1 00:00:01,320 --> 00:00:04,280 Speaker 1: Welcome to Stuff You Missed in History Class, a production 2 00:00:04,400 --> 00:00:13,960 Speaker 1: of iHeartRadio. Hello, and welcome to the podcast. I'm Holly 3 00:00:14,040 --> 00:00:17,639 Speaker 1: Frye and I'm Tracy V. Wilson. Back in June of 4 00:00:17,640 --> 00:00:20,040 Speaker 1: twenty twenty, doctor Rachel Lance was on the show to 5 00:00:20,040 --> 00:00:22,800 Speaker 1: talk about her book In the Waves, detailing the HL 6 00:00:22,880 --> 00:00:26,200 Speaker 1: Hunley disaster, and today she is back to Grace's again, 7 00:00:26,239 --> 00:00:30,600 Speaker 1: this time talking about her new book, Chamber Divers. Chamber 8 00:00:30,640 --> 00:00:33,360 Speaker 1: Divers is about World War Two and the team of 9 00:00:33,479 --> 00:00:37,360 Speaker 1: British geneticists that was tasked with solving the problem of 10 00:00:37,400 --> 00:00:41,839 Speaker 1: how to get military personnel to survive underwater. It is 11 00:00:41,880 --> 00:00:44,680 Speaker 1: a roller coaster of a story that was classified for 12 00:00:44,720 --> 00:00:48,000 Speaker 1: a very long time, so it was an absolute delight 13 00:00:48,080 --> 00:00:50,760 Speaker 1: for me to pepper her with questions about this team 14 00:00:50,800 --> 00:00:53,760 Speaker 1: of very unique and daring scientists and how their work 15 00:00:53,800 --> 00:00:58,720 Speaker 1: has informed entire fields of science. So here is that conversation, 16 00:01:00,600 --> 00:01:03,680 Speaker 1: all right. Today, I am lucky enough to be joined 17 00:01:03,680 --> 00:01:06,520 Speaker 1: by doctor Rachel Lance, who has been on the show before. 18 00:01:07,080 --> 00:01:11,200 Speaker 1: But last time Tracy got to poured you all to herself, 19 00:01:11,240 --> 00:01:12,959 Speaker 1: and now I get my chance. 20 00:01:13,440 --> 00:01:14,920 Speaker 2: We've made our purple hair connection. 21 00:01:15,120 --> 00:01:16,280 Speaker 1: We have so welcome. 22 00:01:16,560 --> 00:01:17,839 Speaker 2: Thank you for having me back. 23 00:01:17,959 --> 00:01:18,640 Speaker 1: Oh, I'm so. 24 00:01:18,840 --> 00:01:24,640 Speaker 2: Glad because you have a new and. 25 00:01:24,680 --> 00:01:29,920 Speaker 1: Quite impressive book out, Chamber Divers, which is we'll get 26 00:01:29,920 --> 00:01:32,160 Speaker 1: into it, but some of this is a very harrowing 27 00:01:32,280 --> 00:01:36,240 Speaker 1: read in the best way. But the first thing I 28 00:01:36,280 --> 00:01:39,399 Speaker 1: want to talk to you about is that, even more 29 00:01:39,440 --> 00:01:42,320 Speaker 1: than your first book, which was In the Waves, this 30 00:01:42,440 --> 00:01:46,600 Speaker 1: book seems to me knowing you a bit, to be 31 00:01:46,920 --> 00:01:50,400 Speaker 1: so deeply in your wheelhouse and sort of where you 32 00:01:50,520 --> 00:01:54,280 Speaker 1: might have been headed before you started researching the sinking 33 00:01:54,320 --> 00:01:57,040 Speaker 1: of the Hunley in the Civil War and what informed 34 00:01:57,120 --> 00:02:00,400 Speaker 1: that first book. Does this feel like the inevitable book 35 00:02:00,440 --> 00:02:01,880 Speaker 1: that you were going to eventually write. 36 00:02:03,200 --> 00:02:07,440 Speaker 2: It feels like another story that was weirdly just waiting 37 00:02:07,640 --> 00:02:10,359 Speaker 2: for me. That was how I felt with the Hunley. 38 00:02:10,520 --> 00:02:13,160 Speaker 2: I was like, who who arranged this? This feels like 39 00:02:13,200 --> 00:02:16,119 Speaker 2: a conspiracy? And I feel like this one was true too. 40 00:02:16,320 --> 00:02:19,519 Speaker 2: And what I decided is that that's what I think 41 00:02:19,560 --> 00:02:22,120 Speaker 2: makes engaging books is when people write what they know, 42 00:02:22,400 --> 00:02:24,440 Speaker 2: and they write the stories that they're the best person 43 00:02:24,520 --> 00:02:28,080 Speaker 2: to tell. And so this book came out of a 44 00:02:28,120 --> 00:02:31,280 Speaker 2: paper that I read during the course of my Honley research, 45 00:02:31,960 --> 00:02:35,560 Speaker 2: and it was this group of researchers who were doing 46 00:02:35,600 --> 00:02:40,360 Speaker 2: some stuff with carbon dioxide, And the date bothered me. 47 00:02:41,040 --> 00:02:43,880 Speaker 2: It was nineteen forty one. That it was published in 48 00:02:43,960 --> 00:02:47,760 Speaker 2: nineteen forty one, and they were in England. So in research, 49 00:02:47,919 --> 00:02:49,560 Speaker 2: papers take a long time to come out, so it 50 00:02:49,639 --> 00:02:52,560 Speaker 2: usually means that you've done the work the year before, 51 00:02:53,240 --> 00:02:55,600 Speaker 2: and that means that they were doing research on carbon 52 00:02:55,600 --> 00:02:59,120 Speaker 2: dioxide during the Blitz in nineteen forty And I could 53 00:02:59,120 --> 00:03:02,160 Speaker 2: not figure out white people who were literally being bonded 54 00:03:02,160 --> 00:03:06,440 Speaker 2: in their homes would care about carbon dioxide. It just 55 00:03:06,760 --> 00:03:10,240 Speaker 2: it seemed really irrelevant at that time period. So I 56 00:03:10,360 --> 00:03:12,519 Speaker 2: just couldn't stop thinking about it, and I kept digging 57 00:03:12,560 --> 00:03:14,800 Speaker 2: and digging, and so this was the story that I 58 00:03:14,840 --> 00:03:18,840 Speaker 2: eventually uncovered, and it was too good not to write. 59 00:03:18,960 --> 00:03:19,959 Speaker 2: It was too good. 60 00:03:20,560 --> 00:03:22,000 Speaker 1: The other thing that I want to talk to you 61 00:03:22,120 --> 00:03:24,800 Speaker 1: about a little bit is your research and writing process, 62 00:03:24,840 --> 00:03:29,960 Speaker 1: but specifically because this book, your work on it straddled 63 00:03:29,960 --> 00:03:35,040 Speaker 1: the pandemic. Some of it happened before we knew that 64 00:03:35,120 --> 00:03:37,120 Speaker 1: the world was going to fall apart for a little while, 65 00:03:37,200 --> 00:03:39,600 Speaker 1: and some of it happened after. And there are some 66 00:03:39,680 --> 00:03:43,280 Speaker 1: pretty interesting moments in the text where you include comparisons 67 00:03:43,280 --> 00:03:46,839 Speaker 1: of things like medical issues and people's behavior during World 68 00:03:46,880 --> 00:03:51,920 Speaker 1: War Two to what we have just experienced with COVID. Right, 69 00:03:52,200 --> 00:03:55,720 Speaker 1: So aside from the obvious impediments to research that came 70 00:03:55,840 --> 00:03:58,600 Speaker 1: up while we all had to sit in our homes, 71 00:03:59,000 --> 00:04:02,040 Speaker 1: how much did the Code nineteen pandemic informed the way 72 00:04:02,040 --> 00:04:06,600 Speaker 1: that you processed the information that you were researching as 73 00:04:06,640 --> 00:04:09,320 Speaker 1: you were prepping and writing Chamber divers. 74 00:04:09,840 --> 00:04:14,400 Speaker 2: It was really important to me personally because I was 75 00:04:14,440 --> 00:04:17,000 Speaker 2: a high risk person. I'm a high risk medical person, 76 00:04:17,520 --> 00:04:20,360 Speaker 2: and I had made the decision to have a really 77 00:04:20,400 --> 00:04:24,880 Speaker 2: critical knee surgery in January twenty twenty. My logic was, Okay, 78 00:04:24,920 --> 00:04:26,560 Speaker 2: I've got a head to London. I've got to do 79 00:04:26,600 --> 00:04:29,240 Speaker 2: all this research, but London is a walking city. I'll 80 00:04:29,279 --> 00:04:31,880 Speaker 2: get this knee surgery done first and then I'll be 81 00:04:31,960 --> 00:04:36,719 Speaker 2: more comfortable walking. Because that didn't work out great for me, 82 00:04:38,480 --> 00:04:42,000 Speaker 2: so I was trying to write whatever other bits and 83 00:04:42,040 --> 00:04:44,240 Speaker 2: pieces I could do. It meant that I had to 84 00:04:44,279 --> 00:04:47,040 Speaker 2: reconfigure the organization in timeline of how I wrote the 85 00:04:47,040 --> 00:04:49,800 Speaker 2: whole book, and it also meant that since someone who 86 00:04:49,839 --> 00:04:52,960 Speaker 2: is not only high risk but works at a hospital 87 00:04:53,160 --> 00:04:58,159 Speaker 2: in restratory physiology research, I was going through my personal 88 00:04:58,240 --> 00:05:01,880 Speaker 2: experiences as well. So I'm a PhD. I don't treat 89 00:05:01,960 --> 00:05:05,920 Speaker 2: medical patients. All of research was shut down, but this 90 00:05:06,040 --> 00:05:08,320 Speaker 2: is still my crew at work, right, Like, these are 91 00:05:08,360 --> 00:05:13,239 Speaker 2: still my people there, and this is a respiratory disease 92 00:05:13,320 --> 00:05:16,080 Speaker 2: and so that and at the time, I was married 93 00:05:16,080 --> 00:05:18,120 Speaker 2: to a firefighter who was doing a lot of CPR 94 00:05:18,320 --> 00:05:21,360 Speaker 2: on people with respiratory failure and coming home at the 95 00:05:21,440 --> 00:05:23,520 Speaker 2: end of that, and so that was a really big 96 00:05:23,560 --> 00:05:26,599 Speaker 2: part of my life for at least the first full year, 97 00:05:26,880 --> 00:05:30,920 Speaker 2: for sure longer than that reality. And one of the 98 00:05:31,000 --> 00:05:33,080 Speaker 2: chapters that I wrote during this because I could do 99 00:05:33,120 --> 00:05:35,839 Speaker 2: a lot of the research using digitized sources, was the 100 00:05:35,839 --> 00:05:39,960 Speaker 2: BLOODZ chapter. That chapter, which I believe is chapter five. 101 00:05:40,000 --> 00:05:42,520 Speaker 2: It might have gotten renumbered, but it kind of became 102 00:05:42,560 --> 00:05:44,680 Speaker 2: a form of therapy for me as I was writing it. 103 00:05:45,120 --> 00:05:47,240 Speaker 2: There was a lot that got caught out of there 104 00:05:47,600 --> 00:05:51,120 Speaker 2: because I would read all these diaries where people were 105 00:05:51,240 --> 00:05:54,479 Speaker 2: acting exactly like they were in the pandemic, and I 106 00:05:54,640 --> 00:05:58,160 Speaker 2: was just sitting there like, oh my god, there's nothing 107 00:05:58,200 --> 00:06:00,680 Speaker 2: we could do. There's nothing we could do to inform 108 00:06:00,760 --> 00:06:03,960 Speaker 2: people and like educate them properly in a way that 109 00:06:04,000 --> 00:06:06,760 Speaker 2: everyone is feeling comfortable with the actions we need to 110 00:06:06,800 --> 00:06:11,400 Speaker 2: take together, and it really hammered home for me in 111 00:06:11,760 --> 00:06:16,200 Speaker 2: kind of a depressing way how much we're restricted by 112 00:06:16,240 --> 00:06:18,840 Speaker 2: our nature and the weans where our brains process information. 113 00:06:19,920 --> 00:06:20,160 Speaker 1: Yeah. 114 00:06:20,160 --> 00:06:21,640 Speaker 2: So, like I said, a lot of that ended up 115 00:06:21,680 --> 00:06:24,599 Speaker 2: getting cut out, but writing it and at least putting 116 00:06:24,680 --> 00:06:27,680 Speaker 2: it down was a big way that I was processing 117 00:06:27,720 --> 00:06:29,360 Speaker 2: what was happening in our world at the time. 118 00:06:30,000 --> 00:06:32,640 Speaker 1: Yeah. I was so struck by the segments in that 119 00:06:32,720 --> 00:06:35,080 Speaker 1: chapter where you're talking about how people living outside of 120 00:06:35,120 --> 00:06:37,960 Speaker 1: London are sort of like la la la la la. 121 00:06:37,960 --> 00:06:41,800 Speaker 1: It feels very distant to them, right that their countrymen 122 00:06:41,960 --> 00:06:47,120 Speaker 1: are literally living through hell and the people leaving London 123 00:06:47,279 --> 00:06:50,960 Speaker 1: for respite are like almost in a different flavor of 124 00:06:51,680 --> 00:06:54,640 Speaker 1: like cultural shell shock because no one understands where they're 125 00:06:54,640 --> 00:06:57,719 Speaker 1: at mentally. That to me was super fascinating. 126 00:06:57,520 --> 00:07:00,000 Speaker 2: That I absolutely that's exactly why I put that in there. 127 00:07:00,000 --> 00:07:02,400 Speaker 2: I'm glad you picked up on that, because that was 128 00:07:02,440 --> 00:07:06,120 Speaker 2: the experience that I was having, even with some family members, 129 00:07:06,520 --> 00:07:11,480 Speaker 2: where they were living a life that felt completely disconnected 130 00:07:11,480 --> 00:07:15,160 Speaker 2: from what was happening, and that made it easier for 131 00:07:15,320 --> 00:07:20,880 Speaker 2: them to fail to process the severity of what the 132 00:07:20,880 --> 00:07:24,640 Speaker 2: rest of us were going through so wild. Yeah, it's 133 00:07:24,720 --> 00:07:27,400 Speaker 2: really interesting how many parallels there were. I went through 134 00:07:27,480 --> 00:07:30,080 Speaker 2: a lot of diaries for that chapter, a lot of 135 00:07:30,080 --> 00:07:30,960 Speaker 2: Blitz diaries. 