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147. Alan Turing - The Codebreaker · Who Did What Now With Katie Charlwood

• 0:00
  Speaker 1: Hello, delicious friends, and welcome to Who Did What Now?
• 0:03
  Speaker 1: The history podcast That's Not Your History Class with me
• 0:07
  Speaker 1: your host Katie Charlewood, history harlot and reader of books.
• 0:13
  Speaker 1: I may have been ranting on the internet this week.
• 0:15
  Speaker 1: I mean I did us some good stuff. But let's
• 0:18
  Speaker 1: start with the ranting, because yet again our souls cannot
• 0:22
  Speaker 1: keep Anne Frank's name out of the damn mouths. One
• 0:27
  Speaker 1: week they're arguing that she never existed, and the very
• 0:31
  Speaker 1: next they're going, oh, don't use her as a comparison
• 0:33
  Speaker 1: as to what ice are doing what? And may I
• 0:37
  Speaker 1: add the fuck because here's the thing, as historical references go,
• 0:45
  Speaker 1: this is a fairly accurate one, like and I know,
• 0:48
  Speaker 1: I don't really talk about the Holocaust too much because
• 0:51
  Speaker 1: one it's incredibly depressing, and two this is not your
• 0:56
  Speaker 1: history class, like I don't cover the very very basics,
• 1:00
  Speaker 1: like hey, they mass deported people into camps like this
• 1:07
  Speaker 1: I felt was a general knowledge situation, although in recent
• 1:11
  Speaker 1: years I've discovered what I've thought is a fact everyone knew,
• 1:15
  Speaker 1: like general knowledge, common knowledge, has turned out to be
• 1:18
  Speaker 1: not the case. So yeah, okay, So anyway, I've been
• 1:23
  Speaker 1: ranting on the internet about that because it's like, how
• 1:28
  Speaker 1: dare you? I also got to use a Malibu Stacey reference,
• 1:31
  Speaker 1: so that was fun for me, but it's just like,
• 1:33
  Speaker 1: how dare you? How dare you try and use this
• 1:37
  Speaker 1: poor girl who suffered in life and in death? How
• 1:43
  Speaker 1: dare you? I am loved. I am to quote my
• 1:47
  Speaker 1: boss Coss, I am cross. I am unhappy with this.
• 1:54
  Speaker 1: And I don't usually go like full on randy, like
• 1:57
  Speaker 1: on on camera, and I'm normally more composed, but I
• 2:01
  Speaker 1: did a one take, like full on rant about this
• 2:06
  Speaker 1: situation because I know what I'm fucking talking about. Okay,
• 2:10
  Speaker 1: this is my area of expertise, and I don't usually
• 2:13
  Speaker 1: do it, and I don't do that. But the good
• 2:16
  Speaker 1: news is, she says, stepping aside, is that I did
• 2:20
  Speaker 1: manage to film a video with my son. You may
• 2:23
  Speaker 1: have seen his hand because I bought him a dinosaur
• 2:27
  Speaker 1: because he's been really doing well. He did very well.
• 2:30
  Speaker 1: He progressed at school. I mean, he's not where he
• 2:33
  Speaker 1: could be. But it's all a process. We're working together,
• 2:38
  Speaker 1: and positive reinforcement I thought was like such a thing
• 2:41
  Speaker 1: that we needed to do, you know, and so for
• 2:45
  Speaker 1: you know, actually you know, working hard and the fact
• 2:48
  Speaker 1: that he put in effort. I was like, great, you're
• 2:51
  Speaker 1: getting a tree. So him and his sister, they did
• 2:53
  Speaker 1: really well in the report cards this year. So I
• 2:56
  Speaker 1: took them to Smith's Toys and I got them something
• 3:00
  Speaker 1: they wanted. She wanted a two hundred and fifty piece
• 3:02
  Speaker 1: art set. I was like, absolutely, you get what you want.
• 3:04
  Speaker 1: You wanted a dinosaur. I got a dinosaur. And then
• 3:07
  Speaker 1: he wanted to make a video with the dinosaur, and
• 3:10
  Speaker 1: I was like sure, and so we made it. And
• 3:13
  Speaker 1: people love Jeffy the Dinosaur, which has become a thing.
• 3:18
  Speaker 1: And so if people behave, if you'll behave, you will
• 3:22
  Speaker 1: get more Jeffrey content. Okay, I've spoken to him, and
• 3:26
  Speaker 1: my boy is up for making more Jeffy content. So
• 3:30
  Speaker 1: we will see what happens and got I hope Jeffy
• 3:33
  Speaker 1: isn't like a weird slang for something that I'm too
• 3:36
  Speaker 1: old to know about, because I don't need that hasshole
• 3:39
  Speaker 1: right now. But anyway, I know what you're thinking, Kerriie.
• 3:42
  Speaker 1: It's been almost four minutes. Quite your jibber jabba in
• 3:45
  Speaker 1: fact me, in fact you, I will, but first we've
• 3:49
  Speaker 1: got to get our source on. Our sources are Alan Turing,
• 3:53
  Speaker 1: The code Breaker Who's Saved millions of Lives by Jack Copeland,
• 3:57
  Speaker 1: Alan Turing, The Enigma and Hodges The Sherburne Formula. The
• 4:03
  Speaker 1: Making of Alan Turing by Rachel Hassal. Professor Alan Turing
• 4:08
  Speaker 1: Decoded by Dermot Touring. What Did Turing Do for Us?
• 4:13
  Speaker 1: By James Grime. The Professor's Book, Touring's Treaties on the
• 4:18
  Speaker 1: Enigma by Alan M. Turing. Alan Turing, His Work and
• 4:23
  Speaker 1: Impact by Jan Van Lewin and Barry Cooper. Alan Mturing
• 4:29
  Speaker 1: by Sarah Stoney Turing. And Let's not forget our old
• 4:33
  Speaker 1: favorites History dot Com and Biography dot Com. I use
• 4:37
  Speaker 1: it in comfortably goat. Then let's begin from day one
• 4:43
  Speaker 1: of the podcast. I mean, I've been doing it for
• 4:46
  Speaker 1: like almost five years now, but from day one, I
• 4:51
  Speaker 1: have always wanted to talk about Alan Turing. He has
• 4:55
  Speaker 1: been on my list. He was in the top ten
• 4:58
  Speaker 1: when I first started writing it out, and I think
• 5:00
  Speaker 1: he may have been the only man on that list initially.
• 5:03
  Speaker 1: And I know I don't talk about men very often
• 5:05
  Speaker 1: in this podcast, especially not in a favorable light, because
• 5:10
  Speaker 1: why would I, but Alan Turing he was someone I
• 5:15
  Speaker 1: wanted to talk about for so long, I always felt
• 5:18
  Speaker 1: like I was never going to be able to do
• 5:21
  Speaker 1: him justice. And this stems from and you're gonna think
• 5:26
  Speaker 1: this is ridiculous, but my mom and I ho were
• 5:29
  Speaker 1: watching the Olympics opening ceremony right and it was in
• 5:35
  Speaker 1: the UK. They had, you know, they were doing the
• 5:37
  Speaker 1: big thing in London and what's his name, Danny was it?
• 5:42
  Speaker 1: Danny Boyle had directed the stage production of everything that
• 5:47
  Speaker 1: was going on, whoever it was. And you know, Darcy
• 5:50
  Speaker 1: Bustle had come out of retirement. She was a ballerina
• 5:53
  Speaker 1: and she would have been in extreme pain performing which
• 5:57
  Speaker 1: came out of it to do it for the Olympics,
• 5:59
  Speaker 1: for doing the opening term. I love Darcy Bustles, so
• 6:02
  Speaker 1: that's why I felt they need to mention her. But
• 6:05
  Speaker 1: they had this like moment where, you know, because they
• 6:09
  Speaker 1: were talking about like icons and history and all this stuff,
• 6:13
  Speaker 1: and they had like the Spice Girls come out, They
• 6:15
  Speaker 1: Darcy bust will come out. And they had this like
• 6:18
  Speaker 1: segment where they had a moment for Alan Turing and
• 6:24
  Speaker 1: I'm getting I'm welling up now. And my mom she's
• 6:27
  Speaker 1: not an emotional person. She's a very private person. So
• 6:31
  Speaker 1: she's gonna be like, a, you're talking about me and
• 6:33
  Speaker 1: that podcast again, So I are you talking about me
• 6:37
  Speaker 1: on the podcast again? Because my mom sounds like Kathleen
• 6:39
  Speaker 1: Tunner but Scottish. And she's like, are you talking about
• 6:44
  Speaker 1: me again? And she starts getting emotional, like she starts
• 6:48
  Speaker 1: feeling human feelings, and she's watching this piece on Alan
• 6:52
  Speaker 1: Turing and she's just like welling up. She's getting really
• 6:57
  Speaker 1: upset about it, and she's talking about, you know, how
• 7:02
  Speaker 1: they were so cruel to him in life and how
• 7:05
  Speaker 1: he never got the respect he deserved at the time.
• 7:10
  Speaker 1: See now I'm getting emotional about it because he is
• 7:15
  Speaker 1: or was the lynchpin. You know, he helped, you know,
• 7:20
  Speaker 1: end the war. Like no matter what way you put it,
• 7:22
  Speaker 1: he was part of that team. He was he was
• 7:26
  Speaker 1: that like again, the lynchpin. He was that important point
• 7:31
  Speaker 1: and he was I don't know the quarterback, I don't
• 7:35
  Speaker 1: know the sports, but like he was like a very
• 7:36
  Speaker 1: important member of the team. And because you know, the
• 7:41
  Speaker 1: war isn't won by one person alone, it's won by
• 7:43
  Speaker 1: all of the people involved. And he just he never
• 7:51
  Speaker 1: got the respect he deserved because he was a homosexual man.
• 7:56
  Speaker 1: And that's the beyond and end all of the situation.
• 7:59
  Speaker 1: And you know there's always like DINNYA the f Burgers,
• 8:02
  Speaker 1: which is a redundant term, but like, was he autistic?
• 8:05
  Speaker 1: Was he this? Maybe? Maybe he was maybe autistic, definitely homosexual.
• 8:13
  Speaker 1: And that's where like things just didn't work out for him.
• 8:21
  Speaker 1: And I was always so worried to talk about him
• 8:23
  Speaker 1: because I always felt like I would bugger up his story.
• 8:27
  Speaker 1: But without further adot, let me tell you about Alan Turing,
• 8:32
  Speaker 1: this pridee, Alan Matheson Turing was born as many people are.
