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A horrifying,
blood-sucking beast
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is terrorizing Appalachia.
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A canine like body...
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It's like a wolf or a coyote,
but it's bigger.
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...with razor-sharp teeth.
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So is there anything other
than the vampire bat
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that would suck blood
out of this animal?
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Locals believe
it could be the chupacabra
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first encountered
in the southwest 35 years ago.
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As soon as we see it,
it's gone.
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Recent sightings
are further east than ever before.
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They're continuing to breed
and flow up here.
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God, that thing was fast.
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Can
one scientist's archive hold the clues
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to solving this mystery?
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Our next guest tonight
is one of the world's leading naturalists,
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and he's been
accumulating material for some 30 years.
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In the mid-20th century,
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scientist Ivan Sanderson,
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set out to separate fact
from fiction.
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He investigated hundreds
of frightening encounters
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with unexplained creatures
around the world.
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There seemed to be
a lot of these creatures on our continent,
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in South America and Africa,
and all of Eurasia.
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As the founder
of cryptozoology,
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he built
the most extensive archive
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of unclassified creatures
on Earth.
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But following his death
in the 1970s,
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that archive disappeared...
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until now.
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Armed with modern tech
and Sanderson's lost research...
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We need to take this
and compare it to what's in the archives.
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...a team
of experts will reinvestigate his unexplained cases
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using
up-to-the-minute research, and predator expertise.
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I've never seen
wildlife do this.
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There's nothing like that
that should be doing that here.
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Holy!
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Can Sanderson's files lead to an incredible new insight
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and take another creature
from myth...
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Did you see that?
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...to reality?
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Everything is here
from the origin of cryptozoology.
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My name is Charlie Mewshaw.
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I have multiple degrees
in science and tech.
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My passion for cryptozoology
is a lifelong study.
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And I use modern technology
to discover things that just weren't possible in the past.
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Physical specimens here...
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Yeah, we've got castings.
We've got skulls, bones.
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That's the
Gigantopithecus skull.
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00:02:30,150 --> 00:02:32,819
I'm Brittany Barbieri,
and I'm a cryptozoologist.
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I believe
that there are hidden animals
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that have
not been discovered yet.
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We have the Komodo dragon,
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we have the snub-nosed monkey
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and even the giant squid.
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Something that was just a myth
is now a fact.
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This is years and years
of work.
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Sanderson
was absolutely brilliant.
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He was a zoologist,
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the first to bring
real science to the hunt for cryptids.
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This is unbelievable.
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Nobody has access to this.
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He spent
five decades
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proving and disproving
the existence of creatures.
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But he has files
on hundreds of cases that were never solved.
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That's where we come in.
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Once Brittany and I
got access to the archive,
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we spent weeks
combing through the binders.
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We're gonna find some
of Sanderson's biggest files,
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and we're gonna carry
that investigation forward.
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Hold on, Charlie.
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I got a call from a farmer.
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- He's in North Carolina.
- Okay.
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We literally have a carcass
to go examine.
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He doesn't understand
how his animal died,
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but it's been drained
of blood.
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And there's been other farmers
in the area that are seeing things,
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and this is happening
to the livestock as well.
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This isn't just one account,
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and it honestly sounds
a lot like a chupacabra.
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The chupacabra
was first discovered
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in Puerto Rico in 1995
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as a bat-like creature
that mutilated livestock.
84
00:04:03,743 --> 00:04:06,746
But in North America,
its name is synonymous
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with a strange canine
known for nocturnal hunting
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and draining
its victim's blood.
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- So North Carolina?
- Yes.
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- My backyard?
- Yes.
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- We have all kinds of legends.
- I know.
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We do not have chupacabra.
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00:04:20,510 --> 00:04:22,512
And Sanderson was actually,
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00:04:22,595 --> 00:04:26,683
long before the word
chupacabra was ever coined or, like entered pop culture
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was looking
into hybrid canines
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as a source
of cattle mutilations.
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So he was looking
at different species
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because this is a dire wolf.
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And then
this is the canine genus, so-called dog genus.
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The dire wolf
is not merely a wolf.
99
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It is a monster
that roamed North America
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00:04:47,912 --> 00:04:49,456
for tens of thousands
of years,
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with jaws that could demolish
the ten-ton long tusk mastodon
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with evidence of its straying
in the Ozarks nearly 4,000 years ago.
103
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I suspect there is a chance
this terrible dog interbred
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with other canines
and continues to stalk us like its prey.
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00:05:07,432 --> 00:05:09,601
I mean, obviously,
Ivan was trying to figure out
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00:05:09,642 --> 00:05:13,188
the same thing at his time,
and it's still happening now.
107
00:05:13,271 --> 00:05:15,106
But what is it that
we're dealing with?
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00:05:15,148 --> 00:05:18,568
And the fact that we have
an actual physical body to examine,
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I might be able
to cross reference
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our research
to Sanderson's files.
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00:05:22,655 --> 00:05:26,868
That actually reminds me
a big story that broke,
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you know, in 2007,
out of Texas
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was labeled the chupacabra.
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- Right.
- The body was taxidermied
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by a scientist
named Phyllis Canion.
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And it was a canine.
117
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I wanna go to Texas.
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I'd like to take a 3D scan
of the specimen
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and then compare that
to the skull
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from Sanderson's research.
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So if I get to the farm
and I have the body,
122
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we can line it up
with whatever you find out in Texas
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00:05:49,182 --> 00:05:50,767
and see if we're dealing
with the same thing
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or if it's a completely
different animal altogether.
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These files give us
an opportunity to see
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right into Ivan Sanderson's
frame of mind.
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So we're going to try
to use his methods
128
00:06:01,861 --> 00:06:05,865
and finally document
a new and deadly species.
129
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We'll measure
the gathered evidence
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00:06:07,283 --> 00:06:09,536
against
his classification index.
131
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That will help us determine
if this creature
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is a known animal species,
a Lazarus species,
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something formerly thought
to be extinct
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or is an entirely
new species altogether.
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00:06:20,296 --> 00:06:23,466
I'll head to Texas
to examine the taxidermied specimen.
136
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Meanwhile, Brittany will head
to Alexander, North Carolina,
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where there's been
recent sightings and livestock mutilations.
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Our job is to make
as much of the unknown known.
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And finally document proof
of this elusive creature.
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The Appalachian Mountains are the intersection
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of two of the largest towns
in North America.
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With large expanses
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of the treacherous landscape,
uh, unexplored,
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I'd say
the possible and improbable are lurking in the wilderness.
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Ivan Sanderson
in his files,
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he was looking at reports
of hybrid dogs,
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and he was looking
into these weird, strange accounts
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way before chupacabra
was even coined.
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Twenty miles
out of Alexander, North Carolina,
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Brittany, along
with predator expert Troy Lillie,
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and tracking expert,
Justin Igualada,
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head to a farm
that's been the site of recent attacks.
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The farm is located
on the Blue Ridge Mountains,
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a 615-mile highlands
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that's a piece
of the larger Appalachian mountain range.
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The region is home
to numerous predators,
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including black bears
and coyote.
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Whatever
is killing these animals, it isn't eating them.
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It's just biting their necks
and draining their blood.
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Like, main, two large holes
in the neck.
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Also, we have
to take into consideration
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there's a lot of predators
out here.
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You know, you also have
venomous snakes
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and venomous snakes
can really put you down.
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Troy is my older brother.
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He's extremely skilled
as an animal behavioralist
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when it comes to cryptids.
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He's one of those guys
that he has to see it to believe it.
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My name is Troy Lillie,
and I'm an animal behaviorist
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with over 30 years
of experience with wildlife,
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from hoof stock
to large apex predators.
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Spider monkey.
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Every living thing
is a cryptid if it hasn't been seen yet.
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Our job is to come out here
and isolate everything
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that it could be
before we jump to that conclusion.
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If it's a nasty bite,
what's gonna happen is if you get bit on the neck,
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for one,
that's an extra vital organs.
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If it hits the jugular...
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...it doesn't take much.
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My name is Justin Igualada.
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A lot of people
call me Biteforce.
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I've been working
with wildlife since I was a child.
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I've tracked and captured alligators,
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crocodiles, cougars,
leopards, jags.
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I've got missing body parts.
Accidents can happen.
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It's not a matter of "if,"
it's when.
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And it's how you handle it.
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I think
that's our guy right there.
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Brittany,
Troy and Justin meet with a local farmer
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00:09:03,835 --> 00:09:06,588
who's had
some strange animal deaths on his property.
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We have to walk away
from this with as much evidence as possible
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for our best chance
of being able to document whatever this creature is.
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- Hey.
- Hey, how you doing?
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- Good.
- Nice to meet you, Jeff. I'm Brittany.
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- Hi, Brittany.
- Pleasure to meet you.
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- Nice to meet you.
- Nice to meet you. Troy.
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My name is Jeff. I'm a farmer.
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00:09:23,480 --> 00:09:25,899
I raise cattle and hay.
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00:09:26,566 --> 00:09:28,443
I got 65 acres.
200
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There ain't no telling
what's out here.
201
00:09:29,736 --> 00:09:31,654
But I know that
something's out here
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because it's getting
after my animals.
