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These are the user uploaded subtitles that are being translated: 1 00:00:06,161 --> 00:00:10,521 One day ladies will be walking their computers in the park and saying 2 00:00:10,561 --> 00:00:14,961 'do you know, my iittie computer said a very funny thing to me this morning'. 3 00:00:24,361 --> 00:00:28,321 In 1952, the greatest mathematician of his time 4 00:00:28,361 --> 00:00:32,681 the man who gave birth to the computer age was in torment. 5 00:00:35,401 --> 00:00:37,441 He was a recently convicted criminal. 6 00:00:40,081 --> 00:00:42,761 In distress, he turned to a psychiatrist. 7 00:00:43,481 --> 00:00:46,121 So what did you say to the police? 8 00:00:46,601 --> 00:00:49,321 I told them I'd been having an affair with Arnold Murray 9 00:00:49,361 --> 00:00:52,281 and that he'd given my address to a young man 10 00:00:52,321 --> 00:00:54,841 who was known to burgle men he'd met for sex. 11 00:00:57,281 --> 00:00:59,281 This man was Alan Turing. 12 00:01:00,681 --> 00:01:04,881 Just a few years before, he'd helped to turn the course of World War Two 13 00:01:07,121 --> 00:01:10,121 by cracking Germany's secret military codes. 14 00:01:11,921 --> 00:01:16,001 Turing is one of the great original thinkers of the 20th century. 15 00:01:16,761 --> 00:01:19,601 He had thoughts that nobody else was having. 16 00:01:23,281 --> 00:01:26,721 Ten years earlier, he'd laid down the foundations for the computer. 17 00:01:28,641 --> 00:01:31,201 There's often a seed that everything came from. 18 00:01:32,841 --> 00:01:36,681 Alan Turing basically came up with everything that computers do today. 19 00:01:39,161 --> 00:01:43,361 During his lifetime, Turing's achievements went unrecognised. 20 00:01:43,401 --> 00:01:45,761 Instead he was disgraced. 21 00:01:46,441 --> 00:01:49,241 But I can't get it outside myself to do it. 22 00:01:49,281 --> 00:01:51,281 We all have decisions to make. 23 00:01:51,321 --> 00:01:52,521 What are you saying? 24 00:01:52,561 --> 00:01:54,641 I wish they'd leave me alone. 25 00:01:54,681 --> 00:01:57,801 This film tells the story of Alan Turing 26 00:01:58,241 --> 00:02:01,681 and how his ideas changed our world. 27 00:02:02,681 --> 00:02:04,641 You may have something there, doctor. 28 00:02:32,081 --> 00:02:36,601 The psychiatrist Alan Turing sought help from was Doctor Franz Greenbaum 29 00:02:36,641 --> 00:02:40,281 a German Jew who had fled to Britain just before World War Two. 30 00:02:41,881 --> 00:02:43,841 Presumably you'd like me to stop as well 31 00:02:43,881 --> 00:02:46,081 but I can tell you now, there's little point in trying. 32 00:02:46,761 --> 00:02:48,961 Like you to stop what? 33 00:02:49,521 --> 00:02:51,721 Pursuing... male... 34 00:02:51,761 --> 00:02:53,401 Male? 35 00:02:54,441 --> 00:02:55,961 Companionship. 36 00:02:56,721 --> 00:02:59,321 We're not here for me, you're here for you. 37 00:03:00,161 --> 00:03:03,641 It doesn't matter to me what you do as long as you're not in conflict over it. 38 00:03:05,401 --> 00:03:14,401 Our father Franz Greenbaum was treating Alan in the early 1950s. 39 00:03:15,441 --> 00:03:19,761 He turned up in the most extraordinary clothes when he came. 40 00:03:19,801 --> 00:03:22,801 He looked as though he'd been out of a rag bag. 41 00:03:25,281 --> 00:03:30,881 I don't think our Dad was in any way prejudiced... 42 00:03:31,521 --> 00:03:34,601 towards homosexuality. - Oh, I'm sure he wasn't. No. 43 00:03:34,641 --> 00:03:41,081 At that time, in England, that was considered quite way out. 44 00:03:43,361 --> 00:03:46,641 So, how do we do this? 45 00:03:47,721 --> 00:03:48,881 We talk. 46 00:03:49,401 --> 00:03:50,761 What do I have to say? 47 00:03:50,801 --> 00:03:52,681 You don't have to say anything. 48 00:03:53,161 --> 00:03:56,241 But you should feel free to say whatever you like. 49 00:03:56,521 --> 00:04:00,321 There are some things I can't say, things you can't know, about the war... 50 00:04:00,961 --> 00:04:02,841 Things you can't even think. 51 00:04:03,561 --> 00:04:07,121 There are some things about which I'm under an obligation 52 00:04:07,161 --> 00:04:11,721 a legal obligation, to remain discreet. 53 00:04:12,201 --> 00:04:14,721 Well, there may be things that you feel you can't discuss 54 00:04:15,641 --> 00:04:20,361 but direct conversation is not the only way that material gets conveyed. 55 00:04:21,561 --> 00:04:23,281 How else does material get conveyed? 56 00:04:24,281 --> 00:04:26,641 Through dreams, for instance. 57 00:04:27,361 --> 00:04:30,121 Well then, I certainly won't be telling you my dreams. 58 00:04:33,321 --> 00:04:40,001 I am his nephew. That means that my father, John, was Alan's older brother. 59 00:04:40,801 --> 00:04:44,361 John and Alan were sons of the Empire. 60 00:04:46,001 --> 00:04:49,961 Their father, my grandfather, was in the Indian civil service. 61 00:04:51,041 --> 00:04:55,721 When my father was four years old and my grandmother is pregnant with Alan 62 00:04:55,761 --> 00:05:02,521 they're sent back to England and are left with a foster family 63 00:05:02,561 --> 00:05:04,481 and they don't see their parents again 64 00:05:04,521 --> 00:05:07,561 until my grandfather has his next bout of long leave 65 00:05:07,601 --> 00:05:10,161 which is going to be in several years' time. 66 00:05:11,241 --> 00:05:17,521 I mean, I suspect that some of the eccentricities or perhaps being withdrawn 67 00:05:17,561 --> 00:05:24,561 or being able to disappear into his own world could be attributed to some of that. 68 00:05:48,721 --> 00:05:54,801 We're in the archive of Sherborne School and this is a photograph from 1926. 69 00:05:54,841 --> 00:06:00,801 Alan Turing, who was then 14, is on the far left on the bottom row 70 00:06:01,321 --> 00:06:04,921 looking at the camera very intently with great concentration. 71 00:06:04,961 --> 00:06:09,161 You almost wonder if he was thinking about the camera and how it operated. 72 00:06:11,681 --> 00:06:14,281 These are reports on his mathematics. 73 00:06:14,321 --> 00:06:16,721 'He has considerable powers of reasoning 74 00:06:16,761 --> 00:06:21,401 and should do well if he can quicken up a little and improve his style.' 75 00:06:22,841 --> 00:06:29,721 His teachers didn't recognise they had a tremendous mathematical genius in their midst. 76 00:06:32,641 --> 00:06:37,281 This is the log book of the Sherborne School library. 77 00:06:38,481 --> 00:06:42,641 We see that he checked out Alice In Wonder/and and Through the Looking-Glass 78 00:06:44,481 --> 00:06:47,441 on 11th of April 1930. 79 00:06:48,401 --> 00:06:50,361 Interestingly, there are three books he took out that day. 80 00:06:50,401 --> 00:06:54,161 Alice In Wonderland, Through the Looking-Glass and The Game of Logic. 81 00:06:57,961 --> 00:07:01,921 There's this wonderful picture that his mother drew 82 00:07:01,961 --> 00:07:05,241 called Hockey or Watching the Daisies grow. 83 00:07:05,881 --> 00:07:08,921 And there is Alan with his hockey stick 84 00:07:08,961 --> 00:07:12,681 ignoring the game, bending over and studying the daisies. 85 00:07:13,721 --> 00:07:18,241 I think he's a bit of a loner. I think there's evidence of that from early on. 86 00:07:20,241 --> 00:07:25,481 Turing was not someone who thrived in social situations with lots of other people. 87 00:07:27,761 --> 00:07:30,721 He was very athletic but his sport of choice was running 88 00:07:30,761 --> 00:07:33,441 which is of course a very solitary sport. 89 00:07:36,321 --> 00:07:40,081 He had one very great friend who was a boy named Christopher Morcom. 90 00:07:42,201 --> 00:07:46,881 Morcom was, I think, more important to Turing than any other human being in his life. 91 00:07:49,201 --> 00:07:54,361 Turing was probably, in an adolescent way, quite in love with him. 92 00:07:57,201 --> 00:08:00,481 I think, in a way, it was a kind of hero worship. 93 00:08:00,521 --> 00:08:04,681 I think he did idolise him. I think he worshipped him. 94 00:08:10,721 --> 00:08:13,041 There was someone I knew at school 95 00:08:13,841 --> 00:08:17,001 someone who didn't at all approve of dirty talk. 96 00:08:19,281 --> 00:08:22,281 Once or twice I tried to shock him but it didn't work out. 97 00:08:23,281 --> 00:08:25,641 What do you mean, it didn't work out? 98 00:08:26,361 --> 00:08:28,561 He didn't take the bait. 99 00:08:29,001 --> 00:08:31,961 He was just... above it. 100 00:08:35,201 --> 00:08:36,641 He made me want to be good. 101 00:08:38,001 --> 00:08:39,521 He was in a different house. 102 00:08:40,201 --> 00:08:43,081 And boys in different houses weren't meant to fraternise. 103 00:08:43,121 --> 00:08:48,281 So I could only see him on Wednesdays when we both happened to be in the library. 104 00:08:50,161 --> 00:08:53,321 He would make fun of me for my sloppy handwriting 105 00:08:54,481 --> 00:08:57,481 for mistakes I made... the careless errors. 106 00:08:59,481 --> 00:09:01,601 He made me want to improve my standards. 107 00:09:03,001 --> 00:09:04,841 He was an example. 108 00:09:05,441 --> 00:09:07,281 He was a friend. 109 00:09:08,161 --> 00:09:10,241 I didn't care about his example. 110 00:09:10,681 --> 00:09:12,601 What did you care about? 111 00:09:15,201 --> 00:09:17,681 I cared about what I was in his eyes. 112 00:09:18,481 --> 00:09:21,641 More so, in a sense, than what I was in my own. 113 00:09:30,881 --> 00:09:34,241 Morcom's influence on Turing was absolutely enormous. 114 00:09:34,961 --> 00:09:38,161 His importance was very, very profound and very deep 115 00:09:38,201 --> 00:09:40,441 both intellectually and emotionally. 116 00:09:41,561 --> 00:09:46,721 Christopher was a great scientist with tremendous gifts and tremendous curiosity 117 00:09:46,761 --> 00:09:48,921 curiosity to match Turing's. 118 00:09:51,121 --> 00:09:53,281 So they would often stargaze together. 119 00:09:53,321 --> 00:09:55,481 They were both very interested in astronomy. 120 00:09:58,121 --> 00:09:59,561 They were more than just pals. 121 00:09:59,601 --> 00:10:01,601 There was a great intimacy between them 122 00:10:01,641 --> 00:10:04,881 but a very innocent... it was entirely innocent of sexuality. 