1 00:00:00,920 --> 00:00:04,120 Speaker 1: Welcome to you stuff you should know from house Stuff 2 00:00:04,120 --> 00:00:12,400 Speaker 1: Works dot com. Hey, and welcome to the podcast. I'm 3 00:00:12,480 --> 00:00:15,480 Speaker 1: Josh Clark, There's Charles w Chuck Bryant, and Jerry is 4 00:00:15,520 --> 00:00:19,599 Speaker 1: in a certain kind of mood today. She's making jokes 5 00:00:19,600 --> 00:00:22,520 Speaker 1: and stuff talking. Yeah, she made a joke that would 6 00:00:22,520 --> 00:00:23,880 Speaker 1: have been great for the show, and I was like, well, 7 00:00:23,880 --> 00:00:25,000 Speaker 1: look at you. And then she was like, oh, I 8 00:00:25,000 --> 00:00:27,840 Speaker 1: didn't say you could use that joke. It's her man, 9 00:00:28,120 --> 00:00:30,080 Speaker 1: she's got her spinning bow tie on the day. I'm 10 00:00:30,120 --> 00:00:32,800 Speaker 1: gonna say the joke. Jerry said that her blood type 11 00:00:32,800 --> 00:00:35,880 Speaker 1: was a positive, which she thought was the most optimistic 12 00:00:35,960 --> 00:00:38,440 Speaker 1: of blood types. It doesn't even make sense, Sure it does, 13 00:00:38,720 --> 00:00:42,559 Speaker 1: that doesn't She's a positive person. Oh, I see. I 14 00:00:42,640 --> 00:00:45,599 Speaker 1: think of a positive is like a plus. So like 15 00:00:45,680 --> 00:00:48,240 Speaker 1: you were the star stum. Yeah, the star student of 16 00:00:48,280 --> 00:00:50,960 Speaker 1: the blood type. That makes sense. Though. That's not a 17 00:00:50,960 --> 00:00:54,240 Speaker 1: bad joke, Jerry know that. I understand. It's the first 18 00:00:54,320 --> 00:00:57,960 Speaker 1: joke she's given us in seven years. Way to go, Jeers, 19 00:00:58,360 --> 00:01:00,600 Speaker 1: that's gonna be a trivia question. You're down the roads 20 00:01:00,920 --> 00:01:04,960 Speaker 1: just knocking up with Jerry's one joke. How are you, sir? 21 00:01:05,760 --> 00:01:11,360 Speaker 1: I'm doing good. I'm feeling a positive myself. I'm feeling 22 00:01:11,400 --> 00:01:16,880 Speaker 1: oh negative. Wow, this joke just keep I don't even 23 00:01:16,920 --> 00:01:19,200 Speaker 1: know my blood type. I don't know mine neither. Is 24 00:01:19,319 --> 00:01:21,680 Speaker 1: that crazy? Yeah, that's great. And I've never had to 25 00:01:22,000 --> 00:01:25,199 Speaker 1: I mean, I've given blood IVY, but I don't. I don't. 26 00:01:25,280 --> 00:01:29,039 Speaker 1: I've never received blood. Get the records. Don't they test 27 00:01:29,080 --> 00:01:31,440 Speaker 1: your blood type? I guess, but I don't. Ever, I 28 00:01:31,480 --> 00:01:33,720 Speaker 1: don't know. It should be on your donor card. I 29 00:01:33,760 --> 00:01:36,920 Speaker 1: think you know what I do have, and this is 30 00:01:36,959 --> 00:01:40,480 Speaker 1: so silly. I have some dog tags that I made 31 00:01:40,480 --> 00:01:41,959 Speaker 1: when I was in high school because I just thought 32 00:01:42,000 --> 00:01:45,560 Speaker 1: it was cool to wear in shop. I didn't make 33 00:01:45,560 --> 00:01:48,040 Speaker 1: it myself. I had them made. Oh I see, oh 34 00:01:48,040 --> 00:01:50,840 Speaker 1: hey Richie. Richis like, I'm gonna get dog tag. That's 35 00:01:50,880 --> 00:01:54,360 Speaker 1: neat and um, I don't know. I went through a 36 00:01:54,360 --> 00:01:57,480 Speaker 1: little phase. I guess the dog tag and it's your 37 00:01:57,480 --> 00:01:59,520 Speaker 1: blood type on that it is and I actually know 38 00:01:59,560 --> 00:02:01,160 Speaker 1: where they are are so I could go find that. 39 00:02:01,520 --> 00:02:04,240 Speaker 1: I can wait, all right, I'll be back. Just give 40 00:02:04,280 --> 00:02:07,520 Speaker 1: me a couple of hours. Well, I legitimately have no 41 00:02:07,600 --> 00:02:12,080 Speaker 1: idea what my blood type is, um, because I didn't 42 00:02:12,080 --> 00:02:14,880 Speaker 1: go through a dog tag face and it's not on 43 00:02:14,960 --> 00:02:20,040 Speaker 1: my birth certificate. I went and looked, not there was 44 00:02:20,040 --> 00:02:22,880 Speaker 1: your real name, your real name, I think, so, I'm 45 00:02:22,880 --> 00:02:26,399 Speaker 1: pretty sure I wasn't an abductive baby. I've always had 46 00:02:26,400 --> 00:02:28,400 Speaker 1: this fear that, like I look at my birth certificate 47 00:02:28,480 --> 00:02:30,400 Speaker 1: and find out I'm like three years older or something 48 00:02:30,400 --> 00:02:32,560 Speaker 1: that I thought I was. This is a strange fear, 49 00:02:32,680 --> 00:02:36,040 Speaker 1: which would explain a lot. Really, yeah, it's fine, okay 50 00:02:36,160 --> 00:02:39,880 Speaker 1: if you were what now, If you're forty, yeah you are, 51 00:02:40,000 --> 00:02:42,800 Speaker 1: happy birthday, thank you. If I was forty seven, you 52 00:02:42,840 --> 00:02:45,959 Speaker 1: and Julius Caesar just celebrated a birthday that would be bad. 53 00:02:47,320 --> 00:02:49,440 Speaker 1: Or was it his birthday or he just died that 54 00:02:49,520 --> 00:02:51,800 Speaker 1: was the death day. Yeah, that was the opposite of 55 00:02:51,800 --> 00:02:55,519 Speaker 1: his birthday. Yeah, although some people have died on their birthday, 56 00:02:55,760 --> 00:02:59,480 Speaker 1: some famous people. Oh really yeah. I don't remember who though, 57 00:02:59,480 --> 00:03:03,160 Speaker 1: but at LEAs one famous person was at Ason or 58 00:03:03,160 --> 00:03:05,720 Speaker 1: Alexander Graham, Bell somebody like that that did they die 59 00:03:05,800 --> 00:03:10,640 Speaker 1: because of their birthday? Thomas Jefferson. Maybe No, it wasn't. Okay, 60 00:03:10,680 --> 00:03:12,440 Speaker 1: it wasn't anything like that as far as I know, 61 00:03:12,480 --> 00:03:15,200 Speaker 1: Like they didn't like a party, their last breath, blowing 62 00:03:15,200 --> 00:03:19,639 Speaker 1: out their candles, that'd be pretty neat. So blood types. 63 00:03:20,680 --> 00:03:24,400 Speaker 1: Did you know much about this? Did not? I didn't either. 64 00:03:24,520 --> 00:03:28,600 Speaker 1: I just suspected it was fascinating. They had a vague 65 00:03:28,639 --> 00:03:32,480 Speaker 1: awareness of it because, um remember the ten scientists who 66 00:03:32,520 --> 00:03:36,040 Speaker 1: were their own guinea pigs episode. Karl Landsteiner makes an 67 00:03:36,040 --> 00:03:42,400 Speaker 1: appearance in that, yeah, which I think means uh, well, 68 00:03:42,480 --> 00:03:48,080 Speaker 1: stein is Stone, So like land Stoner, he's a landstowner. Nice, 69 00:03:48,280 --> 00:03:50,960 Speaker 1: good for him. He was quite a doctor though for 70 00:03:51,000 --> 00:03:56,520 Speaker 1: a landstowner. He uh he was fearless. Yeah, well, not 71 00:03:56,640 --> 00:04:00,000 Speaker 1: really fearless. He was fearless about um needles, He didn't 72 00:04:00,080 --> 00:04:04,800 Speaker 1: mind with drawing blood from himself. Um. But the reason 73 00:04:04,840 --> 00:04:06,880 Speaker 1: we bring up carl An Stannard because he's the guy 74 00:04:07,000 --> 00:04:11,920 Speaker 1: who finally discovered blood types way back in the d R. 75 00:04:13,200 --> 00:04:16,920 Speaker 1: Yeah exactly. He got the Nobel for it in n Yeah, 76 00:04:16,960 --> 00:04:19,880 Speaker 1: so it's pretty recent stuff here, you know. Yeah, but 77 00:04:19,960 --> 00:04:22,520 Speaker 1: I thought the history, uh you did the research on this, 78 00:04:22,640 --> 00:04:25,960 Speaker 1: which thanks man, hats off to you. I appreciate it. Um. 79 00:04:26,000 --> 00:04:28,840 Speaker 1: I thought the history of it was super interesting. Um. 80 00:04:28,960 --> 00:04:31,360 Speaker 1: So yeah, carl Anstarner was the first guy, and we'll 81 00:04:31,360 --> 00:04:32,960 Speaker 1: talk about him a little more in depth than what 82 00:04:33,000 --> 00:04:35,279 Speaker 1: he did. Um, but he was the first guy to 83 00:04:36,200 --> 00:04:40,400 Speaker 1: identify the A, B O blood types. Um. But prior 84 00:04:40,480 --> 00:04:43,320 Speaker 1: to him, people were aware that there was some weirdness 85 00:04:43,360 --> 00:04:45,320 Speaker 1: with blood and that you couldn't just mix the stuff 86 00:04:45,360 --> 00:04:49,280 Speaker 1: willie nilly and expect good results. Because for a very 87 00:04:49,320 --> 00:04:54,559 Speaker 1: long time, humans, thanks to horrible things like vivisection, knew 88 00:04:54,600 --> 00:04:58,000 Speaker 1: that we are blood was very, very vital. It was 89 00:04:58,040 --> 00:05:01,320 Speaker 1: a vital life force. Yeah. And um, you know back 90 00:05:01,360 --> 00:05:03,400 Speaker 1: in the day, I think we've talked about bleeding in 91 00:05:03,480 --> 00:05:06,560 Speaker 1: barbers before, but they were real big on taking blood 92 00:05:06,600 --> 00:05:10,919 Speaker 1: out of people. Um. And at some point, I guess 93 00:05:10,960 --> 00:05:14,440 Speaker 1: some doctors must have, you know, taken some drugs and thought, 94 00:05:14,880 --> 00:05:17,680 Speaker 1: I wonder what would happen if we put blood into 95 00:05:17,720 --> 00:05:19,720 Speaker 1: a person? Right, Well, I mean, if you think about it, 96 00:05:19,720 --> 00:05:21,360 Speaker 1: if you're like, this is a vital life force. If 97 00:05:21,360 --> 00:05:24,200 Speaker 1: you have somebody who's dying from bleeding out like a hemorrhage, 98 00:05:24,640 --> 00:05:28,000 Speaker 1: which happened a lot like during childbirth, for example, then 99 00:05:28,080 --> 00:05:31,120 Speaker 1: you would think maybe if I took some healthy blood 100 00:05:31,360 --> 00:05:34,160 Speaker 1: and put it into a dying person who's bleeding to death, 101 00:05:34,320 --> 00:05:37,120 Speaker 1: they'll come back. Yeah. And of course, uh, they had 102 00:05:37,120 --> 00:05:39,560 Speaker 1: all sorts of like crazy notions back then, so they 103 00:05:39,560 --> 00:05:42,839 Speaker 1: thought it could like bleeding someone out. They thought putting 104 00:05:42,839 --> 00:05:46,840 Speaker 1: blood back in someone could cure weird things like insanity, 105 00:05:47,360 --> 00:05:49,360 Speaker 1: which we, of course we know now has nothing to 106 00:05:49,400 --> 00:05:51,680 Speaker 1: do with that kind of thing, right, So they said, well, 107 00:05:51,760 --> 00:05:55,920 Speaker 1: let's try this, let's see what we can do. Um. 108 00:05:56,160 --> 00:06:00,479 Speaker 1: They didn't start with human blood, oddly enough, he went 109 00:06:00,600 --> 00:06:03,640 Speaker 1: right to the animal blood. Uh. And it was not 110 00:06:03,880 --> 00:06:07,600 Speaker 1: good when they started taking blood from animals like cows, 111 00:06:08,080 --> 00:06:12,280 Speaker 1: calves and injecting it into human patients. Yeah. There was 112 00:06:12,320 --> 00:06:16,240 Speaker 1: a French doctor that put cast blood into a madman. Yeah, 113 00:06:16,320 --> 00:06:20,640 Speaker 1: Jean Baptiste. Denise the doctor, okay, and he Um. The 114 00:06:20,680 --> 00:06:25,919 Speaker 1: madman started to sweat and vomit and urinate the color 115 00:06:25,960 --> 00:06:28,440 Speaker 1: of chimney soot, and I guess the doctor said, yep, 116 00:06:28,680 --> 00:06:32,320 Speaker 1: he's a madman, and then he gave him another transfusion 117 00:06:32,520 --> 00:06:35,280 Speaker 1: after that after Yeah, and then the guy died and 118 00:06:35,360 --> 00:06:38,520 Speaker 1: actually Denise was charged with murder for that and he 119 00:06:38,839 --> 00:06:42,880 Speaker 1: was forced to quit medicine. Man, it was very very scandalous, um, 120 00:06:42,920 --> 00:06:46,120 Speaker 1: even though he was experimenting on a madman, which you 121 00:06:46,120 --> 00:06:48,599 Speaker 1: know at the time was pretty much fair game for anything. 122 00:06:49,120 --> 00:06:53,000 Speaker 1: I think the horrific accounts of the whole thing really 123 00:06:53,080 --> 00:06:57,200 Speaker 1: kind of captured the national imagination and as a result, um, 124 00:06:57,360 --> 00:07:01,880 Speaker 1: the Decree of Chalet was shoot by the French monarchy 125 00:07:02,279 --> 00:07:06,280 Speaker 1: that basically said oh no, no, no no, no more transfusions 126 00:07:07,080 --> 00:07:10,040 Speaker 1: and uh for a while, like basically a hundred and 127 00:07:10,040 --> 00:07:14,160 Speaker 1: fifty years this it was banned in France and the 128 00:07:14,200 --> 00:07:17,200 Speaker 1: effect that it had kind of extended over the continent. 129 00:07:17,320 --> 00:07:21,680 Speaker 1: It was basically de facto banned throughout Europe because these 130 00:07:21,720 --> 00:07:26,360 Speaker 1: horrible experiments by Denny's and others that had these terrible results. 