136 00:07:31,160 --> 00:07:34,560 Speaker 1: Yeah. So this is also an interesting tale because it 137 00:07:34,560 --> 00:07:37,800 Speaker 1: involves a lot of information that was classified for a 138 00:07:37,880 --> 00:07:41,120 Speaker 1: very long time. Yes, so you mentioned that it came 139 00:07:41,120 --> 00:07:44,440 Speaker 1: to your attention because you read a paper, But how 140 00:07:44,480 --> 00:07:47,320 Speaker 1: did you actually get to the point where you were 141 00:07:47,320 --> 00:07:51,360 Speaker 1: getting the real information you needed to put this story together? Like, 142 00:07:51,560 --> 00:07:56,240 Speaker 1: at what point were you like, is this hidden information? 143 00:07:57,360 --> 00:07:58,160 Speaker 1: Can I have this? 144 00:07:59,520 --> 00:08:02,640 Speaker 2: That's you kind of just have to play stupid with 145 00:08:02,720 --> 00:08:08,720 Speaker 2: the government. That's the best way you kinda have to No, 146 00:08:08,800 --> 00:08:10,840 Speaker 2: it's exactly like you said, you kinda just have to 147 00:08:10,880 --> 00:08:13,360 Speaker 2: be like can I have it? If they'll give it 148 00:08:13,400 --> 00:08:16,640 Speaker 2: to you, they'll give it to you. So classified documents, 149 00:08:16,680 --> 00:08:19,240 Speaker 2: you're either going to get everything you want with no fight, 150 00:08:19,840 --> 00:08:22,920 Speaker 2: or there is no negotiation and you will never see it. 151 00:08:23,080 --> 00:08:27,240 Speaker 2: Those are the two extremes. So with these sense that 152 00:08:27,360 --> 00:08:29,800 Speaker 2: relates to World War Two, what these researchers were working 153 00:08:29,840 --> 00:08:32,760 Speaker 2: on ultimately ended up being the landings at D Day. 154 00:08:33,600 --> 00:08:35,640 Speaker 2: The landings at D Day were highly classified for a 155 00:08:35,679 --> 00:08:38,920 Speaker 2: really long time, even after they were successful, because the 156 00:08:38,960 --> 00:08:42,760 Speaker 2: techniques that were developed were so new. So what had 157 00:08:42,760 --> 00:08:45,600 Speaker 2: to happen in order for these documents to be declassified 158 00:08:46,120 --> 00:08:48,960 Speaker 2: is the governments involved. The governments of all the Allied 159 00:08:49,000 --> 00:08:52,160 Speaker 2: countries had to go through and be like, yes, we 160 00:08:52,400 --> 00:08:55,360 Speaker 2: the public knowledge. This is public knowledge. It's public knowledge 161 00:08:55,360 --> 00:08:58,520 Speaker 2: that we do this. So it not only had to 162 00:08:58,559 --> 00:09:01,840 Speaker 2: be no longer relevant to the landings themselves, but it 163 00:09:01,920 --> 00:09:05,160 Speaker 2: had to be that the techniques that had been created 164 00:09:05,320 --> 00:09:11,800 Speaker 2: specifically for D Day were now considered public information. Gotcha, 165 00:09:12,559 --> 00:09:16,720 Speaker 2: a lot of those had not been declassified by the 166 00:09:16,760 --> 00:09:21,199 Speaker 2: British until the late nineteen seventies. In America, some women 167 00:09:21,320 --> 00:09:25,280 Speaker 2: were classified until the early two thousands, and then there 168 00:09:25,320 --> 00:09:28,000 Speaker 2: were others still that I had to request the release for, 169 00:09:28,679 --> 00:09:31,480 Speaker 2: and I had to when I requested them, I sort 170 00:09:31,480 --> 00:09:33,800 Speaker 2: of made the argument of like, everyone knows you're doing 171 00:09:33,840 --> 00:09:39,000 Speaker 2: this anyway, But also there's a guessing game involved as 172 00:09:39,000 --> 00:09:42,360 Speaker 2: well because it's classified, so you can't justify why you 173 00:09:42,440 --> 00:09:44,720 Speaker 2: need the thing because you can't read the thing in 174 00:09:44,800 --> 00:09:47,720 Speaker 2: order to know that it says what you needed to say, 175 00:09:47,840 --> 00:09:51,160 Speaker 2: so you kind of you kind of have to play 176 00:09:51,160 --> 00:09:53,920 Speaker 2: this game where you're like, this is just titled report 177 00:09:54,160 --> 00:09:57,839 Speaker 2: nineteen forty three. Might it contain the solution to all 178 00:09:57,880 --> 00:10:00,000 Speaker 2: of my problems? I don't know what I'm going to 179 00:10:00,120 --> 00:10:03,440 Speaker 2: try and rate it, and so a lot of this 180 00:10:03,679 --> 00:10:07,480 Speaker 2: is a brute force method. There's very much this brute 181 00:10:07,480 --> 00:10:13,920 Speaker 2: force methodology of setting aside hours, days, preferably a couple 182 00:10:13,920 --> 00:10:19,280 Speaker 2: of weeks for each archive, and then just committing yourself 183 00:10:19,360 --> 00:10:21,040 Speaker 2: to the fact that you live there for a little 184 00:10:21,040 --> 00:10:25,600 Speaker 2: while and may not may not. Yeah, Like, I get 185 00:10:25,679 --> 00:10:28,559 Speaker 2: so invested in these documents when I'm finally able to 186 00:10:28,640 --> 00:10:31,240 Speaker 2: access them because they're all physical, they're not these are 187 00:10:31,280 --> 00:10:35,080 Speaker 2: not digitized, that I'm like actively annoyed by my need 188 00:10:35,160 --> 00:10:37,839 Speaker 2: to use the restrooms, just like damn it, lad or 189 00:10:37,920 --> 00:10:42,240 Speaker 2: not again. So yeah, and then you got to just 190 00:10:42,360 --> 00:10:44,280 Speaker 2: power through. That's what that process looks like. 191 00:10:44,520 --> 00:10:48,079 Speaker 1: So what is the hit rate? Like how what percentage 192 00:10:48,200 --> 00:10:50,280 Speaker 1: of stuff are you? Like this actually is not relevant 193 00:10:50,320 --> 00:10:53,920 Speaker 1: to my deal at all, versus the amount where you're like, Eureka, 194 00:10:54,240 --> 00:10:55,439 Speaker 1: I've got something really cool. 195 00:10:56,760 --> 00:10:59,839 Speaker 2: I do have an archives dance. It's very quiet, and 196 00:11:00,760 --> 00:11:04,240 Speaker 2: so I don't get kicked out that I do it. 197 00:11:04,800 --> 00:11:08,600 Speaker 2: The hit rate is pretty low. But what's interesting is 198 00:11:08,640 --> 00:11:11,760 Speaker 2: that the best jewels are the ones you don't expect 199 00:11:11,800 --> 00:11:14,600 Speaker 2: to find. The best jewels are the ones where you 200 00:11:14,640 --> 00:11:17,640 Speaker 2: go in and you're saying, Okay, I don't know exactly 201 00:11:17,720 --> 00:11:20,120 Speaker 2: what this story is. And that's very much how Chamber 202 00:11:20,160 --> 00:11:23,000 Speaker 2: Divers came together. It started with that on paper, and 203 00:11:23,040 --> 00:11:25,319 Speaker 2: I was like, I don't know what this story is, 204 00:11:25,400 --> 00:11:29,880 Speaker 2: but something was going on, and so I created. What 205 00:11:29,920 --> 00:11:32,920 Speaker 2: I do is I create a master timeline document. So 206 00:11:32,960 --> 00:11:35,160 Speaker 2: by the end of writing this book, my master timeline 207 00:11:35,200 --> 00:11:38,719 Speaker 2: document was over eighty pages long. And as I'm doing that, 208 00:11:38,800 --> 00:11:41,960 Speaker 2: I kind of just fill in the key events as 209 00:11:42,000 --> 00:11:44,760 Speaker 2: I'm finding them. Because when you're reading these papers, you're 210 00:11:44,760 --> 00:11:47,720 Speaker 2: also not necessarily getting them in chronological order, right. You 211 00:11:47,760 --> 00:11:49,280 Speaker 2: don't know what you're going to find when you ask 212 00:11:49,320 --> 00:11:52,040 Speaker 2: for it. So I create this document and I keep 213 00:11:52,120 --> 00:11:55,000 Speaker 2: citations to where I found each fact and what data 214 00:11:55,080 --> 00:11:58,079 Speaker 2: occurred on and by the end, I've got the story. 215 00:11:58,600 --> 00:12:02,080 Speaker 2: And so the hit rate seems like it's really low, 216 00:12:02,280 --> 00:12:05,840 Speaker 2: but there's a high rate of finding things that are 217 00:12:05,920 --> 00:12:09,200 Speaker 2: really cool that you don't expect, like the admission that 218 00:12:09,240 --> 00:12:11,320 Speaker 2: the divers used to just pee in their suits because 219 00:12:11,320 --> 00:12:14,080 Speaker 2: they found them annoying to take off. I was like yeah. 220 00:12:14,080 --> 00:12:17,319 Speaker 2: I was like, yeah, this is a book, so. 221 00:12:27,040 --> 00:12:29,400 Speaker 1: This is so fascinating to me. But I want to 222 00:12:29,400 --> 00:12:33,240 Speaker 1: get to the actual meat of the book and what 223 00:12:33,280 --> 00:12:37,360 Speaker 1: it contains. Because you open with a very detailed description 224 00:12:37,720 --> 00:12:40,840 Speaker 1: of what we now know today as Operation Jubilee, which 225 00:12:40,880 --> 00:12:43,120 Speaker 1: is the landing at Diepp that took place in nineteen 226 00:12:43,160 --> 00:12:46,120 Speaker 1: forty two. Will you talk a little bit about why 227 00:12:46,400 --> 00:12:49,520 Speaker 1: that event is so important to setting up the story 228 00:12:49,600 --> 00:12:50,880 Speaker 1: of the Chamber Divers. 229 00:12:52,120 --> 00:12:55,320 Speaker 2: I wanted to start with that event because I think 230 00:12:55,400 --> 00:13:00,160 Speaker 2: we tend to focus on D Day without necessarily looking 231 00:13:00,200 --> 00:13:02,800 Speaker 2: at the planning that went into it. We talk a 232 00:13:02,800 --> 00:13:05,319 Speaker 2: lot about Omaha Beach, what went wrong on Omaha Beach, 233 00:13:05,400 --> 00:13:08,520 Speaker 2: and we do a good job as a society of 234 00:13:08,720 --> 00:13:12,200 Speaker 2: honoring those who gave up their lives. What I really 235 00:13:12,240 --> 00:13:15,040 Speaker 2: wanted to do with this book was tell the story 236 00:13:15,280 --> 00:13:20,240 Speaker 2: of what went right and how lives were saved, and 237 00:13:20,360 --> 00:13:24,640 Speaker 2: so the information to do that requires first setting up 238 00:13:24,720 --> 00:13:27,760 Speaker 2: what happens if there isn't planning, What happens if there 239 00:13:27,840 --> 00:13:30,600 Speaker 2: isn't beach scouting, What happens if we don't know how 240 00:13:30,640 --> 00:13:32,920 Speaker 2: to send divers, which is what the Chamber Divers were 241 00:13:32,960 --> 00:13:35,720 Speaker 2: eventually working on. So I wanted to start with DP 242 00:13:35,720 --> 00:13:38,920 Speaker 2: in nineteen forty two because that was an example of 243 00:13:38,960 --> 00:13:44,439 Speaker 2: a kind of comparable beach landing to Normandy, and it 244 00:13:44,520 --> 00:13:47,640 Speaker 2: was one where they didn't have these scouting methods in advance. 245 00:13:47,720 --> 00:13:49,880 Speaker 2: They didn't have these tools like the mini subs and 246 00:13:49,920 --> 00:13:53,520 Speaker 2: the rebreathers that these experimentalists were working on, and it 247 00:13:53,600 --> 00:13:57,599 Speaker 2: was an absolute bloodbath. On Blue Beach alone, which is 248 00:13:57,640 --> 00:14:00,920 Speaker 2: one of the beaches. The casualty rates were at ninety 249 00:14:00,960 --> 00:14:05,600 Speaker 2: seven percent, so basically no one made it off that beach, 250 00:14:06,400 --> 00:14:10,560 Speaker 2: and that was a direct result of the lack of 251 00:14:10,600 --> 00:14:14,120 Speaker 2: advanced information. So I wanted to use that. The book 252 00:14:14,160 --> 00:14:16,720 Speaker 2: starts with DAP and it ends with dday, and the 253 00:14:16,760 --> 00:14:19,760 Speaker 2: goal there was to kind of bracket this lack of 254 00:14:19,920 --> 00:14:24,160 Speaker 2: planning and lack of detailed scouting information versus what can 255 00:14:24,240 --> 00:14:27,360 Speaker 2: happen when you have that, when you've done your scientific 256 00:14:27,400 --> 00:14:28,320 Speaker 2: background research. 257 00:14:29,280 --> 00:14:32,000 Speaker 1: Then the book jumps back in time a little bit 258 00:14:32,080 --> 00:14:35,400 Speaker 1: because you start to introduce your cast of characters that 259 00:14:35,440 --> 00:14:39,200 Speaker 1: emerged throughout the early chapters, which is like, I really 260 00:14:39,720 --> 00:14:41,480 Speaker 1: want this to be made into a movie just so 261 00:14:41,520 --> 00:14:44,600 Speaker 1: that I can see the Ocean's eleven style accumulation of 262 00:14:45,960 --> 00:14:51,200 Speaker 1: brains and really eccentric characters, et cetera. And I know 263 00:14:51,240 --> 00:14:54,600 Speaker 1: that you have also said in interviews and even on 264 00:14:54,640 --> 00:14:56,880 Speaker 1: our show when we had you on before that when 265 00:14:56,920 --> 00:14:59,640 Speaker 1: people talk about any kind of scientific or research work, 266 00:14:59,720 --> 00:15:03,560 Speaker 1: there is always a team, and this team was really extraordinary. 