123 00:10:06,481 --> 00:10:08,961 I think if you find a person like that 124 00:10:09,001 --> 00:10:11,161 and I don't think everybody does find one 125 00:10:11,201 --> 00:10:13,521 in fact I think it's terribly rare 126 00:10:15,361 --> 00:10:17,521 then all you thought before 127 00:10:18,441 --> 00:10:23,001 all your plans for yourself, you realise they were just filling a gap. 128 00:10:24,761 --> 00:10:28,441 It was just something for you to do while you were waiting for this person 129 00:10:29,401 --> 00:10:35,441 and everything you want to be is something for him, not yourself. 130 00:10:39,841 --> 00:10:41,841 There is a drawback, however. 131 00:10:43,361 --> 00:10:48,241 Finding such a person makes everybody else appear so ordinary 132 00:10:49,761 --> 00:10:52,121 and if anything happens to him 133 00:10:53,921 --> 00:10:58,641 you've got nothing left but to return to the ordinary world 134 00:11:01,001 --> 00:11:03,961 and a kind of isolation that never existed before. 135 00:11:12,881 --> 00:11:16,361 At the beginning of December 1929 136 00:11:16,401 --> 00:11:22,721 Chris and Alan went together up to Cambridge for the scholarship examinations. 137 00:11:22,761 --> 00:11:29,241 And at that time, they were both hoping that they would succeed and obtain scholarships 138 00:11:29,281 --> 00:11:32,721 and go on to study together at Cambridge. 139 00:11:33,961 --> 00:11:36,641 It wasn't known, of course, it couldn't be known 140 00:11:36,681 --> 00:11:38,561 to Alan or to Chris 141 00:11:38,601 --> 00:11:43,321 that shortly afterwards, Alan was to lose his best friend. 142 00:11:45,841 --> 00:11:49,481 Chris died on the 13th of February 1930. 143 00:11:52,881 --> 00:11:55,801 One friend put it quite accurately 144 00:11:55,841 --> 00:11:59,561 when they said, 'poor old Turing was absolutely bowled over'. 145 00:12:02,481 --> 00:12:05,681 Chris had contracted tuberculosis as a child. 146 00:12:06,721 --> 00:12:10,041 He suffered from poor health all his life but he never complained. 147 00:12:10,081 --> 00:12:12,001 He was very private that way. 148 00:12:13,321 --> 00:12:15,281 When I heard he was dead 149 00:12:16,601 --> 00:12:20,081 the world threatened suddenly to be so different. 150 00:12:21,481 --> 00:12:25,761 I found ways of dragging him around with me to ease the transition. 151 00:12:27,321 --> 00:12:30,401 I wrote to his mother a number of times. 152 00:12:31,441 --> 00:12:34,321 I made no secret of the power of my feelings. 153 00:12:34,361 --> 00:12:37,961 I told her I absolutely worshipped the ground on which he walked 154 00:12:38,001 --> 00:12:41,681 and she, being his mother, found no reason to quibble with this. 155 00:12:44,161 --> 00:12:46,241 We shared in the loss of him. 156 00:12:48,521 --> 00:12:50,881 I asked her for a snapshot and she gave me one. 157 00:12:51,601 --> 00:12:53,081 I have it here. 158 00:12:56,321 --> 00:12:57,561 See? 159 00:13:04,361 --> 00:13:10,321 This is a letter from Alan to my grandmother, Chris's mother 160 00:13:11,001 --> 00:13:14,321 dated the 20th of February 1930. 161 00:13:14,921 --> 00:13:17,761 He said, 'During the last year I worked with him continually 162 00:13:17,801 --> 00:13:22,881 and I'm sure that I could not have found anywhere another companion so brilliant 163 00:13:22,921 --> 00:13:25,321 and yet so charming and unconceited. 164 00:13:25,881 --> 00:13:29,961 [Turing's voice] '/ regarded my interest in my Work as something to be shared With him 165 00:13:30,001 --> 00:13:32,801 and I think he felt a little the same about me. 166 00:13:34,121 --> 00:13:38,001 I know that I must put as much energy into my Work as if he were alive 167 00:13:38,041 --> 00:13:40,441 because that is what he would like me to do. 168 00:13:40,481 --> 00:13:43,481 Yours sincerely, Alan Turing.' 169 00:13:46,441 --> 00:13:49,121 My mother was very worried at the time 170 00:13:49,841 --> 00:13:53,441 because I insisted that Morcom was still with me 171 00:13:55,041 --> 00:13:57,521 working with me, helping me. 172 00:13:59,321 --> 00:14:01,401 He was my companion 173 00:14:01,841 --> 00:14:07,881 and in some ways he was an even steadier companion after his death. 174 00:14:09,121 --> 00:14:13,401 I didn't want to frighten anyone, but I knew he was still there. 175 00:14:18,841 --> 00:14:22,681 After Chris's death, Alan was determined to go to Cambridge 176 00:14:22,721 --> 00:14:27,721 and in fact Alan did end up with a scholarship to King's College. 177 00:14:29,121 --> 00:14:33,001 Turing felt that there was unfinished work 178 00:14:33,041 --> 00:14:36,721 which Chris had started and which he wanted to continue. 179 00:14:39,081 --> 00:14:42,961 It was while he was at Cambridge that he wrote what would prove to be 180 00:14:43,001 --> 00:14:45,401 I think, one of the... 181 00:14:46,321 --> 00:14:49,601 seminal papers in mathematics of the 20th century. 182 00:14:50,681 --> 00:14:53,601 I don't think anyone, Turing included 183 00:14:53,641 --> 00:14:58,921 was remotely aware of the significance that this paper was going to have. 184 00:15:02,561 --> 00:15:06,641 It introduces the idea of the computer. 185 00:15:17,641 --> 00:15:20,041 Well, in my mind, the reason Alan Turing is 186 00:15:20,081 --> 00:15:22,761 well, one of the greatest scientists of the 20th century 187 00:15:22,801 --> 00:15:23,881 is this paper. 188 00:15:24,681 --> 00:15:28,801 All our modern computers, from laptops to video games 189 00:15:28,841 --> 00:15:31,481 are exactly what he laid out in this paper. 190 00:15:42,641 --> 00:15:46,281 When Turing did his early work on computers 191 00:15:46,321 --> 00:15:49,361 the word 'computer' didn't mean a machine, as it does now. 192 00:15:49,401 --> 00:15:50,841 It meant a person. 193 00:15:50,881 --> 00:15:53,841 It meant a person who calculates, who computes. 194 00:15:56,081 --> 00:16:00,321 Hundreds and hundreds of young women with mechanical calculating machines in a room. 195 00:16:01,281 --> 00:16:05,441 And they would do little bits of calculation and write the answers down on cards 196 00:16:05,481 --> 00:16:08,201 and pass them along to the next person in line. 197 00:16:08,241 --> 00:16:14,761 And so Turing is clearly starting to think 'can we automate the whole thing?' 198 00:16:14,801 --> 00:16:17,121 And the answer he comes up with is 'yes!' 199 00:16:19,081 --> 00:16:22,641 He was working on a mathematics problem. 200 00:16:22,681 --> 00:16:27,041 Almost incidentally to a solution of that problem 201 00:16:27,081 --> 00:16:32,121 he did a construction that he called the universal machine. 202 00:16:35,761 --> 00:16:38,361 And what that construction did 203 00:16:38,401 --> 00:16:42,601 was just change the way people thought about computation 204 00:16:42,641 --> 00:16:45,321 in a very fundamental way. 205 00:16:51,121 --> 00:16:54,161 Turing's Universal Machine was purely hypothetical 206 00:16:54,201 --> 00:16:58,201 but it laid out the fundamental principle underpinning all computers - 207 00:16:59,041 --> 00:17:03,161 that any conceivable mathematical calculation can be done by a single device 208 00:17:03,201 --> 00:17:06,201 shuffling ones and zeros back and forth. 209 00:17:11,241 --> 00:17:15,601 This is a model of his theoretical machine from this maths problem. 210 00:17:16,281 --> 00:17:20,601 And the way this works is, he said, you'll have some kind of processing head 211 00:17:20,641 --> 00:17:23,441 which is basically what the machine actually is. 212 00:17:23,481 --> 00:17:25,961 It would be looking at a tape. 213 00:17:26,001 --> 00:17:28,921 And so we've got here a tape with symbols on it. 214 00:17:28,961 --> 00:17:31,841 And the machine would have instructions. 215 00:17:31,881 --> 00:17:35,281 So as it reads different symbols, it can move the tape forward 216 00:17:35,321 --> 00:17:36,721 it can wind it back. 217 00:17:37,561 --> 00:17:41,201 And it could generally process the information on the tape 218 00:17:47,321 --> 00:17:50,641 And part of Alan Turing's genius was to realise 219 00:17:50,681 --> 00:17:54,681 that a machine like this can compute absolutely anything 220 00:17:54,721 --> 00:17:57,481 because anything can be written as ones and zeros. 221 00:18:01,121 --> 00:18:04,521 And this is the basis of all computers. 222 00:18:12,961 --> 00:18:16,361 And the introduction of the universal machine 223 00:18:16,401 --> 00:18:22,081 made up of apparently absurdly simple components 224 00:18:22,121 --> 00:18:25,201 a strip of paper, a pencil 225 00:18:25,241 --> 00:18:28,201 a wheel to move the paper left and right 226 00:18:28,241 --> 00:18:30,961 a set of very simple instructions. 227 00:18:31,001 --> 00:18:38,201 These apparently trivial devices turn out to have the most profound implications. 228 00:18:49,001 --> 00:18:51,601 I've got here a generic smart phone. 229 00:18:51,641 --> 00:18:57,841 And if you crack this open, inside it in the centre here is the processor. 230 00:18:57,881 --> 00:19:03,881 So this chip here does exactly what Alan Turing described this machine doing. 231 00:19:03,921 --> 00:19:07,801 And on the back of this I have the memory, which is the tape. 232 00:19:07,841 --> 00:19:10,521 And again it's exactly what Alan Turing described. 233 00:19:12,441 --> 00:19:16,161 A single machine that can be programmed to do virtually anything. 234 00:19:16,681 --> 00:19:21,041 In the coming years, it would be seen as a moment of discovery, like Newton's apple. 235 00:19:23,001 --> 00:19:25,921 The digital age had begun. 236 00:19:31,641 --> 00:19:35,401 People credit Turing with the invention of the computer 237 00:19:35,441 --> 00:19:39,921 because he invented the concept on which everything else was built. 238 00:19:40,721 --> 00:19:42,481 [Archive footage narrator] 'In the electronics age 239 00:19:42,521 --> 00:19:46,921 the development of giant computers, electronic brains, has been a key development...' 240 00:19:48,001 --> 00:19:49,681 He writes something that is so original 241 00:19:49,721 --> 00:19:54,961 that you can't categorise it into any of the normal mathematical categories that are around. 