1 00:00:01,120 --> 00:00:04,560 Speaker 1: Welcome to Stuff you Should Know from House Stuff Works 2 00:00:04,600 --> 00:00:13,840 Speaker 1: dot com. Hey, and welcome to the podcast. I'm Josh Clark, 3 00:00:13,920 --> 00:00:17,720 Speaker 1: and there's Charles W. Chuck Bryant right there, there's Jerry 4 00:00:17,760 --> 00:00:21,040 Speaker 1: over there, and well, well you guys are feeling fine. 5 00:00:21,280 --> 00:00:23,680 Speaker 1: I'm a little under the weather, but it's still stuff 6 00:00:23,720 --> 00:00:28,440 Speaker 1: you should know, the two thousand nineteen Flu edition, that's right. 7 00:00:28,480 --> 00:00:33,000 Speaker 1: And this is dangerously close to published date for us. Yeah, 8 00:00:33,080 --> 00:00:35,360 Speaker 1: a little a little close for comfort if you ask me. 9 00:00:35,840 --> 00:00:37,760 Speaker 1: But you know what, this gives us the opportunity to 10 00:00:37,760 --> 00:00:43,479 Speaker 1: do real time stuff. Yeah, like say Seattle, Portland in 11 00:00:43,520 --> 00:00:47,920 Speaker 1: San Francisco. Yeah, we're gonna be in your town next week. 12 00:00:48,920 --> 00:00:51,960 Speaker 1: Uh the week, No, you're right, dude, next week when 13 00:00:52,000 --> 00:00:56,280 Speaker 1: this comes out. Yeah, so uh more Theater on January, 14 00:00:57,440 --> 00:01:00,480 Speaker 1: uh in Seattle, Revolution Hall in Portland on je X, 15 00:01:01,280 --> 00:01:04,080 Speaker 1: and then our annual Sketch Fest show at the Castro 16 00:01:04,160 --> 00:01:07,480 Speaker 1: on January. Tickets are moving kind of slow, guys, And 17 00:01:07,520 --> 00:01:09,880 Speaker 1: I think there's been, uh, there's been people writing in 18 00:01:09,920 --> 00:01:13,679 Speaker 1: saying they didn't even know that you were coming. Yeah, so, uh, 19 00:01:14,560 --> 00:01:17,399 Speaker 1: I don't know what the problem is. We're coming, We're coming. Yeah, 20 00:01:17,400 --> 00:01:20,399 Speaker 1: We're still troubleshooting what the deal was, what, because we 21 00:01:20,440 --> 00:01:23,600 Speaker 1: don't ever want to happen again. But um, I just 22 00:01:23,680 --> 00:01:26,039 Speaker 1: feel good knowing that everybody's not mad at us out 23 00:01:26,040 --> 00:01:29,480 Speaker 1: in the Pacific Northwest. Well, I hope not. I would 24 00:01:29,480 --> 00:01:31,399 Speaker 1: hope not too, but it was kind of luck in 25 00:01:31,480 --> 00:01:33,640 Speaker 1: that way for a second. We think it might be 26 00:01:33,720 --> 00:01:36,080 Speaker 1: something to do with our promos, who knows, so we 27 00:01:36,120 --> 00:01:39,800 Speaker 1: wanted to put it in this episode, right, like in 28 00:01:39,880 --> 00:01:43,319 Speaker 1: the body of the episode, like you can't miss it. 29 00:01:43,440 --> 00:01:46,480 Speaker 1: So now you know, go to s y s K 30 00:01:46,720 --> 00:01:50,320 Speaker 1: live dot com and there will be links out to 31 00:01:50,360 --> 00:01:53,280 Speaker 1: go get tickets, info all that stuff, and we'll see 32 00:01:53,280 --> 00:01:56,560 Speaker 1: you guys next week. So hurry, hurry, hurry, go get 33 00:01:56,560 --> 00:01:59,920 Speaker 1: your tickets. We'll see you next week next Tuesday, Wednesday 34 00:02:00,120 --> 00:02:02,960 Speaker 1: and Thursday, right, and I will be feeling better by then, 35 00:02:03,000 --> 00:02:07,240 Speaker 1: I'm hoping, ye. So, um, the chuck is kind of 36 00:02:07,240 --> 00:02:10,359 Speaker 1: appropriate that we're talking about the flu, because I don't 37 00:02:10,400 --> 00:02:14,000 Speaker 1: have the flu, but I'm a little sick, a little funky. Um, 38 00:02:14,120 --> 00:02:17,360 Speaker 1: I'm not contagious, so don't worry. Well, I appreciate you 39 00:02:17,400 --> 00:02:21,360 Speaker 1: wearing the face mask anyway, which it turns out, according 40 00:02:21,400 --> 00:02:25,200 Speaker 1: to this uh this article that ed wrote, um it, Uh, 41 00:02:25,280 --> 00:02:28,560 Speaker 1: it's yeah, useless. It doesn't do anything. Yeah, I don't. 42 00:02:28,600 --> 00:02:31,440 Speaker 1: I don't know if that's truly useless, is it? Yes? 43 00:02:31,520 --> 00:02:34,679 Speaker 1: I think it is actually quite useless. Um. If it's 44 00:02:34,680 --> 00:02:38,000 Speaker 1: a bacterial infection, it might do something because bacteria is 45 00:02:38,080 --> 00:02:40,959 Speaker 1: much larger than viruses. But viruses are very very small, 46 00:02:41,360 --> 00:02:44,600 Speaker 1: certainly small enough to be expelled through the mash of 47 00:02:44,600 --> 00:02:48,000 Speaker 1: a gauze when you cougher sneeze into it, sneeze and 48 00:02:48,080 --> 00:02:52,880 Speaker 1: that mask puffs out and little particles spew. Maybe just 49 00:02:52,919 --> 00:02:56,000 Speaker 1: not as far. Yeah, yeah, they might be slowed down 50 00:02:56,040 --> 00:02:58,639 Speaker 1: a little bit. Who knows, maybe like being pushed through 51 00:02:58,680 --> 00:03:02,000 Speaker 1: like a little channel beats them up and increases their 52 00:03:02,040 --> 00:03:07,160 Speaker 1: tragic Oh my god, we don't know yet. Uh. Yeah, 53 00:03:07,200 --> 00:03:11,080 Speaker 1: but this is a flu centric episode, and I can't remember. 54 00:03:11,120 --> 00:03:14,520 Speaker 1: I think I was turned onto this idea. You were 55 00:03:14,560 --> 00:03:19,480 Speaker 1: turned on by this idea to this idea? Um, I 56 00:03:19,520 --> 00:03:21,200 Speaker 1: think it was when I was sort of going down 57 00:03:21,200 --> 00:03:23,840 Speaker 1: a World War One rabbit hole. Oh yeah, you were 58 00:03:23,840 --> 00:03:26,200 Speaker 1: talking about that in some episode. I think that was 59 00:03:26,200 --> 00:03:29,200 Speaker 1: what it was. So this is pretty appropriate that we're 60 00:03:29,200 --> 00:03:34,079 Speaker 1: talking about this because exactly a hundred years ago today, 61 00:03:34,120 --> 00:03:40,200 Speaker 1: basically the United States. The world really was standing there, stricken, 62 00:03:40,480 --> 00:03:44,360 Speaker 1: picking up the pieces of basically shattered societies all around 63 00:03:44,400 --> 00:03:49,960 Speaker 1: the globe that has just been leveled, absolutely leveled by 64 00:03:50,000 --> 00:03:54,400 Speaker 1: a flu epidemic that came through and killed so many people, 65 00:03:55,000 --> 00:03:59,240 Speaker 1: made so many people sick. It's widely seen as possibly 66 00:03:59,320 --> 00:04:01,960 Speaker 1: tied for for if not, it's a very close second 67 00:04:02,280 --> 00:04:06,760 Speaker 1: to the worst natural disaster and the worst pandemic to 68 00:04:06,880 --> 00:04:11,720 Speaker 1: ever hit human kind in the history of our species. Yeah, 69 00:04:11,880 --> 00:04:13,760 Speaker 1: that's how bad it was, and it happened just a 70 00:04:13,840 --> 00:04:17,560 Speaker 1: hundred years ago. Yeah. I've seen estimates as high as 71 00:04:17,600 --> 00:04:20,839 Speaker 1: fifty million people dead. Yeah, I've seen I've seen it 72 00:04:20,920 --> 00:04:23,080 Speaker 1: up to a hundred million. I think fifty million. Is 73 00:04:23,320 --> 00:04:25,240 Speaker 1: it used to be like the low end and now 74 00:04:25,440 --> 00:04:27,760 Speaker 1: or the high end? And now it's starting to become 75 00:04:27,760 --> 00:04:30,320 Speaker 1: clear it's probably about the low end. I think the 76 00:04:30,360 --> 00:04:33,480 Speaker 1: low end is twenty Oh is that right? Uh? And 77 00:04:33,520 --> 00:04:37,720 Speaker 1: I'm gonna name the high end. Five million people. That's 78 00:04:37,760 --> 00:04:41,880 Speaker 1: supposedly from what I've seen, how many were actually infected? Oh? 79 00:04:41,960 --> 00:04:46,800 Speaker 1: Well possibly, And not only that, like, when that many 80 00:04:46,839 --> 00:04:53,240 Speaker 1: people die, it changes the course of world history. Yeah, 81 00:04:53,760 --> 00:04:58,520 Speaker 1: it changes it. Basically, it unravels the fabric of society 82 00:04:58,520 --> 00:05:03,920 Speaker 1: as we'll see sociding cultures and rules and uh, just 83 00:05:03,960 --> 00:05:06,200 Speaker 1: how humans looked at the earth. It like it it 84 00:05:06,279 --> 00:05:11,400 Speaker 1: really turned the forward march of humanity in a certain direction. 85 00:05:12,000 --> 00:05:15,520 Speaker 1: It definitely did. And like this, it's really difficult. Like 86 00:05:15,560 --> 00:05:18,400 Speaker 1: this is one of the most fascinating pieces of of 87 00:05:18,520 --> 00:05:22,599 Speaker 1: world history to me because it was like it's it was. 88 00:05:22,640 --> 00:05:25,719 Speaker 1: It's pretty well documented because it happened only a hundred 89 00:05:25,839 --> 00:05:30,480 Speaker 1: years ago, and because it's just so insane what happened, 90 00:05:30,720 --> 00:05:34,880 Speaker 1: Like the Spanish flu was so bad chuck that um 91 00:05:35,000 --> 00:05:39,520 Speaker 1: people were dying of thirst because there was no one 92 00:05:39,560 --> 00:05:41,920 Speaker 1: around them to take care of them. The people who 93 00:05:42,040 --> 00:05:45,720 Speaker 1: were still healthy were so afraid of catching the flu 94 00:05:45,760 --> 00:05:48,160 Speaker 1: they would basically let their neighbors die alone in their 95 00:05:48,160 --> 00:05:51,520 Speaker 1: homes rather than go help them and take care of 96 00:05:51,520 --> 00:05:54,200 Speaker 1: them and give them water. Like that's that's how bad 97 00:05:54,240 --> 00:05:56,640 Speaker 1: it was. Like people were dying of thirst from being 98 00:05:56,720 --> 00:05:58,560 Speaker 1: so laid up by the flu and not being able 99 00:05:58,560 --> 00:06:01,360 Speaker 1: to get water themselves and not having anyone to take 100 00:06:01,360 --> 00:06:03,760 Speaker 1: care of them. And it happened in the United States 101 00:06:03,960 --> 00:06:07,080 Speaker 1: hundred years ago and all over the world. And despite 102 00:06:07,080 --> 00:06:10,479 Speaker 1: all of this horrific thing, Uh, we're about to talk 103 00:06:10,520 --> 00:06:14,839 Speaker 1: about the Grabster started his article writing about hockey as 104 00:06:14,880 --> 00:06:17,760 Speaker 1: he is from Buffalo, and then later on he's like, 105 00:06:18,160 --> 00:06:22,799 Speaker 1: it's the third wave that that canceled the NHL playoffs. Yeah, 106 00:06:22,839 --> 00:06:25,159 Speaker 1: I mean it is a footnote though. The Stanley Cup, 107 00:06:25,400 --> 00:06:28,239 Speaker 1: the very famous Stanley Cup, the trophy of the NHL 108 00:06:29,160 --> 00:06:33,480 Speaker 1: uh that has all the winning teams etched into it 109 00:06:33,520 --> 00:06:37,919 Speaker 1: says series not completed. That's all it says. And unless 110 00:06:37,920 --> 00:06:40,160 Speaker 1: you know what's going on, you might just scratch your 111 00:06:40,160 --> 00:06:43,720 Speaker 1: head and say, why was the series not completed that year? 112 00:06:43,839 --> 00:06:47,679 Speaker 1: And the reason is because the Spanish flu literally killed 113 00:06:47,680 --> 00:06:51,000 Speaker 1: one of the players and got quite a few of 114 00:06:51,040 --> 00:06:54,640 Speaker 1: them sick on both sides of the Seattle Metropolitans. In 115 00:06:54,680 --> 00:06:58,280 Speaker 1: the Montreal Canadiens, yeah, I guess, like right before the 116 00:06:58,320 --> 00:07:00,800 Speaker 1: fifth game was going to be played, um or the 117 00:07:00,839 --> 00:07:04,320 Speaker 1: sixth game was going to be played, they like four 118 00:07:04,400 --> 00:07:07,600 Speaker 1: of them were in the hospital. One died, and they're like, yeah, 119 00:07:07,640 --> 00:07:10,240 Speaker 1: we'll just go ahead and canceled the series this year. 120 00:07:11,080 --> 00:07:13,640 Speaker 1: But what's what is crazy is like, that's pretty bad 121 00:07:13,680 --> 00:07:17,080 Speaker 1: because think about it, you're a hockey player, you're probably young, 122 00:07:17,280 --> 00:07:20,680 Speaker 1: you're probably pretty healthy. That's really weird to die from 123 00:07:20,680 --> 00:07:23,720 Speaker 1: the flu. Uh, and that was a big hallmark of 124 00:07:23,720 --> 00:07:26,080 Speaker 1: the Spanish flu as we'll see. But this was also 125 00:07:26,160 --> 00:07:29,480 Speaker 1: like a third wave. This is the third like roundhouse 