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These are the user uploaded subtitles that are being translated: 1 00:00:08,060 --> 00:00:12,560 A lost world of giants, 60 million years old. 2 00:00:14,160 --> 00:00:19,160 Ruled by a slithery monarch of unbelievable size. 3 00:00:20,360 --> 00:00:24,127 It sounds like fantasy, but it's not. 4 00:00:25,860 --> 00:00:28,627 This world was once here. 5 00:00:30,160 --> 00:00:33,160 Among these seams of coal lies the evidence. 6 00:00:33,194 --> 00:00:34,727 This is a once-in-a-lifetime discovery, 7 00:00:34,760 --> 00:00:37,227 really, this is just amazing. 8 00:00:37,260 --> 00:00:40,027 A treasure trove of fossils. 9 00:00:42,694 --> 00:00:45,827 One, a terrifying stealth killer, 10 00:00:45,860 --> 00:00:48,660 straight from our darkest nightmares. 11 00:00:48,694 --> 00:00:50,060 You make a discovery 12 00:00:50,094 --> 00:00:52,260 and you know that it's gonna be something 13 00:00:52,294 --> 00:00:54,627 that everyone knows about. 14 00:00:54,660 --> 00:00:57,160 Narrator: It's the biggest of its kind ever to live. 15 00:00:57,194 --> 00:01:02,327 Man: We're absolutely ecstatic, we were giddy schoolboys. 16 00:01:04,694 --> 00:01:09,127 Narrator: This mighty predator dominated then disappeared. 17 00:01:12,060 --> 00:01:15,960 Now, science is bringing it back. 18 00:01:18,327 --> 00:01:19,327 Wow. 19 00:01:20,694 --> 00:01:23,994 This is Titanoboa. 20 00:01:39,594 --> 00:01:42,894 65 and a half million years ago, 21 00:01:42,927 --> 00:01:46,694 a giant meteorite hits the earth near Mexico. 22 00:01:47,894 --> 00:01:51,860 The rule of the dinosaur is over. 23 00:01:54,227 --> 00:01:57,827 The next 10 million years is one of the most mysterious times 24 00:01:57,860 --> 00:01:59,627 in earth's history, 25 00:01:59,660 --> 00:02:03,227 and in one part, the South American tropics, 26 00:02:03,260 --> 00:02:05,827 the mystery is total. 27 00:02:05,860 --> 00:02:07,927 There is only silence, 28 00:02:07,960 --> 00:02:10,994 until something remarkable happens. 29 00:02:24,660 --> 00:02:26,927 This is Cerrejon. 30 00:02:29,660 --> 00:02:32,960 A grand canyon carved by vast machines, 31 00:02:32,994 --> 00:02:37,260 gouging out 35 million tons of coal every year. 32 00:02:39,160 --> 00:02:44,860 A hole in the earth the size of 8,000 football fields. 33 00:02:44,894 --> 00:02:48,027 But this mine is not just spitting out coal, 34 00:02:48,060 --> 00:02:51,294 it's also an accidental time machine. 35 00:02:52,760 --> 00:02:56,027 Every layer is a slice of earth's history. 36 00:02:57,660 --> 00:03:01,960 In December 2002, a sharp-eyed Colombian geology student, 37 00:03:01,994 --> 00:03:06,094 Fabiany Herrera, spotted something completely unexpected 38 00:03:06,127 --> 00:03:07,860 at the mine... 39 00:03:07,894 --> 00:03:10,627 A fossilized leaf. 40 00:03:10,660 --> 00:03:16,327 It was the first tiny step in an unparalleled scientific quest. 41 00:03:16,360 --> 00:03:17,960 Over the coming decade, 42 00:03:17,994 --> 00:03:22,760 it would reveal a vanished world and a lost time. 43 00:03:24,194 --> 00:03:27,927 Herrera showed the fossilized leaf to his mentor, 44 00:03:27,960 --> 00:03:30,594 an expert in prehistoric plants. 45 00:03:31,927 --> 00:03:33,594 Carlos Jaramillo: He brought the leaf back to the lab 46 00:03:33,627 --> 00:03:35,894 and I realized the amazing opportunity 47 00:03:35,927 --> 00:03:38,594 and potential that this mine had. 48 00:03:38,627 --> 00:03:40,994 Narrator: Carlos Jaramillo eventually got permission 49 00:03:41,027 --> 00:03:44,860 for a team of scientists to dig at Cerrejon. 50 00:03:44,894 --> 00:03:47,827 The results were extraordinary. 51 00:03:47,860 --> 00:03:52,127 The single leaf fossil was only the first clue to the lost world 52 00:03:52,160 --> 00:03:55,160 that emerged after the dinosaurs. 53 00:03:55,194 --> 00:03:58,960 They found the very first bean plants 54 00:03:58,994 --> 00:04:02,360 and fossils showing an explosion of plant families, 55 00:04:02,394 --> 00:04:04,360 like the banana, 56 00:04:04,394 --> 00:04:06,160 the palm, 57 00:04:06,194 --> 00:04:08,127 the avocado, 58 00:04:08,160 --> 00:04:10,627 and even chocolate. 59 00:04:10,660 --> 00:04:14,994 It all added up to a huge and stunning discovery. 60 00:04:16,327 --> 00:04:19,694 Jaramillo: The coal itself is a chunk of rainforest 61 00:04:19,727 --> 00:04:21,594 that is preserved back in time. 62 00:04:21,627 --> 00:04:22,860 Fabiany Herrera: We believe that 63 00:04:22,894 --> 00:04:23,894 this might represent 64 00:04:23,927 --> 00:04:25,360 the birth of modern rainforest 65 00:04:25,394 --> 00:04:26,560 in South America. 66 00:04:26,594 --> 00:04:31,294 Narrator: 60 million years ago, this massive bowl of coal 67 00:04:31,327 --> 00:04:35,027 contained the first recorded tropical rainforest. 68 00:04:36,727 --> 00:04:38,694 This is the new living earth 69 00:04:38,727 --> 00:04:43,327 that emerges after the meteorite destroys the old. 70 00:04:43,360 --> 00:04:48,660 Amid the coal dust, it seems almost impossible to imagine it. 71 00:04:50,127 --> 00:04:51,827 Jaramillo: Today it's a very dry place, 72 00:04:51,860 --> 00:04:54,727 but 60 million years ago, this was a tropical rainforest 73 00:04:54,760 --> 00:04:59,560 with tree birds meandering, big trees and mist. 74 00:04:59,594 --> 00:05:00,960 But this is much more 75 00:05:00,994 --> 00:05:03,360 than a story of trees and leaves. 76 00:05:03,394 --> 00:05:05,927 Jaramillo: We want to study the whole ecosystem, 77 00:05:05,960 --> 00:05:09,260 the geology, the plants, and the animals. 78 00:05:09,294 --> 00:05:10,627 It is those animals 79 00:05:10,660 --> 00:05:13,160 that will capture the world's imagination, 80 00:05:13,194 --> 00:05:17,894 identified from an amazing variety of clues... 81 00:05:17,927 --> 00:05:22,127 Ribs, shells, and vertebrae, or backbones. 82 00:05:23,660 --> 00:05:27,994 It will need a specialist in animal fossils to decode them. 83 00:05:29,960 --> 00:05:34,627 In 2004, Jon Bloch, an expert in fossil vertebrates 84 00:05:34,660 --> 00:05:37,594 traveled from the university of Florida to Cerrejon 85 00:05:37,627 --> 00:05:39,227 for the first time. 86 00:05:40,694 --> 00:05:42,260 He was astonished. 87 00:05:42,294 --> 00:05:44,994 A whole new ancient world of vertebrates, 88 00:05:45,027 --> 00:05:48,760 animals with backbones that would dominate earth's future, 89 00:05:48,794 --> 00:05:50,160 was opening up. 90 00:05:51,660 --> 00:05:53,194 The most exciting observation was that 91 00:05:53,227 --> 00:05:56,760 these were bones from the tropics of South America, 92 00:05:56,794 --> 00:05:58,060 from that 10 million years 93 00:05:58,094 --> 00:06:00,094 following the extinction of the dinosaurs. 94 00:06:00,127 --> 00:06:04,694 And why that was so exciting is that we had no record whatsoever 95 00:06:04,727 --> 00:06:08,660 of vertebrates on land during that time period. 96 00:06:08,694 --> 00:06:11,060 We just had no idea what was here. 97 00:06:11,094 --> 00:06:13,760 Narrator: Cerrejon was becoming a laboratory 98 00:06:13,794 --> 00:06:16,960 for investigating the lost tropical world. 99 00:06:18,394 --> 00:06:21,327 In 2005, Carlos Jaramillo joined 100 00:06:21,360 --> 00:06:24,827 the Smithsonian tropical research institute. 101 00:06:24,860 --> 00:06:27,260 It was able to guarantee this huge endeavor 102 00:06:27,294 --> 00:06:30,694 the long-term backing it would now need. 103 00:06:30,727 --> 00:06:32,327 Jaramillo: Every time we come here, 104 00:06:32,360 --> 00:06:35,227 we are mesmerized with all the new things we found 105 00:06:35,260 --> 00:06:38,027 that we never expected. 106 00:06:38,060 --> 00:06:42,060 Narrator: Jon Bloch and his colleagues begin their search. 107 00:06:42,094 --> 00:06:47,060 It is soon apparent that the lost world teems with animals. 108 00:06:47,094 --> 00:06:48,794 Bloch: Initially, when we started collecting, 109 00:06:48,827 --> 00:06:50,194 especially on this slope, 110 00:06:50,227 --> 00:06:51,194 there was so much bone 111 00:06:51,227 --> 00:06:53,927 that we picked up a lot of things all at once, 112 00:06:53,960 --> 00:06:56,827 it was almost like a salvage kind of operation. 113 00:06:56,860 --> 00:06:58,094 Narrator: It's also clear 114 00:06:58,127 --> 00:07:01,327 that two creatures particularly thrive. 115 00:07:01,360 --> 00:07:04,660 Bloch: This is a piece of a very large turtle here, 116 00:07:04,694 --> 00:07:06,160 and then right next to it, 117 00:07:06,194 --> 00:07:09,227 there's a backbone of a very large crocodile, 118 00:07:09,260 --> 00:07:11,027 beautifully preserved. 119 00:07:11,060 --> 00:07:14,194 Narrator: The sheer scale of the fossils is amazing. 120 00:07:14,227 --> 00:07:17,794 Turtles with shells the size of pool tables, 121 00:07:17,827 --> 00:07:21,894 snub nosed crocodiles as long as an SUV, 122 00:07:21,927 --> 00:07:24,560 and species never seen before. 123 00:07:24,594 --> 00:07:27,227 Bloch: We would pick up things very quickly, wrap them up, 124 00:07:27,260 --> 00:07:30,927 so we could clean them back at the lab and then study them. 125 00:07:32,160 --> 00:07:34,127 The turtle and crocodile fossils 126 00:07:34,160 --> 00:07:36,160 were temporarily loaned to the research team 127 00:07:36,194 --> 00:07:39,027 by the Colombian geological survey. 128 00:07:43,360 --> 00:07:47,227 Then, one night at the lab at the university of Florida, 129 00:07:47,260 --> 00:07:49,960 something strange begins to happen. 130 00:07:50,994 --> 00:07:52,860 Grad student Alex Hastings 131 00:07:52,894 --> 00:07:56,194 is sorting yet another box of fossils from Cerrejon. 132 00:07:57,327 --> 00:07:58,927 Alex Hastings: I received the fossils 133 00:07:58,960 --> 00:08:01,194 and was just unpacking them late one night. 134 00:08:01,227 --> 00:08:04,727 All of these were labeled -croc vert.- 135 00:08:04,760 --> 00:08:07,827 I get out several crocodile vertebrae. 136 00:08:07,860 --> 00:08:09,927 A couple of vertebrae did not match, 137 00:08:09,960 --> 00:08:12,194 they were very, very distinct, very large, 138 00:08:12,227 --> 00:08:14,927 and I didn't know exactly what they were. 139 00:08:14,960 --> 00:08:16,327 Other than that I knew 140 00:08:16,360 --> 00:08:19,194 that they were definitely not of crocodiles. 141 00:08:23,627 --> 00:08:25,994 Narrator: Another grad student, Jason Bourne, 142 00:08:26,027 --> 00:08:30,127 a reptile specialist, is also working late that night. 143 00:08:30,160 --> 00:08:31,594 Jason Bourne: So I was just coming back from class 144 00:08:31,627 --> 00:08:33,094 and Alex was there, 145 00:08:33,127 --> 00:08:34,894 and he just had a couple of things he wasn't sure about, 146 00:08:34,927 --> 00:08:37,794 and so he said, do you have any ideas what this might be? 147 00:08:37,827 --> 00:08:39,127 And I picked it up 148 00:08:39,160 --> 00:08:40,694 and I just kind of stared at it for a second. 149 00:08:40,727 --> 00:08:43,760 It was, you know, crushed pretty flat. 150 00:08:43,794 --> 00:08:45,294 My eyes got really wide 151 00:08:45,327 --> 00:08:48,794 and I was like, oh, this is a, you know, giant snake. 152 00:08:51,027 --> 00:08:53,660 Hastings: Once we compared that to modern snakes, 153 00:08:53,694 --> 00:08:54,960 it became incredibly clear 154 00:08:54,994 --> 00:08:57,627 that they were definitely snake vertebrae, 155 00:08:57,660 --> 00:08:58,594 and we were able to figure out 156 00:08:58,627 --> 00:09:01,360 that we really had, not only a large snake, 157 00:09:01,394 --> 00:09:06,194 but the largest snake that has been known to science. 158 00:09:06,227 --> 00:09:08,694 Narrator: It hardly seems possible. 159 00:09:08,727 --> 00:09:10,560 The vertebrae indicates a snake 160 00:09:10,594 --> 00:09:14,060 vastly bigger than any snake today. 161 00:09:14,094 --> 00:09:18,960 So big that it stretches the entire length of the lab. 162 00:09:20,960 --> 00:09:22,860 Bourne: Probably this big. 163 00:09:22,894 --> 00:09:24,927 Hastings: That's probably a bit smaller. 164 00:09:24,960 --> 00:09:27,627 We were absolutely ecstatic, it was a very exciting moment, 165 00:09:27,660 --> 00:09:30,994 and for that evening, we were the only people in the world 166 00:09:31,027 --> 00:09:32,627 that knew about it at the time. 167 00:09:32,660 --> 00:09:33,960 It wasn't until the next day 168 00:09:33,994 --> 00:09:35,794 we started bringing in Jon and everybody else. 169 00:09:35,827 --> 00:09:38,694 So for one evening, we're the only people that knew 170 00:09:38,727 --> 00:09:41,327 we had this enormous, massive snake, 171 00:09:41,360 --> 00:09:43,794 and we were very, very excited. 