242 00:19:55,001 --> 00:19:57,441 He started something genuinely new. 243 00:20:16,161 --> 00:20:18,441 When you look back at something like computers 244 00:20:18,481 --> 00:20:21,441 there's often a seed that everything came from. 245 00:20:21,841 --> 00:20:26,321 Alan Turing was sort of at the top of everything that ever developed 246 00:20:26,361 --> 00:20:29,481 all the future research that was done by people building real equipment 247 00:20:29,521 --> 00:20:32,321 that can clink, clink, clink - compute! 248 00:20:36,081 --> 00:20:39,881 One day ladies will be walking their computers in the park and saying 249 00:20:39,921 --> 00:20:44,241 'do you know, my little computer said a very funny thing to me this morning'. 250 00:20:46,761 --> 00:20:51,121 We have universal Turing machines in hardware in our homes 251 00:20:51,161 --> 00:20:55,321 and we use them for dozens and dozens of different tasks. 252 00:21:00,041 --> 00:21:04,361 Very few parts of our modern life aren't impacted by Turing's ideas. 253 00:21:05,521 --> 00:21:09,201 The things that he contributed to computer science 254 00:21:09,241 --> 00:21:12,201 weren't the things that just happened to be true in one particular year 255 00:21:12,241 --> 00:21:13,921 or in one particular decade. 256 00:21:13,961 --> 00:21:16,121 They're the things that are fundamentally true. 257 00:21:16,161 --> 00:21:17,801 So they're always goings to be with us 258 00:21:17,841 --> 00:21:22,321 in the same way that the things Galileo and Newton contributed to physics 259 00:21:22,361 --> 00:21:23,841 are always going to be with us. 260 00:21:32,841 --> 00:21:37,601 All our modern computing grew from this one idea of Alan Turing's. 261 00:21:37,641 --> 00:21:39,281 Incredible. 262 00:21:42,561 --> 00:21:44,961 But that would be the future. 263 00:21:45,001 --> 00:21:49,761 Back in 1939, Turing's brilliant visions were interrupted by the shock of war. 264 00:21:53,201 --> 00:21:56,121 In 1939, with the advent of the Second World War 265 00:21:56,161 --> 00:22:00,361 Turing was recruited to be part of a team 266 00:22:00,401 --> 00:22:04,441 who were involved in the effort to break German codes. 267 00:22:05,481 --> 00:22:09,841 The centre of operations for this code-breaking effort was Bletchley Park 268 00:22:09,881 --> 00:22:15,601 which was a country estate, equidistant from Cambridge and Oxford. 269 00:22:15,641 --> 00:22:18,321 And also very easily accessible from London. 270 00:22:22,121 --> 00:22:25,001 It was a completely secret effort. 271 00:22:26,001 --> 00:22:31,641 There's never been a place where secrets were better kept 272 00:22:31,681 --> 00:22:33,921 than they were kept at Bletchley. 273 00:22:37,081 --> 00:22:40,601 We were on our honour not to talk about this and we didn't. 274 00:22:40,641 --> 00:22:43,241 My parents never knew what I did until the day they died. 275 00:22:44,681 --> 00:22:48,561 It was an extremely eccentric bunch of people who were recruited. 276 00:22:48,601 --> 00:22:51,961 There were mathematicians. There was a British chess champion. 277 00:22:52,001 --> 00:22:56,281 There were people who had won contests to do crossword puzzles in a very, very fast time. 278 00:22:57,521 --> 00:23:03,201 Turing was, in some ways, the main architect of the code-breaking effort. 279 00:23:03,241 --> 00:23:06,441 You needed exceptional talent 280 00:23:06,481 --> 00:23:11,321 you needed genius at Bletchley, and Turing was the genius. 281 00:23:13,681 --> 00:23:19,001 I regarded him with a certain amount of awe because he was 'The Prof'. 282 00:23:19,921 --> 00:23:22,921 He was just regarded as very clever. 283 00:23:27,041 --> 00:23:31,801 The Germans were coding their messages using what was called an Enigma machine. 284 00:23:34,641 --> 00:23:39,441 What you have here is a German Enigma machine 285 00:23:39,481 --> 00:23:41,681 developed in World War II 286 00:23:41,721 --> 00:23:45,801 to encipher messages between parts of the German forces. 287 00:23:50,641 --> 00:23:52,521 The whole point about the Enigma machine 288 00:23:52,561 --> 00:23:56,481 is it could be configured in a large number of ways - 289 00:23:56,521 --> 00:23:59,921 15 million, million ways. 290 00:24:03,321 --> 00:24:06,081 The German operator set the machine up 291 00:24:07,001 --> 00:24:09,241 keyed the message in which scrambled it 292 00:24:10,681 --> 00:24:12,801 transmitted the scrambled text. 293 00:24:12,841 --> 00:24:17,801 The other intended recipient had a machine set to exactly the same settings 294 00:24:17,841 --> 00:24:21,961 and that descrambled the message and revealed the plain text. 295 00:24:24,721 --> 00:24:29,401 The Germans believed that this machine was completely unbreakable. 296 00:24:34,441 --> 00:24:38,881 Turing sat down with an Enigma machine, and he looked at it 297 00:24:38,921 --> 00:24:41,561 and he thought I can break that. 298 00:25:02,001 --> 00:25:03,681 I had a dream. 299 00:25:04,201 --> 00:25:05,761 Oh, good. 300 00:25:06,641 --> 00:25:08,361 I didn't write it down though. 301 00:25:09,121 --> 00:25:10,881 You should write them down. 302 00:25:13,321 --> 00:25:15,161 What did you dream about? 303 00:25:19,401 --> 00:25:21,721 I dreamt about Joan Clarke. 304 00:25:23,001 --> 00:25:26,481 We worked together. I can't say. 305 00:25:27,121 --> 00:25:28,841 Of course. 306 00:25:29,441 --> 00:25:31,361 But, we were... 307 00:25:32,841 --> 00:25:34,441 It was... 308 00:25:35,161 --> 00:25:37,321 There was a war on. 309 00:25:39,161 --> 00:25:42,001 I 'loved' her. 310 00:25:42,041 --> 00:25:45,681 Or rather - I didn't not love her. 311 00:25:48,281 --> 00:25:52,801 Joan Clarke was a rarity at Bletchley. 312 00:25:52,841 --> 00:26:04,201 She was a woman who did the same work and had the same status as male codebreakers 313 00:26:04,241 --> 00:26:06,641 but she was probably paid less. 314 00:26:06,681 --> 00:26:08,881 She was a mathematician. 315 00:26:08,921 --> 00:26:13,281 It was known that she and Turing had been close. 316 00:26:15,561 --> 00:26:17,721 Joan and I, we... 317 00:26:20,321 --> 00:26:21,681 we went to the pictures. 318 00:26:24,481 --> 00:26:27,121 One didn't have to speak differently to her. 319 00:26:27,721 --> 00:26:29,881 One could be amusing, have a laugh. 320 00:26:30,241 --> 00:26:31,641 One didn't have to pretend. 321 00:26:34,961 --> 00:26:37,521 Anyway, I thought that if she was so sporting 322 00:26:37,561 --> 00:26:40,241 one might just as easily imagine her as a wife. 323 00:26:41,121 --> 00:26:44,561 So I proposed marriage and she immediately said 'yes'. 324 00:26:44,601 --> 00:26:47,721 And just to be as sporting with her as she was with me 325 00:26:47,761 --> 00:26:50,401 I told her straight away that I fancied men. 326 00:26:50,961 --> 00:26:54,961 And... this didn't bother her a jot. 327 00:26:55,761 --> 00:26:58,521 At least she gave no outward sign. 328 00:27:00,521 --> 00:27:06,961 It was a surprise to me when he said, I think his words probably were 329 00:27:08,201 --> 00:27:11,041 'Would you consider marrying me?' 330 00:27:11,401 --> 00:27:18,161 He told me that he had this homosexual tendency 331 00:27:18,841 --> 00:27:24,721 and naturally that worried me a bit 332 00:27:24,761 --> 00:27:34,921 because I did know that was something that was almost certainly permanent 333 00:27:35,681 --> 00:27:37,241 but... 334 00:27:39,721 --> 00:27:41,161 we carried on. 335 00:27:43,481 --> 00:27:46,841 Turing was doing something that was fairly common at that time 336 00:27:46,881 --> 00:27:49,041 which was, he was going to make an effort. 337 00:27:49,081 --> 00:27:52,601 He was going to make a sort of stab at heterosexuality. 338 00:27:54,481 --> 00:27:59,401 What was interesting was that he never even reached the phase of marrying her. 339 00:27:59,441 --> 00:28:02,361 He realised very quickly that it was not going to work. 340 00:28:03,441 --> 00:28:06,641 Did you never tell her that you acted on your desires? 341 00:28:06,681 --> 00:28:07,841 No. 342 00:28:07,881 --> 00:28:16,041 Joan and I, we were interested in how mathematics expresses itself in nature. 343 00:28:18,241 --> 00:28:22,441 I thought our wonderful conversations would be enough for both of us. 344 00:28:25,041 --> 00:28:28,001 But a moment came 345 00:28:29,161 --> 00:28:33,281 when you realised you would never be able to be as honest with her 346 00:28:34,881 --> 00:28:36,641 as she was with you? 347 00:28:37,721 --> 00:28:39,121 Yes. 348 00:28:41,961 --> 00:28:44,521 So I called it off. 349 00:28:45,201 --> 00:28:47,161 I knew it would hurt her. 350 00:28:47,201 --> 00:28:51,241 But it would hurt her less than years of deceit? 351 00:28:51,841 --> 00:28:53,081 Yes. 352 00:28:57,521 --> 00:29:01,161 Turing was such, in some ways, such an honest person. 353 00:29:01,921 --> 00:29:06,841 Most would've married and either led a sort of secret life with other men 354 00:29:06,881 --> 00:29:10,441 or eventually divorced their wives. 355 00:29:12,041 --> 00:29:16,041 And what this suggests to me was a much higher degree of self-awareness 356 00:29:16,081 --> 00:29:19,361 than a lot of other men of his generation had. 357 00:29:22,161 --> 00:29:27,641 I learnt nothing about his homosexuality at Bletchley. 358 00:29:29,001 --> 00:29:32,481 Turing was a very eccentric person. 359 00:29:32,521 --> 00:29:39,641 He would wear a gas mask as he went into work on his bicycle 360 00:29:39,681 --> 00:29:42,521 because he suffered from hay fever. 361 00:29:43,681 --> 00:29:48,601 He often went into work with his pyjamas under his jacket. 362 00:29:50,441 --> 00:29:55,761 This is the most eccentric thing of all: he couldn't trust the banks. 363 00:29:55,801 --> 00:30:00,921 He therefore decided he would buy silver ingots. 364 00:30:01,401 --> 00:30:04,561 And he would plant them in the park. 365 00:30:05,161 --> 00:30:07,601 But he forgot where he had planted them. 366 00:30:07,641 --> 00:30:09,961 And they have never been found since. 367 00:30:11,681 --> 00:30:14,681 For Turing, wartime Bletchley was a paradise. 