126 00:07:29,560 --> 00:07:33,160 Speaker 1: that the Spanish fluid delivered to the global population when 127 00:07:33,160 --> 00:07:35,920 Speaker 1: the when the Stanley Cup was canceled or the the 128 00:07:36,040 --> 00:07:41,360 Speaker 1: NHL Playoffs was canceled that year in amazing. So let's 129 00:07:41,400 --> 00:07:46,440 Speaker 1: talk a little bit about flues normally, shall we. Yeah, 130 00:07:46,480 --> 00:07:48,440 Speaker 1: I mean, I think everyone understands that the flu is 131 00:07:48,480 --> 00:07:51,000 Speaker 1: not bacterial like you were talking about. It is a virus, 132 00:07:51,720 --> 00:07:55,040 Speaker 1: and ordinarily like the flu that you have, is that 133 00:07:55,120 --> 00:07:57,480 Speaker 1: the flu you have are cold. It's just like a cold. 134 00:07:57,480 --> 00:08:00,080 Speaker 1: It's just funk, you know what I mean? You me 135 00:08:00,120 --> 00:08:02,920 Speaker 1: and I went to Vegas for her birthday, um, to 136 00:08:03,000 --> 00:08:05,840 Speaker 1: go see Dave Chappelle and John Mayer, and I think 137 00:08:06,160 --> 00:08:08,040 Speaker 1: just being on the plane and being kind of run 138 00:08:08,120 --> 00:08:10,200 Speaker 1: down and everything, we we both kind of picked up 139 00:08:10,200 --> 00:08:12,400 Speaker 1: a little bit funk. I think it's a tummy year. 140 00:08:13,240 --> 00:08:17,440 Speaker 1: It's a funky kind of year. Emily gets sick every January. Yeah. 141 00:08:17,520 --> 00:08:21,320 Speaker 1: I think it's also has to do with the holidays, uh, 142 00:08:21,640 --> 00:08:26,120 Speaker 1: just because they're as fun and and unadulterated ly enjoyable 143 00:08:26,160 --> 00:08:30,000 Speaker 1: as they are, they're also a taed stressful sometimes. Well yeah, 144 00:08:30,000 --> 00:08:32,000 Speaker 1: and her that's her busy time of year for her business, 145 00:08:32,000 --> 00:08:34,839 Speaker 1: so oh yeah, that's it's it's almost inevitable that she'll 146 00:08:34,840 --> 00:08:37,880 Speaker 1: get sick every January, just like her body's fighting and 147 00:08:37,880 --> 00:08:41,959 Speaker 1: fighting all through December and then just goes literally the 148 00:08:42,000 --> 00:08:45,560 Speaker 1: day after Christmas. It's like sniff, yeah, he just crashed. 149 00:08:45,640 --> 00:08:49,240 Speaker 1: Here it comes. Yeah. So the flu was a virus, 150 00:08:49,320 --> 00:08:51,640 Speaker 1: and in most cases, like I was saying, you have 151 00:08:51,760 --> 00:08:53,880 Speaker 1: the you know, you have your eggs and your fever 152 00:08:54,000 --> 00:08:57,400 Speaker 1: and your coughing, and you're tired, and uh, sometimes it 153 00:08:57,440 --> 00:09:00,360 Speaker 1: may be affect your stomach some sometimes it may not, 154 00:09:00,760 --> 00:09:02,559 Speaker 1: but it's usually in and out in a few days, 155 00:09:03,400 --> 00:09:06,480 Speaker 1: and that's sort of the end of it. Um. If 156 00:09:06,520 --> 00:09:09,360 Speaker 1: you're like you mentioned, if you're elderly, or if you're 157 00:09:09,400 --> 00:09:12,200 Speaker 1: a little little tiny one, uh, the flu can be 158 00:09:12,280 --> 00:09:16,319 Speaker 1: pretty dangerous in any case, but ordinarily in healthy adults, 159 00:09:16,400 --> 00:09:19,080 Speaker 1: is just a regular sickness that comes and goes. Yeah, 160 00:09:19,200 --> 00:09:22,160 Speaker 1: especially like if you look at you know, a graph 161 00:09:22,200 --> 00:09:24,880 Speaker 1: of ages starting at an infant all the way say 162 00:09:24,920 --> 00:09:27,640 Speaker 1: two hundred year olds. If you if you look at 163 00:09:27,640 --> 00:09:30,440 Speaker 1: flu deaths, it goes down in the middle and then 164 00:09:30,480 --> 00:09:32,760 Speaker 1: goes back up. It's high on one end, high on 165 00:09:32,800 --> 00:09:35,600 Speaker 1: the other end, very low to non existent in the middle, 166 00:09:35,679 --> 00:09:41,000 Speaker 1: like healthy, like middle aged and younger adults don't die 167 00:09:41,160 --> 00:09:44,880 Speaker 1: from the flu normally, right. Uh So, there are many 168 00:09:44,880 --> 00:09:49,200 Speaker 1: types of flu. Uh, many strains of this virus. And 169 00:09:49,480 --> 00:09:53,040 Speaker 1: in nineteen eighteen, for the Spanish flu, which we'll get 170 00:09:53,040 --> 00:09:55,920 Speaker 1: to the naming of that in a second, it was 171 00:09:56,040 --> 00:09:59,280 Speaker 1: type A subtype H one in one because they have 172 00:09:59,360 --> 00:10:03,640 Speaker 1: subtype designations, and then within those subtypes there are other strains. 173 00:10:03,840 --> 00:10:07,760 Speaker 1: Because the flu is constantly trying to outrun humans and 174 00:10:08,200 --> 00:10:12,760 Speaker 1: humans trying to beat it down. Yeah, I guess so. 175 00:10:12,760 --> 00:10:14,800 Speaker 1: So it's like I'm just gonna change a little Yeah, 176 00:10:14,880 --> 00:10:17,240 Speaker 1: watch this, and it goes big boom boom boop, and 177 00:10:17,280 --> 00:10:23,960 Speaker 1: now it's Bumblebee from Transformers exactly. Uh So, this was 178 00:10:24,000 --> 00:10:28,400 Speaker 1: a genuine pandemic called the Spanish flu. And I never 179 00:10:28,720 --> 00:10:30,720 Speaker 1: knew this at all, but it had really had nothing 180 00:10:30,800 --> 00:10:35,640 Speaker 1: to do with being out of Spain or have anything 181 00:10:35,679 --> 00:10:38,160 Speaker 1: to do with Spain other than the fact that Spain 182 00:10:38,280 --> 00:10:41,560 Speaker 1: was neutral in World War two, I'm sorry, world War One, 183 00:10:42,240 --> 00:10:45,800 Speaker 1: and while other newspapers around the world were really censoring 184 00:10:45,880 --> 00:10:49,440 Speaker 1: things and not so free. Spain was just reporting. The 185 00:10:49,480 --> 00:10:52,440 Speaker 1: only country really reporting about the flu. Yeah right, I 186 00:10:52,480 --> 00:10:55,080 Speaker 1: didn't call the Spanish flu. I didn't realize this either. 187 00:10:55,120 --> 00:10:57,160 Speaker 1: In the Spanish were like no, no, wait, wait, you 188 00:10:57,240 --> 00:11:00,600 Speaker 1: guys aren't getting this. It's all just disproportionately on us. 189 00:11:00,679 --> 00:11:03,880 Speaker 1: But it started in Kansas, it right. It seems like 190 00:11:04,040 --> 00:11:08,760 Speaker 1: the um the that Spain had the worst of it because, 191 00:11:08,960 --> 00:11:10,559 Speaker 1: like you said, they were the only ones who were 192 00:11:10,559 --> 00:11:13,360 Speaker 1: openly reporting on it. And some of the Axis and 193 00:11:13,480 --> 00:11:15,520 Speaker 1: Allied actually that might have been World War two, but 194 00:11:15,760 --> 00:11:19,360 Speaker 1: some like France, Germany, Great Britain, the US, the governments 195 00:11:19,400 --> 00:11:22,280 Speaker 1: were at war and their propaganda machines were in full swing. 196 00:11:22,600 --> 00:11:25,400 Speaker 1: They didn't want to do anything to impact morale. They 197 00:11:25,440 --> 00:11:27,840 Speaker 1: also didn't want to give the enemy any indication that 198 00:11:27,880 --> 00:11:30,520 Speaker 1: their troops were sick, that there was a flu virus 199 00:11:30,520 --> 00:11:34,360 Speaker 1: spreading through their their ranks, so they just downplayed it 200 00:11:34,600 --> 00:11:37,920 Speaker 1: at home and everywhere. But since Spain was neutral, they 201 00:11:37,960 --> 00:11:39,839 Speaker 1: talked about it. It It seemed like Spain had the worst 202 00:11:39,880 --> 00:11:42,720 Speaker 1: of it. That's totally not the case. It's just it 203 00:11:42,800 --> 00:11:45,840 Speaker 1: was all just reporting. Spain just reported on it openly. 204 00:11:46,160 --> 00:11:49,720 Speaker 1: That's fascinating. To me. Yeah, totally fascinating, and uh, it 205 00:11:49,760 --> 00:11:52,960 Speaker 1: was a legit pandemic because it touched UM kind of 206 00:11:53,000 --> 00:11:56,679 Speaker 1: every corner of the globe, except for notably two places 207 00:11:56,720 --> 00:12:01,080 Speaker 1: that were able to successfully quarantine themselves. What was that 208 00:12:01,160 --> 00:12:06,199 Speaker 1: American Samoa, Yeah, in New Caledonia. Are those even places? 209 00:12:06,480 --> 00:12:10,360 Speaker 1: They still are places thanks to those quarantines. Yeah, it 210 00:12:10,400 --> 00:12:12,680 Speaker 1: could have wiped them out. Oh yeah, I think some 211 00:12:12,760 --> 00:12:15,520 Speaker 1: places did get wiped out. I believe Western Samoa UM 212 00:12:15,720 --> 00:12:18,280 Speaker 1: was basically wiped out by the Spanish flu. There were 213 00:12:18,280 --> 00:12:22,800 Speaker 1: plenty of UM like settlements, especially Native American settlements in 214 00:12:23,360 --> 00:12:27,959 Speaker 1: more remote places like Alaska, that were almost entirely if 215 00:12:27,960 --> 00:12:31,520 Speaker 1: not entirely wiped out UM. And then you know if 216 00:12:31,600 --> 00:12:33,679 Speaker 1: depending on where you went around the world, like Japan 217 00:12:34,160 --> 00:12:37,080 Speaker 1: got hit, but they they had like a one percent 218 00:12:37,120 --> 00:12:40,079 Speaker 1: infection rate or something like that, where other places had 219 00:12:40,160 --> 00:12:44,000 Speaker 1: like like I think globally it was about thirty. So 220 00:12:44,120 --> 00:12:46,720 Speaker 1: it was strange how it hit people differently. But it 221 00:12:46,760 --> 00:12:49,079 Speaker 1: was definitely, like you said, it was a real pandemic 222 00:12:49,440 --> 00:12:52,520 Speaker 1: in that it was everywhere around the world that this 223 00:12:52,600 --> 00:12:55,680 Speaker 1: strain of the flu was leveling people. Yeah, and there's 224 00:12:55,720 --> 00:12:58,680 Speaker 1: a couple of other kind of startling stats. That five 225 00:12:59,120 --> 00:13:01,640 Speaker 1: million in fact that you were talking about not dead 226 00:13:01,679 --> 00:13:04,600 Speaker 1: but infected. That was about a thirty three percent of 227 00:13:04,600 --> 00:13:09,400 Speaker 1: the world's population, which is startling. And in the United 228 00:13:09,440 --> 00:13:12,520 Speaker 1: States life expects you know how it talked about it 229 00:13:12,520 --> 00:13:15,760 Speaker 1: just changing everything. Oh yeah, it actually altered life expectancy 230 00:13:15,800 --> 00:13:20,439 Speaker 1: in the US by twelve years. Yeah, from nineteen eighteen 231 00:13:20,440 --> 00:13:25,320 Speaker 1: and nineteen nineteen, they expected average expected or the life 232 00:13:25,320 --> 00:13:28,559 Speaker 1: expectancy like you said, it went from it went to 233 00:13:28,640 --> 00:13:31,319 Speaker 1: thirty six point six for men and forty two point 234 00:13:31,400 --> 00:13:35,240 Speaker 1: two for women man, which is pretty like the the 235 00:13:35,280 --> 00:13:37,720 Speaker 1: what it had been before was still pretty low, but 236 00:13:37,960 --> 00:13:42,760 Speaker 1: to drop twelve years overnight, basically because I don't think 237 00:13:42,800 --> 00:13:45,480 Speaker 1: we've gotten this across yet, Chuck. What we're talking about 238 00:13:45,559 --> 00:13:48,959 Speaker 1: happened in less than a year. In less than a year, 239 00:13:49,040 --> 00:13:51,840 Speaker 1: a third of the world's population came down with this 240 00:13:52,040 --> 00:13:55,600 Speaker 1: very virulent flu and as much as five percent of 241 00:13:55,640 --> 00:13:58,200 Speaker 1: the world's population died from that flu in less than 242 00:13:58,240 --> 00:14:01,280 Speaker 1: a year. Yeah, and the we'll talk about the different waves, 243 00:14:01,320 --> 00:14:06,040 Speaker 1: but the second deadliest wave really was about four months 244 00:14:07,040 --> 00:14:08,880 Speaker 1: and and the amount of people that died within a 245 00:14:08,920 --> 00:14:11,360 Speaker 1: four month period all over the world was just like 246 00:14:11,720 --> 00:14:15,440 Speaker 1: it's hard to really grasp it really is. And the 247 00:14:15,520 --> 00:14:18,480 Speaker 1: other thing about it too, is largely because of that 248 00:14:18,559 --> 00:14:22,720 Speaker 1: propaganda machine, that was the propaganda machines that were in 249 00:14:22,800 --> 00:14:26,760 Speaker 1: full operation in all those different countries, along with um 250 00:14:27,000 --> 00:14:29,960 Speaker 1: kind of exuberance for the war being over or just 251 00:14:30,040 --> 00:14:33,120 Speaker 1: basically being focused on the war. Because the Spanish flu 252 00:14:33,200 --> 00:14:35,760 Speaker 1: happened at the same time World War One was going 253 00:14:35,800 --> 00:14:39,960 Speaker 1: on and ending. Um, it wasn't. It's not remembered like 254 00:14:40,000 --> 00:14:41,840 Speaker 1: you think it would be. Like you would think this 255 00:14:41,880 --> 00:14:43,880 Speaker 1: would be like everyone would know about this and be 256 00:14:43,920 --> 00:14:46,520 Speaker 1: talking about it, and it's not. It just kind of 257 00:14:46,520 --> 00:14:49,400 Speaker 1: got swept under the rug historically speaking in a lot 258 00:14:49,440 --> 00:14:52,480 Speaker 1: of ways. You want to take a break. Yeah, I 259 00:14:52,480 --> 00:14:57,520 Speaker 1: think that was a uh wonderful, long winded setup. That's 260 00:14:57,520 --> 00:15:29,920 Speaker 1: what we do. That's how we do things, alright, Chuck. 