172 00:09:43,827 --> 00:09:45,227 Incredible though it is, 173 00:09:45,260 --> 00:09:48,027 it seems two grad students have on their hands 174 00:09:48,060 --> 00:09:51,560 one of the biggest discoveries of the century. 175 00:09:51,594 --> 00:09:54,327 It's like finding t-Rex. 176 00:09:54,360 --> 00:09:57,260 The next morning, a third person, Jon Bloch, 177 00:09:57,294 --> 00:09:59,594 is let in on the secret. 178 00:09:59,627 --> 00:10:00,727 Bourne: I just couldn't wait to get in the next day 179 00:10:00,760 --> 00:10:01,894 and tell Jon what happened. 180 00:10:01,927 --> 00:10:03,360 You know, I just remember saying, 181 00:10:03,394 --> 00:10:05,027 do you know you have the largest snake in the world? 182 00:10:05,060 --> 00:10:07,027 And his face just kind of dropped, 183 00:10:07,060 --> 00:10:09,194 and, you know, he was just like, are you kidding me? 184 00:10:09,227 --> 00:10:10,694 I think, probably, 185 00:10:10,727 --> 00:10:12,960 my reaction was pretty similar to the reaction 186 00:10:12,994 --> 00:10:16,094 that maybe my seven-year-old son would have experienced. 187 00:10:16,127 --> 00:10:18,594 And just complete excitement and awe 188 00:10:18,627 --> 00:10:20,627 that such a huge snake exists. 189 00:10:20,660 --> 00:10:22,027 It is a sublime moment 190 00:10:22,060 --> 00:10:24,894 that most scientists can only dream of. 191 00:10:24,927 --> 00:10:26,594 For a few precious hours, 192 00:10:26,627 --> 00:10:30,027 the two young students and their teacher hold a secret 193 00:10:30,060 --> 00:10:33,894 that will open up a whole new chapter in natural history. 194 00:10:35,727 --> 00:10:37,160 Bloch: During the course of your career, 195 00:10:37,194 --> 00:10:39,560 you don't have a lot of moments where you make a discovery, 196 00:10:39,594 --> 00:10:42,027 and you look at it, and you just sort of get that feeling, 197 00:10:42,060 --> 00:10:44,860 you know that you're really not gonna be the only person 198 00:10:44,894 --> 00:10:46,694 that knows about this thing, 199 00:10:46,727 --> 00:10:49,927 that it's gonna be something that everyone knows about. 200 00:10:49,960 --> 00:10:51,927 The extraordinary night in the lab 201 00:10:51,960 --> 00:10:56,127 will propel Jon Bloch into an age-old human obsession. 202 00:10:57,660 --> 00:11:01,827 Snakes have always been symbols of threat and danger. 203 00:11:05,927 --> 00:11:08,260 From the serpent in the garden of eden, 204 00:11:08,294 --> 00:11:11,194 to the mythical dragon snakes gave rise to, 205 00:11:11,227 --> 00:11:16,960 they are the beasts humans must fight or be destroyed by. 206 00:11:16,994 --> 00:11:19,694 An animal that strikes awe and terror 207 00:11:19,727 --> 00:11:23,894 into cultures from ancient China to the new world. 208 00:11:28,260 --> 00:11:32,327 There are frighteningly good reasons for these fears. 209 00:11:32,360 --> 00:11:35,260 Around a million people are bitten by venomous snakes 210 00:11:35,294 --> 00:11:36,694 each year. 211 00:11:36,727 --> 00:11:39,327 Up to 90,000 die. 212 00:11:39,360 --> 00:11:44,760 Tens of millions are gripped by snake phobia. 213 00:11:44,794 --> 00:11:48,694 The giant discovered in Cerrejon, though long extinct, 214 00:11:48,727 --> 00:11:53,594 will add an unimaginable new dimension to snake lore. 215 00:11:53,627 --> 00:11:57,660 But the single vertebra is only the start. 216 00:11:57,694 --> 00:12:00,194 The team's investigation will take them away 217 00:12:00,227 --> 00:12:01,927 from the long dead, 218 00:12:01,960 --> 00:12:06,127 into the living world of large snakes. 219 00:12:06,160 --> 00:12:09,027 From there, they will enter a time tunnel 220 00:12:09,060 --> 00:12:12,560 and confront a creature unlike any other. 221 00:12:12,594 --> 00:12:16,894 The scourge of the lost rainforests of South America. 222 00:12:16,927 --> 00:12:20,960 A predator squeezing the life out of its victims. 223 00:12:22,027 --> 00:12:25,594 The snake to beat all snakes. 224 00:12:29,960 --> 00:12:33,560 Man: It tagged you good, look at that, Jesus. 225 00:12:33,594 --> 00:12:35,594 Narrator: It was the fossils unearthed 226 00:12:35,627 --> 00:12:37,627 in the vast coalmine of Cerrejon 227 00:12:37,660 --> 00:12:41,794 that opened up the lost world of 60 million years ago. 228 00:12:41,827 --> 00:12:44,994 But these ancient bones give only a glimpse 229 00:12:45,027 --> 00:12:47,594 of the creatures that live there. 230 00:12:47,627 --> 00:12:49,594 To see the past more clearly, 231 00:12:49,627 --> 00:12:53,894 the team turn their attention to the animals of today. 232 00:12:57,194 --> 00:12:59,660 After the students' discovery in the lab, 233 00:12:59,694 --> 00:13:02,060 the next stop for the investigating scientists 234 00:13:02,094 --> 00:13:04,327 is the collection of modern snake skeletons 235 00:13:04,360 --> 00:13:07,627 at the Florida museum of natural history. 236 00:13:09,627 --> 00:13:12,994 Its biggest specimen is from an anaconda, 237 00:13:13,027 --> 00:13:15,760 the heaviest snake living today. 238 00:13:17,060 --> 00:13:19,194 How will its backbone compare 239 00:13:19,227 --> 00:13:22,227 with the giant vertebra from Cerrejon? 240 00:13:23,994 --> 00:13:26,994 Bloch: We went and got a skeleton of a 17-foot anaconda, 241 00:13:27,027 --> 00:13:29,794 which was the largest anaconda that we had in our collections. 242 00:13:29,827 --> 00:13:32,060 That's a big snake. 243 00:13:32,094 --> 00:13:34,694 The largest piece of the backbone of that snake, 244 00:13:34,727 --> 00:13:37,060 and it was about this big, 245 00:13:37,094 --> 00:13:39,894 compared to the vertebra that we've just unwrapped, 246 00:13:39,927 --> 00:13:41,560 which was about this big. 247 00:13:41,594 --> 00:13:43,860 So, you know, I thought, well, my goodness, 248 00:13:43,894 --> 00:13:47,860 if this is 17 feet, then this thing must be 80 feet. 249 00:13:49,927 --> 00:13:51,094 Narrator: The team is finding itself 250 00:13:51,127 --> 00:13:54,027 swept up in an enduring pursuit... 251 00:13:54,060 --> 00:13:57,260 The quest for the world's longest snake. 252 00:13:58,827 --> 00:14:02,694 One pioneer was the Victorian explorer Percy Fawcett 253 00:14:02,727 --> 00:14:05,760 who claimed to have seen a 60-foot-long anaconda 254 00:14:05,794 --> 00:14:08,727 in the South American rainforest. 255 00:14:08,760 --> 00:14:10,694 But he went missing in the forest 256 00:14:10,727 --> 00:14:13,560 before supplying any evidence 257 00:14:13,594 --> 00:14:16,027 and was never seen again. 258 00:14:16,060 --> 00:14:20,027 In 1912, the former U.S. President Theodore Roosevelt 259 00:14:20,060 --> 00:14:23,694 offered a prize at the Bronx zoo of $1,000 260 00:14:23,727 --> 00:14:25,660 to anyone who could produce a snake 261 00:14:25,694 --> 00:14:28,060 of more than 30 feet in length. 262 00:14:29,727 --> 00:14:32,327 Explorers and collectors scoured the globe, 263 00:14:32,360 --> 00:14:34,227 from Peru to the Congo. 264 00:14:34,260 --> 00:14:38,794 But a 30-foot snake remained tantalizingly elusive. 265 00:14:40,060 --> 00:14:43,127 A species from Asia, the reticulated python, 266 00:14:43,160 --> 00:14:44,660 has come the closest, 267 00:14:44,694 --> 00:14:49,127 measuring up to a staggering 28 and a half feet. 268 00:14:49,160 --> 00:14:51,894 But not one snake has yet been brought forward 269 00:14:51,927 --> 00:14:55,560 that can claim Roosevelt's century-old prize. 270 00:14:59,794 --> 00:15:02,294 Zoos across the world remain on the lookout 271 00:15:02,327 --> 00:15:04,960 for the longest snake. 272 00:15:04,994 --> 00:15:08,594 One of the oldest is the zoological society of London, 273 00:15:08,627 --> 00:15:12,127 where Ian Stephen is the resident snake expert. 274 00:15:13,660 --> 00:15:15,827 Ian Stephen: Whether it's the biggest dinosaur on earth, 275 00:15:15,860 --> 00:15:17,360 you know, the blue whale, 276 00:15:17,394 --> 00:15:20,627 people are always fascinated by big animals. 277 00:15:20,660 --> 00:15:23,694 It's almost every reptile curator's dream, 278 00:15:23,727 --> 00:15:25,794 I think, sort of secretly 279 00:15:25,827 --> 00:15:29,794 to have the biggest snake in the world. 280 00:15:29,827 --> 00:15:31,894 Narrator: But the size of these modern snakes 281 00:15:31,927 --> 00:15:33,160 is nothing compared with that 282 00:15:33,194 --> 00:15:36,560 suggested by the find at Cerrejon. 283 00:15:42,827 --> 00:15:45,994 After the discovery of the giant vertebra, 284 00:15:46,027 --> 00:15:50,660 Jon Bloch contacted Jason head, an expert on extinct snakes, 285 00:15:50,694 --> 00:15:52,760 at the university of Nebraska. 286 00:15:52,794 --> 00:15:55,660 We were unwrapping fossils from Cerrejon this morning, 287 00:15:55,694 --> 00:15:56,660 we found something really incredible 288 00:15:56,694 --> 00:15:58,160 that I wanted to show you. 289 00:15:58,194 --> 00:16:00,894 By now, more and more huge vertebrae 290 00:16:00,927 --> 00:16:03,560 were being unearthed at Cerrejon. 291 00:16:03,594 --> 00:16:06,694 Jon began by showing one of the smaller examples. 292 00:16:06,727 --> 00:16:09,760 I think it's a snake fossil, but it's big. 293 00:16:09,794 --> 00:16:11,360 Yeah, sure. 294 00:16:11,394 --> 00:16:15,827 Jason still vividly remembers that video conference. 295 00:16:15,860 --> 00:16:17,894 Jason head: Jon's students had actually realized 296 00:16:17,927 --> 00:16:19,927 that they had a very large snake fossil. 297 00:16:19,960 --> 00:16:21,927 And Jon brought it to the video camera, 298 00:16:21,960 --> 00:16:23,694 and he held it up and said, 299 00:16:23,727 --> 00:16:26,594 look at this, I think this must be the world's biggest snake. 300 00:16:26,627 --> 00:16:28,694 That's definitely a snake, 301 00:16:28,727 --> 00:16:31,594 and that specimen is about the same size as Gigantophis, 302 00:16:31,627 --> 00:16:35,227 so that's the same size as the largest known snake. 303 00:16:35,260 --> 00:16:38,794 Narrator: Gigantophis, which Jason had recently measured, 304 00:16:38,827 --> 00:16:43,327 was the largest snake so far known to have lived on earth. 305 00:16:43,360 --> 00:16:45,127 36 million years ago, 306 00:16:45,160 --> 00:16:48,294 it preyed on primitive elephants in the swamps of Egypt 307 00:16:48,327 --> 00:16:52,194 and measured a colossal 33 feet. 308 00:16:52,227 --> 00:16:56,560 Jason's world record holder was now under challenge. 309 00:16:56,594 --> 00:16:58,627 Head: The vertebra he showed me was about the same size, 310 00:16:58,660 --> 00:17:00,160 and I was kind of, you know, 311 00:17:00,194 --> 00:17:03,994 it's big, but maybe it's not that big. 312 00:17:04,027 --> 00:17:05,794 Bloch: Okay, yeah, we have others. 313 00:17:05,827 --> 00:17:07,560 I mean, he was impressed, it was a big snake, 314 00:17:07,594 --> 00:17:10,227 but he wasn't really taken aback, he'd seen bigger. 315 00:17:10,260 --> 00:17:13,094 So, at that point, I felt like I hadn't really given him 316 00:17:13,127 --> 00:17:14,594 the correct impression. 317 00:17:14,627 --> 00:17:16,760 Narrator: Jon had a larger vertebra from Cerrejon 318 00:17:16,794 --> 00:17:18,594 up his sleeve. 319 00:17:18,627 --> 00:17:20,794 Head: And he said, well, hold on, I'll be right back. 320 00:17:20,827 --> 00:17:22,094 Bloch: So I went running out of the room 321 00:17:22,127 --> 00:17:23,694 and grabbed the biggest one I could find 322 00:17:23,727 --> 00:17:24,927 that we had unwrapped. 323 00:17:24,960 --> 00:17:28,294 Head: He came back with a much bigger vertebra. 324 00:17:28,327 --> 00:17:30,660 Bloch: This is bigger. 325 00:17:30,694 --> 00:17:34,227 Head: Seeing him holding this, very excited, in his hand. 326 00:17:34,260 --> 00:17:36,894 That is the world's largest snake, Jon. 327 00:17:36,927 --> 00:17:38,227 I was absolutely surprised. 328 00:17:38,260 --> 00:17:40,894 That's the largest snake I've ever seen. 329 00:17:40,927 --> 00:17:43,260 That's got to be the largest snake in the world, Jon. 330 00:17:43,294 --> 00:17:45,327 If you would have told me that there were snakes that big 331 00:17:45,360 --> 00:17:47,760 in the fossil record, I probably wouldn't have believed you. 332 00:17:47,794 --> 00:17:49,760 Bloch: That was impressive enough. 333 00:17:49,794 --> 00:17:52,594 He said, Jon, look at your office door. 334 00:17:52,627 --> 00:17:54,127 And I looked over to the office door, 335 00:17:54,160 --> 00:17:57,327 and he said, if that snake were to come into your office, 336 00:17:57,360 --> 00:17:59,860 it would have to squeeze through the doorway 337 00:17:59,894 --> 00:18:02,060 as it was slithering in. 338 00:18:02,094 --> 00:18:06,660 And that was enough to set the impression completely. 339 00:18:06,694 --> 00:18:08,094 Narrator: By the end of the call, 340 00:18:08,127 --> 00:18:12,294 Jason head was convinced Jon had found something special. 