368 00:30:15,241 --> 00:30:17,521 It didn't matter if you were different. 369 00:30:17,561 --> 00:30:20,041 All that counted was outwitting the Germans. 370 00:30:26,601 --> 00:30:30,761 The greatest threat to Britain's survival was the war in the Atlantic. 371 00:30:31,921 --> 00:30:36,521 Convoys were being attacked by German naval U-boats. 372 00:30:42,161 --> 00:30:45,921 It mattered because we depended on sea transport 373 00:30:45,961 --> 00:30:51,481 to get an enormous amount of supplies into the United Kingdom for the war. 374 00:30:53,761 --> 00:30:58,201 Defeating of the U-boats was the most important task we had to perform 375 00:30:58,241 --> 00:31:01,241 and without it we wouldn't have been able to win the war at all. 376 00:31:04,441 --> 00:31:06,161 We knew how important it was 377 00:31:06,201 --> 00:31:09,681 and we knew also that when we were not breaking 378 00:31:09,721 --> 00:31:12,161 what the consequences were. 379 00:31:14,121 --> 00:31:21,321 We had somehow or other to break the U-boat codes. 380 00:31:27,721 --> 00:31:33,721 Turing considered that the major way of attacking Enigma cyphers was with cribs. 381 00:31:34,641 --> 00:31:37,521 That is known plain text, in modern speak. 382 00:31:37,561 --> 00:31:41,241 And this is where you could guess the German text 383 00:31:41,281 --> 00:31:44,161 which the operator had keyed into the machine 384 00:31:44,201 --> 00:31:48,281 in order to get the cypher text, which you have actually intercepted. 385 00:31:50,161 --> 00:31:54,161 A crib might be something so simple as a word that would often occur 386 00:31:54,201 --> 00:31:55,481 such as the word 'weather'. 387 00:31:55,521 --> 00:31:57,881 The Germans always reported to each other on the weather. 388 00:31:57,921 --> 00:32:02,121 So the word 'wetter' - W-E-T-T-E-R, became a very useful crib. 389 00:32:07,801 --> 00:32:09,521 Time was of the essence. 390 00:32:09,561 --> 00:32:12,521 And the conceptual breakthrough that Turing came up with 391 00:32:12,561 --> 00:32:17,601 was: well, if a machine is being used to code these messages 392 00:32:18,201 --> 00:32:21,801 we need to build a machine to break the code. 393 00:32:26,121 --> 00:32:30,161 The machine, designed by Turing and a colleague, Gordon Welchman 394 00:32:30,201 --> 00:32:32,121 was called The Bombe. 395 00:32:38,121 --> 00:32:40,521 There were over 200 of these machines 396 00:32:40,561 --> 00:32:43,521 working 24 hours a day, 7 days a week 397 00:32:43,561 --> 00:32:47,001 looking for the settings on the rotors of the Enigma machine. 398 00:32:50,961 --> 00:32:54,481 What the Bombe did was to explore the relationships 399 00:32:55,641 --> 00:32:58,761 between the cipher text and the crib 400 00:32:58,801 --> 00:33:02,481 looking for the Enigma configuration. 401 00:33:07,001 --> 00:33:12,041 It would've taken people with pencil and paper weeks to do that by hand. 402 00:33:12,081 --> 00:33:14,081 And the Bombe could do it in a few minutes. 403 00:33:15,521 --> 00:33:20,201 Within a couple of years they were able to read virtually all the Enigma traffic 404 00:33:20,241 --> 00:33:25,121 except for the traffic that was pertaining to the Navy. 405 00:33:31,441 --> 00:33:33,121 The reason it was so difficult to crack 406 00:33:33,161 --> 00:33:36,601 was because the Enigma machine used by the German Navy 407 00:33:36,641 --> 00:33:40,881 had even more permutations that it put the letters through. 408 00:33:42,801 --> 00:33:48,161 Nobody had actually managed to break the naval Enigma system 409 00:33:48,201 --> 00:33:51,761 and understand this extra level of complexity. 410 00:33:51,801 --> 00:33:54,841 And that was what Turing did. 411 00:34:04,961 --> 00:34:09,041 He realised that you could actually use mathematics. 412 00:34:09,081 --> 00:34:12,241 That if you applied maths to the codes and the ciphers 413 00:34:12,281 --> 00:34:15,721 then you could reduce the space that had to be searched. 414 00:34:16,241 --> 00:34:21,201 You could then use the Bombe to search those reduced spaces. 415 00:34:24,321 --> 00:34:27,801 He just took a large number of messages which were intercepted 416 00:34:27,841 --> 00:34:31,841 and he sat down and played around with these, pencil and paper 417 00:34:31,881 --> 00:34:33,561 and he worked it out. 418 00:34:40,681 --> 00:34:44,121 Suddenly, we could begin to break the messages 419 00:34:44,161 --> 00:34:47,841 from the German high command to U-boats in the North Atlantic 420 00:34:47,881 --> 00:34:49,961 and that was absolutely vital. 421 00:34:54,201 --> 00:34:57,161 We certainly couldn't have gone ahead with D-Day when we did 422 00:34:57,201 --> 00:34:59,601 if we hadn't cracked naval Enigma. 423 00:35:11,321 --> 00:35:17,161 This ability to crack the code and thereby read the German military traffic 424 00:35:17,201 --> 00:35:20,321 helped the allies strategically so much. 425 00:35:21,321 --> 00:35:25,241 Alan Turing's contribution cannot be overstated. 426 00:35:26,481 --> 00:35:32,641 I think that Turing's own personal contribution towards winning the war was crucial. 427 00:35:36,441 --> 00:35:38,481 At the end of the war 428 00:35:38,521 --> 00:35:41,521 we all left Bletchley without being allowed, as it were 429 00:35:41,561 --> 00:35:45,161 to say anything about what we'd been doing 430 00:35:45,201 --> 00:35:47,121 which I think was a very great mistake. 431 00:35:47,161 --> 00:35:48,881 I think we could've said more. 432 00:35:51,241 --> 00:35:56,881 Turing's contribution was virtually unknown during his lifetime. 433 00:35:56,921 --> 00:36:03,281 And in fact, it took quite a few years after his death before it eventually emerged. 434 00:36:04,561 --> 00:36:12,001 Somehow the step of recognising and acknowledging and thanking him was skipped. 435 00:36:12,841 --> 00:36:16,641 He was treated abysmally by his own government. 436 00:36:26,281 --> 00:36:29,881 By the time the war had ended, a new age had already begun. 437 00:36:29,921 --> 00:36:31,761 The computer age. 438 00:36:31,801 --> 00:36:34,761 And Alan Turing was at the heart of it. 439 00:36:35,681 --> 00:36:39,841 In 1945, he designed one of the world 's first computers. 440 00:36:41,001 --> 00:36:46,641 The theoretical ideas he'd laid out in his 1936 paper had become reality. 441 00:36:48,681 --> 00:36:50,521 [Archive footage narrator] 'Manchester University 442 00:36:50,561 --> 00:36:52,681 where anyone who urgently wishes to know 443 00:36:52,721 --> 00:36:57,161 Whether 2 to power of 127 minus 1 is a prime number or not 444 00:36:57,201 --> 00:37:01,281 can be given the answer by an electronic brain in 25 minutes 445 00:37:01,321 --> 00:37:04,121 instead of by a human brain in 6 months...' 446 00:37:04,361 --> 00:37:08,881 in 1948, Turing joined the mathematics department at Manchester University 447 00:37:09,361 --> 00:37:11,641 to work in a new computer lab. 448 00:37:14,001 --> 00:37:17,241 Computers had only just been invented. 449 00:37:17,281 --> 00:37:23,441 The prototype computer was built here in Manchester 450 00:37:23,481 --> 00:37:27,881 and it ran its first program in June 1948. 451 00:37:29,041 --> 00:37:34,881 It was early years in the era of using computers. 452 00:37:34,921 --> 00:37:37,561 [Archive footage narrator] 'The brain at present is only in the experimental stage. 453 00:37:37,601 --> 00:37:40,521 The answer being read from a cathode ray tube.' 454 00:37:41,041 --> 00:37:43,401 Though by our standards these computers are primitive 455 00:37:44,281 --> 00:37:47,761 they sparked an extraordinary idea in Turing's mind. 456 00:37:48,601 --> 00:37:53,681 After a while, he started to wonder, could a computer ever be truly intelligent? 457 00:37:53,721 --> 00:37:58,201 Can machines really think? Even the scientists argue that one. 458 00:38:00,641 --> 00:38:04,201 He's obviously realised the potential power of these machines. 459 00:38:04,241 --> 00:38:10,441 He can see where they're going and he's tackling a basic philosophical question. 460 00:38:11,681 --> 00:38:13,761 Can a machine think? 461 00:38:15,561 --> 00:38:17,641 Why can't something of a person remain alive? 462 00:38:21,121 --> 00:38:22,241 I'm not mad. 463 00:38:22,281 --> 00:38:27,041 I don't believe an individual consciousness could be transplanted into a machine now 464 00:38:27,081 --> 00:38:29,361 though given a few years, who knows? 465 00:38:29,401 --> 00:38:31,401 But for now I only ask 466 00:38:31,441 --> 00:38:37,281 can we not house something like a human consciousness inside an inorganic vessel 467 00:38:37,801 --> 00:38:42,321 something permanent, so it will remain and learn 468 00:38:42,361 --> 00:38:47,401 and achieve something like wisdom, a wisdom to which you and I can refer? 469 00:38:48,641 --> 00:38:50,961 Would it ease your grief over Christopher Morcom? 470 00:38:52,441 --> 00:38:55,041 The creation of this machine of yours. 471 00:38:56,521 --> 00:39:01,481 No, no, yes, but not in the way you think. 472 00:39:01,521 --> 00:39:06,961 Not because I myself could vindicate Chris's mortality by creating another intelligence. 473 00:39:07,001 --> 00:39:10,601 It wouldn't be Chris after all, so how could it possibly provide any relief? 474 00:39:10,641 --> 00:39:11,721 No. 475 00:39:11,761 --> 00:39:17,081 But because it would show Chris his living hadn't been in vain. 476 00:39:18,481 --> 00:39:20,961 That he would have inspired me to create something 477 00:39:21,001 --> 00:39:23,881 an intelligence, not his, but in his name. 478 00:39:24,961 --> 00:39:27,161 Something that would never die. 479 00:39:28,761 --> 00:39:30,121 There's no question but that Alan Turing 480 00:39:30,161 --> 00:39:33,161 was the real father of AI 481 00:39:33,201 --> 00:39:34,681 of Artificial Intelligence. 482 00:39:34,721 --> 00:39:39,481 He was already making the argument that there could be such a thing as a thinking machine 483 00:39:39,521 --> 00:39:41,721 an intelligent machine. 484 00:39:47,081 --> 00:39:52,401 Towards the end of 1950, Alan Turing published a remarkable essay. 