1 00:00:01,040 --> 00:00:03,320 Speaker 1: How to everyone. It's Chuck here on Saturday. I thought 2 00:00:03,360 --> 00:00:07,400 Speaker 1: I would brighten everybody's day with this selection from June thirteenth, 3 00:00:07,640 --> 00:00:12,440 Speaker 1: twenty seventeen. How the Beagle Brigade works. Oh boy, just 4 00:00:12,520 --> 00:00:21,079 Speaker 1: get ready for cute overload. Welcome to Stuff you Should Know, 5 00:00:21,440 --> 00:00:28,520 Speaker 1: a production of iHeartRadio. 6 00:00:29,400 --> 00:00:32,519 Speaker 2: Hey, and welcome to the podcast. I'm Josh close Ark, 7 00:00:33,080 --> 00:00:38,120 Speaker 2: There's Charles w Chuck Bryant, Jerry Jerum Rowland's over there. 8 00:00:38,280 --> 00:00:41,840 Speaker 2: So this is Stuff you should know, the Beagle Brigade edition. 9 00:00:44,800 --> 00:00:53,840 Speaker 1: Yes, another I guess we covered drug sniffers, yeah, but 10 00:00:54,080 --> 00:00:56,600 Speaker 1: not or did we do Seeing Eye Dogs as well? 11 00:00:57,400 --> 00:01:00,160 Speaker 2: We did, remember, because Seeing Eye Dogs is actually your 12 00:01:00,200 --> 00:01:03,760 Speaker 2: brand name. It's one of those oh like a band aid, yeah, 13 00:01:03,960 --> 00:01:07,679 Speaker 2: Kleenex or something. That one was that was a great one. 14 00:01:08,040 --> 00:01:11,720 Speaker 1: Yeah. So I mean, is this the last job that 15 00:01:11,800 --> 00:01:12,280 Speaker 1: dogs have? 16 00:01:12,959 --> 00:01:16,480 Speaker 2: And we we didn't cover dogs that serve as pack animals. 17 00:01:16,160 --> 00:01:19,600 Speaker 1: Yet, so oh that's right, yeah, like herders. 18 00:01:19,560 --> 00:01:22,520 Speaker 2: Yeah, that'd be good. Are lumberjack dogs. 19 00:01:22,760 --> 00:01:27,520 Speaker 1: Oh that's true, that's right. Or dogs that are sous chefs. 20 00:01:28,480 --> 00:01:31,199 Speaker 2: Right. So yeah, we've got a big, big long suite coming. 21 00:01:31,360 --> 00:01:32,080 Speaker 1: I thought it was done. 22 00:01:32,120 --> 00:01:35,960 Speaker 2: Sorry, no, no, but this one might be the most 23 00:01:35,959 --> 00:01:37,119 Speaker 2: adorable of all of them. 24 00:01:37,400 --> 00:01:40,360 Speaker 1: Yeah, and this one was. I was always confused. I 25 00:01:40,360 --> 00:01:44,120 Speaker 1: always thought the beagles at the airport because as you 26 00:01:44,120 --> 00:01:49,880 Speaker 1: will learn, Atlanta is they're they're trained here outside of Atlanta. 27 00:01:50,760 --> 00:01:53,400 Speaker 1: But I thought that that the beagles were. I just 28 00:01:53,440 --> 00:01:58,400 Speaker 1: thought they were drug sniffers, really did everything sniffers. 29 00:01:58,640 --> 00:02:01,480 Speaker 2: Oh I see. No, you could have a big old 30 00:02:01,560 --> 00:02:03,960 Speaker 2: suitcase full of cocaine and walk right past that. 31 00:02:04,000 --> 00:02:07,320 Speaker 1: Dog and be like, well, that's good to know, you know. 32 00:02:07,640 --> 00:02:11,320 Speaker 2: Sure for the next time you're smuggling cocaine suitcase. Yeah, 33 00:02:11,360 --> 00:02:13,840 Speaker 2: once you make a past a beagle, you're home free. 34 00:02:14,440 --> 00:02:16,119 Speaker 1: But don't have a head of lettuce. 35 00:02:17,080 --> 00:02:20,840 Speaker 2: No, because those beagles will pounce on your neck and 36 00:02:20,919 --> 00:02:23,320 Speaker 2: chew your throat out. Or don't have that train to do. 37 00:02:23,320 --> 00:02:27,720 Speaker 1: Don't have a whole hog. Can you believe that story? 38 00:02:28,240 --> 00:02:28,720 Speaker 2: Totally? 39 00:02:29,520 --> 00:02:32,120 Speaker 1: So this one was, uh, I think it was in 40 00:02:32,160 --> 00:02:35,560 Speaker 1: Atlanta at Hartsfield Jackson Airport. 41 00:02:36,040 --> 00:02:36,440 Speaker 2: Yeah. 42 00:02:36,480 --> 00:02:39,880 Speaker 1: And there was a woman traveling from Peru to the 43 00:02:40,000 --> 00:02:45,400 Speaker 1: United States with a roasted pig, an entire roasted pig 44 00:02:45,800 --> 00:02:49,000 Speaker 1: in her bag, and I mean it was very sweet. 45 00:02:49,000 --> 00:02:51,680 Speaker 1: You know, she was just trying to bring home a 46 00:02:51,720 --> 00:02:53,600 Speaker 1: holiday meal for her family. 47 00:02:53,919 --> 00:02:55,440 Speaker 2: Yeah, it was Thanksgiving, I think right. 48 00:02:55,520 --> 00:02:59,040 Speaker 1: Yeah, she smuggled in a roasted pig. Yeah, and it 49 00:02:59,080 --> 00:03:00,760 Speaker 1: was a little little you know, it was big. 50 00:03:01,680 --> 00:03:03,800 Speaker 2: Well, they have pigs tend to be. I mean, it 51 00:03:03,840 --> 00:03:06,680 Speaker 2: didn't say a suckling pig, A pig. I assumed it 52 00:03:06,720 --> 00:03:07,960 Speaker 2: was a big old pig. 53 00:03:08,080 --> 00:03:09,079 Speaker 1: No, it was a picture of it. 54 00:03:09,639 --> 00:03:11,640 Speaker 2: Oh yeah, that's right, but it was. It was a 55 00:03:11,639 --> 00:03:12,320 Speaker 2: good sized pig. 56 00:03:12,440 --> 00:03:16,600 Speaker 1: Yeah. The guy Rob Brisley, public affairs officer, said the 57 00:03:16,680 --> 00:03:19,760 Speaker 1: right steps had to be taken to confiscate and destroy 58 00:03:19,840 --> 00:03:22,720 Speaker 1: the item, and then the Senate stopped. But I imagine 59 00:03:22,760 --> 00:03:23,680 Speaker 1: he said, with our. 60 00:03:23,639 --> 00:03:28,000 Speaker 2: Mouths right, with extreme vengeance. 61 00:03:28,919 --> 00:03:31,000 Speaker 1: So anyway, I mean that's just one example. 62 00:03:31,320 --> 00:03:33,760 Speaker 2: Yeah, we should we should probably say exactly what we're 63 00:03:33,760 --> 00:03:35,800 Speaker 2: talking about for those people who haven't been to an 64 00:03:35,800 --> 00:03:40,320 Speaker 2: international airport in the United States. But there is a 65 00:03:40,400 --> 00:03:44,600 Speaker 2: group of working dogs that are exclusively beagles, hence the 66 00:03:44,680 --> 00:03:47,720 Speaker 2: name the Beagle Brigade from what I understand, although I 67 00:03:47,760 --> 00:03:50,240 Speaker 2: did see reference that they do use labs sometimes, but 68 00:03:50,960 --> 00:03:55,160 Speaker 2: I'm pretty sure it's almost exclusively beagles, if not exclusively beagles. 69 00:03:55,160 --> 00:03:59,040 Speaker 2: And these dogs have a job. They're actually federal agents 70 00:03:59,640 --> 00:04:03,840 Speaker 2: with the the U. S d A, the Department of Agriculture, 71 00:04:05,080 --> 00:04:09,240 Speaker 2: no or not the DEA either, but their federal their 72 00:04:09,280 --> 00:04:12,280 Speaker 2: federal agents, and they are their whole job is to 73 00:04:12,400 --> 00:04:17,360 Speaker 2: sniff out agricultural products. And the whole point of all 74 00:04:17,400 --> 00:04:22,000 Speaker 2: of this is that the US has a pretty extensive 75 00:04:22,279 --> 00:04:28,799 Speaker 2: agriculture infrastructure, right, And if something comes through, say that's 76 00:04:28,880 --> 00:04:35,400 Speaker 2: a pest, right, like a bug that eats what do 77 00:04:35,480 --> 00:04:40,320 Speaker 2: we grow here, cotton, cotton, weavil, but from another country, right, 78 00:04:40,960 --> 00:04:45,080 Speaker 2: So a non native pest or non native plant, or 79 00:04:46,000 --> 00:04:51,960 Speaker 2: diseased bat, it could wreak havoc not just on our 80 00:04:52,000 --> 00:04:54,440 Speaker 2: agriculture system, but if if the wrong kind of thing 81 00:04:54,480 --> 00:04:57,920 Speaker 2: comes through, Like there's there's procedures in place for for 82 00:04:58,040 --> 00:05:00,680 Speaker 2: food to come in the United States, you supposed to 83 00:05:00,720 --> 00:05:04,240 Speaker 2: carry it in your luggage because it has to be inspected, 84 00:05:04,279 --> 00:05:06,359 Speaker 2: it has to come from a trusted source. We have 85 00:05:06,440 --> 00:05:08,960 Speaker 2: to know that it doesn't have something like hoof and 86 00:05:09,040 --> 00:05:12,680 Speaker 2: mouth disease or ebola or something like that. Right. 87 00:05:13,400 --> 00:05:15,400 Speaker 1: Yeah, I mean it says in here in our own 88 00:05:15,520 --> 00:05:18,680 Speaker 1: article that it's a one trillion dollar industry, our own 89 00:05:19,320 --> 00:05:24,960 Speaker 1: agricultural agricultural product industry, right, And that's import, export, eating it, 90 00:05:25,120 --> 00:05:31,040 Speaker 1: producing it. An invasive species can be one hundred. It 91 00:05:31,040 --> 00:05:33,680 Speaker 1: says about one hundred and thirty six billion dollars in 92 00:05:33,800 --> 00:05:39,720 Speaker 1: agricultural lost revenue? Is that annually? I believe so, man, So, 93 00:05:39,960 --> 00:05:43,200 Speaker 1: I mean, that's that's a lot of economy at stake here, 94 00:05:43,240 --> 00:05:44,599 Speaker 1: So they take it very seriously. 95 00:05:45,000 --> 00:05:48,440 Speaker 2: Right, So there's this group, So the USTA, the Department 96 00:05:48,480 --> 00:05:54,120 Speaker 2: of Agriculture here in the US has a subgroup called APHIS, 97 00:05:54,560 --> 00:05:59,640 Speaker 2: which is the Animal, Plant, Animal and Plant Health Inspection 98 00:05:59,760 --> 00:06:02,680 Speaker 2: serve this and they're the ones who are tasked with 99 00:06:02,800 --> 00:06:08,920 Speaker 2: basically creating this virtual border, this virtual barrier to stuff 100 00:06:09,000 --> 00:06:12,480 Speaker 2: coming in the US to protect agriculture in the US. 101 00:06:12,600 --> 00:06:16,960 Speaker 1: Right, Yeah, like the notorious Romanian cotton weavil. 102 00:06:17,200 --> 00:06:22,760 Speaker 2: Right exactly the most insidious of all, and specifically at 103 00:06:22,839 --> 00:06:28,760 Speaker 2: international airports, working in conjunction with the Customs Bureau CPB 104 00:06:29,560 --> 00:06:33,400 Speaker 2: Customs and no CBP, right, customs and border patrol. You've 105 00:06:33,440 --> 00:06:36,880 Speaker 2: got these cute, adorable little beagles who are trained to 106 00:06:36,960 --> 00:06:40,080 Speaker 2: sniff this stuff out from people who are trying to 107 00:06:40,120 --> 00:06:42,880 Speaker 2: smuggle whole pigs into the into the country when they're 108 00:06:42,920 --> 00:06:43,520 Speaker 2: not supposed to. 109 00:06:43,520 --> 00:06:48,919 Speaker 1: God bless that lady. I felt bad for you know, Yeah, 110 00:06:49,080 --> 00:06:51,800 Speaker 1: I mean I get it, sure, but you know. 111 00:06:51,880 --> 00:06:56,280 Speaker 2: I mean, there's no way she did not cry when 112 00:06:56,320 --> 00:07:00,000 Speaker 2: the agriculture inspector took her whole pig She's going to 113 00:07:00,080 --> 00:07:01,000 Speaker 2: feed to her family. 