341 00:18:12,327 --> 00:18:14,927 Head: Most of the other fossil snakes we find 342 00:18:14,960 --> 00:18:17,660 are kind of in the vicinity of the largest estimates 343 00:18:17,694 --> 00:18:19,094 of the biggest giant snakes today, 344 00:18:19,127 --> 00:18:22,560 which has kind of suggested, at least to me, previously, 345 00:18:22,594 --> 00:18:25,794 that maybe that was roughly the maximum size snakes could get, 346 00:18:25,827 --> 00:18:27,960 either physiologically or ecologically. 347 00:18:27,994 --> 00:18:30,194 I'm getting a flight ticket and heading down there right now. 348 00:18:30,227 --> 00:18:31,227 Bloch: Okay. 349 00:18:36,594 --> 00:18:38,060 Narrator: At the Florida lab, 350 00:18:38,094 --> 00:18:39,994 Jason's first line of investigation 351 00:18:40,027 --> 00:18:43,060 is into the kind of snake this is. 352 00:18:44,627 --> 00:18:46,927 Is it related to a type already known, 353 00:18:46,960 --> 00:18:50,660 or something completely new? 354 00:18:50,694 --> 00:18:52,127 With only vertebrae to go on, 355 00:18:52,160 --> 00:18:57,694 this is a complex task requiring an expert eye. 356 00:18:57,727 --> 00:18:58,760 Head: In the case of snakes, 357 00:18:58,794 --> 00:19:00,027 figuring out who's related to who 358 00:19:00,060 --> 00:19:02,127 would be easy if we had complete skulls. 359 00:19:02,160 --> 00:19:03,694 But most of the fossil record of snakes 360 00:19:03,727 --> 00:19:06,060 consist of isolated backbones. 361 00:19:06,094 --> 00:19:08,660 Narrator: But snake skulls are extremely fragile 362 00:19:08,694 --> 00:19:10,827 and hard to find. 363 00:19:10,860 --> 00:19:12,827 So Jason has to begin a process 364 00:19:12,860 --> 00:19:15,960 of comparing these isolated backbones 365 00:19:15,994 --> 00:19:19,127 with a huge range of snakes in his database, 366 00:19:19,160 --> 00:19:22,327 both living and dead. 367 00:19:22,360 --> 00:19:24,560 Head: In order to figure out who this animal's related to 368 00:19:24,594 --> 00:19:27,694 and who it was, what we need to do is make comparisons 369 00:19:27,727 --> 00:19:29,760 between subtle changes in the anatomy, 370 00:19:29,794 --> 00:19:33,094 between this animal and other living and fossil snakes. 371 00:19:34,594 --> 00:19:37,227 Narrator: All snakes have one thing in common... 372 00:19:37,260 --> 00:19:39,927 They are a type of lizard that lost their legs 373 00:19:39,960 --> 00:19:42,327 as they developed elongated bodies. 374 00:19:43,760 --> 00:19:46,560 They may look similar to the untrained eye, 375 00:19:46,594 --> 00:19:50,260 but their evolution is highly varied. 376 00:19:50,294 --> 00:19:53,794 Somewhere about 100 million years ago or so, 377 00:19:53,827 --> 00:19:56,227 snakes evolved this elongate, limbless, 378 00:19:56,260 --> 00:19:58,194 or limb-reduced body plan. 379 00:19:58,227 --> 00:20:01,060 And in that body plan or that body form, 380 00:20:01,094 --> 00:20:02,694 they immediately started inhabiting 381 00:20:02,727 --> 00:20:03,994 different environments. 382 00:20:04,027 --> 00:20:06,127 They were burrowers, they were swimmers, 383 00:20:06,160 --> 00:20:08,894 and the body itself, the actual vertebral column 384 00:20:08,927 --> 00:20:10,627 and the ribs and that muscular system, 385 00:20:10,660 --> 00:20:12,694 that becomes the method of locomotion, 386 00:20:12,727 --> 00:20:14,760 that becomes their means of moving around, 387 00:20:14,794 --> 00:20:17,160 that snakelike motion that you see. 388 00:20:17,194 --> 00:20:19,594 It seems almost counterintuitive 389 00:20:19,627 --> 00:20:21,227 that an animal should lose its limbs. 390 00:20:21,260 --> 00:20:23,227 And yet the snakes are still with us today 391 00:20:23,260 --> 00:20:26,694 and are actually one of the most successful groups of vertebrates 392 00:20:26,727 --> 00:20:28,560 on the planet. 393 00:20:28,594 --> 00:20:33,660 Narrator: Over their 100 million years, snakes have diversified. 394 00:20:33,694 --> 00:20:36,627 Some families have developed super-toxic venom 395 00:20:36,660 --> 00:20:42,127 with specialized fangs, like cobras, vipers and rattlesnakes. 396 00:20:42,160 --> 00:20:44,060 Others don't use venom at all, 397 00:20:44,094 --> 00:20:47,294 but kill by crushing the life out of their prey... 398 00:20:47,327 --> 00:20:48,927 The constrictors. 399 00:20:50,927 --> 00:20:53,894 From his initial comparison of the Cerrejon vertebra 400 00:20:53,927 --> 00:20:56,360 with the backbones of modern snakes, 401 00:20:56,394 --> 00:21:00,794 Jason soon concludes that it is similar to boas and pythons, 402 00:21:00,827 --> 00:21:03,294 both constrictors. 403 00:21:03,327 --> 00:21:04,660 The group of snakes that it belongs to 404 00:21:04,694 --> 00:21:06,294 are absolutely not venomous. 405 00:21:06,327 --> 00:21:08,127 They, of course, acquire their prey in a very different way, 406 00:21:08,160 --> 00:21:10,760 and that's the kind of iconic constricting behavior 407 00:21:10,794 --> 00:21:13,160 that everyone thinks about when they think about boas 408 00:21:13,194 --> 00:21:16,127 and pythons and anacondas and things like that. 409 00:21:16,160 --> 00:21:18,227 To advance their investigation, 410 00:21:18,260 --> 00:21:19,227 the scientists must enter 411 00:21:19,260 --> 00:21:22,260 the extraordinary and highly successful world 412 00:21:22,294 --> 00:21:24,627 of the big constrictors. 413 00:21:24,660 --> 00:21:29,627 How do they hunt, kill, breed, and adapt? 414 00:21:29,660 --> 00:21:32,694 There's one surprising place to find out, 415 00:21:32,727 --> 00:21:35,027 just 500 Miles from the lab. 416 00:21:40,227 --> 00:21:42,827 Jon Bloch heads for the Florida everglades, 417 00:21:42,860 --> 00:21:46,694 now home to one of the biggest snakes in the world. 418 00:21:46,727 --> 00:21:49,694 It can grow to over 20 feet in length, 419 00:21:49,727 --> 00:21:52,227 and it's not native to Florida. 420 00:21:52,260 --> 00:21:55,694 It's the Burmese python. 421 00:21:55,727 --> 00:21:59,660 Jon's guide is a local reptile expert, Shawn Heflick. 422 00:22:11,827 --> 00:22:15,094 Before they go hunting, Jon shows Shawn the vertebra 423 00:22:15,127 --> 00:22:17,660 from the giant snake from Cerrejon. 424 00:22:17,694 --> 00:22:18,760 We've got a snake for comparison. 425 00:22:18,794 --> 00:22:20,660 Shawn Heflick: Uh-oh, you got goodies? 426 00:22:20,694 --> 00:22:22,860 Bloch: Yeah. 427 00:22:22,894 --> 00:22:27,994 What we've got here is the cast of the original bone. 428 00:22:28,027 --> 00:22:29,360 This is one of the vertebra. 429 00:22:29,394 --> 00:22:30,294 Heflick: Wait a minute, what? 430 00:22:30,327 --> 00:22:31,794 Yeah. 431 00:22:31,827 --> 00:22:34,360 So this is a vertebra, so one piece of the backbone. 432 00:22:34,394 --> 00:22:35,927 Heflick: Get out of here. 433 00:22:35,960 --> 00:22:37,627 Wow. 434 00:22:37,660 --> 00:22:39,227 That is impressive. 435 00:22:40,694 --> 00:22:42,760 This is a modern-sized whale vertebra. 436 00:22:42,794 --> 00:22:44,560 That's insane. 437 00:22:44,594 --> 00:22:47,727 Bloch: And this isn't even the largest bone that we've found. 438 00:22:47,760 --> 00:22:49,194 I'm almost speechless, 439 00:22:49,227 --> 00:22:54,727 because that is truly a monstrosity among snakes. 440 00:22:54,760 --> 00:23:00,760 It's hard for me to conceive an animal of that mass and size 441 00:23:00,794 --> 00:23:02,894 having lived on this planet. 442 00:23:12,160 --> 00:23:13,960 The snakes in today's everglades 443 00:23:13,994 --> 00:23:18,127 may be 60 million years away from the lost world of Cerrejon, 444 00:23:18,160 --> 00:23:21,894 but now, as then, they're certainly thriving. 445 00:23:24,860 --> 00:23:26,994 Seen a lot of pythons in this area right here, 446 00:23:27,027 --> 00:23:28,360 it's got everything they need... 447 00:23:28,394 --> 00:23:32,094 A lot of cover, access to water, a lot of prey. 448 00:23:40,860 --> 00:23:43,360 Narrator: But there's a curious twist. 449 00:23:43,394 --> 00:23:44,994 The Burmese python belongs 450 00:23:45,027 --> 00:23:47,860 in the rainforests of southeast Asia. 451 00:23:47,894 --> 00:23:50,127 It shouldn't be here at all. 452 00:23:53,694 --> 00:23:57,660 In 1992, hurricane Andrew hit Florida. 453 00:23:59,360 --> 00:24:02,060 Among its casualties was an animal warehouse 454 00:24:02,094 --> 00:24:04,594 containing hundreds of Burmese pythons, 455 00:24:04,627 --> 00:24:06,694 destined for the pet trade. 456 00:24:08,160 --> 00:24:11,227 Around 900 escaped. 457 00:24:11,260 --> 00:24:14,627 They flourished in the hot, humid conditions, 458 00:24:14,660 --> 00:24:17,727 devouring everything in their path. 459 00:24:19,127 --> 00:24:20,827 Over the past 19 years, 460 00:24:20,860 --> 00:24:22,994 the number of pythons on the loose 461 00:24:23,027 --> 00:24:26,060 is thought to have risen to 10,000. 462 00:24:29,160 --> 00:24:32,560 Shawn Heflick is licensed by the state of Florida to catch them, 463 00:24:32,594 --> 00:24:35,994 in an effort to keep the population under control. 464 00:24:37,794 --> 00:24:40,627 Nothing is safe from these rampant pythons... 465 00:24:40,660 --> 00:24:44,527 Birds, mammals, reptiles are all easy victims. 466 00:24:45,994 --> 00:24:50,927 Even the top predators, the alligators, are potential prey. 467 00:24:56,094 --> 00:24:58,160 It may be a long distant echo 468 00:24:58,194 --> 00:25:02,094 of how Jon's giant snake once terrorized Cerrejon. 469 00:25:03,627 --> 00:25:05,660 There are other snakes here, too, 470 00:25:05,694 --> 00:25:08,827 like the eastern diamondback, a venomous rattlesnake. 471 00:25:10,594 --> 00:25:14,227 Be aware, you're in eastern diamondback territory as well. 472 00:25:14,260 --> 00:25:15,527 Okay. 473 00:25:16,927 --> 00:25:18,827 We've got some saw grass here, so watch... 474 00:25:18,860 --> 00:25:20,260 I see that. 475 00:25:20,294 --> 00:25:23,060 ...Watch your face as you pile through. 476 00:25:23,094 --> 00:25:26,694 See, there's a lot of really good cover in here. 477 00:25:26,727 --> 00:25:29,160 They're so hard to spot. 478 00:25:29,194 --> 00:25:32,560 Narrator: Snakes are the snipers of the animal world. 479 00:25:33,660 --> 00:25:37,194 First, find a good place for an ambush. 480 00:25:38,694 --> 00:25:41,694 Modern or ancient, small or giant, 481 00:25:41,727 --> 00:25:44,127 every snake needs somewhere to hide. 482 00:25:44,160 --> 00:25:45,994 Every once in a while I hear a little scurrying, 483 00:25:46,027 --> 00:25:47,227 but I'm assuming those are just rodents. 484 00:25:47,260 --> 00:25:48,694 Yeah, a lot of rodents in here, 485 00:25:48,727 --> 00:25:51,927 all these rock piles and all this cover. 486 00:25:51,960 --> 00:25:54,560 There could be a 16-foot Burm right there, 487 00:25:54,594 --> 00:25:56,794 unless it moves or you just happen to, you know, 488 00:25:56,827 --> 00:25:58,927 catch a little piece of it, 489 00:25:58,960 --> 00:26:00,660 you'd never know it was there. 490 00:26:00,694 --> 00:26:01,860 Sure. 491 00:26:01,894 --> 00:26:04,694 It's a needle in the haystack. 492 00:26:04,727 --> 00:26:06,360 Camouflage and concealment 493 00:26:06,394 --> 00:26:09,560 are part of the snake's arsenal. 494 00:26:09,594 --> 00:26:11,594 Their prey may move faster, 495 00:26:11,627 --> 00:26:16,727 so they must catch it by the speed of their initial strike. 496 00:26:16,760 --> 00:26:18,894 Jon, look over here. 497 00:26:18,927 --> 00:26:21,627 Yeah, that's python, no doubt. 498 00:26:21,660 --> 00:26:23,694 Over there. 499 00:26:23,727 --> 00:26:25,594 That's a good sized snake. 500 00:26:25,627 --> 00:26:28,027 This is not the whole thing, but it's definitely a snake. 501 00:26:28,060 --> 00:26:29,260 That's got me excited now. 502 00:26:29,294 --> 00:26:31,627 Oh, now you believe me that there are pythons here. 503 00:26:31,660 --> 00:26:33,627 They're here. Okay. 504 00:26:33,660 --> 00:26:34,994 See if we can find a live one. 505 00:26:35,027 --> 00:26:36,294 Alright. 506 00:26:36,327 --> 00:26:37,860 Heflick: I see, there's the fossil hunter in you, 507 00:26:37,894 --> 00:26:39,694 you're still looking for... 508 00:26:39,727 --> 00:26:41,660 Bloch: Yeah, this is the kind of thing I'm used to looking for. 509 00:26:41,694 --> 00:26:43,927 You're still looking for the dead stuff. 510 00:26:43,960 --> 00:26:46,294 I can appreciate that. 511 00:26:46,327 --> 00:26:47,927 Like a modern snake, 512 00:26:47,960 --> 00:26:51,660 the Cerrejon monster's forked tongue is a crucial organ, 513 00:26:51,694 --> 00:26:54,360 sensing the world around it. 514 00:26:54,394 --> 00:26:57,360 The fork in the tongue makes its surface area bigger 515 00:26:57,394 --> 00:26:59,294 and more sensitive. 