203
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I came out here one morning
to feed,
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and I found
a 1,000-pound cow here in my cow enclosure
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with two puncture wounds
on her neck.
206
00:09:46,169 --> 00:09:47,796
So where exactly
was she sitting?
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00:09:47,879 --> 00:09:49,255
Was she, like,
behind the wall?
208
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She's about 20 feet
from this wall right here
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in between them two posts
just laying on that ground.
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It's deader than hell.
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And you looked it over,
no mutilation, no blood, nothing?
212
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- Nope.
- And no disease, right?
213
00:10:01,518 --> 00:10:02,769
Didn't affect
any of the other cattle.
214
00:10:02,852 --> 00:10:05,021
I mean, you figure
if it was disease, they'd start falling off?
215
00:10:05,105 --> 00:10:06,314
Absolutely.
216
00:10:06,398 --> 00:10:08,358
So,
after talking to Jeff, he said that he's had
217
00:10:08,441 --> 00:10:10,735
three separate incidences
where he's found dead animals.
218
00:10:10,777 --> 00:10:12,362
Could that be coincidence?
219
00:10:12,445 --> 00:10:13,947
Absolutely.
Could it be a trend?
220
00:10:14,030 --> 00:10:15,615
Once we put some signs to it,
221
00:10:15,699 --> 00:10:18,243
we can verify to really know
what's going on.
222
00:10:18,284 --> 00:10:20,036
Down over there,
I don't know if you guys
223
00:10:20,120 --> 00:10:21,746
can see that tree line
over there, past those power lines.
224
00:10:21,788 --> 00:10:22,664
- Yeah.
- I do.
225
00:10:22,747 --> 00:10:24,457
I found
a dead deer down there,
226
00:10:24,541 --> 00:10:27,794
and it had
the same markings on it as my cow.
227
00:10:28,628 --> 00:10:29,963
Of course, that's two.
228
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This is my pigpen.
229
00:10:35,885 --> 00:10:37,053
But I come out here.
230
00:10:37,762 --> 00:10:38,972
And look what I found.
231
00:10:41,141 --> 00:10:43,309
Oh, my God.
232
00:10:43,393 --> 00:10:45,228
- Poor little buddy.
- Oh, man.
233
00:10:45,311 --> 00:10:46,646
When we're looking
at a case like this,
234
00:10:46,730 --> 00:10:50,108
something that really
baffles the mind is an abandoned kill.
235
00:10:50,150 --> 00:10:52,902
Normally, when a predator
kills something, it's to eat it.
236
00:10:52,986 --> 00:10:54,070
They're doing that
for a purpose.
237
00:10:54,154 --> 00:10:55,947
They're wasting
a lot of energy to do that,
238
00:10:55,989 --> 00:10:57,782
and they're gonna do that
to get more energy
239
00:10:57,824 --> 00:10:59,576
by consuming the food
that they need.
240
00:10:59,659 --> 00:11:01,870
So for something
to just leave the kill there,
241
00:11:01,953 --> 00:11:03,830
it leaves this big mystery
of why.
242
00:11:03,913 --> 00:11:06,708
Has the goat been in here
the whole time, too?
243
00:11:06,791 --> 00:11:09,586
Yeah, that's Penny.
We don't eat Penny.
244
00:11:12,505 --> 00:11:14,341
What we're gonna do
is we're gonna look at the whole area.
245
00:11:14,424 --> 00:11:15,800
We're gonna find out
what possibly killed it.
246
00:11:15,842 --> 00:11:18,720
Whether that'd be footprints,
tracks, hair,
247
00:11:18,803 --> 00:11:20,013
any of that type
of stuff first,
248
00:11:20,096 --> 00:11:22,349
that's a good indicator
of what did happen.
249
00:11:23,266 --> 00:11:25,060
But I don't see
any tracks.
250
00:11:25,143 --> 00:11:27,103
Bear prints would be
very relevant in here.
251
00:11:28,938 --> 00:11:31,274
There's just parts of it
that doesn't make any sense logically.
252
00:11:31,358 --> 00:11:34,361
But there is one thing
I just don't see, and that's blood.
253
00:11:35,028 --> 00:11:36,905
So...
254
00:11:36,988 --> 00:11:40,825
Guys, would you start looking
at the pig? - Yeah.
255
00:11:40,867 --> 00:11:42,369
Can you look
and see
256
00:11:42,452 --> 00:11:45,413
what kind of the bite wounds
it may or may not have?
257
00:11:45,497 --> 00:11:47,415
And then I'm gonna talk
to Jeff and get a little more information
258
00:11:47,499 --> 00:11:51,002
on what he remembers seeing
when we talked about encounters he had.
259
00:11:56,341 --> 00:11:58,593
I feel like going
in the shade and maybe grabbing a seat.
260
00:11:58,677 --> 00:12:00,887
- All right, cool.
- Yeah, absolutely.
261
00:12:00,970 --> 00:12:04,474
So a lot of times
when I'm investigating and I'm interviewing somebody,
262
00:12:04,557 --> 00:12:08,019
it's really important
that I hear their account.
263
00:12:08,061 --> 00:12:10,230
This
is a little dusty. - Nah, I don't-- No.
264
00:12:10,313 --> 00:12:11,564
- Are you sure?
- Totally fine. Yep.
265
00:12:13,983 --> 00:12:16,361
Sanderson's files
helped guide me.
266
00:12:16,403 --> 00:12:18,613
I loved
his investigative tactics
267
00:12:18,697 --> 00:12:20,532
because he did
his own sketches, much like myself.
268
00:12:22,992 --> 00:12:24,202
So I just wanna get
more details,
269
00:12:24,244 --> 00:12:26,204
as much as you can remember.
270
00:12:27,205 --> 00:12:29,416
I was up on the hill
watching the sunset.
271
00:12:32,669 --> 00:12:34,796
So, I mean,
it was starting to get dark.
272
00:12:34,879 --> 00:12:38,341
But I can see something
273
00:12:38,425 --> 00:12:41,344
on the backside of that hill
against the tree line.
274
00:12:41,428 --> 00:12:42,387
I could see something moving.
275
00:12:44,347 --> 00:12:45,849
And at first I thought
it was a coyote.
276
00:12:46,850 --> 00:12:47,767
But it was bigger.
277
00:12:48,435 --> 00:12:49,728
It was bigger.
278
00:12:49,769 --> 00:12:52,439
It was thicker. Its head
and its nose were bigger.
279
00:12:53,523 --> 00:12:55,608
I thought-- I thought,
"Man, that wasn't a coyote.
280
00:12:55,692 --> 00:12:57,902
That must've been a wolf."
But there ain't no wolves around here.
281
00:12:57,944 --> 00:12:59,612
- Right.
- It hasn't been for over 100 years.
282
00:12:59,696 --> 00:13:00,613
Mm-hmm.
283
00:13:00,697 --> 00:13:02,574
But what really got me
was the green eyes.
284
00:13:04,117 --> 00:13:07,120
I didn't have a light
where it could be reflecting off its eyes.
285
00:13:07,203 --> 00:13:09,956
It was like its eyes
was glowing on their own.
286
00:13:11,041 --> 00:13:12,125
And the body color?
287
00:13:12,208 --> 00:13:14,294
But like I said it was,
it was dark outside,
288
00:13:14,377 --> 00:13:16,921
but it definitely
wasn't tan like a coyote. - Yeah.
289
00:13:16,963 --> 00:13:20,550
It was a real dark,
like real dark gray, almost black.
290
00:13:20,633 --> 00:13:22,135
Did it look like
it had hair on it?
291
00:13:22,218 --> 00:13:23,636
Or did it look more skin-like?
292
00:13:25,096 --> 00:13:27,724
It was almost like
it was kind of mangy-looking.
293
00:13:27,807 --> 00:13:30,101
Okay. I'm gonna show you
what I sketched.
294
00:13:30,143 --> 00:13:32,145
And you tell me
if this matches what you've seen.
295
00:13:36,274 --> 00:13:38,234
- Whoa.
- Is that similar?
296
00:13:38,318 --> 00:13:39,569
That's real similar.
297
00:13:41,446 --> 00:13:42,947
Looking him
in the eyes,
298
00:13:42,989 --> 00:13:47,285
I firmly believe
that he did see something out of place
299
00:13:47,327 --> 00:13:49,579
for what he knows
for his farm.
300
00:13:49,662 --> 00:13:53,124
I want nothing more
than to discover the chupacabra.
301
00:13:53,166 --> 00:13:56,586
But have you talked
about your account with anybody else in the area?
302
00:13:56,670 --> 00:13:58,713
Any of the other buddies
that are farmers around here?
303
00:13:58,797 --> 00:14:02,050
The same thing has happened
to at least two or three farmers.
304
00:14:02,133 --> 00:14:04,844
Do you think
I could talk to any of them? Would they be willing to talk?
305
00:14:04,928 --> 00:14:08,390
I'm pretty sure that if a girl
with blond hair bought 'em a beer,
306
00:14:08,473 --> 00:14:11,434
they might tell you
about a chupacabra or two. -
307
00:14:11,518 --> 00:14:12,852
They probably would.
