All language subtitles for Worlds Weirdest Events Series 1 5of8 720p HDTV

af Afrikaans
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bn Bengali
bs Bosnian
bg Bulgarian
ca Catalan
ceb Cebuano
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
tl Filipino
fi Finnish
fr French
fy Frisian
gl Galician
ka Georgian
de German
el Greek
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
km Khmer
ko Korean
ku Kurdish (Kurmanji)
ky Kyrgyz
lo Lao
la Latin
lv Latvian
lt Lithuanian
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mn Mongolian
my Myanmar (Burmese)
ne Nepali
no Norwegian
ps Pashto
fa Persian
pl Polish
pt Portuguese
pa Punjabi
ro Romanian
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
st Sesotho
sn Shona
sd Sindhi
si Sinhala
sk Slovak
sl Slovenian
so Somali
es Spanish
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
te Telugu
th Thai
tr Turkish Download
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
or Odia (Oriya)
rw Kinyarwanda
tk Turkmen
tt Tatar
ug Uyghur
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:10,440 --> 00:00:14,000 Let's face it, our world is downright weird. 2 00:00:15,400 --> 00:00:17,240 Argh! Oh-ho! 3 00:00:17,240 --> 00:00:20,960 Crawling with creatures you've never heard of. 4 00:00:20,960 --> 00:00:23,080 I can't believe that's a living thing. 5 00:00:24,520 --> 00:00:26,400 Full of the unexpected. 6 00:00:27,560 --> 00:00:31,000 Like freak weather exploding out of the blue. 7 00:00:31,000 --> 00:00:33,440 I thought I was going to die. 8 00:00:33,440 --> 00:00:36,240 And rocks that spontaneously combust. 9 00:00:36,240 --> 00:00:38,720 I thought it was dynamite going off. 10 00:00:38,720 --> 00:00:41,200 And the unexplained. 11 00:00:41,200 --> 00:00:46,160 An unborn twin discovered inside a brain?! 12 00:00:46,160 --> 00:00:50,160 There were multiple hair follicles, bone and teeth. 13 00:00:54,120 --> 00:00:58,280 We've scoured the globe to bring you the very weirdest stories. 14 00:00:58,280 --> 00:01:01,560 Y-a-a-a-a-a-a-argh! 15 00:01:01,560 --> 00:01:03,640 I could feel this intense pain, 16 00:01:03,640 --> 00:01:07,280 as if you were being stabbed by hundreds of syringes. 17 00:01:12,840 --> 00:01:15,720 In this series, we're going to examine the evidence, 18 00:01:15,720 --> 00:01:19,640 test the science and unravel the mysteries. 19 00:01:19,640 --> 00:01:25,440 We're going to discover what in the weird world is going on. 20 00:01:35,560 --> 00:01:37,960 In this episode, 21 00:01:37,960 --> 00:01:41,040 we'll explore some truly bizarre goings on. 22 00:01:43,160 --> 00:01:46,720 How can a stroll along the beach end in catastrophic injuries? 23 00:01:48,880 --> 00:01:52,520 What's causing three suns to miraculously appear in our skies? 24 00:01:57,520 --> 00:02:00,760 Who is bringing gifts to a little girl? 25 00:02:00,760 --> 00:02:04,320 They're my friends and some of them are, like, family. 26 00:02:04,320 --> 00:02:07,600 And how can a person with perfectly good eyesight 27 00:02:07,600 --> 00:02:10,080 not recognise her own children? 28 00:02:18,640 --> 00:02:21,760 Now, most people love a trip to the beach in summertime. 29 00:02:21,760 --> 00:02:25,440 Paddle along the shoreline, take in the fresh sea air, 30 00:02:25,440 --> 00:02:27,840 maybe build a few sandcastles. 31 00:02:27,840 --> 00:02:30,600 But I've got to tell you, it can be quite a dangerous place. 32 00:02:30,600 --> 00:02:34,840 And I'm not just talking about forgetting your sunscreen. 33 00:02:34,840 --> 00:02:37,520 I'm taking about something far more sinister. 34 00:02:42,160 --> 00:02:44,160 Orange County, California. 35 00:02:45,640 --> 00:02:48,600 On a beautiful summer's day in 2012, 36 00:02:48,600 --> 00:02:52,000 the Hiner family headed out to take part in one of their favourite 37 00:02:52,000 --> 00:02:54,680 pastimes - beachcombing. 38 00:02:54,680 --> 00:02:59,800 The big prizes when you're down at the beach are sea glass. 39 00:02:59,800 --> 00:03:03,640 And on that day, we'd found a piece of blue sea glass, 40 00:03:03,640 --> 00:03:06,080 we'd found a piece of green. 41 00:03:06,080 --> 00:03:08,720 As we would find interesting things to look at, 42 00:03:08,720 --> 00:03:11,440 everyone would stop and we would, kind of, 43 00:03:11,440 --> 00:03:15,080 pick whatever was our favourite rock or shell. And I would... 44 00:03:15,080 --> 00:03:17,960 I was the one with shorts, so I had them in my pocket. 45 00:03:20,200 --> 00:03:23,440 We're all familiar with gathering trinkets along the shore, 46 00:03:23,440 --> 00:03:27,520 but Lyn's collection was about to change her life forever. 47 00:03:28,720 --> 00:03:31,800 We'd been down there for probably two or three hours. 48 00:03:32,840 --> 00:03:36,680 I came home, I was sitting at this counter 49 00:03:36,680 --> 00:03:38,800 and I was peeling an orange 50 00:03:38,800 --> 00:03:41,640 and all of a sudden, this intense heat, 51 00:03:41,640 --> 00:03:45,200 this intense, er...pain was hitting my leg. 52 00:03:48,800 --> 00:03:51,800 It felt like somebody had a magnifying glass outside the window 53 00:03:51,800 --> 00:03:53,760 and it was aimed at my leg. 54 00:03:53,760 --> 00:03:57,320 So logically, I felt like it must be a bug. 55 00:04:00,120 --> 00:04:03,600 The California coast is home to all manner of dangers... 56 00:04:04,680 --> 00:04:07,840 ..from rip currents to sharks. 57 00:04:08,960 --> 00:04:13,000 But the cause of Lyn's pain was far weirder. 58 00:04:13,000 --> 00:04:17,600 Had she brought back an unexpected guest in her pocket? 59 00:04:17,600 --> 00:04:20,200 Was a scorpion hiding in one of the shells? 60 00:04:20,200 --> 00:04:24,680 Or a deadly cone snail, with barbs poised to paralyse? 61 00:04:29,800 --> 00:04:33,560 I decide to smack my leg to kill whatever is on my leg 62 00:04:33,560 --> 00:04:37,200 and what ends up happening is, I look down, 63 00:04:37,200 --> 00:04:41,120 and there are flames shooting off of my shorts. 64 00:04:46,280 --> 00:04:51,680 We were both, kind of, in this sort of panic of, why isn't it going out? 65 00:04:51,680 --> 00:04:53,800 My husband started yelling, 66 00:04:53,800 --> 00:04:56,280 "Get your shorts off, get your shorts off!" 67 00:04:56,280 --> 00:04:58,760 And I'm trying to undo them with one burnt hand 68 00:04:58,760 --> 00:05:01,600 and he was pulling them off. Um... 69 00:05:01,600 --> 00:05:04,480 the stones were coming out of the burnt hole 70 00:05:04,480 --> 00:05:06,440 and dropping on the ground 71 00:05:06,440 --> 00:05:09,600 and creating small fires each place they would land. 72 00:05:14,840 --> 00:05:19,480 Lyn's carefree trip to the beach cost her ten days in hospital. 73 00:05:22,880 --> 00:05:25,320 All in all, she had to have six operations, 74 00:05:25,320 --> 00:05:27,880 including a complex skin graft. 75 00:05:27,880 --> 00:05:30,600 So, what had caused her shorts to ignite? 76 00:05:30,600 --> 00:05:33,680 What had caused such terrible burns? 77 00:05:33,680 --> 00:05:37,320 Even the emergency services were completely baffled. 78 00:05:39,040 --> 00:05:42,320 Outside, the fire department was asking me what it could have been 79 00:05:42,320 --> 00:05:45,360 and I told them all I had in that pocket were rocks. 80 00:05:45,360 --> 00:05:48,920 And no-one could believe that that was what was causing it. 81 00:05:50,560 --> 00:05:52,760 There was no obvious explanation. 82 00:05:54,440 --> 00:05:58,560 So, the smouldering rocks found at the scene were sent for analysis. 83 00:05:58,560 --> 00:06:03,120 And one, in particular, stuck in Lyn's mind. 84 00:06:03,120 --> 00:06:06,000 One of the rocks actually looked like amber. 85 00:06:06,000 --> 00:06:08,920 That one little rock, I thought was... What a find! 86 00:06:08,920 --> 00:06:13,160 It was this beautiful, er...clear. 87 00:06:13,160 --> 00:06:15,600 It had ribboning going through it. 88 00:06:15,600 --> 00:06:18,280 It wasn't very big. It was very small. 89 00:06:18,280 --> 00:06:20,920 But I thought, "Wow, I've found a piece of amber". 90 00:06:24,720 --> 00:06:28,280 But the little orange stone wasn't amber. 91 00:06:28,280 --> 00:06:32,440 Lyn had picked up something much more deadly. 92 00:06:34,000 --> 00:06:36,680 There are many elements that can self-ignite. 93 00:06:38,880 --> 00:06:42,280 Some, like sodium, are stable in air... 94 00:06:43,720 --> 00:06:46,520 ..but react violently in water. 95 00:06:48,560 --> 00:06:51,040 One, however, does the complete opposite. 96 00:06:52,560 --> 00:06:54,360 Phosphorous. 97 00:06:54,360 --> 00:06:56,760 In water, it's stable. 98 00:06:58,680 --> 00:07:02,640 But when taken out of water, it spontaneously combusts 99 00:07:02,640 --> 00:07:04,840 with the oxygen present in this flask. 100 00:07:08,920 --> 00:07:12,320 Burning at around 1,300 degrees Celsius. 101 00:07:19,240 --> 00:07:22,200 Now, you might have encountered phosphorus before. 