1 00:00:00,080 --> 00:00:02,719 Speaker 1: Hello, friends, just a heads up that on today's episode, 2 00:00:02,759 --> 00:00:05,159 Speaker 1: we're going to be talking about the history of anesthesia. 3 00:00:05,600 --> 00:00:09,480 Speaker 1: We'll also be discussing medical procedures in the pre anesthesia era, 4 00:00:09,960 --> 00:00:13,040 Speaker 1: and we'll touch on triggering topics like mental health crises 5 00:00:13,080 --> 00:00:24,720 Speaker 1: and suicides. Since one of my best friends is a 6 00:00:24,760 --> 00:00:27,880 Speaker 1: physicist who likes to get philosophical from time to time, 7 00:00:28,280 --> 00:00:31,840 Speaker 1: I sometimes find myself in discussions about time travel, which 8 00:00:31,960 --> 00:00:35,560 Speaker 1: inevitably bring up the question of when in space and time. 9 00:00:35,680 --> 00:00:36,640 Speaker 2: I'd like to be alive. 10 00:00:36,720 --> 00:00:39,560 Speaker 1: If it were up to me, it would be amazing 11 00:00:39,640 --> 00:00:43,840 Speaker 1: to see early human species create complex tools, or communicate 12 00:00:43,920 --> 00:00:46,920 Speaker 1: complicated ideas to each other for the first time, or 13 00:00:47,120 --> 00:00:50,840 Speaker 1: sit at a table with Antoine von Lewinhook and ask 14 00:00:50,920 --> 00:00:53,640 Speaker 1: him how to pronounce his name correctly while looking through 15 00:00:53,680 --> 00:00:57,320 Speaker 1: his microscope, to see microscopic creatures swimming around in a 16 00:00:57,400 --> 00:00:59,520 Speaker 1: drop of water, or to sit in the hall at 17 00:00:59,520 --> 00:01:02,560 Speaker 1: the Royal City Society when Charles Darwin and Alfred Russell 18 00:01:02,600 --> 00:01:05,679 Speaker 1: Wallace's theory of natural selection is shared publicly for the 19 00:01:05,680 --> 00:01:08,760 Speaker 1: first time. Any of those moments would be amazing to 20 00:01:08,800 --> 00:01:13,320 Speaker 1: witness firsthand, But my answer is way more practical. I 21 00:01:13,400 --> 00:01:15,800 Speaker 1: want to be alive in a time and place that 22 00:01:15,840 --> 00:01:22,800 Speaker 1: has good sanitation, antibiotics, and critically anesthesia. Doctor Lindsay Fitzharris 23 00:01:22,880 --> 00:01:25,319 Speaker 1: is a medical historian and author, and the prologue to 24 00:01:25,360 --> 00:01:28,880 Speaker 1: her book The Butchering Art makes it incredibly clear why 25 00:01:28,959 --> 00:01:32,320 Speaker 1: living in the age of anesthesia is super awesome. Here, 26 00:01:32,400 --> 00:01:34,399 Speaker 1: I'm going to recall a story from the beginning of 27 00:01:34,400 --> 00:01:37,920 Speaker 1: her book. It was December twenty first, eighteen forty six, 28 00:01:37,959 --> 00:01:41,360 Speaker 1: and the crowd of medical professionals and spectators were settling 29 00:01:41,360 --> 00:01:45,120 Speaker 1: in to the operating theater at London's University College Hospital. 30 00:01:45,640 --> 00:01:48,120 Speaker 1: In the middle of the room was a blood soaked table. 31 00:01:48,520 --> 00:01:51,360 Speaker 1: The floor was covered in sawdust to soak up the 32 00:01:51,440 --> 00:01:56,000 Speaker 1: anticipated forthcoming pools of blood. Surgery on that day would 33 00:01:56,000 --> 00:01:59,760 Speaker 1: be performed by the famous doctor Robert Liston, who was 34 00:01:59,760 --> 00:02:03,279 Speaker 1: well known for completing surgeries in thirty seconds or less. 35 00:02:03,920 --> 00:02:05,920 Speaker 1: And we know that it took thirty seconds or less 36 00:02:05,960 --> 00:02:10,240 Speaker 1: because he often started his surgeries by proclaiming time me, gentlemen, 37 00:02:10,680 --> 00:02:13,239 Speaker 1: time me. Now, if you have a limb that needs 38 00:02:13,240 --> 00:02:15,959 Speaker 1: to be amputated, you can be forgiven for wanting to 39 00:02:16,000 --> 00:02:17,440 Speaker 1: get it done by the guy who does. 40 00:02:17,320 --> 00:02:18,359 Speaker 2: It in under a minute. 41 00:02:18,480 --> 00:02:22,000 Speaker 1: But speed sometimes came at the cost of accuracy, as 42 00:02:22,080 --> 00:02:26,959 Speaker 1: Liston once coupled a like amputation with an accidental testicle ectomy. 43 00:02:27,720 --> 00:02:31,440 Speaker 1: Most people avoided surgeries at all costs. Not only was 44 00:02:31,480 --> 00:02:35,120 Speaker 1: it an absolutely miserable experience to be held down by 45 00:02:35,120 --> 00:02:38,000 Speaker 1: surgeon assistants while you were cut into, but if that 46 00:02:38,120 --> 00:02:41,960 Speaker 1: experience didn't kill you, subsequent infection often did. As this 47 00:02:42,080 --> 00:02:45,200 Speaker 1: was in the era before sterile technique and antibiotics, and 48 00:02:45,280 --> 00:02:48,600 Speaker 1: it was gruesome to watch too. Physician James Simpson once 49 00:02:48,720 --> 00:02:51,040 Speaker 1: fled an operating theater because it was too much for 50 00:02:51,120 --> 00:02:54,720 Speaker 1: him to watch a breast removal surgery. After escaping the theater, 51 00:02:54,840 --> 00:02:59,200 Speaker 1: he proclaimed that he would instead study law. He did, however, 52 00:02:59,240 --> 00:03:01,440 Speaker 1: go on to complete medical training, and we'll hear more 53 00:03:01,440 --> 00:03:04,679 Speaker 1: about his pioneering work on anesthetics for childbirth later in 54 00:03:04,720 --> 00:03:07,320 Speaker 1: the episode. But anyway, on this day, in front of 55 00:03:07,360 --> 00:03:10,640 Speaker 1: a crowded theater, Liston was trying the anesthetic ether for 56 00:03:10,680 --> 00:03:13,520 Speaker 1: the first time. A thirty six year old butcher who 57 00:03:13,560 --> 00:03:16,560 Speaker 1: needed a leg amputation was laying on the bench and 58 00:03:16,600 --> 00:03:20,280 Speaker 1: the ether was administered, knocking him out. The leg was 59 00:03:20,360 --> 00:03:23,960 Speaker 1: quickly sawed off, the arteries tied off, and the flesh 60 00:03:24,000 --> 00:03:27,320 Speaker 1: closed up. All this was completed in just a few minutes. 61 00:03:28,080 --> 00:03:31,320 Speaker 1: When the groggy patient came to, he looked at Liston 62 00:03:31,600 --> 00:03:34,320 Speaker 1: and asked, when would the surgery begin? 63 00:03:35,360 --> 00:03:39,480 Speaker 2: Amazing. Welcome to Daniel and Kelly's Extraordinary Universe. 64 00:03:52,880 --> 00:03:56,280 Speaker 3: Hi. I'm Daniel. I'm a particle physicist, and my most 65 00:03:56,400 --> 00:03:59,960 Speaker 3: terrifying experience with anesthesia was having my ten year old 66 00:04:00,000 --> 00:04:01,120 Speaker 3: old son go under. 67 00:04:01,400 --> 00:04:02,000 Speaker 4: Oh. 68 00:04:02,080 --> 00:04:03,320 Speaker 2: Hi, I'm Kelly Waitersmith. 69 00:04:03,360 --> 00:04:06,600 Speaker 1: I study space and parasites, and thus far, none of 70 00:04:06,600 --> 00:04:08,800 Speaker 1: my kids have had to go under anesthesia. I've had 71 00:04:08,840 --> 00:04:12,320 Speaker 1: anesthesia make me vomit and embarrass myself many times, but 72 00:04:12,360 --> 00:04:15,240 Speaker 1: I've never never been scared about it. What was so 73 00:04:15,280 --> 00:04:16,920 Speaker 1: scary about your kid going under. 74 00:04:16,960 --> 00:04:19,479 Speaker 3: The fact that nobody knows what they're doing or how 75 00:04:19,520 --> 00:04:22,400 Speaker 3: it works. And they're like, there's a pretty good chance 76 00:04:22,440 --> 00:04:24,200 Speaker 3: he'll wake up, And we're like, what. 77 00:04:24,920 --> 00:04:27,120 Speaker 1: Dan, you know it's more than just a pretty good chance. Like, 78 00:04:27,160 --> 00:04:29,240 Speaker 1: we've got a lot of experience with this by now. 79 00:04:29,600 --> 00:04:31,640 Speaker 3: Yeah, we have played a resturan roulette with this many 80 00:04:31,680 --> 00:04:34,919 Speaker 3: many times, and mostly people survive, and that all is 81 00:04:34,960 --> 00:04:39,040 Speaker 3: fine scientifically, But when it's your kid going under, it's 82 00:04:39,040 --> 00:04:43,200 Speaker 3: an emotional decision and probabilities and statistics are irrelevant. Yeah, 83 00:04:43,279 --> 00:04:44,240 Speaker 3: it's just terrifying. 84 00:04:44,400 --> 00:04:47,000 Speaker 1: Yeap, Have you ever said anything particularly stupid coming out 85 00:04:47,000 --> 00:04:51,560 Speaker 1: of anesthesia? 86 00:04:52,279 --> 00:04:54,080 Speaker 3: That assumes I don't say stupid things when I'm not 87 00:04:54,160 --> 00:04:57,720 Speaker 3: under anesthesia, So I think my distribution of intelligence and 88 00:04:57,760 --> 00:05:02,760 Speaker 3: stupid doesn't change. How about you? Have you said absurd 89 00:05:02,800 --> 00:05:04,240 Speaker 3: stuff coming out of anesthesia? 90 00:05:04,279 --> 00:05:07,400 Speaker 1: I don't remember, but Zach told me that after I 91 00:05:07,480 --> 00:05:10,000 Speaker 1: came out of a procedure, I just kept asking was 92 00:05:10,040 --> 00:05:12,560 Speaker 1: I polite to everyone? Was I polite to everyone? And 93 00:05:12,600 --> 00:05:14,920 Speaker 1: I just kept asking. I was really panicking about whether 94 00:05:15,000 --> 00:05:16,920 Speaker 1: or not I was polite to everyone, and Zach said 95 00:05:16,960 --> 00:05:21,960 Speaker 1: I was fine, and then I threw up. But I 96 00:05:22,000 --> 00:05:24,119 Speaker 1: didn't feel the procedure, which is great. 97 00:05:24,200 --> 00:05:27,000 Speaker 3: Well, I'm sure you're always polite to even when you're 98 00:05:27,040 --> 00:05:28,920 Speaker 3: in pain or when you're out of it. 99 00:05:29,080 --> 00:05:31,640 Speaker 2: Thanks. Yeah, apparently I really worry about that. 100 00:05:33,120 --> 00:05:34,919 Speaker 3: And I'm sure that today you're going to give us 101 00:05:34,960 --> 00:05:38,120 Speaker 3: a very painless tour of the history of anesthesia, what 102 00:05:38,160 --> 00:05:40,200 Speaker 3: we know about it, how we've discovered it, and how 103 00:05:40,200 --> 00:05:42,719 Speaker 3: many humans have suffered unnecessarily through history. 104 00:05:42,880 --> 00:05:46,000 Speaker 1: Yes, well, I am attempting today to politely answer a 105 00:05:46,040 --> 00:05:49,120 Speaker 1: wonderful question from our listener Eric, and let's go ahead 106 00:05:49,120 --> 00:05:50,240 Speaker 1: and hear that question. 107 00:05:50,360 --> 00:05:50,600 Speaker 2: Now. 108 00:05:51,160 --> 00:05:53,919 Speaker 5: Hey, there's a whole lot of important stuff that we 109 00:05:53,960 --> 00:05:57,680 Speaker 5: don't fully understand. Tangents as part of the plain episode 110 00:05:57,800 --> 00:06:00,640 Speaker 5: was my favorite part. I think I remember ones that 111 00:06:00,720 --> 00:06:02,479 Speaker 5: we don't really know how anesthesia works? 112 00:06:03,160 --> 00:06:03,679 Speaker 3: Is that true? 113 00:06:04,160 --> 00:06:07,839 Speaker 5: Seems like a cool episode idea history of anesthesia back 114 00:06:07,839 --> 00:06:10,120 Speaker 5: when getting someone really drunk was the best we could do, 115 00:06:10,640 --> 00:06:12,920 Speaker 5: to what we do now and if we actually understand it, 116 00:06:13,160 --> 00:06:15,280 Speaker 5: to the differences between anesthesia and sleep. 117 00:06:15,839 --> 00:06:16,200 Speaker 3: Thanks. 118 00:06:16,640 --> 00:06:18,760 Speaker 1: Oh my gosh, there are so many cool topics in 119 00:06:18,800 --> 00:06:21,160 Speaker 1: that question. I got to go down so many amazing 120 00:06:21,279 --> 00:06:24,599 Speaker 1: rabbit holes. And if you would like to submit a 121 00:06:24,680 --> 00:06:27,240 Speaker 1: question about whatever it is that keeps you up at night, 122 00:06:27,640 --> 00:06:31,440 Speaker 1: please send us those questions at questions at danieland Kelly 123 00:06:31,560 --> 00:06:32,239 Speaker 1: dot org. 124 00:06:32,560 --> 00:06:35,440 Speaker 3: This question makes me wonder how much we do and 125 00:06:35,520 --> 00:06:39,480 Speaker 3: don't know about why things work in medicine. I actually 126 00:06:39,480 --> 00:06:41,760 Speaker 3: asked Katrina about this when I read this question, and 127 00:06:41,880 --> 00:06:44,320 Speaker 3: she was like, you should be less surprised we don't 128 00:06:44,360 --> 00:06:48,840 Speaker 3: know how tailent all works. I was like, I'm less 129 00:06:48,839 --> 00:06:52,039 Speaker 3: surprised now, but I'm more terrified. I guess all right, Like, 130 00:06:52,080 --> 00:06:55,320 Speaker 3: basically our bodies are huge Rube Goldberg machines, and we 131 00:06:55,400 --> 00:06:57,520 Speaker 3: don't know how they work, but we have discovered if 132 00:06:57,560 --> 00:07:00,040 Speaker 3: you press this button and pull this lever, that this 133 00:07:00,080 --> 00:07:02,400 Speaker 3: thing happens, and now we rely on that for all 134 00:07:02,400 --> 00:07:03,520 Speaker 3: of modern medicine. 