308
00:14:15,146 --> 00:14:16,439
Let's get it up
on the table.
309
00:14:17,148 --> 00:14:18,441
I'm sorry, dude.
310
00:14:19,484 --> 00:14:21,945
So anytime we have a death
that's mysterious,
311
00:14:22,028 --> 00:14:23,947
we'll do a necropsy.
312
00:14:24,030 --> 00:14:26,991
The same way
that you would think of an autopsy for a person.
313
00:14:27,992 --> 00:14:29,953
The coroner goes in,
they get the person.
314
00:14:30,036 --> 00:14:33,498
They cut him up to see
what the cause of death was.
315
00:14:33,540 --> 00:14:35,375
For us with the animals,
same thing.
316
00:14:35,458 --> 00:14:38,169
It's to find out
why the animal died or how it died.
317
00:14:38,211 --> 00:14:40,797
We're gonna be looking
for any punctures, damage,
318
00:14:41,506 --> 00:14:42,924
damage to the body.
319
00:14:43,008 --> 00:14:44,050
The feet look good.
320
00:14:45,218 --> 00:14:46,386
When you first see Justin,
321
00:14:46,469 --> 00:14:47,846
he looks like he's been thrown
through a meat grinder,
322
00:14:47,887 --> 00:14:49,597
and then dressed up
and sent out to the street.
323
00:14:49,681 --> 00:14:50,932
But once you really
understand him,
324
00:14:51,016 --> 00:14:52,600
Justin has talents
that are way beyond
325
00:14:52,684 --> 00:14:54,936
almost anybody I've ever met,
including a lot of vets.
326
00:14:55,020 --> 00:14:58,898
He's very talented,
from husbandry to breeding, tracking.
327
00:14:59,899 --> 00:15:02,152
His knowledge
goes really, really far.
328
00:15:02,235 --> 00:15:05,572
I mean,
there's some lacerations on the arm.
329
00:15:06,364 --> 00:15:08,575
Superficial, nothing deep.
330
00:15:10,744 --> 00:15:13,121
There's a massive laceration
here on the snout,
331
00:15:13,204 --> 00:15:15,373
so that could be
some defensive wounds right there, Troy.
332
00:15:17,584 --> 00:15:18,835
What the
is that?
333
00:15:21,212 --> 00:15:22,547
Oh.
Those are wounds.
334
00:15:22,589 --> 00:15:24,049
yeah, they are.
335
00:15:24,090 --> 00:15:25,216
That could be
a bite mark.
336
00:15:27,010 --> 00:15:28,511
Oh, right inside
of the neck, huh?
337
00:15:28,928 --> 00:15:29,929
Yeah.
338
00:15:30,013 --> 00:15:31,723
You're looking
at a 2-inch bite gap, man.
339
00:15:34,267 --> 00:15:37,228
Bottom punctures
are smaller.
340
00:15:37,270 --> 00:15:39,022
Which is indigenous
to a dog bite.
341
00:15:40,940 --> 00:15:42,525
So is there anything
other than the vampire bat
342
00:15:42,609 --> 00:15:44,444
that would suck blood
out of this animal?
343
00:15:45,403 --> 00:15:46,780
I mean,
the best way to find out,
344
00:15:46,863 --> 00:15:48,073
we're gonna
have to open this up.
345
00:15:54,037 --> 00:15:58,041
The tonsils
do look a little funky, to be honest with you.
346
00:15:59,709 --> 00:16:01,795
And that's right next
to where the bite is.
347
00:16:03,296 --> 00:16:06,925
But I am gonna take
the full tonsil.
348
00:16:06,966 --> 00:16:08,927
So normally when
you're investigating an animal that's dead,
349
00:16:08,968 --> 00:16:10,470
you want to know
if it was taken by a predator.
350
00:16:10,553 --> 00:16:12,055
Generally, they're consumed.
351
00:16:12,138 --> 00:16:13,556
And there are animals
that feed on blood.
352
00:16:13,640 --> 00:16:15,225
Mosquitoes, vampire bats.
353
00:16:15,308 --> 00:16:17,644
but they eat off the victim
while it's still alive.
354
00:16:17,727 --> 00:16:19,646
The fact that
this animal is dead
355
00:16:19,729 --> 00:16:22,524
and still fully intact
is weird.
356
00:16:22,607 --> 00:16:25,610
The mosquitoes and, like,
vampire bats, they have,
357
00:16:25,652 --> 00:16:27,028
like, I don't know
if you would call it...
358
00:16:27,112 --> 00:16:28,530
I think it would be
an analgesic.
359
00:16:28,613 --> 00:16:30,240
It's a painkiller.
It's a topical painkiller.
360
00:16:30,323 --> 00:16:31,700
I got you.
So they don't feel it.
361
00:16:31,783 --> 00:16:34,744
But this animal
clearly felt the wound,
362
00:16:34,828 --> 00:16:36,538
like there's defensive wounds
all over this animal.
363
00:16:36,621 --> 00:16:37,664
Yeah.
364
00:16:39,249 --> 00:16:41,042
The broad analysis
that I can give
365
00:16:41,126 --> 00:16:42,627
off of the necropsy.
366
00:16:42,669 --> 00:16:45,839
I can pretty much cut out
any large cat.
367
00:16:45,922 --> 00:16:48,008
Predatory cats,
when they go for the kill,
368
00:16:48,091 --> 00:16:50,802
they have surgical knives
for hands.
369
00:16:50,844 --> 00:16:53,138
They're gonna use that
to grab, subdue their prey,
370
00:16:53,179 --> 00:16:55,348
they want to kill it
as quickly as possible.
371
00:16:55,432 --> 00:16:56,766
Bear's a little bit different.
372
00:16:56,850 --> 00:16:59,227
It's using the mouth
to pull up while using the claws
373
00:16:59,310 --> 00:17:01,688
to kind of
shred the meat as it goes.
374
00:17:01,771 --> 00:17:04,274
Based off what I'm looking at,
the animal looks okay.
375
00:17:04,357 --> 00:17:06,317
The only thing we're seeing
is these bite marks.
376
00:17:07,694 --> 00:17:09,070
- Ugh.
- See the bite right there?
377
00:17:09,154 --> 00:17:10,321
And there's
another mark right there.
378
00:17:10,363 --> 00:17:11,573
Yeah, that's what
we're talking about.
379
00:17:11,656 --> 00:17:14,034
That's a bite underneath
and then two bites on top.
380
00:17:14,117 --> 00:17:16,911
What we can put in
is canines.
381
00:17:16,995 --> 00:17:19,289
I think that would be
the closest thing that I can assert
382
00:17:19,372 --> 00:17:22,334
from the information
that I have in front of me right now.
383
00:17:22,375 --> 00:17:25,253
What would you guys say is your best guess at this point?
384
00:17:25,337 --> 00:17:28,798
Best educated guess
would be like a loner coyote.
385
00:17:28,882 --> 00:17:30,800
A coyote taking out a cow
is pretty unlikely,
386
00:17:30,884 --> 00:17:32,552
- I'm just saying.
- Right.
387
00:17:32,635 --> 00:17:34,012
It didn't have
any blood everywhere,
388
00:17:34,054 --> 00:17:35,347
and there was no big prints.
389
00:17:35,388 --> 00:17:37,140
There's so many scenarios
390
00:17:37,223 --> 00:17:38,933
that we just really
don't know much about - Mmm-hmm.
391
00:17:39,017 --> 00:17:41,644
to pinpoint anything just yet.
392
00:17:41,728 --> 00:17:43,355
The whole thing's perplexing.
393
00:17:43,396 --> 00:17:46,399
With the account of his cow,
and now we got this pig.
394
00:17:46,483 --> 00:17:50,695
I mean, you're talking about
some pretty weird
395
00:17:50,737 --> 00:17:54,491
Okay, so I talked to Jeff about his encounter.
396
00:17:54,574 --> 00:17:56,534
I went ahead
and sketched what he saw,
397
00:17:56,576 --> 00:17:58,536
and basically this is
the best description
398
00:17:58,578 --> 00:18:00,872
of the image of what he saw.
399
00:18:00,914 --> 00:18:04,292
A lot of animals,
and in some cases large predators,
400
00:18:04,376 --> 00:18:07,337
will only go
to a certain proximity away from their home
401
00:18:07,420 --> 00:18:08,797
or their nesting
or their dens.
402
00:18:08,880 --> 00:18:10,590
So we aren't really sure
403
00:18:10,674 --> 00:18:12,217
what we're dealing with
at this point.
404
00:18:12,258 --> 00:18:13,885
We don't know its behavior,
405
00:18:13,927 --> 00:18:16,680
and it might stay
in a small proximity.
406
00:18:16,763 --> 00:18:17,847
He mentioned to me today that
407
00:18:17,931 --> 00:18:19,557
he has other people
in the area
408
00:18:19,599 --> 00:18:20,892
that have had
similar sightings,
409
00:18:20,934 --> 00:18:23,353
so I think it would
actually be beneficial
410
00:18:23,436 --> 00:18:26,856
if we could get
with those individuals,
411
00:18:26,940 --> 00:18:29,859
maybe locally in town,
and hear more of the reports,
412
00:18:29,943 --> 00:18:31,528
and maybe try to make
some connections
413
00:18:31,611 --> 00:18:33,071
of some type of animal
414
00:18:33,113 --> 00:18:34,656
or what animal this might be.