102 00:07:22,200 --> 00:07:25,480 Perhaps in one of these, a flare, or even in matches. 103 00:07:25,480 --> 00:07:28,600 It's a reactive chemical. It's certainly flammable. 104 00:07:28,600 --> 00:07:30,960 But it's nothing compared to the type of phosphorus 105 00:07:30,960 --> 00:07:34,800 that Lyn inadvertently picked up on the beach. 106 00:07:34,800 --> 00:07:37,240 No, that was white phosphorous. 107 00:07:37,240 --> 00:07:39,080 The most explosive kind. 108 00:07:41,840 --> 00:07:45,080 Whilst Lyn's shorts were still damp from paddling, 109 00:07:45,080 --> 00:07:48,040 the pebble of phosphorus in her pocket was stable. 110 00:07:49,560 --> 00:07:53,000 But when her shorts began to dry out, 111 00:07:53,000 --> 00:07:55,520 that's when the rock ignited. 112 00:07:58,200 --> 00:08:01,920 So, are we talking about a new discovery in the world of geology? 113 00:08:04,480 --> 00:08:07,800 A naturally-occurring, phosphorus-rich mineral? 114 00:08:07,800 --> 00:08:09,640 Sadly not. 115 00:08:09,640 --> 00:08:12,000 The pebble that Lyn happened upon 116 00:08:12,000 --> 00:08:14,280 was most likely the explosive remnants 117 00:08:14,280 --> 00:08:16,280 of an old artillery shell 118 00:08:16,280 --> 00:08:19,120 left over from military exercises. 119 00:08:20,960 --> 00:08:25,480 Certainly not the usual type of shell you'd expect to find on the beach. 120 00:08:26,680 --> 00:08:30,400 Had the kids been the ones who carried the rocks, 121 00:08:30,400 --> 00:08:33,800 a very different scenario that I would not like to even consider. 122 00:08:40,080 --> 00:08:42,360 Well, what a sobering story. 123 00:08:42,360 --> 00:08:44,760 Makes me think that the next time I go beachcombing 124 00:08:44,760 --> 00:08:46,560 and find something a bit weird, 125 00:08:46,560 --> 00:08:48,400 I probably won't put it in my pocket. 126 00:08:48,400 --> 00:08:50,400 Just have an ice cream instead. 127 00:08:50,400 --> 00:08:53,120 But it also reminds me of another story. 128 00:08:53,120 --> 00:08:55,160 An astonishing discovery made 129 00:08:55,160 --> 00:08:57,920 when someone was just out for a stroll. 130 00:08:57,920 --> 00:09:02,560 Something that redefined the world of sound forever. 131 00:09:06,000 --> 00:09:10,040 OK, what's the loudest animal on the planet? 132 00:09:10,040 --> 00:09:11,720 ROAR! 133 00:09:11,720 --> 00:09:14,040 No. 134 00:09:14,040 --> 00:09:16,120 HOWL! Not quite. 135 00:09:16,120 --> 00:09:18,920 TRUMPET! Nearly. 136 00:09:18,920 --> 00:09:21,120 CLICK! That's it. 137 00:09:23,280 --> 00:09:24,960 The blue whale. 138 00:09:24,960 --> 00:09:28,320 The largest and the loudest animal on Earth. 139 00:09:29,960 --> 00:09:34,720 With a call at over 188 decibels, 140 00:09:34,720 --> 00:09:36,920 louder than a jet engine. 141 00:09:40,520 --> 00:09:43,920 For decades, this ocean giant has held the title. 142 00:09:43,920 --> 00:09:46,280 That it, until recently. 143 00:09:49,840 --> 00:09:53,800 You see, scientists have discovered a new contender. 144 00:09:53,800 --> 00:09:57,320 That, relative to its size, can give the blue whale 145 00:09:57,320 --> 00:09:59,200 a run for its money. 146 00:10:04,680 --> 00:10:08,040 So, what is this cacophonous creature? 147 00:10:10,160 --> 00:10:15,400 Well, I can tell you one thing, it's a tad smaller than a blue whale. 148 00:10:16,520 --> 00:10:19,560 The discovery was made by an inquisitive scientist 149 00:10:19,560 --> 00:10:22,320 experimenting with a new area of research. 150 00:10:25,960 --> 00:10:28,960 Some of the group were just walking along by a lake. 151 00:10:31,120 --> 00:10:34,800 And they could suddenly hear a very high-pitched chirping sound, 152 00:10:34,800 --> 00:10:37,640 as you'd expect to hear from an insect. 153 00:10:37,640 --> 00:10:40,520 But they couldn't actually see any of the insects. 154 00:10:43,200 --> 00:10:45,040 It was then it dawned on them 155 00:10:45,040 --> 00:10:48,520 that there must be something actually in the water. 156 00:10:48,520 --> 00:10:50,800 After much exploration of the riverbank, 157 00:10:50,800 --> 00:10:55,720 James and his team discovered the unlikely source of the sound. 158 00:10:55,720 --> 00:10:57,720 CHIRPING 159 00:10:57,720 --> 00:11:00,720 It was the tiny water boatman. 160 00:11:05,720 --> 00:11:07,680 I know what you're thinking. 161 00:11:07,680 --> 00:11:10,920 What you're thinking is that that's just a little squeak. 162 00:11:10,920 --> 00:11:13,400 But, at just two millimetres long, 163 00:11:13,400 --> 00:11:18,840 the water boatman is producing a sound at 99.2 decibels. 164 00:11:18,840 --> 00:11:23,120 That's the same as me revving up this engine! 165 00:11:23,120 --> 00:11:26,960 And then, imagine if the thing was the size of a whale. 166 00:11:26,960 --> 00:11:29,640 ENGINE REVS The noise would be deafening! 167 00:11:34,040 --> 00:11:37,480 Unable to believe their ears, James and his colleagues 168 00:11:37,480 --> 00:11:40,840 collected a few water boatmen and took them back to the lab. 169 00:11:41,920 --> 00:11:44,400 You could hear them singing in the tubs. 170 00:11:44,400 --> 00:11:48,920 And, of course, that then told us that these must be very loud insects 171 00:11:48,920 --> 00:11:53,920 because sound doesn't transfer out of water and into air very well. 172 00:11:56,800 --> 00:12:00,760 In fact, 99% of the sound in water 173 00:12:00,760 --> 00:12:04,240 is lost when it transfers to the air. 174 00:12:06,480 --> 00:12:10,040 So just imagine how powerful it would be out of the water. 175 00:12:15,040 --> 00:12:19,680 But what's weirdest of all is how the boatmen actually produce this sound. 176 00:12:19,680 --> 00:12:22,840 You see, they don't do it by rubbing their legs together. 177 00:12:22,840 --> 00:12:25,920 They don't do it by rubbing their wings together. 178 00:12:25,920 --> 00:12:30,560 They do it by using an altogether different part of their anatomy. 179 00:12:34,720 --> 00:12:36,360 So this tiny insect makes this sound 180 00:12:36,360 --> 00:12:39,920 by rubbing one part of their hard exoskeleton against another. 181 00:12:39,920 --> 00:12:41,720 In essence, it's called stridulation. 182 00:12:41,720 --> 00:12:44,080 So a similar thing to what grasshoppers and crickets do 183 00:12:44,080 --> 00:12:47,120 to produce these rasping, er...scratchy sounds. 184 00:12:50,720 --> 00:12:52,400 What really sets this story apart 185 00:12:52,400 --> 00:12:54,720 is the fact that this lesser water boatman 186 00:12:54,720 --> 00:12:57,000 uses part of its penis to make the sound. 187 00:12:58,840 --> 00:13:00,760 That's right, you've heard it correctly. 188 00:13:00,760 --> 00:13:04,080 The water boatman sings with its penis. 189 00:13:07,400 --> 00:13:11,120 By rubbing the structure against a grooved section of their abdomen, 190 00:13:11,120 --> 00:13:13,800 water boatmen sing, to attract females. 191 00:13:15,680 --> 00:13:17,640 The fact that it's so loud is also very weird, 192 00:13:17,640 --> 00:13:20,600 because the area it produces the sound with is very small. 193 00:13:20,600 --> 00:13:22,560 It's about the width of a human hair. 194 00:13:22,560 --> 00:13:25,680 So, water boatmen produce their massive sound 195 00:13:25,680 --> 00:13:27,920 with a microscopic instrument. 196 00:13:30,200 --> 00:13:33,880 Just goes to prove, size isn't everything. 197 00:13:38,240 --> 00:13:41,680 Well, it's an earth-shattering serenade, that's for sure. 198 00:13:43,320 --> 00:13:47,440 But from record-breaking sounds to record-breaking size. 199 00:13:47,440 --> 00:13:52,280 Our next story is an assault on the senses of a very different kind. 200 00:13:56,520 --> 00:13:57,880 Sumatra. 201 00:13:59,320 --> 00:14:03,000 Home to some of the world's most rare and beautiful plants. 202 00:14:06,240 --> 00:14:10,200 Whilst most compete to attract pollinators with delicate blooms... 203 00:14:13,520 --> 00:14:15,600 ..and sumptuous smells... 204 00:14:17,840 --> 00:14:21,040 ..one species has taken a very different path. 205 00:14:23,240 --> 00:14:26,560 A bizarre turn off of the evolutionary highway. 206 00:14:27,880 --> 00:14:32,000 And there just happens to be a specimen of this floral rebel 207 00:14:32,000 --> 00:14:35,200 lurking in the Cambridge Botanic Gardens. 208 00:14:40,320 --> 00:14:42,040 Meet the titan arum. 209 00:14:44,200 --> 00:14:46,560 Reaching up to three metres in height, 210 00:14:46,560 --> 00:14:51,040 this is the largest flowering structure in the world. 211 00:14:52,440 --> 00:14:55,080 Blooming just once every ten years, 212 00:14:55,080 --> 00:14:59,000 this is a true botanical oddity. 213 00:14:59,000 --> 00:15:02,480 But it's not just its looks that are unusual. 214 00:15:02,480 --> 00:15:04,360 It's also its smell. 215 00:15:07,200 --> 00:15:11,840 This misfit is not interested in attracting bees or butterflies. 