135 00:07:04,240 --> 00:07:06,680 Speaker 1: I think my scariest example of this, and I think 136 00:07:06,720 --> 00:07:08,320 Speaker 1: I've said this on the show before, so I'll keep 137 00:07:08,320 --> 00:07:10,160 Speaker 1: it brief. As I was talking to someone about why 138 00:07:10,200 --> 00:07:13,400 Speaker 1: deep brain stimulation works, where you essentially like stick an 139 00:07:13,400 --> 00:07:16,200 Speaker 1: electrode in the center of someone's brains and shock it, 140 00:07:16,600 --> 00:07:18,560 Speaker 1: which is usually to stop a seizure, and they were like, 141 00:07:18,800 --> 00:07:22,600 Speaker 1: we don't know. I was like, wow, we're shocking the 142 00:07:22,600 --> 00:07:24,760 Speaker 1: insides of people's brains and we're like it works, and 143 00:07:24,800 --> 00:07:26,640 Speaker 1: that's great, but why I know? 144 00:07:27,120 --> 00:07:27,440 Speaker 5: I know? 145 00:07:27,760 --> 00:07:29,320 Speaker 3: And the physicist to me wants to be like really 146 00:07:29,320 --> 00:07:32,000 Speaker 3: reductionists and be like, we have to understand how these 147 00:07:32,000 --> 00:07:34,000 Speaker 3: things work if we're going to do them right, like, 148 00:07:34,320 --> 00:07:36,440 Speaker 3: because who knows what other consequences there could be. And 149 00:07:36,480 --> 00:07:38,200 Speaker 3: also it makes me wonder like, how did we figure 150 00:07:38,240 --> 00:07:40,440 Speaker 3: this stuff out if we don't know how it works 151 00:07:40,520 --> 00:07:42,040 Speaker 3: or what it was going to do? Have we basically 152 00:07:42,080 --> 00:07:47,120 Speaker 3: just been experimenting on ourselves unethically on other people for millennia, 153 00:07:47,360 --> 00:07:50,400 Speaker 3: like this is terrible. On the other hand, like you know, 154 00:07:50,560 --> 00:07:52,280 Speaker 3: you've got to make progress. It's going to be a 155 00:07:52,280 --> 00:07:55,160 Speaker 3: long time before we have an understanding of the human 156 00:07:55,160 --> 00:07:58,760 Speaker 3: body that would satisfy a physicist. And we have kids 157 00:07:58,760 --> 00:08:01,120 Speaker 3: who need anesthesia when they go under. 158 00:08:01,000 --> 00:08:03,640 Speaker 1: So yeah, yeah, well, and so that's actually a really 159 00:08:03,720 --> 00:08:06,320 Speaker 1: nice transition into a book that I used to do 160 00:08:06,360 --> 00:08:08,559 Speaker 1: a bunch of the research for this episode. It's doctor 161 00:08:08,640 --> 00:08:12,760 Speaker 1: Lawrence Altman's book, Who Goes First, And it's essentially trying 162 00:08:12,760 --> 00:08:14,920 Speaker 1: to figure out who should we test this stuff out 163 00:08:14,920 --> 00:08:16,640 Speaker 1: on first to make sure that it's safe. And this 164 00:08:16,680 --> 00:08:20,240 Speaker 1: book is all about self experimentation in medicine. Basically doctors 165 00:08:20,240 --> 00:08:22,520 Speaker 1: who decided I am the right person to test it 166 00:08:22,560 --> 00:08:25,040 Speaker 1: on first because I understand the risks and I'm the 167 00:08:25,080 --> 00:08:27,440 Speaker 1: one who has the idea, and so they tested it 168 00:08:27,480 --> 00:08:29,920 Speaker 1: on themselves. And there's a lot of self experimentation in 169 00:08:29,920 --> 00:08:31,440 Speaker 1: the history of anesthesia. 170 00:08:31,560 --> 00:08:33,240 Speaker 3: Is that sort of on the down low? I know 171 00:08:33,280 --> 00:08:35,440 Speaker 3: that you're not allowed to experiment on people unless you 172 00:08:35,440 --> 00:08:38,280 Speaker 3: have all sorts of ethical reviews, et cetera. But are 173 00:08:38,320 --> 00:08:40,760 Speaker 3: there such reviews for experimenting on yourself. Can you basically 174 00:08:40,840 --> 00:08:42,600 Speaker 3: do anything you want to your own body? 175 00:08:42,800 --> 00:08:43,719 Speaker 2: Why should I start here? 176 00:08:44,640 --> 00:08:46,800 Speaker 1: So I got kind of interested in this question and 177 00:08:47,000 --> 00:08:49,480 Speaker 1: after World War Two, and I promise I won't do 178 00:08:49,520 --> 00:08:51,480 Speaker 1: like nearly one hundred years of history on this question. 179 00:08:51,520 --> 00:08:54,800 Speaker 1: But after World War two there was the Nuremberg Code, 180 00:08:55,080 --> 00:08:58,520 Speaker 1: and this was in response to the horrible experiments that 181 00:08:58,679 --> 00:09:02,040 Speaker 1: Nazi doctors did on people in their concentration camps. And 182 00:09:02,200 --> 00:09:04,160 Speaker 1: one of the things that they were encouraging was like, 183 00:09:04,160 --> 00:09:06,320 Speaker 1: if you're going to do a procedure on someone, you 184 00:09:06,400 --> 00:09:08,240 Speaker 1: need to be willing or actually you need to do 185 00:09:08,280 --> 00:09:10,959 Speaker 1: it on yourself, because that is a way to show 186 00:09:10,960 --> 00:09:13,440 Speaker 1: that like you think this is safe, you're invested, blah 187 00:09:13,440 --> 00:09:13,800 Speaker 1: blah blah. 188 00:09:13,840 --> 00:09:15,959 Speaker 2: So for a while there it was encouraged for people 189 00:09:16,000 --> 00:09:16,960 Speaker 2: to do it on themselves. 190 00:09:17,440 --> 00:09:20,200 Speaker 1: Now, you're not supposed to experiment on yourself unless you 191 00:09:20,240 --> 00:09:23,360 Speaker 1: were included in the permits and protocols that you submitted 192 00:09:23,400 --> 00:09:26,520 Speaker 1: to get permission. And so you can say I need 193 00:09:26,559 --> 00:09:28,480 Speaker 1: one hundred subjects and the first one is going to 194 00:09:28,480 --> 00:09:30,840 Speaker 1: be me. But yeah, you're not supposed to just willing 195 00:09:30,920 --> 00:09:33,680 Speaker 1: nilly experiment on yourself. Though I have heard of people 196 00:09:33,679 --> 00:09:35,280 Speaker 1: who do that anyway. 197 00:09:36,840 --> 00:09:39,560 Speaker 3: And I wonder if once you do that, if you 198 00:09:39,640 --> 00:09:42,800 Speaker 3: break the rules, if that did is not allowed to 199 00:09:42,800 --> 00:09:45,640 Speaker 3: be considered in future questions, you know, sort of like 200 00:09:45,679 --> 00:09:48,800 Speaker 3: doctor Mangela's data, or if they're like, well, you have 201 00:09:48,920 --> 00:09:51,400 Speaker 3: this data, you did it already, so let's use it. 202 00:09:51,520 --> 00:09:51,720 Speaker 3: You know. 203 00:09:51,720 --> 00:09:53,880 Speaker 1: I've also come a lot across a lot of examples 204 00:09:53,920 --> 00:09:57,520 Speaker 1: where people have experimented on themselves. They got the answer 205 00:09:57,520 --> 00:10:00,240 Speaker 1: they expected, and then they moved forward as so they 206 00:10:00,320 --> 00:10:02,199 Speaker 1: knew what they needed to know, but it's turned out 207 00:10:02,240 --> 00:10:06,680 Speaker 1: their sample size of one was completely misleading. And I've 208 00:10:06,679 --> 00:10:09,440 Speaker 1: seen this in like, you know, trials for vaccines. Yeah, 209 00:10:09,559 --> 00:10:12,240 Speaker 1: not anymore, these kinds of data would not fly anymore. 210 00:10:12,320 --> 00:10:14,560 Speaker 1: Just to be clear, okay, but in the past, people 211 00:10:14,600 --> 00:10:16,800 Speaker 1: have like tried a vaccine on themselves, been like this 212 00:10:16,880 --> 00:10:19,280 Speaker 1: worked great on me, and then distributed it widely and 213 00:10:19,320 --> 00:10:22,080 Speaker 1: turned out it works very different in different kinds of bodies. 214 00:10:22,400 --> 00:10:24,960 Speaker 1: So you can learn something from a sample size of one, 215 00:10:24,960 --> 00:10:26,839 Speaker 1: but then you need to follow it up with much better, 216 00:10:27,120 --> 00:10:28,520 Speaker 1: much more broad trials. 217 00:10:29,000 --> 00:10:31,480 Speaker 3: So let's zoom in and talk about today's topic, which 218 00:10:31,520 --> 00:10:33,760 Speaker 3: is not how the whole human body works, but how 219 00:10:33,800 --> 00:10:36,600 Speaker 3: we put parts of it to sleep. Yeah, let's go 220 00:10:36,760 --> 00:10:39,760 Speaker 3: all the way back to very early history, like what 221 00:10:39,840 --> 00:10:43,160 Speaker 3: were people doing thousands of years ago when they needed 222 00:10:43,160 --> 00:10:44,120 Speaker 3: to have surgery? 223 00:10:44,600 --> 00:10:46,960 Speaker 1: So I don't know many thousands of years ago, but 224 00:10:47,040 --> 00:10:49,800 Speaker 1: something like one to two thousand years ago. We were 225 00:10:49,880 --> 00:10:52,439 Speaker 1: just trying stuff out, which is maybe not so different 226 00:10:52,480 --> 00:10:54,840 Speaker 1: than what we do now, but we've got better evidence now. 227 00:10:54,880 --> 00:10:59,640 Speaker 1: But so there's evidence of Chinese and Arab positions inhaling 228 00:10:59,760 --> 00:11:02,760 Speaker 1: very kinds of drugs, mixing things in alcohol, and this 229 00:11:02,840 --> 00:11:06,640 Speaker 1: apparently helped with surgery, but we've sort of lost the recipes. 230 00:11:06,880 --> 00:11:09,680 Speaker 3: The physicians were doing drugs and that helped them with 231 00:11:09,679 --> 00:11:11,920 Speaker 3: the surgery, or the patients are getting the truck. 232 00:11:13,120 --> 00:11:16,360 Speaker 1: If I needed to amputate someone's limb, maybe I would 233 00:11:16,400 --> 00:11:19,439 Speaker 1: want to be not completely present for that process. 234 00:11:19,520 --> 00:11:21,840 Speaker 3: But it's like past the pipe there, dude, when you're done. 235 00:11:21,760 --> 00:11:22,920 Speaker 2: With this, that's right, that's right. 236 00:11:23,240 --> 00:11:25,679 Speaker 1: But so we don't really have great data on what 237 00:11:25,720 --> 00:11:27,680 Speaker 1: it was that they were doing, but we do have 238 00:11:27,760 --> 00:11:30,840 Speaker 1: some fun stories from like French surgeons from a long 239 00:11:30,880 --> 00:11:33,640 Speaker 1: time ago who would knock people out, not with drugs, 240 00:11:33,679 --> 00:11:36,280 Speaker 1: but by putting a wooden bowl over someone's head and 241 00:11:36,360 --> 00:11:39,600 Speaker 1: hitting it with a hammer to like literally knock you out, 242 00:11:39,760 --> 00:11:42,520 Speaker 1: Oh my gosh. And then for a while, attempting to 243 00:11:42,559 --> 00:11:46,600 Speaker 1: mesmerize patients, you know, like hypnotizing them was popular. But 244 00:11:46,640 --> 00:11:48,720 Speaker 1: then it became clear that some people were saying this 245 00:11:48,800 --> 00:11:50,840 Speaker 1: worked and they were actually just like tricking a bunch 246 00:11:50,840 --> 00:11:53,240 Speaker 1: of people, so that fell out of favor. But then 247 00:11:53,440 --> 00:11:56,600 Speaker 1: what is kind of frustrating is that, around seventeen ninety 248 00:11:56,679 --> 00:12:02,120 Speaker 1: nine it was discovered that actuallyitrous oxide does make it 249 00:12:02,160 --> 00:12:05,120 Speaker 1: so that you don't feel pain. So Humphrey Davy was 250 00:12:05,120 --> 00:12:05,960 Speaker 1: he a physics guy? 251 00:12:06,200 --> 00:12:07,280 Speaker 3: I don't know, I've never heard of him. 252 00:12:07,840 --> 00:12:09,599 Speaker 2: Oh gosh. I heard his name before, and I just 253 00:12:09,640 --> 00:12:10,800 Speaker 2: assumed he was a physicist. 254 00:12:12,840 --> 00:12:15,120 Speaker 1: Why did you assume he was a physicist, because people 255 00:12:15,160 --> 00:12:16,720 Speaker 1: don't care about old biologists. 256 00:12:19,440 --> 00:12:19,600 Speaker 4: Uh. 257 00:12:20,040 --> 00:12:21,400 Speaker 3: He sounds to me like a guy who would sit 258 00:12:21,440 --> 00:12:22,600 Speaker 3: on a wall and fall off. 259 00:12:22,480 --> 00:12:24,720 Speaker 2: And crack yep, yep. Oh he's a chemist. 260 00:12:24,800 --> 00:12:27,520 Speaker 3: Oh god, all right, yeah, knock him off that wall. 261 00:12:27,600 --> 00:12:28,400 Speaker 2: That's right, that's right. 262 00:12:28,679 --> 00:12:31,840 Speaker 1: So in seventeen ninety nine, Humphrey Davy had a job 263 00:12:31,880 --> 00:12:34,640 Speaker 1: where he was experimenting on various things, and one of 264 00:12:34,679 --> 00:12:37,240 Speaker 1: the things he was experimenting with was nitrous oxide. Which 265 00:12:37,280 --> 00:12:40,480 Speaker 1: is also called laughing gas. And he was experimenting with 266 00:12:40,600 --> 00:12:44,360 Speaker 1: his friends, who included the poet Samuel Taylor Cooleridge and 267 00:12:44,600 --> 00:12:47,720 Speaker 1: doctor Peter Roget who was the guy who compiled with Thesaurus. 268 00:12:48,000 --> 00:12:51,120 Speaker 1: But anyway, they were sort of like knocking themselves out 269 00:12:51,120 --> 00:12:55,840 Speaker 1: with nitrous oxide, and Humphrey Davy mentioned, oh, hey, when 270 00:12:55,840 --> 00:12:58,280 Speaker 1: I take this, my headaches go away and my wisdom 271 00:12:58,320 --> 00:13:01,240 Speaker 1: teeth don't hurt anymore, And so he noted it could 272 00:13:01,320 --> 00:13:04,480 Speaker 1: be used for surgeries to remove pain. But then he 273 00:13:04,559 --> 00:13:06,800 Speaker 1: goes on and does other stuff, like he gets knighted 274 00:13:06,840 --> 00:13:10,280 Speaker 1: for inventing the minors safety lamp, and he never pursues 275 00:13:10,920 --> 00:13:13,800 Speaker 1: this line of reasoning. So from as early as seventeen 276 00:13:13,880 --> 00:13:16,880 Speaker 1: ninety nine, we could have been using things like nitrous 277 00:13:16,880 --> 00:13:20,320 Speaker 1: oxide to knock people out in surgeries. But this just 278 00:13:20,360 --> 00:13:22,920 Speaker 1: sort of like disappeared into the ether and was an 279 00:13:22,960 --> 00:13:25,360 Speaker 1: idea that didn't get followed up on chemists. 