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♪♪
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[ Suspenseful music plays ]
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♪♪
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THOMPSON: Horses.
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[ Snorts ]
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No other animal
has done more for us.
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They're bigger,
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stronger,
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and faster than we are.
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[ Poignant tune plays ]
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And, not so long ago,
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all horses were wild.
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[ Neighing ]
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So how did this huge animal
end up as our companion?
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[ Grumbling ]
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My name is Niobe Thompson.
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I'm an anthropologist
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[chuckling]
and I just love horses.
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[ Whinnying ]
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I've discovered
that's something I share
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with people all over the world.
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[ Triumphant music climbs ]
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So I wonder:
What makes horses and humans
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so perfect for each other?
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Come with me on a journey
around the world
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and back in time
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to the origins of this
magnificent creature.
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♪♪
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[ Theme plays ]
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♪♪
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♪♪
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[ Portentous chorale plays ]
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THOMPSON:
A horse in motion
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[ Neighing ]
is poetry.
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We call them
the aristocrat of animals
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for a reason.
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Their beauty is hypnotizing.
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[ Suspenseful music plays ]
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But there's more to a horse
than meets the eye.
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Like their unparalleled speed.
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A horse can gallop
twice the speed of humans,
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with a rider on its back.
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[ Suspenseful chord strikes ]
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♪♪
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No horse is bigger than this.
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A Belgian draft horse
can pull 4 tons.
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♪♪
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But that isn't all.
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[ Suspenseful music climbs ]
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[ Performer vocalizing
tender tune ]
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The body of a horse works
in some very strange ways.
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♪♪
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Horses have enormous eyes...
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[ Neighs ]
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...the biggest eyes
of any animal on land.
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[ Huffs ]
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In daylight, horses see
almost as well as humans.
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But, at night, they see better.
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♪♪
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They have almost 360° vision.
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They have only two blind spots:
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just behind
and directly in front.
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♪♪
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But, even here,
[ Neighs ]
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horses have a kind of
second sight.
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Like a human hand, their lips
are loaded with nerve endings.
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[ Grumbling ]
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Their whiskers are so sensitive,
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they can detect
what their eyes can't see.
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[ Grumbling ]
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♪♪
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Like beavers, their teeth
never stop growing.
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♪♪
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[ Ominous chord strikes ]
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And, at the end
of their long, thin legs,
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horses have shock absorbers.
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[chuckling] They're called
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hooves.
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♪♪
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These natural gifts add up
to an incredible animal.
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[ Triumphant music plays ]
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But the most amazing
thing of all
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is they give those gifts
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to us.
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♪♪
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When I ride my horse, I forget
how much bigger he is than me.
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♪♪
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He's just so eager to please.
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♪♪
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So how did Nature create
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such a perfect partner?
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♪♪
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What are the origins
of the horse?
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[ Suspenseful music plays ]
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It's a story that began
45 million years back in time.
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The Eocene.
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Dinosaurs had gone extinct.
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[ Birds twittering ]
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Tiny primates, our ancestors,
had emerged.
100
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And so had the earliest horse.
101
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[ Whimsical sting plays ]
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Few traces remain
of that ancient world.
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The best place to find them is
this abandoned mine in Germany,
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called Grube Messel.
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Evolutionary biologist
Martin Fischer
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began his career digging
for fossils here.
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It was a good choice.
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This is the world's richest
source of Eocene fossils.
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FISCHER: It's beautiful.
-THOMPSON: Is that a alligator
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or a...?
-FISCHER: It's a fish.
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THOMPSON: It's a fish?
-FISCHER: It's a fish.
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THOMPSON:
Nearby is a museum,
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built to hold
the discoveries from below.
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♪♪
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FISCHER: These are all
original fossils.
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100% original.
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THOMPSON:
This is the treasure room.
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It holds some of the most
perfectly preserved fossils
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ever discovered.
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Crocodiles.
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Birds.
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Even bats,
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with their wing tissues
still visible.
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And the crown jewel:
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a 40-million-year-old fossil
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of Dawn Horse.
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A creature like
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this
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Amazing!
I've never seen
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such a well-preserved fossil
from this era.
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FISCHER:
Yeah. It's just wonderful.
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But, we have special
permission to take it up,
133
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to see it some very close,
and I can explain the anatomy.
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THOMPSON: Oh, it's heavy!
-FISCHER: It's heavy.
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Okay.
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THOMPSON:
The fossil is so complete,
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we can even see its last meal:
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grapes.
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Dawn Horse was a fruit eater.
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FISCHER: It's perfectly
preserved in here
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and we have the four toes
in the front.
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You see these huge canines here.
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It looks like a dog.
-THOMPSON: It really does.
144
00:07:01,233 --> 00:07:02,633
I mean, this looks like
a meat eater to me.
145
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FISCHER: [laughs]
If you ask yourself
146
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why today's stallions have
a canine, the answer is here.
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THOMPSON: But, still, Martin,
I look at this animal.
148
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I mean, it's tiny.
149
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It has these big, padded feet.
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I just don't see
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anything
of the horse in this fossil.
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FISCHER:
I totally agree.
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And, actually, this horse never
thought of becoming a horse.
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Like always in my life,
I wanted to see things moving
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and I would love
to see this horse moving.
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THOMPSON:
Martin made his name
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by showing us
how animals
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really
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from the inside out.
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Dogs.
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Cats.
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♪♪
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Even lizards.
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♪♪
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But with Dawn Horse,
he's tackling something
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much more difficult.
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Using what he's learned
about
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living
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Martin is going to rebuild
Dawn Horse,
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bone by bone,
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and, then, bring her to life.
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It's the very definition
of an educated guess.
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FISCHER: We can show you
a first attempt.
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THOMPSON: You've got some
of the bones in movement now?
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FISCHER: Yeah.
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THOMPSON:
Yeah, I'd love to see that.
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Wow. Okay, so, there's
a sense of life there.
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Those legs seem to be
moving realistically to me.
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FISCHER: That's the point.
-THOMPSON: Even though there's
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nothing attached to those legs,
-FISCHER: [Laughing]
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THOMPSON:
there's no animal above them,
the legs are moving.
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How long is it going to take you
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to get to the full,
moving animal?
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FISCHER:
I would guess that --
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What you would say,
another three months?
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MAN: [Laughing]
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FISCHER:
Two to four months?
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Simply difficult.
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THOMPSON: Okay, Martin,
well, I'm gonna come back
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in three months and we'll see
how far you've gotten.
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How 'bout that?
-FISCHER: Okay.
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Sirs, no more weekend,
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[ Laughter ]
no holidays, no nothing.
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Doing all this work, it
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is
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That's science.
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It's sailing
to an unknown island
198
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and our island, in the moment,
is Dawn Horse.
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This is what an explorer
or a scientist does
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and it's great fun.
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♪♪
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THOMPSON: All Martin's hard work
finally pays off.
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[ Whimsical tune plays ]
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He can now reveal how
Dawn Horse's bones fit together.
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[ Clacking ]
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♪♪
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And how this creature moved.
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♪♪
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Unlike a horse,
sh
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e
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♪♪
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She could turn and corner.
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♪♪
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00:10:05,233 --> 00:10:07,100
Dawn Horse didn't gallop.
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00:10:07,133 --> 00:10:08,466
She scampered.
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00:10:08,500 --> 00:10:10,033
♪♪
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[ Snort ]
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Compared to horses today,
she was tiny,
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a vulnerable animal.
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♪♪
221
00:10:21,333 --> 00:10:22,600
Desperate for cover.
222
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♪♪
223
00:10:23,966 --> 00:10:26,233
[ Insects chirping ]
224
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It's true this creature was
nothing like the horse we know.
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[ Suspenseful music plays ]
226
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But she was a perfect reflection
of her own tropical world.
227
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There were dangerous predators.
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[ Neighs ]
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00:10:42,333 --> 00:10:44,400
But also places to hide.
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♪♪
231
00:10:47,533 --> 00:10:51,033
Dawn Horse was built to survive
in dense forests.
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[ Ethereal vocals play ]
But I wonder:
233
00:10:52,933 --> 00:10:54,766
How did this
234
00:10:54,800 --> 00:10:56,933
evolve into
235
00:10:56,933 --> 00:10:56,966
this?
236
00:10:56,966 --> 00:11:00,733
[ Ominous music climbs ]
237
00:11:00,766 --> 00:11:03,133
What on Earth happened
to horses?
238
00:11:03,166 --> 00:11:06,766
[ Suspenseful music plays ]
239
00:11:06,800 --> 00:11:09,666
Well, the answer is:
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Earth happened.
241
00:11:10,900 --> 00:11:13,366
[ Portentous chorale plays ]
242
00:11:13,400 --> 00:11:16,233
Early horses were perfectly
suited to their world,
243
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full of dense, lush forests,
full of cover from predators.
244
00:11:20,533 --> 00:11:22,233
I'm only a few feet away
from you,
245
00:11:22,266 --> 00:11:25,000
but look how easy
it is for me to hide.
246
00:11:25,033 --> 00:11:28,033
And look at all
the succulent leaves:
247
00:11:28,066 --> 00:11:30,600
a herbivore's feast!
248
00:11:30,633 --> 00:11:32,700
This was a greenhouse world.
249
00:11:32,733 --> 00:11:37,233
It stayed hot for millions
of years and, in all that time,
250
00:11:37,266 --> 00:11:39,666
Dawn Horse hardly
changed at all.
251
00:11:39,700 --> 00:11:42,800
And then,
about 18 million years ago,
252
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the Earth began to cool.
253
00:11:44,433 --> 00:11:46,500
♪♪
254
00:11:46,533 --> 00:11:48,200
With the cooling climate,
255
00:11:48,233 --> 00:11:50,800
tropical forests began
to disappear.
256
00:11:50,833 --> 00:11:53,833
[ Birds chirping ]
257
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A cooler world
was also a drier world
258
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and, now, early horses
were challenged to adapt.
259
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As new kinds of horse emerged,
260
00:12:02,233 --> 00:12:06,566
to survive the cooling climate,
new plants also appeared
261
00:12:06,600 --> 00:12:09,666
and the result was that
large parts of the planet
262
00:12:09,700 --> 00:12:14,733
were covered
by an entirely new habitat:
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00:12:14,766 --> 00:12:16,000
grasslands!
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[ Triumphant chorale climbs ]
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00:12:19,233 --> 00:12:25,800
♪♪
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00:12:25,833 --> 00:12:29,766
Grasses were Nature's answer
to this cooler, drier world.