516 00:26:59,327 --> 00:27:02,360 It may help snakes to detect the direction of prey 517 00:27:02,394 --> 00:27:04,094 and other items of interest, 518 00:27:04,127 --> 00:27:08,960 all the while staying hidden in the undergrowth. 519 00:27:11,194 --> 00:27:13,194 Oh, something? 520 00:27:13,227 --> 00:27:14,660 Like I say, 521 00:27:14,694 --> 00:27:17,794 you'd almost have to step on it, you know. 522 00:27:17,827 --> 00:27:19,227 Something moved in there. 523 00:27:19,260 --> 00:27:20,094 You hear something? 524 00:27:20,127 --> 00:27:21,594 I did. 525 00:27:23,960 --> 00:27:26,927 Heflick: Might be easier to find a 58-million-year-old animal, 526 00:27:26,960 --> 00:27:28,894 doesn't run from you, huh? 527 00:27:41,894 --> 00:27:43,994 The search continues. 528 00:27:45,394 --> 00:27:49,694 The everglades national park is 2,300 square Miles 529 00:27:49,727 --> 00:27:52,160 of land and water. 530 00:27:53,660 --> 00:27:55,260 The Burmese pythons have penetrated 531 00:27:55,294 --> 00:28:00,794 deep into these wetlands, by swimming from island to island. 532 00:28:03,660 --> 00:28:05,694 But the snake hunters' persistence 533 00:28:05,727 --> 00:28:08,660 will shortly pay off. 534 00:28:08,694 --> 00:28:11,860 Jon Bloch is about to see first-hand 535 00:28:11,894 --> 00:28:15,827 what constrictors are capable of. 536 00:28:15,860 --> 00:28:17,094 Heflick: Oh, right there, Jon, Jon, Jon. 537 00:28:17,127 --> 00:28:20,594 Bloch: Oh, God, look at that's huge. 538 00:28:20,627 --> 00:28:23,194 That's a big snake. 539 00:28:23,227 --> 00:28:24,827 So you're gonna grab it by the tail? 540 00:28:24,860 --> 00:28:27,727 Heflick: Yeah, we'll walk her back and, oh, yeah. 541 00:28:27,760 --> 00:28:28,594 Uh-huh. 542 00:28:28,627 --> 00:28:29,960 Not happy. 543 00:28:29,994 --> 00:28:30,960 Now that's the difference between these. 544 00:28:30,994 --> 00:28:32,627 This thing's strong. 545 00:28:32,660 --> 00:28:34,560 That's the difference between these in captivity 546 00:28:34,594 --> 00:28:39,960 and these wild caught ones, is not happy right now. 547 00:28:41,760 --> 00:28:44,694 So the whole game on this, so now she knows... 548 00:28:44,727 --> 00:28:46,560 Oh, that's a bad area. 549 00:28:46,594 --> 00:28:48,827 Narrator: Though the python kills by constriction 550 00:28:48,860 --> 00:28:50,827 and does not inject poison, 551 00:28:50,860 --> 00:28:53,194 it still has a ferocious bite to grab its prey. 552 00:28:53,227 --> 00:28:55,694 That's a younger Burmese python. 553 00:28:55,727 --> 00:28:57,694 It'll be a second, she'll realize you're back there, huh? 554 00:28:57,727 --> 00:28:58,760 She wants to go, go, go, 555 00:28:58,794 --> 00:28:59,960 and she's being restrained. 556 00:28:59,994 --> 00:29:01,894 Once the prey is in range, 557 00:29:01,927 --> 00:29:05,560 the snake launches itself like a heat-seeking missile. 558 00:29:06,627 --> 00:29:07,760 Oh, yeah. 559 00:29:07,794 --> 00:29:09,260 There we go. Nice. 560 00:29:09,294 --> 00:29:10,594 Okay, sweetie. 561 00:29:10,627 --> 00:29:11,560 Okay. 562 00:29:11,594 --> 00:29:13,260 Switch hands. Yeah. 563 00:29:13,294 --> 00:29:14,827 Beautiful. 564 00:29:14,860 --> 00:29:16,794 Heflick: She's not happy. No, she's not. 565 00:29:16,827 --> 00:29:17,894 Heflick: Not happy, but if you can do me a favor 566 00:29:17,927 --> 00:29:18,960 and grab that tail? 567 00:29:18,994 --> 00:29:19,927 Yeah. 568 00:29:19,960 --> 00:29:21,327 She's gonna musk. 569 00:29:21,360 --> 00:29:23,060 No, keep it back, keep it back, keep it back. 570 00:29:24,294 --> 00:29:27,194 That's what they do as a defense mechanism. 571 00:29:27,227 --> 00:29:30,627 Narrator: The snake sees Jon as a predator. 572 00:29:30,660 --> 00:29:32,094 Its instinctive reaction 573 00:29:32,127 --> 00:29:35,294 is to squirt the contents of its bowels all over him. 574 00:29:35,327 --> 00:29:37,194 Heflick: They're going to musk, they're gonna, you know, 575 00:29:37,227 --> 00:29:39,627 evacuate their bowels on a would-be predator. 576 00:29:39,660 --> 00:29:40,960 Okay. 577 00:29:40,994 --> 00:29:42,627 Heflick: And that's enough to get anybody to say, 578 00:29:42,660 --> 00:29:44,294 I don't know if I want to eat this thing or not. 579 00:29:44,327 --> 00:29:45,660 But let's unwind her. 580 00:29:45,694 --> 00:29:46,694 Okay. 581 00:29:46,727 --> 00:29:48,594 Just here. 582 00:29:48,627 --> 00:29:49,560 Yeah. 583 00:29:49,594 --> 00:29:50,860 Oh, she's heavy. 584 00:29:50,894 --> 00:29:52,027 She's powerful, isn't she? 585 00:29:52,060 --> 00:29:53,694 Yeah. 586 00:29:53,727 --> 00:29:55,760 She also has recurved teeth. 587 00:29:55,794 --> 00:29:57,360 Oh, did she get you? 588 00:29:57,394 --> 00:29:59,827 Yeah, just one little Nick and you see, you know, 589 00:29:59,860 --> 00:30:03,160 the teeth are pretty sharp, like hypodermic needles. 590 00:30:03,194 --> 00:30:05,827 The ancient snake's recurved teeth 591 00:30:05,860 --> 00:30:08,094 lock on to its prey. 592 00:30:08,127 --> 00:30:11,760 The more the prey struggles, the deeper the teeth go. 593 00:30:11,794 --> 00:30:14,227 Stephen: The bite is really just to secure the prey. 594 00:30:14,260 --> 00:30:18,294 So the snake is gonna obviously strike, 595 00:30:18,327 --> 00:30:19,894 bite the prey item, 596 00:30:19,927 --> 00:30:23,960 and literally get it secure in its jaws and then constrict. 597 00:30:23,994 --> 00:30:26,860 60 million years ago, as today, 598 00:30:26,894 --> 00:30:29,960 the constrictor throws coils around its victim 599 00:30:29,994 --> 00:30:31,527 and crushes it. 600 00:30:32,827 --> 00:30:35,627 Constriction is unique to snakes. 601 00:30:36,860 --> 00:30:39,360 Jon's getting his first view of it. 602 00:30:39,394 --> 00:30:40,560 She's got a pretty good lock on my arm. 603 00:30:40,594 --> 00:30:41,827 Bloch: Yeah, I can see that. 604 00:30:41,860 --> 00:30:42,994 We need to get her in a bag, 605 00:30:43,027 --> 00:30:44,694 I think my hand might be turning purple. 606 00:30:44,727 --> 00:30:45,960 When you're handling snakes, 607 00:30:45,994 --> 00:30:49,060 sometimes they then start constricting your arm. 608 00:30:49,094 --> 00:30:51,660 And it's when they do that, that you actually realize, 609 00:30:51,694 --> 00:30:54,660 wow, these snakes are just incredibly powerful, 610 00:30:54,694 --> 00:30:56,627 a muscle machine, if you like. 611 00:30:58,594 --> 00:30:59,927 A constrictor this size 612 00:30:59,960 --> 00:31:04,594 can exert a pressure of 30 pounds per square inch. 613 00:31:04,627 --> 00:31:05,860 On the human chest, 614 00:31:05,894 --> 00:31:09,594 it's equivalent to being crushed by a small car. 615 00:31:11,627 --> 00:31:12,860 As snakes get bigger, 616 00:31:12,894 --> 00:31:15,560 their muscles generate ever more force, 617 00:31:15,594 --> 00:31:18,960 and they can throw more loops around their prey. 618 00:31:18,994 --> 00:31:20,560 Heflick: If I was a prey item, 619 00:31:20,594 --> 00:31:24,227 she would constrict me until she constricted me so much, 620 00:31:24,260 --> 00:31:26,794 there was vasoconstriction constriction, and my heart 621 00:31:26,827 --> 00:31:28,727 would literally almost explode, 622 00:31:28,760 --> 00:31:30,594 because, you know, it just stops it, 623 00:31:30,627 --> 00:31:33,560 and there's so much pressure on your circulatory system, 624 00:31:33,594 --> 00:31:35,660 as well as suffocating you as well, 625 00:31:35,694 --> 00:31:37,694 you know, the prey item gets suffocated. 626 00:31:39,027 --> 00:31:41,127 Constriction is so effective 627 00:31:41,160 --> 00:31:44,527 that snakes can take on the largest prey. 628 00:31:45,794 --> 00:31:49,060 In Cerrejon, 60 million years ago, 629 00:31:49,094 --> 00:31:52,227 it would have been a battle of the giants. 630 00:31:53,594 --> 00:31:56,194 Magnificent. 631 00:31:56,227 --> 00:31:58,294 I don't know how you don't look at this and not go, -wow.- 632 00:31:58,327 --> 00:31:59,327 No, it's gorgeous. 633 00:31:59,360 --> 00:32:00,960 Truly a gorgeous animal. 634 00:32:00,994 --> 00:32:03,560 Bloch: But this is gonna come out of this habitat. 635 00:32:03,594 --> 00:32:06,227 We have to remove it, it doesn't belong here. 636 00:32:06,260 --> 00:32:07,894 Well, that can be useful for us, because... 637 00:32:07,927 --> 00:32:09,994 Despite Shawn's best efforts, 638 00:32:10,027 --> 00:32:15,094 it's an ongoing battle to keep the pythons in check. 639 00:32:15,127 --> 00:32:19,060 The most effective control so far has been cold winters. 640 00:32:19,094 --> 00:32:21,127 Big snakes need heat to thrive 641 00:32:21,160 --> 00:32:23,694 and are vulnerable to low temperatures, 642 00:32:23,727 --> 00:32:25,860 a phenomenon that may become relevant 643 00:32:25,894 --> 00:32:29,560 in explaining why the giant snakes at Cerrejon died out. 644 00:32:29,594 --> 00:32:31,360 Big female. 645 00:32:31,394 --> 00:32:34,627 But for now, there are more immediate questions. 646 00:32:36,660 --> 00:32:38,060 The initial evidence suggests 647 00:32:38,094 --> 00:32:41,994 the Cerrejon snake was the biggest that's ever lived. 648 00:32:45,727 --> 00:32:48,694 But precisely how big 649 00:32:48,727 --> 00:32:50,594 and what type? 650 00:32:54,994 --> 00:32:58,560 In the Florida lab, Jason head is narrowing the options 651 00:32:58,594 --> 00:33:00,594 by comparing the Cerrejon fossil 652 00:33:00,627 --> 00:33:03,094 with vertebrae from living snakes. 653 00:33:04,594 --> 00:33:07,160 The final choice comes down to a python 654 00:33:07,194 --> 00:33:10,060 or a group of so-call boid snakes, 655 00:33:10,094 --> 00:33:13,560 that includes boas and anacondas. 656 00:33:13,594 --> 00:33:14,860 If we compare the fossil 657 00:33:14,894 --> 00:33:17,194 with the vertebra of this living python, 658 00:33:17,227 --> 00:33:18,627 what we can see is that 659 00:33:18,660 --> 00:33:21,060 they're actually very similar to each other. 660 00:33:21,094 --> 00:33:23,627 However, there is a key feature of the fossil. 661 00:33:23,660 --> 00:33:26,360 Specifically, these two holes 662 00:33:26,394 --> 00:33:29,327 that we see on either side of the vertebra right here, 663 00:33:29,360 --> 00:33:32,294 that are not present in pythons. 664 00:33:32,327 --> 00:33:34,627 Having eliminated pythons, 665 00:33:34,660 --> 00:33:36,594 Jason knows what type of constrictor 666 00:33:36,627 --> 00:33:40,094 the Cerrejon giant must have been. 667 00:33:40,127 --> 00:33:41,294 It actually shared characters 668 00:33:41,327 --> 00:33:42,827 with boa constrictors, 669 00:33:42,860 --> 00:33:44,760 suggesting that they're closely related to each other, 670 00:33:44,794 --> 00:33:47,327 despite being very different in size. 671 00:33:48,860 --> 00:33:51,560 The Cerrejon snake was a gigantic relative 672 00:33:51,594 --> 00:33:53,760 of boas and anacondas, 673 00:33:53,794 --> 00:33:56,794 snakes that are still alive in South America today, 674 00:33:56,827 --> 00:33:58,294 though a fraction of the size 675 00:33:58,327 --> 00:34:01,660 of their 60-million-year-old forebear. 676 00:34:04,194 --> 00:34:07,060 Calculating the Cerrejon monster's exact size 677 00:34:07,094 --> 00:34:10,860 requires an ingenious and painstaking set of calculations 678 00:34:10,894 --> 00:34:14,294 from the vertebrae the team had collected back in Cerrejon. 679 00:34:14,327 --> 00:34:16,360 In order to tell how large a snake is, 680 00:34:16,394 --> 00:34:19,660 you have to know what part of the body the bone is from 681 00:34:19,694 --> 00:34:20,794 within the vertebral column. 682 00:34:20,827 --> 00:34:22,227 And the reason for that 683 00:34:22,260 --> 00:34:25,660 is because within the same exact skeleton of a snake, 684 00:34:25,694 --> 00:34:29,660 you can have very small ones and very large ones, 685 00:34:29,694 --> 00:34:32,194 depending on where you are in the position. 686 00:34:32,227 --> 00:34:33,694 The first question is 687 00:34:33,727 --> 00:34:35,794 how to work out where the fossil vertebra lay 688 00:34:35,827 --> 00:34:39,294 in the giant snake's spinal column. 689 00:34:39,327 --> 00:34:42,694 David Polly of Indiana University in Bloomington 690 00:34:42,727 --> 00:34:46,660 is drafted in to make a mathematical model. 691 00:34:46,694 --> 00:34:49,027 The first clue is the minute changes 692 00:34:49,060 --> 00:34:51,160 in the shape of a snake's vertebrae, 693 00:34:51,194 --> 00:34:54,094 which depend on where they're situated. 694 00:34:54,127 --> 00:34:55,760 David Polly: One of the things about snakes, 695 00:34:55,794 --> 00:34:58,627 even though they look like they're a long tube, 696 00:34:58,660 --> 00:35:01,827 they do different things with their neck 697 00:35:01,860 --> 00:35:03,594 and with their body and with their tail. 698 00:35:03,627 --> 00:35:06,227 Sometimes they strike, and sometimes they're slithering. 