1 00:00:00,880 --> 00:00:05,600 Speaker 1: Attention anyone with access to an airplane. We're going to 2 00:00:05,680 --> 00:00:09,799 Speaker 1: be in North America for our North American two thousand 3 00:00:09,920 --> 00:00:13,280 Speaker 1: seventeen Stuff you Should Know Live tour, and we're kicking 4 00:00:13,320 --> 00:00:17,000 Speaker 1: it off in Toronto August eight, in Chicago August nine. 5 00:00:17,160 --> 00:00:19,200 Speaker 1: Then we're gonna take a little break and hit Vancouver 6 00:00:19,720 --> 00:00:25,119 Speaker 1: on September and Minneapolis on September. Yep. Then we're doing 7 00:00:25,200 --> 00:00:30,320 Speaker 1: Austin October and Lawrence, Kansas October eleven, and then finally 8 00:00:30,360 --> 00:00:32,880 Speaker 1: we're gonna finish up October at the Three Nights Stand 9 00:00:32,880 --> 00:00:38,040 Speaker 1: at the Bellhouse October, before we wrap it up at 10 00:00:38,080 --> 00:00:41,320 Speaker 1: Home in Atlanta for a special benefit charity show on 11 00:00:41,360 --> 00:00:43,880 Speaker 1: November four at the Bucket Theater. YEP. You can get 12 00:00:43,880 --> 00:00:46,800 Speaker 1: all the info you need and buy tickets at our 13 00:00:47,080 --> 00:00:50,199 Speaker 1: other live show home on the web s y s 14 00:00:50,280 --> 00:00:52,960 Speaker 1: K live dot com. Go check it out and we'll 15 00:00:53,000 --> 00:00:59,080 Speaker 1: see you guys starting in August. Welcome to Stuff you 16 00:00:59,120 --> 00:01:08,160 Speaker 1: Should Know from House Stuff Works dot com. Hey, and 17 00:01:08,240 --> 00:01:12,319 Speaker 1: welcome to the podcast. I'm Josh close Ark, There's Charles W. 18 00:01:12,560 --> 00:01:17,160 Speaker 1: Chuck Bryant, Jerry, Jerome Roland's over there. So this is 19 00:01:17,200 --> 00:01:23,920 Speaker 1: Stuff you Should Know. The Beagle Brigade edition. Yes, and 20 00:01:24,040 --> 00:01:32,600 Speaker 1: another I guess we covered drug sniffers. Yeah, but not 21 00:01:33,480 --> 00:01:37,040 Speaker 1: or did we do Seeing Eye dogs as well? We did, remember, 22 00:01:37,120 --> 00:01:39,400 Speaker 1: because Seeing Eye Dogs is actually a brand name. It's 23 00:01:39,400 --> 00:01:42,840 Speaker 1: one of those, uh like a band aid, yeah, Kleenex 24 00:01:42,959 --> 00:01:46,760 Speaker 1: or something. That one was that was a great one. Yeah. 25 00:01:46,880 --> 00:01:50,720 Speaker 1: So I mean, is this the last job that dogs have? 26 00:01:51,440 --> 00:01:54,040 Speaker 1: You know? We we didn't cover dogs that service pack 27 00:01:54,120 --> 00:01:58,400 Speaker 1: animals yet. So oh that's right. Yeah, like Herder's Yeah, 28 00:01:58,520 --> 00:02:02,000 Speaker 1: they'd be good, or Lumbarde act dogs. Oh that's true, 29 00:02:02,240 --> 00:02:07,800 Speaker 1: that's right, or dogs that are sous chefs. Right. So yeah, 30 00:02:07,840 --> 00:02:10,040 Speaker 1: we've got a big, big, long sweet coming. I thought 31 00:02:10,080 --> 00:02:14,000 Speaker 1: it was done. Sorry, no, no, but this one might 32 00:02:14,000 --> 00:02:16,160 Speaker 1: be the most adorable of all of them. Yeah, and 33 00:02:16,200 --> 00:02:19,400 Speaker 1: this one was. I was always confused. I always thought 34 00:02:19,400 --> 00:02:23,080 Speaker 1: the beagles at the airport, because as you will learn, 35 00:02:23,760 --> 00:02:29,320 Speaker 1: Atlanta is