267 00:15:03,680 --> 00:15:06,360 Speaker 1: Will you talk a little bit about some of the 268 00:15:06,400 --> 00:15:12,400 Speaker 1: members of this incredible pros and cons great team of people. 269 00:15:13,200 --> 00:15:15,520 Speaker 2: Yes, pros and cons. That's a good way to put it. 270 00:15:16,160 --> 00:15:17,760 Speaker 2: I think the way you're referring to is the fact 271 00:15:17,760 --> 00:15:20,200 Speaker 2: that I just tried to be really honest about everyone. 272 00:15:20,440 --> 00:15:23,720 Speaker 2: We're entering a new age of history where we're no 273 00:15:23,800 --> 00:15:26,800 Speaker 2: longer just looking at people as like bronze figures up 274 00:15:26,800 --> 00:15:29,600 Speaker 2: on weird horse statues. We're trying to like talk about 275 00:15:29,600 --> 00:15:33,040 Speaker 2: people as more complete human beings. And none of us 276 00:15:33,040 --> 00:15:38,440 Speaker 2: are perfect, ourselves ourselves included, but like so I wanted 277 00:15:38,480 --> 00:15:41,920 Speaker 2: to present these characters as like complete and well rounded, 278 00:15:42,960 --> 00:15:44,040 Speaker 2: including their flaws. 279 00:15:44,120 --> 00:15:44,440 Speaker 1: People. 280 00:15:45,000 --> 00:15:47,480 Speaker 2: So, one of my favorite people in the book is 281 00:15:47,520 --> 00:15:53,000 Speaker 2: this woman, doctor Helen Spurway, and she was this known 282 00:15:53,080 --> 00:15:57,320 Speaker 2: for being socially awkward PhD geneticist who really loved nuts 283 00:15:57,400 --> 00:16:01,080 Speaker 2: and salamanders, and so she she shows up to class 284 00:16:01,080 --> 00:16:03,800 Speaker 2: on the first day at University College London, and she 285 00:16:03,880 --> 00:16:06,120 Speaker 2: just like casually announces to everyone that she's going to 286 00:16:06,160 --> 00:16:08,760 Speaker 2: marry the professor, who, by the way, is already married. 287 00:16:08,840 --> 00:16:11,880 Speaker 2: So this is a daring. This is not the way 288 00:16:11,960 --> 00:16:17,760 Speaker 2: to make friends. But the room read the room palette exactly. 289 00:16:18,400 --> 00:16:21,120 Speaker 2: She turns out to be like a really good scientist. 290 00:16:21,200 --> 00:16:25,000 Speaker 2: This woman can do anything with statistics and math. And 291 00:16:25,080 --> 00:16:29,320 Speaker 2: she's also like so invested in using statistics and math 292 00:16:29,400 --> 00:16:32,960 Speaker 2: attracting genetics that she'll just like go up to random 293 00:16:32,960 --> 00:16:36,120 Speaker 2: people's houses if they have a pawn in their backyard 294 00:16:36,160 --> 00:16:38,360 Speaker 2: and knock on their door and be like, Hi, my 295 00:16:38,480 --> 00:16:41,200 Speaker 2: names Helen. Can I look in your pond for salamanders? 296 00:16:41,320 --> 00:16:44,960 Speaker 2: And like this is how she got her data. She 297 00:16:45,040 --> 00:16:49,200 Speaker 2: was she was tracking the characteristics of salamander's and newts 298 00:16:49,280 --> 00:16:52,160 Speaker 2: across her area of England. And this is her academic 299 00:16:52,200 --> 00:16:55,400 Speaker 2: papers because that is actually how genetics was studied at 300 00:16:55,440 --> 00:16:58,320 Speaker 2: the time. So this is a group of people who, 301 00:16:58,360 --> 00:17:03,640 Speaker 2: because of their field, are inherently used to bucking a 302 00:17:03,720 --> 00:17:08,919 Speaker 2: little bit of authority. They're used to being considered a 303 00:17:09,000 --> 00:17:11,800 Speaker 2: little bit odd. And I use that word lovingly because 304 00:17:11,840 --> 00:17:16,360 Speaker 2: I myself as a minorly odd scientist. So and then 305 00:17:16,359 --> 00:17:19,480 Speaker 2: you also have a lot of them who came over 306 00:17:19,560 --> 00:17:24,600 Speaker 2: from Germany. Ye the lad leader JBS how Dane. He 307 00:17:24,680 --> 00:17:28,679 Speaker 2: is an ancestrally wealthy, privileged white man, but because he 308 00:17:28,720 --> 00:17:31,600 Speaker 2: went through a lot of extreme bullying when he was younger, 309 00:17:31,720 --> 00:17:35,159 Speaker 2: he always considers himself kind of an underdog, and he 310 00:17:35,320 --> 00:17:40,280 Speaker 2: always fights for other underdogs, and he he has this 311 00:17:40,359 --> 00:17:44,240 Speaker 2: incredible temper that he becomes infamous for. But he's also 312 00:17:44,440 --> 00:17:47,119 Speaker 2: just sitting there like, why is racism a thing? This 313 00:17:47,160 --> 00:17:50,480 Speaker 2: doesn't make any sense. It's just genetic variation and skin pigment. 314 00:17:50,880 --> 00:17:56,240 Speaker 2: So like, he's got this mixture of being incredibly egalitarian 315 00:17:56,800 --> 00:17:59,800 Speaker 2: that I think is to his credit. And so when 316 00:18:00,000 --> 00:18:02,960 Speaker 2: refugee start coming out of Germany, he starts saying like, 317 00:18:03,000 --> 00:18:04,920 Speaker 2: oh my gosh, I'm gonna fund as many as possible. 318 00:18:05,080 --> 00:18:08,360 Speaker 2: This is dumb Judaism is not a genetic flaw. This 319 00:18:08,400 --> 00:18:11,840 Speaker 2: doesn't make scientific sense. So he starts trying to fund them, 320 00:18:11,880 --> 00:18:15,240 Speaker 2: and that becomes a huge component of his lab. One 321 00:18:15,280 --> 00:18:17,800 Speaker 2: of the other people that I really loved was Ursula Philip. 322 00:18:18,720 --> 00:18:20,840 Speaker 2: I related to her because one of the first things 323 00:18:20,880 --> 00:18:23,679 Speaker 2: that her daughter told me when I interviewed her, is 324 00:18:23,720 --> 00:18:26,199 Speaker 2: that she STI always spilled food on herself and I 325 00:18:26,320 --> 00:18:27,480 Speaker 2: was like, me too. 326 00:18:28,160 --> 00:18:31,560 Speaker 1: Yeah, me too, I see you girl. 327 00:18:32,760 --> 00:18:38,040 Speaker 2: So yeah, she was also spectacular geneticist, ends up being 328 00:18:38,080 --> 00:18:41,680 Speaker 2: a key part of this research, puts herself in these experiments, 329 00:18:41,880 --> 00:18:45,360 Speaker 2: puts herself at incredible risk for this country where she's 330 00:18:45,359 --> 00:18:46,040 Speaker 2: a refugee. 331 00:18:47,200 --> 00:18:50,679 Speaker 1: I love it. Listen later on maybe offline, we can 332 00:18:50,720 --> 00:18:53,200 Speaker 1: talk about how Martin Case is my new history crush. 333 00:18:53,240 --> 00:18:54,280 Speaker 1: But that's a different matter. 334 00:18:55,080 --> 00:18:57,280 Speaker 2: Ah, you'll have to fight me for him. 335 00:18:57,520 --> 00:19:00,159 Speaker 1: I mean, he's so my flavor. He's a little bit wacky, 336 00:19:01,280 --> 00:19:05,720 Speaker 1: devil may care, cute as pie, super smart, come on 337 00:19:06,040 --> 00:19:06,440 Speaker 1: the dream. 338 00:19:06,480 --> 00:19:09,280 Speaker 2: Oh my gosh. I interviewed his niece, and the first 339 00:19:09,280 --> 00:19:12,639 Speaker 2: time I interviewed his niece on the zoom because England 340 00:19:12,720 --> 00:19:15,800 Speaker 2: is six hours ahead. She just like chimes in and 341 00:19:15,840 --> 00:19:18,280 Speaker 2: then raises up her cocktail. I was like, oh. 342 00:19:18,200 --> 00:19:19,560 Speaker 1: God, it's. 343 00:19:22,000 --> 00:19:24,640 Speaker 2: Yeah, oh yeah. 344 00:19:24,680 --> 00:19:26,480 Speaker 1: Because there's a lot of drinking in this book as well. 345 00:19:26,520 --> 00:19:31,160 Speaker 1: But I'm glad that you mentioned the sort of egalitarian 346 00:19:31,200 --> 00:19:35,639 Speaker 1: approach to bringing on team members, particularly people that had fled, 347 00:19:35,680 --> 00:19:38,000 Speaker 1: because you mentioned in the book that several of these 348 00:19:38,040 --> 00:19:41,600 Speaker 1: scientists were people that were eventually going to be targeted 349 00:19:41,720 --> 00:19:44,560 Speaker 1: if they weren't already when they left, you know. And 350 00:19:44,680 --> 00:19:47,160 Speaker 1: this is of course when the eugenics movement has its 351 00:19:47,200 --> 00:19:50,680 Speaker 1: own balloon of support. 352 00:19:51,680 --> 00:19:52,640 Speaker 2: Dark festivities. 353 00:19:52,840 --> 00:19:55,760 Speaker 1: Right. There's also a great moment where you're talking about 354 00:19:55,840 --> 00:19:59,720 Speaker 1: Ursula and sort of the legend of her fleeing Germany 355 00:20:00,040 --> 00:20:04,639 Speaker 1: versus the reality not really quite so dramatic. So one, 356 00:20:04,840 --> 00:20:06,960 Speaker 1: I would love for you to talk about that correction 357 00:20:07,040 --> 00:20:10,360 Speaker 1: in particular because it's so charming to me. And two, 358 00:20:10,680 --> 00:20:13,080 Speaker 1: I also like would love to hear more about kind 359 00:20:13,119 --> 00:20:17,480 Speaker 1: of the outsider's status, even in Britain where that's theoretically 360 00:20:17,520 --> 00:20:21,720 Speaker 1: not playing out, but it is impacting how they're accepted 361 00:20:21,760 --> 00:20:22,760 Speaker 1: and how they're perceived. 362 00:20:24,000 --> 00:20:26,879 Speaker 2: Oh gosh, yeah again, Ursula, I just want to be 363 00:20:26,880 --> 00:20:30,960 Speaker 2: her friend. There's very there. Before this book, there is 364 00:20:31,080 --> 00:20:34,680 Speaker 2: very little note about her. She wasn't given credit for 365 00:20:34,720 --> 00:20:37,199 Speaker 2: a lot of her achievements. A lot of what she 366 00:20:37,240 --> 00:20:40,600 Speaker 2: had achieved in Germany before she fled was then destroyed 367 00:20:40,600 --> 00:20:42,640 Speaker 2: and tried to cover by the Nazis because they didn't 368 00:20:42,720 --> 00:20:46,720 Speaker 2: like that a woman did it. Not great inequality those Nazis, 369 00:20:46,840 --> 00:20:50,320 Speaker 2: And so one of the stories about her that has 370 00:20:50,400 --> 00:20:55,560 Speaker 2: been repeated in secondary tertiary sources, is that she graduated 371 00:20:55,640 --> 00:21:00,440 Speaker 2: and defended her PhD and then had to flee like imediately, 372 00:21:00,840 --> 00:21:05,119 Speaker 2: as in, she basically defended her PhD on the run 373 00:21:05,160 --> 00:21:06,760 Speaker 2: and then had to flee, and she didn't get a 374 00:21:06,840 --> 00:21:09,920 Speaker 2: chance to get her physical doctorate paper, which, of course 375 00:21:09,960 --> 00:21:12,480 Speaker 2: in the nineteen thirties is a lot more important because 376 00:21:12,480 --> 00:21:14,560 Speaker 2: there's no digital verification of degrees. 377 00:21:14,640 --> 00:21:14,800 Speaker 1: Right. 378 00:21:15,280 --> 00:21:18,400 Speaker 2: So I tried to track this. I tried to track 379 00:21:18,440 --> 00:21:20,960 Speaker 2: this back to its original source, and I couldn't find it. 380 00:21:21,000 --> 00:21:22,440 Speaker 2: So when I was talking to her daughter, I kind 381 00:21:22,440 --> 00:21:24,520 Speaker 2: of bring this out and her daughter just starts laughing. 382 00:21:24,640 --> 00:21:28,240 Speaker 2: She goes, that wasn't true. I was like, what really happened? 383 00:21:28,640 --> 00:21:33,919 Speaker 2: She goes, she forgot it again, girl, I see you. 384 00:21:34,440 --> 00:21:37,200 Speaker 2: This is what I relate to you so hard. 385 00:21:38,200 --> 00:21:39,159 Speaker 1: It's super important. 386 00:21:40,960 --> 00:21:46,320 Speaker 2: Happened spectacular in science, not amazing at life logistics, and 387 00:21:46,920 --> 00:21:50,840 Speaker 2: this is me. This is so I really wanted to 388 00:21:50,920 --> 00:21:53,919 Speaker 2: include that as another example, right, Like we don't have 389 00:21:53,960 --> 00:21:57,080 Speaker 2: to talk about people as if they're perfect, shiny emblems. 390 00:21:57,600 --> 00:22:00,159 Speaker 2: We can talk about people as if they're realistic, and 391 00:22:00,160 --> 00:22:03,080 Speaker 2: that also makes science more accessible in my opinion. If 392 00:22:03,080 --> 00:22:06,320 Speaker 2: you're someone who Yeah, in your regular life, you occasionally 393 00:22:06,400 --> 00:22:09,800 Speaker 2: leave your doctorate behind because you've forgotten it, like you 394 00:22:09,840 --> 00:22:14,000 Speaker 2: could still be amazing at science. So when Ursula Philip 395 00:22:14,160 --> 00:22:18,000 Speaker 2: and the other Jewish refugee scientists came over, the two 396 00:22:18,080 --> 00:22:21,520 Speaker 2: of whom who are in the book are Hans Kamus 397 00:22:21,640 --> 00:22:25,920 Speaker 2: and Hans Gruneberg, they came over to this UCL lab. 398 00:22:26,440 --> 00:22:29,440 Speaker 2: They were given refuge there, and they were given a salary, 399 00:22:29,560 --> 00:22:31,840 Speaker 2: and their families were brought over. So all of them 400 00:22:31,880 --> 00:22:34,679 Speaker 2: were saved, and most of their relatives ended up being 401 00:22:34,760 --> 00:22:38,240 Speaker 2: murdered in the Holocaust. So they were very clearly saved 402 00:22:38,280 --> 00:22:43,119 Speaker 2: by this, and they were experiencing this in a lab 403 00:22:43,160 --> 00:22:46,840 Speaker 2: where within the internal lab walls they seem to have 404 00:22:46,840 --> 00:22:49,080 Speaker 2: been treated as equals, at least as far as I 405 00:22:49,080 --> 00:22:52,440 Speaker 2: can tell, and their communications from the time period are 406 00:22:52,560 --> 00:22:55,440 Speaker 2: very honest, so they seem to have been treated as equals. 