415
00:18:34,739 --> 00:18:36,282
Well, the more information
you get us,
416
00:18:36,366 --> 00:18:37,450
the better we can do.
417
00:18:38,743 --> 00:18:41,037
I personally want
to hear their accounts
418
00:18:41,121 --> 00:18:42,706
to make sure and confirm
419
00:18:42,789 --> 00:18:45,250
that what they're seeing
is the chupacabra.
420
00:18:50,630 --> 00:18:52,674
It's easy to forget
that the domesticated canine
421
00:18:52,757 --> 00:18:55,552
is the descendant
of many vicious predators.
422
00:18:55,635 --> 00:19:00,015
In 1854,
remnants of a dire wolf were uncovered
423
00:19:00,098 --> 00:19:02,225
from the bed
of the Ohio River.
424
00:19:02,308 --> 00:19:04,894
Uh, this is an indication
that the ancient canine
425
00:19:04,978 --> 00:19:07,814
may be in the southwestern
United States.
426
00:19:07,897 --> 00:19:10,650
Now, one could speculate that
there was abundant opportunity
427
00:19:10,734 --> 00:19:13,778
for stateside
canine inter-breeding.
428
00:19:17,157 --> 00:19:19,617
Going straight
to the source on something like this
429
00:19:19,659 --> 00:19:20,952
is super valuable.
430
00:19:20,994 --> 00:19:23,121
I agree, especially from an investigative standpoint.
431
00:19:23,163 --> 00:19:25,665
You have a body,
you have the actual witness who was there.
432
00:19:25,749 --> 00:19:27,834
It really doesn't get
any better than that.
433
00:19:27,917 --> 00:19:31,338
1,500 miles southwest of Alexander, North Carolina,
434
00:19:31,421 --> 00:19:34,924
Charlie,
along with ex-CIA agent Tracy Walder,
435
00:19:35,008 --> 00:19:37,302
approached
Dr. Phylis Canion's ranch.
436
00:19:38,303 --> 00:19:41,264
Phylis has the only specimen
of chupacabra
437
00:19:41,348 --> 00:19:42,724
that has ever been recovered.
438
00:19:42,807 --> 00:19:45,018
And I brought Tracy along
to authenticate
439
00:19:45,101 --> 00:19:46,895
Phylis and her research.
440
00:19:46,978 --> 00:19:49,814
Dr. Canion has clearly done
her homework on this.
441
00:19:49,856 --> 00:19:52,108
She biopsied the carcass
for mange,
442
00:19:52,192 --> 00:19:53,777
she took DNA samples,
443
00:19:53,860 --> 00:19:57,238
she looked at
all the possibilities of what it could be.
444
00:19:57,322 --> 00:19:59,366
Hi, Phylis.
445
00:19:59,449 --> 00:20:00,825
My name is Tracy Walder,
446
00:20:00,867 --> 00:20:02,952
I'm one of the few women
to have served
447
00:20:03,036 --> 00:20:06,456
as a CIA officer
and FBI special agent.
448
00:20:06,539 --> 00:20:09,000
I served nine tours overseas
449
00:20:09,042 --> 00:20:11,169
supporting the
counterterrorism mission.
450
00:20:11,211 --> 00:20:13,171
Having a body here
gives us the ability
451
00:20:13,213 --> 00:20:16,007
to provide basically
first-hand analysis,
452
00:20:16,049 --> 00:20:18,968
to measure it, touch it,
do our own research,
453
00:20:19,052 --> 00:20:21,513
and in all honesty,
that's what's gonna get us closer
454
00:20:21,554 --> 00:20:23,973
to the answers that we need.
455
00:20:24,057 --> 00:20:25,642
It's absolutely
beautiful here.
456
00:20:25,725 --> 00:20:27,394
Thank you very much.
457
00:20:27,477 --> 00:20:29,813
I am Dr. Phylis B. Canion,
458
00:20:29,896 --> 00:20:36,611
and yes,
I have the only chupacabra anywhere in the world.
459
00:20:36,695 --> 00:20:40,115
I've watched this animal
for about two years.
460
00:20:40,198 --> 00:20:43,076
Once I started
losing the chickens,
461
00:20:43,159 --> 00:20:45,495
then it was like,
"Well, what really is it?"
462
00:20:45,578 --> 00:20:49,666
So I kept losing
so many chickens.
463
00:20:49,749 --> 00:20:50,834
How many did you lose?
464
00:20:50,917 --> 00:20:52,877
- Twenty-nine in total.
- Wow.
465
00:20:52,919 --> 00:20:54,462
I thought it was amazing
466
00:20:54,546 --> 00:20:56,589
that whatever
was killing the chickens
467
00:20:56,673 --> 00:20:59,259
never hauled the chicken off,
468
00:20:59,342 --> 00:21:01,636
and that's very unusual
for any predator
469
00:21:01,720 --> 00:21:04,806
to come in and kill fresh meat
and leave it.
470
00:21:04,889 --> 00:21:07,809
And if you look
in these pictures...
471
00:21:07,892 --> 00:21:09,436
Oh, it's a puncture mark.
472
00:21:09,519 --> 00:21:13,690
It's very clear
there are puncture marks.
473
00:21:13,773 --> 00:21:16,401
The animal
has a different look.
474
00:21:16,443 --> 00:21:20,321
The animal had no hair on it,
dog-like,
475
00:21:20,405 --> 00:21:22,949
and eyes were so blue.
476
00:21:23,033 --> 00:21:25,785
Then I got the call
that something had been hit
477
00:21:25,869 --> 00:21:27,954
and killed
in front of our ranch.
478
00:21:28,955 --> 00:21:30,749
As I'm driving
down the highway,
479
00:21:30,790 --> 00:21:34,627
I can see it laying
in the middle of the road.
480
00:21:34,711 --> 00:21:38,006
So I pulled over,
pulled it off the road,
481
00:21:38,089 --> 00:21:40,258
and it...
that was the animal.
482
00:21:40,300 --> 00:21:42,844
So if you want,
we can let you see it,
483
00:21:42,927 --> 00:21:44,095
and we'll go from there.
484
00:21:45,764 --> 00:21:48,933
I am really excited,
actually seeing the specimen.
485
00:21:50,143 --> 00:21:52,062
I have followed this story
486
00:21:52,145 --> 00:21:54,647
for almost two decades
at this point.
487
00:21:55,398 --> 00:21:56,816
Wow.
488
00:21:59,069 --> 00:22:00,070
Oh, my gosh.
489
00:22:00,153 --> 00:22:01,446
Oh, my gosh.
490
00:22:03,948 --> 00:22:05,867
Within the world
of cryptozoology,
491
00:22:05,950 --> 00:22:08,161
having a witness
and hard evidence together
492
00:22:08,244 --> 00:22:09,662
are the holy grail.
493
00:22:09,746 --> 00:22:11,831
If we can take measurements
and connect those
494
00:22:11,915 --> 00:22:13,208
with the other
team's findings,
495
00:22:13,291 --> 00:22:14,584
we will be able to figure out
496
00:22:14,668 --> 00:22:16,169
how this chupacabra
came to be.
497
00:22:17,962 --> 00:22:20,882
Phylis, do you mind
if Charlie and I
498
00:22:20,965 --> 00:22:22,634
do some analysis of this?
499
00:22:22,676 --> 00:22:24,135
Absolutely not.
500
00:22:24,177 --> 00:22:27,681
Yeah, whatever you guys would
like to do, you can do it.
501
00:22:31,685 --> 00:22:34,187
We're going to use
high dynamic range imaging
502
00:22:34,270 --> 00:22:36,314
on the suspected
chupa specimen.
503
00:22:36,356 --> 00:22:38,900
The device generates
a three-dimensional representation
504
00:22:38,983 --> 00:22:40,193
of the creature to scale.
505
00:22:41,528 --> 00:22:45,573
We'll be able to zoom in,
maintain scale,
506
00:22:45,657 --> 00:22:48,076
look at what
these teeth are like,
507
00:22:48,159 --> 00:22:50,787
and then compare that
to any bite marks that are recovered.
508
00:22:50,870 --> 00:22:53,748
With the 3D scans,
we can compare the body structure,
509
00:22:53,832 --> 00:22:57,252
skull sizes,
and teeth measurements to the dire wolf.
510
00:22:57,335 --> 00:23:00,046
The 3D model of the specimen
will never deteriorate,
511
00:23:00,130 --> 00:23:01,506
and we can closely examine
512
00:23:01,548 --> 00:23:03,299
every nook and cranny
of the body.
513
00:23:03,383 --> 00:23:04,843
What's going on
with these haunches?
514
00:23:04,884 --> 00:23:06,636
We don't really know
what they were.
515
00:23:06,720 --> 00:23:09,848
In the beginning, it looks
like it's probably a gland.
516
00:23:09,889 --> 00:23:13,935
But when I did
one of the DNAs, I scappled here,
517
00:23:14,019 --> 00:23:16,646
and it was just pink,
fresh meat.