267
00:12:29,800 --> 00:12:33,433
♪♪
268
00:12:33,466 --> 00:12:35,133
Pound for pound,
269
00:12:35,166 --> 00:12:37,600
grass isn't
270
00:12:37,600 --> 00:12:37,633
nearly
271
00:12:37,633 --> 00:12:40,900
as the fruits and nuts
of the Eocene forest,
272
00:12:40,933 --> 00:12:45,666
but this was now
the habitat horses chose
273
00:12:45,700 --> 00:12:47,000
and it's amazing,
274
00:12:47,033 --> 00:12:51,133
just how much
275
00:12:51,133 --> 00:12:51,166
this
276
00:12:51,166 --> 00:12:53,633
[ Snuffling ]
277
00:12:53,666 --> 00:12:57,633
Blades of grass are like
sandpaper on teeth.
278
00:12:57,666 --> 00:12:59,700
♪♪
279
00:12:59,733 --> 00:13:02,666
So horses' heads became longer,
to make room
280
00:13:02,700 --> 00:13:05,800
for rows of molars
that never stop growing.
281
00:13:05,833 --> 00:13:07,900
[ Snorting ]
282
00:13:07,933 --> 00:13:12,000
Their enormous eyes moved
up their long heads,
283
00:13:12,033 --> 00:13:15,066
perfect for spotting danger
while eating.
284
00:13:15,100 --> 00:13:16,700
♪♪
285
00:13:16,733 --> 00:13:20,533
Horses even developed
a special kind of stomach,
286
00:13:20,566 --> 00:13:24,900
able to quickly digest grasses
and immediately run.
287
00:13:24,933 --> 00:13:26,666
♪♪
288
00:13:26,700 --> 00:13:28,433
No cow can do that.
289
00:13:28,466 --> 00:13:31,566
♪♪
290
00:13:31,600 --> 00:13:36,100
Horses now lived
in a world without cover.
291
00:13:36,133 --> 00:13:40,566
Keeping a distance
from predators was critical,
292
00:13:40,600 --> 00:13:43,733
so horses had to get faster.
293
00:13:43,766 --> 00:13:48,066
♪♪
294
00:13:48,100 --> 00:13:53,733
As horses grew, their legs
became longer and thinner,
295
00:13:53,766 --> 00:13:56,966
the legs of a runner.
296
00:13:57,000 --> 00:13:59,000
[ Neighing ]
297
00:13:59,033 --> 00:14:02,066
♪♪
298
00:14:02,100 --> 00:14:05,900
But the most amazing
change of all
299
00:14:05,933 --> 00:14:07,900
was in their toes.
300
00:14:07,933 --> 00:14:10,933
♪♪
301
00:14:10,966 --> 00:14:13,333
They lost them all.
302
00:14:13,366 --> 00:14:14,733
Except one.
303
00:14:14,766 --> 00:14:18,500
[ Crackling ]
304
00:14:18,533 --> 00:14:21,400
Martin Fisher
helps me understand.
305
00:14:21,433 --> 00:14:22,800
FISCHER:
Remember the Dawn Horse?
306
00:14:22,833 --> 00:14:24,133
Four in the front
307
00:14:24,166 --> 00:14:25,466
THOMPSON: Yeah.
-FISCHER: and three in the back.
308
00:14:25,500 --> 00:14:27,300
THOMPSON: That's right.
The phalanges, the finger bones.
309
00:14:27,333 --> 00:14:31,266
FISCHER: This is the upper arm
and this is the lower arm.
310
00:14:31,300 --> 00:14:33,066
That's the wrist joint.
311
00:14:33,100 --> 00:14:36,333
These are the bones here.
-THOMPSON: Mm-hmm.
312
00:14:36,366 --> 00:14:38,333
FISCHER:
And this is the finger.
313
00:14:38,366 --> 00:14:39,800
THOMPSON:
The finger. Amazing.
314
00:14:39,833 --> 00:14:43,266
And they stand on the end
of that finger and run on it.
315
00:14:43,300 --> 00:14:44,800
I mean, that's incredible.
-FISCHER: That's the point.
316
00:14:44,833 --> 00:14:46,600
THOMPSON:
And you say running.
317
00:14:46,633 --> 00:14:48,300
How does this structure
318
00:14:48,333 --> 00:14:50,733
make running
more efficient or faster?
319
00:14:50,766 --> 00:14:54,900
FISCHER:
The lesser surface you have,
the lesser friction you have.
320
00:14:54,933 --> 00:14:58,266
The lesser friction you
have, the faster you can go.
321
00:14:58,300 --> 00:15:00,200
THOMPSON:
Right. Stands to reason.
322
00:15:00,233 --> 00:15:02,866
So it makes sense that you
would go up on one toe
323
00:15:02,900 --> 00:15:05,100
and have a delicate
connection to the Earth.
324
00:15:05,133 --> 00:15:07,333
FISCHER: This is really
an extreme adaptation.
325
00:15:07,366 --> 00:15:08,733
THOMPSON:
The epitome of a runner.
326
00:15:08,766 --> 00:15:13,000
♪♪
327
00:15:13,033 --> 00:15:16,733
Standing on a single toe,
the horse sits far out
328
00:15:16,766 --> 00:15:21,000
on the end of its
evolutionary branch:
329
00:15:21,033 --> 00:15:25,100
an animal built to run,
330
00:15:25,133 --> 00:15:27,400
specialized for speed.
331
00:15:27,433 --> 00:15:29,533
♪♪
332
00:15:29,566 --> 00:15:32,800
Millions of years
after it evolved,
333
00:15:32,833 --> 00:15:38,133
that extraordinary ability
has us bewitched.
334
00:15:38,166 --> 00:15:42,733
♪♪
335
00:15:42,766 --> 00:15:47,300
In the modern world, machines
do the work horses once did,
336
00:15:47,333 --> 00:15:49,533
but our fascination
with the running horse
337
00:15:49,566 --> 00:15:51,100
hasn't ebbed at all.
338
00:15:51,133 --> 00:15:54,066
♪♪
339
00:15:54,100 --> 00:15:55,700
For good reason.
340
00:15:55,733 --> 00:15:59,500
There's no other animal on Earth
that can carry a human
341
00:15:59,533 --> 00:16:01,200
this fast.
342
00:16:01,233 --> 00:16:02,866
♪♪
343
00:16:02,900 --> 00:16:06,000
It just shouldn't be possible.
344
00:16:06,033 --> 00:16:09,933
How does this huge mammal
practically fly?
345
00:16:12,200 --> 00:16:14,633
[ Birds chirping ]
346
00:16:14,666 --> 00:16:19,300
If you want to understand
just why horses are so fast,
347
00:16:19,333 --> 00:16:23,300
Kentucky is
a good place to start.
348
00:16:23,333 --> 00:16:25,166
David Lambert
has spent a lifetime
349
00:16:25,200 --> 00:16:27,700
studying the thoroughbred,
350
00:16:27,733 --> 00:16:32,133
breaking down the physics and
chemistry of a running horse.
351
00:16:34,700 --> 00:16:38,900
I've pulled David away from
his work to help me understand,
352
00:16:38,933 --> 00:16:43,133
with the help of a special,
slow-motion camera.
353
00:16:43,166 --> 00:16:44,466
There we go. So we'll be able
to see the footage
354
00:16:44,500 --> 00:16:46,566
on this monitor
as the horse runs by.
355
00:16:46,600 --> 00:16:47,866
LAMBERT: Perfect.
Yeah. Let's do it.
356
00:16:47,900 --> 00:16:50,866
[ Hooves thudding ]
357
00:16:50,900 --> 00:16:52,533
THOMPSON: Hoh!
-LAMBERT: [Laughing]
358
00:16:52,566 --> 00:16:54,066
THOMPSON:
Honestly, all I see is a blur
359
00:16:54,100 --> 00:16:55,866
LAMBERT: Yes. Yes.
-THOMPSON: of moving parts
as he goes past.
360
00:16:55,900 --> 00:16:58,833
If we take that run-past
and slow it down a little bit,
361
00:16:58,866 --> 00:17:01,466
tell me what you're
seeing there in the body.
362
00:17:01,500 --> 00:17:03,166
LAMBERT: So let's look
as he puts his foot
363
00:17:03,200 --> 00:17:04,733
onto the ground, right there,
364
00:17:04,766 --> 00:17:07,066
and, now, he's loading that
tendon and that ligament,
365
00:17:07,099 --> 00:17:10,000
and it's bouncing
and throwing the leg forward.
366
00:17:10,033 --> 00:17:12,500
That leg's being thrown
by elastic, stored energy,
367
00:17:12,533 --> 00:17:14,233
not by muscle.
368
00:17:14,266 --> 00:17:16,099
And it's like a catapult.
369
00:17:16,133 --> 00:17:18,900
The size of the forces
just throw those bones
370
00:17:18,933 --> 00:17:22,066
out there and back again
and onto the next stride.
371
00:17:22,099 --> 00:17:23,133
THOMPSON:
So that's very efficient,
372
00:17:23,166 --> 00:17:24,966
when those elastics give
373
00:17:25,000 --> 00:17:26,766
the energy back to the horse.
-LAMBERT: Yes.
374
00:17:26,800 --> 00:17:28,500
Yes, without
that elastic energy,
375
00:17:28,533 --> 00:17:31,766
he'd have to have legs which
were 100 pounds in weight,
376
00:17:31,800 --> 00:17:34,300
just in muscle,
to move his big body.
377
00:17:34,333 --> 00:17:35,933
[ Suspenseful music plays ]
378
00:17:35,966 --> 00:17:38,166
We're dealing here
with a very heavy animal.
379
00:17:38,200 --> 00:17:40,600
1,000 pounds,
1,100, 1,200 pounds.
380
00:17:40,633 --> 00:17:43,066
[ Snorts ]
As that weight descends,
381
00:17:43,100 --> 00:17:46,600
it loads up all the soft
tissues in that limb.
382
00:17:46,633 --> 00:17:48,366
The load is suddenly released
383
00:17:48,400 --> 00:17:52,033
and, then, the leg is simply
propelled out into space,
384
00:17:52,066 --> 00:17:56,633
driven by stored,
elastic energy.
385
00:17:56,666 --> 00:17:58,300
It's happening all
over the horse's body:
386
00:17:58,333 --> 00:18:02,033
along his back,
on his hind legs.
387
00:18:02,066 --> 00:18:04,633
When he gets going,
he's going so fast
388
00:18:04,666 --> 00:18:06,633
and there is
so much stored energy,
389
00:18:06,666 --> 00:18:09,266
it reaches a point
where it's beyond control.
390
00:18:09,300 --> 00:18:17,200
♪♪
391
00:18:17,233 --> 00:18:20,433
♪♪
392
00:18:20,466 --> 00:18:23,533
When you compare him to all
the other mammalian species,
393
00:18:23,566 --> 00:18:26,033
he kind of stands alone,
394
00:18:26,066 --> 00:18:29,266
in terms of his size
and his speed.