131 00:07:26,400 --> 00:07:30,040 Speaker 1: It was like, you guys, this is mad science, and 132 00:07:30,160 --> 00:07:32,559 Speaker 1: you can't do that anymore because it's a really bad news. 133 00:07:32,840 --> 00:07:36,760 Speaker 1: France also banned ketchup when like three years ago the 134 00:07:36,840 --> 00:07:40,880 Speaker 1: band catch up, but chats up around still now. They 135 00:07:40,880 --> 00:07:44,080 Speaker 1: didn't ban the spelling of ketchup, they banned the condiment 136 00:07:44,200 --> 00:07:47,840 Speaker 1: in school cafeterias, and um, I think a lot of 137 00:07:47,840 --> 00:07:51,320 Speaker 1: people were put it on like uh, French cuisine, like 138 00:07:51,360 --> 00:07:53,720 Speaker 1: they don't want to catch up on their cuisine. But 139 00:07:53,800 --> 00:07:57,400 Speaker 1: it had to do with the sugar, yeah, the sugar intake. 140 00:07:58,240 --> 00:08:01,000 Speaker 1: But they said it's okay for French fries, which they 141 00:08:01,040 --> 00:08:05,040 Speaker 1: just called fries over there, exactly Fritz. I think so 142 00:08:05,120 --> 00:08:07,040 Speaker 1: they band catch up and then a long time ago 143 00:08:07,080 --> 00:08:12,920 Speaker 1: they banned blood transfusions. That's right, thank you, Franz. That's right. 144 00:08:12,960 --> 00:08:15,200 Speaker 1: And it stayed that way for a long time. I 145 00:08:15,200 --> 00:08:16,920 Speaker 1: mean there were doctors here and there in the nineteenth 146 00:08:16,920 --> 00:08:20,360 Speaker 1: century that that experimented around a little bit, of course. Yeah. 147 00:08:20,360 --> 00:08:22,760 Speaker 1: Well the Decree of shell it was sixty eight and 148 00:08:22,800 --> 00:08:26,840 Speaker 1: it really was prohibitive until the mid nineteenth century, the 149 00:08:26,920 --> 00:08:29,880 Speaker 1: early nineteenth century. Well, and that's when the guy named, 150 00:08:29,960 --> 00:08:34,760 Speaker 1: a physician in Britain named James Blendell was tired of 151 00:08:34,760 --> 00:08:38,559 Speaker 1: seeing his patients died during childbirth bleeding out like you 152 00:08:38,600 --> 00:08:40,400 Speaker 1: were talking about. Yeah, he's one of the heroes of 153 00:08:40,400 --> 00:08:42,120 Speaker 1: the story, he is. And he said, you know what, 154 00:08:43,200 --> 00:08:46,120 Speaker 1: there's got to be a better way, and let me 155 00:08:46,280 --> 00:08:48,959 Speaker 1: try and and you know, let me try and put 156 00:08:49,000 --> 00:08:51,480 Speaker 1: blood that's not an animal into someone. Yeah. The thing 157 00:08:51,520 --> 00:08:56,360 Speaker 1: that Blendell figured out was that the great error that 158 00:08:56,440 --> 00:08:59,960 Speaker 1: the early French doctors were doing was using the blow 159 00:09:00,000 --> 00:09:02,760 Speaker 1: out of a brute. As he put it, that don't 160 00:09:02,800 --> 00:09:06,320 Speaker 1: mean a jerk, right right, means an animal. He guys, like, 161 00:09:06,400 --> 00:09:10,320 Speaker 1: just let me watch my rugby. Um, the mixing like 162 00:09:10,400 --> 00:09:13,199 Speaker 1: the blood of one species with another. Blendell decided was 163 00:09:13,360 --> 00:09:15,319 Speaker 1: just a really bad move and that that's what it 164 00:09:15,480 --> 00:09:19,199 Speaker 1: caused these horrible reactions. Really good start, right, So human 165 00:09:19,320 --> 00:09:23,680 Speaker 1: human blood, he decided would should work, it would possibly work, 166 00:09:24,080 --> 00:09:28,920 Speaker 1: And he faced an immediate problem, which was, you have 167 00:09:29,080 --> 00:09:31,640 Speaker 1: no means of getting blood out of somebody and into 168 00:09:31,720 --> 00:09:33,760 Speaker 1: somebody else at this point, blood hell, what are you 169 00:09:33,760 --> 00:09:36,559 Speaker 1: gonna do? So he invented a contraption for it, like 170 00:09:36,600 --> 00:09:40,520 Speaker 1: the first blood transfusing contraption was invented by James Blendell 171 00:09:40,760 --> 00:09:43,080 Speaker 1: for this very recent Yeah, And he got some dogs 172 00:09:43,160 --> 00:09:45,960 Speaker 1: and he practiced on them, and uh, I have a 173 00:09:45,960 --> 00:09:48,079 Speaker 1: bad feeling that some of those dogs probably died. I 174 00:09:48,120 --> 00:09:52,000 Speaker 1: would guess along the way. But um he he eventually 175 00:09:52,040 --> 00:09:53,800 Speaker 1: got to a guy that was bleeding to death, and 176 00:09:53,920 --> 00:09:57,480 Speaker 1: I guess. The guy was like, um, doctor, I'm bleeding 177 00:09:57,720 --> 00:10:01,160 Speaker 1: a lot, and could you take some of that blood 178 00:10:01,320 --> 00:10:03,800 Speaker 1: and put it back into me? But because that might 179 00:10:03,800 --> 00:10:06,959 Speaker 1: be a good idea, because I'm told it's important, like 180 00:10:07,240 --> 00:10:11,520 Speaker 1: chimneys in the Yeah, let's just go for this, and 181 00:10:11,600 --> 00:10:15,360 Speaker 1: he did. Then the guy died. Well yeah, but it 182 00:10:15,400 --> 00:10:18,240 Speaker 1: was two days, which wasn't too bad. So I guess 183 00:10:18,240 --> 00:10:23,160 Speaker 1: he was like, he didn't see vomit or charcoal sut urine, right, 184 00:10:23,200 --> 00:10:25,320 Speaker 1: And the guy did say he was feeling less fainty. 185 00:10:26,120 --> 00:10:28,560 Speaker 1: So it did revive him for two days. That's a 186 00:10:28,600 --> 00:10:34,560 Speaker 1: great prognosis, I think. But because he didn't see all 187 00:10:34,559 --> 00:10:39,160 Speaker 1: those awful reactions immediately, he was sort of onto something. 188 00:10:39,720 --> 00:10:43,079 Speaker 1: Even though the guy died, he was encouraged by the results, right, Yeah, 189 00:10:43,120 --> 00:10:46,079 Speaker 1: so he went on to perform I believe ten more 190 00:10:46,120 --> 00:10:52,000 Speaker 1: blood transfusions and um the result, says the the author 191 00:10:52,040 --> 00:10:55,240 Speaker 1: of one of the articles we used for research, Carl Zimmer, 192 00:10:55,520 --> 00:10:59,160 Speaker 1: who wrote a great article in Mosaic about blood types UM. 193 00:10:59,200 --> 00:11:01,920 Speaker 1: As he put it, the results were dismal. Four out 194 00:11:01,920 --> 00:11:05,200 Speaker 1: of the ten survived. It's not too bad. I'm kind 195 00:11:05,200 --> 00:11:08,000 Speaker 1: of like, if this guy is just shooting in the dark, 196 00:11:08,400 --> 00:11:13,520 Speaker 1: mixing human blood together, and yeah, he's doing okay. But 197 00:11:13,600 --> 00:11:16,640 Speaker 1: what he what he proved was that you can take 198 00:11:17,120 --> 00:11:20,320 Speaker 1: human blood and transfer it from one human to another. 199 00:11:20,640 --> 00:11:23,000 Speaker 1: But there's still something we don't know, like what it 200 00:11:23,040 --> 00:11:26,360 Speaker 1: should be a hundred percent success rate? What's the problem here? 201 00:11:26,559 --> 00:11:29,079 Speaker 1: And he never lived to see the answer to it. 202 00:11:29,120 --> 00:11:32,720 Speaker 1: But it was Carl land Steiner who who figured it 203 00:11:32,720 --> 00:11:37,559 Speaker 1: out before them, because because blood Dell's success rate was 204 00:11:37,600 --> 00:11:40,600 Speaker 1: still pretty low and he was working in the twenties 205 00:11:40,640 --> 00:11:44,520 Speaker 1: something like that. In the mid nineteenth century, there was 206 00:11:44,720 --> 00:11:50,160 Speaker 1: a weird little um sidetrack that took place the milk Yeah, 207 00:11:50,679 --> 00:11:53,720 Speaker 1: in in North America and Canada. In the United States, 208 00:11:54,160 --> 00:11:58,760 Speaker 1: doctors decided that milk would be a better substitute for 209 00:11:58,800 --> 00:12:03,199 Speaker 1: transfusions than blow. Yeah. Were they mixing milk into the 210 00:12:03,200 --> 00:12:06,040 Speaker 1: blood or were they just injecting milk directly into the 211 00:12:06,040 --> 00:12:09,640 Speaker 1: blood stream. Here is some sheep's milk, um goat. It 212 00:12:09,679 --> 00:12:12,880 Speaker 1: looks or smells or taste nothing like human blood, but 213 00:12:13,160 --> 00:12:16,120 Speaker 1: let's give it a shot. They're thinking was that the 214 00:12:16,200 --> 00:12:19,720 Speaker 1: fats in the milk would be converted into white blood 215 00:12:19,720 --> 00:12:22,200 Speaker 1: cells and then into red blood cells in the blood stream. 216 00:12:22,960 --> 00:12:26,240 Speaker 1: So um, not even close. They tried with They tried 217 00:12:26,280 --> 00:12:28,400 Speaker 1: with cow, they try with goat, and then eventually they 218 00:12:28,400 --> 00:12:31,240 Speaker 1: try with human milk. And they were doing like massive 219 00:12:31,280 --> 00:12:34,559 Speaker 1: doses and stuff like twelve ounces a beer bottles worth 220 00:12:34,600 --> 00:12:38,400 Speaker 1: of goat milk injected directly into the human blood stream, 221 00:12:38,640 --> 00:12:42,560 Speaker 1: and the results were really really bad. Um. One patient 222 00:12:42,640 --> 00:12:48,120 Speaker 1: suddenly experienced unstagamous, which is uncontrollable like eye movements and 223 00:12:48,280 --> 00:12:54,360 Speaker 1: vertigo and spasms like immediately upon injected. And they're still 224 00:12:54,480 --> 00:12:57,960 Speaker 1: they're they're giving more injections. Some of them were like, Okay, 225 00:12:57,960 --> 00:13:01,640 Speaker 1: this is gonna work too much, right, So people were 226 00:13:01,679 --> 00:13:05,160 Speaker 1: slipping into comas and dying, and finally everyone was like, 227 00:13:05,600 --> 00:13:08,440 Speaker 1: this is wrong, this is not good. Let's stop doing this, 228 00:13:08,760 --> 00:13:12,240 Speaker 1: and they started using sailing. Yeah. You know who also 229 00:13:12,360 --> 00:13:17,440 Speaker 1: used injected milk, oh, Michael Jackson. That was a totally 230 00:13:17,440 --> 00:13:19,600 Speaker 1: different kind of milk based right, what's the name of 231 00:13:19,600 --> 00:13:22,880 Speaker 1: that stuff? We never get it right, but I think 232 00:13:22,880 --> 00:13:25,640 Speaker 1: it is prop think you just got it right, man, 233 00:13:25,840 --> 00:13:28,319 Speaker 1: So sad one. And it is a little side note. 234 00:13:28,360 --> 00:13:30,680 Speaker 1: One of the patients was given milk and then does 235 00:13:30,760 --> 00:13:34,439 Speaker 1: support that injection. They were injected with morphine and then whiskey. 236 00:13:34,480 --> 00:13:37,000 Speaker 1: So they're just basically putting anything they wanted to into 237 00:13:37,000 --> 00:13:40,320 Speaker 1: the blood streams of people back then. That's crazy. So 238 00:13:40,640 --> 00:13:43,280 Speaker 1: the point is this, Chuck, There was a little sidetrack. 239 00:13:43,800 --> 00:13:46,600 Speaker 1: And the reason there was a sidetrack is because still 240 00:13:46,640 --> 00:13:51,520 Speaker 1: even after Blundell's experiments were successful in some cases, blood 241 00:13:51,559 --> 00:13:55,559 Speaker 1: transmissions still had a really bad name. Yeah. Um, they 242 00:13:55,559 --> 00:13:57,640 Speaker 1: started to kind of figure it out a little bit though, 243 00:13:58,000 --> 00:14:01,160 Speaker 1: uh in at least what the problem him was when 244 00:14:01,160 --> 00:14:05,000 Speaker 1: they started to mix blood from different people together in 245 00:14:05,120 --> 00:14:08,600 Speaker 1: test tubes and they saw clumping, they saw red blood 246 00:14:08,640 --> 00:14:12,480 Speaker 1: cell sticking together, and said, you know what, um, the 247 00:14:12,520 --> 00:14:14,520 Speaker 1: reason why this is happening is because these are all 248 00:14:14,559 --> 00:14:17,680 Speaker 1: from sick people. That was their explanation at first, Like, 249 00:14:17,679 --> 00:14:19,680 Speaker 1: we got a bunch of sick blood, we're mixing it 250 00:14:19,680 --> 00:14:21,360 Speaker 1: with sick blood, so that's why it's doing all these 251 00:14:21,360 --> 00:14:26,000 Speaker 1: funky things. And it wasn't until the Landstoner came around 252 00:14:26,840 --> 00:14:29,600 Speaker 1: and said, you know what, maybe I should try to 253 00:14:29,640 --> 00:14:32,680 Speaker 1: mix the blood of healthy people together and see what happens. Yeah, 254 00:14:32,720 --> 00:14:36,000 Speaker 1: see if that landmark idea? Yeah, because I mean they 255 00:14:36,080 --> 00:14:38,840 Speaker 1: knew that blood clumped, that's one of the reasons they 256 00:14:38,880 --> 00:14:41,920 Speaker 1: went to milk, but they just thought it was because well, 257 00:14:41,920 --> 00:14:44,040 Speaker 1: you're stick already, there's nothing that could be done about that. 258 00:14:44,120 --> 00:14:46,480 Speaker 1: But yeah, when Landsteiner came along and thought that it 259 00:14:46,560 --> 00:14:49,920 Speaker 1: was groundbreaking, and he did it with his own blood 260 00:14:50,280 --> 00:14:52,600 Speaker 1: and with the blood of some of his lab assistants, 261 00:14:52,680 --> 00:14:54,800 Speaker 1: and he just started taking blood samples and then just 262 00:14:54,920 --> 00:14:58,160 Speaker 1: randomly mixing together people's blood to see if it clumped, 263 00:14:58,800 --> 00:15:03,640 Speaker 1: and when it didn't clump, he started mapping his patterns 264 00:15:03,720 --> 00:15:07,000 Speaker 1: and ultimately came up with what's now known as the 265 00:15:07,080 --> 00:15:10,520 Speaker 1: A B O blood typing group. Although initially he came 266 00:15:10,600 --> 00:15:14,080 Speaker 1: up with type A, type B, and type C. Yeah, 267 00:15:14,160 --> 00:15:17,080 Speaker 1: and then later on we found out about A B, right, 268 00:15:17,160 --> 00:15:19,880 Speaker 1: and C was changed to Oh yeah, but it was. 269 00:15:20,920 --> 00:15:23,600 Speaker 1: I mean, it's pretty crazy that he could even I mean, 270 00:15:23,640 --> 00:15:27,080 Speaker 1: he separated his plasma from his red blood cells. It's 271 00:15:27,120 --> 00:15:28,920 Speaker 1: it's nuts that he was even able to do that. 272 00:15:29,000 --> 00:15:31,480 Speaker 1: Back then, I didn't know things with that advance. Oh, 273 00:15:31,520 --> 00:15:33,800 Speaker 1: you just inject some morphine and whiskey into your blood 274 00:15:33,840 --> 00:15:36,600 Speaker 1: and man, it just kind of falls to the side. Uh. 275 00:15:36,680 --> 00:15:39,360 Speaker 1: Plasma by the way, you hear that word a lot. 276 00:15:39,360 --> 00:15:41,240 Speaker 1: You may not know what it is. It's just mostly water. 