1 00:00:07,000 --> 00:00:10,840 Speaker 1: Welcome to Creature future production of iHeartRadio. I'm your host 2 00:00:10,880 --> 00:00:15,320 Speaker 1: of Many Parasites, Katie Golden. I studied psychology and evolutionary biology, 3 00:00:15,360 --> 00:00:19,000 Speaker 1: and today on the show Rats. There's rats in the 4 00:00:19,040 --> 00:00:22,120 Speaker 1: walls and the sewers on the subway. Why are there 5 00:00:22,239 --> 00:00:25,239 Speaker 1: so many rats around? And are they the most villainous 6 00:00:25,280 --> 00:00:29,920 Speaker 1: pests or just misunderstood? From plagues to pets, rats have 7 00:00:30,120 --> 00:00:34,360 Speaker 1: shaped human civilization in a variety of ways. Discover this 8 00:00:34,400 --> 00:00:37,200 Speaker 1: and more as we answer the angel question. Welcome, rats 9 00:00:37,240 --> 00:00:40,600 Speaker 1: get blamed for everything. Joining me today is front of 10 00:00:40,640 --> 00:00:43,440 Speaker 1: the show comedian and host of the podcast Jeff Has 11 00:00:43,520 --> 00:00:45,720 Speaker 1: Cool Friends. Jeff May welcome. 12 00:00:46,400 --> 00:00:48,640 Speaker 2: Heyy welcome, It's me a rat. 13 00:00:48,880 --> 00:00:52,479 Speaker 1: It's you a rat man. You pull up the human skin, 14 00:00:53,200 --> 00:00:54,120 Speaker 1: look great. 15 00:00:55,280 --> 00:00:57,840 Speaker 2: Yeah, most of my rat friends are in my legs. 16 00:00:58,000 --> 00:01:01,920 Speaker 1: Yeah, well you know, moved. I've seen this exact case 17 00:01:01,960 --> 00:01:04,800 Speaker 1: so many times where top half kind of like a 18 00:01:04,920 --> 00:01:07,360 Speaker 1: rat tar, like not a centaur, but a rat tar. 19 00:01:07,400 --> 00:01:09,800 Speaker 1: Where it's like top half human bought and half a 20 00:01:09,840 --> 00:01:10,559 Speaker 1: bunch of rats. 21 00:01:11,000 --> 00:01:14,280 Speaker 2: Yeah, bundle a bundle of Dracula like rats, right. 22 00:01:14,160 --> 00:01:16,760 Speaker 1: Sort of like all kind of like a Megatron made 23 00:01:16,760 --> 00:01:18,560 Speaker 1: out of rats for the lower half. 24 00:01:19,880 --> 00:01:21,399 Speaker 2: That's probably the best way to do it. 25 00:01:21,600 --> 00:01:26,759 Speaker 1: Yeah, exactly. So, Jeff, you actually suggested this topic, what 26 00:01:26,880 --> 00:01:31,920 Speaker 1: is what is going on in your life that involves rats? 27 00:01:32,280 --> 00:01:37,880 Speaker 2: So? I had a uninvited rat roommate in my house 28 00:01:39,080 --> 00:01:42,399 Speaker 2: not too long ago. I was. It's one of those 29 00:01:42,440 --> 00:01:44,039 Speaker 2: ones where you start here and you're like, oh, I 30 00:01:44,040 --> 00:01:45,720 Speaker 2: think we have mice, and then you see it and 31 00:01:45,760 --> 00:01:49,120 Speaker 2: you're like, we don't. We don't have mice. We don't. Yeah, 32 00:01:49,160 --> 00:01:52,200 Speaker 2: we don't have any mice. We do have at least 33 00:01:52,280 --> 00:01:56,480 Speaker 2: a rat, right, And you know, we met a couple times. 34 00:01:56,880 --> 00:02:02,680 Speaker 2: He was a little dodgy but also bold. Yeah, and 35 00:02:03,480 --> 00:02:06,320 Speaker 2: I sorry for all of you friends of rats, but 36 00:02:06,400 --> 00:02:07,560 Speaker 2: I got them. 37 00:02:07,560 --> 00:02:09,080 Speaker 1: You got them because. 38 00:02:08,960 --> 00:02:13,040 Speaker 2: Yeah, we got them, which I'm sorry, but also like, 39 00:02:13,120 --> 00:02:15,079 Speaker 2: I don't need my house to burn down. If he's 40 00:02:15,120 --> 00:02:16,440 Speaker 2: like chew an electrical wire. 41 00:02:16,280 --> 00:02:18,600 Speaker 1: Or put a head out on this rat, it sounds like. 42 00:02:19,480 --> 00:02:21,320 Speaker 2: You know, you know, that would have been nice. But 43 00:02:21,480 --> 00:02:24,320 Speaker 2: I actually ended up doing it myself. Oh god, you know, 44 00:02:24,480 --> 00:02:27,400 Speaker 2: like you like, instead of hiring an assassin to come in, 45 00:02:27,480 --> 00:02:31,679 Speaker 2: you know, I will skit myself and just really went 46 00:02:31,760 --> 00:02:33,680 Speaker 2: for it, which is also scary because it turns out 47 00:02:33,680 --> 00:02:35,320 Speaker 2: I'm terrified of things that skitter. 48 00:02:35,720 --> 00:02:40,000 Speaker 1: Yeah, well, skittering is I think the problem with skittering 49 00:02:40,440 --> 00:02:44,280 Speaker 1: is that you know, the skidery is up to something. 50 00:02:45,639 --> 00:02:47,720 Speaker 2: Yeah. On top of that too, like when you think 51 00:02:47,720 --> 00:02:53,239 Speaker 2: about skittering, it's the creepiest, most most aggressive way to 52 00:02:53,360 --> 00:02:56,560 Speaker 2: run away from something. Yeah, but skittering is never at me, 53 00:02:56,960 --> 00:03:00,360 Speaker 2: It's always away from me. And yet I'll clutch my 54 00:03:00,600 --> 00:03:02,240 Speaker 2: if I see a cockroach, I'm gonna clutch my. 55 00:03:02,160 --> 00:03:06,880 Speaker 1: Oh yeah, No, I'm a lover of most things considered pests, 56 00:03:06,960 --> 00:03:11,480 Speaker 1: but a cockroach. The problem is once it's in my area, right, 57 00:03:11,560 --> 00:03:14,280 Speaker 1: like a rat or a cockroach or even a mouse, 58 00:03:14,919 --> 00:03:17,919 Speaker 1: it's like there is a certain like I've made eye 59 00:03:18,000 --> 00:03:21,600 Speaker 1: contact with it, and now it's tap danced away, and 60 00:03:21,800 --> 00:03:26,000 Speaker 1: it's so inappropriate. It's so anti social to like aggressively 61 00:03:26,080 --> 00:03:29,680 Speaker 1: tap dance away from me and be like, well, I'm 62 00:03:29,720 --> 00:03:36,560 Speaker 1: in your house. By ah, it's upsetting, he was at. 63 00:03:36,400 --> 00:03:40,280 Speaker 2: One point in time. They mean to assume that gender 64 00:03:41,840 --> 00:03:43,760 Speaker 2: was like in because we have like a laundry room 65 00:03:44,760 --> 00:03:47,400 Speaker 2: and and it has like the laundry room has basement energy, 66 00:03:47,560 --> 00:03:51,600 Speaker 2: but it's connected to my bedroom. So in order to 67 00:03:51,640 --> 00:03:53,400 Speaker 2: go into the laundry room to do my laundry. I 68 00:03:53,440 --> 00:03:55,440 Speaker 2: started like kind of knocking on the door because I 69 00:03:55,440 --> 00:03:56,560 Speaker 2: didn't want to see the rat. 70 00:03:56,520 --> 00:03:58,800 Speaker 1: Right, like, are you in here doing rat? 71 00:03:59,000 --> 00:04:00,120 Speaker 2: So then I realized it. 72 00:04:00,480 --> 00:04:02,160 Speaker 1: I was just looking at rat pornography. 73 00:04:02,920 --> 00:04:06,440 Speaker 2: Yeah, look at a little looking at some rat titty. 74 00:04:08,120 --> 00:04:11,200 Speaker 2: But I realized I was treating it like a slightly 75 00:04:11,240 --> 00:04:14,160 Speaker 2: hostile roommate. Yeah, like I was like, sorry for coming 76 00:04:14,200 --> 00:04:15,360 Speaker 2: in your room, man, I just got to do some 77 00:04:15,440 --> 00:04:19,479 Speaker 2: laundry real quick. Uh. And and yeah, I'm not a 78 00:04:19,520 --> 00:04:22,960 Speaker 2: fan of the rat. Telling people that a rat snuck 79 00:04:23,000 --> 00:04:25,560 Speaker 2: into your house through like a event or something. You 80 00:04:25,640 --> 00:04:27,680 Speaker 2: might as well tell people that you grew a rat 81 00:04:27,720 --> 00:04:29,800 Speaker 2: from all the pizza boxes that you sleeep in your house. 82 00:04:32,240 --> 00:04:35,720 Speaker 2: You know. That's that's the energy that that having a 83 00:04:35,839 --> 00:04:38,200 Speaker 2: rat in your house means, Like people automatically assume that 84 00:04:38,279 --> 00:04:41,240 Speaker 2: you are a pig. Yeah, that you are like an 85 00:04:41,279 --> 00:04:42,920 Speaker 2: absolute slob that you. 86 00:04:42,880 --> 00:04:46,200 Speaker 1: Sort of leave like a trail of food scraps directly 87 00:04:47,320 --> 00:04:50,800 Speaker 1: to your laundry room and little signs that says welcome rat. 88 00:04:51,880 --> 00:04:55,000 Speaker 2: Yeah, like a little rat strip club right right, so 89 00:04:55,040 --> 00:04:57,600 Speaker 2: that they can do that. But the reality is, you know, 90 00:04:57,880 --> 00:05:01,800 Speaker 2: it's been cold in Los Angeles and rainy, and that 91 00:05:01,920 --> 00:05:06,960 Speaker 2: we must have had like a hole somewhere in our house. Yeah, 92 00:05:07,000 --> 00:05:09,320 Speaker 2: that had to get plugged up. Yeah, it's and it's 93 00:05:09,360 --> 00:05:10,800 Speaker 2: not good like they sneak. 94 00:05:10,560 --> 00:05:12,800 Speaker 1: In because the rat they do, and they do use 95 00:05:12,839 --> 00:05:14,960 Speaker 1: air vents. I had a rat in my air ventt 96 00:05:15,000 --> 00:05:18,279 Speaker 1: once and this was like this, I think it was 97 00:05:18,360 --> 00:05:23,760 Speaker 1: a brown rat and it was large. It was large 98 00:05:24,000 --> 00:05:28,760 Speaker 1: and very aggressive and the skittering aspect was interesting because 99 00:05:28,800 --> 00:05:31,520 Speaker 1: like it was in the vents, so it would wake 100 00:05:31,600 --> 00:05:33,760 Speaker 1: me up in the middle of the night with sort 101 00:05:33,800 --> 00:05:39,480 Speaker 1: of this aggressive scratching and skittering. And what eventually worked 102 00:05:39,960 --> 00:05:45,560 Speaker 1: was allowing my dogs to uh just go ham on 103 00:05:45,600 --> 00:05:50,040 Speaker 1: the on the rat vent area whenever she pleased. So 104 00:05:50,080 --> 00:05:52,920 Speaker 1: she usually would like sleep in her crate because she's 105 00:05:52,960 --> 00:05:56,320 Speaker 1: a well trained puppy, but in this time I let 106 00:05:56,360 --> 00:06:00,400 Speaker 1: her sleep on my bed so that she uh would 107 00:06:00,880 --> 00:06:03,479 Speaker 1: just like every time the rat made a noise, she 108 00:06:03,480 --> 00:06:06,679 Speaker 1: would spring up and start like screaming at this rat, 109 00:06:07,120 --> 00:06:09,800 Speaker 1: which would wake me up for sure, But in the 110 00:06:09,839 --> 00:06:13,359 Speaker 1: long term it was good because she terrorized this poor 111 00:06:13,440 --> 00:06:17,039 Speaker 1: rat and basically trained the rat to like not be 112 00:06:17,200 --> 00:06:20,200 Speaker 1: in my vents because like whenever it would make a 113 00:06:20,279 --> 00:06:24,360 Speaker 1: sound in my vent, my dog would like slam into 114 00:06:24,400 --> 00:06:26,000 Speaker 1: the vent and bark really loud. 115 00:06:26,440 --> 00:06:31,239 Speaker 2: And if you're anywhere and something is like I'm gonna 116 00:06:31,279 --> 00:06:33,680 Speaker 2: kill you, Yeah, you're probably gonna be like, I don't 117 00:06:33,680 --> 00:06:34,680 Speaker 2: think I want to come back here. 118 00:06:34,880 --> 00:06:36,680 Speaker 1: Yeah, And I felt sorry for the rat, you know, 119 00:06:36,800 --> 00:06:41,160 Speaker 1: like because again I like rats in general. Obviously, when 120 00:06:41,240 --> 00:06:45,680 Speaker 1: it's like in my vents pooping and keeping me awake 121 00:06:45,760 --> 00:06:51,280 Speaker 1: at night, that's not tinnable. But you know, it's like 122 00:06:51,480 --> 00:06:55,320 Speaker 1: I want to It's almost like, man, could I like 123 00:06:55,520 --> 00:06:59,000 Speaker 1: build a rat hut? And the answer is no, because 124 00:06:59,040 --> 00:07:02,640 Speaker 1: I didn't own this property, so there's no way I 125 00:07:02,640 --> 00:07:05,120 Speaker 1: could build like a rat hut for the rat to 126 00:07:05,160 --> 00:07:09,200 Speaker 1: live and I would get in trouble with the city. 127 00:07:09,680 --> 00:07:12,640 Speaker 1: So but yeah, it's just it's just not a it's 128 00:07:12,640 --> 00:07:15,240 Speaker 1: not a fun situation when you've got a rat in 129 00:07:15,280 --> 00:07:15,840 Speaker 1: your Yeah. 130 00:07:15,880 --> 00:07:19,680 Speaker 2: Like also it's a good reminder that like there's a 131 00:07:19,720 --> 00:07:23,360 Speaker 2: massive difference between like getting a pet rat and having 132 00:07:23,360 --> 00:07:26,960 Speaker 2: it at your house. Yes, and and an invasive it's 133 00:07:26,960 --> 00:07:29,640 Speaker 2: like a person. It's like having a person, like if 134 00:07:30,520 --> 00:07:35,760 Speaker 2: it's a diffuse and some home invader. Yeah, and then 135 00:07:35,760 --> 00:07:39,360 Speaker 2: there's another another persons just in your house, You're not 136 00:07:39,440 --> 00:07:41,800 Speaker 2: just like you know, every life is sacred. Yeah, you'd 137 00:07:41,800 --> 00:07:44,760 Speaker 2: be like, this is a problem and we need to 138 00:07:44,880 --> 00:07:45,320 Speaker 2: remedy it. 139 00:07:45,680 --> 00:07:49,760 Speaker 1: Lad. I would construct a giant slab of wood and 140 00:07:49,880 --> 00:07:53,360 Speaker 1: a hinge and a big metal bar and put a 141 00:07:53,360 --> 00:07:56,120 Speaker 1: burger on it, an enticing burger on there. 142 00:07:56,160 --> 00:07:58,520 Speaker 2: Big with and the burger would have like a nice 143 00:07:59,040 --> 00:08:01,760 Speaker 2: and it would like the finger on under. 144 00:08:01,520 --> 00:08:06,840 Speaker 1: The Yeah, the aroma, the aroma smell would form an 145 00:08:07,000 --> 00:08:11,200 Speaker 1: anthropomorphic hand and lure the person over. Yeah, I mean 146 00:08:11,400 --> 00:08:14,560 Speaker 1: I think so. Like one of the things with rat control, 147 00:08:14,640 --> 00:08:16,840 Speaker 1: right is it's it is not great when it like 148 00:08:16,920 --> 00:08:19,240 Speaker 1: falls upon us to try to get rid of rats 149 00:08:19,240 --> 00:08:24,800 Speaker 1: from our places. And one of the one of the 150 00:08:24,920 --> 00:08:28,000 Speaker 1: ideas of a more humane rat control is actually through 151 00:08:28,080 --> 00:08:31,200 Speaker 1: like rat birth control, right, so instead of poisoning them, 152 00:08:31,240 --> 00:08:34,720 Speaker 1: which is bad for the rats and bad for you know, 153 00:08:34,840 --> 00:08:39,280 Speaker 1: other animals, right, like mountain lions, domesticated. 