395
00:18:29,300 --> 00:18:32,200
He's out there on a little
pinnacle all on his own.
396
00:18:32,233 --> 00:18:41,666
♪♪
397
00:18:41,700 --> 00:18:43,066
THOMPSON: You know,
I've noticed one thing:
398
00:18:43,100 --> 00:18:45,766
When we're listening to the
training horses as they go past,
399
00:18:45,800 --> 00:18:48,733
you hear this enormous
breath, every stride.
400
00:18:48,766 --> 00:18:50,933
It sounds like they're
struggling for breath.
401
00:18:50,966 --> 00:18:54,400
LAMBERT: Their stride is linked,
one-to-one, to their breathing.
402
00:18:54,433 --> 00:18:57,000
When the horse runs,
he must breathe out
403
00:18:57,033 --> 00:18:58,833
when his front legs
hit the ground
404
00:18:58,866 --> 00:19:01,533
and he can only breathe in
when he's up in the air.
405
00:19:01,566 --> 00:19:02,700
[ Suspenseful chord strikes ]
406
00:19:02,733 --> 00:19:06,733
♪♪
407
00:19:06,766 --> 00:19:08,766
When
408
00:19:08,766 --> 00:19:08,800
we
409
00:19:08,800 --> 00:19:09,866
He's not doing that.
410
00:19:09,900 --> 00:19:11,800
His ribs are locked closed
411
00:19:11,833 --> 00:19:14,666
and when he puts his weight
on his front legs like that,
412
00:19:14,700 --> 00:19:17,400
the weight and the momentum
of his viscera
413
00:19:17,433 --> 00:19:19,400
is pushing against the diaphragm
414
00:19:19,433 --> 00:19:22,100
and creating like a big
piston inside his body,
415
00:19:22,133 --> 00:19:24,000
so it pushes the air out
-THOMPSON: I see.
416
00:19:24,033 --> 00:19:25,333
LAMBERT: and then,
when he comes up in the air,
417
00:19:25,366 --> 00:19:28,200
the viscera drop back
and it sucks the air in.
418
00:19:28,233 --> 00:19:31,600
So he's a big piston,
doing this.
419
00:19:31,633 --> 00:19:34,566
THOMPSON: Front legs down,
breathe out.
420
00:19:34,600 --> 00:19:36,566
Up in the air, breathe in.
421
00:19:36,600 --> 00:19:40,200
♪♪
422
00:19:40,233 --> 00:19:42,833
LAMBERT: And that creates
certain limitations.
423
00:19:42,866 --> 00:19:44,700
The faster he goes,
424
00:19:44,733 --> 00:19:46,566
the less time he's got
to breathe.
425
00:19:46,600 --> 00:19:48,133
THOMPSON:
It sounds to me like it's not --
426
00:19:48,166 --> 00:19:50,700
It's not like breath holding,
but it is like suffocation.
427
00:19:50,733 --> 00:19:52,633
LAMBERT: It would be
suffocation for you and I,
428
00:19:52,666 --> 00:19:54,366
but, again,
the horse is different.
429
00:19:54,400 --> 00:19:58,233
His body has adapted to tolerate
this unique situation
430
00:19:58,266 --> 00:19:59,900
that allows him to keep going
431
00:19:59,933 --> 00:20:03,300
far
432
00:20:03,300 --> 00:20:03,333
longer than you or I
could keep going.
433
00:20:03,333 --> 00:20:05,600
♪♪
434
00:20:05,633 --> 00:20:08,900
We don't think of racing,
the first step of a race,
435
00:20:08,933 --> 00:20:13,100
as being the first event
in asphyxiation.
436
00:20:13,133 --> 00:20:17,700
If you or I were to run,
we can't drop our oxygen level.
437
00:20:17,733 --> 00:20:19,966
It's too painful.
438
00:20:20,000 --> 00:20:23,533
A horse, however, doesn't seem
to have those same restraints.
439
00:20:23,566 --> 00:20:26,833
He'll take all the last,
little drop of oxygen
440
00:20:26,866 --> 00:20:31,200
and drain it all out, right
to the very, very last drop.
441
00:20:31,233 --> 00:20:34,466
♪♪
442
00:20:34,500 --> 00:20:36,533
He's at a point,
at the end of a race,
443
00:20:36,566 --> 00:20:40,633
which would render you
or I unconscious.
444
00:20:40,666 --> 00:20:42,966
For some people,
it would almost kill them.
445
00:20:43,000 --> 00:20:45,033
It's extraordinarily severe.
446
00:20:45,066 --> 00:20:47,533
♪♪
447
00:20:47,566 --> 00:20:51,566
THOMPSON: Severe for us,
but not for a horse.
448
00:20:51,600 --> 00:20:53,600
♪♪
449
00:20:53,633 --> 00:20:56,433
That ability,
to run on very little oxygen,
450
00:20:56,466 --> 00:21:00,966
is a gift of evolution
and in the past,
451
00:21:01,000 --> 00:21:04,700
it kept wild horses alive
as they outran their predators.
452
00:21:04,733 --> 00:21:06,566
[ Whinnying ]
453
00:21:06,600 --> 00:21:09,333
All horses can do it.
454
00:21:09,366 --> 00:21:11,866
But some can do it better.
455
00:21:11,900 --> 00:21:14,200
♪♪
456
00:21:14,233 --> 00:21:17,300
Tapeta Farm, in Maryland.
457
00:21:17,333 --> 00:21:22,333
A kind of exclusive, private
school for thoroughbreds
458
00:21:22,366 --> 00:21:27,133
and the home of legendary
trainer Michael Dickinson.
459
00:21:27,166 --> 00:21:30,966
Owners send Michael
their most promising horses
460
00:21:31,000 --> 00:21:34,533
and he tells
461
00:21:34,533 --> 00:21:34,566
them
462
00:21:34,566 --> 00:21:37,533
[
463
00:21:37,533 --> 00:21:37,566
Static crackles
464
00:21:37,566 --> 00:21:39,600
THOMPSON:
He works closely with David,
465
00:21:39,633 --> 00:21:41,733
who's spent a lifetime
building a system
466
00:21:41,766 --> 00:21:45,000
to predict how fast
a horse will run.
467
00:21:45,033 --> 00:21:46,500
[ Neighing in distance ]
468
00:21:46,533 --> 00:21:47,866
[ Whinnying ]
469
00:21:47,900 --> 00:21:49,966
SPEAKER: Easy, girl.
470
00:21:50,000 --> 00:21:51,900
THOMPSON:
Today, David and Michael
471
00:21:51,933 --> 00:21:56,033
are taking three horses
out for testing.
472
00:21:56,066 --> 00:21:57,533
He needs these horses
473
00:21:57,566 --> 00:22:01,633
to sustain 45 miles an hour
474
00:22:01,666 --> 00:22:03,633
for a
475
00:22:03,633 --> 00:22:03,666
full
476
00:22:03,666 --> 00:22:07,466
That's twice as fast
as humans have
477
00:22:07,466 --> 00:22:13,400
ever
478
00:22:13,400 --> 00:22:14,500
DICKINSON: Perfect.
479
00:22:24,500 --> 00:22:26,500
[
480
00:22:26,500 --> 00:22:26,533
Crackle
481
00:22:26,533 --> 00:22:29,400
My one-acre road.
482
00:22:29,433 --> 00:22:31,033
So they all went all right,
didn't they?
483
00:22:31,066 --> 00:22:32,800
[ Grumbling ]
484
00:22:32,833 --> 00:22:34,633
Did nothing wrong, did he?
485
00:22:34,666 --> 00:22:38,200
THOMPSON:
A hard gallop is punishing.
486
00:22:38,233 --> 00:22:42,833
But it turns out, the cost is
even higher than I thought.
487
00:22:42,866 --> 00:22:44,000
[ Neighing ]
488
00:22:44,033 --> 00:22:47,433
LAMBERT: When a horse tries
to run flat out,
489
00:22:47,466 --> 00:22:49,833
he's so big
and he's going so fast,
490
00:22:49,866 --> 00:22:51,533
so there's a price
to pay for that.
491
00:22:51,566 --> 00:22:54,300
The blood gets more and more
acidic all the time.
492
00:22:54,333 --> 00:22:57,100
The carbon dioxide in his blood
builds up and up
493
00:22:57,133 --> 00:22:59,233
and up and up
and gets really high.
494
00:22:59,266 --> 00:23:01,266
THOMPSON: These are all things
that, when we're running
495
00:23:01,300 --> 00:23:03,266
or we're swimming,
feel really painful,
496
00:23:03,300 --> 00:23:04,366
and tell us to stop,
-LAMBERT: Yes,
497
00:23:04,400 --> 00:23:05,533
yes, exactly.
-THOMPSON: like a brake
498
00:23:05,566 --> 00:23:07,033
on our effort.
-LAMBERT: Yes, yes, exactly.
499
00:23:07,066 --> 00:23:09,966
And horses switch
those brakes off.
500
00:23:10,000 --> 00:23:11,233
[ Neighs, snorts ]
501
00:23:11,266 --> 00:23:12,833
It's not altogether surprising
502
00:23:12,866 --> 00:23:14,733
that horses
should be able to do this
503
00:23:14,766 --> 00:23:16,333
because there are other animals.
504
00:23:16,366 --> 00:23:17,466
Seals, when they dive.
505
00:23:17,500 --> 00:23:18,933
He can go down into the water
506
00:23:18,966 --> 00:23:22,866
and swim around for a long time
without having to breathe.
507
00:23:22,900 --> 00:23:24,833
Essentially,
it's the same process.
508
00:23:24,866 --> 00:23:26,800
[ Huffing ]
509
00:23:26,833 --> 00:23:30,866
THOMPSON:
So when
510
00:23:30,866 --> 00:23:30,900
we
511
00:23:30,900 --> 00:23:34,133
something different
happens in a horse.
512
00:23:34,166 --> 00:23:39,133
It begins to metabolize
energy without oxygen.
513
00:23:39,166 --> 00:23:44,833
Human
514
00:23:44,833 --> 00:23:44,866
can
515
00:23:44,866 --> 00:23:50,033
LAMBERT: Some of the byproducts
of this process are euphoric.
516
00:23:50,066 --> 00:23:53,600
He's feeling positive;
he's feeling energized.
517
00:23:53,633 --> 00:23:55,200
Basically, he's high.
518
00:23:55,233 --> 00:23:57,700
So the typical picture
that a person would have
519
00:23:57,733 --> 00:23:59,266
of a thoroughbred racehorse
520
00:23:59,300 --> 00:24:03,433
is that bouncing, lively,
snorting animal.