518
00:23:17,814 --> 00:23:19,983
During my time at both
the CIA and the FBI,
519
00:23:20,066 --> 00:23:21,860
I was really trained
to determine whether or not
520
00:23:21,901 --> 00:23:24,154
someone is a credible witness.
521
00:23:24,237 --> 00:23:28,616
I think Phylis
is extremely credible,
522
00:23:28,700 --> 00:23:31,119
has done so much research,
523
00:23:31,202 --> 00:23:33,872
and such a thorough
investigation herself.
524
00:23:35,415 --> 00:23:39,419
So this was the first time that we did DNA.
525
00:23:39,502 --> 00:23:41,796
We have done it
multiple times,
526
00:23:41,880 --> 00:23:45,592
and it all
has come back identical.
527
00:23:45,675 --> 00:23:48,345
Part of it matched
the Mexican wolf,
528
00:23:48,428 --> 00:23:51,014
and the other part
matched the coyote.
529
00:23:52,432 --> 00:23:54,392
What about the third one?
530
00:23:54,434 --> 00:23:58,480
The DNA doesn't match anything
in the animal data bank
531
00:23:58,563 --> 00:24:00,857
that we have in this country.
532
00:24:04,277 --> 00:24:07,072
What you're saying is
this is a straight-up hybrid.
533
00:24:07,113 --> 00:24:10,116
Yes, and we have
the DNA to prove it.
534
00:24:11,785 --> 00:24:13,953
Based on the
experience with Phylis,
535
00:24:14,037 --> 00:24:18,541
I am all in
on this hybrid dog creature
536
00:24:18,625 --> 00:24:20,752
being what people are calling
the Chupacabra.
537
00:24:20,794 --> 00:24:22,253
Species interbreed.
538
00:24:22,295 --> 00:24:24,255
What I need to do now
is to determine
539
00:24:24,297 --> 00:24:26,549
if that third
unknown DNA signature
540
00:24:26,633 --> 00:24:28,593
could point to the dire wolf.
541
00:24:36,559 --> 00:24:38,603
Oh, Charlie's calling.
542
00:24:38,687 --> 00:24:41,731
- Hey, guys.
- What's up, dude?
543
00:24:41,815 --> 00:24:44,484
I look forward to hearing
what the field team came up with.
544
00:24:44,567 --> 00:24:45,902
Before I examine
the specimen further,
545
00:24:45,985 --> 00:24:47,904
I want to share
relevant measurements.
546
00:24:47,987 --> 00:24:50,990
Head size, body shape,
teeth size, and spacing
547
00:24:51,074 --> 00:24:53,660
to see how that compares
with what's being encountered
548
00:24:53,743 --> 00:24:54,828
in North Carolina.
549
00:24:55,995 --> 00:24:58,081
We're on, um, Jeff's farm.
550
00:24:58,164 --> 00:25:00,625
Yesterday, we were able
to dive into his latest kill,
551
00:25:00,709 --> 00:25:02,127
which was a pig.
552
00:25:02,210 --> 00:25:03,837
We did a necropsy
on the animal,
553
00:25:03,920 --> 00:25:05,797
and we were able to discover
that it had the same type
554
00:25:05,880 --> 00:25:06,798
of puncture wounds
555
00:25:06,881 --> 00:25:08,675
that matched a lot
of the chupacabra cases
556
00:25:08,758 --> 00:25:13,388
with the two fangs that make
the mark in the jugular.
557
00:25:13,430 --> 00:25:14,514
That's interesting.
558
00:25:14,597 --> 00:25:19,144
The specimen was
decidedly a canine.
559
00:25:19,227 --> 00:25:22,147
The DNA analysis,
we were able to confirm
560
00:25:22,230 --> 00:25:26,693
that it was Mexican wolf,
coyote, and partially unknown.
561
00:25:27,694 --> 00:25:30,363
Can you elaborate
on partially unknown?
562
00:25:30,447 --> 00:25:32,323
It just didn't match
anything in the system.
563
00:25:32,407 --> 00:25:33,283
It's like fingerprints.
564
00:25:33,366 --> 00:25:34,617
If you have a catalog
of fingerprints,
565
00:25:34,701 --> 00:25:37,287
you can only match
what's in the catalog.
566
00:25:37,370 --> 00:25:39,581
There's a high probability
that it could be related
567
00:25:39,622 --> 00:25:40,623
to the dire wolf.
568
00:25:42,625 --> 00:25:44,711
Charlie,
what's really interesting is that pig that died
569
00:25:44,794 --> 00:25:47,797
has bite marks on its neck
that matches that of a canine.
570
00:25:47,881 --> 00:25:49,257
When you were looking
at the specimen,
571
00:25:49,299 --> 00:25:51,926
what kind of measurements
did you get from it?
572
00:25:51,968 --> 00:25:54,971
From the front right tooth to the front left tooth,
573
00:25:55,055 --> 00:25:57,849
so like the fangs,
essentially, of the canines, - Mmm-hmm.
574
00:25:57,932 --> 00:25:59,517
uh, inch and a half.
575
00:25:59,601 --> 00:26:01,186
Does that line up
with anything? - Yes.
576
00:26:01,269 --> 00:26:03,021
That's what we got
right here, too.
577
00:26:03,104 --> 00:26:04,272
That was the one
on the pig.
578
00:26:04,314 --> 00:26:05,732
I can kind of hold this up
so you can look real quick.
579
00:26:05,815 --> 00:26:06,900
It was an inch and a half.
580
00:26:08,151 --> 00:26:10,362
Okay.
This is good stuff.
581
00:26:10,445 --> 00:26:13,365
I have no doubt that
this is a hybrid animal,
582
00:26:13,448 --> 00:26:15,075
the specimen that I've seen.
583
00:26:15,158 --> 00:26:18,078
Where it starts to get weird,
where I'm really interested,
584
00:26:18,161 --> 00:26:22,749
is what you are encountering
is the same kind of hybrid.
585
00:26:22,832 --> 00:26:24,793
Or they're migrating
up more north,
586
00:26:24,834 --> 00:26:26,169
and they're continuing
to breed,
587
00:26:26,252 --> 00:26:29,047
and it's just continuing
to flow up here.
588
00:26:29,130 --> 00:26:35,470
If we can match that specimen to the DNA from your site,
589
00:26:35,512 --> 00:26:37,681
that would be awesome.
590
00:26:37,764 --> 00:26:39,849
The most important part
of this investigation
591
00:26:39,933 --> 00:26:41,601
right now is DNA.
592
00:26:41,685 --> 00:26:44,020
We have got to collect DNA
in the field
593
00:26:44,104 --> 00:26:46,022
and match it to Charlie's DNA
594
00:26:46,106 --> 00:26:48,733
to see if we are dealing
with the exact same creature.
595
00:26:48,817 --> 00:26:50,402
I'm going
to set some traps
596
00:26:50,485 --> 00:26:51,945
and see if we can get it
inside a trap.
597
00:26:52,028 --> 00:26:54,781
If not, I'll do my best
to get maybe a hair snag.
598
00:26:56,032 --> 00:26:57,450
Something important
Jeff mentioned was the fact
599
00:26:57,534 --> 00:26:58,952
that other farmers in the area
600
00:26:59,035 --> 00:27:00,704
are having the same type
of sightings
601
00:27:00,787 --> 00:27:02,789
of the same type of creature.
602
00:27:02,872 --> 00:27:05,208
It's important that we go
and meet with these locals
603
00:27:05,291 --> 00:27:06,501
and get their accounts,
604
00:27:06,543 --> 00:27:09,963
because we could probably
triangulate a perfect location
605
00:27:10,046 --> 00:27:11,673
and pinpoint where
we're going to be able
606
00:27:11,715 --> 00:27:14,050
to find this creature.
607
00:27:14,134 --> 00:27:15,719
Sounds like we have
a pretty good turnout in there actually.
608
00:27:15,802 --> 00:27:18,388
It sounds like
a lot of people.
609
00:27:18,471 --> 00:27:21,224
I have a profound respect for the local natives
610
00:27:21,307 --> 00:27:23,810
simply due to their
real knowledge of the country.
611
00:27:23,893 --> 00:27:26,354
and local accounts
are still ever more precise
612
00:27:26,396 --> 00:27:29,190
and categoric reports
that these creatures really exist
613
00:27:29,232 --> 00:27:31,401
and are not just old
wives' tales.
614
00:27:32,736 --> 00:27:33,778
All right.
615
00:27:33,862 --> 00:27:35,196
Hi, everybody.
616
00:27:35,238 --> 00:27:36,281
Whoa, what's going on?
617
00:27:36,364 --> 00:27:37,574
Hey, all right.
618
00:27:37,657 --> 00:27:39,242
Where's Hammer?
619
00:27:39,325 --> 00:27:41,077
- Right back here.
- Hi, buddy. How are you?
620
00:27:41,161 --> 00:27:42,704
- Good.
- I'm Brittany. Nice to meet you.
621
00:27:42,746 --> 00:27:44,581
- You too.
- We got to meet your buddy, Jeff.
622
00:27:44,664 --> 00:27:46,166
- Okay.