• 8:38
  Speaker 1: He was born on the twenty third of June nineteen
• 8:40
  Speaker 1: twelve and made a veil in London, England, to Julius
• 8:45
  Speaker 1: Mathson Turing and to Ethel Sarah Stoneycheuring. Now she never
• 8:50
  Speaker 1: really went by Ethel. She went by Sarah, and I'm
• 8:53
  Speaker 1: just gonna stick with that because you know, if you
• 8:55
  Speaker 1: don't want to be called Ethel, then you don't want
• 8:57
  Speaker 1: to be called Ethel. So he is the second of
• 9:01
  Speaker 1: two children. His brother, John Ferrier Cheuring, was a wee
• 9:06
  Speaker 1: bit older. Now, the reason the boys are in England,
• 9:11
  Speaker 1: the reason that Alan is actually born in England is
• 9:15
  Speaker 1: because his parents wanted their children to be raised in
• 9:19
  Speaker 1: England instead of India because Julius he was in the
• 9:27
  Speaker 1: Indian civil service. Effectively he was like a member of
• 9:32
  Speaker 1: the British Army, but in India, and he was on
• 9:35
  Speaker 1: leave so that Alan could be born, right, so he's
• 9:38
  Speaker 1: all part of the British raj. So at that time
• 9:41
  Speaker 1: I think it was the Madras presidency that was going on,
• 9:45
  Speaker 1: so you know, colonialism, because that's a thing. Now Here's
• 9:49
  Speaker 1: here's a fun fact. His dad, so Alan Turing's paternal grandfather,
• 9:54
  Speaker 1: he was a reverend, so he was Reverent Turing and
• 9:58
  Speaker 1: so their family they were like mainly Scottish merchants, so
• 10:02
  Speaker 1: they're all like like traders in businessmen and they're like
• 10:08
  Speaker 1: based in the Netherlands, but they're like Scottish because here's
• 10:11
  Speaker 1: the thing. What I've noticed actually is Fresian, so like
• 10:16
  Speaker 1: where the black and white cows come from, like like Friesland.
• 10:21
  Speaker 1: The Frisian language is very similar in ways in the
• 10:24
  Speaker 1: pronunciation to like old Scotts. Like it's a very interesting
• 10:29
  Speaker 1: linkage there. Anyway, on his maternal side, like Ethel Sarastone,
• 10:36
  Speaker 1: like her family, like her dad was an engineer and
• 10:39
  Speaker 1: like chief engineer on the Madras railway and they're all
• 10:43
  Speaker 1: like Anglo Irish, so they're basically Protestant Irish people who
• 10:49
  Speaker 1: are now in basically wreaking the rewards of the colonialism
• 10:56
  Speaker 1: that overtook their own country. So they're like from Tipperary
• 10:59
  Speaker 1: because there's a long long way to Tipperary, as we know.
• 11:03
  Speaker 1: And also like Longford, which is a county that I
• 11:08
  Speaker 1: keep forgetting exists, like Loud, like I keep forgetting about Loud,
• 11:12
  Speaker 1: but it's fine now. I think she actually lived in
• 11:16
  Speaker 1: County Claire for a while. I don't know exactly where,
• 11:20
  Speaker 1: but if here's the thing, Claire and Tipperary we are
• 11:23
  Speaker 1: really close. So if she was like Balina Killaloo sort
• 11:26
  Speaker 1: of in that area, it wouldn't be surprising if she
• 11:30
  Speaker 1: was down that sort of part of the country, like
• 11:32
  Speaker 1: because those those she were a border, you know. And
• 11:35
  Speaker 1: like so Julius and Sarah, they actually get married in
• 11:41
  Speaker 1: Dublin in Ball's Bridge, which is like now definitely like
• 11:46
  Speaker 1: a fancier place like the RDS and everything is down
• 11:48
  Speaker 1: that way, and there's some of the any fancy boutique
• 11:51
  Speaker 1: hotels which are lovely, by the way, I've stayed in
• 11:56
  Speaker 1: a few of them because I like to save up
• 11:58
  Speaker 1: my money in staying are nice places and treat myself
• 12:01
  Speaker 1: when I go places, because like, if I can, sometimes
• 12:07
  Speaker 1: I'll just like splurge and treat myself. No that I've
• 12:10
  Speaker 1: done that in a while, because I am struggling now.
• 12:14
  Speaker 1: It's fine. People have it worse than me. But anyway,
• 12:19
  Speaker 1: So Julius, he's a member of the Indian Civil Service
• 12:23
  Speaker 1: colonialism and like his grandfather actually, so if we're going
• 12:29
  Speaker 1: like up this patril ainnial line, like he'd been a
• 12:32
  Speaker 1: member of the Bengal Army, but basically like he was.
• 12:38
  Speaker 1: Here's the thing. Back in the day, parents went too
• 12:41
  Speaker 1: keen about spending all that time with their kids, so
• 12:44
  Speaker 1: they wanted their kids raised in Britain, but they didn't
• 12:47
  Speaker 1: necessarily want to raise them themselves. So what happened was,
• 12:51
  Speaker 1: because Julius is still very much, you know, a member
• 12:55
  Speaker 1: of the Indian Civil Service, is that he has to
• 12:58
  Speaker 1: go back to India, like he's like, his commission is
• 13:02
  Speaker 1: still going, so he's gonna go back, and so he does,
• 13:06
  Speaker 1: and his wife follows him because of course she does.
• 13:09
  Speaker 1: And so John and Allen, the brothers, they are left
• 13:14
  Speaker 1: in the care of this retired army couple, which is
• 13:19
  Speaker 1: like it just sounds like a really good idea for
• 13:22
  Speaker 1: like a book or a stage show, like and now
• 13:26
  Speaker 1: there's dang with this retaamic couple who let's face it
• 13:31
  Speaker 1: would have been in the army during the Victorian era,
• 13:36
  Speaker 1: like this is like logically reasonably chronologically, like that's where
• 13:41
  Speaker 1: this would have been. And so when Anne Cheering is
• 13:45
  Speaker 1: about six years old, like which is young. I think
• 13:49
  Speaker 1: he starts school like four or five, and he's six,
• 13:53
  Speaker 1: and people start noticing, hey, this boy is good with
• 13:57
  Speaker 1: the maths. Nope, I'm wrong at six because he starts
• 14:01
  Speaker 1: school at six. So I was looking at the years
• 14:04
  Speaker 1: and I'm like, hah, that math hit mathing for me. Yep,
• 14:07
  Speaker 1: he's six when he starts school, and basically from the
• 14:10
  Speaker 1: moment he starts school, his teachers are like, oh, this
• 14:14
  Speaker 1: boyo's math. And so he's at Saint Michael's in Saint
• 14:19
  Speaker 1: Leonard's n' Sea and so he's there for like three years,
• 14:23
  Speaker 1: and the headmistress she's like, this boy has such a
• 14:26
  Speaker 1: brain on him, Like she's like, this boy is smart.
• 14:28
  Speaker 1: Everybody look at how smart this boy is. So he's
• 14:32
  Speaker 1: there and then after this he moves to Hazlehurst Preparatory
• 14:38
  Speaker 1: School preparatory school I can't say words sometimes, and so
• 14:43
  Speaker 1: it's this like little school in this village in East Sussex.
• 14:49
  Speaker 1: And then when he's thirteen, he goes to the Shareborn School,
• 14:53
  Speaker 1: which is a boarding school in Dorset. So Hon and
• 14:57
  Speaker 1: his brother both go there. And then yeah, so here's
• 15:02
  Speaker 1: the thing, right, So as parents they're way in India,
• 15:05
  Speaker 1: they come back every now and again, and for the
• 15:07
  Speaker 1: most part the kids are either in these like boarding
• 15:11
  Speaker 1: schools or they're staying with this retired army couple. But
• 15:14
  Speaker 1: then on like school holidays, like the summertime, they would
• 15:18
  Speaker 1: spend that with their parents. Now I think it's like
• 15:23
  Speaker 1: nineteen twenty six, when he's like thirteen and he's starting
• 15:26
  Speaker 1: school or secondary school really like properly that older school
• 15:30
  Speaker 1: age and it's not secondary school. Yeah, it's like that. Yeah,
• 15:35
  Speaker 1: you know what I mean anyway, but for like college. Yeah,
• 15:45
  Speaker 1: so he's he starts this boarding school and he's at
• 15:52
  Speaker 1: West Court House, so he is at Worst Courthouse at
• 15:55
  Speaker 1: the Shrebonne School. And the First Day of Terror happened
• 16:00
  Speaker 1: to coincide with a nineteen twenty six general strike which
• 16:04
  Speaker 1: meant that he couldn't like travel, so like he almost
• 16:08
  Speaker 1: didn't make his first day of school. So because this
• 16:13
  Speaker 1: strike is on and he's so determined to get to
• 16:17
  Speaker 1: school that he cycles sixty miles which is ninety seven
• 16:24
  Speaker 1: kilometals for those of you who use the metric system,
• 16:28
  Speaker 1: and he just cycles, it's sixteen years old, from Southampton
• 16:34
  Speaker 1: to Sherborne. Now he does stop, like he stays at
• 16:38
  Speaker 1: an inn overnight, like a weary traveler on the road,
• 16:41
  Speaker 1: which is technically what he is, but he just stays
• 16:44
  Speaker 1: in an inn and then continues on his merry way.
• 16:47
  Speaker 1: Now it's the year after this that his parents actually
• 16:50
  Speaker 1: buy a house in Guildford. Oh, my sweet christ I
• 16:55
  Speaker 1: just like aged him up by three years. He was thirteen.
• 16:58
  Speaker 1: It's a secondary school. Why did I call it, I'm sixteen.
• 17:00
  Speaker 1: It's because of nineteen twenty six. It buckled up my brain.
• 17:04
  Speaker 1: He was thirteen. He was thirteen and he cycled sixty
• 17:10
  Speaker 1: miles on his own. He was thirteen and he traveled
• 17:15
  Speaker 1: sixty miles unaccompanied. Okay, no, no, no, my boy's eleven.
• 17:23
  Speaker 1: I mean I've seen him like cycle six miles on
• 17:26
  Speaker 1: his own and then come back dripping in sweat, but
• 17:29
  Speaker 1: like you'll you'll go, you know, but like yeah, yeah, no, no,
• 17:37
  Speaker 1: thirteen is too No, it's too young. I'm sorry. Please
• 17:40
  Speaker 1: don't please don't cycle for sixty miles unaccompanied thirteen year
• 17:45
  Speaker 1: olds unless like you really have to, unless it's like
• 17:48
  Speaker 1: a life for death situation, in which case cycle cycle
• 17:51
  Speaker 1: little children like eighty you know, not the eight was
• 17:54
  Speaker 1: actually doing the cycling. That's not the point. Don't mind
• 18:01
  Speaker 1: this thirteen year old staying at this and unaccompanied? What
• 18:07
  Speaker 1: what anyway? Sorry? But also what sorry? Anyway? At school,
• 18:14
  Speaker 1: he did well with maths and sciences and also running. Now,
• 18:18
  Speaker 1: he didn't have a lot of male friends, specifically because
• 18:23
  Speaker 1: it's boys were at school obviously, but he didn't have
• 18:26
  Speaker 1: a lot of friends. He didn't really vibe with other
• 18:31
  Speaker 1: people much. But yes, he was at this boarding school then,
• 18:35
  Speaker 1: and I love about that. None of his parents thought
• 18:38
  Speaker 1: maybe I'll drive him, maybe because I'm want to drive
• 18:40
  Speaker 1: him to school, you know, he just anyway, sorry, I'm
• 18:42
  Speaker 1: really stuck on this and it bothers me so much.