485 00:39:52,441 --> 00:39:58,041 And in this essay, Alan Turing argued that it was possible 486 00:39:58,081 --> 00:40:05,081 to work out whether machines possess intelligence. 487 00:40:06,681 --> 00:40:14,161 Turing's basic idea is that if you're trying to decide whether something is intelligent 488 00:40:14,201 --> 00:40:21,081 it doesn't matter what's going on inside, all that matters is the output. 489 00:40:23,761 --> 00:40:28,961 His idea was that computers, if they can pretend to be intelligent 490 00:40:29,001 --> 00:40:31,481 then we may as well consider them intelligent. 491 00:40:31,521 --> 00:40:35,001 He realises there's a whole world of philosophical debates and arguments 492 00:40:35,041 --> 00:40:36,961 about what is and isn't consciousness. 493 00:40:38,201 --> 00:40:39,401 Frankly, he said 494 00:40:39,441 --> 00:40:45,081 if computer can convince you it's acting intelligently, who's to say it's not? 495 00:40:46,521 --> 00:40:51,121 Turing proposed something he called the Imitation Game. 496 00:40:52,201 --> 00:40:58,681 He imagines a machine and a human and a judge. 497 00:40:59,161 --> 00:41:04,521 If a machine can convince the judge that it's a human 498 00:41:04,561 --> 00:41:08,121 the machine should be judged to be intelligent. 499 00:41:09,081 --> 00:41:11,521 That's the Turing Test. 500 00:41:12,601 --> 00:41:16,041 Turing is one of the great original thinkers of the 20th century. 501 00:41:17,361 --> 00:41:19,921 He seemed to be able to see further. 502 00:41:20,401 --> 00:41:25,001 You get a feeling when you read his work that his mind is way out in front. 503 00:41:26,921 --> 00:41:32,201 Until now Turing's work had been secret, or comprehensible only to mathematicians. 504 00:41:33,361 --> 00:41:37,601 But his ideas on artificial intelligence caught the public imagination. 505 00:41:37,921 --> 00:41:40,401 He was now being quoted in the national press. 506 00:41:42,441 --> 00:41:45,001 [Turing's voice] ' This is only a fore taste of what is to come 507 00:41:45,041 --> 00:41:47,321 and only the shadow of what is to be 508 00:41:47,361 --> 00:41:50,521 but I do not see why it should not enter any one of the fields 509 00:41:50,561 --> 00:41:53,081 normally covered by the human intellect 510 00:41:53,121 --> 00:41:55,521 and eventually compete on equal terms. 511 00:41:55,561 --> 00:41:58,361 I do not think you can even draw the line at sonnets 512 00:41:58,401 --> 00:42:00,881 though the comparison is perhaps a little bit unfair 513 00:42:00,921 --> 00:42:06,761 because a sonnet written by a machine would be better appreciated by another machine. 514 00:42:09,001 --> 00:42:13,761 Turing was attempting to demystify the idea 515 00:42:13,801 --> 00:42:19,041 that human beings have a sort of exclusive ability to experience emotion 516 00:42:19,081 --> 00:42:21,641 to experience pleasure, to experience pain. 517 00:42:22,601 --> 00:42:24,321 Very, very controversial thing to say 518 00:42:24,361 --> 00:42:30,921 because it was in effect taking mankind off the pedestal that mankind had put itself on. 519 00:42:34,161 --> 00:42:40,721 The idea that robots and computers challenge us with 520 00:42:40,761 --> 00:42:44,681 is their ability to imitate what we do 521 00:42:44,721 --> 00:42:49,161 and therefore it becomes more and more difficult to tell the difference. 522 00:42:53,241 --> 00:42:58,881 What Turing's argument did was to give computer designers ambition 523 00:42:58,921 --> 00:43:05,201 and everyone else a sense of the scope and scale of what might well happen. 524 00:43:05,241 --> 00:43:11,121 Because, what he understood from his wartime work and his work in the later 1940s 525 00:43:11,161 --> 00:43:16,681 was that it would be possible to make systems of machines of unimaginable scale. 526 00:43:19,441 --> 00:43:22,521 They would develop, they would have experience 527 00:43:22,561 --> 00:43:26,881 they would have careers and in a very interesting way they would have lives. 528 00:43:29,841 --> 00:43:37,521 And that mixture of ambition and clarity, I think, is one of Turing's greatest legacies to modernity. 529 00:43:42,761 --> 00:43:47,041 Turing's ideas on artificial intelligence established him as a visionary scientist 530 00:43:47,641 --> 00:43:50,081 but there was more to his life. 531 00:43:57,481 --> 00:44:03,881 By the 1950s, Alan was in one sense an ivory tower intellectual 532 00:44:03,921 --> 00:44:08,881 but in another sense he, you know, he lived, occasionally at least, on the streets. 533 00:44:14,161 --> 00:44:19,081 In many parts of Manchester, there were cruising areas for gay men 534 00:44:19,121 --> 00:44:23,481 where people could meet other men from all classes and situations. 535 00:44:28,881 --> 00:44:34,361 For someone like Alan, entering the gay scene, the queer world 536 00:44:34,401 --> 00:44:37,641 must have been intensely thrilling. 537 00:44:42,961 --> 00:44:46,961 Surrounding all this of course was the threat of the law 538 00:44:47,001 --> 00:44:51,041 because male homosexuality was totally illegal 539 00:44:51,081 --> 00:44:53,361 whether in public or in private. 540 00:44:56,121 --> 00:45:01,641 Turing, at a certain point in Manchester, met a young man named Arnold Murray. 541 00:45:01,681 --> 00:45:07,401 Meeting Murray started this chain of misfortunes that eventually led to his arrest. 542 00:45:15,241 --> 00:45:17,081 So what happened? 543 00:45:19,241 --> 00:45:24,521 I met a young man - Arnold Murray - in Manchester. On the Oxford Road. 544 00:45:26,321 --> 00:45:28,961 He looked hungry, so I bought him a meal. 545 00:45:29,961 --> 00:45:35,121 I gave him my address and later he came to my home to see me. 546 00:45:35,161 --> 00:45:37,201 He spent the night. 547 00:45:37,801 --> 00:45:39,281 He was 19. 548 00:45:42,361 --> 00:45:46,601 He didn't have a privileged upbringing but he has aspirations. 549 00:45:50,321 --> 00:45:53,001 I know in a sense he brought me down 550 00:45:55,121 --> 00:45:57,721 but I feel sorry because I brought him down as well. 551 00:46:01,761 --> 00:46:06,321 I think Turing, like many other men of his generation 552 00:46:06,361 --> 00:46:08,241 would've felt they were living on the edge. 553 00:46:08,281 --> 00:46:09,881 Not all the time 554 00:46:09,921 --> 00:46:17,001 but were aware that one step into the wrong direction could push them over the edge. 555 00:46:20,201 --> 00:46:22,641 He would've been aware of the risk. 556 00:46:22,681 --> 00:46:26,681 Perhaps he wasn't entirely surprised when disaster struck. 557 00:46:28,841 --> 00:46:31,161 I think he stole from me. 558 00:46:31,201 --> 00:46:34,321 A few pounds, but I couldn't be certain. 559 00:46:35,201 --> 00:46:39,481 I accused him. He became angry. I weakened. 560 00:46:39,521 --> 00:46:41,561 He spent the night again. 561 00:46:41,601 --> 00:46:44,681 This theme repeated itself throughout our acquaintance. 562 00:46:45,161 --> 00:46:48,961 And then one day I came home and found I'd been burgled. 563 00:46:53,041 --> 00:46:56,761 Alan invites this young man into his home. 564 00:46:56,801 --> 00:47:02,721 And the result of this encounter or series of encounters 565 00:47:02,761 --> 00:47:06,841 is that my grandfather's pocket watch 566 00:47:06,881 --> 00:47:13,841 which was given to Alan as a very special gift, was stolen. 567 00:47:14,641 --> 00:47:17,321 So I confronted Arnold. 568 00:47:18,521 --> 00:47:22,761 I believed him when he said he'd had nothing to do with it himself. 569 00:47:22,801 --> 00:47:25,961 He'd been chatting to a friend of his 570 00:47:26,001 --> 00:47:27,641 Harry, who was a proper renter 571 00:47:27,681 --> 00:47:32,001 not like Arnold, who appreciated favours 572 00:47:32,041 --> 00:47:37,241 but would absolutely accept no cash unless it was dressed up as a loan. 573 00:47:38,601 --> 00:47:44,241 Anyway, this Harry, he'd seen a letter Arnold was posting to me. 574 00:47:44,281 --> 00:47:45,921 He'd seen my address. 575 00:47:45,961 --> 00:47:48,241 Arnold talked to him about me, 576 00:47:48,281 --> 00:47:51,641 told him that I worked on the electronic brain. 577 00:47:52,281 --> 00:47:57,121 And this must have suggested privilege. 578 00:47:59,601 --> 00:48:04,281 So Harry concocted this burglary in Arnold's company 579 00:48:04,321 --> 00:48:07,881 but Arnold did nothing to warn me about it. 580 00:48:08,881 --> 00:48:11,761 In his defence, when I confronted him, he spilled everything. 581 00:48:19,681 --> 00:48:22,121 Turing was such an honest person 582 00:48:22,161 --> 00:48:24,961 and he was so much the opposite of calculating 583 00:48:25,001 --> 00:48:27,761 he was not Machiavellian in the least. 584 00:48:28,601 --> 00:48:29,961 He'd been robbed. 585 00:48:30,001 --> 00:48:32,321 When you're robbed you go to the police. 586 00:48:32,361 --> 00:48:34,881 He was naive, in a lot of ways. 587 00:48:35,401 --> 00:48:40,161 He had faith that the system would protect him 588 00:48:41,281 --> 00:48:45,001 and that turned out to be a disastrous misstep on his part. 589 00:48:46,481 --> 00:48:49,681 And of course the police then discover that they'd hit the jackpot. 590 00:48:49,721 --> 00:48:52,601 They'd discovered that he had a young man in his house 591 00:48:52,641 --> 00:48:55,641 and there couldn't be any sensible reason for him being there 592 00:48:55,681 --> 00:48:58,881 other than something which was criminal, disgusting 593 00:48:58,921 --> 00:49:02,881 and, you know, possibly a security risk. 594 00:49:07,841 --> 00:49:10,801 The police didn't care about the robbery. 595 00:49:12,001 --> 00:49:17,601 The police were much more interested in arresting a professor 596 00:49:17,641 --> 00:49:20,201 on charges of gross indecency. 597 00:49:24,681 --> 00:49:27,721 So what did you say to the police? 598 00:49:29,241 --> 00:49:31,321 I told them everything. 599 00:49:31,841 --> 00:49:34,721 I told them I'd been having an affair with Arnold Murray 600 00:49:34,761 --> 00:49:37,481 and that he'd given my address to a young man 601 00:49:37,521 --> 00:49:40,361 who was known to burgle men he'd met for sex. 602 00:49:40,721 --> 00:49:43,721 And you told the police that you had sex with Murray? 