1 00:00:08,920 --> 00:00:13,320 Speaker 1: This is the me Eater podcast coming at you shirtless, severely, 2 00:00:13,480 --> 00:00:18,319 Speaker 1: bug bitten, and in my case, underware. Listening toast, you 3 00:00:18,360 --> 00:00:22,360 Speaker 1: can't predict anything brought to you by first Light. When 4 00:00:22,360 --> 00:00:26,600 Speaker 1: I'm hunting, I need gear that won't quit. First Light builds, 5 00:00:26,640 --> 00:00:30,160 Speaker 1: no compromise, gear that keeps me in the field longer, 6 00:00:30,520 --> 00:00:34,120 Speaker 1: no shortcuts, just gear that works. Check it out at 7 00:00:34,280 --> 00:00:37,559 Speaker 1: first light dot com. That's f I R S T 8 00:00:38,280 --> 00:00:44,840 Speaker 1: L I T E dot com. Join today by Caleb Hubbard, 9 00:00:45,159 --> 00:00:49,720 Speaker 1: the veterinarian entomologist of the Hubbard Entomology Lab at New 10 00:00:49,720 --> 00:00:52,160 Speaker 1: Mexico State University. We're here to talk about the screwroom 11 00:00:52,479 --> 00:00:55,000 Speaker 1: Can we call it an epidemic pandemic? How it's gonna 12 00:00:55,040 --> 00:00:56,840 Speaker 1: kill everybody? No, No, I don't. 13 00:00:56,880 --> 00:00:57,279 Speaker 2: I don't think. 14 00:00:57,280 --> 00:00:59,960 Speaker 1: I like make it seem good, like make it seem vital. 15 00:01:00,200 --> 00:01:02,640 Speaker 3: Well, I think one of the things is that I'm 16 00:01:02,680 --> 00:01:05,200 Speaker 3: trying not to cause panic. They think that that's kind 17 00:01:05,200 --> 00:01:08,600 Speaker 3: of the biggest thing, But it is a kind of 18 00:01:08,920 --> 00:01:13,400 Speaker 3: a big problem. So the screwroom fly is this parasitic 19 00:01:13,400 --> 00:01:16,759 Speaker 3: fly that feeds on living flesh. The US had done 20 00:01:16,760 --> 00:01:18,720 Speaker 3: a really good job of pushing it out of the 21 00:01:18,760 --> 00:01:21,240 Speaker 3: United States, out of Mexico down to Panama. We've kind 22 00:01:21,280 --> 00:01:23,160 Speaker 3: of been holding it there for the last twenty or 23 00:01:23,200 --> 00:01:27,200 Speaker 3: so years, but since twenty twenty three we've essentially had 24 00:01:27,400 --> 00:01:30,280 Speaker 3: cases of it that have been occurring. There's been fifteen 25 00:01:30,360 --> 00:01:33,400 Speaker 3: thousand or so cases in Mexico, and as of November 26 00:01:33,440 --> 00:01:36,600 Speaker 3: of this year, there was a case sixty miles from 27 00:01:36,640 --> 00:01:39,640 Speaker 3: the US border. So it's a it's come in to 28 00:01:39,720 --> 00:01:42,479 Speaker 3: a cow near you, correct, Yeah, And if you look 29 00:01:42,480 --> 00:01:46,240 Speaker 3: on the USDA's APHIS website, they say it's not a 30 00:01:46,319 --> 00:01:49,360 Speaker 3: concern of getting into the US, but we do have 31 00:01:49,760 --> 00:01:52,440 Speaker 3: cases that are close and so it's something that getting 32 00:01:52,520 --> 00:01:54,680 Speaker 3: the information out there is kind of the biggest thing 33 00:01:54,680 --> 00:01:55,000 Speaker 3: about it. 34 00:01:55,080 --> 00:01:56,720 Speaker 1: Yeah, what I've read about in the news, they make 35 00:01:56,760 --> 00:01:59,320 Speaker 1: it seem like, you know, when we reached out wanting 36 00:01:59,360 --> 00:02:02,880 Speaker 1: to get someone about screw worms. Reading about in the news, 37 00:02:03,200 --> 00:02:06,480 Speaker 1: it's like moving at an alarming rate. Yeah, come to 38 00:02:06,560 --> 00:02:07,520 Speaker 1: a cown near you. 39 00:02:07,440 --> 00:02:10,360 Speaker 3: Yeah, very much so, or a cow or any wildlife 40 00:02:10,440 --> 00:02:14,240 Speaker 3: or humans or Fido, your dog. So uh, it'll pretty 41 00:02:14,280 --> 00:02:17,600 Speaker 3: much feed on on any vertebrate, they say, even birds, 42 00:02:17,639 --> 00:02:20,320 Speaker 3: But for the most part, it's gonna be your you know, 43 00:02:20,440 --> 00:02:24,639 Speaker 3: your larger animals. Uh, your companion, animals, things like that. 44 00:02:24,720 --> 00:02:27,440 Speaker 1: But but yeah, okay, we're gonna dig in on that 45 00:02:27,440 --> 00:02:30,600 Speaker 1: that this is, this is, this is good in a veterinarian. 46 00:02:30,600 --> 00:02:33,480 Speaker 1: That's just so folks knowing entomology explain what an entomologist is. 47 00:02:33,520 --> 00:02:36,200 Speaker 3: Yeah. Yeah, So an entomologist is someone that that studies 48 00:02:36,600 --> 00:02:41,720 Speaker 3: insects or bugs in different ways. Yeah, My backgrounds veterinary entomology, 49 00:02:41,760 --> 00:02:44,080 Speaker 3: So that means that I work with really all the 50 00:02:44,840 --> 00:02:48,480 Speaker 3: all the pests that cause disease or you know, are 51 00:02:48,840 --> 00:02:53,560 Speaker 3: are problematic in animal and animals. Traditionally we're working with 52 00:02:53,919 --> 00:02:57,720 Speaker 3: you know, livestock, so cattle, pultry, things like that. But 53 00:02:58,200 --> 00:03:00,920 Speaker 3: I'm actually a at New Mexico's I'm hired as an 54 00:03:01,000 --> 00:03:03,919 Speaker 3: urban entomologist. So that's all the creepy crawleys that kind 55 00:03:03,919 --> 00:03:08,720 Speaker 3: of bother you in around your home. So if that's bedbugs, cockroaches, scorpions, 56 00:03:08,760 --> 00:03:13,360 Speaker 3: anything like that. But I justify also that something like 57 00:03:13,360 --> 00:03:16,840 Speaker 3: screwworm or or my background is in flies. You know, 58 00:03:16,840 --> 00:03:18,520 Speaker 3: no one likes flies in their house and so it's 59 00:03:18,560 --> 00:03:20,960 Speaker 3: kind of like, you know, any of that interaction with humans, 60 00:03:21,000 --> 00:03:23,160 Speaker 3: and so that's where you know, I come in with 61 00:03:23,200 --> 00:03:24,960 Speaker 3: all this kind of screw worm stuff. 62 00:03:25,040 --> 00:03:27,280 Speaker 1: But you got you got just thrown hardcore into the 63 00:03:27,280 --> 00:03:28,240 Speaker 1: screworm situation. 64 00:03:28,360 --> 00:03:31,760 Speaker 3: Though I would say that I got thrown into it, 65 00:03:31,840 --> 00:03:34,840 Speaker 3: but I think I I initially volunteered and then was 66 00:03:34,880 --> 00:03:39,440 Speaker 3: kind of volunteered to kind of it is and and 67 00:03:39,480 --> 00:03:41,920 Speaker 3: it's kind of one of those things of making myself 68 00:03:42,440 --> 00:03:45,920 Speaker 3: kind of available to do whatever. You know, I'm new 69 00:03:45,960 --> 00:03:48,000 Speaker 3: to New Mexico. I just moved to New Mexico in August, 70 00:03:48,920 --> 00:03:52,400 Speaker 3: and I don't know, I'm really enjoying the state overall. 71 00:03:52,520 --> 00:03:54,640 Speaker 3: But I don't know where I heard this, or maybe 72 00:03:54,680 --> 00:03:56,560 Speaker 3: I just came up with it. You know, New Mexico's 73 00:03:56,640 --> 00:03:59,240 Speaker 3: number one at being last at everything if it kind 74 00:03:59,240 --> 00:04:02,240 Speaker 3: of kind of comes to education, it comes to you know, 75 00:04:02,240 --> 00:04:03,320 Speaker 3: a lot of things like that. 76 00:04:03,400 --> 00:04:04,840 Speaker 1: He's not ingratiating himself. 77 00:04:04,880 --> 00:04:09,800 Speaker 3: No, So, but here's my thing is that my goal 78 00:04:10,040 --> 00:04:13,080 Speaker 3: here is to make New Mexico not that when it 79 00:04:13,120 --> 00:04:15,960 Speaker 3: comes to screwer, is that we should be prepared, that 80 00:04:16,040 --> 00:04:19,359 Speaker 3: we should be able to be uh, you know, be 81 00:04:19,400 --> 00:04:22,000 Speaker 3: able to get this information out there, especially to you 82 00:04:22,080 --> 00:04:25,000 Speaker 3: know a group of people that aren't being reached out 83 00:04:25,040 --> 00:04:28,440 Speaker 3: to hunters and outdoors men in general, and so My 84 00:04:28,600 --> 00:04:32,040 Speaker 3: goal with communicating all of this is to situate New 85 00:04:32,040 --> 00:04:33,960 Speaker 3: Mexico and in a place that we can be prepared 86 00:04:34,560 --> 00:04:37,320 Speaker 3: because we don't have the finances like Texas does. We 87 00:04:37,360 --> 00:04:39,960 Speaker 3: don't have kind of the resources that our neighbors do. 88 00:04:40,360 --> 00:04:42,839 Speaker 3: And so it's you know, getting all of this information 89 00:04:42,880 --> 00:04:45,080 Speaker 3: out there because you know, I'm only one person, and 90 00:04:45,120 --> 00:04:48,640 Speaker 3: so New Mexico obviously is a huge state, and we 91 00:04:48,680 --> 00:04:51,320 Speaker 3: have a lot of economic activity when it comes to 92 00:04:51,440 --> 00:04:54,400 Speaker 3: hunting and outdoors, and so it's reaching out to all 93 00:04:54,440 --> 00:04:56,960 Speaker 3: of those people and kind of I can't do it alone, 94 00:04:57,160 --> 00:04:59,760 Speaker 3: and so that's kind of my my goal here is 95 00:04:59,800 --> 00:05:03,360 Speaker 3: to make New Mexico uh into a state that we 96 00:05:03,400 --> 00:05:04,920 Speaker 3: can made an example for everybody else. 97 00:05:05,000 --> 00:05:07,080 Speaker 1: All Right, so we're gonna dig into heavy on screw worms, 98 00:05:07,360 --> 00:05:08,960 Speaker 1: but first we got to talk about a couple things this. 99 00:05:09,240 --> 00:05:12,120 Speaker 1: So first, Doug, give me your hand, pill zoom in 100 00:05:12,200 --> 00:05:14,400 Speaker 1: on this right. 101 00:05:16,600 --> 00:05:22,360 Speaker 2: I lost you're asking. 102 00:05:24,520 --> 00:05:28,320 Speaker 1: I was at I was at the Sheep Show, okay, 103 00:05:28,360 --> 00:05:33,920 Speaker 1: Wild Sheep Foundation Convention, Deal trade show, and I'm doing 104 00:05:33,960 --> 00:05:36,719 Speaker 1: this little things, signing books, taking pictures and whatnot. And 105 00:05:36,760 --> 00:05:39,560 Speaker 1: these dudes come up and I'd seen him around because 106 00:05:39,920 --> 00:05:42,360 Speaker 1: they're all dressed up like gunfighters. 107 00:05:42,800 --> 00:05:45,800 Speaker 2: Spurs, and you notice that kind of thing, all. 108 00:05:45,640 --> 00:05:48,279 Speaker 1: Dressed up like wild West gun first with this gals 109 00:05:48,320 --> 00:05:53,360 Speaker 1: carrying a stuffed raccoon around costumes. Pretty soon I take 110 00:05:53,440 --> 00:05:55,840 Speaker 1: note that they're in line to come up and chat. 111 00:05:58,400 --> 00:06:01,359 Speaker 1: This gentleman explains what they do is they're the people 112 00:06:01,400 --> 00:06:04,240 Speaker 1: that put on at a ghost town. See, they have 113 00:06:04,279 --> 00:06:07,200 Speaker 1: their own Virginia City down there. Like we have a 114 00:06:07,279 --> 00:06:09,960 Speaker 1: Virginia City, we have a ghost town. They have one too, 115 00:06:10,480 --> 00:06:13,279 Speaker 1: So he says Virginia City and I'm thinking ours, but 116 00:06:13,360 --> 00:06:17,839 Speaker 1: he means theirs. Explains that they're the people that do 117 00:06:17,960 --> 00:06:20,839 Speaker 1: the gun They put on like the gunfight, the wild 118 00:06:20,839 --> 00:06:28,440 Speaker 1: West gunfight, and they happen to show up in their reactors, reenactors, reenactors. 119 00:06:29,720 --> 00:06:35,440 Speaker 1: So he hands me this, gives me his business card, 120 00:06:35,440 --> 00:06:41,320 Speaker 1: and I lose it. So this I think, I think 121 00:06:41,360 --> 00:06:44,839 Speaker 1: that he invented this. If you want, I lost his 122 00:06:44,920 --> 00:06:50,600 Speaker 1: damn business card. But he's a gunfighter in Virginia City, Nevada, 123 00:06:50,600 --> 00:06:53,040 Speaker 1: and he runs around at in Reno and he dresses 124 00:06:53,200 --> 00:06:56,000 Speaker 1: up like a gunfighter. I think that people can prove 125 00:06:56,000 --> 00:06:59,160 Speaker 1: me wrong. I think he invented this. I'm holding the 126 00:06:59,160 --> 00:07:00,480 Speaker 1: weasel here. Hold out your arm. 127 00:07:00,480 --> 00:07:05,760 Speaker 4: Now, dog, it's a slapak. 128 00:07:05,800 --> 00:07:08,080 Speaker 1: Do it again. Here's a pine squirrel. 129 00:07:08,360 --> 00:07:09,360 Speaker 2: The other arm was good. 130 00:07:13,960 --> 00:07:15,560 Speaker 1: Now, I think he. 131 00:07:15,560 --> 00:07:18,160 Speaker 4: Invented that we need to have it sound here just 132 00:07:18,200 --> 00:07:20,920 Speaker 4: for the for the audio audience. Put it near the mic. 133 00:07:21,640 --> 00:07:24,240 Speaker 1: If he invented that, he deserves a Nobel prize and 134 00:07:24,320 --> 00:07:25,040 Speaker 1: talks army. 135 00:07:25,120 --> 00:07:25,320 Speaker 4: Dude. 136 00:07:27,080 --> 00:07:28,960 Speaker 1: My daughter is going to lose her mind when she 137 00:07:28,960 --> 00:07:29,360 Speaker 1: sees that. 138 00:07:29,400 --> 00:07:32,120 Speaker 2: I wondered why I was here. Now, I know, what 139 00:07:32,160 --> 00:07:34,320 Speaker 2: do you think of that? I don't know. I think 140 00:07:34,360 --> 00:07:35,160 Speaker 2: it looks good on me. 141 00:07:35,240 --> 00:07:37,920 Speaker 1: These are slap These are tube skinned. We got a 142 00:07:37,920 --> 00:07:42,800 Speaker 1: tube skinned ermine, a tube skinned pine squirrel converted into 143 00:07:42,840 --> 00:07:49,720 Speaker 1: slap bracelets. I think I met the inventor. But you 144 00:07:49,720 --> 00:07:54,800 Speaker 1: can never trust a reenactor. Do you know what I'm saying? 145 00:07:56,120 --> 00:07:59,080 Speaker 1: When was the last time? Tell me when was the 146 00:07:59,120 --> 00:08:04,080 Speaker 1: last time a ren actor? Because because it's they, they 147 00:08:04,120 --> 00:08:05,440 Speaker 1: inherently are living a lot. 148 00:08:06,120 --> 00:08:07,560 Speaker 2: I know a couple of those guys. 149 00:08:07,720 --> 00:08:08,840 Speaker 1: You can't trust for me, you an actor? 150 00:08:09,040 --> 00:08:12,040 Speaker 2: Yeah, I don't know. I trust my job guys. 151 00:08:12,040 --> 00:08:21,040 Speaker 1: I'm joking mostly, Okay, dougs here, So I did that. Oh, 152 00:08:21,080 --> 00:08:26,800 Speaker 1: a couple of announcements to make in three days. Okay, 153 00:08:27,160 --> 00:08:29,000 Speaker 1: I'm gonna be at I was just talking about being 154 00:08:29,040 --> 00:08:31,080 Speaker 1: at the Wild Sheep Show, The Sheep Show, Wild Cheap 155 00:08:31,080 --> 00:08:34,920 Speaker 1: Foundation Show. If you on YouTube watched are or wherever 156 00:08:34,920 --> 00:08:39,160 Speaker 1: you watch stuff are Tanzania Hunts. The guy I was 157 00:08:39,240 --> 00:08:42,440 Speaker 1: hunting in Tanzania with is Morgan Potter. He's the professional 158 00:08:42,480 --> 00:08:46,839 Speaker 1: hunter I was with. Great guy, very funny, very smart, 159 00:08:46,840 --> 00:08:50,160 Speaker 1: great guy. He and I are doing a talk at 160 00:08:50,240 --> 00:08:55,480 Speaker 1: Safari Club International in in Nashville, Tennessee. So Safari Club 161 00:08:55,520 --> 00:08:59,000 Speaker 1: International has like a convention I don't know they call yeah, 162 00:08:59,000 --> 00:09:01,120 Speaker 1: I think they call it a convention. The SCI Show. 163 00:09:01,559 --> 00:09:05,880 Speaker 1: Morgan and I are going to do a talk about 164 00:09:05,920 --> 00:09:08,800 Speaker 1: our experiences kind of like from the perspective of someone 165 00:09:08,800 --> 00:09:11,520 Speaker 1: that doesn't know anything, like an idiot like me, an 166 00:09:11,559 --> 00:09:14,920 Speaker 1: Africa idiot and an Africa expert, and we're going to 167 00:09:14,960 --> 00:09:20,760 Speaker 1: give a lecture at Safari Club on February nineteenth. We're 168 00:09:20,800 --> 00:09:22,960 Speaker 1: not all the money, so you gotta get a ticket, 169 00:09:23,000 --> 00:09:24,400 Speaker 1: but all the money goes to SCI. So what you 170 00:09:24,440 --> 00:09:26,360 Speaker 1: gotta do is you gotta go on SCI's website and 171 00:09:26,400 --> 00:09:29,120 Speaker 1: you got to get like you become a member and 172 00:09:29,160 --> 00:09:30,679 Speaker 1: that allows you to go to the show and then 173 00:09:30,720 --> 00:09:32,240 Speaker 1: you'll see you can get a ticket to come to 174 00:09:32,280 --> 00:09:34,400 Speaker 1: our talk again doesn't go to Meeta Morgan. All the 175 00:09:34,440 --> 00:09:39,920 Speaker 1: money goes to sci It's a nonprofit hunting rights some 176 00:09:39,960 --> 00:09:45,560 Speaker 1: conservation work organization. Check that out. So also more news. 177 00:09:46,280 --> 00:09:50,560 Speaker 1: Mediator podcast is going to two times weekly starting March ninth, 178 00:09:51,200 --> 00:09:55,520 Speaker 1: somewhat crimswording, somewhat replacing Radio Live. We're gonna have you 179 00:09:55,600 --> 00:09:57,800 Speaker 1: going to the interview show, which is like right now 180 00:09:57,840 --> 00:10:01,600 Speaker 1: we're fixing to talk to this veterinarian entomology just well, 181 00:10:01,640 --> 00:10:02,959 Speaker 1: you know how I want you to turn me onto. 182 00:10:03,000 --> 00:10:06,760 Speaker 1: Do you have any colleagues who are forensic entomologists to 183 00:10:06,840 --> 00:10:09,280 Speaker 1: study like how to tell how long a guy's body's 184 00:10:09,320 --> 00:10:10,120 Speaker 1: been laying there? Yeah? 185 00:10:10,200 --> 00:10:13,880 Speaker 3: Yeah, it's an interesting field. There's only a couple of 186 00:10:13,920 --> 00:10:17,400 Speaker 3: people that do forensic entomology. We did some forensic entomology, 187 00:10:17,720 --> 00:10:21,120 Speaker 3: uh where I did my PhD. My PhD advisor developed 188 00:10:21,120 --> 00:10:22,840 Speaker 3: a class and kind of did some of that. But 189 00:10:22,840 --> 00:10:26,160 Speaker 3: there's really only you know, five or six people that 190 00:10:26,280 --> 00:10:28,640 Speaker 3: kind of do it as a career. There's one guy 191 00:10:28,640 --> 00:10:31,040 Speaker 3: at Texas A and M Jeff Tomberlin who kind of 192 00:10:31,120 --> 00:10:34,200 Speaker 3: is one of the forensic entomology people. He's actually doing 193 00:10:34,280 --> 00:10:38,120 Speaker 3: some stuff with poaching in Africa and yeah, yeah, and 194 00:10:38,360 --> 00:10:41,360 Speaker 3: so I am yeah, actually I have a call with 195 00:10:41,400 --> 00:10:45,000 Speaker 3: him tomorrow, can you yeah, yeah, wheels a little bit 196 00:10:45,040 --> 00:10:46,080 Speaker 3: for me, absolutely right. 197 00:10:47,000 --> 00:10:49,760 Speaker 1: Uh, you don't know any neanderthal experts to you. 198 00:10:50,000 --> 00:10:50,840 Speaker 3: Unfortunately, Now. 199 00:10:53,240 --> 00:10:55,680 Speaker 1: What was I getting at? Oh, we're splitting the show. 200 00:10:55,720 --> 00:10:57,320 Speaker 1: So we're gonna have the regular interview show like we 201 00:10:57,320 --> 00:10:59,080 Speaker 1: have now that we're gonna have a news show. So 202 00:10:59,120 --> 00:11:01,200 Speaker 1: we're having a news and commentary show which will come 203 00:11:01,280 --> 00:11:05,400 Speaker 1: out every week very close to it being recorded. Okay, 204 00:11:05,640 --> 00:11:08,560 Speaker 1: in the news and commentary show will allow us to 205 00:11:09,480 --> 00:11:13,280 Speaker 1: we're going to be doing it's the same crew from 206 00:11:13,360 --> 00:11:14,920 Speaker 1: Radio Live, but we're going to be much of the 207 00:11:14,920 --> 00:11:17,640 Speaker 1: same individuals from Radio Live, but it's not beholden to 208 00:11:17,679 --> 00:11:19,560 Speaker 1: a certain place in time, and it's going to be 209 00:11:21,080 --> 00:11:24,079 Speaker 1: new current events dominated by current events. So you'll be 210 00:11:24,120 --> 00:11:29,040 Speaker 1: able to get up to date news and commentary at 211 00:11:29,200 --> 00:11:33,679 Speaker 1: the news show. So two drops per week. The energy 212 00:11:33,760 --> 00:11:36,200 Speaker 1: that goes into Radio Live will transfer over to the 213 00:11:36,200 --> 00:11:39,640 Speaker 1: news and commentary show that all starts March ninth. We're 214 00:11:39,640 --> 00:11:42,160 Speaker 1: also fixing up a brand new studio, so you'll see 215 00:11:42,200 --> 00:11:45,480 Speaker 1: that there's like a new studio area too. In connection 216 00:11:45,559 --> 00:11:49,640 Speaker 1: to all this, got a correction really quick, srst, before 217 00:11:49,640 --> 00:11:50,960 Speaker 1: you get into this. Can we get cell phones out 218 00:11:50,960 --> 00:11:52,280 Speaker 1: the table? We're getting a little bit of fuzz. 219 00:11:52,440 --> 00:11:53,400 Speaker 2: Oh sorry, thank you. 220 00:11:53,440 --> 00:11:56,240 Speaker 1: Now you're getting I should have warned you before. Oh 221 00:11:56,240 --> 00:11:57,839 Speaker 1: where's the correction that I said? It was kind of 222 00:11:57,880 --> 00:12:00,720 Speaker 1: dumb because it wasn't a good correction. Oh here, let 223 00:12:00,760 --> 00:12:01,520 Speaker 1: me find where'd that go? 224 00:12:01,840 --> 00:12:03,520 Speaker 4: Let me find that. I didn't put that in? 225 00:12:04,600 --> 00:12:06,480 Speaker 1: Why not? I said, I want to talk about it, 226 00:12:06,520 --> 00:12:07,880 Speaker 1: but it's done forgot to do that. 227 00:12:10,600 --> 00:12:12,440 Speaker 2: Uh something about the wolf. 228 00:12:12,920 --> 00:12:17,559 Speaker 1: No, here's a cruestion. It was Colorado Wolf Recovery Goals 229 00:12:17,640 --> 00:12:25,520 Speaker 1: episode eight twenty. Correction. Okay, right for this. He even 230 00:12:25,559 --> 00:12:27,600 Speaker 1: tells me that I can feel free to fact check this, 231 00:12:27,920 --> 00:12:29,920 Speaker 1: and it's it's like a it's like a sword of corraction. 232 00:12:31,320 --> 00:12:33,079 Speaker 1: He says. At the end of the episode, you guys 233 00:12:33,120 --> 00:12:39,040 Speaker 1: were discussing Colorado's wolf reintroduction episode the end of episode 234 00:12:39,120 --> 00:12:48,520 Speaker 1: eight twenty, and Steve mentioned that c p w's Colorado 235 00:12:48,559 --> 00:12:54,040 Speaker 1: Parks and Wildlife's goal for wolves is thirty to fifty. 236 00:12:54,120 --> 00:12:58,600 Speaker 1: He says this is only partially true. Okay, but he's right. 237 00:12:58,640 --> 00:13:01,400 Speaker 1: This is a This is a correction. The reintroduction goal 238 00:13:01,440 --> 00:13:05,640 Speaker 1: in Colorado to re is the reintroduction goal is to 239 00:13:05,760 --> 00:13:10,679 Speaker 1: put to reintroduce thirty to fifty, not to establish a 240 00:13:10,720 --> 00:13:13,840 Speaker 1: population of thirty to fifty. The goal is to cut 241 00:13:14,000 --> 00:13:22,680 Speaker 1: thirty to fifty loose. Okay, that's not the stated recovery goal. 242 00:13:23,520 --> 00:13:26,160 Speaker 1: He goes on, This is me quoting him. In fact, 243 00:13:26,360 --> 00:13:30,880 Speaker 1: there is no official number for a desired population in 244 00:13:30,920 --> 00:13:36,000 Speaker 1: the finalized plan for a recovery goal. However, there are 245 00:13:36,120 --> 00:13:42,040 Speaker 1: only guidelines for down listing from the state endangered species list. Okay, 246 00:13:42,600 --> 00:13:46,160 Speaker 1: if they have at least fifty wolves for four years, 247 00:13:47,080 --> 00:13:52,000 Speaker 1: they can down list to state threatened status. If they 248 00:13:52,040 --> 00:13:55,319 Speaker 1: maintain a population of at least one hundred and fifty 249 00:13:55,400 --> 00:14:00,360 Speaker 1: wolves for two years, they will dlist from this state 250 00:14:00,760 --> 00:14:06,040 Speaker 1: endangered species list. He goes on to say, I was 251 00:14:06,080 --> 00:14:08,640 Speaker 1: saying that, and I stand by this. I was saying 252 00:14:08,720 --> 00:14:14,960 Speaker 1: in Colorado, unless sixty percent of the people in Colorado 253 00:14:15,120 --> 00:14:21,720 Speaker 1: move away and those are replaced by Utahns and the 254 00:14:21,800 --> 00:14:24,320 Speaker 1: Vadins or something, those are replaced by a different, a 255 00:14:24,320 --> 00:14:28,360 Speaker 1: different strain of human, you will never see a hunting 256 00:14:28,400 --> 00:14:33,360 Speaker 1: season for wolves in Colorado. I stand by that. I 257 00:14:33,360 --> 00:14:35,960 Speaker 1: gave that as a piece of opinion. He says, though, 258 00:14:36,920 --> 00:14:40,800 Speaker 1: once the wolf is delisted in Colorado, so that once 259 00:14:40,840 --> 00:14:43,000 Speaker 1: they hit that one hundred and fifty wolves for two years, 260 00:14:44,280 --> 00:14:51,280 Speaker 1: he says, there is supposed to be and I'm quoting here, 261 00:14:51,560 --> 00:14:56,640 Speaker 1: consideration for making wolves a game species. But he goes 262 00:14:56,680 --> 00:14:59,000 Speaker 1: on to say, and this is a wildlife professional. I 263 00:14:59,040 --> 00:15:01,360 Speaker 1: don't want to give his name. This is a state 264 00:15:01,480 --> 00:15:04,840 Speaker 1: wildlife professional. The road descent. I'm not gonna. I'm not gonna. 265 00:15:04,960 --> 00:15:07,120 Speaker 1: I'm not gonna. What do you call that nowadays? 266 00:15:07,840 --> 00:15:08,960 Speaker 2: Dox them? Dox them? 267 00:15:09,000 --> 00:15:12,480 Speaker 1: Oh yeah, I dox his brother, he says. But if 268 00:15:12,480 --> 00:15:16,680 Speaker 1: we've learned anything from wolf policy in the past, there 269 00:15:16,720 --> 00:15:21,520 Speaker 1: will be much litigation and hogwash to prevent management of 270 00:15:21,600 --> 00:15:25,120 Speaker 1: wolves by hunting. So even though the stated number is 271 00:15:25,160 --> 00:15:28,000 Speaker 1: a bit higher than Steve said, and there is in 272 00:15:28,120 --> 00:15:32,280 Speaker 1: fact a provision in the plan to consider reclassification to 273 00:15:32,360 --> 00:15:36,320 Speaker 1: a game species, it does seem likely that the wolf 274 00:15:36,400 --> 00:15:42,000 Speaker 1: population will continue to increase significantly with no clear final 275 00:15:42,200 --> 00:15:51,200 Speaker 1: goal having been set. Here's a correction from Florida. That 276 00:15:51,200 --> 00:15:53,360 Speaker 1: that is that is that that that's a great that's 277 00:15:53,400 --> 00:15:55,640 Speaker 1: the kind of see. Pretty soon we're gonna start a 278 00:15:55,680 --> 00:15:56,920 Speaker 1: correction of the Week contest. 279 00:15:57,040 --> 00:15:57,960 Speaker 2: Yeah, I like that one. 280 00:15:59,320 --> 00:16:03,040 Speaker 1: That guy could have. He was a winner. He was 281 00:16:03,040 --> 00:16:03,440 Speaker 1: a winner. 282 00:16:03,920 --> 00:16:05,600 Speaker 4: It was all my bad because I put it in 283 00:16:05,640 --> 00:16:09,400 Speaker 4: the notes kind of not not clearly. What did me 284 00:16:09,520 --> 00:16:12,520 Speaker 4: when I put the thirty to fifty goal? I put 285 00:16:12,560 --> 00:16:17,320 Speaker 4: it under like, yeah, I'd put it on board. No, well, 286 00:16:17,360 --> 00:16:20,840 Speaker 4: I'm that's that's that's part of it. But the guy's right, 287 00:16:20,920 --> 00:16:23,360 Speaker 4: so it's it's that's good. He I mean, there are 288 00:16:23,360 --> 00:16:25,600 Speaker 4: probably people in the audience saying no, no, no, no, 289 00:16:25,840 --> 00:16:28,160 Speaker 4: it's and they're right. You guys are all right. 