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A lost world of
giants, 60 million years old.
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Ruled by a slithery monarch
of unbelievable size.
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It sounds like fantasy, but it's not.
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This world was once here.
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Among these seams of coal
lies the evidence.
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This is
a once-in-a-lifetime discovery,
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really, this is just amazing.
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A treasure trove of fossils.
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One, a terrifying stealth killer,
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straight from our darkest nightmares.
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You make a discovery
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and you know that
it's gonna be something
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that everyone knows about.
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Narrator: It's the biggest
of its kind ever to live.
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Man: We're absolutely ecstatic,
we were giddy schoolboys.
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Narrator: This mighty predator
dominated then disappeared.
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Now, science is bringing it back.
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Wow.
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This is Titanoboa.
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65 and a half million years ago,
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a giant meteorite hits the earth
near Mexico.
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The rule of the dinosaur is over.
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The next 10 million years is
one of the most mysterious times
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in earth's history,
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and in one part,
the South American tropics,
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the mystery is total.
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There is only silence,
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until something remarkable happens.
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This is Cerrejon.
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A grand canyon carved by vast machines,
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gouging out 35 million tons
of coal every year.
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A hole in the earth the size
of 8,000 football fields.
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But this mine is not just
spitting out coal,
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it's also an accidental time machine.
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Every layer is a slice
of earth's history.
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In December 2002, a sharp-eyed
Colombian geology student,
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Fabiany Herrera, spotted
something completely unexpected
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at the mine...
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A fossilized leaf.
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It was the first tiny step in an
unparalleled scientific quest.
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Over the coming decade,
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it would reveal a vanished world
and a lost time.
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Herrera showed the fossilized
leaf to his mentor,
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an expert in prehistoric plants.
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Carlos Jaramillo: He brought
the leaf back to the lab
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and I realized the amazing opportunity
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and potential that this mine had.
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Narrator: Carlos Jaramillo
eventually got permission
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for a team of scientists
to dig at Cerrejon.
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The results were extraordinary.
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The single leaf fossil was only
the first clue to the lost world
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that emerged after the dinosaurs.
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They found the very first bean plants
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and fossils showing an explosion
of plant families,
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like the banana,
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the palm,
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the avocado,
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and even chocolate.
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It all added up to a huge
and stunning discovery.
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Jaramillo: The coal itself
is a chunk of rainforest
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that is preserved back in time.
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Fabiany Herrera: We believe that
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this might represent
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the birth of modern rainforest
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in South America.
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Narrator: 60 million years ago,
this massive bowl of coal
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contained the first recorded
tropical rainforest.
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This is the new living earth
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that emerges after the meteorite
destroys the old.
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Amid the coal dust, it seems
almost impossible to imagine it.
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Jaramillo:
Today it's a very dry place,
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but 60 million years ago,
this was a tropical rainforest
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with tree birds meandering,
big trees and mist.
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But this is much more
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than a story of trees and leaves.
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Jaramillo: We want to study
the whole ecosystem,
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the geology, the plants,
and the animals.
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It is those animals
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that will capture
the world's imagination,
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identified from an amazing
variety of clues...
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Ribs, shells, and vertebrae,
or backbones.
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It will need a specialist in
animal fossils to decode them.
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In 2004, Jon Bloch, an expert
in fossil vertebrates
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traveled from the university
of Florida to Cerrejon
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for the first time.
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He was astonished.
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A whole new ancient world
of vertebrates,
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animals with backbones that
would dominate earth's future,
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was opening up.
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The most exciting
observation was that
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these were bones from
the tropics of South America,
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from that 10 million years
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following the extinction
of the dinosaurs.
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And why that was so exciting is
that we had no record whatsoever
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of vertebrates on land
during that time period.
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We just had no idea what was here.
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Narrator: Cerrejon was becoming
a laboratory
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for investigating
the lost tropical world.
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In 2005, Carlos Jaramillo joined
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the Smithsonian tropical
research institute.
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It was able to guarantee
this huge endeavor
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the long-term backing
it would now need.
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Jaramillo:
Every time we come here,
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we are mesmerized with
all the new things we found
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that we never expected.
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Narrator: Jon Bloch and his
colleagues begin their search.
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It is soon apparent that the
lost world teems with animals.
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Bloch: Initially,
when we started collecting,
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especially on this slope,
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there was so much bone
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that we picked up a lot
of things all at once,
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it was almost like a salvage
kind of operation.
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Narrator: It's also clear
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that two creatures particularly thrive.
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Bloch: This is a piece of
a very large turtle here,
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and then right next to it,
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there's a backbone of
a very large crocodile,
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beautifully preserved.
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Narrator: The sheer scale
of the fossils is amazing.
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Turtles with shells
the size of pool tables,
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snub nosed crocodiles as long as an SUV,
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and species never seen before.
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Bloch: We would pick up things
very quickly, wrap them up,
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so we could clean them back
at the lab and then study them.
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The turtle
and crocodile fossils
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were temporarily loaned
to the research team
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by the Colombian geological survey.
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Then, one night at the lab
at the university of Florida,
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something strange begins to happen.
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Grad student Alex Hastings
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is sorting yet another box
of fossils from Cerrejon.
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Alex Hastings:
I received the fossils
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and was just unpacking them
late one night.
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All of these were
labeled -croc vert.-
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I get out several crocodile vertebrae.
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A couple of vertebrae did not match,
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they were very, very distinct,
very large,
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and I didn't know
exactly what they were.
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Other than that I knew
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that they were definitely not
of crocodiles.
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Narrator: Another grad student,
Jason Bourne,
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a reptile specialist,
is also working late that night.
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Jason Bourne: So I was just
coming back from class
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and Alex was there,
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and he just had a couple of
things he wasn't sure about,
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and so he said, do you have
any ideas what this might be?
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And I picked it up
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and I just kind of stared at it
for a second.
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It was, you know, crushed pretty flat.
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My eyes got really wide
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and I was like, oh, this is
a, you know, giant snake.
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Hastings: Once we compared
that to modern snakes,
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it became incredibly clear
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that they were definitely
snake vertebrae,
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and we were able to figure out
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that we really had,
not only a large snake,
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but the largest snake that
has been known to science.
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Narrator:
It hardly seems possible.
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The vertebrae indicates a snake
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vastly bigger than any snake today.
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So big that it stretches
the entire length of the lab.
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Bourne: Probably this big.
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Hastings: That's probably
a bit smaller.
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We were absolutely ecstatic,
it was a very exciting moment,
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and for that evening, we were
the only people in the world
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that knew about it at the time.
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It wasn't until the next day
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we started bringing in
Jon and everybody else.
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So for one evening,
we're the only people that knew
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we had this enormous, massive snake,
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and we were very, very excited.
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Incredible though it is,
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it seems two grad students
have on their hands
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one of the biggest discoveries
of the century.
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It's like finding t-Rex.
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The next morning,
a third person, Jon Bloch,
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is let in on the secret.
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Bourne: I just couldn't wait
to get in the next day
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and tell Jon what happened.
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You know, I just remember saying,
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do you know you have
the largest snake in the world?
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And his face just kind of dropped,
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and, you know, he was just like,
are you kidding me?
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I think, probably,
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my reaction was pretty similar
to the reaction
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that maybe my seven-year-old son
would have experienced.
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And just complete excitement and awe
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that such a huge snake exists.
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It is a sublime moment
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that most scientists can only dream of.
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For a few precious hours,
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the two young students and
their teacher hold a secret
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that will open up a whole
new chapter in natural history.
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Bloch: During the course
of your career,
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you don't have a lot of moments
where you make a discovery,
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and you look at it, and you just
sort of get that feeling,
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you know that you're really
not gonna be the only person
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that knows about this thing,
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that it's gonna be something
that everyone knows about.
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The extraordinary
night in the lab
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will propel Jon Bloch into
an age-old human obsession.
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Snakes have always been symbols
of threat and danger.
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From the serpent in the garden of eden,
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to the mythical dragon
snakes gave rise to,
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they are the beasts humans
must fight or be destroyed by.
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An animal that strikes awe and terror
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into cultures from ancient China
to the new world.
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There are frighteningly good
reasons for these fears.
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Around a million people are
bitten by venomous snakes
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each year.
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Up to 90,000 die.
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Tens of millions are gripped
by snake phobia.
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The giant discovered in
Cerrejon, though long extinct,
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will add an unimaginable
new dimension to snake lore.
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But the single vertebra
is only the start.
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The team's investigation
will take them away
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from the long dead,
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into the living world of large snakes.
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From there, they will enter
a time tunnel
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and confront a creature
unlike any other.
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The scourge of the lost
rainforests of South America.
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A predator squeezing the life
out of its victims.
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The snake to beat all snakes.
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Man: It tagged you good,
look at that, Jesus.
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Narrator: It was
the fossils unearthed
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in the vast coalmine of Cerrejon
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that opened up the lost world
of 60 million years ago.
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But these ancient bones
give only a glimpse
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of the creatures that live there.
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To see the past more clearly,
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the team turn their attention
to the animals of today.
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After the students'
discovery in the lab,
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the next stop for
the investigating scientists
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is the collection of
modern snake skeletons
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at the Florida museum
of natural history.
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Its biggest specimen
is from an anaconda,
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the heaviest snake living today.
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How will its backbone compare
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with the giant vertebra from Cerrejon?
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Bloch: We went and got a
skeleton of a 17-foot anaconda,
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which was the largest anaconda
that we had in our collections.
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That's a big snake.
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The largest piece of
the backbone of that snake,
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and it was about this big,
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compared to the vertebra
that we've just unwrapped,
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which was about this big.
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So, you know, I thought,
well, my goodness,
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if this is 17 feet,
then this thing must be 80 feet.
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Narrator: The team
is finding itself
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swept up in an enduring pursuit...
251
00:13:54,060 --> 00:13:57,260
The quest for the world's longest snake.
252
00:13:58,827 --> 00:14:02,694
One pioneer was the Victorian
explorer Percy Fawcett
253
00:14:02,727 --> 00:14:05,760
who claimed to have seen
a 60-foot-long anaconda
254
00:14:05,794 --> 00:14:08,727
in the South American rainforest.
255
00:14:08,760 --> 00:14:10,694
But he went missing in the forest
256
00:14:10,727 --> 00:14:13,560
before supplying any evidence
257
00:14:13,594 --> 00:14:16,027
and was never seen again.
258
00:14:16,060 --> 00:14:20,027
In 1912, the former U.S.
President Theodore Roosevelt
259
00:14:20,060 --> 00:14:23,694
offered a prize at the Bronx zoo
of $1,000
260
00:14:23,727 --> 00:14:25,660
to anyone who could produce a snake
261
00:14:25,694 --> 00:14:28,060
of more than 30 feet in length.
262
00:14:29,727 --> 00:14:32,327
Explorers and collectors
scoured the globe,
263
00:14:32,360 --> 00:14:34,227
from Peru to the Congo.
264
00:14:34,260 --> 00:14:38,794
But a 30-foot snake remained
tantalizingly elusive.
265
00:14:40,060 --> 00:14:43,127
A species from Asia,
the reticulated python,
266
00:14:43,160 --> 00:14:44,660
has come the closest,
267
00:14:44,694 --> 00:14:49,127
measuring up to a staggering
28 and a half feet.
268
00:14:49,160 --> 00:14:51,894
But not one snake has yet
been brought forward
269
00:14:51,927 --> 00:14:55,560
that can claim Roosevelt's
century-old prize.
270
00:14:59,794 --> 00:15:02,294
Zoos across the world
remain on the lookout
271
00:15:02,327 --> 00:15:04,960
for the longest snake.
272
00:15:04,994 --> 00:15:08,594
One of the oldest is the
zoological society of London,
273
00:15:08,627 --> 00:15:12,127
where Ian Stephen is
the resident snake expert.
274
00:15:13,660 --> 00:15:15,827
Ian Stephen: Whether it's
the biggest dinosaur on earth,
275
00:15:15,860 --> 00:15:17,360
you know, the blue whale,
276
00:15:17,394 --> 00:15:20,627
people are always fascinated
by big animals.
277
00:15:20,660 --> 00:15:23,694
It's almost every
reptile curator's dream,
278
00:15:23,727 --> 00:15:25,794
I think, sort of secretly
279
00:15:25,827 --> 00:15:29,794
to have the biggest snake in the world.
280
00:15:29,827 --> 00:15:31,894
Narrator: But the size
of these modern snakes
281
00:15:31,927 --> 00:15:33,160
is nothing compared with that
282
00:15:33,194 --> 00:15:36,560
suggested by the find at Cerrejon.
283
00:15:42,827 --> 00:15:45,994
After the discovery
of the giant vertebra,
284
00:15:46,027 --> 00:15:50,660
Jon Bloch contacted Jason head,
an expert on extinct snakes,
285
00:15:50,694 --> 00:15:52,760
at the university of Nebraska.
286
00:15:52,794 --> 00:15:55,660
We were unwrapping fossils
from Cerrejon this morning,
287
00:15:55,694 --> 00:15:56,660
we found something really incredible
288
00:15:56,694 --> 00:15:58,160
that I wanted to show you.
289
00:15:58,194 --> 00:16:00,894
By now, more and more
huge vertebrae
290
00:16:00,927 --> 00:16:03,560
were being unearthed at Cerrejon.
291
00:16:03,594 --> 00:16:06,694
Jon began by showing
one of the smaller examples.
292
00:16:06,727 --> 00:16:09,760
I think it's
a snake fossil, but it's big.
293
00:16:09,794 --> 00:16:11,360
Yeah, sure.
294
00:16:11,394 --> 00:16:15,827
Jason still vividly
remembers that video conference.
295
00:16:15,860 --> 00:16:17,894
Jason head: Jon's students
had actually realized
296
00:16:17,927 --> 00:16:19,927
that they had a very large snake fossil.