they're they're trained here outside of Atlanta. But 36 00:02:29,400 --> 00:02:32,120 Speaker 1: I thought that that the beagles were. I just thought 37 00:02:32,120 --> 00:02:38,280 Speaker 1: they were drug sniffers everything sniffers. Oh I see No, 38 00:02:38,919 --> 00:02:41,240 Speaker 1: you could have a big old suitcase full of cocaine 39 00:02:41,280 --> 00:02:43,600 Speaker 1: and walk right past that dog and be like, um, 40 00:02:44,320 --> 00:02:46,680 Speaker 1: well that's good to know, you know, sure for the 41 00:02:46,720 --> 00:02:50,600 Speaker 1: next time you're smuggling cocaine. Yeah, once you once you 42 00:02:50,600 --> 00:02:53,360 Speaker 1: make a pest of beagle, you're home free. But don't 43 00:02:53,360 --> 00:02:58,119 Speaker 1: have a head of lettus, no, because those beagles will 44 00:02:58,160 --> 00:03:00,880 Speaker 1: pounce on your neck and chew your throat it out. 45 00:03:01,800 --> 00:03:07,200 Speaker 1: Don't have a whole hog. Can you believe that story? Totally? 46 00:03:08,000 --> 00:03:11,079 Speaker 1: So this one was I think it was in Atlanta, 47 00:03:12,440 --> 00:03:16,840 Speaker 1: that Hartsfield Jackson Airport and there was a woman traveling 48 00:03:16,880 --> 00:03:22,360 Speaker 1: from Peru to the United States with a roasted pig, 49 00:03:22,520 --> 00:03:25,919 Speaker 1: an entire roasted pig in her bag. And I mean 50 00:03:25,960 --> 00:03:29,000 Speaker 1: it was very sweet. You know, she was just trying 51 00:03:29,000 --> 00:03:32,640 Speaker 1: to bring home a holiday meal for her family. It 52 00:03:32,680 --> 00:03:35,600 Speaker 1: was Thanksgiving, I think, right, Yes, she smuggled in the 53 00:03:35,760 --> 00:03:38,560 Speaker 1: roasted big yeah. And it wasn't a little little you know, 54 00:03:38,640 --> 00:03:41,520 Speaker 1: it was big. Well, they have pigs tend to be. 55 00:03:41,920 --> 00:03:44,400 Speaker 1: I mean, it didn't say a suckling pig, a pig. 56 00:03:44,480 --> 00:03:46,840 Speaker 1: I assumed it was a big old pig. It was 57 00:03:46,840 --> 00:03:49,760 Speaker 1: a picture of it. Oh yeah, that's right, but it was. 58 00:03:49,840 --> 00:03:52,440 Speaker 1: It was a good sized pig. Yeah. The guy. Rob Brisley, 59 00:03:53,520 --> 00:03:56,000 Speaker 1: public affairs officer, said the right steps had to be 60 00:03:56,040 --> 00:03:59,600 Speaker 1: taken to confiscate and destroy the item and then the 61 00:03:59,640 --> 00:04:02,520 Speaker 1: Senate stop. But I imagine he said with our mouths 62 00:04:03,240 --> 00:04:08,520 Speaker 1: right with with extreme vengeance. So anyway, I mean that's 63 00:04:08,520 --> 00:04:11,080 Speaker 1: just one example. Yeah, and we should we should probably 64 00:04:11,120 --> 00:04:13,480 Speaker 1: say exactly what we're talking about for those people who 65 00:04:13,560 --> 00:04:16,479 Speaker 1: haven't been to an international airport in the United States. 