521
00:24:03,466 --> 00:24:07,066
All of that is coming from this
euphoria they're feeling,
522
00:24:07,100 --> 00:24:09,533
having gone
to a level of fatigue
523
00:24:09,566 --> 00:24:11,533
that we couldn't even tolerate.
524
00:24:11,566 --> 00:24:12,800
THOMPSON:
The physiology of the horse
525
00:24:12,833 --> 00:24:15,166
is set up
to sacrifice everything
526
00:24:15,200 --> 00:24:16,366
for a run.
-LAMBERT: Mm-hmm, absolutely.
527
00:24:16,400 --> 00:24:18,066
THOMPSON:
Can you think of another animal
528
00:24:18,100 --> 00:24:20,200
that would do that for us?
-LAMBERT: No, no, it's amazing.
529
00:24:20,233 --> 00:24:22,400
[ Suspenseful music plays ]
530
00:24:22,433 --> 00:24:25,200
[ Ethereal vocals join ]
531
00:24:25,233 --> 00:24:27,666
♪♪
532
00:24:27,700 --> 00:24:32,566
All those things that we feel
when we're around a racehorse:
533
00:24:32,600 --> 00:24:35,066
courage, admiration.
534
00:24:35,100 --> 00:24:36,866
♪♪
535
00:24:36,900 --> 00:24:40,200
There's something special
about these animals
536
00:24:40,233 --> 00:24:41,666
because they've endured.
537
00:24:41,700 --> 00:24:43,466
♪♪
538
00:24:43,500 --> 00:24:46,200
[ Snuffling ]
539
00:24:46,233 --> 00:24:49,533
♪♪
540
00:24:49,566 --> 00:24:52,966
And there's something
unbelievably trusting
541
00:24:53,000 --> 00:24:57,533
about the way they will respond
to the care of the humans
542
00:24:57,566 --> 00:24:59,533
and come around and do it again.
543
00:24:59,566 --> 00:25:04,833
♪♪
544
00:25:04,866 --> 00:25:06,433
THOMPSON:
Horses take us to speeds
545
00:25:06,466 --> 00:25:09,700
we could
546
00:25:09,700 --> 00:25:09,733
never
547
00:25:09,733 --> 00:25:11,900
[ Triumphant chorale plays ]
548
00:25:11,933 --> 00:25:19,633
Yet, without a human in sight,
horses still love to run.
549
00:25:19,666 --> 00:25:21,200
It's just their nature.
550
00:25:21,233 --> 00:25:22,833
♪♪
551
00:25:22,866 --> 00:25:24,500
[ Neighs ]
552
00:25:24,533 --> 00:25:27,366
So I wonder,
in the horse's past,
553
00:25:27,400 --> 00:25:31,500
was their amazing speed
how they survived?
554
00:25:31,533 --> 00:25:33,033
♪♪
555
00:25:33,066 --> 00:25:37,133
Only one animal can answer
th
556
00:25:37,133 --> 00:25:37,166
at
557
00:25:37,166 --> 00:25:38,400
[ Neighs ]
558
00:25:38,433 --> 00:25:41,333
♪♪
559
00:25:41,366 --> 00:25:44,166
Deep in Mongolia's Gobi Desert,
560
00:25:44,200 --> 00:25:47,133
there's a cousin
of the modern horse,
561
00:25:47,166 --> 00:25:50,366
very different
than the animal
562
00:25:50,366 --> 00:25:50,400
we
563
00:25:50,400 --> 00:25:51,566
We call them
564
00:25:51,600 --> 00:25:53,633
Przewalski horses.
565
00:25:55,200 --> 00:25:57,000
Incredible.
566
00:25:57,033 --> 00:25:58,566
It's gorgeous!
567
00:25:58,600 --> 00:26:01,033
Right down there
is a green valley
568
00:26:01,066 --> 00:26:03,800
running right along the sands
of the Gobi Desert
569
00:26:03,833 --> 00:26:05,766
and, somewhere in that valley
570
00:26:05,800 --> 00:26:09,733
is the closest living
relative of the horse.
571
00:26:09,766 --> 00:26:13,100
This species went extinct
in the wild,
572
00:26:13,133 --> 00:26:14,800
but, now, it's back.
573
00:26:14,833 --> 00:26:17,666
[ Suspenseful music plays ]
574
00:26:17,700 --> 00:26:19,400
♪♪
575
00:26:19,433 --> 00:26:20,533
[ Birds tweeting ]
576
00:26:20,566 --> 00:26:23,200
[ Tender tune plays ]
577
00:26:23,233 --> 00:26:27,666
♪♪
578
00:26:27,700 --> 00:26:30,200
[ Snorts, grumbles ]
579
00:26:30,233 --> 00:26:33,333
♪♪
580
00:26:33,366 --> 00:26:34,466
[ Snorts ]
581
00:26:34,500 --> 00:26:36,966
A stallion group.
582
00:26:37,000 --> 00:26:38,966
[ Whinnying ]
583
00:26:39,000 --> 00:26:41,366
No mares in sight.
584
00:26:41,400 --> 00:26:45,566
For now, this is play-fighting.
585
00:26:45,600 --> 00:26:47,100
Rehearsal.
586
00:26:47,133 --> 00:26:48,200
[ Snorts ]
587
00:26:48,233 --> 00:26:52,333
♪♪
588
00:26:52,366 --> 00:26:55,000
The Przewalski horse is so rare,
589
00:26:55,033 --> 00:26:57,900
I've only ever seen them
in pictures.
590
00:26:57,933 --> 00:27:02,433
At one point, there were
only 12 animals left,
591
00:27:02,466 --> 00:27:04,766
all of
592
00:27:04,766 --> 00:27:04,800
them
593
00:27:04,800 --> 00:27:06,833
[ Whinnies ]
594
00:27:06,866 --> 00:27:11,100
Few people believed these horses
would ever return to the wild.
595
00:27:11,133 --> 00:27:13,666
[ Whinnying ]
596
00:27:13,700 --> 00:27:16,800
They're here today
because of
597
00:27:16,800 --> 00:27:16,833
this
598
00:27:16,833 --> 00:27:20,400
conservation biologist
Claudia Feh.
599
00:27:20,433 --> 00:27:22,600
For decades, Claudia fought
600
00:27:22,633 --> 00:27:26,033
to bring a handful
out of captivity
601
00:27:26,066 --> 00:27:29,933
and, eventually, back
to their native habitat.
602
00:27:29,966 --> 00:27:33,933
Now, there are 67
in her reserve.
603
00:27:33,966 --> 00:27:37,966
Most of
604
00:27:37,966 --> 00:27:38,000
them
605
00:27:38,000 --> 00:27:39,700
[ Whinnying, snorting ]
606
00:27:39,733 --> 00:27:43,366
Claudia's project
is a fragile success.
607
00:27:43,400 --> 00:27:45,766
♪♪
608
00:27:45,800 --> 00:27:49,266
Because the Przewalski lives
in the closest thing there is
609
00:27:49,300 --> 00:27:53,700
to the original home of horses,
I think they can tell me
610
00:27:53,733 --> 00:27:57,000
how horses survived
be
611
00:27:57,000 --> 00:27:57,033
fore
612
00:27:57,033 --> 00:28:01,800
♪♪
613
00:28:01,833 --> 00:28:06,633
At dawn, Claudia takes me out
to find the biggest herd.
614
00:28:06,666 --> 00:28:10,666
To survive, wild horses
need a big territory,
615
00:28:10,700 --> 00:28:16,533
but that means they can be very
hard to find, even for Claudia.
616
00:28:16,566 --> 00:28:20,133
Yep. I don't see a thing.
617
00:28:20,166 --> 00:28:21,866
FEH: I see many things,
but no horse.
618
00:28:21,900 --> 00:28:22,866
[ Laughter ]
619
00:28:22,900 --> 00:28:26,566
-[Speaking local language]
620
00:28:26,600 --> 00:28:27,800
[ Clicking ]
621
00:28:27,833 --> 00:28:32,633
-They're in the sandy part.
Very strange.
622
00:28:32,666 --> 00:28:35,300
Usually, when they are
in unusual places,
623
00:28:35,333 --> 00:28:37,433
something happened in the night.
624
00:28:37,466 --> 00:28:40,766
Either there were stallion
problems, stallion fights,
625
00:28:40,800 --> 00:28:42,300
or wolf attacks.
626
00:28:44,566 --> 00:28:47,000
[ Birds chirping ]
627
00:28:47,033 --> 00:28:52,333
THOMPSON: Just a generation ago,
all Przewalskis lived in zoos.
628
00:28:52,366 --> 00:28:57,500
But out here, nothing is
protecting them from predators.
629
00:28:57,533 --> 00:29:00,333
The Mongolian wolf
is a constant threat.
630
00:29:00,366 --> 00:29:02,600
[ Snorting ]
631
00:29:02,633 --> 00:29:06,600
So is it speed that keeps
these horses alive?
632
00:29:06,633 --> 00:29:09,666
Or is it something else?
633
00:29:09,700 --> 00:29:12,166
FEH: I choose the animals
in such a way
634
00:29:12,200 --> 00:29:13,966
that they would be compatible
635
00:29:14,000 --> 00:29:17,466
because I really hoped that
they would form a herd again.
636
00:29:17,500 --> 00:29:21,533
The big herds are much more
efficient against predators.
637
00:29:21,566 --> 00:29:22,600
[ Whinnying ]
638
00:29:22,633 --> 00:29:24,566
Horses' typical predators
are wolves.
639
00:29:24,600 --> 00:29:26,166
They hunt in packs.
640
00:29:26,200 --> 00:29:27,666
I've seen wolf attacks.
641
00:29:27,700 --> 00:29:32,266
The whole herd gathered together
and the stallions attacked.
642
00:29:32,300 --> 00:29:33,433
THOMPSON:
The stallions
643
00:29:33,433 --> 00:29:33,466
attacked?
644
00:29:33,466 --> 00:29:35,066
FEH: Attacked.
They attacked; tried to bite
645
00:29:35,100 --> 00:29:37,033
and tried to kick them
with their forelegs.
646
00:29:37,066 --> 00:29:40,100
So you have cooperative
predators and cooperative prey.
647
00:29:40,133 --> 00:29:41,833
THOMPSON: So the fact
that they're being predated
648
00:29:41,866 --> 00:29:46,900
by groups of wolves has forced
ho
649
00:29:46,900 --> 00:29:46,933
rses
650
00:29:46,933 --> 00:29:49,933
FEH: They do have a sort of
real cooperation.