297
00:16:19,960 --> 00:16:21,927
And Jon brought it to the video camera,
298
00:16:21,960 --> 00:16:23,694
and he held it up and said,
299
00:16:23,727 --> 00:16:26,594
look at this, I think this must
be the world's biggest snake.
300
00:16:26,627 --> 00:16:28,694
That's definitely a snake,
301
00:16:28,727 --> 00:16:31,594
and that specimen is about
the same size as Gigantophis,
302
00:16:31,627 --> 00:16:35,227
so that's the same size
as the largest known snake.
303
00:16:35,260 --> 00:16:38,794
Narrator: Gigantophis, which
Jason had recently measured,
304
00:16:38,827 --> 00:16:43,327
was the largest snake so far
known to have lived on earth.
305
00:16:43,360 --> 00:16:45,127
36 million years ago,
306
00:16:45,160 --> 00:16:48,294
it preyed on primitive elephants
in the swamps of Egypt
307
00:16:48,327 --> 00:16:52,194
and measured a colossal 33 feet.
308
00:16:52,227 --> 00:16:56,560
Jason's world record holder
was now under challenge.
309
00:16:56,594 --> 00:16:58,627
Head: The vertebra he showed me
was about the same size,
310
00:16:58,660 --> 00:17:00,160
and I was kind of, you know,
311
00:17:00,194 --> 00:17:03,994
it's big, but maybe it's not that big.
312
00:17:04,027 --> 00:17:05,794
Bloch:
Okay, yeah, we have others.
313
00:17:05,827 --> 00:17:07,560
I mean, he was impressed,
it was a big snake,
314
00:17:07,594 --> 00:17:10,227
but he wasn't really
taken aback, he'd seen bigger.
315
00:17:10,260 --> 00:17:13,094
So, at that point, I felt like
I hadn't really given him
316
00:17:13,127 --> 00:17:14,594
the correct impression.
317
00:17:14,627 --> 00:17:16,760
Narrator: Jon had a larger
vertebra from Cerrejon
318
00:17:16,794 --> 00:17:18,594
up his sleeve.
319
00:17:18,627 --> 00:17:20,794
Head: And he said, well,
hold on, I'll be right back.
320
00:17:20,827 --> 00:17:22,094
Bloch: So I went running
out of the room
321
00:17:22,127 --> 00:17:23,694
and grabbed the biggest one I could find
322
00:17:23,727 --> 00:17:24,927
that we had unwrapped.
323
00:17:24,960 --> 00:17:28,294
Head: He came back
with a much bigger vertebra.
324
00:17:28,327 --> 00:17:30,660
Bloch: This is bigger.
325
00:17:30,694 --> 00:17:34,227
Head: Seeing him holding this,
very excited, in his hand.
326
00:17:34,260 --> 00:17:36,894
That is the world's largest snake, Jon.
327
00:17:36,927 --> 00:17:38,227
I was absolutely surprised.
328
00:17:38,260 --> 00:17:40,894
That's the largest snake I've ever seen.
329
00:17:40,927 --> 00:17:43,260
That's got to be the largest
snake in the world, Jon.
330
00:17:43,294 --> 00:17:45,327
If you would have told me that
there were snakes that big
331
00:17:45,360 --> 00:17:47,760
in the fossil record, I probably
wouldn't have believed you.
332
00:17:47,794 --> 00:17:49,760
Bloch:
That was impressive enough.
333
00:17:49,794 --> 00:17:52,594
He said, Jon, look at
your office door.
334
00:17:52,627 --> 00:17:54,127
And I looked over to the office door,
335
00:17:54,160 --> 00:17:57,327
and he said, if that snake were
to come into your office,
336
00:17:57,360 --> 00:17:59,860
it would have to squeeze
through the doorway
337
00:17:59,894 --> 00:18:02,060
as it was slithering in.
338
00:18:02,094 --> 00:18:06,660
And that was enough to set
the impression completely.
339
00:18:06,694 --> 00:18:08,094
Narrator:
By the end of the call,
340
00:18:08,127 --> 00:18:12,294
Jason head was convinced
Jon had found something special.
341
00:18:12,327 --> 00:18:14,927
Head: Most of the other
fossil snakes we find
342
00:18:14,960 --> 00:18:17,660
are kind of in the vicinity
of the largest estimates
343
00:18:17,694 --> 00:18:19,094
of the biggest giant snakes today,
344
00:18:19,127 --> 00:18:22,560
which has kind of suggested,
at least to me, previously,
345
00:18:22,594 --> 00:18:25,794
that maybe that was roughly the
maximum size snakes could get,
346
00:18:25,827 --> 00:18:27,960
either physiologically or ecologically.
347
00:18:27,994 --> 00:18:30,194
I'm getting a flight ticket and
heading down there right now.
348
00:18:30,227 --> 00:18:31,227
Bloch: Okay.
349
00:18:36,594 --> 00:18:38,060
Narrator: At the Florida lab,
350
00:18:38,094 --> 00:18:39,994
Jason's first line of investigation
351
00:18:40,027 --> 00:18:43,060
is into the kind of snake this is.
352
00:18:44,627 --> 00:18:46,927
Is it related to a type already known,
353
00:18:46,960 --> 00:18:50,660
or something completely new?
354
00:18:50,694 --> 00:18:52,127
With only vertebrae to go on,
355
00:18:52,160 --> 00:18:57,694
this is a complex task
requiring an expert eye.
356
00:18:57,727 --> 00:18:58,760
Head: In the case of snakes,
357
00:18:58,794 --> 00:19:00,027
figuring out who's related to who
358
00:19:00,060 --> 00:19:02,127
would be easy if we had complete skulls.
359
00:19:02,160 --> 00:19:03,694
But most of the fossil record of snakes
360
00:19:03,727 --> 00:19:06,060
consist of isolated backbones.
361
00:19:06,094 --> 00:19:08,660
Narrator: But snake skulls
are extremely fragile
362
00:19:08,694 --> 00:19:10,827
and hard to find.
363
00:19:10,860 --> 00:19:12,827
So Jason has to begin a process
364
00:19:12,860 --> 00:19:15,960
of comparing these isolated backbones
365
00:19:15,994 --> 00:19:19,127
with a huge range of snakes
in his database,
366
00:19:19,160 --> 00:19:22,327
both living and dead.
367
00:19:22,360 --> 00:19:24,560
Head: In order to figure out
who this animal's related to
368
00:19:24,594 --> 00:19:27,694
and who it was, what we need
to do is make comparisons
369
00:19:27,727 --> 00:19:29,760
between subtle changes in the anatomy,
370
00:19:29,794 --> 00:19:33,094
between this animal and
other living and fossil snakes.
371
00:19:34,594 --> 00:19:37,227
Narrator: All snakes have
one thing in common...
372
00:19:37,260 --> 00:19:39,927
They are a type of lizard
that lost their legs
373
00:19:39,960 --> 00:19:42,327
as they developed elongated bodies.
374
00:19:43,760 --> 00:19:46,560
They may look similar
to the untrained eye,
375
00:19:46,594 --> 00:19:50,260
but their evolution is highly varied.
376
00:19:50,294 --> 00:19:53,794
Somewhere about
100 million years ago or so,
377
00:19:53,827 --> 00:19:56,227
snakes evolved this elongate, limbless,
378
00:19:56,260 --> 00:19:58,194
or limb-reduced body plan.
379
00:19:58,227 --> 00:20:01,060
And in that body plan or that body form,
380
00:20:01,094 --> 00:20:02,694
they immediately started inhabiting
381
00:20:02,727 --> 00:20:03,994
different environments.
382
00:20:04,027 --> 00:20:06,127
They were burrowers, they were swimmers,
383
00:20:06,160 --> 00:20:08,894
and the body itself,
the actual vertebral column
384
00:20:08,927 --> 00:20:10,627
and the ribs and that muscular system,
385
00:20:10,660 --> 00:20:12,694
that becomes the method of locomotion,
386
00:20:12,727 --> 00:20:14,760
that becomes their
means of moving around,
387
00:20:14,794 --> 00:20:17,160
that snakelike motion that you see.
388
00:20:17,194 --> 00:20:19,594
It seems almost
counterintuitive
389
00:20:19,627 --> 00:20:21,227
that an animal should lose its limbs.
390
00:20:21,260 --> 00:20:23,227
And yet the snakes
are still with us today
391
00:20:23,260 --> 00:20:26,694
and are actually one of the most
successful groups of vertebrates
392
00:20:26,727 --> 00:20:28,560
on the planet.
393
00:20:28,594 --> 00:20:33,660
Narrator: Over their 100 million
years, snakes have diversified.
394
00:20:33,694 --> 00:20:36,627
Some families have developed
super-toxic venom
395
00:20:36,660 --> 00:20:42,127
with specialized fangs, like
cobras, vipers and rattlesnakes.
396
00:20:42,160 --> 00:20:44,060
Others don't use venom at all,
397
00:20:44,094 --> 00:20:47,294
but kill by crushing the life
out of their prey...
398
00:20:47,327 --> 00:20:48,927
The constrictors.
399
00:20:50,927 --> 00:20:53,894
From his initial comparison
of the Cerrejon vertebra
400
00:20:53,927 --> 00:20:56,360
with the backbones of modern snakes,
401
00:20:56,394 --> 00:21:00,794
Jason soon concludes that it is
similar to boas and pythons,
402
00:21:00,827 --> 00:21:03,294
both constrictors.
403
00:21:03,327 --> 00:21:04,660
The group of snakes
that it belongs to
404
00:21:04,694 --> 00:21:06,294
are absolutely not venomous.
405
00:21:06,327 --> 00:21:08,127
They, of course, acquire their
prey in a very different way,
406
00:21:08,160 --> 00:21:10,760
and that's the kind of iconic
constricting behavior
407
00:21:10,794 --> 00:21:13,160
that everyone thinks about
when they think about boas
408
00:21:13,194 --> 00:21:16,127
and pythons and anacondas
and things like that.
409
00:21:16,160 --> 00:21:18,227
To advance
their investigation,
410
00:21:18,260 --> 00:21:19,227
the scientists must enter
411
00:21:19,260 --> 00:21:22,260
the extraordinary and
highly successful world
412
00:21:22,294 --> 00:21:24,627
of the big constrictors.
413
00:21:24,660 --> 00:21:29,627
How do they hunt, kill,
breed, and adapt?
414
00:21:29,660 --> 00:21:32,694
There's one surprising place
to find out,
415
00:21:32,727 --> 00:21:35,027
just 500 Miles from the lab.
416
00:21:40,227 --> 00:21:42,827
Jon Bloch heads for
the Florida everglades,
417
00:21:42,860 --> 00:21:46,694
now home to one of the biggest
snakes in the world.
418
00:21:46,727 --> 00:21:49,694
It can grow to over 20 feet in length,
419
00:21:49,727 --> 00:21:52,227
and it's not native to Florida.
420
00:21:52,260 --> 00:21:55,694
It's the Burmese python.
421
00:21:55,727 --> 00:21:59,660
Jon's guide is a local
reptile expert, Shawn Heflick.
422
00:22:11,827 --> 00:22:15,094
Before they go hunting,
Jon shows Shawn the vertebra
423
00:22:15,127 --> 00:22:17,660
from the giant snake from Cerrejon.
424
00:22:17,694 --> 00:22:18,760
We've got a snake
for comparison.
425
00:22:18,794 --> 00:22:20,660
Shawn Heflick:
Uh-oh, you got goodies?
426
00:22:20,694 --> 00:22:22,860
Bloch: Yeah.
427
00:22:22,894 --> 00:22:27,994
What we've got here is
the cast of the original bone.
428
00:22:28,027 --> 00:22:29,360
This is one of the vertebra.
429
00:22:29,394 --> 00:22:30,294
Heflick: Wait a minute, what?
430
00:22:30,327 --> 00:22:31,794
Yeah.
431
00:22:31,827 --> 00:22:34,360
So this is a vertebra,
so one piece of the backbone.
432
00:22:34,394 --> 00:22:35,927
Heflick: Get out of here.
433
00:22:35,960 --> 00:22:37,627
Wow.
434
00:22:37,660 --> 00:22:39,227
That is impressive.
435
00:22:40,694 --> 00:22:42,760
This is a modern-sized
whale vertebra.
436
00:22:42,794 --> 00:22:44,560
That's insane.
437
00:22:44,594 --> 00:22:47,727
Bloch: And this isn't even the
largest bone that we've found.
438
00:22:47,760 --> 00:22:49,194
I'm almost speechless,
439
00:22:49,227 --> 00:22:54,727
because that is truly
a monstrosity among snakes.
440
00:22:54,760 --> 00:23:00,760
It's hard for me to conceive
an animal of that mass and size
441
00:23:00,794 --> 00:23:02,894
having lived on this planet.
442
00:23:12,160 --> 00:23:13,960
The snakes
in today's everglades
443
00:23:13,994 --> 00:23:18,127
may be 60 million years away
from the lost world of Cerrejon,
444
00:23:18,160 --> 00:23:21,894
but now, as then,
they're certainly thriving.
445
00:23:24,860 --> 00:23:26,994
Seen a lot of pythons
in this area right here,
446
00:23:27,027 --> 00:23:28,360
it's got everything they need...
447
00:23:28,394 --> 00:23:32,094
A lot of cover, access to water,
a lot of prey.
448
00:23:40,860 --> 00:23:43,360
Narrator: But there's
a curious twist.
449
00:23:43,394 --> 00:23:44,994
The Burmese python belongs
450
00:23:45,027 --> 00:23:47,860
in the rainforests of southeast Asia.
451
00:23:47,894 --> 00:23:50,127
It shouldn't be here at all.