280 00:13:25,440 --> 00:13:28,640 Speaker 3: Oh my gosh, what are you doing keeping secrets of 281 00:13:28,720 --> 00:13:30,640 Speaker 3: painless surgery from the masses? 282 00:13:30,720 --> 00:13:32,920 Speaker 1: Well, I mean no, he shared this result like in 283 00:13:33,000 --> 00:13:35,360 Speaker 1: a report, but then he moved on to other things. 284 00:13:36,080 --> 00:13:37,960 Speaker 2: But you know, let's both agree that chemists could be 285 00:13:38,000 --> 00:13:38,440 Speaker 2: doing better. 286 00:13:39,640 --> 00:13:43,040 Speaker 3: So before seventeen nine nine, before the discovery of nitrous oxide, 287 00:13:43,160 --> 00:13:45,240 Speaker 3: people would just like Grin and Barrett, you know, they 288 00:13:45,240 --> 00:13:48,520 Speaker 3: would like drink whiskey or smoke cannabis or pull from 289 00:13:48,520 --> 00:13:51,040 Speaker 3: the opium pipe. It must have meant that a lot 290 00:13:51,080 --> 00:13:54,360 Speaker 3: of people like avoided necessary surgeries because they were just like, yeah, 291 00:13:54,400 --> 00:13:55,200 Speaker 3: it's just not worth it. 292 00:13:55,440 --> 00:13:57,920 Speaker 1: Yeah, So literally you would be you know, you'd take 293 00:13:57,960 --> 00:14:01,360 Speaker 1: a couple shots of some alcohol. Of big dudes would 294 00:14:01,400 --> 00:14:03,880 Speaker 1: be brought in to hold you down, and then the 295 00:14:03,920 --> 00:14:06,559 Speaker 1: surgeon would try to do things as fast as they could. 296 00:14:06,600 --> 00:14:09,800 Speaker 1: And so surgeons were often picked not for their skill 297 00:14:10,320 --> 00:14:13,680 Speaker 1: but for their ability to saw through things really super fast. 298 00:14:14,280 --> 00:14:16,920 Speaker 1: Lindsay Fitzharris has this great book called The Butchering Art 299 00:14:17,000 --> 00:14:20,520 Speaker 1: that included a bunch of stories of really horrible things, 300 00:14:20,560 --> 00:14:22,920 Speaker 1: like a surgeon who was trying to cut through a 301 00:14:23,000 --> 00:14:25,760 Speaker 1: leg and did it really fast and also took half 302 00:14:25,800 --> 00:14:30,400 Speaker 1: of a scrotum with the leg and no bonus, I 303 00:14:30,480 --> 00:14:34,560 Speaker 1: guess not for the guy who was under the knife. 304 00:14:34,720 --> 00:14:36,200 Speaker 1: But yeah, So there were a lot of surgeries that 305 00:14:36,240 --> 00:14:38,680 Speaker 1: they wouldn't do. Like maybe they had an inkling that 306 00:14:38,760 --> 00:14:41,720 Speaker 1: surgery would help in this case, but it was a 307 00:14:41,720 --> 00:14:43,520 Speaker 1: procedure that just would have been too hard to hold 308 00:14:43,520 --> 00:14:45,640 Speaker 1: someone down for they might have lost too much blood. 309 00:14:45,960 --> 00:14:48,400 Speaker 1: And so only the things that could be done fast 310 00:14:48,520 --> 00:14:50,360 Speaker 1: were done, and they were done by people who were 311 00:14:50,360 --> 00:14:53,080 Speaker 1: moving quickly, perhaps at the expense of moving carefully. 312 00:14:53,360 --> 00:14:55,640 Speaker 3: Right, maybe it's more of a last ditch option. 313 00:14:55,920 --> 00:14:56,560 Speaker 2: Oh god, yeah. 314 00:14:56,640 --> 00:14:59,040 Speaker 3: Well, But as a research and nerd, I'm curious, how 315 00:14:59,040 --> 00:15:02,800 Speaker 3: do we know these things about the earliest surgeries, Like 316 00:15:02,920 --> 00:15:06,600 Speaker 3: do we have written records from China or you know, 317 00:15:07,000 --> 00:15:09,840 Speaker 3: the Islamic world, or what is the sort of earliest 318 00:15:09,880 --> 00:15:11,960 Speaker 3: record we have of medicine and surgery. 319 00:15:12,080 --> 00:15:14,920 Speaker 1: So the earliest record that I came across while doing 320 00:15:14,960 --> 00:15:18,320 Speaker 1: the research was two hundred CE where a Chinese physician 321 00:15:18,560 --> 00:15:22,400 Speaker 1: was mixing alcohol with some other stuff. But the references 322 00:15:22,400 --> 00:15:24,920 Speaker 1: that I read never included and we learned this from 323 00:15:25,000 --> 00:15:27,960 Speaker 1: an ancient scroll that was found in such and such 324 00:15:28,000 --> 00:15:29,960 Speaker 1: tomb or something like that. So I don't know the 325 00:15:30,000 --> 00:15:33,120 Speaker 1: history of how this information came to be known, but 326 00:15:33,200 --> 00:15:36,200 Speaker 1: I do know that more recently, for example, some of 327 00:15:36,200 --> 00:15:38,640 Speaker 1: the stuff I'm going to be talking about next was 328 00:15:38,760 --> 00:15:41,600 Speaker 1: like in the news and in letters written from one 329 00:15:41,600 --> 00:15:44,400 Speaker 1: physician to another. But this was all much more recent fascinating. 330 00:15:44,400 --> 00:15:46,760 Speaker 3: I wonder what they did in ancient Egypt, for example. 331 00:15:46,800 --> 00:15:49,520 Speaker 3: You know those guys are pretty advanced, especially in surgery, 332 00:15:49,600 --> 00:15:51,840 Speaker 3: or are They like took organs out and put them 333 00:15:51,840 --> 00:15:54,280 Speaker 3: in weird vessels and stuff, so they knew their way 334 00:15:54,320 --> 00:15:55,000 Speaker 3: around a body. 335 00:15:55,280 --> 00:15:57,680 Speaker 1: Does it count as surgery if they're dead? Though, Like, 336 00:15:57,760 --> 00:15:58,440 Speaker 1: I mean, it didn't. 337 00:15:59,760 --> 00:15:59,960 Speaker 2: I think. 338 00:16:00,000 --> 00:16:02,760 Speaker 1: I think they were also unimpressed with the brain, for example, 339 00:16:02,800 --> 00:16:04,440 Speaker 1: and thought that, like the heart is where most of 340 00:16:04,440 --> 00:16:06,880 Speaker 1: the important stuff happened. So I don't know that i'd 341 00:16:06,880 --> 00:16:10,480 Speaker 1: want an ancient Egyptian surgeon to be working on me. 342 00:16:11,640 --> 00:16:13,640 Speaker 3: All right, So let's fast forward back to the present. 343 00:16:13,720 --> 00:16:17,360 Speaker 3: You said, Humphrey Davy missed his opportunity to save people 344 00:16:17,400 --> 00:16:20,280 Speaker 3: from pain and just enjoyed hanging out with his friends 345 00:16:20,360 --> 00:16:23,600 Speaker 3: Sam Coleridge and Peter Rodgit. What happened next? When did 346 00:16:23,640 --> 00:16:26,200 Speaker 3: we actually start to figure stuff out and use it 347 00:16:26,280 --> 00:16:27,720 Speaker 3: to save people from suffering. 348 00:16:27,960 --> 00:16:30,560 Speaker 1: Well before we were saving people from suffering, we were 349 00:16:30,680 --> 00:16:33,680 Speaker 1: allowing people to have a really stinking good time. And 350 00:16:33,760 --> 00:16:37,360 Speaker 1: so in the early to mid eighteen hundreds, there were 351 00:16:37,400 --> 00:16:40,960 Speaker 1: events called ether frolics or jags, where essentially people would 352 00:16:41,000 --> 00:16:44,840 Speaker 1: get together huff ether and appreciate how awesome it made 353 00:16:44,880 --> 00:16:48,640 Speaker 1: you feel. And there was no sort of surgical implication 354 00:16:48,840 --> 00:16:51,240 Speaker 1: or plans to understand how this would work in surgery. 355 00:16:51,280 --> 00:16:54,080 Speaker 1: It was just like, whoa, it's really fun when you 356 00:16:54,160 --> 00:16:56,520 Speaker 1: huff ether or huff nitrous oxide. 357 00:16:56,560 --> 00:16:59,760 Speaker 3: And let's have a biology physics disentanglement moment here, because 358 00:17:00,040 --> 00:17:04,359 Speaker 3: physics ether refers to this concept that space is filled 359 00:17:04,400 --> 00:17:08,080 Speaker 3: with something for like to propagate through, famously disproven by 360 00:17:08,160 --> 00:17:11,400 Speaker 3: the Michaelson Morley experiment in the late eighteen hundreds. That's 361 00:17:11,480 --> 00:17:14,400 Speaker 3: not where people are snuffing at your biology parties. 362 00:17:14,160 --> 00:17:17,080 Speaker 1: Right, No, a chemist would tell you that ether is 363 00:17:17,440 --> 00:17:21,240 Speaker 1: an organic compound. It's a mix of oxygen with alkyl groups. 364 00:17:21,240 --> 00:17:22,720 Speaker 1: And you know, we both know that I don't know 365 00:17:22,800 --> 00:17:26,360 Speaker 1: much about chemistry, but no, it's not a made up 366 00:17:26,440 --> 00:17:27,919 Speaker 1: idea it is. 367 00:17:28,240 --> 00:17:29,880 Speaker 2: It's an actual chemical compound. 368 00:17:30,119 --> 00:17:32,119 Speaker 3: And what happens when you sniff it, you just like 369 00:17:32,240 --> 00:17:34,280 Speaker 3: feel good or you pass out or what happens. 370 00:17:34,440 --> 00:17:36,560 Speaker 1: Well, we'll go into more detail about what it's doing 371 00:17:36,560 --> 00:17:38,080 Speaker 1: to the brain a little bit later, but for the 372 00:17:38,080 --> 00:17:40,119 Speaker 1: purpose of these parties, it just sort of made you 373 00:17:40,160 --> 00:17:43,000 Speaker 1: feel kind of silly and anything that heard stopped hurting 374 00:17:43,520 --> 00:17:45,080 Speaker 1: and you'd laugh a lot more. 375 00:17:45,200 --> 00:17:47,399 Speaker 2: And you know that all sounds fantastic. 376 00:17:47,080 --> 00:17:48,720 Speaker 3: That sounds great. Why did you go out of fashion? 377 00:17:49,000 --> 00:17:51,960 Speaker 1: Well, because it's also kind of dangerous. It can lead 378 00:17:51,960 --> 00:17:54,560 Speaker 1: to vomiting and death, and if you do it too often, 379 00:17:55,080 --> 00:17:58,560 Speaker 1: it can like impact your organs, and it's yeah, bad news. 380 00:17:59,080 --> 00:18:01,640 Speaker 1: And we will encounter worries about some people who are 381 00:18:01,680 --> 00:18:03,800 Speaker 1: thought to have maybe gone a little bit mad on 382 00:18:03,880 --> 00:18:06,160 Speaker 1: account of all the ether and stuff they were taken. 383 00:18:06,240 --> 00:18:10,119 Speaker 2: Probably chemists, yeah, I know, right, almost certainly chemists. God guys. 384 00:18:10,480 --> 00:18:13,440 Speaker 1: All right, so let's take a break here, and when 385 00:18:13,480 --> 00:18:15,879 Speaker 1: we get back from the break, we'll talk about the 386 00:18:16,040 --> 00:18:19,960 Speaker 1: four men who brought anesthetics to the medical world and 387 00:18:20,240 --> 00:18:24,000 Speaker 1: their downfall afterwards as they all fought for credit for 388 00:18:24,080 --> 00:18:25,879 Speaker 1: being the first to come up with this idea. 389 00:18:26,040 --> 00:18:48,240 Speaker 4: Oh no, all right, we're back. 390 00:18:48,359 --> 00:18:52,399 Speaker 1: We were talking about ether parties, which do sound fun, 391 00:18:52,440 --> 00:18:55,919 Speaker 1: but I would not engage in an ether party because I'm. 392 00:18:55,760 --> 00:18:59,119 Speaker 3: A whimp and you're so wholesome, Kelly. 393 00:18:59,359 --> 00:18:59,560 Speaker 2: Yeah. 394 00:18:59,640 --> 00:19:03,440 Speaker 1: I work in this lab once where somebody said something 395 00:19:03,480 --> 00:19:08,080 Speaker 1: to me to the effect of you're really nice, and 396 00:19:08,119 --> 00:19:12,280 Speaker 1: it was like, in a condescending I've never had anyone 397 00:19:12,359 --> 00:19:15,000 Speaker 1: be like, you're nice and that kind of sucks. But 398 00:19:15,160 --> 00:19:17,640 Speaker 1: like anyway, so I have been told that I'm not fun, 399 00:19:17,680 --> 00:19:18,280 Speaker 1: but that's fine. 400 00:19:18,359 --> 00:19:19,000 Speaker 2: I'm not fun. 401 00:19:19,160 --> 00:19:20,720 Speaker 3: You're a lot of fun. You're a lot of ways. 402 00:19:20,760 --> 00:19:22,439 Speaker 3: Let me ask you a more personal question, which is 403 00:19:22,880 --> 00:19:26,679 Speaker 3: what is your drug of choice? Are you an alcohol drinker? 404 00:19:26,960 --> 00:19:30,120 Speaker 3: Do you chew on banana peels? How does Kelly unwined? 405 00:19:30,320 --> 00:19:33,080 Speaker 1: Kelly does not enjoy chewing on banana peels at all. 406 00:19:34,240 --> 00:19:38,240 Speaker 1: It makes Kelly feel really uncomfortable. Kelly enjoys a glass 407 00:19:38,240 --> 00:19:42,760 Speaker 1: of red wine and caffeine. Kelly mostly lives a stimulant 408 00:19:42,760 --> 00:19:45,200 Speaker 1: free like you know what. Kelly's favorite stimulant is the 409 00:19:45,240 --> 00:19:46,600 Speaker 1: anti anxiety medication. 410 00:19:46,680 --> 00:19:48,560 Speaker 2: She's hot. That's how eye roll. 411 00:19:51,080 --> 00:19:52,200 Speaker 3: That's the modern day ether. 