277 00:15:41,280 --> 00:15:44,240 Speaker 1: It's the liquid portion of your blood. That's what it's 278 00:15:44,280 --> 00:15:47,360 Speaker 1: the taxicab. Basically, it carries everything around. It carries the 279 00:15:47,360 --> 00:15:51,320 Speaker 1: red blood cells, among other things, hormones, waste, nutrients, all 280 00:15:51,320 --> 00:15:54,200 Speaker 1: sorts of stuff. So this is like a really really 281 00:15:54,560 --> 00:15:57,800 Speaker 1: really big advancement in medical science. Yeah, but what did 282 00:15:57,800 --> 00:16:00,800 Speaker 1: he say? Oh, he had a great quote. Is my favorite, 283 00:16:00,800 --> 00:16:03,440 Speaker 1: Like this landmark discovery and He's kind of like, well, 284 00:16:03,480 --> 00:16:05,440 Speaker 1: you might just want to look at this, he goes 285 00:16:05,840 --> 00:16:08,840 Speaker 1: it might be mentioned that the reported observations may assist 286 00:16:08,920 --> 00:16:12,880 Speaker 1: in the explanation of various consequences of therapeutic blood transfusions. 287 00:16:13,480 --> 00:16:17,600 Speaker 1: Like it's possible that this is what's been killing people 288 00:16:17,640 --> 00:16:20,640 Speaker 1: all the time. There's blood types. I don't know his 289 00:16:20,720 --> 00:16:22,280 Speaker 1: personality though, so I don't know how to read that. 290 00:16:22,840 --> 00:16:25,520 Speaker 1: It sounds a little smarmy. I I took it as 291 00:16:25,560 --> 00:16:29,160 Speaker 1: he was being very humble. Oh that's how I took it. 292 00:16:29,240 --> 00:16:33,920 Speaker 1: That's because you're a positive that's right. But what this 293 00:16:33,960 --> 00:16:37,960 Speaker 1: did was um millions of millions and millions, I mean, 294 00:16:38,000 --> 00:16:41,560 Speaker 1: I opened the door for everything to come when it 295 00:16:41,560 --> 00:16:44,600 Speaker 1: comes to blood typing. And after this break, we're going 296 00:16:44,640 --> 00:16:47,840 Speaker 1: to get a little bit into what these blood types aren't, 297 00:16:47,880 --> 00:17:06,480 Speaker 1: what they mean. All right, we're back and we are 298 00:17:06,520 --> 00:17:09,720 Speaker 1: talking about blood types and what this means. And it's 299 00:17:09,720 --> 00:17:14,320 Speaker 1: really pretty simple. It is. It's elegant on your red 300 00:17:14,359 --> 00:17:17,440 Speaker 1: blood cells. Um you have you can have lots of things, 301 00:17:17,520 --> 00:17:22,040 Speaker 1: but you can have sugars and proteins, and those sugars 302 00:17:22,040 --> 00:17:27,440 Speaker 1: and proteins can be expressed as antigens and antigens are 303 00:17:27,560 --> 00:17:30,320 Speaker 1: something that your immune system says, Hey, you got a 304 00:17:30,320 --> 00:17:33,520 Speaker 1: foreign invader coming, you might want to do something about it. Right, 305 00:17:33,600 --> 00:17:37,119 Speaker 1: It's something that you're a body can take as a 306 00:17:37,119 --> 00:17:39,639 Speaker 1: foreign invader, even if it's not a foreign invader, or 307 00:17:39,720 --> 00:17:42,560 Speaker 1: even if it's not harmful, But it's something that's found 308 00:17:42,560 --> 00:17:44,960 Speaker 1: on the surface of your red blood cells. Like pollen 309 00:17:45,040 --> 00:17:48,040 Speaker 1: is an anergen. We talked about that in the Allergy podcast. 310 00:17:48,920 --> 00:17:53,280 Speaker 1: So a blood type at its core is just a 311 00:17:53,320 --> 00:17:56,040 Speaker 1: description of what kind of anergen is found on the 312 00:17:56,080 --> 00:17:58,359 Speaker 1: surface of your red blood cells, right, which is just 313 00:17:58,400 --> 00:18:01,200 Speaker 1: a sugar or a protein, right, Penny. So if you're 314 00:18:01,840 --> 00:18:04,880 Speaker 1: if you have A type blood, you have the A 315 00:18:04,880 --> 00:18:08,280 Speaker 1: antigen present on your cells. If you have B type blood, 316 00:18:08,320 --> 00:18:10,960 Speaker 1: you have the B antigen. If you have O type blood, 317 00:18:11,080 --> 00:18:13,840 Speaker 1: you have neither A nor B. And then if you 318 00:18:13,840 --> 00:18:16,639 Speaker 1: have a B you have both A and B antigens 319 00:18:16,680 --> 00:18:20,480 Speaker 1: present on on the surface of your blood. Sounds pretty simple. 320 00:18:20,960 --> 00:18:25,320 Speaker 1: There's no real issues here except that blood types are 321 00:18:25,359 --> 00:18:29,679 Speaker 1: also associated with the type of antibody your blood produces 322 00:18:29,720 --> 00:18:32,200 Speaker 1: your body produces, right, that's right, And that's a protein 323 00:18:32,280 --> 00:18:36,959 Speaker 1: that your immune system uses to attack antign invader or 324 00:18:37,000 --> 00:18:40,199 Speaker 1: what it thinks is a foreign invader. So, if you 325 00:18:40,240 --> 00:18:44,920 Speaker 1: have type A blood, your body produces B antibodies, which 326 00:18:44,960 --> 00:18:48,600 Speaker 1: means that when your body comes in contact with type 327 00:18:48,640 --> 00:18:53,040 Speaker 1: BED antigens, which would be found on type B blood cells, right, 328 00:18:53,160 --> 00:18:55,639 Speaker 1: your body goes crazy and launches an immune response and 329 00:18:55,680 --> 00:18:59,960 Speaker 1: attacks those antigens, which is in the other way around 330 00:19:00,000 --> 00:19:01,840 Speaker 1: in that case with A and B. Yeah, they don't 331 00:19:01,880 --> 00:19:03,920 Speaker 1: like each other, No, they don't. So not only do 332 00:19:04,000 --> 00:19:06,520 Speaker 1: they have opposing and egens, they have opposing antibody. So 333 00:19:06,600 --> 00:19:08,880 Speaker 1: if you make say and B blood together, bad bad 334 00:19:08,920 --> 00:19:11,199 Speaker 1: things are going to happen. Yeah. And you know what, 335 00:19:11,240 --> 00:19:14,320 Speaker 1: you can also be allergic to your own blood, which 336 00:19:14,400 --> 00:19:17,520 Speaker 1: is not good. When we talked about mistaken identity, Uh, 337 00:19:17,560 --> 00:19:23,040 Speaker 1: that is something called hemolytic anemia and um immune hemolytic anemia, 338 00:19:23,040 --> 00:19:26,680 Speaker 1: and that's it sounds immediately like I thought, well, you're 339 00:19:26,720 --> 00:19:29,439 Speaker 1: dead if you've got that because your blood is allergic 340 00:19:29,480 --> 00:19:32,040 Speaker 1: to itself. Yeah, apparently people live with it are able 341 00:19:32,080 --> 00:19:35,159 Speaker 1: to almost everyone does. It's really rare to lead to 342 00:19:35,200 --> 00:19:38,120 Speaker 1: death these days. UM. I did look it up though, 343 00:19:38,119 --> 00:19:41,359 Speaker 1: and the first symptom it listed was feeling grumpy, which 344 00:19:41,359 --> 00:19:43,959 Speaker 1: I thought was like, well, perhaps we all have it 345 00:19:44,359 --> 00:19:49,240 Speaker 1: or he or has immune anemia. Um. So, like we said, 346 00:19:49,280 --> 00:19:52,400 Speaker 1: A and B do not like each other at all. 347 00:19:52,880 --> 00:19:54,720 Speaker 1: I think you said they're like the hat Fields and 348 00:19:54,760 --> 00:19:57,320 Speaker 1: the McCoys of blood types. Yeah, I mean they're in 349 00:19:57,359 --> 00:20:00,960 Speaker 1: a complete opposition to one another. That's right. Type OH 350 00:20:01,000 --> 00:20:06,440 Speaker 1: though is different so TYPO everybody it does. It doesn't 351 00:20:06,480 --> 00:20:09,760 Speaker 1: have any anigens on it on the blood cell surface. 352 00:20:10,160 --> 00:20:13,280 Speaker 1: So as far as blood transfusions go, you could take 353 00:20:13,320 --> 00:20:16,280 Speaker 1: TYPO and give it to type B people, Type A 354 00:20:16,440 --> 00:20:20,320 Speaker 1: people and TYPO people and even type A B people, 355 00:20:20,600 --> 00:20:25,480 Speaker 1: which makes type O the universal donor, right, oh negative specifically, 356 00:20:25,600 --> 00:20:28,760 Speaker 1: But that sounds all great and it is. But because 357 00:20:28,760 --> 00:20:32,600 Speaker 1: it doesn't have anigen's, it uh produces anybody's against A 358 00:20:32,720 --> 00:20:37,479 Speaker 1: and B antigens I'm sorry, antibodies against and B anogens, okay, 359 00:20:37,560 --> 00:20:41,720 Speaker 1: which means it can only accept oh transfusions, Yeah, which 360 00:20:41,720 --> 00:20:44,960 Speaker 1: is said because it's they're the universal donor, they can give, 361 00:20:45,440 --> 00:20:47,840 Speaker 1: but they can't. They can only get from other oaths 362 00:20:48,320 --> 00:20:52,240 Speaker 1: because they have antibodies against everything. But ohs right, A 363 00:20:52,440 --> 00:20:58,040 Speaker 1: B is the opposite of Oh. They're actually the universal recipient, right. 364 00:20:58,200 --> 00:21:01,320 Speaker 1: They have the A and B antigen on the surface 365 00:21:01,320 --> 00:21:04,480 Speaker 1: of the red blood cells. But like you said, they 366 00:21:04,520 --> 00:21:07,000 Speaker 1: are the universal recipient, so that's great. They don't have 367 00:21:07,040 --> 00:21:11,320 Speaker 1: any anybody's at all. So they can they can take 368 00:21:11,359 --> 00:21:14,560 Speaker 1: A they can be they can take oh, but they 369 00:21:14,640 --> 00:21:20,000 Speaker 1: have the antigens A and B, so A B or 370 00:21:20,080 --> 00:21:23,520 Speaker 1: OH can't take a B blood, so they just take 371 00:21:23,560 --> 00:21:26,200 Speaker 1: take take to recap. I'm sure I have a B blood. 372 00:21:26,400 --> 00:21:29,800 Speaker 1: I'm positive of it, you think, yeah, to recap. There's 373 00:21:29,800 --> 00:21:32,080 Speaker 1: a handy little chart here which we do not have. 374 00:21:32,920 --> 00:21:36,000 Speaker 1: Um no, but it's from the American Red Cross. Webon 375 00:21:36,119 --> 00:21:38,760 Speaker 1: like I think everyone that works at the Red Cross 376 00:21:38,760 --> 00:21:41,000 Speaker 1: probably has is printed out, like in their wallet. I'm 377 00:21:41,359 --> 00:21:45,040 Speaker 1: so everyone who's listening to this in the Red Cross 378 00:21:45,440 --> 00:21:48,520 Speaker 1: share it with somebody. Group OH, though can donate red 379 00:21:48,520 --> 00:21:51,840 Speaker 1: blood cells to anybody. Group A can donate red blood 380 00:21:51,880 --> 00:21:54,440 Speaker 1: cells to ais and a B S. Group B can 381 00:21:54,480 --> 00:21:57,480 Speaker 1: donate red blood cells to bees and a bees in 382 00:21:57,560 --> 00:22:00,159 Speaker 1: Group A B can donate to other A B is 383 00:22:00,680 --> 00:22:04,360 Speaker 1: but can receive it from all others. Take take take 384 00:22:04,640 --> 00:22:08,040 Speaker 1: pretty neat um, So there you go. That's the type 385 00:22:08,040 --> 00:22:10,639 Speaker 1: A BO blood type and it's pretty. It was a 386 00:22:10,720 --> 00:22:14,119 Speaker 1: sweeping discovery and that's it, right. No, more about blood types. No, 387 00:22:14,280 --> 00:22:17,480 Speaker 1: this is the end, beautiful friend, it is not the end. 388 00:22:18,359 --> 00:22:20,760 Speaker 1: Uh No, because it turns out the A, B O 389 00:22:20,800 --> 00:22:24,560 Speaker 1: blood typing or blood groups are really one of many 390 00:22:24,200 --> 00:22:27,240 Speaker 1: twenty two we're up to by now. Yeah. Remember earlier 391 00:22:27,280 --> 00:22:31,720 Speaker 1: I was talking about UM positive or negative. Well that too, 392 00:22:31,800 --> 00:22:35,600 Speaker 1: but I was talking about the dog tags. Yeah, I 393 00:22:35,640 --> 00:22:40,280 Speaker 1: was talking about that, sugars, booms, sugars. Yes, Sugars and 394 00:22:40,320 --> 00:22:42,840 Speaker 1: proteins are the two different antigens that you can have 395 00:22:42,880 --> 00:22:45,000 Speaker 1: on your red blood cells. We said that the A, B, 396 00:22:45,200 --> 00:22:49,960 Speaker 1: O U grouping are the sugars, so that leaves the proteins, 397 00:22:50,000 --> 00:22:52,840 Speaker 1: and that's where you get into the r h uh 398 00:22:52,880 --> 00:22:55,320 Speaker 1: If you've ever heard your blood as negative or positive. 