66 00:04:17,120 --> 00:04:21,240 Speaker 1: But there is a group of working dogs that are 67 00:04:21,279 --> 00:04:24,839 Speaker 1: exclusively beagles, hence the name the Beagle Brigade from what 68 00:04:24,920 --> 00:04:27,480 Speaker 1: I understand, although I did see reference that they do 69 00:04:27,600 --> 00:04:32,120 Speaker 1: use labs sometimes, but I'm pretty sure it's almost exclusively beagles, 70 00:04:32,160 --> 00:04:35,880 Speaker 1: if not exclusively beagles. And these dogs have a job. 71 00:04:35,880 --> 00:04:40,320 Speaker 1: They're actually federal agents with the U s d A, 72 00:04:40,960 --> 00:04:45,800 Speaker 1: the Department of Agriculture, no or not the d e 73 00:04:45,880 --> 00:04:48,920 Speaker 1: A either, but their federal their federal agents, and they 74 00:04:49,000 --> 00:04:54,640 Speaker 1: are Their whole job is to sniff out agricultural products UM. 75 00:04:54,680 --> 00:04:57,039 Speaker 1: And the whole point of all of this is that 76 00:04:57,400 --> 00:05:03,400 Speaker 1: the US UM has a pretty densive agriculture infrastructure, right, 77 00:05:04,320 --> 00:05:10,120 Speaker 1: and if something comes through, Say that's a a pest, right, 78 00:05:10,200 --> 00:05:14,919 Speaker 1: like a bug that eats um, what do we grow here? Cotton? 79 00:05:15,360 --> 00:05:19,680 Speaker 1: Cotton we evil? But from another country? Right, So a 80 00:05:19,720 --> 00:05:27,920 Speaker 1: non native pest or non native plant or a diseased bat. Okay, 81 00:05:28,720 --> 00:05:31,440 Speaker 1: it could wreak havoc not just on our agriculture system, 82 00:05:31,440 --> 00:05:33,400 Speaker 1: but if if the wrong kind of thing comes through, 83 00:05:33,440 --> 00:05:36,919 Speaker 1: Like there's there's procedures in place for for food to 84 00:05:36,960 --> 00:05:39,480 Speaker 1: come into the United States, you're not supposed to carry 85 00:05:39,800 --> 00:05:42,720 Speaker 1: it in your luggage because it has to be inspected. 86 00:05:42,760 --> 00:05:44,800 Speaker 1: It has to come from a trusted source. We have 87 00:05:44,880 --> 00:05:47,719 Speaker 1: to know that it doesn't have something like hoofing math 88 00:05:47,880 --> 00:05:52,080 Speaker 1: disease or a bowl or something like that. Right, Yeah, 89 00:05:52,120 --> 00:05:53,880 Speaker 1: I mean it says in't here are in our own 90 00:05:53,960 --> 00:05:57,160 Speaker 1: article that it's a one trillion dollar industry, our own 91 00:05:57,760 --> 00:06:03,400 Speaker 1: agricultural agricultural product industry, and that's import export, eating it, 92 00:06:03,560 --> 00:06:08,960 Speaker 1: producing it. Um an invasive species can be a hundred 93 00:06:09,480 --> 00:06:13,040 Speaker 1: says about a hundred thirty six billion dollars in agricultural 94 00:06:13,400 --> 00:06:18,240 Speaker 1: lost revenue um IS that annually, I believe, so man, So, 95 00:06:18,440 --> 00:06:21,680 Speaker 1: I mean that's that's a lot of economy at stake here. 96 00:06:21,720 --> 00:06:24,400 Speaker 1: So they take it very seriously. Right. So there's this 97 00:06:24,480 --> 00:06:26,920 Speaker 1: group um so the U s t A, the Department 98 00:06:26,920 --> 00:06:30,480 Speaker 1: of Agriculture here in the US. Um IS has a 99 00:06:30,520 --> 00:06:36,520 Speaker 1: subgroup called APHIS, which is the um animal plant Animal 100 00:06:36,600 --> 00:06:40,440 Speaker 1: and Plant Health Inspection Service, and they're the ones who 101 00:06:40,480 --> 00:06:44,880 Speaker 1: are casket with basically creating this virtual border, this virtual 102 00:06:44,920 --> 00:06:49,120 Speaker 1: barrier um to stuff coming in the US to protect 103 00:06:49,480 --> 00:06:56,279 Speaker 1: agriculture in the US, right, like the notorious Romanian cotton weevil, right, exactly, 