261 00:15:30,320 --> 00:15:33,760 Speaker 1: So let's start at what maybe the beginning. There's this 262 00:15:33,800 --> 00:15:38,240 Speaker 1: guy named John M. Barry, and he is a not 263 00:15:38,400 --> 00:15:41,480 Speaker 1: Embury by the way, his meddle initials M, and his 264 00:15:41,560 --> 00:15:46,280 Speaker 1: last name is Barry. Uh. He is an historian, and 265 00:15:46,320 --> 00:15:50,080 Speaker 1: he wrote a book called The Great Influenza, and he 266 00:15:50,120 --> 00:15:52,840 Speaker 1: wrote an article based on his research called how the 267 00:15:52,880 --> 00:15:58,880 Speaker 1: Horrific en flew spread across America. It's on Smithsonian magazine. UM, 268 00:15:58,920 --> 00:16:01,800 Speaker 1: and this guy's done some leg work and he has 269 00:16:02,080 --> 00:16:06,360 Speaker 1: created a theory that's starting in about January of nineteen eighteen, 270 00:16:06,480 --> 00:16:09,640 Speaker 1: the beginning of nineteen eighteen, uh, there was a flu 271 00:16:09,720 --> 00:16:14,040 Speaker 1: outbreak in Haskell County, Kansas, which is a very rural 272 00:16:14,080 --> 00:16:18,680 Speaker 1: agricultural area, and that some of those farm boys who 273 00:16:18,760 --> 00:16:21,760 Speaker 1: came down with the same flu made their way to 274 00:16:21,840 --> 00:16:25,200 Speaker 1: Camp Funston, which is part of Fort Riley, Kansas now 275 00:16:25,600 --> 00:16:28,280 Speaker 1: Santa Fe in particular, was is the town if you 276 00:16:28,320 --> 00:16:31,880 Speaker 1: want to even pinpointed further in Kansas, not New Mexico, 277 00:16:32,160 --> 00:16:37,800 Speaker 1: Santa Fe, Haskell County, Kansas, three miles west of Camp Funston, YEP. 278 00:16:38,120 --> 00:16:40,840 Speaker 1: So some of these farm boys who were sick with 279 00:16:40,920 --> 00:16:44,680 Speaker 1: this flu ended up being drafted and sent to Camp Funston. 280 00:16:45,560 --> 00:16:49,360 Speaker 1: And it was Camp Funston where they think the first 281 00:16:50,080 --> 00:16:53,960 Speaker 1: cases of the Spanish flu started to break out. That 282 00:16:54,040 --> 00:16:57,520 Speaker 1: first wave happened in about the spring and then traveling 283 00:16:57,640 --> 00:17:00,600 Speaker 1: over to Europe into the summer of nineteen unique teen. 284 00:17:00,960 --> 00:17:03,400 Speaker 1: And it wasn't that first wave wasn't particularly bad, It 285 00:17:03,400 --> 00:17:08,880 Speaker 1: wasn't any particularly noteworthy, and it was mostly confined to um, 286 00:17:08,880 --> 00:17:12,560 Speaker 1: two dough boys basically people who worked on on military 287 00:17:12,600 --> 00:17:17,600 Speaker 1: basis as well. Um, and then maybe towns near military basis. 288 00:17:17,680 --> 00:17:19,320 Speaker 1: But that was about it. And then it went away 289 00:17:19,320 --> 00:17:22,560 Speaker 1: and it wasn't like had it just been that, it 290 00:17:22,640 --> 00:17:27,400 Speaker 1: probably would not have been remarkable historically at all. Yeah, 291 00:17:27,440 --> 00:17:30,160 Speaker 1: and you know this, we may not even know about 292 00:17:30,240 --> 00:17:32,840 Speaker 1: any of this as far as its origin. And there 293 00:17:32,840 --> 00:17:34,639 Speaker 1: have been a lot of other theories over the years 294 00:17:35,160 --> 00:17:37,320 Speaker 1: about its origin, but this one seems to hold the 295 00:17:37,359 --> 00:17:40,840 Speaker 1: most water now. But we may not have ever known 296 00:17:40,920 --> 00:17:42,760 Speaker 1: anything about any of the origin if it had not 297 00:17:42,840 --> 00:17:49,159 Speaker 1: been for Dr Loring Minor, who was a great for 298 00:17:49,320 --> 00:17:51,560 Speaker 1: a small of a county in town as this was. 299 00:17:52,280 --> 00:17:55,720 Speaker 1: He was a really great town doctor. Uh. And he 300 00:17:55,840 --> 00:17:59,080 Speaker 1: was like at the time, flew just would come and go, 301 00:17:59,200 --> 00:18:01,840 Speaker 1: like I said. So was never reported on in journals. 302 00:18:02,200 --> 00:18:05,359 Speaker 1: It was never uh, it was never really a big deal. 303 00:18:05,400 --> 00:18:08,320 Speaker 1: It was never published. But Dr Loring Minor was so 304 00:18:08,400 --> 00:18:12,800 Speaker 1: alarmed at the rate of spread in his small town 305 00:18:13,400 --> 00:18:16,080 Speaker 1: and the how much of a wallop that it packed. 306 00:18:16,400 --> 00:18:20,000 Speaker 1: He actually published his concerns in a in a journal 307 00:18:20,000 --> 00:18:23,399 Speaker 1: called the Public Health Reports journal has a different name today, 308 00:18:23,440 --> 00:18:27,400 Speaker 1: but he was the only person in the world expressing concern. 309 00:18:28,200 --> 00:18:30,320 Speaker 1: And I believe this is still the very first case 310 00:18:30,920 --> 00:18:35,560 Speaker 1: of influenza being reported because of how like unusual and 311 00:18:35,560 --> 00:18:37,920 Speaker 1: and deadly that they thought it could be. Yeah. I 312 00:18:37,960 --> 00:18:40,480 Speaker 1: saw that too, that the very fact that this guy 313 00:18:40,680 --> 00:18:43,800 Speaker 1: reported it at all is remarkable. Yeah. So they kind 314 00:18:43,800 --> 00:18:46,520 Speaker 1: of trace it back and say, we we now think 315 00:18:46,560 --> 00:18:51,080 Speaker 1: we know where ground zero was, Haskell County, Kansas. So 316 00:18:51,960 --> 00:18:54,800 Speaker 1: from Haskell County, Kansas, it went to Camp fund Stone 317 00:18:55,080 --> 00:18:57,119 Speaker 1: and then it went over to Europe. This is the 318 00:18:57,160 --> 00:18:59,760 Speaker 1: first way that we're talking about. They hadn't changed their 319 00:18:59,840 --> 00:19:01,840 Speaker 1: name because that used to be we put the fun 320 00:19:01,920 --> 00:19:05,520 Speaker 1: in fun Stone, right, and then after that they were like, yeah, 321 00:19:05,600 --> 00:19:10,560 Speaker 1: we gotta go to Fort Riley. So um, over in Europe, 322 00:19:10,800 --> 00:19:15,080 Speaker 1: something happened to this, to this flu I mutated in 323 00:19:15,160 --> 00:19:18,280 Speaker 1: some way, it did something. It mixed with some other 324 00:19:18,359 --> 00:19:22,399 Speaker 1: flu maybe from Asia, maybe something that was present in Europe, 325 00:19:22,680 --> 00:19:25,640 Speaker 1: who knows, but there you know, there was a flu 326 00:19:25,720 --> 00:19:30,240 Speaker 1: outbreaks over there in um in Europe, particularly at one 327 00:19:30,280 --> 00:19:35,200 Speaker 1: called a Topoa. I think I added a little extra 328 00:19:35,280 --> 00:19:38,119 Speaker 1: mustard on that, but um, it's generally how you say it. 329 00:19:38,119 --> 00:19:41,399 Speaker 1: It was a huge British camp that held up to 330 00:19:41,440 --> 00:19:44,560 Speaker 1: a hundred thousand troops and it was packed elbow to 331 00:19:44,640 --> 00:19:48,119 Speaker 1: elbow in the summer of nineteen eighteen, and so that 332 00:19:48,240 --> 00:19:52,439 Speaker 1: definitely did not help UM keep the flu under wraps. 333 00:19:52,480 --> 00:19:56,080 Speaker 1: It's spread pretty quickly. And then some of those dough boys, 334 00:19:56,240 --> 00:20:00,239 Speaker 1: those American UM soldiers fighting in World War One who 335 00:20:00,280 --> 00:20:03,840 Speaker 1: were in Europe made their way back to the United States, 336 00:20:04,320 --> 00:20:07,600 Speaker 1: and so this this strain of flu that had made 337 00:20:07,600 --> 00:20:10,520 Speaker 1: its first wave out of Kansas over to Europe came back. 338 00:20:10,560 --> 00:20:13,800 Speaker 1: And when it came back, it was different in all 339 00:20:13,880 --> 00:20:16,480 Speaker 1: the worst ways. Yeah, I mean, we were talking about 340 00:20:16,600 --> 00:20:19,560 Speaker 1: how it got overshadowed by World War One, but it 341 00:20:19,600 --> 00:20:21,359 Speaker 1: may not have even happened had it not been for 342 00:20:21,400 --> 00:20:26,159 Speaker 1: World War One, because the conditions of of army boot 343 00:20:26,160 --> 00:20:30,880 Speaker 1: camp and in shuttling soldiers overseas, like you were saying, 344 00:20:30,920 --> 00:20:34,560 Speaker 1: it's tight quarters, it's like just dude stacked on each other, 345 00:20:35,119 --> 00:20:39,240 Speaker 1: all up in each other's faces, and it was just 346 00:20:39,240 --> 00:20:42,160 Speaker 1: sort of a recipe for disaster. Yeah, while this war 347 00:20:42,280 --> 00:20:45,920 Speaker 1: was you know, not unfolding, it had unfolded by that point, 348 00:20:45,920 --> 00:20:49,159 Speaker 1: but it was really just a confluence of factors. It 349 00:20:49,200 --> 00:20:51,479 Speaker 1: was really kind of staggering. Well, plus also you can 350 00:20:51,560 --> 00:20:54,000 Speaker 1: make the case that those Kansas farm boys never would 351 00:20:54,000 --> 00:20:56,040 Speaker 1: have made their way to Camp fund Ston, and they 352 00:20:56,080 --> 00:20:59,440 Speaker 1: certainly never would have made their way to Europe. So 353 00:20:59,760 --> 00:21:03,240 Speaker 1: it probably wouldn't have happened, especially if the thing mutated 354 00:21:03,280 --> 00:21:06,280 Speaker 1: in Europe and got worse. The Spanish flu, Yeah, probably 355 00:21:06,280 --> 00:21:08,399 Speaker 1: never would have happened had it not been for the 356 00:21:08,440 --> 00:21:11,800 Speaker 1: First World War. Yeah. The other problem was and there 357 00:21:11,800 --> 00:21:13,760 Speaker 1: were a lot of factors to why it spread so quickly, 358 00:21:13,760 --> 00:21:17,040 Speaker 1: but one was because that it didn't really look like 359 00:21:17,119 --> 00:21:20,200 Speaker 1: the flu in a lot of cases. Uh doctors really 360 00:21:20,320 --> 00:21:24,160 Speaker 1: quite you know. They they were slow to diagnose as 361 00:21:24,160 --> 00:21:27,240 Speaker 1: a flu and then as an epidemic because a lot 362 00:21:27,240 --> 00:21:31,359 Speaker 1: of people were dying from pneumonia and uh sometimes for 363 00:21:31,400 --> 00:21:34,199 Speaker 1: a while they thought it was bacterial in nature. So 364 00:21:34,280 --> 00:21:36,440 Speaker 1: they were coming up with vaccines and all this stuff, 365 00:21:36,960 --> 00:21:39,400 Speaker 1: and none of that was working, and so it kind 366 00:21:39,400 --> 00:21:43,520 Speaker 1: of took a long time. Even though doctor uh Minor 367 00:21:43,560 --> 00:21:45,960 Speaker 1: in Kansas was kind of ringing the bell, no one 368 00:21:46,000 --> 00:21:47,840 Speaker 1: was still paying attention. So it took a long time 369 00:21:47,840 --> 00:21:50,080 Speaker 1: for them to kind of sound the alarm and say, 370 00:21:50,119 --> 00:21:52,640 Speaker 1: all right, we got a real problem here, right, And 371 00:21:52,680 --> 00:21:56,760 Speaker 1: at the time they knew that viruses existed but they 372 00:21:56,800 --> 00:21:59,119 Speaker 1: still weren't sure what they were. They called virus is 373 00:21:59,240 --> 00:22:03,320 Speaker 1: filterable agents because they had figured out and I think 374 00:22:03,320 --> 00:22:07,640 Speaker 1: back in that if you've filtered an infection through something 375 00:22:07,680 --> 00:22:10,760 Speaker 1: called a Chamberlain candle, which can filter out any in 376 00:22:10,800 --> 00:22:15,280 Speaker 1: all bacteria, some infections still persist, which shouldn't be the 377 00:22:15,320 --> 00:22:18,399 Speaker 1: case because you've just filtered out all the bacteria. So 378 00:22:18,480 --> 00:22:22,520 Speaker 1: that means that there's something smaller than bacteria that they 379 00:22:22,640 --> 00:22:25,160 Speaker 1: we don't really know about that can cause infection. There's 380 00:22:25,160 --> 00:22:28,200 Speaker 1: some other pathogen out there, and this is the way 381 00:22:28,240 --> 00:22:32,000 Speaker 1: that they that they approached viruses um. I think by 382 00:22:32,000 --> 00:22:34,200 Speaker 1: the time the Spanish fleet was still around, we knew 383 00:22:34,200 --> 00:22:35,639 Speaker 1: that there was something out there, but no one had 384 00:22:35,680 --> 00:22:37,800 Speaker 1: actually ever seen a virus, and wouldn't see a virus 385 00:22:37,880 --> 00:22:40,480 Speaker 1: until I think the nineteen thirties because they're too small 386 00:22:40,560 --> 00:22:45,080 Speaker 1: for optical microscopes. So the the idea that this was 387 00:22:45,240 --> 00:22:48,639 Speaker 1: caused by a bacterial agent, it makes a lot of sense. 