• 18:46
  Speaker 1: Nobody thought let's get this boy to school anyway. I
• 18:51
  Speaker 1: can't believe getting so mad about this. This is such
• 18:53
  Speaker 1: a thing to get riled up on. But yes, so
• 18:58
  Speaker 1: at school he's like, so, we're into like maths and
• 19:01
  Speaker 1: science and things like that, but he's not really into
• 19:04
  Speaker 1: you know, Latin and mythology and you know those kind
• 19:09
  Speaker 1: of things sort of the classics, and so he's not
• 19:13
  Speaker 1: really into like Greek and Roman literature and all that
• 19:15
  Speaker 1: kind of stuff, especially if it's in the original translation,
• 19:21
  Speaker 1: and he's not like into it and he's not like
• 19:25
  Speaker 1: super great at it. And it gets to the point
• 19:27
  Speaker 1: that his head master ends up writing to his parents, like,
• 19:31
  Speaker 1: please do something with this boy. Basically he's like he's
• 19:36
  Speaker 1: he's gonna fallow between two stools. Effectively, they're like, either,
• 19:41
  Speaker 1: you know, send him away somewhere where he can focus
• 19:44
  Speaker 1: specifically on science and maths, right, do this, because if
• 19:49
  Speaker 1: he stays here, he needs to focus on classics and
• 19:52
  Speaker 1: like become good at that shit. Like that's basically it, right,
• 19:56
  Speaker 1: And you know how there's this whole thing about how
• 19:58
  Speaker 1: gays can't do math and like bisexual women mathematics. No, sorry,
• 20:04
  Speaker 1: it's not a thing that math mathing, and but yeah,
• 20:09
  Speaker 1: Alan cheering is like no, no, no, no, no, the
• 20:11
  Speaker 1: gays can math. No excuse me, So he just starts
• 20:17
  Speaker 1: like doing complicated like math equations, like he's never done
• 20:21
  Speaker 1: like basic like calculus and stuff. But the boy he
• 20:25
  Speaker 1: knows his maths like he can just understand it, like
• 20:28
  Speaker 1: he gets it. The interesting thing. But maths, though, is
• 20:31
  Speaker 1: it something that you need to like consistently do and
• 20:36
  Speaker 1: think about? And I was thinking about this concept about
• 20:39
  Speaker 1: him maybe being autistic or you're a divergent of some flavor,
• 20:43
  Speaker 1: and like you focus on things, and the reason you
• 20:48
  Speaker 1: remember things is because you play them in your head,
• 20:50
  Speaker 1: which is why negative bias is such a thing, because
• 20:54
  Speaker 1: we replay memories and feelings over and over our head
• 20:58
  Speaker 1: and we tend to focus on the worst things because
• 21:01
  Speaker 1: we try to rethink it and relive it anyway, So
• 21:06
  Speaker 1: like you're doing things over and over your head, and maths.
• 21:09
  Speaker 1: I find maths itself is repetition. It's understanding formulas and
• 21:13
  Speaker 1: things because it's it's repetition, it's memory, and like most
• 21:18
  Speaker 1: things are really but I think it's one of those
• 21:20
  Speaker 1: things you have to actively do. Maybe it's just my
• 21:23
  Speaker 1: little idiot math brain. But he's just like in it,
• 21:30
  Speaker 1: like he gets it, like it's always like on the
• 21:33
  Speaker 1: cost for him. It's just I don't want to say easy,
• 21:37
  Speaker 1: because I don't think anything was easy. He just had
• 21:40
  Speaker 1: a talent for it, and he had a skill, and
• 21:45
  Speaker 1: he just leaned more in that direction, and because he
• 21:49
  Speaker 1: was interested in it, it was easier for him to
• 21:53
  Speaker 1: learn well. Being at school, it wasn't just maths and running.
• 21:57
  Speaker 1: He did running. The boy liked run, which is not
• 22:02
  Speaker 1: a team sport, as you may have guessed. And so
• 22:05
  Speaker 1: he is running. So he's basically isolated himself in a
• 22:09
  Speaker 1: completely different way. Like he's not into the classics like
• 22:13
  Speaker 1: the other boys are. He's like and like a little nerd,
• 22:17
  Speaker 1: a little gay nerd. He's a guard if you will
• 22:20
  Speaker 1: not gourd, which is the thing that pregnant women get,
• 22:27
  Speaker 1: which is it's not indigestion, it's like acid reflux. Anyway,
• 22:30
  Speaker 1: that's not the point. He's a little gain nerd, and
• 22:33
  Speaker 1: he likes to run. He's a fast, gay nerd. And
• 22:37
  Speaker 1: he falls in love. He falls in love with Christopher Morcambe,
• 22:42
  Speaker 1: who I think is like I can't remember if he's
• 22:45
  Speaker 1: in the year above the year below, but like they're
• 22:48
  Speaker 1: not the same age, but Christopher, you know, they're in
• 22:53
  Speaker 1: different houses and but they just sort of come across
• 22:56
  Speaker 1: each other, and it is Alan's Cheering's first love. There
• 23:02
  Speaker 1: his first love, and this relationship it is cut short
• 23:09
  Speaker 1: because in the nineteen thirties, Christopher passes away from bovine tuberculosis.
• 23:15
  Speaker 1: And if you're thinking that's the second time you've mentioned
• 23:18
  Speaker 1: cows in this episode, you are correct. But bovine tuberculosis
• 23:25
  Speaker 1: was a type of tuberculosis that you got from drinking
• 23:28
  Speaker 1: cow's milk infected cow's milk, which is why you're supposed
• 23:33
  Speaker 1: to pasteurize it. Sorry, we're we're going to drink wow milk.
• 23:38
  Speaker 1: You're gonna get bovine tuberculosis. Okay, lads, can we not anyway? Why? So? Yeah,
• 23:46
  Speaker 1: in nineteen thirty Christopher moore Can passes away from bovine tuberculosis, which, again,
• 23:54
  Speaker 1: it's just a mark of tragedy in Alan Turing's life. Now.
• 24:00
  Speaker 1: I know they say that maybe he's atisaic because he
• 24:04
  Speaker 1: didn't have these sort of social connections. Yet maybe he
• 24:07
  Speaker 1: didn't have those social connections because he wasn't raised by
• 24:10
  Speaker 1: his family and he was consistently being sent off to
• 24:14
  Speaker 1: other places. I'm I'm just giving an option, floating the idea,
• 24:21
  Speaker 1: and this really hit Alan turing hard like it really
• 24:24
  Speaker 1: broke his heart, and he basically used his grief as
• 24:29
  Speaker 1: fuel to work harder at maths and science because that's
• 24:33
  Speaker 1: what he and Christopher actually bonded over. And Christopher Wrkam
• 24:38
  Speaker 1: introduced him to astronomy, and so not astrology like he
• 24:43
  Speaker 1: wasn't like hmmm, pisce surprising. No, he was just like
• 24:48
  Speaker 1: into astronomy and planets and all that jazz, and so
• 24:53
  Speaker 1: he started focusing on that because there was a connection
• 24:56
  Speaker 1: they had, and he even became close to Christopher Morcam's mum,
• 25:01
  Speaker 1: and every year, like round about Christopher's birthday, he would
• 25:08
  Speaker 1: write letters. It's a wonderful thing letters. He would write
• 25:12
  Speaker 1: letters to Christopher's mum, and in one of them he
• 25:17
  Speaker 1: even said, I am sure I could not have found
• 25:21
  Speaker 1: anywhere another companion so brilliant and yet so charming and unconceited.
• 25:27
  Speaker 1: I regarded my interest in my work and in such
• 25:30
  Speaker 1: things as astronomy to which he introduced me, as something
• 25:33
  Speaker 1: to be shared with him, and I think he felt
• 25:36
  Speaker 1: a little the same about me. I know I must
• 25:39
  Speaker 1: put as much energy, if not as much interest, into
• 25:42
  Speaker 1: my work as if he were alive, because this is
• 25:44
  Speaker 1: what he would like me to do. But like, that's
• 25:48
  Speaker 1: so sweet. He's finding a way to channel that grief
• 25:55
  Speaker 1: and appreciate the person from when they were alive. There's
• 26:00
  Speaker 1: just something so beautiful about that human emotions. I don't
• 26:06
  Speaker 1: like him. So anyway, he ends up going to King's College,
• 26:10
  Speaker 1: not a scholarship, because his family had enough money to
• 26:13
  Speaker 1: pay for him to go there. I'm gonna get a
• 26:15
  Speaker 1: scholarship to King's College, and I'll mean to break with Damn,
• 26:18
  Speaker 1: I amazed in a Stanish that's a really bad line,
• 26:21
  Speaker 1: Monroe Moranda impression. Even though like Alexander Hamilton's Scottish, right,
• 26:29
  Speaker 1: he's Scottish descent, like his dad's Scottish. His name is
• 26:32
  Speaker 1: Alexander Hamilton. Like that, that's a very Scottish name. And
• 26:37
  Speaker 1: he's like in the island of Nevis. He's from Nevis, right,
• 26:42
  Speaker 1: like in the West Indies. But like, yeah, so I
• 26:46
  Speaker 1: I whenever I think of Hamilton, I like to think
• 26:48
  Speaker 1: of him as having a Scottish accent. My name is
• 26:52
  Speaker 1: Alexander Hamilton. My name is Alexander Hamilton. And there's a
• 26:57
  Speaker 1: million things I haven't done, but just do it, just
• 27:01
  Speaker 1: do it. So, yes, he goes to King's College to
• 27:06
  Speaker 1: study mathematics, and then he goes to Princeton, yes that Princeton,
• 27:10
  Speaker 1: to get a PhD. And so he goes across the
• 27:14
  Speaker 1: pond and then it comes back, and so September nineteen
• 27:18
  Speaker 1: thirty eight, during starts working part time at the Government
• 27:23
  Speaker 1: Code in Cypher School, which is basically a code breaking
• 27:27
  Speaker 1: organization like in Britain, a British code breaking organization, if
• 27:31
  Speaker 1: you will, which I don't know if you know dates.
• 27:35
  Speaker 1: But this is like just before the Second World War
• 27:39
  Speaker 1: breaks out, which seems like a really good time to
• 27:42
  Speaker 1: go for a break. And we're back. I hope you've
• 27:49
  Speaker 1: enjoyed your adverts, commercials, or perhaps even a moment of silence,
• 27:53
  Speaker 1: So enjoy that. So here's the thing before we get
• 27:57
  Speaker 1: into like more alenturing stuff. It's like, so, you know,
• 28:04
  Speaker 1: I don't have control over like the programmatic ads that
• 28:08
  Speaker 1: show up here, Like I don't have any involvement in that.