603 00:49:44,081 --> 00:49:46,481 They asked me what we got up to. 604 00:49:46,521 --> 00:49:52,441 I told them we engaged in mutual masturbation, soixante-neuf, and inter-genital friction. 605 00:49:53,121 --> 00:49:54,841 Soixante-neuf? 606 00:49:55,361 --> 00:49:57,041 Sixty nine. 607 00:49:57,081 --> 00:49:59,281 Yes I know what it means. 608 00:49:59,841 --> 00:50:02,641 I was just wondering, why you would say that to the police? 609 00:50:03,201 --> 00:50:05,481 I told you. I revealed everything. 610 00:50:05,841 --> 00:50:07,561 I was wondering 611 00:50:08,441 --> 00:50:12,721 if you cloaked it in elitist language to keep the police in their place. 612 00:50:13,121 --> 00:50:16,241 They're unlikely to speak French, aren't they, the police. 613 00:50:17,641 --> 00:50:23,761 To say that they may be the foot soldiers that are out there to enforce the law 614 00:50:23,801 --> 00:50:27,841 but you, who speak French, are amongst the lawmakers 615 00:50:27,881 --> 00:50:34,801 the politicians, the inventors, the forgers of new paths. 616 00:50:34,841 --> 00:50:39,801 I wanted my watch back, my father's watch. 617 00:50:40,481 --> 00:50:42,321 I wanted them to do their job. 618 00:50:43,841 --> 00:50:46,361 But as soon as they knew you were a sodomite 619 00:50:46,401 --> 00:50:49,281 you gave up your right to command them. 620 00:50:51,161 --> 00:50:52,561 You became their prey. 621 00:50:52,601 --> 00:50:54,961 I didn't go down for sodomy. 622 00:50:55,001 --> 00:50:58,681 I'm sorry, I thought you practised sodomy with Murray? 623 00:50:58,721 --> 00:51:03,001 For God's sake, would you stop saying 'practised sodomy' as if it were the bloody piano. 624 00:51:03,041 --> 00:51:04,441 And the charge was not buggery 625 00:51:04,481 --> 00:51:09,641 it was 'Gross indecency contrary to Section 11 of the Criminal Law Amendment Act of 1885'. 626 00:51:09,681 --> 00:51:12,401 It was the same law that convicted Oscar Wilde. 627 00:51:14,121 --> 00:51:16,681 It's good to know things are moving forwards. 628 00:51:17,161 --> 00:51:18,601 You're right, by the way. 629 00:51:19,241 --> 00:51:23,121 As soon as they learned I was a homosexual the burglary more or less vanished. 630 00:51:25,401 --> 00:51:27,561 One of them actually said to me 631 00:51:27,601 --> 00:51:33,321 'if you consort with naughty people, naughty things are bound to happen'. 632 00:51:33,361 --> 00:51:35,281 As if by having sex with another man 633 00:51:35,321 --> 00:51:39,441 it was fit and proper that burglary should follow close on its heels. 634 00:51:49,561 --> 00:51:51,441 [Turing's voice] Dear Norman 635 00:51:51,481 --> 00:51:53,721 I've now got myself into the kind of trouble 636 00:51:53,761 --> 00:51:56,921 that I have always considered to be quite a possibility for me 637 00:51:56,961 --> 00:52:00,401 though I have usually rated it at about 10 to 1 against. 638 00:52:00,881 --> 00:52:05,241 I shall shortly be pleading guilty to a charge of sexual offenses with a young man. 639 00:52:05,841 --> 00:52:10,201 The story of how it all came to be found out is a long and fascinating one. 640 00:52:10,681 --> 00:52:13,321 No doubt I shall emerge from it all a different man 641 00:52:14,121 --> 00:52:16,721 but quite who I've not found out. 642 00:52:17,681 --> 00:52:21,481 Yours in distress, Alan.' 643 00:52:25,721 --> 00:52:31,281 In March 1952, Alan Turing was convicted of Gross indecency. 644 00:52:31,321 --> 00:52:35,041 He'd become well enough known for it to be a public disgrace. 645 00:52:39,921 --> 00:52:44,601 What the court ordered was effectively to have Turing chemically castrated. 646 00:52:44,641 --> 00:52:50,481 That was to effectively remove his body of the male hormone testosterone. 647 00:52:54,201 --> 00:52:59,521 He's given a choice. He could go to jail or he could agree to this treatment. 648 00:52:59,561 --> 00:53:05,401 He chose the so-called organo therapy which amounted to chemical castration. 649 00:53:08,881 --> 00:53:13,521 Turing was probably given a drug that we now know as stilboestrol. 650 00:53:15,001 --> 00:53:19,921 That is a synthetic version of the female sex hormone, oestrogen. 651 00:53:21,561 --> 00:53:23,961 He had to attend the Manchester Royal Infirmary 652 00:53:24,001 --> 00:53:26,721 on a monthly basis for the first 9 months. 653 00:53:28,521 --> 00:53:31,161 He had to take daily tablets 654 00:53:31,201 --> 00:53:35,681 and then for the final 3 months an implant was put into his thigh. 655 00:53:37,641 --> 00:53:39,761 'Chemical castration' they call it. 656 00:53:39,801 --> 00:53:41,321 Very civilised. 657 00:53:42,801 --> 00:53:47,241 I take it every day and once a month I get tested at the hospital 658 00:53:47,281 --> 00:53:50,961 to make sure I don't have any of that naughty testosterone in my blood. 659 00:53:53,641 --> 00:53:56,361 It's meant to cure me of my desires. 660 00:53:59,681 --> 00:54:02,801 The kinds of the things that Alan Turing would have experienced 661 00:54:02,841 --> 00:54:06,721 would have been an immediate change in his libido 662 00:54:06,761 --> 00:54:10,081 his inability to get an erection. He would have become impotent. 663 00:54:10,121 --> 00:54:12,721 His testicles would have shrunken in size. 664 00:54:12,761 --> 00:54:14,721 He would've stopped shaving. 665 00:54:14,761 --> 00:54:17,161 Over time, he would've grown breasts. 666 00:54:17,201 --> 00:54:22,641 And that would have been the distinctive signature of somebody who was chemically castrated. 667 00:54:27,121 --> 00:54:30,441 He was told the effects of the treatment were reversible 668 00:54:30,481 --> 00:54:34,401 and no doubt that was part of the reason he agreed to it. 669 00:54:38,681 --> 00:54:41,921 The arrest was, I think, a turning point in his life 670 00:54:41,961 --> 00:54:45,721 because it was at that moment that for the first time 671 00:54:45,761 --> 00:54:52,361 he understood how untrustworthy British society was 672 00:54:52,401 --> 00:54:55,641 and the he was very, very expendable. 673 00:54:59,241 --> 00:55:03,721 I think it was a demoralising experience and embittering experience for him. 674 00:55:03,761 --> 00:55:06,081 And he was never the same afterwards. 675 00:55:08,921 --> 00:55:17,881 I mean what's going on, partly, in the insupportable tragedy of Turing's fate 676 00:55:17,921 --> 00:55:23,881 is what happens when deeply institutionalised English intellectuals 677 00:55:23,921 --> 00:55:27,161 encounter what life's like outside the walls. 678 00:55:28,201 --> 00:55:34,081 They forget and cannot imagine how evil and vicious life can be. 679 00:55:43,601 --> 00:55:45,721 Spring, 1953. 680 00:55:45,761 --> 00:55:49,721 Alan Turing had been visiting Dr Greenbaum for six months. 681 00:55:52,561 --> 00:55:59,121 For some mad reason the number of petals on most flowers is a Fibonacci number. 682 00:56:01,641 --> 00:56:04,801 Each number the sum of the previous two, yes? 683 00:56:05,921 --> 00:56:10,641 1,1, 2, 3, 5, 8,13, 21, 34... 684 00:56:11,681 --> 00:56:12,481 So... 685 00:56:12,521 --> 00:56:17,321 Our father was very interested with everything that Turing was doing. 686 00:56:17,881 --> 00:56:20,881 I think he recognised a genius. 687 00:56:20,921 --> 00:56:27,481 And in talking and sharing ideas, it must have been fascinating for him. 688 00:56:28,761 --> 00:56:31,481 Cells don't have a mind of their own. 689 00:56:32,641 --> 00:56:35,521 But a clump of cells will split 690 00:56:35,561 --> 00:56:40,521 and eventually some of the cells will become the backbone of a bird 691 00:56:40,561 --> 00:56:43,481 and some of the others will become its wings. 692 00:56:43,521 --> 00:56:48,841 But how do the individual cells know what part of the organism to become? 693 00:56:50,721 --> 00:56:54,521 So I asked myself whether there might be some mathematical underpinning 694 00:56:54,561 --> 00:56:57,241 to patterns that occur in nature... 695 00:56:57,681 --> 00:57:02,401 like the spots on a cow or the petals on this daisy. 696 00:57:07,761 --> 00:57:10,681 Turing had been working on a revolutionary idea 697 00:57:10,721 --> 00:57:15,521 that mathematics can in principle describe a process called morphogenesis 698 00:57:15,561 --> 00:57:20,561 the way shapes and patterns emerge in living organisms as they develop. 699 00:57:22,761 --> 00:57:25,801 After the war, Turing got interested in biology. 700 00:57:25,841 --> 00:57:29,281 He got interested in plants, and the patterns in plants. 701 00:57:29,321 --> 00:57:32,321 He was also interested in markings on animals. 702 00:57:32,361 --> 00:57:34,841 Why are tigers striped, leopards have spots? 703 00:57:35,361 --> 00:57:39,801 And the idea that there could be a mathematical theory of stripes and spots 704 00:57:39,841 --> 00:57:42,601 was something that biologists just hadn't really thought about. 705 00:57:42,641 --> 00:57:45,081 And for that matter, neither had the mathematicians. 706 00:57:45,121 --> 00:57:48,001 People did not put those two things together. 707 00:57:49,041 --> 00:57:53,521 So Turing was right out on the forefront of mathematical biology 708 00:57:53,561 --> 00:57:55,361 that's now become very important. 709 00:57:59,761 --> 00:58:02,841 What he did, he came up with a mathematical equation 710 00:58:02,881 --> 00:58:05,921 that described how the patterns formed. 711 00:58:15,001 --> 00:58:19,441 If you look at tropical fish you'll see that there are spots, there are stripes... 712 00:58:19,481 --> 00:58:21,561 How does that actually come about? 713 00:58:21,601 --> 00:58:26,641 And Alan Turing, in the early 1950s, really began to attack this problem. 714 00:58:26,681 --> 00:58:32,161 And the way in which he approached this was from a very pure mathematical point of view. 715 00:58:34,201 --> 00:58:38,801 This equation shows that chemicals following incredibly simple mathematical rules 716 00:58:38,841 --> 00:58:44,001 can, in principle, spontaneously create the markings on living creatures. 717 00:58:54,481 --> 00:58:57,761 It's such an interesting equation because it looks very simple... 