154 00:08:38,600 --> 00:08:42,400 Speaker 2: Pets, you know, Yeah, like honestly, like feral cats. 155 00:08:42,600 --> 00:08:43,240 Speaker 1: Feral cats. 156 00:08:43,280 --> 00:08:48,800 Speaker 2: Yeah, it's terrible, like like poisoning. I used to we 157 00:08:48,800 --> 00:08:53,280 Speaker 2: were rescuing a colony of feral cats that were abandoned 158 00:08:53,360 --> 00:08:57,480 Speaker 2: in a neighborhood and one of them just straight up 159 00:08:57,480 --> 00:09:01,600 Speaker 2: we found dead. Yeah, and like based down on the ground, 160 00:09:01,720 --> 00:09:04,480 Speaker 2: no impact or anything like that. We were like, well, somebody, 161 00:09:04,840 --> 00:09:06,480 Speaker 2: some rat poison killed this cat. 162 00:09:06,720 --> 00:09:10,760 Speaker 1: Yeah. That's also like there was that owl that poor 163 00:09:10,800 --> 00:09:14,720 Speaker 1: owl I think in New York had been you know, 164 00:09:15,040 --> 00:09:19,280 Speaker 1: kidnapped from I think the zoo and then escaped and 165 00:09:19,320 --> 00:09:24,200 Speaker 1: then I think its name was Flacco, I think, and 166 00:09:24,280 --> 00:09:27,520 Speaker 1: I think it died. The cause of death was mostly 167 00:09:27,559 --> 00:09:30,640 Speaker 1: attributed to like poison in the rodents that it would 168 00:09:30,640 --> 00:09:31,120 Speaker 1: try to eat. 169 00:09:32,000 --> 00:09:35,960 Speaker 2: Yeah. Yes, those owl pellets would be weird coming. 170 00:09:35,760 --> 00:09:40,840 Speaker 1: Out, huh yeah, yeah, not great. And so you know, 171 00:09:41,000 --> 00:09:43,679 Speaker 1: I mean, like I think that the idea that we should, 172 00:09:44,040 --> 00:09:47,120 Speaker 1: like there are a few ways to control rat populations 173 00:09:47,200 --> 00:09:52,000 Speaker 1: near humans that do not involve poison or you know, 174 00:09:52,160 --> 00:09:56,600 Speaker 1: mass killing. It would involve like creating sort of birth 175 00:09:56,640 --> 00:09:58,319 Speaker 1: control for Yeah. 176 00:09:58,440 --> 00:10:02,440 Speaker 2: I'm fascinated by whatever the wherever you're going with birth 177 00:10:02,480 --> 00:10:03,439 Speaker 2: control with rat. 178 00:10:04,440 --> 00:10:06,480 Speaker 1: I mean, it's not like it would not be like 179 00:10:06,679 --> 00:10:12,840 Speaker 1: tiny rat condoms. It would be capturing rats, sterilizing them, 180 00:10:13,200 --> 00:10:15,960 Speaker 1: or trying to put out baits that would have some 181 00:10:16,040 --> 00:10:19,679 Speaker 1: kind of sterilizing substance in it, so that the uh, 182 00:10:20,480 --> 00:10:25,239 Speaker 1: then you would have rats that would it would basically 183 00:10:25,280 --> 00:10:29,240 Speaker 1: waste the time of of other rats who are trying 184 00:10:29,240 --> 00:10:32,360 Speaker 1: to mate with them, and would reduce the rat population. 185 00:10:32,840 --> 00:10:35,040 Speaker 1: I do like the idea of rat sex ed though, 186 00:10:35,120 --> 00:10:39,199 Speaker 1: where you just have like, uh, you know, teaching rats. 187 00:10:38,480 --> 00:10:41,680 Speaker 2: About safe little rat bananas. 188 00:10:41,760 --> 00:10:46,800 Speaker 1: Yeah, tiny rat bananas and so. But like, I do 189 00:10:46,960 --> 00:10:50,320 Speaker 1: want to talk today about kind of this this complex 190 00:10:50,400 --> 00:10:54,640 Speaker 1: relationship we have with rats, because rats are really interesting animals, 191 00:10:54,720 --> 00:10:59,559 Speaker 1: you know, they're they're they're highly intelligent. They they're all 192 00:10:59,600 --> 00:11:02,160 Speaker 1: these kind of emotions and behaviors in them that I 193 00:11:02,200 --> 00:11:06,199 Speaker 1: think are very like humanizing that they can be tickled. 194 00:11:06,520 --> 00:11:09,760 Speaker 1: They seem to show care and empathy for other rats. 195 00:11:09,800 --> 00:11:12,280 Speaker 1: They'll want to help a rat who's stuck in a 196 00:11:12,280 --> 00:11:16,800 Speaker 1: bad situation, even if it doesn't seem to directly benefit themselves. 197 00:11:17,000 --> 00:11:18,400 Speaker 2: They're great chefs. 198 00:11:18,720 --> 00:11:21,400 Speaker 1: They're great chefs. Sometimes if you put a rat on 199 00:11:21,440 --> 00:11:24,320 Speaker 1: your head, it'll tug your hair that makes you cook 200 00:11:24,360 --> 00:11:24,880 Speaker 1: really good. 201 00:11:25,880 --> 00:11:28,679 Speaker 2: Yeah, yeah, and that's who doesn't want that? 202 00:11:29,000 --> 00:11:31,200 Speaker 1: Yeah? If I could just have if I could have 203 00:11:31,240 --> 00:11:33,600 Speaker 1: a rat at tuy that helps me do my taxes, 204 00:11:33,800 --> 00:11:34,360 Speaker 1: that would. 205 00:11:34,240 --> 00:11:36,560 Speaker 2: Be on a little lawyer, a little account, right. 206 00:11:36,440 --> 00:11:39,360 Speaker 1: Accounting rat. Rat who helps me do my taxes? Rat 207 00:11:39,400 --> 00:11:41,079 Speaker 1: who helps me keep deadlines? 208 00:11:41,480 --> 00:11:44,160 Speaker 2: You know, like I would like a house cleaning rat. 209 00:11:44,320 --> 00:11:46,959 Speaker 1: Yeah, like a rat where you can just like zone 210 00:11:46,960 --> 00:11:49,480 Speaker 1: out and listen to podcasts, but the rat is like 211 00:11:49,559 --> 00:11:53,839 Speaker 1: pulling on your hair and having you vacuum. Perfect. That 212 00:11:53,880 --> 00:11:55,760 Speaker 1: would be that'd be perfect. 213 00:11:55,600 --> 00:11:58,360 Speaker 2: On it, Like or like a like a rummage sale 214 00:11:58,520 --> 00:12:01,679 Speaker 2: organization rat. Yeah, where you can be like, I got 215 00:12:01,679 --> 00:12:03,560 Speaker 2: all this stuff I don't the rat knows what I 216 00:12:03,600 --> 00:12:04,680 Speaker 2: need and what I don't need. 217 00:12:04,920 --> 00:12:08,440 Speaker 1: Yeah, like a rat helping you simplify a life coach rat. 218 00:12:08,520 --> 00:12:13,480 Speaker 1: There's so many ratituey opportunities beyond just cooking, is our point, Like, 219 00:12:13,480 --> 00:12:18,480 Speaker 1: like we need more variety of ratituey. But yeah, so 220 00:12:18,679 --> 00:12:21,120 Speaker 1: let's let's talk a little bit about what what is 221 00:12:21,160 --> 00:12:29,280 Speaker 1: a rat. Rats are in the Rattus genus, which you know, right, 222 00:12:30,800 --> 00:12:36,600 Speaker 1: not really but yeah, like this includes brown rats, black rats, 223 00:12:36,920 --> 00:12:41,080 Speaker 1: domesticated pet rats which are actually descendants from brown rats. 224 00:12:41,240 --> 00:12:43,560 Speaker 1: And these are all in the Rattus genus. But there 225 00:12:43,600 --> 00:12:46,040 Speaker 1: are some things that we call rats that are not 226 00:12:46,520 --> 00:12:52,560 Speaker 1: really true rats. So pack rats, kangaroo rats, pouched rats, muskrats, 227 00:12:52,640 --> 00:12:56,800 Speaker 1: none of these are in the Rattus genus. They're all rodents. 228 00:12:57,080 --> 00:13:01,760 Speaker 1: What's that snitches? Well, it depends because I guess if 229 00:13:01,760 --> 00:13:07,280 Speaker 1: you have a snitch, who is a rat? Right, Like, if. 230 00:13:07,160 --> 00:13:09,080 Speaker 2: This would have to be like that would be another. 231 00:13:08,880 --> 00:13:10,600 Speaker 1: Ratitude, it'd be a different ratitude. 232 00:13:11,000 --> 00:13:12,720 Speaker 2: You get a snitch ratitude. 233 00:13:12,360 --> 00:13:14,840 Speaker 1: Snitch ratitudey, that would be the I feel like that's 234 00:13:14,880 --> 00:13:19,480 Speaker 1: not the most ideal ratitudey, like a ratituey that helps 235 00:13:19,520 --> 00:13:21,880 Speaker 1: you do your taxes but then also reports you to 236 00:13:21,920 --> 00:13:22,560 Speaker 1: the I R S. 237 00:13:23,240 --> 00:13:25,720 Speaker 2: Yeah, that's an inside rat is. 238 00:13:26,320 --> 00:13:30,160 Speaker 1: Right, Yeah, exactly. There are over fifty species of rats, 239 00:13:30,520 --> 00:13:34,319 Speaker 1: including domesticated rats bread to be pets or rats bread 240 00:13:34,320 --> 00:13:39,840 Speaker 1: to be used in lamps. Rats are a cosmopolitan species, 241 00:13:39,840 --> 00:13:43,280 Speaker 1: found all over the world, on every continent except for 242 00:13:43,600 --> 00:13:45,520 Speaker 1: Antarctica because it's too cold. 243 00:13:45,800 --> 00:13:48,800 Speaker 2: I feel that rat awesome if you're like, except for Europe. 244 00:13:49,040 --> 00:13:52,720 Speaker 2: Yeah no, that's it's weird that they respect that border. 245 00:13:53,040 --> 00:13:56,040 Speaker 1: Yeah no, they yeah, well we'll talk about Europe in 246 00:13:56,080 --> 00:14:02,280 Speaker 1: a little bit, but yeah, So they have become invasive 247 00:14:02,360 --> 00:14:05,600 Speaker 1: on islands actually sort of close to Antarctica in the 248 00:14:05,640 --> 00:14:10,760 Speaker 1: southern Hemisphere, and they do threaten the nesting seabird populations there. 249 00:14:10,800 --> 00:14:13,439 Speaker 1: Like when we think about rats as pests, we kind 250 00:14:13,440 --> 00:14:16,480 Speaker 1: of think about them being in our homes or eating 251 00:14:16,520 --> 00:14:19,240 Speaker 1: our grain stockpiles, Like I hate it when rats are 252 00:14:19,280 --> 00:14:23,480 Speaker 1: like in my grain silos. One of the big things 253 00:14:23,480 --> 00:14:27,400 Speaker 1: that is a problem with rats is being invasive in 254 00:14:28,080 --> 00:14:31,680 Speaker 1: areas where they are not indigenous and out competing the 255 00:14:31,800 --> 00:14:37,120 Speaker 1: native wildlife. Because rats are very good at survivors. They 256 00:14:37,120 --> 00:14:41,360 Speaker 1: are like amazing. They're intelligent, they are omnivorous, they will 257 00:14:41,400 --> 00:14:45,520 Speaker 1: eat pretty much anything that can be eaten. They are 258 00:14:45,600 --> 00:14:50,880 Speaker 1: also very fecund. They are very fertile, and they have 259 00:14:50,920 --> 00:14:54,720 Speaker 1: a lot of offsprings, so they are fantastic survivors. I mean, 260 00:14:54,720 --> 00:14:57,720 Speaker 1: they it's interesting that we hate them so much because 261 00:14:57,760 --> 00:15:00,880 Speaker 1: they kind of are very huge men like and how 262 00:15:00,920 --> 00:15:05,800 Speaker 1: successful they are, Like they their ability to take advantage 263 00:15:05,840 --> 00:15:10,360 Speaker 1: of resources, to colonize, to to you know, kind of 264 00:15:10,400 --> 00:15:14,960 Speaker 1: like exploit things and mess up the eco system where 265 00:15:14,960 --> 00:15:16,720 Speaker 1: they are. It's very humanized. 266 00:15:17,320 --> 00:15:19,400 Speaker 2: I think it's important to note too that we are 267 00:15:19,440 --> 00:15:20,280 Speaker 2: also pests. 268 00:15:20,480 --> 00:15:25,360 Speaker 1: Yes, well yes, I mean depends on your perspective, but yeah, 269 00:15:25,440 --> 00:15:28,360 Speaker 1: like if if, if we are talking about our impact 270 00:15:28,480 --> 00:15:32,440 Speaker 1: on ecosystems, I think very much we could be considered pests. 271 00:15:32,880 --> 00:15:35,280 Speaker 2: I'm viewing it from the agent smith perspective. 272 00:15:35,400 --> 00:15:42,200 Speaker 1: Yeah that's yeah, that's I'm sure that's healthy. So yeah, 273 00:15:42,240 --> 00:15:45,480 Speaker 1: the most infamous rat species, the ones you probably are 274 00:15:45,960 --> 00:15:49,880 Speaker 1: most familiar with, are the black rat and the brown rat. So, 275 00:15:50,640 --> 00:15:54,120 Speaker 1: despite the names, black and brown rats are not like like. 276 00:15:54,160 --> 00:15:56,800 Speaker 1: It's not really the coloration difference that is the most 277 00:15:56,840 --> 00:16:01,400 Speaker 1: notable difference between the species, because blacks can be different 278 00:16:01,400 --> 00:16:05,080 Speaker 1: shades of black, gray, or brown, and brown rats can 279 00:16:05,280 --> 00:16:09,320 Speaker 1: be gray rather than brown. So the main difference in 280 00:16:09,360 --> 00:16:13,520 Speaker 1: appearance is the size and the body shape. So brown 281 00:16:13,600 --> 00:16:17,960 Speaker 1: rats are bigger and chunkier, their tails are shorter than 282 00:16:18,000 --> 00:16:22,280 Speaker 1: their overall body length, their snouts are boxier, and their 283 00:16:22,320 --> 00:16:26,960 Speaker 1: ears are stubbier, and black rats are more slender. They 284 00:16:26,960 --> 00:16:29,840 Speaker 1: have tails that are longer than their total body length, 285 00:16:30,400 --> 00:16:33,920 Speaker 1: they have more pointed snouts, more sort of slender faces, 286 00:16:34,360 --> 00:16:39,520 Speaker 1: and larger ears. So yeah, that's how you tell the 287 00:16:39,560 --> 00:16:40,520 Speaker 1: difference if you care. 288 00:16:41,400 --> 00:16:43,480 Speaker 2: I feel like Los Angeles is really good at brown 289 00:16:43,560 --> 00:16:46,640 Speaker 2: rats and New York is much better with black rats. 290 00:16:46,920 --> 00:16:49,840 Speaker 1: I think that's that's fairly accurate. Yeah, I mean they 291 00:16:50,400 --> 00:16:52,840 Speaker 1: both of these guys are found pretty much all over 292 00:16:52,880 --> 00:16:53,240 Speaker 1: the world. 