388 00:22:48,680 --> 00:22:52,439 Speaker 1: That's what humanity had experience in dealing with entreating. But 389 00:22:52,520 --> 00:22:54,520 Speaker 1: then on top of it, like you said, so many 390 00:22:54,560 --> 00:22:58,560 Speaker 1: people were dying or getting pneumonia that it just appeared 391 00:22:58,600 --> 00:23:02,119 Speaker 1: like it was a horrible material pandemic rather than a 392 00:23:02,240 --> 00:23:06,560 Speaker 1: viral one or typhoid or cholera, like it was misdiagnosed 393 00:23:06,600 --> 00:23:09,879 Speaker 1: all over the place because some of these symptoms were 394 00:23:09,920 --> 00:23:14,520 Speaker 1: just unusual, Like bleeding out of the ears. It's so bad. 395 00:23:15,160 --> 00:23:18,160 Speaker 1: When you're bleeding out of your ears, things are going 396 00:23:18,320 --> 00:23:21,640 Speaker 1: badly for you. Like, it doesn't get much worse than 397 00:23:21,680 --> 00:23:24,600 Speaker 1: bleeding out of your ear. You have serious issues if 398 00:23:24,600 --> 00:23:27,679 Speaker 1: you're bleeding, unless, of course you've like you know, nicked 399 00:23:27,720 --> 00:23:30,320 Speaker 1: the inside of your ear with your fingernail. If you're 400 00:23:30,320 --> 00:23:32,960 Speaker 1: bleeding out of your ear from inside of your head, 401 00:23:33,119 --> 00:23:36,520 Speaker 1: that's bad news. Yeah, I just want to make sure 402 00:23:36,560 --> 00:23:40,040 Speaker 1: I'm on the record as being having that position. I'm 403 00:23:40,040 --> 00:23:43,160 Speaker 1: bleeding out of your ears anti ear bleeding pretty much. 404 00:23:43,520 --> 00:23:46,879 Speaker 1: Um and with the war effort, Like again, it's just 405 00:23:46,960 --> 00:23:48,760 Speaker 1: all these things are kind of happening at once. So 406 00:23:48,840 --> 00:23:51,320 Speaker 1: it was sort of just kind of sneaking through the 407 00:23:51,359 --> 00:23:54,720 Speaker 1: back door and like the worst way you could ever imagine. 408 00:23:55,520 --> 00:23:58,880 Speaker 1: So this is all going on. Uh, the reason we 409 00:23:58,880 --> 00:24:01,000 Speaker 1: we do know so much of aut it and I 410 00:24:01,040 --> 00:24:03,239 Speaker 1: know that it hasn't gotten all the attention of like 411 00:24:03,520 --> 00:24:06,400 Speaker 1: the plague and things like that, but in the medical 412 00:24:06,400 --> 00:24:09,480 Speaker 1: community it has they weren't like, all right, well that 413 00:24:09,520 --> 00:24:12,640 Speaker 1: went away. That's great. Like here in modern times, like 414 00:24:12,680 --> 00:24:16,399 Speaker 1: starting in the nineteen thirties, they started, you know, on 415 00:24:16,440 --> 00:24:20,480 Speaker 1: the download collecting blood samples and examining tissue slides and 416 00:24:20,520 --> 00:24:23,440 Speaker 1: getting you know, either from from people who had died, 417 00:24:23,520 --> 00:24:25,920 Speaker 1: like from the bodies, or from people that were still 418 00:24:25,960 --> 00:24:28,720 Speaker 1: alive that survived it. And they have really been doing 419 00:24:28,760 --> 00:24:32,760 Speaker 1: all this kind of cool like almost like a criminal 420 00:24:32,800 --> 00:24:36,760 Speaker 1: case like this research to try and learn because you 421 00:24:36,800 --> 00:24:38,639 Speaker 1: know you can only you don't want something like this 422 00:24:38,680 --> 00:24:41,000 Speaker 1: to ever happen again, right right, Well that one of 423 00:24:41,040 --> 00:24:44,440 Speaker 1: the scary things, Chuck, is that like most people who 424 00:24:44,480 --> 00:24:48,240 Speaker 1: are in public health and epidemiology and virology say like, yeah, 425 00:24:48,280 --> 00:24:51,080 Speaker 1: this could totally happen again, and it would probably be 426 00:24:51,160 --> 00:24:56,680 Speaker 1: way worse because of our connectibility, how connected we are. Um, 427 00:24:57,119 --> 00:25:00,280 Speaker 1: we probably have a greater chance of containing it, just 428 00:25:00,320 --> 00:25:03,320 Speaker 1: because of the the advances in public health that we've 429 00:25:03,359 --> 00:25:08,080 Speaker 1: we've undertaken thus far. Um. But the it could, it 430 00:25:08,119 --> 00:25:11,160 Speaker 1: could happen. I actually talk about this a lot, including 431 00:25:11,200 --> 00:25:14,480 Speaker 1: the Spanish flu and um this one biotech episode of 432 00:25:14,520 --> 00:25:16,959 Speaker 1: the End of the World, and it it from what 433 00:25:17,080 --> 00:25:20,320 Speaker 1: I saw it, it could very well happen just about 434 00:25:20,359 --> 00:25:22,960 Speaker 1: any time. Well this other part I don't quite get, 435 00:25:23,200 --> 00:25:27,320 Speaker 1: Um does it does this strain still exist or not? 436 00:25:27,359 --> 00:25:30,199 Speaker 1: Because it was a little confusing in that part. Okay, 437 00:25:30,520 --> 00:25:35,000 Speaker 1: get this too. It had gone totally extinct it it 438 00:25:35,040 --> 00:25:37,720 Speaker 1: had come and gone as we'll see it just basically, 439 00:25:37,960 --> 00:25:41,680 Speaker 1: maybe it burned through everybody, It killed off everybody so 440 00:25:41,760 --> 00:25:44,520 Speaker 1: fast that it couldn't spread any longer. And like you said, 441 00:25:44,800 --> 00:25:50,000 Speaker 1: flu viruses mutate like very frequently, so also our body. 442 00:25:50,080 --> 00:25:53,639 Speaker 1: Like if you survive a viral infection, you typically are 443 00:25:53,720 --> 00:25:55,960 Speaker 1: conferred immunity for the rest of your life. So the 444 00:25:56,000 --> 00:25:57,879 Speaker 1: people who are left, we're not going to catch the 445 00:25:57,960 --> 00:26:02,879 Speaker 1: Spanish flu again. Okay. So um. And it had run, 446 00:26:02,920 --> 00:26:05,439 Speaker 1: it run its course, gone extincts so much so that 447 00:26:05,720 --> 00:26:08,119 Speaker 1: not even just the strain of flu, but all H 448 00:26:08,119 --> 00:26:11,720 Speaker 1: one N one flus left human circulation. By the fifties 449 00:26:11,960 --> 00:26:16,040 Speaker 1: nine fifties. Somebody, this dude named Johann Houlton, who was 450 00:26:16,040 --> 00:26:18,879 Speaker 1: a microbiologist in the fifties and then later on in 451 00:26:18,880 --> 00:26:22,600 Speaker 1: the nineties, he went to a little town called Brevig, Mission, Alaska, 452 00:26:23,359 --> 00:26:26,640 Speaker 1: and he dug up the corpse of a Native American 453 00:26:26,720 --> 00:26:29,600 Speaker 1: woman and an upac woman who had died and who 454 00:26:29,640 --> 00:26:32,719 Speaker 1: had been buried in a mass grave from the Spanish flu, 455 00:26:32,800 --> 00:26:35,560 Speaker 1: and took samples of her lung tissue and took it 456 00:26:35,560 --> 00:26:39,200 Speaker 1: back to another microbiologist whose name I cannot remember, who 457 00:26:39,560 --> 00:26:44,080 Speaker 1: basically synthesized the genome of it. Okay, great, we understand 458 00:26:44,080 --> 00:26:46,840 Speaker 1: it genetically, we've got it. No, they went one step 459 00:26:46,880 --> 00:26:51,440 Speaker 1: further and actually created the Spanish flu virus again, resurrected 460 00:26:51,440 --> 00:26:54,400 Speaker 1: it from extinction. And yes, the Spanish flu is still 461 00:26:54,400 --> 00:26:57,239 Speaker 1: around because humans brought it back to life. All right, 462 00:26:57,240 --> 00:27:01,000 Speaker 1: Well that makes more sense now, I mean in one way, right, 463 00:27:01,160 --> 00:27:04,160 Speaker 1: Not not that it's a great thing to do, but well, 464 00:27:04,160 --> 00:27:06,520 Speaker 1: what's funny is like, if you depending on what you read, 465 00:27:06,560 --> 00:27:08,920 Speaker 1: like if you read like a popular mechanics article about 466 00:27:08,960 --> 00:27:11,679 Speaker 1: it's it's like, this is an amazing, great achievement. But 467 00:27:12,000 --> 00:27:14,480 Speaker 1: for my money, it was a terrible achievement. I don't 468 00:27:14,640 --> 00:27:16,680 Speaker 1: I really don't think we should have taken that extra 469 00:27:16,760 --> 00:27:20,639 Speaker 1: step and resynthesized it. Although admittedly we have learned a 470 00:27:20,680 --> 00:27:23,960 Speaker 1: lot about the Spanish flu from that process, but I 471 00:27:24,000 --> 00:27:26,719 Speaker 1: think there you could have still stopped short from resurrecting 472 00:27:26,760 --> 00:27:30,520 Speaker 1: it from Extinctioneez. Yeah, alright, So we talked a lot 473 00:27:30,520 --> 00:27:34,520 Speaker 1: about the three waves, which is really unusual, uh for 474 00:27:34,640 --> 00:27:38,640 Speaker 1: an epidemic like this. Um it, I mean it had 475 00:27:38,680 --> 00:27:44,080 Speaker 1: happened before. I'm thinking the sixteen hundreds and eighteen hundreds. Um, 476 00:27:44,119 --> 00:27:47,080 Speaker 1: but this was a whole different sort of beast. So 477 00:27:47,119 --> 00:27:52,520 Speaker 1: that first wave hit in the spring of nineteen eighteen, uh, 478 00:27:52,640 --> 00:27:56,200 Speaker 1: specifically like March and April. It was in the US, 479 00:27:56,359 --> 00:27:59,120 Speaker 1: it was in Europe, and it was in Asia. So 480 00:27:59,240 --> 00:28:02,080 Speaker 1: it's already I mean, that's some serious ground that it's 481 00:28:02,119 --> 00:28:07,360 Speaker 1: covered already, thanks again to World War One. Yeah, exactly. So, Uh, 482 00:28:07,400 --> 00:28:12,280 Speaker 1: this this one wasn't like super super deadly. Uh. Military 483 00:28:12,280 --> 00:28:15,119 Speaker 1: bases and camps was where it was mostly found. But 484 00:28:15,200 --> 00:28:17,920 Speaker 1: again with these troops moving everywhere, it was really kind 485 00:28:17,920 --> 00:28:20,920 Speaker 1: of moving fast. The second wave was the really really 486 00:28:20,960 --> 00:28:23,320 Speaker 1: deadly one, and that's one where I mentioned it. Over 487 00:28:23,359 --> 00:28:26,720 Speaker 1: about a four week I'm sorry, four months, sixteen week period, 488 00:28:27,240 --> 00:28:30,320 Speaker 1: it did most of the killing, uh that fall, with 489 00:28:30,359 --> 00:28:33,680 Speaker 1: October being the most deadly month in the United States 490 00:28:33,840 --> 00:28:36,160 Speaker 1: in the history of the United States. To this day, 491 00:28:36,240 --> 00:28:40,000 Speaker 1: it's the deadliest month. A hundred and ninety five thousand 492 00:28:40,320 --> 00:28:44,840 Speaker 1: people died in America from the flu in October of nineteen. Yeah, 493 00:28:44,880 --> 00:28:48,560 Speaker 1: like literally everyone was touched in their family, like there's 494 00:28:48,560 --> 00:28:50,680 Speaker 1: no way to escape it almost at that point. Yeah, 495 00:28:50,720 --> 00:28:52,800 Speaker 1: and I mean like we'll talk about it later, but 496 00:28:52,880 --> 00:28:56,240 Speaker 1: like this is that's how a society can can crumble. 