All language subtitles for Lost.Monster.Files.S01E01.Carolina.Chupacabra.1080p.AMZN.WEB-DL.DD+2.0.H.264-playWEB_track3_[eng]

af Afrikaans
ak Akan
sq Albanian
am Amharic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified) Download
zh-TW Chinese (Traditional) Download
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranรฎ)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:06,589 --> 00:00:08,883 A horrifying, blood-sucking beast 2 00:00:08,967 --> 00:00:11,761 is terrorizing Appalachia. 3 00:00:12,470 --> 00:00:14,389 A canine like body... 4 00:00:14,472 --> 00:00:16,683 It's like a wolf or a coyote, but it's bigger. 5 00:00:16,766 --> 00:00:19,102 ...with razor-sharp teeth. 6 00:00:19,185 --> 00:00:20,812 So is there anything other than the vampire bat 7 00:00:20,854 --> 00:00:23,606 that would suck blood out of this animal? 8 00:00:23,690 --> 00:00:27,068 Locals believe it could be the chupacabra 9 00:00:27,152 --> 00:00:30,280 first encountered in the southwest 35 years ago. 10 00:00:30,363 --> 00:00:33,533 As soon as we see it, it's gone. 11 00:00:33,616 --> 00:00:36,703 Recent sightings are further east than ever before. 12 00:00:36,786 --> 00:00:38,705 They're continuing to breed and flow up here. 13 00:00:38,788 --> 00:00:40,623 God, that thing was fast. 14 00:00:40,707 --> 00:00:43,585 Can one scientist's archive hold the clues 15 00:00:43,668 --> 00:00:45,128 to solving this mystery? 16 00:00:47,005 --> 00:00:50,592 Our next guest tonight is one of the world's leading naturalists, 17 00:00:50,675 --> 00:00:54,888 and he's been accumulating material for some 30 years. 18 00:00:54,971 --> 00:00:56,973 In the mid-20th century, 19 00:00:57,057 --> 00:00:58,641 scientist Ivan Sanderson, 20 00:00:58,725 --> 00:01:01,728 set out to separate fact from fiction. 21 00:01:01,811 --> 00:01:03,980 He investigated hundreds of frightening encounters 22 00:01:04,064 --> 00:01:06,649 with unexplained creatures around the world. 23 00:01:06,733 --> 00:01:09,069 There seemed to be a lot of these creatures on our continent, 24 00:01:09,152 --> 00:01:12,572 in South America and Africa, and all of Eurasia. 25 00:01:12,655 --> 00:01:15,367 As the founder of cryptozoology, 26 00:01:15,408 --> 00:01:16,951 he built the most extensive archive 27 00:01:17,035 --> 00:01:19,621 of unclassified creatures on Earth. 28 00:01:19,704 --> 00:01:22,248 But following his death in the 1970s, 29 00:01:22,332 --> 00:01:24,417 that archive disappeared... 30 00:01:25,085 --> 00:01:27,420 until now. 31 00:01:27,504 --> 00:01:30,548 Armed with modern tech and Sanderson's lost research... 32 00:01:30,590 --> 00:01:33,051 We need to take this and compare it to what's in the archives. 33 00:01:33,093 --> 00:01:36,846 ...a team of experts will reinvestigate his unexplained cases 34 00:01:36,930 --> 00:01:40,392 using up-to-the-minute research, and predator expertise. 35 00:01:40,433 --> 00:01:41,851 I've never seen wildlife do this. 36 00:01:41,935 --> 00:01:43,687 There's nothing like that that should be doing that here. 37 00:01:43,770 --> 00:01:46,064 Holy! 38 00:01:46,106 --> 00:01:49,275 Can Sanderson's files lead to an incredible new insight 39 00:01:50,568 --> 00:01:51,986 and take another creature from myth... 40 00:01:52,070 --> 00:01:53,363 Did you see that? 41 00:01:53,446 --> 00:01:54,531 ...to reality? 42 00:02:05,792 --> 00:02:08,920 Everything is here from the origin of cryptozoology. 43 00:02:09,963 --> 00:02:11,131 My name is Charlie Mewshaw. 44 00:02:11,214 --> 00:02:13,133 I have multiple degrees in science and tech. 45 00:02:13,216 --> 00:02:16,219 My passion for cryptozoology is a lifelong study. 46 00:02:16,302 --> 00:02:21,182 And I use modern technology to discover things that just weren't possible in the past. 47 00:02:21,266 --> 00:02:23,476 Physical specimens here... 48 00:02:23,560 --> 00:02:27,022 Yeah, we've got castings. We've got skulls, bones. 49 00:02:27,105 --> 00:02:28,648 That's the Gigantopithecus skull. 50 00:02:30,150 --> 00:02:32,819 I'm Brittany Barbieri, and I'm a cryptozoologist. 