290 00:16:32,000 --> 00:16:36,880 Speaker 1: Where was I Florida? Okay, here's a correction that would 291 00:16:36,920 --> 00:16:42,440 Speaker 1: not win. Oh, we need to get we need like 292 00:16:42,480 --> 00:16:46,040 Speaker 1: a new Do we have our own email address for 293 00:16:46,120 --> 00:16:46,760 Speaker 1: the podcast? 294 00:16:47,280 --> 00:16:50,120 Speaker 4: What is it called the meat Eater podcast at the 295 00:16:50,160 --> 00:16:51,200 Speaker 4: meadeater dot com. 296 00:16:51,240 --> 00:16:51,920 Speaker 1: Where do those go? 297 00:16:52,960 --> 00:16:56,800 Speaker 4: Uh? They all filter mainly to our community manager. 298 00:16:56,920 --> 00:16:59,600 Speaker 1: But do we get all of those? We get all 299 00:16:59,640 --> 00:17:00,640 Speaker 1: of them? Okay? 300 00:17:00,760 --> 00:17:03,520 Speaker 4: Oh no, I asked him to filter stuff. 301 00:17:03,760 --> 00:17:08,600 Speaker 1: Well don't I don't know that he knows what I 302 00:17:08,600 --> 00:17:10,800 Speaker 1: think is interesting? Do you know what I'm saying? Like 303 00:17:10,840 --> 00:17:12,680 Speaker 1: what is the risk? Like the risk would be because 304 00:17:13,200 --> 00:17:15,680 Speaker 1: my wife doesn't think what I think is interesting is interesting? 305 00:17:15,880 --> 00:17:16,239 Speaker 1: What's that? 306 00:17:16,760 --> 00:17:18,800 Speaker 4: I've asked him to cast a wide knit and see 307 00:17:19,119 --> 00:17:22,639 Speaker 4: and for me a bunch of different, funky, weird things. 308 00:17:22,760 --> 00:17:24,800 Speaker 4: I think. I think. I think he knows. 309 00:17:24,680 --> 00:17:26,960 Speaker 1: Because out of every ten things that I think is interesting, 310 00:17:27,000 --> 00:17:29,960 Speaker 1: I tell my wife, she finds nine not interesting. You 311 00:17:29,960 --> 00:17:33,800 Speaker 1: can't trust not equating him to my wife. I'm just saying, 312 00:17:33,840 --> 00:17:35,840 Speaker 1: like you know, no two people are the same. 313 00:17:36,359 --> 00:17:36,920 Speaker 4: That's true. 314 00:17:37,160 --> 00:17:42,600 Speaker 1: Here's a not winner. This guy, in fact, with the 315 00:17:42,640 --> 00:17:45,960 Speaker 1: opposite of win correction of the week. 316 00:17:46,040 --> 00:17:47,320 Speaker 2: You're going to correct his correction. 317 00:17:47,520 --> 00:17:55,840 Speaker 1: I am he His correction is titled misrepresenting opposition to 318 00:17:55,920 --> 00:18:01,119 Speaker 1: the Florida bear hunt. I enjoy, He goes on, I 319 00:18:01,280 --> 00:18:08,880 Speaker 1: enjoy your show. Compliment Sandwich, I enjoy your show, but 320 00:18:09,040 --> 00:18:12,080 Speaker 1: feel the need to offer you a new perspective on 321 00:18:12,160 --> 00:18:15,840 Speaker 1: a story you recently reported on. As a resident of 322 00:18:15,960 --> 00:18:21,320 Speaker 1: rural Florida, I'm surrounded by the controversy surrounding our state's 323 00:18:21,320 --> 00:18:25,040 Speaker 1: recent black bear hunt. While you presented thoughtful views on 324 00:18:25,119 --> 00:18:29,280 Speaker 1: the battle between those who support and depose bear hunting 325 00:18:29,320 --> 00:18:33,840 Speaker 1: in Florida, I feel you overlooked an important concept in 326 00:18:34,000 --> 00:18:39,920 Speaker 1: the argument. He goes on, Though I don't bear hunt 327 00:18:40,680 --> 00:18:44,639 Speaker 1: I'm a lifelong hunter and angler. In addition, my professional 328 00:18:44,720 --> 00:18:47,600 Speaker 1: training is in fish and wildlife management, and my previous 329 00:18:47,680 --> 00:18:54,320 Speaker 1: career had me frequently collaborating with wildlife managers nationwide. In addition, 330 00:18:54,920 --> 00:18:59,119 Speaker 1: I currently work at an environmentally focused nonprofit. So I 331 00:18:59,200 --> 00:19:04,520 Speaker 1: rub elbow with a diverse group of outdoor minded individuals, 332 00:19:05,000 --> 00:19:06,840 Speaker 1: he could win a composition. 333 00:19:08,400 --> 00:19:10,679 Speaker 2: Yeah, this sounds like Midwest passive aggressive to me. 334 00:19:10,960 --> 00:19:13,240 Speaker 1: Well, if he was going toe to toe with most 335 00:19:13,280 --> 00:19:14,879 Speaker 1: of the people that write us a letter, he would 336 00:19:14,880 --> 00:19:22,520 Speaker 1: win a composition award, not the hack like I like. 337 00:19:22,880 --> 00:19:26,880 Speaker 1: I prefer like when it looks like ee. Cummings wrote 338 00:19:26,920 --> 00:19:32,560 Speaker 1: in yeah you know, while you report, did I say 339 00:19:32,560 --> 00:19:37,679 Speaker 1: that already? Oh okay? He goes on, while your reporting 340 00:19:37,760 --> 00:19:43,439 Speaker 1: included key details behind the quote animal rights folks opposing 341 00:19:43,480 --> 00:19:47,440 Speaker 1: the bear hunt, It left out a glaring reason why 342 00:19:47,600 --> 00:19:52,879 Speaker 1: so many Floridians oppose it. In general, the hunt is 343 00:19:52,920 --> 00:19:59,040 Speaker 1: being broadcast as an example of animal populations outgrowing their habitat, 344 00:19:59,119 --> 00:20:02,679 Speaker 1: when in most case it's actually a case of habitat 345 00:20:03,160 --> 00:20:11,040 Speaker 1: being reduced around the animals. He goes on, see Doug Dougs, 346 00:20:11,400 --> 00:20:12,920 Speaker 1: Doug does nowhere It's gonna fall. 347 00:20:13,480 --> 00:20:15,399 Speaker 2: I read it but now I've forgotten everything. 348 00:20:16,520 --> 00:20:17,959 Speaker 1: He doesn't know if he's going to agree with him 349 00:20:18,000 --> 00:20:20,320 Speaker 1: or not. Well, that's just gonna pit me against Doug. 350 00:20:21,000 --> 00:20:25,439 Speaker 1: He goes on about this. Outsiders have certainly heard of 351 00:20:25,480 --> 00:20:29,359 Speaker 1: the development happening all across central Florida. But believe me, 352 00:20:29,920 --> 00:20:32,159 Speaker 1: unless you have lived it, you have no way to 353 00:20:32,240 --> 00:20:36,760 Speaker 1: comprehend the complete eradication of fish and wildlife habitat occurring 354 00:20:36,920 --> 00:20:43,880 Speaker 1: daily throughout this state. He goes on, Florida's development friendly 355 00:20:44,000 --> 00:20:47,560 Speaker 1: building codes allow for thousands of acres to be cleared 356 00:20:47,640 --> 00:20:52,400 Speaker 1: and developed at an incredible pace. Make no mistake, this 357 00:20:52,440 --> 00:20:57,399 Speaker 1: is no way environmentally sensible development. This is clear cut, 358 00:20:57,520 --> 00:21:04,720 Speaker 1: corner to corner, bulldozed and compacted development seemingly everywhere. When 359 00:21:04,800 --> 00:21:09,199 Speaker 1: developers clear land in Florida, no wildlife is left nothing, 360 00:21:09,280 --> 00:21:11,760 Speaker 1: not a bug, a bird, and certainly not a bear. 361 00:21:13,680 --> 00:21:15,159 Speaker 1: I don't agree. I don't disagree with any of this. 362 00:21:15,880 --> 00:21:16,960 Speaker 1: He hasn't gotten to the park. 363 00:21:17,840 --> 00:21:18,399 Speaker 2: I'm waiting. 364 00:21:20,080 --> 00:21:22,800 Speaker 1: He hasn't gotten to the correction yet. He's just laying 365 00:21:22,840 --> 00:21:27,840 Speaker 1: the groundwork. Here's the clincher. Here's where he brings a home. 366 00:21:29,640 --> 00:21:33,320 Speaker 1: Bear habitat is being removed at an unheard of pace 367 00:21:36,520 --> 00:21:41,640 Speaker 1: his words here. That's the majority of what's behind opposition 368 00:21:41,720 --> 00:21:48,560 Speaker 1: to the hunt. Floridians, hunters and anglers alike, view wildlife 369 00:21:48,600 --> 00:21:53,680 Speaker 1: policy in this state as a failure due to continued 370 00:21:53,720 --> 00:21:56,280 Speaker 1: declining habitat, the likes of which have never been seen 371 00:21:56,280 --> 00:21:59,920 Speaker 1: in the South. Many hunters I know oppose the bear 372 00:22:00,240 --> 00:22:04,119 Speaker 1: hunt for this very reason. It's viewed as a cop 373 00:22:04,160 --> 00:22:07,640 Speaker 1: out by the fish and wildlife managers and an excuse 374 00:22:08,160 --> 00:22:13,360 Speaker 1: for declining habitat. It's important this opposition to the hunt 375 00:22:13,440 --> 00:22:17,000 Speaker 1: is represented correctly because many of them are hunters themselves. 376 00:22:16,760 --> 00:22:22,280 Speaker 1: Here's why. Here's where you're no. No, if you still 377 00:22:22,520 --> 00:22:25,600 Speaker 1: hunt deer, and you still hunt turkeys, and you still fish, 378 00:22:26,040 --> 00:22:30,360 Speaker 1: you're what you're saying isn't true. They're losing habitat too. 379 00:22:30,840 --> 00:22:35,840 Speaker 1: So are you quitting all hunting out of protests for 380 00:22:35,920 --> 00:22:39,399 Speaker 1: the state not getting a grip on development? How are you? 381 00:22:39,840 --> 00:22:43,080 Speaker 1: How are you saying? Oh, no, I oppose having a 382 00:22:43,119 --> 00:22:46,399 Speaker 1: bear season, but I support having a deer season. I 383 00:22:46,400 --> 00:22:54,600 Speaker 1: support having turkey season. Come on, you, just no, It's 384 00:22:54,640 --> 00:22:57,120 Speaker 1: just totally not true unless this guy writes in. If 385 00:22:57,119 --> 00:22:59,680 Speaker 1: he writes in and says to me, oh no, here's 386 00:22:59,680 --> 00:23:03,200 Speaker 1: a crack to your correction, to my correction, and it's 387 00:23:03,240 --> 00:23:06,120 Speaker 1: that I have quit all hunting, I boycott any kind 388 00:23:06,119 --> 00:23:09,280 Speaker 1: of hunting and fishing in Florida out of a protest 389 00:23:09,760 --> 00:23:13,040 Speaker 1: to rampant development in Florida. Then I'll say, Okay, I 390 00:23:13,080 --> 00:23:15,600 Speaker 1: believe you, but there's no way that's true. You're not. 391 00:23:16,560 --> 00:23:20,679 Speaker 1: It's like you're not willing intellectually, you're sort of holding 392 00:23:20,720 --> 00:23:23,680 Speaker 1: out that a bear is somehow different than a state 393 00:23:23,760 --> 00:23:26,520 Speaker 1: managed game animal because of your perceptions. 394 00:23:29,920 --> 00:23:35,040 Speaker 5: He's there. The animals are dealing with loss of habitat. 395 00:23:35,600 --> 00:23:39,480 Speaker 5: You have well, right, and so you have more animals 396 00:23:41,240 --> 00:23:44,919 Speaker 5: competing or on less habitat. Consequently, you have overpopulation. 397 00:23:45,720 --> 00:23:50,080 Speaker 1: You know why. He's also wrong. He's also wrong because 398 00:23:50,119 --> 00:23:55,199 Speaker 1: the the the total number of bears. If what he 399 00:23:55,240 --> 00:23:57,840 Speaker 1: was saying was true, you would be I mean, it 400 00:23:57,920 --> 00:24:02,399 Speaker 1: is true, I'm not the development Like, Yeah, development in 401 00:24:02,400 --> 00:24:05,719 Speaker 1: Florida is out of control from an environmental conservation standpoint, 402 00:24:05,960 --> 00:24:09,439 Speaker 1: it's in rough shape. The state is in rough shape, 403 00:24:09,720 --> 00:24:15,680 Speaker 1: developments out of control. But that is not what the 404 00:24:15,720 --> 00:24:18,880 Speaker 1: bears like. Right now, that is not what the bears 405 00:24:18,920 --> 00:24:22,560 Speaker 1: are like. Bear numbers in Florida are growing. Bear numbers 406 00:24:22,560 --> 00:24:25,240 Speaker 1: in Florida are yeah, bear numbers In Florida bear numbers 407 00:24:25,280 --> 00:24:28,280 Speaker 1: are black bear numbers. In general, around the country, bears 408 00:24:28,320 --> 00:24:34,080 Speaker 1: are moving into new places regionally, like they're moving in 409 00:24:34,160 --> 00:24:37,880 Speaker 1: new places locally, and they're moving into new places more broadly. 410 00:24:38,040 --> 00:24:39,080 Speaker 2: So they're pretty adaptive. 411 00:24:39,880 --> 00:24:42,040 Speaker 1: It's taking them one hundred and fifty years to figure 412 00:24:42,040 --> 00:24:44,000 Speaker 1: out how to deal with people, but they're figuring it out. 413 00:24:44,760 --> 00:24:50,240 Speaker 1: And like he's just mixing up two things another one. 414 00:24:52,359 --> 00:24:54,359 Speaker 1: This is a little more science. You might like this one. 415 00:24:54,640 --> 00:25:00,679 Speaker 1: We'll get to the whole screw room thing. Don't worry dude. 416 00:25:01,440 --> 00:25:04,720 Speaker 1: Alan Lazara, who's come on before. He's an er doctor. 417 00:25:04,760 --> 00:25:07,840 Speaker 1: He's an er doctor and he's been on the show. 418 00:25:08,480 --> 00:25:10,240 Speaker 1: He has a particular focus and done a lot of 419 00:25:10,240 --> 00:25:15,560 Speaker 1: work in tree stand injuries. Very interesting guy. He wrote 420 00:25:15,560 --> 00:25:20,480 Speaker 1: in there's this new treatment coming out for frost bitten 421 00:25:20,560 --> 00:25:23,240 Speaker 1: hands and feet. The reason I'm bringing this up because 422 00:25:23,240 --> 00:25:25,080 Speaker 1: people that like to cook wild game, I mean cooks 423 00:25:25,080 --> 00:25:27,800 Speaker 1: in general, but a lot of my buddies who are 424 00:25:27,840 --> 00:25:33,639 Speaker 1: avid wild game cooks use soouved machines souvid wands to 425 00:25:33,760 --> 00:25:37,479 Speaker 1: hold water at a very specific temperature. Right, Like, if 426 00:25:37,480 --> 00:25:40,080 Speaker 1: you're trying to hold. If I told you, hey, put 427 00:25:40,160 --> 00:25:43,240 Speaker 1: water on your stove and hold a pot of water 428 00:25:43,320 --> 00:25:45,760 Speaker 1: on your stove at one hundred and thirty nine degrees 429 00:25:46,119 --> 00:25:50,240 Speaker 1: for three days, You're not gonna do that. If you 430 00:25:50,280 --> 00:25:53,000 Speaker 1: put a SOUVD apparatus in a pot of water and 431 00:25:53,080 --> 00:25:55,520 Speaker 1: you set it at thirty nine degrees for three days, 432 00:25:55,600 --> 00:25:57,240 Speaker 1: that son of a bitch is gonna be thirty nine 433 00:25:57,280 --> 00:25:59,480 Speaker 1: degrees for three days. One hundred and thirty nine degrees 434 00:25:59,480 --> 00:26:04,119 Speaker 1: for three days. There's some new stuff, and it just 435 00:26:04,160 --> 00:26:09,040 Speaker 1: was published in the Academy the Academic Emergency Medicine Journal 436 00:26:10,000 --> 00:26:15,320 Speaker 1: about seemingly having great luck rewarming frozen body parts and 437 00:26:15,400 --> 00:26:20,359 Speaker 1: SOUV baths because you can get the perfect temperature and 438 00:26:20,440 --> 00:26:25,000 Speaker 1: hold it and hold it. Because anyone that's ever frozen 439 00:26:25,000 --> 00:26:27,000 Speaker 1: your fingers you stick them in hot water. That is 440 00:26:27,119 --> 00:26:32,800 Speaker 1: not the way to go painful. So he's pointing out 441 00:26:32,920 --> 00:26:37,959 Speaker 1: like he's not Doctor Dozara is not suggested a disclaimer, 442 00:26:39,160 --> 00:26:45,760 Speaker 1: but okay, this is from his This is from the journal. 443 00:26:47,000 --> 00:26:50,879 Speaker 1: Rewarming frost bitten tissue with skinn to skin, top contact 444 00:26:51,040 --> 00:26:55,560 Speaker 1: or warm water. Okay. Treatment includes removing the person from 445 00:26:55,680 --> 00:26:59,480 Speaker 1: the cold environment and rewarming frost bitten tissue with skinned 446 00:26:59,480 --> 00:27:04,720 Speaker 1: to skin contact or warm water immersion. Okay, rubbing no good. 447 00:27:07,080 --> 00:27:11,240 Speaker 1: Typically in the emergency department or field, this is accomplished 448 00:27:11,240 --> 00:27:16,399 Speaker 1: with a warm water bath that is frequently exchanged to 449 00:27:16,520 --> 00:27:20,359 Speaker 1: target a warm to target a water temperature. 450 00:27:22,800 --> 00:27:24,359 Speaker 5: Some bitch, you put it in sad because you have 451 00:27:24,359 --> 00:27:26,800 Speaker 5: to exchange because it's you're not holding the temperature. 452 00:27:26,920 --> 00:27:32,439 Speaker 1: No, no, check this out. You're trying. They'll, they'll, they're, they're, they're, 453 00:27:32,520 --> 00:27:35,480 Speaker 1: they're trying to get water at ninety eight six. I 454 00:27:35,560 --> 00:27:36,240 Speaker 1: didn't know this. 455 00:27:38,000 --> 00:27:38,400 Speaker 2: Makes sense. 456 00:27:38,440 --> 00:27:41,240 Speaker 1: So you freeze your hand, you freeze your fingers. The 457 00:27:41,600 --> 00:27:44,280 Speaker 1: medical treatment would be to try to get water at 458 00:27:44,359 --> 00:27:46,919 Speaker 1: ninety eight six. Stick your hand in there. And then 459 00:27:46,920 --> 00:27:49,439 Speaker 1: he says, they're constantly swapping it out with new water. 460 00:27:50,440 --> 00:27:53,119 Speaker 1: But there's a dry heat. No good. Like holding it 461 00:27:53,160 --> 00:27:56,480 Speaker 1: to a fire not advisable, Rubbing it not advisable. Skinned 462 00:27:56,480 --> 00:28:01,040 Speaker 1: the skin contact or a water bath at ninety eight six, 463 00:28:01,600 --> 00:28:05,000 Speaker 1: He says, typically in an emergency room setting, you're swapping 464 00:28:05,040 --> 00:28:07,400 Speaker 1: out the water, swapping out the water, swapping out the water. 465 00:28:08,200 --> 00:28:13,840 Speaker 1: Uh here, set your sue v'd at ninety eight six. 466 00:28:14,280 --> 00:28:16,639 Speaker 1: Just in the winter, turn it on, put it in 467 00:28:16,680 --> 00:28:19,879 Speaker 1: the ground. Yeah, every time you freeze your fingers come in, 468 00:28:22,840 --> 00:28:23,639 Speaker 1: dunk them in there. 469 00:28:23,760 --> 00:28:26,760 Speaker 2: It sounds like a big whirlpool to me. Yeah. Yeah. 470 00:28:26,840 --> 00:28:29,640 Speaker 3: It kind of reminds me of Star Wars Luke Skywalker, 471 00:28:30,080 --> 00:28:31,560 Speaker 3: you know, he was on Hoff and they. 472 00:28:31,560 --> 00:28:34,040 Speaker 1: Stopped him wicked back to tank. 473 00:28:34,119 --> 00:28:37,119 Speaker 3: Yeah, okay, there you go. And it seems like, you know, 474 00:28:37,119 --> 00:28:39,400 Speaker 3: they're just taking it from Star Wars. I'm sure these 475 00:28:39,400 --> 00:28:40,000 Speaker 3: scientists were. 476 00:28:40,320 --> 00:28:42,320 Speaker 1: Yeah, they were. They were hot on the seux vied 477 00:28:42,360 --> 00:28:45,120 Speaker 1: for anybody else was yeah, here's a quick comment, and 478 00:28:45,120 --> 00:28:47,880 Speaker 1: then then we're all then we're all in on screwworms. 479 00:28:48,680 --> 00:28:51,760 Speaker 1: Speaking of doctor Lazarre, a guy just wrote in that 480 00:28:51,880 --> 00:28:55,120 Speaker 1: he was listening way back into the into the deep cuts. 481 00:28:55,160 --> 00:29:01,000 Speaker 1: He was back in the episode one with doctor Alan Lazara, 482 00:29:01,600 --> 00:29:06,880 Speaker 1: and episode one is called Bleeding Out with Doctor Allen Lazara. 483 00:29:07,600 --> 00:29:12,400 Speaker 1: In it, we had a discussion about blue gills biting 484 00:29:12,480 --> 00:29:18,000 Speaker 1: men's nipples. I remember this, This guy rode in from Michigan. 485 00:29:19,080 --> 00:29:21,480 Speaker 1: He actually calls them blue gails. 486 00:29:21,960 --> 00:29:24,200 Speaker 2: I wondered if that was a spelling error when I 487 00:29:24,240 --> 00:29:25,360 Speaker 2: was reading the notes. 488 00:29:25,280 --> 00:29:27,760 Speaker 1: And Brody said, do people in Michigan call him blue Gails? 489 00:29:27,840 --> 00:29:29,760 Speaker 1: And I'm like, I think they kind of a little 490 00:29:29,760 --> 00:29:32,720 Speaker 1: bit do. But you'd also call him a gill. But 491 00:29:32,760 --> 00:29:35,480 Speaker 1: there is a little bit of a blue gail. No 492 00:29:35,760 --> 00:29:38,400 Speaker 1: blue gills, No, I can't think of that. I get 493 00:29:38,440 --> 00:29:39,960 Speaker 1: what he's getting at, but I think it's a pretty 494 00:29:39,960 --> 00:29:45,080 Speaker 1: clean blue gill. Yep, bluegill, or you'd say gills. This 495 00:29:45,120 --> 00:29:48,720 Speaker 1: guy has this to say. He says, almost every man 496 00:29:48,800 --> 00:29:53,760 Speaker 1: that swam and my grandpa's pond has had this happen 497 00:29:53,800 --> 00:30:03,280 Speaker 1: to him. Me included. Is this a correction, No, it's 498 00:30:03,280 --> 00:30:07,280 Speaker 1: like an observation. Ye, he's a fabricous. He's a fabricator. 499 00:30:09,120 --> 00:30:12,000 Speaker 1: It's a note. I'll critique it in the minute, but 500 00:30:12,040 --> 00:30:14,360 Speaker 1: first I'll take you the notice. He says the pond 501 00:30:14,520 --> 00:30:17,720 Speaker 1: was stocked only with bluegills, which were fed little fish 502 00:30:17,760 --> 00:30:23,040 Speaker 1: pellets by my grandparents. We attributed the nipple biting to 503 00:30:23,160 --> 00:30:28,080 Speaker 1: the similar appearance of these pellets to hard nipples and 504 00:30:28,280 --> 00:30:34,080 Speaker 1: cold water. We believe the fish would mistake the nipple 505 00:30:35,440 --> 00:30:40,840 Speaker 1: for a pellet and bite us. We would almost always 506 00:30:40,880 --> 00:30:43,600 Speaker 1: come out of the water looking like a marathon runner 507 00:30:43,800 --> 00:30:49,480 Speaker 1: who forgot to put tape on their nipples. This pond 508 00:30:49,680 --> 00:30:52,880 Speaker 1: brings it even tighter to home. This pund happens to 509 00:30:52,920 --> 00:30:55,360 Speaker 1: be just thirty minutes south of ann Arbor, where doctor 510 00:30:55,440 --> 00:31:03,440 Speaker 1: Lazara was working. Lest you question the relevance, I don't know. 511 00:31:04,040 --> 00:31:06,080 Speaker 1: I don't think that's it. I think I agree that 512 00:31:06,080 --> 00:31:08,360 Speaker 1: that's your assumption. But plenty of nipples have been bitten, 513 00:31:08,360 --> 00:31:11,320 Speaker 1: and plenty of ponds that aren't fed wild these are 514 00:31:11,360 --> 00:31:13,120 Speaker 1: wildfish biting nipples. 515 00:31:15,920 --> 00:31:19,640 Speaker 5: Body hair seems to attract them. Two, I've been bit 516 00:31:20,600 --> 00:31:23,600 Speaker 5: like on different parts of my body in those kinds 517 00:31:23,640 --> 00:31:24,360 Speaker 5: of ponds. 518 00:31:24,040 --> 00:31:25,959 Speaker 1: With you've been skinny dipping and had your packer bit 519 00:31:27,400 --> 00:31:27,920 Speaker 1: No you. 520 00:31:28,040 --> 00:31:30,640 Speaker 4: Neither, Yeah, lucky you guys. 521 00:31:32,000 --> 00:31:36,440 Speaker 1: All right, Okay, back to screwworms. 522 00:31:38,400 --> 00:31:40,200 Speaker 2: It always comes around, always does. 523 00:31:40,600 --> 00:31:46,000 Speaker 1: How long as screams are screams are progressing north through 524 00:31:46,000 --> 00:31:49,240 Speaker 1: as you explained, how long has there like, what is 525 00:31:49,280 --> 00:31:53,520 Speaker 1: the sort of what is the early understanding of screw worms? 526 00:31:53,560 --> 00:31:58,000 Speaker 1: And how long have humans been talking about screw worms? 527 00:31:58,680 --> 00:32:01,280 Speaker 1: And where have they been talking about screworm. 528 00:32:00,920 --> 00:32:04,680 Speaker 3: Yeah, so it's called primary screw worm or New World 529 00:32:04,720 --> 00:32:08,160 Speaker 3: screworm because it's a problem of the Americas. And so 530 00:32:09,080 --> 00:32:12,920 Speaker 3: the first kind of like true documented case was actually 531 00:32:13,040 --> 00:32:16,120 Speaker 3: in French Guyana in a penal colony. So in eighteen 532 00:32:16,160 --> 00:32:20,000 Speaker 3: fifty eight, the French kind of noted, oh, hey, yeah, 533 00:32:20,040 --> 00:32:23,720 Speaker 3: we have these prisoners that are being eaten alive by something. Yeah, humans, 534 00:32:23,760 --> 00:32:26,480 Speaker 3: we have no idea what it is, and so they 535 00:32:26,720 --> 00:32:30,280 Speaker 3: send in this guy Cockrell, who ended up like realizing 536 00:32:30,320 --> 00:32:33,200 Speaker 3: that they were fly maggots and kind of described it there, 537 00:32:33,760 --> 00:32:37,240 Speaker 3: and then it kind of went dormant for I guess 538 00:32:37,240 --> 00:32:40,479 Speaker 3: whatever that math would be sixty or seventy years. And 539 00:32:40,520 --> 00:32:45,400 Speaker 3: so then it was the nineteen thirties in the US 540 00:32:45,680 --> 00:32:48,680 Speaker 3: that we started documenting these cases where we were seeing 541 00:32:49,720 --> 00:32:54,080 Speaker 3: cattle that were being infested, and so pretty much since 542 00:32:54,080 --> 00:32:57,200 Speaker 3: about the thirties is kind of like when it's been 543 00:32:57,240 --> 00:33:00,200 Speaker 3: on our radar of being this big problem. And then 544 00:33:00,240 --> 00:33:04,640 Speaker 3: from the thirties to about the early nineteen seventies was 545 00:33:04,720 --> 00:33:07,680 Speaker 3: kind of the heyday of control. They developed this thing 546 00:33:07,760 --> 00:33:11,360 Speaker 3: called steril insect technique to get rid of the flies, 547 00:33:12,280 --> 00:33:15,520 Speaker 3: and then since the seventies, at least in the US, 548 00:33:15,600 --> 00:33:18,720 Speaker 3: we pushed it out and then kind of have had 549 00:33:18,720 --> 00:33:21,479 Speaker 3: to work with different different governments. So we worked with 550 00:33:21,520 --> 00:33:25,400 Speaker 3: the Mexican government to kind of build a facility to 551 00:33:25,400 --> 00:33:27,960 Speaker 3: release sterile flies to push it out of Mexico. And 552 00:33:27,960 --> 00:33:29,520 Speaker 3: then it was two thousand and one or two thousand 553 00:33:29,520 --> 00:33:32,400 Speaker 3: and two that we worked with the Panamanian government to 554 00:33:33,400 --> 00:33:37,040 Speaker 3: essentially our one sterile fly production facility is down in 555 00:33:37,040 --> 00:33:41,440 Speaker 3: Panama and all of the flies are essentially going there 556 00:33:41,600 --> 00:33:44,000 Speaker 3: to be released to kind of control it from moving 557 00:33:45,160 --> 00:33:46,160 Speaker 3: northward essentially. 558 00:33:46,680 --> 00:33:53,000 Speaker 1: And so normal magot people associate magots with eating undead. 