- Troy. Nice to meet you.
623
00:27:46,249 --> 00:27:47,542
I need to know
how you got that name, too.
624
00:27:47,584 --> 00:27:49,210
Ah. That's a long story.
625
00:28:01,931 --> 00:28:02,849
Thank you, sir.
626
00:28:04,017 --> 00:28:06,269
Um, we're in the area
because obviously there's been
627
00:28:06,353 --> 00:28:08,730
some really strange accounts
on a lot of the farms up here
628
00:28:08,772 --> 00:28:10,815
of kind of like
animal mutilation.
629
00:28:10,899 --> 00:28:13,234
Has anybody else had any kind
of strange accounts like that?
630
00:28:13,276 --> 00:28:14,444
- Similar to that?
- Yeah.
631
00:28:14,944 --> 00:28:16,279
- Yes.
- Yes.
632
00:28:16,946 --> 00:28:17,947
So pretty much everybody.
633
00:28:19,407 --> 00:28:21,368
It was like a vampire,
sucking blood,
634
00:28:21,451 --> 00:28:22,702
making the puncture wounds.
635
00:28:23,953 --> 00:28:25,246
And it didn't get its prey.
636
00:28:25,288 --> 00:28:27,082
- It just got--
- It bit. It just sucked blood--
637
00:28:27,123 --> 00:28:28,416
Yeah.
Got a bite of it and left.
638
00:28:29,959 --> 00:28:32,462
A lot of the
accounts is very much like...
639
00:28:32,545 --> 00:28:34,005
almost like
if they went to attack
640
00:28:34,089 --> 00:28:35,965
and they got something
and then you scared it off.
641
00:28:36,049 --> 00:28:38,468
- Right.
- Like the animal couldn't do what it needed to do.
642
00:28:39,803 --> 00:28:43,515
We've also found
cats and foxes with one--
643
00:28:43,598 --> 00:28:46,893
chickens, lots of something,
dug underneath one time.
644
00:28:46,976 --> 00:28:50,855
And it took their heads and
the back ends, also as well.
645
00:28:50,939 --> 00:28:52,732
Were there any blood of the
remains of the chicken death?
646
00:28:52,816 --> 00:28:54,192
- No, actually, there wasn't.
- Or were they pretty dry?
647
00:28:54,275 --> 00:28:55,819
It looked like a clean--
648
00:28:57,987 --> 00:28:59,155
Yeah.
649
00:28:59,239 --> 00:29:00,907
- From the back?
- Mmm-hmm.
650
00:29:02,617 --> 00:29:03,952
I don't trust group witnesses
651
00:29:03,993 --> 00:29:05,745
because a lot of the stories
are going to line up.
652
00:29:05,829 --> 00:29:07,038
Everybody comes
to the watering hole,
653
00:29:07,122 --> 00:29:08,623
they go, "Did you see that?
I saw that. Did you see that?"
654
00:29:08,665 --> 00:29:11,334
And then over time,
the stories start to blend.
655
00:29:11,418 --> 00:29:13,336
But each one of these people
have seen something,
656
00:29:13,420 --> 00:29:15,630
so we have to take everyone
in consideration
657
00:29:15,672 --> 00:29:17,674
and figure out where
this thing is hunting.
658
00:29:17,757 --> 00:29:19,342
I want to pull out my map
659
00:29:19,426 --> 00:29:22,887
because if I'm able
to figure out a pattern,
660
00:29:22,971 --> 00:29:24,305
then we might be able
to hone in on them...
661
00:29:24,347 --> 00:29:25,557
- Right.
- ...which would be amazing.
662
00:29:25,640 --> 00:29:27,475
- So if I can get everybody...
- That would be.
663
00:29:27,517 --> 00:29:29,686
...for Troy and I
to get names of locations
664
00:29:29,769 --> 00:29:31,521
of the towns or areas
you've seen them in,
665
00:29:31,604 --> 00:29:32,897
I'm gonna mark them on my map.
666
00:29:32,981 --> 00:29:34,399
- You got it. Yes, ma'am.
- Okay?
667
00:29:34,482 --> 00:29:35,358
All right.
668
00:29:36,860 --> 00:29:37,861
All right, John.
669
00:29:37,944 --> 00:29:40,947
I saw one of 'em over about
10 miles up the road.
670
00:29:41,031 --> 00:29:42,323
How about you, Punk?
671
00:29:42,365 --> 00:29:44,284
Um, right here in Oak Grove.
672
00:29:44,367 --> 00:29:45,368
- Right here?
- Yeah.
673
00:29:45,452 --> 00:29:46,619
Right here.
674
00:29:46,703 --> 00:29:47,912
What about you, bud?
675
00:29:47,996 --> 00:29:49,831
The beginning of Mill Creek. - From the beginning.
676
00:29:49,873 --> 00:29:52,250
- So that'd be right-- Yup.
- That's up in the top right there.
677
00:29:52,334 --> 00:29:55,128
I just had the cat encounter.
678
00:29:55,211 --> 00:29:56,671
- Where was that?
- It was up on Mill Creek.
679
00:29:56,713 --> 00:29:57,589
Oh, so same spot!
680
00:29:57,672 --> 00:29:59,132
It's all circles
right through here.
681
00:30:01,551 --> 00:30:02,469
There's a lot of things.
682
00:30:02,552 --> 00:30:04,095
You don't know
what's out there, but...
683
00:30:04,179 --> 00:30:05,388
but they are.
684
00:30:06,723 --> 00:30:08,767
Now that we have
some pinpoints on the map,
685
00:30:08,850 --> 00:30:11,061
it will allow us to kind of
triangulate the areas
686
00:30:11,144 --> 00:30:13,688
and the patterns in which
these animals are being seen.
687
00:30:13,730 --> 00:30:16,483
And having that information,
we might be able to pinpoint
688
00:30:16,566 --> 00:30:20,278
the exact location
to find this creature.
689
00:30:20,362 --> 00:30:23,531
We could be capturing
the Chupacabra tonight,
690
00:30:23,573 --> 00:30:25,533
and that has
never been done before.
691
00:30:31,664 --> 00:30:33,458
- Is this the light?
- Yeah, it's the UV light.
692
00:30:33,500 --> 00:30:35,960
We need to test some gear to track this creature.
693
00:30:36,002 --> 00:30:37,504
The phosphorus
within our blood
694
00:30:37,587 --> 00:30:39,047
that actually
under a UV light will glow
695
00:30:39,130 --> 00:30:41,049
like a bioluminescent
almost in color.
696
00:30:41,132 --> 00:30:42,008
That's in all bodily fluid.
697
00:30:42,092 --> 00:30:44,010
Well, is it all?
Is it all bodily--
698
00:30:44,094 --> 00:30:45,220
- It's a lot of them.
- Hold on.
699
00:30:45,303 --> 00:30:46,971
- All right, let's go.
- Hold on, hold on.
700
00:30:47,013 --> 00:30:48,431
We'll test this theory
right now.
701
00:30:48,515 --> 00:30:49,849
Are we doing this?
We're not doing this. - Shut up.
702
00:30:49,933 --> 00:30:50,850
Just shut up for a second.
703
00:30:50,892 --> 00:30:52,560
- Hold on. I got it.
- Oh, my God.
704
00:30:52,644 --> 00:30:53,520
I got you covered.
705
00:30:54,479 --> 00:30:55,605
This is going to help.
706
00:30:58,024 --> 00:30:59,067
Is it lighting up?
707
00:30:59,150 --> 00:30:59,984
- No.
- No.
708
00:31:00,026 --> 00:31:01,152
All right. Well, now we know
709
00:31:01,194 --> 00:31:02,278
- it only works for blood.
- Phosphorescence lets it glow.
710
00:31:02,362 --> 00:31:03,571
So carry on.
711
00:31:03,655 --> 00:31:04,864
Well, thank you for...
712
00:31:06,533 --> 00:31:07,534
Ugh.
713
00:31:14,040 --> 00:31:16,835
Guys, the cage is ready.
Let's get this goat.
714
00:31:16,876 --> 00:31:19,754
The next morning in the foothills of Appalachia,
715
00:31:19,838 --> 00:31:22,632
the team prepares the most
important step of the hunt,
716
00:31:22,716 --> 00:31:26,553
to lure in and document
the mysterious killer canine.
717
00:31:26,636 --> 00:31:27,762
You're okay, mama.
718
00:31:27,846 --> 00:31:29,806
Want some Cheetos?
719
00:31:29,889 --> 00:31:32,434
Using Farmer Jeff's
goat Penny as bait,
720
00:31:32,517 --> 00:31:35,520
they will head to
a location they identified as ground zero,
721
00:31:35,562 --> 00:31:37,564
based on local accounts.
722
00:31:37,647 --> 00:31:40,316
All right. So, we've been
spending a lot of time
723
00:31:40,400 --> 00:31:42,861
with Miss Penny over here.
And this is Jeff's goat.
724
00:31:42,902 --> 00:31:45,697
We don't want anything bad
to happen to her.
725
00:31:45,739 --> 00:31:47,866
We're gonna have her
in a separate enclosure
726
00:31:48,742 --> 00:31:49,868
and keep her safe.
