other children
with these enhancements,
697
00:36:04,328 --> 00:36:05,727
it keeps going.
698
00:36:05,729 --> 00:36:08,663
You're gonna see
a social drifting apart.
699
00:36:08,665 --> 00:36:10,499
And speciation happens
700
00:36:10,501 --> 00:36:15,170
when gene pools separate --
populations separate.
701
00:36:15,172 --> 00:36:18,273
Freeman: It is a grim vision
of the future --
702
00:36:18,275 --> 00:36:20,475
a global gated community
703
00:36:20,477 --> 00:36:24,613
of super-rich,
long-lived human 2.0's
704
00:36:24,615 --> 00:36:27,282
hogging all the resources...
705
00:36:27,284 --> 00:36:30,986
And a completely separate
species of people
706
00:36:30,988 --> 00:36:33,221
who can barely survive.
707
00:36:33,223 --> 00:36:35,123
But another technological course
708
00:36:35,125 --> 00:36:38,226
is driving us
in a different direction.
709
00:36:39,762 --> 00:36:43,064
The next big leap toward
creating a superior human race
710
00:36:43,066 --> 00:36:45,667
may come from us putting aside
our differences
711
00:36:45,669 --> 00:36:49,204
and putting our heads together.
712
00:36:51,451 --> 00:36:54,386
Earth is already
a crowded place.
713
00:36:54,388 --> 00:36:56,288
And by the end of this century,
714
00:36:56,290 --> 00:37:00,592
the human population
will probably reach 11 billion.
715
00:37:00,594 --> 00:37:04,730
We'll be packed in
as tightly as bees in a hive.
716
00:37:04,732 --> 00:37:07,299
That prospect
has inspired some scientists
717
00:37:07,301 --> 00:37:10,268
to envision
a new evolution of mankind.
718
00:37:10,270 --> 00:37:13,372
Just as insect colonies
share the workload,
719
00:37:13,374 --> 00:37:17,509
perhaps we can learn to harness
the power of multiple brains
720
00:37:17,511 --> 00:37:22,447
and create a vastly superior
global hive mind.
721
00:37:25,418 --> 00:37:28,487
"Sandy" Pentland is the head
of the Human Dynamics Lab
722
00:37:28,489 --> 00:37:29,888
at M.I.T.
723
00:37:29,890 --> 00:37:32,624
He's a pioneer
of a new field of research --
724
00:37:32,626 --> 00:37:35,427
computational social science.
725
00:37:35,429 --> 00:37:37,262
Sandy believes humanity
726
00:37:37,264 --> 00:37:40,732
is about to become
a smarter, superior species --
727
00:37:40,734 --> 00:37:42,601
not because
we're going to evolve
728
00:37:42,603 --> 00:37:44,736
at the individual level,
729
00:37:44,738 --> 00:37:48,006
but through a transformation
in the way we work together.
730
00:37:48,008 --> 00:37:49,875
Pentland:
So, human organizations
731
00:37:49,877 --> 00:37:52,477
are a little bit like
an information machine.
732
00:37:52,479 --> 00:37:54,613
The gears
not only have to fit together,
733
00:37:54,615 --> 00:37:56,214
but they have to be synchronized
734
00:37:56,216 --> 00:37:59,484
so that they work together
rather than against each other.
735
00:37:59,486 --> 00:38:01,753
So, this desire to synchronize
736
00:38:01,755 --> 00:38:04,923
is something that's very ancient
in our species,
737
00:38:04,925 --> 00:38:07,492
and you see it in dance
and also in music,
738
00:38:07,494 --> 00:38:09,928
like here
with the M.I.T. Logarhythms,
739
00:38:09,930 --> 00:38:12,164
where bass comes in.
740
00:38:12,166 --> 00:38:15,767
Bass: ♪ we
741
00:38:15,769 --> 00:38:17,903
Pentland:
And the baritone comes in.
742
00:38:17,905 --> 00:38:20,439
Baritones: ♪ are
Bass: ♪ we
743
00:38:20,441 --> 00:38:22,040
Pentland: And the tenor.
744
00:38:22,042 --> 00:38:28,113
Tenors: ♪ we are
Baritones: ♪ are
Bass: ♪ we
745
00:38:28,115 --> 00:38:30,849
and then they meld together
into a whole.