651
00:29:49,966 --> 00:29:52,333
They know what task sharing is
652
00:29:52,366 --> 00:29:54,866
in the highly complex
social herds.
653
00:29:54,900 --> 00:29:56,433
[ Snorting ]
654
00:29:56,466 --> 00:29:58,566
[ Poignant tune plays ]
655
00:29:58,600 --> 00:30:02,000
THOMPSON:
But not all herds are the same.
656
00:30:02,033 --> 00:30:03,866
There are bachelor groups,
657
00:30:03,900 --> 00:30:08,000
a collection of stallions
without mates;
658
00:30:08,033 --> 00:30:09,966
and there are family groups,
659
00:30:10,000 --> 00:30:13,266
mares and foals,
with a single stallion.
660
00:30:13,300 --> 00:30:16,266
♪♪
661
00:30:16,300 --> 00:30:19,633
The bonding behavior
is constant.
662
00:30:19,666 --> 00:30:21,766
Mutual grooming.
663
00:30:21,800 --> 00:30:24,666
Subtle hierarchy displays.
664
00:30:24,700 --> 00:30:26,800
And, sometimes, not so subtle.
665
00:30:26,833 --> 00:30:28,266
[ Whinnying ]
666
00:30:28,300 --> 00:30:30,666
♪♪
667
00:30:30,700 --> 00:30:33,566
The horses are
constantly negotiating
668
00:30:33,600 --> 00:30:35,866
for a rung on the ladder.
669
00:30:35,900 --> 00:30:38,733
Each horse has its place.
670
00:30:38,766 --> 00:30:41,633
Hierarchy gives
the herd strength
671
00:30:41,666 --> 00:30:45,733
and ensures only the fittest
stallions get to mate.
672
00:30:45,766 --> 00:30:47,500
♪♪
673
00:30:47,533 --> 00:30:49,533
But I'm surprised to learn
674
00:30:49,566 --> 00:30:54,400
it isn't just the toughest
stallions who rise to the top.
675
00:30:54,433 --> 00:30:57,666
FEH: The dominance hierarchy
in horses is not based on size.
676
00:30:57,700 --> 00:30:59,500
It's not based
on physical strength.
677
00:30:59,533 --> 00:31:00,966
It's mental strength.
678
00:31:01,000 --> 00:31:02,733
It's personality.
679
00:31:02,766 --> 00:31:04,000
THOMPSON:
It's recognizing character.
680
00:31:04,033 --> 00:31:05,666
You recognize the character
of the leader.
681
00:31:05,700 --> 00:31:07,800
FEH: Yeah.
And I think that translates
682
00:31:07,833 --> 00:31:10,733
to the horse-human relationship
because, obviously,
683
00:31:10,766 --> 00:31:13,866
if you ride a horse, I mean,
the horses are, what,
684
00:31:13,900 --> 00:31:16,700
about ten times heavier
or five times heavier?
685
00:31:16,733 --> 00:31:18,566
So how can we ride a horse,
686
00:31:18,600 --> 00:31:21,033
being so much smaller,
and dominate the horse?
687
00:31:21,066 --> 00:31:23,066
It's mental.
688
00:31:23,100 --> 00:31:24,133
[ Snorts ]
689
00:31:24,166 --> 00:31:31,200
♪♪
690
00:31:31,233 --> 00:31:34,733
THOMPSON:
These wild horses
can fight and run.
691
00:31:34,766 --> 00:31:36,400
But, according to Claudia,
692
00:31:36,433 --> 00:31:38,833
that isn't
693
00:31:38,833 --> 00:31:38,866
really
why they're still here.
694
00:31:38,866 --> 00:31:40,866
♪♪
695
00:31:40,900 --> 00:31:44,433
For them, survival is
about working together,
696
00:31:44,466 --> 00:31:48,066
about social life.
697
00:31:48,100 --> 00:31:51,033
Perhaps that's why they
accept Claudia
698
00:31:51,066 --> 00:31:52,966
almost like one of the herd.
699
00:31:53,000 --> 00:31:55,933
♪♪
700
00:31:55,966 --> 00:32:00,366
Left to themselves,
horses build a community.
701
00:32:00,400 --> 00:32:06,166
And, just like for us, it's the
community that protects them.
702
00:32:06,200 --> 00:32:10,066
FEH: I try to help them
have a more natural life.
703
00:32:10,100 --> 00:32:13,166
Horses do not need to be
ridden, you know? [laughs]
704
00:32:13,200 --> 00:32:15,033
They don't need us.
705
00:32:15,066 --> 00:32:18,300
They are independent,
happy to be independent.
706
00:32:18,333 --> 00:32:20,233
♪♪
707
00:32:20,266 --> 00:32:22,133
THOMPSON:
This amazing spectacle,
708
00:32:22,166 --> 00:32:26,133
truly wild horses living
without humans,
709
00:32:26,166 --> 00:32:28,866
it's like a vision
from the past
710
00:32:28,900 --> 00:32:32,400
with a message
about horses today.
711
00:32:32,433 --> 00:32:35,766
It turns out, speed and power
aren't so important
712
00:32:35,800 --> 00:32:39,600
as the quality
they share with
713
00:32:39,600 --> 00:32:39,633
us:
714
00:32:39,633 --> 00:32:41,333
a social mind.
715
00:32:41,366 --> 00:32:44,933
[ Grumbling ]
716
00:32:44,966 --> 00:32:47,966
And, everywhere
we see horses today,
717
00:32:48,000 --> 00:32:51,566
we see that social mind at work.
718
00:32:51,600 --> 00:32:54,333
What the Przewalski horses
do in the wild,
719
00:32:54,366 --> 00:32:57,666
our own horses do in our fields,
720
00:32:57,700 --> 00:33:00,700
if we only let them be
themselves.
721
00:33:06,266 --> 00:33:10,733
It's amazing how eager
horses are to please.
722
00:33:10,766 --> 00:33:15,366
Without a language in common,
that's like mind-reading,
723
00:33:15,400 --> 00:33:17,066
an incredible ability
724
00:33:17,100 --> 00:33:20,233
that English animal
psychologist Karen McComb
725
00:33:20,266 --> 00:33:23,633
is trying to understand.
726
00:33:23,666 --> 00:33:26,466
At a riding stable,
Karen's researchers
727
00:33:26,500 --> 00:33:29,133
are preparing for a day
of horse testing.
728
00:33:29,166 --> 00:33:31,433
For Karen, this is science.
729
00:33:31,466 --> 00:33:34,700
But, for the horses,
[chuckling] it's play.
730
00:33:34,733 --> 00:33:36,366
McCOMB: I mean, anyone
who's worked with horses,
731
00:33:36,400 --> 00:33:38,666
they sense this
enormous personality
732
00:33:38,700 --> 00:33:41,000
that differs from individual
to individual.
733
00:33:41,033 --> 00:33:42,966
No one has looked
at that it an animal.
734
00:33:43,000 --> 00:33:45,733
We're used to the way
humans express emotion,
735
00:33:45,766 --> 00:33:47,233
but, actually, horses
736
00:33:47,266 --> 00:33:51,866
are making these
very subtle facial movements
737
00:33:51,900 --> 00:33:54,666
and have an incredibly
mobile face
738
00:33:54,700 --> 00:33:59,800
and they are expressing
emotions as well.
739
00:33:59,833 --> 00:34:02,466
What we really want to do
740
00:34:02,500 --> 00:34:06,966
is work out what the emotional
life of horses really is,
741
00:34:07,000 --> 00:34:11,400
what their emotional world
is really like.
742
00:34:11,433 --> 00:34:14,100
THOMPSON: To build her library
of horse emotions,
743
00:34:14,133 --> 00:34:17,400
Karen has designed a set
of experiments to trigger them.
744
00:34:17,433 --> 00:34:19,466
[ Whimsical tune plays ]
745
00:34:19,500 --> 00:34:24,933
She plays recorded horse talk
and observes the response.
746
00:34:24,966 --> 00:34:26,133
[ Rumbling nearby ]
747
00:34:26,166 --> 00:34:29,233
Startled and afraid.
[ Cheeping ]
748
00:34:29,266 --> 00:34:31,033
Or curious.
749
00:34:31,066 --> 00:34:33,300
♪♪
750
00:34:33,333 --> 00:34:36,933
She shows them
photographs of horses
751
00:34:36,966 --> 00:34:38,199
and of humans.
752
00:34:38,233 --> 00:34:39,333
[ Neighing nearby ]
753
00:34:39,366 --> 00:34:42,000
♪♪
754
00:34:42,033 --> 00:34:43,600
Toffee likes this one.
755
00:34:43,633 --> 00:34:44,699
[ Neighing nearby ]
756
00:34:44,733 --> 00:34:47,100
[ Snorting ]
757
00:34:47,133 --> 00:34:49,100
This one isn't so popular.
758
00:34:49,133 --> 00:34:53,699
♪♪
759
00:34:53,733 --> 00:34:56,366
Karen's team has made
the surprising discovery
760
00:34:56,400 --> 00:35:02,400
that horses have 17 different
facial expressions.
761
00:35:02,433 --> 00:35:05,500
That's three more
than chimpanzees
762
00:35:05,533 --> 00:35:07,933
and
763
00:35:07,933 --> 00:35:07,966
one
764
00:35:07,966 --> 00:35:09,933
[ Neighing nearby ]
765
00:35:09,966 --> 00:35:12,366
They're subtle.
766
00:35:12,400 --> 00:35:15,366
But, by playing the images back,
Karen can show me
767
00:35:15,400 --> 00:35:19,033
what the untrained eye
might miss.
768
00:35:19,066 --> 00:35:21,100
McCOMB: He's sniffing
the ground, ostensibly,
769
00:35:21,133 --> 00:35:22,566
and you'd think, "Ooh,
he's just sniffing the ground.
770
00:35:22,600 --> 00:35:23,700
Another horse was in here."
771
00:35:23,733 --> 00:35:26,933
But stop. Actually,
that sniffing the ground
772
00:35:26,966 --> 00:35:29,733
again occurs consistently
in response
773
00:35:29,766 --> 00:35:31,933
to something that's a
774
00:35:31,933 --> 00:35:31,966
bit
more negative,
775
00:35:31,966 --> 00:35:34,666
so that he's unsure about this.
776
00:35:34,700 --> 00:35:36,500
Humans do that as well,
you know.
777
00:35:36,533 --> 00:35:38,700
When we're a bit uncomfortable,
we might scratch ourselves
778
00:35:38,733 --> 00:35:40,300
or we glance
away from something.
779
00:35:40,333 --> 00:35:44,500
Just gives us a little bit
of time to adjust.