412 00:19:52,359 --> 00:19:52,920 Speaker 2: What about you. 413 00:19:53,400 --> 00:19:55,760 Speaker 3: I'm a big believer in caffeine as well, and I 414 00:19:55,880 --> 00:19:58,840 Speaker 3: enjoy red wine, and for many years I did also 415 00:19:59,040 --> 00:20:02,959 Speaker 3: enjoy banana peel. It helped to stimulate some creativity in 416 00:20:03,000 --> 00:20:05,040 Speaker 3: my research, but no longer. 417 00:20:05,160 --> 00:20:09,520 Speaker 1: Ah well, we all have had youthful indiscretions. 418 00:20:10,640 --> 00:20:13,280 Speaker 3: All right, So now let's talk about the indiscretions of 419 00:20:13,560 --> 00:20:16,160 Speaker 3: various men in history who brought us anesthesia. 420 00:20:16,280 --> 00:20:18,520 Speaker 1: So the first person we're going to chat about is 421 00:20:18,560 --> 00:20:21,400 Speaker 1: doctor Crawford Long, and he was at one of these 422 00:20:21,520 --> 00:20:24,760 Speaker 1: ether frolics and he was really enjoying it, and he 423 00:20:24,880 --> 00:20:27,800 Speaker 1: noted to himself that when he or others did things 424 00:20:27,800 --> 00:20:30,840 Speaker 1: that should be painful, they didn't seem to feel the pain. 425 00:20:30,960 --> 00:20:34,600 Speaker 1: And he was a physician and this made him think, oh, 426 00:20:34,760 --> 00:20:38,000 Speaker 1: you know, maybe this could be used in surgery. And 427 00:20:38,000 --> 00:20:40,400 Speaker 1: so he was the first person to actually test it out. 428 00:20:40,480 --> 00:20:43,760 Speaker 1: So he had a patient who needed two small cysts removed, 429 00:20:44,160 --> 00:20:46,640 Speaker 1: and the patient was nervous about getting the surgery done 430 00:20:46,640 --> 00:20:48,399 Speaker 1: because it was painful, and he was like, look, this 431 00:20:48,480 --> 00:20:50,919 Speaker 1: isn't critical. I don't want these things taken out. And 432 00:20:50,960 --> 00:20:54,359 Speaker 1: the patient had also tried ether recreationally and really enjoyed it, 433 00:20:54,640 --> 00:20:56,439 Speaker 1: and so Long was like, look, let's try it. 434 00:20:56,480 --> 00:20:57,720 Speaker 2: I'm going to put you under the ether. 435 00:20:58,480 --> 00:21:00,360 Speaker 1: You know that you don't feel as much much pain 436 00:21:00,440 --> 00:21:02,280 Speaker 1: under the ether, so let's see how it goes. And 437 00:21:02,400 --> 00:21:06,199 Speaker 1: actually it went great. Wow, and Long started using this 438 00:21:06,359 --> 00:21:10,160 Speaker 1: gas for other operations as well. But the big thing 439 00:21:10,240 --> 00:21:13,199 Speaker 1: here is that he didn't share this information with the 440 00:21:13,240 --> 00:21:16,320 Speaker 1: medical profession widely, so he didn't like write a paper 441 00:21:16,600 --> 00:21:19,200 Speaker 1: or go to a surgery that was watched by a 442 00:21:19,240 --> 00:21:21,439 Speaker 1: lot of other people. So at the time, surgeries were 443 00:21:21,480 --> 00:21:25,440 Speaker 1: done in operating theaters where students of medicine were sort 444 00:21:25,480 --> 00:21:27,440 Speaker 1: of sitting in the same room. So now, like you know, 445 00:21:27,480 --> 00:21:29,879 Speaker 1: if you've watched Gray's Anatomy, you know that there is 446 00:21:29,960 --> 00:21:32,399 Speaker 1: like a elevated area and you can be behind glass 447 00:21:32,400 --> 00:21:33,440 Speaker 1: and you can sort of peek in. 448 00:21:33,600 --> 00:21:35,240 Speaker 3: Like a splash guard there and make sure, you know, 449 00:21:35,320 --> 00:21:36,200 Speaker 3: get sprayed in the face. 450 00:21:36,440 --> 00:21:39,240 Speaker 1: I'm wondering if maybe they're protecting the patient more than anything, 451 00:21:39,320 --> 00:21:41,240 Speaker 1: like you're you know, when you sneeze, they don't want 452 00:21:41,240 --> 00:21:43,360 Speaker 1: the germs settling into the patient's abdomen. 453 00:21:43,480 --> 00:21:45,400 Speaker 3: But uh, I wonder if they used to pass around 454 00:21:45,520 --> 00:21:47,359 Speaker 3: raincoats the way they do it like SeaWorld in the 455 00:21:47,359 --> 00:21:48,480 Speaker 3: first few rows, you know. 456 00:21:48,640 --> 00:21:49,560 Speaker 2: Oh so gross. 457 00:21:50,680 --> 00:21:52,960 Speaker 1: I know they used to put sawdust under the operating 458 00:21:53,000 --> 00:21:57,159 Speaker 1: tables to absorb the blood. Uh yeah, intense, And I 459 00:21:57,160 --> 00:21:59,720 Speaker 1: don't think they always cleared the sawdust before the next person. 460 00:22:00,040 --> 00:22:01,639 Speaker 1: And I read some stories where the guy would like 461 00:22:01,680 --> 00:22:03,760 Speaker 1: take the saw where he had amputated a leg and 462 00:22:03,800 --> 00:22:06,320 Speaker 1: he'd kind of like wipe it off on his apron 463 00:22:06,640 --> 00:22:10,000 Speaker 1: and then get to the next guy, which we don't 464 00:22:10,040 --> 00:22:10,720 Speaker 1: do anymore. 465 00:22:10,760 --> 00:22:12,679 Speaker 3: And who would come to these things anyway? Is it 466 00:22:12,800 --> 00:22:15,000 Speaker 3: just medical students or is this like, you know, an 467 00:22:15,040 --> 00:22:16,959 Speaker 3: afternoon with the family. What are we going to do? 468 00:22:17,000 --> 00:22:19,199 Speaker 3: This is before movies. Let's go see some legs get 469 00:22:19,240 --> 00:22:19,640 Speaker 3: cut off. 470 00:22:20,240 --> 00:22:22,040 Speaker 1: I don't know if you bring little Susie with you, 471 00:22:22,240 --> 00:22:25,320 Speaker 1: but like, definitely the medical students are there. And this 472 00:22:25,480 --> 00:22:28,679 Speaker 1: isn't too far after people used to go to like 473 00:22:28,720 --> 00:22:30,400 Speaker 1: public executions for fundsies. 474 00:22:30,480 --> 00:22:31,520 Speaker 3: Yeah, that's what I was thinking. 475 00:22:31,720 --> 00:22:33,640 Speaker 1: Yeah, and so I do think some people did come 476 00:22:33,760 --> 00:22:37,359 Speaker 1: off the streets just to kind of watch. That's probably 477 00:22:37,359 --> 00:22:41,240 Speaker 1: not how I'd spend my day. What was Shakespeare around? 478 00:22:41,280 --> 00:22:41,359 Speaker 5: Like? 479 00:22:41,400 --> 00:22:43,280 Speaker 1: Were the options to go to the globe and see 480 00:22:43,280 --> 00:22:46,280 Speaker 1: a Shakespearean play or watch someone get their leg amputated 481 00:22:46,720 --> 00:22:48,159 Speaker 1: my timeline of history? 482 00:22:48,320 --> 00:22:52,680 Speaker 3: Not a hard choice, I mean, geez, yeah, Shakespeare's a 483 00:22:52,680 --> 00:22:55,240 Speaker 3: couple hundred years before He's like early sixteen hundreds, late 484 00:22:55,280 --> 00:22:56,080 Speaker 3: fifteen hundreds. 485 00:22:56,200 --> 00:22:58,160 Speaker 1: Oh all right, well, and maybe I would watch the amputation. 486 00:22:58,240 --> 00:22:59,760 Speaker 1: You know, what else are you going to do in London? 487 00:23:00,240 --> 00:23:03,440 Speaker 1: So anyway, Long gets the ball rolling but doesn't share 488 00:23:03,520 --> 00:23:06,280 Speaker 1: with anyone, so it stops with him. But then in 489 00:23:06,359 --> 00:23:10,320 Speaker 1: eighteen forty four, a dentist called Horace Wells goes to 490 00:23:10,520 --> 00:23:13,360 Speaker 1: a nitrous oxide demonstration. So there were people who would 491 00:23:13,359 --> 00:23:16,000 Speaker 1: travel around the country and they would essentially get up 492 00:23:16,040 --> 00:23:18,320 Speaker 1: on a stage and they'd be like, this nitrous oxide 493 00:23:18,320 --> 00:23:21,400 Speaker 1: stuff is great. Is there a volunteer from the audience 494 00:23:21,400 --> 00:23:24,399 Speaker 1: who would like to feel, you know, what nitrous oxide 495 00:23:24,440 --> 00:23:27,080 Speaker 1: feels like. So they'd have them inhale some nitrous oxide 496 00:23:27,160 --> 00:23:27,920 Speaker 1: and then they'd be like. 497 00:23:27,880 --> 00:23:29,800 Speaker 2: I feel great. He he he would be so fun, and. 498 00:23:29,800 --> 00:23:32,320 Speaker 3: People would watch this and they're like, let's amputate your leg. Sure, 499 00:23:32,400 --> 00:23:33,159 Speaker 3: he he he he. 500 00:23:34,040 --> 00:23:39,840 Speaker 1: Well and so uh, so Wells was watching this demonstration 501 00:23:40,119 --> 00:23:42,480 Speaker 1: and one of the people who got sort of exposed 502 00:23:42,520 --> 00:23:45,600 Speaker 1: to nitrous oxide got a pretty big laceration on their leg, 503 00:23:45,680 --> 00:23:48,439 Speaker 1: but clearly didn't feel it while it was happening, And 504 00:23:48,520 --> 00:23:51,679 Speaker 1: so Wells afterwards goes to the guy doing the demonstration 505 00:23:51,760 --> 00:23:54,600 Speaker 1: and is like, whoa, hey, I saw that someone got 506 00:23:54,680 --> 00:23:57,800 Speaker 1: hurt and then they were totally fine. And I'm a dentist, 507 00:23:57,880 --> 00:23:59,760 Speaker 1: so can you like come with me to my dentist 508 00:23:59,760 --> 00:24:02,840 Speaker 1: off and we can try like knocking out my patients 509 00:24:03,160 --> 00:24:04,400 Speaker 1: before doing the procedure. 510 00:24:04,800 --> 00:24:07,199 Speaker 3: This is a dentist who cares, who doesn't want to 511 00:24:07,240 --> 00:24:08,360 Speaker 3: cause his patient's pain. 512 00:24:08,560 --> 00:24:09,720 Speaker 2: That's right, it's amazing. 513 00:24:09,800 --> 00:24:12,399 Speaker 1: I miss oh you. This is a joke about dentists 514 00:24:12,440 --> 00:24:14,960 Speaker 1: in general. I didn't get it because I have an 515 00:24:14,960 --> 00:24:17,120 Speaker 1: amazing dentist. I love him so much. 516 00:24:19,080 --> 00:24:20,879 Speaker 3: I hope he listens to the pod. And here's how 517 00:24:20,960 --> 00:24:21,600 Speaker 3: much you love him. 518 00:24:21,760 --> 00:24:23,080 Speaker 2: You're the best doctor, Cayton. 519 00:24:26,200 --> 00:24:28,400 Speaker 1: Okay, So before he started using it on his patients, 520 00:24:28,400 --> 00:24:30,359 Speaker 1: he decided he wanted to try it on himself. So 521 00:24:30,440 --> 00:24:33,879 Speaker 1: this is an example of self experimentation. So Wells calls 522 00:24:33,960 --> 00:24:36,399 Speaker 1: over a dentist friends of his. The guy who did 523 00:24:36,400 --> 00:24:41,200 Speaker 1: the nitrous oxide demonstration knocks Wells out, and the friend 524 00:24:41,320 --> 00:24:44,200 Speaker 1: dentist who came over pulled out a molar, and Wells 525 00:24:44,240 --> 00:24:45,040 Speaker 1: doesn't feel a thing. 526 00:24:45,240 --> 00:24:48,640 Speaker 3: So we just like sacrifices a healthy molar to science. 527 00:24:49,320 --> 00:24:50,600 Speaker 2: Yes, amaz, yeah he does. 528 00:24:50,720 --> 00:24:51,520 Speaker 3: I like this dentist. 529 00:24:51,800 --> 00:24:52,640 Speaker 2: Yeah, no, me too. 530 00:24:52,680 --> 00:24:55,040 Speaker 1: He's willing to get his hands dirty for the arts. 531 00:24:55,080 --> 00:24:55,879 Speaker 1: I appreciate that. 532 00:24:56,000 --> 00:24:57,879 Speaker 3: All right, So far I'm voting for Horace Wells to 533 00:24:57,880 --> 00:24:58,600 Speaker 3: get credit for this. 534 00:24:58,840 --> 00:24:59,640 Speaker 2: I like Wells too. 535 00:24:59,680 --> 00:25:02,480 Speaker 1: So Els does this on fifteen other patients, and he 536 00:25:02,560 --> 00:25:05,880 Speaker 1: decides this is awesome, right, Yeah, So in eighteen forty five, 537 00:25:05,920 --> 00:25:08,400 Speaker 1: he goes to Massachusetts General Hospital and they're doing one 538 00:25:08,400 --> 00:25:12,440 Speaker 1: of these big public surgeries, and he decides he's going 539 00:25:12,480 --> 00:25:15,879 Speaker 1: to remove a tooth from a volunteer. But he doesn't 540 00:25:15,880 --> 00:25:19,280 Speaker 1: give the volunteer enough nitrous oxide. Oh no, And so 541 00:25:19,359 --> 00:25:21,880 Speaker 1: now we know that, you know, some people require more 542 00:25:21,960 --> 00:25:24,399 Speaker 1: nitrous oxide to get knocked out, some require less, and 543 00:25:24,440 --> 00:25:26,919 Speaker 1: this guy just didn't get the right amount for whatever reason. 544 00:25:27,400 --> 00:25:30,600 Speaker 2: And so the patient is clearly feeling pain during this. 545 00:25:30,560 --> 00:25:34,520 Speaker 1: Procedure, and it is very embarrassing to doctor Wells because 546 00:25:34,520 --> 00:25:37,119 Speaker 1: he's got this whole audience and it's clearly not working, 547 00:25:37,200 --> 00:25:39,960 Speaker 1: and so this was sort of devastating for him. 548 00:25:40,119 --> 00:25:41,320 Speaker 3: This is his big moment. 549 00:25:41,480 --> 00:25:43,600 Speaker 1: Wow, this was his big moment. And we'll see that 550 00:25:43,640 --> 00:25:45,840 Speaker 1: he doesn't actually emotionally recover from this. 551 00:25:46,040 --> 00:25:48,920 Speaker 2: Oh no, I know, I know some. 552 00:25:49,000 --> 00:25:51,840 Speaker 3: Like emotional nitros oxide. He needs some of that antidepressants. 