746
00:38:30,851 --> 00:38:32,651
♪ We
♪ we are
747
00:38:32,653 --> 00:38:34,786
♪ we
♪ we are
♪ we are
748
00:38:34,788 --> 00:38:37,222
♪ we
♪ we are
♪ we are
749
00:38:37,224 --> 00:38:39,491
Pentland: Music like this
is an example of something
750
00:38:39,493 --> 00:38:42,194
that's much bigger
than just the individuals.
751
00:38:42,196 --> 00:38:45,764
♪ We are
752
00:38:45,766 --> 00:38:48,700
Freeman: Humans are naturally
social creatures.
753
00:38:48,702 --> 00:38:50,702
We developed language
and culture
754
00:38:50,704 --> 00:38:54,339
to trade knowledge
and share experiences.
755
00:38:54,341 --> 00:38:57,409
Sandy believes
that we are about to supercharge
756
00:38:57,411 --> 00:39:00,045
the degree
to which we share knowledge,
757
00:39:00,047 --> 00:39:05,117
thanks to a quantum leap
in communication technology.
758
00:39:05,119 --> 00:39:08,386
One of the most profound changes
has happened in the last decade.
759
00:39:08,388 --> 00:39:10,322
And something
that's not well appreciated
760
00:39:10,324 --> 00:39:12,390
is the fact that we all carry
around phones,
761
00:39:12,392 --> 00:39:14,759
and these are getting smarter
and smarter.
762
00:39:14,761 --> 00:39:16,328
Take traffic, for example.
763
00:39:16,330 --> 00:39:20,198
You can now look on your phone
or on your car dashboard
764
00:39:20,200 --> 00:39:24,069
and see how dense the traffic is
and get real-time updates.
765
00:39:24,071 --> 00:39:26,872
Technology
that lets us share pictures,
766
00:39:26,874 --> 00:39:29,174
share stories
in a way we never could
767
00:39:29,176 --> 00:39:31,243
and just turns the clock
right up more.
768
00:39:31,245 --> 00:39:32,844
That's all driven
by those phones
769
00:39:32,846 --> 00:39:34,613
that people are carrying around.
770
00:39:34,615 --> 00:39:36,047
So, we're being able to make
771
00:39:36,049 --> 00:39:39,317
this sort of
unified intelligence.
772
00:39:39,319 --> 00:39:41,019
Freeman:
Handheld smart devices
773
00:39:41,021 --> 00:39:44,422
are getting us to work and think
together like never before.
774
00:39:44,424 --> 00:39:46,725
They are merging humanity
775
00:39:46,727 --> 00:39:50,028
into a single
interconnected mind
776
00:39:50,030 --> 00:39:51,730
that spans the globe,
777
00:39:51,732 --> 00:39:56,268
capable of feats no single brain
could achieve.
778
00:39:56,270 --> 00:39:57,903
In 2009,
779
00:39:57,905 --> 00:40:00,505
the Defense Advanced
Research Project Agency
780
00:40:00,507 --> 00:40:04,309
set a challenge designed
specifically for hive minds.
781
00:40:04,311 --> 00:40:07,179
It placed 10 red balloons,
782
00:40:07,181 --> 00:40:09,748
each adorned
with a special certificate,
783
00:40:09,750 --> 00:40:12,450
at secret locations
across the U.S.
784
00:40:12,452 --> 00:40:15,120
It offered a $40,000 prize
785
00:40:15,122 --> 00:40:17,956
to the team that discovered
the GPS coordinates
786
00:40:17,958 --> 00:40:20,926
of all 10 balloons the fastest.
787
00:40:20,928 --> 00:40:24,229
Thousands of teams
took up the challenge.
788
00:40:24,231 --> 00:40:26,932
Sandy's plan was to engage
789
00:40:26,934 --> 00:40:32,304
a swarm of cell-toting,
social-media-connected minds.
790
00:40:32,306 --> 00:40:35,473
And what we did
is we leveraged social media
791
00:40:35,475 --> 00:40:37,042
in a very creative way.
792
00:40:37,044 --> 00:40:39,844
So, I wouldn't just give you
a prize for finding a balloon.