216 00:15:11,840 --> 00:15:16,240 It aims to lure in a much more unconventional group of pollinators. 217 00:15:17,760 --> 00:15:19,440 Carrion beetles - 218 00:15:19,440 --> 00:15:22,200 the undertakers of the natural world. 219 00:15:22,200 --> 00:15:26,680 Just as honeybees are attracted by the sweet smell of nectar, 220 00:15:26,680 --> 00:15:29,280 these gruesome insects are attracted by 221 00:15:29,280 --> 00:15:31,880 the scent of decomposing carcases. 222 00:15:33,840 --> 00:15:39,080 Which is why this bloom smells like a corpse. 223 00:15:40,920 --> 00:15:44,680 The distinctive stench is made up of a host of chemical compounds. 224 00:15:47,680 --> 00:15:50,880 One of the key components is dimethyl trisulfide. 225 00:15:50,880 --> 00:15:55,800 It's one of the principle ingredients in the smell of human faeces. 226 00:15:55,800 --> 00:15:58,400 So, you can only imagine the stench. 227 00:15:58,400 --> 00:15:59,680 Well, you can imagine it, 228 00:15:59,680 --> 00:16:02,280 but a group of scientists had to get to grips with it. 229 00:16:02,280 --> 00:16:04,520 Because they broke it down to analyse it 230 00:16:04,520 --> 00:16:07,640 and found a ripe cocktail of ingredients. 231 00:16:07,640 --> 00:16:11,240 Yes. Instead of releasing just one awful smell, 232 00:16:11,240 --> 00:16:14,680 this plant releases a succession of aromas. 233 00:16:14,680 --> 00:16:17,240 Beginning with rotting fruit, 234 00:16:17,240 --> 00:16:21,160 then flesh and finally, rotten fish. 235 00:16:22,920 --> 00:16:27,000 No. The odour is only the start of the deception. 236 00:16:27,000 --> 00:16:29,880 If you imagine a plant flowering in a dense jungle environment, 237 00:16:29,880 --> 00:16:32,240 it's no good being brightly coloured or easy to see 238 00:16:32,240 --> 00:16:34,000 because you're in dense vegetation. 239 00:16:34,000 --> 00:16:36,640 So, it's much better to attract pollinators by having a smell 240 00:16:36,640 --> 00:16:39,120 which disperses over quite a big distance. 241 00:16:41,840 --> 00:16:44,920 The titan arum is effectively mimicking a piece of dead animal. 242 00:16:44,920 --> 00:16:46,600 It's got the colours, 243 00:16:46,600 --> 00:16:48,640 if you look at the deep red, it looks like blood. 244 00:16:48,640 --> 00:16:51,080 There's the yellowy textures in there. 245 00:16:51,080 --> 00:16:53,440 And then with that scent, as well, of rotting flesh, 246 00:16:53,440 --> 00:16:56,920 it's really doing a good job of pretending to be a dead animal. 247 00:17:02,680 --> 00:17:04,680 It's a convincing con. 248 00:17:04,680 --> 00:17:08,520 A plant that looks and smells like rotten meat. 249 00:17:08,520 --> 00:17:10,960 But the tricks don't end there. 250 00:17:12,560 --> 00:17:15,480 Using some clever chemical reactions, the titan arum 251 00:17:15,480 --> 00:17:20,920 can the turn the energy it normally uses for growth, into warmth. 252 00:17:20,920 --> 00:17:23,960 It's a feat that requires so much energy, 253 00:17:23,960 --> 00:17:27,160 the plant can only flower very rarely. 254 00:17:28,640 --> 00:17:34,080 And disturbingly, the temperature it reaches is 37-degrees C. 255 00:17:34,080 --> 00:17:36,320 Human body temperature. 256 00:17:37,800 --> 00:17:40,920 But, you know, it can get even hotter. 257 00:17:40,920 --> 00:17:43,760 So, is this a plant pretending to be a mammal? 258 00:17:43,760 --> 00:17:45,600 Surely not! 259 00:17:45,600 --> 00:17:46,840 The first night it's open, 260 00:17:46,840 --> 00:17:49,440 the flower heats itself up to about 40-degrees centigrade. 261 00:17:49,440 --> 00:17:50,960 And that heating up allows 262 00:17:50,960 --> 00:17:54,120 the chemical compounds that are made to be released. 263 00:17:54,120 --> 00:17:57,320 So, for every ten degrees or so centigrade you increase temperature, 264 00:17:57,320 --> 00:17:59,560 you increase tenfold the distance 265 00:17:59,560 --> 00:18:01,840 that scent molecules will travel in the air. 266 00:18:01,840 --> 00:18:03,320 So, by heating itself up, 267 00:18:03,320 --> 00:18:06,240 it's really increasing the chances of that scent getting out 268 00:18:06,240 --> 00:18:08,600 and being picked up by the pollinators. 269 00:18:11,360 --> 00:18:15,560 So, the heat spreads the rancid odour further into the jungle, 270 00:18:15,560 --> 00:18:18,800 to entice insects from far and wide. 271 00:18:18,800 --> 00:18:20,560 It's nothing sinister. 272 00:18:20,560 --> 00:18:24,000 It's a genius act of mimicry. 273 00:18:24,000 --> 00:18:28,080 Lured by the smell and the promise of food, 274 00:18:28,080 --> 00:18:32,080 the beetles wander around, searching for their non-existent reward. 275 00:18:32,080 --> 00:18:36,920 But in doing so, they inadvertently pollinate the plant. 276 00:18:36,920 --> 00:18:39,440 Exactly what it wanted. 277 00:18:41,440 --> 00:18:43,720 Poor little insects. I feel quite sorry for them, 278 00:18:43,720 --> 00:18:45,560 being led up the garden path. 279 00:18:45,560 --> 00:18:48,360 But what a weird story this is. 280 00:18:48,360 --> 00:18:52,640 A plant that generates enough heat to mimic a human body. 281 00:18:52,640 --> 00:18:54,480 Whatever next? 282 00:18:54,480 --> 00:18:57,800 Well, not a Day of the Triffids-style takeover, I fear. 283 00:18:57,800 --> 00:19:00,360 Because, you see, the energy required to grow so big 284 00:19:00,360 --> 00:19:02,040 and to produce that central heating 285 00:19:02,040 --> 00:19:06,560 means that this plant can only ever flower for 48 hours. 286 00:19:06,560 --> 00:19:09,520 And, in fact, the titan arum is incredibly rare, 287 00:19:09,520 --> 00:19:12,960 probably because of this weird strategy. 288 00:19:12,960 --> 00:19:15,880 So, not much chance of a world takeover. 289 00:19:18,360 --> 00:19:20,760 From explosive rocks 290 00:19:20,760 --> 00:19:25,280 to tiny insects with something to shout about 291 00:19:25,280 --> 00:19:28,720 and flowers with stomach-churning fragrances. 292 00:19:28,720 --> 00:19:31,400 This is only the beginning. 293 00:19:37,000 --> 00:19:38,920 Right, then, what next? 294 00:19:38,920 --> 00:19:41,200 Well, we're going from a remarkable story 295 00:19:41,200 --> 00:19:44,840 about some surprisingly-generous garden visitors, 296 00:19:44,840 --> 00:19:47,160 via the typical circuitous route, 297 00:19:47,160 --> 00:19:49,320 to an unusual marine motel. 298 00:19:51,760 --> 00:19:54,120 We begin our journey in Seattle. 299 00:19:54,120 --> 00:19:58,520 Home to eight-year-old Gabi Mann and her family. 300 00:20:00,360 --> 00:20:03,240 Like many kids, Gabi likes to collect things. 301 00:20:05,000 --> 00:20:08,320 But her treasures aren't dolls or stickers. 302 00:20:09,480 --> 00:20:11,880 Metal, plastic, 303 00:20:11,880 --> 00:20:14,680 buttons, screws, 304 00:20:14,680 --> 00:20:19,000 rocks, more glass, bones. 305 00:20:19,000 --> 00:20:20,920 A lot of things. 306 00:20:20,920 --> 00:20:24,680 And it's not just the content of her collection that's unusual. 307 00:20:24,680 --> 00:20:27,440 It's who gave it to her. 308 00:20:27,440 --> 00:20:31,200 They are my friends and some of them are, like, family. 309 00:20:32,920 --> 00:20:34,640 They're really nice. 310 00:20:35,920 --> 00:20:38,840 At least, most of them, I think. 311 00:20:40,680 --> 00:20:43,800 Gabi's not referring to her friends at school, 312 00:20:43,800 --> 00:20:46,640 but to the crows in her backyard. 313 00:20:49,040 --> 00:20:51,200 Over the past two and a half years, 314 00:20:51,200 --> 00:20:53,600 these generous garden visitors 315 00:20:53,600 --> 00:20:56,520 have been regularly bringing her gifts. 316 00:20:56,520 --> 00:21:01,640 Her collection now contains over 100 different objects - 317 00:21:01,640 --> 00:21:04,480 some dropped right at her feet. 318 00:21:04,480 --> 00:21:07,120 And her collection is still growing. 319 00:21:08,640 --> 00:21:10,480 - Can I show you one right now? - Yeah. 320 00:21:11,760 --> 00:21:13,880 I have one right in my hand. 321 00:21:13,880 --> 00:21:16,320 It's a squid that I got a week ago. 322 00:21:22,400 --> 00:21:24,400 The million-dollar question is, 323 00:21:24,400 --> 00:21:27,400 are these birds really Gabi's friends? 324 00:21:27,400 --> 00:21:33,120 I mean, could these crows really be leaving gifts specifically for her? 325 00:21:33,120 --> 00:21:34,840 Now, don't get me wrong, 326 00:21:34,840 --> 00:21:38,040 I'm a massive fan of the crow family, the corvids, 327 00:21:38,040 --> 00:21:40,160 but I've never really seen them as 328 00:21:40,160 --> 00:21:43,440 caring, sharing, gift-giving birds. 329 00:21:43,440 --> 00:21:46,480 So, could this behaviour be real, 330 00:21:46,480 --> 00:21:49,560 or is it just a figment of a child's vivid imagination? 