780
00:35:44,533 --> 00:35:46,266
[ Birds chirping ]
[ Hooves thudding ]
781
00:35:46,300 --> 00:35:47,733
[ Snorting ]
So, now, this'll be interesting.
782
00:35:47,766 --> 00:35:50,733
Look at what part of the face
he's gonna go to.
783
00:35:50,766 --> 00:35:52,666
Look, he's going towards the --
-THOMPSON: Right to the mouth.
784
00:35:52,700 --> 00:35:54,233
McCOMB: The mouth, yeah.
785
00:35:54,266 --> 00:35:56,500
And sometimes they go
right up to the eyes. Yeah.
786
00:35:56,533 --> 00:35:59,766
It's interesting, that sweep
between the mouth and the eyes.
787
00:35:59,800 --> 00:36:01,866
It's almost
as if they understand
788
00:36:01,900 --> 00:36:03,100
that the mouth and the eyes
789
00:36:03,133 --> 00:36:05,566
are the most significant
bit of the human face.
790
00:36:05,600 --> 00:36:10,166
They have enough
understanding to interpret,
791
00:36:10,200 --> 00:36:13,166
not only emotion in the faces
of their own species,
792
00:36:13,200 --> 00:36:15,666
but emotion in
793
00:36:15,666 --> 00:36:15,700
our
794
00:36:15,700 --> 00:36:17,400
[ Birds chirping ]
[ Hooves thudding ]
795
00:36:17,433 --> 00:36:19,500
THOMPSON: It makes sense
that horses use emotions
796
00:36:19,533 --> 00:36:21,666
[ Neighing nearby ]
to communicate with each other.
797
00:36:21,700 --> 00:36:26,933
But what fascinates me is they
can read
798
00:36:26,933 --> 00:36:26,966
our
799
00:36:26,966 --> 00:36:28,200
[ Huffing ]
800
00:36:28,233 --> 00:36:32,000
McCOMB: They're capable
of putting together
801
00:36:32,033 --> 00:36:36,566
the sort of representation
of the person with the emotion.
802
00:36:36,600 --> 00:36:41,833
To me, that shows a very acute
emotional awareness.
803
00:36:41,866 --> 00:36:44,833
I mean, that means, really,
horses are eavesdropping
804
00:36:44,866 --> 00:36:46,900
on the human world
all the time.
805
00:36:46,933 --> 00:36:49,166
[ Neighing nearby ]
[ Snorts ]
806
00:36:49,200 --> 00:36:52,133
THOMPSON:
Horses are mind-readers.
807
00:36:52,166 --> 00:36:54,000
But that's not all.
808
00:36:54,033 --> 00:36:57,866
Karen is also interested
in another quality:
809
00:36:57,900 --> 00:36:59,900
curiosity.
810
00:36:59,933 --> 00:37:01,566
[ Neighing ]
811
00:37:01,600 --> 00:37:02,700
So this is interesting.
812
00:37:02,733 --> 00:37:03,933
Leanne is going to do
813
00:37:03,966 --> 00:37:06,333
what she calls
a novel-object test,
814
00:37:06,366 --> 00:37:08,966
which means walking
into a paddock full of horses
815
00:37:09,000 --> 00:37:11,033
with a great, big beach ball
816
00:37:11,066 --> 00:37:14,300
and leaving it there and
observing what the horses do.
817
00:37:14,333 --> 00:37:15,666
Will they run away from it
818
00:37:15,700 --> 00:37:17,600
or will they come
and investigate it?
819
00:37:17,633 --> 00:37:19,333
-[Neighing]
-[Snorts]
820
00:37:19,366 --> 00:37:22,166
McCOMB: Horses are naturally
very inquisitive.
821
00:37:22,200 --> 00:37:23,600
[ Neighing nearby ]
822
00:37:23,633 --> 00:37:25,766
We're also trying to see where
823
00:37:25,800 --> 00:37:29,733
personality fits
into the whole thing.
824
00:37:29,766 --> 00:37:33,966
For example, how bold
an individual is, versus shy.
825
00:37:35,833 --> 00:37:39,466
It's these differences,
which we also see in humans,
826
00:37:39,500 --> 00:37:45,866
that are going to be the stuff
of their emotional lives, too.
827
00:37:45,900 --> 00:37:47,566
[ Grumbling ]
828
00:37:47,600 --> 00:37:48,966
THOMPSON:
With these tests,
829
00:37:49,000 --> 00:37:55,533
Karen is able to identify
outgoing horses and introverts,
830
00:37:55,566 --> 00:37:58,166
just like we see in humans.
831
00:37:58,200 --> 00:38:02,066
Popular horses like to spend
time with other horses.
832
00:38:02,100 --> 00:38:04,866
But the horse standing
at the edge of the field
833
00:38:04,900 --> 00:38:08,100
might prefer human company.
834
00:38:08,133 --> 00:38:09,533
-[Neighing]
-[Snorts]
835
00:38:09,566 --> 00:38:12,333
McCOMB: Children who don't fit
in will turn to their pets,
836
00:38:12,366 --> 00:38:14,266
but it's quite interesting
[chuckling] that horses
837
00:38:14,300 --> 00:38:17,333
that don't quite fit in
will also turn to humans.
838
00:38:17,366 --> 00:38:18,466
[ Neighing nearby ]
[ Snorting ]
839
00:38:18,500 --> 00:38:20,433
And our tests
are actually showing that.
840
00:38:20,466 --> 00:38:23,366
[ Tender tune plays ]
[ Rumbling ]
841
00:38:23,400 --> 00:38:26,466
THOMPSON: These experiments
paint a picture
842
00:38:26,500 --> 00:38:34,533
of an intensely social, curious,
emotionally alive creature.
843
00:38:34,566 --> 00:38:38,933
If we pay attention,
we can read a horse's mind
844
00:38:38,966 --> 00:38:41,300
and they can read ours.
845
00:38:41,333 --> 00:38:43,066
[ Neigh nearby ]
846
00:38:43,100 --> 00:38:44,466
♪♪
847
00:38:44,500 --> 00:38:46,966
And, wherever we bring
horses to work,
848
00:38:47,000 --> 00:38:49,666
mind-reading is just part
of the job.
849
00:38:49,700 --> 00:38:52,200
[ Lowing ]
850
00:38:52,233 --> 00:38:55,000
On the eastern slopes
of the Rocky Mountains,
851
00:38:55,033 --> 00:39:00,133
horsepower still means
just what it always has.
852
00:39:00,166 --> 00:39:03,700
Working cattle is one
of the most demanding jobs
853
00:39:03,733 --> 00:39:10,433
a human can ask a horse to do,
and that's why cowboys created
854
00:39:10,466 --> 00:39:11,766
the quarter horse...
855
00:39:11,800 --> 00:39:13,100
[ Snorts ]
856
00:39:13,133 --> 00:39:15,000
...a remarkable breed,
857
00:39:15,033 --> 00:39:19,766
combining endurance,
agility,
858
00:39:19,800 --> 00:39:21,633
power...
859
00:39:21,666 --> 00:39:23,400
ANDERSON: Whoa.
-THOMPSON: ...and smarts.
860
00:39:23,433 --> 00:39:24,500
ANDERSON: [Whistles]
861
00:39:27,100 --> 00:39:29,333
[ Birds chirping ]
862
00:39:29,366 --> 00:39:31,733
[ Smooching ]
863
00:39:31,766 --> 00:39:32,866
THOMPSON:
In horse country,
864
00:39:32,900 --> 00:39:36,100
Jimmy Anderson
is a bit of a legend.
865
00:39:36,133 --> 00:39:40,300
They say he can read
a horse's mind.
866
00:39:40,333 --> 00:39:42,833
But maybe it's the
other way around.
867
00:39:42,866 --> 00:39:44,133
[ Snorting ]
868
00:39:44,166 --> 00:39:46,100
Either way, he seems to have
869
00:39:46,133 --> 00:39:48,800
a secret language
with his horse,
870
00:39:48,833 --> 00:39:52,066
a gelding called Maverick.
-ANDERSON: Up. [cluck]
871
00:39:52,100 --> 00:39:54,900
Up. [cluck]
872
00:39:54,933 --> 00:39:56,133
He likes sittin'.
873
00:39:56,166 --> 00:39:58,833
[ Laughing ]
874
00:39:58,866 --> 00:39:59,933
Whoa.
875
00:39:59,966 --> 00:40:02,066
[ Birds chirping ]
876
00:40:02,100 --> 00:40:04,133
THOMPSON: People who are
not working with horses
877
00:40:04,166 --> 00:40:05,533
the way you work with horses,
878
00:40:05,566 --> 00:40:06,733
they're just seeing
the tip of the iceberg.
879
00:40:06,766 --> 00:40:09,100
There's a whole animal
they haven't discovered.
880
00:40:09,133 --> 00:40:10,700
ANDERSON: The person
really doesn't see
881
00:40:10,733 --> 00:40:12,033
and look at that horse.
882
00:40:12,066 --> 00:40:14,400
They just kind a treat it
like a motorbike.
883
00:40:14,433 --> 00:40:16,533
THOMPSON: And a motorbike
is not a smart animal.
884
00:40:16,566 --> 00:40:18,000
[ Laughter ]
Not compared to a horse.
885
00:40:18,033 --> 00:40:19,133
ANDERSON:
Not compared to a horse.
886
00:40:19,166 --> 00:40:20,300
That is so true.
887
00:40:20,333 --> 00:40:21,733
[ Lowing ]
888
00:40:21,766 --> 00:40:25,233
THOMPSON: Cutting calves
is standard ranch work.
889
00:40:25,266 --> 00:40:28,033
But, it
890
00:40:28,033 --> 00:40:28,066
fascinates
891
00:40:28,066 --> 00:40:32,233
In nature, wild horses
were chased by predators.
892
00:40:32,266 --> 00:40:36,300
So how does Jimmy
get Maverick to do
893
00:40:36,300 --> 00:40:36,333
this?
894
00:40:36,333 --> 00:40:40,933
It's the behavior
of a sheepdog, not a horse.
895
00:40:40,966 --> 00:40:44,400
When you're cutting, are you
giving Maverick directions
896
00:40:44,433 --> 00:40:45,666
to go right and left?
897
00:40:45,700 --> 00:40:47,066
ANDERSON:
It's happenin' too fast.
898
00:40:47,100 --> 00:40:49,133
If you're trying
to give them directions
899
00:40:49,166 --> 00:40:51,833
to go right and left,
most times, you're late.
900
00:40:51,866 --> 00:40:55,266
When I drop my hand,
that's signaling to him,
901
00:40:55,300 --> 00:40:58,066
"Okay, now it's your turn,
your responsibility.