399 00:22:55,840 --> 00:22:58,359 Speaker 1: That was named after the Reesus monkey spelled r H 400 00:22:58,440 --> 00:23:01,720 Speaker 1: E s U s, which they were obviously the test subjects. 401 00:23:02,200 --> 00:23:04,960 Speaker 1: It basically just says, if you're positive for that protein 402 00:23:05,080 --> 00:23:07,480 Speaker 1: or negative for that protein. Yeah, it's just it's another 403 00:23:07,520 --> 00:23:10,240 Speaker 1: anogen and either you have it or you don't, so 404 00:23:10,359 --> 00:23:13,320 Speaker 1: you can be oh negative, oh positive. So that would 405 00:23:13,320 --> 00:23:16,200 Speaker 1: mean that you are in the O type blood group, 406 00:23:16,359 --> 00:23:19,600 Speaker 1: so you have sugar anogens on or you know, you 407 00:23:19,640 --> 00:23:22,600 Speaker 1: don't have A or B on your blood cell surface. 408 00:23:23,119 --> 00:23:26,000 Speaker 1: But if you're positive, you would have neither A or 409 00:23:26,040 --> 00:23:28,440 Speaker 1: B on your surface, but you would have the recess 410 00:23:28,480 --> 00:23:31,240 Speaker 1: anogen on there. Right, And just like the A, B 411 00:23:31,359 --> 00:23:34,119 Speaker 1: O types, the r H types don't mix either. Know. 412 00:23:34,160 --> 00:23:36,720 Speaker 1: As a matter of fact, there's a really terrible condition 413 00:23:36,760 --> 00:23:42,560 Speaker 1: called mother fetus incompatibility, which the means the mother is 414 00:23:42,720 --> 00:23:47,000 Speaker 1: RH negative and the baby is RH positive. So as 415 00:23:47,040 --> 00:23:49,800 Speaker 1: the baby is developing, it's blood cells that carry the 416 00:23:49,960 --> 00:23:53,439 Speaker 1: r H anogen are taken as foreign invaders by the 417 00:23:53,440 --> 00:23:56,919 Speaker 1: mother's blood, so the baby, the fetus is attacked by 418 00:23:56,960 --> 00:23:59,600 Speaker 1: the mother's immune system. Not a good position for a 419 00:23:59,600 --> 00:24:04,359 Speaker 1: fetus to begin. But this is also very treatable these days. Yeah, 420 00:24:04,359 --> 00:24:05,920 Speaker 1: I got the impression. Yeah, I looked into what it 421 00:24:06,040 --> 00:24:09,120 Speaker 1: used to be a really scary thing, obviously, but now 422 00:24:09,800 --> 00:24:11,040 Speaker 1: they know how to treat it. And I think on 423 00:24:11,119 --> 00:24:14,280 Speaker 1: the first your firstborn, it's not really a big deal 424 00:24:14,320 --> 00:24:17,080 Speaker 1: at all. Oh yeah, and the reason why because the 425 00:24:17,080 --> 00:24:20,240 Speaker 1: blood is not mixing right right. Well, No, that first exposure, 426 00:24:20,280 --> 00:24:21,760 Speaker 1: your body is like, what the heck is this? It 427 00:24:21,800 --> 00:24:24,479 Speaker 1: gets caught off guard. Second one, it's kind of like, 428 00:24:24,880 --> 00:24:28,280 Speaker 1: fool me once, Shame on you, fool me twice, I'm 429 00:24:28,320 --> 00:24:30,840 Speaker 1: gonna get you, and it goes after the fetus and 430 00:24:30,880 --> 00:24:33,320 Speaker 1: then it just gets this immune response gets more and 431 00:24:33,400 --> 00:24:38,680 Speaker 1: more heightened with each pregnancy. I'm almost positive that's the case. 432 00:24:38,880 --> 00:24:41,680 Speaker 1: I ran across it during UM during research for this, 433 00:24:42,080 --> 00:24:45,639 Speaker 1: and if I'm not mistaken, that's what happens. Okay. Well, 434 00:24:45,760 --> 00:24:50,720 Speaker 1: I know roughly of the population is r H positive, 435 00:24:51,240 --> 00:24:53,679 Speaker 1: so you have much more likelihood to be RH positive 436 00:24:53,680 --> 00:24:58,879 Speaker 1: than negative. Okay in life, huh, I know that I 437 00:24:58,880 --> 00:25:03,240 Speaker 1: would have guessed negative I would be more common. I 438 00:25:03,320 --> 00:25:05,920 Speaker 1: don't know. I just guess that you need to improve 439 00:25:05,960 --> 00:25:10,560 Speaker 1: your outlook my friends. UM. So, the r H blood groups, 440 00:25:10,600 --> 00:25:13,040 Speaker 1: the A, B O blood groups. There two of UM 441 00:25:13,080 --> 00:25:16,520 Speaker 1: I think twenty two at least total blood groups that 442 00:25:16,560 --> 00:25:20,640 Speaker 1: have been identified. There's other ones like Diego, kid, kill, 443 00:25:21,119 --> 00:25:25,679 Speaker 1: Duffy blood groups, and all of them are descriptors of 444 00:25:25,760 --> 00:25:27,919 Speaker 1: anergens that can be found on the surface of a 445 00:25:27,960 --> 00:25:31,280 Speaker 1: person's red blood cells. So your blood type can go 446 00:25:31,359 --> 00:25:36,200 Speaker 1: far beyond a positive or OH negative. It can be 447 00:25:36,240 --> 00:25:43,840 Speaker 1: like a negative Duffy positive kill UM to the third power. 448 00:25:44,840 --> 00:25:50,040 Speaker 1: Who knows why not, But it's just basically the presence 449 00:25:50,480 --> 00:25:53,440 Speaker 1: or the absence of these different anigens and these combinations 450 00:25:53,480 --> 00:25:57,280 Speaker 1: can form the thing is we now know and Landsteiner 451 00:25:57,359 --> 00:25:59,920 Speaker 1: figured it out early on, but didn't didn't discover that 452 00:26:00,040 --> 00:26:03,240 Speaker 1: actual mechanism. But we know that each one is is 453 00:26:03,359 --> 00:26:06,960 Speaker 1: controlled by a different gene or a mutation on a 454 00:26:07,000 --> 00:26:10,119 Speaker 1: specific gene. And like I said, Landsteiner kind of figured 455 00:26:10,119 --> 00:26:12,080 Speaker 1: it out early on that it was heritable, that blood 456 00:26:12,080 --> 00:26:15,160 Speaker 1: types are heritable, and as a result blood typing where 457 00:26:15,160 --> 00:26:17,760 Speaker 1: it was used in early paternity tests, like almost from 458 00:26:17,800 --> 00:26:21,800 Speaker 1: the outset of Landsteiner's research. Um. The other thing that 459 00:26:21,880 --> 00:26:25,560 Speaker 1: they found out was that you can also be a 460 00:26:25,880 --> 00:26:29,119 Speaker 1: that sounds a little gross, a secretor or a non secretor, 461 00:26:30,280 --> 00:26:33,600 Speaker 1: which means that if you're a secretor, your antigens can 462 00:26:33,640 --> 00:26:36,879 Speaker 1: be secreted into other fluids like saliba or mucus in 463 00:26:36,880 --> 00:26:40,960 Speaker 1: your body toward off other infections, usually at the surface 464 00:26:40,960 --> 00:26:44,960 Speaker 1: of the skin. Yeah, so you're I think are secretors 465 00:26:44,960 --> 00:26:50,120 Speaker 1: in the United States And that's just another subclassification even 466 00:26:50,800 --> 00:26:56,240 Speaker 1: to rule people out. Um quickly, you're a secretor non secretor. Yeah, 467 00:26:57,359 --> 00:27:01,680 Speaker 1: ah lois a secretor got us a great idea. He's 468 00:27:01,720 --> 00:27:04,680 Speaker 1: secreting all over the place. Um. So like you said, 469 00:27:04,760 --> 00:27:09,240 Speaker 1: land Uh, the Landstoner determined that you could test maternity 470 00:27:09,400 --> 00:27:12,640 Speaker 1: and because of that in the ninet nineties, that led 471 00:27:12,680 --> 00:27:16,800 Speaker 1: to the discovery of that A B O gene. And basically, 472 00:27:16,880 --> 00:27:20,400 Speaker 1: if you can have that A antigen be expressed, or 473 00:27:20,960 --> 00:27:22,679 Speaker 1: if something is a little tweaked, you can have that 474 00:27:22,720 --> 00:27:26,480 Speaker 1: B antrogen expressed, right, or if they're both tweaked, you 475 00:27:26,520 --> 00:27:31,359 Speaker 1: can have both A B I think in that case 476 00:27:31,400 --> 00:27:34,280 Speaker 1: you inherit the A mutation from one parent and the 477 00:27:34,280 --> 00:27:36,879 Speaker 1: G mutation from another parent. Yeah, did you say G 478 00:27:38,640 --> 00:27:41,520 Speaker 1: B the gene there's another blood type, the A G. 479 00:27:41,760 --> 00:27:43,800 Speaker 1: I just came up with it. Uh. And then if 480 00:27:43,840 --> 00:27:46,359 Speaker 1: it's completely shut off, then that is where you get 481 00:27:46,400 --> 00:27:49,520 Speaker 1: your OH blood type. Right. But we have to point out, um, 482 00:27:49,680 --> 00:27:53,800 Speaker 1: that the A B O blood type isn't like the 483 00:27:53,840 --> 00:27:56,240 Speaker 1: A is the presence of a egine. B is the 484 00:27:56,240 --> 00:27:58,639 Speaker 1: presence of an engine, and OH is the presence of nothing. 485 00:27:59,200 --> 00:28:02,000 Speaker 1: It's not the case. Um Again. Carl Zimmer in that 486 00:28:02,040 --> 00:28:07,159 Speaker 1: mosaic article put it like, if the A antigen is 487 00:28:07,200 --> 00:28:10,879 Speaker 1: like a two story home in one former fashion, and 488 00:28:10,920 --> 00:28:13,040 Speaker 1: the B antigen is like a different type of two 489 00:28:13,040 --> 00:28:16,760 Speaker 1: story home, the OH is like the single story ranch 490 00:28:17,320 --> 00:28:20,440 Speaker 1: that the second stories are built on top mid century modern. Yeah, 491 00:28:20,640 --> 00:28:25,040 Speaker 1: to love. It's my preference in houses. I like those two. Um, 492 00:28:25,080 --> 00:28:28,000 Speaker 1: I wonder what I wonder what blood type the double 493 00:28:28,000 --> 00:28:30,879 Speaker 1: wide trailer is. I don't know. It's a single story, 494 00:28:30,960 --> 00:28:34,000 Speaker 1: so technically would be oh as well, there's secretors for sure. 495 00:28:34,240 --> 00:28:37,560 Speaker 1: So Chuck, um we talked. You said that RH positive 496 00:28:37,600 --> 00:28:40,360 Speaker 1: was the most common for the r H blood type. Right, 497 00:28:40,400 --> 00:28:44,160 Speaker 1: that's right. What's the most common for A B O types? Uh? Well, 498 00:28:44,200 --> 00:28:46,640 Speaker 1: you've got OH is the most OH positive is the 499 00:28:46,640 --> 00:28:50,000 Speaker 1: most common H. Then you've got A, then you've got B. 500 00:28:50,520 --> 00:28:53,680 Speaker 1: Then you've got a B as the least common, and um. 501 00:28:54,200 --> 00:28:58,719 Speaker 1: Across ethnic groups, it's uh, it's pretty interesting. Hispanic folks 502 00:28:59,120 --> 00:29:02,760 Speaker 1: have higher number of os. Asian folks have a higher 503 00:29:03,000 --> 00:29:06,440 Speaker 1: higher number of bees. And there's reasons for this, which 504 00:29:06,480 --> 00:29:10,120 Speaker 1: we'll get into later. They're pretty interesting, I think. So, um, 505 00:29:10,120 --> 00:29:12,840 Speaker 1: all the teaser we should say with when you do 506 00:29:13,080 --> 00:29:15,320 Speaker 1: we've kind of touched on what happens when you mix blood, 507 00:29:15,480 --> 00:29:20,000 Speaker 1: remember the chimney sit urine um. But the real on 508 00:29:20,080 --> 00:29:23,040 Speaker 1: the molecular level, on the cellular level, what's going on 509 00:29:23,120 --> 00:29:27,479 Speaker 1: when you mix blood types is that the antigens present 510 00:29:28,040 --> 00:29:30,680 Speaker 1: in one blood type that doesn't mix with another one 511 00:29:31,040 --> 00:29:35,200 Speaker 1: attracts the antibodies. Yeah, because it thinks it's some foreign invader. Yep. 512 00:29:35,360 --> 00:29:38,000 Speaker 1: So it's like the troops. You're coming into a house 513 00:29:38,040 --> 00:29:41,200 Speaker 1: that has anybodies that are primed against the engines on 514 00:29:41,280 --> 00:29:45,200 Speaker 1: your blood right right, and um, those anergens or those 515 00:29:45,240 --> 00:29:49,320 Speaker 1: antibodies surround the anergens and just kind of collect and 516 00:29:49,360 --> 00:29:53,200 Speaker 1: clump around the red blood cells. That's a glutination. Yeah. 517 00:29:53,240 --> 00:29:56,080 Speaker 1: That Uh, that just sounded gross to me. It does. 518 00:29:56,120 --> 00:29:58,120 Speaker 1: It's a gross word. I think medical. I think I 519 00:29:58,200 --> 00:30:03,000 Speaker 1: figured out medical terms that have gs and them and glug. Yeah, 520 00:30:03,040 --> 00:30:05,960 Speaker 1: it just sounds kind of gross because what happens after 521 00:30:06,120 --> 00:30:12,560 Speaker 1: a glutination is it coagulates. Yeah, and that thickened blood 522 00:30:12,680 --> 00:30:15,840 Speaker 1: is tough to pump through your body. It's pretty simple, really. 