553 00:25:51,920 --> 00:25:55,320 Speaker 1: He does need some antidepressants, as we'll see. So then 554 00:25:55,400 --> 00:25:58,000 Speaker 1: the next group that gets in on this at around 555 00:25:58,080 --> 00:26:02,679 Speaker 1: the same time is doctor William Morton and his chemistry teacher, 556 00:26:03,080 --> 00:26:07,960 Speaker 1: doctor Charles Jackson. Morton starts experimenting with ether instead of 557 00:26:08,040 --> 00:26:10,040 Speaker 1: nitrous oxide. And it turns out that ether sort of 558 00:26:10,040 --> 00:26:12,280 Speaker 1: works a little bit better. And at the time, the 559 00:26:12,320 --> 00:26:14,960 Speaker 1: professors and the students were playing with ether too, so 560 00:26:15,000 --> 00:26:17,200 Speaker 1: they were doing these ether parties and you'd get together 561 00:26:17,200 --> 00:26:19,200 Speaker 1: with your professors and like get high on ether. 562 00:26:20,000 --> 00:26:21,040 Speaker 2: Times have changed and. 563 00:26:21,240 --> 00:26:23,120 Speaker 3: So no, no, no, I do that all the time 564 00:26:23,160 --> 00:26:24,240 Speaker 3: with my classes. Yeah. 565 00:26:24,280 --> 00:26:27,439 Speaker 2: Absolutely, Oh yeah, I don't. Uh, we're moving on. 566 00:26:27,600 --> 00:26:31,240 Speaker 3: So if any administrators that you see or Vara listening, I. 567 00:26:31,320 --> 00:26:33,560 Speaker 1: Was a joke, of course, good, yes, yes, So I 568 00:26:33,560 --> 00:26:36,399 Speaker 1: think Morton had been aware of what Wells was doing, 569 00:26:36,600 --> 00:26:39,639 Speaker 1: and he starts using ether instead of nitrous oxide. He 570 00:26:39,640 --> 00:26:42,080 Speaker 1: talks to his chemistry professor, He's like, can you get 571 00:26:42,080 --> 00:26:45,600 Speaker 1: me some ether? And to try out the ether, Morton 572 00:26:45,640 --> 00:26:48,560 Speaker 1: wasn't willing to test on himself. He extracted the tooth 573 00:26:48,600 --> 00:26:51,480 Speaker 1: of one of his assistants. Oh, but the ether he 574 00:26:51,600 --> 00:26:53,879 Speaker 1: was using wasn't pure enough and it was painful for 575 00:26:53,920 --> 00:26:56,520 Speaker 1: the assistant. So Morton's like, oh shoot. So then he 576 00:26:56,600 --> 00:26:58,879 Speaker 1: starts testing on himself because he can tinker with the 577 00:26:58,920 --> 00:27:01,800 Speaker 1: doses and the purity. And apparently his wife is like 578 00:27:02,160 --> 00:27:05,159 Speaker 1: super not excited that he's doing this, because he's like 579 00:27:05,680 --> 00:27:07,600 Speaker 1: I put sid a timer and I knocked myself out 580 00:27:07,640 --> 00:27:09,000 Speaker 1: for eight minutes, and she's. 581 00:27:08,880 --> 00:27:10,680 Speaker 3: Like, no, that's not good. 582 00:27:11,080 --> 00:27:12,480 Speaker 2: It's not good. What are you doing. 583 00:27:12,680 --> 00:27:14,040 Speaker 3: You're getting drained brimage. 584 00:27:14,480 --> 00:27:14,960 Speaker 2: Oh god. 585 00:27:15,240 --> 00:27:17,320 Speaker 1: So later he tries it out on a patient who 586 00:27:17,359 --> 00:27:19,879 Speaker 1: has a toothache and it works great. So he also 587 00:27:19,960 --> 00:27:24,080 Speaker 1: goes to Massachusetts General Hospital in eighteen forty six and 588 00:27:24,280 --> 00:27:27,439 Speaker 1: there is a surgeon who is doing a procedure to 589 00:27:27,720 --> 00:27:31,320 Speaker 1: excize a neck tumor. At the time, Morton was a 590 00:27:31,520 --> 00:27:34,879 Speaker 1: second year Harvard medical student, and he gets permission to 591 00:27:34,920 --> 00:27:38,480 Speaker 1: administer ether well. The surgeon is removing the tumor, and 592 00:27:38,520 --> 00:27:41,040 Speaker 1: the procedure goes so well that when it's done, the 593 00:27:41,080 --> 00:27:44,480 Speaker 1: surgeon looks out at the audience and says, gentlemen, this 594 00:27:44,560 --> 00:27:45,440 Speaker 1: is no humbug. 595 00:27:47,200 --> 00:27:50,359 Speaker 3: You have to translate for me. Is that good? Humbug 596 00:27:50,440 --> 00:27:52,119 Speaker 3: is bad? So no humbug is good? 597 00:27:52,240 --> 00:27:55,479 Speaker 2: That's right. Yes, Yeah, the double negative threw you a bit. 598 00:27:55,560 --> 00:27:57,600 Speaker 3: So if you're getting like comments from a reviewer in 599 00:27:57,640 --> 00:27:59,719 Speaker 3: the eighteen hundreds, and a reviewer too is like, this 600 00:27:59,720 --> 00:28:01,720 Speaker 3: paper is no humbug, then that's good. 601 00:28:01,760 --> 00:28:04,840 Speaker 2: That's good. Yeah, you probably got past reviewer too. Good job. 602 00:28:06,440 --> 00:28:09,080 Speaker 1: So it worked but Morton at this point sees a 603 00:28:09,119 --> 00:28:11,960 Speaker 1: cash cow, and so he doesn't want to tell anybody 604 00:28:11,960 --> 00:28:15,320 Speaker 1: what it is, and so he names it Lethion, which 605 00:28:15,359 --> 00:28:18,760 Speaker 1: is after the mythological river LETHI. I think it's pronounced 606 00:28:18,800 --> 00:28:21,600 Speaker 1: where the souls of the dead forget their earthly lives. 607 00:28:22,000 --> 00:28:24,000 Speaker 1: I don't know if I'd want to be taking something 608 00:28:24,040 --> 00:28:27,199 Speaker 1: that's usually associated with helping the dead forget things, like 609 00:28:27,320 --> 00:28:30,120 Speaker 1: I'd rather stay alive while I forget the procedure. 610 00:28:30,160 --> 00:28:32,360 Speaker 3: Would you like to take a trip on the river sticks? 611 00:28:32,680 --> 00:28:35,360 Speaker 2: Yeah, no, thank you, I'll pass. Can you just take 612 00:28:35,359 --> 00:28:36,359 Speaker 2: this moler out please? 613 00:28:36,920 --> 00:28:38,600 Speaker 3: That's one big humbug for that idea. 614 00:28:38,720 --> 00:28:39,520 Speaker 2: That's right, amen. 615 00:28:39,880 --> 00:28:42,360 Speaker 1: But ether has a super distinct smell, and so Surgeon's 616 00:28:42,360 --> 00:28:45,120 Speaker 1: pretty quickly figured out what he was doing, and he 617 00:28:45,200 --> 00:28:47,800 Speaker 1: tried to get money some other ways. He tried to 618 00:28:47,800 --> 00:28:51,800 Speaker 1: make this like very particular device for administering the ether, 619 00:28:52,240 --> 00:28:54,880 Speaker 1: but other people figured out better devices, and so anyway, 620 00:28:54,880 --> 00:28:57,640 Speaker 1: eventually Morton realizes he's not going to make a ton 621 00:28:57,680 --> 00:29:01,120 Speaker 1: of money, and everybody now transitions to trying to figure 622 00:29:01,160 --> 00:29:02,760 Speaker 1: out who can get the most credit for it. So, 623 00:29:02,800 --> 00:29:04,400 Speaker 1: if you're not gonna get rich, at least you can 624 00:29:04,440 --> 00:29:05,480 Speaker 1: impress the whole world. 625 00:29:05,560 --> 00:29:07,520 Speaker 3: Right here comes the dark side of science. 626 00:29:07,600 --> 00:29:08,520 Speaker 2: That's right. Here we go. 627 00:29:08,640 --> 00:29:11,720 Speaker 1: So Wells who was the first to do a public 628 00:29:11,760 --> 00:29:14,880 Speaker 1: demonstration of it, and if you remember, he's the one 629 00:29:15,000 --> 00:29:17,160 Speaker 1: where he did the public demonstration. It didn't work. He 630 00:29:17,200 --> 00:29:20,680 Speaker 1: was super embarrassing. So Wells is interested in this, but 631 00:29:20,680 --> 00:29:22,840 Speaker 1: he's trying out some other ways to maybe make it 632 00:29:22,880 --> 00:29:24,880 Speaker 1: work better because it was embarrassing when he did the 633 00:29:24,960 --> 00:29:28,680 Speaker 1: nitrous oxide thing. So he starts trying chloroform instead. But 634 00:29:28,920 --> 00:29:32,120 Speaker 1: he gets addicted to the chloroform and it seems to 635 00:29:32,160 --> 00:29:34,840 Speaker 1: have eventually like sort of messed with his mental health, 636 00:29:34,880 --> 00:29:38,320 Speaker 1: messed with his mind. So he goes to jail for 637 00:29:38,520 --> 00:29:41,120 Speaker 1: throwing sulfuric acid on prostitutes. 638 00:29:41,280 --> 00:29:41,920 Speaker 3: Oh boy. 639 00:29:42,320 --> 00:29:45,280 Speaker 1: Yeah, And while he's in prison, he had apparently managed 640 00:29:45,320 --> 00:29:49,920 Speaker 1: to smuggle some chloroform in and he commits suicide using 641 00:29:49,920 --> 00:29:53,560 Speaker 1: the chloroform and a razor blade in prison. So and 642 00:29:53,640 --> 00:29:55,440 Speaker 1: the worst well not the worst. The worst thing is 643 00:29:55,480 --> 00:29:55,800 Speaker 1: he died. 644 00:29:55,880 --> 00:29:56,360 Speaker 2: That's awful. 645 00:29:56,600 --> 00:29:59,080 Speaker 1: But his wife a few days later gets a letter 646 00:29:59,200 --> 00:30:02,840 Speaker 1: from the Paris Medical Society and they have concluded that 647 00:30:02,880 --> 00:30:04,920 Speaker 1: Wells is the one who should get credit for doing 648 00:30:04,920 --> 00:30:07,040 Speaker 1: the first painless surgery under anesthesia. 649 00:30:07,200 --> 00:30:10,720 Speaker 3: Oh no, so that letter could have saved his life probably. 650 00:30:10,920 --> 00:30:13,040 Speaker 1: Yeah, it seems like he was super concerned about the 651 00:30:13,120 --> 00:30:16,520 Speaker 1: credit anyway. So next up we'll talk about Morton. 652 00:30:16,640 --> 00:30:17,800 Speaker 3: Well, that's a big humbug. 653 00:30:17,920 --> 00:30:20,840 Speaker 1: That is a huge humbug. Humbug of the year maybe. 654 00:30:21,240 --> 00:30:21,560 Speaker 2: Yeah. 655 00:30:21,600 --> 00:30:23,680 Speaker 1: So Morton is the guy who was trying to make 656 00:30:23,680 --> 00:30:25,880 Speaker 1: a bunch of money off of ether and he had 657 00:30:25,960 --> 00:30:28,120 Speaker 1: kind of worked with his chemistry professor, and he and 658 00:30:28,200 --> 00:30:30,560 Speaker 1: his chemistry professor, it turns out end up in this 659 00:30:30,680 --> 00:30:34,200 Speaker 1: giant debate about who should get the credit. And Morton, 660 00:30:34,280 --> 00:30:36,760 Speaker 1: as I mentioned, he had this device that people stopped using, 661 00:30:36,800 --> 00:30:40,200 Speaker 1: and then he's frustrated because other dentists are using this procedure. 662 00:30:40,240 --> 00:30:42,080 Speaker 1: So now he's not even making money by having the 663 00:30:42,120 --> 00:30:43,080 Speaker 1: most patients. 664 00:30:43,400 --> 00:30:46,000 Speaker 3: In the meantime, a lot of people are now having 665 00:30:46,040 --> 00:30:47,960 Speaker 3: surgeries and procedures without pain. 666 00:30:48,080 --> 00:30:50,600 Speaker 1: So that's good, that should be huge, right, Yeah, But 667 00:30:50,680 --> 00:30:52,880 Speaker 1: that's not doing it for him. And in eighteen sixty eight, 668 00:30:53,000 --> 00:30:56,960 Speaker 1: a magazine article comes out saying that Morton's professor Jackson 669 00:30:57,360 --> 00:30:59,120 Speaker 1: is the one who should get the credit, and that 670 00:30:59,200 --> 00:31:02,480 Speaker 1: seems to drive Morton absolutely crazy, and he drives to 671 00:31:02,560 --> 00:31:05,480 Speaker 1: New York to confront the editors and dies of a 672 00:31:05,480 --> 00:31:06,600 Speaker 1: stroke in Central Park. 673 00:31:06,760 --> 00:31:09,000 Speaker 2: Oh my gosh, at forty eight. 674 00:31:08,960 --> 00:31:10,440 Speaker 3: This whole area is like cursed. 675 00:31:10,760 --> 00:31:12,000 Speaker 2: I know, it's horrible. 676 00:31:12,320 --> 00:31:14,160 Speaker 3: Or maybe it's just the product of all this self 677 00:31:14,160 --> 00:31:16,160 Speaker 3: experimentation with these crazy drugs. 678 00:31:16,280 --> 00:31:18,960 Speaker 1: I mean, I do think that the fact that these 679 00:31:19,040 --> 00:31:21,560 Speaker 1: drugs are a bit mind altering and had been used 680 00:31:21,680 --> 00:31:24,640 Speaker 1: maybe way too often and at way too high doses, 681 00:31:24,760 --> 00:31:26,960 Speaker 1: could have had something to do with the mental health 682 00:31:27,000 --> 00:31:31,360 Speaker 1: problems these people had. But anyway, Jackson, the chemistry professor 683 00:31:31,640 --> 00:31:34,680 Speaker 1: is backed by the Academy of Sciences of the Institute 684 00:31:34,720 --> 00:31:36,600 Speaker 1: of France, so it looks like the medical communities in 685 00:31:36,640 --> 00:31:37,520 Speaker 1: France are sort of. 686 00:31:37,680 --> 00:31:39,160 Speaker 2: Divided on who they're going to back. 687 00:31:39,600 --> 00:31:42,240 Speaker 1: Jackson gets told that he's getting the credit, but he 688 00:31:42,280 --> 00:31:46,280 Speaker 1: becomes an alcoholic and he's found screaming at Morton's gravestone. 689 00:31:46,800 --> 00:31:49,680 Speaker 1: Like even after Morton dies, he's still angry enough to 690 00:31:49,760 --> 00:31:51,800 Speaker 1: like go to his gravestone and yell at him. He 691 00:31:51,880 --> 00:31:54,040 Speaker 1: ends up in an asylum where he stays for twelve 692 00:31:54,120 --> 00:31:55,920 Speaker 1: years and dies at seventy five. 693 00:31:56,200 --> 00:31:58,600 Speaker 3: I hope to never be found yelling at gravestone. 