407 00:22:55,880 --> 00:22:58,960 Speaker 2: But outside the rest of the world was still kind 408 00:22:59,000 --> 00:23:02,199 Speaker 2: of brewing with anti Semitism. One of the things I 409 00:23:02,240 --> 00:23:04,600 Speaker 2: really tried to do when I wrote this book was 410 00:23:04,640 --> 00:23:08,560 Speaker 2: to give every action a context, because I think that's 411 00:23:09,080 --> 00:23:11,640 Speaker 2: the true story of science. It's why did people work 412 00:23:11,640 --> 00:23:11,879 Speaker 2: on this? 413 00:23:11,960 --> 00:23:12,160 Speaker 1: Now? 414 00:23:12,240 --> 00:23:14,239 Speaker 2: Why did people care about this? Now what was it 415 00:23:14,280 --> 00:23:18,000 Speaker 2: like for the individuals doing it, And so I dedicated 416 00:23:18,040 --> 00:23:20,000 Speaker 2: some time in one of the earlier chapters to after 417 00:23:20,040 --> 00:23:23,080 Speaker 2: they come through and they're in London, there are riots 418 00:23:23,080 --> 00:23:26,280 Speaker 2: in this street. There were literal physical riots in the 419 00:23:26,320 --> 00:23:33,480 Speaker 2: streets of London outside the campus walls over judaism, communism, fascism, 420 00:23:33,680 --> 00:23:36,520 Speaker 2: kind of all of these ideas that we know in 421 00:23:36,560 --> 00:23:39,640 Speaker 2: a couple of years will turn into literal war. During 422 00:23:39,640 --> 00:23:42,199 Speaker 2: World War two, and so they were kind of in 423 00:23:42,280 --> 00:23:45,399 Speaker 2: this little bubble where they'd been getting an opportunity to 424 00:23:45,440 --> 00:23:50,000 Speaker 2: get out of the most extreme anti semitism, but we're 425 00:23:50,040 --> 00:23:52,280 Speaker 2: still in a context where they were fighting for a 426 00:23:52,280 --> 00:23:54,760 Speaker 2: country where there were layers of discrimination. 427 00:23:55,920 --> 00:23:58,040 Speaker 1: This makes it so fascinating because they go through so 428 00:23:58,160 --> 00:24:03,359 Speaker 1: much in the service of creating this really doing all 429 00:24:03,440 --> 00:24:06,240 Speaker 1: this research on this project and creating solutions to problems 430 00:24:06,240 --> 00:24:08,880 Speaker 1: that help everyone, even though everyone has not been cool 431 00:24:08,880 --> 00:24:13,280 Speaker 1: to them. One of the sort of two of the 432 00:24:13,320 --> 00:24:15,320 Speaker 1: things that you mentioned early on as the top of 433 00:24:15,359 --> 00:24:18,840 Speaker 1: those lists of problems that this assembled team worked on 434 00:24:19,400 --> 00:24:23,560 Speaker 1: were carbon dioxide and decompression sickness. And one of the 435 00:24:23,560 --> 00:24:25,520 Speaker 1: things that I really enjoy about your writing is that 436 00:24:25,600 --> 00:24:27,159 Speaker 1: you and I've told you this before, and I think 437 00:24:27,200 --> 00:24:29,600 Speaker 1: it embarrassed you. Is that you parse science in a 438 00:24:29,640 --> 00:24:33,600 Speaker 1: way that normies like myself who love science but sometimes 439 00:24:34,080 --> 00:24:37,479 Speaker 1: grapple with understanding it, will get it and it opens 440 00:24:37,520 --> 00:24:39,600 Speaker 1: these doors. So I would love for you to explain 441 00:24:39,680 --> 00:24:43,840 Speaker 1: in layman's terms why it is so critical to understand 442 00:24:44,400 --> 00:24:49,040 Speaker 1: these things in a wartime situation or any underwater situation 443 00:24:49,200 --> 00:24:53,199 Speaker 1: and other situations, so that it makes a little a 444 00:24:53,240 --> 00:24:56,159 Speaker 1: little easier sense. And some of it, I think is 445 00:24:56,160 --> 00:25:01,160 Speaker 1: stuff that doesn't make it to layman because frankly, the 446 00:25:01,200 --> 00:25:03,840 Speaker 1: times it has gone wrong have been horrific and nobody 447 00:25:03,880 --> 00:25:06,280 Speaker 1: wants to really get into it. 448 00:25:06,960 --> 00:25:09,880 Speaker 2: Right. Okay, so you didn't embarrass me. I appreciated the comment, 449 00:25:09,960 --> 00:25:12,800 Speaker 2: but I think what I took opposition to is the 450 00:25:12,800 --> 00:25:15,119 Speaker 2: word normis, because. 451 00:25:16,680 --> 00:25:21,760 Speaker 1: I mean, yeah, no, but in. 452 00:25:21,640 --> 00:25:24,760 Speaker 2: My opinion, science is for everyone, and if you are 453 00:25:24,800 --> 00:25:28,159 Speaker 2: not a professional scientist, the the only thing that's usually 454 00:25:28,200 --> 00:25:33,280 Speaker 2: missing is the daily vocabulary. Every profession has their daily 455 00:25:33,359 --> 00:25:37,200 Speaker 2: vocabulary of terms, and just because you don't know all 456 00:25:37,200 --> 00:25:40,240 Speaker 2: of those doesn't mean you're stupid like it's or it 457 00:25:40,240 --> 00:25:43,360 Speaker 2: doesn't mean you're less intelligent or whatever. So yeah, that's 458 00:25:43,400 --> 00:25:46,000 Speaker 2: I try to. One of my major goals is to 459 00:25:46,040 --> 00:25:49,240 Speaker 2: just be like, listen, you just you don't know the word, 460 00:25:49,320 --> 00:25:52,639 Speaker 2: and that's that's fine. This isn't your daily job. I 461 00:25:52,680 --> 00:25:55,640 Speaker 2: don't know the daily words and terminology of your job 462 00:25:55,680 --> 00:26:01,600 Speaker 2: either either. That's a separate versation, right. So one of 463 00:26:01,640 --> 00:26:04,760 Speaker 2: the things that I really try to do is emphasize 464 00:26:05,480 --> 00:26:08,800 Speaker 2: not only what these people were doing, who they are, 465 00:26:08,920 --> 00:26:11,560 Speaker 2: but also why this problem is important and why it's 466 00:26:11,600 --> 00:26:15,640 Speaker 2: so challenging. This is something that I began to appreciate 467 00:26:15,720 --> 00:26:18,800 Speaker 2: as a scientist myself, because I get a lot of 468 00:26:18,880 --> 00:26:22,600 Speaker 2: questions about, well, why can't they do this, why can't 469 00:26:22,640 --> 00:26:25,000 Speaker 2: they do that, or why can't they just make a thing? Now, 470 00:26:25,240 --> 00:26:26,200 Speaker 2: first of all, who is they? 471 00:26:26,920 --> 00:26:31,160 Speaker 1: So be more specific the grand poop of science? 472 00:26:31,400 --> 00:26:36,359 Speaker 2: Yeah, because we can. The question is how much money 473 00:26:36,359 --> 00:26:40,600 Speaker 2: are you willing to contribute to our salaries? Unfortunately, at 474 00:26:40,600 --> 00:26:42,840 Speaker 2: this point in my life, no one has yet given 475 00:26:42,920 --> 00:26:45,520 Speaker 2: me the vast sums of money it would require for 476 00:26:45,560 --> 00:26:48,639 Speaker 2: me to do science for free. So because I do 477 00:26:48,720 --> 00:26:51,320 Speaker 2: have a mortgage, I do have to buy food, and 478 00:26:51,359 --> 00:26:54,680 Speaker 2: that's just yeah, it's one of the sad limitations of 479 00:26:54,720 --> 00:26:55,480 Speaker 2: my life situation. 480 00:26:56,480 --> 00:26:56,680 Speaker 1: Right. 481 00:26:56,840 --> 00:26:59,960 Speaker 2: So, like most other scientists. We have to have funding 482 00:27:00,240 --> 00:27:02,959 Speaker 2: just because as much as we love this stuff, like, 483 00:27:03,119 --> 00:27:05,840 Speaker 2: we still have to survive, and so we have to 484 00:27:05,840 --> 00:27:09,600 Speaker 2: have funding to pay salaries, buy equipment, and buy lab 485 00:27:09,640 --> 00:27:13,159 Speaker 2: space and things like that. So if someone is not 486 00:27:13,200 --> 00:27:15,679 Speaker 2: willing to invest in a thing, then we really have 487 00:27:15,760 --> 00:27:19,440 Speaker 2: a hard time achieving it for those practical life limitations. Yeah, 488 00:27:19,480 --> 00:27:24,320 Speaker 2: so I wanted to emphasize not only what the people 489 00:27:24,320 --> 00:27:28,440 Speaker 2: were doing, but how complex some of these problems are. 490 00:27:38,240 --> 00:27:42,240 Speaker 1: So will you explain, though, why carbon dioxide and decompression 491 00:27:42,240 --> 00:27:44,720 Speaker 1: sickness are such huge issues and why at this point 492 00:27:44,760 --> 00:27:46,879 Speaker 1: in time people were like, I don't know what's going on. 493 00:27:46,960 --> 00:27:48,920 Speaker 1: These guys did not make it. We're trying to figure 494 00:27:48,920 --> 00:27:49,200 Speaker 1: it out. 495 00:27:49,840 --> 00:27:52,760 Speaker 2: Okay, So the big question is the ending of what 496 00:27:52,800 --> 00:27:55,719 Speaker 2: you just said, Why people are like, I don't know. 497 00:27:56,440 --> 00:27:58,960 Speaker 2: We all experience this. This ties back in the pandemic. 498 00:27:59,280 --> 00:28:03,200 Speaker 2: Everyone experience this in the non scientific world real time 499 00:28:03,280 --> 00:28:07,879 Speaker 2: during the pandemic. In science, if you're talking about sickness, 500 00:28:07,960 --> 00:28:10,639 Speaker 2: you're talking about death, you're talking about injury, anything that 501 00:28:10,680 --> 00:28:15,040 Speaker 2: happens to human beings, we don't know anything until it 502 00:28:15,119 --> 00:28:19,600 Speaker 2: starts happening to someone. We can do tests for years 503 00:28:19,640 --> 00:28:23,640 Speaker 2: in petrie dishes or whatever, and it's still not going 504 00:28:23,720 --> 00:28:27,080 Speaker 2: to be the same as putting a person through it. 505 00:28:27,560 --> 00:28:29,480 Speaker 2: I can put a Patriot dish in a car seat 506 00:28:29,480 --> 00:28:31,119 Speaker 2: all you want, but it's not going to tell me 507 00:28:31,160 --> 00:28:35,199 Speaker 2: when someone's going to die in a car crash. So unfortunately, 508 00:28:35,280 --> 00:28:36,959 Speaker 2: a lot of the data that we get in all 509 00:28:37,000 --> 00:28:40,160 Speaker 2: these scenarios comes because someone got hurt, or someone got sick, 510 00:28:40,280 --> 00:28:43,400 Speaker 2: or someone died, and we're not going to do that 511 00:28:43,440 --> 00:28:45,880 Speaker 2: on purpose. I'm never going to blow some up on purpose. 512 00:28:46,440 --> 00:28:50,640 Speaker 2: So my data from BLAS, for example, comes from when 513 00:28:50,640 --> 00:28:54,240 Speaker 2: people have gotten blown up by accident. So what we 514 00:28:54,320 --> 00:28:56,800 Speaker 2: saw in the pandemic was that being worked out real 515 00:28:56,840 --> 00:28:59,200 Speaker 2: time with in illness, where we're like, we don't know yet, 516 00:28:59,240 --> 00:29:01,120 Speaker 2: we're waiting for this to spread. We have to see 517 00:29:01,160 --> 00:29:03,880 Speaker 2: how this happens naturally because we can't ethically do this 518 00:29:03,960 --> 00:29:06,160 Speaker 2: on purpose. And that was the same thing that was 519 00:29:06,200 --> 00:29:09,520 Speaker 2: happening with diving in DCS. So with diving in decompression 520 00:29:09,560 --> 00:29:14,760 Speaker 2: sickness DCS, otherwise known as the bends, this just started happening. 521 00:29:15,160 --> 00:29:18,840 Speaker 2: It was a thing happening to bridge construction workers and 522 00:29:18,920 --> 00:29:22,960 Speaker 2: people were like, we don't know, we're going to try 523 00:29:23,000 --> 00:29:26,239 Speaker 2: a couple things. Most of those things are not going 524 00:29:26,320 --> 00:29:31,320 Speaker 2: to work. Eventually one will and eventually the one that 525 00:29:31,360 --> 00:29:35,120 Speaker 2: really did work was invented or thought up by JBS 526 00:29:35,160 --> 00:29:39,040 Speaker 2: Haldane's father, John Scott Haldane, which is how JBS kind 527 00:29:39,040 --> 00:29:41,760 Speaker 2: of got into diving. So he looked at the idea 528 00:29:41,760 --> 00:29:44,400 Speaker 2: of decompression. So he looked at the idea of how 529 00:29:44,440 --> 00:29:47,040 Speaker 2: to plan your decompression so that you can avoid the 530 00:29:47,120 --> 00:29:49,720 Speaker 2: disease in the first place. And he kind of was 531 00:29:49,760 --> 00:29:53,200 Speaker 2: one of the first pioneers of the field to understand 532 00:29:53,320 --> 00:29:56,000 Speaker 2: that the human body needs time to process that's happening 533 00:29:56,000 --> 00:29:56,800 Speaker 2: to it underwater. 