902
00:40:58,100 --> 00:40:59,966
Take over."
-THOMPSON: Takes over.
903
00:41:00,000 --> 00:41:01,200
ANDERSON: Yeah.
-THOMPSON: Knows what to do.
904
00:41:01,233 --> 00:41:02,400
ANDERSON: Knows what to do.
They just look
905
00:41:02,433 --> 00:41:04,033
after that. Yeah.
-THOMPSON: That's incredible.
906
00:41:04,066 --> 00:41:05,933
ANDERSON: That's kind of
the exciting part,
907
00:41:05,966 --> 00:41:08,933
is how smart these horses are.
908
00:41:08,966 --> 00:41:11,333
You can really train
a horse to do anything.
909
00:41:11,366 --> 00:41:13,300
We could train it to fetch,
if we wanted.
910
00:41:13,333 --> 00:41:17,700
THOMPSON: Horses are so smart,
they can learn to do things
911
00:41:17,733 --> 00:41:21,300
that go
912
00:41:21,300 --> 00:41:21,333
completely
against their nature.
913
00:41:21,333 --> 00:41:23,533
But it takes training.
914
00:41:23,566 --> 00:41:26,933
We used to call it
breaking a horse.
915
00:41:26,966 --> 00:41:28,866
But that isn't it at all.
916
00:41:28,900 --> 00:41:31,533
♪♪
917
00:41:31,566 --> 00:41:32,966
ANDERSON: In the past,
when we've talked
918
00:41:33,000 --> 00:41:36,366
about colt starting and colt
breaking, that's what it was.
919
00:41:36,400 --> 00:41:39,233
They wanted to get a job done,
920
00:41:39,266 --> 00:41:43,333
kinda just force everything
onto this horse.
921
00:41:43,366 --> 00:41:46,466
They expected the horse to jump;
they expected the horse to rear,
922
00:41:46,500 --> 00:41:48,433
they expected 'im to buck,
923
00:41:48,466 --> 00:41:51,233
because there was
no relationship.
924
00:41:51,266 --> 00:41:53,066
Talk about breaking the spirit.
925
00:41:53,100 --> 00:41:55,233
And, now,
it's almost the opposite
926
00:41:55,266 --> 00:41:56,633
of what we're wanting now.
927
00:41:56,666 --> 00:42:02,600
We want that spirit; we want
that heart; we want that desire.
928
00:42:02,633 --> 00:42:04,566
THOMPSON:
I'm here to see Jimmy start
929
00:42:04,600 --> 00:42:06,933
a two-year-old colt
called Shiver.
930
00:42:06,966 --> 00:42:10,833
Until now, Shiver's only seen
humans from a distance.
931
00:42:10,866 --> 00:42:12,266
He's never been ridden.
932
00:42:12,300 --> 00:42:13,733
[ Neighing ]
933
00:42:13,766 --> 00:42:15,100
[ Huffs ]
934
00:42:15,133 --> 00:42:16,333
[ Neighing ]
935
00:42:16,366 --> 00:42:18,133
ANDERSON:
Now, what I'm gonna do is
936
00:42:18,166 --> 00:42:22,633
start workin' myself
a
937
00:42:22,633 --> 00:42:22,666
little
938
00:42:22,666 --> 00:42:24,200
THOMPSON:
I've come for the week,
939
00:42:24,233 --> 00:42:27,966
but Jimmy figures he'll get
a saddle on sooner than that.
940
00:42:28,000 --> 00:42:31,066
[ Neighing ]
941
00:42:31,100 --> 00:42:33,566
That seems a little
optimistic to me.
942
00:42:33,600 --> 00:42:35,466
[ Neighing ]
943
00:42:35,500 --> 00:42:36,566
ANDERSON: And so...
944
00:42:39,233 --> 00:42:40,300
he's tryin'...
945
00:42:40,333 --> 00:42:44,200
[ Snorts, huffing ]
946
00:42:44,233 --> 00:42:46,700
There.
947
00:42:46,733 --> 00:42:49,566
The-e-re we go.
948
00:42:49,600 --> 00:42:51,700
You'll hear me talk
about two eyes.
949
00:42:51,733 --> 00:42:53,500
THOMPSON: Mm-hmm.
-ANDERSON: When that horse
950
00:42:53,533 --> 00:42:56,266
can start to give me
them two eyes,
951
00:42:56,300 --> 00:42:59,200
he also gives me his focus.
952
00:42:59,233 --> 00:43:00,466
[ Huffs ]
953
00:43:07,033 --> 00:43:09,066
[ Snorts ]
Ni-i-i-ce.
954
00:43:11,966 --> 00:43:14,733
He
955
00:43:14,733 --> 00:43:14,766
really
956
00:43:14,766 --> 00:43:16,733
THOMPSON: If he can't take that
touch, he won't take a saddle.
957
00:43:16,766 --> 00:43:18,733
ANDERSON: [chuckling] No.
We're getting him used
958
00:43:18,766 --> 00:43:20,433
to an external pressure.
959
00:43:20,466 --> 00:43:23,100
Tap this hind end
960
00:43:23,133 --> 00:43:27,833
and have him yield
that hind end.
961
00:43:27,866 --> 00:43:29,933
Nice.
962
00:43:29,966 --> 00:43:32,100
Tap this hind end...
963
00:43:32,133 --> 00:43:35,866
[ Huffing ]
964
00:43:35,900 --> 00:43:37,233
The-e-re.
965
00:43:37,266 --> 00:43:38,366
Nice.
966
00:43:40,666 --> 00:43:42,666
I'm gonna come up here,
967
00:43:42,700 --> 00:43:44,766
see if I can't get
some pettin' in there.
968
00:43:44,800 --> 00:43:46,533
[ Huffing ]
969
00:43:46,566 --> 00:43:47,633
[ Grumbles ]
970
00:43:49,666 --> 00:43:52,766
THOMPSON: Jimmy knows horses
are prey animals.
971
00:43:52,800 --> 00:43:54,866
Dogs are always looking
for supper,
972
00:43:54,900 --> 00:43:58,033
but horses are looking
for
973
00:43:58,033 --> 00:43:58,066
safety.
974
00:43:58,066 --> 00:44:01,266
And that need
is Jimmy's magic key.
975
00:44:01,300 --> 00:44:02,533
[ Grumbling ]
976
00:44:02,566 --> 00:44:05,133
ANDERSON: When I look
at horses that are spooky,
977
00:44:05,166 --> 00:44:08,633
if he's away from the herd,
he doesn't have a leader.
978
00:44:08,666 --> 00:44:11,266
When you get that trust
and that confidence
979
00:44:11,300 --> 00:44:12,933
and that relationship
with a horse,
980
00:44:12,966 --> 00:44:16,333
I mean, really, sky is the
limit of what you can do.
981
00:44:16,366 --> 00:44:18,633
[ Huffing ]
982
00:44:22,333 --> 00:44:26,133
When I start a colt,
it's never a competition.
983
00:44:26,166 --> 00:44:30,100
It's more of a partnership
and a relationship
984
00:44:30,133 --> 00:44:34,133
that we can start
to get workin' together.
985
00:44:34,166 --> 00:44:37,133
I'm gonna come up here and,
now, with the rope,
986
00:44:37,166 --> 00:44:39,833
I'm gonna move
them hindquarters.
987
00:44:39,866 --> 00:44:41,333
Move those hindquarters.
988
00:44:41,366 --> 00:44:43,266
Move those
hindquarters.
989
00:44:43,300 --> 00:44:44,433
Nice.
990
00:44:46,900 --> 00:44:48,100
[ Snorts ]
991
00:44:48,133 --> 00:44:52,300
[ Grumbling ]
992
00:44:52,333 --> 00:44:55,000
THOMPSON: How do you know how
far to take it and when to stop?
993
00:44:55,033 --> 00:44:56,466
ANDERSON:
You know, we're lookin'
994
00:44:56,500 --> 00:44:58,800
at the expression in his face,
995
00:44:58,833 --> 00:45:01,366
lookin' at that tightness
through his neck.
996
00:45:01,400 --> 00:45:03,733
He's tellin' me,
"Jim, you can do more,"
997
00:45:03,766 --> 00:45:06,033
or "Jim,
I'm gettin' too worried.
998
00:45:06,066 --> 00:45:07,166
I can't take this."
999
00:45:07,200 --> 00:45:08,633
So that's where I'm just
1000
00:45:08,666 --> 00:45:14,433
readin'
1001
00:45:14,433 --> 00:45:14,466
him
1002
00:45:14,466 --> 00:45:17,300
And so, when I can go
through this
1003
00:45:17,333 --> 00:45:21,833
with him not gettin' worried
and just no big deal,
1004
00:45:21,866 --> 00:45:24,766
that's when it's gonna tell me
he's ready to saddle.
1005
00:45:24,800 --> 00:45:26,600
[ Neighing ]
1006
00:45:26,633 --> 00:45:28,866
[ Grumbling ]
1007
00:45:30,633 --> 00:45:32,600
Now, he's gettin' good
with the tarp.
1008
00:45:42,366 --> 00:45:43,833
Ni-i-i-ce.
1009
00:45:43,866 --> 00:45:45,366
Good boy.
1010
00:45:45,400 --> 00:45:47,300
THOMPSON: So what are you
doin' now, Jim?
1011
00:45:47,333 --> 00:45:49,833
ANDERSON: I'm just
bringin' Maverick in.
1012
00:45:49,866 --> 00:45:53,100
Maverick's gonna give him
a little bit of confidence
1013
00:45:53,133 --> 00:45:54,966
as I put the saddle on.
1014
00:46:00,333 --> 00:46:02,000
THOMPSON:
And that's the first time?
1015
00:46:02,033 --> 00:46:04,133
ANDERSON: That's the first
time, right there, yeah.
1016
00:46:11,000 --> 00:46:12,366
[ Neighing ]
1017
00:46:12,400 --> 00:46:15,433
[ Grumbling ]
1018
00:46:15,466 --> 00:46:17,500
[ Whinnying ]
1019
00:46:17,533 --> 00:46:18,533
[ Grumbles ]
1020
00:46:18,566 --> 00:46:21,133
And that is totally
okay with me.
1021
00:46:21,166 --> 00:46:22,966
He kinda got worried.
1022
00:46:23,000 --> 00:46:25,266
He had to deal with it
that way a little bit.
1023
00:46:25,300 --> 00:46:27,333
That's totally okay.
1024
00:46:27,366 --> 00:46:30,066
Yeah.
There, he moved his feet,
1025
00:46:30,100 --> 00:46:34,166
kinda tightened up,
but come back.