694 00:31:58,760 --> 00:32:02,320 Speaker 1: Yeah, Like wow, you know, that seems that's pretty high end, 695 00:32:02,440 --> 00:32:05,080 Speaker 1: Like at the point where your enemy has passed on, 696 00:32:05,320 --> 00:32:05,800 Speaker 1: I feel like. 697 00:32:05,800 --> 00:32:06,640 Speaker 3: You can move on. 698 00:32:07,840 --> 00:32:09,280 Speaker 2: But I guess it's not always that easy. 699 00:32:10,400 --> 00:32:12,160 Speaker 3: On the other hand, gravestones are kind of there for 700 00:32:12,200 --> 00:32:14,920 Speaker 3: you to like visit someone who's passed and talk to 701 00:32:14,960 --> 00:32:17,760 Speaker 3: them and connect with them. And so if Yellen's what 702 00:32:17,840 --> 00:32:19,880 Speaker 3: you gotta do, I guess that is the place for it. 703 00:32:20,080 --> 00:32:23,640 Speaker 1: Yeah, I guess, sure, sure, but maybe i'd want to 704 00:32:23,640 --> 00:32:25,960 Speaker 1: like smoke some banana peels to chill me out before 705 00:32:25,960 --> 00:32:26,480 Speaker 1: I get there. 706 00:32:26,680 --> 00:32:29,520 Speaker 3: Yeah, But I'm also intrigued by this facet of history 707 00:32:29,840 --> 00:32:34,040 Speaker 3: where like societies are deciding who gets credit for something. Yeah, 708 00:32:34,080 --> 00:32:36,200 Speaker 3: you know, that's not the way we do things these days, 709 00:32:36,240 --> 00:32:38,800 Speaker 3: at least not on physics. Like if you make a discovery, 710 00:32:39,120 --> 00:32:41,400 Speaker 3: you argue about the paper, or you argue about who 711 00:32:41,440 --> 00:32:44,600 Speaker 3: gets prizes. But it's never like the American Physical Society 712 00:32:44,640 --> 00:32:47,920 Speaker 3: decides Daniel gets credit for this idea or Sally gets 713 00:32:47,920 --> 00:32:48,840 Speaker 3: credit for that idea. 714 00:32:49,040 --> 00:32:50,959 Speaker 1: I mean, I feel like the Nobel Prize has just 715 00:32:51,080 --> 00:32:53,440 Speaker 1: like that is the ultimate arbiter of who gets credit 716 00:32:53,480 --> 00:32:57,320 Speaker 1: for the idea, and maybe nobody else minds. I guess 717 00:32:57,360 --> 00:32:59,760 Speaker 1: I don't or nobody else feels like it's worth weighing in. 718 00:32:59,880 --> 00:33:00,360 Speaker 2: I don't know. 719 00:33:00,680 --> 00:33:03,440 Speaker 3: Yeah, yeah, I guess this is all pre Nobel Prize stuff, 720 00:33:03,480 --> 00:33:06,800 Speaker 3: so m M, maybe that plays a role. Fascinating all right, So, 721 00:33:06,800 --> 00:33:09,200 Speaker 3: so far three folks have tried to take credit for 722 00:33:09,240 --> 00:33:12,680 Speaker 3: it and either died or gone mad. Who's up next? 723 00:33:12,920 --> 00:33:16,320 Speaker 1: I saved the best for last, so remember the No, 724 00:33:16,400 --> 00:33:19,040 Speaker 1: this is actually the best. So the first person who 725 00:33:19,080 --> 00:33:22,920 Speaker 1: we talked about who didn't share his results publicly and 726 00:33:23,080 --> 00:33:24,360 Speaker 1: was just like, oh, this is great. I'm going to 727 00:33:24,400 --> 00:33:25,960 Speaker 1: make sure that all of my patients are well taken 728 00:33:26,000 --> 00:33:30,040 Speaker 1: care of from here on out. He continues his medical practice, 729 00:33:30,200 --> 00:33:33,320 Speaker 1: owns a pharmacy in Georgia, and has a happy life. 730 00:33:33,520 --> 00:33:36,040 Speaker 3: Oh my gosh, I was waiting for the disaster there. 731 00:33:36,040 --> 00:33:37,959 Speaker 3: But no, I'm glad he lives happily. 732 00:33:38,000 --> 00:33:40,160 Speaker 1: Ever after he does well, he dies at sixty two. 733 00:33:40,680 --> 00:33:43,240 Speaker 1: He dies well prepping to give ether to a woman 734 00:33:43,280 --> 00:33:45,440 Speaker 1: in labor. So that wasn't great for her. I'm sure 735 00:33:45,480 --> 00:33:47,720 Speaker 1: she was like no at first, give me the either. 736 00:33:48,200 --> 00:33:52,040 Speaker 3: But that's not a good sign if your doctor drops 737 00:33:52,080 --> 00:33:53,120 Speaker 3: dead during labor. 738 00:33:53,760 --> 00:33:54,280 Speaker 4: No. 739 00:33:54,280 --> 00:33:57,120 Speaker 1: No, But actually, before we go to a commercial, I 740 00:33:57,160 --> 00:33:59,440 Speaker 1: want to real quick tell you this story about chloroform 741 00:33:59,480 --> 00:34:03,040 Speaker 1: in the UK. So the UK was more interested in chloroform. 742 00:34:03,080 --> 00:34:06,400 Speaker 1: We were more interested in nitrosoxide and ether. And a 743 00:34:06,760 --> 00:34:10,360 Speaker 1: very important time when you can use ether is during childbirth. 744 00:34:10,600 --> 00:34:13,479 Speaker 1: So there was the Scottish obstetrician James Simpson. We talked 745 00:34:13,480 --> 00:34:15,400 Speaker 1: about this guy in the intro. He ran out of 746 00:34:15,400 --> 00:34:18,560 Speaker 1: the operating theater and thought about becoming a lawyer because 747 00:34:18,560 --> 00:34:21,640 Speaker 1: it was so upsetting to watch surgeries without ether. But anyway, 748 00:34:21,680 --> 00:34:25,600 Speaker 1: around eighteen forty seven he's experimenting with different gases, decides 749 00:34:25,680 --> 00:34:28,400 Speaker 1: chloroform is best. But there was this idea at the 750 00:34:28,440 --> 00:34:31,440 Speaker 1: time that women needed to actually go through the process 751 00:34:31,440 --> 00:34:33,160 Speaker 1: of labor and that the pain was sort of part 752 00:34:33,200 --> 00:34:36,040 Speaker 1: of it, and taking the pain away was unethical or like, 753 00:34:36,160 --> 00:34:39,760 Speaker 1: wasn't okay on religious grounds, and so he wasn't able 754 00:34:39,800 --> 00:34:43,759 Speaker 1: to start administering it widely until John Snow and any 755 00:34:43,760 --> 00:34:45,560 Speaker 1: epidemiology nerds out there are. 756 00:34:45,440 --> 00:34:49,040 Speaker 2: Like John Snow with the cholera pump and the Broad 757 00:34:49,040 --> 00:34:49,640 Speaker 2: Street pump. 758 00:34:49,640 --> 00:34:51,840 Speaker 1: But anyway, so he helped figure out the cause of cholera. 759 00:34:51,920 --> 00:34:53,680 Speaker 1: I think the pandemic was wrapping up by the time 760 00:34:53,680 --> 00:34:56,799 Speaker 1: he figured it out. He in eighteen fifty three administers 761 00:34:57,000 --> 00:35:00,600 Speaker 1: chloroform to Queen Victoria while she's giving We're to her 762 00:35:00,640 --> 00:35:03,480 Speaker 1: eighth child. That's high stakes, that's super high stakes. 763 00:35:03,480 --> 00:35:06,160 Speaker 2: But it goes great. Queen Victoria is like, awesome. 764 00:35:06,360 --> 00:35:09,000 Speaker 1: Everyone should have access to this, and now it becomes 765 00:35:09,239 --> 00:35:12,920 Speaker 1: super widespread. It has since been sort of superseded by 766 00:35:12,920 --> 00:35:15,319 Speaker 1: other methods because it is kind of nasty stuff, and 767 00:35:15,320 --> 00:35:17,480 Speaker 1: if you use it for too long it damages like 768 00:35:17,560 --> 00:35:21,280 Speaker 1: the liver, kidney, hearts, and eventually chloroform falls out of favor. 769 00:35:21,400 --> 00:35:26,080 Speaker 1: But Queen Victoria and obstetrician James Simpson helped bring some 770 00:35:26,280 --> 00:35:28,839 Speaker 1: pain relief to women in childbirth. 771 00:35:29,120 --> 00:35:32,600 Speaker 3: Hurrah, Hurrah James and Queen Victoria. It's amazing how these 772 00:35:32,640 --> 00:35:35,440 Speaker 3: things are cultural, right have, Like, yeah, one person in 773 00:35:35,440 --> 00:35:38,320 Speaker 3: one country can turn a whole society in one direction 774 00:35:38,600 --> 00:35:41,439 Speaker 3: or another to use chloroform and not just oxide. It's 775 00:35:41,480 --> 00:35:44,080 Speaker 3: incredible how random history really is. 776 00:35:44,320 --> 00:35:46,560 Speaker 2: Oh my gosh, yeah, it absolutely is. Agreed. 777 00:35:46,880 --> 00:35:48,319 Speaker 3: All right, Well, let's take a break and when we 778 00:35:48,360 --> 00:35:51,000 Speaker 3: come back, we'll learn what we do and don't know 779 00:35:51,200 --> 00:36:07,280 Speaker 3: about how anesthesia actually works. 780 00:36:14,920 --> 00:36:17,520 Speaker 1: All right, So let's chat about what we know about 781 00:36:17,520 --> 00:36:20,799 Speaker 1: how anesthesia works. And let's just clarify there's different kinds 782 00:36:20,840 --> 00:36:24,040 Speaker 1: of anesthesia. In this episode, we've been talking about general anesthesia, 783 00:36:24,080 --> 00:36:26,839 Speaker 1: where you breathe it in and it totally knocks you out, 784 00:36:26,880 --> 00:36:27,720 Speaker 1: you feel no pain. 785 00:36:27,960 --> 00:36:30,000 Speaker 2: We're going to go into a bit more detail about that. 786 00:36:30,120 --> 00:36:32,680 Speaker 3: Well, you don't remember feeling pain, right, Isn't There still 787 00:36:32,680 --> 00:36:35,360 Speaker 3: some debate about like are you actually feeling pain? But 788 00:36:35,400 --> 00:36:38,000 Speaker 3: then the experiences are wiped from your memory, and so 789 00:36:38,160 --> 00:36:39,680 Speaker 3: it's like you didn't feel pain. 790 00:36:40,080 --> 00:36:43,400 Speaker 1: If you're taking a local anesthetic, you are awake, and 791 00:36:43,440 --> 00:36:45,200 Speaker 1: so like when I got an epidural when I was 792 00:36:45,200 --> 00:36:47,840 Speaker 1: giving birth to my second kiddo, I was awake, you know, 793 00:36:47,880 --> 00:36:51,439 Speaker 1: but I didn't feel any pain. I felt very itchy, right, 794 00:36:51,480 --> 00:36:52,840 Speaker 1: but I didn't feel any pain. 795 00:36:54,000 --> 00:36:55,280 Speaker 2: And he was a ten pounder. 796 00:36:55,360 --> 00:36:57,600 Speaker 1: And so I don't think that my memory was wiped 797 00:36:57,640 --> 00:36:59,480 Speaker 1: because if so, I would have been feeling pain in 798 00:36:59,520 --> 00:37:00,200 Speaker 1: the moment, right. 799 00:37:00,239 --> 00:37:03,000 Speaker 3: But general anesthesia you're not conscious of right. So it's 800 00:37:03,040 --> 00:37:06,200 Speaker 3: possible that you are aware of the pain, you just 801 00:37:06,239 --> 00:37:09,760 Speaker 3: don't remember it, right because generalisty you don't remember the procedure. 802 00:37:09,880 --> 00:37:12,840 Speaker 1: Yeah, I think there is a subset of people who 803 00:37:12,960 --> 00:37:17,000 Speaker 1: like will wake up sometimes and they can't move, Yeah, 804 00:37:17,040 --> 00:37:19,040 Speaker 1: but I don't think they feel pain. They're just like, 805 00:37:19,480 --> 00:37:21,719 Speaker 1: this is a very disconcerting experience. 806 00:37:22,640 --> 00:37:24,680 Speaker 3: Well, let's hope not. But it strikes me that, like, 807 00:37:24,719 --> 00:37:27,160 Speaker 3: if I went through a very painful experience and then 808 00:37:27,200 --> 00:37:29,799 Speaker 3: somebody came and deleted those memories, I wonder how that 809 00:37:29,840 --> 00:37:32,680 Speaker 3: would be different, oh from the experience of general anesthesia. 810 00:37:32,800 --> 00:37:33,839 Speaker 2: Right, yeah, I don't know. 811 00:37:33,800 --> 00:37:36,839 Speaker 3: Anyway, Maybe that's more philosophy question. But tell us what 812 00:37:36,880 --> 00:37:39,799 Speaker 3: we know about how this actually works medically and neurologically. 813 00:37:39,960 --> 00:37:40,600 Speaker 2: Not a lot. 814 00:37:40,920 --> 00:37:45,200 Speaker 1: So. The Proceedings of the National Academy of Sciences is 815 00:37:45,239 --> 00:37:48,320 Speaker 1: a big, prestigious group of scientists in the United States, 816 00:37:48,400 --> 00:37:51,960 Speaker 1: and a twenty twenty paper started by saying anesthetics are 817 00:37:52,040 --> 00:37:55,080 Speaker 1: used every day in thousands of hospitals to induce loss 818 00:37:55,080 --> 00:37:58,719 Speaker 1: of consciousness, Yet scientists and the doctors who administer these 819 00:37:58,760 --> 00:38:01,760 Speaker 1: compounds lack am a lie secular understanding for their action. 820 00:38:02,200 --> 00:38:05,120 Speaker 3: This is twenty twenty twenty. I'm talking about ancient history anymore. 821 00:38:05,120 --> 00:38:06,200 Speaker 3: This is basically today. 822 00:38:06,280 --> 00:38:08,359 Speaker 1: That's right, that's where we are. But another thing that 823 00:38:08,400 --> 00:38:11,600 Speaker 1: was sort of interesting is that they mentioned in eighteen 824 00:38:11,680 --> 00:38:16,680 Speaker 1: forty six William Morton demonstrated general anesthesia with inhaled anesthetic 825 00:38:16,719 --> 00:38:22,200 Speaker 1: diethyl ether. So apparently they picked team Morton, Like, I 826 00:38:22,280 --> 00:38:23,439 Speaker 1: don't know if they you know. 827 00:38:23,400 --> 00:38:25,040 Speaker 3: We're wading into this controversy. 828 00:38:25,120 --> 00:38:27,680 Speaker 2: Yeah, that's right, that's right, but they're giving credit to him. 829 00:38:27,719 --> 00:38:30,000 Speaker 3: Well, I hope that the descendants of these four gentlemen 830 00:38:30,080 --> 00:38:32,319 Speaker 3: are not like still battling it out. I hope they 831 00:38:32,320 --> 00:38:36,000 Speaker 3: get together and toast these guys and all of their achievements, 832 00:38:36,040 --> 00:38:37,080 Speaker 3: and I'll get along. 