534 00:29:57,440 --> 00:29:59,280 Speaker 1: I'm going to come back to science in a little bit, 535 00:29:59,320 --> 00:30:00,960 Speaker 1: but first I I kind of want to talk about 536 00:30:01,000 --> 00:30:06,400 Speaker 1: Haldane because he's a doozy of a character. One of 537 00:30:06,440 --> 00:30:09,200 Speaker 1: the issues that comes up in the book is communism 538 00:30:09,240 --> 00:30:11,920 Speaker 1: because he was very bought into that movement for a 539 00:30:11,960 --> 00:30:12,520 Speaker 1: long time. 540 00:30:12,840 --> 00:30:15,680 Speaker 2: He was bought into everything whatever he liked. He was 541 00:30:15,720 --> 00:30:18,960 Speaker 2: like hunter present this, yes, you know, no happening. 542 00:30:20,320 --> 00:30:22,640 Speaker 1: Yeah, Like the propaganda that was coming out of Communist 543 00:30:22,680 --> 00:30:26,520 Speaker 1: Russia convinced him. Will you talk a little bit about 544 00:30:26,560 --> 00:30:30,680 Speaker 1: the part that affiliation with communism plays in his life story. 545 00:30:31,760 --> 00:30:35,040 Speaker 2: Yes, so he bought into communism, and this was really 546 00:30:35,080 --> 00:30:38,000 Speaker 2: common in the nineteen thirties, So I tried to be 547 00:30:38,080 --> 00:30:40,360 Speaker 2: clear about that in the book, like now it's considered 548 00:30:40,400 --> 00:30:43,200 Speaker 2: a bit of a fringe and extremist belief. That's because 549 00:30:43,320 --> 00:30:46,680 Speaker 2: now we have the example of what really happened in communism. 550 00:30:47,440 --> 00:30:50,360 Speaker 2: They did not have that yet. It was still pretty theoretical, 551 00:30:50,440 --> 00:30:55,200 Speaker 2: and the Russians, this early Soviet experiment, was essentially lying 552 00:30:55,240 --> 00:30:58,440 Speaker 2: to the rest of the world, and they were lying well, 553 00:30:59,160 --> 00:31:02,280 Speaker 2: they convinced a lot of people. So for Jamie as 554 00:31:02,320 --> 00:31:06,040 Speaker 2: Hell Dane, he looked at communism as a way to 555 00:31:06,120 --> 00:31:10,600 Speaker 2: fight fascism. You have this fascist idea that one person 556 00:31:10,840 --> 00:31:12,640 Speaker 2: should really be in charge, and then you have this 557 00:31:12,720 --> 00:31:16,600 Speaker 2: communist idea that the people should be in charge. And 558 00:31:17,080 --> 00:31:20,640 Speaker 2: because he really opposed fascism, he had been in World 559 00:31:20,640 --> 00:31:23,200 Speaker 2: War One, he'd been in the trenches in World War One, 560 00:31:23,480 --> 00:31:27,560 Speaker 2: and he had seen what happens when essentially monarchs are 561 00:31:28,000 --> 00:31:31,120 Speaker 2: able to pit their people against each other at will. 562 00:31:31,560 --> 00:31:38,280 Speaker 2: He became very anti individualistic government control. And then he 563 00:31:38,600 --> 00:31:41,280 Speaker 2: ends up going to the Spanish Civil War voluntarily, and 564 00:31:41,320 --> 00:31:44,040 Speaker 2: that's where I think he really got radicalized because he 565 00:31:44,200 --> 00:31:48,960 Speaker 2: was fighting with the communists against the fascist regimes. So 566 00:31:49,040 --> 00:31:51,600 Speaker 2: when World War two starts to break out and everything 567 00:31:51,640 --> 00:31:54,880 Speaker 2: starts to wremble, this is all coming in the context 568 00:31:54,880 --> 00:31:57,920 Speaker 2: of right after the Great Depression. So you have this 569 00:31:58,040 --> 00:32:01,000 Speaker 2: guy who's not only been in these wars led by 570 00:32:01,040 --> 00:32:06,160 Speaker 2: these monarchical and fascist dictators, you have this world that's 571 00:32:06,200 --> 00:32:08,960 Speaker 2: going through this massive depression where there are food riots 572 00:32:09,040 --> 00:32:13,480 Speaker 2: and starvation and lots of problems that people are saying, oh, well, 573 00:32:13,520 --> 00:32:16,880 Speaker 2: theoretically this could be fixed by communism, which we now 574 00:32:16,880 --> 00:32:21,160 Speaker 2: know it doesn't, but at that time very appealing. So 575 00:32:21,760 --> 00:32:24,640 Speaker 2: he kind of becomes a big part of this and 576 00:32:24,880 --> 00:32:29,360 Speaker 2: that really starts to inform his perspective in terms of science. 577 00:32:29,840 --> 00:32:32,000 Speaker 2: There's a lot of evidence that he did this in 578 00:32:32,080 --> 00:32:36,480 Speaker 2: part because the communists were saying, oh, well, this is 579 00:32:36,640 --> 00:32:39,840 Speaker 2: the application of science to help people, and that was 580 00:32:39,880 --> 00:32:42,400 Speaker 2: a thing he really cared about. Like he really cared 581 00:32:42,440 --> 00:32:46,000 Speaker 2: about using science to help people. That was one of 582 00:32:46,040 --> 00:32:48,640 Speaker 2: his major goals. And so that's how communism and science 583 00:32:48,680 --> 00:32:51,120 Speaker 2: really tied together for him. And that's a big part 584 00:32:51,160 --> 00:32:53,520 Speaker 2: of I think what motivated the Lab to do this stuff. 585 00:32:54,080 --> 00:32:56,959 Speaker 2: He knew what war was like, and he wanted to 586 00:32:57,000 --> 00:32:57,600 Speaker 2: help end it. 587 00:32:58,280 --> 00:33:02,040 Speaker 1: So I'm still gonna want to talk about Haldane because 588 00:33:02,040 --> 00:33:04,720 Speaker 1: he was I don't know if rebellious is the right 589 00:33:04,760 --> 00:33:09,440 Speaker 1: word or just he saw his path and he knew 590 00:33:09,440 --> 00:33:11,280 Speaker 1: what he believed was right and what wasn't and a 591 00:33:11,320 --> 00:33:14,480 Speaker 1: lot of that led to things like clashes with his 592 00:33:14,600 --> 00:33:18,160 Speaker 1: bosses and the leadership at University College London. Well you 593 00:33:18,200 --> 00:33:20,360 Speaker 1: talk a little bit, because there are some very funny 594 00:33:20,360 --> 00:33:24,040 Speaker 1: stories about like the ways he got around wartime regulations 595 00:33:24,120 --> 00:33:27,200 Speaker 1: and how he would have visitors get onto campus and 596 00:33:27,240 --> 00:33:29,520 Speaker 1: into the lab like that cracked me up. 597 00:33:30,240 --> 00:33:33,640 Speaker 2: Yeah, oh my gosh, I love those stories too. Right, 598 00:33:33,800 --> 00:33:37,480 Speaker 2: so when the war starts really brewing, the leadership of 599 00:33:37,640 --> 00:33:40,520 Speaker 2: University College London U Seel starts to say, okay, we 600 00:33:40,560 --> 00:33:43,440 Speaker 2: gotta shut this down, we gotta get people out. We're downtown. 601 00:33:43,920 --> 00:33:46,320 Speaker 2: They do turn out to be right, they're a little 602 00:33:46,360 --> 00:33:49,840 Speaker 2: bit early. But how Dane is like, nah, no thanks, 603 00:33:50,160 --> 00:33:52,920 Speaker 2: I've been bombed several times before. I want to keep researching. 604 00:33:53,560 --> 00:33:58,000 Speaker 2: So that's how much this guy cares about genetics. He's like, no, 605 00:33:58,160 --> 00:34:01,680 Speaker 2: bombs are cool, I'm gonna keep We're gonna and he 606 00:34:01,800 --> 00:34:04,480 Speaker 2: essentially whenever he has visitors, he tells them to lie 607 00:34:04,600 --> 00:34:06,800 Speaker 2: and pretend they're from the government to how to get 608 00:34:06,840 --> 00:34:10,120 Speaker 2: around the guards at the gates. And he's like developed 609 00:34:10,120 --> 00:34:14,799 Speaker 2: secret passageways in things like this. So this is what 610 00:34:14,880 --> 00:34:18,480 Speaker 2: he's doing along with his fellow rebellious lab mates, in 611 00:34:18,600 --> 00:34:21,800 Speaker 2: order to keep the research going. Part of the reason 612 00:34:21,920 --> 00:34:25,680 Speaker 2: I wanted to include that was because that actually doesn't 613 00:34:25,760 --> 00:34:32,560 Speaker 2: seem that unusual to me. You you would be surprised 614 00:34:32,880 --> 00:34:37,520 Speaker 2: how many scientists I've seen with similar behaviors, where they 615 00:34:38,080 --> 00:34:41,279 Speaker 2: they really care about their research to the point where 616 00:34:41,280 --> 00:34:44,759 Speaker 2: they're like, no, I'll evacuate when the fire gets to me, 617 00:34:45,440 --> 00:34:50,560 Speaker 2: right right. So I thought that that was maybe unusual 618 00:34:50,760 --> 00:34:54,160 Speaker 2: for most people, but very classic scientists. 619 00:34:55,960 --> 00:34:58,200 Speaker 1: I sort of love it. I think one of them 620 00:34:58,239 --> 00:34:59,839 Speaker 1: was that he told friends to say they were from 621 00:34:59,840 --> 00:35:02,840 Speaker 1: the Ministry of Food, which Judy is just the nuttiest 622 00:35:02,920 --> 00:35:06,479 Speaker 1: and best. That's a great restaurant name. If anybody wants 623 00:35:06,480 --> 00:35:07,000 Speaker 1: to take it. 624 00:35:08,880 --> 00:35:10,200 Speaker 2: I will go, I will go to that. 625 00:35:10,520 --> 00:35:14,160 Speaker 1: This is interesting, right because he's doing he's running this lab. 626 00:35:14,200 --> 00:35:16,399 Speaker 1: There's a lot of genetics research going on, but then 627 00:35:16,520 --> 00:35:20,760 Speaker 1: they are also being tasked by the government to figure 628 00:35:20,800 --> 00:35:24,280 Speaker 1: out these issues that are going on with military operations, 629 00:35:24,360 --> 00:35:29,000 Speaker 1: and then the blitz is happening in London where all 630 00:35:29,800 --> 00:35:33,520 Speaker 1: of this research is underway. So will you talk about 631 00:35:33,640 --> 00:35:36,799 Speaker 1: sort of the immediacy of the military research at that 632 00:35:36,880 --> 00:35:41,280 Speaker 1: point and how they stayed focused on things as bombings 633 00:35:41,320 --> 00:35:43,720 Speaker 1: are literally happening in the city, and then of course 634 00:35:43,840 --> 00:35:47,880 Speaker 1: they eventually had to move and thank goodness they did. 635 00:35:48,160 --> 00:35:53,080 Speaker 2: Oh finally, Oh my gosh, So okay, this was so crazy. 636 00:35:53,120 --> 00:35:54,840 Speaker 2: I can't even imagine what this would have been like. 637 00:35:55,760 --> 00:36:00,120 Speaker 2: The know that war is coming, and the Allied military 638 00:36:00,440 --> 00:36:05,200 Speaker 2: have this collective gut clenching moment in the summer of 639 00:36:05,280 --> 00:36:10,400 Speaker 2: nineteen thirty nine where they know that Hitler is bad 640 00:36:10,680 --> 00:36:13,960 Speaker 2: and they're like, we're gonna start preparing for that. We 641 00:36:14,080 --> 00:36:18,200 Speaker 2: think this is gonna get worse, and they start building 642 00:36:18,239 --> 00:36:23,560 Speaker 2: more submarines. What starts happening is they have three sinkings 643 00:36:23,600 --> 00:36:26,080 Speaker 2: in a row within three weeks of each other. US 644 00:36:26,160 --> 00:36:29,960 Speaker 2: the Squaliss goes down during a training accident, HMS Thetis 645 00:36:29,960 --> 00:36:33,520 Speaker 2: goes down during a training accident, and the French Fany, 646 00:36:33,760 --> 00:36:36,640 Speaker 2: which actually still has lost off the Coasta Vietnam that's 647 00:36:36,680 --> 00:36:39,920 Speaker 2: a whole side story, goes down during a training accident, 648 00:36:40,480 --> 00:36:44,759 Speaker 2: but collectively these countries must have been panicking and they 649 00:36:44,840 --> 00:36:47,400 Speaker 2: kept it out of the news. So this context has 650 00:36:47,440 --> 00:36:49,720 Speaker 2: been left out of a lot of World War two histories. 651 00:36:50,400 --> 00:36:53,520 Speaker 2: But I can only imagine the panic when they realize 652 00:36:53,520 --> 00:36:56,560 Speaker 2: that they don't actually know what they're doing underwater. They 653 00:36:56,600 --> 00:36:59,200 Speaker 2: have no idea how to actually keep people alive in submarines, 654 00:36:59,280 --> 00:37:02,880 Speaker 2: much less get them out. How Dane and the UCL 655 00:37:02,920 --> 00:37:05,920 Speaker 2: group are geneticis by training, and they start working on 656 00:37:05,960 --> 00:37:09,400 Speaker 2: this problem immediately, and they start doing it on themselves. 657 00:37:09,600 --> 00:37:12,440 Speaker 2: Of course, because they're there. They're human beings, they're handy. 658 00:37:12,600 --> 00:37:17,399 Speaker 2: This makes sense to a scientist. So as soon as 659 00:37:17,400 --> 00:37:20,960 Speaker 2: how Dane testifies in the hearing about what happened with 660 00:37:21,000 --> 00:37:24,160 Speaker 2: the HMS Thetis he shows up there. He's literally there 661 00:37:24,280 --> 00:37:27,640 Speaker 2: the day after he's done this trial on himself, so 662 00:37:27,680 --> 00:37:29,680 Speaker 2: he's still got a migraine from all the co two. 663 00:37:29,880 --> 00:37:33,040 Speaker 2: He's just spent the previous night projectile vomiting through the evening. 