559 00:33:52,720 --> 00:33:55,520 Speaker 3: Stuff, correct, Yeah. 560 00:33:54,600 --> 00:34:00,480 Speaker 1: But this is a magot, little living Yeah, but why 561 00:34:00,600 --> 00:34:06,360 Speaker 1: won't Why does a normal magot? I'm sure there's many kinds. Yeah, yeah, no, 562 00:34:06,400 --> 00:34:16,120 Speaker 1: I heard disco rice. Why does a normal magot want? 563 00:34:17,200 --> 00:34:19,360 Speaker 1: Why does he want dead stuff? Yeah? 564 00:34:19,400 --> 00:34:23,680 Speaker 3: So this is this is one thing that I tell 565 00:34:23,680 --> 00:34:26,760 Speaker 3: my students or anybody why questions are hard, right, because 566 00:34:26,840 --> 00:34:29,600 Speaker 3: it goes down to there's a why, and I can 567 00:34:29,640 --> 00:34:31,680 Speaker 3: tell you, you know, I don't necessarily know if we 568 00:34:31,800 --> 00:34:35,399 Speaker 3: completely know why one maggot is going to be specialized 569 00:34:35,520 --> 00:34:38,520 Speaker 3: for dead tissue. And and a lot of it does 570 00:34:38,560 --> 00:34:40,720 Speaker 3: have to do with you know, if you're thinking about 571 00:34:40,840 --> 00:34:43,080 Speaker 3: a normal maggot, that you would see they're not actually 572 00:34:43,080 --> 00:34:45,440 Speaker 3: feeding on the tissue. They're feeding on the bacteria, and 573 00:34:45,440 --> 00:34:49,320 Speaker 3: they're feeding on kind of all the gross decomposing material 574 00:34:49,400 --> 00:34:52,080 Speaker 3: that's there, and so that's what they're actually using. So 575 00:34:52,120 --> 00:34:54,320 Speaker 3: like I did my PhD working on house flies and 576 00:34:54,360 --> 00:34:56,480 Speaker 3: we're going to kind of create this what we called 577 00:34:56,560 --> 00:34:59,240 Speaker 3: larval media. It is essentially how we made new house flies. 578 00:34:59,400 --> 00:35:01,759 Speaker 3: And really it's just a combination of you know, like 579 00:35:01,920 --> 00:35:04,440 Speaker 3: brand and alfalfa and yeast and kind of it smells 580 00:35:04,440 --> 00:35:07,799 Speaker 3: good until you put flies in it. But all we're 581 00:35:07,800 --> 00:35:10,960 Speaker 3: doing is creating a bacteria and yet soup essentially so 582 00:35:11,040 --> 00:35:13,360 Speaker 3: that the maggots can feed on that and so that 583 00:35:13,840 --> 00:35:16,600 Speaker 3: I don't know if we actually know like what exactly 584 00:35:16,680 --> 00:35:17,560 Speaker 3: it is, but. 585 00:35:17,920 --> 00:35:22,279 Speaker 1: So they're after whatever else is going on, like like 586 00:35:22,320 --> 00:35:25,120 Speaker 1: what I keep calling a normal man. Yeah, they're after 587 00:35:25,280 --> 00:35:32,440 Speaker 1: whatever's going on from the decomposition process, not necessarily digesting 588 00:35:32,560 --> 00:35:33,920 Speaker 1: rotten protein. 589 00:35:33,560 --> 00:35:36,480 Speaker 3: Correct, Yeah, yeah, and they're doing they're doing a combination 590 00:35:36,600 --> 00:35:40,120 Speaker 3: of of all of that. But yeah, that what differentiates 591 00:35:40,160 --> 00:35:43,160 Speaker 3: them is is kind of it really has to do 592 00:35:43,360 --> 00:35:46,200 Speaker 3: just with that ones feeding on living tissue. 593 00:35:46,200 --> 00:35:46,360 Speaker 4: You know. 594 00:35:46,360 --> 00:35:50,160 Speaker 3: It's it's a fascinating thing that there's actually a therapy 595 00:35:50,200 --> 00:35:53,719 Speaker 3: it's called medical maggot therapy that they and there's a 596 00:35:54,840 --> 00:35:58,040 Speaker 3: there's a guy Ron Sherman, who was the first person 597 00:35:58,080 --> 00:36:01,239 Speaker 3: to get maggots. F FDA proved to put them into 598 00:36:01,280 --> 00:36:05,440 Speaker 3: wounds to actually clean out wounds. So you developed these mats, 599 00:36:05,760 --> 00:36:09,120 Speaker 3: So that's a it's Lucilius aricotta. It's just like a 600 00:36:09,120 --> 00:36:13,120 Speaker 3: common green blowfly that you would see. And they found 601 00:36:13,200 --> 00:36:16,000 Speaker 3: that again they're not feeding on living tissue. And there's 602 00:36:16,000 --> 00:36:18,240 Speaker 3: been some different studies that have shown that the maggots 603 00:36:18,280 --> 00:36:20,760 Speaker 3: are just as good as a doctor, right, or better 604 00:36:20,880 --> 00:36:23,240 Speaker 3: at cleaning up the edges of decomposing wounds. 605 00:36:23,280 --> 00:36:24,439 Speaker 1: Doesn't say much for you guys. 606 00:36:25,400 --> 00:36:27,600 Speaker 5: It's just as good as a doctor. Well, you know, 607 00:36:27,920 --> 00:36:30,239 Speaker 5: it's like lyrics coming out of this guy over here. 608 00:36:30,280 --> 00:36:32,040 Speaker 3: Well, you know it's one of those things like I 609 00:36:32,080 --> 00:36:34,799 Speaker 3: at least I'm a PhD and on MD, so I'm 610 00:36:34,840 --> 00:36:35,879 Speaker 3: just throwing shade at them. 611 00:36:35,880 --> 00:36:39,880 Speaker 1: So it's okay, I gotcha. Uh, just I don't want 612 00:36:39,920 --> 00:36:41,800 Speaker 1: to stay too long on the normal kind of magots. 613 00:36:41,840 --> 00:36:46,640 Speaker 1: But the more commonly available maggots, Yeah, in your local ditch, 614 00:36:47,040 --> 00:36:51,680 Speaker 1: but in your local summertime ditch is you know, you 615 00:36:51,719 --> 00:36:54,840 Speaker 1: know the peculiar like as much of the stench you 616 00:36:54,960 --> 00:36:58,080 Speaker 1: just said, like you could make a maggot medium. What 617 00:36:58,400 --> 00:36:59,520 Speaker 1: was in the magot medium? You make. 618 00:36:59,600 --> 00:37:02,480 Speaker 3: Yeah, So for for house flies, which isn't going to 619 00:37:02,520 --> 00:37:05,880 Speaker 3: be blowflies, that's a whole other thing, and we can 620 00:37:05,920 --> 00:37:08,920 Speaker 3: talk about that. The house fly stuff is brand alfalfa 621 00:37:09,280 --> 00:37:12,720 Speaker 3: yeast and dried milk. It smells okay, yeah, it smells 622 00:37:12,760 --> 00:37:16,280 Speaker 3: like you're bacon until you put flies in it, and then. 623 00:37:16,200 --> 00:37:20,160 Speaker 1: Yeah, why do they? Why do why do the Like 624 00:37:20,840 --> 00:37:24,160 Speaker 1: when you look at a rotten thing laying there in 625 00:37:24,200 --> 00:37:29,520 Speaker 1: your mind, it's like, what you're smelling is the rot, yeah, right, 626 00:37:29,880 --> 00:37:33,440 Speaker 1: But you put maggots on it, it creates its own stint. 627 00:37:33,640 --> 00:37:38,040 Speaker 3: Yeah, And I'll be honest, I don't know if you're 628 00:37:38,120 --> 00:37:42,080 Speaker 3: traditional or run of the mill blowfly maggots are producing 629 00:37:42,239 --> 00:37:45,840 Speaker 3: this like terrible odor. That is one thing though about 630 00:37:46,400 --> 00:37:50,520 Speaker 3: primary screworm that there is a specific odor that comes 631 00:37:50,520 --> 00:37:52,840 Speaker 3: off of the larvae that attracts more flies to that 632 00:37:52,960 --> 00:37:56,279 Speaker 3: wound so that they will lay more eggs. But I 633 00:37:56,719 --> 00:38:00,480 Speaker 3: can't actually speak to what is what exactly that is. 634 00:38:00,520 --> 00:38:02,040 Speaker 3: I think some of it, you know, if you're thinking 635 00:38:02,040 --> 00:38:05,880 Speaker 3: about it, is they're churning up all of those like 636 00:38:05,960 --> 00:38:07,239 Speaker 3: volatile things, right, So if. 637 00:38:07,120 --> 00:38:09,000 Speaker 1: You have some of your case, the thing that smells 638 00:38:09,000 --> 00:38:11,319 Speaker 1: it baking until you put the maggots on it, So 639 00:38:11,560 --> 00:38:13,359 Speaker 1: what are they doing that's making it stink? 640 00:38:13,520 --> 00:38:15,680 Speaker 3: Yeah, so some of that just has to do with 641 00:38:15,719 --> 00:38:18,880 Speaker 3: the latter process that we're dealing with it. And so 642 00:38:19,400 --> 00:38:21,840 Speaker 3: pretty much the entire time that the maggots are in 643 00:38:21,960 --> 00:38:25,160 Speaker 3: their their little container, they're fine. What we do is 644 00:38:25,320 --> 00:38:28,160 Speaker 3: we take advantage of their biology. So when they're getting 645 00:38:28,200 --> 00:38:30,759 Speaker 3: ready to pupate or kind of form that chrysalis like 646 00:38:30,760 --> 00:38:34,880 Speaker 3: a butterfly wood, they look for a dark, dry place 647 00:38:35,120 --> 00:38:38,359 Speaker 3: to kind of hide out. And so what we do 648 00:38:38,520 --> 00:38:41,360 Speaker 3: is we say, hey, like the cracks and johnis is 649 00:38:41,400 --> 00:38:44,000 Speaker 3: old dog out exactly? Yeah, yeah is we say, hey, 650 00:38:44,080 --> 00:38:45,520 Speaker 3: we want to take advantage of this. So we dump 651 00:38:45,560 --> 00:38:48,080 Speaker 3: water on them and we say and we essentially force 652 00:38:48,160 --> 00:38:50,360 Speaker 3: them out of their container into a secondary container that 653 00:38:50,400 --> 00:38:52,520 Speaker 3: then we can just collect them all up and essentially 654 00:38:53,360 --> 00:38:56,000 Speaker 3: cleanly pick them up. So really what the odor is 655 00:38:56,000 --> 00:38:59,520 Speaker 3: is a combination of the maggots. Now we have rotting 656 00:38:59,600 --> 00:39:01,920 Speaker 3: material that had maggots in it, some of the maggots 657 00:39:01,920 --> 00:39:05,000 Speaker 3: have died and started decomposing. I've until that point you 658 00:39:05,080 --> 00:39:08,040 Speaker 3: end up not having a super terrible loader. I will 659 00:39:08,040 --> 00:39:10,400 Speaker 3: also say though, that like I'm pretty nose blind at 660 00:39:10,400 --> 00:39:14,240 Speaker 3: this point. I've been working with flies for over a decade, 661 00:39:14,360 --> 00:39:17,160 Speaker 3: and anytime that I've had people come in, they're like, 662 00:39:17,560 --> 00:39:19,480 Speaker 3: oh no, this is terrible. And I'm like, there's very 663 00:39:19,480 --> 00:39:24,200 Speaker 3: particular smells that I'm bothered by, but fly maggots is 664 00:39:24,200 --> 00:39:25,640 Speaker 3: not necessarily one of them. 665 00:39:26,000 --> 00:39:28,920 Speaker 1: Yeah, No, I could probably go toe to toe with you. 666 00:39:29,160 --> 00:39:32,400 Speaker 1: Noah's blindness weird texting yesterday. There's this machine we're going 667 00:39:32,480 --> 00:39:36,080 Speaker 1: to talk about, the nasal Raider. You ever hear of 668 00:39:36,120 --> 00:39:39,680 Speaker 1: this now? Is that what it's called? Yeah, there's a way. 669 00:39:40,640 --> 00:39:42,920 Speaker 1: There's a machine. I'm not kidding you. We're gonna have 670 00:39:43,080 --> 00:39:46,560 Speaker 1: We're gonna talk all about it coming up. If you 671 00:39:46,600 --> 00:39:53,359 Speaker 1: get let's say you're a municipal nasal ranger. Let's say 672 00:39:53,400 --> 00:39:56,799 Speaker 1: you get a stench complaint. This this is the craziest thing. 673 00:39:56,960 --> 00:39:58,759 Speaker 1: There's a thing called the nasal Range. You can go 674 00:39:58,840 --> 00:40:03,719 Speaker 1: buy it. Someone calls and says, man, my neighbors whatever 675 00:40:03,719 --> 00:40:09,520 Speaker 1: they got going on, right, Yeah, stinks, hog farming, beetleworks, 676 00:40:09,560 --> 00:40:13,759 Speaker 1: cleaning skulls, whatever you gotta complain, sewage. But it's sort 677 00:40:13,760 --> 00:40:16,040 Speaker 1: of like it's it's like a little bit subjective. Yeah, 678 00:40:16,440 --> 00:40:17,840 Speaker 1: Like I could go over there and be like, I 679 00:40:17,840 --> 00:40:20,120 Speaker 1: don't see what the problem is. My wife would go 680 00:40:20,120 --> 00:40:23,319 Speaker 1: over there and be like, good lord, that's a problem, right. 681 00:40:24,680 --> 00:40:28,480 Speaker 1: So the nasal ranger you it's a machine you put 682 00:40:28,560 --> 00:40:31,920 Speaker 1: over your nose and there's a little meter that meters 683 00:40:31,920 --> 00:40:33,400 Speaker 1: that you're breathing fairly. 684 00:40:34,320 --> 00:40:34,680 Speaker 2: Okay. 685 00:40:36,040 --> 00:40:38,480 Speaker 1: You can't breathe too little, you can't breathe too much. 686 00:40:39,360 --> 00:40:44,040 Speaker 1: So it's like you gotta breathe sucking on that sucker 687 00:40:44,200 --> 00:40:46,160 Speaker 1: in a way that is like holding the needle on 688 00:40:46,200 --> 00:40:48,680 Speaker 1: the right spot, so you're breathing like a normal person. 689 00:40:48,719 --> 00:40:50,760 Speaker 3: It's the opposite of a breath lizer, and it's yeah. 690 00:40:50,800 --> 00:40:54,280 Speaker 1: Yeah, yeah, breath lizer. Yeah. Breath lizers like blow blow, 691 00:40:54,360 --> 00:40:54,799 Speaker 1: and you're like. 692 00:40:56,719 --> 00:41:00,480 Speaker 5: Body, okay, guy, like a guy who's experienced that. 693 00:41:00,080 --> 00:41:02,879 Speaker 1: This is so old. I could tell it without hope 694 00:41:02,920 --> 00:41:04,560 Speaker 1: I'll get him in trouble. I'm not gonna say who 695 00:41:04,560 --> 00:41:06,160 Speaker 1: it is. Did already say who it is? 696 00:41:06,400 --> 00:41:09,160 Speaker 2: No, I have a buddy, buddy. 697 00:41:08,920 --> 00:41:12,000 Speaker 1: I have a buddy who claimed in the old days, 698 00:41:12,040 --> 00:41:18,920 Speaker 1: long ago, he had claimed to developed a breathalyzer evading 699 00:41:18,960 --> 00:41:23,560 Speaker 1: breath technique. He felt that he was able to channel 700 00:41:24,040 --> 00:41:28,680 Speaker 1: secretly channel fresh air up through his nose feed the 701 00:41:28,719 --> 00:41:37,120 Speaker 1: breathalyzer without drawing into his inner self, Do you follow me? 702 00:41:37,400 --> 00:41:38,719 Speaker 2: Went to some dead shows. 703 00:41:40,440 --> 00:41:44,400 Speaker 1: Without letting the air come in and find out what 704 00:41:44,520 --> 00:41:46,040 Speaker 1: all is going on inside of him? 705 00:41:46,080 --> 00:41:50,400 Speaker 4: Did he have like a separate diaphragm and lung cavity? 706 00:41:50,520 --> 00:41:54,919 Speaker 1: He was a breathing technique that they're gonna name the guy. 707 00:41:56,200 --> 00:41:57,640 Speaker 2: Why would that get him in trouble? 708 00:41:58,360 --> 00:42:00,399 Speaker 1: No, if he was saying, if he were to get 709 00:42:00,400 --> 00:42:05,719 Speaker 1: breathalyzed by a law enforcement officer, he was saying, can't 710 00:42:05,760 --> 00:42:09,080 Speaker 1: catch me because I have a way. I have a 711 00:42:09,120 --> 00:42:12,120 Speaker 1: way that they don't know I'm doing it. But I'm 712 00:42:12,239 --> 00:42:15,640 Speaker 1: funneling in gusts of fresh air and in my nose 713 00:42:15,800 --> 00:42:19,759 Speaker 1: straight out my mouth. It's like players that do the 714 00:42:19,760 --> 00:42:25,640 Speaker 1: circular breathing, you know, circular breathing, the nasal ranger. It 715 00:42:25,719 --> 00:42:29,799 Speaker 1: then puts a number to the stench. Okay, how does 716 00:42:29,840 --> 00:42:32,359 Speaker 1: it do that? I haven't finished the video yet. 717 00:42:32,360 --> 00:42:36,280 Speaker 5: Okay, based on your breathing, based on your particular breathing. 718 00:42:36,600 --> 00:42:39,319 Speaker 1: It's like there's a woman that there's a whole video 719 00:42:39,320 --> 00:42:41,160 Speaker 1: where she's demonstrating how it works. You go to the 720 00:42:41,160 --> 00:42:44,760 Speaker 1: stinky area, she says, you can go stand I'm staying 721 00:42:44,760 --> 00:42:47,720 Speaker 1: five feet from the hog farm because the neighbor's fence 722 00:42:47,760 --> 00:42:49,680 Speaker 1: goes up to the hog farm. So I can stand 723 00:42:49,719 --> 00:42:51,839 Speaker 1: in the neighbor. I can stay in the yard. Put 724 00:42:51,840 --> 00:42:55,680 Speaker 1: my nasal ranger on, and the meter makes sure you're 725 00:42:55,719 --> 00:42:58,440 Speaker 1: breathing at a normal like what would be the normal 726 00:42:58,600 --> 00:43:08,879 Speaker 1: person's breathing. Meaning you can't go because that's not normal, right, 727 00:43:10,160 --> 00:43:12,680 Speaker 1: and you can't go like this for you people just listening, 728 00:43:12,640 --> 00:43:16,640 Speaker 1: I'm plugging my noise, yeah, because that's not normal. So 729 00:43:16,680 --> 00:43:20,400 Speaker 1: the nasal ranger makes you do a normal breath. 730 00:43:20,680 --> 00:43:23,080 Speaker 2: It seems like it's a little superhero or something. 731 00:43:23,920 --> 00:43:24,640 Speaker 3: Nasal ranger. 732 00:43:25,120 --> 00:43:27,880 Speaker 1: You do a normal breath and it's got these carbon 733 00:43:27,960 --> 00:43:35,440 Speaker 1: filters on it and whatnot, and it spits out a stench. Rank. Yeah. Interesting, 734 00:43:36,360 --> 00:43:37,279 Speaker 1: it's fascinating. 735 00:43:37,360 --> 00:43:37,680 Speaker 2: Yeah. 736 00:43:37,719 --> 00:43:40,680 Speaker 3: Well, you know, you were talking about forensic entomology before, 737 00:43:41,120 --> 00:43:43,880 Speaker 3: and you know, traditionally we do think about it from this, 738 00:43:44,200 --> 00:43:46,520 Speaker 3: you know, telling when you know, we call it kind 739 00:43:46,560 --> 00:43:49,319 Speaker 3: of the period of insect activity, not when when they died. 740 00:43:49,719 --> 00:43:53,480 Speaker 3: But it's most of the forensic cases that people are 741 00:43:53,480 --> 00:43:57,560 Speaker 3: working on aren't body cases. They're they're working on cases 742 00:43:57,600 --> 00:43:59,759 Speaker 3: of lawsuits. And so they're hired by a legal team 743 00:43:59,760 --> 00:44:02,759 Speaker 3: of you know, someone my PhD advisor over the years 744 00:44:02,800 --> 00:44:06,000 Speaker 3: had worked on, Oh, poultry farm is being sued by 745 00:44:06,040 --> 00:44:08,400 Speaker 3: a you know, a group of homeowners and they're saying 746 00:44:08,560 --> 00:44:11,640 Speaker 3: poultry farms producing flies and smell. And so he's kind 747 00:44:11,680 --> 00:44:13,880 Speaker 3: of an expert witness and goes out there does trapping 748 00:44:13,960 --> 00:44:15,759 Speaker 3: and does all of this stuff, and so we think 749 00:44:15,800 --> 00:44:19,520 Speaker 3: about it from that case as you know this, that's 750 00:44:19,600 --> 00:44:24,480 Speaker 3: really what people that do forensic entomology will do a 751 00:44:24,560 --> 00:44:27,080 Speaker 3: lot of those cases or stored product pest things, or 752 00:44:27,520 --> 00:44:30,279 Speaker 3: you know, a home that is infested with termites. First 753 00:44:30,400 --> 00:44:32,640 Speaker 3: let's say, and you know, there was a negligent home 754 00:44:32,680 --> 00:44:36,040 Speaker 3: inspector that didn't actually look to see and so they'll 755 00:44:36,040 --> 00:44:38,680 Speaker 3: bring in someone and say, oh, no, this termitidn't infestation 756 00:44:38,760 --> 00:44:41,359 Speaker 3: has been here for ten years, so they did that. 757 00:44:41,920 --> 00:44:45,080 Speaker 3: Then there are the people that are testifying in court 758 00:44:45,239 --> 00:44:47,520 Speaker 3: on saying like, yes, we collected these maggots and we 759 00:44:47,560 --> 00:44:50,400 Speaker 3: can tell that they were two days old or whatever, 760 00:44:50,440 --> 00:44:51,960 Speaker 3: and so that means that the body was put here 761 00:44:52,000 --> 00:44:54,480 Speaker 3: on you know, June fourteenth or whatever. 762 00:44:54,640 --> 00:44:58,239 Speaker 1: Yeah, but years ago, I was renting a house and 763 00:44:59,160 --> 00:45:01,000 Speaker 1: there was a base when I will supposed to utilize, 764 00:45:01,040 --> 00:45:04,799 Speaker 1: but we would utilize it. So I was I was 765 00:45:04,800 --> 00:45:06,359 Speaker 1: down there all the time. I knew what was down there. 766 00:45:06,800 --> 00:45:13,440 Speaker 1: Down there is all kinds of cockroach killer boxes. One 767 00:45:13,520 --> 00:45:15,560 Speaker 1: day call him and I said, man, there's a bad 768 00:45:15,640 --> 00:45:18,680 Speaker 1: cockroach problem in our house. Oh, we've never seen that. 769 00:45:22,719 --> 00:45:26,200 Speaker 1: And I couldn't be like, come on, I've been in 770 00:45:26,239 --> 00:45:33,640 Speaker 1: the base. I had to just take it. So we 771 00:45:33,760 --> 00:45:38,279 Speaker 1: got the magazine done dead stuff. The screworm hit me 772 00:45:38,320 --> 00:45:42,719 Speaker 1: with the life cycle of how a screworm works, like 773 00:45:42,760 --> 00:45:45,640 Speaker 1: he's I'm assuming he's got to have an entry point 774 00:45:45,680 --> 00:45:46,280 Speaker 1: like a wound. 775 00:45:46,480 --> 00:45:51,080 Speaker 3: Yeah, yeah, And so so the female screworm fly, the 776 00:45:51,120 --> 00:45:54,560 Speaker 3: one that's gonna lay the eggs. They're looking for a 777 00:45:54,600 --> 00:45:56,799 Speaker 3: wound or an orifice of some kind. So you know, 778 00:45:56,840 --> 00:46:01,000 Speaker 3: you can think mouth nos, oh no, I anus full 779 00:46:01,040 --> 00:46:02,680 Speaker 3: of that. Those are kind of the places that we're 780 00:46:02,680 --> 00:46:06,399 Speaker 3: traditionally seeing them in cattle at least, and so they're 781 00:46:06,440 --> 00:46:09,120 Speaker 3: looking for those, but we and so they will lay 782 00:46:09,120 --> 00:46:12,240 Speaker 3: in those locations. But the bigger concern is a wound. 783 00:46:12,239 --> 00:46:15,040 Speaker 3: And that wound could be anything from an animal that 784 00:46:15,280 --> 00:46:16,880 Speaker 3: you know, you run it through a shoot and it 785 00:46:17,000 --> 00:46:21,000 Speaker 3: you know, gets cut, or it could be a you know, 786 00:46:21,520 --> 00:46:23,880 Speaker 3: an antler that's fallen off, and so you have this 787 00:46:23,960 --> 00:46:26,760 Speaker 3: open kind of spot or oh really yeah, so anything 788 00:46:26,880 --> 00:46:30,080 Speaker 3: like that, and so of any of these locations that 789 00:46:30,080 --> 00:46:33,800 Speaker 3: could be open, the literature says kind of even something 790 00:46:33,880 --> 00:46:37,160 Speaker 3: like a tick bite location, something is enough. And so 791 00:46:37,400 --> 00:46:41,120 Speaker 3: they're attracted to these open wounds. Female comes in, dumps 792 00:46:41,120 --> 00:46:44,120 Speaker 3: a bunch of eggs. She'll lay that wound on that 793 00:46:44,160 --> 00:46:47,879 Speaker 3: little wound. Those eggs hatch in twelve to twenty four 794 00:46:47,880 --> 00:46:52,760 Speaker 3: hours they start. Then those maggots essentially they're super super small. 795 00:46:52,800 --> 00:46:55,399 Speaker 3: You can't actually see them, or you can, but most 796 00:46:55,400 --> 00:46:57,080 Speaker 3: people if they were looking at an animal wouldn't be 797 00:46:57,080 --> 00:46:59,719 Speaker 3: able to see it. They start burrowing into the skin. 798 00:47:00,160 --> 00:47:03,399 Speaker 1: Not a big old disco rice style, no, no. 799 00:47:03,480 --> 00:47:06,360 Speaker 3: So so initially they're like, I could see them, but 800 00:47:06,400 --> 00:47:09,080 Speaker 3: when we're talking to people, we generally say that they 801 00:47:09,120 --> 00:47:12,279 Speaker 3: probably would go undetected for two to three days and 802 00:47:12,360 --> 00:47:14,399 Speaker 3: so really yeah and so and so they're pretty soon 803 00:47:14,480 --> 00:47:16,160 Speaker 3: you would just look, yeah. 804 00:47:15,880 --> 00:47:18,200 Speaker 1: At a distance and just see a festering wound. 805 00:47:18,360 --> 00:47:20,920 Speaker 3: Yeah, yeah, and so and that's the whole thing, and so, uh, 806 00:47:21,239 --> 00:47:24,640 Speaker 3: the those maggots will hatch again. For some reason, the 807 00:47:24,719 --> 00:47:28,680 Speaker 3: larvae start producing this this odor that then draws in 808 00:47:28,760 --> 00:47:31,160 Speaker 3: more flies that will then lay more eggs. 809 00:47:30,800 --> 00:47:31,200 Speaker 2: On that way. 810 00:47:31,800 --> 00:47:35,880 Speaker 3: Yeah, so that's actually something that's really interesting. This scientist 811 00:47:35,920 --> 00:47:38,560 Speaker 3: John Welch, who's kind of dedicated his life for the 812 00:47:38,600 --> 00:47:41,400 Speaker 3: last sixty or so years doing this. In the mid nineties, 813 00:47:41,440 --> 00:47:44,520 Speaker 3: he actually trained a dog to detect uh screw them 814 00:47:44,760 --> 00:47:47,279 Speaker 3: kind of infestations. Yeah, and so yeah, so there's like 815 00:47:47,320 --> 00:47:49,279 Speaker 3: a little bit of work there. It's kind of a 816 00:47:49,320 --> 00:47:52,080 Speaker 3: fascinating thing. It's kind of like people will use dogs 817 00:47:52,080 --> 00:47:54,120 Speaker 3: to detect bed bugs and things like that as well. 818 00:47:54,200 --> 00:47:55,799 Speaker 1: Okay, so then. 819 00:47:55,719 --> 00:47:58,520 Speaker 3: Those larvae kind of continue to develop, they go through 820 00:47:58,800 --> 00:48:01,840 Speaker 3: what we call these larv in stars or larval stages. 821 00:48:02,040 --> 00:48:04,520 Speaker 3: So that's like a five to seven day period and 822 00:48:04,600 --> 00:48:06,640 Speaker 3: so here, I don't know, this would be bad for 823 00:48:06,640 --> 00:48:10,520 Speaker 3: the audience, but so those would be uh yeah uh 824 00:48:10,640 --> 00:48:14,759 Speaker 3: so those would be maggots that are that would be 825 00:48:14,840 --> 00:48:19,320 Speaker 3: three three to four, three to four days old. Uh 826 00:48:19,400 --> 00:48:24,080 Speaker 3: and so yeah, and again so those are. 827 00:48:23,280 --> 00:48:27,239 Speaker 1: These these are significant, Like it'd be the biggest one 828 00:48:27,280 --> 00:48:29,720 Speaker 1: in here just for people that are not watching but listening, 829 00:48:30,480 --> 00:48:36,399 Speaker 1: The biggest one in here would be barely suitable as 830 00:48:36,560 --> 00:48:37,359 Speaker 1: ice fish and bait. 831 00:48:42,440 --> 00:48:47,000 Speaker 3: Yeah, and so those are probably three to four days old, 832 00:48:47,719 --> 00:48:49,879 Speaker 3: and so they'll kind of be in this wound for 833 00:48:50,440 --> 00:48:53,560 Speaker 3: five to seven days. During that time, again they're attracting 834 00:48:53,600 --> 00:48:57,319 Speaker 3: more and more adults that are laying eggs, and so 835 00:48:57,360 --> 00:49:00,600 Speaker 3: you can get all these different life stages. At that point, 836 00:49:00,680 --> 00:49:04,759 Speaker 3: they say, hey, we're ready to kind of become an 837 00:49:04,800 --> 00:49:07,319 Speaker 3: adult fly. So they crawl out of the wound and 838 00:49:07,400 --> 00:49:10,359 Speaker 3: into the soil where they didn't pew pat, so again 839 00:49:10,440 --> 00:49:12,239 Speaker 3: that chrysalist type of a thing that you'd have with 840 00:49:12,239 --> 00:49:16,359 Speaker 3: a butterfly. They hang out in that stage for you know, 841 00:49:16,719 --> 00:49:20,480 Speaker 3: six d eight days and then they emerge kind of as adults. 842 00:49:20,680 --> 00:49:21,000 Speaker 1: And so. 843 00:49:22,480 --> 00:49:25,440 Speaker 3: Depending on the temperature, you can kind of you know, 844 00:49:25,480 --> 00:49:28,400 Speaker 3: it's a two to three week kind of total life cycle. 