523 00:30:16,000 --> 00:30:19,840 Speaker 1: You give blood clots everywhere and you have trouble breathing, 524 00:30:20,080 --> 00:30:22,959 Speaker 1: your lungs filled with blood and you drown in it. 525 00:30:23,120 --> 00:30:26,880 Speaker 1: And again you're if if you're injected with cow milk, 526 00:30:27,840 --> 00:30:29,880 Speaker 1: your eyes go crazy and you spas them in some 527 00:30:30,120 --> 00:30:32,959 Speaker 1: new coma and die. But if not, you're just gonna 528 00:30:33,120 --> 00:30:36,160 Speaker 1: drown in your own turnal bleeding in your lungs. But 529 00:30:36,240 --> 00:30:39,600 Speaker 1: what's going on is the result of a massive immune 530 00:30:39,640 --> 00:30:42,560 Speaker 1: response launched by your body because of the presence of 531 00:30:42,560 --> 00:30:44,880 Speaker 1: what it takes as a foreign invader. If you take 532 00:30:44,960 --> 00:30:48,520 Speaker 1: the blood of somebody with the same blood type as yours, 533 00:30:48,920 --> 00:30:52,480 Speaker 1: even though it comes from another person, entirely your blood 534 00:30:52,680 --> 00:30:55,600 Speaker 1: is used to the antigen present on that blood type 535 00:30:55,680 --> 00:30:58,080 Speaker 1: because that's the one that produces itself, and it just 536 00:30:58,120 --> 00:31:01,280 Speaker 1: thinks it's more of the same blood that it produced 537 00:31:02,240 --> 00:31:06,160 Speaker 1: in your body. That's right, So this is all super interesting. 538 00:31:06,560 --> 00:31:08,800 Speaker 1: Uh I guess after this break we're going to talk 539 00:31:08,840 --> 00:31:12,440 Speaker 1: a little bit about why we have blood types and 540 00:31:12,480 --> 00:31:30,640 Speaker 1: where they came from to begin with. Al Right, before 541 00:31:30,680 --> 00:31:34,920 Speaker 1: the break, my friend, we were talking about what are 542 00:31:34,960 --> 00:31:40,640 Speaker 1: blood types come from? It's true, that was the title 543 00:31:40,680 --> 00:31:43,040 Speaker 1: of the segment. Well, I had no I don't even 544 00:31:43,040 --> 00:31:45,360 Speaker 1: know what that accident was or who that was supposed 545 00:31:45,360 --> 00:31:47,680 Speaker 1: to be. It was the one group that you can 546 00:31:47,760 --> 00:31:50,960 Speaker 1: make fun of now, which is this non existent when 547 00:31:51,000 --> 00:31:54,080 Speaker 1: you just made the indefinable group thinking about that the 548 00:31:54,120 --> 00:31:56,600 Speaker 1: other day, is there anybody Germans you can make fun 549 00:31:56,640 --> 00:31:58,480 Speaker 1: of Germans? Still, right? And you can make fun of 550 00:31:58,480 --> 00:32:02,000 Speaker 1: white men? Oh yeah, because like the n asking for 551 00:32:02,120 --> 00:32:06,000 Speaker 1: it for millennia totally. Yeah, there's nothing you can say 552 00:32:06,040 --> 00:32:08,800 Speaker 1: to a white man that is, you know, truly offensive. 553 00:32:09,480 --> 00:32:12,200 Speaker 1: It's true. Yeah, I guess it is, sad man. This 554 00:32:12,360 --> 00:32:16,000 Speaker 1: just took a really surprising n I remember my sociology 555 00:32:16,000 --> 00:32:18,920 Speaker 1: teacher in college that taught as that. Yeah, because they 556 00:32:19,200 --> 00:32:21,200 Speaker 1: he was putting up bad words about different races and 557 00:32:21,240 --> 00:32:24,800 Speaker 1: ethnic groups and sexes. And he's like, you might notice something. 558 00:32:24,840 --> 00:32:26,840 Speaker 1: He's a there's no word that you can call a 559 00:32:26,840 --> 00:32:30,200 Speaker 1: white man that is truly truly offensive. And really there 560 00:32:30,240 --> 00:32:32,680 Speaker 1: really isn't. I mean, a d bag, I guess, but 561 00:32:32,720 --> 00:32:35,120 Speaker 1: that's not offensive. You're just either that or you're not. 562 00:32:35,480 --> 00:32:39,440 Speaker 1: It's the truth or it's not. All right, So let's 563 00:32:39,440 --> 00:32:43,320 Speaker 1: get back to blood types. Where did it come from? 564 00:32:43,440 --> 00:32:45,480 Speaker 1: I know who it is. It's Balky bar taka mos. 565 00:32:46,040 --> 00:32:49,920 Speaker 1: I can't make no. He was from an unknown country, right, yeah, yeah, 566 00:32:49,960 --> 00:32:54,480 Speaker 1: there you go. All right. So primate species, my friend, 567 00:32:55,240 --> 00:32:59,480 Speaker 1: we found out that primate species had blood that you 568 00:32:59,480 --> 00:33:03,440 Speaker 1: could make with human blood. It wasn't a cow, it 569 00:33:03,560 --> 00:33:08,360 Speaker 1: wasn't a sheep, but primates because they're closer relatives than 570 00:33:08,520 --> 00:33:11,120 Speaker 1: cows and sheeps does well, that's what that was the assumption, 571 00:33:11,160 --> 00:33:13,560 Speaker 1: but it's still scientists were kind of scratching their heads. 572 00:33:13,600 --> 00:33:15,240 Speaker 1: They're like, oh, wait a minute, and what are we 573 00:33:15,320 --> 00:33:18,200 Speaker 1: to make of this? Because it suggests two things. It 574 00:33:18,280 --> 00:33:22,160 Speaker 1: suggests that either blood types are so old that they 575 00:33:22,200 --> 00:33:28,480 Speaker 1: predate human and uh like chimps and girls, so we 576 00:33:28,480 --> 00:33:32,520 Speaker 1: we share some sort of common ancestor that have blood 577 00:33:32,520 --> 00:33:38,800 Speaker 1: types itself, or that blood types evolved independently in different species. 578 00:33:38,840 --> 00:33:43,360 Speaker 1: Because it's like such a great idea, right right, Either way, 579 00:33:43,680 --> 00:33:48,200 Speaker 1: they still said, well, what are these things for? Yeah, 580 00:33:48,240 --> 00:33:50,920 Speaker 1: And some people for a long time said that, oh, 581 00:33:51,160 --> 00:33:54,360 Speaker 1: was the original the O G blood type, Yeah, which 582 00:33:54,360 --> 00:33:56,760 Speaker 1: makes sense because it's the simplest one. Yeah. And they 583 00:33:56,760 --> 00:33:59,840 Speaker 1: thought that, you know, our original ancestors in Africa had type. 584 00:34:00,000 --> 00:34:02,640 Speaker 1: Other people thought A B might have been the original 585 00:34:02,680 --> 00:34:07,360 Speaker 1: because um it evolved into a B and O, which 586 00:34:07,440 --> 00:34:10,920 Speaker 1: that sort of makes sense to and one lens right 587 00:34:10,960 --> 00:34:14,680 Speaker 1: and then is broken down into its constituent. But neither 588 00:34:14,680 --> 00:34:17,359 Speaker 1: one of them, it turns out, are probably true. Right. Well, 589 00:34:17,520 --> 00:34:20,520 Speaker 1: we we honestly don't know. We just there's first of all, 590 00:34:20,600 --> 00:34:23,839 Speaker 1: not all of the primates genes have been surveyed, so 591 00:34:23,960 --> 00:34:26,120 Speaker 1: we can't really say, but they've looked into a lot 592 00:34:26,120 --> 00:34:29,040 Speaker 1: of them. They have UM and the results are still 593 00:34:29,080 --> 00:34:33,320 Speaker 1: just kind of baffling. Like guerrillas just have type by UM. 594 00:34:33,360 --> 00:34:36,840 Speaker 1: I think chimps have type A and O. But that's it. Uh. 595 00:34:37,000 --> 00:34:38,560 Speaker 1: We we don't quite know what to make of it. 596 00:34:38,600 --> 00:34:40,799 Speaker 1: We do know that it's not just primates that have 597 00:34:41,080 --> 00:34:45,279 Speaker 1: blood types. Cats and dogs both too. Yeah, and I 598 00:34:45,440 --> 00:34:47,919 Speaker 1: never thought about it that you can have your cat 599 00:34:48,040 --> 00:34:51,160 Speaker 1: or dog if you want to feel really good about yourself. Yeah, 600 00:34:51,280 --> 00:34:54,080 Speaker 1: but really piss off your animals. You can take them 601 00:34:54,080 --> 00:34:57,640 Speaker 1: in and have them give blood. Yeah, there's animal dog 602 00:34:57,719 --> 00:35:01,000 Speaker 1: like dog and cat blood banks. Yeah, there's one right here. Indicator. 603 00:35:01,160 --> 00:35:04,600 Speaker 1: Consult your vet. Huh yeah, consult your vet, piss off 604 00:35:04,600 --> 00:35:06,840 Speaker 1: your cat, take them in to give blood, and explain 605 00:35:06,880 --> 00:35:09,359 Speaker 1: to them what a great thing they're doing, right right, 606 00:35:09,880 --> 00:35:14,040 Speaker 1: Just wear like leather falconry gloves while you're doing it. 607 00:35:14,040 --> 00:35:15,520 Speaker 1: It is a great thing to do. But yeah, it 608 00:35:15,640 --> 00:35:17,640 Speaker 1: just never occurred to me. Of course, that's what you 609 00:35:17,680 --> 00:35:21,440 Speaker 1: need to do as a responsible pet owner, right, I 610 00:35:21,520 --> 00:35:25,360 Speaker 1: guess maybe start with donating your human blood first, and 611 00:35:25,400 --> 00:35:28,600 Speaker 1: then once you got that down, pat bring your dog 612 00:35:28,640 --> 00:35:30,279 Speaker 1: into the mix. Well, you have to go to a 613 00:35:30,320 --> 00:35:33,600 Speaker 1: special dog and cat blood bank. Yeah, can tell your vet. 614 00:35:34,160 --> 00:35:36,080 Speaker 1: And I think if I looked at a my all 615 00:35:36,120 --> 00:35:37,880 Speaker 1: mine are too old, which is sad. I think you 616 00:35:38,040 --> 00:35:41,480 Speaker 1: can't be over seven. Well at least did the one indicator. 617 00:35:41,520 --> 00:35:44,560 Speaker 1: Maybe there's different looking for spry blood, I guess. So, yeah, 618 00:35:44,680 --> 00:35:49,520 Speaker 1: it's very sad for me. My guys. Um, so here's 619 00:35:49,520 --> 00:35:52,640 Speaker 1: a neat thing, though, Josh. Blood types aren't even said 620 00:35:52,680 --> 00:35:55,520 Speaker 1: in stone necessarily they can change, and it's mind blowing 621 00:35:55,840 --> 00:35:59,000 Speaker 1: it is. And I found this really neat. Uh, well, 622 00:35:59,040 --> 00:36:01,080 Speaker 1: a couple of neat things. One is not only can 623 00:36:01,160 --> 00:36:04,279 Speaker 1: it change, We'll go and explain how it can change naturally. Well, 624 00:36:04,320 --> 00:36:08,080 Speaker 1: our old friend epigenetics, Um, what was that episode we did, 625 00:36:08,120 --> 00:36:11,080 Speaker 1: can your can my Grandfather's diet short in my Life? 626 00:36:10,920 --> 00:36:13,040 Speaker 1: One of our best? Yes, it was, And no one 627 00:36:13,080 --> 00:36:16,520 Speaker 1: has any ideas about epigenetics because of the title. But 628 00:36:16,600 --> 00:36:19,040 Speaker 1: if you are looking for an epigenetics episode, go listen 629 00:36:19,040 --> 00:36:22,000 Speaker 1: to that one. But basically, because of changes in the 630 00:36:22,040 --> 00:36:27,400 Speaker 1: way genes are expressed, if your say, a mutation on 631 00:36:27,520 --> 00:36:31,480 Speaker 1: your gene is shut down epigenetically, then all of a 632 00:36:31,520 --> 00:36:34,480 Speaker 1: sudden over time, because red blood cells have about a 633 00:36:34,520 --> 00:36:38,600 Speaker 1: four month life span and bloods is constantly regenerating itself. Um, 634 00:36:38,920 --> 00:36:42,279 Speaker 1: you will turn into an OH blood type person within 635 00:36:42,360 --> 00:36:45,960 Speaker 1: your lifetime. You may not even notice, and until you 636 00:36:45,960 --> 00:36:48,960 Speaker 1: get a blood transfer, then you're gonna notice. But I 637 00:36:48,800 --> 00:36:51,799 Speaker 1: imagine that are good friends at the Red Cross test 638 00:36:51,920 --> 00:36:55,040 Speaker 1: blood type that kind of thing with each donation and 639 00:36:55,160 --> 00:36:57,520 Speaker 1: just leave it to to presumption. I don't think we 640 00:36:57,600 --> 00:37:00,160 Speaker 1: even pointed out they to test this. They still is 641 00:37:00,160 --> 00:37:03,280 Speaker 1: a similar method of mixing blood and scene if it clumps, 642 00:37:03,880 --> 00:37:06,279 Speaker 1: the same thing that the Landstoner did way back in 643 00:37:06,320 --> 00:37:09,760 Speaker 1: the day. So I found another couple of cool things. Though, Um, 644 00:37:09,840 --> 00:37:11,600 Speaker 1: this is from two years ago and I couldn't get 645 00:37:11,600 --> 00:37:14,680 Speaker 1: anything more recent. I think it is still under review. 