114 00:07:01,160 --> 00:07:02,080 Speaker 1: What a waste of food. 115 00:07:02,839 --> 00:07:04,520 Speaker 2: She worked so hard on that chuck. 116 00:07:04,720 --> 00:07:09,200 Speaker 1: I know, it might have been like her favorite family 117 00:07:09,240 --> 00:07:11,000 Speaker 1: pig that she was waiting. 118 00:07:11,720 --> 00:07:15,280 Speaker 2: It was babe. Babe gave his life. 119 00:07:16,920 --> 00:07:19,040 Speaker 1: So you want to talk a little bit about these 120 00:07:19,560 --> 00:07:25,280 Speaker 1: the history here, because it did not agricultural agriculture dogs 121 00:07:26,200 --> 00:07:29,680 Speaker 1: or agricultural detection did not start in the US. It 122 00:07:29,680 --> 00:07:34,160 Speaker 1: actually started in Mexico. Yeah, I guess was probably the 123 00:07:34,160 --> 00:07:34,960 Speaker 1: early seventies. 124 00:07:35,720 --> 00:07:38,640 Speaker 2: I could not find when it started, but yeah, we 125 00:07:38,720 --> 00:07:41,560 Speaker 2: know it's definitely prior to the seventies because based on this, 126 00:07:42,040 --> 00:07:45,480 Speaker 2: I guess it was a USDA training manual that was 127 00:07:45,640 --> 00:07:49,160 Speaker 2: referencing it. It picks up then in the late seventies 128 00:07:49,200 --> 00:07:50,840 Speaker 2: that the USDA started this. 129 00:07:51,560 --> 00:07:54,400 Speaker 1: Yeah, and then up until nineteen eighty three, we used 130 00:07:55,520 --> 00:07:58,280 Speaker 1: we use big dogs, you know, like typically and I 131 00:07:58,280 --> 00:07:59,880 Speaker 1: think we covered this in a lot of the other 132 00:08:00,200 --> 00:08:04,520 Speaker 1: like drug sniffers like German shepherds and labs are certainly good, 133 00:08:04,920 --> 00:08:09,160 Speaker 1: but they are labs aren't so intimidating, but German shepherds 134 00:08:09,200 --> 00:08:10,880 Speaker 1: can be, even though I love them, I grew up 135 00:08:10,920 --> 00:08:13,840 Speaker 1: with them. Sure, a lot of people the side of 136 00:08:13,840 --> 00:08:17,360 Speaker 1: a German shepherd coming at them in an airport is 137 00:08:17,400 --> 00:08:18,120 Speaker 1: a little scary. 138 00:08:18,680 --> 00:08:21,560 Speaker 2: Yeah. I mean some people have sinophobia, which is a 139 00:08:21,560 --> 00:08:25,080 Speaker 2: fear of dogs specifically, in which case even the smallest 140 00:08:25,080 --> 00:08:28,360 Speaker 2: dogs going to scare you. But even people who don't 141 00:08:28,360 --> 00:08:30,720 Speaker 2: have an actual phobia dogs aren't going to be scared 142 00:08:30,760 --> 00:08:34,160 Speaker 2: of certain breeds, and that definitely includes German shepherds for sure. 143 00:08:34,559 --> 00:08:38,040 Speaker 1: So it started in Mexico and then finally in nineteen 144 00:08:38,080 --> 00:08:44,240 Speaker 1: eighty four, the USA USDA started at lax Started, which 145 00:08:44,280 --> 00:08:46,480 Speaker 1: is probably a pretty good airport to pick for a 146 00:08:46,480 --> 00:08:51,760 Speaker 1: pilot program. Yeah, not a airplane pilot program, although I'm 147 00:08:51,760 --> 00:08:53,520 Speaker 1: sure they had those. Yeah. 148 00:08:53,559 --> 00:08:57,200 Speaker 2: Did you hear about the King of the Netherlands. Uh. 149 00:08:57,800 --> 00:09:02,319 Speaker 2: They found out that he has been secretly undercover moonlighting 150 00:09:02,720 --> 00:09:06,480 Speaker 2: as a KLM airline pilot for fun for like the 151 00:09:06,559 --> 00:09:10,199 Speaker 2: last like once a week, for like the last twenty something. 152 00:09:10,000 --> 00:09:11,280 Speaker 1: Years, and has been flying. 153 00:09:11,800 --> 00:09:13,760 Speaker 2: Yeah he's Yeah, that's what I'm saying, Like he's been 154 00:09:13,880 --> 00:09:18,560 Speaker 2: undercover flying, not as the King of the Netherlands, just 155 00:09:18,600 --> 00:09:19,960 Speaker 2: trying to have a life of his own. 156 00:09:20,040 --> 00:09:23,400 Speaker 1: I thought, you meant, like Leo DiCaprio, didn't catch me 157 00:09:23,440 --> 00:09:25,240 Speaker 1: if you can. He just pretended to be a pilot. 158 00:09:25,320 --> 00:09:28,160 Speaker 1: Oh no, geta and fake checks. 159 00:09:28,520 --> 00:09:30,400 Speaker 2: You're a king, you can't be a pilot. 160 00:09:30,640 --> 00:09:33,240 Speaker 1: Wow. So was he did he come clean or was 161 00:09:33,280 --> 00:09:33,720 Speaker 1: he outed? 162 00:09:34,400 --> 00:09:36,320 Speaker 2: I guess he was outed. And he said from time 163 00:09:36,360 --> 00:09:38,800 Speaker 2: to time somebody would recognize him, but he'd just have 164 00:09:38,960 --> 00:09:45,480 Speaker 2: them kidnapped. Yeah, kidnapped and killed rendered extraordinarily. 165 00:09:45,640 --> 00:09:48,600 Speaker 1: Wow, that's pretty crazy. Yeah, well, good for him. Yeah, 166 00:09:48,679 --> 00:09:50,040 Speaker 1: they should just let him fly, you. 167 00:09:49,960 --> 00:09:52,400 Speaker 2: Know, I think, I think so. They're going to work 168 00:09:52,440 --> 00:09:55,320 Speaker 2: it out, probably, I hope. So if not, that guy's 169 00:09:55,520 --> 00:09:58,880 Speaker 2: one outlet has been taken away from. 170 00:09:58,040 --> 00:10:01,640 Speaker 1: Well, so his pilot PROGRAMM did is maybe failing. But 171 00:10:01,679 --> 00:10:06,760 Speaker 1: the pilot program in nineteen eighty four LAX worked great. 172 00:10:06,920 --> 00:10:10,400 Speaker 1: And they this is a big deal at the time too. 173 00:10:10,440 --> 00:10:14,199 Speaker 1: It was a big change from any kind of detection 174 00:10:14,320 --> 00:10:16,280 Speaker 1: programs that they had at the time. I don't know 175 00:10:17,160 --> 00:10:20,040 Speaker 1: why it took that long, but because dogs are you know, 176 00:10:20,120 --> 00:10:24,360 Speaker 1: obviously well known sniffers to the tune of I mean, 177 00:10:24,360 --> 00:10:29,920 Speaker 1: compared to humans, how many millions of old factory nerves 178 00:10:29,920 --> 00:10:30,440 Speaker 1: the dogs have. 179 00:10:30,480 --> 00:10:35,000 Speaker 2: I know it varies, so somewhere somewhere in the middle 180 00:10:35,120 --> 00:10:38,199 Speaker 2: is the docs and I didn't see the beagles specifically, 181 00:10:38,480 --> 00:10:41,520 Speaker 2: but supposedly beagles are about average as far as scenting goes, 182 00:10:41,559 --> 00:10:44,360 Speaker 2: which is surprising to me. But the docs and has 183 00:10:44,400 --> 00:10:48,560 Speaker 2: one hundred and twenty five million olfactory receptors amazing, and 184 00:10:48,679 --> 00:10:50,719 Speaker 2: humans have five million on average. 185 00:10:51,000 --> 00:10:53,400 Speaker 1: And I know the dogs even the size of their 186 00:10:53,440 --> 00:10:56,480 Speaker 1: nose can make a difference. So I was a little 187 00:10:56,480 --> 00:10:59,200 Speaker 1: surprised they picked beagles. But one of the big reasons 188 00:10:59,280 --> 00:11:03,440 Speaker 1: is a the Navy had used them previously to great success. 189 00:11:03,600 --> 00:11:06,960 Speaker 1: And be like you said, you know, they're they're little, 190 00:11:07,040 --> 00:11:09,720 Speaker 1: they're cute, so they're not going to scare anyone at 191 00:11:09,720 --> 00:11:13,240 Speaker 1: the airport. Uh, And they can. They're agile. They're because 192 00:11:13,240 --> 00:11:16,160 Speaker 1: they're small, and they can jump around on a conveyor 193 00:11:16,200 --> 00:11:20,760 Speaker 1: belt like nobody's business. Yeah, to find that Romanian cotton weavil. 194 00:11:21,200 --> 00:11:25,040 Speaker 2: Right, Sometimes they'll find just enough fruit that they'll make 195 00:11:25,080 --> 00:11:28,240 Speaker 2: a little head dress out of it, like Carmen Miranda. Yeah, 196 00:11:28,360 --> 00:11:30,920 Speaker 2: nothing cute, that's a a beagel in one of those. 197 00:11:33,360 --> 00:11:35,160 Speaker 1: Well. The other cool thing about the dogs and there 198 00:11:35,160 --> 00:11:41,800 Speaker 1: their sniffing abilities is uh, it's like you can't disguise 199 00:11:41,880 --> 00:11:44,920 Speaker 1: something like if you if you have of course, uh 200 00:11:45,000 --> 00:11:46,800 Speaker 1: I was about to say drugs again. But if you have, 201 00:11:46,920 --> 00:11:49,240 Speaker 1: Let's say you want to sneak in that cotton weavil okay, 202 00:11:49,360 --> 00:11:50,679 Speaker 1: and you think I'm going to hide in and a 203 00:11:50,760 --> 00:11:54,000 Speaker 1: can of coffee. Actually that might be you might not 204 00:11:54,000 --> 00:11:55,520 Speaker 1: be able to bring in coffee either, now that I 205 00:11:55,520 --> 00:11:57,480 Speaker 1: think about it. I was just trying to think of 206 00:11:57,520 --> 00:11:58,800 Speaker 1: something with a strong odor. 207 00:12:00,040 --> 00:12:00,960 Speaker 2: Bottle of perfume. 208 00:12:01,320 --> 00:12:04,760 Speaker 1: Okay. The dog will be able to pick that out 209 00:12:04,800 --> 00:12:09,680 Speaker 1: of that perfume, right, will be able to almost geolocate it, 210 00:12:10,080 --> 00:12:12,640 Speaker 1: because they don't they don't get confused like we do. 211 00:12:13,240 --> 00:12:15,880 Speaker 2: Yeah, so you know how like a dog can when 212 00:12:15,960 --> 00:12:17,800 Speaker 2: you when you watch a dog on a scent, it's 213 00:12:17,800 --> 00:12:20,800 Speaker 2: just kind of like sniffing back and forth in the 214 00:12:20,840 --> 00:12:24,240 Speaker 2: air as it moves. So what it's doing is it's 215 00:12:24,320 --> 00:12:27,320 Speaker 2: basically the same thing with our vision. Right, the information 216 00:12:27,440 --> 00:12:30,040 Speaker 2: is getting from one nostril and the other nostril, its 217 00:12:30,080 --> 00:12:32,959 Speaker 2: brain is putting together to create basically like a three 218 00:12:33,040 --> 00:12:35,920 Speaker 2: D map of where that smell is coming from, just 219 00:12:36,000 --> 00:12:41,400 Speaker 2: like the information from one eye compared to the information 220 00:12:41,440 --> 00:12:44,439 Speaker 2: coming into our other eye gives us an idea of 221 00:12:44,520 --> 00:12:47,960 Speaker 2: like depth, right, or perspective, that kind of thing. So 222 00:12:48,000 --> 00:12:50,760 Speaker 2: it's basically the same thing, but with their old factory sense. 