699 00:35:06,260 --> 00:35:09,194 So they've got lots of different muscles. 700 00:35:09,227 --> 00:35:12,594 It is these muscles that dictate the tiny differences 701 00:35:12,627 --> 00:35:16,094 in each vertebra's shape and proportion. 702 00:35:16,127 --> 00:35:17,660 As you go from the head of the snake 703 00:35:17,694 --> 00:35:19,060 to the tail of the snake, 704 00:35:19,094 --> 00:35:21,194 you get different lengths of these projections 705 00:35:21,227 --> 00:35:23,094 and different proportions. 706 00:35:23,127 --> 00:35:25,627 For his model, David Polly first creates 707 00:35:25,660 --> 00:35:29,694 a mathematical map of the Cerrejon vertebra. 708 00:35:29,727 --> 00:35:31,327 His ultimate aim is to work out 709 00:35:31,360 --> 00:35:35,594 exactly where it fits in the snake's body. 710 00:35:35,627 --> 00:35:37,960 So what we're looking at here 711 00:35:37,994 --> 00:35:41,360 is a stylized representation of this. 712 00:35:41,394 --> 00:35:47,560 This point here is this point, this point is the top up here, 713 00:35:47,594 --> 00:35:49,327 and these, this down here. 714 00:35:49,360 --> 00:35:52,660 So this represents the shape of this particular vertebra. 715 00:35:52,694 --> 00:35:54,327 Then, the shape and gradient 716 00:35:54,360 --> 00:35:57,160 of hundreds of vertebrae in modern boid snakes 717 00:35:57,194 --> 00:36:01,627 from every part of the body are also entered into the model. 718 00:36:01,660 --> 00:36:06,160 Finally, the Cerrejon vertebra is matched against them. 719 00:36:06,194 --> 00:36:07,760 What we did mathematically 720 00:36:07,794 --> 00:36:11,627 was we took this gradient from one to the other 721 00:36:11,660 --> 00:36:13,827 in all of the snakes 722 00:36:13,860 --> 00:36:15,760 and found where it matched best 723 00:36:15,794 --> 00:36:19,094 as you went from the front to the back. 724 00:36:19,127 --> 00:36:21,694 We could then measure the shape on this vertebra 725 00:36:21,727 --> 00:36:23,827 and then with some degree of likelihood, 726 00:36:23,860 --> 00:36:29,760 be able to place it within some position in the body. 727 00:36:29,794 --> 00:36:31,627 It's a fairly simple idea, 728 00:36:31,660 --> 00:36:33,927 but it actually takes quite a bit of work 729 00:36:33,960 --> 00:36:37,660 and took us the greater part of a year to do. 730 00:36:37,694 --> 00:36:40,794 With the ancient fossil embedded into the snake map, 731 00:36:40,827 --> 00:36:42,694 it is now possible to reconstruct 732 00:36:42,727 --> 00:36:44,894 the size of the snake. 733 00:36:46,894 --> 00:36:48,994 In the courtyard of the Florida museum, 734 00:36:49,027 --> 00:36:53,127 Jon Bloch and Jason head are ready for the big revelation. 735 00:36:54,727 --> 00:36:56,794 Bloch: Where would this go, do you think, in the body? 736 00:36:56,827 --> 00:36:59,260 So that specimen would be just over halfway 737 00:36:59,294 --> 00:37:00,627 between the head and the tail, 738 00:37:00,660 --> 00:37:03,260 so just about here. 739 00:37:03,294 --> 00:37:04,827 Okay. 740 00:37:04,860 --> 00:37:07,894 The result is awe inspiring. 741 00:37:16,260 --> 00:37:18,860 The longest modern snake, the reticulated python, 742 00:37:18,894 --> 00:37:21,227 measures 28 feet. 743 00:37:21,260 --> 00:37:26,027 The biggest previous fossil snake, Gigantophis... 33 feet. 744 00:37:28,127 --> 00:37:32,227 The Cerrejon snake smashes the record. 745 00:37:32,260 --> 00:37:34,794 48 feet long, 746 00:37:34,827 --> 00:37:38,760 it is the longest snake in world history. 747 00:37:38,794 --> 00:37:39,727 That's a big snake. 748 00:37:39,760 --> 00:37:41,794 This is a huge snake. 749 00:37:41,827 --> 00:37:45,060 This is just the first specimen from Cerrejon. 750 00:37:46,394 --> 00:37:50,260 There could be even longer snakes out there. 751 00:37:50,294 --> 00:37:52,627 And further mysteries remain. 752 00:37:52,660 --> 00:37:55,694 How did it live? What did it eat? 753 00:37:55,727 --> 00:37:57,660 What did it really look like? 754 00:37:57,694 --> 00:38:02,694 Above all, how could it possibly have grown so big? 755 00:38:09,360 --> 00:38:11,560 It's time to name it. 756 00:38:11,594 --> 00:38:14,960 To reflect its ancestry, as well as its enormity, 757 00:38:14,994 --> 00:38:18,560 it will be called Titanoboa, 758 00:38:18,594 --> 00:38:21,527 a boa of Titanic proportions. 759 00:38:22,894 --> 00:38:25,794 In honor of the Colombian mine where it was found, 760 00:38:25,827 --> 00:38:30,860 its full name... Titanoboa Cerrejonensis. 761 00:38:30,894 --> 00:38:34,960 With its credentials proved, titanoboa can be launched, 762 00:38:34,994 --> 00:38:38,594 a creature to make headlines and capture the imagination 763 00:38:38,627 --> 00:38:43,127 of the scientific, phobic and expert across the world. 764 00:38:45,327 --> 00:38:48,294 Stephen: Wow, you know, this is an amazing animal. 765 00:38:48,327 --> 00:38:50,560 It's just one of those things that you know 766 00:38:50,594 --> 00:38:52,060 you're not gonna have happen 767 00:38:52,094 --> 00:38:53,894 that many times in your lifetime. 768 00:38:53,927 --> 00:38:56,894 Finally, snakes are on the map. 769 00:38:56,927 --> 00:39:00,594 Bloch: Many people's reaction is just sort of that of horror. 770 00:39:02,827 --> 00:39:04,960 There's a certain fear of snakes that exists out there, 771 00:39:04,994 --> 00:39:06,327 and I think for a lot of people 772 00:39:06,360 --> 00:39:08,827 that's sort of the root of the fascination. 773 00:39:08,860 --> 00:39:11,294 Narrator: To fully comprehend titanoboa, 774 00:39:11,327 --> 00:39:14,594 it needs, somehow, to be seen. 775 00:39:16,694 --> 00:39:18,560 Snakes are not just bones, 776 00:39:18,594 --> 00:39:21,027 there's also flesh on those bones. 777 00:39:21,060 --> 00:39:23,094 At Indiana university, Bloomington, 778 00:39:23,127 --> 00:39:27,694 a snake is coming under a highly expert knife. 779 00:39:27,727 --> 00:39:30,127 Matt Rowe used to be a Sushi chef, 780 00:39:30,160 --> 00:39:33,860 now his skills are unveiling the complete snake. 781 00:39:35,194 --> 00:39:39,594 The meat, a delicacy in many exotic cuisines. 782 00:39:39,627 --> 00:39:44,627 The skin, used for ladies' handbags, belts and boots. 783 00:39:44,660 --> 00:39:47,194 But the most striking thing Matt can reveal 784 00:39:47,227 --> 00:39:49,560 is how much larger a snake becomes 785 00:39:49,594 --> 00:39:52,694 when its bones are fleshed out. 786 00:39:52,727 --> 00:39:54,094 Matt Rowe: Alright. 787 00:39:54,127 --> 00:39:57,060 So this is the vertebra inside of the cross-section here. 788 00:39:57,094 --> 00:39:59,694 It's a little bit difficult to see at this point, 789 00:39:59,727 --> 00:40:01,127 because they're relatively small 790 00:40:01,160 --> 00:40:04,094 in comparison to the size of the cross-section, 791 00:40:04,127 --> 00:40:07,360 and you can see the centrum of the vertebra here. 792 00:40:07,394 --> 00:40:10,027 In our research, in the dissections that we've done, 793 00:40:10,060 --> 00:40:12,627 the size of the vertebra in comparison to the snake 794 00:40:12,660 --> 00:40:14,327 has always surprised me, 795 00:40:14,360 --> 00:40:18,760 in the sense that they are always much smaller 796 00:40:18,794 --> 00:40:20,660 than I would think. 797 00:40:20,694 --> 00:40:22,294 As you can see here, 798 00:40:22,327 --> 00:40:24,627 a small vertebra does not necessarily indicate 799 00:40:24,660 --> 00:40:26,160 a small snake. 800 00:40:27,727 --> 00:40:29,027 In some big living snakes, 801 00:40:29,060 --> 00:40:32,227 the ribs are about five inches long. 802 00:40:32,260 --> 00:40:34,927 Scaled up to the Cerrejon giant snake, 803 00:40:34,960 --> 00:40:38,660 the ribs must have been more like two feet long, 804 00:40:38,694 --> 00:40:42,894 with a wall of muscle strong enough to crush a rhinoceros. 805 00:40:48,227 --> 00:40:51,260 To recreate the full glory of titanoboa, 806 00:40:51,294 --> 00:40:53,827 a Canadian model maker, Kevin Hockley, 807 00:40:53,860 --> 00:40:56,227 is drafted into the team. 808 00:40:57,960 --> 00:41:01,794 He's commissioned to build a life-size replica. 809 00:41:01,827 --> 00:41:05,160 His previous life-size creations include two animals 810 00:41:05,194 --> 00:41:08,794 that also once seemed the stuff of myth and fantasy, 811 00:41:08,827 --> 00:41:12,594 but are monstrously alive and well today... 812 00:41:12,627 --> 00:41:16,360 A narwhal and a giant squid. 813 00:41:16,394 --> 00:41:22,360 Titanoboa, though long dead, will overwhelm even them. 814 00:41:22,394 --> 00:41:23,594 It's a huge snake 815 00:41:23,627 --> 00:41:25,294 and bigger than any living snake 816 00:41:25,327 --> 00:41:28,827 and certainly bigger than any snake that I've made to date. 817 00:41:28,860 --> 00:41:30,927 And the other challenge was, 818 00:41:30,960 --> 00:41:34,194 there's only a few actual fossils of the bones, 819 00:41:34,227 --> 00:41:37,694 so we're going by a scientist's speculation 820 00:41:37,727 --> 00:41:41,560 as to what it actually looked like. 821 00:41:41,594 --> 00:41:43,794 Narrator: One key part is missing... 822 00:41:43,827 --> 00:41:46,694 A fossil of Titanoboa's skull. 823 00:41:46,727 --> 00:41:49,027 Kevin is starting his model from the tail end, 824 00:41:49,060 --> 00:41:52,994 in the hope that Jason head and his colleagues will find one. 825 00:41:53,027 --> 00:41:55,960 Head: He's a biologically realistic model. 826 00:41:55,994 --> 00:41:57,594 Narrator: Only with the head in place 827 00:41:57,627 --> 00:42:01,260 will we know exactly how titanoboa looked. 828 00:42:01,294 --> 00:42:04,194 Head: And it gives you both the biology and the fear factor, 829 00:42:04,227 --> 00:42:08,227 the punch, that would get people interested. 830 00:42:08,260 --> 00:42:11,560 Back at Cerrejon, the fossil hunters scour the mine 831 00:42:11,594 --> 00:42:13,660 for the skull bones whose fragility 832 00:42:13,694 --> 00:42:16,527 makes them so elusive and rare. 833 00:42:17,860 --> 00:42:19,960 They know a headless snake 834 00:42:19,994 --> 00:42:23,127 will always be a story without an end. 835 00:42:25,694 --> 00:42:28,194 And other mysteries remain... 836 00:42:28,227 --> 00:42:30,294 What did titanoboa eat? 837 00:42:30,327 --> 00:42:33,360 How did it hunt and reproduce? 838 00:42:33,394 --> 00:42:37,527 One place on today's earth can provide some clues. 839 00:42:40,627 --> 00:42:43,860 The flooded grasslands of the Venezuelan llanos. 840 00:42:53,827 --> 00:42:55,894 Here, the average temperature 841 00:42:55,927 --> 00:42:59,160 is more than a sweltering 80 degrees. 842 00:43:02,894 --> 00:43:04,994 Though this is not a rainforest, 843 00:43:05,027 --> 00:43:08,360 the similarity of the animals in these sultry wetlands 844 00:43:08,394 --> 00:43:11,860 makes it almost a mini Cerrejon. 845 00:43:11,894 --> 00:43:14,560 Turtles and caiman flourish, 846 00:43:14,594 --> 00:43:15,760 and alongside them, 847 00:43:15,794 --> 00:43:19,294 an animal with similar habits to titanoboa, 848 00:43:19,327 --> 00:43:23,227 the heaviest snake in the modern world... 849 00:43:23,260 --> 00:43:26,660 The green anaconda. 850 00:43:26,694 --> 00:43:30,594 Jesus Rivas is the leading authority on the anaconda. 851 00:43:30,627 --> 00:43:32,227 He spent 20 years in these wetlands, 852 00:43:32,260 --> 00:43:35,694 studying them close up and what they like to eat, 853 00:43:35,727 --> 00:43:37,527 like this turtle. 854 00:43:38,894 --> 00:43:42,094 Jesus Rivas: Wow, it's a monster! 855 00:43:42,127 --> 00:43:44,927 Narrator: Titanoboa may have been 10 times as heavy, 856 00:43:44,960 --> 00:43:48,560 but Jesus believes the anaconda gives the best possible insight 857 00:43:48,594 --> 00:43:49,860 into its world. 858 00:43:51,660 --> 00:43:53,694 Most boas live in trees, 859 00:43:53,727 --> 00:43:56,560 an unlikely move for titanoboa. 860 00:43:56,594 --> 00:44:00,860 So the anaconda, also one of the boid group of snakes, 861 00:44:00,894 --> 00:44:04,060 offers the best comparison. 862 00:44:04,094 --> 00:44:07,894 Titanoboa is an aquatic, tropical snake 863 00:44:07,927 --> 00:44:09,894 that is very related to anaconda. 864 00:44:09,927 --> 00:44:14,027 I can't think of a closer model of standard snakes 865 00:44:14,060 --> 00:44:19,260 to understand what titanoboa was like than living anacondas. 866 00:44:21,060 --> 00:44:25,294 Narrator: Jesus walks these snake-infested swamplands barefoot, 867 00:44:25,327 --> 00:44:28,860 so he can feel reptiles he can't see. 868 00:44:30,360 --> 00:44:34,227 There are leeches, stingrays, caiman, crocs, and piranhas 869 00:44:34,260 --> 00:44:36,294 in his path. 870 00:44:36,327 --> 00:44:37,860 But it's worth it 871 00:44:37,894 --> 00:44:41,994 to get to grips with these magnificent but shy creatures. 