51 00:02:34,904 --> 00:02:36,823 I believe that there are hidden animals 52 00:02:36,906 --> 00:02:38,825 that have not been discovered yet. 53 00:02:39,492 --> 00:02:40,952 We have the Komodo dragon, 54 00:02:41,995 --> 00:02:43,997 we have the snub-nosed monkey 55 00:02:44,080 --> 00:02:47,000 and even the giant squid. 56 00:02:47,083 --> 00:02:50,003 Something that was just a myth is now a fact. 57 00:02:51,338 --> 00:02:53,965 This is years and years of work. 58 00:02:55,842 --> 00:02:57,427 Sanderson was absolutely brilliant. 59 00:02:58,094 --> 00:02:59,387 He was a zoologist, 60 00:02:59,471 --> 00:03:02,807 the first to bring real science to the hunt for cryptids. 61 00:03:04,351 --> 00:03:06,019 This is unbelievable. 62 00:03:06,644 --> 00:03:08,813 Nobody has access to this. 63 00:03:08,855 --> 00:03:09,981 He spent five decades 64 00:03:10,023 --> 00:03:12,901 proving and disproving the existence of creatures. 65 00:03:12,984 --> 00:03:16,321 But he has files on hundreds of cases that were never solved. 66 00:03:16,363 --> 00:03:18,448 That's where we come in. 67 00:03:18,531 --> 00:03:20,492 Once Brittany and I got access to the archive, 68 00:03:20,533 --> 00:03:22,494 we spent weeks combing through the binders. 69 00:03:22,535 --> 00:03:25,372 We're gonna find some of Sanderson's biggest files, 70 00:03:25,455 --> 00:03:27,874 and we're gonna carry that investigation forward. 71 00:03:34,214 --> 00:03:35,423 Hold on, Charlie. 72 00:03:35,507 --> 00:03:36,925 I got a call from a farmer. 73 00:03:37,008 --> 00:03:38,802 - He's in North Carolina. - Okay. 74 00:03:38,885 --> 00:03:41,888 We literally have a carcass to go examine. 75 00:03:41,971 --> 00:03:44,224 He doesn't understand how his animal died, 76 00:03:44,307 --> 00:03:46,059 but it's been drained of blood. 77 00:03:46,142 --> 00:03:48,103 And there's been other farmers in the area that are seeing things, 78 00:03:48,186 --> 00:03:49,562 and this is happening to the livestock as well. 79 00:03:49,646 --> 00:03:51,231 This isn't just one account, 80 00:03:51,314 --> 00:03:54,567 and it honestly sounds a lot like a chupacabra. 81 00:03:56,903 --> 00:03:58,822 The chupacabra was first discovered 82 00:03:58,905 --> 00:04:01,074 in Puerto Rico in 1995 83 00:04:01,157 --> 00:04:03,702 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 85 00:04:06,830 --> 00:04:09,582 with a strange canine known for nocturnal hunting 86 00:04:09,666 --> 00:04:11,751 and draining its victim's blood. 87 00:04:13,086 --> 00:04:14,546 - So North Carolina? - Yes. 88 00:04:14,587 --> 00:04:15,839 - My backyard? - Yes. 89 00:04:15,922 --> 00:04:18,883 - We have all kinds of legends. - I know. 90 00:04:18,925 --> 00:04:20,427 We do not have chupacabra. 91 00:04:20,510 --> 00:04:22,512 And Sanderson was actually, 92 00:04:22,595 --> 00:04:26,683 long before the word chupacabra was ever coined or, like entered pop culture 93 00:04:26,766 --> 00:04:30,103 was looking into hybrid canines 94 00:04:30,937 --> 00:04:32,397 as a source of cattle mutilations. 95 00:04:33,690 --> 00:04:35,734 So he was looking at different species 96 00:04:35,775 --> 00:04:38,111 because this is a dire wolf. 97 00:04:38,194 --> 00:04:42,157 And then this is the canine genus, so-called dog genus. 98 00:04:42,240 --> 00:04:45,076 The dire wolf is not merely a wolf. 99 00:04:45,118 --> 00:04:47,829 It is a monster that roamed North America 100 00:04:47,912 --> 00:04:49,456 for tens of thousands of years, 101 00:04:49,539 --> 00:04:54,586 with jaws that could demolish the ten-ton long tusk mastodon 102 00:04:54,627 --> 00:04:57,714 with evidence of its straying in the Ozarks nearly 4,000 years ago. 103 00:04:59,049 --> 00:05:01,801 I suspect there is a chance this terrible dog interbred 104 00:05:01,885 --> 00:05:05,805 with other canines and continues to stalk us like its prey. 105 00:05:07,432 --> 00:05:09,601 I mean, obviously, Ivan was trying to figure out 106 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? 