104 00:06:56,480 --> 00:07:02,600 Speaker 1: exactly the most insidious of all, and specifically at international airports, 105 00:07:03,160 --> 00:07:08,640 Speaker 1: working in conjunction with the Customs Bureau CPD customers and 106 00:07:08,880 --> 00:07:12,720 Speaker 1: no CBP right, Customs and Border Patrol. You've got these cute, 107 00:07:12,720 --> 00:07:16,280 Speaker 1: adorable little beagles who are trained to sniff this stuff 108 00:07:16,280 --> 00:07:19,640 Speaker 1: out from people who are trying to smuggle whole pigs 109 00:07:19,720 --> 00:07:21,920 Speaker 1: into the into the country when they're not supposed to. 110 00:07:22,280 --> 00:07:27,480 Speaker 1: Bless that lady. I felt bad for you know, yeah, 111 00:07:27,520 --> 00:07:32,320 Speaker 1: I mean I get it, sure, but I mean there's 112 00:07:32,320 --> 00:07:35,600 Speaker 1: no way she did not cry when when the agriculture 113 00:07:35,640 --> 00:07:38,840 Speaker 1: inspector took her whole pig she's going to feed to 114 00:07:38,840 --> 00:07:42,000 Speaker 1: her family with a waste of food. She works so 115 00:07:42,080 --> 00:07:46,720 Speaker 1: hard on that chuck. It might have been like her 116 00:07:46,760 --> 00:07:50,840 Speaker 1: favorite family pig that she was waiting, but it was babe. 117 00:07:51,680 --> 00:07:56,000 Speaker 1: Babe gave his life. Uh So you want to talk 118 00:07:56,040 --> 00:07:59,320 Speaker 1: a little bit about these the history here, because it 119 00:07:59,360 --> 00:08:06,640 Speaker 1: did not UM agricultural agriculture dogs or agricultural detection did 120 00:08:06,680 --> 00:08:10,120 Speaker 1: not start in the US. It actually started in Mexico. Yeah, 121 00:08:11,200 --> 00:08:14,760 Speaker 1: I guess was probably the early seventies. I did. I 122 00:08:14,800 --> 00:08:17,240 Speaker 1: could not find when it started, but yeah, we know 123 00:08:17,360 --> 00:08:20,080 Speaker 1: it's definitely prior to the seventies because based on this, 124 00:08:20,480 --> 00:08:23,000 Speaker 1: I guess it was a U s d A training 125 00:08:23,040 --> 00:08:26,600 Speaker 1: manual that was referencing it. It picks up then in 126 00:08:26,640 --> 00:08:30,200 Speaker 1: the late seventies that the U s d A started this. Yeah, 127 00:08:30,280 --> 00:08:34,320 Speaker 1: and then up until three we use UM. We use 128 00:08:34,400 --> 00:08:37,000 Speaker 1: big dogs, you know, like typically, and I think we 129 00:08:37,120 --> 00:08:39,000 Speaker 1: covered this and a lot of the other like drug 130 00:08:39,000 --> 00:08:42,960 Speaker 1: sniffers like German shepherds and UM labs are certainly good, 131 00:08:43,400 --> 00:08:47,160 Speaker 1: but they are UH labs aren't so intimidating, but German 132 00:08:47,200 --> 00:08:49,199 Speaker 1: shepherds can be. Even though I love them, I grew 133 00:08:49,280 --> 00:08:52,240 Speaker 1: up with them. UM, A lot of people the side 134 00:08:52,240 --> 00:08:54,800 Speaker 1: of a German shepherd coming at them in an airport 135 00:08:55,800 --> 00:08:58,319 Speaker 1: is a little scary. Yeah, I mean, and some people 136 00:08:58,360 --> 00:09:01,840 Speaker 1: have sinophobia, which is a fear of dogs specifically, and 137 00:09:02,080 --> 00:09:04,640 Speaker 1: in which case even the smallest dogs going to scare you. 138 00:09:05,000 --> 00:09:07,880 Speaker 