872 00:44:44,660 --> 00:44:50,027 Suddenly, Jesus feels a familiar slithery presence underfoot. 873 00:44:50,060 --> 00:44:52,060 Got something for ya. 874 00:44:54,694 --> 00:44:56,260 Okay, got you. 875 00:45:00,327 --> 00:45:02,627 Jesus has found anacondas 876 00:45:02,660 --> 00:45:04,794 measuring a massive 18 feet. 877 00:45:04,827 --> 00:45:06,894 Just like they're three and a half. 878 00:45:06,927 --> 00:45:09,160 He knows that dry land is their enemy. 879 00:45:09,194 --> 00:45:10,160 Okay. 880 00:45:10,194 --> 00:45:12,227 Something that must have also been true 881 00:45:12,260 --> 00:45:13,694 for titanoboa. 882 00:45:13,727 --> 00:45:16,127 I don't think titanoboa, being that large, 883 00:45:16,160 --> 00:45:19,194 would have been very easy to crawl through dry land, 884 00:45:19,227 --> 00:45:21,694 maybe for very short time. 885 00:45:24,227 --> 00:45:27,960 Narrator: Titanoboa weighed as much as 20 people. 886 00:45:27,994 --> 00:45:31,627 Movement on land was a constant fight with gravity. 887 00:45:34,327 --> 00:45:37,794 Like the anaconda, its friend was water, 888 00:45:37,827 --> 00:45:42,127 where it becomes effectively weightless and faster. 889 00:45:44,827 --> 00:45:47,027 Today's snake habitat in Venezuela 890 00:45:47,060 --> 00:45:50,760 reinforces the evidence that Titanoboa's kingdom 891 00:45:50,794 --> 00:45:53,960 was a rainforest water world. 892 00:45:53,994 --> 00:45:56,194 And this is a very large, 893 00:45:56,227 --> 00:45:58,760 either a slow-moving river system, 894 00:45:58,794 --> 00:46:01,327 or kind of a backwater of a major river system. 895 00:46:01,360 --> 00:46:04,594 So what we have is a big, wet landscape full of water 896 00:46:04,627 --> 00:46:07,127 with a lot of aquatic snakes in it. 897 00:46:07,160 --> 00:46:11,827 Narrator: On land, Titanoboa's weight is suffocating it. 898 00:46:11,860 --> 00:46:15,794 Sliding into the water, it is coming home. 899 00:46:21,360 --> 00:46:23,794 In this ideal environment, 900 00:46:23,827 --> 00:46:26,694 it becomes the ruling predator, 901 00:46:26,727 --> 00:46:28,594 a lurking killer. 902 00:46:29,894 --> 00:46:32,360 Despite their lack of legs or fins, 903 00:46:32,394 --> 00:46:34,694 snakes are natural swimmers, 904 00:46:34,727 --> 00:46:36,094 faster than humans. 905 00:46:37,594 --> 00:46:40,327 The secret is their flexible spines. 906 00:46:42,227 --> 00:46:45,227 They turn themselves into a fluid "s" shape, 907 00:46:45,260 --> 00:46:48,660 using their whole body to carve through the water. 908 00:46:49,927 --> 00:46:52,127 The anacondas of the Venezuelan llanos 909 00:46:52,160 --> 00:46:55,860 are the nearest living echo of the long lost snake 910 00:46:55,894 --> 00:46:58,594 and the world it dominated. 911 00:46:58,627 --> 00:47:01,960 And to get even closer to their extraordinary discovery, 912 00:47:01,994 --> 00:47:06,294 the scientists must encounter the anaconda face to face. 913 00:47:07,994 --> 00:47:11,627 But they won't give up their secrets without a fight. 914 00:47:15,960 --> 00:47:17,794 Jon Bloch and Jason head, 915 00:47:17,827 --> 00:47:20,060 experts in the prehistoric world, 916 00:47:20,094 --> 00:47:23,827 land in the Venezuelan llanos, close to the equator. 917 00:47:33,060 --> 00:47:35,860 It's oppressively hot and humid. 918 00:47:37,660 --> 00:47:39,327 Hell for humans, 919 00:47:39,360 --> 00:47:43,260 paradise for the biggest snakes on today's earth. 920 00:47:47,694 --> 00:47:50,960 Jon and Jason have come in search of the green anaconda, 921 00:47:50,994 --> 00:47:54,094 which thrives in this steaming swamp. 922 00:47:55,594 --> 00:47:58,627 The anaconda's lifestyle is the closest they can find 923 00:47:58,660 --> 00:48:01,127 to the giant snake, titanoboa, 924 00:48:01,160 --> 00:48:04,927 which flourished in Colombia 60 million years ago 925 00:48:04,960 --> 00:48:08,694 in the lost world of Cerrejon. 926 00:48:08,727 --> 00:48:10,594 Their guide is Jesus Rivas, 927 00:48:10,627 --> 00:48:14,960 the world's leading expert on the green anaconda. 928 00:48:14,994 --> 00:48:18,627 He shows the new arrivals that the best way to find one 929 00:48:18,660 --> 00:48:21,860 is to feel for it with bare feet. 930 00:48:21,894 --> 00:48:23,794 Alarmingly, he can also tell them 931 00:48:23,827 --> 00:48:27,960 that anacondas can be lethal, even for humans. 932 00:48:27,994 --> 00:48:31,827 Rivas: An anaconda is potentially a danger for a person 933 00:48:31,860 --> 00:48:33,827 because of the sheer size. 934 00:48:33,860 --> 00:48:36,027 They're generalist predators. 935 00:48:37,227 --> 00:48:39,827 As long as capacity of killing a person, 936 00:48:39,860 --> 00:48:42,560 definitely can kill a person. 937 00:48:42,594 --> 00:48:45,094 Narrator: Anaconda mainly hunt in water, 938 00:48:45,127 --> 00:48:48,060 where they're hardest to spot. 939 00:48:48,094 --> 00:48:51,960 Just like titanoboa, lurking beneath the surface, 940 00:48:51,994 --> 00:48:55,160 waiting for unsuspecting prey to pass by. 941 00:48:56,827 --> 00:49:00,694 Dead still, heart, a silent murmur, 942 00:49:00,727 --> 00:49:03,827 holding its breath for up to 45 minutes. 943 00:49:05,894 --> 00:49:09,660 Waiting for the perfect prey 944 00:49:09,694 --> 00:49:11,994 until the moment comes. 945 00:49:18,627 --> 00:49:19,694 Oh, you got tagged. 946 00:49:19,727 --> 00:49:20,827 It's all right. 947 00:49:29,594 --> 00:49:30,760 He came out of nowhere, 948 00:49:30,794 --> 00:49:32,594 it was like the monster from the deep. 949 00:49:32,627 --> 00:49:36,260 Jon has suddenly become the target. 950 00:49:36,294 --> 00:49:38,294 Bad girl. 951 00:49:38,327 --> 00:49:42,060 Let it bleed, let it bleed. 952 00:49:42,094 --> 00:49:43,560 It hurt, there's no doubt it hurt, 953 00:49:43,594 --> 00:49:44,260 and it's bleeding a lot. 954 00:49:44,294 --> 00:49:45,260 Does it hurt a lot? 955 00:49:45,294 --> 00:49:47,327 We have band aids, so. 956 00:49:47,360 --> 00:49:48,694 Is that normal to puff up like that? 957 00:49:48,727 --> 00:49:49,894 No. 958 00:49:49,927 --> 00:49:51,627 Probably need to put something over it. 959 00:49:51,660 --> 00:49:53,227 Jon will later find out 960 00:49:53,260 --> 00:49:57,894 the anaconda has left two vicious teeth buried in his leg. 961 00:50:00,360 --> 00:50:04,727 It saw him either as potential prey or as a threat. 962 00:50:04,760 --> 00:50:05,660 Welcome to the club! 963 00:50:05,694 --> 00:50:06,694 Oh, thank you. 964 00:50:08,227 --> 00:50:12,127 Narrator: To Jesus, it's part of everyday life in snake land. 965 00:50:13,727 --> 00:50:18,227 The anaconda that bit Jon was relatively small fry. 966 00:50:18,260 --> 00:50:24,594 Even the largest anaconda here would be dwarfed by titanoboa. 967 00:50:24,627 --> 00:50:26,694 Oh, my God, look. 968 00:50:26,727 --> 00:50:28,727 But whatever the difference in size, 969 00:50:28,760 --> 00:50:31,127 they eat the same way. 970 00:50:31,160 --> 00:50:33,360 Look how skinny he becomes. 971 00:50:33,394 --> 00:50:37,160 That looks like a Galapagos, like a turtle. 972 00:50:37,194 --> 00:50:40,560 So there's an example of an anaconda with a turtle in it, 973 00:50:40,594 --> 00:50:41,627 you think? 974 00:50:41,660 --> 00:50:42,660 That's right. 975 00:50:42,694 --> 00:50:44,127 That is pretty interesting, 976 00:50:44,160 --> 00:50:48,260 so sideneck turtles, just like we have in Cerrejon. 977 00:50:48,294 --> 00:50:50,560 The anaconda has swallowed a meal 978 00:50:50,594 --> 00:50:52,660 wider than its own body. 979 00:50:52,694 --> 00:50:54,294 Oh, look at that. 980 00:50:54,327 --> 00:50:55,760 Her tail looks fine. 981 00:50:55,794 --> 00:50:56,960 Okay. 982 00:50:56,994 --> 00:50:58,694 Not a catcher, sorry, girl. 983 00:50:58,727 --> 00:51:02,627 Look at this, look at the piece, the chunk missing over here. 984 00:51:02,660 --> 00:51:04,794 Come on here, come on here, look at the chunk of flesh. 985 00:51:04,827 --> 00:51:07,860 Narrator: Jesus spots a wound on the anaconda's side. 986 00:51:07,894 --> 00:51:09,960 It was inflicted by the prey. 987 00:51:09,994 --> 00:51:13,094 Maybe it's a baby Capybara. 988 00:51:13,127 --> 00:51:15,627 It's expensive for a snake to take a meal. 989 00:51:15,660 --> 00:51:16,627 Yeah. 990 00:51:16,660 --> 00:51:20,694 On every hunt, a snake risks its life. 991 00:51:20,727 --> 00:51:23,294 It's kill or be killed. 992 00:51:23,327 --> 00:51:25,127 Rivas: Okay, let's move around, let's move away, 993 00:51:25,160 --> 00:51:29,260 leave her address her meal, we don't want her to lose it. 994 00:51:29,294 --> 00:51:31,860 The anaconda wants some privacy and safety 995 00:51:31,894 --> 00:51:33,927 to digest its catch. 996 00:51:36,894 --> 00:51:40,227 These snakes don't stop at turtles. 997 00:51:40,260 --> 00:51:44,160 They also prey here on caiman, a type of crocodile. 998 00:51:45,894 --> 00:51:49,694 Snakes have always been willing to take on the largest prey, 999 00:51:49,727 --> 00:51:52,260 both now and 60 million years ago. 1000 00:51:53,694 --> 00:51:56,294 Is any animal safe from titanoboa 1001 00:51:56,327 --> 00:51:58,827 in Cerrejon's lost world? 1002 00:52:00,260 --> 00:52:04,094 Even the half ton blunt-nosed crocodile is at risk... 1003 00:52:05,694 --> 00:52:09,527 ...unable to escape the giant snake's recurved teeth. 1004 00:52:11,594 --> 00:52:13,027 Crushed by coils of muscle, 1005 00:52:13,060 --> 00:52:16,760 delivering 400 pounds per square inch of pressure. 1006 00:52:18,060 --> 00:52:20,694 Each time the crocodile's chest moves, 1007 00:52:20,727 --> 00:52:23,260 titanoboa tightens its grip. 1008 00:52:24,694 --> 00:52:27,760 Inducing unconsciousness, 1009 00:52:27,794 --> 00:52:30,760 then cutting off its victim's blood... 1010 00:52:32,127 --> 00:52:33,860 ...until death. 1011 00:52:43,394 --> 00:52:45,560 There's movement in the water. 1012 00:52:47,694 --> 00:52:50,060 Rivas: That's what we're here for. 1013 00:52:50,094 --> 00:52:52,594 What do you have? 1014 00:52:52,627 --> 00:52:53,727 Oh! 1015 00:52:55,360 --> 00:52:58,360 Narrator: This anaconda's big enough to crush a human. 1016 00:52:58,394 --> 00:52:59,694 Woo! 1017 00:52:59,727 --> 00:53:02,594 She wants to give me a kiss, look at that. 1018 00:53:02,627 --> 00:53:03,827 Or is it Jon you like? 1019 00:53:03,860 --> 00:53:05,927 Four human adults struggle 1020 00:53:05,960 --> 00:53:10,227 to resist the massive, twisting force of the snake's muscles. 1021 00:53:10,260 --> 00:53:11,760 She is... 1022 00:53:11,794 --> 00:53:12,927 Strong. 1023 00:53:12,960 --> 00:53:14,627 Holding it behind the head 1024 00:53:14,660 --> 00:53:16,294 is the only way to make it safe... 1025 00:53:16,327 --> 00:53:18,160 Why won't you hold his ears? 1026 00:53:18,194 --> 00:53:21,060 ...As head movement controls the body's twisting. 1027 00:53:22,227 --> 00:53:25,627 This snake is big, powerful and hungry. 1028 00:53:25,660 --> 00:53:27,194 Let me do that. Bloch: I've got it. 1029 00:53:27,227 --> 00:53:28,694 Let me hold the first part. 1030 00:53:28,727 --> 00:53:32,660 This girl, this size will feed on anything. 1031 00:53:32,694 --> 00:53:37,327 Small crocs, turtles, deer, small children, anything. 1032 00:53:38,660 --> 00:53:39,927 Bloch: So this is probably about the size 1033 00:53:39,960 --> 00:53:43,727 of a juvenile titanoboa, maybe about a year old? 1034 00:53:45,860 --> 00:53:49,027 How long do you reckon this vertebrates are? 1035 00:53:49,060 --> 00:53:50,560 Head: The vertebrae on this animal? 1036 00:53:50,594 --> 00:53:51,327 Yeah. 1037 00:53:51,360 --> 00:53:52,460 Be about that wide. 1038 00:53:52,494 --> 00:53:54,594 Snakes keep growing throughout their lives. 1039 00:53:54,627 --> 00:53:58,827 The bigger ones are the longest lived and the most successful. 1040 00:53:58,860 --> 00:54:01,160 No, no, no, titanoboa is like that. 1041 00:54:01,194 --> 00:54:03,227 Given the size of this anaconda, 1042 00:54:03,260 --> 00:54:05,160 it seems almost unbelievable 1043 00:54:05,194 --> 00:54:08,594 that it's nothing compared with titanoboa. 1044 00:54:08,627 --> 00:54:12,327 No, Titanoboa's probably 60, 70 centimeters wide. 1045 00:54:12,360 --> 00:54:14,127 This snake looks like she's got a diameter 1046 00:54:14,160 --> 00:54:18,994 of about nine, maybe 10 centimeters at the widest point, 1047 00:54:19,027 --> 00:54:20,627 which is one-fifth to one-seventh 1048 00:54:20,660 --> 00:54:22,694 the width of titanoboa. 1049 00:54:22,727 --> 00:54:25,827 Rivas: This is a very skinny snake for her size. 1050 00:54:25,860 --> 00:54:28,627 If she were nice and plump, 1051 00:54:28,660 --> 00:54:31,160 she would be probably 10 inches across. 