108 00:05:15,148 --> 00:05:18,568 And the fact that we have an actual physical body to examine, 109 00:05:18,651 --> 00:05:20,070 I might be able to cross reference 110 00:05:20,153 --> 00:05:22,572 our research to Sanderson's files. 111 00:05:22,655 --> 00:05:26,868 That actually reminds me a big story that broke, 112 00:05:26,951 --> 00:05:29,245 you know, in 2007, out of Texas 113 00:05:29,329 --> 00:05:30,497 was labeled the chupacabra. 114 00:05:30,580 --> 00:05:32,374 - Right. - The body was taxidermied 115 00:05:32,457 --> 00:05:34,501 by a scientist named Phyllis Canion. 116 00:05:35,251 --> 00:05:36,211 And it was a canine. 117 00:05:36,294 --> 00:05:37,754 I wanna go to Texas. 118 00:05:37,837 --> 00:05:39,964 I'd like to take a 3D scan of the specimen 119 00:05:40,006 --> 00:05:41,633 and then compare that to the skull 120 00:05:41,675 --> 00:05:43,927 from Sanderson's research. 121 00:05:44,010 --> 00:05:46,638 So if I get to the farm and I have the body, 122 00:05:46,680 --> 00:05:49,099 we can line it up with whatever you find out in Texas 123 00:05:49,182 --> 00:05:50,767 and see if we're dealing with the same thing 124 00:05:50,850 --> 00:05:53,186 or if it's a completely different animal altogether. 125 00:05:54,312 --> 00:05:56,690 These files give us an opportunity to see 126 00:05:56,773 --> 00:05:59,859 right into Ivan Sanderson's frame of mind. 127 00:05:59,943 --> 00:06:01,778 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 00:06:05,949 --> 00:06:07,200 We'll measure the gathered evidence 130 00:06:07,283 --> 00:06:09,536 against his classification index. 131 00:06:09,619 --> 00:06:11,121 That will help us determine if this creature 132 00:06:11,204 --> 00:06:14,416 is a known animal species, a Lazarus species, 133 00:06:14,499 --> 00:06:16,710 something formerly thought to be extinct 134 00:06:16,793 --> 00:06:20,213 or is an entirely new species altogether. 135 00:06:20,296 --> 00:06:23,466 I'll head to Texas to examine the taxidermied specimen. 136 00:06:23,550 --> 00:06:26,344 Meanwhile, Brittany will head to Alexander, North Carolina, 137 00:06:26,386 --> 00:06:29,931 where there's been recent sightings and livestock mutilations. 138 00:06:30,015 --> 00:06:33,226 Our job is to make as much of the unknown known. 139 00:06:33,309 --> 00:06:36,521 And finally document proof of this elusive creature. 140 00:06:39,482 --> 00:06:42,986 The Appalachian Mountains are the intersection 141 00:06:43,069 --> 00:06:45,363 of two of the largest towns in North America. 142 00:06:45,405 --> 00:06:47,407 With large expanses 143 00:06:47,490 --> 00:06:50,285 of the treacherous landscape, uh, unexplored, 144 00:06:50,368 --> 00:06:54,706 I'd say the possible and improbable are lurking in the wilderness. 145 00:06:58,168 --> 00:07:00,128 Ivan Sanderson in his files, 146 00:07:00,211 --> 00:07:03,089 he was looking at reports of hybrid dogs, 147 00:07:03,173 --> 00:07:06,092 and he was looking into these weird, strange accounts 148 00:07:06,176 --> 00:07:08,386 way before chupacabra was even coined. 149 00:07:09,721 --> 00:07:12,223 Twenty miles out of Alexander, North Carolina, 150 00:07:12,265 --> 00:07:15,643 Brittany, along with predator expert Troy Lillie, 151 00:07:15,727 --> 00:07:18,271 and tracking expert, Justin Igualada, 152 00:07:18,355 --> 00:07:21,775 head to a farm that's been the site of recent attacks. 153 00:07:21,858 --> 00:07:24,611 The farm is located on the Blue Ridge Mountains, 154 00:07:24,694 --> 00:07:26,613 a 615-mile highlands 155 00:07:26,696 --> 00:07:30,033 that's a piece of the larger Appalachian mountain range. 156 00:07:30,116 --> 00:07:32,327 The region is home to numerous predators, 157 00:07:32,410 --> 00:07:34,621 including black bears and coyote. 158 00:07:38,124 --> 00:07:40,627 Whatever is killing these animals, it isn't eating them. 159 00:07:40,710 --> 00:07:43,338 It's just biting their necks and draining their blood. 