833 00:38:37,239 --> 00:38:39,200 Speaker 1: I think it would be much nicer to just appreciate 834 00:38:39,239 --> 00:38:41,960 Speaker 1: the memory of people who took pain away for so 835 00:38:42,040 --> 00:38:44,120 Speaker 1: many of us, as opposed to like turning it into 836 00:38:44,120 --> 00:38:47,920 Speaker 1: a nasty fight for credit. But yeah, anyway, Okay. So 837 00:38:48,640 --> 00:38:53,160 Speaker 1: I ended up reaching out to two different anesthesiologists because 838 00:38:53,480 --> 00:38:57,120 Speaker 1: it was really complicated working through the literature and I 839 00:38:57,120 --> 00:38:59,880 Speaker 1: couldn't tell if I was reading sort of fringe idea 840 00:39:00,200 --> 00:39:02,320 Speaker 1: or the main idea, And so I ended up talking 841 00:39:02,320 --> 00:39:07,319 Speaker 1: to doctor Shannon Stem and doctor a Joa Botang Evans. So, 842 00:39:07,360 --> 00:39:09,880 Speaker 1: the main mechanism that we think is important here is 843 00:39:10,120 --> 00:39:15,960 Speaker 1: a neurotransmitter called gabba aminobeic acid or just GABBA. Your 844 00:39:16,000 --> 00:39:21,719 Speaker 1: neurons have receptors and these receptors are responsible for tinkering 845 00:39:21,760 --> 00:39:24,520 Speaker 1: with the electrical charge inside of the neuron, So let's 846 00:39:24,520 --> 00:39:27,120 Speaker 1: talk about why that's important. So our neurons are connected 847 00:39:27,160 --> 00:39:30,200 Speaker 1: to each other, there's like this open area in between 848 00:39:30,239 --> 00:39:33,319 Speaker 1: neurons called the synaps, and when chemicals are released into 849 00:39:33,360 --> 00:39:35,719 Speaker 1: that synapse, one cell has talked to another and a 850 00:39:35,760 --> 00:39:38,880 Speaker 1: message passes between the neurons. The way you get that 851 00:39:39,000 --> 00:39:42,080 Speaker 1: message into the synapse is that your cell needs to 852 00:39:42,160 --> 00:39:45,839 Speaker 1: pass a certain electrical charge to initiate what's called an 853 00:39:46,000 --> 00:39:49,160 Speaker 1: action potential. So usually your neuron has a little bit 854 00:39:49,160 --> 00:39:51,960 Speaker 1: of a negative charge and when it starts to accumulate 855 00:39:52,000 --> 00:39:54,560 Speaker 1: a positive charge, at some point it'll pass the threshold, 856 00:39:54,840 --> 00:39:57,400 Speaker 1: an electrical charge will pass through the neuron, the chemicals 857 00:39:57,400 --> 00:40:00,239 Speaker 1: will get released into the synaps, and the conversation between 858 00:40:00,320 --> 00:40:01,120 Speaker 1: neurons will happen. 859 00:40:01,280 --> 00:40:04,360 Speaker 3: This is fascinating to hear about because I think about 860 00:40:04,440 --> 00:40:07,080 Speaker 3: neurons all the time, but from the point of view 861 00:40:07,200 --> 00:40:09,800 Speaker 3: artificial neural networks. They do a lot of machine learning 862 00:40:09,840 --> 00:40:12,600 Speaker 3: and AI, and we use neural nets all the time, 863 00:40:12,719 --> 00:40:15,319 Speaker 3: but we never think about them as neurons anymore. Where 864 00:40:15,320 --> 00:40:17,799 Speaker 3: we use the same language. You know, in our mathematical 865 00:40:17,840 --> 00:40:20,240 Speaker 3: model is that a neuron is like a little blob 866 00:40:20,280 --> 00:40:22,520 Speaker 3: and it has inputs, and if the inputs are high 867 00:40:22,600 --> 00:40:24,799 Speaker 3: enough that they add up to a certain amount, then 868 00:40:24,800 --> 00:40:27,080 Speaker 3: the neuron is activated and it sends like a pulse 869 00:40:27,160 --> 00:40:30,000 Speaker 3: to its output, which is linked to other neurons. Of course, 870 00:40:30,080 --> 00:40:32,480 Speaker 3: and my understanding of the brain basically is that it's 871 00:40:32,480 --> 00:40:35,279 Speaker 3: this big network of neurons that are all firing and 872 00:40:35,320 --> 00:40:38,200 Speaker 3: stimulating each other. And so you're talking about the bit 873 00:40:38,320 --> 00:40:41,560 Speaker 3: between the neurons, the sydnaps, the connection and whether that 874 00:40:41,600 --> 00:40:44,440 Speaker 3: thing is allowed to fire or is inhibited from communicating 875 00:40:44,440 --> 00:40:45,560 Speaker 3: with other neurons. Is that right? 876 00:40:45,800 --> 00:40:46,480 Speaker 2: Yeah, pretty much. 877 00:40:46,680 --> 00:40:48,920 Speaker 1: I mean we're focusing on the neurons too. So what 878 00:40:49,000 --> 00:40:53,200 Speaker 1: GABA does is it inhibits the action potential. So what 879 00:40:53,280 --> 00:40:55,279 Speaker 1: essentially happens is that your neuron has all of these 880 00:40:55,280 --> 00:40:58,040 Speaker 1: receptors on it, and it has three different kinds of 881 00:40:58,120 --> 00:41:03,080 Speaker 1: GABA receptors for them. When this chemical GABA binds, they 882 00:41:03,160 --> 00:41:06,719 Speaker 1: open up and they let chloride ions in, and so 883 00:41:06,800 --> 00:41:10,000 Speaker 1: these ions have a negative charge, and so the negative 884 00:41:10,080 --> 00:41:13,400 Speaker 1: charge in the neuron gets more negative, which makes the 885 00:41:13,440 --> 00:41:16,600 Speaker 1: cell less likely to hit that action potential point and 886 00:41:16,640 --> 00:41:19,680 Speaker 1: talk to the next neuron price. There is another kind 887 00:41:19,760 --> 00:41:22,880 Speaker 1: of receptor that when GABA binds to it, it opens 888 00:41:23,000 --> 00:41:26,319 Speaker 1: up and it lets potassium ions out, and these are 889 00:41:26,360 --> 00:41:29,400 Speaker 1: positive charge, so the positive charge is fleeing, and so 890 00:41:29,560 --> 00:41:32,319 Speaker 1: here again the cell is getting more negative, but just 891 00:41:32,320 --> 00:41:35,360 Speaker 1: through a slightly different mechanism. So in all of these cases, 892 00:41:35,840 --> 00:41:39,719 Speaker 1: GABA is making the cell more quiet less likely to 893 00:41:39,760 --> 00:41:42,080 Speaker 1: communicate with the next cell down the line. 894 00:41:42,320 --> 00:41:44,560 Speaker 3: And it's just like a hypothesis or something we can 895 00:41:44,600 --> 00:41:47,640 Speaker 3: observe by taking like a single neuron and putting it 896 00:41:47,680 --> 00:41:50,960 Speaker 3: in an experiment and you know, connecting it to electrodes. 897 00:41:51,280 --> 00:41:54,080 Speaker 1: So I can't say that I am an expert in 898 00:41:54,200 --> 00:41:57,160 Speaker 1: how we know this. One of the women that I 899 00:41:57,239 --> 00:42:00,400 Speaker 1: talked to did mention that there was some experiment done 900 00:42:00,400 --> 00:42:04,200 Speaker 1: in mice where they genetically tinkered with the mouse so 901 00:42:04,239 --> 00:42:07,759 Speaker 1: that their GABA receptors were kind of messed up. And 902 00:42:07,800 --> 00:42:11,080 Speaker 1: when you do that, anesthesia doesn't work the same way 903 00:42:11,120 --> 00:42:14,680 Speaker 1: in these mice. So that's pretty good evidence that GABBA 904 00:42:15,000 --> 00:42:18,560 Speaker 1: is somehow involved in anesthesia. But in terms of what 905 00:42:18,600 --> 00:42:21,600 Speaker 1: we know about what these neurons are doing in our 906 00:42:21,640 --> 00:42:23,759 Speaker 1: brains in response to GABBA, like, I don't know that 907 00:42:23,800 --> 00:42:26,479 Speaker 1: we've been able to observe that happening in real time. 908 00:42:26,640 --> 00:42:28,880 Speaker 3: Yeah, although the system is so complicated, it's hard to 909 00:42:28,960 --> 00:42:32,040 Speaker 3: draw conclusions. Right. There's the famous example of the scientist 910 00:42:32,120 --> 00:42:35,400 Speaker 3: who trains frogs to jump when he says jump and 911 00:42:35,400 --> 00:42:37,879 Speaker 3: then it cuts their legs off, and he says jump 912 00:42:37,880 --> 00:42:39,359 Speaker 3: and they don't jump, and it's like, oh, see, they 913 00:42:39,400 --> 00:42:43,560 Speaker 3: can't hear me, so therefore they must hear with their legs. Yeah, right, Like, 914 00:42:43,640 --> 00:42:45,680 Speaker 3: you can obviously draw the wrong conclusion when you're dealing 915 00:42:45,719 --> 00:42:48,560 Speaker 3: with a complex system. Was that a ridiculous example? 916 00:42:48,680 --> 00:42:50,400 Speaker 2: Yeah, what famous experiment does that? 917 00:42:50,440 --> 00:42:52,239 Speaker 3: I've never heard it without a real experiment. It's a 918 00:42:52,239 --> 00:42:56,200 Speaker 3: famous anecdote illustrating how you can draw the wrong conclusion 919 00:42:56,239 --> 00:42:59,120 Speaker 3: from your data, even if it sounds reasonable. Right, So, 920 00:42:59,360 --> 00:43:01,680 Speaker 3: in this case, saying like it interferes with the gabba 921 00:43:01,880 --> 00:43:03,799 Speaker 3: and the anesthetics don't work the same way, and that 922 00:43:03,880 --> 00:43:06,120 Speaker 3: is suggestive, but I don't know how conclusive it is. 923 00:43:06,440 --> 00:43:10,040 Speaker 1: Yes, absolutely, I agree, and further highlighting the fact that 924 00:43:10,080 --> 00:43:12,719 Speaker 1: we don't really know what's going on. We've looked at 925 00:43:12,800 --> 00:43:16,480 Speaker 1: the structure of the chemicals that are used as general anesthetics, 926 00:43:16,840 --> 00:43:19,520 Speaker 1: and based on the chemical structures. We've tried to predict 927 00:43:19,680 --> 00:43:22,960 Speaker 1: other kinds of chemicals that should also act as anesthetics 928 00:43:22,960 --> 00:43:25,560 Speaker 1: because we think we understand what's going on. In some 929 00:43:25,600 --> 00:43:28,200 Speaker 1: cases that works and other cases it doesn't, So there's 930 00:43:28,520 --> 00:43:32,640 Speaker 1: something we don't understand. Also, doctor Shannon stem was telling 931 00:43:32,680 --> 00:43:36,600 Speaker 1: me that xenon kind of has similar characteristics when you 932 00:43:36,800 --> 00:43:39,040 Speaker 1: give it to people, like it acts as an anesthetic, 933 00:43:39,360 --> 00:43:41,960 Speaker 1: and xenon is a noble gas, so it's not supposed 934 00:43:41,960 --> 00:43:43,120 Speaker 1: to be reacting with anything. 935 00:43:43,200 --> 00:43:46,359 Speaker 2: So what the heck is happening there? We don't know. 936 00:43:46,600 --> 00:43:49,600 Speaker 3: Maybe it just interferes. Xenon can also like kill you 937 00:43:49,880 --> 00:43:52,600 Speaker 3: because you can breathe it in and it can interfere 938 00:43:52,640 --> 00:43:55,600 Speaker 3: with you breeding oxygen, right, so maybe it just gets 939 00:43:55,600 --> 00:43:56,000 Speaker 3: in the way. 940 00:43:56,239 --> 00:43:58,120 Speaker 1: Yeah, yep, maybe it does just get in the way. 941 00:43:58,200 --> 00:44:00,319 Speaker 1: And then it also seems like the function some of 942 00:44:00,320 --> 00:44:03,040 Speaker 1: the different kinds of anesthetics that we try is making 943 00:44:03,080 --> 00:44:06,080 Speaker 1: sells more excitatory, so more likely to talk to each other. 944 00:44:06,560 --> 00:44:09,719 Speaker 1: And so I saw what appeared to be a hypothesis 945 00:44:09,760 --> 00:44:13,120 Speaker 1: where the idea was just that it messes up communication. 946 00:44:13,239 --> 00:44:15,440 Speaker 1: So instead of having like a clear signal traveling from 947 00:44:15,440 --> 00:44:18,919 Speaker 1: neuron to neuron, there's just all kinds of things communicating 948 00:44:18,960 --> 00:44:21,120 Speaker 1: with each other at weird times, and it's more about 949 00:44:21,120 --> 00:44:24,360 Speaker 1: like the pattern of communication getting thrown off. But anyway, 950 00:44:24,400 --> 00:44:26,200 Speaker 1: I want to make clear that anything that I have 951 00:44:26,280 --> 00:44:28,759 Speaker 1: gotten incorrect is my fault and not the fault of 952 00:44:28,760 --> 00:44:32,759 Speaker 1: the anaesiologists who very patiently tried to explain this all 953 00:44:32,760 --> 00:44:32,920 Speaker 1: to me. 954 00:44:33,120 --> 00:44:35,480 Speaker 3: And how terrified you think they are by not really 955 00:44:35,600 --> 00:44:38,160 Speaker 3: knowing how this works. Doesn't that make it something of 956 00:44:38,200 --> 00:44:40,399 Speaker 3: an art For every patient you have to really monitor them. 957 00:44:40,400 --> 00:44:43,520 Speaker 3: Maybe they're reacting differently because you can't always predict how 958 00:44:43,560 --> 00:44:45,080 Speaker 3: much anesthetics somebody is going to need. 959 00:44:45,239 --> 00:44:48,520 Speaker 1: Yeah, so they both highlighted to me during our conversations 960 00:44:49,040 --> 00:44:53,239 Speaker 1: how amazing the monitoring equipment is now. So yes, you 961 00:44:53,320 --> 00:44:55,120 Speaker 1: do need to be careful. Some people need more, some 962 00:44:55,160 --> 00:44:59,200 Speaker 1: people need less. Some people have strong reactions, but they're 963 00:44:59,239 --> 00:45:01,719 Speaker 1: monitored very carefully, and as long as the people know 964 00:45:01,760 --> 00:45:04,600 Speaker 1: what they're doing, you know, and I'm sure hopefully all 965 00:45:04,680 --> 00:45:07,040 Speaker 1: certified anesthesiologists do know what they're doing. 