223 00:12:52,120 --> 00:12:55,880 Speaker 2: And put on top of that is the fact that 224 00:12:56,080 --> 00:13:01,199 Speaker 2: they can distinguish sense. Like this article this USDA Manuel said, 225 00:13:01,400 --> 00:13:05,240 Speaker 2: when you walk into a kitchen and you smell chili, 226 00:13:05,800 --> 00:13:09,200 Speaker 2: you smell chili, right, chili's cooking. Put it all together, 227 00:13:09,200 --> 00:13:11,440 Speaker 2: it's chili. That's how you smell. Is the sum of 228 00:13:11,480 --> 00:13:12,160 Speaker 2: all the parts. 229 00:13:12,240 --> 00:13:14,160 Speaker 1: Yeah, you know, if you're good, you might be able 230 00:13:14,200 --> 00:13:15,440 Speaker 1: to pick out a thing or two. 231 00:13:15,600 --> 00:13:20,120 Speaker 2: Maybe, like you know, like do I detect Yeah, some cuman. 232 00:13:21,240 --> 00:13:24,920 Speaker 2: But a dog will walk in there and smell every 233 00:13:24,960 --> 00:13:28,280 Speaker 2: single one of the ingredients separately, right, Which is why 234 00:13:28,320 --> 00:13:30,800 Speaker 2: you can't just take something and try to overpower the 235 00:13:30,840 --> 00:13:33,120 Speaker 2: smell of it with something else. The dog will smell 236 00:13:33,160 --> 00:13:35,160 Speaker 2: the thing that you're using to try to overpower it with, 237 00:13:35,600 --> 00:13:39,320 Speaker 2: but it'll also smell the other scent. Apparently they can 238 00:13:39,360 --> 00:13:43,120 Speaker 2: smell this thing says they can smell table salt in 239 00:13:43,160 --> 00:13:47,000 Speaker 2: a dilution of one part to ten million parts. 240 00:13:47,320 --> 00:13:48,000 Speaker 1: That's amazing. 241 00:13:48,440 --> 00:13:49,200 Speaker 2: Isn't that crazy? 242 00:13:49,320 --> 00:13:51,480 Speaker 1: That is crazy. That's also why if you've ever taken 243 00:13:51,520 --> 00:13:55,840 Speaker 1: your dog to a new like a new really new 244 00:13:56,040 --> 00:13:59,439 Speaker 1: environment that they've never been to, like the beach, for instance, 245 00:13:59,440 --> 00:14:01,920 Speaker 1: when I took and I think a couple of years ago, 246 00:14:02,040 --> 00:14:06,120 Speaker 1: we did a beach vacation and took our dogs and 247 00:14:06,160 --> 00:14:08,400 Speaker 1: they were going crazy, Like we walked them down to 248 00:14:08,440 --> 00:14:11,160 Speaker 1: the beach and it was just nose in the air 249 00:14:11,360 --> 00:14:13,400 Speaker 1: because you know, there's always a good breeze or usually 250 00:14:13,440 --> 00:14:16,040 Speaker 1: a good breeze on the beach, and I can imagine 251 00:14:16,040 --> 00:14:18,800 Speaker 1: they were just they were smelling these just hundreds and 252 00:14:18,880 --> 00:14:22,480 Speaker 1: hundreds of things that they'd never smelled before. Yeah, And 253 00:14:22,520 --> 00:14:24,040 Speaker 1: it's pretty neat to see, and you kind of wonder 254 00:14:24,080 --> 00:14:26,640 Speaker 1: what's going on in that lunkhead of theirs, you know, 255 00:14:27,000 --> 00:14:30,320 Speaker 1: m in my case, one luckhead and one smart one. 256 00:14:30,600 --> 00:14:34,360 Speaker 2: I've seen before that when a dog is sniffing at 257 00:14:34,400 --> 00:14:37,840 Speaker 2: a tree, what you're watching them do is sniff, you know, 258 00:14:37,920 --> 00:14:41,440 Speaker 2: the tree itself, but also every single insect in that tree, 259 00:14:41,480 --> 00:14:43,960 Speaker 2: every bird in that tree, everything that's in that tree 260 00:14:44,040 --> 00:14:45,360 Speaker 2: right then that dog is smelling that. 261 00:14:45,960 --> 00:14:50,480 Speaker 1: Yeah. And I think it definitely varies because obviously some 262 00:14:50,560 --> 00:14:53,840 Speaker 1: dogs are better, like hunting dogs and such and my 263 00:14:53,960 --> 00:14:57,920 Speaker 1: new dog Nico, we think maybe part plot hound. 264 00:14:58,480 --> 00:14:58,840 Speaker 2: What's that? 265 00:14:59,800 --> 00:15:02,840 Speaker 1: Just like a you know, a hound, Okay, I mean 266 00:15:02,840 --> 00:15:05,240 Speaker 1: you can look up plot hound and it looks like 267 00:15:05,280 --> 00:15:08,440 Speaker 1: my dog, okay, but like a mix of a plot hound. 268 00:15:08,520 --> 00:15:11,320 Speaker 1: But I think that they're like really good scent dogs too, 269 00:15:11,360 --> 00:15:13,720 Speaker 1: because she, more so than other dogs I've had, is 270 00:15:13,800 --> 00:15:17,120 Speaker 1: really driven by her nose and when you let her out, 271 00:15:17,160 --> 00:15:19,720 Speaker 1: she's got her nose to the ground like for quite 272 00:15:19,720 --> 00:15:20,120 Speaker 1: a while. 273 00:15:20,480 --> 00:15:23,840 Speaker 2: I was reading today about scent tracking, and apparently it's 274 00:15:23,840 --> 00:15:26,720 Speaker 2: something like some people like to do agility stuff with 275 00:15:26,760 --> 00:15:31,400 Speaker 2: their dog, or other people do like obedience like competitions 276 00:15:31,400 --> 00:15:34,320 Speaker 2: and stuff, and then other people and apparently this also 277 00:15:34,440 --> 00:15:35,880 Speaker 2: is a really good thing to do. If you found 278 00:15:35,920 --> 00:15:39,000 Speaker 2: your your dog is like no good at obedience, right, 279 00:15:39,240 --> 00:15:43,840 Speaker 2: they might actually love scent tracking because unlike the obedience 280 00:15:43,880 --> 00:15:48,040 Speaker 2: stuff or the agility stuff, when you're when you're scent tracking, 281 00:15:48,080 --> 00:15:51,400 Speaker 2: the dog is totally in charge. You're basically following the dog, 282 00:15:51,680 --> 00:15:55,200 Speaker 2: but you're doing it together, especially during training as well. 283 00:15:55,480 --> 00:15:59,000 Speaker 1: Well. You know, they'd say if your dog has behavioral problems, 284 00:15:59,040 --> 00:16:01,600 Speaker 1: and a lot of times that means they have a 285 00:16:01,720 --> 00:16:04,040 Speaker 1: job that they're not being they're not allowed to do. 286 00:16:04,320 --> 00:16:05,360 Speaker 2: Oh yeah, that makes sense. 287 00:16:05,400 --> 00:16:08,440 Speaker 1: You know, like if you have a herding dog that 288 00:16:08,800 --> 00:16:11,560 Speaker 1: doesn't have a herd, then that might be a big 289 00:16:11,600 --> 00:16:14,120 Speaker 1: pain in your butt until you can find a way 290 00:16:14,120 --> 00:16:16,960 Speaker 1: to kind of let them. I don't know if they 291 00:16:16,960 --> 00:16:20,240 Speaker 1: can not necessarily word part time as a herder, but 292 00:16:20,360 --> 00:16:22,520 Speaker 1: do something that acts as a herder, you know. 293 00:16:22,760 --> 00:16:24,240 Speaker 2: Might as well make some money off of it. 294 00:16:25,560 --> 00:16:27,800 Speaker 1: You want to take a little break, all right, We're 295 00:16:27,800 --> 00:16:29,880 Speaker 1: gonna take a break and get back to the beagles 296 00:16:29,960 --> 00:16:30,440 Speaker 1: right after this. 297 00:16:32,200 --> 00:16:47,880 Speaker 2: Fish. All right, Chuck, So we're back. So we were 298 00:16:47,960 --> 00:16:52,000 Speaker 2: talking basically about dogs in general, but since nineteen eighty four, 299 00:16:52,800 --> 00:16:57,400 Speaker 2: the USDA has been training beagles for its Beagle Brigade, right, 300 00:16:57,440 --> 00:17:02,920 Speaker 2: which is this frontline covering America's agricultural infrastructure. 301 00:17:02,960 --> 00:17:03,600 Speaker 1: That is correct. 302 00:17:04,080 --> 00:17:09,320 Speaker 2: So I was very heartened to learn from researching this 303 00:17:09,480 --> 00:17:14,399 Speaker 2: that the Beagle Brigade, specifically with the USDA, all of 304 00:17:14,440 --> 00:17:17,600 Speaker 2: them come from shelters. They're all shelter animals. 305 00:17:17,920 --> 00:17:19,680 Speaker 1: Yeah, and you know what, it kind of makes sense. 306 00:17:19,680 --> 00:17:21,159 Speaker 1: At first, I just thought it was out of the 307 00:17:21,240 --> 00:17:24,840 Speaker 1: kindness of their heart that they wouldn't like support the 308 00:17:24,920 --> 00:17:29,040 Speaker 1: dog buying industry, but they a lot of times just 309 00:17:29,080 --> 00:17:32,679 Speaker 1: get problem dogs, these beagles that are so like, you know, 310 00:17:32,840 --> 00:17:36,000 Speaker 1: up in the business in your pantry or your refrigerator, 311 00:17:36,160 --> 00:17:38,560 Speaker 1: or sniffing out your shoes so they can chew them up. 312 00:17:38,960 --> 00:17:42,960 Speaker 1: People will you know, well, I have opinions on this, 313 00:17:43,040 --> 00:17:45,320 Speaker 1: but people will turn that dog back in or whatever 314 00:17:45,720 --> 00:17:49,200 Speaker 1: to be adopted, hopefully from a no kill shelter. 315 00:17:50,000 --> 00:17:55,240 Speaker 2: Right. So then that's a big point that this USDA 316 00:17:55,320 --> 00:17:57,800 Speaker 2: spokesperson makes in the House to Works article, is like 317 00:17:57,840 --> 00:18:00,479 Speaker 2: a lot of people are saying, I'm not quite sure 318 00:18:00,520 --> 00:18:02,359 Speaker 2: how I feel about this. You guys are using these 319 00:18:02,400 --> 00:18:08,800 Speaker 2: dogs as tools basically, yeah, And I don't know, I 320 00:18:08,840 --> 00:18:11,399 Speaker 2: don't think dogs should be used that way. And the 321 00:18:11,840 --> 00:18:14,640 Speaker 2: USDA's response is, well, a lot of these dogs would 322 00:18:14,640 --> 00:18:16,760 Speaker 2: would basically be put down if it weren't for us, 323 00:18:17,080 --> 00:18:20,840 Speaker 2: you know, they would be euthanized because they can't they're 324 00:18:20,880 --> 00:18:25,960 Speaker 2: too hyper to live with a family. But that's exactly 325 00:18:26,000 --> 00:18:29,320 Speaker 2: the kind of temperament we need for what we're having 326 00:18:29,320 --> 00:18:31,959 Speaker 2: them do. So actually it's win win for everybody. 327 00:18:32,240 --> 00:18:34,879 Speaker 1: Well. Yeah, and as much as I love my dogs 328 00:18:34,920 --> 00:18:38,239 Speaker 1: laying around in bed with me, a happy dog, it's 329 00:18:38,280 --> 00:18:42,280 Speaker 1: a dog that's working and exercising and then at the 330 00:18:42,320 --> 00:18:45,679 Speaker 1: end of the night they get to relax. But you know, 331 00:18:45,720 --> 00:18:48,040 Speaker 1: it's easy to and we cover some of this and 332 00:18:48,840 --> 00:18:50,879 Speaker 1: seeing eye dogs and stuff, it's easy to be like, 333 00:18:50,920 --> 00:18:53,280 Speaker 1: oh man, that dog doesn't get to have fun all day, 334 00:18:53,600 --> 00:18:55,240 Speaker 1: and that's just not true at all. These dogs have 335 00:18:55,359 --> 00:18:58,160 Speaker 1: a purpose and they they're good at what they do. 336 00:18:58,280 --> 00:19:00,199 Speaker 1: So don't don't think of it as like using this 337 00:19:00,280 --> 00:19:04,280 Speaker 1: dog is a tool in a bad way, you know, right. 