1052 00:54:31,194 --> 00:54:32,294 Head: Okay. 1053 00:54:32,327 --> 00:54:34,594 She probably gave birth last year, 1054 00:54:34,627 --> 00:54:36,027 for how skinny she is. 1055 00:54:36,060 --> 00:54:40,827 And she probably is aiming for a Capybara or a good caiman 1056 00:54:40,860 --> 00:54:44,927 or something to make up for the energy lost. 1057 00:54:44,960 --> 00:54:46,894 This is as close as the scientists can get 1058 00:54:46,927 --> 00:54:48,994 in the living snake world of today 1059 00:54:49,027 --> 00:54:51,760 to the lost world of titanoboa. 1060 00:54:54,160 --> 00:54:56,660 Okay. 1061 00:54:56,694 --> 00:54:57,994 Let's go home. 1062 00:54:58,027 --> 00:55:00,660 The habitat and plants may be different, 1063 00:55:00,694 --> 00:55:02,927 and this is not a rainforest. 1064 00:55:05,960 --> 00:55:10,794 But the similarities in the mix of animals are striking. 1065 00:55:10,827 --> 00:55:13,560 Head: If you think about this ecosystem, 1066 00:55:13,594 --> 00:55:15,160 how many snakes we found just today 1067 00:55:15,194 --> 00:55:18,194 and how many caiman we've seen and how many turtles. 1068 00:55:20,394 --> 00:55:24,194 Where we're standing right now, that's basically Cerrejon. 1069 00:55:25,727 --> 00:55:26,994 Bloch: It's really an incredible experience 1070 00:55:27,027 --> 00:55:29,894 for me to be able to see this habitat like this. 1071 00:55:29,927 --> 00:55:32,560 At Cerrejon, we find this big layer with, you know, 1072 00:55:32,594 --> 00:55:34,894 all of these skeletons of snakes closely spaced, 1073 00:55:34,927 --> 00:55:36,727 and you think, well, how could an ecosystem sustain 1074 00:55:36,760 --> 00:55:39,194 that many snakes in such a small place? 1075 00:55:39,227 --> 00:55:41,060 And then here we're finding snakes all over the place, 1076 00:55:41,094 --> 00:55:43,927 together, giant, huge snakes. 1077 00:55:45,260 --> 00:55:49,094 The team finds five anacondas in just one day. 1078 00:55:49,127 --> 00:55:53,094 Jesus has counted 2,000 of these snakes here. 1079 00:55:53,127 --> 00:55:54,727 Watch your hands. 1080 00:55:54,760 --> 00:55:58,860 Cerrejon would probably have been the same. 1081 00:55:58,894 --> 00:56:02,260 Not just one or two titanoboa, 1082 00:56:02,294 --> 00:56:04,327 but thousands. 1083 00:56:04,360 --> 00:56:05,694 Go for it. 1084 00:56:05,727 --> 00:56:06,927 There you go. 1085 00:56:06,960 --> 00:56:09,627 Beautiful, look at that. 1086 00:56:09,660 --> 00:56:10,927 Narrator: As the trip ends, 1087 00:56:10,960 --> 00:56:14,560 Jon Bloch turns snake catcher for the first time. 1088 00:56:14,594 --> 00:56:15,794 Gorgeous snake. 1089 00:56:15,827 --> 00:56:18,294 Your first worry is to protect the head. 1090 00:56:18,327 --> 00:56:21,327 Their muscle cladded, all the things protection, 1091 00:56:21,360 --> 00:56:22,627 but the head is very sensitive. 1092 00:56:22,660 --> 00:56:23,860 So when they feel in danger, 1093 00:56:23,894 --> 00:56:26,660 they'll wrap their head around anything. 1094 00:56:26,694 --> 00:56:27,760 That's what she was trying to do 1095 00:56:27,794 --> 00:56:29,960 to protect her head between her loops, 1096 00:56:29,994 --> 00:56:31,560 that's what tangles you up. 1097 00:56:31,594 --> 00:56:33,694 Bloch: Got it. 1098 00:56:33,727 --> 00:56:35,660 She's got me around the neck. 1099 00:56:35,694 --> 00:56:36,594 Do you want to help me there, Jason? 1100 00:56:37,660 --> 00:56:38,660 Thank you. 1101 00:56:38,694 --> 00:56:40,627 You're a good friend. 1102 00:56:40,660 --> 00:56:43,260 Oh, that's fantastic, look at that. 1103 00:56:46,594 --> 00:56:49,627 Jon and Jason's work, both in the lab and the field, 1104 00:56:49,660 --> 00:56:52,094 is fed back to their model maker Kevin Hockley 1105 00:56:52,127 --> 00:56:55,160 thousands of Miles away in Canada. 1106 00:56:59,827 --> 00:57:02,794 But to complete his recreation of titanoboa, 1107 00:57:02,827 --> 00:57:05,260 he urgently needs a skull. 1108 00:57:14,627 --> 00:57:15,960 The team of scientists investigating 1109 00:57:15,994 --> 00:57:19,194 the giant prehistoric snake, titanoboa, 1110 00:57:19,227 --> 00:57:22,560 return to the coalmine at Cerrejon in Colombia, 1111 00:57:22,594 --> 00:57:26,094 the place they first discovered fossils of its vertebrae. 1112 00:57:27,660 --> 00:57:29,094 They're in a race against time 1113 00:57:29,127 --> 00:57:32,760 to find the one missing piece in their Jigsaw puzzle, 1114 00:57:32,794 --> 00:57:35,827 a remnant of Titanoboa's skull. 1115 00:57:39,594 --> 00:57:42,827 Soon, the diggers will penetrate beneath the seam of coal 1116 00:57:42,860 --> 00:57:46,894 that revealed the lost world of 60 million years ago. 1117 00:57:48,894 --> 00:57:50,194 The operations at the mine 1118 00:57:50,227 --> 00:57:52,894 will eventually destroy this hill completely 1119 00:57:52,927 --> 00:57:54,860 and probably this will be our last trip here, 1120 00:57:54,894 --> 00:57:57,127 on the LA puente pit that's been so good to us 1121 00:57:57,160 --> 00:57:58,560 in terms of collecting. 1122 00:57:58,594 --> 00:58:00,194 This is the only place in the world 1123 00:58:00,227 --> 00:58:04,194 that we've ever, in fact, found titanoboa, for example. 1124 00:58:04,227 --> 00:58:07,227 The mine has not just produced titanoboa, 1125 00:58:07,260 --> 00:58:10,894 it has revealed a dazzling variety of giant animals. 1126 00:58:12,294 --> 00:58:15,694 One of the most remarkable is the freshwater turtle, 1127 00:58:15,727 --> 00:58:19,327 discovered by Colombian scientist Edwin Cadena. 1128 00:58:23,960 --> 00:58:25,694 He could hardly believe his eyes 1129 00:58:25,727 --> 00:58:29,860 when he began scraping away at the first fossil. 1130 00:58:29,894 --> 00:58:32,760 So I start working with this screwdriver, 1131 00:58:32,794 --> 00:58:34,860 carefully removing all the sediment 1132 00:58:34,894 --> 00:58:37,127 that was covering this specimen. 1133 00:58:37,160 --> 00:58:40,694 And wow, it was a really, really nice moment 1134 00:58:40,727 --> 00:58:46,160 for me to see this almost two-meters-long turtle 1135 00:58:46,194 --> 00:58:48,194 coming at the surface. 1136 00:58:49,827 --> 00:58:53,827 This is the head of the turtle and this is the shell, 1137 00:58:53,860 --> 00:58:56,827 the carapace and the plastron of the turtle. 1138 00:58:56,860 --> 00:58:59,894 It was a surprise for me. 1139 00:58:59,927 --> 00:59:01,827 The final measurement turns out to be 1140 00:59:01,860 --> 00:59:06,027 an astonishing eight feet, as big as a dinner table. 1141 00:59:08,027 --> 00:59:11,160 The lost water world contains strange species, 1142 00:59:11,194 --> 00:59:15,594 like the lungfish, capable of breathing in surface air. 1143 00:59:15,627 --> 00:59:18,627 It grew as big as a man. 1144 00:59:18,660 --> 00:59:21,260 And there were massive crocodiles. 1145 00:59:21,294 --> 00:59:22,660 So we have three different types 1146 00:59:22,694 --> 00:59:25,094 of crocodile relatives from Colombia, 1147 00:59:25,127 --> 00:59:28,894 we have a small-bodied form with a relatively narrow snout, 1148 00:59:28,927 --> 00:59:31,627 good for small prey items. 1149 00:59:31,660 --> 00:59:33,994 Medium sized, long-snouted form here, 1150 00:59:34,027 --> 00:59:37,827 this lower jaw is very good for catching slippery, quick fish. 1151 00:59:37,860 --> 00:59:39,694 Here is a blunt-snouted crocodile 1152 00:59:39,727 --> 00:59:40,760 with a really short snout, 1153 00:59:40,794 --> 00:59:44,660 which is perfectly adapted for really tough foods. 1154 00:59:44,694 --> 00:59:46,027 So something like a turtle shell 1155 00:59:46,060 --> 00:59:48,594 that needs a lot of force in order to deal with that. 1156 00:59:48,627 --> 00:59:50,560 When you have your upper and your lower jaws 1157 00:59:50,594 --> 00:59:52,660 coming together like this, 1158 00:59:52,694 --> 00:59:54,827 you have to have a really strong tooth 1159 00:59:54,860 --> 00:59:56,827 in order to withstand that pressure. 1160 00:59:56,860 --> 00:59:59,260 And these blunt, round teeth are perfectly adapted 1161 00:59:59,294 --> 01:00:02,627 for taking on tough foods like turtle shells. 1162 01:00:02,660 --> 01:00:06,760 Pieced together, the crocodile measures 15 feet long. 1163 01:00:08,127 --> 01:00:11,794 The team has complete crocodiles and complete turtles. 1164 01:00:11,827 --> 01:00:15,994 What they're desperate for is a complete titanoboa. 1165 01:00:16,027 --> 01:00:18,294 But there's still no skull. 1166 01:00:19,694 --> 01:00:22,960 Finding a skull remnant is almost impossible. 1167 01:00:22,994 --> 01:00:25,560 They're fragile shards that have disintegrated 1168 01:00:25,594 --> 01:00:27,327 over the millions of years. 1169 01:00:28,660 --> 01:00:31,060 To give the team the best possible chance, 1170 01:00:31,094 --> 01:00:33,994 Jason head, their expert in extinct snakes, 1171 01:00:34,027 --> 01:00:37,027 makes his first visit to Cerrejon. 1172 01:00:37,060 --> 01:00:38,727 Head: Now, of course, we don't really have a lot of skulls 1173 01:00:38,760 --> 01:00:40,827 for the fossil record of snakes, 'cause they're very light, 1174 01:00:40,860 --> 01:00:43,327 and they break apart after the animal has died. 1175 01:00:43,360 --> 01:00:45,860 Even though they haven't found a skull, 1176 01:00:45,894 --> 01:00:48,027 each time they return to the mine, 1177 01:00:48,060 --> 01:00:52,660 the team does discover more and more evidence of titanoboa. 1178 01:00:53,727 --> 01:00:56,994 One find is extraordinarily intact. 1179 01:00:57,027 --> 01:00:59,327 This is a really incredible specimen. 1180 01:00:59,360 --> 01:01:02,127 This snake, when it died, 1181 01:01:02,160 --> 01:01:06,694 was roughly angled so that the front of the animal was here, 1182 01:01:06,727 --> 01:01:08,927 probably coming around 1183 01:01:08,960 --> 01:01:12,694 and going all the way around 1184 01:01:12,727 --> 01:01:17,294 and then coming back toward the tail here. 1185 01:01:17,327 --> 01:01:20,060 Bloch: How big do you think this snake was, about? 1186 01:01:20,094 --> 01:01:21,760 We're probably looking at a skull, 1187 01:01:21,794 --> 01:01:22,927 based on the relationship 1188 01:01:22,960 --> 01:01:24,694 between skull size to body length 1189 01:01:24,727 --> 01:01:25,927 in living boas and pythons, 1190 01:01:25,960 --> 01:01:28,260 of about this long from the tip of the snout 1191 01:01:28,294 --> 01:01:29,727 to the back of the skull. 1192 01:01:29,760 --> 01:01:31,260 That's the size of a lot of the crocodiles 1193 01:01:31,294 --> 01:01:32,194 we get out of here. 1194 01:01:32,227 --> 01:01:32,760 That's right. 1195 01:01:32,794 --> 01:01:34,260 This is a big animal, 1196 01:01:34,294 --> 01:01:37,360 this is the largest animal in the ecosystem. 1197 01:01:37,394 --> 01:01:40,727 Despite this great spread of ribs and vertebrae, 1198 01:01:40,760 --> 01:01:43,560 no skull is found. 1199 01:01:43,594 --> 01:01:45,160 Finally back here... 1200 01:01:45,194 --> 01:01:48,294 But the size of this fossil snake raises the question 1201 01:01:48,327 --> 01:01:52,894 of why some titanoboa seem to be so much bigger than others. 1202 01:01:59,294 --> 01:02:03,894 The answer to that lies here in the Venezuelan llanos. 1203 01:02:06,760 --> 01:02:08,827 Jesus Rivas has stumbled on something 1204 01:02:08,860 --> 01:02:12,227 that's rare for humans to catch sight of. 1205 01:02:12,260 --> 01:02:14,360 Right here, this is a small anaconda, 1206 01:02:14,394 --> 01:02:16,060 it's a male-sized anaconda. 1207 01:02:16,094 --> 01:02:20,127 And it's wrapped around something. 1208 01:02:20,160 --> 01:02:24,227 At least one male, could be two, but hard to tell for now. 1209 01:02:24,260 --> 01:02:29,660 And the female's body is definitely in that direction. 1210 01:02:29,694 --> 01:02:30,994 So then I dig it out. 1211 01:02:31,027 --> 01:02:33,760 Yeah, that is the female's body for sure. 1212 01:02:38,627 --> 01:02:40,294 And that is a third. 1213 01:02:40,327 --> 01:02:41,660 Don't bite me, please. 1214 01:02:41,694 --> 01:02:43,894 This is a mating ball, 1215 01:02:43,927 --> 01:02:47,660 several male anacondas wrapped around a female. 1216 01:02:52,727 --> 01:02:55,694 The males are competing to mate with her. 1217 01:02:55,727 --> 01:02:57,794 Only one will succeed. 1218 01:02:57,827 --> 01:02:59,527 He's leaving. 1219 01:03:01,760 --> 01:03:03,627 Two boys. 1220 01:03:03,660 --> 01:03:07,227 Second boy is here. 1221 01:03:07,260 --> 01:03:09,094 There's a third boy. 1222 01:03:10,927 --> 01:03:12,627 Not surprisingly, 1223 01:03:12,660 --> 01:03:16,794 the male anacondas are angry at being pulled off the female. 1224 01:03:16,827 --> 01:03:18,194 Oh, there you go. 1225 01:03:18,227 --> 01:03:20,594 Grab it, grab you, it doesn't matter. 