• 28:12
  Speaker 1: All I know is that for some reason, Sony Pictures
• 28:15
  Speaker 1: we're doing a lot of ads. I don't even know
• 28:17
  Speaker 1: what they were for, but apparently that's the thing. So uh,
• 28:22
  Speaker 1: one time, like I got like angry mesteres about how
• 28:26
  Speaker 1: there's like Trump ads on the podcast or some angry
• 28:30
  Speaker 1: conservative stuff, and I'm like, shouldn't you be happy that
• 28:36
  Speaker 1: they're there, because it means what they're doing is they're
• 28:39
  Speaker 1: just wasting money. Because if anybody's listening to my podcast,
• 28:44
  Speaker 1: like a doubt they're conservative, and if you are, you
• 28:46
  Speaker 1: can fuck right off because I don't want you here,
• 28:50
  Speaker 1: Like I'm I'm not here for angry people who are
• 28:56
  Speaker 1: on the right, which is actually the wrong side of history,
• 29:01
  Speaker 1: because you know, I feel like common decency and morals
• 29:06
  Speaker 1: are relevant to life and existence. So yeah, you can
• 29:10
  Speaker 1: fuck right off if you fall into conservative American Republicanism
• 29:15
  Speaker 1: like all that kind of shit, Bye bye adios or
• 29:17
  Speaker 1: what is in now? Sometimes you know you grew up
• 29:22
  Speaker 1: in a situation and your mind is changed. Find great,
• 29:25
  Speaker 1: I understand, but like, don't son, just don't AnyWho like, yeah,
• 29:32
  Speaker 1: if they're wasting their money on my podcast, which they're
• 29:38
  Speaker 1: doing just to make you angry, like they're just wasting
• 29:42
  Speaker 1: their money, they're wasting it. Right, But I don't really
• 29:47
  Speaker 1: care what adverts are played unless they're very funny, unless
• 29:50
  Speaker 1: they're weirdest shit you tell me about it, because I
• 29:52
  Speaker 1: want to know that stuff, right, I had someone Messa
• 29:57
  Speaker 1: away and they were like, I got one for Texas
• 29:59
  Speaker 1: gone writing gener like that's amazing. So if we can
• 30:02
  Speaker 1: get the three g's, it'll be great, which is guns,
• 30:06
  Speaker 1: God and girls girls girls, Like I'm so mad. I
• 30:11
  Speaker 1: was in La and I saw like the one billboard
• 30:13
  Speaker 1: that was about guns, right, and I saw a god billboard,
• 30:17
  Speaker 1: but I never saw girls girls girls billboard. Was so
• 30:21
  Speaker 1: mad I want to see one anyway. Now back to
• 30:26
  Speaker 1: Alan Cheering. It's nineteen thirty nine and the French and
• 30:33
  Speaker 1: the British meet with the Polish cipher Bureau and it
• 30:38
  Speaker 1: is here that the Polish give them information about the
• 30:42
  Speaker 1: wiring of the Enigma cipher machine and also about their
• 30:46
  Speaker 1: method of decryption. And it's this that is given then
• 30:54
  Speaker 1: to Alan Chung's Alan Sheering. He's working with Dilly Knox, right,
• 31:00
  Speaker 1: they're like a great team. So the Polish the sort
• 31:06
  Speaker 1: of the decryption method they were using, it sort of
• 31:10
  Speaker 1: required this insecure indicator in the German cipher. Now this
• 31:18
  Speaker 1: could be changed and fixed like on the other side,
• 31:20
  Speaker 1: on the German side, and so it wasn't the most
• 31:24
  Speaker 1: reliable and Germany they ended up like changing the cipher
• 31:29
  Speaker 1: the insecure indicator in the cipher in like nineteen forty
• 31:33
  Speaker 1: so like the following year. So this method it wasn't like,
• 31:37
  Speaker 1: it wasn't like the best because like two years in,
• 31:41
  Speaker 1: two years in it's just crack and so cheering. He
• 31:46
  Speaker 1: created this crib based decryption. So he ended up being
• 31:51
  Speaker 1: able to like improve the machine that they were using.
• 31:54
  Speaker 1: And so the Polish had a machine called the BOMBA,
• 31:56
  Speaker 1: which is like this little activity type machine that they
• 32:00
  Speaker 1: used to decrypt the ciphers. And then Turing created the
• 32:04
  Speaker 1: BOMBA which was b O MB so like yeah, yeah,
• 32:11
  Speaker 1: and so that's what they were using to decode the
• 32:15
  Speaker 1: British ciphers. And effectively he just kind of upgraded He
• 32:20
  Speaker 1: basically upgraded the BOMBA And this was basically put into
• 32:25
  Speaker 1: Bletchley Park, So if you haven't watched Bletchley Circle, you should.
• 32:30
  Speaker 1: So anyway, an into thirty nine, after the UK declares
• 32:34
  Speaker 1: war on Germany, and if I hear anybody be like
• 32:37
  Speaker 1: Chamberlain takes you long. Britain could not survive going into
• 32:44
  Speaker 1: war early. It would have lost, it would have failed.
• 32:47
  Speaker 1: It was not economically, it was not socially. There was
• 32:51
  Speaker 1: not enough of anything to survive. And so you know,
• 32:55
  Speaker 1: the appeasement was basically biding time. Like just because it
• 33:00
  Speaker 1: was in Gung Ho doesn't mean shit wasn't combined the
• 33:03
  Speaker 1: scenes anyway. Anyway, Again, I don't really talk about the
• 33:06
  Speaker 1: psychomodel war match anyway, Okay, which is funny because like
• 33:13
  Speaker 1: I have a whole thing about what we're doing probat No, no, Kerry,
• 33:17
  Speaker 1: it's not about that. It's about Alan Turing, Okay. So
• 33:21
  Speaker 1: let's talk about Alan so Yes in this bomba. It
• 33:30
  Speaker 1: was just the first of five major advances that Turing
• 33:33
  Speaker 1: would make during the war. And so it's in Bletchley
• 33:38
  Speaker 1: Park and this is when they cracked the German cyphers
• 33:42
  Speaker 1: using his methods and so like they were able to
• 33:47
  Speaker 1: crack the coat. And so one of the other things
• 33:52
  Speaker 1: he does is he was able to reduce the indicator
• 33:56
  Speaker 1: procedure used by the German navy, and so they would
• 34:01
  Speaker 1: use a cipher but it was separate from the other
• 34:04
  Speaker 1: ciphers and no one was working on it, and Chewing
• 34:07
  Speaker 1: was like, fuck this vergame of soldiers. I'm gonna crack it.
• 34:12
  Speaker 1: And so he developed a new statistical procedure which made
• 34:17
  Speaker 1: this whole thing like more effective. And he's just like
• 34:21
  Speaker 1: updating shit, Like he's just making everything better, making the
• 34:24
  Speaker 1: bombs more effective, making things faster, like yeah. So he
• 34:30
  Speaker 1: ends up developing this procedure called the Churing Gray and
• 34:36
  Speaker 1: it was working out the cam settings on the wheel
• 34:38
  Speaker 1: of the law and cipher machine and so it's like
• 34:40
  Speaker 1: little machine and has all these like settings and wheels,
• 34:43
  Speaker 1: and he figured out this procedure of how like to
• 34:45
  Speaker 1: decipher it and move it. And then towards the end
• 34:49
  Speaker 1: of the war he developed a portable secure voice scrambler
• 34:53
  Speaker 1: which they code named Delilah right, which honestly, if hey there,
• 34:58
  Speaker 1: Delilah was a about this, it would be so much cooler.
• 35:03
  Speaker 1: That's what I need, Like, hey there, Delilah. And it's
• 35:06
  Speaker 1: like this little voice scrambling machine. Oh my god, it's
• 35:10
  Speaker 1: like but it's like scream. No wait, I need artists
• 35:15
  Speaker 1: to make this because that would be fucking cool anyway,
• 35:19
  Speaker 1: And so anyway, the bomber it laired to like I
• 35:24
  Speaker 1: don't know, it's probably just pronounced bomb, but I'm like
• 35:27
  Speaker 1: bomba bomba. So this ended up like leading to like
• 35:34
  Speaker 1: the breaking of the German ciphers and Bletchley And in
• 35:38
  Speaker 1: forty six, Cheuring was appointed as Officer of the Order
• 35:42
  Speaker 1: of the British Empire by King George the sixth for
• 35:47
  Speaker 1: his help during the war, because obviously the war it finisheshurray.
• 35:52
  Speaker 1: They were able to crack the ciphers and the codes
• 35:55
  Speaker 1: and get information that they needed in order for them
• 35:58
  Speaker 1: to you know, do the army stuff, so they could
• 36:02
  Speaker 1: send the army to do the things that it needed
• 36:05
  Speaker 1: to do. Like it's not just a man with a
• 36:08
  Speaker 1: gun or a man in a tank, Like you had
• 36:12
  Speaker 1: all of these different cogs in the machine doing their part.
• 36:16
  Speaker 1: And then you have Alan Turing who's just spearheading like
• 36:23
  Speaker 1: this and a lot of his work. It was it
• 36:27
  Speaker 1: was hidden because they you know, there was always the
• 36:30
  Speaker 1: fear of another war as well, like that was there
• 36:34
  Speaker 1: and then the Cold War happened, and so there's just
• 36:37
  Speaker 1: this massive, you know secrecy. So like there's a Secrecy
• 36:43
  Speaker 1: Act and it basically keeps a lot of the stump.
• 36:47
  Speaker 1: But he does get like, you know, Officer of the
• 36:52
  Speaker 1: Order of the British Empire gets his we medal. Yeah, yeah, yeah.
• 36:57
  Speaker 1: So that same year he presented a paper on the
• 37:00
  Speaker 1: stored memory computer, which would store programs and an accessible
• 37:06
  Speaker 1: electronic memory. Like he wasn't the first person to do
• 37:09
  Speaker 1: a paper on it, but he was the first one
• 37:11
  Speaker 1: to present a paper that was this incredibly detailed like paper,
• 37:19
  Speaker 1: like he had a designer the computer, what it would do,
• 37:21
  Speaker 1: how it would look, how it would work, and everyone
• 37:23
  Speaker 1: was like, oh what. Because he wanted this to be accessible.
• 37:30
  Speaker 1: He wanted, you know, people to be able to use
• 37:33
  Speaker 1: these machines. And it's so amazing when you think about it,
• 37:37
  Speaker 1: like Alan Turing this, I mean, what is called a
• 37:43
  Speaker 1: gay man is the reason we have computers? Right right,
• 37:47
  Speaker 1: let's just sit put that out there. A woman is
• 37:51
  Speaker 1: the reason we have the internet, why Wi Fi works,
• 37:55
  Speaker 1: you know, like hitty lamar, you know, and they would
• 37:59
  Speaker 1: have been a lot I've like around about the same time.