331 00:21:51,880 --> 00:21:53,720 I'd heard about gifting before, 332 00:21:53,720 --> 00:21:57,360 but this was the most extensive collection by far I'd ever seen. 333 00:22:01,640 --> 00:22:06,320 A lot of animals use gifts of one sort or the other 334 00:22:06,320 --> 00:22:09,160 to convey either their status, 335 00:22:09,160 --> 00:22:11,640 or their interest in another partner. 336 00:22:11,640 --> 00:22:13,080 But as far as we know, 337 00:22:13,080 --> 00:22:15,760 corvids are the only birds that do this with people. 338 00:22:15,760 --> 00:22:20,120 Crows give gifts to people, really, to help cement a bond, 339 00:22:20,120 --> 00:22:23,800 an important relationship that they have with this person. 340 00:22:23,800 --> 00:22:27,240 So, how common are crow companionships like Gabi's? 341 00:22:29,080 --> 00:22:33,800 There's probably 20 or 30 instances of this happening around the world. 342 00:22:33,800 --> 00:22:36,440 And they all have some consistency, in terms of a person 343 00:22:36,440 --> 00:22:38,920 that's been engaging quite actively with the birds. 344 00:22:38,920 --> 00:22:42,400 Feeding them a lot, consistently, maybe even rescuing them. 345 00:22:42,400 --> 00:22:44,920 We've had cases where a crow was stuck in a fence 346 00:22:44,920 --> 00:22:49,320 and a woman took the crow out of the fence and started getting gifts. 347 00:22:49,320 --> 00:22:53,800 The gifts seem to be a thank you for the food Gabi leaves out for them. 348 00:22:53,800 --> 00:22:55,840 Pretty good manners. 349 00:22:55,840 --> 00:22:59,160 But is there a motive behind their kindness? 350 00:23:03,360 --> 00:23:07,560 Crows are undoubtedly some of the smartest animals on our planet. 351 00:23:07,560 --> 00:23:11,120 They have an extremely large brain for their body size. 352 00:23:11,120 --> 00:23:14,520 And because they live a long life, sometimes more than 20 years, 353 00:23:14,520 --> 00:23:17,560 they can develop some cunning ways to find food. 354 00:23:18,880 --> 00:23:21,280 In addition to befriending people, 355 00:23:21,280 --> 00:23:25,800 studies have shown that crows are capable of using a sequence of tools 356 00:23:25,800 --> 00:23:27,840 to find a tasty reward. 357 00:23:29,560 --> 00:23:33,440 Something that previously, only humans and chimpanzees 358 00:23:33,440 --> 00:23:35,760 were thought to have the brainpower to do. 359 00:23:40,240 --> 00:23:43,600 Back in Seattle, Gabi's found that, over the years, 360 00:23:43,600 --> 00:23:47,920 the gifts she's been receiving appear to have been getting more human. 361 00:23:47,920 --> 00:23:51,160 So, could these super-smart crows 362 00:23:51,160 --> 00:23:56,000 really be picking out gifts they know she will like? 363 00:23:56,000 --> 00:23:59,760 I would not put it past these birds to make the association 364 00:23:59,760 --> 00:24:02,720 between these strange objects in their environment 365 00:24:02,720 --> 00:24:04,880 and humans having produced those. 366 00:24:06,440 --> 00:24:10,640 It may simply be that we notice human things more also. 367 00:24:10,640 --> 00:24:13,920 As humans ourselves, we don't pay attention to little bits of bark 368 00:24:13,920 --> 00:24:16,600 and rock as much as we would a rubber squid. 369 00:24:16,600 --> 00:24:18,240 You would notice that! 370 00:24:18,240 --> 00:24:23,120 Whatever the motive, Gabi certainly has a very special bond 371 00:24:23,120 --> 00:24:25,400 with the crows in her back garden. 372 00:24:29,840 --> 00:24:32,080 I think I'd like a crow as a friend. 373 00:24:32,080 --> 00:24:34,120 Although I did have a magpie when I was a kid. 374 00:24:34,120 --> 00:24:36,920 I gave it cat food and it redistributed it 375 00:24:36,920 --> 00:24:39,360 all over the bedroom, so maybe not. 376 00:24:39,360 --> 00:24:41,920 But whether this is an actual case 377 00:24:41,920 --> 00:24:43,880 of cross-species kindness, 378 00:24:43,880 --> 00:24:47,360 or the crows swapping a few odds and ends for food, 379 00:24:47,360 --> 00:24:48,920 I don't suppose we'll ever know. 380 00:24:48,920 --> 00:24:52,560 Although the pragmatist in me leans towards the latter. 381 00:24:52,560 --> 00:24:57,920 But there is an incredible and proven example of gift-giving 382 00:24:57,920 --> 00:25:00,920 which is happening on a truly global scale. 383 00:25:05,480 --> 00:25:10,760 The Amazon, one of the most biodiverse places on the planet... 384 00:25:12,200 --> 00:25:16,240 boasting 10% of all the world's species... 385 00:25:16,240 --> 00:25:20,240 and over 400 billion trees. 386 00:25:20,240 --> 00:25:22,960 But, you know, it wouldn't be anywhere near as abundant 387 00:25:22,960 --> 00:25:25,240 if it weren't for one element. 388 00:25:29,080 --> 00:25:31,200 Our old friend, phosphorus. 389 00:25:34,320 --> 00:25:38,560 Thankfully, not in the explosive man-made form we saw earlier, 390 00:25:38,560 --> 00:25:40,920 but in its naturally occurring form, phosphate. 391 00:25:43,480 --> 00:25:46,080 A vital nutrient for plant growth. 392 00:25:58,400 --> 00:26:00,760 But the Amazon has a problem. 393 00:26:00,760 --> 00:26:03,600 You see, every year when the rains come, they rinse through 394 00:26:03,600 --> 00:26:08,360 the top layers of the soil and wash away almost all of the phosphorus. 395 00:26:08,360 --> 00:26:12,440 And that's a disaster. Phosphorus is essential to life. 396 00:26:12,440 --> 00:26:17,720 It's in the very DNA, a key component of the DNA in the plants. 397 00:26:17,720 --> 00:26:21,160 So with no phosphorus, you've got no trunks, you've got no leaves, 398 00:26:21,160 --> 00:26:23,560 you've got no parrots, sloths, jaguars. 399 00:26:23,560 --> 00:26:26,560 Without the phosphorus, you've got no Amazon. 400 00:26:28,480 --> 00:26:31,920 So, with the phosphorus constantly getting washed away, 401 00:26:31,920 --> 00:26:35,800 how is this biodiversity hot spot still standing? 402 00:26:35,800 --> 00:26:38,880 There was some mechanism that was actually replenishing that 403 00:26:38,880 --> 00:26:41,160 phosphorus year-on-year. 404 00:26:41,160 --> 00:26:44,920 And so, we were looking at where that phosphorus may have come from. 405 00:26:47,840 --> 00:26:49,800 Potentially, it could have been 406 00:26:49,800 --> 00:26:53,080 drawn in locally, on stronger winds from South America, 407 00:26:53,080 --> 00:26:58,000 but actually, research has shown that it's come vast distances. 408 00:26:58,000 --> 00:27:02,080 Scientists confirmed a sneaking suspicion that the Amazon 409 00:27:02,080 --> 00:27:03,640 is getting a little help. 410 00:27:05,320 --> 00:27:09,120 And it's in the form of a very long-distance relationship. 411 00:27:11,600 --> 00:27:14,280 Because the Amazon forest... 412 00:27:14,280 --> 00:27:15,720 is getting help... 413 00:27:18,360 --> 00:27:20,080 from the Sahara Desert. 414 00:27:23,320 --> 00:27:25,920 A barren landscape, 415 00:27:25,920 --> 00:27:30,040 where temperatures can reach 57 degrees Celsius 416 00:27:30,040 --> 00:27:34,040 and wind speeds top 55mph. 417 00:27:34,040 --> 00:27:38,840 It's perhaps not the first place you think of helping solve 418 00:27:38,840 --> 00:27:42,680 a horticultural problem on a mammoth scale. 419 00:27:42,680 --> 00:27:46,720 When we think of the Saharan desert, we don't think of lush vegetation. 420 00:27:46,720 --> 00:27:52,400 It's a very dry, arid area, but it's full of nutrients. 421 00:27:52,400 --> 00:27:58,480 Nutrients, this place? Well, yes. It seems the Sahara also has a secret. 422 00:28:00,840 --> 00:28:05,600 And that secret lies in the Bodele Depression in Chad, 423 00:28:05,600 --> 00:28:08,440 a region that was once a giant lake. 424 00:28:09,440 --> 00:28:11,680 Over millions of years, 425 00:28:11,680 --> 00:28:13,880 aquatic animals lived, 426 00:28:13,880 --> 00:28:16,680 died and decomposed in the lake, 427 00:28:16,680 --> 00:28:20,480 depositing phosphorus into its sediment. 428 00:28:23,320 --> 00:28:25,560 Now the lake has long since dried up, 429 00:28:25,560 --> 00:28:29,240 but its dusty remains are still loaded with goodness. 430 00:28:30,640 --> 00:28:34,960 And it's these particles that have been found in the Amazon. 431 00:28:36,600 --> 00:28:40,320 But with 10,000 kilometres and an ocean between them, 432 00:28:40,320 --> 00:28:42,800 how is the phosphorus getting there? 433 00:28:44,480 --> 00:28:48,440 Well, NASA satellites have been able to shed some light. 434 00:28:49,680 --> 00:28:51,840 So, the satellite data showed us 435 00:28:51,840 --> 00:28:54,080 a three-dimensional structure of the atmosphere, 436 00:28:54,080 --> 00:28:56,280 so we could clearly see that dust was being 437 00:28:56,280 --> 00:28:58,280 taken from the Saharan desert, 438 00:28:58,280 --> 00:29:00,040 from the surface of the Earth 439 00:29:00,040 --> 00:29:01,600 high into the atmosphere 440 00:29:01,600 --> 00:29:05,000 and then transported all the way across the Atlantic Ocean 441 00:29:05,000 --> 00:29:07,120 to be deposited in the Amazon basin. 