497 00:28:56,280 --> 00:28:59,120 Speaker 1: That's how like a small community can crumble when that 498 00:28:59,160 --> 00:29:02,880 Speaker 1: many people die, I that quickly, Like things, things just 499 00:29:03,040 --> 00:29:06,560 Speaker 1: get out of whack for to say the least. Yeah, 500 00:29:06,600 --> 00:29:08,840 Speaker 1: So this one. They think that the reason this one 501 00:29:08,880 --> 00:29:11,440 Speaker 1: came back so deadly was because it mutated over that 502 00:29:11,480 --> 00:29:15,120 Speaker 1: summer and came back even more lethal than it was before. 503 00:29:16,160 --> 00:29:19,560 Speaker 1: And uh, some people who had been infected by that 504 00:29:19,640 --> 00:29:23,040 Speaker 1: first wave did have some immunity on that second wave, 505 00:29:23,320 --> 00:29:28,920 Speaker 1: which is pretty interesting. Yeah. Yeah, I mean I guess 506 00:29:28,920 --> 00:29:32,040 Speaker 1: if you survived the first wave, you would, especially if 507 00:29:32,080 --> 00:29:34,760 Speaker 1: it was just a slightly mutated version of the exact 508 00:29:34,840 --> 00:29:36,640 Speaker 1: same strain. I could see that. Well. That's what I 509 00:29:36,640 --> 00:29:38,680 Speaker 1: wondered though, is like how much does something have to 510 00:29:38,760 --> 00:29:42,480 Speaker 1: mutate before that immunity doesn't count? Well, I don't know, 511 00:29:42,680 --> 00:29:47,520 Speaker 1: we should say chuck two um, Like we're speculating here 512 00:29:47,640 --> 00:29:50,000 Speaker 1: that the first wave and the second wave were the 513 00:29:50,040 --> 00:29:53,440 Speaker 1: same strain of fluid um. That's never been proven in 514 00:29:53,760 --> 00:29:57,400 Speaker 1: the same the like fluid samples and the tissue samples 515 00:29:57,440 --> 00:29:59,880 Speaker 1: that you said they took back in the thirties, those 516 00:30:00,000 --> 00:30:02,960 Speaker 1: were all from second wave victims and survivors. We don't 517 00:30:02,960 --> 00:30:05,720 Speaker 1: have any samples from the first and maybe not even 518 00:30:05,720 --> 00:30:08,960 Speaker 1: the third wave, but definitely the bulk, if not all, 519 00:30:08,960 --> 00:30:11,320 Speaker 1: of the samples we have, and so all the studying 520 00:30:11,360 --> 00:30:13,760 Speaker 1: we've done has been from that second most deadly wave. 521 00:30:14,000 --> 00:30:15,960 Speaker 1: So they may not have been the exact same strain, 522 00:30:16,200 --> 00:30:18,200 Speaker 1: but it is weird that people would have had an 523 00:30:18,200 --> 00:30:21,360 Speaker 1: immunity to that second wave if they've been through the first. Yeah, 524 00:30:21,360 --> 00:30:23,280 Speaker 1: I think it was connected for sure. I do too. 525 00:30:23,640 --> 00:30:27,120 Speaker 1: So third wave hits after a short period of time. 526 00:30:27,680 --> 00:30:31,880 Speaker 1: This was less widespread, not as severe as the deadly 527 00:30:31,920 --> 00:30:34,640 Speaker 1: second wave, but worse than that first wave, which was 528 00:30:34,680 --> 00:30:39,480 Speaker 1: not so deadly. And um, this was mainly through like 529 00:30:39,560 --> 00:30:43,840 Speaker 1: the beginning of nineteen nineteen through April of nineteen nineteen. Yeah. 530 00:30:44,000 --> 00:30:46,920 Speaker 1: Ed points out that, like, it depends on where you're 531 00:30:46,920 --> 00:30:52,280 Speaker 1: talking about, but it was much more sporadic geographically. It 532 00:30:52,400 --> 00:30:55,480 Speaker 1: wasn't like all from from January to April the whole 533 00:30:55,480 --> 00:30:58,120 Speaker 1: world didn't have the flu It's just around the world 534 00:30:58,240 --> 00:31:01,680 Speaker 1: that that that flew outbreak is still going on, but 535 00:31:01,840 --> 00:31:05,600 Speaker 1: not everywhere. Should we take another break? Let's all right, 536 00:31:05,600 --> 00:31:09,080 Speaker 1: We're gonna take another quickie and then talk about kind 537 00:31:09,080 --> 00:31:13,080 Speaker 1: of what also made this especially deadly. Right after this, 538 00:31:43,600 --> 00:31:46,640 Speaker 1: all right, we're going to talk about what made this 539 00:31:46,760 --> 00:31:49,720 Speaker 1: so deadly in addition to the war going on at 540 00:31:49,720 --> 00:31:53,160 Speaker 1: the same time, there was some other weird, weird factors 541 00:31:53,160 --> 00:31:57,680 Speaker 1: and characteristics of this this flu. Right, we mentioned young 542 00:31:57,720 --> 00:32:01,160 Speaker 1: and healthy people already, but it bear saying again. The 543 00:32:01,240 --> 00:32:03,880 Speaker 1: death rate for people between twenty five and thirty four 544 00:32:04,320 --> 00:32:09,160 Speaker 1: was really really high. And conversely, uh, children were infected 545 00:32:09,160 --> 00:32:12,240 Speaker 1: at a high high rate. It's not like they weren't 546 00:32:12,240 --> 00:32:14,960 Speaker 1: getting it, but they had a low mortality rate. And 547 00:32:15,080 --> 00:32:18,360 Speaker 1: nothing about that makes sense. Yeah, So for for the 548 00:32:18,400 --> 00:32:21,160 Speaker 1: twenty five to thirty four age group, who you would 549 00:32:21,160 --> 00:32:25,120 Speaker 1: think would probably be the the the um, the highest 550 00:32:25,120 --> 00:32:29,320 Speaker 1: group of survivors, they had a two times higher death 551 00:32:29,440 --> 00:32:32,320 Speaker 1: rate than the forty five to sixty four age group 552 00:32:32,360 --> 00:32:36,160 Speaker 1: during the Spanish flu, which was ancient. Yeah yeah, really, 553 00:32:36,160 --> 00:32:39,200 Speaker 1: I mean, if the average life expectancy normally was something 554 00:32:39,600 --> 00:32:42,960 Speaker 1: in the forties to the fifties, that is kind of ancient. Actually, 555 00:32:43,040 --> 00:32:46,360 Speaker 1: I would be on death's door in n Yeah, and 556 00:32:46,360 --> 00:32:51,440 Speaker 1: and just like with a just like with a typical 557 00:32:51,480 --> 00:32:55,640 Speaker 1: flu infants and the very elderly and people with compromised 558 00:32:55,640 --> 00:33:00,120 Speaker 1: immune systems. Uh, they died in the greatest numbers. But 559 00:33:00,240 --> 00:33:02,440 Speaker 1: when you look at that graph that there's a huge 560 00:33:02,520 --> 00:33:07,920 Speaker 1: spike among like young healthy adults, UM, where they're normally 561 00:33:07,960 --> 00:33:10,280 Speaker 1: shouldn't be. And there's a lot of theories about why 562 00:33:10,320 --> 00:33:16,040 Speaker 1: that happened. UM. One reason is because it was spread 563 00:33:16,080 --> 00:33:18,960 Speaker 1: among soldiers, and those soldiers were starting to come home 564 00:33:19,000 --> 00:33:20,640 Speaker 1: at the time, so they spread it to their wives 565 00:33:20,640 --> 00:33:23,240 Speaker 1: who were about the same age. Uh, they spread it 566 00:33:23,280 --> 00:33:26,200 Speaker 1: to their children, they spread it to their friends, So 567 00:33:26,560 --> 00:33:30,160 Speaker 1: it definitely was hanging around a specific age group. But 568 00:33:30,240 --> 00:33:32,760 Speaker 1: they also think that there was a large amount of 569 00:33:32,760 --> 00:33:36,240 Speaker 1: deaths and that this also accounts for the pneumonia deaths 570 00:33:36,280 --> 00:33:39,479 Speaker 1: that killed so many people. UM something called the pyto 571 00:33:39,560 --> 00:33:44,920 Speaker 1: keine storm, which sounds like terrifying to me. Yeah, that 572 00:33:45,040 --> 00:33:47,880 Speaker 1: is uh, when you have such an overstimulation of immune 573 00:33:47,880 --> 00:33:52,000 Speaker 1: cells that it just generates. Basically, you you drown in 574 00:33:52,040 --> 00:33:55,680 Speaker 1: your own flegm because of an over stimulation of immune cells, 575 00:33:55,720 --> 00:33:58,560 Speaker 1: creating so much fluid, like your immune system is so 576 00:33:58,640 --> 00:34:02,560 Speaker 1: good and so healthy it kills you. Your immune response 577 00:34:02,640 --> 00:34:06,080 Speaker 1: is so massive. And this is that they're just starting 578 00:34:06,120 --> 00:34:10,319 Speaker 1: to understand cytokine storms. Cytokines activate immune cells, and they 579 00:34:10,360 --> 00:34:14,000 Speaker 1: that's what causes the inflammation, the the the water on 580 00:34:14,040 --> 00:34:16,799 Speaker 1: the lungs, which then gets infected by bacteria, which gives 581 00:34:16,800 --> 00:34:20,279 Speaker 1: you pneumonia, which can kill you. Um. They they're just 582 00:34:20,320 --> 00:34:22,960 Speaker 1: starting to understand this, but they have linked it to 583 00:34:23,080 --> 00:34:26,040 Speaker 1: the appearance of new flues that people haven't been exposed 584 00:34:26,040 --> 00:34:29,400 Speaker 1: to before. And this is probably the number one reason 585 00:34:29,760 --> 00:34:34,280 Speaker 1: why people UM who were young and healthy adults died 586 00:34:34,360 --> 00:34:38,560 Speaker 1: in such numbers because their age group hadn't been exposed 587 00:34:38,600 --> 00:34:41,799 Speaker 1: to any H one N one flu before. So not 588 00:34:41,920 --> 00:34:44,640 Speaker 1: only was this a new h new strain of H 589 00:34:44,680 --> 00:34:47,600 Speaker 1: O and N one to their bodies, this is a 590 00:34:47,640 --> 00:34:50,480 Speaker 1: brand new type of virus that they've never been exposed to. 591 00:34:50,920 --> 00:34:56,000 Speaker 1: And so people whose immune systems were um overamped died 592 00:34:56,080 --> 00:35:00,600 Speaker 1: from these cytokine storms. They think, Man, Another usual thing 593 00:35:00,640 --> 00:35:04,400 Speaker 1: was how fast it killed you. U. There were cases 594 00:35:04,920 --> 00:35:08,800 Speaker 1: where you would literally say, I'm not feeling so good 595 00:35:08,880 --> 00:35:11,759 Speaker 1: and then twelve hours later you were dead. Can you 596 00:35:11,800 --> 00:35:16,960 Speaker 1: believe that? Yeah, it's victims died very very fast, um, 597 00:35:17,000 --> 00:35:21,319 Speaker 1: which you know, when people are dying this quickly, it 598 00:35:21,400 --> 00:35:25,279 Speaker 1: just compounds. And then you've got like hospitals and overflowing 599 00:35:25,320 --> 00:35:27,759 Speaker 1: with people, and then you can't care for them, and 600 00:35:27,800 --> 00:35:31,480 Speaker 1: then people being turned away because they're too full, and 601 00:35:31,520 --> 00:35:34,359 Speaker 1: then they spread it more. And I mean there were 602 00:35:34,360 --> 00:35:37,000 Speaker 1: reports of people toe tagging people that were still alive. 