646 00:37:15,400 --> 00:37:20,239 Speaker 1: But they think now that they can actually not synthetically, 647 00:37:20,280 --> 00:37:24,560 Speaker 1: but just not naturally change your blood type two oh 648 00:37:25,520 --> 00:37:27,799 Speaker 1: to make you. And this would be great because if 649 00:37:27,800 --> 00:37:30,240 Speaker 1: you could change blood type and this is in the body, 650 00:37:30,280 --> 00:37:32,920 Speaker 1: this is in the blood bag, change it from a 651 00:37:33,040 --> 00:37:34,800 Speaker 1: B two oh, then that means, all of a sudden 652 00:37:34,840 --> 00:37:39,239 Speaker 1: you have a more valuable blood because it's more universally accepted. Uh. 653 00:37:39,239 --> 00:37:41,279 Speaker 1: And what they've done is um, of course it was 654 00:37:41,760 --> 00:37:45,600 Speaker 1: the University of Copenhagen Professor Einrich Calaussen. They're always doing 655 00:37:45,680 --> 00:37:49,480 Speaker 1: the best work, it seems like. Um. So they found 656 00:37:49,520 --> 00:37:54,319 Speaker 1: they studied different types of fungi and bacteria and found, uh, 657 00:37:54,360 --> 00:37:56,600 Speaker 1: they're looking for proteins that could help, and they found 658 00:37:56,960 --> 00:38:03,480 Speaker 1: two that could help. One was called Elizabeth Kenya men 659 00:38:03,560 --> 00:38:09,520 Speaker 1: in go specate them septicum. Nice. My guess is that 660 00:38:09,920 --> 00:38:13,400 Speaker 1: Professor Erorich either has a daughter or a wife named Elizabeth. Yeah, 661 00:38:13,480 --> 00:38:17,640 Speaker 1: who's like, I got a bacteria or he's in big trouble. Uh. 662 00:38:17,680 --> 00:38:22,680 Speaker 1: And then the other one is Bacteriosis fragilus and basically 663 00:38:22,680 --> 00:38:26,879 Speaker 1: those two yielded enzymes that remove those A and B antigens. Yeah, 664 00:38:26,920 --> 00:38:29,640 Speaker 1: they just sheered those sugars off. They go in and 665 00:38:29,680 --> 00:38:32,279 Speaker 1: made it the O type. So I don't know where 666 00:38:32,320 --> 00:38:34,960 Speaker 1: that's at now, but that was just from two years ago. Uh. 667 00:38:35,000 --> 00:38:37,919 Speaker 1: And then this this case of this girl that doctor 668 00:38:38,000 --> 00:38:42,839 Speaker 1: say is a one in six billion event. At nine 669 00:38:42,920 --> 00:38:45,239 Speaker 1: years old, she got a liver transplant. And everyone knows 670 00:38:45,440 --> 00:38:47,439 Speaker 1: when you get an organ transplant, getting it to take 671 00:38:47,600 --> 00:38:50,400 Speaker 1: is a big deal. Uh, not having it rejected. And 672 00:38:50,440 --> 00:38:52,720 Speaker 1: what they do is they give you medication, usually for life, 673 00:38:53,080 --> 00:38:56,480 Speaker 1: to make sure it stays not rejected. What they found 674 00:38:56,480 --> 00:38:58,520 Speaker 1: with her was that when she got her new liver, 675 00:38:58,680 --> 00:39:02,680 Speaker 1: the drugs actually made her sick, the ones to keep 676 00:39:02,680 --> 00:39:04,880 Speaker 1: her from rejecting it. And what they found when they 677 00:39:04,880 --> 00:39:08,000 Speaker 1: tested her blood was that her body was changing its 678 00:39:08,000 --> 00:39:12,600 Speaker 1: blood type and completely changed its blood type to where 679 00:39:12,640 --> 00:39:15,759 Speaker 1: she didn't need those drugs anymore. It changed from OH 680 00:39:16,000 --> 00:39:19,040 Speaker 1: negative to oh positive, right, and she completely went off 681 00:39:19,040 --> 00:39:21,040 Speaker 1: those drugs. And I think she's like twenty years old now, 682 00:39:21,560 --> 00:39:23,840 Speaker 1: and the doctors I don't think they have any explanation 683 00:39:23,920 --> 00:39:27,239 Speaker 1: for it other than I guess this can happen. Her 684 00:39:27,280 --> 00:39:31,120 Speaker 1: body was like like the kind of local tough that 685 00:39:31,200 --> 00:39:33,399 Speaker 1: fights with pool queues or something like that. You know. 686 00:39:34,040 --> 00:39:35,759 Speaker 1: I was like, all right, just what I gotta do. 687 00:39:36,040 --> 00:39:39,280 Speaker 1: I gotta do what I gotta do keep this liver. Uh. 688 00:39:39,320 --> 00:39:42,120 Speaker 1: So that's pretty awesome. Yeah, that was super awesome. One 689 00:39:42,120 --> 00:39:45,160 Speaker 1: in six billion. It's pretty nice to have that quantified 690 00:39:45,239 --> 00:39:47,480 Speaker 1: for you. You know. I bet she feels like a 691 00:39:47,520 --> 00:39:51,319 Speaker 1: lucky lady. So, Chuck, we've kind of laid out by 692 00:39:51,360 --> 00:39:55,719 Speaker 1: now that blood types are confounding science still um but 693 00:39:55,800 --> 00:39:59,200 Speaker 1: there are some guests, some assumptions about why we have them, 694 00:39:59,280 --> 00:40:02,879 Speaker 1: Although that is the that is still the question that 695 00:40:02,960 --> 00:40:07,480 Speaker 1: plagues blood researchers. Why do we have blood types. Well, 696 00:40:07,520 --> 00:40:10,800 Speaker 1: you'd think it was because, you know, because they're fighting 697 00:40:10,800 --> 00:40:14,879 Speaker 1: off uh, blood born invaders. Like, that's why we have them. 698 00:40:14,880 --> 00:40:17,640 Speaker 1: But that doesn't explain why we have different ones, right exactly. 699 00:40:17,680 --> 00:40:20,959 Speaker 1: And then what confounds that even further is the fact 700 00:40:20,960 --> 00:40:26,040 Speaker 1: that apparently some blood types actually increase your susceptibility to 701 00:40:26,600 --> 00:40:30,040 Speaker 1: some blood born invaders. Yes, so some blood types help 702 00:40:30,160 --> 00:40:33,399 Speaker 1: certain fight certain diseases and not others. And like you said, 703 00:40:33,400 --> 00:40:35,520 Speaker 1: then there are others that make you more susceptible. Yeah, 704 00:40:35,520 --> 00:40:37,799 Speaker 1: and not only in the case of like where oh, 705 00:40:37,920 --> 00:40:42,560 Speaker 1: not having this a antigen makes me more susceptible because 706 00:40:42,600 --> 00:40:47,719 Speaker 1: the a antigen fights off say I think malaria more. 707 00:40:48,360 --> 00:40:50,560 Speaker 1: It's not even the case of that. In some cases, 708 00:40:50,880 --> 00:40:54,480 Speaker 1: having an antigen proves to be food for certain kind 709 00:40:54,520 --> 00:40:59,840 Speaker 1: of um germs and bacteria that cause illness actually binds easier. Yeah, 710 00:40:59,840 --> 00:41:02,239 Speaker 1: it binds or they eat like the sugar of the 711 00:41:02,239 --> 00:41:05,120 Speaker 1: protein and they just go attack your body. Like it's 712 00:41:05,160 --> 00:41:07,840 Speaker 1: like food, Like your blood type is food to certain 713 00:41:07,920 --> 00:41:11,400 Speaker 1: kinds of diseases that make you terribly sick. Right, So 714 00:41:12,000 --> 00:41:16,400 Speaker 1: from an evolutionary standpoint, those things should not exist. Yeah, 715 00:41:16,440 --> 00:41:19,759 Speaker 1: the only thing to me that makes sense is when 716 00:41:19,760 --> 00:41:23,399 Speaker 1: you included this word in here, which is variation, And 717 00:41:23,680 --> 00:41:27,600 Speaker 1: that to me makes sense because variation is generally pretty 718 00:41:27,640 --> 00:41:33,799 Speaker 1: good for a population, right, because it covers more bases. Uh. 719 00:41:33,840 --> 00:41:36,719 Speaker 1: And in this case that maybe why I mean they 720 00:41:36,800 --> 00:41:40,480 Speaker 1: have found Kevin Kane, this guy. University of Toronto did 721 00:41:40,480 --> 00:41:42,520 Speaker 1: a lot of investigating on this and found that, like 722 00:41:42,560 --> 00:41:46,200 Speaker 1: you said, it was, Type OH protects against malaria better. 723 00:41:46,600 --> 00:41:50,560 Speaker 1: Type A makes you more susceptible to pulp smallpox. Type 724 00:41:50,560 --> 00:41:53,000 Speaker 1: B you're more likely to be infected by E. Coli. 725 00:41:53,840 --> 00:41:57,439 Speaker 1: So it's just you should know what your blood type 726 00:41:57,480 --> 00:41:59,799 Speaker 1: is and what you're more likely to get and not get. Yeah, 727 00:42:00,000 --> 00:42:02,840 Speaker 1: would think. And again remember we said that UM that 728 00:42:03,080 --> 00:42:08,600 Speaker 1: some some anergin service binding sites for certain kinds of bacteria. 729 00:42:08,920 --> 00:42:11,959 Speaker 1: Same thing with the neuro virus UM, which has nothing 730 00:42:12,000 --> 00:42:14,000 Speaker 1: to do with your bloods seem to make any sense 731 00:42:14,200 --> 00:42:16,799 Speaker 1: at first at first, until you find out that not 732 00:42:16,920 --> 00:42:19,880 Speaker 1: only does UM do the does your body express your 733 00:42:19,880 --> 00:42:22,960 Speaker 1: blood type anogens on the surface of your red blood cells, 734 00:42:23,160 --> 00:42:26,320 Speaker 1: it also expresses them on the surface of the cells 735 00:42:26,400 --> 00:42:29,960 Speaker 1: that line your gut. And neuro virus has had a 736 00:42:29,960 --> 00:42:33,799 Speaker 1: lot to do with your gut. So specifically, I think 737 00:42:33,840 --> 00:42:38,640 Speaker 1: if you're Type OH, you UM have basically what accounts 738 00:42:38,800 --> 00:42:42,960 Speaker 1: what amounts to a landing pad for UM neuro virus 739 00:42:43,400 --> 00:42:45,920 Speaker 1: to bind too, and you are really going to be 740 00:42:45,960 --> 00:42:48,839 Speaker 1: hating it compared to everybody else on the cruise ship 741 00:42:48,880 --> 00:42:51,799 Speaker 1: that has Type A B or A B or if 742 00:42:51,800 --> 00:42:54,840 Speaker 1: your type OH, you might get a ruptured Achilles tendon 743 00:42:54,960 --> 00:42:57,200 Speaker 1: or an ulcer a little more easily, and that weird. Yeah, 744 00:42:57,200 --> 00:43:00,239 Speaker 1: they've linked a lot of a lot of susceptibilityy to 745 00:43:00,320 --> 00:43:05,960 Speaker 1: illness is two different blood types, So infections, cancers, memory loss, 746 00:43:06,280 --> 00:43:10,399 Speaker 1: heart disease get this. Type A blood types are most 747 00:43:10,520 --> 00:43:13,239 Speaker 1: most susceptible to stress, which makes a lot of sense 748 00:43:13,280 --> 00:43:15,880 Speaker 1: because the type of personality is like, I don't think 749 00:43:15,920 --> 00:43:19,840 Speaker 1: those are l go go go, let's get things done 750 00:43:19,920 --> 00:43:23,160 Speaker 1: kind of thing type. But that's not what you know. 751 00:43:23,680 --> 00:43:28,120 Speaker 1: We don't know. Uh. All this ignorance though lead to 752 00:43:29,120 --> 00:43:32,320 Speaker 1: a discovery, while it didn't lead to but it's exemplified 753 00:43:32,360 --> 00:43:37,400 Speaker 1: by the discovery in ninety two and Bombay UM patients 754 00:43:37,520 --> 00:43:42,480 Speaker 1: that didn't have a B O blood type at all confounding. 755 00:43:42,560 --> 00:43:44,920 Speaker 1: It's called the Bombay phenotype and it was discovered in 756 00:43:44,920 --> 00:43:48,600 Speaker 1: the fifties, and basically it's um. It's really rare. It's 757 00:43:48,640 --> 00:43:52,440 Speaker 1: again Carl Zimmer comes in to say, if owes that 758 00:43:52,560 --> 00:43:56,440 Speaker 1: single story ranch and A is two story and b's 759 00:43:56,440 --> 00:43:59,640 Speaker 1: a two story house, then this Bombay phenotype is an 760 00:43:59,680 --> 00:44:02,120 Speaker 1: empty vacant lot. Yeah, like these are the guys that 761 00:44:02,200 --> 00:44:05,799 Speaker 1: have nothing there. Yeah, as far as goes and uh, 762 00:44:05,840 --> 00:44:09,520 Speaker 1: in India, you're about one in ten thousand. You have 763 00:44:09,560 --> 00:44:13,160 Speaker 1: one inten thousand chants of having this UM blood type, 764 00:44:13,280 --> 00:44:16,200 Speaker 1: and one in four million in the world. But the 765 00:44:16,560 --> 00:44:19,960 Speaker 1: thing that's confounding about is these people don't appear to 766 00:44:20,000 --> 00:44:23,560 Speaker 1: be any more or less fit or healthy than people 767 00:44:23,760 --> 00:44:26,239 Speaker 1: in the A B O blood group. Yeah, it's just 768 00:44:26,320 --> 00:44:28,439 Speaker 1: if you need that blood, you're in bad shape. Yeah, 769 00:44:28,440 --> 00:44:31,239 Speaker 1: you have to get Bombay because I think uh, I 770 00:44:31,239 --> 00:44:33,560 Speaker 1: think blood has a shelf life of about forty two days. 771 00:44:34,320 --> 00:44:38,880 Speaker 1: So I mean imagine places like India and Bombay especially, 772 00:44:39,239 --> 00:44:41,000 Speaker 1: they probably have a lot more of this on hand. 773 00:44:41,719 --> 00:44:44,279 Speaker 1: But if you're traveling in the United States, maybe you 774 00:44:44,400 --> 00:44:47,279 Speaker 1: might have a bit of a time if you're bleeding out. 775 00:44:48,920 --> 00:44:53,400 Speaker 1: It was also a general hospital subplot, wasn't really I 776 00:44:53,480 --> 00:44:55,759 Speaker 1: was just poking around and it was like a leave 777 00:44:55,800 --> 00:44:58,239 Speaker 1: it to the soap opera to make that like the 778 00:44:58,320 --> 00:45:02,359 Speaker 1: rarest blood type a sub paternity subplot. That was how 779 00:45:02,360 --> 00:45:04,560 Speaker 1: they proved out fraternity for one of the somebody had 780 00:45:04,600 --> 00:45:08,319 Speaker 1: the Bombay phenixs. Yeah, they're like, it is you and 781 00:45:08,360 --> 00:45:14,960 Speaker 1: you're a secretory fuzz uh. So we've talked about how 782 00:45:15,080 --> 00:45:18,680 Speaker 1: the blood types are they make you more or less 783 00:45:18,680 --> 00:45:21,719 Speaker 1: susceptible of the disease, right. They think that that's one 784 00:45:21,760 --> 00:45:25,440 Speaker 1: of the reasons why UM. Different blood types appear in 785 00:45:25,520 --> 00:45:30,840 Speaker 1: different UM ethnic groups differently. They think that it's evidence 786 00:45:30,880 --> 00:45:35,120 Speaker 1: that in the not too distant evolutionary past, certain UM, 787 00:45:35,360 --> 00:45:40,560 Speaker 1: certain parasites or bacteria or germs or viruses that have 788 00:45:40,680 --> 00:45:43,360 Speaker 1: some sort of preference for a certain blood type passed 789 00:45:43,400 --> 00:45:47,399 Speaker 1: through an area and largely wiped out the people with 790 00:45:47,440 --> 00:45:51,359 Speaker 1: that blood type, left the other blood type standing. Yeah, 791 00:45:51,360 --> 00:45:54,680 Speaker 1: we were talking earlier about in China UM, and actually 792 00:45:54,719 --> 00:45:56,440 Speaker 1: in Russian and India two they have a lot more 793 00:45:56,640 --> 00:45:59,960 Speaker 1: blood type b UM, and that is because the bubona 794 00:46:00,080 --> 00:46:03,440 Speaker 1: plague and malaria outbreaks that swept through those countries not 795 00:46:03,560 --> 00:46:07,160 Speaker 1: too long ago and basically wiped out a lot of 796 00:46:07,200 --> 00:46:10,239 Speaker 1: the o's and a's. So you've got a lot more bees. Yeah, 797 00:46:10,520 --> 00:46:15,160 Speaker 1: this isn't This hasn't been proven in science. Things aren't 798 00:46:15,200 --> 00:46:17,480 Speaker 1: proven that there's more and more and more evidence that 799 00:46:17,560 --> 00:46:19,919 Speaker 1: backs it up. It seems to be a correlation. Yeah, 800 00:46:19,960 --> 00:46:22,400 Speaker 1: there is. And it's not just China, Russia, and India. 