442 00:29:11,280 --> 00:29:14,520 What a remarkable journey. 443 00:29:14,520 --> 00:29:17,920 Although, when the dust is blown to the UK from the Sahara, 444 00:29:17,920 --> 00:29:19,400 a much shorter distance, 445 00:29:19,400 --> 00:29:22,600 it's often just a light sprinkling on cars and windows. 446 00:29:24,720 --> 00:29:28,440 So, how much dust actually reaches the Amazon? 447 00:29:31,480 --> 00:29:34,960 Every year, 182 million tonnes of dust 448 00:29:34,960 --> 00:29:37,800 is lifted from central Africa. 449 00:29:37,800 --> 00:29:42,160 Most of that dust falls into the ocean but about 30 million tonnes 450 00:29:42,160 --> 00:29:44,400 falls into the Amazon basin 451 00:29:44,400 --> 00:29:47,800 and that provides 22,000 tonnes of phosphorus 452 00:29:47,800 --> 00:29:49,760 to that region every year. 453 00:29:51,120 --> 00:29:54,760 And if you're wondering just how much phosphorus that is, 454 00:29:54,760 --> 00:29:59,160 it's almost 2,500 truckloads. 455 00:29:59,160 --> 00:30:01,440 That's quite an impressive aid package. 456 00:30:04,160 --> 00:30:05,400 So, there you go. 457 00:30:05,400 --> 00:30:09,120 Proof that a global love-in can actually help support 458 00:30:09,120 --> 00:30:13,720 one of the world's most complex, beautiful, impressive ecosystems, 459 00:30:13,720 --> 00:30:16,720 although I'm not sure the Bodele Depression gets too much out of it. 460 00:30:16,720 --> 00:30:19,280 It's a bit one-sided, this relationship. 461 00:30:19,280 --> 00:30:21,120 Reminds me of another one, 462 00:30:21,120 --> 00:30:24,840 which could frankly be described as a real pain in the backside. 463 00:30:28,440 --> 00:30:30,120 The Great Barrier Reef. 464 00:30:33,600 --> 00:30:37,560 Thousands of species live here and space is tight. 465 00:30:39,360 --> 00:30:41,920 It can make finding a home pretty tricky. 466 00:30:43,760 --> 00:30:46,520 Even out on the quieter reef edge - 467 00:30:46,520 --> 00:30:50,680 the exposed seabed offers few hiding places. 468 00:30:54,520 --> 00:31:00,040 If you're neither strong or well armed, like this tiny pearlfish, 469 00:31:00,040 --> 00:31:04,680 you'll need to get creative when it comes to looking for shelter. 470 00:31:04,680 --> 00:31:08,160 Perhaps set your sights slightly stranger. 471 00:31:11,080 --> 00:31:16,200 Enter the sea cucumber. Known as the vacuum cleaners of the sea, 472 00:31:16,200 --> 00:31:20,240 they move along the sea bed, sucking in sand at one end 473 00:31:20,240 --> 00:31:23,040 and then expelling it out of the other. 474 00:31:24,920 --> 00:31:28,560 And it's this bizarre creature that has the solution 475 00:31:28,560 --> 00:31:31,320 to the pearlfish's accommodation problem. 476 00:31:36,160 --> 00:31:40,000 To find out more, we need a marine biologist. 477 00:31:40,000 --> 00:31:41,640 Pearlfish, they're little fish. 478 00:31:41,640 --> 00:31:43,240 They're quite vulnerable, 479 00:31:43,240 --> 00:31:46,920 simply because coral reefs are full of hungry predators. 480 00:31:50,400 --> 00:31:52,440 You mostly would only see them 481 00:31:52,440 --> 00:31:53,720 out and about at night-time, 482 00:31:53,720 --> 00:31:55,480 where they go out hunting for plankton, 483 00:31:55,480 --> 00:31:57,920 the little creatures that live in the water column, 484 00:31:57,920 --> 00:32:01,120 and then, during the day, they need to find somewhere to hide. 485 00:32:01,120 --> 00:32:03,800 Well, all of that sounds fairly sensible 486 00:32:03,800 --> 00:32:07,360 but where does the sea cucumber come in? 487 00:32:07,360 --> 00:32:10,040 So, sea cucumbers have, basically, a hole at the front end 488 00:32:10,040 --> 00:32:11,160 and the back end. 489 00:32:11,160 --> 00:32:13,760 The front end is where the food goes in 490 00:32:13,760 --> 00:32:16,480 and all sorts of things happen at that back end. 491 00:32:16,480 --> 00:32:20,120 It's where they breathe, it's where they will excrete the sand 492 00:32:20,120 --> 00:32:22,320 that they've been eating, any other 493 00:32:22,320 --> 00:32:24,400 digestive material will come out 494 00:32:24,400 --> 00:32:27,360 and that's also where they reproduce, 495 00:32:27,360 --> 00:32:30,840 so it's a, kind of, one hole does many things. 496 00:32:30,840 --> 00:32:33,400 And therein lies the clue. 497 00:32:33,400 --> 00:32:37,280 Because the pearlfish makes its cosy home 498 00:32:37,280 --> 00:32:41,000 inside the sea cucumber's bottom. 499 00:32:42,440 --> 00:32:46,880 It has to be one of nature's weirdest living arrangements. 500 00:32:46,880 --> 00:32:52,120 But is this honestly the best real estate available to the pearlfish? 501 00:32:52,120 --> 00:32:55,440 Well, if you can imagine those sandy areas next to a coral reef, 502 00:32:55,440 --> 00:32:57,960 there's really nowhere to hide. It's just flat sand. 503 00:32:57,960 --> 00:33:01,520 There aren't many rocks or any other holes or crevices to hide them. 504 00:33:01,520 --> 00:33:03,760 But there are sea cucumbers. 505 00:33:03,760 --> 00:33:05,720 Maybe. But whilst the pearlfish 506 00:33:05,720 --> 00:33:08,360 may have set its sights on a potential home, 507 00:33:08,360 --> 00:33:11,240 entry isn't always guaranteed. 508 00:33:11,240 --> 00:33:15,560 If a sea cucumber does have an idea there is a pearlfish around 509 00:33:15,560 --> 00:33:17,480 it might close up its bottom, 510 00:33:17,480 --> 00:33:21,480 so for a little while, it won't be open for guests. 511 00:33:21,480 --> 00:33:25,080 If I knew there was a pearlfish around, I'd close my bottom, too. 512 00:33:25,080 --> 00:33:29,000 But the resourceful fish has a solution to this problem. 513 00:33:29,000 --> 00:33:33,520 By sticking the tip of its tail into the sea cucumber's rear end... 514 00:33:34,640 --> 00:33:38,480 ..the pearlfish cuts off its oxygen supply, 515 00:33:38,480 --> 00:33:41,520 knowing that the sea cucumber will have to open up 516 00:33:41,520 --> 00:33:46,240 to breathe eventually and when it does, it's home sweet home. 517 00:33:47,440 --> 00:33:51,480 Pearlfish really have to be the worst tenants. 518 00:33:51,480 --> 00:33:53,800 But what's really weird, although, let's face it, 519 00:33:53,800 --> 00:33:57,080 what isn't weird about this story, is that the sea cucumber 520 00:33:57,080 --> 00:34:01,040 could evict the pearlfish if they really wanted to. 521 00:34:02,840 --> 00:34:05,160 If other fish come up and disturb a sea cucumber, 522 00:34:05,160 --> 00:34:07,400 it has a really great defence mechanism. 523 00:34:07,400 --> 00:34:09,480 What they'll do as a defence 524 00:34:09,480 --> 00:34:13,440 is spew their guts out through their bottoms. 525 00:34:13,440 --> 00:34:17,160 And this is to, basically, distract a predator that's coming along 526 00:34:17,160 --> 00:34:19,680 and then they can make their slow getaway. 527 00:34:19,680 --> 00:34:21,960 But this doesn't happen with the pearlfish. 528 00:34:21,960 --> 00:34:25,480 Somehow, they don't trigger this fear response in the sea cucumber. 529 00:34:25,480 --> 00:34:29,800 So, despite being armed with a gutsy defence, the hospitable 530 00:34:29,800 --> 00:34:35,040 sea cucumber lets the pearlfish stay, which isn't understood yet. 531 00:34:35,040 --> 00:34:38,760 But then, there's just no accounting for some behaviour. 532 00:34:42,760 --> 00:34:47,640 Crows that bring gifts, deserts that feed forests 533 00:34:47,640 --> 00:34:52,560 and sea cucumbers that put up with the very raw end of the deal. 534 00:34:52,560 --> 00:34:57,000 Nature, it seems, is most unremittingly generous. 535 00:34:57,000 --> 00:35:00,880 But sometimes, it's not accommodation or sustenance that it provides, 536 00:35:00,880 --> 00:35:03,680 it provides something altogether different. 537 00:35:03,680 --> 00:35:05,480 Inspiration. 538 00:35:06,960 --> 00:35:12,200 Our next story takes us to a very frozen Heathrow Airport. 539 00:35:12,200 --> 00:35:15,400 - NEWSREADER: - The drop in temperature has led to grounded planes being 540 00:35:15,400 --> 00:35:17,840 frozen into their parking stands, 541 00:35:17,840 --> 00:35:20,920 with the de-icer having little effect. 542 00:35:20,920 --> 00:35:23,160 Despite one runway being clear, 543 00:35:23,160 --> 00:35:25,880 there have been less than 10% of flights at Heathrow 544 00:35:25,880 --> 00:35:30,040 over the weekend, leaving 350,000 passengers stranded. 545 00:35:31,440 --> 00:35:33,880 Ice on grounded planes might cause misery 546 00:35:33,880 --> 00:35:37,920 for passengers heading off to sunnier climes, 547 00:35:37,920 --> 00:35:40,320 but ice forming mid-flight can be deadly. 548 00:35:42,320 --> 00:35:46,120 It's caused over 600 aviation accidents 549 00:35:46,120 --> 00:35:50,440 and more than 800 deaths in the United States alone. 