664 00:37:33,560 --> 00:37:35,799 Speaker 2: And he gets up there and they ask him to 665 00:37:35,800 --> 00:37:37,800 Speaker 2: do math, and he does math in front of everyone 666 00:37:37,920 --> 00:37:41,640 Speaker 2: on the stand to tell him how much carbon dioxide 667 00:37:41,680 --> 00:37:44,000 Speaker 2: absorb it They would have needed to save their separators 668 00:37:44,520 --> 00:37:47,120 Speaker 2: at that point the admiral t goes and you can 669 00:37:47,280 --> 00:37:49,480 Speaker 2: feel it in the documents. They don't say it this way, 670 00:37:49,600 --> 00:37:52,000 Speaker 2: but this is how I mentioned it. They're like, this 671 00:37:52,080 --> 00:37:59,480 Speaker 2: is the guy. They basically just start piling it on him. 672 00:38:00,000 --> 00:38:03,839 Speaker 2: So like, here's our list of questions. I've read these 673 00:38:03,880 --> 00:38:06,759 Speaker 2: list of questions. Some of them were still working on 674 00:38:06,920 --> 00:38:11,800 Speaker 2: a scientist, So eighty years later, we're still working on these. 675 00:38:12,520 --> 00:38:15,799 Speaker 2: What the UCL lab does is basically find this lab 676 00:38:15,840 --> 00:38:18,440 Speaker 2: with chambers. They go to the hyperbaric chambers, which are 677 00:38:18,520 --> 00:38:21,080 Speaker 2: large metal tubes that can hold in pressure so they 678 00:38:21,080 --> 00:38:24,759 Speaker 2: can simulate diving. And they say, okay, this is an emergency. 679 00:38:25,160 --> 00:38:27,640 Speaker 2: We're being told to evacuate. People are leaving the city, 680 00:38:27,680 --> 00:38:30,080 Speaker 2: We're expecting bombings any day. This is part of the 681 00:38:30,120 --> 00:38:31,960 Speaker 2: war we are about to be in. And so they 682 00:38:32,000 --> 00:38:34,560 Speaker 2: start putting their own bodies in the tubes to test 683 00:38:34,840 --> 00:38:38,160 Speaker 2: this admiralties list of questions. Now, of course we already 684 00:38:38,160 --> 00:38:42,520 Speaker 2: talked about up nineteen forty two, dup happens that list 685 00:38:42,560 --> 00:38:45,960 Speaker 2: of questions kind of morphs a little bit. Before it 686 00:38:46,040 --> 00:38:49,120 Speaker 2: had been focused a lot on submarines and maybe making 687 00:38:49,200 --> 00:38:52,600 Speaker 2: many submarines, and how Dane himself had been pushing this 688 00:38:52,719 --> 00:38:58,040 Speaker 2: idea of free swimming divers, but he didn't really get 689 00:38:58,080 --> 00:39:02,000 Speaker 2: the admiralties full attention until dup in nineteen forty two 690 00:39:02,040 --> 00:39:04,680 Speaker 2: when they were like, oh man, we need we need 691 00:39:04,680 --> 00:39:09,600 Speaker 2: people underwater. At the time, HEREOD diving really meant surface 692 00:39:09,600 --> 00:39:13,320 Speaker 2: applied diving. So I think Cuba getting Junior Men of Honor. 693 00:39:13,520 --> 00:39:16,760 Speaker 2: That's what it looked like. Giant ship over you people 694 00:39:16,800 --> 00:39:20,359 Speaker 2: who would be shooting at that. So if you tried 695 00:39:20,440 --> 00:39:23,880 Speaker 2: scout a peach with it, it's pretty obvious. So what 696 00:39:23,920 --> 00:39:27,520 Speaker 2: they were doing was really working on the first scouting divers, 697 00:39:27,600 --> 00:39:30,640 Speaker 2: and they were just in a frenzy for the next 698 00:39:30,640 --> 00:39:33,440 Speaker 2: several years trying to come up with the safety limits 699 00:39:33,440 --> 00:39:35,440 Speaker 2: for how people could do this without dying. 700 00:39:36,080 --> 00:39:39,960 Speaker 1: Astonishing, it just kept getting piled on. You mentioned that 701 00:39:40,120 --> 00:39:45,120 Speaker 1: they were themselves test subjects. These are to me some 702 00:39:45,200 --> 00:39:47,959 Speaker 1: of the most terrifying passages of the book, because I'm 703 00:39:48,120 --> 00:39:50,600 Speaker 1: a wuss and I don't enjoy discomfort of any flavor. 704 00:39:50,640 --> 00:39:54,719 Speaker 1: But it's one of those things where I'm like, I 705 00:39:54,800 --> 00:39:57,719 Speaker 1: understand that this approach led to a much deeper understanding 706 00:39:57,760 --> 00:40:01,200 Speaker 1: of all of this science and asphyxiation, and specifically what 707 00:40:01,239 --> 00:40:03,839 Speaker 1: could happen in summaris is this really a good way 708 00:40:03,920 --> 00:40:05,720 Speaker 1: to do experiments? 709 00:40:06,800 --> 00:40:07,799 Speaker 2: What's the alternative? 710 00:40:08,280 --> 00:40:08,960 Speaker 1: Right now? 711 00:40:09,040 --> 00:40:10,400 Speaker 2: Seriously, what's the alternative? 712 00:40:10,400 --> 00:40:12,160 Speaker 1: I mean, that's the thing. It's like you can't ask 713 00:40:12,239 --> 00:40:13,799 Speaker 1: a mouse how it felt. 714 00:40:13,560 --> 00:40:15,840 Speaker 2: Right, exactly exactly. 715 00:40:16,000 --> 00:40:18,480 Speaker 1: But I do wonder because I know you do lots 716 00:40:18,520 --> 00:40:22,560 Speaker 1: of testing, and it's very careful and regulated and obviously 717 00:40:22,680 --> 00:40:25,319 Speaker 1: like there's no way, as you said, to do the 718 00:40:25,360 --> 00:40:27,840 Speaker 1: things they were doing without putting themselves through it. But 719 00:40:27,920 --> 00:40:30,960 Speaker 1: were there any instances of this approach where you were like, 720 00:40:31,080 --> 00:40:33,680 Speaker 1: they have gone too far? This was Nope, nope, nope, 721 00:40:33,680 --> 00:40:36,040 Speaker 1: you should not have done that, sir. I mean, we'll 722 00:40:36,080 --> 00:40:37,600 Speaker 1: talk more about all of the injuries. 723 00:40:37,640 --> 00:40:43,400 Speaker 2: But knowing what I know now, it's impossible for me 724 00:40:43,480 --> 00:40:47,680 Speaker 2: to evaluate their experiences because my knowledge is based on 725 00:40:47,760 --> 00:40:52,240 Speaker 2: what they did. Our entire field, my entire professional field, 726 00:40:52,719 --> 00:40:55,160 Speaker 2: is based on what this group did during World War Two, 727 00:40:55,600 --> 00:40:58,680 Speaker 2: but it was so classified. My entire professional field is 728 00:40:58,719 --> 00:41:00,839 Speaker 2: going to be finding out this story from this book too. 729 00:41:01,200 --> 00:41:03,319 Speaker 2: None of us knew. I had to dig it out 730 00:41:03,800 --> 00:41:07,040 Speaker 2: so I can look back now and say, yes, if 731 00:41:07,080 --> 00:41:10,760 Speaker 2: someone today did that, I would punch them in the face, 732 00:41:11,080 --> 00:41:15,399 Speaker 2: because that's insane. But I know that because this group 733 00:41:15,440 --> 00:41:19,160 Speaker 2: did it. When I was writing it, I'm I'm very 734 00:41:19,200 --> 00:41:24,960 Speaker 2: flattered you found it terrifying because what I'm glad I 735 00:41:24,960 --> 00:41:27,479 Speaker 2: could chill you to your core, because what I wanted 736 00:41:27,560 --> 00:41:30,359 Speaker 2: to do was convey what they would have experienced. They 737 00:41:30,360 --> 00:41:32,799 Speaker 2: were getting in this too. It was tiny, it was 738 00:41:32,880 --> 00:41:35,440 Speaker 2: thick metal. They had no real way of communicating with 739 00:41:35,480 --> 00:41:37,680 Speaker 2: the outside except for scribbling notes and holding them up 740 00:41:37,719 --> 00:41:40,600 Speaker 2: to the very small window. There was no lighting inside. 741 00:41:40,960 --> 00:41:42,840 Speaker 2: It would have been dark, it would have been loud, 742 00:41:43,360 --> 00:41:45,040 Speaker 2: and they had no way to get out in case 743 00:41:45,040 --> 00:41:47,799 Speaker 2: of an emergency. Because you're under pressure. You can't just 744 00:41:47,840 --> 00:41:51,480 Speaker 2: come back up. You're gonna I'll get DCS. So I 745 00:41:51,640 --> 00:41:56,239 Speaker 2: really wanted to convey how terrifying that would have been 746 00:41:56,800 --> 00:42:00,239 Speaker 2: as an exploration. Now, when we do it, we have 747 00:42:00,320 --> 00:42:04,360 Speaker 2: prescribed guidelines. I can do things safely because of this group. 748 00:42:05,440 --> 00:42:07,840 Speaker 2: When they were doing that, every single time they closed 749 00:42:07,840 --> 00:42:10,560 Speaker 2: out chamber door, they had no idea what was about 750 00:42:10,600 --> 00:42:13,080 Speaker 2: to happen to their bodies. And I really tried to 751 00:42:13,120 --> 00:42:16,640 Speaker 2: convey that through putting in a sampling of the experiments. So, yeah, 752 00:42:16,680 --> 00:42:19,240 Speaker 2: there are some experiments in there where everything is fine. 753 00:42:19,800 --> 00:42:22,680 Speaker 2: Everyone comes out and they have a nice afternoon and 754 00:42:22,719 --> 00:42:25,400 Speaker 2: then they eat sandwiches. And there are other experiments in 755 00:42:25,440 --> 00:42:29,440 Speaker 2: there where like it's really bad, people could have died, 756 00:42:29,640 --> 00:42:31,719 Speaker 2: so they had no idea going in. 757 00:42:41,360 --> 00:42:45,719 Speaker 1: There are very real negative repercussions to their work. Will 758 00:42:45,760 --> 00:42:48,319 Speaker 1: you talk about some of the physical damage that some 759 00:42:48,360 --> 00:42:53,000 Speaker 1: of these researchers ended up with. I was so squinked 760 00:42:53,040 --> 00:42:58,319 Speaker 1: out by the lit cigarette test that was done. I 761 00:42:58,400 --> 00:43:01,920 Speaker 1: don't even know how to discribe the contortions my body 762 00:43:01,960 --> 00:43:04,560 Speaker 1: went through, which was Jim Rendall, right. 763 00:43:04,560 --> 00:43:07,359 Speaker 2: Yes, would you like me to talk about that one? 764 00:43:07,560 --> 00:43:10,600 Speaker 1: Sure? Okay, you could use a couple if you have 765 00:43:10,719 --> 00:43:14,160 Speaker 1: two that are you know, too horrifyingly graphic. 766 00:43:17,239 --> 00:43:20,080 Speaker 2: Yesterday I spent a lengthy amount of time explaining the 767 00:43:20,120 --> 00:43:21,640 Speaker 2: concept of lung butter to someone. 768 00:43:21,719 --> 00:43:22,680 Speaker 1: So I have a problem. 769 00:43:23,680 --> 00:43:26,160 Speaker 2: Yeah, you have to. You'll have to tell me what 770 00:43:26,239 --> 00:43:30,120 Speaker 2: your limit is. Jim Roundell full name James, but went 771 00:43:30,160 --> 00:43:33,799 Speaker 2: by Jim. He was a PhD geneticist. And I love 772 00:43:33,840 --> 00:43:36,000 Speaker 2: this guy because he's a tall person like me, And 773 00:43:36,080 --> 00:43:38,680 Speaker 2: so he curls up in the chamber one day and 774 00:43:38,719 --> 00:43:42,200 Speaker 2: he's going down there and everything seems fine. So he 775 00:43:42,560 --> 00:43:44,760 Speaker 2: has a successful test he's a little bit of trouble 776 00:43:44,760 --> 00:43:48,040 Speaker 2: clearing his ears, meaning equalizing with the pressure changes, just 777 00:43:48,040 --> 00:43:52,120 Speaker 2: like on an airplane. That everything seems okay. So he 778 00:43:52,200 --> 00:43:55,440 Speaker 2: comes up and he just has this weird chest paint, 779 00:43:55,600 --> 00:43:59,000 Speaker 2: like it's really small. It's just bothering him. He assumes 780 00:43:59,040 --> 00:44:03,319 Speaker 2: that someone gave him a problematic meat pie, which just 781 00:44:03,400 --> 00:44:05,360 Speaker 2: laughed that he blamed the meat pie is like, no, 782 00:44:05,480 --> 00:44:09,080 Speaker 2: I just ate a weird thing. It keeps getting worse, 783 00:44:09,719 --> 00:44:12,719 Speaker 2: So eventually he goes to the doctor. The doctor just 784 00:44:12,800 --> 00:44:16,200 Speaker 2: slices him open between his ribs and he notices that 785 00:44:16,320 --> 00:44:20,480 Speaker 2: Jim Rendell's entire lung has collapsed. So what's occurred is 786 00:44:20,520 --> 00:44:23,319 Speaker 2: there was some pocket of gas in his lung and 787 00:44:23,360 --> 00:44:26,520 Speaker 2: as they were coming up from depth, the gas was 788 00:44:26,640 --> 00:44:31,360 Speaker 2: trapped and it couldn't fully expand. Now this doesn't usually happen. 