452
00:23:53,694 --> 00:23:57,660
In 1992, hurricane Andrew hit Florida.
453
00:23:59,360 --> 00:24:02,060
Among its casualties was
an animal warehouse
454
00:24:02,094 --> 00:24:04,594
containing hundreds of Burmese pythons,
455
00:24:04,627 --> 00:24:06,694
destined for the pet trade.
456
00:24:08,160 --> 00:24:11,227
Around 900 escaped.
457
00:24:11,260 --> 00:24:14,627
They flourished in
the hot, humid conditions,
458
00:24:14,660 --> 00:24:17,727
devouring everything in their path.
459
00:24:19,127 --> 00:24:20,827
Over the past 19 years,
460
00:24:20,860 --> 00:24:22,994
the number of pythons on the loose
461
00:24:23,027 --> 00:24:26,060
is thought to have risen to 10,000.
462
00:24:29,160 --> 00:24:32,560
Shawn Heflick is licensed by the
state of Florida to catch them,
463
00:24:32,594 --> 00:24:35,994
in an effort to keep
the population under control.
464
00:24:37,794 --> 00:24:40,627
Nothing is safe from
these rampant pythons...
465
00:24:40,660 --> 00:24:44,527
Birds, mammals, reptiles
are all easy victims.
466
00:24:45,994 --> 00:24:50,927
Even the top predators, the
alligators, are potential prey.
467
00:24:56,094 --> 00:24:58,160
It may be a long distant echo
468
00:24:58,194 --> 00:25:02,094
of how Jon's giant snake
once terrorized Cerrejon.
469
00:25:03,627 --> 00:25:05,660
There are other snakes here, too,
470
00:25:05,694 --> 00:25:08,827
like the eastern diamondback,
a venomous rattlesnake.
471
00:25:10,594 --> 00:25:14,227
Be aware, you're in eastern
diamondback territory as well.
472
00:25:14,260 --> 00:25:15,527
Okay.
473
00:25:16,927 --> 00:25:18,827
We've got some
saw grass here, so watch...
474
00:25:18,860 --> 00:25:20,260
I see that.
475
00:25:20,294 --> 00:25:23,060
...Watch your face
as you pile through.
476
00:25:23,094 --> 00:25:26,694
See, there's a lot of
really good cover in here.
477
00:25:26,727 --> 00:25:29,160
They're so hard to spot.
478
00:25:29,194 --> 00:25:32,560
Narrator: Snakes are the snipers
of the animal world.
479
00:25:33,660 --> 00:25:37,194
First, find a good place for an ambush.
480
00:25:38,694 --> 00:25:41,694
Modern or ancient, small or giant,
481
00:25:41,727 --> 00:25:44,127
every snake needs somewhere to hide.
482
00:25:44,160 --> 00:25:45,994
Every once in a while
I hear a little scurrying,
483
00:25:46,027 --> 00:25:47,227
but I'm assuming those are just rodents.
484
00:25:47,260 --> 00:25:48,694
Yeah, a lot of rodents
in here,
485
00:25:48,727 --> 00:25:51,927
all these rock piles and all this cover.
486
00:25:51,960 --> 00:25:54,560
There could be a 16-foot Burm
right there,
487
00:25:54,594 --> 00:25:56,794
unless it moves or you just
happen to, you know,
488
00:25:56,827 --> 00:25:58,927
catch a little piece of it,
489
00:25:58,960 --> 00:26:00,660
you'd never know it was there.
490
00:26:00,694 --> 00:26:01,860
Sure.
491
00:26:01,894 --> 00:26:04,694
It's a needle in the haystack.
492
00:26:04,727 --> 00:26:06,360
Camouflage and concealment
493
00:26:06,394 --> 00:26:09,560
are part of the snake's arsenal.
494
00:26:09,594 --> 00:26:11,594
Their prey may move faster,
495
00:26:11,627 --> 00:26:16,727
so they must catch it by the
speed of their initial strike.
496
00:26:16,760 --> 00:26:18,894
Jon, look over here.
497
00:26:18,927 --> 00:26:21,627
Yeah, that's python, no doubt.
498
00:26:21,660 --> 00:26:23,694
Over there.
499
00:26:23,727 --> 00:26:25,594
That's a good sized snake.
500
00:26:25,627 --> 00:26:28,027
This is not the whole thing,
but it's definitely a snake.
501
00:26:28,060 --> 00:26:29,260
That's got me excited now.
502
00:26:29,294 --> 00:26:31,627
Oh, now you believe me
that there are pythons here.
503
00:26:31,660 --> 00:26:33,627
They're here. Okay.
504
00:26:33,660 --> 00:26:34,994
See if we can find a live one.
505
00:26:35,027 --> 00:26:36,294
Alright.
506
00:26:36,327 --> 00:26:37,860
Heflick: I see, there's
the fossil hunter in you,
507
00:26:37,894 --> 00:26:39,694
you're still looking for...
508
00:26:39,727 --> 00:26:41,660
Bloch: Yeah, this is the kind of
thing I'm used to looking for.
509
00:26:41,694 --> 00:26:43,927
You're still looking
for the dead stuff.
510
00:26:43,960 --> 00:26:46,294
I can appreciate that.
511
00:26:46,327 --> 00:26:47,927
Like a modern snake,
512
00:26:47,960 --> 00:26:51,660
the Cerrejon monster's forked
tongue is a crucial organ,
513
00:26:51,694 --> 00:26:54,360
sensing the world around it.
514
00:26:54,394 --> 00:26:57,360
The fork in the tongue makes
its surface area bigger
515
00:26:57,394 --> 00:26:59,294
and more sensitive.
516
00:26:59,327 --> 00:27:02,360
It may help snakes to detect
the direction of prey
517
00:27:02,394 --> 00:27:04,094
and other items of interest,
518
00:27:04,127 --> 00:27:08,960
all the while staying hidden
in the undergrowth.
519
00:27:11,194 --> 00:27:13,194
Oh, something?
520
00:27:13,227 --> 00:27:14,660
Like I say,
521
00:27:14,694 --> 00:27:17,794
you'd almost have to step on it,
you know.
522
00:27:17,827 --> 00:27:19,227
Something moved in there.
523
00:27:19,260 --> 00:27:20,094
You hear something?
524
00:27:20,127 --> 00:27:21,594
I did.
525
00:27:23,960 --> 00:27:26,927
Heflick: Might be easier to find
a 58-million-year-old animal,
526
00:27:26,960 --> 00:27:28,894
doesn't run from you, huh?
527
00:27:41,894 --> 00:27:43,994
The search continues.
528
00:27:45,394 --> 00:27:49,694
The everglades national park
is 2,300 square Miles
529
00:27:49,727 --> 00:27:52,160
of land and water.
530
00:27:53,660 --> 00:27:55,260
The Burmese pythons have penetrated
531
00:27:55,294 --> 00:28:00,794
deep into these wetlands, by
swimming from island to island.
532
00:28:03,660 --> 00:28:05,694
But the snake hunters' persistence
533
00:28:05,727 --> 00:28:08,660
will shortly pay off.
534
00:28:08,694 --> 00:28:11,860
Jon Bloch is about
to see first-hand
535
00:28:11,894 --> 00:28:15,827
what constrictors are capable of.
536
00:28:15,860 --> 00:28:17,094
Heflick: Oh, right there,
Jon, Jon, Jon.
537
00:28:17,127 --> 00:28:20,594
Bloch: Oh, God,
look at that's huge.
538
00:28:20,627 --> 00:28:23,194
That's a big snake.
539
00:28:23,227 --> 00:28:24,827
So you're gonna grab it by the tail?
540
00:28:24,860 --> 00:28:27,727
Heflick: Yeah, we'll walk
her back and, oh, yeah.
541
00:28:27,760 --> 00:28:28,594
Uh-huh.
542
00:28:28,627 --> 00:28:29,960
Not happy.
543
00:28:29,994 --> 00:28:30,960
Now that's the difference between these.
544
00:28:30,994 --> 00:28:32,627
This thing's strong.
545
00:28:32,660 --> 00:28:34,560
That's the difference between
these in captivity
546
00:28:34,594 --> 00:28:39,960
and these wild caught ones,
is not happy right now.
547
00:28:41,760 --> 00:28:44,694
So the whole game on this,
so now she knows...
548
00:28:44,727 --> 00:28:46,560
Oh, that's a bad area.
549
00:28:46,594 --> 00:28:48,827
Narrator: Though the python
kills by constriction
550
00:28:48,860 --> 00:28:50,827
and does not inject poison,
551
00:28:50,860 --> 00:28:53,194
it still has a ferocious bite
to grab its prey.
552
00:28:53,227 --> 00:28:55,694
That's a younger
Burmese python.
553
00:28:55,727 --> 00:28:57,694
It'll be a second, she'll
realize you're back there, huh?
554
00:28:57,727 --> 00:28:58,760
She wants to
go, go, go,
555
00:28:58,794 --> 00:28:59,960
and she's being restrained.
556
00:28:59,994 --> 00:29:01,894
Once the prey
is in range,
557
00:29:01,927 --> 00:29:05,560
the snake launches itself
like a heat-seeking missile.
558
00:29:06,627 --> 00:29:07,760
Oh, yeah.
559
00:29:07,794 --> 00:29:09,260
There we go. Nice.
560
00:29:09,294 --> 00:29:10,594
Okay, sweetie.
561
00:29:10,627 --> 00:29:11,560
Okay.
562
00:29:11,594 --> 00:29:13,260
Switch hands. Yeah.
563
00:29:13,294 --> 00:29:14,827
Beautiful.
564
00:29:14,860 --> 00:29:16,794
Heflick: She's not happy.
No, she's not.
565
00:29:16,827 --> 00:29:17,894
Heflick: Not happy,
but if you can do me a favor
566
00:29:17,927 --> 00:29:18,960
and grab that tail?
567
00:29:18,994 --> 00:29:19,927
Yeah.
568
00:29:19,960 --> 00:29:21,327
She's gonna musk.
569
00:29:21,360 --> 00:29:23,060
No, keep it back,
keep it back, keep it back.
570
00:29:24,294 --> 00:29:27,194
That's what they do
as a defense mechanism.
571
00:29:27,227 --> 00:29:30,627
Narrator: The snake sees Jon
as a predator.
572
00:29:30,660 --> 00:29:32,094
Its instinctive reaction
573
00:29:32,127 --> 00:29:35,294
is to squirt the contents
of its bowels all over him.
574
00:29:35,327 --> 00:29:37,194
Heflick: They're going to musk,
they're gonna, you know,
575
00:29:37,227 --> 00:29:39,627
evacuate their bowels
on a would-be predator.
576
00:29:39,660 --> 00:29:40,960
Okay.
577
00:29:40,994 --> 00:29:42,627
Heflick: And that's enough
to get anybody to say,
578
00:29:42,660 --> 00:29:44,294
I don't know if I want to
eat this thing or not.
579
00:29:44,327 --> 00:29:45,660
But let's unwind her.
580
00:29:45,694 --> 00:29:46,694
Okay.
581
00:29:46,727 --> 00:29:48,594
Just here.
582
00:29:48,627 --> 00:29:49,560
Yeah.
583
00:29:49,594 --> 00:29:50,860
Oh, she's heavy.
584
00:29:50,894 --> 00:29:52,027
She's powerful,
isn't she?
585
00:29:52,060 --> 00:29:53,694
Yeah.
586
00:29:53,727 --> 00:29:55,760
She also has recurved teeth.
587
00:29:55,794 --> 00:29:57,360
Oh, did she get you?
588
00:29:57,394 --> 00:29:59,827
Yeah, just one little
Nick and you see, you know,
589
00:29:59,860 --> 00:30:03,160
the teeth are pretty sharp,
like hypodermic needles.
590
00:30:03,194 --> 00:30:05,827
The ancient snake's
recurved teeth
591
00:30:05,860 --> 00:30:08,094
lock on to its prey.
592
00:30:08,127 --> 00:30:11,760
The more the prey struggles,
the deeper the teeth go.
593
00:30:11,794 --> 00:30:14,227
Stephen: The bite is really
just to secure the prey.
594
00:30:14,260 --> 00:30:18,294
So the snake is gonna obviously strike,
595
00:30:18,327 --> 00:30:19,894
bite the prey item,
596
00:30:19,927 --> 00:30:23,960
and literally get it secure
in its jaws and then constrict.
597
00:30:23,994 --> 00:30:26,860
60 million years ago,
as today,
598
00:30:26,894 --> 00:30:29,960
the constrictor throws
coils around its victim
599
00:30:29,994 --> 00:30:31,527
and crushes it.
600
00:30:32,827 --> 00:30:35,627
Constriction is unique to snakes.
601
00:30:36,860 --> 00:30:39,360
Jon's getting his first view of it.
602
00:30:39,394 --> 00:30:40,560
She's got a pretty good
lock on my arm.
603
00:30:40,594 --> 00:30:41,827
Bloch: Yeah, I can see that.
604
00:30:41,860 --> 00:30:42,994
We need to
get her in a bag,
605
00:30:43,027 --> 00:30:44,694
I think my hand might be turning purple.
606
00:30:44,727 --> 00:30:45,960
When you're
handling snakes,
607
00:30:45,994 --> 00:30:49,060
sometimes they then start
constricting your arm.
608
00:30:49,094 --> 00:30:51,660
And it's when they do that,
that you actually realize,
609
00:30:51,694 --> 00:30:54,660
wow, these snakes are just
incredibly powerful,
610
00:30:54,694 --> 00:30:56,627
a muscle machine, if you like.
611
00:30:58,594 --> 00:30:59,927
A constrictor this size
612
00:30:59,960 --> 00:31:04,594
can exert a pressure of
30 pounds per square inch.