1226 01:03:21,327 --> 01:03:23,727 She was tagged. 1227 01:03:26,860 --> 01:03:28,127 Oh, beautiful, look. 1228 01:03:28,160 --> 01:03:32,727 I need to see the head, which is somewhere here. 1229 01:03:32,760 --> 01:03:35,627 Now she's backing up. 1230 01:03:35,660 --> 01:03:36,727 Coochie, coochie, coochie. 1231 01:03:36,760 --> 01:03:39,294 Okay, got you. 1232 01:03:39,327 --> 01:03:41,027 Oh, she's a big one! Woo! 1233 01:03:41,060 --> 01:03:43,727 This anaconda is 15 feet long, 1234 01:03:43,760 --> 01:03:46,594 a huge snake in today's world. 1235 01:03:48,227 --> 01:03:50,927 Okay. 1236 01:03:50,960 --> 01:03:54,660 The reason for the snake's size is simple. 1237 01:03:54,694 --> 01:03:55,794 She's female. 1238 01:03:55,827 --> 01:03:58,960 She had four males with her. 1239 01:03:58,994 --> 01:04:02,260 You can see the difference in size, 1240 01:04:02,294 --> 01:04:05,660 how much smaller the males are. 1241 01:04:05,694 --> 01:04:07,360 Based on living anacondas, 1242 01:04:07,394 --> 01:04:10,194 it is likely that in the lost world of Cerrejon, 1243 01:04:10,227 --> 01:04:14,360 the female titanoboa is also bigger and deadlier 1244 01:04:14,394 --> 01:04:16,694 than the male. 1245 01:04:16,727 --> 01:04:21,227 Males avoid females most of the year for very good reason. 1246 01:04:21,260 --> 01:04:24,927 They're in danger of being eaten by them. 1247 01:04:24,960 --> 01:04:26,594 But in the mating season, 1248 01:04:26,627 --> 01:04:30,260 chemical signals in the water show it's safe to approach. 1249 01:04:32,127 --> 01:04:35,594 And then, the fight is among the males. 1250 01:04:38,160 --> 01:04:40,194 The wrestling can last for weeks, 1251 01:04:40,227 --> 01:04:43,627 as the males try to push each other aside. 1252 01:04:46,260 --> 01:04:50,660 Until, finally, one manages to mate. 1253 01:04:51,894 --> 01:04:53,760 The pregnant female breaks off, 1254 01:04:53,794 --> 01:04:57,294 her young now growing inside her. 1255 01:04:57,327 --> 01:04:58,894 She's stored enough food in her body 1256 01:04:58,927 --> 01:05:02,627 to survive the seven months of pregnancy. 1257 01:05:02,660 --> 01:05:05,927 She won't eat again until she's given birth. 1258 01:05:10,594 --> 01:05:13,894 In the autopsy lab at Indiana university, Bloomington, 1259 01:05:13,927 --> 01:05:17,560 grad student Beth Reinke shows the huge number of eggs 1260 01:05:17,594 --> 01:05:20,260 a female python carries. 1261 01:05:20,294 --> 01:05:21,894 Beth Reinke: These are all eggs. 1262 01:05:21,927 --> 01:05:26,694 I see 29, 30 right now, 31, 32. 1263 01:05:26,727 --> 01:05:28,260 In the female titanoboa, 1264 01:05:28,294 --> 01:05:31,660 there may be as many as 100 offspring. 1265 01:05:33,027 --> 01:05:36,860 After seven months, she's ready to give birth. 1266 01:05:36,894 --> 01:05:39,127 Head: The baby snakes are in a little, tiny shell membrane, 1267 01:05:39,160 --> 01:05:40,260 they punch through that, 1268 01:05:40,294 --> 01:05:42,094 and then they actually leave the mother, 1269 01:05:42,127 --> 01:05:46,594 in a way that's very similar to modern birth in most mammals. 1270 01:05:46,627 --> 01:05:49,927 Titanoboa is likely to give birth in the water, 1271 01:05:49,960 --> 01:05:53,260 but may sometimes do so on land. 1272 01:05:53,294 --> 01:05:57,027 The babies are already over three feet long at birth, 1273 01:05:57,060 --> 01:05:59,894 as big as some modern snake adults. 1274 01:05:59,927 --> 01:06:02,294 Their size will be their only protection. 1275 01:06:02,327 --> 01:06:03,994 Once the babies hatch, 1276 01:06:04,027 --> 01:06:06,594 they're pretty good in terms of taking care of themselves. 1277 01:06:06,627 --> 01:06:08,860 They're fully functional, they're able to hunt, 1278 01:06:08,894 --> 01:06:10,660 they're able to move around. 1279 01:06:10,694 --> 01:06:11,994 All their senses are fully developed. 1280 01:06:12,027 --> 01:06:14,160 So they're pretty good to go. 1281 01:06:14,194 --> 01:06:17,960 Female Titanoboas do not mother their children. 1282 01:06:17,994 --> 01:06:19,794 The only attention they pay them 1283 01:06:19,827 --> 01:06:22,727 is to eat any that don't survive birth. 1284 01:06:26,094 --> 01:06:28,660 After abandoning the newborns, 1285 01:06:28,694 --> 01:06:31,894 the mother titanoboa heads off in search of prey 1286 01:06:31,927 --> 01:06:34,327 to relieve a hunger grown ferocious 1287 01:06:34,360 --> 01:06:36,960 from seven months without food. 1288 01:06:40,660 --> 01:06:44,960 The giant fossil at Cerrejon could be one of those females, 1289 01:06:44,994 --> 01:06:48,727 but the skull still eludes the searchers. 1290 01:06:48,760 --> 01:06:51,327 Head: If we are gonna find one, it should be over here. 1291 01:06:51,360 --> 01:06:53,694 Maybe we should think about searching off in this way, 1292 01:06:53,727 --> 01:06:54,994 excavating more of the hill. 1293 01:06:55,027 --> 01:06:56,127 All we can do is look. 1294 01:06:56,160 --> 01:06:58,294 That's right, let's do it. 1295 01:07:09,360 --> 01:07:11,727 Looking for fossils can be a little bit 1296 01:07:11,760 --> 01:07:14,060 like searching for a needle in a haystack. 1297 01:07:14,094 --> 01:07:15,227 If there's going to be a skull, 1298 01:07:15,260 --> 01:07:17,627 it should be over here somewhere. 1299 01:07:24,827 --> 01:07:26,960 Finally, with time running out 1300 01:07:26,994 --> 01:07:28,260 and the ever present threat 1301 01:07:28,294 --> 01:07:30,794 of the mine's need to resume digging, 1302 01:07:30,827 --> 01:07:34,160 a Colombian grad student strikes gold. 1303 01:07:37,294 --> 01:07:40,694 Not one, but three skull bones. 1304 01:07:42,394 --> 01:07:43,894 This is a once-in-a-lifetime discovery, 1305 01:07:43,927 --> 01:07:46,627 really, this is just amazing. 1306 01:07:46,660 --> 01:07:48,560 For somebody who has gone around the world 1307 01:07:48,594 --> 01:07:49,927 and picked up vertebrae, 1308 01:07:49,960 --> 01:07:51,660 to actually pick up pieces of the skull 1309 01:07:51,694 --> 01:07:57,360 is an absolutely unique and unbelievable experience, 1310 01:07:57,394 --> 01:07:59,194 it's almost indescribable. 1311 01:08:01,627 --> 01:08:04,560 Those three bones include parts of the lower jaw, 1312 01:08:04,594 --> 01:08:05,994 and you can see right here, 1313 01:08:06,027 --> 01:08:08,594 these are the tooth positions where teeth would have been 1314 01:08:08,627 --> 01:08:10,560 when the animal was alive. 1315 01:08:10,594 --> 01:08:12,694 And this is actually a bone of the jaw joint. 1316 01:08:12,727 --> 01:08:14,194 This is the back of the skull, 1317 01:08:14,227 --> 01:08:16,727 and right here is where the lower jaw 1318 01:08:16,760 --> 01:08:19,060 actually connects with the upper jaw. 1319 01:08:19,094 --> 01:08:20,727 So up here on us. 1320 01:08:20,760 --> 01:08:22,294 From these three bones, 1321 01:08:22,327 --> 01:08:25,627 we can make inferences about its ecology, where it lived, 1322 01:08:25,660 --> 01:08:28,960 what it ate, how it behaved, how it reproduced, 1323 01:08:28,994 --> 01:08:32,127 all of the aspects of its life history. 1324 01:08:32,160 --> 01:08:35,094 The precious skull fragments are carefully packed up 1325 01:08:35,127 --> 01:08:38,094 and flown back to the museum for analysis. 1326 01:08:39,727 --> 01:08:44,660 They are the clue to exactly how and what titanoboa ate. 1327 01:08:44,694 --> 01:08:45,694 Turn that around. 1328 01:08:45,727 --> 01:08:47,260 This piece of the jaw of titanoboa 1329 01:08:47,294 --> 01:08:50,060 corresponds to that part of the jaw in a living snake. 1330 01:08:50,094 --> 01:08:51,960 Bloch: Wow, look at that, yeah, right. 1331 01:08:51,994 --> 01:08:53,827 Jon and Jason fit the bone fragments 1332 01:08:53,860 --> 01:08:55,660 to positions on the skull. 1333 01:08:55,694 --> 01:08:58,227 Titanoboa's head begins to take shape. 1334 01:08:58,260 --> 01:08:59,627 Great, so that would be... 1335 01:08:59,660 --> 01:09:00,594 Boy, look at that. 1336 01:09:00,627 --> 01:09:03,294 So this jaw would have been, 1337 01:09:03,327 --> 01:09:05,027 there would have been a little bit more on the front. 1338 01:09:05,060 --> 01:09:06,627 The skull of this animal would be about that long. 1339 01:09:06,660 --> 01:09:08,694 Fantastic, and we have some other pieces here, too. 1340 01:09:08,727 --> 01:09:10,060 Even more important 1341 01:09:10,094 --> 01:09:12,594 than the huge size of titanoboa's head, 1342 01:09:12,627 --> 01:09:16,660 is how wide it can open its mouth. 1343 01:09:16,694 --> 01:09:19,660 Its gape determines what it can eat. 1344 01:09:19,694 --> 01:09:21,594 They have these very long lower jaws, 1345 01:09:21,627 --> 01:09:24,994 with the jaw joint suspended far behind the back of the skull. 1346 01:09:25,027 --> 01:09:27,327 So when they open their mouths, this jaw swings down 1347 01:09:27,360 --> 01:09:30,127 and gives them a very, very, very wide gape. 1348 01:09:30,160 --> 01:09:30,827 Okay. 1349 01:09:30,860 --> 01:09:32,094 And then it would have swung, 1350 01:09:32,127 --> 01:09:33,160 basically, at the back of the jaw. 1351 01:09:33,194 --> 01:09:34,227 Exactly. 1352 01:09:34,260 --> 01:09:36,960 Bloch: It would have swung down. Boy, look at that. 1353 01:09:36,994 --> 01:09:38,160 So how big? 1354 01:09:38,194 --> 01:09:40,127 It would have had a gape, probably about like that. 1355 01:09:40,160 --> 01:09:40,994 At least, right? 1356 01:09:41,027 --> 01:09:42,660 Yeah. Bloch: Yeah. 1357 01:09:42,694 --> 01:09:44,694 Now also the lower jaws are actually separate, 1358 01:09:44,727 --> 01:09:47,194 so that when the lower jaws open, when this swings down, 1359 01:09:47,227 --> 01:09:48,594 the lower jaws will actually spread 1360 01:09:48,627 --> 01:09:50,160 wide apart from each other. 1361 01:09:50,194 --> 01:09:53,560 So titanoboa could have had a gape that wide. 1362 01:09:53,594 --> 01:09:58,627 Even modern snakes display appetites that defy belief. 1363 01:09:58,660 --> 01:10:01,560 In the everglades, a large python once swallowed 1364 01:10:01,594 --> 01:10:04,227 an alligator as big as itself. 1365 01:10:04,260 --> 01:10:06,794 It didn't end well for either of them. 1366 01:10:06,827 --> 01:10:09,827 The snake exploded. 1367 01:10:09,860 --> 01:10:13,327 But prey like that was easy meat for titanoboa. 1368 01:10:18,894 --> 01:10:22,227 In ancient Cerrejon, there were monster meals 1369 01:10:22,260 --> 01:10:24,194 for a monster appetite. 1370 01:10:24,227 --> 01:10:27,194 The biggest lungfish, at 10 feet long, 1371 01:10:27,227 --> 01:10:30,594 a nice little entree. 1372 01:10:30,627 --> 01:10:34,760 The crocodiles, 15 feet long and powerful. 1373 01:10:34,794 --> 01:10:37,960 Satisfying as the main course. 1374 01:10:37,994 --> 01:10:40,560 Perhaps only one animal would have been too big 1375 01:10:40,594 --> 01:10:43,594 for even titanoboa to consume... 1376 01:10:43,627 --> 01:10:46,227 The giant adult turtle. 1377 01:10:46,260 --> 01:10:48,594 They've got really thick shells, 1378 01:10:48,627 --> 01:10:52,594 and that means a lot of bone for a snake to get, digest. 1379 01:10:52,627 --> 01:10:56,594 So it's really not a good idea for a snake to get something 1380 01:10:56,627 --> 01:10:59,694 that is gonna stay in your stomach for so long, 1381 01:10:59,727 --> 01:11:02,127 because it has so much bone on it. 1382 01:11:02,160 --> 01:11:04,860 So, for the largest turtles at Cerrejon, 1383 01:11:04,894 --> 01:11:07,094 they had so many chances to survive, 1384 01:11:07,127 --> 01:11:10,327 because the snakes probably preferred to eat crocodiles 1385 01:11:10,360 --> 01:11:13,927 or other small animals. 1386 01:11:13,960 --> 01:11:16,294 Titanoboa's ability to swallow prey 1387 01:11:16,327 --> 01:11:20,060 so much bulkier than itself is extraordinary, 1388 01:11:20,094 --> 01:11:24,160 and its solution, the same as for all snakes. 1389 01:11:24,194 --> 01:11:26,860 Once they're sort of sensing that the prey's dead, 1390 01:11:26,894 --> 01:11:29,594 and they sort of figure out where the head of the prey is, 1391 01:11:29,627 --> 01:11:32,227 and then they start to eat the prey. 1392 01:11:32,260 --> 01:11:33,827 Snakes, obviously, are not like people. 1393 01:11:33,860 --> 01:11:35,194 They don't have hands 1394 01:11:35,227 --> 01:11:37,660 that they can shovel food down their throat. 1395 01:11:37,694 --> 01:11:40,694 They've got a left and a right jawbone. 1396 01:11:40,727 --> 01:11:42,760 So that degree of flexibility 1397 01:11:42,794 --> 01:11:45,594 enables them to eat much larger prey. 1398 01:11:45,627 --> 01:11:51,094 So they can almost walk their jawbones across their prey. 1399 01:11:51,127 --> 01:11:54,927 And if you imagine a combination of muscle contractions, 109615

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