338 00:19:04,560 --> 00:19:07,000 Speaker 2: And then on the other end of it, if the 339 00:19:07,119 --> 00:19:11,200 Speaker 2: dog is brought into the program and they find out 340 00:19:11,280 --> 00:19:15,000 Speaker 2: that the dog doesn't have what it takes, maybe it 341 00:19:15,040 --> 00:19:19,600 Speaker 2: doesn't work very well amidst chaos like an airport always has, 342 00:19:20,160 --> 00:19:26,040 Speaker 2: or perhaps the the the dog just seems unhappy. They say, 343 00:19:26,160 --> 00:19:30,040 Speaker 2: if the dog seems unhappy, they'll retire it early. Yeah. 344 00:19:30,119 --> 00:19:36,320 Speaker 2: At any rate, they have apparently a record of adopting 345 00:19:36,359 --> 00:19:39,320 Speaker 2: out their beagles, and there's a waitlist right now sure 346 00:19:40,000 --> 00:19:43,200 Speaker 2: to adopt these beagles that have worked for you know, 347 00:19:43,480 --> 00:19:46,359 Speaker 2: several years, or or didn't work, didn't make it, but 348 00:19:46,720 --> 00:19:49,280 Speaker 2: you know, entered into the program. They don't return them 349 00:19:49,280 --> 00:19:52,000 Speaker 2: to shelters, they don't euthanize them. They adopt them out 350 00:19:52,040 --> 00:19:55,600 Speaker 2: and apparently the USCA has one hundred percent adoption record 351 00:19:55,640 --> 00:19:57,600 Speaker 2: on that, which is pretty outstanding. 352 00:19:57,960 --> 00:20:01,080 Speaker 1: Yeah, and as with a lot of service dogs, their 353 00:20:01,119 --> 00:20:05,480 Speaker 1: first their handlers given first right of refusal for adoption, right, 354 00:20:06,520 --> 00:20:09,040 Speaker 1: which a lot of times they do, so, you know, but. 355 00:20:09,040 --> 00:20:12,560 Speaker 2: Yeah, I would guess so too, because apparently when the 356 00:20:12,640 --> 00:20:17,520 Speaker 2: dog and the handler are paired up together as a team, 357 00:20:18,440 --> 00:20:21,560 Speaker 2: they stay a team for the dog's whole career. 358 00:20:22,400 --> 00:20:24,520 Speaker 1: It's like like Rigs and Myrtal. 359 00:20:24,800 --> 00:20:26,200 Speaker 2: Right, or Turner and Hooch. 360 00:20:26,520 --> 00:20:28,520 Speaker 1: Actually it's not like Riggs and Myrtal because they were 361 00:20:28,520 --> 00:20:32,399 Speaker 1: paired at the very end of Danny Gloverer's career. So 362 00:20:32,440 --> 00:20:34,520 Speaker 1: that was a bad announce. Oh that's right, that's true 363 00:20:34,560 --> 00:20:38,359 Speaker 1: because he's too old for that crap. Yes, that's a 364 00:20:38,359 --> 00:20:39,000 Speaker 1: big line. 365 00:20:39,200 --> 00:20:40,160 Speaker 2: Yeah, that was a great line. 366 00:20:40,200 --> 00:20:41,320 Speaker 1: Isn't that a TV show? Now? 367 00:20:42,880 --> 00:20:44,400 Speaker 2: I don't think it is anymore. 368 00:20:44,840 --> 00:20:49,600 Speaker 1: Jerry's nodding, but that probably means you're both right, short lived. 369 00:20:49,960 --> 00:20:52,639 Speaker 2: I think so. I haven't seen any ads for it lately. 370 00:20:52,640 --> 00:20:54,880 Speaker 1: What a dumb idea, like, hey, let's dust this thing 371 00:20:54,960 --> 00:20:57,640 Speaker 1: off for years ago. 372 00:20:57,800 --> 00:21:01,040 Speaker 2: They do that with everything like twin Peaks even, It's like, 373 00:21:01,119 --> 00:21:02,960 Speaker 2: how how come on. How are you going to pick 374 00:21:03,000 --> 00:21:03,480 Speaker 2: that back up? 375 00:21:03,560 --> 00:21:06,119 Speaker 1: Let's just well, stid of mind that, because that's just 376 00:21:06,240 --> 00:21:07,560 Speaker 1: more greatness from David Lynch. 377 00:21:09,040 --> 00:21:11,400 Speaker 2: Is it any good I've heard? Not necessarily. 378 00:21:11,680 --> 00:21:14,600 Speaker 1: I think it's great. I mean it's I mean, I'm 379 00:21:14,600 --> 00:21:16,960 Speaker 1: a fan of anything David Lynch does. It doesn't sure, 380 00:21:17,400 --> 00:21:20,960 Speaker 1: I didn't expect it to be exactly what Twin Peaks was. 381 00:21:21,000 --> 00:21:23,440 Speaker 1: It just feels like a new TV show from David 382 00:21:23,520 --> 00:21:23,960 Speaker 1: Lynch to. 383 00:21:23,920 --> 00:21:26,439 Speaker 2: Me, Oh gotcha? Really? Okay? 384 00:21:26,520 --> 00:21:29,320 Speaker 1: You know, yeah, I could be down with that, all right, 385 00:21:29,320 --> 00:21:32,399 Speaker 1: So let's get into this. You mentioned handlers. 386 00:21:33,080 --> 00:21:35,040 Speaker 2: We've been dancing around this the whole time. 387 00:21:35,359 --> 00:21:39,159 Speaker 1: You mentioned handlers, and this, like we said earlier, this 388 00:21:39,240 --> 00:21:43,280 Speaker 1: takes place at a place called the National Detector Dog 389 00:21:43,800 --> 00:21:49,920 Speaker 1: Training Center, the nd DTC, right here in Lovely Noonan, Georgia. 390 00:21:50,680 --> 00:21:52,800 Speaker 1: Which is that west? 391 00:21:53,440 --> 00:21:56,680 Speaker 2: I think it's south west, southwest, like just down eighty 392 00:21:56,720 --> 00:21:59,720 Speaker 2: five after it splits off a seventy five eighty five. 393 00:22:00,119 --> 00:22:01,920 Speaker 1: Edge of my own home state is pretty poor. If 394 00:22:01,920 --> 00:22:04,800 Speaker 1: I haven't camped there, and it's outside of Atlanta, I 395 00:22:04,800 --> 00:22:07,280 Speaker 1: probably don't know exactly where it is. I'm pretty sure 396 00:22:07,280 --> 00:22:10,560 Speaker 1: I'm right, okay, southwest then let's go with that, okay, 397 00:22:12,359 --> 00:22:15,199 Speaker 1: and they start training, Like with most service dogs, they 398 00:22:15,480 --> 00:22:18,480 Speaker 1: do that initial testing to just sort of see are 399 00:22:18,560 --> 00:22:21,720 Speaker 1: they healthy, do they have the right temperament, how's their behavior? 400 00:22:22,240 --> 00:22:25,920 Speaker 1: And that initial screening is where the first lot gets 401 00:22:25,960 --> 00:22:28,520 Speaker 1: weeded out. And one of the biggest parts of that 402 00:22:28,560 --> 00:22:31,240 Speaker 1: initial weeding out is they have to have a high 403 00:22:31,240 --> 00:22:35,119 Speaker 1: food drive. And that's not that doesn't mean how hungry 404 00:22:35,200 --> 00:22:38,280 Speaker 1: are they. That means your dog has just been fed. 405 00:22:38,520 --> 00:22:41,439 Speaker 1: Those little beagles just eaten, right, they still have a 406 00:22:41,600 --> 00:22:43,840 Speaker 1: high desire to get to where the food is. 407 00:22:44,040 --> 00:22:45,760 Speaker 2: It's like bacon, bacon. 408 00:22:45,960 --> 00:22:48,439 Speaker 1: Basically, that's what you're looking for. Yeah, and you make 409 00:22:48,440 --> 00:22:51,240 Speaker 1: a lot of noise and you have crowds around and 410 00:22:51,359 --> 00:22:54,040 Speaker 1: you just you're testing their focus. And this is all 411 00:22:54,119 --> 00:22:56,920 Speaker 1: just the like I said, the initial screening to say, 412 00:22:56,960 --> 00:22:59,919 Speaker 1: all right, little Henry the beagle here has. 413 00:22:59,720 --> 00:23:03,520 Speaker 2: What it takes, right, we think, yeah, well, yeah, that's 414 00:23:03,560 --> 00:23:08,480 Speaker 2: just a start. Can he also learn to differentiate? That's 415 00:23:08,520 --> 00:23:10,639 Speaker 2: the big one. That's the next big step, right, So 416 00:23:10,680 --> 00:23:12,840 Speaker 2: I think there's like a one or two week like 417 00:23:12,880 --> 00:23:17,560 Speaker 2: evaluation process. They also like give the dog a full 418 00:23:17,640 --> 00:23:23,600 Speaker 2: like veterinarian inspection. I believe they spay and or newter 419 00:23:24,040 --> 00:23:27,560 Speaker 2: I guess not and or specifically not and or in 420 00:23:27,600 --> 00:23:31,000 Speaker 2: that case, or they spay or new to the dog. 421 00:23:32,040 --> 00:23:34,440 Speaker 2: A lot of times the dogs come in not very 422 00:23:34,440 --> 00:23:38,080 Speaker 2: good shape because they're shelter dogs. Yeah, they probably weren't 423 00:23:38,119 --> 00:23:42,520 Speaker 2: taken very good care of early in their life, so 424 00:23:42,640 --> 00:23:46,160 Speaker 2: they may need some sort of treatment or checkups or whatever. 425 00:23:46,480 --> 00:23:50,719 Speaker 2: But then after that happens, the training actually starts and 426 00:23:50,760 --> 00:23:54,040 Speaker 2: the dogs are trained to scent. I guess, starting out 427 00:23:54,040 --> 00:23:56,879 Speaker 2: from what I saw five basic restricted sense. 428 00:23:57,080 --> 00:23:59,760 Speaker 1: Yeah, I didn't expect these, would you know? 429 00:23:59,840 --> 00:24:01,240 Speaker 2: It's it's rando. 430 00:24:02,480 --> 00:24:02,960 Speaker 1: Oh is it? 431 00:24:03,720 --> 00:24:04,639 Speaker 2: No? No, it's random. 432 00:24:05,480 --> 00:24:09,720 Speaker 1: Oh I thought they were. I thought there were five sents. 433 00:24:10,080 --> 00:24:12,720 Speaker 2: No, there are, and I'm saying that's a pretty random assemblage. 434 00:24:12,880 --> 00:24:15,800 Speaker 2: Oh okay, I got you, man, you'd think after nine 435 00:24:15,880 --> 00:24:16,640 Speaker 2: years together. 436 00:24:17,880 --> 00:24:20,439 Speaker 1: But I mean, if you were to have picked five cents, 437 00:24:20,520 --> 00:24:24,120 Speaker 1: I probably would have definitely picked beef, pork and citrus. 438 00:24:24,640 --> 00:24:25,399 Speaker 1: Those make sense. 439 00:24:25,960 --> 00:24:28,960 Speaker 2: I guess I would have picked like monkey, bat and 440 00:24:30,880 --> 00:24:34,800 Speaker 2: probably pig too. Yeah, but I mean those are in 441 00:24:34,840 --> 00:24:40,800 Speaker 2: there so well. The monkey and the bat aren't, but beef, pork, citrus, 442 00:24:41,080 --> 00:24:41,560 Speaker 2: the mango. 443 00:24:41,920 --> 00:24:44,719 Speaker 1: Yeah, that's where you threw me, what was the other one? Apple? 444 00:24:45,440 --> 00:24:47,800 Speaker 2: Apple? Turn with apple. I didn't even know they grew 445 00:24:47,840 --> 00:24:50,399 Speaker 2: apples outside of the United States. He was trying to 446 00:24:50,440 --> 00:24:52,399 Speaker 2: smuggle an apple into the US. 447 00:24:52,720 --> 00:24:53,240 Speaker 1: I don't know. 448 00:24:53,480 --> 00:24:55,560 Speaker 2: We got the best ones here, buddy, Just leave them 449 00:24:55,560 --> 00:24:55,920 Speaker 2: at home. 450 00:24:56,040 --> 00:24:57,879 Speaker 1: Yeah, I would love to know why those are the 451 00:24:57,880 --> 00:25:01,880 Speaker 1: five basic scents, if someone has more information than because 452 00:25:01,920 --> 00:25:02,800 Speaker 1: I could not find out. 453 00:25:03,080 --> 00:25:07,280 Speaker 2: I could not either. There's a real dearth of information 454 00:25:07,400 --> 00:25:10,560 Speaker 2: on this stuff. I even emailed the Customs and Border 455 00:25:10,600 --> 00:25:14,159 Speaker 2: Protection today because I could not, for the life of 456 00:25:14,200 --> 00:25:18,240 Speaker 2: me find the name of that first beagle that started 457 00:25:18,240 --> 00:25:22,359 Speaker 2: out at lax in nineteen eighty four. Cannot find it anywhere. 