793
00:40:39,846 --> 00:40:43,615
I'd give you a prize
for recruiting people,
794
00:40:43,617 --> 00:40:45,984
one of whom
might find the balloon.
795
00:40:45,986 --> 00:40:48,420
So, if they found the balloon,
you'd get some, too.
796
00:40:48,422 --> 00:40:51,556
And what this does
is it creates a cascade.
797
00:40:51,558 --> 00:40:53,858
Thousands and thousands
of people,
798
00:40:53,860 --> 00:40:56,661
all recruiting their friends
to look for the balloon
799
00:40:56,663 --> 00:40:59,764
because it's in their interest
to do that.
800
00:40:59,766 --> 00:41:03,068
Freeman: Sandy's method
worked incredibly well.
801
00:41:03,070 --> 00:41:07,072
His M.I.T. team bagged photos
of all 10 balloons,
802
00:41:07,074 --> 00:41:11,209
uncovered in places like
San Francisco's Union Square
803
00:41:11,211 --> 00:41:12,978
and a tennis court in Virginia,
804
00:41:12,980 --> 00:41:15,547
in just nine hours.
805
00:41:15,549 --> 00:41:17,249
They were able
to find the balloons
806
00:41:17,251 --> 00:41:19,150
faster than anybody else
in the world --
807
00:41:19,152 --> 00:41:21,052
in fact, in a time
808
00:41:21,054 --> 00:41:23,788
that they generally thought
was impossible.
809
00:41:23,790 --> 00:41:27,892
In social species,
there's a drive to be social.
810
00:41:27,894 --> 00:41:30,428
If you ask,
"What's the number-one thing
811
00:41:30,430 --> 00:41:32,030
that contributes
to life satisfaction?"
812
00:41:32,032 --> 00:41:34,733
It's building things
with other people.
813
00:41:34,735 --> 00:41:37,168
And what we've done
is developed technology
814
00:41:37,170 --> 00:41:39,404
to try and help us do that.
815
00:41:42,441 --> 00:41:45,977
Freeman: Imagine a sea of humanity
with instant awareness of events
816
00:41:45,979 --> 00:41:50,615
taking place over ranges
of thousands of miles.
817
00:41:50,617 --> 00:41:52,684
We could trace the source
of a viral epidemic
818
00:41:52,686 --> 00:41:55,754
to one apartment block
in a matter of hours,
819
00:41:55,756 --> 00:41:58,423
just by seeing
who was staying home from work
820
00:41:58,425 --> 00:42:00,759
with their cellphone turned on.
821
00:42:00,761 --> 00:42:03,962
We could solve age-old problems
of hunger and poverty
822
00:42:03,964 --> 00:42:07,032
by tracking
supply and demand for food
823
00:42:07,034 --> 00:42:09,334
on a minute-to-minute basis.
824
00:42:09,336 --> 00:42:11,169
Pentland:
What you'll see in the future,
825
00:42:11,171 --> 00:42:14,184
where we're able
to pool our experience
826
00:42:14,209 --> 00:42:17,022
to make all of
our individual experiences better.
827
00:42:20,052 --> 00:42:23,100
Freeman: So, what is
the future of race?
828
00:42:24,158 --> 00:42:27,751
Genetics tells us that there are
subtle differences between us.
829
00:42:27,776 --> 00:42:29,960
Both on the inside and
the outside.
830
00:42:30,815 --> 00:42:33,464
Those differences emerged
as we wandered the Earth
831
00:42:33,489 --> 00:42:37,177
as separate tribes,
for more than 50,000 years.
832
00:42:37,844 --> 00:42:41,571
But now, something new
is happening in human history.
833
00:42:41,596 --> 00:42:44,287
We don't have room
to be separate anymore.
834
00:42:44,920 --> 00:42:49,231
Technology, combined with our
deep instinct to work together
835
00:42:49,563 --> 00:42:53,591
is about to push us
one giant step forward.
836
00:42:53,697 --> 00:42:56,873
And will create
not a superior race,
837
00:42:57,346 --> 00:43:01,566
but a superior species,
to which we will all belong.
838
00:43:01,782 --> 00:43:05,782
== sync, corrected by elderman ==66672
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