613
00:31:04,627 --> 00:31:05,860
On the human chest,
614
00:31:05,894 --> 00:31:09,594
it's equivalent to being crushed
by a small car.
615
00:31:11,627 --> 00:31:12,860
As snakes get bigger,
616
00:31:12,894 --> 00:31:15,560
their muscles generate ever more force,
617
00:31:15,594 --> 00:31:18,960
and they can throw more loops
around their prey.
618
00:31:18,994 --> 00:31:20,560
Heflick: If I was a prey item,
619
00:31:20,594 --> 00:31:24,227
she would constrict me until
she constricted me so much,
620
00:31:24,260 --> 00:31:26,794
there was vasoconstriction
constriction, and my heart
621
00:31:26,827 --> 00:31:28,727
would literally almost explode,
622
00:31:28,760 --> 00:31:30,594
because, you know, it just stops it,
623
00:31:30,627 --> 00:31:33,560
and there's so much pressure
on your circulatory system,
624
00:31:33,594 --> 00:31:35,660
as well as suffocating you as well,
625
00:31:35,694 --> 00:31:37,694
you know, the prey item gets suffocated.
626
00:31:39,027 --> 00:31:41,127
Constriction is so effective
627
00:31:41,160 --> 00:31:44,527
that snakes can take on
the largest prey.
628
00:31:45,794 --> 00:31:49,060
In Cerrejon, 60 million years ago,
629
00:31:49,094 --> 00:31:52,227
it would have been
a battle of the giants.
630
00:31:53,594 --> 00:31:56,194
Magnificent.
631
00:31:56,227 --> 00:31:58,294
I don't know how you don't
look at this and not go, -wow.-
632
00:31:58,327 --> 00:31:59,327
No, it's gorgeous.
633
00:31:59,360 --> 00:32:00,960
Truly a gorgeous animal.
634
00:32:00,994 --> 00:32:03,560
Bloch: But this is gonna come
out of this habitat.
635
00:32:03,594 --> 00:32:06,227
We have to remove it,
it doesn't belong here.
636
00:32:06,260 --> 00:32:07,894
Well, that can be useful
for us, because...
637
00:32:07,927 --> 00:32:09,994
Despite
Shawn's best efforts,
638
00:32:10,027 --> 00:32:15,094
it's an ongoing battle to keep
the pythons in check.
639
00:32:15,127 --> 00:32:19,060
The most effective control
so far has been cold winters.
640
00:32:19,094 --> 00:32:21,127
Big snakes need heat to thrive
641
00:32:21,160 --> 00:32:23,694
and are vulnerable to low temperatures,
642
00:32:23,727 --> 00:32:25,860
a phenomenon that may become relevant
643
00:32:25,894 --> 00:32:29,560
in explaining why the giant
snakes at Cerrejon died out.
644
00:32:29,594 --> 00:32:31,360
Big female.
645
00:32:31,394 --> 00:32:34,627
But for now, there are
more immediate questions.
646
00:32:36,660 --> 00:32:38,060
The initial evidence suggests
647
00:32:38,094 --> 00:32:41,994
the Cerrejon snake was
the biggest that's ever lived.
648
00:32:45,727 --> 00:32:48,694
But precisely how big
649
00:32:48,727 --> 00:32:50,594
and what type?
650
00:32:54,994 --> 00:32:58,560
In the Florida lab, Jason head
is narrowing the options
651
00:32:58,594 --> 00:33:00,594
by comparing the Cerrejon fossil
652
00:33:00,627 --> 00:33:03,094
with vertebrae from living snakes.
653
00:33:04,594 --> 00:33:07,160
The final choice comes down to a python
654
00:33:07,194 --> 00:33:10,060
or a group of
so-call boid snakes,
655
00:33:10,094 --> 00:33:13,560
that includes boas and anacondas.
656
00:33:13,594 --> 00:33:14,860
If we compare the fossil
657
00:33:14,894 --> 00:33:17,194
with the vertebra of this living python,
658
00:33:17,227 --> 00:33:18,627
what we can see is that
659
00:33:18,660 --> 00:33:21,060
they're actually very similar
to each other.
660
00:33:21,094 --> 00:33:23,627
However, there is a key feature
of the fossil.
661
00:33:23,660 --> 00:33:26,360
Specifically, these two holes
662
00:33:26,394 --> 00:33:29,327
that we see on either side of
the vertebra right here,
663
00:33:29,360 --> 00:33:32,294
that are not present in pythons.
664
00:33:32,327 --> 00:33:34,627
Having eliminated pythons,
665
00:33:34,660 --> 00:33:36,594
Jason knows what type of constrictor
666
00:33:36,627 --> 00:33:40,094
the Cerrejon giant must have been.
667
00:33:40,127 --> 00:33:41,294
It actually
shared characters
668
00:33:41,327 --> 00:33:42,827
with boa constrictors,
669
00:33:42,860 --> 00:33:44,760
suggesting that they're closely
related to each other,
670
00:33:44,794 --> 00:33:47,327
despite being very different in size.
671
00:33:48,860 --> 00:33:51,560
The Cerrejon snake
was a gigantic relative
672
00:33:51,594 --> 00:33:53,760
of boas and anacondas,
673
00:33:53,794 --> 00:33:56,794
snakes that are still alive
in South America today,
674
00:33:56,827 --> 00:33:58,294
though a fraction of the size
675
00:33:58,327 --> 00:34:01,660
of their 60-million-year-old
forebear.
676
00:34:04,194 --> 00:34:07,060
Calculating the Cerrejon
monster's exact size
677
00:34:07,094 --> 00:34:10,860
requires an ingenious and
painstaking set of calculations
678
00:34:10,894 --> 00:34:14,294
from the vertebrae the team had
collected back in Cerrejon.
679
00:34:14,327 --> 00:34:16,360
In order to tell
how large a snake is,
680
00:34:16,394 --> 00:34:19,660
you have to know what part of
the body the bone is from
681
00:34:19,694 --> 00:34:20,794
within the vertebral column.
682
00:34:20,827 --> 00:34:22,227
And the reason for that
683
00:34:22,260 --> 00:34:25,660
is because within the same exact
skeleton of a snake,
684
00:34:25,694 --> 00:34:29,660
you can have very small ones
and very large ones,
685
00:34:29,694 --> 00:34:32,194
depending on where you are
in the position.
686
00:34:32,227 --> 00:34:33,694
The first question is
687
00:34:33,727 --> 00:34:35,794
how to work out where
the fossil vertebra lay
688
00:34:35,827 --> 00:34:39,294
in the giant snake's spinal column.
689
00:34:39,327 --> 00:34:42,694
David Polly of Indiana
University in Bloomington
690
00:34:42,727 --> 00:34:46,660
is drafted in to make
a mathematical model.
691
00:34:46,694 --> 00:34:49,027
The first clue is the minute changes
692
00:34:49,060 --> 00:34:51,160
in the shape of a snake's vertebrae,
693
00:34:51,194 --> 00:34:54,094
which depend on where they're situated.
694
00:34:54,127 --> 00:34:55,760
David Polly: One of
the things about snakes,
695
00:34:55,794 --> 00:34:58,627
even though they look like
they're a long tube,
696
00:34:58,660 --> 00:35:01,827
they do different things with their neck
697
00:35:01,860 --> 00:35:03,594
and with their body and with their tail.
698
00:35:03,627 --> 00:35:06,227
Sometimes they strike, and
sometimes they're slithering.
699
00:35:06,260 --> 00:35:09,194
So they've got lots
of different muscles.
700
00:35:09,227 --> 00:35:12,594
It is these muscles
that dictate the tiny differences
701
00:35:12,627 --> 00:35:16,094
in each vertebra's shape and proportion.
702
00:35:16,127 --> 00:35:17,660
As you go from
the head of the snake
703
00:35:17,694 --> 00:35:19,060
to the tail of the snake,
704
00:35:19,094 --> 00:35:21,194
you get different lengths
of these projections
705
00:35:21,227 --> 00:35:23,094
and different proportions.
706
00:35:23,127 --> 00:35:25,627
For his model,
David Polly first creates
707
00:35:25,660 --> 00:35:29,694
a mathematical map of
the Cerrejon vertebra.
708
00:35:29,727 --> 00:35:31,327
His ultimate aim is to work out
709
00:35:31,360 --> 00:35:35,594
exactly where it fits
in the snake's body.
710
00:35:35,627 --> 00:35:37,960
So what we're
looking at here
711
00:35:37,994 --> 00:35:41,360
is a stylized representation of this.
712
00:35:41,394 --> 00:35:47,560
This point here is this point,
this point is the top up here,
713
00:35:47,594 --> 00:35:49,327
and these, this down here.
714
00:35:49,360 --> 00:35:52,660
So this represents the shape
of this particular vertebra.
715
00:35:52,694 --> 00:35:54,327
Then, the shape and gradient
716
00:35:54,360 --> 00:35:57,160
of hundreds of vertebrae
in modern boid snakes
717
00:35:57,194 --> 00:36:01,627
from every part of the body are
also entered into the model.
718
00:36:01,660 --> 00:36:06,160
Finally, the Cerrejon vertebra
is matched against them.
719
00:36:06,194 --> 00:36:07,760
What we did
mathematically
720
00:36:07,794 --> 00:36:11,627
was we took this gradient
from one to the other
721
00:36:11,660 --> 00:36:13,827
in all of the snakes
722
00:36:13,860 --> 00:36:15,760
and found where it matched best
723
00:36:15,794 --> 00:36:19,094
as you went from the front to the back.
724
00:36:19,127 --> 00:36:21,694
We could then measure
the shape on this vertebra
725
00:36:21,727 --> 00:36:23,827
and then with some degree of likelihood,
726
00:36:23,860 --> 00:36:29,760
be able to place it within
some position in the body.
727
00:36:29,794 --> 00:36:31,627
It's a fairly simple idea,
728
00:36:31,660 --> 00:36:33,927
but it actually takes
quite a bit of work
729
00:36:33,960 --> 00:36:37,660
and took us the greater part
of a year to do.
730
00:36:37,694 --> 00:36:40,794
With the ancient fossil
embedded into the snake map,
731
00:36:40,827 --> 00:36:42,694
it is now possible to reconstruct
732
00:36:42,727 --> 00:36:44,894
the size of the snake.
733
00:36:46,894 --> 00:36:48,994
In the courtyard of the Florida museum,
734
00:36:49,027 --> 00:36:53,127
Jon Bloch and Jason head are
ready for the big revelation.
735
00:36:54,727 --> 00:36:56,794
Bloch: Where would this go,
do you think, in the body?
736
00:36:56,827 --> 00:36:59,260
So that specimen would be
just over halfway
737
00:36:59,294 --> 00:37:00,627
between the head and the tail,
738
00:37:00,660 --> 00:37:03,260
so just about here.
739
00:37:03,294 --> 00:37:04,827
Okay.
740
00:37:04,860 --> 00:37:07,894
The result is awe inspiring.
741
00:37:16,260 --> 00:37:18,860
The longest modern snake,
the reticulated python,
742
00:37:18,894 --> 00:37:21,227
measures 28 feet.
743
00:37:21,260 --> 00:37:26,027
The biggest previous fossil
snake, Gigantophis... 33 feet.
744
00:37:28,127 --> 00:37:32,227
The Cerrejon snake smashes the record.
745
00:37:32,260 --> 00:37:34,794
48 feet long,
746
00:37:34,827 --> 00:37:38,760
it is the longest snake
in world history.
747
00:37:38,794 --> 00:37:39,727
That's a big snake.
748
00:37:39,760 --> 00:37:41,794
This is a huge snake.
749
00:37:41,827 --> 00:37:45,060
This is just the first
specimen from Cerrejon.
750
00:37:46,394 --> 00:37:50,260
There could be even
longer snakes out there.
751
00:37:50,294 --> 00:37:52,627
And further mysteries remain.
752
00:37:52,660 --> 00:37:55,694
How did it live?
What did it eat?
753
00:37:55,727 --> 00:37:57,660
What did it really look like?
754
00:37:57,694 --> 00:38:02,694
Above all, how could it possibly
have grown so big?
755
00:38:09,360 --> 00:38:11,560
It's time to name it.
756
00:38:11,594 --> 00:38:14,960
To reflect its ancestry,
as well as its enormity,
757
00:38:14,994 --> 00:38:18,560
it will be called Titanoboa,
758
00:38:18,594 --> 00:38:21,527
a boa of Titanic proportions.
759
00:38:22,894 --> 00:38:25,794
In honor of the Colombian mine
where it was found,
760
00:38:25,827 --> 00:38:30,860
its full name...
Titanoboa Cerrejonensis.
761
00:38:30,894 --> 00:38:34,960
With its credentials proved,
titanoboa can be launched,
762
00:38:34,994 --> 00:38:38,594
a creature to make headlines
and capture the imagination
763
00:38:38,627 --> 00:38:43,127
of the scientific, phobic
and expert across the world.
764
00:38:45,327 --> 00:38:48,294
Stephen: Wow, you know,
this is an amazing animal.
765
00:38:48,327 --> 00:38:50,560
It's just one of those things
that you know
766
00:38:50,594 --> 00:38:52,060
you're not gonna have happen
767
00:38:52,094 --> 00:38:53,894
that many times in your lifetime.
768
00:38:53,927 --> 00:38:56,894
Finally, snakes are on the map.
769
00:38:56,927 --> 00:39:00,594
Bloch: Many people's reaction is
just sort of that of horror.
770
00:39:02,827 --> 00:39:04,960
There's a certain fear of snakes
that exists out there,
771
00:39:04,994 --> 00:39:06,327
and I think for a lot of people
772
00:39:06,360 --> 00:39:08,827
that's sort of the root
of the fascination.