• 38:05
  Speaker 1: And like even before this, you have oh my god,
• 38:11
  Speaker 1: Lord Byron's daughter, how have I ever gotten her name?
• 38:14
  Speaker 1: Ada Lovelace? Ada Lovelace? Right, so you've got her who
• 38:18
  Speaker 1: went along with Charles Babbage like they invented like the
• 38:22
  Speaker 1: concept of computing. But yeah, it's here's the thing, like
• 38:27
  Speaker 1: all these people are the reason that we have a
• 38:30
  Speaker 1: phone in our hand right now. But anyway, anyway, he is,
• 38:36
  Speaker 1: like he's putting out this paper, is like look computers,
• 38:42
  Speaker 1: and he worked on a design for ACE, which is
• 38:44
  Speaker 1: this automatic computing engine. But because you know, secrecy, the
• 38:50
  Speaker 1: war all this stuff, like like he there's loads of
• 38:54
  Speaker 1: delays on it and he can't fucking talk about it, right,
• 38:57
  Speaker 1: and so the project doesn't really get off the ground,
• 39:00
  Speaker 1: and obviously he becomes disillusioned. And then by the time
• 39:07
  Speaker 1: the nineteen fifties roll around, like the sort of an
• 39:12
  Speaker 1: ACE was starting to be built, but suring like wasn't
• 39:16
  Speaker 1: therefore because he was off you know, in Cambridge, and
• 39:20
  Speaker 1: the full version of the automatic computing machine, like it
• 39:26
  Speaker 1: would not come about until after his death, like the
• 39:30
  Speaker 1: proper version, the full version now, like he's on the
• 39:36
  Speaker 1: sabbatical from Cambridge, so he's in Cambridge, right, and he
• 39:43
  Speaker 1: ends up like making or producing work right on intelligent machinery.
• 39:51
  Speaker 1: Now this doesn't get published during his lifetime, Like this
• 39:55
  Speaker 1: is all published like post mortem. And you've got to
• 39:58
  Speaker 1: remember as well, like like for a lot of people,
• 40:03
  Speaker 1: the idea of his science would be science fiction. Like
• 40:07
  Speaker 1: he could see something in the future that a lot
• 40:09
  Speaker 1: of people just weren't able to grasp. And so he's
• 40:14
  Speaker 1: like hooking his nails into this and he is, you know,
• 40:20
  Speaker 1: writing about machines and intelligent machinery. He's warning us about Skynet.
• 40:25
  Speaker 1: But also he's like, you know, coming up the idea
• 40:28
  Speaker 1: of the computer. And not only that, but he wanted
• 40:32
  Speaker 1: the computer to be something that we all had access to.
• 40:36
  Speaker 1: But anyway, nineteen forty eight, he gets reader in the
• 40:44
  Speaker 1: mathematics department at Victoria University of Manchester. Basically he's appointed
• 40:49
  Speaker 1: reader and this is like a high flutin professor, right,
• 40:56
  Speaker 1: he has up the ranks. He's like top dog professor.
• 41:00
  Speaker 1: Basically means he's like super duber smart. So he is
• 41:05
  Speaker 1: just like tippity top quam of the crop, you know,
• 41:09
  Speaker 1: and so Will He's there. He studied and I shit
• 41:12
  Speaker 1: you not Ai, and he creates an experiment which we
• 41:17
  Speaker 1: still talk about today called the Turing test and the
• 41:24
  Speaker 1: Chewing test creates a standard for what a machine needed
• 41:29
  Speaker 1: to do to be deemed intelligent. Now. It was originally
• 41:34
  Speaker 1: called the imitation game, which is what the movie with
• 41:40
  Speaker 1: Bendley bum Cumber Snatch is in and Kieren Knightley sorry
• 41:49
  Speaker 1: I needed a moment. So yeah, he was creating this test.
• 41:56
  Speaker 1: He was working with a man, a colleague called Champerone.
• 42:01
  Speaker 1: And they ended up creating a chess program to play
• 42:04
  Speaker 1: through the computer. Unfortunately, fucking nerds, nerds and their chess.
• 42:11
  Speaker 1: I'm kidding, I'm I don't think ahead enough to play
• 42:15
  Speaker 1: chess like I'm not. I mean that being said, the
• 42:20
  Speaker 1: last time I probably played chess like properly with any
• 42:24
  Speaker 1: sort of determination was my mom had got my dad,
• 42:29
  Speaker 1: like back when they were you know together, was in
• 42:35
  Speaker 1: the nineties, and she'd got him a Battle of Hastings
• 42:40
  Speaker 1: chest set. So it was like like a handcarved Battle
• 42:43
  Speaker 1: of Hastings, like the Normans versus the Anglo Saxons. Like anyway,
• 42:48
  Speaker 1: really good, really fun. I ended up breaking the head
• 42:50
  Speaker 1: off Upond, not intentionally. His head just kind of fell off.
• 42:56
  Speaker 1: He got better, but yeah, I go to it back
• 43:01
  Speaker 1: on with some with some glue. It was fine. I
• 43:05
  Speaker 1: didn't get in that much trouble. So, yeah, they try
• 43:09
  Speaker 1: and make this game of chess to the computer, but
• 43:14
  Speaker 1: the computer wasn't powerful enough to run the program that
• 43:18
  Speaker 1: they created, and Sochuring really wanted to see if it
• 43:22
  Speaker 1: would work. And so he sits down at a chessboard
• 43:26
  Speaker 1: and went through the program by hand, playing out the
• 43:30
  Speaker 1: moves that the computer would have played against his colleague,
• 43:34
  Speaker 1: and so it takes him half an hour, like thirty
• 43:38
  Speaker 1: minutes to do each move because he had to like
• 43:42
  Speaker 1: read through the algorithm to like make sure that he
• 43:46
  Speaker 1: was doing it the right way and so like, and
• 43:49
  Speaker 1: they're recording like eight step of this game, right, which
• 43:53
  Speaker 1: is so much effort. Like, I mean, I get the
• 43:59
  Speaker 1: hyper focus consideration now, Like that's the thing though, are
• 44:03
  Speaker 1: you passionate about something or is it a hyper focus
• 44:06
  Speaker 1: Like you have to understand the difference anyway, So yeah,
• 44:13
  Speaker 1: each move, each move is like half an hour, So
• 44:17
  Speaker 1: games could last weeks, I guess, because that's when you
• 44:22
  Speaker 1: think about it, because if you're in half an hour
• 44:23
  Speaker 1: for one move, I suppose days is probably more reasonable
• 44:27
  Speaker 1: when you think about it. But yeah, so the game
• 44:33
  Speaker 1: is recorded, and they said the program was able to
• 44:35
  Speaker 1: play chess in a recognizable way. Now it could play,
• 44:40
  Speaker 1: but it wouldn't beat the colleague, Like there was no
• 44:46
  Speaker 1: like record of it ever beating like Champro and it's
• 44:51
  Speaker 1: like never beaten them in this test. But there's a
• 44:56
  Speaker 1: rumor which I feel is deeplyay deeply settled in misogyny
• 45:04
  Speaker 1: because it's like it bet the colleague's wife a game
• 45:07
  Speaker 1: off chess once the mathematician's wife. Did it beat the
• 45:10
  Speaker 1: mathematician who played chess? Cool? Did it beat the way? Sure? Okay,
• 45:16
  Speaker 1: but there's no record of that. But there's like a
• 45:18
  Speaker 1: little rimor because it's like, oh, but it did be
• 45:20
  Speaker 1: a woman fuck right off? But yes, the cheering test,
• 45:25
  Speaker 1: it's like it still exists today, like we still use
• 45:28
  Speaker 1: it as that baseline for like the debate involving artificial intelligence.
• 45:38
  Speaker 1: Like it's like, oh, computers can't think, but like here's
• 45:45
  Speaker 1: the thing. Modern AI, which is just like burning cities
• 45:50
  Speaker 1: and draining legs, is so wild to me because it's
• 45:54
  Speaker 1: not intelligent because Guba things through AI and it it's
• 46:01
  Speaker 1: it's just a text scrambler. Really. It scrapes information and
• 46:07
  Speaker 1: it puts it together, but it doesn't put it together correctly.
• 46:11
  Speaker 1: Because I have on occasion I've asked chat, GPT and stuff,
• 46:15
  Speaker 1: like I've tested out we're all ask for information regarding
• 46:20
  Speaker 1: like something in history specifically, I'm like, hey, tell me
• 46:23
  Speaker 1: about ABC, and without a doubt, it will give me
• 46:27
  Speaker 1: the incorrect information every single time. Like it's rare that
• 46:31
  Speaker 1: I will get like something in chronological order, because I
• 46:35
  Speaker 1: could go in and I was like, give me the
• 46:36
  Speaker 1: chronological order of the major events in so and so's life,
• 46:40
  Speaker 1: and without a doubt it will fuck like half of
• 46:43
  Speaker 1: that up right, It'll be completely bollixed. And like I
• 46:47
  Speaker 1: saw somebody ask it to put this darkhad musicals in
• 46:51
  Speaker 1: chronological order, and it like not only put them in
• 46:55
  Speaker 1: the wrong order, but it also gave them different names.
• 46:59
  Speaker 1: So AMD, which is me and my dick, like it
• 47:02
  Speaker 1: changed to like myself and my depression, Like it just
• 47:06
  Speaker 1: changed the aims. But yeah, it's it's funny because the
• 47:11
  Speaker 1: amount of people that will type something into Google and
• 47:17
  Speaker 1: will just like screenshot whatever the AI has said and
• 47:22
  Speaker 1: then send it back to me. And I'm like, no, no, no,
• 47:27
  Speaker 1: quote a paper right, like quote a scientific journal, quote
• 47:33
  Speaker 1: something that's real, quote a respected historian, like do something right,
• 47:40
  Speaker 1: don't just share your bullshit right. I have no time
• 47:43
  Speaker 1: for it because it's just a predictive text thing. That's
• 47:47
  Speaker 1: basically what the shitty AI is. And also, if you
• 47:50
  Speaker 1: want to like hoodwink, the AI just shove a swear
• 47:53
  Speaker 1: word in there, because like if you ask for like
• 47:58
  Speaker 1: it's like give me the fucking list of matches games
• 48:06
  Speaker 1: by Boss and Celtics, Like there won't be an AI
• 48:09
  Speaker 1: thing there because the word fucking is in there. And
• 48:13
  Speaker 1: I found that out because somebody told me so, and
• 48:17
  Speaker 1: then I tried it because I'm like, why are you
• 48:19
  Speaker 1: automatically having AI involved in the thing. I don't want AI.