718 00:58:57,801 --> 00:59:01,161 it doesn't sort of scream stripes or spots at you. 719 00:59:01,201 --> 00:59:03,081 But as soon as you start thinking about it 720 00:59:03,121 --> 00:59:05,361 certainly when Turing started thinking about it 721 00:59:05,401 --> 00:59:09,081 he had had this big insight that patterns are going to form. 722 00:59:19,721 --> 00:59:22,441 The rules are not just put black here, put white there 723 00:59:22,481 --> 00:59:24,401 put black here, put white there 724 00:59:24,441 --> 00:59:27,921 they are not paint zebra by numbers rules. 725 00:59:27,961 --> 00:59:30,601 There are just a naturally running mathematical system 726 00:59:30,641 --> 00:59:33,001 which by some beautiful feature of the mathematics 727 00:59:33,041 --> 00:59:37,161 you crank the handle on the mathematics and out comes the stripes or the spots. 728 00:59:42,841 --> 00:59:47,521 One of the first areas in which he applied this 729 00:59:47,561 --> 00:59:53,001 was to explain the black and white dappling on cows 730 00:59:53,041 --> 00:59:55,961 and he published a famous paper 731 00:59:56,001 --> 01:00:00,481 his morphogenesis paper, explaining that. 732 01:00:08,001 --> 01:00:12,761 You can even draw some sort of parallel between what Turing did for nature 733 01:00:12,801 --> 01:00:14,321 and what he did in Bletchley Park. 734 01:00:15,441 --> 01:00:17,721 Turing is decoding nature. 735 01:00:22,681 --> 01:00:28,161 He had an almost physical feeling for how those equations moved and played together. 736 01:00:28,761 --> 01:00:33,241 And probably the closest analogy for me is of a composer. 737 01:00:33,281 --> 01:00:35,961 Turing is a little bit like Mozart. 738 01:00:36,001 --> 01:00:41,601 He could hear the whole glorious structure of it somewhere inside his head. 739 01:00:50,441 --> 01:00:56,321 Turing really set the scene for a lot of science that is now going on 740 01:00:56,361 --> 01:01:00,121 50 or 60 years after he started this work. 741 01:01:01,401 --> 01:01:03,961 I don't expect you to read my paper 742 01:01:04,001 --> 01:01:08,201 as fascinated as you appear to be in the activities of my imagination. 743 01:01:09,121 --> 01:01:14,521 To me, morphogenesis is a giant beautiful mathematical dream 744 01:01:14,561 --> 01:01:22,481 but to you - I think it would just appear a series of scary mathematical functions. 745 01:01:29,521 --> 01:01:32,681 In a funny way, he had returned to where he started intellectually. 746 01:01:32,721 --> 01:01:39,601 When he was a boy at Sherborne, he was very interested in botany and biology. 747 01:01:40,521 --> 01:01:43,081 There's of course that famous image of him 748 01:01:43,121 --> 01:01:46,321 during the hockey game - watching the daisies grow. 749 01:01:46,361 --> 01:01:51,361 Turing effectively came full circle and returned to that period in his youth. 750 01:01:56,241 --> 01:02:01,121 As their sessions continued, Greenbaum saw Turing not just as a patient 751 01:02:01,161 --> 01:02:03,361 but also as a friend. 752 01:02:05,161 --> 01:02:11,281 I think the empathy that he developed with Alan Turing was very much that. 753 01:02:11,321 --> 01:02:16,961 It was a friendship thing that developed out of the medical relationship. 754 01:02:17,561 --> 01:02:19,961 He was part of the family. 755 01:02:21,041 --> 01:02:23,961 He was very friendly towards me. 756 01:02:24,001 --> 01:02:27,521 And Alan would come and sit by me and talk to me 757 01:02:27,561 --> 01:02:29,321 and take an interest in what I was doing. 758 01:02:30,841 --> 01:02:33,281 I just liked him as a person. 759 01:02:35,441 --> 01:02:40,321 As a child, I would sit there on the floor playing the solitaire game. 760 01:02:40,361 --> 01:02:43,281 And he would sit there chatting. 761 01:02:43,321 --> 01:02:49,561 And then out of the blue this letter arrived in the post. 762 01:02:50,081 --> 01:02:55,121 It says, 'Dear Maria. It is just to tell you how to do the solitaire puzzle.' 763 01:02:56,001 --> 01:02:58,801 And there he's drawn a little diagram. 764 01:03:00,401 --> 01:03:02,761 And then he goes on to close the letter 765 01:03:02,801 --> 01:03:07,201 'I hope you all have a very nice holiday in Italian Switzerland. 766 01:03:07,241 --> 01:03:09,721 I shall not be very far away 767 01:03:10,801 --> 01:03:15,321 at Club Mediterranée, Ipsos, Corfu, Greece. 768 01:03:15,361 --> 01:03:17,481 Yours, Alan Turing.' 769 01:03:27,921 --> 01:03:31,761 During this period, Turing made a couple of trips to the continent. 770 01:03:31,801 --> 01:03:36,801 British gay men often went abroad because they were able to live more freely abroad. 771 01:03:37,521 --> 01:03:40,401 There was not this constant looming threat of arrest. 772 01:03:46,841 --> 01:03:49,721 He sent us a card from Greece. 773 01:03:49,761 --> 01:03:55,041 'I've met the most lovely young man on the beach', he says. 774 01:03:59,681 --> 01:04:05,321 The continent offered joys, pleasures, especially after the war. 775 01:04:06,681 --> 01:04:10,001 And Greece had this mythological status. 776 01:04:10,041 --> 01:04:18,761 And by the 1950s, Paris, parts of Scandinavia, offered these golden opportunities. 777 01:04:22,561 --> 01:04:27,521 During this period, he decided to make a trip to Bergen, Norway for a holiday. 778 01:04:28,241 --> 01:04:30,441 He caught the ferry here in Newcastle 779 01:04:30,481 --> 01:04:34,721 and it was a ferry ride right out there across the North Sea. 780 01:04:35,761 --> 01:04:38,121 Norway represented for him 781 01:04:38,161 --> 01:04:45,721 an alternative to the much more rigid, repressive atmosphere of England at the time. 782 01:04:53,281 --> 01:04:55,641 I've been learning Norwegian. 783 01:04:57,761 --> 01:05:00,081 I rather like Norway. 784 01:05:00,841 --> 01:05:03,081 It may become a routine. 785 01:05:04,681 --> 01:05:07,601 They have dances there for men only. 786 01:05:07,641 --> 01:05:10,241 Men dancing with men. Imagine! 787 01:05:14,241 --> 01:05:18,281 While he was in Bergen, he met a young Norwegian man named Kjell 788 01:05:18,321 --> 01:05:23,521 with whom, as he described it, he shared a drunken kiss under a flag post. 789 01:05:24,561 --> 01:05:27,481 This episode, which seemed very innocent 790 01:05:27,521 --> 01:05:31,361 was unfortunately to have very, very serious repercussions for him. 791 01:05:34,681 --> 01:05:38,881 There was a boy from Norway who apparently came to visit me 792 01:05:39,601 --> 01:05:46,161 but something happened involving the police and I never got to see him. 793 01:05:49,041 --> 01:05:51,001 His name was Kjell. 794 01:05:53,521 --> 01:05:56,161 He wrote to me to say he was coming to visit. 795 01:05:56,201 --> 01:05:59,001 And, as I understand it, he arrived 796 01:06:00,561 --> 01:06:02,561 but before he could make contact 797 01:06:03,161 --> 01:06:07,561 it appears he was chased by the police all over the north of bloody England 798 01:06:08,401 --> 01:06:10,481 and finally he went home. 799 01:06:13,401 --> 01:06:15,121 He was quiet. 800 01:06:15,161 --> 01:06:16,841 Handsome. 801 01:06:18,081 --> 01:06:20,241 A winning combination! 802 01:06:24,241 --> 01:06:27,001 I know they've been watching my house. 803 01:06:27,641 --> 01:06:30,201 Perhaps that's what spooked him. 804 01:06:33,161 --> 01:06:35,601 I wish they'd leave me alone. 805 01:06:41,041 --> 01:06:45,961 An important question is why the police were following Turing. 806 01:06:46,001 --> 01:06:50,481 I suspect the reason was because he was perceived as a major security risk. 807 01:06:51,321 --> 01:06:55,641 We have to remember that 1952 was the absolute height of Cold War paranoia 808 01:06:55,681 --> 01:07:01,961 during which the idea of the homosexual traitor was taking hold in the popular imagination. 809 01:07:04,041 --> 01:07:08,841 Homosexuals must not be handling top secret material. 810 01:07:08,881 --> 01:07:11,761 The pervert is easy prey to the blackmailer. 811 01:07:14,241 --> 01:07:16,321 Turing fit the part perfectly. 812 01:07:16,961 --> 01:07:21,481 We know that he had a lot of classified, secret information 813 01:07:21,521 --> 01:07:24,401 that he had gathered during his time at Bletchley Park. 814 01:07:24,961 --> 01:07:30,441 I think there was probably an assumption that Turing might very well go rogue. 815 01:07:32,841 --> 01:07:36,281 And so the police really began to close in on him. 816 01:07:36,321 --> 01:07:39,841 And this, I think, is something very, very tragic. 817 01:07:39,881 --> 01:07:43,881 I think he began to feel increasingly that he had no freedom anymore 818 01:07:43,921 --> 01:07:46,441 that he couldn't have any kind of an ordinary life. 819 01:07:48,041 --> 01:07:51,961 It's worth bearing in mind that at the same time he was undergoing the organo therapy 820 01:07:52,001 --> 01:07:55,321 which was playing havoc with his hormones. 821 01:08:02,081 --> 01:08:05,641 It wasn't just Turing's body that had been damaged. 822 01:08:05,681 --> 01:08:08,401 His brain too had been affected. 823 01:08:10,521 --> 01:08:13,841 We know from the medical evidence that if you castrate a man 824 01:08:13,881 --> 01:08:17,761 then you change his ability to think and his ability to concentrate. 825 01:08:17,801 --> 01:08:22,641 And if you take testosterone away, then the brain will become muddled. 826 01:08:28,081 --> 01:08:31,321 [Turing's voice] I've got a shocking tendency at present to fritter my time away 827 01:08:31,361 --> 01:08:33,521 in anything but what I ought to be doing. 828 01:08:34,481 --> 01:08:39,281 I thought I'd found the reason for all this, but that hasn't made things much better. 829 01:08:45,801 --> 01:08:50,281 In April 1953, his oestrogen treatment ends. 830 01:08:50,321 --> 01:08:54,081 Turing was perhaps expecting things to change quickly 831 01:08:54,121 --> 01:08:58,561 but his body was not responding in the way that he may have thought it would have done. 832 01:08:59,721 --> 01:09:05,601 The theory is if you stop exposure of the male body to oestrogen 833 01:09:05,641 --> 01:09:10,961 then slowly over time his testosterone levels will begin to rise. 834 01:09:11,001 --> 01:09:13,601 That's fine, in theory. 