550 00:35:50,440 --> 00:35:54,640 The danger occurs when ice forms on the wing, distorting 551 00:35:54,640 --> 00:35:59,160 its precise aerodynamic shape and causing the aircraft to lose lift. 552 00:36:00,280 --> 00:36:05,080 It's something that has troubled aviation engineers for years. 553 00:36:05,080 --> 00:36:08,280 The problem is that ice comes in many different forms. 554 00:36:08,280 --> 00:36:14,760 You can imagine freezing rain, snow, sleet, freezing fog or frost. 555 00:36:18,640 --> 00:36:20,920 What we wanted to make 556 00:36:20,920 --> 00:36:22,680 is a paint 557 00:36:22,680 --> 00:36:25,360 or surface for the airplane 558 00:36:25,360 --> 00:36:28,400 that releases antifreeze when it's exposed to ice. 559 00:36:29,560 --> 00:36:32,800 The current solution to ice build-up is for planes to take 560 00:36:32,800 --> 00:36:35,280 a shower in antifreeze before flight. 561 00:36:36,960 --> 00:36:40,320 The wings also have a highly water-repellent surface. 562 00:36:42,600 --> 00:36:44,640 But there is a problem. 563 00:36:44,640 --> 00:36:50,320 When the wings get really cold, the non-stick surfaces simply don't work. 564 00:36:54,240 --> 00:36:58,720 Imagine this strip of cardboard is an aeroplane wing. 565 00:36:58,720 --> 00:37:03,520 And just like the wing, it's been treated with a hydrophobic coating 566 00:37:03,520 --> 00:37:05,440 so the water just runs off. 567 00:37:08,640 --> 00:37:11,040 But as the surface temperature drops - 568 00:37:11,040 --> 00:37:14,720 we've used liquid nitrogen for the same effect - 569 00:37:14,720 --> 00:37:18,760 the water droplets act very differently. 570 00:37:18,760 --> 00:37:21,160 They stick and clump together 571 00:37:21,160 --> 00:37:24,160 and the geometry of the wing is radically changed. 572 00:37:25,360 --> 00:37:28,480 And this will affect its ability to generate lift. 573 00:37:29,800 --> 00:37:32,600 So, what else can be done to prevent this build-up? 574 00:37:33,920 --> 00:37:35,760 This is where Konrad comes in. 575 00:37:39,320 --> 00:37:41,680 In the past 20 or 30 years, 576 00:37:41,680 --> 00:37:44,800 people started looking at nature, 577 00:37:44,800 --> 00:37:49,920 to try to find inspiration for current technological problems. 578 00:37:49,920 --> 00:37:54,960 And he found his inspiration in a very unexpected place. 579 00:37:54,960 --> 00:37:58,440 My wife and I were on holiday in Panama. 580 00:38:01,240 --> 00:38:04,360 And we went on a jungle tour. 581 00:38:04,360 --> 00:38:07,800 As we were going to the jungle, the guide lifted up 582 00:38:07,800 --> 00:38:12,320 a leaf on a palm tree and there was a little poison dart frog. 583 00:38:14,560 --> 00:38:17,120 So I was very excited, started coming up close 584 00:38:17,120 --> 00:38:20,280 and tried to take a picture and he said, "No, don't come up. 585 00:38:20,280 --> 00:38:23,080 "These things are really dangerous." 586 00:38:23,080 --> 00:38:27,080 So at that point, I was very interested. Why are they dangerous? 587 00:38:27,080 --> 00:38:31,440 The reason is that their skin is covered in a potent neurotoxin. 588 00:38:37,000 --> 00:38:40,440 But it wasn't the poison that Konrad was interested in. 589 00:38:40,440 --> 00:38:45,520 It was how the frogs release it that sparked his imagination. 590 00:38:45,520 --> 00:38:49,240 They have little glands in their skin and when they're very scared, 591 00:38:49,240 --> 00:38:52,040 when they see a predator or a tourist, 592 00:38:52,040 --> 00:38:55,760 they start releasing or secreting this toxin from the inner part 593 00:38:55,760 --> 00:38:59,120 of the body onto the outside of the skin. 594 00:38:59,120 --> 00:39:03,400 We made a surface that mimicked the structure of the frog, 595 00:39:03,400 --> 00:39:06,840 that releases, in this case, an antifreeze, instead of a toxin. 596 00:39:08,320 --> 00:39:11,920 Thanks to the amphibians, Konrad and his team are developing 597 00:39:11,920 --> 00:39:15,360 a porous surface that mimics the frog's skin 598 00:39:15,360 --> 00:39:18,160 and releases antifreeze on demand. 599 00:39:21,480 --> 00:39:27,960 Who'd have thought that deadly frogs might one day save lives? 600 00:39:27,960 --> 00:39:33,440 It just goes to prove inspiration can be found in the weirdest places. 601 00:39:37,600 --> 00:39:40,840 The natural world can be surprisingly charitable. 602 00:39:42,880 --> 00:39:46,600 Crows showing their appreciation with presents, 603 00:39:46,600 --> 00:39:52,360 a barren desert providing a nutrient lifeline to a bountiful jungle 604 00:39:52,360 --> 00:39:57,480 and, of course, a marine animal offering shelter to the homeless. 605 00:40:06,240 --> 00:40:09,280 And finally, our walk on the weird side is going to take us 606 00:40:09,280 --> 00:40:11,760 from strange lights in the sky, 607 00:40:11,760 --> 00:40:16,160 to blind people with perfectly good vision, 608 00:40:16,160 --> 00:40:19,200 via a drunken octopus in a toilet. 609 00:40:20,880 --> 00:40:23,080 And it all starts in Florida. 610 00:40:25,880 --> 00:40:27,800 911 - what's your emergency? 611 00:40:45,440 --> 00:40:49,560 Despite the caller's distress, she wasn't witnessing a UFO. 612 00:40:50,680 --> 00:40:54,840 What that caller was seeing was a sun halo. 613 00:40:54,840 --> 00:40:59,400 So, what's producing these extraordinary light shows? 614 00:41:00,880 --> 00:41:03,960 Well, it's actually something remarkably ordinary. 615 00:41:12,160 --> 00:41:15,720 The haloes are made by tiny ice crystals 616 00:41:15,720 --> 00:41:18,440 floating high up in the atmosphere, 617 00:41:18,440 --> 00:41:21,120 like this hexagonal crystal here. 618 00:41:22,160 --> 00:41:24,600 And when the sunlight passes through them, 619 00:41:24,600 --> 00:41:29,760 it refracts, or bends, to a very precise angle - 22 degrees - 620 00:41:29,760 --> 00:41:34,360 and it's this that produces these astonishing halos. 621 00:41:35,560 --> 00:41:40,520 It takes millions of these microscopic crystals 622 00:41:40,520 --> 00:41:43,560 randomly floating high in the cirrus clouds, 623 00:41:43,560 --> 00:41:45,680 each scattering the sun's rays 624 00:41:45,680 --> 00:41:48,600 and creating these perfect rings of light. 625 00:41:50,680 --> 00:41:52,680 But if you think that's strange, 626 00:41:52,680 --> 00:41:56,560 things are only going to get more bizarre. 627 00:41:59,080 --> 00:42:00,760 The Alps. 628 00:42:00,760 --> 00:42:04,240 Clear, cold, beautiful. 629 00:42:07,560 --> 00:42:12,600 For skiers making their way on to the slopes, 630 00:42:12,600 --> 00:42:16,480 their morning was about to take a turn for the weird. 631 00:42:20,120 --> 00:42:24,360 Because what was about to emerge from behind the peaks 632 00:42:24,360 --> 00:42:27,360 was far from a normal sunrise. 633 00:42:30,680 --> 00:42:34,280 It was a thrilling spectacle for all of those who witnessed it. 634 00:42:39,720 --> 00:42:41,840 This is no trick of the lens. 635 00:42:42,920 --> 00:42:46,720 Either side of the rising sun where two smaller 636 00:42:46,720 --> 00:42:50,360 but unmistakable mirror suns. 637 00:42:50,360 --> 00:42:53,400 And this isn't the only footage of such a spectacle. 638 00:42:54,760 --> 00:42:59,840 Strange sunrises and sunsets have been popping up all over the world. 639 00:43:06,360 --> 00:43:12,000 Now, the footage of these triple suns is absolutely startling stuff. 640 00:43:12,000 --> 00:43:13,360 But don't worry, 641 00:43:13,360 --> 00:43:16,320 our solar system is not morphing into a set from Star Wars. 642 00:43:16,320 --> 00:43:18,400 You might also be forgiven for thinking 643 00:43:18,400 --> 00:43:20,000 that it could be camera flare, 644 00:43:20,000 --> 00:43:23,280 cheap lenses or the like, but I can tell you that it's not. 645 00:43:26,840 --> 00:43:30,080 But whilst ice crystals are causing sun halos, 646 00:43:30,080 --> 00:43:32,440 what causes a triple sun... 647 00:43:33,880 --> 00:43:37,440 ..a spectacle inexplicably known as a sun dog? 648 00:43:39,600 --> 00:43:42,320 Now, to get to the bottom of its formation, 649 00:43:42,320 --> 00:43:45,640 we need someone who is well acquainted with the sky. 650 00:43:45,640 --> 00:43:47,920 Being a professional astronomer, 651 00:43:47,920 --> 00:43:50,400 you end up with is this ingrained habit, where you are just 652 00:43:50,400 --> 00:43:52,040 keeping that weather eye in the sky - 653 00:43:52,040 --> 00:43:55,120 is it going to be cloudy tonight? How you going to be observing? 654 00:43:55,120 --> 00:43:58,120 And just noticing many of these phenomena. 655 00:44:04,520 --> 00:44:08,640 A sun halo is formed from the same ice crystals as sun dogs, 656 00:44:08,640 --> 00:44:10,400 but the difference is the orientation. 657 00:44:10,400 --> 00:44:12,800 Sun halos, you need just random orientations 658 00:44:12,800 --> 00:44:15,400 and all kinds of hexagonal ice crystals. 