293 00:16:53,320 --> 00:16:57,120 Speaker 2: But yes, I Yeah, mine was a I'm pretty sure 294 00:16:57,120 --> 00:17:00,200 Speaker 2: it was a gray brown rat. Yeah. I remember. I 295 00:17:00,240 --> 00:17:03,320 Speaker 2: was in New York in twenty nineteen for Comic Con. 296 00:17:03,360 --> 00:17:06,200 Speaker 2: I I had a panel and I was just kind 297 00:17:06,200 --> 00:17:09,080 Speaker 2: of like exploring the area and I cut off the 298 00:17:09,119 --> 00:17:12,119 Speaker 2: subway and I came up and immediately saw just like 299 00:17:12,119 --> 00:17:15,639 Speaker 2: a black rat running around like a little park area, 300 00:17:15,720 --> 00:17:19,200 Speaker 2: and I was like, ah, yes, metaphors. It's good to see. 301 00:17:19,240 --> 00:17:22,200 Speaker 2: Like it's definitely like beginning of a movie energy where 302 00:17:22,240 --> 00:17:24,280 Speaker 2: you're like, there's a rat. You're in New York. 303 00:17:24,720 --> 00:17:27,240 Speaker 1: Yeah, I mean that's it's interesting, right, because it is 304 00:17:27,359 --> 00:17:29,000 Speaker 1: used as this thing of like, ah, you're in New 305 00:17:29,080 --> 00:17:31,320 Speaker 1: York because here, here's all the rats. And I mean 306 00:17:31,359 --> 00:17:34,199 Speaker 1: the reason that rats are drawn to New York is 307 00:17:34,240 --> 00:17:36,960 Speaker 1: like the same reason that people are drawn to New 308 00:17:37,040 --> 00:17:40,560 Speaker 1: York or major cities, right, It's because there's because there's 309 00:17:40,600 --> 00:17:42,520 Speaker 1: a lot. I mean, they are drawn to where there 310 00:17:42,560 --> 00:17:46,080 Speaker 1: are huge, dense populations of people because they like the 311 00:17:46,119 --> 00:17:49,480 Speaker 1: same things we do. They like warmth, they like structures, 312 00:17:49,680 --> 00:17:52,600 Speaker 1: and they like food, and they like our food and 313 00:17:52,640 --> 00:17:55,040 Speaker 1: there I'm neverous. They'll eat pretty much anything that we 314 00:17:55,119 --> 00:17:58,639 Speaker 1: can eat, so like they love people. We may not 315 00:17:58,960 --> 00:18:00,919 Speaker 1: like them, but they love a us. 316 00:18:01,800 --> 00:18:04,920 Speaker 2: You know What's it's so funny because and I can 317 00:18:05,000 --> 00:18:07,520 Speaker 2: guarantee we're going to get to this. But for those 318 00:18:07,520 --> 00:18:09,919 Speaker 2: of you that are not aware of my previous career, 319 00:18:10,200 --> 00:18:14,960 Speaker 2: I taught medieval history. I taught about the Middle Ages. 320 00:18:14,960 --> 00:18:16,879 Speaker 2: I taught about everything that happened between the Fall of 321 00:18:16,960 --> 00:18:21,160 Speaker 2: Rome and the Renaissance. And so thirteen forty seven showed 322 00:18:21,240 --> 00:18:23,440 Speaker 2: up and we did a whole unit on it. And 323 00:18:24,119 --> 00:18:26,399 Speaker 2: hearing you say that to me is just giving me 324 00:18:26,520 --> 00:18:29,800 Speaker 2: flashbacks of saying that to eighth breakers. So it's like, 325 00:18:29,840 --> 00:18:32,639 Speaker 2: it's very fascinating because I'm like, oh, yeah, they do 326 00:18:32,880 --> 00:18:33,800 Speaker 2: they do do that. 327 00:18:35,280 --> 00:18:38,680 Speaker 1: I'm so excited because I am not much of a historian, 328 00:18:39,480 --> 00:18:43,320 Speaker 1: so I just did some you know, research for this podcast, 329 00:18:43,400 --> 00:18:45,560 Speaker 1: So I'm excited for you to be able to fill 330 00:18:45,560 --> 00:18:48,200 Speaker 1: in the gaps or correct my mistakes. 331 00:18:48,880 --> 00:18:54,120 Speaker 2: Don't dust off my degree. Yeah yeah, in twelve years. Yeah. 332 00:18:54,160 --> 00:18:57,600 Speaker 1: But yeah, like we kind of we kind of have 333 00:18:57,680 --> 00:19:01,480 Speaker 1: this disdain for rats, but the reason they're so populated 334 00:19:01,480 --> 00:19:04,200 Speaker 1: in areas where we live is because we produce waste 335 00:19:04,280 --> 00:19:08,119 Speaker 1: and we build buildings, and they will eat our food 336 00:19:08,240 --> 00:19:10,600 Speaker 1: and they will live in our buildings, and the best 337 00:19:10,680 --> 00:19:14,159 Speaker 1: way to like sort of control the problem with rats 338 00:19:14,320 --> 00:19:18,840 Speaker 1: is to you know, manage our waste, produce less food waste, 339 00:19:19,480 --> 00:19:25,200 Speaker 1: have good building infrastructure, and you know, I think that 340 00:19:25,400 --> 00:19:27,600 Speaker 1: is kind of all we can do in terms of 341 00:19:28,280 --> 00:19:30,600 Speaker 1: you know, because like when we do things like poison 342 00:19:30,680 --> 00:19:34,080 Speaker 1: rats and stuff, it doesn't actually really make that much 343 00:19:34,080 --> 00:19:36,919 Speaker 1: of an impact on their population, and it just causes 344 00:19:36,960 --> 00:19:38,280 Speaker 1: a lot of problems. 345 00:19:38,280 --> 00:19:40,720 Speaker 2: That they're not getting the word out about the poison. 346 00:19:41,040 --> 00:19:43,200 Speaker 1: They kind of are. Actually that's the thing that they're 347 00:19:43,240 --> 00:19:48,280 Speaker 1: so smart is that they will they will test food 348 00:19:48,359 --> 00:19:51,560 Speaker 1: sometimes and wait to see whether it has an effect, 349 00:19:51,920 --> 00:19:54,280 Speaker 1: or they'll watch another rat test food and then wait 350 00:19:54,320 --> 00:19:56,040 Speaker 1: to see if it has an effect on them. And 351 00:19:56,080 --> 00:19:58,879 Speaker 1: then they because they have they learn that things can 352 00:19:58,920 --> 00:20:02,880 Speaker 1: be poisonous, and then they will be careful about new 353 00:20:02,920 --> 00:20:08,000 Speaker 1: food sources. There's actually a pretty insidious way sometimes we 354 00:20:08,560 --> 00:20:12,439 Speaker 1: kill rats, which is with an I think an anticoagulant. 355 00:20:12,960 --> 00:20:17,119 Speaker 1: You give them the anticoagulant and they don't realize it 356 00:20:17,160 --> 00:20:19,760 Speaker 1: because it's the effects take so long to set in 357 00:20:20,200 --> 00:20:22,280 Speaker 1: that they don't realize it's poisoned. So even if they 358 00:20:22,320 --> 00:20:25,560 Speaker 1: do the little testing thing and then they eat it. 359 00:20:25,560 --> 00:20:27,800 Speaker 1: It takes a lot, there's a long delay in terms 360 00:20:27,840 --> 00:20:30,080 Speaker 1: of the effects, but then the effects happen later and 361 00:20:30,240 --> 00:20:32,200 Speaker 1: kills them in a pretty gruesome way. 362 00:20:33,000 --> 00:20:35,800 Speaker 2: And by an you're with an anti coagulant, does that 363 00:20:35,840 --> 00:20:39,120 Speaker 2: mean you're basically just like giving them like any bola. 364 00:20:38,840 --> 00:20:42,879 Speaker 1: Virus sort of like it's it's not a virus. I mean, 365 00:20:42,920 --> 00:20:46,600 Speaker 1: it kind of works like a snake bite works in 366 00:20:46,640 --> 00:20:49,679 Speaker 1: some cases where like some some snake bites can be 367 00:20:50,119 --> 00:20:55,320 Speaker 1: have a pro coagulant, like a more likely to form 368 00:20:55,359 --> 00:20:58,639 Speaker 1: blood cloths or be anti coagulants, and the anti coagulant 369 00:20:58,680 --> 00:21:02,520 Speaker 1: effects can cause like eternal bleeding. Yeah, it's pretty it's 370 00:21:02,520 --> 00:21:08,840 Speaker 1: pretty horrific. So you know, but you know, the there 371 00:21:08,880 --> 00:21:11,560 Speaker 1: are real problems that we face from rats, like in 372 00:21:11,680 --> 00:21:16,720 Speaker 1: terms of spread of disease, and we, like you kind 373 00:21:16,760 --> 00:21:20,960 Speaker 1: of hinted at Jeff, we cannot we cannot get through 374 00:21:21,000 --> 00:21:24,320 Speaker 1: this episode without talking about plague because it's such a 375 00:21:24,400 --> 00:21:26,720 Speaker 1: huge part of human history and when people think of 376 00:21:26,800 --> 00:21:29,040 Speaker 1: rats like they think of plague, and it is true 377 00:21:29,080 --> 00:21:35,080 Speaker 1: that rats can inadvertently spread plague. But we're gonna take. 378 00:21:35,280 --> 00:21:40,680 Speaker 2: Oh sorry, I was gonna say so if I may 379 00:21:40,960 --> 00:21:45,960 Speaker 2: and of course, I I apologize if I'm getting anything 380 00:21:45,960 --> 00:21:49,399 Speaker 2: wrong here, but so essentially like rodents, so like we 381 00:21:49,440 --> 00:21:54,000 Speaker 2: give rats because rats are social. The reality is all 382 00:21:54,040 --> 00:21:57,360 Speaker 2: of the cases of plague that hit in modern times 383 00:21:57,840 --> 00:22:03,159 Speaker 2: are not usually provided rats. Actually, and first and foremost, 384 00:22:03,200 --> 00:22:05,120 Speaker 2: it's important to note that rats are not the ones 385 00:22:05,119 --> 00:22:10,280 Speaker 2: that are delivering the Eucinia pestis bacteria to people. It's 386 00:22:10,359 --> 00:22:13,720 Speaker 2: it's almost always going to be fleas. Yes, the folice 387 00:22:13,760 --> 00:22:16,720 Speaker 2: that are are hanging out on the rats, they're the ones. 388 00:22:16,800 --> 00:22:20,560 Speaker 2: They they have rat blood in there inside of them 389 00:22:20,720 --> 00:22:24,600 Speaker 2: that is contaminated. They jump on us, they bite, they 390 00:22:24,640 --> 00:22:28,159 Speaker 2: then vomit that blood back into our open wounds, a 391 00:22:28,200 --> 00:22:30,840 Speaker 2: little bit of yeah, a little bit, a little bit 392 00:22:30,880 --> 00:22:33,280 Speaker 2: of the Rcinia bestest bacteria. And that's how it happens. 393 00:22:33,680 --> 00:22:39,280 Speaker 2: More most often comes through uh, like in the American Southwest. 394 00:22:38,840 --> 00:22:42,920 Speaker 1: Yeah, prairie dogs actually from prairie dogs, yes, yeah, because 395 00:22:43,200 --> 00:22:47,399 Speaker 1: there's a reservoir in prairie dogs, whereas uh, there is not, 396 00:22:47,800 --> 00:22:54,080 Speaker 1: you know, like the I think are ability to kind 397 00:22:54,119 --> 00:22:59,840 Speaker 1: of like do hygiene and use antibiotics to treat plagu 398 00:22:59,840 --> 00:23:02,760 Speaker 1: when it pops up like it is not it doesn't spread, 399 00:23:03,600 --> 00:23:08,960 Speaker 1: so easily to major cities nowadays, which is very good, 400 00:23:09,760 --> 00:23:12,480 Speaker 1: but this did not always. This was not always the case. 401 00:23:12,600 --> 00:23:15,159 Speaker 1: So we're going to take a quick break actually, but 402 00:23:15,200 --> 00:23:17,360 Speaker 1: then when we get back, we are going to talk 403 00:23:17,400 --> 00:23:21,800 Speaker 1: about plague and the discussion over how much blame do 404 00:23:21,960 --> 00:23:24,600 Speaker 1: rats have for the plague and what even is plague? 405 00:23:24,640 --> 00:23:27,679 Speaker 1: How does it work? And Jeff, I'm this is such kisman. 406 00:23:27,760 --> 00:23:30,280 Speaker 1: I had no idea that this is what you taught, 407 00:23:30,359 --> 00:23:36,760 Speaker 1: but it says if yes, I'm so excited. I don't 408 00:23:36,800 --> 00:23:39,600 Speaker 1: plan this, but maybe it's like the rats are just 409 00:23:39,720 --> 00:23:44,440 Speaker 1: communicating through me to bring this moment about a great 410 00:23:44,520 --> 00:23:48,720 Speaker 1: cosmic rat, you know, using us like puppets. Anyways, the 411 00:23:48,760 --> 00:23:50,439 Speaker 1: point is we'll be right back and when we come back, 412 00:23:50,480 --> 00:23:55,680 Speaker 1: we're gonna talk about the plague. Yeah, So Jeff gosh, 413 00:23:55,760 --> 00:23:59,800 Speaker 1: I'm I'm so I'm so excited because, like again, history 414 00:23:59,880 --> 00:24:02,399 Speaker 1: is not like my strong point. But I did, I 415 00:24:02,520 --> 00:24:05,200 Speaker 1: did do a little bit of homework before this episode, 416 00:24:06,240 --> 00:24:08,040 Speaker 1: but I'm hoping you can fill in some of the 417 00:24:08,080 --> 00:24:11,080 Speaker 1: details here or at least correct me if I say 418 00:24:11,080 --> 00:24:18,280 Speaker 1: something egregiously wrong or mispronounced something. So the plague, right, 419 00:24:18,400 --> 00:24:21,439 Speaker 1: it's like not I think when we think about or 420 00:24:21,480 --> 00:24:23,920 Speaker 1: when we think about plague. I think a lot of 421 00:24:23,920 --> 00:24:27,560 Speaker 1: people just think about the Black Death. But that was 422 00:24:27,640 --> 00:24:32,640 Speaker 1: not the only plague. It was a bad one. It 423 00:24:32,720 --> 00:24:37,040 Speaker 1: was a big one, for sure. But there were three 424 00:24:37,119 --> 00:24:41,679 Speaker 1: plague pandemics, and one was relatively recent. There was the 425 00:24:41,720 --> 00:24:48,000 Speaker 1: first plague pandemic from about five forty to seven fifty. 426 00:24:49,320 --> 00:24:52,359 Speaker 1: There was the second plague pandemic from about thirteen thirty 427 00:24:52,440 --> 00:24:56,520 Speaker 1: to eighteen fifty five ish, and then the third plague 428 00:24:56,520 --> 00:25:00,159 Speaker 1: pandemic from about eighteen fifty five ish to nineteen sixty. 429 00:25:00,880 --> 00:25:01,680 Speaker 1: Is that about right? 430 00:25:02,880 --> 00:25:08,639 Speaker 2: I it might be. I take an interesting form of 431 00:25:08,760 --> 00:25:11,520 Speaker 2: umbrage with the fact that we went thirteen roughly thirteen 432 00:25:11,520 --> 00:25:15,640 Speaker 2: thirty to eighteen fifty five. That's a big span. Yeah, 433 00:25:16,320 --> 00:25:20,359 Speaker 2: it's a pandemic, but that's again, that's that's mostly that's 434 00:25:20,359 --> 00:25:22,320 Speaker 2: not me correcting you. That's just me being like, in 435 00:25:22,359 --> 00:25:22,960 Speaker 2: my head, I'm. 436 00:25:22,840 --> 00:25:25,000 Speaker 1: Like, I can't be no reason. So there is a 437 00:25:25,000 --> 00:25:28,679 Speaker 1: little bit of uh, you know, I think that that 438 00:25:28,800 --> 00:25:31,719 Speaker 1: is sort of the general span in terms of like 439 00:25:32,560 --> 00:25:39,120 Speaker 1: how they categorize these pandemics. But it's not like there 440 00:25:39,119 --> 00:25:44,480 Speaker 1: were a bunch of pandemics within that, And it's kind 441 00:25:44,480 --> 00:25:48,240 Speaker 1: of like there's some disagreement on how exactly one should 442 00:25:48,280 --> 00:25:52,000 Speaker 1: categorize these time periods, right, like this is it's not 443 00:25:52,200 --> 00:25:56,639 Speaker 1: like it's a little bit. It's kind of like a 444 00:25:56,880 --> 00:26:00,000 Speaker 1: taxonomy with animals, where it's like sometimes it's like, well, 445 00:26:00,640 --> 00:26:04,919 Speaker 1: where is exactly the cutoff with where one starts and 446 00:26:04,960 --> 00:26:08,120 Speaker 1: where the other begins. 