727
00:31:49,909 --> 00:31:50,869
Here you go, mama.
728
00:31:52,537 --> 00:31:53,413
Good girl.
729
00:31:54,247 --> 00:31:55,874
It's okay, mama.
730
00:31:55,915 --> 00:31:57,208
We really gotta
do whatever we can
731
00:31:57,250 --> 00:31:58,418
to keep Penny safe tonight, J.
732
00:32:00,503 --> 00:32:03,006
Using the map of
recent eyewitness sightings,
733
00:32:03,089 --> 00:32:04,883
the team has determined
the best location
734
00:32:04,924 --> 00:32:06,259
to encounter the creature.
735
00:32:07,344 --> 00:32:08,261
Hey, is this the right spot?
736
00:32:10,555 --> 00:32:12,807
Just, I think this is kind of
a game or cattle trail.
737
00:32:12,891 --> 00:32:13,767
What do you want to do?
738
00:32:13,850 --> 00:32:15,602
Well, we got
this hole right here.
739
00:32:15,685 --> 00:32:16,936
This is obviously
heavily used.
740
00:32:17,020 --> 00:32:19,564
We can tell because
the clay is packed so hard
741
00:32:19,606 --> 00:32:21,483
that the shrubs and the grass
can't even grow.
742
00:32:21,566 --> 00:32:22,442
So what's your plan?
743
00:32:23,360 --> 00:32:24,235
I mean, I get it. I just--
744
00:32:24,277 --> 00:32:25,236
We're running out of daylight,
745
00:32:25,278 --> 00:32:26,821
and I want to get this up
before it gets dark.
746
00:32:26,905 --> 00:32:28,406
Yeah, well,
it's a clear path.
747
00:32:28,448 --> 00:32:29,866
Somebody's definitely
taking it.
748
00:32:29,949 --> 00:32:31,201
And it's going
to take that corner.
749
00:32:31,284 --> 00:32:33,745
So I think we just put it
as close to that corner as possible.
750
00:32:35,121 --> 00:32:36,956
The game trail runs
along the fence
751
00:32:37,040 --> 00:32:38,917
and turns a corner
at the tree line.
752
00:32:38,958 --> 00:32:40,794
They plan to
surprise the creature
753
00:32:40,877 --> 00:32:42,545
and set the trap
where the trail turns.
754
00:32:44,255 --> 00:32:45,590
Are you ready, baby girl?
755
00:32:45,632 --> 00:32:47,884
I'm gonna spin this way
and we'll walk that way. Okay? - Okay.
756
00:32:47,967 --> 00:32:50,011
That way you ain't got
to spin too much, okay?
757
00:32:50,095 --> 00:32:51,805
This is
an extremely big moment
758
00:32:51,888 --> 00:32:52,764
for all of us out here.
759
00:32:52,806 --> 00:32:55,392
We literally
could be capturing
760
00:32:55,475 --> 00:32:57,936
the Chupacabra tonight
at any moment.
761
00:32:57,977 --> 00:32:59,479
We're gonna go
right up yonder.
762
00:33:02,107 --> 00:33:05,110
This is huge for cryptozoology
and even for zoology.
763
00:33:05,151 --> 00:33:07,779
This is a new animal to study,
and this is massive.
764
00:33:10,115 --> 00:33:13,785
If it works, whether it be
a coyote, a wolf or a chalupa,
765
00:33:13,827 --> 00:33:16,162
what it's going to do is it's
gonna run into that enclosure,
766
00:33:16,246 --> 00:33:17,664
there's a foot plate
down there,
767
00:33:17,747 --> 00:33:19,457
the minute it goes through
to see to get to the goat,
768
00:33:19,499 --> 00:33:21,626
if it touches that plate,
it'll just drop,
769
00:33:21,668 --> 00:33:23,712
and then these two stoppers
will pin down in
770
00:33:23,795 --> 00:33:26,297
and we have the animal safe.
It won't hurt the animal.
771
00:33:26,339 --> 00:33:28,383
And, man, if we catch it...
772
00:33:28,466 --> 00:33:30,343
Well, that gives us all the
information we'll ever need.
773
00:33:32,262 --> 00:33:35,265
What I'm doing here is a makeshift type of hair snag.
774
00:33:35,348 --> 00:33:37,392
And what hair snags are
is basically
775
00:33:37,475 --> 00:33:40,478
a more humane way
of catching the hair.
776
00:33:40,520 --> 00:33:42,939
Anybody on a farm knows that
when they use the barbed wire,
777
00:33:43,023 --> 00:33:43,982
deers jumping over the fence,
778
00:33:44,024 --> 00:33:45,608
coyotes coming
underneath there,
779
00:33:45,692 --> 00:33:46,735
these little-- if you look...
780
00:33:46,818 --> 00:33:48,445
You see these little metal
pieces coming out?
781
00:33:48,528 --> 00:33:50,989
It'll catch the hair,
catch the skin.
782
00:33:51,031 --> 00:33:53,033
And most the time, it just--
the animal just keeps on going
783
00:33:53,116 --> 00:33:55,285
and left behind is just DNA.
784
00:34:00,331 --> 00:34:01,624
So our goat is
in front of the trap.
785
00:34:01,708 --> 00:34:03,335
We're all built. Next move,
786
00:34:03,376 --> 00:34:04,794
Brittany and I are gonna go
down to the blind.
787
00:34:04,878 --> 00:34:06,379
Justin's gonna go up
into the tree stand,
788
00:34:06,463 --> 00:34:08,298
and we have infrared
and thermal cameras,
789
00:34:08,381 --> 00:34:09,716
and we're gonna be watching,
790
00:34:09,799 --> 00:34:11,676
waiting for anything
to come by this area.
791
00:34:15,847 --> 00:34:18,224
Now, in a normal situation,
792
00:34:19,184 --> 00:34:20,852
I'm gonna be over there
with Troy.
793
00:34:20,894 --> 00:34:23,188
And if sis is with us,
she's coming with us, too.
794
00:34:23,229 --> 00:34:24,356
So we usually stick together.
795
00:34:24,397 --> 00:34:26,232
But in a scenario like this,
796
00:34:26,316 --> 00:34:27,901
I think it's better that
we split up.
797
00:34:29,027 --> 00:34:30,195
And I got a good vantage point
798
00:34:30,236 --> 00:34:32,739
because I'm about... probably
20 feet up in the air.
799
00:34:34,074 --> 00:34:37,369
They have a different line of,
uh, a line of sight...
800
00:34:39,537 --> 00:34:42,040
on the the right opening.
801
00:34:42,082 --> 00:34:43,917
And then, as far as I am,
802
00:34:44,000 --> 00:34:46,378
I am dead-sight on that goat.
803
00:34:48,421 --> 00:34:49,339
You got the good camera.
804
00:34:49,422 --> 00:34:50,507
I'm over here
with the old-school infrared.
805
00:34:50,590 --> 00:34:51,800
Remember we used to use these
when we were kids
806
00:34:51,883 --> 00:34:53,009
and pretend we were ghosts?
807
00:34:53,843 --> 00:34:55,387
I'm the ghost
from Christmas past,
808
00:34:55,428 --> 00:34:56,888
and I'm here to tell you...
809
00:34:56,930 --> 00:34:58,598
God, you kind of look like... - ...that that thing's gonna
810
00:34:58,682 --> 00:34:59,599
take you.
811
00:34:59,641 --> 00:35:00,725
- Ew, that looks--
- Can you see my real soul?
812
00:35:00,767 --> 00:35:03,436
Ew-- No. Your eyes are white.
813
00:35:03,520 --> 00:35:05,313
Like, everything's white,
but your beard.
814
00:35:05,397 --> 00:35:06,690
You guys can't see it,
815
00:35:06,773 --> 00:35:08,483
but I can put
my feet up over here
816
00:35:08,566 --> 00:35:10,527
and kind of lean back
and just be real quiet
817
00:35:10,610 --> 00:35:12,070
and wait for things
to come by.
818
00:35:12,946 --> 00:35:14,531
So, I'm gravy.
819
00:35:14,614 --> 00:35:16,574
I think I could live up here
for the rest of my life.
820
00:35:33,299 --> 00:35:36,219
It's very rare
on these occasions
821
00:35:36,302 --> 00:35:38,555
when we work together
like this with sis,
822
00:35:38,638 --> 00:35:42,642
uh, for our theories
to kind of intersect.
823
00:35:42,726 --> 00:35:44,436
I think we're kind of
all in agreement
824
00:35:44,477 --> 00:35:46,771
that it is
some canine species.
825
00:35:50,233 --> 00:35:52,360
If we can actually get
some DNA out of this,
826
00:35:52,444 --> 00:35:53,987
it's gonna be the only way
to actually find out
827
00:35:54,070 --> 00:35:55,530
exactly what the hell
we've got going on,
828
00:35:55,613 --> 00:35:59,075
aside from us getting
that thing inside that trap.
829
00:36:18,928 --> 00:36:21,139
Troy. Troy. Troy!
830
00:36:29,564 --> 00:36:30,440
Do you hear it?
831
00:36:40,742 --> 00:36:42,035
Troy. Troy!