845 00:49:28,640 --> 00:49:31,280 Speaker 3: But one thing is is that with an infested animal 846 00:49:31,480 --> 00:49:33,960 Speaker 3: like you can you can kill an infested animal in 847 00:49:34,400 --> 00:49:38,040 Speaker 3: five to seven days. And so it's and it's what 848 00:49:38,040 --> 00:49:39,640 Speaker 3: what is killing like if you ran. 849 00:49:41,120 --> 00:49:47,400 Speaker 1: Let's say we take a cow, a cow gets a 850 00:49:47,480 --> 00:49:50,239 Speaker 1: nick from barboar or pick give me, give me. The 851 00:49:50,239 --> 00:49:52,840 Speaker 1: most common reason you see on your on cattle was 852 00:49:52,880 --> 00:49:55,160 Speaker 1: the most common reason you'd see a cut on a cow. 853 00:49:55,280 --> 00:49:56,640 Speaker 2: You know, barbour is a good one. 854 00:49:56,680 --> 00:49:59,200 Speaker 1: Okay, it gets hung out in the barboar. Yeah, gets 855 00:49:59,239 --> 00:50:04,359 Speaker 1: a couple of cuts on it. Yep, the fly finds it. Yep, 856 00:50:05,120 --> 00:50:08,560 Speaker 1: they get out it. It dies in two weeks. Yeah, 857 00:50:08,680 --> 00:50:12,640 Speaker 1: yeah it could right. Yeah, you do an autopsy, someone 858 00:50:12,640 --> 00:50:16,560 Speaker 1: does an autopsy. Yep, they're like like what what what 859 00:50:16,760 --> 00:50:17,560 Speaker 1: actually killed it? 860 00:50:17,719 --> 00:50:18,040 Speaker 2: Yeah? 861 00:50:18,440 --> 00:50:21,279 Speaker 3: You know, it's kind of like with with anything right there. 862 00:50:21,320 --> 00:50:23,960 Speaker 3: There could be a number of different things. So we 863 00:50:24,719 --> 00:50:28,160 Speaker 3: depending on where you were, you know, where that site was, 864 00:50:28,200 --> 00:50:29,759 Speaker 3: and they burrow in, you know, you could be. 865 00:50:29,719 --> 00:50:30,560 Speaker 1: Eating they burrow. 866 00:50:30,640 --> 00:50:30,839 Speaker 2: Yeah. 867 00:50:30,840 --> 00:50:33,200 Speaker 3: So that's that's part of the reason that the name 868 00:50:33,239 --> 00:50:36,239 Speaker 3: screworm exists is one the larvae have these ridges on 869 00:50:36,280 --> 00:50:38,319 Speaker 3: them that kind of look like a screw would. The 870 00:50:38,360 --> 00:50:41,920 Speaker 3: other thing is that they say they screw into the wound. Essentially, 871 00:50:41,920 --> 00:50:45,880 Speaker 3: they're burrowing their way through the cavity of the animal. 872 00:50:45,960 --> 00:50:48,400 Speaker 1: And so I was thinking of somehow I was thinking 873 00:50:48,480 --> 00:50:51,439 Speaker 1: more of them like no, like on the surface, yeah, 874 00:50:51,480 --> 00:50:53,759 Speaker 1: like the hide or something now and and and so 875 00:50:53,800 --> 00:50:56,319 Speaker 1: they go so they're going straight in even yeah, and 876 00:50:56,360 --> 00:50:58,800 Speaker 1: so they could be eating vital organs, they could be 877 00:50:58,840 --> 00:50:59,839 Speaker 1: doing anything like that. 878 00:51:00,080 --> 00:51:01,360 Speaker 3: The other thing that we think about. 879 00:51:01,200 --> 00:51:03,000 Speaker 1: But they could see they could get in there and 880 00:51:03,000 --> 00:51:05,279 Speaker 1: be like like eating lung. 881 00:51:05,600 --> 00:51:08,359 Speaker 3: Yeah, So what happened, So we had a we had 882 00:51:08,400 --> 00:51:11,960 Speaker 3: an outbreak of screwworm in the Florida Keys in twenty sixteen. 883 00:51:12,440 --> 00:51:15,160 Speaker 3: It's the last time that we had an outbreak in 884 00:51:15,200 --> 00:51:18,640 Speaker 3: the US, like, so yes and no, it was the 885 00:51:18,640 --> 00:51:20,440 Speaker 3: first time that we'd had an outbreak. We still don't 886 00:51:20,440 --> 00:51:22,360 Speaker 3: know where the flies came from. Like it's this whole 887 00:51:22,360 --> 00:51:27,120 Speaker 3: wild kind of thing of yes. Yeah, I'm not going 888 00:51:27,200 --> 00:51:28,160 Speaker 3: to say anything. 889 00:51:28,800 --> 00:51:31,640 Speaker 1: That's called just that's called reckless. Yes, yes, very much. 890 00:51:31,719 --> 00:51:33,520 Speaker 3: Like can we retrise that from the records? 891 00:51:34,160 --> 00:51:36,080 Speaker 1: I don't even know what it's just reckless. I don't 892 00:51:36,080 --> 00:51:37,160 Speaker 1: need some word, so. 893 00:51:38,120 --> 00:51:41,359 Speaker 3: Yes and no. So to answer your question, there are 894 00:51:41,440 --> 00:51:43,880 Speaker 3: incursions that occur all the time. But the thing is 895 00:51:43,880 --> 00:51:47,560 Speaker 3: is that in twenty twenty sixteen, we didn't have this 896 00:51:47,680 --> 00:51:51,400 Speaker 3: kind of like you know, this kind of infantry essentially 897 00:51:51,440 --> 00:51:53,919 Speaker 3: that was moving forward that's super close to the US. 898 00:51:54,040 --> 00:51:56,120 Speaker 3: This was kind of like it popped up and then 899 00:51:56,120 --> 00:51:58,560 Speaker 3: we were able to wipe the boat in cattle No sop. 900 00:51:58,640 --> 00:52:01,080 Speaker 3: It popped up in key Deer. And so what happened 901 00:52:01,280 --> 00:52:04,560 Speaker 3: is they threatened. Yeah, it's a threatening endangered species. And 902 00:52:04,600 --> 00:52:09,960 Speaker 3: so what ended up happening there is that they the people, 903 00:52:10,000 --> 00:52:12,160 Speaker 3: you know, they're essentially like pets down there, and and 904 00:52:12,239 --> 00:52:16,239 Speaker 3: so there are people kind of just like some people. 905 00:52:16,280 --> 00:52:18,560 Speaker 1: But if you're listening and you're not familiar with key deer, 906 00:52:19,680 --> 00:52:21,719 Speaker 1: keys deer key, dear not to me, he's taking with 907 00:52:21,800 --> 00:52:26,759 Speaker 1: coos deer. Correct. There's this little little teeny shit in 908 00:52:26,880 --> 00:52:33,359 Speaker 1: white tail that's like like they're cute, yeah, but he's 909 00:52:33,400 --> 00:52:36,680 Speaker 1: no more afraid of the water as a muskrat. I mean, 910 00:52:36,719 --> 00:52:39,440 Speaker 1: they'll swim around. You should go check them out, like 911 00:52:39,480 --> 00:52:42,360 Speaker 1: a little teeny deer. But they're like nowadays, in the 912 00:52:42,400 --> 00:52:44,520 Speaker 1: old days you would call them subspecies. I think you'd 913 00:52:44,560 --> 00:52:49,000 Speaker 1: call them an eco type, an ego, a white tail 914 00:52:49,120 --> 00:52:53,719 Speaker 1: eco type down in the keys that there aren't many 915 00:52:54,160 --> 00:52:56,160 Speaker 1: that they get. You can't hunt them, they get hit 916 00:52:56,239 --> 00:52:59,760 Speaker 1: by cars. They haven't been hunting, so on the very tame. 917 00:53:00,040 --> 00:53:03,239 Speaker 1: But it's like a but a species of concern for sure. 918 00:53:03,360 --> 00:53:04,480 Speaker 1: They'll blink out yep. 919 00:53:04,760 --> 00:53:07,600 Speaker 3: And so what ended up happening was it kind of 920 00:53:07,640 --> 00:53:10,839 Speaker 3: went undetected or unreported for a while, and then people 921 00:53:10,880 --> 00:53:14,440 Speaker 3: started noticing, Hey, why why is you know, my my 922 00:53:14,480 --> 00:53:17,960 Speaker 3: pet deer stumbling around. And what they ended up realizing 923 00:53:18,360 --> 00:53:20,880 Speaker 3: was when they checked out the first couple of animals 924 00:53:21,000 --> 00:53:25,200 Speaker 3: was that screworm had essentially gone laid eggs near the 925 00:53:25,239 --> 00:53:29,040 Speaker 3: antlers and had burrowed their way through the skull. 926 00:53:28,760 --> 00:53:29,240 Speaker 1: Of the animals. 927 00:53:29,280 --> 00:53:31,759 Speaker 3: And we're eating the brains of the kid deer on 928 00:53:31,840 --> 00:53:33,920 Speaker 3: his pedical like the ailer base. 929 00:53:34,480 --> 00:53:35,040 Speaker 1: You're kidding? 930 00:53:35,120 --> 00:53:37,759 Speaker 3: Yeah, yeah, I have some some wild photos that are 931 00:53:37,800 --> 00:53:38,759 Speaker 3: just kind of here. 932 00:53:38,800 --> 00:53:42,480 Speaker 1: Send them to Phil. Ok So Phil wants to see me. 933 00:53:44,040 --> 00:53:47,440 Speaker 5: You were talking about Let's say a Kyle got stuck 934 00:53:47,480 --> 00:53:49,600 Speaker 5: in some barbed wire and she got a cut on 935 00:53:49,680 --> 00:53:53,040 Speaker 5: her leg, and so that's a long ways from the 936 00:53:53,080 --> 00:53:55,920 Speaker 5: brain as opposed to a deer getting it in the 937 00:53:55,920 --> 00:53:57,520 Speaker 5: antler and it's going right into the brain. 938 00:53:57,560 --> 00:53:58,400 Speaker 2: How long does. 939 00:53:58,239 --> 00:54:01,279 Speaker 5: That take to I mean, what what's that process? 940 00:54:01,719 --> 00:54:02,080 Speaker 1: Yeah? 941 00:54:02,239 --> 00:54:05,600 Speaker 3: So some of it is you. You potentially wouldn't have, 942 00:54:06,080 --> 00:54:08,640 Speaker 3: you know, complete migration in in that location. What would 943 00:54:08,640 --> 00:54:10,359 Speaker 3: be the best way for me to send the Oh 944 00:54:10,520 --> 00:54:10,960 Speaker 3: sorry that. 945 00:54:11,760 --> 00:54:14,480 Speaker 1: Uh, if you're on a fed with with Korean, you 946 00:54:14,480 --> 00:54:15,759 Speaker 1: can send them to her and then she can ford 947 00:54:15,800 --> 00:54:16,040 Speaker 1: him on it. 948 00:54:16,120 --> 00:54:19,239 Speaker 3: Okay, can I just give you because I don't I 949 00:54:19,239 --> 00:54:21,640 Speaker 3: don't I'm not connected with the internet or anything here. Okay, Yeah, 950 00:54:21,880 --> 00:54:23,560 Speaker 3: can I just give you my computer and you can 951 00:54:23,600 --> 00:54:24,680 Speaker 3: just send this PowerPoint over? 952 00:54:26,280 --> 00:54:29,399 Speaker 1: Oh yeah, so you know what we're thinking about doing. 953 00:54:31,080 --> 00:54:33,560 Speaker 1: You got some good photos. Yeah, so we do this 954 00:54:33,640 --> 00:54:40,719 Speaker 1: calendar series we did, like fed Up Deer Stands. 955 00:54:41,000 --> 00:54:42,799 Speaker 3: Yeah, have one in my house? 956 00:54:42,880 --> 00:54:45,960 Speaker 1: Oh you do. I don't want I'm getting out of 957 00:54:46,000 --> 00:54:50,560 Speaker 1: the calendar business, but we might do one last calendar 958 00:54:50,600 --> 00:54:54,560 Speaker 1: called aft Up Wildlife Diseases. Yeah, and it's just every 959 00:54:54,600 --> 00:54:57,279 Speaker 1: month that's a picture of a terrible wildlife disease. Yeah, 960 00:54:57,280 --> 00:54:59,160 Speaker 1: and that's going to kind of close out the series 961 00:54:59,200 --> 00:55:00,360 Speaker 1: because no one will buy. 962 00:55:00,680 --> 00:55:02,360 Speaker 3: I don't know, you're gonna have a bunch of intomologists 963 00:55:02,360 --> 00:55:02,759 Speaker 3: that want to buy. 964 00:55:02,960 --> 00:55:06,520 Speaker 1: The problem is with the series is every year, like 965 00:55:06,600 --> 00:55:09,440 Speaker 1: people buy them a little bit. Yeah, a little bit 966 00:55:09,520 --> 00:55:13,160 Speaker 1: less all the time because calendar is fading out. But 967 00:55:13,480 --> 00:55:17,680 Speaker 1: to have a calendar that was so disgusting you follow me, Yeah, 968 00:55:17,920 --> 00:55:20,400 Speaker 1: so disgusting that no one bought it, it would just 969 00:55:21,520 --> 00:55:22,240 Speaker 1: end the calendar. 970 00:55:22,920 --> 00:55:24,960 Speaker 3: Maybe or it becomes really really popular. 971 00:55:25,040 --> 00:55:27,560 Speaker 1: Now it's gonna end it up wild Life Diseases. Yeah, 972 00:55:27,640 --> 00:55:30,560 Speaker 1: that we'll put January. It can be screw worm. 973 00:55:30,680 --> 00:55:32,799 Speaker 3: Yeah, yeah, it could be it could be screworm. You know, 974 00:55:32,800 --> 00:55:33,760 Speaker 3: it could be a blue tongue. 975 00:55:33,920 --> 00:55:34,440 Speaker 1: It could be. 976 00:55:34,520 --> 00:55:37,280 Speaker 4: EHDVT calendar off like one slide. 977 00:55:37,360 --> 00:55:42,440 Speaker 1: Yeah, just the calendar was called one ft up wildlife disease. 978 00:55:43,680 --> 00:55:48,480 Speaker 3: Yeah. Yeah, but do we want to put this in 979 00:55:48,520 --> 00:55:49,200 Speaker 3: the video version? 980 00:55:49,239 --> 00:55:52,839 Speaker 2: But okay, it's gonna get some kind of warming. 981 00:55:54,719 --> 00:55:56,360 Speaker 1: There's a question I wanted to ask you earlier that 982 00:55:56,400 --> 00:55:58,800 Speaker 1: can we back up to We got you so whacked 983 00:55:58,800 --> 00:56:00,719 Speaker 1: out now by the time we puictures drop, But it 984 00:56:00,719 --> 00:56:04,239 Speaker 1: was a question I want to ask you earlier. What 985 00:56:04,320 --> 00:56:08,880 Speaker 1: can you explain real quick? We have a thing like 986 00:56:08,880 --> 00:56:14,400 Speaker 1: like what are the you know, like a meat bee. 987 00:56:14,480 --> 00:56:17,480 Speaker 1: We call him a meat bee. Yeah, let's say you're 988 00:56:17,480 --> 00:56:21,360 Speaker 1: cleaning fresh that you're cleaning fresh fish, okay, or you're 989 00:56:21,520 --> 00:56:24,719 Speaker 1: uning a burger on in your yard. The bee that 990 00:56:24,800 --> 00:56:29,920 Speaker 1: comes to that, his motivation is nothing like a fly, right. 991 00:56:31,120 --> 00:56:34,759 Speaker 3: Yes and no. You know, they're looking for a protein source. 992 00:56:34,800 --> 00:56:38,440 Speaker 3: So depending on on what it is. So, there are things, uh, 993 00:56:38,520 --> 00:56:40,720 Speaker 3: there's a bunch of different species that could be wasps 994 00:56:40,719 --> 00:56:42,720 Speaker 3: that will feed on meat. There are things called vulture 995 00:56:42,719 --> 00:56:47,240 Speaker 3: bees actually that will feed on decomposing material and stuff 996 00:56:47,280 --> 00:56:49,040 Speaker 3: like that I had. I had a colleague in California 997 00:56:49,040 --> 00:56:51,279 Speaker 3: that did some work on them. So again they're looking 998 00:56:51,320 --> 00:56:52,560 Speaker 3: for a food source. So it's going to be a 999 00:56:52,560 --> 00:56:53,160 Speaker 3: similar thing. 1000 00:56:53,400 --> 00:56:55,920 Speaker 1: Depending on looking to lay is like now I come 1001 00:56:56,040 --> 00:56:59,720 Speaker 1: to a fresh fish, he's never looking, he's not looking 1002 00:56:59,760 --> 00:57:02,680 Speaker 1: to eat the fish. Depending it depends on the fly. 1003 00:57:02,920 --> 00:57:05,359 Speaker 3: And so obviously you're gonna have some organisms that are 1004 00:57:05,400 --> 00:57:07,399 Speaker 3: gonna you know, your blowflies are going to be looking 1005 00:57:07,560 --> 00:57:10,040 Speaker 3: for a you know, a place to lay their eggs. 1006 00:57:10,560 --> 00:57:13,080 Speaker 3: But then some of your standard you know, run of 1007 00:57:13,120 --> 00:57:15,200 Speaker 3: the mill near your house fly or something like that. 1008 00:57:15,600 --> 00:57:17,600 Speaker 3: It might be coming there to lay eggs, or it 1009 00:57:17,640 --> 00:57:20,200 Speaker 3: could just be coming there to you know, defeed as well, 1010 00:57:20,520 --> 00:57:22,080 Speaker 3: you know, and he might eat. 1011 00:57:23,400 --> 00:57:25,160 Speaker 1: Yeah, and then he might later come back and be like, 1012 00:57:25,200 --> 00:57:28,160 Speaker 1: I'm gonna lay my eggs on that it's rotten. Yeah, okay. 1013 00:57:28,320 --> 00:57:31,400 Speaker 3: And so again it's gonna be a That's the one 1014 00:57:31,480 --> 00:57:34,560 Speaker 3: problem with with anything is that there's nuance in in 1015 00:57:34,680 --> 00:57:36,520 Speaker 3: all of these and so you are going to have 1016 00:57:36,600 --> 00:57:40,240 Speaker 3: some stuff with uh, you know, any of these blowflies 1017 00:57:40,320 --> 00:57:42,080 Speaker 3: or a lot of the blowflies that are coming into 1018 00:57:42,680 --> 00:57:45,200 Speaker 3: look for, you know, a place to lay their eggs, 1019 00:57:46,240 --> 00:57:48,800 Speaker 3: and you will see that you know, we've done some 1020 00:57:49,640 --> 00:57:52,360 Speaker 3: forensic work where you know, we're putting a dead pig 1021 00:57:52,440 --> 00:57:55,520 Speaker 3: out in the environment and then collecting maggots and stuff 1022 00:57:55,560 --> 00:57:58,040 Speaker 3: like that for our forensic entomology class. And you will 1023 00:57:58,080 --> 00:58:00,120 Speaker 3: see you'll see blowflies that are showing up with and 1024 00:58:00,720 --> 00:58:02,800 Speaker 3: you know, two minutes of us unloading it from a 1025 00:58:02,840 --> 00:58:06,720 Speaker 3: truck and then they those guys are looking for a 1026 00:58:06,800 --> 00:58:11,080 Speaker 3: place to uh light eggs. They're attracted to the you know, 1027 00:58:11,160 --> 00:58:13,600 Speaker 3: the smell of death, the decomposition, everything like that. But 1028 00:58:13,680 --> 00:58:16,200 Speaker 3: once the body cavity and everything like that opens up, 1029 00:58:16,520 --> 00:58:18,360 Speaker 3: you're going to get egg lay. But you also are 1030 00:58:18,440 --> 00:58:21,240 Speaker 3: just going to get them feeding on secretions and everything 1031 00:58:21,360 --> 00:58:23,439 Speaker 3: like that that that exists there as well. 1032 00:58:23,560 --> 00:58:30,280 Speaker 1: So how many species of fly in the US? I 1033 00:58:30,320 --> 00:58:32,000 Speaker 1: don't know how you guys would divide it up? Like 1034 00:58:32,080 --> 00:58:33,640 Speaker 1: I know that you have like dip terrace, so you 1035 00:58:33,720 --> 00:58:38,080 Speaker 1: have you know, little midges andnoseums and but like, but 1036 00:58:39,120 --> 00:58:42,480 Speaker 1: how many species of fly are out there, like visible 1037 00:58:42,880 --> 00:58:44,720 Speaker 1: clearly visible flies? 1038 00:58:45,800 --> 00:58:49,600 Speaker 3: Well, I don't know if I could tell you a number, right, 1039 00:58:49,760 --> 00:58:54,240 Speaker 3: say that many? Yeah, yeah, And and again the diversity 1040 00:58:54,800 --> 00:58:56,960 Speaker 3: of them, you know it, you know, it goes from 1041 00:58:57,160 --> 00:58:59,840 Speaker 3: everything to a mosquito, which you know you could see, uh, 1042 00:59:00,120 --> 00:59:02,600 Speaker 3: your horse flies right like so and and then you 1043 00:59:02,720 --> 00:59:05,960 Speaker 3: have you know, no CM's your chilicoids or your lepticon ops. 1044 00:59:06,040 --> 00:59:09,000 Speaker 3: You know, these biting midges that are transmitting pathogens and 1045 00:59:09,080 --> 00:59:12,120 Speaker 3: things like that. So yeah, it's just like dozens and dozens, yeah, 1046 00:59:12,240 --> 00:59:16,480 Speaker 3: or thousands probably Yeah, no kid, Yeah and so and 1047 00:59:16,960 --> 00:59:19,480 Speaker 3: again in the US, I couldn't tell you exactly. I'm 1048 00:59:19,520 --> 00:59:22,960 Speaker 3: not someone that does fly systematics of kind of understanding 1049 00:59:23,000 --> 00:59:26,120 Speaker 3: all the relatedness, but you know, yeah, there's there's a 1050 00:59:26,200 --> 00:59:26,480 Speaker 3: ton of. 1051 00:59:26,480 --> 00:59:30,240 Speaker 1: Them, perhaps thousands of feah. Okay, all right, So when 1052 00:59:30,280 --> 00:59:32,480 Speaker 1: we got y'all screwed up with trying to get the pictures, 1053 00:59:33,200 --> 00:59:37,800 Speaker 1: you were laying out talking about the key key here. Yeah, 1054 00:59:38,480 --> 00:59:40,640 Speaker 1: keys your key. I think it's key. I think it's 1055 00:59:40,680 --> 00:59:43,439 Speaker 1: key key. Yeah, you're laying that out. We're talking about 1056 00:59:43,440 --> 00:59:45,320 Speaker 1: the getting into the brain. And Doug was bringing up 1057 00:59:45,400 --> 00:59:48,000 Speaker 1: let's say it. Let's say a cow gets a cut. 1058 00:59:47,880 --> 00:59:50,680 Speaker 2: On its hit leg, yeah or something. It's hip. 1059 00:59:50,920 --> 00:59:53,720 Speaker 1: No, there's no like you know, you can't. He's not 1060 00:59:53,840 --> 00:59:55,320 Speaker 1: in the lungs, he's not in the brain. 1061 00:59:55,680 --> 00:59:55,880 Speaker 2: Yeah. 1062 00:59:56,040 --> 00:59:59,120 Speaker 3: Yeah, and so again, in those types of situations, you 1063 00:59:59,320 --> 01:00:01,920 Speaker 3: probably it's just going to be invading that tissue there. 1064 01:00:02,000 --> 01:00:04,080 Speaker 3: It's not going to migrate and move. It's not like 1065 01:00:04,160 --> 01:00:06,440 Speaker 3: it's targeting the brain or something like that. It's it's 1066 01:00:06,440 --> 01:00:08,840 Speaker 3: just looking for an open an open wound. So wherever 1067 01:00:08,960 --> 01:00:12,720 Speaker 3: that open wound is, and then that is essentially then 1068 01:00:12,760 --> 01:00:14,640 Speaker 3: at that point going to be expanding out. So you're 1069 01:00:14,680 --> 01:00:16,520 Speaker 3: just going to have this cavity that is forming. And 1070 01:00:16,600 --> 01:00:18,600 Speaker 3: a lot of times what ends up happening is that 1071 01:00:18,680 --> 01:00:22,320 Speaker 3: if it's not something where it's like complete consumption, it's 1072 01:00:22,640 --> 01:00:25,960 Speaker 3: actually the you know, a secondary bacterial infection that ends 1073 01:00:26,000 --> 01:00:28,280 Speaker 3: up being the problem. And so you know, just just 1074 01:00:28,360 --> 01:00:30,640 Speaker 3: think of a sort of one of the fever exactly. 1075 01:00:30,760 --> 01:00:34,000 Speaker 3: And again, like what you'll see clinically in animals is 1076 01:00:34,120 --> 01:00:35,960 Speaker 3: kind of you know, a lot of those standard like 1077 01:00:36,680 --> 01:00:38,880 Speaker 3: failure to thrive symptoms that you would see, you know, 1078 01:00:39,000 --> 01:00:42,640 Speaker 3: drooping head, animals that are isolating, kind of a lot 1079 01:00:42,680 --> 01:00:45,880 Speaker 3: of these things. You know, oh, a very specific odor 1080 01:00:45,960 --> 01:00:49,720 Speaker 3: that's coming out of it, and then wounds that essentially 1081 01:00:50,040 --> 01:00:51,960 Speaker 3: you know, might even look small on the surface, but 1082 01:00:52,000 --> 01:00:55,720 Speaker 3: it's a deep cavity that that's going inwards. And again 1083 01:00:55,760 --> 01:00:57,880 Speaker 3: all of that is just opening up for you know, 1084 01:00:57,960 --> 01:00:59,240 Speaker 3: secondary bacterial infection. 1085 01:00:59,440 --> 01:01:03,960 Speaker 5: So do they like horn flies, face flies, you know, 1086 01:01:04,040 --> 01:01:06,640 Speaker 5: stuff that I've dealt with death cattle? Do these are 1087 01:01:06,680 --> 01:01:10,320 Speaker 5: they also attracted like eyes and nose and that they're 1088 01:01:10,320 --> 01:01:11,439 Speaker 5: around the head all the time. 1089 01:01:11,600 --> 01:01:15,960 Speaker 3: Yeah, yeah, so so horn flies not as much. Sometimes 1090 01:01:16,000 --> 01:01:19,440 Speaker 3: you sometimes you will see them in and around the head, 1091 01:01:19,480 --> 01:01:21,360 Speaker 3: you know, I guess that's where the you know, with 1092 01:01:21,760 --> 01:01:23,800 Speaker 3: horn flies, but generally you've seen horn flies like on 1093 01:01:23,880 --> 01:01:27,560 Speaker 3: the back of the animal and everythings like that. So yeah, 1094 01:01:27,920 --> 01:01:31,000 Speaker 3: these guys, they they will be because they're going to 1095 01:01:31,040 --> 01:01:33,280 Speaker 3: be attracted to you know, the nose and the mouth 1096 01:01:33,360 --> 01:01:37,760 Speaker 3: and and things like that. But it's really they're looking 1097 01:01:37,840 --> 01:01:40,280 Speaker 3: for those kind of open wounds. 1098 01:01:40,800 --> 01:01:44,040 Speaker 5: So yeah, those are wounds. So it's a little bit different. 1099 01:01:44,080 --> 01:01:51,600 Speaker 5: I'm not face flies horn flies, but so that's different. Okay, 1100 01:01:52,440 --> 01:01:54,320 Speaker 5: what I'm the other thing, And I asked you about 1101 01:01:54,360 --> 01:01:58,200 Speaker 5: this before being uh, it's been a weird question. But 1102 01:02:00,480 --> 01:02:03,080 Speaker 5: I was a Catholic boy, you know, and and when when. 1103 01:02:04,160 --> 01:02:06,360 Speaker 1: You should want to talk about this here, Doug, let's 1104 01:02:06,360 --> 01:02:06,800 Speaker 1: just talk. 1105 01:02:06,680 --> 01:02:09,720 Speaker 2: About this quickly. And I remember the nuns saying there 1106 01:02:09,840 --> 01:02:10,480 Speaker 2: was a purpose for. 1107 01:02:10,520 --> 01:02:13,400 Speaker 1: Everything, right, Like, oh, okay, I thought were Yeah. 1108 01:02:15,200 --> 01:02:17,640 Speaker 5: And so the purpose of and you can and I've 1109 01:02:17,680 --> 01:02:19,560 Speaker 5: always I thought about that. There's a lot of things 1110 01:02:19,600 --> 01:02:21,800 Speaker 5: that you know, it didn't make sense to me then, 1111 01:02:21,840 --> 01:02:23,560 Speaker 5: but that always made sense to me, Like there's a 1112 01:02:23,680 --> 01:02:27,880 Speaker 5: purpose for everything. Mosquitoes have a purpose, flies have a purpose, 1113 01:02:29,280 --> 01:02:33,080 Speaker 5: you know, Maggot's decomposed, decomposition, all of those sort of things. 1114 01:02:34,520 --> 01:02:38,840 Speaker 1: This is a very human centric perspective, right. 1115 01:02:38,800 --> 01:02:42,920 Speaker 5: But but what's the purpose? I mean, isn't it like 1116 01:02:43,000 --> 01:02:46,800 Speaker 5: an evolution? There isn't there what's the purpose of this? 1117 01:02:47,240 --> 01:02:49,640 Speaker 3: Yeah, So that's the thing that's It's funny, and you 1118 01:02:50,400 --> 01:02:53,360 Speaker 3: posed this before, and it's you know, kind of most 1119 01:02:53,400 --> 01:02:55,040 Speaker 3: of the time if you ask an entomologist or you 1120 01:02:55,040 --> 01:02:56,800 Speaker 3: ask someone, it's like, oh, you know, should we just 1121 01:02:56,800 --> 01:02:59,200 Speaker 3: get rid of all the mosquitos? They'll talk about ecosystem services, 1122 01:02:59,320 --> 01:03:01,280 Speaker 3: bats and whatever else that is he did, right. 1123 01:03:01,320 --> 01:03:03,960 Speaker 1: Well, what won't be the cost of getting rid of mosquito? Exactly? 1124 01:03:04,080 --> 01:03:04,240 Speaker 4: Yeah? 1125 01:03:04,280 --> 01:03:06,240 Speaker 3: And and and someone can you can steal man in 1126 01:03:06,400 --> 01:03:10,360 Speaker 3: argument kind of again this this USCA researcher John Welch 1127 01:03:10,440 --> 01:03:14,120 Speaker 3: had he who has worked on this. He's like, my 1128 01:03:14,240 --> 01:03:16,200 Speaker 3: goal is to get rid of them. He's like, I 1129 01:03:16,320 --> 01:03:19,800 Speaker 3: don't see any purpose for them. He must God, yeah, yeah, 1130 01:03:19,960 --> 01:03:20,320 Speaker 3: very much. 1131 01:03:20,360 --> 01:03:20,400 Speaker 4: So. 1132 01:03:20,840 --> 01:03:23,960 Speaker 3: Uh And but he's he's worked his entire career. 1133 01:03:24,080 --> 01:03:24,240 Speaker 4: You know. 1134 01:03:24,320 --> 01:03:28,600 Speaker 3: I remember seeing him talk after the key deer kind 1135 01:03:28,640 --> 01:03:30,440 Speaker 3: of thing in the Florida Keys, and he was at 1136 01:03:30,440 --> 01:03:33,200 Speaker 3: a conference and he broke down crying at how like 1137 01:03:33,680 --> 01:03:36,000 Speaker 3: horrible it was just seeing these animals that, you know, 1138 01:03:36,040 --> 01:03:38,320 Speaker 3: they're collecting up, animals that are staggering around that they're 1139 01:03:38,360 --> 01:03:41,440 Speaker 3: having to euthanize. And and again he's like, he's like, 1140 01:03:42,000 --> 01:03:44,280 Speaker 3: my goal is if I could, I would get rid 1141 01:03:44,280 --> 01:03:44,520 Speaker 3: of them. 1142 01:03:44,600 --> 01:03:48,000 Speaker 1: So history, I mean just yeah, history has not been 1143 01:03:48,200 --> 01:03:51,840 Speaker 1: kind to that sentiment. Correct, Yeah, but I want to 1144 01:03:51,880 --> 01:03:54,880 Speaker 1: top So the key dere deal, we kind of we 1145 01:03:54,920 --> 01:03:58,200 Speaker 1: didn't finish the story. Yeah, there's still there's not right now. 1146 01:03:58,480 --> 01:04:01,880 Speaker 1: A whole bunch of key deer killed by screwworms. Correct. Yeah, 1147 01:04:01,920 --> 01:04:02,400 Speaker 1: what happened? 