447 00:26:07,800 --> 00:26:12,639 Speaker 2: It's important to note that the plague, that is the 448 00:26:12,680 --> 00:26:16,520 Speaker 2: famous plague. It's important because plague in general just means 449 00:26:17,000 --> 00:26:19,439 Speaker 2: an epidemic or however we want to say at a 450 00:26:19,440 --> 00:26:23,560 Speaker 2: pandemic or whatnot, that is sweeps across a massive amount 451 00:26:23,600 --> 00:26:28,080 Speaker 2: of the population. And again, if you're a pedant listening 452 00:26:28,160 --> 00:26:30,280 Speaker 2: to this, jumping into the comments, tell me I'm wrong. 453 00:26:30,400 --> 00:26:33,080 Speaker 2: I'm probably wrong about some stuff. It's been twelve years 454 00:26:33,119 --> 00:26:37,920 Speaker 2: since I've taught this. I have a degree, obviously in history. 455 00:26:38,480 --> 00:26:43,679 Speaker 2: My minor was in biology, and actually the focus on 456 00:26:43,720 --> 00:26:47,240 Speaker 2: that was infectious diseases. So I do bring a little 457 00:26:47,240 --> 00:26:48,560 Speaker 2: bit in here, but I'm not a scientist. 458 00:26:48,680 --> 00:26:51,119 Speaker 1: Plague heads are plague heads are coming for you, Jeff. 459 00:26:51,680 --> 00:26:54,919 Speaker 2: They might so, but I do need to classify that 460 00:26:55,000 --> 00:26:57,840 Speaker 2: because you know, I haven't been a teacher of this 461 00:26:58,080 --> 00:27:02,560 Speaker 2: since twenty twelve. But essentially the one we talk about 462 00:27:03,000 --> 00:27:06,640 Speaker 2: like the main one, because that's the one that everybody discusses, 463 00:27:06,760 --> 00:27:09,320 Speaker 2: right if you're talking like five fifty seven or whatever, 464 00:27:09,359 --> 00:27:12,240 Speaker 2: you know you're talking, you know, that's an earlier one. 465 00:27:12,280 --> 00:27:17,480 Speaker 2: That's not the one that's super famous. Roughly, we look 466 00:27:17,480 --> 00:27:21,600 Speaker 2: at the period and it's generally considered that thirteen forty seven, 467 00:27:21,800 --> 00:27:24,880 Speaker 2: that's like, yeah, that. 468 00:27:24,960 --> 00:27:27,320 Speaker 1: Was like when that's the Black plague, right. 469 00:27:27,760 --> 00:27:31,080 Speaker 2: Yeah, that's the Black Death, and the Black Death is 470 00:27:32,320 --> 00:27:35,600 Speaker 2: you know, it really comes down due to the growth 471 00:27:35,640 --> 00:27:39,840 Speaker 2: of towns in trade. So the growth of a market 472 00:27:39,880 --> 00:27:44,760 Speaker 2: economy is what led to this epidemic. When you talk 473 00:27:44,800 --> 00:27:47,879 Speaker 2: about where Europe was in the thirteen hundreds and when 474 00:27:47,920 --> 00:27:49,639 Speaker 2: you were establishing trade routes, and you look at the 475 00:27:49,680 --> 00:27:53,880 Speaker 2: areas that were affected the most, you see that it's 476 00:27:53,920 --> 00:27:57,800 Speaker 2: coming in into these trading towns, these trading centers, and 477 00:27:57,840 --> 00:28:00,600 Speaker 2: then it is being spread because the people that got 478 00:28:00,720 --> 00:28:04,240 Speaker 2: infected by those fleas from those rats in those areas 479 00:28:04,560 --> 00:28:08,720 Speaker 2: are then going to travel. And when all of you, 480 00:28:09,560 --> 00:28:13,320 Speaker 2: all of your hearers and blames are like about God, 481 00:28:14,080 --> 00:28:19,399 Speaker 2: you're kind of screwed. The results of plague created the 482 00:28:19,440 --> 00:28:23,320 Speaker 2: modern world, and that is something that is a very 483 00:28:24,960 --> 00:28:31,840 Speaker 2: ugly benefit, because there are massive benefits that happened as 484 00:28:31,840 --> 00:28:33,080 Speaker 2: a result of the Black Death. 485 00:28:33,520 --> 00:28:37,160 Speaker 1: Yeah, it's like a silver or sort of blackish bloody 486 00:28:37,960 --> 00:28:39,840 Speaker 1: lining to the plague. 487 00:28:40,800 --> 00:28:45,040 Speaker 2: It's it's probably I would say that Black Death has 488 00:28:46,040 --> 00:28:50,479 Speaker 2: the silverist lining in of all pretty much horrible events 489 00:28:50,520 --> 00:28:54,920 Speaker 2: that have happened. And I know that that sounds really careless, 490 00:28:55,000 --> 00:28:58,280 Speaker 2: because you know, estimates go from anywhere from twelve to 491 00:28:58,360 --> 00:29:04,320 Speaker 2: thirty percent of the population where wiped out. But the 492 00:29:04,560 --> 00:29:10,080 Speaker 2: middle class rip was created. Around this time, the church 493 00:29:10,240 --> 00:29:13,800 Speaker 2: took a massive hit in its influence and power. The 494 00:29:13,880 --> 00:29:18,959 Speaker 2: church no longer became the global dominator that it once was. 495 00:29:19,960 --> 00:29:24,200 Speaker 2: The nobility and feudalism started to crash heavily. Like it Also, 496 00:29:24,240 --> 00:29:29,720 Speaker 2: the Renaissance is birthed of this. The awakening of science 497 00:29:29,840 --> 00:29:33,000 Speaker 2: and technology and medicine is starting to grow. And it 498 00:29:33,040 --> 00:29:36,520 Speaker 2: really all comes from the fact that like the failures 499 00:29:36,520 --> 00:29:39,800 Speaker 2: of the survivors and like the wealth that was accumulated 500 00:29:39,880 --> 00:29:43,520 Speaker 2: and the pulling of the population, which is such a 501 00:29:43,600 --> 00:29:47,720 Speaker 2: dystopian sci fi thing that they do. Yeah, we're like, 502 00:29:48,800 --> 00:29:50,360 Speaker 2: you know, half the time, if you're ever on like 503 00:29:50,360 --> 00:29:53,400 Speaker 2: an episode of hype Cast or something, with Tom Rayman 504 00:29:53,440 --> 00:29:55,760 Speaker 2: and David Bell or whatever, and they're like, hey, there's 505 00:29:55,760 --> 00:29:57,640 Speaker 2: another sci fi movie coming out, and they're like, we 506 00:29:57,760 --> 00:29:59,640 Speaker 2: have to kill eight percent of the population. 507 00:30:00,400 --> 00:30:03,120 Speaker 1: The thing is, like, the thing about like the idea 508 00:30:03,160 --> 00:30:06,880 Speaker 1: of calling is that we don't I mean, like, I 509 00:30:07,400 --> 00:30:11,440 Speaker 1: definitely agree that there were direct results of the of 510 00:30:11,480 --> 00:30:17,160 Speaker 1: the uh, the Black Death and the plague that resulted 511 00:30:17,200 --> 00:30:21,160 Speaker 1: in good societal changes, but we don't have the counterfactual, right, Like, 512 00:30:21,200 --> 00:30:24,000 Speaker 1: if it hadn't happened, we could have also had really 513 00:30:24,040 --> 00:30:27,360 Speaker 1: good societal changes, and we just don't know what would 514 00:30:27,360 --> 00:30:27,880 Speaker 1: have happened. 515 00:30:29,520 --> 00:30:32,720 Speaker 2: Yes, but we can also use historical patterns. 516 00:30:33,920 --> 00:30:34,680 Speaker 1: Yeah, we could guess. 517 00:30:35,720 --> 00:30:39,120 Speaker 2: You can make a pretty strong hypothesis that there are 518 00:30:39,160 --> 00:30:43,360 Speaker 2: certain things that would have been maintained. And the status 519 00:30:43,480 --> 00:30:48,040 Speaker 2: quo at that time was pretty strong. And when you 520 00:30:48,080 --> 00:30:52,120 Speaker 2: look at you know, warfare being what it was, and 521 00:30:53,240 --> 00:30:56,400 Speaker 2: I don't know it's the church would not have been 522 00:30:56,840 --> 00:30:58,840 Speaker 2: would not have lost the power that it did, right, 523 00:30:58,840 --> 00:31:01,040 Speaker 2: and the middle class would not have risen the way 524 00:31:01,040 --> 00:31:04,320 Speaker 2: it did. We can't say for sure, but we can 525 00:31:04,400 --> 00:31:07,960 Speaker 2: say judging from the patterns of societies at that time, 526 00:31:08,600 --> 00:31:12,680 Speaker 2: judging from the fact that you know, Islam had been 527 00:31:12,720 --> 00:31:16,600 Speaker 2: stopped at Spain as opposed to crossing over and then 528 00:31:16,640 --> 00:31:20,200 Speaker 2: spreading all the way across. Like there are certain tent 529 00:31:20,280 --> 00:31:23,160 Speaker 2: pole or if we want to go pop culture canon 530 00:31:23,240 --> 00:31:25,840 Speaker 2: events that had happened up to that point which had 531 00:31:25,920 --> 00:31:32,280 Speaker 2: established patterns in there, Like if Islam had spread, maybe 532 00:31:32,320 --> 00:31:37,120 Speaker 2: science and technology would have moved faster at that time, 533 00:31:37,400 --> 00:31:41,520 Speaker 2: but it didn't. It was yeah, it was you know, 534 00:31:41,640 --> 00:31:44,560 Speaker 2: it was stopped Charles Martel stopped him at tour and 535 00:31:44,720 --> 00:31:48,360 Speaker 2: pushed him back. So at that point in time, then 536 00:31:48,560 --> 00:31:52,640 Speaker 2: you have to be like, all right, well, the plague 537 00:31:53,320 --> 00:31:57,600 Speaker 2: caused certain things to happen. Yeah, and those things led 538 00:31:57,640 --> 00:32:01,040 Speaker 2: to that immediate and it's like it's not that gradual, 539 00:32:01,120 --> 00:32:05,080 Speaker 2: it's a relatively immediate shift. When you talk about wages 540 00:32:06,160 --> 00:32:09,560 Speaker 2: going exponentially higher, a lot of that came from the 541 00:32:09,600 --> 00:32:13,520 Speaker 2: fact that people weren't supplying the labor that they needed, 542 00:32:13,560 --> 00:32:17,440 Speaker 2: so the market equilibrium for that went up. But also 543 00:32:17,640 --> 00:32:21,840 Speaker 2: past that, like there was a lot of superstition that 544 00:32:22,000 --> 00:32:24,640 Speaker 2: was leading people to not work with like the irony 545 00:32:24,680 --> 00:32:27,560 Speaker 2: being that, like the people that worked with dead bodies 546 00:32:28,240 --> 00:32:31,640 Speaker 2: were the safest people, and they also were like the 547 00:32:31,680 --> 00:32:32,640 Speaker 2: most well paid. 548 00:32:33,080 --> 00:32:35,920 Speaker 1: Why were they the safest, did they like practice better 549 00:32:36,000 --> 00:32:39,640 Speaker 1: hygiene or was it that like by the time someone 550 00:32:39,800 --> 00:32:41,560 Speaker 1: was dead, the fleas were gone. 551 00:32:41,960 --> 00:32:44,840 Speaker 2: Thing, Go, Yeah, it's exactly that. So like fleas don't 552 00:32:45,040 --> 00:32:47,360 Speaker 2: they don't hang out on a dead body. They don't 553 00:32:47,400 --> 00:32:49,080 Speaker 2: like a cold body, so they would leave. 554 00:32:49,360 --> 00:32:53,680 Speaker 1: Yeah, then I correct me if I'm wrong. But I 555 00:32:53,720 --> 00:32:57,280 Speaker 1: think there were other jobs that people saw as potentially 556 00:32:57,680 --> 00:33:02,120 Speaker 1: really dirty but that actually didn't actually resulted in lower 557 00:33:02,160 --> 00:33:05,400 Speaker 1: death rates, like people who would clean like sort of 558 00:33:05,440 --> 00:33:10,680 Speaker 1: the sewage systems, which were sometimes just like canals through 559 00:33:10,720 --> 00:33:13,800 Speaker 1: the streets, and people would wash more regularly when they 560 00:33:13,840 --> 00:33:17,800 Speaker 1: did that because it was stinky and the plague didn't. 561 00:33:18,160 --> 00:33:22,400 Speaker 1: Like there was this idea that foul odors might cause illness. 562 00:33:22,880 --> 00:33:26,480 Speaker 1: And while there's something really kind of interesting about that 563 00:33:26,640 --> 00:33:29,520 Speaker 1: right where it's like there's a bit of a there's 564 00:33:29,560 --> 00:33:32,760 Speaker 1: a bit of an yeah, exactly a correlation in this case, 565 00:33:32,840 --> 00:33:36,600 Speaker 1: like plague was not spread through feces, uh, And so 566 00:33:36,800 --> 00:33:39,719 Speaker 1: people who worked directly with feces, well not always some 567 00:33:39,960 --> 00:33:42,440 Speaker 1: like there's certain types of plague. We'll get into that 568 00:33:42,480 --> 00:33:44,880 Speaker 1: a bit, where there is a type of plague that 569 00:33:45,520 --> 00:33:50,440 Speaker 1: could potentially be spread from the bodily fluids of people. 570 00:33:50,440 --> 00:33:54,840 Speaker 1: But the main spread was through fleas, and so people 571 00:33:54,880 --> 00:33:57,479 Speaker 1: who would work, who would work with like you know, 572 00:33:57,560 --> 00:34:01,080 Speaker 1: the sewage, they would be washed a lot because it 573 00:34:01,160 --> 00:34:04,640 Speaker 1: was gross, and so that washing actually may have had 574 00:34:04,680 --> 00:34:08,320 Speaker 1: a protective effect where they didn't get as many fleas. 575 00:34:09,440 --> 00:34:14,560 Speaker 2: It's a lot like how religions that forbade pork, you 576 00:34:14,640 --> 00:34:18,120 Speaker 2: had a significant drop in trichinosis. 577 00:34:18,360 --> 00:34:20,640 Speaker 1: Yeah, just by chance essentially. 578 00:34:20,760 --> 00:34:23,000 Speaker 2: Yeah, and it's just like, oh, okay, well. 579 00:34:23,440 --> 00:34:26,719 Speaker 1: Either by chance or that either by chance or people 580 00:34:26,840 --> 00:34:30,920 Speaker 1: made a correlation, but they didn't know why this happened. 581 00:34:31,080 --> 00:34:33,680 Speaker 1: And then it became sort of religious doctrine because it 582 00:34:34,040 --> 00:34:37,440 Speaker 1: like there were certain recipes for medications and stuff where 583 00:34:37,480 --> 00:34:41,200 Speaker 1: you would say a prayer as you were doing it, 584 00:34:41,680 --> 00:34:44,560 Speaker 1: and that actually provided the timing for like a chemical 585 00:34:44,600 --> 00:34:47,560 Speaker 1: reaction and it had obviously nothing to do with the 586 00:34:47,640 --> 00:34:50,440 Speaker 1: prayer incantation, but that kept time because people didn't have 587 00:34:50,480 --> 00:34:51,280 Speaker 1: stop watches. 