1: But even people who don't have an actual phobia of 139 00:09:07,920 --> 00:09:10,320 Speaker 1: dogs are going to be scared of certain breeds and 140 00:09:10,360 --> 00:09:13,680 Speaker 1: that definitely includes German shepherds for sure. So it started 141 00:09:13,679 --> 00:09:17,920 Speaker 1: in Mexico and then uh, finally in nine four, uh, 142 00:09:18,040 --> 00:09:20,280 Speaker 1: the U s d A U s d A started 143 00:09:20,320 --> 00:09:23,360 Speaker 1: at l A x UM started, which is probably a 144 00:09:23,360 --> 00:09:25,720 Speaker 1: pretty good airport to pick for a for a pilot program, 145 00:09:26,400 --> 00:09:30,920 Speaker 1: not a airplane pilot program, although I'm sure they had those. 146 00:09:32,040 --> 00:09:36,480 Speaker 1: Did you hear about the King of the Netherlands. They 147 00:09:36,520 --> 00:09:41,360 Speaker 1: found out that he has been secretly undercover moonlighting as 148 00:09:41,400 --> 00:09:45,319 Speaker 1: a KLM airline pilot for fun for like the last 149 00:09:45,400 --> 00:09:48,800 Speaker 1: like once a week, um, for like the last twentysomething years, 150 00:09:48,920 --> 00:09:51,760 Speaker 1: and has been flying. Yeah he's yeah, that's what I'm saying. 151 00:09:51,800 --> 00:09:56,040 Speaker 1: Like he's been undercover flying, uh, not as the King 152 00:09:56,120 --> 00:09:58,040 Speaker 1: of the Netherlands, just trying to have a life of 153 00:09:58,080 --> 00:10:01,560 Speaker 1: his own. I thought you met like Leo DiCaprio, didn't 154 00:10:01,600 --> 00:10:03,200 Speaker 1: catch me if you can, he just pretended to be 155 00:10:03,240 --> 00:10:07,600 Speaker 1: a pilot to get based and fake checks. You're a king, 156 00:10:07,720 --> 00:10:10,520 Speaker 1: you can't be a pilot. Wow. So was he was 157 00:10:10,559 --> 00:10:13,200 Speaker 1: did he come clean or was he outed? I guess 158 00:10:13,240 --> 00:10:15,200 Speaker 1: he was outed. And he said from time to time 159 00:10:15,240 --> 00:10:19,800 Speaker 1: somebody would recognize him, but he'd just have them um kidnapped, 160 00:10:20,120 --> 00:10:26,120 Speaker 1: kidnaps and killed rendered. That's pretty crazy. Yeah, well, good 161 00:10:26,120 --> 00:10:28,520 Speaker 1: for him. Yeah they should just let him fly, you know, 162 00:10:29,000 --> 00:10:31,920 Speaker 1: I think, I think so they're gonna work it out, probably, 163 00:10:32,320 --> 00:10:34,840 Speaker 1: I hope. So. If not, that guy's one outlet has 164 00:10:34,880 --> 00:10:38,760 Speaker 1: been taken away from well, so his pilot program is 165 00:10:39,280 --> 00:10:44,040 Speaker 1: maybe failing. But the pilot program in l A X 166 00:10:44,480 --> 00:10:48,160 Speaker 1: worked great, and they m this was a big deal 167 00:10:48,200 --> 00:10:51,680 Speaker 1: at the time too. It was a big change from 168 00:10:51,720 --> 00:10:54,200 Speaker 1: any kind of detection programs that they had at the time. 169 00:10:54,280 --> 00:10:57,480 Speaker 1: I don't know why it took that long, but because 170 00:10:57,559 --> 00:11:01,400 Speaker 1: dogs are, you know, obviously well known snow first to 171 00:11:01,559 --> 00:11:06,320 Speaker 1: the tune of I mean, compared to humans, how many 172 00:11:06,480 --> 00:11:09,680 Speaker 1: millions of olfactory nerves the dogs have? I know it varies. 