1148 01:04:02,640 --> 01:04:07,640 Speaker 3: Yeah, so back in the nineteen thirties. Oh we're just 1149 01:04:07,680 --> 01:04:11,800 Speaker 3: in twenty sixty, yes, correct, correct. But what essentially happened, 1150 01:04:11,840 --> 01:04:13,640 Speaker 3: and this goes back to the thirties and the forties 1151 01:04:13,680 --> 01:04:16,360 Speaker 3: and the fifties, how we eradicated it originally is that 1152 01:04:16,440 --> 01:04:18,720 Speaker 3: these two USDA scientists came up with this idea called 1153 01:04:18,760 --> 01:04:21,640 Speaker 3: steril insect technique, and pretty much it takes advantage of 1154 01:04:21,880 --> 01:04:24,760 Speaker 3: the screwworm's biology. So what they figured out was that 1155 01:04:24,960 --> 01:04:28,680 Speaker 3: female flies only mate once, and so if you can 1156 01:04:28,760 --> 01:04:31,520 Speaker 3: produce a bunch of male flies and you can throw 1157 01:04:31,600 --> 01:04:33,640 Speaker 3: them out in the environment, they'll meet up with a 1158 01:04:33,680 --> 01:04:37,240 Speaker 3: female mate with her and since she only mates once 1159 01:04:37,400 --> 01:04:39,520 Speaker 3: and she got the signal that she made it, she's 1160 01:04:39,560 --> 01:04:43,240 Speaker 3: not ever going to produce viable offspring. And so what 1161 01:04:43,680 --> 01:04:46,800 Speaker 3: they essentially did in twenty sixteen is they went in 1162 01:04:47,000 --> 01:04:51,440 Speaker 3: and they did a bunch of sterile releases of flies, 1163 01:04:51,600 --> 01:04:54,400 Speaker 3: and they knock the population out and they completely eradicated 1164 01:04:54,440 --> 01:04:59,560 Speaker 3: screwroom from Florida keys using this steril and sterilizing cobal 1165 01:05:00,040 --> 01:05:03,720 Speaker 3: And it's essentially it's a radioactive cobalt that they're using, 1166 01:05:03,800 --> 01:05:06,680 Speaker 3: and they're irradiating flies. 1167 01:05:07,000 --> 01:05:07,120 Speaker 4: Uh. 1168 01:05:07,320 --> 01:05:10,160 Speaker 3: And some of it is like a process that I was, 1169 01:05:10,640 --> 01:05:12,200 Speaker 3: you know, we were we were kind of going through 1170 01:05:12,240 --> 01:05:15,000 Speaker 3: this thing. But yeah, so they're producing down in Panama 1171 01:05:15,080 --> 01:05:18,080 Speaker 3: currently about one hundred and ten million flies a week, yeah, 1172 01:05:18,280 --> 01:05:20,800 Speaker 3: radiating them, yeah, yeah, And so they're irradiating them to 1173 01:05:21,000 --> 01:05:25,720 Speaker 3: the UH. And again they're using a radioactive isotope uh 1174 01:05:26,160 --> 01:05:28,880 Speaker 3: and people are currently them just enough to kind of 1175 01:05:29,000 --> 01:05:31,600 Speaker 3: kill as nuts. Yeah, yeah, exactly, and and so that's 1176 01:05:31,720 --> 01:05:34,680 Speaker 3: that's what they're doing. And again, these two scientists, first 1177 01:05:34,800 --> 01:05:37,760 Speaker 3: we were playing around trying to figure out like how 1178 01:05:37,800 --> 01:05:39,520 Speaker 3: they could do it what they were doing. There was 1179 01:05:39,720 --> 01:05:41,720 Speaker 3: some previous work that had shown that you could do 1180 01:05:41,800 --> 01:05:44,920 Speaker 3: this in a in another fly species that they are like, hey, 1181 01:05:44,960 --> 01:05:47,720 Speaker 3: can we try it with screwer And they were able 1182 01:05:47,760 --> 01:05:49,320 Speaker 3: to figure out, you know, it is it's kind of 1183 01:05:49,360 --> 01:05:53,760 Speaker 3: like that fine line between uh, sterile flies and non steriflies. 1184 01:05:53,800 --> 01:05:58,439 Speaker 3: And over time they actually had they've had mistakes where 1185 01:05:58,480 --> 01:06:02,960 Speaker 3: they didn't sterilize the flies appropriately. That happened down in Mexico. 1186 01:06:04,240 --> 01:06:04,560 Speaker 1: Correct. 1187 01:06:04,600 --> 01:06:09,720 Speaker 3: Yeah, and so currently we only have this one sterile 1188 01:06:09,800 --> 01:06:14,200 Speaker 3: fly facility. There was one in Mexico when we were 1189 01:06:14,200 --> 01:06:17,520 Speaker 3: trying to eradicate it that they've now taken offline that 1190 01:06:17,720 --> 01:06:21,400 Speaker 3: was producing five hundred million flies a week and so yeah, 1191 01:06:21,520 --> 01:06:24,160 Speaker 3: and so and again we're just flooding the environment with 1192 01:06:24,360 --> 01:06:28,080 Speaker 3: these flies any to essentially be like, hey, we want 1193 01:06:28,160 --> 01:06:31,760 Speaker 3: to find any female fly and so they can mate 1194 01:06:31,800 --> 01:06:32,720 Speaker 3: and then we wipe them out. 1195 01:06:32,760 --> 01:06:33,000 Speaker 2: That way. 1196 01:06:33,000 --> 01:06:36,040 Speaker 3: It's a brilliant technique. It's just kind of like over 1197 01:06:36,160 --> 01:06:40,080 Speaker 3: time with everything, right, it's this evolutionary adaptation of you know, 1198 01:06:40,160 --> 01:06:43,440 Speaker 3: over time, we've had our sterile flies that don't compete, 1199 01:06:44,200 --> 01:06:46,040 Speaker 3: and so then they've had to change the strain that 1200 01:06:46,080 --> 01:06:49,120 Speaker 3: they've used. So they've gone and essentially collected new flies 1201 01:06:49,240 --> 01:06:52,040 Speaker 3: colonize them. It's this whole kind of like fascinating process 1202 01:06:52,160 --> 01:06:55,360 Speaker 3: that they're doing. But that's kind of been the game plan, 1203 01:06:55,560 --> 01:06:56,560 Speaker 3: and so that's what they did. 1204 01:06:56,680 --> 01:06:59,680 Speaker 1: Back into area where there's a blow up yep and 1205 01:07:01,080 --> 01:07:06,680 Speaker 1: millions of sterile flies. U. 1206 01:07:06,920 --> 01:07:09,280 Speaker 6: Okay, we got what looks to be my dog on 1207 01:07:09,400 --> 01:07:15,760 Speaker 6: the right. Yeah, well I got ask I'll tell you, yeah, 1208 01:07:17,280 --> 01:07:17,640 Speaker 6: we got. 1209 01:07:19,360 --> 01:07:21,240 Speaker 1: Well, no, I got a question. I got not not 1210 01:07:21,320 --> 01:07:24,080 Speaker 1: a question, but their day. You're the perfect audience for this. 1211 01:07:24,360 --> 01:07:26,280 Speaker 1: You guys both are the perfect audience for this. 1212 01:07:27,120 --> 01:07:27,360 Speaker 2: They are. 1213 01:07:27,400 --> 01:07:30,600 Speaker 1: Now I'm talking about Buddy Kevin Murphy. He's talking about 1214 01:07:30,600 --> 01:07:33,680 Speaker 1: when he's a kid working on a working on a farm, 1215 01:07:35,800 --> 01:07:38,360 Speaker 1: and I said, what was your like, what were your 1216 01:07:38,360 --> 01:07:40,240 Speaker 1: Responsibilities's talking about working on the farm and he's a 1217 01:07:40,240 --> 01:07:44,000 Speaker 1: little kid, and he was talking about one of the 1218 01:07:44,080 --> 01:07:45,600 Speaker 1: things they would do is he would work on the 1219 01:07:46,320 --> 01:07:51,080 Speaker 1: They were experimenting with artificial insemination. They had a bull. 1220 01:07:52,560 --> 01:07:55,680 Speaker 1: There's nothing to do with worring fly. If you ever 1221 01:07:55,760 --> 01:07:58,680 Speaker 1: heard this or not, this might be common practice. They 1222 01:07:58,720 --> 01:08:08,200 Speaker 1: had a bull. They re routed this bullspecker. You follow me, 1223 01:08:09,320 --> 01:08:15,760 Speaker 1: So it was going off backward. Re routed his pecker surgically, 1224 01:08:16,000 --> 01:08:19,320 Speaker 1: had a vet come in flipped. They took out. There's 1225 01:08:19,400 --> 01:08:23,000 Speaker 1: like a they took out. They took out like the packer. 1226 01:08:23,240 --> 01:08:26,920 Speaker 1: It's not a it's not a vaculum, but like the 1227 01:08:27,120 --> 01:08:30,599 Speaker 1: rigid structure. Took it up, removed it to the point 1228 01:08:30,600 --> 01:08:33,439 Speaker 1: where a guy was able to keep it, removed it 1229 01:08:33,560 --> 01:08:38,920 Speaker 1: and re routed it. Then they would hang a giant 1230 01:08:39,160 --> 01:08:45,200 Speaker 1: imagine a necklace that's like a ballpoint pen hanging on 1231 01:08:45,320 --> 01:08:50,599 Speaker 1: his neck. Why but ink blotder hanging on his neck. 1232 01:08:51,520 --> 01:08:55,240 Speaker 1: You turn him out with the cows. He can tell 1233 01:08:55,560 --> 01:08:59,360 Speaker 1: when a cow is and heat. Oh yeah, he jumps 1234 01:08:59,439 --> 01:09:04,519 Speaker 1: up there, but he's been rerouted, so doesn't do anybody 1235 01:09:04,520 --> 01:09:05,720 Speaker 1: any good, does him? 1236 01:09:05,760 --> 01:09:05,960 Speaker 2: Give it? 1237 01:09:06,000 --> 01:09:08,840 Speaker 1: Not the cow any good. But when he jumps up there, 1238 01:09:08,920 --> 01:09:14,559 Speaker 1: he ink blots her with his ink blotter. Then all 1239 01:09:14,640 --> 01:09:16,960 Speaker 1: the kids gotta do is he looks out and there's 1240 01:09:17,000 --> 01:09:19,600 Speaker 1: no a coyle of the ink blot on her. She 1241 01:09:19,760 --> 01:09:20,639 Speaker 1: must be ripe. 1242 01:09:23,120 --> 01:09:23,160 Speaker 4: A. 1243 01:09:25,000 --> 01:09:26,280 Speaker 1: Have you ever heard of that? 1244 01:09:27,040 --> 01:09:27,439 Speaker 2: I had not. 1245 01:09:27,600 --> 01:09:29,320 Speaker 5: I was thinking, well, this must be a new way 1246 01:09:29,400 --> 01:09:34,719 Speaker 5: of gathering. But makes nothing but sense if you're doing AI. 1247 01:09:35,320 --> 01:09:38,120 Speaker 5: I mean, old way is just let that bull out there. 1248 01:09:39,160 --> 01:09:40,960 Speaker 2: That's the that's the old way. 1249 01:09:43,960 --> 01:09:45,080 Speaker 1: So neither you guys ever heard of that? 1250 01:09:45,479 --> 01:09:45,519 Speaker 4: No? 1251 01:09:45,920 --> 01:09:50,080 Speaker 1: No, that's very interesting, man, very interesting. You can make 1252 01:09:50,160 --> 01:09:52,680 Speaker 1: like a a movie about that. 1253 01:09:53,840 --> 01:09:55,880 Speaker 5: Yeah, we just stand and watch the colics and go, oh, 1254 01:09:56,000 --> 01:09:58,439 Speaker 5: she's ready, you know, I mean that was a daily, 1255 01:09:58,920 --> 01:09:59,400 Speaker 5: daily thing. 1256 01:09:59,479 --> 01:10:03,439 Speaker 1: I thought that was really something. So you releasing all 1257 01:10:03,439 --> 01:10:07,720 Speaker 1: these flies? Yeah, millions? Now about this the process here 1258 01:10:07,840 --> 01:10:11,400 Speaker 1: of putting the sterills out? Can you give me an estimate? 1259 01:10:11,640 --> 01:10:15,280 Speaker 1: And maybe you can't take the key to your situation? Yeah, 1260 01:10:15,360 --> 01:10:17,519 Speaker 1: so you're on big Poney or whatever, one of those keys, 1261 01:10:17,800 --> 01:10:22,800 Speaker 1: one of those keys. This is probably impossible say like, 1262 01:10:23,360 --> 01:10:29,360 Speaker 1: how many to be effective? Do you need to put 1263 01:10:29,520 --> 01:10:32,479 Speaker 1: so many flies out that the majority of the flies 1264 01:10:32,600 --> 01:10:37,519 Speaker 1: on the landscape are your doctored flies? Or will a 1265 01:10:37,680 --> 01:10:40,280 Speaker 1: percent ultimately do it? 1266 01:10:40,560 --> 01:10:40,760 Speaker 2: Yeah? 1267 01:10:40,840 --> 01:10:44,040 Speaker 3: So I couldn't tell you what that number is actually 1268 01:10:44,080 --> 01:10:46,559 Speaker 3: going to be. One thing that's actually interesting about them 1269 01:10:46,760 --> 01:10:50,400 Speaker 3: is that they the flies exist in kind of a 1270 01:10:50,479 --> 01:10:54,920 Speaker 3: relatively low adult number, like two to three hundred per 1271 01:10:55,000 --> 01:10:58,400 Speaker 3: square mile type of a thing. Really, yeah, yeah, and 1272 01:10:58,479 --> 01:11:00,360 Speaker 3: so it's one of the actually I just I just 1273 01:11:00,479 --> 01:11:03,400 Speaker 3: learned this when I was in a Yeah. Yeah, and 1274 01:11:03,760 --> 01:11:06,760 Speaker 3: so it was something that I recently learned when we 1275 01:11:06,840 --> 01:11:10,160 Speaker 3: were when we were doing a workshop. And and so 1276 01:11:10,280 --> 01:11:13,320 Speaker 3: again you're just you're just hammering that environment, and so yeah, 1277 01:11:13,400 --> 01:11:16,320 Speaker 3: maybe maybe there is I wouldn't even want to estimate 1278 01:11:16,320 --> 01:11:19,080 Speaker 3: how many adult flies are in that environment. And again 1279 01:11:20,439 --> 01:11:24,320 Speaker 3: you're just let's just just dump as many as we can. 1280 01:11:24,439 --> 01:11:29,160 Speaker 1: So the theoretically be that on a property on an island, 1281 01:11:29,320 --> 01:11:34,320 Speaker 1: on a whatever, that there could be just like as 1282 01:11:34,400 --> 01:11:37,519 Speaker 1: low as like some number of hundreds of males. Yeah, 1283 01:11:37,720 --> 01:11:39,200 Speaker 1: but you could go there and be like, I'm gonna 1284 01:11:39,200 --> 01:11:40,519 Speaker 1: put thousands. 1285 01:11:40,320 --> 01:11:42,120 Speaker 3: Yeah yeah, and that would be the kind of the 1286 01:11:42,160 --> 01:11:45,240 Speaker 3: idea get overwhelmed their proof of concept with any of this. 1287 01:11:45,360 --> 01:11:47,600 Speaker 3: They actually when they were testing all of this, they 1288 01:11:47,640 --> 01:11:49,840 Speaker 3: did it on the island of curse Ow to wipe 1289 01:11:49,880 --> 01:11:52,120 Speaker 3: out the screwer and problems that were. 1290 01:11:52,000 --> 01:11:55,000 Speaker 1: There, and so they actually start taking the director. Yeah, 1291 01:11:55,200 --> 01:11:56,080 Speaker 1: it's I. 1292 01:11:56,280 --> 01:11:59,679 Speaker 3: Actually I couldn't tell you exactly where it is okay. 1293 01:12:00,520 --> 01:12:04,200 Speaker 3: And again they were using this as kind of this okay, 1294 01:12:04,320 --> 01:12:06,600 Speaker 3: well flies aren't moving in, so we can see what 1295 01:12:06,720 --> 01:12:08,559 Speaker 3: we can do kind of in this situation. 1296 01:12:08,960 --> 01:12:11,439 Speaker 1: Oh yeah, yeah, yeah, you're not worried about new ones coming. 1297 01:12:11,880 --> 01:12:12,040 Speaker 2: Yeah. 1298 01:12:12,080 --> 01:12:12,600 Speaker 4: And so. 1299 01:12:14,160 --> 01:12:18,639 Speaker 3: With this situation again, like in the Florida keys situation, 1300 01:12:18,760 --> 01:12:21,160 Speaker 3: I was just looking, they dumped one hundred and one 1301 01:12:21,280 --> 01:12:25,639 Speaker 3: hundred and eighty eight million flies and and so yeah, 1302 01:12:25,640 --> 01:12:30,240 Speaker 3: it's over about a one month or a couple month period, 1303 01:12:31,080 --> 01:12:33,599 Speaker 3: and yeah, they're just hammering that environment is gone. 1304 01:12:33,760 --> 01:12:35,360 Speaker 1: Yeah, but dudes that are living there have to be 1305 01:12:35,479 --> 01:12:38,560 Speaker 1: walking out and it's got to be like seems like 1306 01:12:38,640 --> 01:12:39,639 Speaker 1: there's flies everywhere. 1307 01:12:39,760 --> 01:12:43,920 Speaker 3: Yeah, you know. That's something that I've I've asked some 1308 01:12:44,000 --> 01:12:46,120 Speaker 3: people about is kind of like, well, if if we 1309 01:12:46,200 --> 01:12:50,200 Speaker 3: get screwer them in the US, are people going to 1310 01:12:50,240 --> 01:12:52,800 Speaker 3: be okay with this idea just because it because they 1311 01:12:52,840 --> 01:12:54,360 Speaker 3: kind of will do two different things. And it's kind 1312 01:12:54,360 --> 01:12:57,360 Speaker 3: of an interesting situation when we think about public's perception 1313 01:12:57,520 --> 01:13:01,320 Speaker 3: of science in general, right, it's kind of changed over time. 1314 01:13:01,880 --> 01:13:04,040 Speaker 3: The way that they release these either is with ground 1315 01:13:04,080 --> 01:13:07,519 Speaker 3: release chambers, where they essentially they're boxes that are full 1316 01:13:07,600 --> 01:13:11,400 Speaker 3: of these pupie or they drop them from airplanes, and 1317 01:13:11,560 --> 01:13:13,760 Speaker 3: so they release them out of airplanes, out of the 1318 01:13:13,800 --> 01:13:17,680 Speaker 3: back of airdults. Yeah, the adults and so and then 1319 01:13:17,680 --> 01:13:19,000 Speaker 3: they'll fall to the ground. 1320 01:13:19,680 --> 01:13:21,080 Speaker 1: And so new kind of cam trails. 1321 01:13:21,160 --> 01:13:21,360 Speaker 2: Yeah. 1322 01:13:21,560 --> 01:13:23,200 Speaker 3: Well, and and you know, it's just they do that 1323 01:13:23,280 --> 01:13:26,000 Speaker 3: in California for Mediterranean fruit fly. You know, they're releasing 1324 01:13:26,439 --> 01:13:30,120 Speaker 3: you know, multiple hundred million flies a week in California 1325 01:13:30,240 --> 01:13:33,320 Speaker 3: to control Mediterranean fruit fly. So it's it's something that's done. 1326 01:13:33,439 --> 01:13:35,519 Speaker 3: It's just not something that a lot of people know about. 1327 01:13:35,600 --> 01:13:38,960 Speaker 3: And so and also something that's really small versus you know, uh, 1328 01:13:39,400 --> 01:13:42,639 Speaker 3: you know, here's here's an adult fly. It's your standard 1329 01:13:42,760 --> 01:13:45,080 Speaker 3: kind of blowfly size. 1330 01:13:45,160 --> 01:13:48,040 Speaker 2: So it's the same technique with the fruit flies. 1331 01:13:48,120 --> 01:13:52,839 Speaker 5: Yes, yeah, exactly, you're sterile flies, stale, stale, stable. 1332 01:13:54,040 --> 01:13:57,599 Speaker 1: If I saw that dude hanging around, no, I think 1333 01:13:57,600 --> 01:13:59,680 Speaker 1: I would recognize him as not being a normal one. 1334 01:14:00,160 --> 01:14:03,880 Speaker 3: So and again electric blue, yeah, and so those are 1335 01:14:04,080 --> 01:14:06,240 Speaker 3: One thing that's interesting is that they actually will change 1336 01:14:06,280 --> 01:14:08,720 Speaker 3: color depending on what they feed on, which is kind 1337 01:14:08,760 --> 01:14:12,240 Speaker 3: of a really strange thing. We have in the US though, 1338 01:14:12,600 --> 01:14:18,360 Speaker 3: a very closely related fly that looks nearly identical and 1339 01:14:18,479 --> 01:14:20,560 Speaker 3: so it's kind of a challenge when it when it 1340 01:14:20,640 --> 01:14:22,800 Speaker 3: comes down to it of differentiating them. You can do it, 1341 01:14:23,120 --> 01:14:25,600 Speaker 3: not that difficult if you look at it underneath the microscope. 1342 01:14:25,920 --> 01:14:29,160 Speaker 3: But you know, we have this secondary screw worm that 1343 01:14:29,520 --> 01:14:32,200 Speaker 3: is common. It doesn't feed on living flesh, it doesn't 1344 01:14:32,240 --> 01:14:35,000 Speaker 3: do anything like that, and so we end up kind 1345 01:14:35,040 --> 01:14:38,880 Speaker 3: of that's one of the problems that you end up 1346 01:14:38,920 --> 01:14:42,400 Speaker 3: running into is identifying them and putting out traps to 1347 01:14:42,479 --> 01:14:46,519 Speaker 3: try and monitor for them. Is the attract that the 1348 01:14:46,680 --> 01:14:50,479 Speaker 3: USDA has essentially developed also attracts all the blowflies because 1349 01:14:50,479 --> 01:14:52,679 Speaker 3: it's essentially just a combination of a bunch of chemicals 1350 01:14:52,760 --> 01:14:56,400 Speaker 3: that then mimic rotting flesh essentially. 1351 01:14:57,640 --> 01:15:01,120 Speaker 1: So no, when you go in like let's say you 1352 01:15:01,160 --> 01:15:08,559 Speaker 1: go into a community agricultural community, Yeah, and you're like, hey, 1353 01:15:08,600 --> 01:15:10,719 Speaker 1: y'all got a you know, there's a there's a screw 1354 01:15:10,760 --> 01:15:14,679 Speaker 1: worm outbreak and we're gonna we're gonna dump two hundred 1355 01:15:14,760 --> 01:15:21,400 Speaker 1: million sterile flies. Yeah. How many days is it until 1356 01:15:21,600 --> 01:15:23,479 Speaker 1: all those sterile flies are gone? 1357 01:15:24,120 --> 01:15:28,680 Speaker 3: Yeah? I couldn't put a number uh on it. 1358 01:15:28,800 --> 01:15:29,000 Speaker 1: There. 1359 01:15:29,160 --> 01:15:34,840 Speaker 3: There is specific kind of criteria of when you can 1360 01:15:35,240 --> 01:15:39,320 Speaker 3: call an area eradicated that they do so for an 1361 01:15:39,400 --> 01:15:44,639 Speaker 3: area to be you know, free of now those bugs live, 1362 01:15:45,840 --> 01:15:49,040 Speaker 3: so an adult fly in the environment will live a 1363 01:15:49,120 --> 01:15:53,400 Speaker 3: few weeks and and so and again it'll just continually 1364 01:15:53,479 --> 01:15:56,160 Speaker 3: propagate and so what and that's part of the reason. 1365 01:15:56,240 --> 01:15:58,400 Speaker 3: But they can't because there's sterile you know, correct and so, 1366 01:15:58,560 --> 01:16:00,720 Speaker 3: and that's what you are looking looking for. But there's 1367 01:16:00,720 --> 01:16:03,120 Speaker 3: going to be some individuals that made it with a 1368 01:16:03,920 --> 01:16:07,439 Speaker 3: you know, a non sterile fly. And so that's why 1369 01:16:07,520 --> 01:16:10,479 Speaker 3: you kind of have to do these releases over and over. 1370 01:16:11,200 --> 01:16:13,720 Speaker 3: And while you're doing that, you're monitoring and looking for 1371 01:16:15,040 --> 01:16:17,479 Speaker 3: if the flies you are collecting if they're sterile or 1372 01:16:17,479 --> 01:16:20,600 Speaker 3: if they're not sterile. And so that's that's part of 1373 01:16:20,640 --> 01:16:22,519 Speaker 3: the process as well. And so it's kind of a 1374 01:16:22,680 --> 01:16:25,479 Speaker 3: continued release over time. It's not just like, you know, 1375 01:16:25,600 --> 01:16:27,600 Speaker 3: let's just drop all these flies this one time. You 1376 01:16:27,680 --> 01:16:29,280 Speaker 3: want to continue to do it because you're going to 1377 01:16:30,000 --> 01:16:32,040 Speaker 3: in essence miss some of them at some point. 1378 01:16:32,360 --> 01:16:36,040 Speaker 1: At some points, why is there and I know that 1379 01:16:36,520 --> 01:16:40,800 Speaker 1: you know, the press will kind of they're like, I mean, 1380 01:16:40,800 --> 01:16:43,519 Speaker 1: it's a native way, but people will look and there's 1381 01:16:43,560 --> 01:16:47,840 Speaker 1: a sensational quality to it. Okay, there's like flesh eating flies, right, 1382 01:16:47,920 --> 01:16:50,400 Speaker 1: there's a sensational quality to it. People are going to 1383 01:16:50,479 --> 01:16:54,960 Speaker 1: read it. But from talking to you, it seems like 1384 01:16:56,000 --> 01:16:59,840 Speaker 1: it's almost a non problem if it's so easily remedy, Like, 1385 01:17:00,120 --> 01:17:02,840 Speaker 1: is there a scenario in which you could get like 1386 01:17:03,040 --> 01:17:04,800 Speaker 1: do you? Is there a scenario in which you could 1387 01:17:04,840 --> 01:17:08,639 Speaker 1: go haywire to where you're not able to produce enough 1388 01:17:08,720 --> 01:17:09,240 Speaker 1: to catch it. 1389 01:17:09,560 --> 01:17:13,479 Speaker 3: So that's part of the problem, is that, Yeah, the 1390 01:17:13,800 --> 01:17:17,200 Speaker 3: USDA and kind of researchers in general have we've relied 1391 01:17:17,439 --> 01:17:21,280 Speaker 3: on steril insect technique and that's been the whole focus 1392 01:17:21,560 --> 01:17:24,160 Speaker 3: of everything like that. But we can't say that it's 1393 01:17:24,160 --> 01:17:28,160 Speaker 3: a non problem because currently US doing steril releases isn't 1394 01:17:28,200 --> 01:17:29,200 Speaker 3: controlling the problem. 1395 01:17:30,680 --> 01:17:33,000 Speaker 1: Where is it not controlling the problem in Mexico? 1396 01:17:33,120 --> 01:17:36,160 Speaker 3: That so, the thing is is that if steril releases 1397 01:17:36,240 --> 01:17:39,360 Speaker 3: were controlling the issue, initially, it never would have moved 1398 01:17:39,400 --> 01:17:41,799 Speaker 3: out of Panama, And so it moved out of Panama, 1399 01:17:41,840 --> 01:17:43,840 Speaker 3: and then since twenty twenty three it's been moving its 1400 01:17:43,880 --> 01:17:47,000 Speaker 3: way up through Mexico, and so we're doing stero releases 1401 01:17:47,080 --> 01:17:50,200 Speaker 3: in Mexico. And the big concern really when it comes 1402 01:17:50,240 --> 01:17:53,200 Speaker 3: down to it, and again it's not a concern as 1403 01:17:53,280 --> 01:17:55,720 Speaker 3: it is more of an infrastructure problem is that we 1404 01:17:55,840 --> 01:17:59,040 Speaker 3: have one facility that's producing flies, you know, the Kopek 1405 01:17:59,120 --> 01:18:02,120 Speaker 3: facility in Panama producing one hundred and ten million flies 1406 01:18:02,120 --> 01:18:05,960 Speaker 3: a week, but if it gets into the US, we're 1407 01:18:06,080 --> 01:18:08,920 Speaker 3: going to need five or six hundred million flies a week. 1408 01:18:09,360 --> 01:18:11,519 Speaker 3: And part of the problem is is that where we 1409 01:18:11,640 --> 01:18:13,320 Speaker 3: now have to you know, it's like when you build 1410 01:18:13,360 --> 01:18:16,720 Speaker 3: infrastructure for anything, is that we're at this point where, 1411 01:18:17,520 --> 01:18:19,719 Speaker 3: oh shit, if it gets here, this is a problem. 1412 01:18:20,000 --> 01:18:23,000 Speaker 3: But it's a two three year lag time to build 1413 01:18:23,040 --> 01:18:25,280 Speaker 3: a facility to be able to produce flies, because this 1414 01:18:25,400 --> 01:18:27,960 Speaker 3: isn't a oh hey, let's just bring in these flies. 1415 01:18:28,160 --> 01:18:31,400 Speaker 3: It has to be you have radiation. You you know, 1416 01:18:31,640 --> 01:18:35,440 Speaker 3: all of the security clearance and security kind of protocols 1417 01:18:35,479 --> 01:18:38,600 Speaker 3: and safety that go into you know, having you know, 1418 01:18:39,400 --> 01:18:45,040 Speaker 3: nuclear radioactive elements in an area to irradiate flies is something. 1419 01:18:45,479 --> 01:18:49,559 Speaker 3: And then it's also the idea of well, we're now 1420 01:18:49,640 --> 01:18:53,439 Speaker 3: bringing flies that aren't sterile into this environment. And one 1421 01:18:53,479 --> 01:18:57,640 Speaker 3: thing as a researcher that's very challenging is that the 1422 01:18:57,760 --> 01:19:00,400 Speaker 3: USDA has essentially said, hey, we're the one that are 1423 01:19:00,680 --> 01:19:04,240 Speaker 3: doing this, We're we're working on this problem. And so 1424 01:19:04,640 --> 01:19:07,360 Speaker 3: like no one in the US can bring flies to 1425 01:19:07,520 --> 01:19:09,960 Speaker 3: do actual research here in the US because they don't 1426 01:19:09,960 --> 01:19:13,120 Speaker 3: want it getting out. And so the USDA has kind 1427 01:19:13,160 --> 01:19:16,000 Speaker 3: of put this this block on that, and I totally 1428 01:19:16,040 --> 01:19:17,759 Speaker 3: understand they want to be able to control the situation. 