773
00:39:08,860 --> 00:39:11,294
Narrator: To fully
comprehend titanoboa,
774
00:39:11,327 --> 00:39:14,594
it needs, somehow, to be seen.
775
00:39:16,694 --> 00:39:18,560
Snakes are not just bones,
776
00:39:18,594 --> 00:39:21,027
there's also flesh on those bones.
777
00:39:21,060 --> 00:39:23,094
At Indiana university, Bloomington,
778
00:39:23,127 --> 00:39:27,694
a snake is coming under
a highly expert knife.
779
00:39:27,727 --> 00:39:30,127
Matt Rowe used to be a Sushi chef,
780
00:39:30,160 --> 00:39:33,860
now his skills are unveiling
the complete snake.
781
00:39:35,194 --> 00:39:39,594
The meat, a delicacy
in many exotic cuisines.
782
00:39:39,627 --> 00:39:44,627
The skin, used for ladies'
handbags, belts and boots.
783
00:39:44,660 --> 00:39:47,194
But the most striking thing
Matt can reveal
784
00:39:47,227 --> 00:39:49,560
is how much larger a snake becomes
785
00:39:49,594 --> 00:39:52,694
when its bones are fleshed out.
786
00:39:52,727 --> 00:39:54,094
Matt Rowe: Alright.
787
00:39:54,127 --> 00:39:57,060
So this is the vertebra inside
of the cross-section here.
788
00:39:57,094 --> 00:39:59,694
It's a little bit difficult
to see at this point,
789
00:39:59,727 --> 00:40:01,127
because they're relatively small
790
00:40:01,160 --> 00:40:04,094
in comparison to the size
of the cross-section,
791
00:40:04,127 --> 00:40:07,360
and you can see the centrum
of the vertebra here.
792
00:40:07,394 --> 00:40:10,027
In our research, in
the dissections that we've done,
793
00:40:10,060 --> 00:40:12,627
the size of the vertebra
in comparison to the snake
794
00:40:12,660 --> 00:40:14,327
has always surprised me,
795
00:40:14,360 --> 00:40:18,760
in the sense that
they are always much smaller
796
00:40:18,794 --> 00:40:20,660
than I would think.
797
00:40:20,694 --> 00:40:22,294
As you can see here,
798
00:40:22,327 --> 00:40:24,627
a small vertebra does not
necessarily indicate
799
00:40:24,660 --> 00:40:26,160
a small snake.
800
00:40:27,727 --> 00:40:29,027
In some big living snakes,
801
00:40:29,060 --> 00:40:32,227
the ribs are about five inches long.
802
00:40:32,260 --> 00:40:34,927
Scaled up to the Cerrejon giant snake,
803
00:40:34,960 --> 00:40:38,660
the ribs must have been
more like two feet long,
804
00:40:38,694 --> 00:40:42,894
with a wall of muscle strong
enough to crush a rhinoceros.
805
00:40:48,227 --> 00:40:51,260
To recreate the full glory of titanoboa,
806
00:40:51,294 --> 00:40:53,827
a Canadian model maker, Kevin Hockley,
807
00:40:53,860 --> 00:40:56,227
is drafted into the team.
808
00:40:57,960 --> 00:41:01,794
He's commissioned to build
a life-size replica.
809
00:41:01,827 --> 00:41:05,160
His previous life-size creations
include two animals
810
00:41:05,194 --> 00:41:08,794
that also once seemed the stuff
of myth and fantasy,
811
00:41:08,827 --> 00:41:12,594
but are monstrously
alive and well today...
812
00:41:12,627 --> 00:41:16,360
A narwhal and a giant squid.
813
00:41:16,394 --> 00:41:22,360
Titanoboa, though long dead,
will overwhelm even them.
814
00:41:22,394 --> 00:41:23,594
It's a huge snake
815
00:41:23,627 --> 00:41:25,294
and bigger than any living snake
816
00:41:25,327 --> 00:41:28,827
and certainly bigger than any
snake that I've made to date.
817
00:41:28,860 --> 00:41:30,927
And the other challenge was,
818
00:41:30,960 --> 00:41:34,194
there's only a few actual
fossils of the bones,
819
00:41:34,227 --> 00:41:37,694
so we're going by
a scientist's speculation
820
00:41:37,727 --> 00:41:41,560
as to what it actually looked like.
821
00:41:41,594 --> 00:41:43,794
Narrator: One key part
is missing...
822
00:41:43,827 --> 00:41:46,694
A fossil of Titanoboa's skull.
823
00:41:46,727 --> 00:41:49,027
Kevin is starting his model
from the tail end,
824
00:41:49,060 --> 00:41:52,994
in the hope that Jason head and
his colleagues will find one.
825
00:41:53,027 --> 00:41:55,960
Head: He's a biologically
realistic model.
826
00:41:55,994 --> 00:41:57,594
Narrator: Only with
the head in place
827
00:41:57,627 --> 00:42:01,260
will we know exactly
how titanoboa looked.
828
00:42:01,294 --> 00:42:04,194
Head: And it gives you both
the biology and the fear factor,
829
00:42:04,227 --> 00:42:08,227
the punch, that would
get people interested.
830
00:42:08,260 --> 00:42:11,560
Back at Cerrejon, the
fossil hunters scour the mine
831
00:42:11,594 --> 00:42:13,660
for the skull bones whose fragility
832
00:42:13,694 --> 00:42:16,527
makes them so elusive and rare.
833
00:42:17,860 --> 00:42:19,960
They know a headless snake
834
00:42:19,994 --> 00:42:23,127
will always be a story without an end.
835
00:42:25,694 --> 00:42:28,194
And other mysteries remain...
836
00:42:28,227 --> 00:42:30,294
What did titanoboa eat?
837
00:42:30,327 --> 00:42:33,360
How did it hunt and reproduce?
838
00:42:33,394 --> 00:42:37,527
One place on today's earth
can provide some clues.
839
00:42:40,627 --> 00:42:43,860
The flooded grasslands of
the Venezuelan llanos.
840
00:42:53,827 --> 00:42:55,894
Here, the average temperature
841
00:42:55,927 --> 00:42:59,160
is more than a sweltering 80 degrees.
842
00:43:02,894 --> 00:43:04,994
Though this is not a rainforest,
843
00:43:05,027 --> 00:43:08,360
the similarity of the animals
in these sultry wetlands
844
00:43:08,394 --> 00:43:11,860
makes it almost a mini Cerrejon.
845
00:43:11,894 --> 00:43:14,560
Turtles and caiman flourish,
846
00:43:14,594 --> 00:43:15,760
and alongside them,
847
00:43:15,794 --> 00:43:19,294
an animal with similar habits
to titanoboa,
848
00:43:19,327 --> 00:43:23,227
the heaviest snake
in the modern world...
849
00:43:23,260 --> 00:43:26,660
The green anaconda.
850
00:43:26,694 --> 00:43:30,594
Jesus Rivas is the leading
authority on the anaconda.
851
00:43:30,627 --> 00:43:32,227
He spent 20 years in these wetlands,
852
00:43:32,260 --> 00:43:35,694
studying them close up
and what they like to eat,
853
00:43:35,727 --> 00:43:37,527
like this turtle.
854
00:43:38,894 --> 00:43:42,094
Jesus Rivas:
Wow, it's a monster!
855
00:43:42,127 --> 00:43:44,927
Narrator: Titanoboa may have
been 10 times as heavy,
856
00:43:44,960 --> 00:43:48,560
but Jesus believes the anaconda
gives the best possible insight
857
00:43:48,594 --> 00:43:49,860
into its world.
858
00:43:51,660 --> 00:43:53,694
Most boas live in trees,
859
00:43:53,727 --> 00:43:56,560
an unlikely move for titanoboa.
860
00:43:56,594 --> 00:44:00,860
So the anaconda, also one of
the boid group of snakes,
861
00:44:00,894 --> 00:44:04,060
offers the best comparison.
862
00:44:04,094 --> 00:44:07,894
Titanoboa is
an aquatic, tropical snake
863
00:44:07,927 --> 00:44:09,894
that is very related to anaconda.
864
00:44:09,927 --> 00:44:14,027
I can't think of a closer model
of standard snakes
865
00:44:14,060 --> 00:44:19,260
to understand what titanoboa
was like than living anacondas.
866
00:44:21,060 --> 00:44:25,294
Narrator: Jesus walks these
snake-infested swamplands barefoot,
867
00:44:25,327 --> 00:44:28,860
so he can feel reptiles he can't see.
868
00:44:30,360 --> 00:44:34,227
There are leeches, stingrays,
caiman, crocs, and piranhas
869
00:44:34,260 --> 00:44:36,294
in his path.
870
00:44:36,327 --> 00:44:37,860
But it's worth it
871
00:44:37,894 --> 00:44:41,994
to get to grips with these
magnificent but shy creatures.
872
00:44:44,660 --> 00:44:50,027
Suddenly, Jesus feels a familiar
slithery presence underfoot.
873
00:44:50,060 --> 00:44:52,060
Got something for ya.
874
00:44:54,694 --> 00:44:56,260
Okay, got you.
875
00:45:00,327 --> 00:45:02,627
Jesus has found anacondas
876
00:45:02,660 --> 00:45:04,794
measuring a massive 18 feet.
877
00:45:04,827 --> 00:45:06,894
Just like
they're three and a half.
878
00:45:06,927 --> 00:45:09,160
He knows that
dry land is their enemy.
879
00:45:09,194 --> 00:45:10,160
Okay.
880
00:45:10,194 --> 00:45:12,227
Something that
must have also been true
881
00:45:12,260 --> 00:45:13,694
for titanoboa.
882
00:45:13,727 --> 00:45:16,127
I don't think titanoboa,
being that large,
883
00:45:16,160 --> 00:45:19,194
would have been very easy
to crawl through dry land,
884
00:45:19,227 --> 00:45:21,694
maybe for very short time.
885
00:45:24,227 --> 00:45:27,960
Narrator: Titanoboa weighed
as much as 20 people.
886
00:45:27,994 --> 00:45:31,627
Movement on land was a constant
fight with gravity.
887
00:45:34,327 --> 00:45:37,794
Like the anaconda, its friend was water,
888
00:45:37,827 --> 00:45:42,127
where it becomes effectively
weightless and faster.
889
00:45:44,827 --> 00:45:47,027
Today's snake habitat in Venezuela
890
00:45:47,060 --> 00:45:50,760
reinforces the evidence
that Titanoboa's kingdom
891
00:45:50,794 --> 00:45:53,960
was a rainforest water world.
892
00:45:53,994 --> 00:45:56,194
And this is a very large,
893
00:45:56,227 --> 00:45:58,760
either a slow-moving
river system,
894
00:45:58,794 --> 00:46:01,327
or kind of a backwater of
a major river system.
895
00:46:01,360 --> 00:46:04,594
So what we have is a big, wet
landscape full of water
896
00:46:04,627 --> 00:46:07,127
with a lot of aquatic snakes in it.
897
00:46:07,160 --> 00:46:11,827
Narrator: On land, Titanoboa's
weight is suffocating it.
898
00:46:11,860 --> 00:46:15,794
Sliding into the water,
it is coming home.
899
00:46:21,360 --> 00:46:23,794
In this ideal environment,
900
00:46:23,827 --> 00:46:26,694
it becomes the ruling predator,
901
00:46:26,727 --> 00:46:28,594
a lurking killer.
902
00:46:29,894 --> 00:46:32,360
Despite their lack of legs or fins,
903
00:46:32,394 --> 00:46:34,694
snakes are natural swimmers,
904
00:46:34,727 --> 00:46:36,094
faster than humans.
905
00:46:37,594 --> 00:46:40,327
The secret is their flexible spines.
906
00:46:42,227 --> 00:46:45,227
They turn themselves
into a fluid "s" shape,
907
00:46:45,260 --> 00:46:48,660
using their whole body
to carve through the water.
908
00:46:49,927 --> 00:46:52,127
The anacondas of the Venezuelan llanos
909
00:46:52,160 --> 00:46:55,860
are the nearest living echo
of the long lost snake
910
00:46:55,894 --> 00:46:58,594
and the world it dominated.
911
00:46:58,627 --> 00:47:01,960
And to get even closer to
their extraordinary discovery,
912
00:47:01,994 --> 00:47:06,294
the scientists must encounter
the anaconda face to face.
913
00:47:07,994 --> 00:47:11,627
But they won't give up
their secrets without a fight.
914
00:47:15,960 --> 00:47:17,794
Jon Bloch and Jason head,
915
00:47:17,827 --> 00:47:20,060
experts in the prehistoric world,
916
00:47:20,094 --> 00:47:23,827
land in the Venezuelan llanos,
close to the equator.
917
00:47:33,060 --> 00:47:35,860
It's oppressively hot and humid.
918
00:47:37,660 --> 00:47:39,327
Hell for humans,
919
00:47:39,360 --> 00:47:43,260
paradise for the biggest snakes
on today's earth.
920
00:47:47,694 --> 00:47:50,960
Jon and Jason have come
in search of the green anaconda,
921
00:47:50,994 --> 00:47:54,094
which thrives in this steaming swamp.
922
00:47:55,594 --> 00:47:58,627
The anaconda's lifestyle is
the closest they can find
923
00:47:58,660 --> 00:48:01,127
to the giant snake, titanoboa,
924
00:48:01,160 --> 00:48:04,927
which flourished in Colombia
60 million years ago
925
00:48:04,960 --> 00:48:08,694
in the lost world of Cerrejon.
926
00:48:08,727 --> 00:48:10,594
Their guide is Jesus Rivas,
927
00:48:10,627 --> 00:48:14,960
the world's leading expert
on the green anaconda.
928
00:48:14,994 --> 00:48:18,627
He shows the new arrivals
that the best way to find one
929
00:48:18,660 --> 00:48:21,860
is to feel for it with bare feet.