588 00:34:52,480 --> 00:34:57,239 Speaker 2: Yeah, it's wild like the stuff that happened, Like there 589 00:34:57,239 --> 00:35:01,680 Speaker 2: were like touring groups of flagelens that would like they 590 00:35:01,719 --> 00:35:05,040 Speaker 2: would just go to different towns whipping themselves and being 591 00:35:05,400 --> 00:35:08,279 Speaker 2: but they were also like generally like scummy people that 592 00:35:08,320 --> 00:35:12,000 Speaker 2: would go by and would self flagellate in order to 593 00:35:12,080 --> 00:35:16,640 Speaker 2: like absorb the sins of the community, you know, like 594 00:35:17,000 --> 00:35:19,799 Speaker 2: because the thing about it was is like the church 595 00:35:19,960 --> 00:35:22,960 Speaker 2: was the center of everything at the time, and the 596 00:35:23,080 --> 00:35:28,520 Speaker 2: church fell apart during the Black Death, and the papacy 597 00:35:28,920 --> 00:35:32,640 Speaker 2: had already sort of revealed itself to be self serving 598 00:35:32,719 --> 00:35:35,720 Speaker 2: as they had relocated to Avignon in France at the time, 599 00:35:36,320 --> 00:35:37,279 Speaker 2: so during the. 600 00:35:37,160 --> 00:35:41,120 Speaker 1: Plague, always taking a charter plane off to Avignon. As 601 00:35:41,200 --> 00:35:44,319 Speaker 1: soon as stuff hits the flat, stuff hits the fan. 602 00:35:44,440 --> 00:35:49,600 Speaker 2: Well, so like there was the great Schism of where 603 00:35:49,640 --> 00:35:52,200 Speaker 2: they moved the papacy from Rome to Avignon, which caused 604 00:35:52,280 --> 00:35:55,920 Speaker 2: Rome to like fall apart anyway, and then you know 605 00:35:56,080 --> 00:35:59,120 Speaker 2: it was really just a king buying a pope and 606 00:35:59,360 --> 00:36:03,880 Speaker 2: having him live in his area. So it's one of 607 00:36:03,880 --> 00:36:07,239 Speaker 2: those things where like the papacy people were already like 608 00:36:08,080 --> 00:36:11,520 Speaker 2: this doesn't seem it doesn't seem very godly that you 609 00:36:11,560 --> 00:36:13,720 Speaker 2: guys just decides that you can move it. And then 610 00:36:13,960 --> 00:36:18,240 Speaker 2: when this shit's going down and the churches are closing, 611 00:36:18,280 --> 00:36:23,120 Speaker 2: they're refusing to give last rites while these rock star 612 00:36:23,680 --> 00:36:27,480 Speaker 2: flageleans are walking around and like they're like we'll do it, 613 00:36:28,280 --> 00:36:31,319 Speaker 2: and they became you know, you hate to say it, 614 00:36:31,400 --> 00:36:35,719 Speaker 2: but like they're like the Tea Party of very populous 615 00:36:35,880 --> 00:36:39,399 Speaker 2: that era, where like they're they're being populist, They're they 616 00:36:39,600 --> 00:36:42,960 Speaker 2: they're the ones that are diagnosing and recognizing problems. They 617 00:36:42,960 --> 00:36:46,839 Speaker 2: don't have an actual cure for it, but by recognizing it, 618 00:36:47,840 --> 00:36:51,319 Speaker 2: people felt seen. That's that's kind of one of the 619 00:36:51,320 --> 00:36:54,440 Speaker 2: ways that Trump got elected if you really think about it, 620 00:36:54,480 --> 00:36:57,520 Speaker 2: of he sees a problem and diagnosed it the way 621 00:36:57,600 --> 00:37:00,719 Speaker 2: Hillary didn't. He didn't have a plan forul no, but 622 00:37:00,920 --> 00:37:03,439 Speaker 2: just by seeing people people were like, oh, okay. 623 00:37:03,280 --> 00:37:05,839 Speaker 1: Yeah, no, I mean it's a good point. I mean 624 00:37:05,880 --> 00:37:08,799 Speaker 1: I think that like, I mean, obviously there are a 625 00:37:08,840 --> 00:37:12,160 Speaker 1: lot of uh there, there are a lot of scapegoats. 626 00:37:12,239 --> 00:37:16,640 Speaker 1: During the plague times, there's a ton a ton of 627 00:37:16,680 --> 00:37:21,440 Speaker 1: anti semitism because you know, whenever, whenever there's a social problem, 628 00:37:21,480 --> 00:37:24,600 Speaker 1: it's just like, well, let's slap some anti semitism and 629 00:37:24,680 --> 00:37:25,600 Speaker 1: see how that works. 630 00:37:26,120 --> 00:37:30,759 Speaker 2: Ah poison Well term yeah was really popularized because of 631 00:37:30,840 --> 00:37:33,600 Speaker 2: the plague and the plug ROMs that would happen because 632 00:37:33,719 --> 00:37:34,480 Speaker 2: of the plague. 633 00:37:34,640 --> 00:37:38,080 Speaker 1: Yeah, And but really what the plague was caused by 634 00:37:38,320 --> 00:37:42,560 Speaker 1: was Ersinia pestis, which you mentioned earlier, like in every 635 00:37:42,640 --> 00:37:46,400 Speaker 1: case in like regardless of your your feelings about like 636 00:37:47,080 --> 00:37:50,800 Speaker 1: the years that you categorize these plagues, the first plague pandemic, 637 00:37:50,840 --> 00:37:53,880 Speaker 1: second plague pandemic, and the third plane plague pandemic, the 638 00:37:53,880 --> 00:37:59,440 Speaker 1: most recent one, all caused by this Orcinia pestis bacteria. 639 00:37:59,520 --> 00:38:02,680 Speaker 1: There are different forms or there are different types of 640 00:38:02,680 --> 00:38:06,320 Speaker 1: infection that this can cause. It can be pneumonic, which 641 00:38:06,360 --> 00:38:09,000 Speaker 1: is long infection, septusmic. 642 00:38:09,160 --> 00:38:13,080 Speaker 2: That's the coughing and sneezing one that's the mnemonic is 643 00:38:13,120 --> 00:38:15,279 Speaker 2: the one that spreads like wildfire. 644 00:38:15,480 --> 00:38:20,000 Speaker 1: Yes, because that one doesn't spread just through fleas. That 645 00:38:20,000 --> 00:38:24,160 Speaker 1: can also spread through body fluids and even droplets. 646 00:38:23,760 --> 00:38:27,439 Speaker 2: Of yes, because I think the words that they used. 647 00:38:28,280 --> 00:38:33,680 Speaker 1: There's also septasmic, which is blood infection, and bubonic, which 648 00:38:33,719 --> 00:38:35,799 Speaker 1: is I think the most well known one. And the 649 00:38:35,800 --> 00:38:39,120 Speaker 1: bubonic is infection of the lymph nodes, and those lymph 650 00:38:39,160 --> 00:38:42,000 Speaker 1: nodes when they swell, they form the bubos, the like 651 00:38:42,520 --> 00:38:46,880 Speaker 1: gross gnarly grape like bubbles on your skin, which is 652 00:38:46,920 --> 00:38:50,200 Speaker 1: really these like super inflamed lymph nodes. 653 00:38:52,320 --> 00:38:58,759 Speaker 2: Yeah. So so bubonic plague is the one that we 654 00:38:58,920 --> 00:39:03,200 Speaker 2: equate for the most part with and the two major 655 00:39:03,239 --> 00:39:06,680 Speaker 2: ones were numonic and bubonic at the time. Yeah, those 656 00:39:06,680 --> 00:39:09,520 Speaker 2: were the ones that people would see obviously knemonic can 657 00:39:09,560 --> 00:39:13,120 Speaker 2: see somebody coughing near you. That is going to give 658 00:39:13,200 --> 00:39:20,239 Speaker 2: us a much more recent example of a pandemic that 659 00:39:20,400 --> 00:39:22,279 Speaker 2: you have to be you know, it's one of those 660 00:39:22,320 --> 00:39:25,480 Speaker 2: things where like you can see now, and like why 661 00:39:25,560 --> 00:39:28,080 Speaker 2: I was really on edge because I also when I 662 00:39:28,120 --> 00:39:33,200 Speaker 2: was a teacher, I got swine flu. I got swine 663 00:39:33,239 --> 00:39:36,080 Speaker 2: flu from the kids I taught about plague. And so 664 00:39:36,280 --> 00:39:39,440 Speaker 2: when the pandemic had hit in twenty twenty, I was like, 665 00:39:40,040 --> 00:39:41,960 Speaker 2: and everyone's like, masks don't work. I was like, let 666 00:39:42,040 --> 00:39:44,960 Speaker 2: me explain to you how these like. I was like, look, 667 00:39:45,000 --> 00:39:46,560 Speaker 2: I'm not an expert, but I do. I am an 668 00:39:46,560 --> 00:39:51,200 Speaker 2: expert in the specific thing. So, but bubonic plague it 669 00:39:51,280 --> 00:39:54,320 Speaker 2: became the one that like was the visible, like oh 670 00:39:54,800 --> 00:39:59,480 Speaker 2: scenario and people the one thing people don't forget, like 671 00:39:59,600 --> 00:40:02,239 Speaker 2: it was isn't the death sentence that we think it 672 00:40:02,360 --> 00:40:06,760 Speaker 2: was at the time. People did survive it. There are 673 00:40:06,800 --> 00:40:09,480 Speaker 2: instances where there was like one town that like clearly 674 00:40:09,560 --> 00:40:13,479 Speaker 2: had immunity to it. Yeah, where they had gone through 675 00:40:13,520 --> 00:40:18,880 Speaker 2: and like there's also been fascinating studies about survivors of 676 00:40:19,080 --> 00:40:24,879 Speaker 2: plague having their descendants having an immunity to the HIV virus, 677 00:40:25,080 --> 00:40:30,040 Speaker 2: which is a weird phenomenon. That I'm not smart enough 678 00:40:30,080 --> 00:40:31,400 Speaker 2: to kind. 679 00:40:31,280 --> 00:40:33,720 Speaker 1: Of ampogenetic change maybe. 680 00:40:33,560 --> 00:40:38,759 Speaker 2: Yeah, yeah, like literally changing DNA to do that, and 681 00:40:38,800 --> 00:40:43,040 Speaker 2: that that's wild to me. But and again, I cannot 682 00:40:43,040 --> 00:40:45,800 Speaker 2: stress enough that even though I feel like I'm sounding smart, 683 00:40:45,800 --> 00:40:48,319 Speaker 2: I'm a very dumb mate. So don't ask me. 684 00:40:48,600 --> 00:40:51,000 Speaker 1: We're just we're all we're all dumb dumbs struggling in 685 00:40:51,040 --> 00:40:51,720 Speaker 1: this big world. 686 00:40:52,560 --> 00:40:55,600 Speaker 2: So like when you talk about your lymph nodes, the 687 00:40:55,640 --> 00:40:59,160 Speaker 2: ones that we most often think are right sort of 688 00:40:59,680 --> 00:41:02,919 Speaker 2: right the sides of your throats, right under the back 689 00:41:02,960 --> 00:41:08,040 Speaker 2: of your jaw, Yeah, the armpits and uh, unfortunately you're grond, you're. 690 00:41:07,920 --> 00:41:11,319 Speaker 1: Grind sort of in the you know where, like where 691 00:41:11,320 --> 00:41:15,480 Speaker 1: the Barbie Doll hinges are. It's the v But yeah, 692 00:41:15,520 --> 00:41:18,120 Speaker 1: we actually have we have many more lymph nodes than 693 00:41:18,160 --> 00:41:20,400 Speaker 1: that we have. Yeah, we have like a pair at 694 00:41:20,440 --> 00:41:22,360 Speaker 1: the back of our neck. We have a pair, like 695 00:41:22,360 --> 00:41:25,000 Speaker 1: there's both a pair like under your chin and then 696 00:41:25,040 --> 00:41:28,160 Speaker 1: at the base of your neck. Like you said, armpits. 697 00:41:28,400 --> 00:41:32,680 Speaker 1: We also have lymph nodes in the legs. 698 00:41:31,560 --> 00:41:35,320 Speaker 2: But yeah, they're clustered, they're most there, Their most visible 699 00:41:35,360 --> 00:41:38,640 Speaker 2: clusters are on those folds, I guess. 700 00:41:38,400 --> 00:41:40,680 Speaker 1: Right, And you'll feel them like if you have if 701 00:41:40,680 --> 00:41:43,360 Speaker 1: you ever had an infection. Sometimes you'll feel them and 702 00:41:43,360 --> 00:41:45,960 Speaker 1: they actually swell up a bit because they get inflamed 703 00:41:46,000 --> 00:41:48,960 Speaker 1: because they are kind of like the uh, waste management 704 00:41:49,120 --> 00:41:52,640 Speaker 1: centers of the body, where like they will help with 705 00:41:52,719 --> 00:41:59,359 Speaker 1: the flow of inflammatory cells. Uh. And then like when 706 00:42:00,040 --> 00:42:02,600 Speaker 1: when sort of like inflammation goes down, a lot of 707 00:42:02,600 --> 00:42:06,839 Speaker 1: that material is carried into the lymph nodes. Uh. And 708 00:42:06,920 --> 00:42:09,279 Speaker 1: so like it is kind of like they are very 709 00:42:09,320 --> 00:42:13,960 Speaker 1: reactive when you have an infection. But that's generally a 710 00:42:14,000 --> 00:42:16,799 Speaker 1: good thing, right because like you do want it's a 711 00:42:16,840 --> 00:42:18,400 Speaker 1: sign that your immune system is working. 712 00:42:19,719 --> 00:42:22,400 Speaker 2: Yeah. The unfortunate thing is that you're the human The 713 00:42:22,440 --> 00:42:25,239 Speaker 2: average human body cannot handle the speed at which your 714 00:42:25,239 --> 00:42:30,919 Speaker 2: siniopestics bacteria replicates. And so therefore it's basically and I'm 715 00:42:31,440 --> 00:42:33,360 Speaker 2: I'm trying to find a way to use this without 716 00:42:33,400 --> 00:42:37,000 Speaker 2: using another disease, but it's essentially giving your lymph nodes 717 00:42:37,040 --> 00:42:40,880 Speaker 2: a cancerous form of replication almost and I know that 718 00:42:40,880 --> 00:42:44,440 Speaker 2: that's not technically correct, but it's. 719 00:42:44,239 --> 00:42:48,000 Speaker 1: The exponential, right, It's the exponential growth of the bacteria. 720 00:42:48,360 --> 00:42:52,480 Speaker 1: It's like, there are so we can especially today, we 721 00:42:52,560 --> 00:42:55,160 Speaker 1: treat a lot of things with antibiotics, a lot of 722 00:42:55,160 --> 00:42:59,440 Speaker 1: bacterial infections with antibiotics, and so a lot of times 723 00:42:59,480 --> 00:43:03,560 Speaker 1: like bacterial infections are not such a big deal because 724 00:43:03,600 --> 00:43:05,600 Speaker 1: it's like, all right, we take an antibiotic and that 725 00:43:05,640 --> 00:43:10,640 Speaker 1: clears it up. There are some bacterial infections where it's 726 00:43:10,680 --> 00:43:13,480 Speaker 1: like the rate of replication of the bacteria are so 727 00:43:13,840 --> 00:43:18,319 Speaker 1: fast even our modern antibiotics can struggle to take care 728 00:43:18,360 --> 00:43:22,120 Speaker 1: of the infection. So things like necrotizing fasciitis is a 729 00:43:22,160 --> 00:43:27,680 Speaker 1: type of bacterial infection usually from like flesh wounds, where 730 00:43:27,840 --> 00:43:30,480 Speaker 1: it's just the rate of the bacterial growth is so 731 00:43:30,960 --> 00:43:35,520 Speaker 1: fast that it can be hard to treat it with antibiotics. 732 00:43:35,600 --> 00:43:38,959 Speaker 2: I mean, do you know what isn't one of those though, Yeah, 733 00:43:39,440 --> 00:43:44,200 Speaker 2: lague is a routine cycle of antibiotics will eliminate nowadays. 