1429 01:19:18,080 --> 01:19:19,960 Speaker 3: And it's been hey, you know, we have this thing 1430 01:19:20,000 --> 01:19:23,519 Speaker 3: that works, no one needs to worry about it. But 1431 01:19:23,800 --> 01:19:26,360 Speaker 3: now they're like, okay, let's do something. They just put 1432 01:19:26,400 --> 01:19:29,360 Speaker 3: out a call for you know, they dedicated one hundred 1433 01:19:29,360 --> 01:19:33,160 Speaker 3: million dollars to try to get researchers to apply to 1434 01:19:33,280 --> 01:19:36,400 Speaker 3: try to do something, if it's extension, if it's outreach, 1435 01:19:36,960 --> 01:19:40,240 Speaker 3: if it's actually doing monitoring for things like that. 1436 01:19:40,400 --> 01:19:43,280 Speaker 1: But it but the only tool right now, the only 1437 01:19:43,479 --> 01:19:46,560 Speaker 1: known tool to combat is the sterile. 1438 01:19:46,439 --> 01:19:50,000 Speaker 3: Correct and that's part of the concern is that that's 1439 01:19:50,080 --> 01:19:52,200 Speaker 3: not working and that's where we put all We put 1440 01:19:52,240 --> 01:19:54,599 Speaker 3: all our eggs in that one basket. And so now 1441 01:19:54,680 --> 01:19:57,040 Speaker 3: it's what do we do. And the other thing is 1442 01:19:57,080 --> 01:19:59,080 Speaker 3: is that back in the day, you know, I had 1443 01:19:59,080 --> 01:19:59,839 Speaker 3: a couple of students. 1444 01:20:00,280 --> 01:20:00,840 Speaker 1: I talked to them. 1445 01:20:01,080 --> 01:20:03,400 Speaker 3: They come from beef cattle background in New Mexico, and 1446 01:20:03,439 --> 01:20:05,439 Speaker 3: they're like, oh, yeah, my grandparents talked about you know, 1447 01:20:05,560 --> 01:20:07,800 Speaker 3: during calving season because that's another place that you'll see 1448 01:20:07,800 --> 01:20:11,040 Speaker 3: it as in the navel. And so during calving season 1449 01:20:11,280 --> 01:20:13,600 Speaker 3: they would go out, they would they described it to 1450 01:20:13,680 --> 01:20:15,760 Speaker 3: me as that purple stuff whatever it was of some 1451 01:20:16,360 --> 01:20:19,400 Speaker 3: you know, organic phosphate or something like that that they 1452 01:20:19,439 --> 01:20:21,880 Speaker 3: were applying, and it did great. The problem is that 1453 01:20:22,000 --> 01:20:24,080 Speaker 3: all of those products have because we haven't had to 1454 01:20:24,200 --> 01:20:27,240 Speaker 3: be a problem, they've all been taken off of EPA registry, 1455 01:20:27,439 --> 01:20:30,000 Speaker 3: they've been taken off of you know, FDA registry. So 1456 01:20:30,360 --> 01:20:33,599 Speaker 3: currently we have two products that are under emergency use 1457 01:20:33,680 --> 01:20:36,800 Speaker 3: that can be used in animals, and there is nothing 1458 01:20:36,880 --> 01:20:39,519 Speaker 3: else that's developed or licensed to even treat animals with. 1459 01:20:40,080 --> 01:20:43,479 Speaker 3: And so it's a it's kind of this multi pronged approach. 1460 01:20:43,840 --> 01:20:46,240 Speaker 3: And then from the insecticide side to try to control them. 1461 01:20:46,520 --> 01:20:48,719 Speaker 3: No one's worked with screw them. And so on a label, 1462 01:20:48,760 --> 01:20:50,639 Speaker 3: if it doesn't say that you can use it on screworm, 1463 01:20:50,760 --> 01:20:53,560 Speaker 3: you can't use it on screworm. And so you have 1464 01:20:53,760 --> 01:20:56,040 Speaker 3: to follow what the label says. So if it says 1465 01:20:56,080 --> 01:20:58,600 Speaker 3: it's for hornflies and face flies and stable flies and 1466 01:20:58,640 --> 01:21:04,400 Speaker 3: house flies, right, but if you end up using it 1467 01:21:04,600 --> 01:21:08,280 Speaker 3: for screwerm, well you're now breaking the law, and so it's. 1468 01:21:08,200 --> 01:21:10,560 Speaker 1: A why is that, Like I know that on chemical compounds, 1469 01:21:10,600 --> 01:21:12,720 Speaker 1: when you get a patent on a chemical compound, you're 1470 01:21:12,760 --> 01:21:17,960 Speaker 1: actually patenting the application. Yeah, and with with some of that, Yeah, okay, 1471 01:21:18,120 --> 01:21:20,280 Speaker 1: so who says you can't use it for the e 1472 01:21:20,360 --> 01:21:23,160 Speaker 1: p A. So the e p A is so the UK, 1473 01:21:23,800 --> 01:21:25,759 Speaker 1: not the manufacturer patent holder. 1474 01:21:25,920 --> 01:21:29,400 Speaker 3: No, and so federal law correct, when they get that license, 1475 01:21:29,680 --> 01:21:32,799 Speaker 3: it will say on the label this is used for termite. 1476 01:21:32,840 --> 01:21:35,759 Speaker 1: So this is used for permitted exactly. 1477 01:21:35,840 --> 01:21:38,240 Speaker 3: And so that's the problem is that, you know, we 1478 01:21:38,360 --> 01:21:40,920 Speaker 3: have lots of products that are probably effective, but again 1479 01:21:41,120 --> 01:21:42,639 Speaker 3: none of us have been able to do the work. 1480 01:21:42,760 --> 01:21:46,640 Speaker 3: And there's you know, talking to my USCA colleagues, there's like, yeah, uh, 1481 01:21:47,200 --> 01:21:49,680 Speaker 3: there's a whole lot of work that we don't know, 1482 01:21:49,960 --> 01:21:52,479 Speaker 3: like even standard just like behavior stuff. You know a 1483 01:21:52,560 --> 01:21:55,000 Speaker 3: lot of my work that that I do is insect 1484 01:21:55,040 --> 01:21:58,080 Speaker 3: and animal behavior, and so it's you know, we don't 1485 01:21:58,120 --> 01:22:00,439 Speaker 3: necessarily know how they move, how they're in or acting 1486 01:22:00,560 --> 01:22:02,600 Speaker 3: like in because we kind of put all of our 1487 01:22:02,640 --> 01:22:04,760 Speaker 3: eggs in this one basket. And also when we did 1488 01:22:04,800 --> 01:22:06,400 Speaker 3: all this work, we did it all in South America, 1489 01:22:06,720 --> 01:22:10,160 Speaker 3: and so it. We have a very different climate, you know, 1490 01:22:10,280 --> 01:22:13,840 Speaker 3: in New Mexico, in southern New Mexico, in the tip 1491 01:22:13,880 --> 01:22:17,559 Speaker 3: of Texas is as reservoirs, where you know, screwroom would 1492 01:22:17,560 --> 01:22:20,360 Speaker 3: continually develop because it doesn't get cold enough during that 1493 01:22:20,400 --> 01:22:23,320 Speaker 3: period of time. The rest of the US, you know, luckily, 1494 01:22:23,439 --> 01:22:26,240 Speaker 3: like here in Montana, if screwroom showed up, it might 1495 01:22:26,240 --> 01:22:27,960 Speaker 3: be an issue during the summer, but it's going to 1496 01:22:28,040 --> 01:22:30,040 Speaker 3: die out in the Yeah, it'll kill them in the winter. 1497 01:22:30,320 --> 01:22:32,560 Speaker 3: But that's the big problem with those southern states and 1498 01:22:32,760 --> 01:22:36,120 Speaker 3: or you know, that's those southwestern states. And so there's 1499 01:22:36,200 --> 01:22:38,080 Speaker 3: a lot of these different things that we don't know 1500 01:22:38,439 --> 01:22:40,800 Speaker 3: that we're kind of like, all right, what do we 1501 01:22:40,880 --> 01:22:43,400 Speaker 3: do now? And so it's kind of rushing to figure out, 1502 01:22:43,520 --> 01:22:45,479 Speaker 3: like what can we do? What can we not do? 1503 01:22:45,840 --> 01:22:49,680 Speaker 3: And again we have to follow all of the you know, 1504 01:22:49,800 --> 01:22:52,400 Speaker 3: all of the laws that exist. And so if it's 1505 01:22:52,640 --> 01:22:54,720 Speaker 3: if it's cattle or if it's you know, a big 1506 01:22:54,800 --> 01:22:57,600 Speaker 3: concern is that it it's if it gets into wildlife, 1507 01:22:57,880 --> 01:22:59,679 Speaker 3: what do you do then just runs rampant? 1508 01:22:59,800 --> 01:23:04,840 Speaker 1: Right? Has anybody drawn a line? Well, I'll explain what 1509 01:23:04,880 --> 01:23:08,400 Speaker 1: I'm getting at through different thing. I had a body 1510 01:23:08,479 --> 01:23:11,519 Speaker 1: mine that worked on a project years ago. They were 1511 01:23:11,560 --> 01:23:14,960 Speaker 1: trying to draw a line at what could possibly be 1512 01:23:15,160 --> 01:23:19,080 Speaker 1: the northward spread of the Burmese python. And it would 1513 01:23:19,080 --> 01:23:21,439 Speaker 1: just be that you would put them in burrows, yeah, 1514 01:23:22,120 --> 01:23:24,920 Speaker 1: like and make enclosures, put them in burrows and then 1515 01:23:25,080 --> 01:23:26,320 Speaker 1: see if they car alled it out in the spring 1516 01:23:26,439 --> 01:23:27,960 Speaker 1: or not. Yeah, right, because that's the thing is like 1517 01:23:28,280 --> 01:23:30,559 Speaker 1: at a point it's too cold, they can't over winter. Yeah, 1518 01:23:32,120 --> 01:23:34,439 Speaker 1: what what would be the line along the UA? Yeah, 1519 01:23:34,880 --> 01:23:36,639 Speaker 1: and have you guys really refined Yeah? 1520 01:23:36,680 --> 01:23:38,640 Speaker 3: No, So so that's something that again, there a lot 1521 01:23:38,720 --> 01:23:43,960 Speaker 3: of it is. It's funny up until maybe honestly, probably 1522 01:23:43,960 --> 01:23:46,080 Speaker 3: the last year, there wasn't a whole lot of there's 1523 01:23:46,120 --> 01:23:48,479 Speaker 3: like all the historical old work that was done. It 1524 01:23:48,560 --> 01:23:50,200 Speaker 3: was really hard to find though. You know, even from 1525 01:23:50,240 --> 01:23:53,599 Speaker 3: a teaching perspective, if we're trying to talk about screwerm, 1526 01:23:53,640 --> 01:23:55,920 Speaker 3: I'm like trying to pull images and stuff like this, 1527 01:23:56,000 --> 01:23:57,759 Speaker 3: and it's you know, I'm scraping the bottom of the barrel. 1528 01:23:58,280 --> 01:23:59,959 Speaker 3: And so a lot of this stuff wasn't. 1529 01:23:59,760 --> 01:24:03,120 Speaker 1: Like old references or may not have exactly and. 1530 01:24:03,240 --> 01:24:04,519 Speaker 3: And some of that had to do with like the 1531 01:24:04,600 --> 01:24:07,240 Speaker 3: USA is like it's down in Panama, Like, we don't 1532 01:24:07,479 --> 01:24:09,760 Speaker 3: like the effort that we're going to put in to 1533 01:24:09,960 --> 01:24:13,400 Speaker 3: prepare all of this new material. It isn't an issue 1534 01:24:13,479 --> 01:24:15,560 Speaker 3: for us at this moment. So when it comes to 1535 01:24:16,040 --> 01:24:22,280 Speaker 3: uh kind of the expansion, like there there were cases 1536 01:24:22,360 --> 01:24:27,120 Speaker 3: that it potentially would get up to Canada and really though, 1537 01:24:27,240 --> 01:24:30,519 Speaker 3: you're going to see it kind of this centralized you know, 1538 01:24:30,720 --> 01:24:35,439 Speaker 3: up through up through Colorado. Uh Utah, Yeah, and so 1539 01:24:35,600 --> 01:24:38,360 Speaker 3: and so you will see it in those locations. Again, 1540 01:24:39,240 --> 01:24:44,080 Speaker 3: it our biggest concern now at this point is livestock 1541 01:24:44,160 --> 01:24:46,800 Speaker 3: movement because obviously we have animals that are that are 1542 01:24:46,880 --> 01:24:49,240 Speaker 3: moving and they get shipped from you know, let's say 1543 01:24:49,560 --> 01:24:52,040 Speaker 3: New Mexico and then they get shipped over to Colorado, 1544 01:24:52,080 --> 01:24:54,000 Speaker 3: or they get shipped in Montana or they you know, 1545 01:24:54,320 --> 01:24:56,920 Speaker 3: who knows, and then it's well, we imported a case 1546 01:24:56,960 --> 01:24:59,040 Speaker 3: and so then it exists in this area and so 1547 01:24:59,400 --> 01:25:02,559 Speaker 3: it may not stick around. But if you have an 1548 01:25:02,680 --> 01:25:05,760 Speaker 3: impact where you know there. I know that back in 1549 01:25:05,800 --> 01:25:10,240 Speaker 3: the thirties there was in one section of Texas, screwroom 1550 01:25:10,360 --> 01:25:14,360 Speaker 3: killed one hundred and eighty eight thousand cows in one year. 1551 01:25:14,600 --> 01:25:15,280 Speaker 1: Are you serious? 1552 01:25:15,400 --> 01:25:15,599 Speaker 2: Yeah? 1553 01:25:16,200 --> 01:25:17,680 Speaker 1: And what timeframe was that? 1554 01:25:17,760 --> 01:25:17,960 Speaker 6: Again? 1555 01:25:18,040 --> 01:25:20,200 Speaker 3: That was in nineteen thirty three and one year three, Yeah, 1556 01:25:20,360 --> 01:25:22,400 Speaker 3: and so when when we first started seeing it, and 1557 01:25:22,520 --> 01:25:26,559 Speaker 3: so yeah, and so it's a it is a big concern. 1558 01:25:26,960 --> 01:25:30,839 Speaker 3: And again it's it's that problem of stopping forward progress. 1559 01:25:30,920 --> 01:25:33,320 Speaker 3: And that's where you know, talking about this idea of 1560 01:25:33,960 --> 01:25:37,280 Speaker 3: is it a concern? It is a concern because at 1561 01:25:37,320 --> 01:25:40,920 Speaker 3: the moment we haven't been able to completely stop forward progress. 1562 01:25:41,000 --> 01:25:44,160 Speaker 3: And so it's you know, part of my whole thing 1563 01:25:44,240 --> 01:25:46,760 Speaker 3: here is to be able to communicate because it it 1564 01:25:47,200 --> 01:25:50,800 Speaker 3: isn't something of well, hopefully it doesn't ever come to 1565 01:25:50,840 --> 01:25:52,479 Speaker 3: the US and I don't have to deal with it, right, 1566 01:25:52,880 --> 01:25:55,120 Speaker 3: but if it does, we need a whole lot of 1567 01:25:55,160 --> 01:25:59,280 Speaker 3: people to be able to identify, oh, hey this looks weird. Hey, 1568 01:25:59,400 --> 01:26:03,080 Speaker 3: I can submit a sample to you know, to confirm 1569 01:26:03,160 --> 01:26:04,920 Speaker 3: that that's what it is, and then we can you know, 1570 01:26:05,400 --> 01:26:06,840 Speaker 3: you know, the USDA has kind of put out their 1571 01:26:06,920 --> 01:26:08,920 Speaker 3: their game plan on what they would do. It's like 1572 01:26:09,040 --> 01:26:13,000 Speaker 3: quarantine in an area, so that you restrict animal movement 1573 01:26:13,080 --> 01:26:13,600 Speaker 3: and things like that. 1574 01:26:13,720 --> 01:26:15,760 Speaker 1: For that the animals are going to be more likely 1575 01:26:16,760 --> 01:26:18,479 Speaker 1: the animals are gonna be more likely to move it 1576 01:26:18,560 --> 01:26:20,719 Speaker 1: long distances than the flies flying around. 1577 01:26:20,840 --> 01:26:23,280 Speaker 3: Correct, Yeah, so so the literature says that like, these 1578 01:26:23,320 --> 01:26:28,920 Speaker 3: flies can fly ten to fifteen miles. In practice, I 1579 01:26:29,000 --> 01:26:30,640 Speaker 3: will will say, you know, it's the one thing that 1580 01:26:31,160 --> 01:26:34,160 Speaker 3: science says and what happens practically, Like there's some studies 1581 01:26:34,200 --> 01:26:37,040 Speaker 3: that show that house flies will fly twenty kilometers and 1582 01:26:37,080 --> 01:26:39,840 Speaker 3: it's like one mark recapture study that someone did. It's like, no, 1583 01:26:39,960 --> 01:26:42,360 Speaker 3: they're going to fly you know, one hundred yards to 1584 01:26:42,479 --> 01:26:45,920 Speaker 3: your your neighbor's farm, you know. And so the movement 1585 01:26:46,200 --> 01:26:51,920 Speaker 3: doesn't exist. And again, like scroom has relatively narrow tolerances 1586 01:26:52,000 --> 01:26:54,120 Speaker 3: for temperature. One thing that's interesting about them is they 1587 01:26:54,120 --> 01:26:56,559 Speaker 3: won't fly over bodies of water. Oh really, yeah, they'll 1588 01:26:56,600 --> 01:26:59,120 Speaker 3: fly along it so like a riparian area. But if 1589 01:26:59,360 --> 01:27:03,599 Speaker 3: like the reason that we had we stopped the movement. 1590 01:27:04,680 --> 01:27:07,439 Speaker 3: Different again, so you know. 1591 01:27:07,439 --> 01:27:09,960 Speaker 1: I gotta tell you about just be interesting too, and 1592 01:27:10,040 --> 01:27:15,680 Speaker 1: it's kind of applicable man Like in and sort of 1593 01:27:15,720 --> 01:27:20,240 Speaker 1: the immediate post nine to eleven era, I was working 1594 01:27:20,280 --> 01:27:23,600 Speaker 1: on a magazine piece where I was at a a 1595 01:27:26,160 --> 01:27:29,640 Speaker 1: I was at like a convention, what they called it 1596 01:27:30,240 --> 01:27:35,519 Speaker 1: a stock detective convention that dealton livestock theft. And but 1597 01:27:35,680 --> 01:27:39,599 Speaker 1: it had this whole biosecurity element to it. They had 1598 01:27:39,760 --> 01:27:44,280 Speaker 1: found in Afghanistan when they're doing all their raids on 1599 01:27:44,400 --> 01:27:48,439 Speaker 1: al Qaeda areas, they had found where they were like 1600 01:27:48,640 --> 01:27:54,800 Speaker 1: swapping information about livestock diseases. Okay, like they were at 1601 01:27:54,880 --> 01:28:01,040 Speaker 1: least exploring the idea of a biohazard lives. So this 1602 01:28:01,200 --> 01:28:04,400 Speaker 1: guy was there and he presented and I sat in 1603 01:28:04,479 --> 01:28:08,840 Speaker 1: on the presentation, and they ran models of say a 1604 01:28:08,920 --> 01:28:12,240 Speaker 1: person went to a stockyard and I can't remember where 1605 01:28:12,280 --> 01:28:13,880 Speaker 1: his stockyard was. I mean it was somewhere in the 1606 01:28:14,040 --> 01:28:17,479 Speaker 1: central US, like Kansas or whatever. They're like, say a 1607 01:28:17,680 --> 01:28:21,200 Speaker 1: terrorist went to a stockyard and they ran a scenario 1608 01:28:21,280 --> 01:28:25,320 Speaker 1: where he swabbed the nose. He swabs a half dozen 1609 01:28:25,400 --> 01:28:30,120 Speaker 1: cows at a stockyard with an anthrax form, and they 1610 01:28:30,240 --> 01:28:35,320 Speaker 1: ran a model ye about its explosion, you know, and 1611 01:28:35,400 --> 01:28:39,639 Speaker 1: it was like alarming, right, like movement of animals. 1612 01:28:40,280 --> 01:28:40,439 Speaker 4: You know. 1613 01:28:42,120 --> 01:28:45,439 Speaker 1: That kind of makes me think of this where with 1614 01:28:45,560 --> 01:28:50,439 Speaker 1: the thing in the keys, Like do you ever have 1615 01:28:50,680 --> 01:28:53,360 Speaker 1: I don't want to give anybody ideas out there. I 1616 01:28:53,360 --> 01:28:55,960 Speaker 1: don't know how many dudes listened to the show, but like, 1617 01:28:56,960 --> 01:28:59,200 Speaker 1: has anybody ever brought this up that it could just 1618 01:28:59,280 --> 01:29:02,960 Speaker 1: be like a a like an economic weapon. 1619 01:29:03,240 --> 01:29:05,360 Speaker 3: Well, yeah, and and and that's something that we see 1620 01:29:05,520 --> 01:29:08,120 Speaker 3: with you know, it's a concern with any of these uh, 1621 01:29:09,000 --> 01:29:11,639 Speaker 3: either invasive species that we think of, you know, it's 1622 01:29:11,760 --> 01:29:15,240 Speaker 3: bioterrorism at that point. And and it is it's it's 1623 01:29:15,320 --> 01:29:18,760 Speaker 3: thinking about the movement of if it's screw them, if 1624 01:29:18,800 --> 01:29:22,920 Speaker 3: it's you know what a big thing is cattle fever tick, 1625 01:29:23,439 --> 01:29:26,160 Speaker 3: which is a huge deal, and so like if you 1626 01:29:26,280 --> 01:29:29,320 Speaker 3: were to move those into the US, that's going to 1627 01:29:29,760 --> 01:29:31,240 Speaker 3: you know, or or even bringing in. 1628 01:29:32,920 --> 01:29:33,080 Speaker 2: You know. 1629 01:29:33,880 --> 01:29:35,479 Speaker 3: A thing that I think is kind of relevant is 1630 01:29:35,560 --> 01:29:37,760 Speaker 3: you know, with blue tongue virus, which is transmitted by 1631 01:29:37,800 --> 01:29:41,080 Speaker 3: these these biding midges, you know when we have outbreaks. 1632 01:29:41,200 --> 01:29:43,679 Speaker 3: You know, currently there's some weird dynamics of blue tongue 1633 01:29:43,680 --> 01:29:47,280 Speaker 3: going on in Europe, Like you end up halting trade 1634 01:29:48,160 --> 01:29:50,960 Speaker 3: because of those things and the economic damage and kind 1635 01:29:51,000 --> 01:29:56,240 Speaker 3: of you know, the downstream consequences that exist are are present. 1636 01:29:56,360 --> 01:29:59,240 Speaker 3: And so it is something that is it is thought 1637 01:29:59,280 --> 01:30:02,720 Speaker 3: about what that really looks like. I don't know, you know, 1638 01:30:02,840 --> 01:30:05,439 Speaker 3: it's it's I'm not sitting in on those meetings of 1639 01:30:05,479 --> 01:30:08,680 Speaker 3: people strategizing people like it even plausible or not, But 1640 01:30:09,040 --> 01:30:11,479 Speaker 3: I think it would be plausible, right. I think that 1641 01:30:11,800 --> 01:30:14,840 Speaker 3: if you were to do that, it would just be 1642 01:30:14,920 --> 01:30:17,640 Speaker 3: a matter of Yeah, with something like that, you'd have 1643 01:30:17,720 --> 01:30:19,240 Speaker 3: to start a colony, and you'd have to do all 1644 01:30:19,240 --> 01:30:21,320 Speaker 3: this stuff to then get them to then bring them 1645 01:30:21,520 --> 01:30:23,400 Speaker 3: to the US. And what that would look like to 1646 01:30:23,479 --> 01:30:25,439 Speaker 3: by some level of expertise, yeah, exactly. 1647 01:30:25,560 --> 01:30:28,680 Speaker 1: You know, a while back, those a few weeks, few 1648 01:30:28,720 --> 01:30:32,360 Speaker 1: months ago, maybe the Trump administration floated the idea that 1649 01:30:32,680 --> 01:30:36,080 Speaker 1: like they're trying to you know, they like attacked egg prices, right, 1650 01:30:38,760 --> 01:30:42,519 Speaker 1: the Trump administration was like trying to like lower beef prices. 1651 01:30:42,560 --> 01:30:45,320 Speaker 1: And there's this conversation of and I don't even know 1652 01:30:45,439 --> 01:30:48,120 Speaker 1: the dog might know how this works, but there's a conversation, well, 1653 01:30:48,200 --> 01:30:52,200 Speaker 1: let's bring more beef from Argentina. Let's bring more beef 1654 01:30:52,200 --> 01:30:56,840 Speaker 1: from Mexico. Yeah, uh, this has planned all that, right. 1655 01:30:56,920 --> 01:31:01,080 Speaker 1: I mean, like you show up with a truckload, like 1656 01:31:01,200 --> 01:31:04,320 Speaker 1: you show up at the Douglas Arizona crossing, yep. And 1657 01:31:04,320 --> 01:31:05,600 Speaker 1: I don't know, I don't know how it works, but 1658 01:31:05,760 --> 01:31:07,679 Speaker 1: like presumably you show up with a truckload of cows, 1659 01:31:08,800 --> 01:31:14,759 Speaker 1: our guys customs or whatever, the veterinarian aspect of customs 1660 01:31:14,840 --> 01:31:17,080 Speaker 1: in that's got to be a real question, right, So 1661 01:31:17,360 --> 01:31:18,160 Speaker 1: where they come from? 1662 01:31:18,200 --> 01:31:20,479 Speaker 3: And yeah, so all the animal ports of entry are 1663 01:31:20,520 --> 01:31:23,599 Speaker 3: currently closed due to screworm with Mexico are Yeah. 1664 01:31:23,600 --> 01:31:25,920 Speaker 1: So that was kind of a non idea. Yes, you 1665 01:31:25,960 --> 01:31:27,120 Speaker 1: could bring packaged meating. 1666 01:31:27,240 --> 01:31:29,240 Speaker 3: Yeah, yeah, so you could do something like that. And 1667 01:31:29,600 --> 01:31:32,000 Speaker 3: one thing again, I'm I'm new to New Mexico, but 1668 01:31:32,320 --> 01:31:35,720 Speaker 3: one thing that is interesting, you know, I guess for 1669 01:31:35,800 --> 01:31:38,479 Speaker 3: everybody is that New Mexico has the largest animal port 1670 01:31:38,520 --> 01:31:40,360 Speaker 3: of entry anywhere in the US. So we import more 1671 01:31:40,400 --> 01:31:42,719 Speaker 3: than fifty percent of the cattle that come across from Mexico. 1672 01:31:42,920 --> 01:31:46,320 Speaker 3: At the Santa there said border crossing near all. 1673 01:31:46,200 --> 01:31:47,960 Speaker 1: Passes and it's closed because of screw worms. 1674 01:31:48,000 --> 01:31:51,280 Speaker 3: It's so all of the border crossings are so Douglas Columbus, 1675 01:31:51,800 --> 01:31:54,799 Speaker 3: any of them in Texas. We currently are not importing 1676 01:31:54,960 --> 01:31:59,880 Speaker 3: animals from Mexico because of screworm. So what that looks 1677 01:31:59,920 --> 01:32:03,080 Speaker 3: like like in different ways, I don't know. I'm not 1678 01:32:03,160 --> 01:32:05,280 Speaker 3: an economist, so I can't speak to some of that, 1679 01:32:05,439 --> 01:32:09,280 Speaker 3: but what it it? Yeah, they're they're currently closed and 1680 01:32:09,400 --> 01:32:13,280 Speaker 3: so uh and when they do real who whose call 1681 01:32:13,439 --> 01:32:16,360 Speaker 3: is that to make ust It's yeah, it's APHIS's call, 1682 01:32:17,520 --> 01:32:19,960 Speaker 3: and I think that, you know, there are going to 1683 01:32:20,000 --> 01:32:22,200 Speaker 3: be some downstream consequences. You know, I have a I 1684 01:32:22,240 --> 01:32:25,479 Speaker 3: have a colleague who you know, works with you know, 1685 01:32:25,600 --> 01:32:28,679 Speaker 3: he works in in cattle, and he was talking about, 1686 01:32:28,720 --> 01:32:31,000 Speaker 3: you know, just the drivers that you know, would be 1687 01:32:31,120 --> 01:32:33,600 Speaker 3: bringing those animals across, so then truck them. You know, 1688 01:32:33,680 --> 01:32:36,800 Speaker 3: the border has been closed for multiple months, and it's 1689 01:32:37,280 --> 01:32:39,400 Speaker 3: like they had to go find new jobs because that 1690 01:32:39,600 --> 01:32:41,519 Speaker 3: was their job. So what's gonna happen when the ports 1691 01:32:41,560 --> 01:32:44,439 Speaker 3: open back up. Are they just gonna you know, they 1692 01:32:44,479 --> 01:32:45,240 Speaker 3: all have new jobs. 1693 01:32:45,280 --> 01:32:45,400 Speaker 4: You know. 1694 01:32:45,439 --> 01:32:47,760 Speaker 3: It's kind of like when you know, when the when 1695 01:32:47,800 --> 01:32:50,920 Speaker 3: the government fired all these USCA employees, it's like, oh, hey, 1696 01:32:50,960 --> 01:32:53,240 Speaker 3: we know we actually needed those people. But like they 1697 01:32:53,280 --> 01:32:55,240 Speaker 3: can't just sit there, so they went and found new jobs. 1698 01:32:55,280 --> 01:32:57,960 Speaker 1: Did they doze a bunch of screwroom guys? So not? 1699 01:32:59,720 --> 01:33:02,400 Speaker 3: I think they tried with a lot of these things. 