930
00:48:21,894 --> 00:48:23,794
Alarmingly, he can also tell them
931
00:48:23,827 --> 00:48:27,960
that anacondas can be lethal,
even for humans.
932
00:48:27,994 --> 00:48:31,827
Rivas: An anaconda is potentially
a danger for a person
933
00:48:31,860 --> 00:48:33,827
because of the sheer size.
934
00:48:33,860 --> 00:48:36,027
They're generalist predators.
935
00:48:37,227 --> 00:48:39,827
As long as capacity of killing a person,
936
00:48:39,860 --> 00:48:42,560
definitely can kill a person.
937
00:48:42,594 --> 00:48:45,094
Narrator: Anaconda mainly hunt
in water,
938
00:48:45,127 --> 00:48:48,060
where they're hardest to spot.
939
00:48:48,094 --> 00:48:51,960
Just like titanoboa,
lurking beneath the surface,
940
00:48:51,994 --> 00:48:55,160
waiting for unsuspecting prey
to pass by.
941
00:48:56,827 --> 00:49:00,694
Dead still, heart, a silent murmur,
942
00:49:00,727 --> 00:49:03,827
holding its breath for up to 45 minutes.
943
00:49:05,894 --> 00:49:09,660
Waiting for the perfect prey
944
00:49:09,694 --> 00:49:11,994
until the moment comes.
945
00:49:18,627 --> 00:49:19,694
Oh, you got tagged.
946
00:49:19,727 --> 00:49:20,827
It's all right.
947
00:49:29,594 --> 00:49:30,760
He came out of nowhere,
948
00:49:30,794 --> 00:49:32,594
it was like the monster from the deep.
949
00:49:32,627 --> 00:49:36,260
Jon has suddenly
become the target.
950
00:49:36,294 --> 00:49:38,294
Bad girl.
951
00:49:38,327 --> 00:49:42,060
Let it bleed, let it bleed.
952
00:49:42,094 --> 00:49:43,560
It hurt,
there's no doubt it hurt,
953
00:49:43,594 --> 00:49:44,260
and it's bleeding a lot.
954
00:49:44,294 --> 00:49:45,260
Does it hurt a lot?
955
00:49:45,294 --> 00:49:47,327
We have band aids, so.
956
00:49:47,360 --> 00:49:48,694
Is that normal
to puff up like that?
957
00:49:48,727 --> 00:49:49,894
No.
958
00:49:49,927 --> 00:49:51,627
Probably need
to put something over it.
959
00:49:51,660 --> 00:49:53,227
Jon will later find out
960
00:49:53,260 --> 00:49:57,894
the anaconda has left two
vicious teeth buried in his leg.
961
00:50:00,360 --> 00:50:04,727
It saw him either as
potential prey or as a threat.
962
00:50:04,760 --> 00:50:05,660
Welcome to the club!
963
00:50:05,694 --> 00:50:06,694
Oh, thank you.
964
00:50:08,227 --> 00:50:12,127
Narrator: To Jesus, it's part of
everyday life in snake land.
965
00:50:13,727 --> 00:50:18,227
The anaconda that bit Jon
was relatively small fry.
966
00:50:18,260 --> 00:50:24,594
Even the largest anaconda here
would be dwarfed by titanoboa.
967
00:50:24,627 --> 00:50:26,694
Oh, my God, look.
968
00:50:26,727 --> 00:50:28,727
But whatever
the difference in size,
969
00:50:28,760 --> 00:50:31,127
they eat the same way.
970
00:50:31,160 --> 00:50:33,360
Look how skinny he becomes.
971
00:50:33,394 --> 00:50:37,160
That looks like a Galapagos,
like a turtle.
972
00:50:37,194 --> 00:50:40,560
So there's an example of
an anaconda with a turtle in it,
973
00:50:40,594 --> 00:50:41,627
you think?
974
00:50:41,660 --> 00:50:42,660
That's right.
975
00:50:42,694 --> 00:50:44,127
That is
pretty interesting,
976
00:50:44,160 --> 00:50:48,260
so sideneck turtles,
just like we have in Cerrejon.
977
00:50:48,294 --> 00:50:50,560
The anaconda
has swallowed a meal
978
00:50:50,594 --> 00:50:52,660
wider than its own body.
979
00:50:52,694 --> 00:50:54,294
Oh, look at that.
980
00:50:54,327 --> 00:50:55,760
Her tail looks fine.
981
00:50:55,794 --> 00:50:56,960
Okay.
982
00:50:56,994 --> 00:50:58,694
Not a catcher,
sorry, girl.
983
00:50:58,727 --> 00:51:02,627
Look at this, look at the piece,
the chunk missing over here.
984
00:51:02,660 --> 00:51:04,794
Come on here, come on here,
look at the chunk of flesh.
985
00:51:04,827 --> 00:51:07,860
Narrator: Jesus spots a wound
on the anaconda's side.
986
00:51:07,894 --> 00:51:09,960
It was inflicted by the prey.
987
00:51:09,994 --> 00:51:13,094
Maybe it's a baby Capybara.
988
00:51:13,127 --> 00:51:15,627
It's expensive for a snake
to take a meal.
989
00:51:15,660 --> 00:51:16,627
Yeah.
990
00:51:16,660 --> 00:51:20,694
On every hunt,
a snake risks its life.
991
00:51:20,727 --> 00:51:23,294
It's kill or be killed.
992
00:51:23,327 --> 00:51:25,127
Rivas: Okay, let's move around,
let's move away,
993
00:51:25,160 --> 00:51:29,260
leave her address her meal,
we don't want her to lose it.
994
00:51:29,294 --> 00:51:31,860
The anaconda wants
some privacy and safety
995
00:51:31,894 --> 00:51:33,927
to digest its catch.
996
00:51:36,894 --> 00:51:40,227
These snakes don't stop at turtles.
997
00:51:40,260 --> 00:51:44,160
They also prey here on caiman,
a type of crocodile.
998
00:51:45,894 --> 00:51:49,694
Snakes have always been willing
to take on the largest prey,
999
00:51:49,727 --> 00:51:52,260
both now and 60 million years ago.
1000
00:51:53,694 --> 00:51:56,294
Is any animal safe from titanoboa
1001
00:51:56,327 --> 00:51:58,827
in Cerrejon's lost world?
1002
00:52:00,260 --> 00:52:04,094
Even the half ton blunt-nosed
crocodile is at risk...
1003
00:52:05,694 --> 00:52:09,527
...unable to escape the giant
snake's recurved teeth.
1004
00:52:11,594 --> 00:52:13,027
Crushed by coils of muscle,
1005
00:52:13,060 --> 00:52:16,760
delivering 400 pounds
per square inch of pressure.
1006
00:52:18,060 --> 00:52:20,694
Each time the crocodile's chest moves,
1007
00:52:20,727 --> 00:52:23,260
titanoboa tightens its grip.
1008
00:52:24,694 --> 00:52:27,760
Inducing unconsciousness,
1009
00:52:27,794 --> 00:52:30,760
then cutting off its victim's blood...
1010
00:52:32,127 --> 00:52:33,860
...until death.
1011
00:52:43,394 --> 00:52:45,560
There's movement in the water.
1012
00:52:47,694 --> 00:52:50,060
Rivas:
That's what we're here for.
1013
00:52:50,094 --> 00:52:52,594
What do you have?
1014
00:52:52,627 --> 00:52:53,727
Oh!
1015
00:52:55,360 --> 00:52:58,360
Narrator: This anaconda's
big enough to crush a human.
1016
00:52:58,394 --> 00:52:59,694
Woo!
1017
00:52:59,727 --> 00:53:02,594
She wants to give me a kiss,
look at that.
1018
00:53:02,627 --> 00:53:03,827
Or is it Jon you like?
1019
00:53:03,860 --> 00:53:05,927
Four human adults struggle
1020
00:53:05,960 --> 00:53:10,227
to resist the massive, twisting
force of the snake's muscles.
1021
00:53:10,260 --> 00:53:11,760
She is...
1022
00:53:11,794 --> 00:53:12,927
Strong.
1023
00:53:12,960 --> 00:53:14,627
Holding it
behind the head
1024
00:53:14,660 --> 00:53:16,294
is the only way to make it safe...
1025
00:53:16,327 --> 00:53:18,160
Why won't you hold his ears?
1026
00:53:18,194 --> 00:53:21,060
...As head movement
controls the body's twisting.
1027
00:53:22,227 --> 00:53:25,627
This snake is big, powerful and hungry.
1028
00:53:25,660 --> 00:53:27,194
Let me do that.
Bloch: I've got it.
1029
00:53:27,227 --> 00:53:28,694
Let me hold the first part.
1030
00:53:28,727 --> 00:53:32,660
This girl, this size
will feed on anything.
1031
00:53:32,694 --> 00:53:37,327
Small crocs, turtles, deer,
small children, anything.
1032
00:53:38,660 --> 00:53:39,927
Bloch: So this is probably
about the size
1033
00:53:39,960 --> 00:53:43,727
of a juvenile titanoboa,
maybe about a year old?
1034
00:53:45,860 --> 00:53:49,027
How long do you reckon
this vertebrates are?
1035
00:53:49,060 --> 00:53:50,560
Head: The vertebrae
on this animal?
1036
00:53:50,594 --> 00:53:51,327
Yeah.
1037
00:53:51,360 --> 00:53:52,460
Be about that wide.
1038
00:53:52,494 --> 00:53:54,594
Snakes keep growing
throughout their lives.
1039
00:53:54,627 --> 00:53:58,827
The bigger ones are the longest
lived and the most successful.
1040
00:53:58,860 --> 00:54:01,160
No, no, no,
titanoboa is like that.
1041
00:54:01,194 --> 00:54:03,227
Given the size
of this anaconda,
1042
00:54:03,260 --> 00:54:05,160
it seems almost unbelievable
1043
00:54:05,194 --> 00:54:08,594
that it's nothing
compared with titanoboa.
1044
00:54:08,627 --> 00:54:12,327
No, Titanoboa's probably
60, 70 centimeters wide.
1045
00:54:12,360 --> 00:54:14,127
This snake looks like
she's got a diameter
1046
00:54:14,160 --> 00:54:18,994
of about nine, maybe 10
centimeters at the widest point,
1047
00:54:19,027 --> 00:54:20,627
which is one-fifth
to one-seventh
1048
00:54:20,660 --> 00:54:22,694
the width of titanoboa.
1049
00:54:22,727 --> 00:54:25,827
Rivas: This is a very skinny
snake for her size.
1050
00:54:25,860 --> 00:54:28,627
If she were nice and plump,
1051
00:54:28,660 --> 00:54:31,160
she would be probably 10 inches across.
1052
00:54:31,194 --> 00:54:32,294
Head: Okay.
1053
00:54:32,327 --> 00:54:34,594
She probably gave birth
last year,
1054
00:54:34,627 --> 00:54:36,027
for how skinny she is.
1055
00:54:36,060 --> 00:54:40,827
And she probably is aiming for
a Capybara or a good caiman
1056
00:54:40,860 --> 00:54:44,927
or something to make up
for the energy lost.
1057
00:54:44,960 --> 00:54:46,894
This is as close
as the scientists can get
1058
00:54:46,927 --> 00:54:48,994
in the living snake world of today
1059
00:54:49,027 --> 00:54:51,760
to the lost world of titanoboa.
1060
00:54:54,160 --> 00:54:56,660
Okay.
1061
00:54:56,694 --> 00:54:57,994
Let's go home.
1062
00:54:58,027 --> 00:55:00,660
The habitat and plants
may be different,
1063
00:55:00,694 --> 00:55:02,927
and this is not a rainforest.
1064
00:55:05,960 --> 00:55:10,794
But the similarities in the mix
of animals are striking.
1065
00:55:10,827 --> 00:55:13,560
Head: If you think about
this ecosystem,
1066
00:55:13,594 --> 00:55:15,160
how many snakes we found just today
1067
00:55:15,194 --> 00:55:18,194
and how many caiman we've seen
and how many turtles.
1068
00:55:20,394 --> 00:55:24,194
Where we're standing right now,
that's basically Cerrejon.
1069
00:55:25,727 --> 00:55:26,994
Bloch: It's really
an incredible experience
1070
00:55:27,027 --> 00:55:29,894
for me to be able to see
this habitat like this.
1071
00:55:29,927 --> 00:55:32,560
At Cerrejon, we find this big
layer with, you know,
1072
00:55:32,594 --> 00:55:34,894
all of these skeletons of snakes
closely spaced,
1073
00:55:34,927 --> 00:55:36,727
and you think, well,
how could an ecosystem sustain
1074
00:55:36,760 --> 00:55:39,194
that many snakes in such a small place?
1075
00:55:39,227 --> 00:55:41,060
And then here we're finding
snakes all over the place,
1076
00:55:41,094 --> 00:55:43,927
together, giant, huge snakes.
1077
00:55:45,260 --> 00:55:49,094
The team finds
five anacondas in just one day.
1078
00:55:49,127 --> 00:55:53,094
Jesus has counted 2,000
of these snakes here.
1079
00:55:53,127 --> 00:55:54,727
Watch your hands.
1080
00:55:54,760 --> 00:55:58,860
Cerrejon would
probably have been the same.
1081
00:55:58,894 --> 00:56:02,260
Not just one or two titanoboa,
1082
00:56:02,294 --> 00:56:04,327
but thousands.
1083
00:56:04,360 --> 00:56:05,694
Go for it.
1084
00:56:05,727 --> 00:56:06,927
There you go.
1085
00:56:06,960 --> 00:56:09,627
Beautiful, look at that.
1086
00:56:09,660 --> 00:56:10,927
Narrator: As the trip ends,
1087
00:56:10,960 --> 00:56:14,560
Jon Bloch turns snake catcher
for the first time.