603 00:35:37,760 --> 00:35:40,120 Speaker 1: They just knew that they were going to be dead soon. 604 00:35:40,400 --> 00:35:44,360 Speaker 1: Did you see that American Experience documentary. It was really tough, 605 00:35:44,680 --> 00:35:47,960 Speaker 1: like what the apparently bedside manners just developed in the 606 00:35:48,040 --> 00:35:51,879 Speaker 1: last couple of decades. Because but did it well, yeah, 607 00:35:51,880 --> 00:35:54,320 Speaker 1: that's a good question. But I mean, can you imagine 608 00:35:54,360 --> 00:35:57,200 Speaker 1: going to the doctrine, the doctor saying like, better get 609 00:35:57,239 --> 00:36:00,879 Speaker 1: in line for a casket. Son. Yeah, it's of year old. Yeah, 610 00:36:00,920 --> 00:36:03,000 Speaker 1: we're telling your twelve year old that you just punched 611 00:36:03,040 --> 00:36:05,960 Speaker 1: that doctor in the mouth or putting a toe tag 612 00:36:06,000 --> 00:36:09,640 Speaker 1: on a live person. That's just nuts. But that's that's 613 00:36:09,800 --> 00:36:13,279 Speaker 1: there's verifiable reports that they did this. Of course back then, 614 00:36:13,280 --> 00:36:15,360 Speaker 1: if you were twelve, you've you've seen a lot of 615 00:36:15,400 --> 00:36:19,040 Speaker 1: life kid here middle eight, you you you've had two 616 00:36:19,160 --> 00:36:23,160 Speaker 1: full careers, right, you retired from coal mining at seven, 617 00:36:23,360 --> 00:36:25,880 Speaker 1: but get yourself fitted for that casket because you're not 618 00:36:25,880 --> 00:36:27,520 Speaker 1: going to live to see thirty like your old man. 619 00:36:27,880 --> 00:36:30,480 Speaker 1: And here's the lollipop. So sad. I know we're making 620 00:36:30,480 --> 00:36:32,200 Speaker 1: fun of this, but that's the only way I can 621 00:36:32,200 --> 00:36:36,919 Speaker 1: get through it. Another thing that it did was, um, well, 622 00:36:36,960 --> 00:36:38,560 Speaker 1: we've we've already kind of hit on this a lot, 623 00:36:38,640 --> 00:36:43,239 Speaker 1: but how far, how quickly it went so far? Uh 624 00:36:43,280 --> 00:36:46,640 Speaker 1: And again, largely because of this war and because it 625 00:36:46,719 --> 00:36:51,400 Speaker 1: was it was attacking people so violently and quickly like US, 626 00:36:51,440 --> 00:36:54,000 Speaker 1: towns in the United States tried to quarantine themselves, but 627 00:36:54,400 --> 00:36:56,760 Speaker 1: it was just too late. Like it was, you couldn't 628 00:36:56,760 --> 00:36:59,279 Speaker 1: stem that tied at that point, you couldn't. There was 629 00:36:59,320 --> 00:37:02,279 Speaker 1: a guy on the American Experienced documentaries who lived through 630 00:37:02,320 --> 00:37:04,960 Speaker 1: it as a boy, and he was saying, like it was, 631 00:37:05,120 --> 00:37:06,840 Speaker 1: it was coming our way. It was coming down the 632 00:37:06,920 --> 00:37:09,400 Speaker 1: highway toward US. Just town after town would get his 633 00:37:09,440 --> 00:37:14,120 Speaker 1: flu outbreaks, and his town tried to quarantine themselves, but 634 00:37:14,200 --> 00:37:16,920 Speaker 1: the mailman brought it in. And you know, if it's 635 00:37:16,960 --> 00:37:18,759 Speaker 1: not the mailman, it's gonna be somebody else. If you 636 00:37:18,800 --> 00:37:21,719 Speaker 1: have a soldier returning from home from Europe, you're not 637 00:37:21,719 --> 00:37:24,279 Speaker 1: gonna be like, you can't come home yet. We gotta 638 00:37:24,280 --> 00:37:27,759 Speaker 1: wait till this this potentially never ending flu epidemic goes 639 00:37:27,800 --> 00:37:30,120 Speaker 1: away before you can come back home. Like there's just 640 00:37:30,680 --> 00:37:32,600 Speaker 1: some way it's going to get through. And it got 641 00:37:32,640 --> 00:37:38,880 Speaker 1: through apparently everywhere except New Caledonia and American Samoa. Yeah. Um. 642 00:37:39,040 --> 00:37:42,279 Speaker 1: Another thing, another characteristic of it was the symptoms that 643 00:37:42,400 --> 00:37:46,160 Speaker 1: had so like, in addition to bleeding out of your ears, 644 00:37:46,880 --> 00:37:50,239 Speaker 1: you would get mahogany cheeks, these weird brown spots on 645 00:37:50,320 --> 00:37:54,400 Speaker 1: your cheekbones. You would turn blue because your your lungs 646 00:37:54,400 --> 00:37:57,520 Speaker 1: were not oxygen eating the blood nearly enough, so your 647 00:37:57,560 --> 00:38:01,399 Speaker 1: extremities and your face and lips would turn blue. Um. You. 648 00:38:02,000 --> 00:38:04,920 Speaker 1: There was a nurse in that documentary that said you 649 00:38:05,040 --> 00:38:07,720 Speaker 1: needed to basically be on guard at all times because 650 00:38:07,960 --> 00:38:12,120 Speaker 1: people would shoot blood out of their nose across the 651 00:38:12,200 --> 00:38:14,640 Speaker 1: room and like you would just have to step out 652 00:38:14,640 --> 00:38:17,399 Speaker 1: of the way to not get splattered by it. Um. 653 00:38:18,800 --> 00:38:22,320 Speaker 1: Like people would scream when they were touched even lightly. 654 00:38:22,760 --> 00:38:28,440 Speaker 1: It was just an astoundingly bad flu. There was vomiting, nausea, 655 00:38:29,000 --> 00:38:34,319 Speaker 1: um like, delirium, just every every horrible symptom you can 656 00:38:34,360 --> 00:38:37,560 Speaker 1: think of. People basically had and this is like if 657 00:38:37,600 --> 00:38:39,200 Speaker 1: you're a doctor at the time, you're not like, oh, 658 00:38:39,239 --> 00:38:41,560 Speaker 1: this is the flu. You were like, what is this, 659 00:38:41,680 --> 00:38:44,680 Speaker 1: I've never seen anything like this before. Well, and again 660 00:38:44,719 --> 00:38:47,800 Speaker 1: that led to it getting even worse because of the 661 00:38:47,840 --> 00:38:51,400 Speaker 1: confusion again over symptoms. How slow they reacted because of 662 00:38:51,400 --> 00:38:55,080 Speaker 1: the war, Like it's really hard to imagine a pandemic 663 00:38:55,600 --> 00:38:59,640 Speaker 1: outbreak coinciding with the World War. Yeah, like the likes 664 00:38:59,640 --> 00:39:01,480 Speaker 1: of which the war the world had never seen at 665 00:39:01,480 --> 00:39:04,480 Speaker 1: that point. Yeah, you know, and they said that, you know, 666 00:39:04,920 --> 00:39:08,120 Speaker 1: people had room to really focus on one thing, and 667 00:39:08,160 --> 00:39:10,520 Speaker 1: they had to choose between the war and the flu pandemic, 668 00:39:10,560 --> 00:39:12,799 Speaker 1: and they chose the war instead. Well, because it was 669 00:39:12,840 --> 00:39:14,279 Speaker 1: also a time I mean, not to make two light 670 00:39:14,360 --> 00:39:16,440 Speaker 1: of it, but back then it was when you know, 671 00:39:17,560 --> 00:39:20,520 Speaker 1: like you're not really sick, like pull yourself up by 672 00:39:20,560 --> 00:39:23,359 Speaker 1: your bootstraps and get to work, right, you know, people 673 00:39:23,560 --> 00:39:27,040 Speaker 1: dying over there. People didn't have the most sympathy for 674 00:39:27,040 --> 00:39:30,080 Speaker 1: for you know, sickness like this, get yourself fitted for 675 00:39:30,080 --> 00:39:34,000 Speaker 1: a cast, get stuff complaining. So eventually they did, but 676 00:39:34,040 --> 00:39:37,600 Speaker 1: it was just that slow slowness to react that that 677 00:39:37,719 --> 00:39:40,799 Speaker 1: made it such a health crisis, especially in the US. Yeah, 678 00:39:40,800 --> 00:39:43,000 Speaker 1: it's not like they didn't know that there was such 679 00:39:43,040 --> 00:39:45,720 Speaker 1: thing as infectious disease, and that if you banned public 680 00:39:45,760 --> 00:39:48,080 Speaker 1: gatherings and said no, you you know, we got to 681 00:39:48,080 --> 00:39:50,919 Speaker 1: close these movie theaters or these bars, or not hold 682 00:39:50,960 --> 00:39:53,799 Speaker 1: these parades, that it would have a positive effect on 683 00:39:53,840 --> 00:39:58,160 Speaker 1: public health. But they chose willfully, uh, the people in 684 00:39:58,239 --> 00:40:01,320 Speaker 1: charge chose not to out of a sense of patriotism 685 00:40:01,360 --> 00:40:04,920 Speaker 1: and nationalism and um the idea that you didn't want 686 00:40:04,960 --> 00:40:08,319 Speaker 1: to have any impact on morale. That public health commissioners 687 00:40:08,360 --> 00:40:11,759 Speaker 1: around the country were just ignoring it, and in in 688 00:40:12,000 --> 00:40:15,040 Speaker 1: cases where they weren't ignoring it, they were outright downplaying 689 00:40:15,080 --> 00:40:17,640 Speaker 1: it in the press, saying this is not this is 690 00:40:17,680 --> 00:40:20,520 Speaker 1: not a thing. It's fine, like any any reports you're 691 00:40:20,560 --> 00:40:24,000 Speaker 1: hearing are overblown. And there was one commissioner in particular, 692 00:40:24,160 --> 00:40:28,640 Speaker 1: guy named Wilmer Krussen, who was the health commissioner of Philadelphia. 693 00:40:30,080 --> 00:40:32,800 Speaker 1: Hard They got hit the worst out of any American city, 694 00:40:32,800 --> 00:40:35,040 Speaker 1: and it was because of this guy and the moves 695 00:40:35,120 --> 00:40:37,279 Speaker 1: that he made, and one of the big ones, one 696 00:40:37,280 --> 00:40:40,080 Speaker 1: of the biggest mistakes he made, knowing full well that 697 00:40:40,120 --> 00:40:42,600 Speaker 1: there was a flu pandemic going on in his city, 698 00:40:42,840 --> 00:40:46,480 Speaker 1: he allowed a Liberty Parade to take place in Philadelphia 699 00:40:46,520 --> 00:40:51,280 Speaker 1: in September late September um, where two hundred thousand people 700 00:40:51,560 --> 00:40:54,239 Speaker 1: showed up to the parade, and within a few days 701 00:40:54,239 --> 00:40:59,080 Speaker 1: Philadelphia had it worse than anybody. In one day, seven 702 00:40:59,320 --> 00:41:03,000 Speaker 1: d fifteen time people died in Philadelphia and one day 703 00:41:03,239 --> 00:41:07,040 Speaker 1: within a week or two of this parade taking place, 704 00:41:07,080 --> 00:41:10,200 Speaker 1: like the parade was, was you know, moment zero for 705 00:41:10,280 --> 00:41:13,400 Speaker 1: the real spread of the pandemic in Philadelphia. And it 706 00:41:13,480 --> 00:41:16,480 Speaker 1: was this guy's fault. Yeah. That and with his declaration 707 00:41:18,760 --> 00:41:23,319 Speaker 1: a virus and every cheese steak, I don't know, it 708 00:41:23,400 --> 00:41:25,719 Speaker 1: depends on the virus. I might still eat the cheese 709 00:41:25,760 --> 00:41:27,840 Speaker 1: steak to tell you that. Oh man, I love a 710 00:41:27,840 --> 00:41:29,880 Speaker 1: good cheese steak. Oh yeah, it's hard to find him 711 00:41:29,880 --> 00:41:33,399 Speaker 1: in Atlanta. It really is pretty good. Ones. What he's, 712 00:41:33,440 --> 00:41:36,200 Speaker 1: of course, over near the park is kind of the 713 00:41:36,200 --> 00:41:38,799 Speaker 1: the old standard. Do you like it? Though? What he's 714 00:41:38,880 --> 00:41:42,600 Speaker 1: it's all right, I mean it's pretty traditionally Philly like, 715 00:41:42,960 --> 00:41:45,120 Speaker 1: is it. I thought they like left off the cheese 716 00:41:45,160 --> 00:41:49,800 Speaker 1: was and put on ketchup. Really they don't put on ketchup. 717 00:41:49,960 --> 00:41:52,319 Speaker 1: I think they do well. I just had one and 718 00:41:52,520 --> 00:41:55,120 Speaker 1: had no ketchup. On it. Well, maybe they changed the recipe, 719 00:41:55,160 --> 00:41:56,799 Speaker 1: because I swear to God that I've had one with 720 00:41:56,880 --> 00:42:00,440 Speaker 1: ketchupon it there really I know. Did you ask for 721 00:42:00,480 --> 00:42:03,600 Speaker 1: a bloody Oh yeah, that was the problem. I asked 722 00:42:03,600 --> 00:42:07,640 Speaker 1: for it with ketchup. They do. They do bastardize it 723 00:42:07,719 --> 00:42:11,840 Speaker 1: with the They have one version with bacon. Uh, that 724 00:42:12,000 --> 00:42:14,760 Speaker 1: is not as good as you would think, Like everything 725 00:42:14,840 --> 00:42:19,839 Speaker 1: isn't better with bacon. That's absolutely true because what they 726 00:42:19,840 --> 00:42:23,200 Speaker 1: do is a it's not like strips of bacon wedged 727 00:42:23,239 --> 00:42:26,480 Speaker 1: in the role. It's it's diced up and cooked with 728 00:42:26,520 --> 00:42:29,680 Speaker 1: the meat. And normally I would say like, oh man, 729 00:42:29,840 --> 00:42:31,640 Speaker 1: sign me up, but it's something about it just didn't 730 00:42:31,640 --> 00:42:34,719 Speaker 1: work here. Yeah, I think. Plus the fact that pigs 731 00:42:34,760 --> 00:42:38,520 Speaker 1: are smarter than dogs also makes makes things less good 732 00:42:38,520 --> 00:42:43,080 Speaker 1: with bacon sometimes too. What yeah, there's really smart, I know, 733 00:42:43,200 --> 00:42:47,160 Speaker 1: But well you gotta bring dogs into this. Have you 734 00:42:47,200 --> 00:42:51,759 Speaker 1: seen like that that peta ad it's like a pig. No, 735 00:42:52,200 --> 00:42:55,759 Speaker 1: it's a a labrador's body with the pig's head on it. 736 00:42:56,920 --> 00:42:58,960 Speaker 1: And it said like if if pigs looked like this, 737 00:42:59,000 --> 00:43:00,680 Speaker 1: would you eat them? Or so then they got a 738 00:43:00,760 --> 00:43:04,000 Speaker 1: bunch of a bunch of stuff for it. It's a 739 00:43:04,000 --> 00:43:08,000 Speaker 1: pretty weird looking at too. Yeah, I would say, so. Um, 740 00:43:08,040 --> 00:43:10,640 Speaker 1: all right, so let's let's talk about let's wrap this 741 00:43:10,680 --> 00:43:15,120 Speaker 1: puppy up, okay, and the legacy of of the pandemic 742 00:43:15,160 --> 00:43:18,440 Speaker 1: of nineteen eighteen, the Spanish flu also called the Spanish 743 00:43:18,560 --> 00:43:23,719 Speaker 1: Lady and the Blue Death, and I think Flanders disease 744 00:43:23,920 --> 00:43:28,520 Speaker 1: in Germany, Flanders. Not sure why. Maybe it started h 745 00:43:29,000 --> 00:43:32,320 Speaker 1: near a place called Flanders. Yeah, and in Belgium, I belief. 