1026
00:46:34,200 --> 00:46:37,100
And so, the next thing
that I'm workin' here --
1027
00:46:37,133 --> 00:46:43,266
see, every time he stops, I want
him to start to look for me.
1028
00:46:53,600 --> 00:46:55,300
The-e-e-re we go.
1029
00:46:55,333 --> 00:46:56,466
Ni-i-i-ce.
1030
00:46:56,500 --> 00:46:58,766
[ Birds squawking ]
1031
00:46:58,800 --> 00:47:01,566
That's what I wanna see.
1032
00:47:01,600 --> 00:47:05,066
That focus, that lookin'
to me for that answer.
1033
00:47:05,100 --> 00:47:06,400
THOMPSON: [chuckling] He's come
a long way since morning.
1034
00:47:06,433 --> 00:47:07,733
ANDERSON:
He's come a long ways, yeah.
1035
00:47:12,100 --> 00:47:13,633
[ Snuffling ]
1036
00:47:13,666 --> 00:47:15,266
[ Birds chirping ]
1037
00:47:20,000 --> 00:47:25,000
I need to get him used to me
jumpin' up and down here 'cause,
1038
00:47:25,033 --> 00:47:26,333
if I wanna get on him...
1039
00:47:29,300 --> 00:47:30,533
[ Grumbling ]
1040
00:47:33,033 --> 00:47:35,366
[ Grumbling ]
1041
00:47:35,400 --> 00:47:37,266
Really, really good
changes here.
1042
00:47:49,900 --> 00:47:52,266
[ Clucking ]
1043
00:47:52,300 --> 00:47:53,666
[ Grumbles ]
1044
00:47:53,700 --> 00:47:56,666
[ Poignant tune plays ]
1045
00:47:56,700 --> 00:48:03,266
♪♪
1046
00:48:03,300 --> 00:48:08,066
♪♪
1047
00:48:08,100 --> 00:48:09,466
THOMPSON: Just amazing.
1048
00:48:09,500 --> 00:48:11,166
Completely calm.
1049
00:48:11,200 --> 00:48:14,566
♪♪
1050
00:48:14,600 --> 00:48:16,500
ANDERSON: [Clucking]
1051
00:48:16,533 --> 00:48:17,833
♪♪
1052
00:48:17,866 --> 00:48:19,966
My partner's helpin' me.
1053
00:48:20,000 --> 00:48:21,766
THOMPSON: [Laughing]
1054
00:48:21,800 --> 00:48:28,033
ANDERSON:
[ Smooching ]
1055
00:48:28,066 --> 00:48:29,100
Yeah.
1056
00:48:29,133 --> 00:48:30,733
[ Smooching ]
1057
00:48:30,766 --> 00:48:34,000
♪♪
1058
00:48:34,033 --> 00:48:36,533
[ Clucking ]
-[Snorts]
1059
00:48:36,566 --> 00:48:39,700
[ Smooching ]
1060
00:48:39,733 --> 00:48:40,900
♪♪
1061
00:48:40,933 --> 00:48:42,600
[ Smooching ]
-[Whinnies]
1062
00:48:42,633 --> 00:48:46,400
[ Smooching ]
1063
00:48:46,433 --> 00:48:56,366
♪♪
1064
00:48:56,400 --> 00:48:58,566
Nice.
1065
00:48:58,600 --> 00:48:59,633
THOMPSON:
That was just superb.
1066
00:48:59,666 --> 00:49:01,133
That was incredible to watch.
1067
00:49:01,166 --> 00:49:02,900
ANDERSON:
Good boy. You know,
1068
00:49:02,933 --> 00:49:06,133
couldn't have asked
for a better first day.
1069
00:49:06,166 --> 00:49:08,866
Good boy.
1070
00:49:08,900 --> 00:49:10,166
And here he is.
1071
00:49:10,200 --> 00:49:11,833
For the first time.
1072
00:49:11,866 --> 00:49:13,333
THOMPSON: He's your best
friend now, isn't he?
1073
00:49:13,366 --> 00:49:14,900
ANDERSON: Yeah.
1074
00:49:14,933 --> 00:49:19,000
When I take the halter off,
what I want to see is
1075
00:49:19,033 --> 00:49:21,533
him not leavin' me.
1076
00:49:21,566 --> 00:49:23,400
[ Birds chirping ]
1077
00:49:23,433 --> 00:49:25,300
[ Whistles ]
1078
00:49:25,333 --> 00:49:28,966
His focus isn't there.
1079
00:49:29,000 --> 00:49:30,200
[ Grumbling ]
Ni-i-i-ce.
1080
00:49:30,233 --> 00:49:33,200
Perfect. See? And I wanna
be hooked up to these,
1081
00:49:33,233 --> 00:49:34,933
not through a rope
-THOMPSON: Yeah.
1082
00:49:34,966 --> 00:49:37,300
ANDERSON: or through
manhandlin' or forcin',
1083
00:49:37,333 --> 00:49:38,733
through their mind.
1084
00:49:38,766 --> 00:49:41,933
♪♪
1085
00:49:41,966 --> 00:49:43,433
THOMPSON:
In a single morning,
1086
00:49:43,466 --> 00:49:46,866
Jimmy and Shiver have found
a common language.
1087
00:49:46,900 --> 00:49:48,800
♪♪
1088
00:49:48,833 --> 00:49:51,800
It's truly incredible,
what we can do together
1089
00:49:51,833 --> 00:49:54,466
when a horse agrees
to trust in us.
1090
00:49:54,500 --> 00:49:57,366
♪♪
1091
00:49:57,400 --> 00:50:00,666
After all,
we sit on a horse's back
1092
00:50:00,700 --> 00:50:04,833
exactly where a wolf
would've leapt up to attack.
1093
00:50:04,866 --> 00:50:09,200
It shows us:
horses judge humans
1094
00:50:09,233 --> 00:50:12,366
and some of us pass the test.
1095
00:50:12,400 --> 00:50:15,633
ANDERSON:
Horses are really amazing,
1096
00:50:15,666 --> 00:50:17,966
[ Lowing ]
how much they will be a partner
1097
00:50:18,000 --> 00:50:21,033
and they try a crazy amount
1098
00:50:21,066 --> 00:50:24,966
and I wanna try that same
amount back for them.
1099
00:50:25,000 --> 00:50:26,100
[ Lowing ]
1100
00:50:26,133 --> 00:50:28,466
When they give me
that much trust,
1101
00:50:28,500 --> 00:50:32,466
I can never let anythin'
bad happen to 'em.
1102
00:50:32,500 --> 00:50:35,900
When I lay Maverick
down in the arena,
1103
00:50:35,933 --> 00:50:39,566
he has given me his trust.
1104
00:50:39,600 --> 00:50:43,000
Maverick knows I won't let
somethin' happen to him.
1105
00:50:43,033 --> 00:50:51,766
♪♪
1106
00:50:51,800 --> 00:50:53,833
THOMPSON: The more time
I spend with horses,
1107
00:50:53,866 --> 00:50:57,900
the more I understand
what a gift they are.
1108
00:50:57,933 --> 00:51:01,800
A body loaded with the most
amazing physical attributes,
1109
00:51:01,833 --> 00:51:06,866
yet, also, a mind
that connects with our own.
1110
00:51:06,900 --> 00:51:11,966
That's
1111
00:51:11,966 --> 00:51:12,000
what makes
our partnership unique.
1112
00:51:12,000 --> 00:51:15,100
But I wonder:
How did it all begin?
1113
00:51:16,633 --> 00:51:19,333
[ Suspenseful music plays ]
1114
00:51:19,366 --> 00:51:21,200
In the final episode,
1115
00:51:21,233 --> 00:51:24,733
travel back in time
and discover how horses
1116
00:51:24,766 --> 00:51:26,400
sparked the beginning
1117
00:51:26,433 --> 00:51:27,600
of art.
1118
00:51:27,633 --> 00:51:29,966
FLOSS: These guys had
a spiritual connection
1119
00:51:30,000 --> 00:51:31,533
with these animals.
1120
00:51:31,566 --> 00:51:32,833
Join me on a journey
1121
00:51:32,866 --> 00:51:36,866
into the incredible world
of horses today
1122
00:51:36,900 --> 00:51:40,500
and be amazed
at their diversity.
1123
00:51:40,533 --> 00:51:41,966
♪♪
1124
00:51:42,000 --> 00:51:45,300
[ Neighing ]
From the coldest place on Earth
1125
00:51:45,333 --> 00:51:47,800
to the hottest,
1126
00:51:47,833 --> 00:51:51,066
and even
to an uninhabited island
1127
00:51:51,100 --> 00:51:54,000
where horses rely
for survival
1128
00:51:54,033 --> 00:51:55,600
on seals.
1129
00:51:55,633 --> 00:51:57,666
[ Poignant tune plays ]
And learn why,
1130
00:51:57,700 --> 00:51:59,233
no matter what,
1131
00:51:59,266 --> 00:52:02,033
horses are here to stay.
1132
00:52:02,066 --> 00:52:04,000
RED CROW:
We are still on our horses,
1133
00:52:04,033 --> 00:52:05,900
just like our forefathers.
1134
00:52:05,933 --> 00:52:07,266
It's our way of life.
1135
00:52:07,300 --> 00:52:09,166
[ Music climbs ]
1136
00:52:12,700 --> 00:52:14,200
THOMPSON:
From their incredible
power and speed
1137
00:52:14,233 --> 00:52:16,533
to their intelligent
and social nature,
1138
00:52:16,566 --> 00:52:20,166
it's no surprise we built
our world with horsepower.
1139
00:52:20,200 --> 00:52:22,166
ANDERSON: When you get
that trust with a horse,
1140
00:52:22,200 --> 00:52:24,500
sky is the limit
of what you can do.
1141
00:52:24,533 --> 00:52:27,200
THOMPSON: But how did we shape
this remarkable creature
1142
00:52:27,233 --> 00:52:30,766
into the 350 breeds
that exist today?
1143
00:52:30,800 --> 00:52:34,200
Let's take a global tour
of the most fascinating members
1144
00:52:34,233 --> 00:52:36,133
of the modern horse club.
1145
00:52:36,166 --> 00:52:40,100
[ Suspenseful music plays ]
1146
00:52:46,166 --> 00:52:56,066
♪♪
1147
00:52:56,100 --> 00:53:06,133
♪♪
1148
00:53:06,166 --> 00:53:13,700
♪♪
1149
00:53:13,733 --> 00:53:17,133
To learn more about what you've
se
1150
00:53:17,133 --> 00:53:17,166
en on this "Nature" program,
1151
00:53:17,166 --> 00:53:19,466
visit pbs.org.
1152
00:53:19,500 --> 00:53:28,033
♪♪
81028
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