659 00:44:15,400 --> 00:44:16,880 But to get sun dogs, 660 00:44:16,880 --> 00:44:19,640 you need those ice crystals to be the flat tile-like ones 661 00:44:19,640 --> 00:44:23,280 that are all perfectly aligned, perhaps by currents that are shaping 662 00:44:23,280 --> 00:44:27,800 the clouds or the way that they are just drifting down in the sky. 663 00:44:27,800 --> 00:44:31,360 Because it's all on a level, you get two little rainbow patches. 664 00:44:31,360 --> 00:44:35,480 The sunlight is focused into areas the same distance out 665 00:44:35,480 --> 00:44:38,960 as the halo, but on a level with the sun. 666 00:44:38,960 --> 00:44:42,120 And it's much brighter and the colours are much more evident 667 00:44:42,120 --> 00:44:44,440 because you've got much more sunlight 668 00:44:44,440 --> 00:44:46,080 concentrated into those areas. 669 00:44:50,080 --> 00:44:54,800 So, ice crystals are creating these spellbinding light shows, too. 670 00:44:56,240 --> 00:44:58,840 There is every chance you could have seen one... 671 00:45:00,920 --> 00:45:03,600 but never looked up to glimpse it. 672 00:45:03,600 --> 00:45:06,400 Just think of what you're missing. 673 00:45:10,880 --> 00:45:16,080 So, it's tiny ice crystals floating high up there in the atmosphere 674 00:45:16,080 --> 00:45:20,880 which produce these beautiful illusions of halos and triple suns. 675 00:45:20,880 --> 00:45:23,680 They really are very impressive. 676 00:45:23,680 --> 00:45:26,320 But, you know, when it comes to visual illusions, 677 00:45:26,320 --> 00:45:30,680 nothing at all can compete with the power of own minds. 678 00:45:34,200 --> 00:45:36,280 It's a slightly embarrassing story. 679 00:45:38,520 --> 00:45:41,720 It was in a bathroom stall in a public place. 680 00:45:46,600 --> 00:45:48,160 There was a little coat rack 681 00:45:48,160 --> 00:45:51,160 with the two little arms coming off of the coat rack. 682 00:45:51,160 --> 00:45:53,680 And underneath, it was written in magic marker, 683 00:45:53,680 --> 00:45:55,760 "drunk octopus wants to fight you." 684 00:45:59,840 --> 00:46:01,280 Once I looked up 685 00:46:01,280 --> 00:46:02,480 why I would recognise 686 00:46:02,480 --> 00:46:06,840 that that was an octopus and why that person expected that I would 687 00:46:06,840 --> 00:46:11,240 recognise it as an octopus is how I ended up interested in the topic. 688 00:46:12,240 --> 00:46:15,240 Laura is not alone in her octopus encounter. 689 00:46:16,360 --> 00:46:18,600 And it's not just coat hooks. 690 00:46:21,280 --> 00:46:24,000 We live our lives surrounded by expressions, 691 00:46:26,440 --> 00:46:29,720 although some faces do seem to turn up more than others. 692 00:46:34,320 --> 00:46:37,200 And in the most unexpected places. 693 00:46:37,200 --> 00:46:43,320 In 1994, the Virgin Mary materialised in a grilled cheese sandwich. 694 00:46:44,920 --> 00:46:48,960 The edible effigy was eventually sold by its maker, Diane Duyser, 695 00:46:48,960 --> 00:46:56,320 for a whopping £14,000. That's one very expensive snack. 696 00:46:58,760 --> 00:47:03,240 But to this religious revelation was by no means a one-off. 697 00:47:06,040 --> 00:47:09,400 Jesus has appeared in a baking tray, 698 00:47:09,400 --> 00:47:11,880 a tortilla, 699 00:47:11,880 --> 00:47:14,880 and even the lid of a Marmite jar. 700 00:47:19,960 --> 00:47:24,360 It's not just deities in foodstuffs. We see faces everywhere. 701 00:47:24,360 --> 00:47:29,160 Even everyday objects sometimes seem to have an expression. 702 00:47:29,160 --> 00:47:32,560 And this phenomenon, finding faces in objects and places, 703 00:47:32,560 --> 00:47:35,200 even has a name. It's called pareidolia. 704 00:47:36,240 --> 00:47:41,440 And it's an area of serious scientific investigation. 705 00:47:47,040 --> 00:47:51,080 You can probably see the faces in this series of objects. 706 00:47:54,320 --> 00:47:59,520 But of course, we don't actually believe they are genuine faces. 707 00:47:59,520 --> 00:48:02,760 That's because of a region of the brain called the fusiform gyrus. 708 00:48:04,040 --> 00:48:08,920 It's working slightly differently in each side of your brain. 709 00:48:08,920 --> 00:48:14,280 The left side is suggesting that this object could be a face. 710 00:48:14,280 --> 00:48:18,360 But the right side is making the final decision. 711 00:48:18,360 --> 00:48:22,280 And in this case, no. It's just a plug socket. 712 00:48:25,720 --> 00:48:30,560 So, why is our first instinct to see a collection of shapes as a face? 713 00:48:33,200 --> 00:48:35,680 The reason that we try to take something 714 00:48:35,680 --> 00:48:37,880 and make it into something meaningful has to do with 715 00:48:37,880 --> 00:48:41,760 survival in the very earliest stages of evolution. 716 00:48:41,760 --> 00:48:45,800 Let's assume that you are out in the woods hunting and you hear 717 00:48:45,800 --> 00:48:49,080 something or you see something out of the corner of your eye. 718 00:48:50,560 --> 00:48:53,960 If there is not something there and you assume that there is, 719 00:48:53,960 --> 00:48:56,000 you'll react to it, but there's no harm done, 720 00:48:56,000 --> 00:48:58,080 if there wasn't actually something there. 721 00:48:58,080 --> 00:49:01,160 So, conjuring up faces, real or otherwise, 722 00:49:01,160 --> 00:49:04,640 is about avoiding predators and staying alive. 723 00:49:06,560 --> 00:49:11,040 But that doesn't explain why we see so many messiahs. 724 00:49:11,040 --> 00:49:12,560 Our brain is always interpreting 725 00:49:12,560 --> 00:49:14,840 the information that we get from the world 726 00:49:14,840 --> 00:49:17,720 to be things that it recognises and can make sense of. 727 00:49:18,720 --> 00:49:20,880 The things that we're most familiar with 728 00:49:20,880 --> 00:49:25,840 or that we're expecting to see, like religion, like sex, 729 00:49:25,840 --> 00:49:29,480 will be the sort of things that we tend to notice more often. 730 00:49:33,040 --> 00:49:35,560 Well, that explains that cheesy conundrum. 731 00:49:35,560 --> 00:49:38,240 But exactly how long does it take us to develop 732 00:49:38,240 --> 00:49:41,920 this remarkable ability to recognise faces? 733 00:49:41,920 --> 00:49:43,640 A study at Stanford University 734 00:49:43,640 --> 00:49:45,960 produced some very surprising results. 735 00:49:48,080 --> 00:49:52,440 Babies. Cute? Well, sometimes. 736 00:49:52,440 --> 00:49:56,080 Clever? Well, perhaps not straightaway. 737 00:49:56,080 --> 00:50:00,400 You see, when it comes to making out the world around them, 738 00:50:00,400 --> 00:50:03,960 babies struggle to focus, identify colours, 739 00:50:03,960 --> 00:50:08,040 and even see beyond 30 centimetres during the first few months. 740 00:50:09,640 --> 00:50:13,680 So, all things considered, you might not expect these little brains 741 00:50:13,680 --> 00:50:17,200 to be very good when it comes to picking out a face. 742 00:50:20,400 --> 00:50:24,720 Faces are critical for all of us, but especially for babies. 743 00:50:28,040 --> 00:50:29,800 Faces are important 744 00:50:29,800 --> 00:50:32,080 for understanding emotion, 745 00:50:32,080 --> 00:50:35,040 being able to recognise different forms of expression, 746 00:50:35,040 --> 00:50:38,880 when your mom is happy, maybe when your mom is mad, comes from a face. 747 00:50:41,480 --> 00:50:44,880 Faraz's research has been looking into how soon 748 00:50:44,880 --> 00:50:46,720 babies can recognise a face. 749 00:50:48,200 --> 00:50:50,800 Using this harmless cap of sensors, 750 00:50:50,800 --> 00:50:54,520 she can monitor the electrical impulses in baby Ava's brain... 751 00:50:56,520 --> 00:51:00,120 to see how she responds to pictures of faces 752 00:51:00,120 --> 00:51:04,120 compared to inanimate objects. 753 00:51:04,120 --> 00:51:05,640 What do you see? 754 00:51:06,720 --> 00:51:08,680 What is that? 755 00:51:08,680 --> 00:51:11,400 The team compared the babies' responses 756 00:51:11,400 --> 00:51:15,000 to the same set of tests run on adults. 757 00:51:15,000 --> 00:51:19,760 We recognise faces through a process beginning with the basic 758 00:51:19,760 --> 00:51:24,200 contrast of the face, the lines of the face and we piece 759 00:51:24,200 --> 00:51:28,800 the information together, until we arrive at the temporal lobe. 760 00:51:28,800 --> 00:51:32,920 And the temporal lobe of the brain actually has specific cells 761 00:51:32,920 --> 00:51:34,880 that respond to faces. 762 00:51:36,240 --> 00:51:39,800 Given the immaturity of the babies' brains, the team weren't 763 00:51:39,800 --> 00:51:45,080 expecting them to be capable of complex adult-level processing. 764 00:51:45,080 --> 00:51:48,800 But their results proved very surprising. 765 00:51:48,800 --> 00:51:50,760 What we found was really interesting. 766 00:51:50,760 --> 00:51:55,080 Infants responded to faces the same way that adults respond to faces. 