746 00:43:32,400 --> 00:43:35,200 Speaker 1: But that's I mean, that's a pretty long standing tradition 747 00:43:35,280 --> 00:43:37,360 Speaker 1: is blame some neighbor you don't really like for the 748 00:43:37,400 --> 00:43:40,400 Speaker 1: flu that's killing off your population. You know, well, this 749 00:43:40,440 --> 00:43:41,960 Speaker 1: was all blamed on Spain. They had nothing to do 750 00:43:42,000 --> 00:43:43,560 Speaker 1: with it. You don't want to call it like us 751 00:43:43,640 --> 00:43:46,960 Speaker 1: flu or anything now. So I want to say one 752 00:43:46,960 --> 00:43:48,960 Speaker 1: more thing though, Chuck. So we talked a little bit 753 00:43:49,000 --> 00:43:53,600 Speaker 1: about the um about the society breaking down, right, you 754 00:43:53,640 --> 00:43:56,200 Speaker 1: said that people ran out of caskets. I don't think 755 00:43:56,320 --> 00:43:58,600 Speaker 1: like we really got that across. Like, put yourself in 756 00:43:58,640 --> 00:44:01,440 Speaker 1: a mind where they're so many dead people all of 757 00:44:01,480 --> 00:44:04,719 Speaker 1: a sudden that you don't have any caskets to put 758 00:44:04,760 --> 00:44:07,400 Speaker 1: them in anymore. You have to wait for them to 759 00:44:07,400 --> 00:44:10,919 Speaker 1: to hurriedly build more caskets unless the people that build 760 00:44:10,920 --> 00:44:14,279 Speaker 1: the caskets are dead. Yeah, that's another real possibility to 761 00:44:14,680 --> 00:44:17,879 Speaker 1: like imagine building a casket, falling into it from the flu, 762 00:44:18,160 --> 00:44:20,680 Speaker 1: and well they just leave you in there because you 763 00:44:20,840 --> 00:44:23,360 Speaker 1: are dead. Now. Well, but that's what I mean, Like 764 00:44:23,400 --> 00:44:27,319 Speaker 1: we're kind of kidding. But when I said it altered humanity, 765 00:44:27,480 --> 00:44:30,440 Speaker 1: Like in a small town, what if the doctors died 766 00:44:30,680 --> 00:44:34,560 Speaker 1: and the teachers died, and then there were towns that 767 00:44:34,640 --> 00:44:38,080 Speaker 1: may have survived, but they had no infrastructure because there 768 00:44:38,080 --> 00:44:41,480 Speaker 1: were no cops or doctors or teachers or you know, police, 769 00:44:41,640 --> 00:44:44,359 Speaker 1: like you know, it was it was killing everybody. So yeah, 770 00:44:44,640 --> 00:44:47,000 Speaker 1: so you could just be left, you know, with a 771 00:44:47,000 --> 00:44:50,480 Speaker 1: bunch of twelve year olds, right, yeah, yeah, it's children. 772 00:44:50,480 --> 00:44:52,680 Speaker 1: Are the corn up in there? It kind of was. 773 00:44:52,840 --> 00:44:54,560 Speaker 1: I'm sure that happened to a lot of towns that 774 00:44:54,600 --> 00:44:57,960 Speaker 1: are now run by children as out of custom. Maybe, 775 00:44:57,960 --> 00:45:01,080 Speaker 1: so that's probably where it started. But but the other 776 00:45:01,120 --> 00:45:03,759 Speaker 1: thing that that was a casualty of the Spanish flu, 777 00:45:03,920 --> 00:45:08,000 Speaker 1: especially in small towns, was like civic life because if 778 00:45:08,040 --> 00:45:10,880 Speaker 1: you were healthy, you looked at other people on the 779 00:45:10,880 --> 00:45:13,200 Speaker 1: street with suspicion. If you went out at all. You 780 00:45:13,239 --> 00:45:15,360 Speaker 1: didn't stop and talk to people and say hi. Maybe 781 00:45:15,400 --> 00:45:17,520 Speaker 1: you didn't do all the things that keep like a 782 00:45:17,520 --> 00:45:21,040 Speaker 1: community glued together. And so communities started to fall apart. 783 00:45:21,320 --> 00:45:23,960 Speaker 1: And then when public officials finally did start to react, 784 00:45:24,200 --> 00:45:27,760 Speaker 1: they shut down schools, they shut down bars, they banned gathering. 785 00:45:27,840 --> 00:45:30,640 Speaker 1: Some towns banned funerals, like you couldn't have a funeral 786 00:45:30,680 --> 00:45:33,080 Speaker 1: for your your dear departed mother. You had to leave 787 00:45:33,080 --> 00:45:35,680 Speaker 1: her in a box on your porch for the undertakers 788 00:45:35,719 --> 00:45:38,400 Speaker 1: to come get on an open wagon, like it's the 789 00:45:39,239 --> 00:45:43,200 Speaker 1: medieval plague collectors, you know. I mean, this was nineteen eighteen. 790 00:45:43,719 --> 00:45:45,480 Speaker 1: I know that sounds like a long time ago. But 791 00:45:45,520 --> 00:45:49,520 Speaker 1: this wasn't the sixteenth century. No, no, So this is 792 00:45:49,680 --> 00:45:51,799 Speaker 1: this was going on, and at the same time, it 793 00:45:51,920 --> 00:45:57,400 Speaker 1: wasn't leaving a genuine, lasting national impression on America or 794 00:45:57,440 --> 00:45:59,640 Speaker 1: anywhere really in the world that I could see, which 795 00:45:59,640 --> 00:46:02,160 Speaker 1: is bizarre. Well, yeah, that's one of the weird things 796 00:46:02,200 --> 00:46:05,520 Speaker 1: about its legacy is and again we had to keep 797 00:46:05,520 --> 00:46:08,200 Speaker 1: hammering this home. But because of the war, it wasn't 798 00:46:08,239 --> 00:46:11,480 Speaker 1: like the Spanish flu went away, which was really weird. 799 00:46:11,520 --> 00:46:15,239 Speaker 1: It went away very much. Uh, kind of quickly and 800 00:46:15,239 --> 00:46:17,759 Speaker 1: no one really knew why. Um, but it's not like 801 00:46:17,840 --> 00:46:20,799 Speaker 1: that happened. And then they were like, all right, well man, 802 00:46:20,920 --> 00:46:23,799 Speaker 1: we really need to change public health policy, and we 803 00:46:23,880 --> 00:46:27,200 Speaker 1: really need to to get all these breakthroughs and sanitation 804 00:46:27,239 --> 00:46:30,359 Speaker 1: and vaccinations going and really really take care of things. 805 00:46:30,400 --> 00:46:32,359 Speaker 1: Now they kind of were just like, oh, well, thank 806 00:46:32,400 --> 00:46:35,040 Speaker 1: god that's gone, and it would be decades before they 807 00:46:35,280 --> 00:46:38,680 Speaker 1: made real changes in policy to to help prevent something 808 00:46:38,719 --> 00:46:41,080 Speaker 1: like this, which is bizarre because you would think, like, 809 00:46:41,200 --> 00:46:43,239 Speaker 1: you know, when something like that happened, it would have 810 00:46:43,280 --> 00:46:46,120 Speaker 1: that effect, but it didn't. It just didn't like there 811 00:46:46,120 --> 00:46:49,880 Speaker 1: were there were no teachable Oprah moments from it. It 812 00:46:49,960 --> 00:46:52,919 Speaker 1: was just like you said, everybody was glad it was gone. Yeah. 813 00:46:52,960 --> 00:46:55,520 Speaker 1: I thought the bit that Ed included about Woodrow Wilson 814 00:46:55,520 --> 00:46:59,359 Speaker 1: had I had heard this before. It was really interesting. Um. 815 00:46:59,400 --> 00:47:02,399 Speaker 1: He was was US president at the time. He got 816 00:47:02,440 --> 00:47:05,759 Speaker 1: the flu in January of nineteen nineteen. Obviously did not 817 00:47:05,840 --> 00:47:09,279 Speaker 1: die from it, but there are people and historians that 818 00:47:09,360 --> 00:47:13,520 Speaker 1: say that it altered him so much, um, that it 819 00:47:13,600 --> 00:47:17,560 Speaker 1: left him very paranoid, very secretive, and even caused him 820 00:47:17,600 --> 00:47:24,319 Speaker 1: to impose harsher reparation reparations on Germany uh in the 821 00:47:24,360 --> 00:47:28,400 Speaker 1: Treaty of Versailles, which basically crippled Germany, which led to 822 00:47:28,400 --> 00:47:31,120 Speaker 1: the right of the rise of Nazism and the Nazi Party, 823 00:47:31,520 --> 00:47:34,719 Speaker 1: which led to World War Two. So World War Two 824 00:47:34,800 --> 00:47:37,440 Speaker 1: may have never even happened. Who knows had it not 825 00:47:37,520 --> 00:47:40,760 Speaker 1: been for Woodrow Wilson being sick with the Spanish flu. 826 00:47:41,200 --> 00:47:43,480 Speaker 1: Maybe it's bizarre, it's a bit of a leap, but 827 00:47:43,520 --> 00:47:47,040 Speaker 1: I have other people I've heard that case made. I've 828 00:47:47,040 --> 00:47:49,280 Speaker 1: seen it too, that he he just kind of changed 829 00:47:49,800 --> 00:47:52,640 Speaker 1: and apparently took a completely different tack than he originally 830 00:47:52,680 --> 00:47:56,440 Speaker 1: had intended as reparations against Germany. Yeah, and in in 831 00:47:56,560 --> 00:47:58,960 Speaker 1: US towns, it wasn't. I mean, this was the time 832 00:47:59,000 --> 00:48:02,520 Speaker 1: when people opened up their door to a stranger if 833 00:48:02,640 --> 00:48:04,879 Speaker 1: and they were in need, and that really changed that. 834 00:48:05,040 --> 00:48:08,239 Speaker 1: Like people were, like you said, they not only were 835 00:48:08,239 --> 00:48:10,080 Speaker 1: they not hanging out on the street, but like people 836 00:48:10,120 --> 00:48:14,480 Speaker 1: were turning people away at gunpoint, and people were taking 837 00:48:14,480 --> 00:48:17,160 Speaker 1: their own lives and the lives of their family. It 838 00:48:17,200 --> 00:48:20,560 Speaker 1: was just like it was brutal. Yep, it was brutal. 839 00:48:20,680 --> 00:48:23,759 Speaker 1: And it's weird that it's not, you know, more recognized 840 00:48:23,800 --> 00:48:26,239 Speaker 1: than it is. But hopefully we just contributed it to 841 00:48:26,320 --> 00:48:29,400 Speaker 1: being remembered forever, that's right. But we now know today 842 00:48:29,960 --> 00:48:34,960 Speaker 1: because we have continued to study the flu of uh 843 00:48:35,000 --> 00:48:38,319 Speaker 1: really how a pandemic can play out. And it's not 844 00:48:38,400 --> 00:48:42,000 Speaker 1: like uh science has forgotten. They are still studying the 845 00:48:42,080 --> 00:48:44,359 Speaker 1: causes and the repercussions and what we can do better. 846 00:48:45,160 --> 00:48:49,040 Speaker 1: It's really interesting. Yeah, it's fascinating, is what it is. 847 00:48:49,120 --> 00:48:52,960 Speaker 1: By God, If you want to know more about Spanish flu, 848 00:48:53,080 --> 00:48:56,160 Speaker 1: there's a lot more to it. We talked about everything 849 00:48:56,200 --> 00:49:00,239 Speaker 1: we possibly could, but there's it's just big. So you 850 00:49:00,239 --> 00:49:02,719 Speaker 1: can go search for it in your handy search bar 851 00:49:02,800 --> 00:49:07,320 Speaker 1: of your handy UM search engine on your handy computer. 852 00:49:07,800 --> 00:49:13,600 Speaker 1: Do that. And since I said that, it's time for chuck. Oh, yes, 853 00:49:14,800 --> 00:49:31,759 Speaker 1: you say it? Okay, administrative details, all right, everybody, This 854 00:49:31,880 --> 00:49:37,040 Speaker 1: is the time of the show. Every quarter or so's 855 00:49:37,040 --> 00:49:42,520 Speaker 1: it quarterly? Roughly? Yeah? Definitely after um uh the holidays, 856 00:49:42,600 --> 00:49:45,200 Speaker 1: because we're thankful for everybody who thought of us over 857 00:49:45,239 --> 00:49:47,560 Speaker 1: the holidays, that's right. So we want to begin by 858 00:49:47,560 --> 00:49:49,680 Speaker 1: saying we got a lot of Christmas cards and letters, 859 00:49:50,640 --> 00:49:55,440 Speaker 1: and rather than list all of those individually like we should, 860 00:49:56,440 --> 00:49:58,680 Speaker 1: we're just gonna give a blanket thank you for Christmas 861 00:49:58,719 --> 00:50:02,359 Speaker 1: cards and let and well wishes in the form of 862 00:50:02,400 --> 00:50:05,200 Speaker 1: a written or typed letter. It's always nice to get those. Still, 863 00:50:05,640 --> 00:50:10,480 Speaker 1: I should say we're pretty thankful after the whole days. Uh. 864 00:50:11,640 --> 00:50:13,960 Speaker 1: Let's see Dan Yell and Adam. They sent us a 865 00:50:13,960 --> 00:50:17,239 Speaker 1: wedding invitation and they got married in Phoenix, Uh, the 866 00:50:17,320 --> 00:50:21,239 Speaker 1: weekend after our live show in Atlanta. So Mazel Tov 867 00:50:21,360 --> 00:50:24,920 Speaker 1: and congratulations and best wishes to Dan Yell and Adam. 868 00:50:25,080 --> 00:50:27,800 Speaker 1: That's right, we got a very special gift. We got 869 00:50:28,120 --> 00:50:31,960 Speaker 1: a real deal American flag that was flown in battle, 870 00:50:32,040 --> 00:50:35,759 Speaker 1: in combat. Major Mike Wilkes of the United States Air 871 00:50:35,800 --> 00:50:39,360 Speaker 1: Force sent usis flag flown by Special Forces Ops crew 872 00:50:39,960 --> 00:50:43,160 Speaker 1: on actual combat missions. Uh. And it came with a 873 00:50:43,200 --> 00:50:47,920 Speaker 1: certificate of its legitimacy signed by four of the crew members. Right. 