789 00:44:31,480 --> 00:44:33,719 Speaker 2: This is not a normal thing, but some people have 790 00:44:33,760 --> 00:44:37,920 Speaker 2: flukes of physiology. If he maybe had tuberculosis or another 791 00:44:38,120 --> 00:44:40,759 Speaker 2: major respiratory disease where there was scarring in his lung, 792 00:44:40,760 --> 00:44:43,600 Speaker 2: that could happen. It's not extremely common, but it is 793 00:44:43,640 --> 00:44:47,080 Speaker 2: a thing that exists. And so as he was going 794 00:44:47,160 --> 00:44:51,200 Speaker 2: up that gas couldn't expand. He couldn't exhale it, and 795 00:44:51,239 --> 00:44:55,000 Speaker 2: it ruptured into his chest instead, It'll go somewhere. The 796 00:44:55,120 --> 00:45:00,759 Speaker 2: laws of physics always win, and so every time he 797 00:45:00,840 --> 00:45:04,040 Speaker 2: breathed in a little bit of his breath would go 798 00:45:04,120 --> 00:45:07,000 Speaker 2: out through that same rupture and go more into his 799 00:45:07,120 --> 00:45:10,399 Speaker 2: chest cavity. Eventually, the bubble in his chest cavity grew 800 00:45:10,440 --> 00:45:13,160 Speaker 2: bigger than his lungs. It collapsed his lungs, and it 801 00:45:13,239 --> 00:45:16,640 Speaker 2: started shoving his heart to the side. So if he'd 802 00:45:16,719 --> 00:45:20,160 Speaker 2: kept breathing that way, his heart would have pushed been 803 00:45:20,200 --> 00:45:22,279 Speaker 2: pushed so far to the side that it could have 804 00:45:22,360 --> 00:45:24,560 Speaker 2: ruptured one of the major blood vessels and he would 805 00:45:24,560 --> 00:45:27,680 Speaker 2: have bled to death internally. Thankfully, he went to the 806 00:45:27,719 --> 00:45:30,080 Speaker 2: doctor before he reached that part. They made a small 807 00:45:30,080 --> 00:45:33,480 Speaker 2: incision in his back, looked around, said hey, this is 808 00:45:33,520 --> 00:45:36,400 Speaker 2: a problem, but to test it and make sure that 809 00:45:36,480 --> 00:45:39,080 Speaker 2: the lung was closed before they sewed him back up. 810 00:45:39,440 --> 00:45:42,680 Speaker 2: The doctor hands him a lit cigarette and says, hey, kids, smoke. 811 00:45:42,760 --> 00:45:46,480 Speaker 2: This not the actual dialogue, but definitely how I meatione it. 812 00:45:47,239 --> 00:45:51,239 Speaker 3: So this is this is a leak test, right, you 813 00:45:51,280 --> 00:45:54,440 Speaker 3: can see smoke. So if he a haales on this 814 00:45:54,560 --> 00:45:58,760 Speaker 3: cigarette and smoke comes into this hole in his chest wall. 815 00:45:59,160 --> 00:46:03,279 Speaker 3: Now we know that the how lung isn't sealed. Thankfully 816 00:46:03,400 --> 00:46:06,600 Speaker 3: for Jim Rendell, no smoke entered his chast cavity. 817 00:46:06,680 --> 00:46:09,040 Speaker 2: It turned out the lung was fully sealed, and they 818 00:46:09,040 --> 00:46:11,520 Speaker 2: could just kind of purge that gas that was in there, 819 00:46:11,920 --> 00:46:14,160 Speaker 2: let the lung reinflate, and then sew im back up. 820 00:46:14,680 --> 00:46:16,640 Speaker 2: But this would keep being a problem for him for 821 00:46:16,680 --> 00:46:20,000 Speaker 2: the rest of his life. Now, this is a fixable problem. 822 00:46:20,080 --> 00:46:22,440 Speaker 2: There are aboutter ways to attach the lung to the chesswall, 823 00:46:22,760 --> 00:46:25,520 Speaker 2: but those are more modern inventions than his time period. 824 00:46:25,600 --> 00:46:27,360 Speaker 2: So this is a thing he struggled with for the 825 00:46:27,360 --> 00:46:29,960 Speaker 2: rest of his life. He was permanently disabled by this injury. 826 00:46:30,600 --> 00:46:33,160 Speaker 1: Yeah, and that's one of the more minor injuries that 827 00:46:33,239 --> 00:46:39,880 Speaker 1: you Yeah. Yeah, there are ways in which this obviously 828 00:46:40,000 --> 00:46:45,360 Speaker 1: risk embracing team's personalities, particularly Haldane's. From my perception and 829 00:46:45,360 --> 00:46:47,160 Speaker 1: correct me if I'm wrong, seemed like they had the 830 00:46:47,200 --> 00:46:51,360 Speaker 1: potential to really mess with data, because there's that There's 831 00:46:51,360 --> 00:46:54,560 Speaker 1: one story where you note that after Haldane was obviously 832 00:46:54,600 --> 00:46:58,480 Speaker 1: incapacitated during a test in which he also became violent, 833 00:46:59,040 --> 00:47:01,359 Speaker 1: he insisted after it was all over that he had 834 00:47:01,400 --> 00:47:03,920 Speaker 1: never lost consciousness, even though they were like, yes you did, 835 00:47:03,960 --> 00:47:08,160 Speaker 1: we watched you. This to me is so fascinating in 836 00:47:08,239 --> 00:47:11,440 Speaker 1: a scientist, like there's some weird hubris in the mix, 837 00:47:11,480 --> 00:47:14,640 Speaker 1: and your depiction of him is really unflinching because you 838 00:47:14,680 --> 00:47:17,080 Speaker 1: do show both his positive and negative traits. We talked 839 00:47:17,080 --> 00:47:20,080 Speaker 1: about that a little bit earlier. But did any of 840 00:47:20,120 --> 00:47:23,160 Speaker 1: his behaviors kind of come as a surprise to you 841 00:47:23,239 --> 00:47:25,919 Speaker 1: where you're like, dude, you are a mess. 842 00:47:28,880 --> 00:47:33,359 Speaker 4: Honestly, not really like scientists are quirky group. Man, We're 843 00:47:33,440 --> 00:47:35,719 Speaker 4: just We're just a quirky group. 844 00:47:35,880 --> 00:47:38,880 Speaker 2: And I love us. This is I'm a scientist. But 845 00:47:41,440 --> 00:47:45,600 Speaker 2: I found his behavior to be both problematic in the 846 00:47:45,600 --> 00:47:48,360 Speaker 2: way that he would have explosions, but in that sense 847 00:47:48,480 --> 00:47:54,840 Speaker 2: endearing because I really related to what I assume. And 848 00:47:54,960 --> 00:47:56,879 Speaker 2: again this is this is an assumption on my part, 849 00:47:56,920 --> 00:48:02,319 Speaker 2: but why I assume were blow ups by inability to 850 00:48:02,400 --> 00:48:05,440 Speaker 2: connect and communicate with other people in what's considered a 851 00:48:05,480 --> 00:48:10,080 Speaker 2: normal fashion. And so when he had these moments, they 852 00:48:10,160 --> 00:48:16,440 Speaker 2: were usually moments of extreme frustration over something. And I 853 00:48:16,440 --> 00:48:21,439 Speaker 2: think that that's a reaction that some people have when 854 00:48:21,480 --> 00:48:26,200 Speaker 2: they're finding they're not being understood, and so that his 855 00:48:26,360 --> 00:48:28,920 Speaker 2: reaction was not appropriate. All adults should be able to 856 00:48:28,960 --> 00:48:32,960 Speaker 2: control their behavior, but nobody can control their feelings, right, 857 00:48:33,040 --> 00:48:35,359 Speaker 2: So I just saw this as a man who had 858 00:48:35,400 --> 00:48:39,000 Speaker 2: never had to control his behavior, but was having feelings 859 00:48:39,160 --> 00:48:44,000 Speaker 2: born of being othered. And that made me sympathize and 860 00:48:44,280 --> 00:48:46,040 Speaker 2: maybe even a little bit empathy. I don't have a 861 00:48:46,040 --> 00:48:48,520 Speaker 2: temper at all, but maybe even a little empathized with 862 00:48:49,120 --> 00:48:53,600 Speaker 2: some of his difficulty communicating in those moments, with regard 863 00:48:53,640 --> 00:48:56,640 Speaker 2: to the ones where he was denying being unconscious. To me, 864 00:48:56,800 --> 00:48:59,280 Speaker 2: that's so fascinating that you took it that way, because 865 00:48:59,719 --> 00:49:03,040 Speaker 2: this I would report everything. He was super honest. He 866 00:49:03,080 --> 00:49:05,200 Speaker 2: even had one lab record and I couldn't find a 867 00:49:05,239 --> 00:49:07,799 Speaker 2: way to squeeze it. In the book where he was 868 00:49:07,840 --> 00:49:10,600 Speaker 2: calling himself fat, that was his word for himself, and 869 00:49:10,719 --> 00:49:13,040 Speaker 2: he was describing how he had to run for the train, 870 00:49:13,440 --> 00:49:17,800 Speaker 2: and he describes again his words, his left breast flapping 871 00:49:18,239 --> 00:49:21,200 Speaker 2: and how there was pain under it, and so he 872 00:49:21,320 --> 00:49:24,920 Speaker 2: was like honorly um flitching and describing his own bodily 873 00:49:24,960 --> 00:49:28,000 Speaker 2: functions as well. So to me, my conclusion from that 874 00:49:28,120 --> 00:49:31,600 Speaker 2: experiment was that he had severe neurological trauma, not that 875 00:49:31,719 --> 00:49:34,640 Speaker 2: he was in denial. But that's interesting that that's how 876 00:49:34,640 --> 00:49:35,400 Speaker 2: that came across. 877 00:49:35,840 --> 00:49:39,120 Speaker 1: Yeah, I love that you have the most compassionate reads 878 00:49:39,120 --> 00:49:41,280 Speaker 1: of him. I might not be as nice a person 879 00:49:41,360 --> 00:49:43,319 Speaker 1: because sometimes I'm like, you danged all, would you stop 880 00:49:43,360 --> 00:49:45,560 Speaker 1: being so weird? But like we all are. 881 00:49:46,160 --> 00:49:50,160 Speaker 2: That's kind of my general reaction of people in life always, 882 00:49:50,200 --> 00:49:52,799 Speaker 2: Like my general reaction is to try and find the compassionate, 883 00:49:53,040 --> 00:49:55,120 Speaker 2: like what do we have in common? And why is 884 00:49:55,160 --> 00:49:58,239 Speaker 2: this difficult? But yeah, I think it also may have 885 00:49:58,280 --> 00:49:59,719 Speaker 2: bit different if I had to deal with him in 886 00:49:59,719 --> 00:50:00,240 Speaker 2: real life. 887 00:50:00,480 --> 00:50:05,040 Speaker 1: Right, he seems a little like a pill. Yeah, I 888 00:50:05,120 --> 00:50:07,640 Speaker 1: loved There was one line in the book where I 889 00:50:07,719 --> 00:50:10,439 Speaker 1: was like, I am in love with this sentence. You 890 00:50:10,520 --> 00:50:14,720 Speaker 1: describe Haldane and Helen Spurway as the Bonnie and Clyde 891 00:50:14,719 --> 00:50:17,400 Speaker 1: of clandestine genetics. 892 00:50:18,080 --> 00:50:20,920 Speaker 2: I'm glad you love that sentence, because yes, that's in 893 00:50:20,960 --> 00:50:25,560 Speaker 2: my head. They're like fully outfitted, like perfection. Yeah again, 894 00:50:25,640 --> 00:50:27,520 Speaker 2: you see all it is closed down and they're like 895 00:50:27,680 --> 00:50:32,040 Speaker 2: breaking into their experimental rooms. I loved to research with flies. 896 00:50:32,440 --> 00:50:36,760 Speaker 1: I love it so awesome, And obviously like their work 897 00:50:36,880 --> 00:50:43,839 Speaker 1: together bonded them so deeply because their relationship evolves from 898 00:50:43,840 --> 00:50:47,080 Speaker 1: a professional one and a working relationship to a personal one. 899 00:50:47,120 --> 00:50:48,759 Speaker 1: Will you talk a little bit about that. 900 00:50:50,000 --> 00:50:52,920 Speaker 2: Yeah, I feel like they were just a really unique 901 00:50:52,960 --> 00:50:58,239 Speaker 2: couple in the sense that they both had difficulty processing 902 00:50:58,680 --> 00:51:03,400 Speaker 2: social regular like social mandates and social norms, and I 903 00:51:03,440 --> 00:51:05,920 Speaker 2: think that was a big part of why they were 904 00:51:05,960 --> 00:51:09,720 Speaker 2: such a tightly knit couple almost from the moment they met. 905 00:51:10,320 --> 00:51:12,640 Speaker 2: So I mentioned earlier that JBS Haldane had been married 906 00:51:12,640 --> 00:51:15,680 Speaker 2: when they met, but his marriage had already been a 907 00:51:15,680 --> 00:51:19,799 Speaker 2: bit sour, and they didn't have a conventional marriage to 908 00:51:19,800 --> 00:51:22,640 Speaker 2: begin with. There's some indication that they were openly polyamorous 909 00:51:22,680 --> 00:51:25,560 Speaker 2: even at that time, but in the nineteen thirties, obviously 910 00:51:25,640 --> 00:51:29,320 Speaker 2: this was not socially acceptable. So when he met Helen 911 00:51:29,400 --> 00:51:33,799 Speaker 2: Spurway and they had this incredible bond over genetics, I 912 00:51:34,000 --> 00:51:37,439 Speaker 2: kind of loved that for them. I was cheering them 913 00:51:37,480 --> 00:51:42,840 Speaker 2: on because as someone who has like delighted in having 914 00:51:42,880 --> 00:51:46,719 Speaker 2: conversations at three am about inflammatory pathways in the liver, like, 915 00:51:47,040 --> 00:51:52,080 Speaker 2: I just really wanted that experience for somebody else, and 916 00:51:52,160 --> 00:51:58,239 Speaker 2: that that, plus they're their slight disconnect from society and 917 00:51:58,239 --> 00:52:01,239 Speaker 2: the way to communicate, made me feel like the two 918 00:52:01,320 --> 00:52:05,200 Speaker 2: of them really connected with things that were fundamentally important 919 00:52:05,200 --> 00:52:05,919 Speaker 2: to the both of them. 920 00:52:07,040 --> 00:52:09,000 Speaker 1: I also couldn't help out wondering if there's like a 921 00:52:09,040 --> 00:52:12,840 Speaker 1: degree of almost trauma bond with them at that point, 922 00:52:12,880 --> 00:52:16,240 Speaker 1: Like they have been through like secret science during the Blitz, 923 00:52:16,320 --> 00:52:19,160 Speaker 1: they are part of a really groundbreaking thing that they 924 00:52:19,200 --> 00:52:22,120 Speaker 1: never get to talk about. You know, they just have 925 00:52:22,360 --> 00:52:24,600 Speaker 1: like a unique thing where no one on earth understands 926 00:52:24,640 --> 00:52:27,359 Speaker 1: me but you, and you understand all of it. 927 00:52:28,080 --> 00:52:31,720 Speaker 2: They both went through their entire lives just like being 928 00:52:31,880 --> 00:52:37,560 Speaker 2: really really OTHEREDJBS hall Day because of his temper, so 929 00:52:37,680 --> 00:52:41,120 Speaker 2: that that part is slightly deserved, But his temper, in 930 00:52:41,160 --> 00:52:45,960 Speaker 2: my opinion, was from difficulty communicating with other people and 931 00:52:46,000 --> 00:52:48,440 Speaker 2: then held spur away. A lot of it was really 932 00:52:48,520 --> 00:52:51,839 Speaker 2: gendered a lot of the comments and reactions to her 933 00:52:52,160 --> 00:52:55,520 Speaker 2: were very very gendered. And she similarly just has this 934 00:52:55,560 --> 00:52:58,759 Speaker 2: passion where all they ever wanted to do was go 935 00:52:58,840 --> 00:53:04,160 Speaker 2: to lab and statistics on fruit flies, study genetics, and 936 00:53:04,200 --> 00:53:06,680 Speaker 2: they both are just like, I don't understand why there's 937 00:53:06,719 --> 00:53:09,879 Speaker 2: so many obstacles. But yeah, they both had their works 938 00:53:09,960 --> 00:53:13,239 Speaker 2: stolen from them because people didn't like them things like that, 939 00:53:13,480 --> 00:53:15,799 Speaker 2: So yeah, I would I would completely agree with you. 940 00:53:15,840 --> 00:53:18,840 Speaker 2: I think there's elements of trauma bonding, both from surviving 941 00:53:18,840 --> 00:53:22,960 Speaker 2: the war and also from the way that they interacted 942 00:53:23,000 --> 00:53:24,160 Speaker 2: with the rest of humanity. 