1088
00:56:14,594 --> 00:56:15,794
Gorgeous snake.
1089
00:56:15,827 --> 00:56:18,294
Your first worry is
to protect the head.
1090
00:56:18,327 --> 00:56:21,327
Their muscle cladded,
all the things protection,
1091
00:56:21,360 --> 00:56:22,627
but the head is very sensitive.
1092
00:56:22,660 --> 00:56:23,860
So when they feel in danger,
1093
00:56:23,894 --> 00:56:26,660
they'll wrap their head around anything.
1094
00:56:26,694 --> 00:56:27,760
That's what she was trying to do
1095
00:56:27,794 --> 00:56:29,960
to protect her head between her loops,
1096
00:56:29,994 --> 00:56:31,560
that's what tangles you up.
1097
00:56:31,594 --> 00:56:33,694
Bloch: Got it.
1098
00:56:33,727 --> 00:56:35,660
She's got me around the neck.
1099
00:56:35,694 --> 00:56:36,594
Do you want to help me there, Jason?
1100
00:56:37,660 --> 00:56:38,660
Thank you.
1101
00:56:38,694 --> 00:56:40,627
You're a good friend.
1102
00:56:40,660 --> 00:56:43,260
Oh, that's fantastic,
look at that.
1103
00:56:46,594 --> 00:56:49,627
Jon and Jason's work,
both in the lab and the field,
1104
00:56:49,660 --> 00:56:52,094
is fed back to their model maker
Kevin Hockley
1105
00:56:52,127 --> 00:56:55,160
thousands of Miles away in Canada.
1106
00:56:59,827 --> 00:57:02,794
But to complete his recreation
of titanoboa,
1107
00:57:02,827 --> 00:57:05,260
he urgently needs a skull.
1108
00:57:14,627 --> 00:57:15,960
The team of scientists investigating
1109
00:57:15,994 --> 00:57:19,194
the giant prehistoric snake, titanoboa,
1110
00:57:19,227 --> 00:57:22,560
return to the coalmine
at Cerrejon in Colombia,
1111
00:57:22,594 --> 00:57:26,094
the place they first discovered
fossils of its vertebrae.
1112
00:57:27,660 --> 00:57:29,094
They're in a race against time
1113
00:57:29,127 --> 00:57:32,760
to find the one missing piece
in their Jigsaw puzzle,
1114
00:57:32,794 --> 00:57:35,827
a remnant of Titanoboa's skull.
1115
00:57:39,594 --> 00:57:42,827
Soon, the diggers will penetrate
beneath the seam of coal
1116
00:57:42,860 --> 00:57:46,894
that revealed the lost world
of 60 million years ago.
1117
00:57:48,894 --> 00:57:50,194
The operations
at the mine
1118
00:57:50,227 --> 00:57:52,894
will eventually destroy
this hill completely
1119
00:57:52,927 --> 00:57:54,860
and probably this will be
our last trip here,
1120
00:57:54,894 --> 00:57:57,127
on the LA puente pit
that's been so good to us
1121
00:57:57,160 --> 00:57:58,560
in terms of collecting.
1122
00:57:58,594 --> 00:58:00,194
This is the only place in the world
1123
00:58:00,227 --> 00:58:04,194
that we've ever, in fact,
found titanoboa, for example.
1124
00:58:04,227 --> 00:58:07,227
The mine has not just
produced titanoboa,
1125
00:58:07,260 --> 00:58:10,894
it has revealed a dazzling
variety of giant animals.
1126
00:58:12,294 --> 00:58:15,694
One of the most remarkable
is the freshwater turtle,
1127
00:58:15,727 --> 00:58:19,327
discovered by Colombian
scientist Edwin Cadena.
1128
00:58:23,960 --> 00:58:25,694
He could hardly believe his eyes
1129
00:58:25,727 --> 00:58:29,860
when he began scraping away
at the first fossil.
1130
00:58:29,894 --> 00:58:32,760
So I start working
with this screwdriver,
1131
00:58:32,794 --> 00:58:34,860
carefully removing all the sediment
1132
00:58:34,894 --> 00:58:37,127
that was covering this specimen.
1133
00:58:37,160 --> 00:58:40,694
And wow, it was
a really, really nice moment
1134
00:58:40,727 --> 00:58:46,160
for me to see this almost
two-meters-long turtle
1135
00:58:46,194 --> 00:58:48,194
coming at the surface.
1136
00:58:49,827 --> 00:58:53,827
This is the head of the turtle
and this is the shell,
1137
00:58:53,860 --> 00:58:56,827
the carapace and the plastron
of the turtle.
1138
00:58:56,860 --> 00:58:59,894
It was a surprise for me.
1139
00:58:59,927 --> 00:59:01,827
The final measurement
turns out to be
1140
00:59:01,860 --> 00:59:06,027
an astonishing eight feet,
as big as a dinner table.
1141
00:59:08,027 --> 00:59:11,160
The lost water world
contains strange species,
1142
00:59:11,194 --> 00:59:15,594
like the lungfish, capable of
breathing in surface air.
1143
00:59:15,627 --> 00:59:18,627
It grew as big as a man.
1144
00:59:18,660 --> 00:59:21,260
And there were massive crocodiles.
1145
00:59:21,294 --> 00:59:22,660
So we have
three different types
1146
00:59:22,694 --> 00:59:25,094
of crocodile relatives from Colombia,
1147
00:59:25,127 --> 00:59:28,894
we have a small-bodied form
with a relatively narrow snout,
1148
00:59:28,927 --> 00:59:31,627
good for small prey items.
1149
00:59:31,660 --> 00:59:33,994
Medium sized,
long-snouted form here,
1150
00:59:34,027 --> 00:59:37,827
this lower jaw is very good for
catching slippery, quick fish.
1151
00:59:37,860 --> 00:59:39,694
Here is
a blunt-snouted crocodile
1152
00:59:39,727 --> 00:59:40,760
with a really short snout,
1153
00:59:40,794 --> 00:59:44,660
which is perfectly adapted
for really tough foods.
1154
00:59:44,694 --> 00:59:46,027
So something like a turtle shell
1155
00:59:46,060 --> 00:59:48,594
that needs a lot of force
in order to deal with that.
1156
00:59:48,627 --> 00:59:50,560
When you have your upper
and your lower jaws
1157
00:59:50,594 --> 00:59:52,660
coming together like this,
1158
00:59:52,694 --> 00:59:54,827
you have to have a really strong tooth
1159
00:59:54,860 --> 00:59:56,827
in order to withstand that pressure.
1160
00:59:56,860 --> 00:59:59,260
And these blunt, round teeth
are perfectly adapted
1161
00:59:59,294 --> 01:00:02,627
for taking on tough foods
like turtle shells.
1162
01:00:02,660 --> 01:00:06,760
Pieced together, the
crocodile measures 15 feet long.
1163
01:00:08,127 --> 01:00:11,794
The team has complete crocodiles
and complete turtles.
1164
01:00:11,827 --> 01:00:15,994
What they're desperate for
is a complete titanoboa.
1165
01:00:16,027 --> 01:00:18,294
But there's still no skull.
1166
01:00:19,694 --> 01:00:22,960
Finding a skull remnant
is almost impossible.
1167
01:00:22,994 --> 01:00:25,560
They're fragile shards
that have disintegrated
1168
01:00:25,594 --> 01:00:27,327
over the millions of years.
1169
01:00:28,660 --> 01:00:31,060
To give the team
the best possible chance,
1170
01:00:31,094 --> 01:00:33,994
Jason head, their expert
in extinct snakes,
1171
01:00:34,027 --> 01:00:37,027
makes his first visit to Cerrejon.
1172
01:00:37,060 --> 01:00:38,727
Head: Now, of course, we don't
really have a lot of skulls
1173
01:00:38,760 --> 01:00:40,827
for the fossil record of snakes,
'cause they're very light,
1174
01:00:40,860 --> 01:00:43,327
and they break apart
after the animal has died.
1175
01:00:43,360 --> 01:00:45,860
Even though
they haven't found a skull,
1176
01:00:45,894 --> 01:00:48,027
each time they return to the mine,
1177
01:00:48,060 --> 01:00:52,660
the team does discover more and
more evidence of titanoboa.
1178
01:00:53,727 --> 01:00:56,994
One find is extraordinarily intact.
1179
01:00:57,027 --> 01:00:59,327
This is a really
incredible specimen.
1180
01:00:59,360 --> 01:01:02,127
This snake, when it died,
1181
01:01:02,160 --> 01:01:06,694
was roughly angled so that the
front of the animal was here,
1182
01:01:06,727 --> 01:01:08,927
probably coming around
1183
01:01:08,960 --> 01:01:12,694
and going all the way around
1184
01:01:12,727 --> 01:01:17,294
and then coming back
toward the tail here.
1185
01:01:17,327 --> 01:01:20,060
Bloch: How big do you think
this snake was, about?
1186
01:01:20,094 --> 01:01:21,760
We're probably
looking at a skull,
1187
01:01:21,794 --> 01:01:22,927
based on the relationship
1188
01:01:22,960 --> 01:01:24,694
between skull size to body length
1189
01:01:24,727 --> 01:01:25,927
in living boas and pythons,
1190
01:01:25,960 --> 01:01:28,260
of about this long from
the tip of the snout
1191
01:01:28,294 --> 01:01:29,727
to the back of the skull.
1192
01:01:29,760 --> 01:01:31,260
That's the size of
a lot of the crocodiles
1193
01:01:31,294 --> 01:01:32,194
we get out of here.
1194
01:01:32,227 --> 01:01:32,760
That's right.
1195
01:01:32,794 --> 01:01:34,260
This is a big animal,
1196
01:01:34,294 --> 01:01:37,360
this is the largest animal
in the ecosystem.
1197
01:01:37,394 --> 01:01:40,727
Despite this great
spread of ribs and vertebrae,
1198
01:01:40,760 --> 01:01:43,560
no skull is found.
1199
01:01:43,594 --> 01:01:45,160
Finally back here...
1200
01:01:45,194 --> 01:01:48,294
But the size of this
fossil snake raises the question
1201
01:01:48,327 --> 01:01:52,894
of why some titanoboa seem to be
so much bigger than others.
1202
01:01:59,294 --> 01:02:03,894
The answer to that lies here
in the Venezuelan llanos.
1203
01:02:06,760 --> 01:02:08,827
Jesus Rivas has stumbled on something
1204
01:02:08,860 --> 01:02:12,227
that's rare for humans
to catch sight of.
1205
01:02:12,260 --> 01:02:14,360
Right here,
this is a small anaconda,
1206
01:02:14,394 --> 01:02:16,060
it's a male-sized anaconda.
1207
01:02:16,094 --> 01:02:20,127
And it's wrapped around something.
1208
01:02:20,160 --> 01:02:24,227
At least one male, could be two,
but hard to tell for now.
1209
01:02:24,260 --> 01:02:29,660
And the female's body is
definitely in that direction.
1210
01:02:29,694 --> 01:02:30,994
So then I dig it out.
1211
01:02:31,027 --> 01:02:33,760
Yeah, that is the female's body
for sure.
1212
01:02:38,627 --> 01:02:40,294
And that is a third.
1213
01:02:40,327 --> 01:02:41,660
Don't bite me, please.
1214
01:02:41,694 --> 01:02:43,894
This is a mating ball,
1215
01:02:43,927 --> 01:02:47,660
several male anacondas
wrapped around a female.
1216
01:02:52,727 --> 01:02:55,694
The males are competing
to mate with her.
1217
01:02:55,727 --> 01:02:57,794
Only one will succeed.
1218
01:02:57,827 --> 01:02:59,527
He's leaving.
1219
01:03:01,760 --> 01:03:03,627
Two boys.
1220
01:03:03,660 --> 01:03:07,227
Second boy is here.
1221
01:03:07,260 --> 01:03:09,094
There's a third boy.
1222
01:03:10,927 --> 01:03:12,627
Not surprisingly,
1223
01:03:12,660 --> 01:03:16,794
the male anacondas are angry
at being pulled off the female.
1224
01:03:16,827 --> 01:03:18,194
Oh, there you go.
1225
01:03:18,227 --> 01:03:20,594
Grab it, grab you, it doesn't matter.
1226
01:03:21,327 --> 01:03:23,727
She was tagged.
1227
01:03:26,860 --> 01:03:28,127
Oh, beautiful, look.
1228
01:03:28,160 --> 01:03:32,727
I need to see the head,
which is somewhere here.
1229
01:03:32,760 --> 01:03:35,627
Now she's backing up.
1230
01:03:35,660 --> 01:03:36,727
Coochie, coochie, coochie.
1231
01:03:36,760 --> 01:03:39,294
Okay, got you.
1232
01:03:39,327 --> 01:03:41,027
Oh, she's a big one! Woo!
1233
01:03:41,060 --> 01:03:43,727
This anaconda
is 15 feet long,
1234
01:03:43,760 --> 01:03:46,594
a huge snake in today's world.
1235
01:03:48,227 --> 01:03:50,927
Okay.
1236
01:03:50,960 --> 01:03:54,660
The reason for
the snake's size is simple.
1237
01:03:54,694 --> 01:03:55,794
She's female.
1238
01:03:55,827 --> 01:03:58,960
She had four males with her.
1239
01:03:58,994 --> 01:04:02,260
You can see the difference in size,
1240
01:04:02,294 --> 01:04:05,660
how much smaller the males are.
1241
01:04:05,694 --> 01:04:07,360
Based on
living anacondas,
1242
01:04:07,394 --> 01:04:10,194
it is likely that
in the lost world of Cerrejon,
1243
01:04:10,227 --> 01:04:14,360
the female titanoboa is also
bigger and deadlier
1244
01:04:14,394 --> 01:04:16,694
than the male.