734 00:43:44,239 --> 00:43:46,920 Speaker 1: It is. It is something that is highly treatable. You 735 00:43:47,120 --> 00:43:49,880 Speaker 1: just do have to get it treated because if you don't, 736 00:43:50,000 --> 00:43:53,839 Speaker 1: it'll have the same effect as someone living, you know, 737 00:43:53,880 --> 00:43:56,480 Speaker 1: in the dark ages it's. 738 00:43:56,080 --> 00:43:58,440 Speaker 2: It's certainly one of those things. I see this happen 739 00:43:59,320 --> 00:44:02,600 Speaker 2: a lot on social media where somebody will share a 740 00:44:02,640 --> 00:44:08,120 Speaker 2: story about how somebody got plague Phoenix man gets plague. 741 00:44:08,080 --> 00:44:09,359 Speaker 1: And people panic. 742 00:44:09,600 --> 00:44:12,160 Speaker 2: And they go, oh, like we need this again. 743 00:44:12,400 --> 00:44:16,280 Speaker 1: Yeah, it's it happens. It happens every year. A few 744 00:44:16,280 --> 00:44:19,160 Speaker 1: people get plague in the US, about. 745 00:44:18,920 --> 00:44:21,920 Speaker 2: Twelve people a year. Yeah, get plague in the US. 746 00:44:22,320 --> 00:44:26,480 Speaker 2: It is the it's it's funny because of how dominant 747 00:44:26,520 --> 00:44:28,720 Speaker 2: it was back in the Y. It's like Michael Jordan 748 00:44:28,840 --> 00:44:32,080 Speaker 2: playing for the Wizards. You're like, man, you were dominant 749 00:44:32,080 --> 00:44:35,400 Speaker 2: at one point in time. I'm just not impressed. 750 00:44:35,840 --> 00:44:38,480 Speaker 1: Yeah. There's a few. Yeah, there's a few reasons that 751 00:44:38,560 --> 00:44:45,719 Speaker 1: plague is no longer a huge concern. One is like antibiotics, 752 00:44:46,600 --> 00:44:51,440 Speaker 1: that the power of antibiotics is really incredible. Also hygiene, 753 00:44:52,120 --> 00:44:55,400 Speaker 1: the fact that we human beings are no longer covered 754 00:44:56,000 --> 00:44:59,800 Speaker 1: in fleas and body lice pretty much at all times 755 00:45:00,120 --> 00:45:04,799 Speaker 1: we used to be. And so the combination of like 756 00:45:04,880 --> 00:45:09,399 Speaker 1: hygiene and antibiotics, like changes in our hygiene practices and 757 00:45:09,600 --> 00:45:12,120 Speaker 1: in our anti like people did not people would not 758 00:45:12,239 --> 00:45:16,160 Speaker 1: regularly bathe a lot like they would do some washing 759 00:45:16,200 --> 00:45:18,439 Speaker 1: like it's not true that they just like would never 760 00:45:18,719 --> 00:45:21,760 Speaker 1: wash themselves right there. There would be some forms of washing, 761 00:45:21,800 --> 00:45:26,080 Speaker 1: of course, like people people were not so fundamentally different 762 00:45:26,800 --> 00:45:30,680 Speaker 1: in you know, the olden times like in the Middle 763 00:45:30,719 --> 00:45:35,160 Speaker 1: Ages or medieval period that they also did not want 764 00:45:35,160 --> 00:45:39,799 Speaker 1: to reek and be stinky and gross. But it's not 765 00:45:39,840 --> 00:45:43,839 Speaker 1: like they had showers, and like heating up enough bath water, 766 00:45:43,880 --> 00:45:46,680 Speaker 1: getting enough bath water to take a bath was really hard. 767 00:45:46,760 --> 00:45:50,080 Speaker 1: So people would do things like wipe themselves down essentially 768 00:45:50,160 --> 00:45:53,080 Speaker 1: right like they do like little bird baths, like to 769 00:45:53,160 --> 00:45:56,160 Speaker 1: kind of like wipe themselves down to clean themselves. But 770 00:45:56,520 --> 00:45:59,560 Speaker 1: having like it's not like everyone had soap. That was 771 00:45:59,640 --> 00:46:04,160 Speaker 1: not like, you know, something that everyone could afford to have. Uh, 772 00:46:04,239 --> 00:46:09,000 Speaker 1: certainly people didn't just all have indoor plumbing. That was 773 00:46:09,480 --> 00:46:14,240 Speaker 1: you know, the mass availability of plumbing of like water. 774 00:46:14,480 --> 00:46:19,840 Speaker 2: Explaining chamber pots to eighth graders was real fun and 775 00:46:21,320 --> 00:46:25,000 Speaker 2: something something to wit to which we had mentioned earlier, 776 00:46:25,040 --> 00:46:28,240 Speaker 2: and I forgot to mention that like obviously like feces 777 00:46:28,280 --> 00:46:33,440 Speaker 2: doesn't carry plague, rats don't hate feces, that's true, and 778 00:46:33,440 --> 00:46:36,480 Speaker 2: and so they would Uh that's actually one of the 779 00:46:36,520 --> 00:46:40,600 Speaker 2: problems would with sort of the rats, and how it 780 00:46:40,680 --> 00:46:44,560 Speaker 2: was spread is that the as you had said, essentially 781 00:46:44,600 --> 00:46:48,120 Speaker 2: you'd have ditches, like sewage was ditches in the streets 782 00:46:48,200 --> 00:46:51,400 Speaker 2: that people would empty their pots into and the rats 783 00:46:51,760 --> 00:46:54,880 Speaker 2: fucking loved that. They that is like that is like 784 00:46:54,920 --> 00:46:59,600 Speaker 2: a rat yeah and so h and so in that 785 00:46:59,640 --> 00:47:02,040 Speaker 2: regard too, like that's that is how a lot of 786 00:47:02,040 --> 00:47:05,120 Speaker 2: people would you know, literally that the process of showing 787 00:47:05,200 --> 00:47:09,160 Speaker 2: away a rat could get Yeah, the thing that would 788 00:47:09,200 --> 00:47:10,560 Speaker 2: have given And actually. 789 00:47:10,280 --> 00:47:12,919 Speaker 1: Like even if it was like, well we can kill 790 00:47:13,040 --> 00:47:15,640 Speaker 1: rats and that should help with the plague, right, Well, 791 00:47:16,239 --> 00:47:18,160 Speaker 1: when a rat dies, where do the fleas go? 792 00:47:19,320 --> 00:47:21,480 Speaker 2: Yeah? Yeah, they're not going to stick around, so they're 793 00:47:21,480 --> 00:47:21,920 Speaker 2: going to move. 794 00:47:22,160 --> 00:47:25,000 Speaker 1: So like, in fact, a lot of plagues were preceded 795 00:47:25,040 --> 00:47:27,319 Speaker 1: by something called rat fall, where it was like a 796 00:47:27,360 --> 00:47:30,760 Speaker 1: bunch of rats dying and then you started seeing plague 797 00:47:30,800 --> 00:47:33,120 Speaker 1: and people because the rats would get the plague first 798 00:47:33,120 --> 00:47:35,399 Speaker 1: and they'd start dying. And then when the rats die, 799 00:47:35,719 --> 00:47:39,360 Speaker 1: the fleas jump to somewhere else, which was often humans 800 00:47:39,640 --> 00:47:42,399 Speaker 1: because they lived near humans, and so you would get 801 00:47:42,400 --> 00:47:47,120 Speaker 1: this kind of like very notable rat die off before 802 00:47:47,719 --> 00:47:52,040 Speaker 1: a plague outbreak. But something that is really interesting is 803 00:47:52,120 --> 00:47:58,759 Speaker 1: like the commonly understood knowledge is that rats were the 804 00:47:58,800 --> 00:48:02,880 Speaker 1: main drivers of plague and we're the drivers of the 805 00:48:02,880 --> 00:48:08,200 Speaker 1: Black Death. But there is a more recent sort of 806 00:48:09,000 --> 00:48:11,680 Speaker 1: method of research that is examining this and it's not 807 00:48:11,920 --> 00:48:17,799 Speaker 1: it's not questioning whether rats transmit the plague. That's absolutely 808 00:48:18,000 --> 00:48:21,359 Speaker 1: know that we know that rats carry plague and can 809 00:48:21,360 --> 00:48:25,200 Speaker 1: transmit it to humans and can definitely either spark a 810 00:48:25,239 --> 00:48:28,640 Speaker 1: plague or contribute to a plague. But the question is 811 00:48:28,760 --> 00:48:34,480 Speaker 1: we're rats the main culprits behind the Black Death plague. 812 00:48:35,200 --> 00:48:37,799 Speaker 2: That's interesting. I'm interested to see where this is going. 813 00:48:37,960 --> 00:48:41,920 Speaker 1: Yeah, So this is covered by a National Geographic article 814 00:48:42,000 --> 00:48:47,880 Speaker 1: by Michael Greshko which highlights a paper in PNAS called 815 00:48:47,960 --> 00:48:50,680 Speaker 1: Human Ectoparasites in the Spread of Plague in Europe during 816 00:48:50,719 --> 00:48:56,319 Speaker 1: the Second Pandemic by Dean Krawer, Wallow, and Schmid. So, 817 00:48:56,560 --> 00:49:04,200 Speaker 1: these researchers used these models to kind of plot out 818 00:49:04,800 --> 00:49:11,239 Speaker 1: essentially expected human versus rat caused propagation of plague. So 819 00:49:11,400 --> 00:49:14,080 Speaker 1: like if you they looked at like, okay, if you 820 00:49:14,360 --> 00:49:17,880 Speaker 1: if it was primarily rap to human propagation of plague 821 00:49:18,280 --> 00:49:21,200 Speaker 1: or human to human propagation of plague, what would it 822 00:49:21,239 --> 00:49:24,399 Speaker 1: look like in this model? That they created and then 823 00:49:24,480 --> 00:49:30,279 Speaker 1: compared that to historical records of mortality patterns during the 824 00:49:30,320 --> 00:49:34,840 Speaker 1: Second Plague pandemic during like different kind of plague outbreaks, 825 00:49:34,840 --> 00:49:39,200 Speaker 1: different cities, and they found that not in all, but 826 00:49:39,360 --> 00:49:43,440 Speaker 1: in most cases that they examined, the human spread model, 827 00:49:43,520 --> 00:49:47,040 Speaker 1: like primarily it being from human to human was a 828 00:49:47,280 --> 00:49:53,280 Speaker 1: better fit for historical mortality records than rat to human driven. 829 00:49:54,239 --> 00:49:59,480 Speaker 2: That's interesting. I obviously, you know, I'm not an expert 830 00:49:59,520 --> 00:50:01,880 Speaker 2: and I'm not s studying that. I think that that 831 00:50:01,960 --> 00:50:04,080 Speaker 2: also does kind of feel like it has a slightly 832 00:50:04,120 --> 00:50:08,880 Speaker 2: semantic point to it, which is like, well, once it 833 00:50:08,920 --> 00:50:11,640 Speaker 2: got into the humans, they spread it faster. It's like, well, yeah, 834 00:50:11,680 --> 00:50:13,319 Speaker 2: we hang out with humans more than we hang out 835 00:50:13,320 --> 00:50:17,720 Speaker 2: with rats. But the fact that the usiniapesist bacteria lays 836 00:50:17,920 --> 00:50:23,560 Speaker 2: essentially dormant in a rat's body, it doesn't particularly kill 837 00:50:23,640 --> 00:50:29,440 Speaker 2: them the way it kills us, obviously like they're going 838 00:50:29,480 --> 00:50:33,759 Speaker 2: to have a more a greater efficacy in doing that, 839 00:50:33,840 --> 00:50:37,560 Speaker 2: as opposed to the humans who are like, oh yeah, 840 00:50:37,760 --> 00:50:40,480 Speaker 2: these swellings in here. People are like I'm out, I'm gone. 841 00:50:40,960 --> 00:50:44,279 Speaker 1: No, I mean, it's an it's an unexpected thing, right, 842 00:50:44,440 --> 00:50:50,040 Speaker 1: But like the idea is not necessarily that I think 843 00:50:50,080 --> 00:50:53,160 Speaker 1: it's like, it's not it's not necessarily semantic, because it 844 00:50:53,400 --> 00:50:59,080 Speaker 1: is the idea of like what because if it's kind 845 00:50:59,080 --> 00:51:03,000 Speaker 1: of tracking like the patterns of the Black Death and 846 00:51:03,040 --> 00:51:05,919 Speaker 1: the plague in terms of like, was it like these 847 00:51:06,040 --> 00:51:12,120 Speaker 1: human sort of social and travel patterns driving plague or 848 00:51:12,280 --> 00:51:17,200 Speaker 1: was it that you know, you had, say, like a 849 00:51:17,280 --> 00:51:20,200 Speaker 1: rat population in this area that was the one that 850 00:51:20,280 --> 00:51:22,560 Speaker 1: like triggered the plague or drove the plague. And in 851 00:51:22,680 --> 00:51:27,600 Speaker 1: terms of like, I think that the the interesting aspect 852 00:51:27,680 --> 00:51:30,839 Speaker 1: of this is like, obviously it's not like disproving that 853 00:51:30,960 --> 00:51:36,080 Speaker 1: rats can cause or exacerbate plague in areas. It is 854 00:51:36,960 --> 00:51:41,080 Speaker 1: kind of figuring out what exactly, like what drove specific 855 00:51:41,600 --> 00:51:44,840 Speaker 1: plague outright, Yeah, yeah. 856 00:51:44,600 --> 00:51:48,680 Speaker 2: Exactly, Yeah, absolutely, trade and and so that that's that's 857 00:51:48,680 --> 00:51:52,000 Speaker 2: a point. That's a part of it is that you know, yes, 858 00:51:52,120 --> 00:51:54,480 Speaker 2: humans did that, but also it's important to note how 859 00:51:54,480 --> 00:51:56,480 Speaker 2: many rats like to hang out on trade chips. 860 00:51:56,600 --> 00:51:59,360 Speaker 1: No, I mean that's a that's a really complicating factor. 861 00:51:59,560 --> 00:52:03,720 Speaker 1: I mean, well, rats and trade routes, like trade routes 862 00:52:04,200 --> 00:52:08,440 Speaker 1: determined the where rats ended up because rats are not 863 00:52:08,480 --> 00:52:11,640 Speaker 1: it's not like rats suddenly popped up on every continent 864 00:52:11,680 --> 00:52:15,640 Speaker 1: in the world. Rats probably originated I mean I think 865 00:52:17,400 --> 00:52:22,279 Speaker 1: they may have originated in Southeast Asia or China, and 866 00:52:22,320 --> 00:52:25,959 Speaker 1: then they eventually got into all corners of the route 867 00:52:26,280 --> 00:52:30,279 Speaker 1: of the world through human trade. So like so if 868 00:52:30,280 --> 00:52:34,040 Speaker 1: you're looking at trade routes, right, it's it's gonna be 869 00:52:34,080 --> 00:52:36,440 Speaker 1: hard to tease a part whether the humans on the 870 00:52:36,440 --> 00:52:39,000 Speaker 1: boat were spreading plague or whether the rats on the 871 00:52:39,040 --> 00:52:41,520 Speaker 1: boat were spreading plague, because there was not a boat 872 00:52:41,560 --> 00:52:44,280 Speaker 1: that didn't have rats on it at this time. 873 00:52:45,239 --> 00:52:50,279 Speaker 2: And it's it's important to see too because obviously, like 874 00:52:50,360 --> 00:52:52,399 Speaker 2: when when I would teach about trade and you would 875 00:52:52,440 --> 00:52:54,840 Speaker 2: talk about like, look, it's the answer for all trade 876 00:52:54,920 --> 00:52:59,359 Speaker 2: is water. Like water is is your trade inlet so 877 00:52:59,600 --> 00:53:03,440 Speaker 2: like your highways. And if I may kind of branch 878 00:53:03,480 --> 00:53:06,160 Speaker 2: off for a split second, I would I would actually 879 00:53:06,160 --> 00:53:09,560 Speaker 2: compare because this was you know, you know, twenty twelve, 880 00:53:09,719 --> 00:53:13,360 Speaker 2: and before I would, I would compare towns and cities 881 00:53:13,880 --> 00:53:17,399 Speaker 2: to malls. And you would say, like if you pick 882 00:53:17,440 --> 00:53:19,360 Speaker 2: a mall, like imagine a mall in your head, and 883 00:53:19,400 --> 00:53:21,960 Speaker 2: anybody who is listening picture your local mall if it's 884 00:53:22,000 --> 00:53:24,440 Speaker 2: still open, and you will know that it is among 885 00:53:24,480 --> 00:53:26,840 Speaker 2: two major trade routes, and by say trade routes, I 886 00:53:26,880 --> 00:53:31,080 Speaker 2: mean highways. So like malls are almost always wedged between 887 00:53:31,200 --> 00:53:36,160 Speaker 2: two major highways, Los Angeles has a slightly different scenario 888 00:53:36,200 --> 00:53:39,919 Speaker 2: on that because it's a more of a whatever. 