835 01:09:13,641 --> 01:09:20,481 It can take many, many months, six, seven, eight, nine months, to recover sexual function, if at all. 836 01:09:20,521 --> 01:09:23,761 Some men report that they never recover their sexual function 837 01:09:23,801 --> 01:09:27,201 after they've taken oestrogen therapy for that long. 838 01:09:28,841 --> 01:09:33,441 Organo therapy was court-ordered at my trial if I wanted to avoid prison. 839 01:09:33,481 --> 01:09:36,881 They're hormones, female hormones. 840 01:09:37,721 --> 01:09:41,761 They're meant to decrease my libido. And they do... have. 841 01:09:42,481 --> 01:09:46,441 But being hormones, they also cause other physical reactions. 842 01:09:49,001 --> 01:09:51,401 They say the effects are reversible. 843 01:09:54,281 --> 01:09:56,241 Well, it ends there. 844 01:09:57,561 --> 01:09:59,681 The thought ends there. 845 01:10:01,521 --> 01:10:04,881 I don't know why I should have gone to such lengths to avoid prison. 846 01:10:04,921 --> 01:10:10,801 Being locked up with a bunch of ruffians? I can imagine myself paying for that. 847 01:10:17,001 --> 01:10:18,121 Should we go inside? 848 01:10:23,521 --> 01:10:29,841 The condition of his life was becoming increasingly untenable, increasingly grim. 849 01:10:30,641 --> 01:10:34,601 Somewhere along the line, something broke. 850 01:10:35,561 --> 01:10:40,481 His ability to endure failed 851 01:10:40,521 --> 01:10:45,481 and the suffering that he was undergoing became, I suspect, overwhelming. 852 01:10:51,921 --> 01:10:58,201 In May 1954, Alan Turing joined Franz Greenbaum and his family on a day trip to Blackpool 853 01:10:58,241 --> 01:11:00,441 a beach town in Northwest England. 854 01:11:04,521 --> 01:11:11,241 Alan was wearing a stripy blazer with the sleeves up here 855 01:11:11,281 --> 01:11:14,121 on the white shirt poking out from underneath. 856 01:11:14,161 --> 01:11:17,201 So he really looked very strange. 857 01:11:18,041 --> 01:11:22,721 There was a fortune teller's tent on the promenade 858 01:11:24,361 --> 01:11:29,001 and Alan decided that he would like to go in and see the fortune teller. 859 01:11:29,041 --> 01:11:33,281 And he went in there and he was gone for a little while 860 01:11:33,321 --> 01:11:37,041 and he came out and we looked at him 861 01:11:37,081 --> 01:11:40,041 and he was ashen-faced 862 01:11:40,801 --> 01:11:45,601 absolutely horrified expression on his face. 863 01:11:57,801 --> 01:11:59,641 Do you know what's here? 864 01:12:01,081 --> 01:12:02,201 What? 865 01:12:02,761 --> 01:12:05,921 Signals. Radio signals. Just here. 866 01:12:07,441 --> 01:12:11,001 The air is full of radio signals flying past our heads 867 01:12:11,041 --> 01:12:12,321 ready to be intercepted. 868 01:12:14,801 --> 01:12:17,241 We all see different things. 869 01:12:18,081 --> 01:12:21,761 Do you know honeybees see by ultraviolet light? 870 01:12:23,201 --> 01:12:28,401 Their eyes perceive a range of wavelengths entirely different to what we can see as humans 871 01:12:28,441 --> 01:12:34,441 and so, even though we're in the same world, we see another world entirely. 872 01:12:39,641 --> 01:12:42,441 When I went to see that fortune teller in Blackpool 873 01:12:43,081 --> 01:12:46,801 she told me one or two things I suppose I didn't want to know. 874 01:12:48,401 --> 01:12:50,121 What did she say? 875 01:12:50,161 --> 01:12:53,801 Our session was private, just like yours and mine. 876 01:12:54,801 --> 01:12:57,841 But she saw things other people don't. 877 01:12:58,561 --> 01:13:00,321 Rather like you. 878 01:13:02,761 --> 01:13:08,041 He wouldn't divulge what had happened, what the woman had said to him. 879 01:13:08,081 --> 01:13:11,681 He was desperately, desperately unhappy. 880 01:13:11,721 --> 01:13:14,801 And he didn't say anything more after that. 881 01:13:21,161 --> 01:13:23,801 I don't think I'm allowed to travel anymore. 882 01:13:26,121 --> 01:13:28,601 It doesn't matter what I say now, does it. 883 01:13:29,121 --> 01:13:31,801 They think our sort are weak-willed and so we're bound to talk 884 01:13:31,841 --> 01:13:35,441 so fuck them, fuck them sideways. I'll say whatever I please. 885 01:13:39,161 --> 01:13:42,721 Alan, what's happened? 886 01:13:43,401 --> 01:13:44,921 Nothing. 887 01:13:46,641 --> 01:13:48,321 Nothing's happened. 888 01:13:48,721 --> 01:13:51,641 Nothing new anyway, nothing different. 889 01:13:53,921 --> 01:13:58,721 There must have come a moment when he felt it just wasn't worth it. 890 01:13:58,761 --> 01:14:01,361 That sense of despair. 891 01:14:02,241 --> 01:14:09,921 Whatever the possibilities of his life, for him, those possibilities didn't seem realistic anymore. 892 01:14:12,281 --> 01:14:15,001 I've seen Snow White and the Seven Dwarfs seven times. 893 01:14:15,041 --> 01:14:17,001 That's 49 times I've seen a dwarf. 894 01:14:18,521 --> 01:14:21,321 Do you ever wonder what poison she soaks the apple in? 895 01:14:21,361 --> 01:14:23,041 They don't say in the film. 896 01:14:23,081 --> 01:14:24,881 She'd have had her pick. 897 01:14:24,921 --> 01:14:28,041 Poisons appear everywhere in nature. 898 01:14:28,481 --> 01:14:32,201 Some of the most beautiful flowers contain the deadliest poisons. 899 01:14:32,241 --> 01:14:34,801 Oleander, Rhododendron, Narcissus. 900 01:14:38,281 --> 01:14:40,721 Do you know what their poison did to me? 901 01:14:42,121 --> 01:14:44,681 It shrunk my testicles. 902 01:14:46,481 --> 01:14:48,361 I grew breasts. 903 01:14:49,761 --> 01:14:54,561 I, we all, worked to break Hitler because what did he do? 904 01:14:54,601 --> 01:14:56,161 Amongst other things? 905 01:14:57,241 --> 01:15:00,641 He sterilised Jews. Jews like you. 906 01:15:01,601 --> 01:15:04,321 We fought that bastard. We defeated him. 907 01:15:04,361 --> 01:15:07,401 And when we were finished, what did they do to me? 908 01:15:09,161 --> 01:15:11,721 And I'm supposed to allow it. 909 01:15:17,121 --> 01:15:19,641 It would be despicable to do that to anyone 910 01:15:19,681 --> 01:15:23,801 but to do that to someone who ought to have been treated as a national hero 911 01:15:23,841 --> 01:15:26,001 seems to me especially despicable. 912 01:15:26,761 --> 01:15:33,921 What he suffered was too profound and too debilitating for him to recover from. 913 01:15:37,281 --> 01:15:41,041 He suddenly saw what a nasty place the world was. 914 01:15:51,521 --> 01:15:53,001 There are things I can do. We're all at war 915 01:15:53,041 --> 01:15:58,081 all of us, all of the time, each in our own little fucking war. 916 01:15:59,481 --> 01:16:01,361 What are you saying? 917 01:16:04,041 --> 01:16:06,401 Don't worry. I'm not saying anything. 918 01:16:07,641 --> 01:16:12,801 Although Snow White, coupled with my own perverse thinking 919 01:16:13,401 --> 01:16:17,641 did yield an amusing idea as to how someone might kill himself 920 01:16:17,681 --> 01:16:20,881 using an apple and electrical wiring. 921 01:16:20,921 --> 01:16:23,081 That would be illegal. 922 01:16:23,121 --> 01:16:24,641 Well, if a man were successful 923 01:16:24,681 --> 01:16:27,881 the bastards would have to try to pull him back from the mouth of hell 924 01:16:27,921 --> 01:16:30,641 and I have to say - though I'm not telling you this 925 01:16:31,041 --> 01:16:34,081 it would almost be worth it just to see them try. 926 01:16:37,841 --> 01:16:40,121 We all have decisions to make. 927 01:16:41,681 --> 01:16:44,801 I don't know what it was that finally tipped him over the edge. 928 01:16:44,841 --> 01:16:51,841 But I think you've got a mixture there that is just at boiling point 929 01:16:51,881 --> 01:16:55,801 and it won't take a lot more to make it boil right over. 930 01:16:57,641 --> 01:17:00,001 Mathematicians talk about the beauty of numbers 931 01:17:00,041 --> 01:17:01,881 but I know - because I was one - 932 01:17:01,921 --> 01:17:04,401 they're talking about the computable 933 01:17:05,481 --> 01:17:08,001 the beauty of what can be resolved. 934 01:17:09,241 --> 01:17:12,801 But what about the rest, the greater infinity? 935 01:17:13,161 --> 01:17:20,281 What's not computable lies beyond the infinitesimal sliver of knowledge 936 01:17:20,321 --> 01:17:26,241 we've managed to subdue inside our fragile, trembling human consciousness 937 01:17:27,441 --> 01:17:34,161 a consciousness which is, in fact, decaying within us from the moment we're born. 938 01:17:40,161 --> 01:17:42,761 I won't be able to come for dinner on Sunday. 939 01:17:43,441 --> 01:17:45,961 I'm afraid I've made other plans. 940 01:17:46,001 --> 01:17:48,841 Alan, come back! Sit down! 941 01:18:04,201 --> 01:18:09,441 Alan Turing's body was found by his housekeeper on June the 8th, 1954. 942 01:18:09,881 --> 01:18:12,161 He was 41 years old. 943 01:18:12,561 --> 01:18:16,681 The death was recorded as suicide, caused by cyanide poisoning. 944 01:18:17,641 --> 01:18:20,721 A half-eaten apple lay by his bedside. 945 01:18:21,561 --> 01:18:23,481 He left no note. 946 01:18:25,481 --> 01:18:30,401 My mum came in and she said, 'I've got something to tell you'. 947 01:18:30,441 --> 01:18:32,841 And she said, 'Alan has died'. 948 01:18:32,881 --> 01:18:35,361 And I was just so upset. 949 01:18:39,081 --> 01:18:44,081 When we heard that he'd died, our father was very upset. 950 01:18:44,121 --> 01:18:50,401 It was very disturbing. Terrible waste of a brilliant brain. 951 01:18:52,521 --> 01:18:57,321 We lost one of our great computer scientists, one of our great mathematicians 952 01:18:57,361 --> 01:19:00,441 one of our first mathematical biologists 953 01:19:00,921 --> 01:19:07,961 and I think British science would have advanced faster 954 01:19:08,001 --> 01:19:10,081 and would have been different in many ways 955 01:19:10,121 --> 01:19:14,401 more creative, in some ways, if Turing had lived. 956 01:19:17,321 --> 01:19:21,001 I think all we can say is that it is a terrible tragedy 957 01:19:21,041 --> 01:19:26,241 that such a great and brilliant man should have had to suffer so much. 958 01:19:26,281 --> 01:19:31,201 And that his life should have ended in such a tragic way. 87024

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