801 00:46:22,760 --> 00:46:27,360 Speaker 1: Africa has a lot of type uh oh people, which 802 00:46:27,440 --> 00:46:31,960 Speaker 1: is less susceptible than malaria UM, and Africa has a 803 00:46:32,000 --> 00:46:34,239 Speaker 1: lot of malaria. So it does make a lot of 804 00:46:34,280 --> 00:46:38,319 Speaker 1: sense that that's that's what happened. So even if the 805 00:46:38,400 --> 00:46:43,520 Speaker 1: reason we have blood types isn't because UM, it provides 806 00:46:43,560 --> 00:46:47,840 Speaker 1: a defense against defend blood borne um illnesses or whatever. 807 00:46:48,239 --> 00:46:52,200 Speaker 1: It's a function for sure of blood types. If you 808 00:46:52,239 --> 00:46:57,800 Speaker 1: want to not get teleological here, well who does teleologists? 809 00:47:00,040 --> 00:47:04,960 Speaker 1: Oh we'll finish up here with two uh examples of 810 00:47:05,760 --> 00:47:09,360 Speaker 1: well one example of HOKEM. One example that may or 811 00:47:09,440 --> 00:47:11,520 Speaker 1: may not be HOKEM, but it's probably HOKEM at the 812 00:47:11,600 --> 00:47:14,560 Speaker 1: very least. It's fun the blood type diet. There was 813 00:47:14,640 --> 00:47:23,920 Speaker 1: a natural path named Peter damont at Adamo Adamo I 814 00:47:24,000 --> 00:47:26,680 Speaker 1: actually funny enough. I was like, how do you pronounce that? 815 00:47:27,000 --> 00:47:30,120 Speaker 1: I found an old Regis and Kathy Lee. I don't 816 00:47:30,160 --> 00:47:32,360 Speaker 1: know if I would trust that. Well, he was standing 817 00:47:32,440 --> 00:47:34,279 Speaker 1: next to him, and he seemed to agree with it. 818 00:47:34,480 --> 00:47:36,800 Speaker 1: So usually though, when it's a di apostrophe, is just 819 00:47:37,000 --> 00:47:41,239 Speaker 1: dottamo and not diadamo. He didn't correct Regius. Well, who 820 00:47:41,320 --> 00:47:45,560 Speaker 1: does Kathy Lee? Oh, this is pre Kelly Rippa. Yeah, 821 00:47:45,600 --> 00:47:48,000 Speaker 1: it was Regis and Kathy Lee. Well, so she was drunk, 822 00:47:49,239 --> 00:47:53,440 Speaker 1: and just as Regis, all right, this is he is 823 00:47:53,480 --> 00:47:56,359 Speaker 1: a natural path with my wife calls a hokey pokey doctor. 824 00:47:57,080 --> 00:48:00,919 Speaker 1: And he published a very famous and popular book called 825 00:48:01,000 --> 00:48:04,840 Speaker 1: Eat Right for Number four Your Type, Eat Right for 826 00:48:04,920 --> 00:48:09,480 Speaker 1: Your Type UM seven million copies to date, sixty languages 827 00:48:09,560 --> 00:48:14,359 Speaker 1: has been translated into and he postulated that um our 828 00:48:14,400 --> 00:48:18,200 Speaker 1: blood types came along over the years, um as we evolved, 829 00:48:18,840 --> 00:48:22,920 Speaker 1: and that we should eat according to win our blood type. 830 00:48:22,960 --> 00:48:26,719 Speaker 1: What was going on when our blood type first came about? Right? 831 00:48:26,840 --> 00:48:31,160 Speaker 1: Like evolutionarily speaking exactly so like um the I think 832 00:48:31,239 --> 00:48:35,040 Speaker 1: he's he decided that the type oh blood type came 833 00:48:35,080 --> 00:48:39,120 Speaker 1: about during hunter gatherer era. Yeah, you're saying he decided 834 00:48:39,160 --> 00:48:41,920 Speaker 1: it's very key here, Yeah, I mean I don't know 835 00:48:42,040 --> 00:48:44,839 Speaker 1: what it was based on other than his guesses. Um, 836 00:48:44,960 --> 00:48:47,160 Speaker 1: but he and then he said type A was the 837 00:48:47,239 --> 00:48:51,680 Speaker 1: dawn of agriculture. Type B was from the Himalayan highlands 838 00:48:51,760 --> 00:48:54,360 Speaker 1: ten thousand and fifteen thousand years ago. And then he 839 00:48:54,400 --> 00:48:56,719 Speaker 1: said Type A B is a modern blending of Type 840 00:48:56,760 --> 00:49:00,720 Speaker 1: A and Type B. Pretty convenient. So if you, for example, 841 00:49:00,840 --> 00:49:03,880 Speaker 1: or type A, your blood type came about during the 842 00:49:03,960 --> 00:49:08,960 Speaker 1: hunter gather um days, and your your diet should consist 843 00:49:09,080 --> 00:49:12,800 Speaker 1: mostly of like raw vegetarian foods. Now, that's during the 844 00:49:12,880 --> 00:49:18,080 Speaker 1: dawn of agriculture. Hunter gatherer would be meat eaters. Oh sorry, yeah, yeah, 845 00:49:18,360 --> 00:49:19,880 Speaker 1: so that would be type Oh, it would be the 846 00:49:20,040 --> 00:49:22,520 Speaker 1: meat eaters, right. So Type A would be dawn of agriculture. 847 00:49:22,560 --> 00:49:26,359 Speaker 1: So you would eat um, Yeah, vegetables should he said, 848 00:49:26,440 --> 00:49:31,520 Speaker 1: like you yeah, type oh meat rich, no grains and 849 00:49:31,600 --> 00:49:35,520 Speaker 1: dairy type be lots of dairy um. Also called the 850 00:49:35,560 --> 00:49:40,520 Speaker 1: death diet right, and to avoid foods that aren't suited 851 00:49:40,560 --> 00:49:43,680 Speaker 1: to your blood type. And he did this. Um he said, 852 00:49:43,680 --> 00:49:46,360 Speaker 1: it will reduce infections and you'll lose weight and you 853 00:49:46,440 --> 00:49:49,839 Speaker 1: can fight cancer and I can sell books a lot 854 00:49:49,960 --> 00:49:52,719 Speaker 1: of books pretty much was the reason. And they've done 855 00:49:52,800 --> 00:49:55,719 Speaker 1: testing over the years, the Red Cross of Belgium did 856 00:49:56,000 --> 00:49:58,800 Speaker 1: a lot of people have and they've all said this 857 00:49:59,040 --> 00:50:01,400 Speaker 1: is not true. No, the Red Cross of Belgium did 858 00:50:01,440 --> 00:50:03,840 Speaker 1: a survey of a thousand studies and found no directive 859 00:50:03,880 --> 00:50:05,800 Speaker 1: and it's supporting the health effects of the A B 860 00:50:05,920 --> 00:50:09,440 Speaker 1: O blood type diet. End quote. But that's not to 861 00:50:09,480 --> 00:50:11,960 Speaker 1: say that these diets aren't good for you. For example, 862 00:50:12,760 --> 00:50:17,080 Speaker 1: that type A diet, it's basically vegetarianism. So of course 863 00:50:17,120 --> 00:50:20,480 Speaker 1: you're gonna lose weight, you're gonna lower your body mass index. Uh, 864 00:50:20,719 --> 00:50:24,160 Speaker 1: you you may, whatever you're going to. You're going on 865 00:50:24,280 --> 00:50:26,360 Speaker 1: a vegetarian diet. There, but none of these have to 866 00:50:26,400 --> 00:50:28,680 Speaker 1: do a blood type. No, Like, if you're a type oh, 867 00:50:29,000 --> 00:50:31,399 Speaker 1: go on the type A diet and you will see 868 00:50:31,440 --> 00:50:33,960 Speaker 1: those same benefits, same effects, So don't go on the 869 00:50:34,000 --> 00:50:36,719 Speaker 1: type B diet. So basically it seems like this guy 870 00:50:37,040 --> 00:50:40,359 Speaker 1: um just took some some pretty good diets except for yeah, 871 00:50:40,400 --> 00:50:42,800 Speaker 1: the type the type B diet is. Yeah, you'd a 872 00:50:42,840 --> 00:50:46,279 Speaker 1: bunch of fats and dairy. Although fats have gotten a 873 00:50:46,360 --> 00:50:48,359 Speaker 1: bad rap. Yeah, I mean not all fats are bad, 874 00:50:48,440 --> 00:50:51,840 Speaker 1: of course we know that. But but supposed diet is 875 00:50:51,880 --> 00:50:56,319 Speaker 1: not the one to go with. So that was hokum. Allegedly, 876 00:50:56,719 --> 00:51:01,040 Speaker 1: this I'm at the risk of respecting our friends in Asia. 877 00:51:01,080 --> 00:51:03,759 Speaker 1: I'm not gonna call this complete hokum. Well, they they 878 00:51:03,800 --> 00:51:06,720 Speaker 1: believe it pretty like like we believe it is. Actually 879 00:51:06,840 --> 00:51:09,360 Speaker 1: it's gonna say, like we believe astrology. A lot of 880 00:51:09,400 --> 00:51:12,440 Speaker 1: people here just have astrology is like a fun thing 881 00:51:12,520 --> 00:51:17,080 Speaker 1: to read. They really take it seriously in Japan apparently. Yeah, so, um, 882 00:51:18,120 --> 00:51:20,400 Speaker 1: I don't know what you would compare it to over here. 883 00:51:20,440 --> 00:51:22,880 Speaker 1: I don't even know that it has an analog astrology. 884 00:51:23,440 --> 00:51:27,759 Speaker 1: I guess, um, I guess the but the but yeah, 885 00:51:27,840 --> 00:51:30,600 Speaker 1: there's the distinction is is that like over there, more 886 00:51:30,680 --> 00:51:34,080 Speaker 1: people definitely take it as as fact. Yes, I'm saying 887 00:51:34,080 --> 00:51:35,919 Speaker 1: they take it way more seriously. But it's being born 888 00:51:36,000 --> 00:51:38,960 Speaker 1: with something that determines your personality type. So back in 889 00:51:39,040 --> 00:51:43,520 Speaker 1: the seven two kg, fur Fura Kawa, who is a 890 00:51:43,600 --> 00:51:48,960 Speaker 1: professor at Tokyo Women's Teachers School, he decided that blood types, 891 00:51:49,560 --> 00:51:51,960 Speaker 1: and this is based on his observations, blood types and 892 00:51:52,000 --> 00:51:55,360 Speaker 1: personality types were related somehow, and he started to do 893 00:51:55,520 --> 00:51:59,600 Speaker 1: some studies and he decided, I've got this figured out. 894 00:51:59,680 --> 00:52:02,879 Speaker 1: I I've got them mapped. I have type A, type 895 00:52:02,920 --> 00:52:06,200 Speaker 1: B type baby and type OH personality types map And 896 00:52:06,280 --> 00:52:09,480 Speaker 1: it actually caught on, uh, in the East big time 897 00:52:09,560 --> 00:52:12,360 Speaker 1: and still is today. And the Japanese actually have a 898 00:52:12,520 --> 00:52:16,560 Speaker 1: word for a type of harassment, say basically getting passed 899 00:52:16,600 --> 00:52:18,960 Speaker 1: over for a job or not getting into a certain 900 00:52:19,000 --> 00:52:23,279 Speaker 1: school based on your blood type. Yeah, buddhah, Yeah, is 901 00:52:23,280 --> 00:52:26,239 Speaker 1: that right? Is a good pronouncement. I think of pronunciation, 902 00:52:26,600 --> 00:52:31,359 Speaker 1: I couldn't even frown that up, but blood type harassment. Yeah. 903 00:52:31,360 --> 00:52:34,000 Speaker 1: And we'll go over these because it's, um, they're cute. 904 00:52:34,080 --> 00:52:37,399 Speaker 1: It's interesting. Um, if you're blood type A, you were 905 00:52:37,520 --> 00:52:41,240 Speaker 1: going to be kind and compassionate and put others before yourself. 906 00:52:42,320 --> 00:52:44,239 Speaker 1: You're calm on the outside, but you have a lot 907 00:52:44,280 --> 00:52:47,000 Speaker 1: of inner turmoil. Um, but you're a good listener, and 908 00:52:47,000 --> 00:52:48,640 Speaker 1: you're gonna have a lot of friends, and you get 909 00:52:48,640 --> 00:52:51,560 Speaker 1: along with others well. But it's typically at the expense 910 00:52:51,640 --> 00:52:54,000 Speaker 1: of your own sense of balance and happiness. You're just 911 00:52:54,760 --> 00:52:57,640 Speaker 1: giving a little too much. Yeah, you're not speaking up 912 00:52:57,680 --> 00:53:00,520 Speaker 1: for yourself necessarily in order to keep the peace. That's right. 