889 00:53:39,800 --> 00:53:43,120 Speaker 1: Endless web of tangled intersections. 890 00:53:43,640 --> 00:53:47,960 Speaker 2: But for most people, like if you live in you know, Massachusetts, 891 00:53:48,120 --> 00:53:50,520 Speaker 2: and you're like, oh, the Auburn Mall, because that was ours, 892 00:53:50,520 --> 00:53:52,080 Speaker 2: the Auburn Mall, and I'd be like, look, there's the 893 00:53:52,080 --> 00:53:54,160 Speaker 2: mass Pike, there's two ninety, there's three ninety five, there's 894 00:53:54,239 --> 00:53:56,560 Speaker 2: rough twenty right in the middle of those intersections as 895 00:53:56,600 --> 00:53:58,960 Speaker 2: a mall, and you would do that with every major 896 00:53:59,040 --> 00:54:00,959 Speaker 2: mall in an area. Yeah, and you'd be like, here's 897 00:54:01,040 --> 00:54:04,600 Speaker 2: where the two highways intersect. There's them all, and the 898 00:54:04,640 --> 00:54:06,800 Speaker 2: bigger the highway, the more successful to them all that 899 00:54:07,440 --> 00:54:12,800 Speaker 2: so that same thing. Waterways were the highways of history obviously, 900 00:54:13,239 --> 00:54:18,920 Speaker 2: and so the more waterways you had, if you look 901 00:54:18,960 --> 00:54:20,719 Speaker 2: at it, you're going to say, obviously, the more trade. 902 00:54:20,719 --> 00:54:24,120 Speaker 2: But that's also going to show you the more plague. 903 00:54:23,840 --> 00:54:27,440 Speaker 1: Deaths, right, and the more and the more rats. 904 00:54:27,480 --> 00:54:31,239 Speaker 2: Which is yeah, which is why Italy got hit so 905 00:54:31,440 --> 00:54:36,520 Speaker 2: brutally is because they were the trade center of Europe. Yeah, 906 00:54:36,560 --> 00:54:38,560 Speaker 2: and so you know when you talk about you know, 907 00:54:39,040 --> 00:54:43,040 Speaker 2: the Lombard Leagues and all the stuff that went through 908 00:54:43,040 --> 00:54:46,680 Speaker 2: there and all the trade battles and wars that were 909 00:54:46,680 --> 00:54:47,000 Speaker 2: going on. 910 00:54:47,160 --> 00:54:49,080 Speaker 1: And also Italy used to be a bunch of different 911 00:54:49,120 --> 00:54:52,840 Speaker 1: countries ruled by like incredibly wealthy families. 912 00:54:53,680 --> 00:54:56,840 Speaker 2: So yeah, yeah, everyone thinks Italy is super old, and 913 00:54:56,840 --> 00:54:58,879 Speaker 2: it's like that's like eighteen eighty or something. 914 00:54:59,200 --> 00:55:03,480 Speaker 1: Yeah, I mean, definitely stuff is super old here because 915 00:55:03,560 --> 00:55:07,799 Speaker 1: like there's the buildings still exist. But yeah, Italy is 916 00:55:07,800 --> 00:55:11,840 Speaker 1: a unified countries relatively recent from the eighteen hundreds. 917 00:55:12,400 --> 00:55:16,920 Speaker 2: Italy and Germany are incredibly young countries, yes, just they 918 00:55:17,000 --> 00:55:21,000 Speaker 2: happen to be existing on incredibly ancient Yeah. 919 00:55:21,040 --> 00:55:22,480 Speaker 1: Younger than the US. 920 00:55:23,040 --> 00:55:27,640 Speaker 2: Oh yeah, by like by a century, yes, but so 921 00:55:27,840 --> 00:55:30,920 Speaker 2: like but when you see like Italy got decimated and 922 00:55:30,960 --> 00:55:33,600 Speaker 2: then you look at like all the different trade porting 923 00:55:33,680 --> 00:55:36,840 Speaker 2: cities in all these different areas and they got absolutely destroyed. 924 00:55:36,960 --> 00:55:40,279 Speaker 2: It's actually one of the reasons that the like the 925 00:55:40,960 --> 00:55:46,279 Speaker 2: web the crust of the of Britain got absolutely decimated 926 00:55:46,360 --> 00:55:49,439 Speaker 2: because of of all the trade. Like islands got hit 927 00:55:49,520 --> 00:55:55,120 Speaker 2: real bad because you know, there's no there's no escape really. 928 00:55:55,360 --> 00:55:57,560 Speaker 1: Yeah, And so I think like when you're looking at 929 00:55:57,719 --> 00:56:00,919 Speaker 1: like whether it fall, it's it absolutely follows trade routes. 930 00:56:00,960 --> 00:56:02,959 Speaker 1: But then that doesn't really inform us too much about 931 00:56:02,960 --> 00:56:05,239 Speaker 1: whether it was humans or rats. Right, Like you could 932 00:56:05,239 --> 00:56:08,000 Speaker 1: say like, well, humans caused it because we're the ones 933 00:56:08,040 --> 00:56:10,319 Speaker 1: on the boats, But when we're talking in terms of 934 00:56:10,360 --> 00:56:13,480 Speaker 1: sort of an epidemiological perspective, it's like, well, y is 935 00:56:13,520 --> 00:56:16,600 Speaker 1: it from rat to human or human to human? And 936 00:56:16,680 --> 00:56:20,640 Speaker 1: so what this these researchers are contending is that while 937 00:56:20,960 --> 00:56:24,160 Speaker 1: it doesn't account for all of the outbreaks, like a 938 00:56:24,160 --> 00:56:27,840 Speaker 1: lot of outbreaks at this time may have been mainly 939 00:56:28,600 --> 00:56:34,160 Speaker 1: like driven from human, like direct human to human transmission 940 00:56:34,320 --> 00:56:37,000 Speaker 1: rather than rat to human. Even if the rat to 941 00:56:37,080 --> 00:56:42,280 Speaker 1: human initiated it, there may have been greater amounts of 942 00:56:42,320 --> 00:56:45,280 Speaker 1: like human to human transmission once the ball got rolling. 943 00:56:45,920 --> 00:56:48,520 Speaker 2: Yeah, it's I think it's it's the rats are the 944 00:56:48,520 --> 00:56:54,720 Speaker 2: match and the forest fire happened, Yeah, exactly off the match. 945 00:56:55,120 --> 00:56:57,479 Speaker 1: So one one last thing I want to talk about 946 00:56:57,480 --> 00:56:59,960 Speaker 1: with in terms of rats is there's this really interesting thing, 947 00:57:00,080 --> 00:57:04,480 Speaker 1: which is that because rats are so closely tied to 948 00:57:05,000 --> 00:57:09,600 Speaker 1: humans in terms of they I mean, they love us, 949 00:57:09,600 --> 00:57:12,880 Speaker 1: they love our buildings, they love our food, and anywhere 950 00:57:12,960 --> 00:57:19,000 Speaker 1: humans go pretty much rats will follow. They can actually 951 00:57:19,000 --> 00:57:23,720 Speaker 1: give us clues in terms of human history, archaeological clues 952 00:57:24,240 --> 00:57:27,560 Speaker 1: when we can't say use like direct evidence from humans, 953 00:57:27,600 --> 00:57:31,600 Speaker 1: we can actually examine rats, you know, rat bones in 954 00:57:31,800 --> 00:57:34,520 Speaker 1: order to understand what humans were doing at the time, 955 00:57:34,560 --> 00:57:37,920 Speaker 1: because the rats would be essentially hanging around the humans. 956 00:57:37,960 --> 00:57:41,560 Speaker 1: So there's a study by Swift at All that looked 957 00:57:41,560 --> 00:57:45,800 Speaker 1: at rat bones found on Polynesian islands, and analysis of 958 00:57:45,840 --> 00:57:49,400 Speaker 1: these bones allowed researchers to actually infer the diet of 959 00:57:49,600 --> 00:57:55,120 Speaker 1: humans from two thousand years ago, because the rats were 960 00:57:55,240 --> 00:57:58,600 Speaker 1: understood to have probably eaten a lot of our scraps. 961 00:57:58,600 --> 00:58:00,520 Speaker 1: And so if you find these rat bones that have 962 00:58:01,720 --> 00:58:04,640 Speaker 1: sort of interesting sort of composition in an area of 963 00:58:04,680 --> 00:58:07,280 Speaker 1: the island, you can actually kind of infer like what 964 00:58:07,360 --> 00:58:11,160 Speaker 1: kind of agriculture were we doing? Were people eating a 965 00:58:11,200 --> 00:58:13,120 Speaker 1: lot of fish or were they eating a lot of 966 00:58:13,320 --> 00:58:17,240 Speaker 1: sort of you know, fruits and vegetables and stuff and so. 967 00:58:18,240 --> 00:58:21,240 Speaker 1: And the reason you would use rat bones not human 968 00:58:21,280 --> 00:58:25,120 Speaker 1: bones is just because of the abundance of rat bones. 969 00:58:25,200 --> 00:58:28,439 Speaker 1: Rats are super abundant and they can provide a huge 970 00:58:28,440 --> 00:58:33,560 Speaker 1: amount of archaeological samples over vast periods of time, so. 971 00:58:33,560 --> 00:58:37,600 Speaker 2: Many bones, so many bones. We love a rat bone. Yeah, 972 00:58:37,080 --> 00:58:40,200 Speaker 2: and again like it's one of those things where we 973 00:58:40,280 --> 00:58:42,800 Speaker 2: came in here, and like, obviously there's a lot of 974 00:58:43,560 --> 00:58:47,880 Speaker 2: negativity about rats. I get it, Like I understand. I 975 00:58:47,880 --> 00:58:50,360 Speaker 2: don't feel comfortable when I see a rat. No, I 976 00:58:50,400 --> 00:58:52,560 Speaker 2: feel like if we're over someone like there are there 977 00:58:52,600 --> 00:58:54,480 Speaker 2: are also like and this is weird, not to be 978 00:58:55,200 --> 00:58:58,680 Speaker 2: not to insult any listeners, but like rat ownership is 979 00:58:58,720 --> 00:59:00,760 Speaker 2: like right on a par with snake ownership with me, 980 00:59:01,360 --> 00:59:03,240 Speaker 2: where like when I know somebody that has one of 981 00:59:03,280 --> 00:59:05,040 Speaker 2: those animals, I'm like, I don't think we need to 982 00:59:05,080 --> 00:59:08,640 Speaker 2: hang out, maybe a little judgmental. 983 00:59:09,000 --> 00:59:11,960 Speaker 1: I like them. I don't have a rat or a snake, 984 00:59:12,040 --> 00:59:14,360 Speaker 1: but if someone owns a rat or a snake, I 985 00:59:14,400 --> 00:59:16,360 Speaker 1: want to pet the rat. Well, I don't want to 986 00:59:16,360 --> 00:59:18,400 Speaker 1: pet the snake. I want the snake to just I 987 00:59:18,480 --> 00:59:20,360 Speaker 1: want to chill with the snake because I don't think 988 00:59:20,360 --> 00:59:23,640 Speaker 1: the snake likes to be pet but I'm into it. 989 00:59:23,720 --> 00:59:27,120 Speaker 1: I don't. I don't like to me. The the problem 990 00:59:27,200 --> 00:59:29,280 Speaker 1: with owning a rat to me is I feel like 991 00:59:29,280 --> 00:59:31,640 Speaker 1: I would make an emotional connection to this rat. And 992 00:59:31,800 --> 00:59:34,080 Speaker 1: the rats live span is pretty short. It's like two 993 00:59:34,160 --> 00:59:37,360 Speaker 1: to four years, and that just feels because like apparently 994 00:59:37,440 --> 00:59:40,720 Speaker 1: rats get really like attached to you and like they 995 00:59:40,840 --> 00:59:43,440 Speaker 1: will snuggle up to you and come when you call 996 00:59:43,480 --> 00:59:46,000 Speaker 1: their name and stuff, and that's like like okay, So 997 00:59:46,200 --> 00:59:50,880 Speaker 1: essentially this is a small trash dog and so if 998 00:59:50,920 --> 00:59:53,000 Speaker 1: it's got such a short live span, I feel like 999 00:59:53,040 --> 00:59:53,960 Speaker 1: it would destroy me. 1000 00:59:54,920 --> 00:59:57,160 Speaker 2: Every two years, you'd have to make across to that 1001 00:59:57,320 --> 00:59:58,200 Speaker 2: rainbow bridge. 1002 00:59:58,360 --> 01:00:02,480 Speaker 1: Yeah, yeah, no, it's that's too much. That's too much 1003 01:00:02,480 --> 01:00:05,560 Speaker 1: for me. But look, I I I understand the appeal 1004 01:00:05,560 --> 01:00:08,600 Speaker 1: of them as pets because they are I mean, you. 1005 01:00:08,600 --> 01:00:10,000 Speaker 2: Can tickle the guys. 1006 01:00:10,160 --> 01:00:12,360 Speaker 1: You can tickle, you can tickle them, and then they 1007 01:00:12,600 --> 01:00:16,439 Speaker 1: I mean, we can't necessarily hear uh these squeaks because 1008 01:00:16,440 --> 01:00:18,160 Speaker 1: they're so high pitched. But you can tickle them and 1009 01:00:18,200 --> 01:00:20,720 Speaker 1: then they make really high pitched squeaks because they're essentially 1010 01:00:20,720 --> 01:00:22,200 Speaker 1: giggling and that's adorable. 1011 01:00:23,560 --> 01:00:30,160 Speaker 2: Yeah, and then you know, they wipe out a massive population. Yeah. 1012 01:00:30,160 --> 01:00:34,520 Speaker 2: Also and also like take little dumps by my laundry. Well, 1013 01:00:34,680 --> 01:00:36,600 Speaker 2: and I don't like that. Well, I don't like that 1014 01:00:37,200 --> 01:00:38,840 Speaker 2: I have to I have to. I had to take 1015 01:00:38,840 --> 01:00:42,000 Speaker 2: a little dustbuster and suck up some turds that were 1016 01:00:42,000 --> 01:00:42,520 Speaker 2: next to my. 1017 01:00:42,680 --> 01:00:46,680 Speaker 1: Uh who among us hasn't done taken a dump near 1018 01:00:46,760 --> 01:00:47,520 Speaker 1: Jeff's laundry? 1019 01:00:47,520 --> 01:00:51,360 Speaker 2: Though, well it is fair. I do have a rotating 1020 01:00:52,720 --> 01:00:54,240 Speaker 2: scenario where that does happen. 