458 00:25:23,200 --> 00:25:27,520 Speaker 2: Expect that somebody forgot to write it down, so no one. 459 00:25:27,440 --> 00:25:28,880 Speaker 1: Knows you're being tracked now. 460 00:25:29,240 --> 00:25:32,000 Speaker 2: Probably, Oh yeah, I've been looking up like, you know, 461 00:25:32,359 --> 00:25:37,240 Speaker 2: restricted items, agriculture and vasive species, stuff like that. I'm 462 00:25:37,240 --> 00:25:38,880 Speaker 2: sure I'm on a list, all right. 463 00:25:38,920 --> 00:25:42,000 Speaker 1: So they teach them those well, this is, you know, 464 00:25:42,040 --> 00:25:43,840 Speaker 1: towards the end, is when they know those five basic 465 00:25:43,880 --> 00:25:46,960 Speaker 1: sense At first, they're just basically teaching them how to 466 00:25:47,000 --> 00:25:51,400 Speaker 1: sniff through bags and suitcases and boxes and making sure 467 00:25:51,440 --> 00:25:53,639 Speaker 1: they can. You know, they'll throw a they'll throw a 468 00:25:53,680 --> 00:25:58,439 Speaker 1: goat's head and a suitcase and send it through in 469 00:25:58,560 --> 00:26:01,399 Speaker 1: noonan and you laugh. But one of them found a 470 00:26:01,400 --> 00:26:04,160 Speaker 1: coat heead not too long ago, I know. So it happens, 471 00:26:05,040 --> 00:26:06,520 Speaker 1: and they just make sure they can do that, and 472 00:26:06,520 --> 00:26:09,480 Speaker 1: they eventually and then of course they have to differentiate, 473 00:26:09,560 --> 00:26:11,639 Speaker 1: like there's a lot of things that are scented, like 474 00:26:11,680 --> 00:26:14,760 Speaker 1: those things that are just fine, like an orange perfume. 475 00:26:16,080 --> 00:26:18,560 Speaker 2: Right. Well, that's another that's gotta be kind of tough 476 00:26:18,600 --> 00:26:21,160 Speaker 2: to learn for a dog too, is the difference between 477 00:26:21,800 --> 00:26:24,480 Speaker 2: you know, orange scented stuff or things that are made 478 00:26:24,520 --> 00:26:28,159 Speaker 2: with like say, orange essence, like a candy or a 479 00:26:28,240 --> 00:26:30,760 Speaker 2: lip balm or something like that. Yeah, and an actual 480 00:26:30,880 --> 00:26:35,560 Speaker 2: orange because the lipbalmb no problem. Actual orange, you got 481 00:26:35,560 --> 00:26:37,080 Speaker 2: a problem. 482 00:26:36,880 --> 00:26:39,880 Speaker 1: That's right. And once they've done this, this is about 483 00:26:39,920 --> 00:26:45,040 Speaker 1: a a few months, probably ten to thirteen weeks. And 484 00:26:45,080 --> 00:26:48,760 Speaker 1: this is and they're being trained in regular like how 485 00:26:48,760 --> 00:26:55,199 Speaker 1: to paw at stuff and alert and sitting responses like 486 00:26:55,760 --> 00:26:57,919 Speaker 1: all of this is one big learning period and the 487 00:26:57,960 --> 00:27:01,040 Speaker 1: handler's getting trained as well obviously, right. But at the 488 00:27:01,119 --> 00:27:03,159 Speaker 1: end of this is when they finally do graduate to 489 00:27:03,200 --> 00:27:07,639 Speaker 1: those five basic scents. And I guess see what I 490 00:27:07,640 --> 00:27:09,719 Speaker 1: don't get it from the basic sense. Is is it 491 00:27:09,760 --> 00:27:12,040 Speaker 1: from those sense that they can smell anything? 492 00:27:12,280 --> 00:27:15,800 Speaker 2: No, that's crazy. That's what I thought too. That's that's 493 00:27:15,800 --> 00:27:19,000 Speaker 2: what it implies. Like if you put together apple and 494 00:27:19,480 --> 00:27:24,879 Speaker 2: pig and mango, you've got like bat that's not the case, 495 00:27:24,920 --> 00:27:27,720 Speaker 2: Like each thing has its own scina. I don't know 496 00:27:27,760 --> 00:27:31,920 Speaker 2: if those are like the most commonly smuggled ones. Possibly maybe, 497 00:27:32,080 --> 00:27:33,959 Speaker 2: so those are the ones they need to start out with. 498 00:27:34,000 --> 00:27:37,200 Speaker 2: Maybe they're the easiest ones. I don't know, but I yeah, 499 00:27:37,280 --> 00:27:40,320 Speaker 2: if you put those things together, especially if a dog 500 00:27:40,400 --> 00:27:43,679 Speaker 2: smells in layers right and differentiates between sense, it's not 501 00:27:43,720 --> 00:27:46,160 Speaker 2: gonna smell the combined center those things. It's gonna smell 502 00:27:46,200 --> 00:27:48,679 Speaker 2: each thing. So I'm not sure why those are the 503 00:27:48,680 --> 00:27:51,720 Speaker 2: five basic ones. Can't find out. Yeah, well hope this 504 00:27:51,760 --> 00:27:54,080 Speaker 2: one was a stone wall. I mean, like we're professional 505 00:27:54,119 --> 00:27:57,720 Speaker 2: researchers here, and like we really ran into a wall. Yeah. 506 00:27:57,720 --> 00:27:59,600 Speaker 1: Who would have known that the beagle brigade is what 507 00:27:59,640 --> 00:28:00,399 Speaker 1: would throw. 508 00:28:00,320 --> 00:28:02,040 Speaker 2: Us, it would break us. 509 00:28:02,280 --> 00:28:05,800 Speaker 1: Uh. So they've they've learned all these since they've learned 510 00:28:05,840 --> 00:28:08,920 Speaker 1: how to alert, they're getting treats or getting positive reinforcement 511 00:28:08,920 --> 00:28:09,560 Speaker 1: along the way. 512 00:28:10,000 --> 00:28:12,600 Speaker 2: Yeah, that's a big one too. The entire training is 513 00:28:12,680 --> 00:28:14,360 Speaker 2: strictly positive reinforcement. 514 00:28:14,480 --> 00:28:17,320 Speaker 1: Yeah, they don't beat these dogs down if they're not 515 00:28:17,440 --> 00:28:18,280 Speaker 1: smelling correctly. 516 00:28:18,400 --> 00:28:20,920 Speaker 2: They have like they spend ten grand a month on 517 00:28:21,040 --> 00:28:25,080 Speaker 2: newspapers to roll up teach these dogs lessons. 518 00:28:24,720 --> 00:28:29,800 Speaker 1: The puppy bounder. So once they've once they've gone through 519 00:28:29,840 --> 00:28:33,520 Speaker 1: all of that, everyone knows I'm joking, right. 520 00:28:34,359 --> 00:28:36,200 Speaker 2: Yeah, okay, and if you're new to the podcast and 521 00:28:36,280 --> 00:28:37,920 Speaker 2: don't just don't even bother emailing. 522 00:28:38,000 --> 00:28:42,040 Speaker 1: Yeah, we're great animal lovers here. So once they've they've 523 00:28:42,080 --> 00:28:45,080 Speaker 1: gone through this whole training process, they finally graduate. They 524 00:28:45,080 --> 00:28:48,720 Speaker 1: get their little diploma, their little hat and their little robe, 525 00:28:49,440 --> 00:28:51,400 Speaker 1: and they graduate from Noonan and they get to move 526 00:28:51,440 --> 00:28:56,640 Speaker 1: to the big city with the Atlanta or anywhere any 527 00:28:56,640 --> 00:28:59,720 Speaker 1: international airport, but Atlanta certainly has a large one for sure. 528 00:29:00,920 --> 00:29:04,680 Speaker 2: And so once they get to their home base airport 529 00:29:04,720 --> 00:29:07,800 Speaker 2: that they're going to be working at, they're still evaluated 530 00:29:08,000 --> 00:29:12,000 Speaker 2: and trained for another sometimes ten to thirteen weeks. 531 00:29:12,360 --> 00:29:14,760 Speaker 1: Yeah, training is kind of ongoing from what I saw too, 532 00:29:14,920 --> 00:29:15,960 Speaker 1: like the whole career, you know. 533 00:29:16,120 --> 00:29:19,800 Speaker 2: Yeah, it's not like the okay, stop learning dog. Yeah, 534 00:29:20,200 --> 00:29:25,560 Speaker 2: you know too much. But I think the initial training period. 535 00:29:25,600 --> 00:29:29,440 Speaker 2: They're basic training still can go on for another ten 536 00:29:29,480 --> 00:29:32,479 Speaker 2: to thirteen weeks after they get to the airport, and 537 00:29:32,520 --> 00:29:35,240 Speaker 2: even once they get to the airport, that doesn't necessarily 538 00:29:35,280 --> 00:29:39,120 Speaker 2: mean that they're going to stay in the program again. 539 00:29:39,280 --> 00:29:44,600 Speaker 2: Once they're finally introduced to the chaos of an international airport, 540 00:29:45,320 --> 00:29:47,880 Speaker 2: that dog might just be like, this is not for me. 541 00:29:48,000 --> 00:29:49,040 Speaker 2: Send me back to noonan. 542 00:29:49,720 --> 00:29:52,040 Speaker 1: Yeah you know, I mean, you can try and duplicate 543 00:29:52,080 --> 00:29:54,640 Speaker 1: that chaos in nounan, but yeah, good luck. 544 00:29:55,080 --> 00:29:57,560 Speaker 2: You just can't. I mean, even you just can't. There's 545 00:29:57,600 --> 00:30:01,240 Speaker 2: nothing like a busy airport. You can't recreate that. Yeah, 546 00:30:01,480 --> 00:30:03,680 Speaker 2: so some dogs are fine with it, some dogs are not. 547 00:30:03,800 --> 00:30:06,640 Speaker 2: But again, one of the main reasons why they're choosing 548 00:30:06,680 --> 00:30:10,640 Speaker 2: beagles is because it is so chaotic, and these dogs 549 00:30:10,840 --> 00:30:13,960 Speaker 2: are their whole thing is they're not there at like 550 00:30:13,960 --> 00:30:16,600 Speaker 2: a male processing facility. They're not there at like a 551 00:30:16,680 --> 00:30:20,360 Speaker 2: border crossing. They're there at a busy airport, and they're 552 00:30:20,400 --> 00:30:22,160 Speaker 2: they're meant to be able to kind of weave in 553 00:30:22,240 --> 00:30:25,440 Speaker 2: and out of this the crowd while also being non 554 00:30:25,520 --> 00:30:29,240 Speaker 2: threatening and also being lovable too. Like that's not by 555 00:30:29,280 --> 00:30:33,440 Speaker 2: accident that they chose these incredibly adorable dogs. The USDA 556 00:30:33,520 --> 00:30:36,640 Speaker 2: says that the Beagle Brigade is basically like a walking, 557 00:30:36,800 --> 00:30:39,800 Speaker 2: lovable advertisement for what they're trying to do, which is 558 00:30:40,200 --> 00:30:42,160 Speaker 2: protect agriculture here in the US. 559 00:30:42,240 --> 00:30:45,400 Speaker 1: Yeah, they have a little vest, it says Beagle Brigade. Yeah, 560 00:30:45,440 --> 00:30:48,959 Speaker 1: and everyone oohs and ahs and some people. If you're not, 561 00:30:49,600 --> 00:30:51,560 Speaker 1: this is probably how they do it. If you're not 562 00:30:51,600 --> 00:30:54,440 Speaker 1: actively ooing and eyeing, and you're standing there sweating heavily, 563 00:30:55,920 --> 00:30:57,640 Speaker 1: then the dog keys in on you. So I'd be 564 00:30:57,640 --> 00:30:58,280 Speaker 1: in big trouble. 