874 00:50:48,160 --> 00:50:52,800 Speaker 1: That's about as legitimate as it gets. Um. John Hank 875 00:50:53,040 --> 00:50:56,279 Speaker 1: sent us some of his Ready Bamb lip balm. That's 876 00:50:56,400 --> 00:50:58,600 Speaker 1: I feel bad for John. That's a tough act to follow, 877 00:50:59,440 --> 00:51:01,400 Speaker 1: but you can check out it's good lip bomb. You 878 00:51:01,400 --> 00:51:03,600 Speaker 1: can check it out at ready bomb r e a 879 00:51:03,719 --> 00:51:08,800 Speaker 1: d y bomb be a LM fine dot com. Ready 880 00:51:08,800 --> 00:51:12,160 Speaker 1: Bamb dot com by John Hank We got a lot 881 00:51:12,200 --> 00:51:16,280 Speaker 1: of pens everybody. We did our episode on Ballpoint pens 882 00:51:16,320 --> 00:51:19,560 Speaker 1: and people felt the need to share their favorites, which 883 00:51:19,600 --> 00:51:22,240 Speaker 1: is pretty cool. So there will be some pins scattered 884 00:51:22,280 --> 00:51:25,719 Speaker 1: throughout here. But first up, Christina Twig sent us her 885 00:51:25,760 --> 00:51:31,080 Speaker 1: favorite pilot easy blue colored Pilot, easy touch, fine point. 886 00:51:31,400 --> 00:51:34,080 Speaker 1: Not bad. It's still no pilot G twos, but it's 887 00:51:34,080 --> 00:51:36,040 Speaker 1: not bad. Yeah, I've been I've been trying out these 888 00:51:36,080 --> 00:51:40,200 Speaker 1: different pins. Oh that's interesting. Another dude, uh named I 889 00:51:40,239 --> 00:51:42,480 Speaker 1: can't try. I try them, but then they just like 890 00:51:42,560 --> 00:51:45,000 Speaker 1: cramp my hand and I start bleeding from under my 891 00:51:45,040 --> 00:51:47,719 Speaker 1: fingernails something like that. You know, I just can't do it. 892 00:51:48,239 --> 00:51:51,080 Speaker 1: Another guy who sent us pens is Ryan Pinto, who 893 00:51:51,120 --> 00:51:54,560 Speaker 1: has a great name. Thanks Ryan, that's right. Marcus Claytor 894 00:51:55,440 --> 00:51:59,520 Speaker 1: from the UK sent me a hand drawn film still 895 00:51:59,680 --> 00:52:02,759 Speaker 1: from the movie Rushmore. He's a movie crush fan as well, 896 00:52:02,760 --> 00:52:06,440 Speaker 1: and he said he draws film stills by hand and 897 00:52:06,480 --> 00:52:08,400 Speaker 1: send me one that you want me to do. So 898 00:52:08,440 --> 00:52:12,960 Speaker 1: I picked the very famous last shot of Rushmore of 899 00:52:12,960 --> 00:52:17,040 Speaker 1: of Max and his teacher Um standing in front of 900 00:52:17,040 --> 00:52:19,240 Speaker 1: each other to dance at the at the Big Dance 901 00:52:19,880 --> 00:52:22,040 Speaker 1: while everyone else is dancing around them and it's really 902 00:52:22,040 --> 00:52:25,759 Speaker 1: really pretty. I gotta see it. I haven't seen it. 903 00:52:25,760 --> 00:52:29,520 Speaker 1: It's awesome. Our old buddy van Nostrin, one of the 904 00:52:29,600 --> 00:52:33,880 Speaker 1: original fans, I would say, and now a pal. Yeah. Um, 905 00:52:34,000 --> 00:52:36,960 Speaker 1: he and Lee are both pals. Uh. He sent us 906 00:52:36,960 --> 00:52:40,440 Speaker 1: a Satanic skull as his you know, the usual, and 907 00:52:40,560 --> 00:52:44,840 Speaker 1: a vintage relief map of Puget Sound, his beloved sound. Yeah. 908 00:52:44,920 --> 00:52:47,319 Speaker 1: That's because he's a big kayaker now and I've hit 909 00:52:47,360 --> 00:52:49,279 Speaker 1: him up yesterday and I said thanks for the map, 910 00:52:49,880 --> 00:52:51,600 Speaker 1: and he said, now you will know where to find 911 00:52:51,640 --> 00:52:54,320 Speaker 1: my body one day or something like. Yeah, at the 912 00:52:54,400 --> 00:52:58,759 Speaker 1: very least we'll find his foot floating and sound. That's right. Uh, 913 00:52:58,880 --> 00:53:03,520 Speaker 1: Aaron Cooper are speaking of old friends and listeners. Uh. 914 00:53:03,680 --> 00:53:05,840 Speaker 1: Coop has been around with us for many, many years 915 00:53:05,920 --> 00:53:09,759 Speaker 1: and is very famous within our community for for doing 916 00:53:09,800 --> 00:53:14,640 Speaker 1: the excellent photoshops of us. And he's still every Christmas 917 00:53:14,760 --> 00:53:20,279 Speaker 1: sends us the selects and nice large printed form and 918 00:53:20,320 --> 00:53:22,640 Speaker 1: he sent us another bounty of posters this year. But 919 00:53:22,760 --> 00:53:25,400 Speaker 1: a great guy. He's also an administrator on the s 920 00:53:25,520 --> 00:53:28,360 Speaker 1: Y s k Army Facebook page. Yes, and also designs 921 00:53:28,400 --> 00:53:31,000 Speaker 1: a lot of the T shirts and just all around 922 00:53:31,000 --> 00:53:37,680 Speaker 1: great guy. Yeah, good guy, great father, nice goatee. Who 923 00:53:37,760 --> 00:53:41,440 Speaker 1: else do we have, Chuck? Rebecca Rube. Yes, that's Robe, 924 00:53:41,440 --> 00:53:44,279 Speaker 1: believe it or not. Okay, good. I'm glad you you 925 00:53:44,400 --> 00:53:46,640 Speaker 1: corrected me because it's R O O B. And I 926 00:53:46,760 --> 00:53:49,400 Speaker 1: was like, I feel bad, but I'm not calling Rebecca 927 00:53:49,520 --> 00:53:52,239 Speaker 1: Rube and I'm glad it's Robe. So Rebecca Robe sent 928 00:53:52,360 --> 00:53:55,480 Speaker 1: us a box full of goodies from South Dakota, and 929 00:53:56,120 --> 00:54:00,400 Speaker 1: especially for Chuck, a ween poster from the artist Change Rotor, 930 00:54:01,360 --> 00:54:04,360 Speaker 1: who can be found at s H A I N 931 00:54:04,480 --> 00:54:08,200 Speaker 1: E A RT dot com Shane art dot com. That's right. 932 00:54:08,239 --> 00:54:12,080 Speaker 1: And if you live in South Dakota, particularly near a 933 00:54:12,160 --> 00:54:14,760 Speaker 1: story of South Dakota, you can do a lot worse 934 00:54:14,800 --> 00:54:18,520 Speaker 1: than R and R landscape design, which is Rebecca's jam. 935 00:54:18,600 --> 00:54:21,160 Speaker 1: She works out in gardens for people. Nice. That's very 936 00:54:21,200 --> 00:54:25,800 Speaker 1: lovely work. That's good work for sure. Mimi Bailey of Greenville, 937 00:54:25,840 --> 00:54:28,520 Speaker 1: South Carolina, send a lot of a lot of cool things. 938 00:54:28,520 --> 00:54:31,560 Speaker 1: They sent a toy for Momo, thank you. They sent 939 00:54:31,719 --> 00:54:35,600 Speaker 1: some Neco wafers for me and this, and I think 940 00:54:35,680 --> 00:54:38,960 Speaker 1: tiny Tabasco as well. And then Jerry didn't get a 941 00:54:38,960 --> 00:54:42,480 Speaker 1: little tiny miso miso because we always laugh about the 942 00:54:42,480 --> 00:54:46,000 Speaker 1: Miso soup with tree she loves. Yeah, that's for Mimi 943 00:54:46,040 --> 00:54:51,799 Speaker 1: Bailey of Greenville. Siggy Holmgren, who also has a wonderful name, 944 00:54:52,120 --> 00:54:56,480 Speaker 1: sent us some glass jewelry for our ladies and glass 945 00:54:56,680 --> 00:54:59,480 Speaker 1: art by Siggy on Etsy is where you can find 946 00:54:59,520 --> 00:55:02,879 Speaker 1: that stuff. Thanks Siggy. Cameron Henley sent me I've been 947 00:55:02,880 --> 00:55:06,320 Speaker 1: talking a lot about my love for Australian rules football, 948 00:55:06,719 --> 00:55:09,759 Speaker 1: specifically the Melbourne Football Club, so he sent me a 949 00:55:09,840 --> 00:55:13,959 Speaker 1: Melbourne Football Club calendar. While those hunky men, I'm gonna 950 00:55:14,000 --> 00:55:17,799 Speaker 1: get out on the wall right. Uh, let's see our 951 00:55:17,800 --> 00:55:20,839 Speaker 1: buddy Sweetwater Dave who has now become Badger Dave, who 952 00:55:20,840 --> 00:55:24,160 Speaker 1: has now become new Hampshire Representative Dave. Did we ever 953 00:55:24,200 --> 00:55:27,480 Speaker 1: say that Dave won his his UM his election. I 954 00:55:27,520 --> 00:55:29,799 Speaker 1: think we did, But if they're saying again he won 955 00:55:29,840 --> 00:55:33,520 Speaker 1: his election, congratulations Dave. Uh. He sent us some olive 956 00:55:33,520 --> 00:55:36,360 Speaker 1: oil from Spain. That Badger, which is a company he 957 00:55:36,400 --> 00:55:39,680 Speaker 1: works for, UM uses in some of their products and 958 00:55:39,719 --> 00:55:42,440 Speaker 1: they also sell the olive oil straight up and he 959 00:55:42,480 --> 00:55:45,120 Speaker 1: says it's great and Dave is right, So thanks Dave, 960 00:55:45,160 --> 00:55:48,200 Speaker 1: hope you're doing well. We also got tiny Tabasco bottles 961 00:55:48,239 --> 00:55:52,600 Speaker 1: from Nikki Carl and Jackson Russell. Nice nice family. Who 962 00:55:52,600 --> 00:55:56,880 Speaker 1: else Alison Gallagher who uh is also a movie crusher 963 00:55:56,880 --> 00:55:59,640 Speaker 1: and stuff you should know listener who recently moved to Atlanta. 964 00:56:00,560 --> 00:56:03,800 Speaker 1: So welcome Allison. Oh, yeah, welcome. She sent a shirt 965 00:56:04,239 --> 00:56:08,920 Speaker 1: that says, with great beard comes great responsibility to me 966 00:56:09,000 --> 00:56:12,279 Speaker 1: and a little iPhone plug in fan because I gets 967 00:56:12,320 --> 00:56:14,680 Speaker 1: so hot. You know, you literally just plug it into 968 00:56:14,719 --> 00:56:18,359 Speaker 1: where you charge your iPhone and it spends a fan 969 00:56:18,440 --> 00:56:23,439 Speaker 1: blade because and I shall never be hot again. It's 970 00:56:23,560 --> 00:56:28,160 Speaker 1: it's ear piercing everybody. It's loud. Laura Stewart sent some 971 00:56:28,280 --> 00:56:32,520 Speaker 1: very nice gifts. She adopted an elephant in your daughter 972 00:56:32,600 --> 00:56:36,399 Speaker 1: Ruby's name, Chuck from the World Wildlife Foundation. That's right. 973 00:56:36,880 --> 00:56:40,480 Speaker 1: And she also adopted a honey bee in mine and 974 00:56:40,560 --> 00:56:43,360 Speaker 1: Yumi's and Momo's name. So thank you very much, Laura. 975 00:56:43,400 --> 00:56:45,280 Speaker 1: That was very kind of you. That was very sweet. 976 00:56:45,360 --> 00:56:49,160 Speaker 1: This one came with an elephant plushy. Uh and my 977 00:56:49,239 --> 00:56:52,640 Speaker 1: kid loves this thing, named it Navy. We we didn't 978 00:56:52,640 --> 00:56:54,520 Speaker 1: get a plushy. She said that she looked for a 979 00:56:54,560 --> 00:56:56,840 Speaker 1: plush honey bee forest but couldn't find one, so she 980 00:56:56,960 --> 00:56:59,799 Speaker 1: just sent us a dead bee. Oh well, that's nice. 981 00:57:00,000 --> 00:57:03,560 Speaker 1: I'm just getting a stinger still intact, right right, with 982 00:57:03,840 --> 00:57:07,879 Speaker 1: a post it note with you written on it. Thanks Laura. 983 00:57:07,880 --> 00:57:10,279 Speaker 1: I'm just teaching well and thanks to everybody. That's all 984 00:57:10,320 --> 00:57:12,480 Speaker 1: we have for now. The slate is clean. If we 985 00:57:12,560 --> 00:57:15,680 Speaker 1: did forget you, then uh bother us on email and 986 00:57:15,719 --> 00:57:17,840 Speaker 1: we'll get you in the next round for sure. And 987 00:57:18,200 --> 00:57:19,520 Speaker 1: if you want to get in touch with this, you 988 00:57:19,560 --> 00:57:21,320 Speaker 1: can go to stuff you Should Know dot com and 989 00:57:21,400 --> 00:57:23,600 Speaker 1: check out all of our social links. You can also 990 00:57:23,640 --> 00:57:26,240 Speaker 1: find me at the Josh Clarkway dot com and you 991 00:57:26,280 --> 00:57:30,280 Speaker 1: can send me Jerry Chuck and everyone involved an email 992 00:57:30,360 --> 00:57:38,560 Speaker 1: to stuff podcast at how stuff Works dot com. For 993 00:57:38,720 --> 00:57:41,040 Speaker 1: more on this and thousands of other topics. Is it 994 00:57:41,080 --> 00:57:52,720 Speaker 1: how stuff Works dot com.