1700 01:33:02,439 --> 01:33:04,120 Speaker 3: They were like, oh yeah, you've been here for you know, 1701 01:33:04,120 --> 01:33:06,400 Speaker 3: because it was all these temporary employees. So if it 1702 01:33:06,439 --> 01:33:10,000 Speaker 3: was screw them or it was highpath avian influenza, they're like, 1703 01:33:10,080 --> 01:33:11,880 Speaker 3: oh yeah, we need to fire all these people. And 1704 01:33:11,880 --> 01:33:13,840 Speaker 3: they're like, oh no, we need those people, so they 1705 01:33:13,920 --> 01:33:15,800 Speaker 3: like they fired them and then like took away their 1706 01:33:15,800 --> 01:33:18,080 Speaker 3: government emails and then brought them back. And it like, 1707 01:33:18,240 --> 01:33:20,800 Speaker 3: I you know, I'm I'm very good friends with the 1708 01:33:20,840 --> 01:33:23,439 Speaker 3: people that run the screwerm lab. And it's been a 1709 01:33:23,600 --> 01:33:28,599 Speaker 3: very and a lot of just uscay like oh shit, 1710 01:33:28,680 --> 01:33:31,680 Speaker 3: we fired him, yeah, call him back, Yeah yeah, Well, 1711 01:33:31,680 --> 01:33:34,240 Speaker 3: and and that's kind of the whole thing, right, and 1712 01:33:34,520 --> 01:33:36,680 Speaker 3: and so it is. It's there's a lot of these 1713 01:33:36,720 --> 01:33:39,800 Speaker 3: infrastructure pieces that we don't know what it's going to 1714 01:33:39,840 --> 01:33:41,360 Speaker 3: look like. And there's a lot of people that want 1715 01:33:41,400 --> 01:33:45,080 Speaker 3: that border to open, but the and there's going to 1716 01:33:45,160 --> 01:33:49,040 Speaker 3: be policies. So like currently the the process will be, 1717 01:33:49,160 --> 01:33:52,360 Speaker 3: you know, the animals already dipped with kumafas when they 1718 01:33:52,439 --> 01:33:55,559 Speaker 3: come across the border anyways, like to deal with cattle fever, 1719 01:33:55,680 --> 01:33:58,960 Speaker 3: tick or other ectoparasites. But they're going to be treating 1720 01:33:59,040 --> 01:34:01,920 Speaker 3: them with ivermectin and moving them across the border when 1721 01:34:01,960 --> 01:34:02,959 Speaker 3: that ends up opening. 1722 01:34:02,880 --> 01:34:06,240 Speaker 1: COVID medication those jokes, yeah, aha, for. 1723 01:34:06,680 --> 01:34:08,320 Speaker 3: Us, it's one of these things that it's like it's 1724 01:34:08,360 --> 01:34:11,519 Speaker 3: a it's been something that has been used for so 1725 01:34:11,680 --> 01:34:16,160 Speaker 3: long in both human and animal production systems. And so, 1726 01:34:16,640 --> 01:34:18,639 Speaker 3: but there are going to be all of these different 1727 01:34:18,680 --> 01:34:20,840 Speaker 3: things that go on. But yeah, currently the borders are 1728 01:34:20,880 --> 01:34:25,400 Speaker 3: shut down because of that, so they're yeah, what that 1729 01:34:25,520 --> 01:34:29,840 Speaker 3: looks like moving forward? I know that there's like rumblings 1730 01:34:29,880 --> 01:34:32,479 Speaker 3: that people want it to open, but it also doesn't 1731 01:34:32,520 --> 01:34:35,200 Speaker 3: seem like we're anywhere near that actually being the case. 1732 01:34:36,560 --> 01:34:40,120 Speaker 1: Let's jump to an area. Let's let's jump into an 1733 01:34:40,120 --> 01:34:43,120 Speaker 1: area where there is like high rates. Okay, like a 1734 01:34:43,200 --> 01:34:44,000 Speaker 1: real trouble spot. 1735 01:34:44,080 --> 01:34:44,280 Speaker 2: Yeah. 1736 01:34:46,280 --> 01:34:49,240 Speaker 1: Uh, well he talked about it with cattle, but it's 1737 01:34:49,800 --> 01:34:52,240 Speaker 1: like in an area that has screworm, it's got to 1738 01:34:52,320 --> 01:34:55,160 Speaker 1: it's it's somewhat indiscriminate, right, correct, But I mean like, yeah, 1739 01:34:55,320 --> 01:34:58,479 Speaker 1: there's not like a deer strain and a cow strain. 1740 01:34:58,600 --> 01:34:59,920 Speaker 1: It's like all things get hit. 1741 01:35:00,200 --> 01:35:03,439 Speaker 3: Yeah, and and I focus I've focused mostly on cattle. 1742 01:35:03,479 --> 01:35:06,000 Speaker 1: Here pull that picture because yeah, I saw a dog. 1743 01:35:06,160 --> 01:35:06,320 Speaker 2: Yeah. 1744 01:35:06,360 --> 01:35:06,679 Speaker 1: Correct. 1745 01:35:06,720 --> 01:35:10,559 Speaker 3: And so in Mexico currently, the uh if you look 1746 01:35:10,560 --> 01:35:12,880 Speaker 3: at the distribution of in that middle one is a 1747 01:35:12,960 --> 01:35:15,080 Speaker 3: video too. If you click on it, I can't, Oh 1748 01:35:15,120 --> 01:35:16,400 Speaker 3: you can't, okay, No, it's okay. 1749 01:35:17,280 --> 01:35:17,519 Speaker 1: Yeah. 1750 01:35:17,640 --> 01:35:22,559 Speaker 3: So so in Mexico, the number one infestation is in cattle. 1751 01:35:23,120 --> 01:35:26,479 Speaker 3: Number two is in dogs. And part of that though, 1752 01:35:26,720 --> 01:35:29,720 Speaker 3: is brain paying open up. Yeah yeah, and so and 1753 01:35:29,800 --> 01:35:31,559 Speaker 3: then that they got through the bone. 1754 01:35:31,880 --> 01:35:32,080 Speaker 1: Yeah. 1755 01:35:32,160 --> 01:35:34,520 Speaker 3: So so they're just chewing through everything. 1756 01:35:34,479 --> 01:35:35,719 Speaker 1: They can chew through your bones. 1757 01:35:35,960 --> 01:35:38,519 Speaker 3: I don't know exactly how that all looks, uh, to 1758 01:35:38,640 --> 01:35:44,479 Speaker 3: be completely honest, but yeah, it's not great. And so again, 1759 01:35:44,560 --> 01:35:48,200 Speaker 3: so it is, it's indiscriminate. And I talk, I talk 1760 01:35:48,240 --> 01:35:51,000 Speaker 3: a lot about cattle. But that's because that's the thing 1761 01:35:51,080 --> 01:35:53,280 Speaker 3: that we look at right like we're looking at animals, 1762 01:35:53,280 --> 01:35:54,920 Speaker 3: we're running them through a shoot, we're doing all of that. 1763 01:35:55,160 --> 01:35:56,479 Speaker 3: Oh yeah, it's just like a lot. 1764 01:35:56,760 --> 01:35:56,960 Speaker 2: Yeah. 1765 01:35:57,040 --> 01:36:00,640 Speaker 3: So that's a key deer that has its brain uh 1766 01:36:01,960 --> 01:36:02,719 Speaker 3: essentially eaten. 1767 01:36:03,000 --> 01:36:06,120 Speaker 4: So it's alive with like a hole in its skull, 1768 01:36:06,520 --> 01:36:10,839 Speaker 4: correct and its brain exposed. That beautiful. 1769 01:36:11,040 --> 01:36:13,240 Speaker 1: But they didn't get in on him. They didn't get 1770 01:36:13,320 --> 01:36:16,040 Speaker 1: in on him because he dropped his no. No. So 1771 01:36:16,439 --> 01:36:18,280 Speaker 1: that's just a he's. 1772 01:36:19,800 --> 01:36:20,000 Speaker 2: Yeah. 1773 01:36:20,360 --> 01:36:23,240 Speaker 3: And so again it's it's one of these things that 1774 01:36:25,520 --> 01:36:29,880 Speaker 3: my concern and again, like wanting to communicate to a group, 1775 01:36:30,240 --> 01:36:33,559 Speaker 3: you know, a group of outdoors people, is that we're 1776 01:36:33,600 --> 01:36:35,599 Speaker 3: not looking at animals, you know, we're not looking at 1777 01:36:35,600 --> 01:36:39,479 Speaker 3: wildlife because we're you know, We're not rounding up deer 1778 01:36:39,560 --> 01:36:41,760 Speaker 3: and running them through a shoot to inspect them, right. 1779 01:36:42,000 --> 01:36:43,360 Speaker 1: And so yeah, you don't take a dry you know, 1780 01:36:43,400 --> 01:36:45,120 Speaker 1: no one's taking a drive every morning, and you see 1781 01:36:45,120 --> 01:36:46,080 Speaker 1: how the hurts exactly. 1782 01:36:46,160 --> 01:36:49,439 Speaker 3: And so the problem is is that, yeah, it's gonna 1783 01:36:49,439 --> 01:36:51,439 Speaker 3: get into wildlife and it's going to run rampant in 1784 01:36:51,600 --> 01:36:54,240 Speaker 3: wildlife because wildlife are going to get to places people 1785 01:36:54,320 --> 01:36:56,719 Speaker 3: can't get to. Sure, and then it's going to exist 1786 01:36:56,800 --> 01:36:59,479 Speaker 3: and you're going to have animals that die, and then 1787 01:36:59,560 --> 01:37:02,679 Speaker 3: the those maggots are going to crawl off pupid, emerge 1788 01:37:02,680 --> 01:37:04,839 Speaker 3: as adults, and they're going to infect some other animals, 1789 01:37:04,960 --> 01:37:07,400 Speaker 3: and it's going to be this you know, propagating issue. 1790 01:37:07,560 --> 01:37:10,080 Speaker 1: Yeah, like it could live in a deer herd. Correct, 1791 01:37:10,160 --> 01:37:13,120 Speaker 1: It could live in a deer herd somewhere for some 1792 01:37:13,280 --> 01:37:16,519 Speaker 1: period of time before a stockman realizes correct. 1793 01:37:16,720 --> 01:37:20,000 Speaker 3: Yeah, and so and that's kind of the concern. And 1794 01:37:20,080 --> 01:37:23,800 Speaker 3: so in Mexico, you know, talking to these veterinarians that 1795 01:37:23,880 --> 01:37:26,640 Speaker 3: we brought up for this training, they were saying, like 1796 01:37:26,720 --> 01:37:29,320 Speaker 3: we asked about wildlife, They're like, oh, yeah, one hundred 1797 01:37:29,320 --> 01:37:32,920 Speaker 3: percent is in wildlife. We just we can't we can't 1798 01:37:33,000 --> 01:37:37,120 Speaker 3: document those cases, and so because of that, it's it 1799 01:37:37,280 --> 01:37:41,160 Speaker 3: is it's this kind of this area that kind of 1800 01:37:41,280 --> 01:37:43,240 Speaker 3: exists that we don't really know what to do with. 1801 01:37:43,479 --> 01:37:47,360 Speaker 3: And even when it comes to you know, outreach and 1802 01:37:47,640 --> 01:37:49,920 Speaker 3: stuff like that, we can go to a you know, 1803 01:37:50,000 --> 01:37:52,800 Speaker 3: cattleman's association meeting, we can talk to brand inspectors, we 1804 01:37:52,840 --> 01:37:54,320 Speaker 3: can do a lot of that type of stuff. But 1805 01:37:54,960 --> 01:37:58,040 Speaker 3: when it comes to communicating to a bunch of hunters 1806 01:37:58,920 --> 01:38:02,200 Speaker 3: or outdoors people in general, it's a more challenging kind 1807 01:38:02,240 --> 01:38:05,280 Speaker 3: of environment to be able to communicate to them, to develop, uh, 1808 01:38:06,040 --> 01:38:08,200 Speaker 3: you know, different tools to be able to you know, 1809 01:38:08,600 --> 01:38:10,400 Speaker 3: do that. You know, a couple of colleagues of mine 1810 01:38:10,920 --> 01:38:13,680 Speaker 3: we're putting together a survey for New Mexico where we 1811 01:38:13,760 --> 01:38:18,479 Speaker 3: went to uh, survey hunters, you know, kind of outdoors people, 1812 01:38:18,720 --> 01:38:22,160 Speaker 3: cattle producers in the general public. I recognize that there's 1813 01:38:22,200 --> 01:38:24,600 Speaker 3: a certain type of person that answers surveys, but it 1814 01:38:24,840 --> 01:38:26,519 Speaker 3: is still one of these things that we. 1815 01:38:26,560 --> 01:38:27,160 Speaker 1: Want to be able to do. 1816 01:38:27,880 --> 01:38:29,800 Speaker 3: You answer surveys, Yeah, yeah, it could be that could 1817 01:38:29,800 --> 01:38:30,639 Speaker 3: be the first question. 1818 01:38:31,160 --> 01:38:31,479 Speaker 4: But it is. 1819 01:38:32,479 --> 01:38:38,280 Speaker 3: Yeah, but it is something Yeah, yeah, it's something that 1820 01:38:38,840 --> 01:38:40,840 Speaker 3: in the next couple of weeks that that's something that 1821 01:38:40,920 --> 01:38:44,280 Speaker 3: we're gonna put out to try to just see what 1822 01:38:44,400 --> 01:38:45,600 Speaker 3: people know, what people don't know. 1823 01:38:45,840 --> 01:38:47,719 Speaker 1: Tell people what look for, like, yeah, all the woods, 1824 01:38:48,280 --> 01:38:50,760 Speaker 1: you're out running around whatever, and then here you see 1825 01:38:50,880 --> 01:38:52,160 Speaker 1: a blank yeah. 1826 01:38:52,280 --> 01:38:54,799 Speaker 3: So and so some of that is going to be challenging, 1827 01:38:54,880 --> 01:38:56,920 Speaker 3: right because if you if you see a dead animal 1828 01:38:57,000 --> 01:38:59,400 Speaker 3: and you see maggots, you'll see that right, like that's 1829 01:38:59,439 --> 01:39:02,000 Speaker 3: just gonna happen, and with a decomposing animal, and so 1830 01:39:02,520 --> 01:39:04,960 Speaker 3: some of it is just a matter of if you 1831 01:39:05,040 --> 01:39:08,040 Speaker 3: see that, that's something that you should be reporting. A 1832 01:39:08,120 --> 01:39:10,360 Speaker 3: dead animal with magots, a dead animal with maggots. So 1833 01:39:10,439 --> 01:39:12,360 Speaker 3: you saw it's just this morning reported dead hole in 1834 01:39:12,400 --> 01:39:15,120 Speaker 3: a tree exactly. Yeah, and so but again it's it's 1835 01:39:15,200 --> 01:39:19,240 Speaker 3: one of these things that it will be especially important 1836 01:39:20,120 --> 01:39:22,360 Speaker 3: if in win screworm kits here, but it is going 1837 01:39:22,439 --> 01:39:24,639 Speaker 3: to be kind of a early reporting thing as well. 1838 01:39:24,840 --> 01:39:29,360 Speaker 3: So depending on the state that you're in. I had, 1839 01:39:30,280 --> 01:39:34,479 Speaker 3: oh yeah, in New Mexico at all of our extension offices. 1840 01:39:34,520 --> 01:39:36,320 Speaker 3: I know Arizona's doing a similar thing. We have these 1841 01:39:36,360 --> 01:39:41,080 Speaker 3: collection kits that people can request or get and pretty 1842 01:39:41,160 --> 01:39:44,639 Speaker 3: much what it comes with is a set of tweezers. 1843 01:39:45,600 --> 01:39:48,559 Speaker 3: It comes with a vial that has seventy percent ethanol 1844 01:39:48,600 --> 01:39:51,000 Speaker 3: in it, and then it comes with a QR code 1845 01:39:51,080 --> 01:39:54,439 Speaker 3: and it pretty much says collect maggots from these different 1846 01:39:54,479 --> 01:39:58,040 Speaker 3: locations and then essentially you can then submit it to 1847 01:39:58,439 --> 01:40:01,519 Speaker 3: the New Mexico Department of rom Live stuff, no from 1848 01:40:01,680 --> 01:40:04,559 Speaker 3: and from dead things as well. I think that it's 1849 01:40:04,960 --> 01:40:07,439 Speaker 3: one of these things that we're looking more for a 1850 01:40:08,000 --> 01:40:11,960 Speaker 3: living animal that has things in it. But for hunters, 1851 01:40:12,040 --> 01:40:13,000 Speaker 3: you know, you're not going to get them. 1852 01:40:13,160 --> 01:40:15,880 Speaker 5: You just harvested deer, Yeah, and you immediately look it 1853 01:40:15,960 --> 01:40:19,200 Speaker 5: over right, exactly well, and that's and that's really where 1854 01:40:19,640 --> 01:40:22,640 Speaker 5: you know, I'm trying to communicate is, yeah, you're going 1855 01:40:22,680 --> 01:40:24,360 Speaker 5: to be looking at animals in a way that the 1856 01:40:24,439 --> 01:40:25,240 Speaker 5: rest of us aren't. 1857 01:40:25,320 --> 01:40:29,320 Speaker 3: Right, And and again we're especially in southern New Mexico 1858 01:40:29,400 --> 01:40:31,559 Speaker 3: where you know, we have a number of those exotics 1859 01:40:31,640 --> 01:40:34,080 Speaker 3: and everything like that. It's going to be something that 1860 01:40:34,320 --> 01:40:37,200 Speaker 3: people are handling those animals because they've harvested them to 1861 01:40:37,280 --> 01:40:40,840 Speaker 3: look them over, look for maggots, anything like that. And 1862 01:40:40,960 --> 01:40:43,840 Speaker 3: so obviously if you were to come across an animal 1863 01:40:43,880 --> 01:40:45,760 Speaker 3: and it's just skull and bones in the you know, 1864 01:40:46,840 --> 01:40:50,200 Speaker 3: am I saying that you should collect maggots. Probably not, 1865 01:40:50,439 --> 01:40:53,120 Speaker 3: but it also wouldn't hurt you know, part of the 1866 01:40:53,439 --> 01:40:57,280 Speaker 3: New Mexico Department of Bag and you know ag agencies 1867 01:40:57,320 --> 01:40:59,880 Speaker 3: in general across the country. Part of what they're doing 1868 01:41:00,080 --> 01:41:02,800 Speaker 3: right now is processing samples if it's adult flies, if 1869 01:41:02,840 --> 01:41:05,679 Speaker 3: it's maggots, just to monitor, yeah, just to monitor. 1870 01:41:06,240 --> 01:41:08,800 Speaker 1: The wildlife agencies take interest. Yet is it mostly the 1871 01:41:08,840 --> 01:41:09,479 Speaker 1: egg commission? 1872 01:41:09,479 --> 01:41:12,640 Speaker 3: So it's mostly the community. So in New Mexico, we 1873 01:41:13,960 --> 01:41:16,439 Speaker 3: Fish and Wildlife put out kind of a call. It 1874 01:41:16,520 --> 01:41:18,880 Speaker 3: was an email to anyone that drew a tag last 1875 01:41:18,960 --> 01:41:21,240 Speaker 3: year essentially saying, hey, be on the lookout for this. 1876 01:41:22,120 --> 01:41:25,360 Speaker 3: I don't know of any other agencies that are currently 1877 01:41:25,439 --> 01:41:27,880 Speaker 3: doing that, though I think that it is a really 1878 01:41:28,240 --> 01:41:32,280 Speaker 3: great thing to kind of be able to do that. 1879 01:41:32,360 --> 01:41:35,040 Speaker 3: So like I got an email, A colleague of mine 1880 01:41:35,080 --> 01:41:36,439 Speaker 3: got an email, and I was like, oh, okay, actually 1881 01:41:36,439 --> 01:41:39,400 Speaker 3: they're doing something. But that's part of the challenge is 1882 01:41:39,479 --> 01:41:42,479 Speaker 3: because it is this whole other group that we don't 1883 01:41:42,600 --> 01:41:46,839 Speaker 3: traditionally interface with, and so it's getting those people involved. 1884 01:41:47,880 --> 01:41:51,320 Speaker 3: And the other challenge is that you know, every state 1885 01:41:51,640 --> 01:41:54,360 Speaker 3: has their own state response. Obviously it's all governed by 1886 01:41:54,360 --> 01:41:58,519 Speaker 3: the USDA, but what Texas is doing, and what New 1887 01:41:58,600 --> 01:42:01,200 Speaker 3: Mexico is doing, and what Airs is doing, what California 1888 01:42:01,280 --> 01:42:03,400 Speaker 3: is doing, they're all slightly different. And a lot of 1889 01:42:03,439 --> 01:42:06,040 Speaker 3: that has to do with kind of funding structures and 1890 01:42:06,120 --> 01:42:10,000 Speaker 3: where stuff like that is coming from and so and 1891 01:42:10,240 --> 01:42:12,920 Speaker 3: the way that people are developing things. And so again, 1892 01:42:13,560 --> 01:42:16,960 Speaker 3: my kind of call is is if you see something, 1893 01:42:17,040 --> 01:42:19,280 Speaker 3: say something in a lot of ways because I think 1894 01:42:19,360 --> 01:42:22,559 Speaker 3: that it's it's something that is going to be a concern. 1895 01:42:22,600 --> 01:42:25,719 Speaker 3: And if you're concerned about the environment, you're concerned about 1896 01:42:25,760 --> 01:42:30,479 Speaker 3: the health of wildlife, you know, that's a big concern 1897 01:42:31,120 --> 01:42:31,679 Speaker 3: on that front. 1898 01:42:31,920 --> 01:42:36,760 Speaker 1: You know, we have a lot of conversations about mortality 1899 01:42:36,800 --> 01:42:39,400 Speaker 1: events with wildlife, and there's this question of like is 1900 01:42:39,439 --> 01:42:42,560 Speaker 1: it a population level impact, Meaning someone might look and 1901 01:42:42,680 --> 01:42:47,160 Speaker 1: say lead ammunition can lead to some rapt or death 1902 01:42:47,320 --> 01:42:51,040 Speaker 1: because they're ingesting fragments of lead from carcasses they scavenge 1903 01:42:51,120 --> 01:42:53,519 Speaker 1: or left by hunters. And someone might counter that by 1904 01:42:53,560 --> 01:42:57,519 Speaker 1: saying that happens, it's not a population level impact. Or 1905 01:42:58,280 --> 01:43:01,040 Speaker 1: wind turbines, you know, on or bird species. It might 1906 01:43:01,080 --> 01:43:03,839 Speaker 1: be like, yes, for sure, but it's not a population 1907 01:43:03,920 --> 01:43:05,880 Speaker 1: level impact. The same way you look and you'd say here, 1908 01:43:06,040 --> 01:43:09,200 Speaker 1: Like man, cars hit and kill a lot of deer 1909 01:43:10,080 --> 01:43:13,160 Speaker 1: right most every week you see a new dead deer 1910 01:43:13,800 --> 01:43:16,400 Speaker 1: somewhere around these neighborhoods that we're in right now. Ye, 1911 01:43:16,920 --> 01:43:23,160 Speaker 1: but it's not a population level impact in your opinion, 1912 01:43:23,320 --> 01:43:27,680 Speaker 1: Is it possible to have population level impacts on wildlife 1913 01:43:28,400 --> 01:43:31,479 Speaker 1: considering that it has that this stuff needs to be wounded? 1914 01:43:31,840 --> 01:43:32,040 Speaker 2: Yeah? 1915 01:43:32,479 --> 01:43:32,920 Speaker 1: Yeah, I. 1916 01:43:34,680 --> 01:43:37,720 Speaker 3: I couldn't say, like truly, I think some of it 1917 01:43:39,240 --> 01:43:41,479 Speaker 3: what that really looks like. I think if it were 1918 01:43:41,560 --> 01:43:44,000 Speaker 3: to just run rampant, you potentially would see that. You know, 1919 01:43:44,080 --> 01:43:46,639 Speaker 3: I'm thinking about you know, like ORX in New Mexico 1920 01:43:46,760 --> 01:43:49,280 Speaker 3: or something like that. I could see a population level 1921 01:43:49,320 --> 01:43:52,320 Speaker 3: impact there, right Are you going to see that in. 1922 01:43:52,360 --> 01:43:54,200 Speaker 1: An area would have a thing that's confined to a 1923 01:43:54,280 --> 01:43:57,320 Speaker 1: relatively small anyways and it's not a huge population anyways. 1924 01:43:57,400 --> 01:43:59,439 Speaker 3: Yeah, or you know where we're talking prong horned populations 1925 01:43:59,479 --> 01:44:00,640 Speaker 3: in New Mexico or anything like that. 1926 01:44:00,760 --> 01:44:06,599 Speaker 1: A good point in a reduced vulnerable population, a population 1927 01:44:06,760 --> 01:44:08,800 Speaker 1: level impact could be for adults. 1928 01:44:08,560 --> 01:44:11,080 Speaker 3: Correct, And so that's where I think you're going to 1929 01:44:11,160 --> 01:44:13,920 Speaker 3: see impacts. Do I think that it's there's going to 1930 01:44:13,960 --> 01:44:15,880 Speaker 3: be a population level impact to white tail deer. 1931 01:44:16,160 --> 01:44:20,080 Speaker 1: No, probably not, like it's like it's additive mortel for 1932 01:44:20,200 --> 01:44:23,400 Speaker 1: some populations like the key deer losing a handful of 1933 01:44:23,479 --> 01:44:24,599 Speaker 1: mature animals as a hit. 1934 01:44:24,800 --> 01:44:27,080 Speaker 3: Yeah, and so I think they lost one hundred and 1935 01:44:27,160 --> 01:44:29,960 Speaker 3: fifty deer or something like that, which is a huge 1936 01:44:30,080 --> 01:44:34,560 Speaker 3: number with what the population is. And so I I 1937 01:44:34,760 --> 01:44:38,840 Speaker 3: can't speak to that from the that And I also 1938 01:44:38,920 --> 01:44:41,880 Speaker 3: don't know if anyone has ever tried modeling it or 1939 01:44:42,200 --> 01:44:44,400 Speaker 3: anything like that. We say that it will have an 1940 01:44:44,439 --> 01:44:47,920 Speaker 3: impact on wildlife, but that's the challenge, is that how 1941 01:44:48,040 --> 01:44:51,640 Speaker 3: do you actually you know, it hasn't been here for 1942 01:44:52,680 --> 01:44:57,880 Speaker 3: like in being endemic for fifty plus years, and so 1943 01:44:59,080 --> 01:45:01,240 Speaker 3: what that looks like they were modeling, how they were 1944 01:45:01,280 --> 01:45:04,599 Speaker 3: doing any of that. It's completely changed. And so yeah, 1945 01:45:04,600 --> 01:45:07,360 Speaker 3: I don't know. I can't definitively say, but some of 1946 01:45:07,439 --> 01:45:10,200 Speaker 3: these more vulnerable populations, I could imagine it being a 1947 01:45:11,160 --> 01:45:15,280 Speaker 3: concern and then that's going to change, you know, tag 1948 01:45:15,320 --> 01:45:17,680 Speaker 3: allocation and anything else like that, and so it's going 1949 01:45:17,720 --> 01:45:19,360 Speaker 3: to be a kind of concern overall. 1950 01:45:24,320 --> 01:45:27,720 Speaker 1: We mentioned getting on dogs and Mexico on dogs, is 1951 01:45:27,760 --> 01:45:30,800 Speaker 1: that mostly like are they seeing it on that's just 1952 01:45:30,920 --> 01:45:32,360 Speaker 1: like feral dogs, street dogs. 1953 01:45:32,560 --> 01:45:33,880 Speaker 3: Yeah, yeah, so much. 1954 01:45:33,920 --> 01:45:34,240 Speaker 1: Pets. 1955 01:45:34,320 --> 01:45:35,200 Speaker 3: No, so you'll see it in. 1956 01:45:35,240 --> 01:45:38,320 Speaker 1: Pets as well. You might have your dog go home, 1957 01:45:38,400 --> 01:45:39,120 Speaker 1: be like what in the world? 1958 01:45:39,200 --> 01:45:43,040 Speaker 3: Correct, And so that's actually something that currently whenever an 1959 01:45:43,040 --> 01:45:47,479 Speaker 3: animal is brought from a endemic zone in Mexico across 1960 01:45:47,840 --> 01:45:50,639 Speaker 3: the border, the animals are supposed to have a certified 1961 01:45:50,720 --> 01:45:52,000 Speaker 3: ved inspection and. 1962 01:45:52,040 --> 01:45:53,280 Speaker 1: That's the things they would look for. 1963 01:45:53,479 --> 01:45:55,120 Speaker 3: And that's one of the So that's the reason that 1964 01:45:55,240 --> 01:45:59,400 Speaker 3: it currently exists for companion animals is so that screworm 1965 01:45:59,439 --> 01:46:03,439 Speaker 3: because scream coming across and and that you know, some 1966 01:46:03,520 --> 01:46:06,680 Speaker 3: people are very concerned about. That's how scrowm would get 1967 01:46:06,680 --> 01:46:08,600 Speaker 3: here is because you know, we already. 1968 01:46:08,360 --> 01:46:10,519 Speaker 1: Have my buddy. Yeah, I don't want to read them out. 1969 01:46:10,720 --> 01:46:12,800 Speaker 1: And the dog's dead anyways, in the so long ago 1970 01:46:13,720 --> 01:46:16,720 Speaker 1: he he smuggled a Mexico dog home. Yeah, named it 1971 01:46:16,840 --> 01:46:21,680 Speaker 1: number seven and uh died long ago. Okay, Uh, but 1972 01:46:21,760 --> 01:46:23,280 Speaker 1: you know you wouldn't be able to water board it 1973 01:46:23,320 --> 01:46:23,880 Speaker 1: out of me? Who did? 1974 01:46:24,280 --> 01:46:24,559 Speaker 2: Okay? 1975 01:46:25,439 --> 01:46:27,519 Speaker 4: What about uh? Wild hogs? 1976 01:46:27,720 --> 01:46:29,559 Speaker 3: Yeah, Texas, Yeah. 1977 01:46:29,880 --> 01:46:34,920 Speaker 4: A huge fear around so yeah around screw yeah. 1978 01:46:35,200 --> 01:46:38,920 Speaker 3: So that's it, like hogs and well just just think 1979 01:46:38,960 --> 01:46:44,000 Speaker 3: about you know them, you know interacting wounding themselves or others, 1980 01:46:44,040 --> 01:46:45,200 Speaker 3: and then kind of what that's going to do, and 1981 01:46:45,240 --> 01:46:48,200 Speaker 3: then the movement all exactly in so. 1982 01:46:48,360 --> 01:46:51,599 Speaker 4: Many Texas, like suburban urban areas. 