913 00:53:01,280 --> 00:53:04,560 Speaker 1: That's type A. Yeah. Type B is the George Clooney 914 00:53:04,600 --> 00:53:10,080 Speaker 1: of blood types. Smug. No, he's not smug. What I 915 00:53:10,080 --> 00:53:14,320 Speaker 1: don't think he's smug. What it's like, it's defining characteristic. 916 00:53:14,600 --> 00:53:18,160 Speaker 1: I don't think he smug at all. Oh my god, really, yes, 917 00:53:18,280 --> 00:53:20,839 Speaker 1: I'm about a faint. No, I don't find him smug 918 00:53:20,920 --> 00:53:23,359 Speaker 1: at all. I think if you agree with someone, then 919 00:53:23,400 --> 00:53:25,279 Speaker 1: you probably don't find them smug. I agree with him 920 00:53:25,280 --> 00:53:26,759 Speaker 1: in a lot of ways. I think it's a really 921 00:53:26,880 --> 00:53:29,399 Speaker 1: cool thing to do to spend your money the higher 922 00:53:29,440 --> 00:53:32,160 Speaker 1: satellites to track war lords in Africa. That's about as 923 00:53:32,200 --> 00:53:33,960 Speaker 1: cool a thing as you can do with your riches 924 00:53:34,000 --> 00:53:37,160 Speaker 1: as anybody. Right, I still think he's smug. I don't 925 00:53:37,160 --> 00:53:39,080 Speaker 1: think he smugging. I can't like. I don't think he 926 00:53:39,120 --> 00:53:43,440 Speaker 1: can help it. I think we have different definitions of smug. 927 00:53:43,640 --> 00:53:46,520 Speaker 1: If you mean handsome and winning and charming, then yes, 928 00:53:46,560 --> 00:53:49,960 Speaker 1: he's smug. And being a hundred and ten percent aware 929 00:53:50,400 --> 00:53:53,239 Speaker 1: that you're handsome and charming and winning at any given moment, 930 00:53:53,360 --> 00:53:56,520 Speaker 1: down to the molecular levels. That's my definition of smug. 931 00:53:58,040 --> 00:54:01,279 Speaker 1: Awareness of your good looks. That yeah, over confident self 932 00:54:01,320 --> 00:54:05,360 Speaker 1: awareness is smugness. I'm on team Cleaney. I'm not opposed 933 00:54:05,440 --> 00:54:08,040 Speaker 1: George Claney. I just think I just can't imagine not 934 00:54:08,200 --> 00:54:11,200 Speaker 1: thinking you smug. Well, imagine it, baby, like I don't 935 00:54:11,239 --> 00:54:14,719 Speaker 1: even know you right now. Well, that's because I'm a 936 00:54:14,760 --> 00:54:18,040 Speaker 1: personality Type BE blood Type BE, like my buddy George, 937 00:54:18,280 --> 00:54:21,520 Speaker 1: that means I'm outgoing, in friendly. I'm a people person, 938 00:54:22,239 --> 00:54:25,080 Speaker 1: and I don't do that at the expense of my 939 00:54:25,239 --> 00:54:29,560 Speaker 1: own feelings. It just comes naturally, too, yeah, George. Whereas 940 00:54:29,560 --> 00:54:31,920 Speaker 1: like a Type A would like you're a people person, 941 00:54:32,000 --> 00:54:34,640 Speaker 1: but you really expend a lot of energy being a 942 00:54:34,719 --> 00:54:37,080 Speaker 1: people person. Type B. It's just like you said, it 943 00:54:37,160 --> 00:54:41,000 Speaker 1: just comes naturally. You're very adjustable. Uh, you're good at 944 00:54:41,120 --> 00:54:42,719 Speaker 1: a job if you have to deal with people. I 945 00:54:42,760 --> 00:54:45,719 Speaker 1: don't think we said that. Type A blood people don't 946 00:54:45,800 --> 00:54:47,640 Speaker 1: like to have jobs where they deal with other people. Right. 947 00:54:48,160 --> 00:54:52,520 Speaker 1: It gives examples of programmers, accountants, writers, librarians are good 948 00:54:52,840 --> 00:54:56,120 Speaker 1: jobs for Type A. Uh, and Type BE like Mr Cliney, 949 00:54:56,239 --> 00:54:59,400 Speaker 1: is not suitable for marriage because they're flirty and playful 950 00:54:59,480 --> 00:55:03,239 Speaker 1: and sm YEA, so say Korean women, that's right. Um, 951 00:55:04,160 --> 00:55:07,480 Speaker 1: you added the smug thing by the way at the end, Yes, 952 00:55:07,719 --> 00:55:12,040 Speaker 1: of course I did. That was pretty smug. Type A 953 00:55:12,200 --> 00:55:16,160 Speaker 1: B though they are freedom loving. Yeah, they're strong and rational. 954 00:55:16,760 --> 00:55:20,120 Speaker 1: They don't worry about the little things. Uh. They can 955 00:55:20,360 --> 00:55:23,759 Speaker 1: look at life's challenges with emotion removed and say this 956 00:55:23,800 --> 00:55:25,360 Speaker 1: is what I need to do to get past this. 957 00:55:25,800 --> 00:55:29,239 Speaker 1: So their psychopaths, uh, not necessarily. They seem to not 958 00:55:29,400 --> 00:55:31,880 Speaker 1: have issues with the relationships, and they're quite popular. They 959 00:55:31,880 --> 00:55:35,000 Speaker 1: seem to be the winningest personality group. I'm gonna go 960 00:55:35,040 --> 00:55:38,120 Speaker 1: a psychopath for that. I mean, I see what you're saying, 961 00:55:38,200 --> 00:55:41,080 Speaker 1: but yeah, I don't think so. Uh. And then finally 962 00:55:41,160 --> 00:55:45,239 Speaker 1: we have personality. Oh blood type. Oh, you're responsible and 963 00:55:45,320 --> 00:55:48,839 Speaker 1: practical and rule conscious. You're a great leader and very 964 00:55:48,920 --> 00:55:53,239 Speaker 1: determined to achieve your goals. You're physically strong, so you 965 00:55:53,320 --> 00:55:56,320 Speaker 1: might be a good athlete. Yeah, and they're most happy 966 00:55:56,440 --> 00:56:00,279 Speaker 1: with other typeos or type abes, and that are the 967 00:56:00,320 --> 00:56:03,560 Speaker 1: personality blood types. I've never heard of that. That's all 968 00:56:03,640 --> 00:56:06,160 Speaker 1: we know about blood time. I thought that was pretty neat. 969 00:56:06,200 --> 00:56:08,560 Speaker 1: I never heard that that was a big thing. Yeah, 970 00:56:08,600 --> 00:56:09,799 Speaker 1: you've me told me about that. I was like, we're 971 00:56:09,960 --> 00:56:12,320 Speaker 1: doing blood type. She's like, oh, you know about like 972 00:56:12,920 --> 00:56:17,360 Speaker 1: Japanese blood types, right, blood type personality type. Yeah, She's like, 973 00:56:17,440 --> 00:56:21,040 Speaker 1: you know, like George Clooney, smuck. You're like, we're meant 974 00:56:21,080 --> 00:56:25,000 Speaker 1: to be together. It's funny. We just hold hands and 975 00:56:25,080 --> 00:56:31,160 Speaker 1: watch monuments manners, just like, oh god, alright, Chuck. If 976 00:56:31,200 --> 00:56:33,759 Speaker 1: people want to know more about blood types, I would 977 00:56:33,800 --> 00:56:36,680 Speaker 1: steer clear how stuff works because it has one of 978 00:56:36,760 --> 00:56:39,600 Speaker 1: the densest, most incomprehensible articles I've ever read in my 979 00:56:39,680 --> 00:56:44,359 Speaker 1: life on this site about blood It really needs rewriting. UM. 980 00:56:44,560 --> 00:56:46,440 Speaker 1: This this thing you put together was great, Thank you. 981 00:56:46,520 --> 00:56:48,279 Speaker 1: I appreciate that. UM, and a lot of it was 982 00:56:48,320 --> 00:56:51,239 Speaker 1: based on a mosaic article by Carl Zimmer about blood types, 983 00:56:51,239 --> 00:56:54,640 Speaker 1: which I strongly recommend you go read. Uh. And since 984 00:56:54,680 --> 00:56:59,799 Speaker 1: I said Carl Zimmer, it's time for listener mail, UH 985 00:57:00,040 --> 00:57:02,800 Speaker 1: gonna call this truck drive and chemist, Guys. I was 986 00:57:02,840 --> 00:57:04,440 Speaker 1: a truck driver from O five to O eight and 987 00:57:04,480 --> 00:57:06,640 Speaker 1: listen to your show back then I left trucking to 988 00:57:06,680 --> 00:57:09,480 Speaker 1: go to college and I was taking chemistry. We had 989 00:57:09,520 --> 00:57:12,279 Speaker 1: to do a research paper on a compound, and so 990 00:57:12,560 --> 00:57:14,640 Speaker 1: I always want to know about diesel, so I looked 991 00:57:14,680 --> 00:57:17,320 Speaker 1: into diesel. We should do one on diesel. He says, 992 00:57:17,360 --> 00:57:21,040 Speaker 1: it sounds pretty interesting. UM, I learned it's some really 993 00:57:21,120 --> 00:57:24,920 Speaker 1: interesting thing about Rudolph Diesel's invention and about the man himself. 994 00:57:25,240 --> 00:57:28,280 Speaker 1: The original diesel compound was actually made from peanuts, and 995 00:57:28,360 --> 00:57:31,400 Speaker 1: he invented the engine for small plants. Uh was it 996 00:57:31,440 --> 00:57:35,920 Speaker 1: George Washington Carver, No, it was Rudolph Diesel. Um. He 997 00:57:36,480 --> 00:57:40,000 Speaker 1: uh invented it the engine UM for small plants that 998 00:57:40,080 --> 00:57:44,320 Speaker 1: could power um, not you know, biological plants like a 999 00:57:44,360 --> 00:57:48,080 Speaker 1: power plant. Yeah. Uh yeah, you could power a warehouse 1000 00:57:48,160 --> 00:57:51,680 Speaker 1: to compete with the big industrial warehouses during the Industrial Revolution. 1001 00:57:51,760 --> 00:57:54,200 Speaker 1: So he was a man of the people. But here's 1002 00:57:54,240 --> 00:57:57,680 Speaker 1: the conspiracy theory part. Rudolph Diesel found out his diesel 1003 00:57:57,720 --> 00:58:01,040 Speaker 1: engine was going to be powering Germany's newest warships called 1004 00:58:01,200 --> 00:58:06,600 Speaker 1: Unta sea boots means under sea boats. Where are you 1005 00:58:06,640 --> 00:58:10,800 Speaker 1: gonna say? Not that? Uh? And he was really angry 1006 00:58:11,000 --> 00:58:14,240 Speaker 1: that they would use his invention for war. So he 1007 00:58:14,320 --> 00:58:16,240 Speaker 1: told the German naval representative that if they were going 1008 00:58:16,280 --> 00:58:19,680 Speaker 1: to use his diesel for war, he would take his 1009 00:58:19,760 --> 00:58:22,400 Speaker 1: designs to England so they would have it too and 1010 00:58:22,480 --> 00:58:25,160 Speaker 1: could counter Germany, and that Germany might as well not 1011 00:58:25,400 --> 00:58:28,680 Speaker 1: use it. And they shot him on the spot. Basically, 1012 00:58:29,800 --> 00:58:32,320 Speaker 1: he's not a smart thing to announce, No, he he 1013 00:58:32,400 --> 00:58:34,640 Speaker 1: pushed all his chips in and lost. He told off. 1014 00:58:34,680 --> 00:58:37,120 Speaker 1: The government boarded a ferry to England in the evening 1015 00:58:37,240 --> 00:58:39,640 Speaker 1: to arrive in the morning. Uh. He left word to 1016 00:58:39,720 --> 00:58:41,680 Speaker 1: wake him since he had an appointment with the Naval 1017 00:58:41,760 --> 00:58:44,560 Speaker 1: Office in Britain, and when the ferry ducked the next morning, 1018 00:58:44,640 --> 00:58:47,680 Speaker 1: he was gone. Eight days later, his body was found 1019 00:58:47,720 --> 00:58:50,200 Speaker 1: floating in the English Channel. And this all happened a 1020 00:58:50,240 --> 00:58:53,560 Speaker 1: few short years before World War One. Wow, I can't 1021 00:58:53,560 --> 00:58:58,320 Speaker 1: believe that, like government agents would fascinate somebody when they 1022 00:58:58,400 --> 00:59:01,920 Speaker 1: threatened to take a very important thing to another country. Yeah. Um, 1023 00:59:02,120 --> 00:59:03,960 Speaker 1: so that sounds like a good podcast. He says. You 1024 00:59:04,000 --> 00:59:06,120 Speaker 1: have a man fighting for the common man, man that 1025 00:59:06,200 --> 00:59:08,680 Speaker 1: didn't like his Anvintioninis for war and engine we still 1026 00:59:08,800 --> 00:59:11,280 Speaker 1: used today and could be using more in the future. 1027 00:59:11,880 --> 00:59:15,200 Speaker 1: And that is from Russ Fortney. Russ, my friend, I 1028 00:59:15,440 --> 00:59:19,760 Speaker 1: think you just did a little mini podcast. Thanks a 1029 00:59:19,800 --> 00:59:23,520 Speaker 1: lot for that, man. I love I love history, me too, 1030 00:59:23,880 --> 00:59:27,200 Speaker 1: love history. Never knew about Rudolph Diesel, no no idea. 1031 00:59:27,280 --> 00:59:29,240 Speaker 1: I didn't even know somebody's last name. I just didn't. 1032 00:59:29,440 --> 00:59:33,320 Speaker 1: It was a thing, you know, like Jimmy gasoline right, 1033 00:59:33,880 --> 00:59:40,960 Speaker 1: or that Elizabeth bacteria Elizabeth bacteria. Jimmy, guess if you 1034 00:59:41,280 --> 00:59:43,520 Speaker 1: want to tell us something that we don't know about 1035 00:59:43,600 --> 00:59:46,880 Speaker 1: that will blow our tops because it's so cool, Like Russ, 1036 00:59:47,320 --> 00:59:49,800 Speaker 1: you can tweet to us at s y s K Podcast. 1037 00:59:50,200 --> 00:59:52,480 Speaker 1: You can join us on Facebook dot com slash stuff 1038 00:59:52,480 --> 00:59:54,560 Speaker 1: You Should Know. You can send us an email to 1039 00:59:54,680 --> 00:59:57,480 Speaker 1: Stuff Podcast at how stuff works dot com, and, as always, 1040 00:59:57,520 --> 01:00:00,560 Speaker 1: joined us on the web at our lugg sarious home 1041 01:00:00,800 --> 01:00:08,800 Speaker 1: Stuff You snow dot com. For more on this and 1042 01:00:08,880 --> 01:00:11,680 Speaker 1: thousands of other topics, is it how stuff works dot com.