767 00:51:55,080 --> 00:51:56,760 The area of the brain that lit up 768 00:51:56,760 --> 00:51:59,880 when we show them the faces were very similar. 769 00:51:59,880 --> 00:52:03,920 It was in the temporal region of the brain that we know processes faces. 770 00:52:03,920 --> 00:52:07,160 So, if babies have a maturity beyond their years 771 00:52:07,160 --> 00:52:11,120 when it comes to facial recognition, has science got it wrong 772 00:52:11,120 --> 00:52:12,760 all this time? 773 00:52:12,760 --> 00:52:17,360 Are infants, in fact, very good at making out the world around them? 774 00:52:17,360 --> 00:52:19,960 Well, no. Unfortunately not. 775 00:52:19,960 --> 00:52:22,640 You see, when it comes to making out objects, 776 00:52:22,640 --> 00:52:25,240 babies still have an underdeveloped response. 777 00:52:25,240 --> 00:52:31,120 It's only the region responsible for making out faces which is advanced. 778 00:52:31,120 --> 00:52:35,240 Faces are such an important part of our lives that we have become 779 00:52:35,240 --> 00:52:37,720 tuned to seeing them in the world around us. 780 00:52:42,960 --> 00:52:44,680 Most of us have no trouble, at all, 781 00:52:44,680 --> 00:52:47,560 picking out a familiar face in the crowd. 782 00:52:47,560 --> 00:52:53,000 In fact, you could say that facial recognition is perhaps our one 783 00:52:53,000 --> 00:52:56,480 and only true human superpower. 784 00:52:56,480 --> 00:52:58,520 You see, during our lifetime, 785 00:52:58,520 --> 00:53:01,440 we have the staggering ability to remember 786 00:53:01,440 --> 00:53:05,160 no less than 10,000 different faces. 787 00:53:06,960 --> 00:53:10,400 It's remarkable, but it also begs the question, what happens 788 00:53:10,400 --> 00:53:15,800 when the facial recognition areas of our brain don't work properly? 789 00:53:15,800 --> 00:53:18,080 The answer can be found in Vermont. 790 00:53:19,160 --> 00:53:22,400 I just thought I was bad at remembering people. 791 00:53:22,400 --> 00:53:24,920 Sometimes, I can't tell who is in the picture. 792 00:53:24,920 --> 00:53:28,880 If there is just one of them, I have to ask Scott, "Which one is this?" 793 00:53:28,880 --> 00:53:32,680 If they're not wearing a piece of clothing that helps me 794 00:53:32,680 --> 00:53:34,040 or something else. 795 00:53:36,040 --> 00:53:37,480 Meet Karen Macaller. 796 00:53:39,400 --> 00:53:42,120 It's funny that we have so many pictures of them, 797 00:53:42,120 --> 00:53:43,720 since I can't tell them apart. 798 00:53:44,760 --> 00:53:48,600 She struggles to recognise her own children - 799 00:53:48,600 --> 00:53:51,440 Max and Emmy. 800 00:53:52,840 --> 00:53:56,840 Now, you might be thinking that Karen is short-sighted. 801 00:53:56,840 --> 00:53:59,040 When I am looking at sets of pictures, 802 00:53:59,040 --> 00:54:02,200 I can really be looking very carefully at everybody's nose 803 00:54:02,200 --> 00:54:04,440 and trying to find, like, the nose that's most like 804 00:54:04,440 --> 00:54:06,320 that person's nose. 805 00:54:06,320 --> 00:54:09,240 And I can see all the noses and I can see some are wider 806 00:54:09,240 --> 00:54:10,480 and all those things. 807 00:54:12,160 --> 00:54:17,120 Despite her keen observation, Karen isn't obsessed with noses. 808 00:54:17,120 --> 00:54:20,560 She is, in fact, face blind. 809 00:54:20,560 --> 00:54:23,240 So, it's not like there's a big blurry patch where your face is. 810 00:54:23,240 --> 00:54:24,720 I can see your face. 811 00:54:24,720 --> 00:54:28,600 I can see that you have a nose and eyebrows and all those things 812 00:54:28,600 --> 00:54:31,040 but then, if I look at another person, 813 00:54:31,040 --> 00:54:33,720 I can see they also have a nose and eyebrows 814 00:54:33,720 --> 00:54:37,280 but they don't all come together to mean something, 815 00:54:37,280 --> 00:54:38,800 to look like someone. 816 00:54:38,800 --> 00:54:41,400 Wondering what faces look like to Karen? 817 00:54:41,400 --> 00:54:44,960 Well, try identifying these two images. 818 00:54:44,960 --> 00:54:48,200 You can see the facial features of each, but it's not easy 819 00:54:48,200 --> 00:54:52,800 to piece them together, to actually recognise the faces. 820 00:54:54,000 --> 00:54:56,000 Until you turn them the right way up. 821 00:54:59,560 --> 00:55:03,080 Curiously, Karen only discovered that she was face blind 822 00:55:03,080 --> 00:55:04,920 relatively recently. 823 00:55:07,200 --> 00:55:12,120 I had not realised that other people perceive faces differently. 824 00:55:12,120 --> 00:55:14,200 It was maybe, like, three years ago. 825 00:55:14,200 --> 00:55:16,800 There was something on TV - they showed some examples of, 826 00:55:16,800 --> 00:55:20,880 like, "people who are face blind can't tell these two people apart." 827 00:55:20,880 --> 00:55:22,320 And I was looking at them 828 00:55:22,320 --> 00:55:25,640 and saying "that's the same person" and my husband, who is watching 829 00:55:25,640 --> 00:55:28,760 with me, was saying "No, that's not even close to being 830 00:55:28,760 --> 00:55:29,840 "the same person." 831 00:55:32,960 --> 00:55:36,680 It was an image like this one that highlighted Karen's condition. 832 00:55:38,480 --> 00:55:42,040 Most of us can see that, whilst the two images are similar, 833 00:55:42,040 --> 00:55:45,320 they are, of course, different people. 834 00:55:47,240 --> 00:55:49,000 For those with face blindness, 835 00:55:49,000 --> 00:55:53,200 it proves almost impossible to distinguish between the two. 836 00:55:56,920 --> 00:56:00,120 The condition is known medically as prosopagnosia, 837 00:56:00,120 --> 00:56:02,880 and a surprising number of people are affected. 838 00:56:04,880 --> 00:56:09,200 Although most, like Karen, never even know they have it. 839 00:56:10,280 --> 00:56:13,280 Often what happens is, they have an incident that really 840 00:56:13,280 --> 00:56:16,200 slaps them in the face, so to speak, showing them that 841 00:56:16,200 --> 00:56:20,040 their face recognition is really different from somebody else's. 842 00:56:22,880 --> 00:56:25,360 Prosopagnosics have told me things like they would, say, 843 00:56:25,360 --> 00:56:28,800 watch a movie where there's a line-up and the eyewitness is 844 00:56:28,800 --> 00:56:31,600 supposed to pick out the person who committed the crime. 845 00:56:31,600 --> 00:56:34,640 And the prosopagnosic says, "That's absurd. Nobody could do that. 846 00:56:34,640 --> 00:56:37,520 "You'd have to have superpowers to do that sort of thing." 847 00:56:39,840 --> 00:56:43,640 The best estimate out there suggest that maybe 2% of the population, 848 00:56:43,640 --> 00:56:47,720 so one out of 50 people, has really significant difficulties 849 00:56:47,720 --> 00:56:50,160 with face recognition. 850 00:56:50,160 --> 00:56:53,560 There are some people out there who, I'm sure, never realise 851 00:56:53,560 --> 00:56:57,200 that they have really significant face recognition problems. 852 00:56:58,560 --> 00:57:02,040 Just imagine a life where you couldn't instantly recognise 853 00:57:02,040 --> 00:57:04,360 actors in the latest blockbuster, 854 00:57:04,360 --> 00:57:07,560 your work colleagues or even members of your own family. 855 00:57:07,560 --> 00:57:11,720 And you didn't realise that life could be any different. 856 00:57:11,720 --> 00:57:13,960 It's one of those tectonic shifts in your brain, 857 00:57:13,960 --> 00:57:16,360 where you think, like, "I understand how I work 858 00:57:16,360 --> 00:57:18,280 "and I understand how the world works" 859 00:57:18,280 --> 00:57:20,400 and then you find out something new 860 00:57:20,400 --> 00:57:22,840 and it's very different than how you thought it was. 861 00:57:30,160 --> 00:57:33,560 From ice crystals with the power to create hysteria, 862 00:57:33,560 --> 00:57:37,600 survival by seeing faces in sandwiches... 863 00:57:37,600 --> 00:57:39,120 and not seeing faces at all, 864 00:57:41,720 --> 00:57:43,840 in a weird world, 865 00:57:43,840 --> 00:57:47,600 what seems an illusion can often be explained by cold, hard facts. 866 00:57:54,280 --> 00:57:58,480 What a world of weirdery we live in! And do you know? 867 00:57:58,480 --> 00:58:00,280 It's only going to get weirder. 868 00:58:02,400 --> 00:58:03,440 Next time... 869 00:58:05,000 --> 00:58:08,800 What caused a glacier to flow blood-red? 870 00:58:08,800 --> 00:58:11,520 I've never seen anything like it before. 871 00:58:11,520 --> 00:58:14,800 And why did frogs start growing too many limbs? 872 00:58:16,080 --> 00:58:19,160 What could possibly create this weird work of art? 873 00:58:20,840 --> 00:58:24,640 And what is lurking in this South American mud? 874 00:58:24,640 --> 00:58:27,320 If that didn't exist and as I said it could exist, 875 00:58:27,320 --> 00:58:29,320 you would never believe me, right? 74184

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