1983 01:46:51,640 --> 01:46:54,720 Speaker 3: And it's funny, you know when we've when I've been 1984 01:46:54,800 --> 01:46:56,920 Speaker 3: in strategy meetings about like, all right, well what happens 1985 01:46:57,000 --> 01:47:00,519 Speaker 3: because it'll probably get to Texas first. It's just that 1986 01:47:00,880 --> 01:47:03,960 Speaker 3: really exposed border and where the cases are, it'll probably 1987 01:47:04,200 --> 01:47:06,320 Speaker 3: get into Texas first. And so we're like, all right, 1988 01:47:06,880 --> 01:47:09,120 Speaker 3: it's probably more of a concern for us to deal with, 1989 01:47:09,680 --> 01:47:11,640 Speaker 3: you know, screw them coming from Texas than it is 1990 01:47:11,720 --> 01:47:13,760 Speaker 3: from Mexico. And so we're kind of thinking from that 1991 01:47:14,080 --> 01:47:17,080 Speaker 3: that eastern side of our state where we have a 1992 01:47:17,120 --> 01:47:19,360 Speaker 3: bunch of cattle productions are coming. Yeah, we have a 1993 01:47:19,560 --> 01:47:21,479 Speaker 3: we have a bunch of cattle production and there's a 1994 01:47:21,760 --> 01:47:24,280 Speaker 3: huge wild hog problem there. And so we're like, all right, 1995 01:47:24,400 --> 01:47:26,280 Speaker 3: this is a this is a place that we need 1996 01:47:26,360 --> 01:47:28,560 Speaker 3: to be able to monitor and kind of deal with 1997 01:47:28,760 --> 01:47:32,000 Speaker 3: when it comes to a lot of that is Yeah, 1998 01:47:32,040 --> 01:47:34,960 Speaker 3: So so wild hogs are are definitely a concern, and 1999 01:47:35,040 --> 01:47:36,240 Speaker 3: it's kind of like, all right, well what do we 2000 01:47:36,320 --> 01:47:36,720 Speaker 3: do with them? 2001 01:47:37,080 --> 01:47:37,200 Speaker 4: Uh? 2002 01:47:37,880 --> 01:47:39,760 Speaker 3: Just you know, it's our it's already a problem just 2003 01:47:39,800 --> 01:47:43,200 Speaker 3: from their damage, let alone. From now they're going to 2004 01:47:43,200 --> 01:47:44,400 Speaker 3: be carrying Screwroom around. 2005 01:47:45,360 --> 01:47:47,880 Speaker 1: M M. What do you got, Doug? 2006 01:47:49,120 --> 01:47:51,680 Speaker 2: I got a new band name. It's called the New 2007 01:47:51,720 --> 01:47:52,759 Speaker 2: World screw Worms. 2008 01:47:53,000 --> 01:47:55,040 Speaker 1: That's like heavy metal. It's like, it's like goar. 2009 01:47:55,479 --> 01:47:57,920 Speaker 2: And the album is called Problem of the Americas. 2010 01:47:59,200 --> 01:48:08,160 Speaker 1: I uh, good album like that? An I uh, I 2011 01:48:08,200 --> 01:48:11,840 Speaker 1: could see a band Problem with the Americas. Yeah, that's 2012 01:48:11,880 --> 01:48:15,480 Speaker 1: what it wouldn't be death metal. Oh yeah, screw is hardcore, 2013 01:48:16,520 --> 01:48:19,160 Speaker 1: hardcore death metal, like the kind of stuff you don't 2014 01:48:19,160 --> 01:48:21,000 Speaker 1: you want your kids to listen to. That's the kind 2015 01:48:21,000 --> 01:48:22,080 Speaker 1: of music screw Room makes. 2016 01:48:24,280 --> 01:48:26,439 Speaker 2: Beyond that, I I thought when I saw this. 2017 01:48:28,000 --> 01:48:30,280 Speaker 5: Title and started reading a little bit about it, I'm like, well, 2018 01:48:30,320 --> 01:48:33,400 Speaker 5: this ought to be interesting, and it's been fascinating. 2019 01:48:33,960 --> 01:48:35,960 Speaker 1: You came down here thinking you wouldn't be interested. I 2020 01:48:36,040 --> 01:48:38,240 Speaker 1: thought I had you come because I knew you'd be interested. 2021 01:48:38,320 --> 01:48:43,160 Speaker 5: Well, I didn't know how interested I would be. The 2022 01:48:43,240 --> 01:48:45,160 Speaker 5: whole thing with cattle, I mean, i've you know, like 2023 01:48:46,479 --> 01:48:49,720 Speaker 5: you cut the antler, I'm sorry, the horns off. I 2024 01:48:50,000 --> 01:48:51,800 Speaker 5: just remember this blue coat was the blue stuff that 2025 01:48:51,880 --> 01:48:52,599 Speaker 5: would spray. 2026 01:48:54,400 --> 01:48:55,599 Speaker 1: Was a stockman. But retired. 2027 01:48:56,360 --> 01:49:00,800 Speaker 5: Yeah, but so you cut the horns off cows and 2028 01:49:00,920 --> 01:49:04,000 Speaker 5: then and you know, if you do it too or 2029 01:49:04,080 --> 01:49:07,040 Speaker 5: too late in the spring, then the flies get in 2030 01:49:07,120 --> 01:49:08,760 Speaker 5: there and then the mag But the maggots do a 2031 01:49:08,840 --> 01:49:11,800 Speaker 5: really great job of cleaning up all of the I 2032 01:49:11,960 --> 01:49:13,960 Speaker 5: it's just all these weird things you saw life or 2033 01:49:14,000 --> 01:49:16,360 Speaker 5: death on the farm kind of stuff. And so those 2034 01:49:16,400 --> 01:49:18,720 Speaker 5: are all the images that were going through my head. 2035 01:49:18,840 --> 01:49:22,080 Speaker 5: And yeah, I think I have had everything else answered. 2036 01:49:24,040 --> 01:49:24,240 Speaker 2: Doug. 2037 01:49:24,360 --> 01:49:27,719 Speaker 1: You you're going on to speaking, you have some speaking 2038 01:49:27,760 --> 01:49:29,639 Speaker 1: engagements coming up. Where're gonna discuss screw? 2039 01:49:30,840 --> 01:49:32,640 Speaker 2: Well? I would try to. I'll tell you what I'm 2040 01:49:32,680 --> 01:49:33,400 Speaker 2: gonna try to work in. 2041 01:49:37,800 --> 01:49:38,240 Speaker 4: Repertoire. 2042 01:49:38,280 --> 01:49:39,439 Speaker 1: Yeah, where are you gonna speak? 2043 01:49:39,600 --> 01:49:43,120 Speaker 5: I'm doing some fun stuff. I will be at peasant 2044 01:49:43,160 --> 01:49:45,439 Speaker 5: Fest as I have been for the last several years, 2045 01:49:45,600 --> 01:49:48,960 Speaker 5: and talking on the Habitat stage about working with the 2046 01:49:49,000 --> 01:49:53,080 Speaker 5: Fish and Wildlife Service on a on a project and 2047 01:49:53,240 --> 01:49:56,479 Speaker 5: in our on our farm. And I'm also talking in 2048 01:49:56,640 --> 01:50:00,719 Speaker 5: the Path to the Upland stage about making a contribution 2049 01:50:00,840 --> 01:50:04,800 Speaker 5: to conservation and building a conservation resume. The other couple 2050 01:50:04,800 --> 01:50:07,000 Speaker 5: of talks are really, you know, kind of fun. One 2051 01:50:07,040 --> 01:50:11,920 Speaker 5: of them is all of the county conservationists in the 2052 01:50:12,040 --> 01:50:14,080 Speaker 5: state come together for a convention every year and then 2053 01:50:14,080 --> 01:50:15,479 Speaker 5: they bring in all these other people and I'm going 2054 01:50:15,560 --> 01:50:18,320 Speaker 5: to be the keynote speaker. They're talking about working with 2055 01:50:18,600 --> 01:50:27,560 Speaker 5: landowners to move conservation forward. And then in Northern Illinois 2056 01:50:28,120 --> 01:50:31,880 Speaker 5: a forestry association sort of the same idea that if 2057 01:50:31,880 --> 01:50:34,840 Speaker 5: we're going to do anything on a landscape level, we 2058 01:50:35,560 --> 01:50:38,360 Speaker 5: really need to involve private landowners and a great way 2059 01:50:38,400 --> 01:50:42,599 Speaker 5: to do that is through sharing the land and getting 2060 01:50:42,640 --> 01:50:45,639 Speaker 5: things done on private property like burns and that sort 2061 01:50:45,640 --> 01:50:47,519 Speaker 5: of stuff where you need a lot of people for 2062 01:50:47,560 --> 01:50:51,639 Speaker 5: a short period of time. That's one of the things 2063 01:50:51,640 --> 01:50:54,040 Speaker 5: that we're going to be talking about there, is getting 2064 01:50:54,120 --> 01:50:56,719 Speaker 5: people involved with conservation on private land. 2065 01:50:57,200 --> 01:50:59,240 Speaker 1: Do you have a way if people want to check in, 2066 01:51:01,040 --> 01:51:03,200 Speaker 1: if people want to track the activities of Bubbly Doug, 2067 01:51:03,240 --> 01:51:05,240 Speaker 1: where do they go to find out where you're going 2068 01:51:05,280 --> 01:51:06,240 Speaker 1: to be Someone wants to come. 2069 01:51:06,160 --> 01:51:09,200 Speaker 2: Meet you or hear you Sharing land dot com. 2070 01:51:10,800 --> 01:51:12,040 Speaker 1: And you'll have an events calendar. 2071 01:51:12,120 --> 01:51:14,360 Speaker 5: Yeah, there's an events calendar there. And and then on 2072 01:51:14,439 --> 01:51:18,360 Speaker 5: my website, Doug Duran dot com, there's an events calendar 2073 01:51:18,439 --> 01:51:21,840 Speaker 5: there too. You can follow me on Instagram and you know, 2074 01:51:22,120 --> 01:51:24,360 Speaker 5: ignore the stuff that you don't want to read about, 2075 01:51:24,439 --> 01:51:25,559 Speaker 5: and pay attention to. 2076 01:51:26,560 --> 01:51:29,000 Speaker 1: Pay attention to the stuff that you do, you know, 2077 01:51:31,000 --> 01:51:33,160 Speaker 1: and then where do people what's the best resource people 2078 01:51:33,200 --> 01:51:34,880 Speaker 1: that want to read up on screwworm. 2079 01:51:35,160 --> 01:51:38,439 Speaker 3: Yeah, so I guess a couple of things that the 2080 01:51:38,800 --> 01:51:42,120 Speaker 3: USDA and APHIS have done a really good job at 2081 01:51:42,200 --> 01:51:45,640 Speaker 3: kind of putting out a lot of really good resources 2082 01:51:45,760 --> 01:51:50,160 Speaker 3: kind of over time. And so if you just you know, Google, uh, screwerm, 2083 01:51:50,200 --> 01:51:53,320 Speaker 3: you'll end up finding some different some different resources there 2084 01:51:54,120 --> 01:51:57,240 Speaker 3: if you're kind of interested in what's going on in 2085 01:51:57,320 --> 01:52:00,559 Speaker 3: New Mexico specifically or in kind of some of these 2086 01:52:00,600 --> 01:52:05,040 Speaker 3: southern states. So you can go to my website, hovered. 2087 01:52:04,800 --> 01:52:06,200 Speaker 1: Lab dot com. Yeah, how'd you wrought up with a 2088 01:52:06,280 --> 01:52:07,559 Speaker 1: lab named after you? Yeah? 2089 01:52:08,320 --> 01:52:10,040 Speaker 3: So, well that's my last name. 2090 01:52:10,680 --> 01:52:13,880 Speaker 1: I got to so you founded the lab? Yes, because 2091 01:52:13,880 --> 01:52:16,040 Speaker 1: we have a guy on like Monteith he has he 2092 01:52:16,080 --> 01:52:19,200 Speaker 1: has his lab they called the Monteethe Shop. But yeah, like, yeah, 2093 01:52:19,320 --> 01:52:21,000 Speaker 1: he's a researcher that has his own shot. 2094 01:52:21,080 --> 01:52:23,600 Speaker 3: I will say that I'm just not creative, and so 2095 01:52:23,800 --> 01:52:25,200 Speaker 3: it was one of those things of it. 2096 01:52:25,400 --> 01:52:27,240 Speaker 1: But you founded I don't mean how'd you want? I 2097 01:52:27,400 --> 01:52:29,960 Speaker 1: mean why is named that? But you came in Yeah, yeah, 2098 01:52:30,000 --> 01:52:33,479 Speaker 1: so you came in and founded yeah, like an entomology lab. Correct. 2099 01:52:33,520 --> 01:52:33,680 Speaker 2: Yeah. 2100 01:52:33,720 --> 01:52:36,280 Speaker 3: So I got hired as an assistant professor at New 2101 01:52:36,320 --> 01:52:39,240 Speaker 3: Mexico State, and so part of my job is I'm 2102 01:52:39,400 --> 01:52:42,679 Speaker 3: seventy five percent research, and so with that was starting 2103 01:52:42,720 --> 01:52:46,760 Speaker 3: a lab to do different different projects. And so, you know, 2104 01:52:46,960 --> 01:52:51,520 Speaker 3: we do everything from scorpions Arizona bark scorpions to cockroaches 2105 01:52:51,600 --> 01:52:53,760 Speaker 3: to you know, we'll probably do some kissing bug work. 2106 01:52:53,840 --> 01:52:56,040 Speaker 3: We do a lot of house fly stuff. We're doing 2107 01:52:56,080 --> 01:52:57,160 Speaker 3: a bunch of screm stuff as well. 2108 01:52:57,200 --> 01:52:59,360 Speaker 1: How many grad students are floating in and around. 2109 01:52:59,160 --> 01:53:01,560 Speaker 3: Your Yeah, so so currently I've only been here a 2110 01:53:01,600 --> 01:53:04,160 Speaker 3: couple of months, and so I have my first uh 2111 01:53:04,920 --> 01:53:08,040 Speaker 3: student that's going to be starting here in about a year, 2112 01:53:08,120 --> 01:53:10,840 Speaker 3: but she's an excellent undergrad. I have a technician. I 2113 01:53:10,920 --> 01:53:13,000 Speaker 3: have a couple of undergrad so it's five or six 2114 01:53:13,040 --> 01:53:16,599 Speaker 3: of us. We're kind of expanding out currently. I will 2115 01:53:16,640 --> 01:53:19,680 Speaker 3: say that that's one thing that's fascinating is running a lab. 2116 01:53:19,680 --> 01:53:22,760 Speaker 3: If anyone hasn't talked about this, it's it's more like 2117 01:53:22,840 --> 01:53:25,080 Speaker 3: a business than I ever thought, because it's finding the 2118 01:53:25,160 --> 01:53:27,400 Speaker 3: money to pay these people. It's supervising them. It's kind 2119 01:53:27,439 --> 01:53:31,000 Speaker 3: of coming up with all that stuff. And so yeah, 2120 01:53:31,000 --> 01:53:32,560 Speaker 3: and so I got I got hired to kind of 2121 01:53:32,640 --> 01:53:35,840 Speaker 3: do a lot of just cool work and then screw 2122 01:53:35,920 --> 01:53:37,240 Speaker 3: Room kind of popped up and it's like, all right, 2123 01:53:37,240 --> 01:53:39,720 Speaker 3: that's where I'm gonna shift my focus at least for 2124 01:53:39,800 --> 01:53:44,000 Speaker 3: the time being. And so yeah, so Hubbard Lab dot com. 2125 01:53:45,240 --> 01:53:48,600 Speaker 3: On Instagram, it's NMSU Urban Entomology. 2126 01:53:49,600 --> 01:53:51,960 Speaker 1: You put in nasty, you put up nasty disease photos 2127 01:53:52,000 --> 01:53:52,200 Speaker 1: on there. 2128 01:53:52,320 --> 01:53:54,439 Speaker 3: So so we're kind of we're we're in that building 2129 01:53:54,520 --> 01:53:58,360 Speaker 3: stage currently where we're you know, I we're just gonna 2130 01:53:58,360 --> 01:53:59,840 Speaker 3: be talking about some of the projects and I but 2131 01:53:59,880 --> 01:54:02,040 Speaker 3: I think over time we probably will just kind of 2132 01:54:02,360 --> 01:54:06,439 Speaker 3: informational stuff about storm or or anything like that. And 2133 01:54:07,240 --> 01:54:09,599 Speaker 3: and so yeah, I will say though, if you're looking 2134 01:54:09,680 --> 01:54:14,600 Speaker 3: for specific information, you know, on what is directly going on. 2135 01:54:15,000 --> 01:54:17,960 Speaker 3: USDA kind of updates it on on cases that are 2136 01:54:17,960 --> 01:54:20,519 Speaker 3: currently going on. They keep it up to date weekly. 2137 01:54:21,120 --> 01:54:24,919 Speaker 3: APHIS does. And so there's a number of decent resources 2138 01:54:24,920 --> 01:54:26,679 Speaker 3: that I can provide some of the links and stuff 2139 01:54:26,720 --> 01:54:29,479 Speaker 3: like that if that's something that people want. I guess 2140 01:54:29,760 --> 01:54:31,280 Speaker 3: two of the other things that I would say though, 2141 01:54:31,800 --> 01:54:36,200 Speaker 3: is one the biggest thing that people can do is 2142 01:54:36,480 --> 01:54:39,840 Speaker 3: share this information, right, you know. I I've been asked like, 2143 01:54:39,960 --> 01:54:41,720 Speaker 3: all right, how can we prepare, how can we do 2144 01:54:41,800 --> 01:54:44,920 Speaker 3: anything like that? Just like anything, it's getting the information 2145 01:54:45,000 --> 01:54:48,839 Speaker 3: out there, because that's the that's the biggest thing, you know, South. 2146 01:54:48,680 --> 01:54:53,440 Speaker 1: Texas, correct, Southern New Mexico, southern Arizona, Presumealy, southern sorry, 2147 01:54:53,480 --> 01:54:54,200 Speaker 1: californ Yeah. 2148 01:54:54,200 --> 01:54:56,240 Speaker 3: And and so that's that's going to be one of 2149 01:54:56,280 --> 01:54:58,320 Speaker 3: these things. But it's important for everybody to know. You know, 2150 01:54:58,400 --> 01:55:01,800 Speaker 3: we we had imported cases in Maryland and a human 2151 01:55:01,920 --> 01:55:04,320 Speaker 3: you know, and so it's a uh yeah, and so 2152 01:55:04,480 --> 01:55:06,560 Speaker 3: that was that was a case. You'll you can look 2153 01:55:06,560 --> 01:55:08,960 Speaker 3: at the news headlines. It was maybe October or something 2154 01:55:09,000 --> 01:55:11,000 Speaker 3: like that. There's a guy that came back from an 2155 01:55:11,080 --> 01:55:13,680 Speaker 3: endemic country that had screw them like in his arm 2156 01:55:13,800 --> 01:55:16,840 Speaker 3: or something like that. Yes, it's great, man, but again 2157 01:55:17,040 --> 01:55:19,120 Speaker 3: it's a it's a concern, and so it's not just 2158 01:55:19,240 --> 01:55:21,720 Speaker 3: something that we should be focused in in southern New 2159 01:55:21,760 --> 01:55:25,360 Speaker 3: Mexico or or South Texas. And so getting that information 2160 01:55:25,440 --> 01:55:30,840 Speaker 3: out there hit the Florida keys, yeah and and again yeah, 2161 01:55:30,960 --> 01:55:34,440 Speaker 3: and and there may be I heard some rumbling that 2162 01:55:34,760 --> 01:55:38,480 Speaker 3: they actually figured it out. I from what I knew, 2163 01:55:39,640 --> 01:55:41,640 Speaker 3: they had never figured out exactly where it came from 2164 01:55:41,760 --> 01:55:44,280 Speaker 3: or how the incursion occurred, because it is it's kind 2165 01:55:44,320 --> 01:55:46,440 Speaker 3: of strange, just like popped up in the Florida Keys 2166 01:55:46,640 --> 01:55:49,000 Speaker 3: and then we didn't see it anywhere else. But it's 2167 01:55:49,280 --> 01:55:52,360 Speaker 3: just one of these things of getting out there, you know, talking. 2168 01:55:52,920 --> 01:55:54,640 Speaker 3: You know, we all elected a bunch of people, right, 2169 01:55:54,680 --> 01:55:56,480 Speaker 3: you know, and you know it's great you you had 2170 01:55:56,520 --> 01:55:59,960 Speaker 3: our senator in a couple of weeks ago, and I 2171 01:56:00,560 --> 01:56:03,040 Speaker 3: really enjoyed kind of listening to his philosophy when it 2172 01:56:03,080 --> 01:56:05,880 Speaker 3: comes to, you know, the outdoors and conservation and everything 2173 01:56:05,960 --> 01:56:08,200 Speaker 3: like that. But I think that it's important to communicate 2174 01:56:08,320 --> 01:56:11,720 Speaker 3: with our elected officials and tell them, hey, this isn't 2175 01:56:11,800 --> 01:56:15,880 Speaker 3: something that is just a concern for this group of people, 2176 01:56:16,000 --> 01:56:17,640 Speaker 3: or it's out of sight, it's out of mind because 2177 01:56:17,640 --> 01:56:21,240 Speaker 3: it's down in Mexico, you know. We you know, there's 2178 01:56:21,480 --> 01:56:24,400 Speaker 3: a saying that like parasites don't have borders, right, like 2179 01:56:24,680 --> 01:56:28,960 Speaker 3: they're just gonna hop right across, and so we need 2180 01:56:29,040 --> 01:56:31,000 Speaker 3: to be able to do that. And so communicating with 2181 01:56:31,080 --> 01:56:34,280 Speaker 3: your elected officials, even if it's not finding funding to 2182 01:56:35,320 --> 01:56:37,920 Speaker 3: fund some of the research or anything else like that. 2183 01:56:38,120 --> 01:56:40,320 Speaker 3: It's just saying, hey, this is something that's important to 2184 01:56:40,400 --> 01:56:44,400 Speaker 3: me or could be important. Yeah, And so I think 2185 01:56:44,440 --> 01:56:47,440 Speaker 3: that that's kind of the the big takeaways on finding 2186 01:56:47,480 --> 01:56:52,840 Speaker 3: information communicating that kind of overall. I guess two other 2187 01:56:52,920 --> 01:56:54,360 Speaker 3: things I guess I would say is, you know, if 2188 01:56:54,400 --> 01:56:59,080 Speaker 3: you want to support kind of our ongoing work, you can. 2189 01:56:59,560 --> 01:57:02,760 Speaker 3: You can donate on my website to kind of our efforts. 2190 01:57:02,880 --> 01:57:04,960 Speaker 3: If it's urban entomology, if it's screw worm, if it's 2191 01:57:04,960 --> 01:57:08,960 Speaker 3: anything like that, or there's just you know, there's it 2192 01:57:09,040 --> 01:57:10,480 Speaker 3: doesn't have to be me, there are lots of other 2193 01:57:10,520 --> 01:57:11,720 Speaker 3: people that are trying to do. 2194 01:57:12,840 --> 01:57:13,040 Speaker 1: Yeah. 2195 01:57:14,240 --> 01:57:16,960 Speaker 3: What it comes down to is, you know we're trying 2196 01:57:17,080 --> 01:57:19,720 Speaker 3: to especially in New Mexico, I will say, is that 2197 01:57:20,040 --> 01:57:24,160 Speaker 3: we're kind of you know, grassroots effort on trying to 2198 01:57:24,520 --> 01:57:27,480 Speaker 3: get out communicate. We don't have the backing like a 2199 01:57:27,520 --> 01:57:30,240 Speaker 3: state like Texas does. And that's something for me is 2200 01:57:30,320 --> 01:57:32,320 Speaker 3: that I don't want New Mexico to be left behind. 2201 01:57:33,160 --> 01:57:37,200 Speaker 3: And it in a lot of ways is just kind 2202 01:57:37,240 --> 01:57:40,520 Speaker 3: of like that that ug least sub child, right, And 2203 01:57:40,960 --> 01:57:43,080 Speaker 3: so I want to be able to advocate for the 2204 01:57:43,160 --> 01:57:45,960 Speaker 3: state and be able to put out as much good 2205 01:57:46,000 --> 01:57:48,920 Speaker 3: information and as much good research as any of the 2206 01:57:49,000 --> 01:57:53,360 Speaker 3: other you know, well funded and kind of backed states, 2207 01:57:53,520 --> 01:57:57,440 Speaker 3: you know, Texas and California. And so that's why I'm 2208 01:57:57,440 --> 01:58:00,560 Speaker 3: out spending my time communicating this because it's it's something 2209 01:58:00,640 --> 01:58:03,800 Speaker 3: that I may not be from New Mexico, but I 2210 01:58:04,080 --> 01:58:06,480 Speaker 3: call myself a New Mexican at this point. And so yes, 2211 01:58:06,560 --> 01:58:09,200 Speaker 3: I recognized I started the podcast by talking about, you know, 2212 01:58:09,640 --> 01:58:11,480 Speaker 3: New Mexico not being grated a lot of things. But 2213 01:58:11,840 --> 01:58:15,120 Speaker 3: my whole goal is to make sure that we we 2214 01:58:15,200 --> 01:58:18,560 Speaker 3: are prepared as we possibly can. And then the last 2215 01:58:18,560 --> 01:58:19,840 Speaker 3: thing is is that I do want to hear from 2216 01:58:19,880 --> 01:58:24,320 Speaker 3: people on their what their knowledge of screw them, how 2217 01:58:24,360 --> 01:58:28,280 Speaker 3: concerned they are. Because one thing that we want to 2218 01:58:28,360 --> 01:58:32,120 Speaker 3: be able to do is develop educational material, and you know, 2219 01:58:32,480 --> 01:58:35,560 Speaker 3: material that will resonate with people, if it's producers, if 2220 01:58:35,560 --> 01:58:38,160 Speaker 3: it's hunters, if it's the general public. And we can't 2221 01:58:38,160 --> 01:58:41,040 Speaker 3: get that without feedback and so get early detection exactly, 2222 01:58:41,320 --> 01:58:42,680 Speaker 3: and because that's going to be that that's going to 2223 01:58:42,720 --> 01:58:44,480 Speaker 3: be the biggest thing is to buy in, right, we 2224 01:58:44,560 --> 01:58:47,840 Speaker 3: need to get people to buy in. And if it's cattle, producers. Well, 2225 01:58:47,880 --> 01:58:50,160 Speaker 3: we need to get cattle producers to report it. Cattle 2226 01:58:50,200 --> 01:58:52,080 Speaker 3: prices are super high, is a cattle producer are going 2227 01:58:52,120 --> 01:58:53,560 Speaker 3: to want to say, hey, I have this thing and 2228 01:58:53,600 --> 01:58:56,560 Speaker 3: they can't move their animals, you know, And so that's 2229 01:58:56,600 --> 01:59:01,440 Speaker 3: where getting hunters involved, you know, explaining to cattle producers, hey, 2230 01:59:01,560 --> 01:59:04,880 Speaker 3: this is this. We recognize that, you know a lot 2231 01:59:04,920 --> 01:59:08,720 Speaker 3: of people have echoes of the way that the most 2232 01:59:08,800 --> 01:59:11,160 Speaker 3: recent pandemic was kind of handled. And you can have 2233 01:59:11,320 --> 01:59:14,080 Speaker 3: your own opinions on how that was handled, but that's 2234 01:59:14,200 --> 01:59:16,440 Speaker 3: not the goal here is to kind of it. It 2235 01:59:16,600 --> 01:59:19,560 Speaker 3: is to control it and then let's get back to normal. 2236 01:59:19,720 --> 01:59:23,760 Speaker 3: And there's a lot of I think learning that can 2237 01:59:23,840 --> 01:59:26,800 Speaker 3: be taken from how we handled COVID. And I know 2238 01:59:26,920 --> 01:59:29,160 Speaker 3: that the government is kind of taking you know, the 2239 01:59:29,200 --> 01:59:31,360 Speaker 3: government doesn't do a good job at taking opinions. But 2240 01:59:31,520 --> 01:59:34,080 Speaker 3: I will say from the meetings I've been and people 2241 01:59:34,840 --> 01:59:38,320 Speaker 3: are recognizing, hey, let's not do what we did before 2242 01:59:38,400 --> 01:59:40,200 Speaker 3: if and when it gets here, and so let's. 2243 01:59:40,000 --> 01:59:43,080 Speaker 1: Listen to people exactly and a diverse set of viewpoints. 2244 01:59:43,160 --> 01:59:45,440 Speaker 3: Yeah, And that's where it comes down to getting that 2245 01:59:45,520 --> 01:59:48,560 Speaker 3: information from people of Hey, I want to know if 2246 01:59:48,640 --> 01:59:50,560 Speaker 3: you don't care at all. You know, It's like there 2247 01:59:50,600 --> 01:59:53,320 Speaker 3: are some people that aren't concerned about CWD, right, and 2248 01:59:53,960 --> 01:59:56,680 Speaker 3: so with something like that, I want to hear from 2249 01:59:56,800 --> 01:59:59,760 Speaker 3: people and see where they're concerned. Is because if I'm 2250 02:00:00,000 --> 02:00:02,520 Speaker 3: I'm employed and I paid by the taxpayers in New Mexico, 2251 02:00:02,640 --> 02:00:05,120 Speaker 3: so I am here to answer to them and to 2252 02:00:05,280 --> 02:00:07,040 Speaker 3: develop information for them. 2253 02:00:08,480 --> 02:00:14,200 Speaker 1: Overall. Yeah, Okay, Caleb Hubbard veterinarian entomologists, the first one 2254 02:00:14,240 --> 02:00:19,480 Speaker 1: we've ever had on the show. Maybe the last, maybe 2255 02:00:19,680 --> 02:00:21,560 Speaker 1: not because you did a bad jockey. Well, we're gonna 2256 02:00:21,560 --> 02:00:24,520 Speaker 1: switch to a forensic entomologist from there. 2257 02:00:24,600 --> 02:00:27,240 Speaker 3: I will say. Jeff Do is kind of a combination 2258 02:00:27,360 --> 02:00:29,879 Speaker 3: of everything. He does forensics, he does in veterinary entomology. 2259 02:00:30,800 --> 02:00:34,880 Speaker 1: So not not the last. Yeah, potentially veteran. Yeah, it's 2260 02:00:34,920 --> 02:00:36,720 Speaker 1: just we've been at it a long time. Yeah, we've 2261 02:00:36,760 --> 02:00:39,920 Speaker 1: only had one Unlos statistics man. Yeah, you know what 2262 02:00:39,960 --> 02:00:40,920 Speaker 1: I mean, what are the odds? 2263 02:00:41,040 --> 02:00:45,120 Speaker 3: Yeah, well, you know you had doctor Schmidt, you know, 2264 02:00:45,160 --> 02:00:49,280 Speaker 3: with the pain index and everything. Yeah, you had you 2265 02:00:49,320 --> 02:00:49,800 Speaker 3: had one another. 2266 02:00:50,360 --> 02:00:52,560 Speaker 1: You don't know, No one knows if we didn't talk 2267 02:00:52,560 --> 02:00:54,440 Speaker 1: about it. We also had a guest on who happens 2268 02:00:54,480 --> 02:00:57,160 Speaker 1: to be an aquatic entomologist, but he wasn't there to 2269 02:00:57,280 --> 02:00:59,920 Speaker 1: talk about that, Okay, so let me read redo it. 2270 02:01:01,120 --> 02:01:06,680 Speaker 1: Doctor Caleb Hubbard one of many entomologists you have heard 2271 02:01:06,760 --> 02:01:10,600 Speaker 1: from and we'll hear from on the Medeor podcast. Of 2272 02:01:10,720 --> 02:01:13,120 Speaker 1: that you can't so many entomologists can't keep them straight. 2273 02:01:14,080 --> 02:01:19,080 Speaker 1: From the Hubbard Entomology Lab at New Mexico State University 2274 02:01:19,600 --> 02:01:23,560 Speaker 1: and also the beautiful and lovely Doug Durrent. Thanks for 2275 02:01:23,640 --> 02:01:23,960 Speaker 1: joining me.