• 48:23
  Speaker 1: I want an option to not have AI. I would
• 48:26
  Speaker 1: pay money, right, I would pay to have a browser
• 48:30
  Speaker 1: that would not automatically use AI telling you would, I
• 48:35
  Speaker 1: would pay for that service because fuck that. Anyway, back
• 48:40
  Speaker 1: to Alan Turing, you know what, let's just let's just
• 48:43
  Speaker 1: take a minute to cool of commercial break and we
• 48:50
  Speaker 1: have returned. Hello, did you enjoy that moment away from me?
• 48:54
  Speaker 1: I bet you did. So. Personal life now weird. I've
• 48:58
  Speaker 1: done this twice now, and then there's twice in a
• 49:01
  Speaker 1: row where I've just gone here's professional, here's personal. So uh,
• 49:06
  Speaker 1: personal life. Here we go. So, when he's like at Bletchley,
• 49:14
  Speaker 1: when he's working in the huts and whatnot, he gets
• 49:18
  Speaker 1: engaged to Joan Clark and yeah, played by Kiera Knightley
• 49:24
  Speaker 1: and the Immedition game. Maybe I'm I'm just saying anyway,
• 49:27
  Speaker 1: and so they get engaged in nineteen forty one, and
• 49:33
  Speaker 1: it doesn't like last like it would have been a
• 49:39
  Speaker 1: lavender marriage. So here's the thing cheering. He ends up
• 49:43
  Speaker 1: telling her that he's gay, right, He ends up admitting
• 49:47
  Speaker 1: to her, and she's like, let's kill like, no worries,
• 49:52
  Speaker 1: And it's very much like a marriage of convenience really,
• 49:57
  Speaker 1: because she gets her freedom by being able to be
• 50:00
  Speaker 1: with him, because like she's smart, she's able to live
• 50:02
  Speaker 1: with him. And he then decides that he's going to
• 50:08
  Speaker 1: break off the engagement because he doesn't see it as
• 50:11
  Speaker 1: fair to her or fair to himself. He's dealing with
• 50:16
  Speaker 1: a lot of his own feelings, and so he ends
• 50:21
  Speaker 1: up breaking off their engagement and he doesn't really have
• 50:27
  Speaker 1: any major relationships for a while until nineteen fifty two
• 50:34
  Speaker 1: and he gets into a relationship with Andrew Maray. Not
• 50:38
  Speaker 1: the tennis player. To my knowledge now, Andrew Murray is
• 50:43
  Speaker 1: nineteen and Alan Turing is thirty nine, so not super
• 50:49
  Speaker 1: fond of this age gap. It was very typical of
• 50:52
  Speaker 1: the time. Not going to deny that, but yeah, there's
• 50:55
  Speaker 1: there's an age gap. And so the very same that
• 51:01
  Speaker 1: they you know that they start the relationship, Churring's house
• 51:07
  Speaker 1: is broken into and he gets burgled. He gets burgled, right,
• 51:13
  Speaker 1: and Andrew Murray like they tell him that they know
• 51:18
  Speaker 1: who the burglar is, like they know this, and Alan cheering,
• 51:24
  Speaker 1: He's just like I'm sorry, what And so he ends
• 51:28
  Speaker 1: up going to the police. He reports the crime, and
• 51:32
  Speaker 1: for some reason he decides to tell them that he
• 51:36
  Speaker 1: and Andrew Murray are in a relationship, a sexual relationship,
• 51:41
  Speaker 1: which was illegal at the time. M M. Yeah, that's
• 51:45
  Speaker 1: that's a factual piece of information. And so even though
• 51:49
  Speaker 1: he was burgled, he was robbed, the police are more
• 51:53
  Speaker 1: focused on the fact that he is a homosexual man
• 51:56
  Speaker 1: in a homosexual relationship, and so both men are charged
• 52:01
  Speaker 1: with gross indecency and basically February that year, so like
• 52:06
  Speaker 1: this is January, this is February. There's this like committal proceeding,
• 52:11
  Speaker 1: which is effectively you go guilty, not guilty, and Alan
• 52:14
  Speaker 1: Turing's brother is like, tell them you're guilty, and Alan
• 52:17
  Speaker 1: Turing is like okay, and so yeah, he's He's like
• 52:25
  Speaker 1: I'm guilty and doesn't even try and deny the charges.
• 52:29
  Speaker 1: And he ends up being convicted in March and was
• 52:31
  Speaker 1: told he could either go to jail or be put
• 52:34
  Speaker 1: on probation. However, in order to go on probation, he
• 52:39
  Speaker 1: had to get chemically castrated to ensure he could no
• 52:43
  Speaker 1: longer perform sexual acts with other men, which is fucking
• 52:50
  Speaker 1: gross and this is gross indecency. No, this is gross indecency.
• 52:55
  Speaker 1: This is indecent and gross. Like he has to get
• 53:02
  Speaker 1: chemically castrated through injections a synthetic estrogen that reduced his libido,
• 53:08
  Speaker 1: makes him impotent, and it caused you know, a growth
• 53:13
  Speaker 1: of breast tissue, so it made him impotent, and it
• 53:17
  Speaker 1: gave him bibbs okay, like anyway, effectively, it's like HRT anyway.
• 53:26
  Speaker 1: So because he's convicted, his security clearance has removed, like
• 53:30
  Speaker 1: he couldn't continue working with the government, so like his
• 53:36
  Speaker 1: cryptographic consultancy for the government, which is like part of
• 53:40
  Speaker 1: that British cipher organization, like he just that was removed.
• 53:45
  Speaker 1: He couldn't work there anymore. And so the company he
• 53:49
  Speaker 1: was originally working for at the time, like the government
• 53:52
  Speaker 1: code in cyber school becomes the government communication headquarters like
• 53:56
  Speaker 1: after the war, and so we still work in there.
• 53:58
  Speaker 1: Then security clearance has removed, so he doesn't have a job.
• 54:03
  Speaker 1: So he could keep his academic job, so he could
• 54:06
  Speaker 1: still be in Cambridge as like the professor, but he
• 54:09
  Speaker 1: couldn't do like the cryptography, right, And so it's the
• 54:16
  Speaker 1: nineteen fifty two So you got the lavender scare, which
• 54:19
  Speaker 1: I've mentioned, I think in the Tulah bank Head episode
• 54:22
  Speaker 1: and I think maybe Mr le Meddrif. So you got that,
• 54:25
  Speaker 1: You've got the red scare. So they think you're like
• 54:27
  Speaker 1: a communist or gay or a gay communist or I
• 54:30
  Speaker 1: don't know at this point, just a sexy socialist ah
• 54:35
  Speaker 1: ah god. And so he's working there. He tries to
• 54:40
  Speaker 1: get into the US, which he can't actually do as
• 54:43
  Speaker 1: well because he's convicted. Because he's got this conviction, he
• 54:49
  Speaker 1: can't enter the US, he can't do work there either,
• 54:52
  Speaker 1: and so a huge part of his life is just gone.
• 54:58
  Speaker 1: And so this is March. Three months later, on the
• 55:05
  Speaker 1: eighth of June nineteen fifty four, Alan Shearing's housekeeper found
• 55:11
  Speaker 1: him dead in his home at the age of forty one.
• 55:17
  Speaker 1: It is reported that the cause of his death was
• 55:20
  Speaker 1: cyanide poisoning, you know, because they found cyanide in his
• 55:24
  Speaker 1: system and his death had a lot of like weird
• 55:28
  Speaker 1: like bits around it, and so how he died it's
• 55:34
  Speaker 1: kind of vague, but the agreed sort of statement of
• 55:40
  Speaker 1: the time was that he died by suicide by way
• 55:46
  Speaker 1: of cyanide. Like a cyanide suicide just sounds more poetic
• 55:51
  Speaker 1: than it should be. That being said, there have been
• 56:00
  Speaker 1: questions around that. Now you can understand why someone at
• 56:05
  Speaker 1: this point might want to want to do this. So, yeah,
• 56:10
  Speaker 1: I'm going to talk about this in a little bit
• 56:12
  Speaker 1: more details. So if you feel uncomfortable, just skip forward
• 56:17
  Speaker 1: like two and a half to three minutes, three minutes,
• 56:20
  Speaker 1: skip forward three minutes just for good measure. Okay, So
• 56:26
  Speaker 1: Alan Churning, he's found dead. There is a half eaten
• 56:30
  Speaker 1: apple beside his bed, right and so so it is
• 56:36
  Speaker 1: the eighth of June nineteen fifty four and at forty
• 56:39
  Speaker 1: three Adlington Road in Wimslow, which is his house at
• 56:42
  Speaker 1: the time. Turing's housekeeper comes in to find Alan Turing
• 56:47
  Speaker 1: dead in their bed, a half eaten apple on the
• 56:51
  Speaker 1: bedside table. And so there's this theory that several theories
• 56:58
  Speaker 1: about his death, and one of which being that this
• 57:02
  Speaker 1: was death by suicide and that cyanide was in the
• 57:07
  Speaker 1: apple and that's how this happened. Now and during he
• 57:12
  Speaker 1: had a habit of eating apples before bed. It was
• 57:14
  Speaker 1: just a thing he did. He would have a little
• 57:16
  Speaker 1: bit of apple, sometimes a full apple, sometimes half an apple.
• 57:19
  Speaker 1: You know, wouldn't always have an apple, but most of
• 57:22
  Speaker 1: the time he'd eat an apple before bed, right. It
• 57:24
  Speaker 1: was just something he did part of his routine. And
• 57:29
  Speaker 1: apparently he was like a really big fan of snow
• 57:33
  Speaker 1: White or he was haunted by the story of snow White,
• 57:36
  Speaker 1: allegedly is. And there's this theory that he was trying
• 57:41
  Speaker 1: to like reenact like snow White by having a poisoned apple.
• 57:47
  Speaker 1: Now that's a consideration now. And the reasoning behind this was, like,
• 57:58
  Speaker 1: you know, he'd undergone chemic castration, he lost his consultancy job,
• 58:05
  Speaker 1: like he had a conviction now, and he was dealing
• 58:08
  Speaker 1: with all this stuff and so like this like in
• 58:12
  Speaker 1: combination with I mean, if he's taking all these hormones,
• 58:17
  Speaker 1: that this affected his mood to the point that he
• 58:20
  Speaker 1: just decided to do this, which is an option, which
• 58:25
  Speaker 1: is I don't want to see a valid option, because
• 58:32
  Speaker 1: if things get to a point where you feel there
• 58:34
  Speaker 1: was no other option but to end things, then you
• 58:39
  Speaker 1: have reached You've fallen down a hole and you cannot
• 58:45
  Speaker 1: see a way out of it. If the pain that
• 58:49
  Speaker 1: you are feeling you cannot find a light or a
• 58:53
  Speaker 1: flicker of hope to that is a terrible place to be,
• 58:56
  Speaker 1: and I would never I wouldn't wish on anybody. I
• 59:01
  Speaker 1: wouldn't wish those feelings on anybody, those moments of desperation
• 59:08
  Speaker 1: where the only concept of peace comes from ending your life. However,
• 59:18
  Speaker 1: there are some other theories, one of which being that
• 59:20
  Speaker 1: this was a massive accident. So there's a lot of
• 59:26
  Speaker 1: queries regarding the Corner's historical verdict. Now, Turing used to
• 59:32
  Speaker 1: use this apparatus to electroplate gold onto spoons. It was
• 59:38
  Speaker 1: basically to like dissolve gold, not like alchemy in case
• 59:43
  Speaker 1: you're wondering, because okay, anyway, potassium cyanide was used to
• 59:48
  Speaker 1: dissolve the gold. And so he had one of these
• 59:51
  Speaker 1: like set up in his wee spare room. And there
• 59:55
  Speaker 1: is the possibility that he could have accidentally inhaled assume cyanide.