1021 01:00:54,920 --> 01:00:57,600 Speaker 1: Uh. Anyways, Jeff, before we go, we got to play 1022 01:00:57,640 --> 01:01:00,800 Speaker 1: a little game called Guess Who's squaw and the Mystery 1023 01:01:00,800 --> 01:01:05,520 Speaker 1: Animal Sound Game. Every week I select a sound for you, 1024 01:01:05,600 --> 01:01:07,480 Speaker 1: and you the listener, and you the guests, try to 1025 01:01:07,520 --> 01:01:09,919 Speaker 1: guess who is making this sound. It can be any 1026 01:01:09,960 --> 01:01:13,200 Speaker 1: animal in the world. The hint for this one is 1027 01:01:13,600 --> 01:01:17,160 Speaker 1: this is a very common sound, so the trick is 1028 01:01:17,200 --> 01:01:26,280 Speaker 1: more about the timing. All right, you. 1029 01:01:26,280 --> 01:01:31,680 Speaker 2: Got any guesses, I'm gonna guess it's We used to 1030 01:01:31,720 --> 01:01:34,440 Speaker 2: call them peepers, the little frogs, A little frog. 1031 01:01:36,480 --> 01:01:40,400 Speaker 1: That is a very good guess. This is actually a cricket, 1032 01:01:41,000 --> 01:01:47,040 Speaker 1: but it has been slowed down significantly. So this is 1033 01:01:47,880 --> 01:01:51,320 Speaker 1: the sound that a cricket chirp makes. And we're not 1034 01:01:51,520 --> 01:01:55,040 Speaker 1: just slowing it down to trick you, although that's definitely 1035 01:01:55,080 --> 01:01:59,280 Speaker 1: part of it, and I love tricking people. But part 1036 01:01:59,320 --> 01:02:02,560 Speaker 1: of it is this concept that something like a cricket 1037 01:02:02,680 --> 01:02:06,280 Speaker 1: may experience the world in a different way that we 1038 01:02:06,400 --> 01:02:11,880 Speaker 1: do in terms of like the sort of the idea 1039 01:02:12,000 --> 01:02:14,880 Speaker 1: is that there is a rate at which their brains 1040 01:02:14,920 --> 01:02:19,160 Speaker 1: can process information that is a lot slower, and so 1041 01:02:20,280 --> 01:02:22,720 Speaker 1: when they would experience the world things would actually kind 1042 01:02:22,760 --> 01:02:26,640 Speaker 1: of be slowed down in a crickety way. It's hard 1043 01:02:26,680 --> 01:02:28,000 Speaker 1: to know what it would be like to be a 1044 01:02:28,040 --> 01:02:31,440 Speaker 1: cricket because they're just so incredibly different. It's not like 1045 01:02:31,640 --> 01:02:34,680 Speaker 1: avataring a human consciousness inside a cricket body. 1046 01:02:35,000 --> 01:02:37,240 Speaker 2: No, you'd have to like rub your legs together. 1047 01:02:37,600 --> 01:02:42,600 Speaker 1: Yeah, well essentially, yes, So crickets use stridulation to produce 1048 01:02:42,680 --> 01:02:47,080 Speaker 1: their chip chirping sound, which is rubbing these textured parts together, 1049 01:02:47,160 --> 01:02:51,240 Speaker 1: like their legs, and male crickets chirp to attract females 1050 01:02:51,440 --> 01:02:55,600 Speaker 1: as well as worn males away from their territory. Weirdly, 1051 01:02:55,760 --> 01:02:59,760 Speaker 1: sometimes they also will chirp after mating as a way 1052 01:02:59,800 --> 01:03:02,600 Speaker 1: to encourage the female to kind of like stick around 1053 01:03:02,720 --> 01:03:05,240 Speaker 1: and lay our eggs rather than just go off and 1054 01:03:05,280 --> 01:03:10,080 Speaker 1: mate with another male immediately. So very romantic. 1055 01:03:11,160 --> 01:03:14,600 Speaker 2: Yeah, I I always like, uh so not to make 1056 01:03:14,600 --> 01:03:16,640 Speaker 2: this episode about things that have been in my house, 1057 01:03:16,720 --> 01:03:19,400 Speaker 2: but like you know, whenever a cricket gets in the house. 1058 01:03:20,040 --> 01:03:22,120 Speaker 2: Cricket gets in the house and it starts chirping, and 1059 01:03:22,160 --> 01:03:25,760 Speaker 2: you're like, you're not gonna get laid in here, man, Yeah, 1060 01:03:25,800 --> 01:03:27,640 Speaker 2: it's not gonna work. What are you doing. Let's get 1061 01:03:27,640 --> 01:03:28,040 Speaker 2: out of here. 1062 01:03:28,280 --> 01:03:30,760 Speaker 1: This isn't This isn't speed dating for crickets. It's the 1063 01:03:30,840 --> 01:03:33,480 Speaker 1: laundry room with a pile of rath turns in it. 1064 01:03:34,080 --> 01:03:37,640 Speaker 2: Yeah, it's just two humans in a rat. You're not 1065 01:03:37,680 --> 01:03:39,120 Speaker 2: going to get anything out of this, right. 1066 01:03:39,400 --> 01:03:42,120 Speaker 1: That would be a great name for like a singles bar, though, 1067 01:03:42,160 --> 01:03:44,960 Speaker 1: two humans in a rat, Yeah. 1068 01:03:44,760 --> 01:03:47,880 Speaker 2: I mean that's that. Seems like every third person would 1069 01:03:47,920 --> 01:03:49,360 Speaker 2: get side eyed pretty hard in there. 1070 01:03:49,640 --> 01:03:51,520 Speaker 1: Yeah. But you know, if we could have like a 1071 01:03:51,600 --> 01:03:55,880 Speaker 1: ratituey for dating, right, like a Ratituey wingman, I guess 1072 01:03:55,880 --> 01:03:56,840 Speaker 1: that was in the movie. 1073 01:03:57,760 --> 01:04:01,280 Speaker 2: That would make my life so much easier. Oh my god. 1074 01:04:01,320 --> 01:04:03,360 Speaker 2: If I could have a ratitudey for dating, I think 1075 01:04:03,760 --> 01:04:05,680 Speaker 2: I think a lot of men have tried that, and 1076 01:04:05,840 --> 01:04:09,760 Speaker 2: those are called the rats are called pickup artists. 1077 01:04:09,640 --> 01:04:11,760 Speaker 1: Right exactly, We've already got I'm not going to. 1078 01:04:11,920 --> 01:04:14,960 Speaker 2: I'm not going to insult rats, no compe them to 1079 01:04:15,120 --> 01:04:17,520 Speaker 2: mystery like but I think. 1080 01:04:17,360 --> 01:04:20,240 Speaker 1: If you put a rat on your head, just a 1081 01:04:20,280 --> 01:04:23,040 Speaker 1: normal rat, not even a Pixar ratituy rat, just a 1082 01:04:23,080 --> 01:04:26,200 Speaker 1: normal rat, you would still be more attractive to women 1083 01:04:26,360 --> 01:04:28,120 Speaker 1: than if you listen to a pickup. 1084 01:04:27,880 --> 01:04:31,000 Speaker 2: Artist and that's your peacocking putting the rat on you, 1085 01:04:31,320 --> 01:04:32,560 Speaker 2: I'll be like, what's that rat on. 1086 01:04:32,560 --> 01:04:36,360 Speaker 1: Your You will be I can guarantee you. I can 1087 01:04:36,360 --> 01:04:38,640 Speaker 1: guarantee you this. You will be noticed if you put 1088 01:04:38,640 --> 01:04:44,200 Speaker 1: a rat on your head. So here is another sound 1089 01:04:44,240 --> 01:04:47,680 Speaker 1: for you to give. This is the hint for this 1090 01:04:47,720 --> 01:04:51,000 Speaker 1: one is uh. It gets its name from the sound 1091 01:04:51,040 --> 01:04:53,640 Speaker 1: it makes, not for sitting at the cool kids table 1092 01:04:53,640 --> 01:05:03,440 Speaker 1: in high school? All right, Jeff, you got any guesses? 1093 01:05:05,200 --> 01:05:07,720 Speaker 2: Was the sound I was listening for that little like knocking? 1094 01:05:07,920 --> 01:05:08,240 Speaker 1: Yes? 1095 01:05:09,200 --> 01:05:15,440 Speaker 2: Oh cracle, yeah circle? 1096 01:05:15,600 --> 01:05:16,440 Speaker 1: You got it? 1097 01:05:17,440 --> 01:05:22,560 Speaker 2: Did I guess that? I mean? Now? That was that 1098 01:05:22,560 --> 01:05:26,440 Speaker 2: that I couldn't even figure out, Like I was so 1099 01:05:26,600 --> 01:05:30,800 Speaker 2: focused on the uh, the hint that I was like, 1100 01:05:30,920 --> 01:05:35,080 Speaker 2: not from the cool kids table? Got nothing? 1101 01:05:37,960 --> 01:05:41,480 Speaker 1: All right? Is it c ercle or cucku Burrough? Well 1102 01:05:41,520 --> 01:05:44,800 Speaker 1: we'll find out next time on Creature feature. Jeff, thank 1103 01:05:44,800 --> 01:05:46,840 Speaker 1: you so much for joining Where can people find you? 1104 01:05:47,480 --> 01:05:49,800 Speaker 2: Thanks for having me? Well I am at hey there, 1105 01:05:49,880 --> 01:05:52,040 Speaker 2: Jeff row h y t h e r e j 1106 01:05:52,200 --> 01:05:54,960 Speaker 2: E f f r O on all social media, including 1107 01:05:54,960 --> 01:05:58,640 Speaker 2: my YouTube. My YouTube. Every Wednesday I opened up packs 1108 01:05:58,680 --> 01:06:01,200 Speaker 2: of trading cards on camera and Katie it is the most. 1109 01:06:00,960 --> 01:06:02,560 Speaker 1: Fun thing that it sounds very fun. 1110 01:06:03,160 --> 01:06:05,640 Speaker 2: It's so fun and people really like it, so I'm 1111 01:06:05,640 --> 01:06:07,880 Speaker 2: gonna keep doing it. But you can check that out. 1112 01:06:07,960 --> 01:06:11,280 Speaker 2: I do some would say too many podcasts, but not me. 1113 01:06:11,560 --> 01:06:13,360 Speaker 2: I have shows like Jeff Has Cool Friends, which you 1114 01:06:13,400 --> 01:06:15,680 Speaker 2: had mentioned earlier. I do a great show called Nerd 1115 01:06:15,720 --> 01:06:18,320 Speaker 2: with Drey Alvarez and U Fine with Kim Crawl. Those 1116 01:06:18,360 --> 01:06:20,880 Speaker 2: are all available at pictureon dot com slash Jeff may 1117 01:06:21,240 --> 01:06:23,480 Speaker 2: for early access to on some episodes with bonus content, 1118 01:06:23,840 --> 01:06:27,280 Speaker 2: or you can get them for free Otherwise. I do 1119 01:06:27,720 --> 01:06:30,600 Speaker 2: Tom and Jeff watch Fatman with Tom Raeman of Gamefully Unemployed, 1120 01:06:30,640 --> 01:06:32,640 Speaker 2: and I do a lot of shows with Adam Todd 1121 01:06:32,640 --> 01:06:35,040 Speaker 2: Brown on that you don't even like podcast Networks, which 1122 01:06:35,120 --> 01:06:37,080 Speaker 2: is you don't even like this show, you don't even 1123 01:06:37,120 --> 01:06:39,680 Speaker 2: like sports, and you don't even like sports live every 1124 01:06:39,720 --> 01:06:43,080 Speaker 2: Wednesday at four o'clock on his YouTube. I also do 1125 01:06:43,160 --> 01:06:45,880 Speaker 2: a live stand up show called Mint on Card the 1126 01:06:45,880 --> 01:06:48,240 Speaker 2: second Friday of every month at Blast from the Past 1127 01:06:48,240 --> 01:06:51,480 Speaker 2: on Magnolia and Burbank, California. It is a comedy show 1128 01:06:51,520 --> 01:06:56,000 Speaker 2: and a toy store for free. It's my favorite. I 1129 01:06:56,560 --> 01:06:58,360 Speaker 2: have a lot of really fun things that I do, 1130 01:06:58,640 --> 01:07:01,800 Speaker 2: and I love my little life that I get to do, 1131 01:07:01,880 --> 01:07:04,320 Speaker 2: and I get to work with lovely people like Katie Golden, 1132 01:07:04,960 --> 01:07:09,560 Speaker 2: brilliant and charming and making great, great shows. So I 1133 01:07:09,600 --> 01:07:10,640 Speaker 2: love that I get to do that. 1134 01:07:10,880 --> 01:07:13,640 Speaker 1: Well, thank you for that. That's very kind. And yeah, 1135 01:07:13,680 --> 01:07:16,479 Speaker 1: podcasts are kind of like rats, like once you've got one, 1136 01:07:17,280 --> 01:07:19,240 Speaker 1: probably got a whole bunch of other ones too. 1137 01:07:19,600 --> 01:07:22,040 Speaker 2: I'm invested with podcasts. 1138 01:07:22,840 --> 01:07:24,680 Speaker 1: Well, thank you guys so much for listening. And if 1139 01:07:24,720 --> 01:07:26,720 Speaker 1: you're enjoying the show and you leave a radio or review, 1140 01:07:27,280 --> 01:07:29,960 Speaker 1: that's greatly appreciated. I read every single one of them. 1141 01:07:30,000 --> 01:07:32,600 Speaker 1: And thanks to the Space Classics for their super awesome 1142 01:07:32,640 --> 01:07:35,960 Speaker 1: song ex So Lumina. Creature features a production of iHeartRadio 1143 01:07:36,000 --> 01:07:39,120 Speaker 1: for more podcasts like the one she us Hurd Is 1144 01:07:39,160 --> 01:07:41,400 Speaker 1: it a hurryo app Apple podcast? Or Hi guess what 1145 01:07:41,680 --> 01:07:43,720 Speaker 1: wherever you listening to your favorite shows. I'm not your 1146 01:07:43,720 --> 01:07:45,600 Speaker 1: mom can't tell you what you do. You got to 1147 01:07:45,640 --> 01:07:49,080 Speaker 1: live your own life, make your own decisions, your own mistakes. 1148 01:07:49,920 --> 01:07:52,880 Speaker 1: Can't let a ratituy do everything for you. You know, 1149 01:07:52,960 --> 01:07:54,920 Speaker 1: at a certain point you got to pick yourself up 1150 01:07:54,960 --> 01:07:58,560 Speaker 1: by your own pants and make your own decisions. 1151 01:07:58,640 --> 01:08:01,880 Speaker 2: Learn, learn to cook those reviews. I this is actually 1152 01:08:01,960 --> 01:08:04,240 Speaker 2: something that I will say, and this is something that 1153 01:08:04,280 --> 01:08:06,800 Speaker 2: I think our mutual friend Logan Trent had started doing 1154 01:08:07,200 --> 01:08:10,720 Speaker 2: when he'd got when he guests on podcasts. Folks, please 1155 01:08:10,800 --> 01:08:14,080 Speaker 2: go rate and review this podcast, leave a comment. All 1156 01:08:14,120 --> 01:08:17,160 Speaker 2: of those free things. These things are free for you 1157 01:08:17,240 --> 01:08:20,879 Speaker 2: to do, to leave a review, to give a rate, comments, 1158 01:08:20,960 --> 01:08:26,120 Speaker 2: to subscribe to notifications, bell thing the free stuck helps 1159 01:08:26,160 --> 01:08:27,800 Speaker 2: get these people paid better. 1160 01:08:28,080 --> 01:08:30,639 Speaker 1: It puts food on my family and for my mini 1161 01:08:30,760 --> 01:08:32,840 Speaker 1: rats that I your many rat like. 1162 01:08:32,920 --> 01:08:35,280 Speaker 2: It's such a free thing you could do, Like, just 1163 01:08:35,360 --> 01:08:35,680 Speaker 2: do that. 1164 01:08:35,960 --> 01:08:38,920 Speaker 1: Yeah, I have hundreds, I have literally hundreds of mouths 1165 01:08:38,960 --> 01:08:40,800 Speaker 1: to feed all the rats that I am. 1166 01:08:40,960 --> 01:08:43,759 Speaker 2: So many rats and horny crickets. 1167 01:08:43,120 --> 01:08:46,559 Speaker 1: Horny crickets rats. My apartment is so full of life 1168 01:08:46,720 --> 01:08:51,439 Speaker 1: and fun and laughs, live, laugh, love, feed all the 1169 01:08:51,560 --> 01:08:57,240 Speaker 1: rats in my apartments live, laugh, louse perfect. See you 1170 01:08:57,320 --> 01:09:00,480 Speaker 1: next Wednesday.