943 00:53:25,480 --> 00:53:29,560 Speaker 1: Here's a million other question. If you could choose just 944 00:53:29,680 --> 00:53:32,000 Speaker 1: one thing for readers to take away from this book, 945 00:53:32,000 --> 00:53:36,759 Speaker 1: what would it be. I know it's hard because this 946 00:53:36,800 --> 00:53:39,560 Speaker 1: is a book dense with information and cool stories. 947 00:53:40,040 --> 00:53:43,719 Speaker 2: It's actually not that hard. I was taking a deep 948 00:53:43,719 --> 00:53:44,920 Speaker 2: breath because I have thoughts. 949 00:53:46,440 --> 00:53:48,919 Speaker 1: You're like, I'm just shifting gears. 950 00:53:48,600 --> 00:53:53,560 Speaker 2: Baby, Yeah, no, I know. This book started because I 951 00:53:53,600 --> 00:53:56,759 Speaker 2: wanted to write a book about scientistics fermenting on themselves. 952 00:53:57,480 --> 00:54:00,600 Speaker 2: So my original idea was a compilation of a multiple 953 00:54:00,960 --> 00:54:04,480 Speaker 2: multiple stories, and my agent, Lorie Apkmeyer, who's amazing and 954 00:54:04,719 --> 00:54:07,120 Speaker 2: always right, she was like, no, no, no, people will 955 00:54:07,280 --> 00:54:09,640 Speaker 2: lose track one story to the other. Pick one. Focus 956 00:54:09,719 --> 00:54:13,440 Speaker 2: on that. So that's what happened here. And the reason 957 00:54:13,440 --> 00:54:16,320 Speaker 2: that I wanted to write that book which didn't happen, 958 00:54:16,360 --> 00:54:20,160 Speaker 2: and this book, which did, is because I wanted to 959 00:54:20,239 --> 00:54:25,040 Speaker 2: give people a window into the humanity behind scientific results. 960 00:54:25,520 --> 00:54:28,520 Speaker 2: That's what I want people to take away. We're people, 961 00:54:29,560 --> 00:54:36,440 Speaker 2: were imperfect, We're genuinely doing our best. We're moving things forward. 962 00:54:36,800 --> 00:54:41,120 Speaker 2: Whenever we can. Sometimes we get bombed, sometimes we get 963 00:54:41,200 --> 00:54:44,760 Speaker 2: run out of funding. That all impacts research. So every 964 00:54:44,880 --> 00:54:47,520 Speaker 2: piece of scientific data, every recommendation that comes out, like 965 00:54:47,840 --> 00:54:51,479 Speaker 2: there's a story of humanity behind it. That's what I want. 966 00:54:51,719 --> 00:54:55,200 Speaker 1: We'd love it. Was there anything else you wanted to 967 00:54:55,320 --> 00:54:57,560 Speaker 1: share or talk about related to this that we haven't 968 00:54:57,600 --> 00:54:58,000 Speaker 1: touched on. 969 00:54:58,760 --> 00:55:01,000 Speaker 2: I can't think of anything, really. I think you've done 970 00:55:01,000 --> 00:55:03,800 Speaker 2: a really good job of letting me prattle on about 971 00:55:03,840 --> 00:55:05,440 Speaker 2: these people and how awesome they were. 972 00:55:05,840 --> 00:55:09,160 Speaker 1: Kidding, that's not prattling, that's like, you know. 973 00:55:09,600 --> 00:55:11,640 Speaker 2: I just want to emphasize again, like this book was 974 00:55:11,680 --> 00:55:15,359 Speaker 2: important to me because as Americans, we think about World 975 00:55:15,400 --> 00:55:19,359 Speaker 2: War Two as Pearl Harbor December seventh, nineteen forty one, 976 00:55:19,800 --> 00:55:22,840 Speaker 2: and then a time work occurs d Day, June sixth, 977 00:55:23,000 --> 00:55:27,480 Speaker 2: nineteen forty four. I'm like, that's kind of I'm guilty 978 00:55:27,520 --> 00:55:29,279 Speaker 2: of this too. I'm guilty of this too, But that's 979 00:55:29,360 --> 00:55:32,000 Speaker 2: that's sort of the history version we always get. And 980 00:55:32,080 --> 00:55:35,640 Speaker 2: so this book is kind of my answer to what 981 00:55:35,800 --> 00:55:39,799 Speaker 2: happened in between? Why did it take three years? Why 982 00:55:39,840 --> 00:55:42,440 Speaker 2: did what happened in between? What was life like? What 983 00:55:42,480 --> 00:55:45,960 Speaker 2: were people working on? How did what did we do 984 00:55:46,040 --> 00:55:48,439 Speaker 2: with that time to make D Day possible and save 985 00:55:48,480 --> 00:55:49,560 Speaker 2: as many lives as we could. 986 00:55:50,680 --> 00:55:53,280 Speaker 1: It's such a good read I highly recommend for anybody. 987 00:55:53,440 --> 00:55:57,480 Speaker 1: Chamber divers is out now pretty much wherever you can 988 00:55:57,480 --> 00:55:58,600 Speaker 1: get a book there it is. 989 00:55:59,680 --> 00:56:03,920 Speaker 2: Yeah, please support local bookstores if you're able, if you're 990 00:56:03,960 --> 00:56:06,400 Speaker 2: not able, libraries are great too. Libraries actually are a 991 00:56:06,400 --> 00:56:08,959 Speaker 2: way to support authors. There is a system there, yes, 992 00:56:10,000 --> 00:56:12,320 Speaker 2: And we just love a library, so yes. 993 00:56:12,480 --> 00:56:15,200 Speaker 1: Also, there are cool, great people at the library, so 994 00:56:15,280 --> 00:56:20,359 Speaker 1: go there. Doctor Rachel. Just seems like a funny way 995 00:56:20,440 --> 00:56:24,080 Speaker 1: to call you. Rachel. Thank you so much for spending 996 00:56:24,080 --> 00:56:27,880 Speaker 1: this time with us. I feel spoiled a whole hour 997 00:56:27,960 --> 00:56:30,600 Speaker 1: of science and science gossip with you. 998 00:56:31,360 --> 00:56:35,120 Speaker 2: Well, I'll be really honest, Holly, I'll talk about science 999 00:56:35,160 --> 00:56:37,279 Speaker 2: for hours to the wall. You know. 1000 00:56:38,400 --> 00:56:45,960 Speaker 1: Yeah, thanks again to doctor Rachel Lance. And that book 1001 00:56:46,040 --> 00:56:49,160 Speaker 1: once again is called Chamber divers If any of the 1002 00:56:49,200 --> 00:56:52,440 Speaker 1: things that she talked about in today's episode piqued your interest, 1003 00:56:52,520 --> 00:56:55,319 Speaker 1: there's so much more of it in the book and 1004 00:56:55,400 --> 00:56:59,160 Speaker 1: that's available now. Yeah, and be ready to read some 1005 00:56:59,200 --> 00:57:01,319 Speaker 1: things that may or may not make you a little 1006 00:57:01,360 --> 00:57:06,200 Speaker 1: bit squeamish but also impressed, terrified, and way more informed 1007 00:57:06,200 --> 00:57:09,600 Speaker 1: about how we have learned about pressure and the human body. 1008 00:57:10,840 --> 00:57:13,879 Speaker 1: I have some listener mail that I don't think will 1009 00:57:13,920 --> 00:57:18,520 Speaker 1: scare anybody. This is about our Margaret Night episode and 1010 00:57:18,640 --> 00:57:22,240 Speaker 1: it is from a listener also named Margaret, who writes 1011 00:57:22,320 --> 00:57:24,320 Speaker 1: I often listen to the podcast while I work on 1012 00:57:24,400 --> 00:57:26,640 Speaker 1: craft projects, and I just happen to be listening to 1013 00:57:26,680 --> 00:57:30,400 Speaker 1: the Margaret Night episode while I was threading my loom. Yes, 1014 00:57:30,640 --> 00:57:32,959 Speaker 1: as you said in the podcast, people do still hand 1015 00:57:33,000 --> 00:57:36,400 Speaker 1: weave on looms, including myself. I have a smallish for 1016 00:57:36,640 --> 00:57:40,080 Speaker 1: shaft loom that I make towels, scarves and fabrics for sewing. 1017 00:57:40,680 --> 00:57:43,280 Speaker 1: The shuttles I use are pointed and would probably be 1018 00:57:43,320 --> 00:57:45,400 Speaker 1: a bit painful if you got hit by one flying 1019 00:57:45,440 --> 00:57:48,080 Speaker 1: toward you, but you would have to be extremely unlucky 1020 00:57:48,080 --> 00:57:50,600 Speaker 1: to be hit hard enough for an injury. I do 1021 00:57:50,760 --> 00:57:54,000 Speaker 1: throw the shuttle with some vigor. My weaving instructor said, 1022 00:57:54,000 --> 00:57:56,240 Speaker 1: if your shuttle never comes flying out the end, you're 1023 00:57:56,280 --> 00:57:58,720 Speaker 1: not throwing it hard enough. The worst that has ever 1024 00:57:58,760 --> 00:58:00,920 Speaker 1: happened with my loom is this show goes clattering to 1025 00:58:00,960 --> 00:58:03,520 Speaker 1: the floor. I really enjoy the podcast and look forward 1026 00:58:03,560 --> 00:58:06,520 Speaker 1: to it every week. For pet tax I'm attaching pictures 1027 00:58:06,520 --> 00:58:11,120 Speaker 1: of my pups. Buzz and May both are named after astronauts. Okay, 1028 00:58:11,120 --> 00:58:13,600 Speaker 1: first of all, astronaut dogs. I'm here for all of it. 1029 00:58:13,720 --> 00:58:18,400 Speaker 1: Second of all, these puppies are so cute. They are 1030 00:58:18,480 --> 00:58:21,760 Speaker 1: little cobby angels and I want to kiss their faces. 1031 00:58:21,960 --> 00:58:24,840 Speaker 1: It just both looks so hilarious and adorable, and they're 1032 00:58:24,880 --> 00:58:28,120 Speaker 1: clearly like these are some good pet portraits that maybe 1033 00:58:28,160 --> 00:58:31,520 Speaker 1: we're taken at like an easter situation or a springtime thing. 1034 00:58:31,720 --> 00:58:37,120 Speaker 1: They're surrounded by flowers. They look like such good babies. Oh, 1035 00:58:37,200 --> 00:58:39,440 Speaker 1: Buzz and May you need some hugs and kisses, so 1036 00:58:39,480 --> 00:58:42,280 Speaker 1: hopefully Margaret will give you some pets and loves from us. 1037 00:58:43,560 --> 00:58:45,040 Speaker 1: Thank you for that. I you know, it's one of 1038 00:58:45,040 --> 00:58:47,680 Speaker 1: those things. I have known people that loom their own stuff, 1039 00:58:48,080 --> 00:58:50,040 Speaker 1: but I don't know very much about the process, and 1040 00:58:50,080 --> 00:58:52,240 Speaker 1: I have never heard about like, no, you have to 1041 00:58:52,320 --> 00:58:56,200 Speaker 1: throw your shut It can't be a long way to 1042 00:58:56,280 --> 00:58:59,640 Speaker 1: get it from one side to the other. Right, Yeah, 1043 00:58:59,640 --> 00:59:03,680 Speaker 1: I done like teeny tiny little projects on like baby 1044 00:59:04,040 --> 00:59:07,520 Speaker 1: versions of looms that are they're real in the sense 1045 00:59:07,520 --> 00:59:09,640 Speaker 1: that they're physical things that exist in the world, but 1046 00:59:09,680 --> 00:59:13,480 Speaker 1: they're not real looms. So that's a good bit of 1047 00:59:13,520 --> 00:59:19,160 Speaker 1: insight and also, you know, obviously safer than the automated 1048 00:59:19,200 --> 00:59:21,800 Speaker 1: ones that caused Margaret Knight to have to figure out 1049 00:59:21,840 --> 00:59:24,000 Speaker 1: a way to make a safety mechanism to prevent her 1050 00:59:24,040 --> 00:59:29,880 Speaker 1: coworkers from getting horribly injured. So, Margaret who wrote us, 1051 00:59:29,880 --> 00:59:32,240 Speaker 1: thank you for your email. If you would like to 1052 00:59:32,240 --> 00:59:34,840 Speaker 1: write us, you can do so at History Podcast at 1053 00:59:34,840 --> 00:59:38,120 Speaker 1: iHeartRadio dot com. You can also find us on social 1054 00:59:38,120 --> 00:59:40,240 Speaker 1: media as missed in History And if you have not 1055 00:59:40,280 --> 00:59:42,680 Speaker 1: subscribed to the show yet, that is easy as pie 1056 00:59:42,720 --> 00:59:44,760 Speaker 1: to do. You can do that on the iHeartRadio app 1057 00:59:44,840 --> 00:59:53,000 Speaker 1: or anywhere you listen to your favorite shows. Stuff you 1058 00:59:53,040 --> 00:59:56,120 Speaker 1: Missed in History Class is a production of iHeartRadio. For 1059 00:59:56,240 --> 01:00:00,840 Speaker 1: more podcasts from iHeartRadio, visit the iHeartRadio app podcasts, or 1060 01:00:00,880 --> 01:00:02,800 Speaker 1: wherever you listen to your favorite shows.