• 1:00:01
  Speaker 1: You know, it's very much something that could have happened.
• 1:00:06
  Speaker 1: And the Corners report it does lean more towards sort
• 1:00:11
  Speaker 1: of inhalation of fumes as opposed to ingestion of cyanide.
• 1:00:15
  Speaker 1: And like people argue as well that you know, he
• 1:00:19
  Speaker 1: had like left a list of things to do, you know,
• 1:00:23
  Speaker 1: at work, like a bus list of things to do
• 1:00:25
  Speaker 1: for when he got back from his like from the
• 1:00:28
  Speaker 1: bank call of the weekend. And here's here's a thing
• 1:00:32
  Speaker 1: I remember from therapy back when I was going through
• 1:00:37
  Speaker 1: some really tough times. And it's why I always have
• 1:00:38
  Speaker 1: a plan. That's why I always have something to do.
• 1:00:43
  Speaker 1: That's why I always have a future plan, because if
• 1:00:45
  Speaker 1: you have a future plan, then you've got something that
• 1:00:48
  Speaker 1: you're working towards and you're not just gonna stop because
• 1:00:53
  Speaker 1: if I if I stop, I stop anyway. So you
• 1:00:58
  Speaker 1: have something to work towards. And so making future plans
• 1:01:01
  Speaker 1: is something that's really important to keep yourself going sometimes.
• 1:01:07
  Speaker 1: And so we had like a list of tasks that
• 1:01:09
  Speaker 1: he had to to like do when he came back,
• 1:01:11
  Speaker 1: and his mom is just like he wasn't like careless
• 1:01:17
  Speaker 1: when he was like doing stuff in his lab and
• 1:01:19
  Speaker 1: he accidentally did it. And then there's another theory that
• 1:01:23
  Speaker 1: goes that he you know, ended his own life, but
• 1:01:27
  Speaker 1: did it in such a way that he wanted it
• 1:01:29
  Speaker 1: to look like an accident, is to not upset his mother.
• 1:01:34
  Speaker 1: And of course there is the theory that someone did
• 1:01:38
  Speaker 1: this to him because like when his housekeeper comes in,
• 1:01:42
  Speaker 1: like she finds him very neatly in the bed. It's
• 1:01:45
  Speaker 1: not like he'd suffocated and he was flailing from the
• 1:01:50
  Speaker 1: suffocation of the of the cyanide poisoning. But could have
• 1:01:56
  Speaker 1: he could have been laying a certain way. It could
• 1:01:57
  Speaker 1: have been, could have so many things. But there's a
• 1:02:01
  Speaker 1: theory that someone did this to him, is part of
• 1:02:06
  Speaker 1: a Cold War situation, something I don't know. It's a
• 1:02:12
  Speaker 1: flimsy it's a flimsy theory at best. His body is
• 1:02:16
  Speaker 1: found on the eighth of Gin and it is confirmed
• 1:02:22
  Speaker 1: is identified by his brother John on the ninth of Gin.
• 1:02:28
  Speaker 1: Now John, he just agrees with the inquest because he's
• 1:02:34
  Speaker 1: informed that you know, it's unlikely that they will be
• 1:02:36
  Speaker 1: able to prove it's an accident, so you may as
• 1:02:38
  Speaker 1: well just let it rest. Now, their mother, she's over
• 1:02:43
  Speaker 1: in Italy at the time, and she comes back and
• 1:02:48
  Speaker 1: she never believes like that Alan Churing ended his own life.
• 1:02:52
  Speaker 1: She just refuses to. Now John, he gets Alan Cheering's
• 1:03:01
  Speaker 1: remains and they are cremated at the Wogan Crematorium on
• 1:03:05
  Speaker 1: the twelfth of Gine nineteen fifty four, which is the
• 1:03:08
  Speaker 1: day after the inquest. Oh and for the record, by
• 1:03:13
  Speaker 1: the way, they never tested the apple for cyanide. I'm
• 1:03:15
  Speaker 1: just saying anyway. Anyway, So on the twelfth of June
• 1:03:20
  Speaker 1: nineteen fifty four, Alan Turing is cremated at the Woking
• 1:03:23
  Speaker 1: Crematorium with his mother Sarah Stony Cheering, his brother John
• 1:03:32
  Speaker 1: Ferrier Tuning, and Lynn Newman in attendance. His ashes were
• 1:03:38
  Speaker 1: scattered in the garden of the crematorium, as his fathers
• 1:03:43
  Speaker 1: were before him. And so let's skip forward, you know,
• 1:03:48
  Speaker 1: half a century, just over half a century actually, to
• 1:03:52
  Speaker 1: August two thousand and nine. We're British programmer John Graham
• 1:03:57
  Speaker 1: Cumming starts an online petition to get the Bridge government
• 1:04:00
  Speaker 1: to apologize for Alan Churing's prosecution as a homosexual. So
• 1:04:06
  Speaker 1: they get like over thirty thousand signcatures and god and Brown,
• 1:04:11
  Speaker 1: who is the Prime Minister at the time, acknowledged the
• 1:04:13
  Speaker 1: petition and released a statement in September two thousand and
• 1:04:17
  Speaker 1: nine apologizing and describing the treatment of Alan Turing as
• 1:04:21
  Speaker 1: appalling and so like this is verbatim. Thousands of people
• 1:04:26
  Speaker 1: have come together to demand justice for Alan cheering and
• 1:04:29
  Speaker 1: recognition of the appalling way which he was treated while
• 1:04:33
  Speaker 1: Cheering was dealt with under the law of the time,
• 1:04:35
  Speaker 1: and we can't put the clock back. His treatment was
• 1:04:38
  Speaker 1: of course utterly unfair, and I am pleased to have
• 1:04:41
  Speaker 1: the chance to see how deeply sorry I and we
• 1:04:44
  Speaker 1: all are for what happened to him. So on behalf
• 1:04:48
  Speaker 1: of the British government into all those who live. Really
• 1:04:51
  Speaker 1: thanks to Alan's work, I am very proud to say
• 1:04:53
  Speaker 1: we're sorry. You deserved so much better. I wanted to
• 1:04:57
  Speaker 1: be serious about that, which is why I didn't do
• 1:04:59
  Speaker 1: a void. Yes, but I think as apologies go, like
• 1:05:03
  Speaker 1: that's a fairly decent one. Go Gordon Brown, speech writers
• 1:05:07
  Speaker 1: for that one. Like that is a decent, decent apology.
• 1:05:12
  Speaker 1: Like a lot of the time they're kind of like
• 1:05:13
  Speaker 1: wishy washy or derogatory in some way. So you've got
• 1:05:17
  Speaker 1: that right. And then in twenty eleven, in December twenty eleven,
• 1:05:22
  Speaker 1: so two years after this, William Jones and a Member
• 1:05:27
  Speaker 1: of Parliament an MP, John Leech, they create another online
• 1:05:32
  Speaker 1: petition requesting that the British Government pardon Chewing posthumously for
• 1:05:37
  Speaker 1: his conviction of ghost and decency and so like, he
• 1:05:44
  Speaker 1: tries to do it and it gets shut down, and
• 1:05:47
  Speaker 1: so he just keeps submitting bills to Parliament and it
• 1:05:51
  Speaker 1: ends up bringing this really high level, like high profile
• 1:05:55
  Speaker 1: campaign to secure the pardon. He ends up pleading a
• 1:05:59
  Speaker 1: case to the House of Commons that Cheering's contribution to
• 1:06:02
  Speaker 1: the war made him a national hero and that it
• 1:06:05
  Speaker 1: was ultimately just embarrassing that the conviction still stood. And
• 1:06:08
  Speaker 1: so he goes to Parliament. He campaigns for like years
• 1:06:12
  Speaker 1: and he gets like public support from like scientists, like
• 1:06:17
  Speaker 1: even Stephen Hawking, right, and it gets introduced to the
• 1:06:22
  Speaker 1: House of Lords, gets pushed back down and they're like, well,
• 1:06:26
  Speaker 1: technically you don't do it, and like it was technically right.