565 00:30:58,840 --> 00:31:00,560 Speaker 2: And I don't know if you said it. If you did, 566 00:31:00,640 --> 00:31:05,240 Speaker 2: I didn't catch it. But the dogs are trained to 567 00:31:05,720 --> 00:31:11,360 Speaker 2: walk up to locate a contraband item and sit at 568 00:31:11,400 --> 00:31:11,800 Speaker 2: a bag. 569 00:31:11,920 --> 00:31:14,280 Speaker 1: Yeah, yeah they I thought they attacked the person first. 570 00:31:14,600 --> 00:31:18,560 Speaker 2: It's called the passive indicating Yeah, but rather than I 571 00:31:18,600 --> 00:31:21,800 Speaker 2: saw in this article it says they pawed it. Everywhere 572 00:31:21,800 --> 00:31:24,720 Speaker 2: else I saw that they just sit and kind of 573 00:31:24,720 --> 00:31:26,720 Speaker 2: look at the person like shame on you. 574 00:31:27,040 --> 00:31:30,520 Speaker 1: Exactly. It's a very passive aggressive way to out somebody 575 00:31:30,680 --> 00:31:32,360 Speaker 1: for a goat's head in their two case. 576 00:31:32,720 --> 00:31:36,280 Speaker 2: Right, So we want to oh, yeah, man, you read 577 00:31:36,320 --> 00:31:36,720 Speaker 2: my mind. 578 00:31:36,760 --> 00:31:39,960 Speaker 1: All right, we're gonna do that and we're gonna finish 579 00:31:40,080 --> 00:31:41,880 Speaker 1: up here with a big old brigade. 580 00:31:43,360 --> 00:31:43,680 Speaker 2: Fish. 581 00:31:57,000 --> 00:31:58,560 Speaker 1: All right, So what happens at the end of a 582 00:31:58,560 --> 00:32:01,520 Speaker 1: long day, Josh the dog. 583 00:32:03,240 --> 00:32:06,960 Speaker 2: Most beagles enjoy a good pipe, maybe a scotch. 584 00:32:07,120 --> 00:32:10,280 Speaker 1: In an easy chair, perhaps a cigar. 585 00:32:11,080 --> 00:32:13,800 Speaker 2: They sure they tend to watch CNN. I'llough if you 586 00:32:13,920 --> 00:32:18,880 Speaker 2: watch Fox News and they fall asleep a little drunk. 587 00:32:19,680 --> 00:32:22,280 Speaker 2: That's what they do every night. It's their routine. And 588 00:32:22,280 --> 00:32:23,280 Speaker 2: that's what beagles like. 589 00:32:23,360 --> 00:32:28,440 Speaker 1: Oh no, that's our routine at our clubhouse where we live. 590 00:32:28,840 --> 00:32:32,960 Speaker 1: I know, weirdly, and this kind of surprised me. I 591 00:32:32,960 --> 00:32:35,840 Speaker 1: guess it's not weird now they've seen the explanation, but 592 00:32:35,920 --> 00:32:37,520 Speaker 1: I was surprised to learn that they are kindled. I 593 00:32:37,560 --> 00:32:40,040 Speaker 1: thought that they thought. I guess I thought they lived 594 00:32:40,040 --> 00:32:40,760 Speaker 1: with their handler. 595 00:32:41,200 --> 00:32:43,479 Speaker 2: Yeah, because canine police dogs live with their handler. 596 00:32:43,640 --> 00:32:44,120 Speaker 1: Yeah. 597 00:32:44,440 --> 00:32:45,720 Speaker 2: I thought it was weird too. 598 00:32:45,920 --> 00:32:48,680 Speaker 1: But they're kindled. They have a facility near the airport. 599 00:32:50,560 --> 00:32:54,440 Speaker 1: Some people have asked, like, can I just keep this 600 00:32:54,520 --> 00:32:57,240 Speaker 1: dog at night and then take them to work every morning? 601 00:32:58,240 --> 00:33:00,000 Speaker 1: And they say no, They said this is actually best 602 00:33:00,040 --> 00:33:02,720 Speaker 1: for everyone. They need their rest. I imagine they have 603 00:33:02,760 --> 00:33:05,120 Speaker 1: a good play together. I doubt if they just like 604 00:33:05,360 --> 00:33:07,280 Speaker 1: drive them straight there and put them in the crate, 605 00:33:07,360 --> 00:33:09,719 Speaker 1: you know, there's probably a little social scene going on. 606 00:33:10,120 --> 00:33:12,560 Speaker 2: I hope, So, yeah, I hope they don't like get 607 00:33:12,600 --> 00:33:15,479 Speaker 2: scolded for making eye contact with the other working dogs 608 00:33:15,520 --> 00:33:16,080 Speaker 2: they live with. 609 00:33:16,680 --> 00:33:18,760 Speaker 1: No, they put in their eight hours, they come home, 610 00:33:18,800 --> 00:33:22,440 Speaker 1: they probably play a bit, and then they're kinneled overnight. Yeah, 611 00:33:22,480 --> 00:33:25,760 Speaker 1: and they said that they you know, they need this 612 00:33:25,920 --> 00:33:29,880 Speaker 1: rest time in order to do their job successfully. And 613 00:33:29,920 --> 00:33:32,240 Speaker 1: like I said, a happy dog is a dog that 614 00:33:32,240 --> 00:33:33,440 Speaker 1: feels good about its work. 615 00:33:33,520 --> 00:33:35,760 Speaker 2: And you said, Chuck, some people ask if they can 616 00:33:35,800 --> 00:33:38,280 Speaker 2: take them home. Sure you should specify, like that's not 617 00:33:38,320 --> 00:33:39,440 Speaker 2: the agents. 618 00:33:39,040 --> 00:33:42,000 Speaker 1: Asked to like people at the airport, I know. 619 00:33:42,120 --> 00:33:43,800 Speaker 2: Like, can I just take them home for the night 620 00:33:43,840 --> 00:33:45,760 Speaker 2: and you guys can come get on tomorrow or all 621 00:33:45,800 --> 00:33:48,360 Speaker 2: of them bring them back. I don't only live like 622 00:33:48,400 --> 00:33:49,600 Speaker 2: forty five minutes away. 623 00:33:49,800 --> 00:33:51,959 Speaker 1: Yeah, sure that we'll just get you give me your 624 00:33:51,960 --> 00:33:53,280 Speaker 1: cell phone number. That sounds great. 625 00:33:53,680 --> 00:33:56,920 Speaker 2: So it does make sense that, yeah, they are left 626 00:33:56,920 --> 00:33:58,479 Speaker 2: to just kind of rest and I'm sure that they 627 00:33:58,480 --> 00:34:01,440 Speaker 2: actually live at the airport. Which is funny. It's like 628 00:34:01,480 --> 00:34:03,880 Speaker 2: that movie Terminal with Tom Hanks. 629 00:34:04,600 --> 00:34:06,680 Speaker 1: It says in nearby facility. You think it's actually there? 630 00:34:06,920 --> 00:34:07,480 Speaker 2: I'm sure. 631 00:34:07,760 --> 00:34:09,239 Speaker 1: Yeah. 632 00:34:09,400 --> 00:34:11,440 Speaker 2: Did you know that that movie Terminal with Tom Hanks 633 00:34:11,480 --> 00:34:15,440 Speaker 2: is based on a real life thing? Yeah, and the 634 00:34:15,480 --> 00:34:18,040 Speaker 2: guy was like living there for a decade or something 635 00:34:18,160 --> 00:34:20,800 Speaker 2: like that. And then Charles de Gaulle, Yeah, did you 636 00:34:20,840 --> 00:34:23,320 Speaker 2: see that movie? No, I just read the article of 637 00:34:23,400 --> 00:34:24,320 Speaker 2: movies based. 638 00:34:24,040 --> 00:34:28,279 Speaker 1: On Yeah, it's not very good. Unfortunately I got that impression. Yeah, 639 00:34:28,280 --> 00:34:28,960 Speaker 1: that was a bummer. 640 00:34:29,920 --> 00:34:31,320 Speaker 2: Oh really it doesn't end well. 641 00:34:31,440 --> 00:34:33,080 Speaker 1: Well, no, it was just a bummer that it wasn't 642 00:34:33,080 --> 00:34:36,640 Speaker 1: good because I was like Spielberg and Tom Hanks and sure, 643 00:34:36,640 --> 00:34:39,719 Speaker 1: I think my hopes were high, yep, But yeah, I 644 00:34:39,719 --> 00:34:40,480 Speaker 1: didn't care for it. 645 00:34:40,880 --> 00:34:42,200 Speaker 2: No, such luck, Charles. 646 00:34:42,880 --> 00:34:47,280 Speaker 1: So the beagle brigade is a very closely guarded secret 647 00:34:47,440 --> 00:34:52,959 Speaker 1: just how many beagles are brigading. So they can say 648 00:34:53,000 --> 00:34:56,239 Speaker 1: though that there are one hundred and sixteen CBP agricultural 649 00:34:56,320 --> 00:35:00,600 Speaker 1: canine teams with the dogs and the handlers, that every 650 00:35:00,600 --> 00:35:03,719 Speaker 1: international airport in the country has a beagle brigade there 651 00:35:04,280 --> 00:35:05,600 Speaker 1: right doing their job. 652 00:35:06,239 --> 00:35:08,120 Speaker 2: So they can tell you a lot. 653 00:35:08,760 --> 00:35:10,719 Speaker 1: Yeah, I mean you want to tell some stories here. 654 00:35:11,160 --> 00:35:16,600 Speaker 2: Yes, So there was this one dog called Murray. Murray 655 00:35:16,760 --> 00:35:21,400 Speaker 2: was he was at a shelter in North Georgia, and 656 00:35:21,480 --> 00:35:26,960 Speaker 2: apparently some dummies decided they wanted a hunting dog and 657 00:35:27,160 --> 00:35:30,960 Speaker 2: didn't want to spend any money, but they wanted a 658 00:35:31,040 --> 00:35:34,279 Speaker 2: doctail and ears and everything. So they tried it themselves 659 00:35:34,560 --> 00:35:37,200 Speaker 2: and it didn't go very well for poor Murray. So 660 00:35:37,400 --> 00:35:42,440 Speaker 2: they dropped him off at a shelter, probably knowing the state. 661 00:35:42,560 --> 00:35:44,680 Speaker 2: They probably dropped him off on a dirt road and 662 00:35:44,719 --> 00:35:46,600 Speaker 2: somebody else found him and took him to a shelter, 663 00:35:47,160 --> 00:35:52,680 Speaker 2: and Murray was rescued by a group called Alcovy Pet Rescue, 664 00:35:53,200 --> 00:35:57,839 Speaker 2: and I guess Alcovy has a direct pipeline to the 665 00:35:57,840 --> 00:36:02,120 Speaker 2: Beagle Brigade. Handlers at donn in Noonan said, Hey, we 666 00:36:02,200 --> 00:36:05,640 Speaker 2: think we got one for you. This guy is so 667 00:36:05,960 --> 00:36:08,759 Speaker 2: food driven it's crazy. It's got a lot of love. 668 00:36:08,800 --> 00:36:11,360 Speaker 2: He just needs a little bit of attention. He's missing 669 00:36:11,400 --> 00:36:14,040 Speaker 2: part of his ear, but we can get past that. 670 00:36:14,600 --> 00:36:20,480 Speaker 2: And at age two or three, he became an agent 671 00:36:20,640 --> 00:36:24,800 Speaker 2: for the USDA at Atlanta Hartsfield Jackson International Airport. 672 00:36:26,200 --> 00:36:28,680 Speaker 1: That's great. The only way that story could have ended 673 00:36:28,719 --> 00:36:31,560 Speaker 1: better is if those original people had part of their 674 00:36:31,560 --> 00:36:38,080 Speaker 1: ear cut off. Yeah by a dog. Yeah, what about Jasper. 675 00:36:39,160 --> 00:36:40,960 Speaker 2: So Jasper he worked at JFK. 676 00:36:41,200 --> 00:36:45,280 Speaker 1: I think, yeah, this was late last year. Jasper retired 677 00:36:45,320 --> 00:36:49,720 Speaker 1: after an eight year career, and during this career, Jasper 678 00:36:49,840 --> 00:36:56,840 Speaker 1: seized over seventeen thousand items. The goat's head was Jasper, 679 00:36:57,239 --> 00:37:00,879 Speaker 1: like I mentioned. Yeah, whale meat, Yeah, whale meat, ainoceros skin, 680 00:37:01,480 --> 00:37:08,160 Speaker 1: cooked bat really what else anything else crazy like that? 681 00:37:09,080 --> 00:37:10,120 Speaker 2: No, not that I saw. 682 00:37:10,840 --> 00:37:13,240 Speaker 1: And a lot of Romanian cotton weavils. 