160 00:07:43,421 --> 00:07:45,965 Like, main, two large holes in the neck. 161 00:07:47,300 --> 00:07:49,094 Also, we have to take into consideration 162 00:07:49,135 --> 00:07:50,970 there's a lot of predators out here. 163 00:07:51,054 --> 00:07:52,847 You know, you also have venomous snakes 164 00:07:52,931 --> 00:07:55,100 and venomous snakes can really put you down. 165 00:07:56,893 --> 00:07:57,936 Troy is my older brother. 166 00:07:57,977 --> 00:08:01,189 He's extremely skilled as an animal behavioralist 167 00:08:01,272 --> 00:08:02,857 when it comes to cryptids. 168 00:08:02,941 --> 00:08:05,694 He's one of those guys that he has to see it to believe it. 169 00:08:05,777 --> 00:08:07,404 My name is Troy Lillie, and I'm an animal behaviorist 170 00:08:07,487 --> 00:08:10,407 with over 30 years of experience with wildlife, 171 00:08:10,490 --> 00:08:12,784 from hoof stock to large apex predators. 172 00:08:12,826 --> 00:08:14,703 Spider monkey. 173 00:08:14,786 --> 00:08:18,039 Every living thing is a cryptid if it hasn't been seen yet. 174 00:08:18,123 --> 00:08:20,125 Our job is to come out here and isolate everything 175 00:08:20,166 --> 00:08:23,128 that it could be before we jump to that conclusion. 176 00:08:23,169 --> 00:08:26,756 If it's a nasty bite, what's gonna happen is if you get bit on the neck, 177 00:08:26,840 --> 00:08:28,842 for one, that's an extra vital organs. 178 00:08:28,925 --> 00:08:30,552 If it hits the jugular... 179 00:08:30,635 --> 00:08:31,594 ...it doesn't take much. 180 00:08:33,304 --> 00:08:34,639 My name is Justin Igualada. 181 00:08:34,681 --> 00:08:36,016 A lot of people call me Biteforce. 182 00:08:38,518 --> 00:08:40,478 I've been working with wildlife since I was a child. 183 00:08:41,688 --> 00:08:44,274 I've tracked and captured alligators, 184 00:08:44,357 --> 00:08:49,154 crocodiles, cougars, leopards, jags. 185 00:08:49,195 --> 00:08:52,032 I've got missing body parts. Accidents can happen. 186 00:08:52,115 --> 00:08:53,616 It's not a matter of "if," it's when. 187 00:08:53,700 --> 00:08:54,868 And it's how you handle it. 188 00:08:58,455 --> 00:09:00,874 I think that's our guy right there. 189 00:09:00,957 --> 00:09:03,752 Brittany, Troy and Justin meet with a local farmer 190 00:09:03,835 --> 00:09:06,588 who's had some strange animal deaths on his property. 191 00:09:06,671 --> 00:09:10,342 We have to walk away from this with as much evidence as possible 192 00:09:10,383 --> 00:09:13,720 for our best chance of being able to document whatever this creature is. 193 00:09:15,221 --> 00:09:16,848 - Hey. - Hey, how you doing? 194 00:09:16,890 --> 00:09:18,600 - Good. - Nice to meet you, Jeff. I'm Brittany. 195 00:09:18,683 --> 00:09:19,684 - Hi, Brittany. - Pleasure to meet you. 196 00:09:19,726 --> 00:09:21,102 - Nice to meet you. - Nice to meet you. Troy. 197 00:09:21,186 --> 00:09:23,396 My name is Jeff. I'm a farmer. 198 00:09:23,480 --> 00:09:25,899 I raise cattle and hay. 199 00:09:26,566 --> 00:09:28,443 I got 65 acres. 200 00:09:28,526 --> 00:09:29,694 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 202 00:09:31,738 --> 00:09:33,406 because it's getting after my animals. 203 00:09:35,909 --> 00:09:39,496 I came out here one morning to feed, 204 00:09:39,579 --> 00:09:43,667 and I found a 1,000-pound cow here in my cow enclosure 205 00:09:43,750 --> 00:09:45,418 with two puncture wounds on her neck. 206 00:09:46,169 --> 00:09:47,796 So where exactly was she sitting? 207 00:09:47,879 --> 00:09:49,255 Was she, like, behind the wall? 208 00:09:49,339 --> 00:09:51,758 She's about 20 feet from this wall right here 209 00:09:51,841 --> 00:09:54,344 in between them two posts just laying on that ground. 210 00:09:54,427 --> 00:09:56,513 It's deader than hell. 211 00:09:56,596 --> 00:09:59,599 And you looked it over, no mutilation, no blood, nothing? 212 00:09:59,683 --> 00:10:01,434 - 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 00:10:33,133 --> 00:10:34,092 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

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.