• 1:06:32
  Speaker 1: And then later that same year there was a letter
• 1:06:35
  Speaker 1: to the Daily Telegraph which came from Stephen Hawking and
• 1:06:40
  Speaker 1: had like like Royal Lord Rees, the President of the
• 1:06:45
  Speaker 1: Royal Society, Sir Paul Nurse, Lady Trumpington, who worked for
• 1:06:48
  Speaker 1: Cheering during the war, Lord Sharky, like you have like
• 1:06:53
  Speaker 1: all of these people, all of these like high like
• 1:06:57
  Speaker 1: profile scientific names, right, these these profiled people, and so
• 1:07:05
  Speaker 1: you know, it calls on the Prime Minister, who at
• 1:07:07
  Speaker 1: this point is David Cammon, the man who put his
• 1:07:10
  Speaker 1: penis in a dead pig's mouth in case you're wondering
• 1:07:13
  Speaker 1: who that is, Okay and so, and they basically called
• 1:07:17
  Speaker 1: him to make the request go through, and the Government's like, okay,
• 1:07:21
  Speaker 1: we'll support that bell Okay, no, And so it goes
• 1:07:26
  Speaker 1: through to the House of Lords in October, which is
• 1:07:29
  Speaker 1: the third time it was read, and this time it
• 1:07:32
  Speaker 1: gets past. And so on the second reading of the
• 1:07:35
  Speaker 1: bill at the House of Commons in twenty thirteen, Christopher Cope,
• 1:07:38
  Speaker 1: a conservative. Are we surprised, No, we're bloody not. He
• 1:07:43
  Speaker 1: objected the bill, which ends up delaying its passage because
• 1:07:45
  Speaker 1: of course it's a fucking Tory. Fuck the Tories, And
• 1:07:49
  Speaker 1: so it goes back to the House of Commons in
• 1:07:51
  Speaker 1: February twenty fourteen, and so they have to proceed under
• 1:07:57
  Speaker 1: the royal prerogative of mercy. In December of twenty thirteen,
• 1:08:03
  Speaker 1: Christmas Eve, actually Queen Elizabeth, signs a pardon for Turing's
• 1:08:09
  Speaker 1: conviction of gross indecency with the media effect, and so
• 1:08:15
  Speaker 1: the Lord Chancellor Charles Growling announced the pardon and said
• 1:08:20
  Speaker 1: that Churing deserve to be remembered and recognized for his
• 1:08:23
  Speaker 1: fantastic contribution to the war effort, not for his later
• 1:08:27
  Speaker 1: criminal conviction, and the Queen officially pronounced this pardon in
• 1:08:33
  Speaker 1: October in August of twenty fourteen, And this was only
• 1:08:37
  Speaker 1: the fourth royal pardon granted since the conclusion of the
• 1:08:41
  Speaker 1: Second World Wars. Out of all the times a pardon
• 1:08:44
  Speaker 1: has happened, this was only the fourth time. Like, and
• 1:08:47
  Speaker 1: she ruled for a long fucking time, right, I think
• 1:08:51
  Speaker 1: she beat like Victoria when it came to ruling, Like
• 1:08:53
  Speaker 1: she was there for the long haul. See what you
• 1:08:56
  Speaker 1: wanted of the royal family, lizzienew how to stick around, right,
• 1:09:02
  Speaker 1: and so like these pardons, like they were granted people
• 1:09:06
  Speaker 1: who were technically innocent. So like, technically, under the eyes
• 1:09:09
  Speaker 1: of the law at the time, cheering was guilty. Right,
• 1:09:13
  Speaker 1: But when when you think of how the law was
• 1:09:17
  Speaker 1: really fucking stupid, right or really unjust law, like, it
• 1:09:21
  Speaker 1: makes sense. And so in September twenty sixteen, the government
• 1:09:31
  Speaker 1: announced that it intended to expand the retroactive exoneration of
• 1:09:35
  Speaker 1: other men convicted of similar historical indecency offenses and so like.
• 1:09:40
  Speaker 1: Informally it's known as the Alan cheering Law. And so basically, sorry,
• 1:09:48
  Speaker 1: my mouth can't make words right now, the Policing and
• 1:09:52
  Speaker 1: Crimnact of twenty seventeen served as an amnesty law to
• 1:09:55
  Speaker 1: retroactively pardon men who were cautioned or convicted under historical
• 1:09:58
  Speaker 1: legislation that outlawed homosexual acts. And this is like England
• 1:10:02
  Speaker 1: and Wales, and so Alan Turing is named one of
• 1:10:06
  Speaker 1: the one hundred most Influential People of the twentieth Century
• 1:10:08
  Speaker 1: by Time Magazine in nineteen ninety nine. Time Magazine has
• 1:10:12
  Speaker 1: gone a little bit downhou since then. And so yeah,
• 1:10:21
  Speaker 1: blue plaques are put all over everywhere for the centenary,
• 1:10:27
  Speaker 1: so like June twenty third to twenty twelve, so that's
• 1:10:31
  Speaker 1: like one hundred years since his birth. He has a
• 1:10:37
  Speaker 1: plaque at like King's College, there's one that is like
• 1:10:40
  Speaker 1: the house in Guildford, I believe, and like they're all
• 1:10:44
  Speaker 1: over the place, right, And they created the Turing Centenary Act,
• 1:10:50
  Speaker 1: and they worked with Cambridge Bletchley Park University of Manchester
• 1:10:55
  Speaker 1: to create a year long program of events like all
• 1:10:58
  Speaker 1: around the world honoring Touring's life and achievements. And so
• 1:11:02
  Speaker 1: there's like statues all over the place. There's actual like
• 1:11:08
  Speaker 1: there was a fifty pound note that was released in
• 1:11:11
  Speaker 1: twenty twenty one by the Bank of England and so
• 1:11:15
  Speaker 1: it's the Queen on the front and cheering on the back.
• 1:11:17
  Speaker 1: And that was the fifty pound note that was released
• 1:11:21
  Speaker 1: in twenty one to celebrate Alan Turing and what he did.
• 1:11:30
  Speaker 1: And so yeah, Alenteuring, he is a hero, and he
• 1:11:42
  Speaker 1: died too young, and he deserved to be respected and
• 1:11:47
  Speaker 1: revered and to be able to love without penalty. Again
• 1:11:52
  Speaker 1: not super cool and like the March Dezember romance, but
• 1:11:57
  Speaker 1: he deserved to live and love without fear. You know,
• 1:12:06
  Speaker 1: he deserved the option and the choice and to continue
• 1:12:12
  Speaker 1: to contribute the way he had, because who knows what
• 1:12:15
  Speaker 1: else he could have done. And he created the cheering
• 1:12:20
  Speaker 1: test and they probably Enigma code and just and I
• 1:12:28
  Speaker 1: know I have not done him justice this episode. I
• 1:12:31
  Speaker 1: know I've missed something or I've overlooked something, and he
• 1:12:38
  Speaker 1: fucking deserved better. And the thing is, even now, even now,
• 1:12:46
  Speaker 1: there were people who are being stepped on and pushed aside,
• 1:12:51
  Speaker 1: and they are losing opportunities, they are having their lives
• 1:12:56
  Speaker 1: ruined because they're LGBTQI, because they're ne're divergent, because people
• 1:13:07
  Speaker 1: would rather tear people apart and step on each other's
• 1:13:11
  Speaker 1: throats than to link Arm's I unity, and I think
• 1:13:17
  Speaker 1: we have to do better, we have to be better.
• 1:13:21
  Speaker 1: And I know I'll rant every now and again, and
• 1:13:23
  Speaker 1: I'm trying to share information in a positive way. I'm
• 1:13:27
  Speaker 1: trying to open minds and be considerate, but sometimes people
• 1:13:31
  Speaker 1: make it really fucking hard, and sometimes it just makes
• 1:13:37
  Speaker 1: me so angry, because at what point do I get
• 1:13:42
  Speaker 1: to stop repeating myself? Like when do I get to
• 1:13:45
  Speaker 1: talk about something new? You know, I say about histories
• 1:13:48
  Speaker 1: of it isn't all old. But how many times am
• 1:13:53
  Speaker 1: I going to have to explain that Jack the rippers
• 1:13:56
  Speaker 1: victims were not sex workers, that they were victims of society?
• 1:14:02
  Speaker 1: How many times am I going to have to turn
• 1:14:05
  Speaker 1: around and explain that women didn't have rights? How many
• 1:14:14
  Speaker 1: times am I going to have to explain the indentured
• 1:14:16
  Speaker 1: servitude in chattel slavery are not the same thing? Like
• 1:14:25
  Speaker 1: how do you explain to people that they should care
• 1:14:29
  Speaker 1: about other people? Like? Anyway, thank you for listening to
• 1:14:37
  Speaker 1: this episode. If you would like to wate inview five stars,
• 1:14:40
  Speaker 1: that would be amazing. If you don't want to do that,
• 1:14:42
  Speaker 1: that's fine. If you don't have been the next to say,
• 1:14:44
  Speaker 1: don't say ended at all. That being said, thank you
• 1:14:48
  Speaker 1: for listening, and it is recommendation time for watching. You're
• 1:14:51
  Speaker 1: going to watch The Blachley Circle. It has very little
• 1:14:54
  Speaker 1: touring in it, but it does have awesome women and
• 1:14:57
  Speaker 1: I feel like that's important and life. I mean, you
• 1:15:00
  Speaker 1: can also watch the Imitation Game if you want, with
• 1:15:04
  Speaker 1: Billy Boop Cucumber Snatch. You can do it if you want.
• 1:15:07
  Speaker 1: I'm not gonna stop you. I'm just saying, like to
• 1:15:09
  Speaker 1: circle because I like things that involve puzzles. For reading,
• 1:15:17
  Speaker 1: there's a book called Ruling in the Queers by Powick Carrigan.
• 1:15:21
  Speaker 1: It's tales of Ireland's LGBTQ past. If you're thinking, well,
• 1:15:26
  Speaker 1: that's a weird name for a book, it's based on
• 1:15:28
  Speaker 1: this list thing on Irish TV called Reeling na in
• 1:15:32
  Speaker 1: the Years, and it would like do a thing about
• 1:15:35
  Speaker 1: a certain year. So it's a it's a it's a
• 1:15:37
  Speaker 1: play on words and it's very good. I actually have
• 1:15:40
  Speaker 1: a copy of it myself. Read it. It's very good.
• 1:15:44
  Speaker 1: Educate yourself with LGBTQ hastory and let me see now
• 1:15:47
  Speaker 1: for lessening, you know what kindness Now, I was thinking
• 1:15:52
  Speaker 1: about kindness a minute ago, so when I was in LA,
• 1:15:58
  Speaker 1: I was staying with a friend and their housemate and
• 1:16:01
  Speaker 1: just a bunch of really cool people and we all
• 1:16:03
  Speaker 1: hung out and they were just so incredibly lovely. Now,
• 1:16:08
  Speaker 1: one of those incredibly cool people I was hanging out with.
• 1:16:10
  Speaker 1: His name is Danny Padilla d A N N Y
• 1:16:13
  Speaker 1: p A d I L l A. And so his
• 1:16:16
  Speaker 1: single was released in April, latest one called and so
• 1:16:19
  Speaker 1: it isn't Okay. So if you want to go stream
• 1:16:23
  Speaker 1: that now, please, that would be amazing. Go give pimp
• 1:16:26
  Speaker 1: some love. Okay, That's what we're gonna do. We're gonna
• 1:16:30
  Speaker 1: support each other. We're gonna be kind and considerate. And
• 1:16:33
  Speaker 1: also I ate his bagel, so I feel like I
• 1:16:35
  Speaker 1: owe him one. Sorry, Danny, I ate your bagel. I'm
• 1:16:42
  Speaker 1: actually sending like a care package over to them. Well,
• 1:16:46
  Speaker 1: by the time this is released, I will have already
• 1:16:48
  Speaker 1: sent it so full of like lovely delicious like chocolates
• 1:16:51
  Speaker 1: and teas and stuff. So anyway, anyway, I with that,
• 1:16:58
  Speaker 1: I'm gonna tell you to be awesome. You're amazing. Listen, lads,
• 1:17:04
  Speaker 1: I appreciate you, and I just think we should do
• 1:17:09
  Speaker 1: what we can to be nexter to each other. Sometimes
• 1:17:12
  Speaker 1: and I want to try and put a little bit
• 1:17:14
  Speaker 1: of positivity out in the world because I'm not very
• 1:17:16
  Speaker 1: good at it because negative bias, and I want to
• 1:17:21
  Speaker 1: just try and give something out there. So thank you
• 1:17:27
  Speaker 1: for listening. I shall bid you good night. Adios au
• 1:17:31
  Speaker 1: revoir we desn my friends. Bye bye,