683 00:37:13,160 --> 00:37:17,840 Speaker 2: Right, and his handler Amanda Tipple or Triple is it 684 00:37:17,880 --> 00:37:22,120 Speaker 2: Tipple or Triple Triple. She said that she was interviewed 685 00:37:22,120 --> 00:37:25,360 Speaker 2: with Modern Farmer magazine, which I didn't realize existed until 686 00:37:25,480 --> 00:37:26,240 Speaker 2: last week. 687 00:37:27,000 --> 00:37:28,080 Speaker 1: And now you have a subscription. 688 00:37:28,480 --> 00:37:31,000 Speaker 2: Yeah, they did an interview with her, and she was 689 00:37:31,040 --> 00:37:37,040 Speaker 2: saying that that he could very easily work longer, but 690 00:37:37,120 --> 00:37:41,160 Speaker 2: that the mandatory age of retirement is eight because they 691 00:37:41,200 --> 00:37:44,040 Speaker 2: want the dogs to have some years of just chilling out, 692 00:37:44,480 --> 00:37:47,880 Speaker 2: not having to work, and that she's going to take 693 00:37:47,920 --> 00:37:50,399 Speaker 2: him home. She's adopting him, or she did adopt him. 694 00:37:50,400 --> 00:37:52,200 Speaker 2: I think the article was from last year and he 695 00:37:52,320 --> 00:37:54,960 Speaker 2: was on the verge of retirement when they interviewed him, 696 00:37:55,400 --> 00:37:59,440 Speaker 2: but he went and apparently this is fairly normal. Went 697 00:37:59,440 --> 00:38:04,399 Speaker 2: from something like fifteen to thirty hits twenty to thirty 698 00:38:04,520 --> 00:38:07,759 Speaker 2: hits a day, wow, but had declined to about ten 699 00:38:07,760 --> 00:38:11,880 Speaker 2: to fifteen. Yeah, everybody was very disappointed in him. 700 00:38:13,200 --> 00:38:16,120 Speaker 1: Well, I mean, that's a good retirement age if they're eight, like, 701 00:38:16,560 --> 00:38:22,120 Speaker 1: barring some very sad health concern. You know, a dog 702 00:38:22,160 --> 00:38:24,560 Speaker 1: that size can live to be you know, thirteen fourteen 703 00:38:24,640 --> 00:38:27,960 Speaker 1: years old, right, so many years ahead of them hopefully, Yeah, 704 00:38:28,000 --> 00:38:28,640 Speaker 1: in retirement. 705 00:38:29,080 --> 00:38:33,080 Speaker 2: Yeah, and once she takes them home, you know, she 706 00:38:33,200 --> 00:38:36,160 Speaker 2: gets another dog that she's going to partner with. 707 00:38:36,520 --> 00:38:37,759 Speaker 1: So I wonder how that'll go over. 708 00:38:37,920 --> 00:38:41,560 Speaker 2: You know, we'll Jasper be like, I know where you've 709 00:38:41,560 --> 00:38:43,799 Speaker 2: been today, and I just want to tell you again, 710 00:38:43,840 --> 00:38:44,920 Speaker 2: I'm not happy with this. 711 00:38:45,640 --> 00:38:50,480 Speaker 1: Well I bet Jasper. I bet Jasper and all retired 712 00:38:50,560 --> 00:38:53,520 Speaker 1: dogs have to deal with that transition, you know. Yeah, 713 00:38:53,560 --> 00:38:56,200 Speaker 1: Like I imagine there's something the handlers have to do 714 00:38:56,760 --> 00:38:59,480 Speaker 1: with them on a daily basis, like, you know, probably 715 00:38:59,520 --> 00:39:02,479 Speaker 1: a lot of long walks. I imagine the dog isn't 716 00:39:02,520 --> 00:39:05,319 Speaker 1: just like all right and now I'm gonna rest right now, 717 00:39:05,360 --> 00:39:06,600 Speaker 1: like they're used to that activity. 718 00:39:08,640 --> 00:39:11,239 Speaker 2: Well, yeah, yeah, I was wondering that as well. I 719 00:39:11,280 --> 00:39:14,759 Speaker 2: wonder too if they get them when they're young, so 720 00:39:14,800 --> 00:39:16,839 Speaker 2: they're super hyper, and then maybe by the time they're 721 00:39:16,840 --> 00:39:21,200 Speaker 2: eight they've mellowed a little bit. Sure, at least comparatively speaking. Yeah, yeah, 722 00:39:21,280 --> 00:39:24,320 Speaker 2: I think a mellow beagle is still pretty hyper compared 723 00:39:24,360 --> 00:39:25,320 Speaker 2: to a normal dog. 724 00:39:26,040 --> 00:39:27,200 Speaker 1: I've never been around beagles. 725 00:39:27,239 --> 00:39:32,279 Speaker 2: Actually, Oh, they they'll pull yeah, yeah, and they bay 726 00:39:32,360 --> 00:39:35,600 Speaker 2: and everything. They're super cute, but they can be rambunctious 727 00:39:35,640 --> 00:39:35,960 Speaker 2: for sure. 728 00:39:36,040 --> 00:39:39,200 Speaker 1: Yeah. I've never known anyone with a beagle, so I 729 00:39:39,239 --> 00:39:43,080 Speaker 1: don't even know if I've ever touched a beagle now 730 00:39:43,120 --> 00:39:44,080 Speaker 1: that think about it. 731 00:39:44,000 --> 00:39:46,279 Speaker 2: No, but if you've been touched by a beagle, have 732 00:39:46,520 --> 00:39:47,480 Speaker 2: you'll never forget it. 733 00:39:47,560 --> 00:39:50,560 Speaker 1: Chuck a couple of stats for you. Last year alone, 734 00:39:50,680 --> 00:39:54,440 Speaker 1: in twenty sixteen, the brigade inspected twenty three million passengers, 735 00:39:55,840 --> 00:39:58,799 Speaker 1: seven hundred and forty one thousand pieces of freight, and 736 00:39:58,840 --> 00:40:02,440 Speaker 1: they alerted to total in the United States to more 737 00:40:02,480 --> 00:40:07,440 Speaker 1: than one point seven seven million seizures of illegal materials. 738 00:40:07,960 --> 00:40:10,920 Speaker 1: That's a lot. That's about what like seven eight percent 739 00:40:10,920 --> 00:40:14,400 Speaker 1: of people bringing stuff in that have been caught. 740 00:40:14,840 --> 00:40:18,279 Speaker 2: Yeah, and I saw also that there is a there's 741 00:40:18,320 --> 00:40:21,520 Speaker 2: an even more specialized group of dogs that are typically 742 00:40:21,600 --> 00:40:26,560 Speaker 2: jack Russell terriers that work on Guam to root out 743 00:40:27,160 --> 00:40:30,640 Speaker 2: specifically brown tree snakes. Yeah, that's crazy, which are an 744 00:40:30,680 --> 00:40:33,640 Speaker 2: invasive species that got introduced to Guam and have killed 745 00:40:33,640 --> 00:40:36,440 Speaker 2: off like a lot of indigenous bird species, and they're 746 00:40:36,480 --> 00:40:39,359 Speaker 2: basically trying to protect Hawaii as much as they can. 747 00:40:39,560 --> 00:40:42,040 Speaker 1: I didn't know Hawaii didn't have snakes until this article. 748 00:40:42,840 --> 00:40:44,520 Speaker 2: Yeah, it's like Ireland over there. 749 00:40:44,840 --> 00:40:46,640 Speaker 1: Yeah, I mean it made sense, of course, but I 750 00:40:46,719 --> 00:40:50,200 Speaker 1: just figured, I mean, there's all kinds of invasive species, 751 00:40:50,239 --> 00:40:52,480 Speaker 1: so I just thought that I just figured snakes would 752 00:40:52,480 --> 00:40:53,000 Speaker 1: be one of them. 753 00:40:53,200 --> 00:40:58,320 Speaker 2: Yeah. No, Hawaii takes their their like the Agriculture Defense 754 00:40:58,800 --> 00:40:59,360 Speaker 2: very seriously. 755 00:40:59,400 --> 00:41:01,880 Speaker 1: Yeah. The snake thing is yeah. 756 00:41:01,680 --> 00:41:03,520 Speaker 2: Well they'll just beat you up before they even take 757 00:41:03,560 --> 00:41:05,120 Speaker 2: you to jail. They catch you. 758 00:41:05,520 --> 00:41:07,480 Speaker 1: Well, I read an article because I was like, what 759 00:41:07,560 --> 00:41:10,560 Speaker 1: is that real? And which is I guess a great 760 00:41:10,600 --> 00:41:16,760 Speaker 1: comfort to backcountry exploring and explorers if you're scared of snakes. 761 00:41:17,640 --> 00:41:20,480 Speaker 1: But I read an article and there was there there 762 00:41:20,480 --> 00:41:23,239 Speaker 1: were a couple of them found last year that you know, 763 00:41:23,280 --> 00:41:25,880 Speaker 1: people had managed to sneak in. And one was a 764 00:41:25,920 --> 00:41:29,120 Speaker 1: boa constrictor that was dead in the road like five 765 00:41:29,160 --> 00:41:32,160 Speaker 1: feet long, and the guy oh Man saw it and said, like, 766 00:41:32,239 --> 00:41:34,120 Speaker 1: there's a snake, and everyone in the car was like, 767 00:41:34,320 --> 00:41:37,120 Speaker 1: there are no snakes in Hawaii. They're like, no, that's 768 00:41:37,120 --> 00:41:37,520 Speaker 1: a snake. 769 00:41:37,680 --> 00:41:40,359 Speaker 2: He's like, oh, I'm just a total idiot. I guess. 770 00:41:41,760 --> 00:41:43,960 Speaker 1: I'm sure their legs under there just a big lizard. 771 00:41:44,239 --> 00:41:44,920 Speaker 2: Hate you guys. 772 00:41:46,360 --> 00:41:49,240 Speaker 1: Yeah, that was that was news to me, so very interesting. 773 00:41:49,520 --> 00:41:52,880 Speaker 2: Supposedly the ever Glades down in Florida have a huge 774 00:41:53,040 --> 00:41:58,000 Speaker 2: problem with Burmese pythons and like a couple of different 775 00:41:58,080 --> 00:42:01,240 Speaker 2: kinds of pythons that in all of them were pets, 776 00:42:01,280 --> 00:42:03,319 Speaker 2: and now they're just taking over and getting to be 777 00:42:03,400 --> 00:42:06,839 Speaker 2: like twenty feet long or just crazy. Yeah, eating wild 778 00:42:06,920 --> 00:42:08,320 Speaker 2: bores and things like that. 779 00:42:08,160 --> 00:42:10,799 Speaker 1: Because idiots get them and then they grow and they 780 00:42:10,880 --> 00:42:13,160 Speaker 1: say this snake is too big, yeah, and they just 781 00:42:13,280 --> 00:42:14,600 Speaker 1: put it out in the swamp. 782 00:42:14,800 --> 00:42:16,200 Speaker 2: I just wanted a puppy snake. 