1245
01:04:16,727 --> 01:04:21,227
Males avoid females most of
the year for very good reason.
1246
01:04:21,260 --> 01:04:24,927
They're in danger of
being eaten by them.
1247
01:04:24,960 --> 01:04:26,594
But in the mating season,
1248
01:04:26,627 --> 01:04:30,260
chemical signals in the water
show it's safe to approach.
1249
01:04:32,127 --> 01:04:35,594
And then, the fight is among the males.
1250
01:04:38,160 --> 01:04:40,194
The wrestling can last for weeks,
1251
01:04:40,227 --> 01:04:43,627
as the males try to
push each other aside.
1252
01:04:46,260 --> 01:04:50,660
Until, finally, one manages to mate.
1253
01:04:51,894 --> 01:04:53,760
The pregnant female breaks off,
1254
01:04:53,794 --> 01:04:57,294
her young now growing inside her.
1255
01:04:57,327 --> 01:04:58,894
She's stored enough food in her body
1256
01:04:58,927 --> 01:05:02,627
to survive the seven months
of pregnancy.
1257
01:05:02,660 --> 01:05:05,927
She won't eat again
until she's given birth.
1258
01:05:10,594 --> 01:05:13,894
In the autopsy lab at
Indiana university, Bloomington,
1259
01:05:13,927 --> 01:05:17,560
grad student Beth Reinke shows
the huge number of eggs
1260
01:05:17,594 --> 01:05:20,260
a female python carries.
1261
01:05:20,294 --> 01:05:21,894
Beth Reinke: These are all eggs.
1262
01:05:21,927 --> 01:05:26,694
I see 29, 30 right now, 31, 32.
1263
01:05:26,727 --> 01:05:28,260
In the female titanoboa,
1264
01:05:28,294 --> 01:05:31,660
there may be as many as 100 offspring.
1265
01:05:33,027 --> 01:05:36,860
After seven months,
she's ready to give birth.
1266
01:05:36,894 --> 01:05:39,127
Head: The baby snakes are in
a little, tiny shell membrane,
1267
01:05:39,160 --> 01:05:40,260
they punch through that,
1268
01:05:40,294 --> 01:05:42,094
and then they actually leave the mother,
1269
01:05:42,127 --> 01:05:46,594
in a way that's very similar to
modern birth in most mammals.
1270
01:05:46,627 --> 01:05:49,927
Titanoboa is likely
to give birth in the water,
1271
01:05:49,960 --> 01:05:53,260
but may sometimes do so on land.
1272
01:05:53,294 --> 01:05:57,027
The babies are already over
three feet long at birth,
1273
01:05:57,060 --> 01:05:59,894
as big as some modern snake adults.
1274
01:05:59,927 --> 01:06:02,294
Their size will be
their only protection.
1275
01:06:02,327 --> 01:06:03,994
Once the babies hatch,
1276
01:06:04,027 --> 01:06:06,594
they're pretty good in terms
of taking care of themselves.
1277
01:06:06,627 --> 01:06:08,860
They're fully functional,
they're able to hunt,
1278
01:06:08,894 --> 01:06:10,660
they're able to move around.
1279
01:06:10,694 --> 01:06:11,994
All their senses are fully developed.
1280
01:06:12,027 --> 01:06:14,160
So they're pretty good to go.
1281
01:06:14,194 --> 01:06:17,960
Female Titanoboas
do not mother their children.
1282
01:06:17,994 --> 01:06:19,794
The only attention they pay them
1283
01:06:19,827 --> 01:06:22,727
is to eat any that don't survive birth.
1284
01:06:26,094 --> 01:06:28,660
After abandoning the newborns,
1285
01:06:28,694 --> 01:06:31,894
the mother titanoboa heads off
in search of prey
1286
01:06:31,927 --> 01:06:34,327
to relieve a hunger grown ferocious
1287
01:06:34,360 --> 01:06:36,960
from seven months without food.
1288
01:06:40,660 --> 01:06:44,960
The giant fossil at Cerrejon
could be one of those females,
1289
01:06:44,994 --> 01:06:48,727
but the skull still
eludes the searchers.
1290
01:06:48,760 --> 01:06:51,327
Head: If we are gonna find one,
it should be over here.
1291
01:06:51,360 --> 01:06:53,694
Maybe we should think about
searching off in this way,
1292
01:06:53,727 --> 01:06:54,994
excavating more of the hill.
1293
01:06:55,027 --> 01:06:56,127
All we can do is look.
1294
01:06:56,160 --> 01:06:58,294
That's right, let's do it.
1295
01:07:09,360 --> 01:07:11,727
Looking for fossils
can be a little bit
1296
01:07:11,760 --> 01:07:14,060
like searching for
a needle in a haystack.
1297
01:07:14,094 --> 01:07:15,227
If there's going to be a skull,
1298
01:07:15,260 --> 01:07:17,627
it should be over here somewhere.
1299
01:07:24,827 --> 01:07:26,960
Finally,
with time running out
1300
01:07:26,994 --> 01:07:28,260
and the ever present threat
1301
01:07:28,294 --> 01:07:30,794
of the mine's need to resume digging,
1302
01:07:30,827 --> 01:07:34,160
a Colombian grad student strikes gold.
1303
01:07:37,294 --> 01:07:40,694
Not one, but three skull bones.
1304
01:07:42,394 --> 01:07:43,894
This is
a once-in-a-lifetime discovery,
1305
01:07:43,927 --> 01:07:46,627
really, this is just amazing.
1306
01:07:46,660 --> 01:07:48,560
For somebody who has
gone around the world
1307
01:07:48,594 --> 01:07:49,927
and picked up vertebrae,
1308
01:07:49,960 --> 01:07:51,660
to actually pick up pieces of the skull
1309
01:07:51,694 --> 01:07:57,360
is an absolutely unique and
unbelievable experience,
1310
01:07:57,394 --> 01:07:59,194
it's almost indescribable.
1311
01:08:01,627 --> 01:08:04,560
Those three bones include
parts of the lower jaw,
1312
01:08:04,594 --> 01:08:05,994
and you can see right here,
1313
01:08:06,027 --> 01:08:08,594
these are the tooth positions
where teeth would have been
1314
01:08:08,627 --> 01:08:10,560
when the animal was alive.
1315
01:08:10,594 --> 01:08:12,694
And this is actually
a bone of the jaw joint.
1316
01:08:12,727 --> 01:08:14,194
This is the back of the skull,
1317
01:08:14,227 --> 01:08:16,727
and right here is where the lower jaw
1318
01:08:16,760 --> 01:08:19,060
actually connects with the upper jaw.
1319
01:08:19,094 --> 01:08:20,727
So up here on us.
1320
01:08:20,760 --> 01:08:22,294
From these three bones,
1321
01:08:22,327 --> 01:08:25,627
we can make inferences about
its ecology, where it lived,
1322
01:08:25,660 --> 01:08:28,960
what it ate, how it behaved,
how it reproduced,
1323
01:08:28,994 --> 01:08:32,127
all of the aspects of its life history.
1324
01:08:32,160 --> 01:08:35,094
The precious skull
fragments are carefully packed up
1325
01:08:35,127 --> 01:08:38,094
and flown back to the museum
for analysis.
1326
01:08:39,727 --> 01:08:44,660
They are the clue to exactly
how and what titanoboa ate.
1327
01:08:44,694 --> 01:08:45,694
Turn that around.
1328
01:08:45,727 --> 01:08:47,260
This piece of the jaw of titanoboa
1329
01:08:47,294 --> 01:08:50,060
corresponds to that part of
the jaw in a living snake.
1330
01:08:50,094 --> 01:08:51,960
Bloch: Wow, look at that,
yeah, right.
1331
01:08:51,994 --> 01:08:53,827
Jon and Jason
fit the bone fragments
1332
01:08:53,860 --> 01:08:55,660
to positions on the skull.
1333
01:08:55,694 --> 01:08:58,227
Titanoboa's head begins to take shape.
1334
01:08:58,260 --> 01:08:59,627
Great, so that would be...
1335
01:08:59,660 --> 01:09:00,594
Boy, look at that.
1336
01:09:00,627 --> 01:09:03,294
So this jaw would have been,
1337
01:09:03,327 --> 01:09:05,027
there would have been
a little bit more on the front.
1338
01:09:05,060 --> 01:09:06,627
The skull of this animal
would be about that long.
1339
01:09:06,660 --> 01:09:08,694
Fantastic, and we have
some other pieces here, too.
1340
01:09:08,727 --> 01:09:10,060
Even more important
1341
01:09:10,094 --> 01:09:12,594
than the huge size of titanoboa's head,
1342
01:09:12,627 --> 01:09:16,660
is how wide it can open its mouth.
1343
01:09:16,694 --> 01:09:19,660
Its gape determines what it can eat.
1344
01:09:19,694 --> 01:09:21,594
They have these
very long lower jaws,
1345
01:09:21,627 --> 01:09:24,994
with the jaw joint suspended far
behind the back of the skull.
1346
01:09:25,027 --> 01:09:27,327
So when they open their mouths,
this jaw swings down
1347
01:09:27,360 --> 01:09:30,127
and gives them a very,
very, very wide gape.
1348
01:09:30,160 --> 01:09:30,827
Okay.
1349
01:09:30,860 --> 01:09:32,094
And then it would have swung,
1350
01:09:32,127 --> 01:09:33,160
basically, at the back of the jaw.
1351
01:09:33,194 --> 01:09:34,227
Exactly.
1352
01:09:34,260 --> 01:09:36,960
Bloch: It would have swung down.
Boy, look at that.
1353
01:09:36,994 --> 01:09:38,160
So how big?
1354
01:09:38,194 --> 01:09:40,127
It would have had a gape,
probably about like that.
1355
01:09:40,160 --> 01:09:40,994
At least, right?
1356
01:09:41,027 --> 01:09:42,660
Yeah.
Bloch: Yeah.
1357
01:09:42,694 --> 01:09:44,694
Now also the lower jaws
are actually separate,
1358
01:09:44,727 --> 01:09:47,194
so that when the lower jaws
open, when this swings down,
1359
01:09:47,227 --> 01:09:48,594
the lower jaws will actually spread
1360
01:09:48,627 --> 01:09:50,160
wide apart from each other.
1361
01:09:50,194 --> 01:09:53,560
So titanoboa could have
had a gape that wide.
1362
01:09:53,594 --> 01:09:58,627
Even modern snakes display
appetites that defy belief.
1363
01:09:58,660 --> 01:10:01,560
In the everglades,
a large python once swallowed
1364
01:10:01,594 --> 01:10:04,227
an alligator as big as itself.
1365
01:10:04,260 --> 01:10:06,794
It didn't end well for either of them.
1366
01:10:06,827 --> 01:10:09,827
The snake exploded.
1367
01:10:09,860 --> 01:10:13,327
But prey like that
was easy meat for titanoboa.
1368
01:10:18,894 --> 01:10:22,227
In ancient Cerrejon,
there were monster meals
1369
01:10:22,260 --> 01:10:24,194
for a monster appetite.
1370
01:10:24,227 --> 01:10:27,194
The biggest lungfish, at 10 feet long,
1371
01:10:27,227 --> 01:10:30,594
a nice little entree.
1372
01:10:30,627 --> 01:10:34,760
The crocodiles,
15 feet long and powerful.
1373
01:10:34,794 --> 01:10:37,960
Satisfying as the main course.
1374
01:10:37,994 --> 01:10:40,560
Perhaps only one animal
would have been too big
1375
01:10:40,594 --> 01:10:43,594
for even titanoboa to consume...
1376
01:10:43,627 --> 01:10:46,227
The giant adult turtle.
1377
01:10:46,260 --> 01:10:48,594
They've got
really thick shells,
1378
01:10:48,627 --> 01:10:52,594
and that means a lot of bone
for a snake to get, digest.
1379
01:10:52,627 --> 01:10:56,594
So it's really not a good idea
for a snake to get something
1380
01:10:56,627 --> 01:10:59,694
that is gonna stay in
your stomach for so long,
1381
01:10:59,727 --> 01:11:02,127
because it has so much bone on it.
1382
01:11:02,160 --> 01:11:04,860
So, for the largest turtles at Cerrejon,
1383
01:11:04,894 --> 01:11:07,094
they had so many chances to survive,
1384
01:11:07,127 --> 01:11:10,327
because the snakes probably
preferred to eat crocodiles
1385
01:11:10,360 --> 01:11:13,927
or other small animals.
1386
01:11:13,960 --> 01:11:16,294
Titanoboa's ability
to swallow prey
1387
01:11:16,327 --> 01:11:20,060
so much bulkier than itself
is extraordinary,
1388
01:11:20,094 --> 01:11:24,160
and its solution,
the same as for all snakes.
1389
01:11:24,194 --> 01:11:26,860
Once they're sort of
sensing that the prey's dead,
1390
01:11:26,894 --> 01:11:29,594
and they sort of figure out
where the head of the prey is,
1391
01:11:29,627 --> 01:11:32,227
and then they start to eat the prey.
1392
01:11:32,260 --> 01:11:33,827
Snakes, obviously, are not like people.
1393
01:11:33,860 --> 01:11:35,194
They don't have hands
1394
01:11:35,227 --> 01:11:37,660
that they can shovel food
down their throat.
1395
01:11:37,694 --> 01:11:40,694
They've got a left and a right jawbone.
1396
01:11:40,727 --> 01:11:42,760
So that degree of flexibility
1397
01:11:42,794 --> 01:11:45,594
enables them to eat much larger prey.
1398
01:11:45,627 --> 01:11:51,094
So they can almost walk their
jawbones across their prey.
1399
01:11:51,127 --> 01:11:54,927
And if you imagine a combination
of muscle contractions,
109615
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