832
00:36:42,118 --> 00:36:42,952
What is that?
833
00:36:45,747 --> 00:36:47,332
Justin, did you see that?
Go, go.
834
00:36:47,415 --> 00:36:48,917
- It ran past the trap.
- It went all the way past it.
835
00:36:48,958 --> 00:36:50,585
- Okay, okay. Let's go.
- Comin' down, Troy.
836
00:36:55,965 --> 00:36:56,800
Penny!
837
00:36:59,469 --> 00:37:00,970
Yo, get to the goat!
Get to the goat!
838
00:37:01,054 --> 00:37:02,514
- Go, go, go!
- I got him.
839
00:37:02,597 --> 00:37:04,182
Hi, sweet girl.
You're okay.
840
00:37:04,265 --> 00:37:05,975
Justin's gone.
He's chasing it.
841
00:37:14,818 --> 00:37:15,735
Shoot!
842
00:37:17,112 --> 00:37:19,322
Holy hell, that's fast.
843
00:37:20,990 --> 00:37:21,908
Damn!
844
00:37:28,498 --> 00:37:29,916
I can't see.
845
00:37:31,751 --> 00:37:32,794
It didn't even mess with this.
846
00:37:32,836 --> 00:37:33,920
No, it didn't.
847
00:37:34,004 --> 00:37:35,046
God, that thing was fast.
848
00:37:35,130 --> 00:37:37,215
- Oh, my God. Troy I had that--
- Son of a bitch!
849
00:37:37,298 --> 00:37:38,383
- I had that in view--
- I'm telling you,
850
00:37:38,466 --> 00:37:40,385
that thing was moving quick.
It cut right through here.
851
00:37:40,468 --> 00:37:41,886
, I was wondering why
this curve was here.
852
00:37:41,970 --> 00:37:43,847
He's got to be
traveling this way.
853
00:37:43,930 --> 00:37:46,266
He didn't even
set the trap off.
854
00:37:47,267 --> 00:37:48,810
Where the is the post?
855
00:37:50,979 --> 00:37:52,856
Troy, that means
it hooked it. - No, he hit it.
856
00:37:55,859 --> 00:37:58,236
What do you got?
What do you got?
857
00:37:58,319 --> 00:38:00,488
This
took some strides that I ain't never seen before.
858
00:38:00,530 --> 00:38:02,365
No, he had, like, a...
like a, um...
859
00:38:02,449 --> 00:38:04,951
You know how when an armadillo
runs really fast?
860
00:38:05,035 --> 00:38:06,327
And you kind of see his legs?
861
00:38:06,369 --> 00:38:07,996
He flew through here,
but I bet you it was about--
862
00:38:08,038 --> 00:38:09,914
Man, like, you can't
judge the distance by looking.
863
00:38:09,998 --> 00:38:12,500
But I would say his back was
probably right about here.
864
00:38:12,542 --> 00:38:14,252
And he was screaming, dude.
865
00:38:14,336 --> 00:38:15,337
Oh, my God, I found it!
866
00:38:15,378 --> 00:38:16,588
I found it! I found it!
I found it! I found it!
867
00:38:16,671 --> 00:38:18,882
- Hold on, hold on, hold on!
- Yeah.
868
00:38:18,965 --> 00:38:20,467
- He never went here.
- Come on, there's got to be something.
869
00:38:20,550 --> 00:38:21,968
It wouldn't have just
dragged on it for just--
870
00:38:22,052 --> 00:38:23,553
Oh, I see it!
I got something!
871
00:38:28,058 --> 00:38:30,101
That's actual skin.
872
00:38:30,185 --> 00:38:32,687
I got skin, which means when
that thing dodged that pen,
873
00:38:32,729 --> 00:38:34,981
it actually caught it
by the leg, most likely,
874
00:38:35,065 --> 00:38:37,067
and that's when it hooked it
and actually ran out with it.
875
00:38:38,485 --> 00:38:40,195
I don't actually have hair,
which would make sense
876
00:38:40,236 --> 00:38:42,572
because in some cases,
these things are hairless.
877
00:38:43,740 --> 00:38:45,075
This right here
could be the evidence
878
00:38:45,158 --> 00:38:47,494
of the Chupacabra.
Right here.
879
00:38:47,577 --> 00:38:49,245
And what's been
terrorizing this area,
880
00:38:49,329 --> 00:38:50,246
it could literally be sitting
881
00:38:50,330 --> 00:38:51,748
right here in the palm
of my hand right now.
882
00:38:53,375 --> 00:38:57,420
Did we get the actual physical
body of the Chupacabra?
883
00:38:57,754 --> 00:38:59,005
No.
884
00:38:59,089 --> 00:39:01,633
But what we did get
was a piece of DNA.
885
00:39:01,716 --> 00:39:05,762
I have tissue of this animal,
whatever it is.
886
00:39:05,845 --> 00:39:07,722
But now I need to get
that sample tested
887
00:39:07,764 --> 00:39:09,599
because Charlie is in Texas
with Tracy,
888
00:39:09,683 --> 00:39:11,685
and I need to see
if we can cross reference
889
00:39:11,768 --> 00:39:13,728
and see if we're dealing
with the same animal
890
00:39:13,770 --> 00:39:14,938
in both places.
891
00:39:23,780 --> 00:39:25,532
We've got a few
key pieces of evidence here
892
00:39:25,615 --> 00:39:27,325
that I think we can
really work with.
893
00:39:27,409 --> 00:39:30,537
Dr. Canion was able to give us
copies of her report
894
00:39:30,620 --> 00:39:34,124
and verify the databases that
the DNA was sequenced against.
895
00:39:35,291 --> 00:39:36,710
Using the 3D scanner,
896
00:39:36,793 --> 00:39:40,588
I made a composite skull
of Phylis' Chupacabra.
897
00:39:40,630 --> 00:39:43,591
It doesn't it look like
Sanderson's theorized hybrid skull sketch.
898
00:39:46,094 --> 00:39:48,805
It's pretty darn close. - It is pretty darn close.
899
00:39:50,724 --> 00:39:53,893
We actually got
something on camera
900
00:39:53,977 --> 00:39:55,729
that very much looked
like a canine.
901
00:39:55,812 --> 00:39:56,730
Okay.
902
00:39:56,813 --> 00:39:58,982
And I have the report
right here from the lab.
903
00:40:00,400 --> 00:40:01,609
Okay, big reveal.
904
00:40:03,319 --> 00:40:05,447
What did you say
your sequence was again?
905
00:40:05,488 --> 00:40:07,907
So I had part Mexican wolf,
part coyote
906
00:40:07,991 --> 00:40:09,576
and another part
unidentifiable.
907
00:40:11,661 --> 00:40:12,662
Charlie, we have a match.
908
00:40:14,122 --> 00:40:18,043
This is saying "potential
coyote and Mexican wolf
909
00:40:18,126 --> 00:40:19,169
and an unknown hit."
910
00:40:24,007 --> 00:40:25,091
I think we have our culprit.
911
00:40:26,343 --> 00:40:28,511
Based on the evidence
we've collected,
912
00:40:28,595 --> 00:40:30,764
we have a link in DNA
and the predatory patterns
913
00:40:30,847 --> 00:40:33,767
between the creatures
from Texas and North Carolina.
914
00:40:33,850 --> 00:40:35,393
The dire wolf
skull similarities
915
00:40:35,477 --> 00:40:37,645
could indicate
a Lazarus result.
916
00:40:37,687 --> 00:40:39,606
But it is highly likely,
917
00:40:39,689 --> 00:40:41,858
according to
Ivans Classification Index,
918
00:40:41,941 --> 00:40:44,819
that this is a new species.
919
00:40:44,861 --> 00:40:46,488
I don't like calling it
the Chupacabra.
920
00:40:46,529 --> 00:40:47,947
I think this
is something special.
921
00:40:48,031 --> 00:40:50,784
We need to completely
give it its own file.
922
00:40:50,867 --> 00:40:53,495
Let's do "lykos" for wolf,
in Greek term.
923
00:40:53,536 --> 00:40:54,954
- I like that.
- And...
924
00:40:56,790 --> 00:40:57,749
Sphynx.
925
00:40:57,832 --> 00:41:00,293
Ooh, a lykos sphynx.
926
00:41:02,170 --> 00:41:03,755
This furthers
Sanderson's research
927
00:41:03,838 --> 00:41:05,215
in a meaningful way.
928
00:41:05,298 --> 00:41:06,508
But we won't stop searching
929
00:41:06,549 --> 00:41:09,636
until we can document
the Chupacabra definitively.
930
00:41:09,719 --> 00:41:11,888
That means the research
has to continue,
931
00:41:11,971 --> 00:41:13,848
hopefully, before it
migrates further north.
932
00:41:14,683 --> 00:41:15,558
Let's make a new folder.
933
00:41:20,814 --> 00:41:22,190
Individuals
believe that science
934
00:41:22,232 --> 00:41:26,611
is simply a list of what
the collective already knows.
935
00:41:26,695 --> 00:41:29,030
Uh, I believe that science
936
00:41:29,072 --> 00:41:32,158
is a set of tools to uncover
what we do not know.
73691
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