783 00:42:17,640 --> 00:42:20,799 Speaker 1: So here's a good example too. Like, you know, it's 784 00:42:20,840 --> 00:42:23,480 Speaker 1: easy to like the goat head and the cooked pig 785 00:42:23,800 --> 00:42:27,759 Speaker 1: gets a lot of attention, but usually this stuff is 786 00:42:29,040 --> 00:42:31,800 Speaker 1: it's not nefarious, you know, It's like this one lady 787 00:42:32,520 --> 00:42:36,160 Speaker 1: in February of this year, actually, there was a beagle 788 00:42:36,280 --> 00:42:39,000 Speaker 1: named gadget that sees. And this is just one seizure 789 00:42:39,040 --> 00:42:44,920 Speaker 1: from one person. A potted tamarin plant, two live trees, 790 00:42:45,000 --> 00:42:49,000 Speaker 1: forty two packages of seeds, twenty pieces of palm tree plantings, 791 00:42:49,440 --> 00:42:52,960 Speaker 1: chickory seed, rice, millet, and fresh garlic, and. 792 00:42:52,920 --> 00:42:53,920 Speaker 2: A note from God. 793 00:42:55,200 --> 00:42:56,680 Speaker 1: I mean, that's a lot of stuff, but this is 794 00:42:56,680 --> 00:42:59,920 Speaker 1: what happens. Like someone goes to another country and they 795 00:43:00,080 --> 00:43:02,520 Speaker 1: want to bring back like seeds to plant something. It's 796 00:43:02,520 --> 00:43:06,680 Speaker 1: not like they're awful people, but it can. They can 797 00:43:06,719 --> 00:43:10,759 Speaker 1: innocently wreak havoc on agriculture here by doing so, you know. 798 00:43:11,080 --> 00:43:14,000 Speaker 2: Right, So the process from what I gather is that 799 00:43:14,120 --> 00:43:19,520 Speaker 2: you declare anything you have on you and then if 800 00:43:19,600 --> 00:43:22,239 Speaker 2: they can let you bring it through, then they'll let 801 00:43:22,239 --> 00:43:24,120 Speaker 2: you bring it through. But if not, they'll just take 802 00:43:24,160 --> 00:43:25,879 Speaker 2: it and be like, sorry, we got to take this. 803 00:43:26,280 --> 00:43:30,520 Speaker 2: Then they'll shoot it in front of you. If you 804 00:43:30,760 --> 00:43:33,600 Speaker 2: don't declare it and they catch you with it. Thanks 805 00:43:33,600 --> 00:43:36,920 Speaker 2: to the Beagle Brigade, you can be fined up to 806 00:43:37,000 --> 00:43:40,680 Speaker 2: something like one thousand dollars for your first offense. And 807 00:43:40,760 --> 00:43:43,920 Speaker 2: if it's clear you're like a straight up smuggler, yeah, 808 00:43:44,080 --> 00:43:45,400 Speaker 2: you will probably go to jail. 809 00:43:45,640 --> 00:43:48,440 Speaker 1: Well, this person did declare that had all that stuff 810 00:43:49,280 --> 00:43:52,520 Speaker 1: chocolate in an apple, So I guess she thought maybe 811 00:43:52,560 --> 00:43:55,320 Speaker 1: if I declare something, I won't be a suspicious I 812 00:43:55,360 --> 00:43:55,759 Speaker 1: don't know. 813 00:43:56,080 --> 00:44:00,239 Speaker 2: Right, but I mean, if you're a CBP agent and 814 00:44:00,280 --> 00:44:02,120 Speaker 2: you're looking at that, and you have the discretion of 815 00:44:02,160 --> 00:44:04,600 Speaker 2: whether to arrest that person or not, you may very 816 00:44:04,640 --> 00:44:07,680 Speaker 2: well be like, no, you're you were definitely trying to 817 00:44:07,680 --> 00:44:10,760 Speaker 2: smuggle this stuff, So I'm going to make an example 818 00:44:10,760 --> 00:44:11,680 Speaker 2: out of you, lady. 819 00:44:12,040 --> 00:44:15,279 Speaker 1: Yeah, And then Gadget's just sitting there just like judging, what. 820 00:44:15,320 --> 00:44:18,719 Speaker 2: Have I done? Yeah, And the lady as they're hauling 821 00:44:18,760 --> 00:44:20,359 Speaker 2: her off to jail, she's like, I would have gotten 822 00:44:20,400 --> 00:44:22,960 Speaker 2: away with it if it hadn't been for your meddling dogs. 823 00:44:25,120 --> 00:44:26,480 Speaker 1: You got anything else I do? 824 00:44:26,520 --> 00:44:28,880 Speaker 2: I have one more thing. I ran across this article, 825 00:44:28,920 --> 00:44:31,600 Speaker 2: I think it was on courts and it said like 826 00:44:31,719 --> 00:44:34,719 Speaker 2: bush meat illegal bush meat could be the cause of 827 00:44:34,760 --> 00:44:36,960 Speaker 2: the next big global pandemic. 828 00:44:37,239 --> 00:44:37,520 Speaker 1: Wow. 829 00:44:37,920 --> 00:44:41,120 Speaker 2: There's apparently a major market for bush meat, which is 830 00:44:41,160 --> 00:44:44,440 Speaker 2: any wild animal meat. Most people think of it as 831 00:44:44,480 --> 00:44:47,560 Speaker 2: like monkey or bat or something like that, but it 832 00:44:47,719 --> 00:44:51,560 Speaker 2: also is like elk or caribou, any illegal meat that's 833 00:44:51,600 --> 00:44:55,680 Speaker 2: basically just being smuggled around. Yeah, there's huge markets for 834 00:44:55,760 --> 00:45:01,319 Speaker 2: it in New York, in London, in Mayland, Europe, and 835 00:45:01,800 --> 00:45:03,680 Speaker 2: people just smuggle it in and a lot of them 836 00:45:04,000 --> 00:45:07,160 Speaker 2: make it through. And these things just get sold behind 837 00:45:07,160 --> 00:45:10,759 Speaker 2: the counter at butcher shops in some cities. And all 838 00:45:10,800 --> 00:45:13,520 Speaker 2: that's going to take is one of those things to 839 00:45:13,640 --> 00:45:19,359 Speaker 2: have a bola and maybe a mutant strain that is 840 00:45:19,400 --> 00:45:24,080 Speaker 2: transmitted a little more easily than a bola light or whatever. 841 00:45:24,120 --> 00:45:27,799 Speaker 2: We have now, and you got a pandemic on your 842 00:45:27,800 --> 00:45:30,560 Speaker 2: hands and we can say thanks a lot. I hope 843 00:45:30,560 --> 00:45:33,759 Speaker 2: you really enjoyed that monkey leg that killed off three 844 00:45:33,880 --> 00:45:38,480 Speaker 2: quarters of the population of humanity of Coross. 845 00:45:38,320 --> 00:45:40,960 Speaker 1: That what those two words? I don't like it. 846 00:45:41,360 --> 00:45:46,560 Speaker 2: I know, I know that's pretty rough. So I guess 847 00:45:46,560 --> 00:45:47,239 Speaker 2: you're done then too. 848 00:45:47,320 --> 00:45:48,080 Speaker 1: Huh, I'm done, sir. 849 00:45:48,320 --> 00:45:50,680 Speaker 2: Okay, Well, if you guys want to know more about 850 00:45:50,719 --> 00:45:54,960 Speaker 2: bush meat or the Beagle Brigade or anything like that, 851 00:45:55,040 --> 00:45:57,920 Speaker 2: type those words in the search bar at HowStuffWorks dot com. 852 00:45:58,280 --> 00:46:00,920 Speaker 2: And since I said search bar, it's time for listener mail. 853 00:46:03,239 --> 00:46:10,359 Speaker 1: I'm going to call this one sad yet happy email. Hey, guys, 854 00:46:10,400 --> 00:46:11,560 Speaker 1: my name is Sam. I wanted to send you an 855 00:46:11,600 --> 00:46:15,000 Speaker 1: email thanking you for your show. The podcast is actually 856 00:46:15,040 --> 00:46:17,040 Speaker 1: a rediscovery for me. My dad used to play it 857 00:46:18,000 --> 00:46:20,479 Speaker 1: back in two thousand and nine when we would drive 858 00:46:20,680 --> 00:46:24,160 Speaker 1: up to the mountain to go skiing. Very fond memories 859 00:46:24,200 --> 00:46:26,120 Speaker 1: of laughing and nerding out with my dad and brothers 860 00:46:26,160 --> 00:46:28,320 Speaker 1: after a great day on the slopes. Can't believe you 861 00:46:28,320 --> 00:46:30,839 Speaker 1: guys are still going strong after eight plus years. There 862 00:46:30,880 --> 00:46:32,960 Speaker 1: is a little more to my rediscovery of your show, though, 863 00:46:32,960 --> 00:46:34,840 Speaker 1: that I wanted to share. It's been four and a 864 00:46:34,880 --> 00:46:36,520 Speaker 1: half years since one of my brothers, who was an 865 00:46:36,560 --> 00:46:41,200 Speaker 1: amazing skier, died tragically to suicide. Since I was in 866 00:46:41,280 --> 00:46:43,520 Speaker 1: college at the time, it didn't have enough time to 867 00:46:43,640 --> 00:46:46,960 Speaker 1: properly grieve. Recently, I've been mulling through many painful memories 868 00:46:47,320 --> 00:46:50,600 Speaker 1: that I ignored in those first three years. However, your show 869 00:46:50,680 --> 00:46:54,640 Speaker 1: unexpectedly brought back really happy ones. It is reminded me 870 00:46:54,640 --> 00:46:57,520 Speaker 1: of the fun adventure in learning our family enjoyed while 871 00:46:57,520 --> 00:46:59,960 Speaker 1: listening to your show when we are skiing. I remember 872 00:47:00,080 --> 00:47:02,640 Speaker 1: laughing hysterically with my family your jokes rolling my eyes 873 00:47:02,640 --> 00:47:04,920 Speaker 1: when my brothers and dad would try to comment on 874 00:47:04,960 --> 00:47:07,480 Speaker 1: your show to sound smart because it was so creepy. 875 00:47:07,480 --> 00:47:10,600 Speaker 1: One of your favorite episodes of ours was the one 876 00:47:10,600 --> 00:47:13,440 Speaker 1: on cannibalism. Being a high schooler at the time, I 877 00:47:13,440 --> 00:47:15,560 Speaker 1: also really liked the show on flirting, so I thought 878 00:47:15,560 --> 00:47:17,960 Speaker 1: I could put it into practice. Needless to say, it 879 00:47:17,960 --> 00:47:21,680 Speaker 1: didn't really work. Now what. This month, I went home 880 00:47:21,719 --> 00:47:23,040 Speaker 1: for a week to visit my parents, and I went 881 00:47:23,040 --> 00:47:25,200 Speaker 1: skiing with my mom and dad, but the first time 882 00:47:25,239 --> 00:47:28,400 Speaker 1: since my brother died. It was very painful, but also 883 00:47:28,520 --> 00:47:32,520 Speaker 1: unimaginably special. When my family and I are on the mountain, 884 00:47:32,560 --> 00:47:35,040 Speaker 1: I feel like I can encounter my brother as he 885 00:47:35,200 --> 00:47:37,600 Speaker 1: was when he was healthy and full of life. Could 886 00:47:37,600 --> 00:47:40,200 Speaker 1: picture him diving down a slope that was way too 887 00:47:40,200 --> 00:47:42,920 Speaker 1: steep with the most enormous grin on his eager face. 888 00:47:43,440 --> 00:47:45,040 Speaker 1: All in all, it was a great day. So I 889 00:47:45,120 --> 00:47:47,040 Speaker 1: just want to say thank you but the hard work 890 00:47:47,080 --> 00:47:50,320 Speaker 1: and providing interesting topics to fill my time, making me laugh, 891 00:47:50,640 --> 00:47:53,640 Speaker 1: but also inadvertently helping me cherish a special time in 892 00:47:53,640 --> 00:47:55,360 Speaker 1: my life. 893 00:47:55,640 --> 00:47:57,880 Speaker 2: I am that was heavy. 894 00:47:58,239 --> 00:48:00,880 Speaker 1: That is from Sam and sends hugs. 895 00:48:01,239 --> 00:48:04,240 Speaker 2: Sam. That is fantastic. Thank you very much for letting 896 00:48:04,320 --> 00:48:08,200 Speaker 2: us know. We appreciate that and our best to your 897 00:48:08,239 --> 00:48:11,759 Speaker 2: whole family. Absolutely, if you want to get in touch, 898 00:48:11,760 --> 00:48:14,160 Speaker 2: with this like Sam did, you can send us an email. 899 00:48:14,160 --> 00:48:17,239 Speaker 2: The Stuff podcast at HowStuffWorks dot Com has always joined 900 00:48:17,320 --> 00:48:19,320 Speaker 2: us at our home on the web, Stuff Youshould Know 901 00:48:19,480 --> 00:48:22,560 Speaker 2: dot Com. 902 00:48:22,680 --> 00:48:25,560 Speaker 1: Stuff You Should Know is a production of iHeartRadio. For 903 00:48:25,640 --> 00:48:29,839 Speaker 1: more podcasts my heart Radio, visit the iHeartRadio app, Apple Podcasts, 904 00:48:29,960 --> 00:48:31,800 Speaker 1: or wherever you listen to your favorite shows.