966 00:45:07,440 --> 00:45:07,640 Speaker 2: You know. 967 00:45:07,719 --> 00:45:09,560 Speaker 1: They felt like it would be good if we knew 968 00:45:09,560 --> 00:45:12,080 Speaker 1: the mechanism, maybe that would help us become even better 969 00:45:12,120 --> 00:45:15,360 Speaker 1: at this stuff. But they felt like not knowing the 970 00:45:15,440 --> 00:45:19,200 Speaker 1: mechanism didn't keep us from doing a good and safe job. 971 00:45:19,320 --> 00:45:21,479 Speaker 1: And I feel like there's got to be all kinds 972 00:45:21,480 --> 00:45:24,120 Speaker 1: of physics stuff that you apply that even though you 973 00:45:24,120 --> 00:45:27,560 Speaker 1: don't understand it at a like atomic level or whatever, 974 00:45:27,880 --> 00:45:30,840 Speaker 1: you can still form predictions and you know, do amazing 975 00:45:30,880 --> 00:45:31,640 Speaker 1: new experiments. 976 00:45:31,920 --> 00:45:33,839 Speaker 3: Oh for sure, there's so many cases where we don't 977 00:45:33,920 --> 00:45:37,520 Speaker 3: understand the microphysics. It's too complicated for us to model that. 978 00:45:37,640 --> 00:45:40,799 Speaker 3: We know generally how things behave and so absolutely you 979 00:45:40,800 --> 00:45:42,960 Speaker 3: don't need to know all the details. I'm just super 980 00:45:43,000 --> 00:45:45,600 Speaker 3: curious and oh yeah, you know, somebody's life is at 981 00:45:45,600 --> 00:45:49,000 Speaker 3: stake here, and so it seems pretty important. You get 982 00:45:49,040 --> 00:45:51,399 Speaker 3: a sense from them, like what is the cutting edge? 983 00:45:51,440 --> 00:45:55,200 Speaker 3: Are we gonna in ten years develop new amazing anesthetics 984 00:45:55,200 --> 00:45:59,359 Speaker 3: that are better or safer or transcendently wonderful or something. 985 00:46:00,840 --> 00:46:02,759 Speaker 1: I didn't get a clear answer on that. They did 986 00:46:02,840 --> 00:46:05,480 Speaker 1: mention in passing again how great we are getting it 987 00:46:05,600 --> 00:46:08,200 Speaker 1: monitoring and how we're getting a better understanding of how 988 00:46:08,239 --> 00:46:11,279 Speaker 1: people from different backgrounds respond differently to anesthesia so that 989 00:46:11,320 --> 00:46:13,880 Speaker 1: we can try to make things even safer for everyone. 990 00:46:14,360 --> 00:46:18,400 Speaker 1: My conversations with Shannon highlighted that they are trying to 991 00:46:18,719 --> 00:46:21,560 Speaker 1: predict different compounds that would make good anesthetics, and they're 992 00:46:21,560 --> 00:46:23,880 Speaker 1: trying those out. So maybe we'll even have better tools 993 00:46:23,920 --> 00:46:27,040 Speaker 1: in the future. But if they were here, they might 994 00:46:27,040 --> 00:46:32,200 Speaker 1: give a much better answer, no surprise. So the final 995 00:46:32,280 --> 00:46:36,360 Speaker 1: question we got from the listener is going under anesthesia 996 00:46:36,440 --> 00:46:39,000 Speaker 1: different than sleeping or is it the same? And it's 997 00:46:39,040 --> 00:46:42,279 Speaker 1: definitely different than sleeping. So the anesthesiologists I talked to 998 00:46:42,360 --> 00:46:45,960 Speaker 1: said that it's more like a drug induced reversible coma. 999 00:46:46,080 --> 00:46:46,920 Speaker 2: Whoa, yeah. 1000 00:46:46,960 --> 00:46:49,280 Speaker 1: So the main criteria or that you want the person 1001 00:46:49,320 --> 00:46:53,480 Speaker 1: to be unconscious, not feeling pain, not moving, and making 1002 00:46:53,520 --> 00:46:58,320 Speaker 1: no memories. So when you're sleeping, one you move, people 1003 00:46:58,360 --> 00:47:02,320 Speaker 1: sleepwalk sometimes Two if somebody were to poke you, you 1004 00:47:02,360 --> 00:47:03,120 Speaker 1: would feel pain. 1005 00:47:03,880 --> 00:47:04,160 Speaker 4: Three. 1006 00:47:04,680 --> 00:47:06,920 Speaker 1: As I understand it, the main function of sleep is 1007 00:47:06,920 --> 00:47:09,759 Speaker 1: that it helps us consolidate memories and sometimes you even 1008 00:47:09,840 --> 00:47:12,160 Speaker 1: remember the dreams that you had, whereas when you are 1009 00:47:12,280 --> 00:47:16,640 Speaker 1: knocked out under general anesthesia, you don't make any memories. Additionally, 1010 00:47:16,800 --> 00:47:20,799 Speaker 1: when you are sleeping, when you do an EEG, you're 1011 00:47:20,840 --> 00:47:23,919 Speaker 1: looking at the activity in your brain and you'll see 1012 00:47:23,920 --> 00:47:27,640 Speaker 1: that we alternate between two different kinds of brain waves. 1013 00:47:27,640 --> 00:47:30,440 Speaker 1: So when we're in rapid eye movement sleep, our brains 1014 00:47:30,640 --> 00:47:32,759 Speaker 1: are doing one thing, and when we get out of 1015 00:47:32,840 --> 00:47:35,280 Speaker 1: rapid eye movement sleep, our brains are doing something different. 1016 00:47:35,480 --> 00:47:37,120 Speaker 1: And we're going to probably go into a lot more 1017 00:47:37,160 --> 00:47:39,399 Speaker 1: detail about this in a future episode because we're getting 1018 00:47:39,440 --> 00:47:41,359 Speaker 1: doctor Gina Poe on the show to tell us all 1019 00:47:41,400 --> 00:47:44,919 Speaker 1: about sleep and why we sleep, So more on that later. 1020 00:47:44,960 --> 00:47:47,080 Speaker 1: But the point is that when we're sleeping, our brains 1021 00:47:47,080 --> 00:47:49,600 Speaker 1: are sort of alternating between two modes, and when you 1022 00:47:49,640 --> 00:47:53,080 Speaker 1: go under anesthesia, you are staying in the same mode 1023 00:47:53,120 --> 00:47:55,560 Speaker 1: the whole time. And I believe it also just like 1024 00:47:55,640 --> 00:47:59,680 Speaker 1: creates different sort of electrical patterns altogether, so there's really 1025 00:47:59,680 --> 00:48:01,680 Speaker 1: no way in which it's sleep. And this is we 1026 00:48:01,680 --> 00:48:04,439 Speaker 1: can sort of end on a moderately interesting story, which 1027 00:48:04,480 --> 00:48:09,360 Speaker 1: is Michael Jackson used to take this drug called propofol 1028 00:48:09,719 --> 00:48:11,840 Speaker 1: and it's an anesthetic. It helped knock him out and 1029 00:48:11,880 --> 00:48:14,640 Speaker 1: it made him feel good, and so he was given 1030 00:48:14,680 --> 00:48:17,840 Speaker 1: it by his doctor at night to help him sleep. 1031 00:48:17,600 --> 00:48:18,720 Speaker 3: Because he has sleep problems. 1032 00:48:18,800 --> 00:48:22,439 Speaker 1: Right, Okay, yeah, but it's not actually sleep. So all 1033 00:48:22,480 --> 00:48:25,040 Speaker 1: of the important things that your body does while you're 1034 00:48:25,080 --> 00:48:27,840 Speaker 1: sleeping are not getting done, or at least they're not 1035 00:48:27,840 --> 00:48:30,960 Speaker 1: getting done as well when you're knocked out by something 1036 00:48:31,000 --> 00:48:34,200 Speaker 1: like propofol. And so part of why it's thought that 1037 00:48:34,280 --> 00:48:36,839 Speaker 1: he ended up dying was because he was laying down, 1038 00:48:36,880 --> 00:48:38,200 Speaker 1: but he was actually over time. 1039 00:48:38,040 --> 00:48:39,320 Speaker 2: Being deprived of sleep. 1040 00:48:39,400 --> 00:48:40,040 Speaker 3: Oh my god. 1041 00:48:40,400 --> 00:48:42,360 Speaker 1: So it is different than sleep in a way that 1042 00:48:42,440 --> 00:48:43,920 Speaker 1: is very meaningful and important. 1043 00:48:44,120 --> 00:48:47,640 Speaker 3: It's amazing how vital and how crucial all these brain 1044 00:48:47,680 --> 00:48:51,080 Speaker 3: functions are, how little we understand them, and yet how 1045 00:48:51,200 --> 00:48:55,879 Speaker 3: much we rely on all these medical advances to manipulate them. 1046 00:48:56,160 --> 00:48:57,279 Speaker 2: Yeah, it's incredible. 1047 00:48:57,320 --> 00:48:59,759 Speaker 1: And you know, despite the fact that we don't really 1048 00:49:00,160 --> 00:49:03,040 Speaker 1: stand this at a mechanistic level, I am still on 1049 00:49:03,160 --> 00:49:06,479 Speaker 1: team anesthesia. I would not want to live and any 1050 00:49:06,520 --> 00:49:09,400 Speaker 1: time that didn't have it. And you know, in addition 1051 00:49:09,440 --> 00:49:12,120 Speaker 1: to not needing to be like literally pinned down and 1052 00:49:12,200 --> 00:49:15,719 Speaker 1: restrained while someone cuts into you for surgeries, Yeah, anesthesia 1053 00:49:15,760 --> 00:49:20,040 Speaker 1: opened up much longer, much more complicated surgeries. And it has, uh, 1054 00:49:20,120 --> 00:49:22,200 Speaker 1: i'd say, really changed our lives in a lot of 1055 00:49:22,239 --> 00:49:22,760 Speaker 1: great ways. 1056 00:49:22,880 --> 00:49:25,920 Speaker 3: Yeah, and it's so recent right until Yeah, just a 1057 00:49:25,920 --> 00:49:29,040 Speaker 3: couple hundred years ago, surgery was horrible suffering. 1058 00:49:29,239 --> 00:49:29,600 Speaker 2: M M. 1059 00:49:30,000 --> 00:49:33,320 Speaker 3: Makes me wonder what medical advances in a few years 1060 00:49:33,400 --> 00:49:36,239 Speaker 3: or a few hundred years people will be unable to 1061 00:49:36,320 --> 00:49:38,960 Speaker 3: live without or imagine what it was like before we 1062 00:49:39,040 --> 00:49:39,399 Speaker 3: had them. 1063 00:49:39,600 --> 00:49:41,319 Speaker 1: Yeah, no, it's incredible. I mean I had to have 1064 00:49:41,320 --> 00:49:43,680 Speaker 1: my wisdom teeth out. I can't imagine someone just yanking 1065 00:49:43,680 --> 00:49:46,120 Speaker 1: those out with pliers without being knocked out. And clearly 1066 00:49:46,160 --> 00:49:48,640 Speaker 1: that is one of the easier surgeries I've never I've 1067 00:49:48,640 --> 00:49:51,160 Speaker 1: never had someone have to cut into my abdomen, for example, 1068 00:49:52,160 --> 00:49:54,400 Speaker 1: So hurrah for living today. 1069 00:49:56,480 --> 00:49:58,759 Speaker 3: All right, Well, we hope that journey into the history 1070 00:49:58,800 --> 00:50:01,480 Speaker 3: of anesthesia didn't put you you all to sleep numb. 1071 00:50:01,640 --> 00:50:03,279 Speaker 3: Your brain couldn't have. 1072 00:50:03,440 --> 00:50:04,359 Speaker 2: It was fascinating. 1073 00:50:05,920 --> 00:50:08,400 Speaker 3: Some folks like to listen to the podcast to fall asleep, 1074 00:50:08,480 --> 00:50:12,040 Speaker 3: so we hope that they're now asleep. Pleasantly. Have a 1075 00:50:12,040 --> 00:50:12,520 Speaker 3: great night. 1076 00:50:12,560 --> 00:50:16,439 Speaker 1: Everyone sleep tight, And let's end by hearing what Eric 1077 00:50:16,520 --> 00:50:19,919 Speaker 1: thought about our hour long episode on anesthesia. 1078 00:50:20,320 --> 00:50:23,960 Speaker 6: Eric, that definitely answered my questions. I went to college 1079 00:50:23,960 --> 00:50:26,080 Speaker 6: in Atlanta, so I think I'm definitely gonna have to 1080 00:50:26,080 --> 00:50:29,200 Speaker 6: be on Team Crawford Long in the Great Anesthesia Wars. 1081 00:50:29,680 --> 00:50:31,719 Speaker 6: And I admit to a little disappointment that I was 1082 00:50:31,760 --> 00:50:34,880 Speaker 6: born too late for ether parties and too early to 1083 00:50:34,920 --> 00:50:37,279 Speaker 6: live in a city on Mars. But I do live 1084 00:50:37,360 --> 00:50:39,719 Speaker 6: in the golden Age of podcasts. So thank you so 1085 00:50:39,840 --> 00:50:40,759 Speaker 6: much and. 1086 00:50:40,880 --> 00:50:41,680 Speaker 3: Have a great day. 1087 00:50:48,640 --> 00:50:52,200 Speaker 1: Daniel and Kelly's Extraordinary Universe is produced by iHeartRadio. 1088 00:50:52,400 --> 00:50:54,000 Speaker 2: We would love to hear from you. 1089 00:50:54,040 --> 00:50:57,000 Speaker 3: We really would. We want to know what questions you 1090 00:50:57,200 --> 00:50:59,880 Speaker 3: have about this Extraordinary Universe. 1091 00:51:00,120 --> 00:51:02,960 Speaker 1: Want to know your thoughts on recent shows, suggestions for 1092 00:51:03,040 --> 00:51:03,840 Speaker 1: future shows. 1093 00:51:04,000 --> 00:51:06,319 Speaker 2: If you contact us, we will get back to you. 1094 00:51:06,600 --> 00:51:10,120 Speaker 3: We really mean it. We answer every message. Email us 1095 00:51:10,160 --> 00:51:13,360 Speaker 3: at Questions at Danielankelly. 1096 00:51:12,440 --> 00:51:14,479 Speaker 1: Dot org, or you can find us on social media. 1097 00:51:14,600 --> 00:51:18,440 Speaker 1: We have accounts on x, Instagram, Blue Sky and on 1098 00:51:18,480 --> 00:51:19,400 Speaker 1: all of those platforms. 1099 00:51:19,480 --> 00:51:22,400 Speaker 2: You can find us at D and K Universe. 1100 00:51:22,640 --> 00:51:24,200 Speaker 3: Don't be shy, write to us.