173 00:11:10,559 --> 00:11:14,400 Speaker 1: So somewhere somewhere in the middle is the docks and 174 00:11:14,640 --> 00:11:18,160 Speaker 1: I didn't see the beagles specifically, but supposedly beagles are 175 00:11:18,160 --> 00:11:20,840 Speaker 1: about average as far as scenting goes, which is surprising 176 00:11:20,880 --> 00:11:23,400 Speaker 1: to me. But the docks and has a hundred and 177 00:11:23,400 --> 00:11:27,960 Speaker 1: twenty five million olfactory receptors amazing, and humans have five 178 00:11:28,040 --> 00:11:31,120 Speaker 1: million on average. And I know the dogs even there 179 00:11:31,120 --> 00:11:33,320 Speaker 1: the size of their nose can make a difference. So 180 00:11:34,360 --> 00:11:36,360 Speaker 1: I was a little surprised they picked beagles. But one 181 00:11:36,400 --> 00:11:38,920 Speaker 1: of the big reasons is a the Navy had used 182 00:11:38,920 --> 00:11:44,080 Speaker 1: them previously, uh to great success. And be like you said, 183 00:11:44,120 --> 00:11:47,199 Speaker 1: you know, they're they're little, they're cute, so they're not 184 00:11:47,240 --> 00:11:50,240 Speaker 1: gonna scare anyone at the airport. Uh. And they can 185 00:11:50,480 --> 00:11:53,640 Speaker 1: they're agile. There's because they're small, and they can jump 186 00:11:53,640 --> 00:11:57,439 Speaker 1: around on a conveyor belt like nobody's business to find 187 00:11:57,480 --> 00:12:02,719 Speaker 1: that Romanian cotton weevil. Right. Sometimes they'll find just enough 188 00:12:02,760 --> 00:12:04,920 Speaker 1: fruit that they'll make a little head dress out of it, 189 00:12:04,960 --> 00:12:08,680 Speaker 1: like Carmen Miranda. Nothing cure, that's a bagle in one 190 00:12:08,679 --> 00:12:13,080 Speaker 1: of those Um. Well. The other cool thing about the 191 00:12:13,080 --> 00:12:17,400 Speaker 1: dogs and their their sniffing abilities is uh, it's like 192 00:12:18,440 --> 00:12:22,040 Speaker 1: you can't disguise something like if you if you have 193 00:12:22,280 --> 00:12:24,760 Speaker 1: of course uh. I was about to say drugs again. 194 00:12:24,800 --> 00:12:26,240 Speaker 1: But if you have, Let's say you want to sneak 195 00:12:26,280 --> 00:12:28,840 Speaker 1: in that cotton weevil and you think I'm gonna hide 196 00:12:28,880 --> 00:12:31,760 Speaker 1: in and a can of coffee. Actually that might be 197 00:12:32,040 --> 00:12:33,600 Speaker 1: you might not be able to bring in coffee either, 198 00:12:33,679 --> 00:12:35,640 Speaker 1: now that I think about it. I was just trying 199 00:12:35,640 --> 00:12:38,360 Speaker 1: to think of something with a strong odor um a 200 00:12:38,400 --> 00:12:42,640 Speaker 1: bottle of perfume. The dog will be able to pick 201 00:12:42,720 --> 00:12:45,280 Speaker 1: that out of that perfume, right, we'll be able to 202 00:12:45,320 --> 00:12:49,880 Speaker 1: almost geo locate it. Uh, because they don't, they don't 203 00:12:49,880 --> 00:12:52,679 Speaker 1: get confused like we do. Yeah, so you know how 204 00:12:52,720 --> 00:12:55,200 Speaker 1: like a dog can when you when you watch a 205 00:12:55,240 --> 00:12:58,160 Speaker 1: dog on a scent, it's just kind of like sniffing 206 00:12:58,200 --> 00:13:01,679 Speaker 1: back and forth in the air is as So what 207 00:13:01,720 --> 00:13:03,840 Speaker 1: it's doing is it's it's basically the same thing with 208 00:13:03,880 --> 00:13:07,160 Speaker 1: our vision, right, the information is getting from one nostril 209 00:13:07,200 --> 00:13:10,040 Speaker 1: and the other nostril. It's brain is putting together to 210 00:13:10,120 --> 00:13:12,760 Speaker 1: create basically like a three D map of where that 211 00:13:12,800 --> 00:13:17,320 Speaker 1: smell is coming from. Just like the the information from 212 00:13:17,360 --> 00:13:20,719 Speaker 1: one eye compared to the information coming into our other 213 00:13:20,800 --> 00:13:25,199 Speaker 1: eye gives us an idea of like depth, right, or perspective, 214 00:13:25,240 --> 00:13:27,520 Speaker 1: that kind of thing. So it's basically the same thing, 215 00:13:27,559 --> 00:13:32,800 Speaker 1: but with their old factory sense um and the put 216 00:13:32,840 --> 00:13:35,319 Speaker 1: on top of that is the fact that they can 217 00:13:35,559 --> 00:13:38,560 Speaker 1: distinguish sense. Like this article, this U S d A 218 00:13:38,600 --> 00:13:42,360 Speaker 1: manual said, when you walk into a kitchen and you 219 00:13:42,440 --> 00:13:47,160 Speaker 1: smell chili, you smell chili, right, Chili's cooking. Put it 220 00:13:47,200 --> 00:13:49,040 Speaker 1: all together. It's chili. That's what you smell is the 221 00:13:49,480 --> 00:13:52,080 Speaker 1: sum of all the parts. Yeah, you know, if you're good, 222 00:13:52,080 --> 00:13:53,440 Speaker 1: you might be able to pick out a thing or 223 00:13:53,440 --> 00:13:57,920 Speaker 1: two maybe like you know, like do I detect Yeah, 224 00:13:58,040 --> 00:14:02,120 Speaker 1: some cumans, But um, a dog will walk in there 225 00:14:02,160 --> 00:14:05,959 Speaker 1: and smell every single one of the ingredients separately, right, 226 00:14:06,160 --> 00:14:08,400 Speaker 1: which is why you can't just take something and try 227 00:14:08,440 --> 00:14:10,880 Speaker 1: to overpower the smell of it with something else. The 228 00:14:10,920 --> 00:14:12,800 Speaker 1: dog will smell the thing that you're using to try 229 00:14:12,840 --> 00:14:16,000 Speaker 1: to overpower with, but it will also smell the other scent. 230 00:14:16,840 --> 00:14:19,840 Speaker 1: Apparently they can smell this thing says they can smell 231 00:14:20,080 --> 00:14:24,360 Speaker 1: table salt in a dilution of one part to ten 232 00:14:24,480 --> 00:14:28,480 Speaker 1: million parts. That's amazing, Isn't that crazy? That is crazy. 233 00:14:28,640 --> 00:14:30,480 Speaker 1: That's also why if you've ever taken your dog to 234 00:14:30,560 --> 00:14:35,400 Speaker 1: a new um, like a new really new environment that 235 00:14:35,480 --> 00:14:38,080 Speaker 1: they've never been to, like the beach. For instance, when 236 00:14:38,080 --> 00:14:40,600 Speaker 1: I took I think a couple of years ago, we 237 00:14:40,640 --> 00:14:44,480 Speaker 1: did a beach vacation and took our dogs and uh, 238 00:14:44,640 --> 00:14:46,880 Speaker 1: they were going crazy, Like they walk them down to 239 00:14:46,920 --> 00:14:49,600 Speaker 1: the beach and it was just nose in the air. 240 00:14:49,800 --> 00:14:51,840 Speaker 1: Because you know, there's always a good breeze or usually 241 00:14:51,920 --> 00:14:54,480 Speaker 1: a good breeze on the beach. And I can imagine 242 00:14:54,520 --> 00:14:57,240 Speaker 1: they were just they were smelling these just hundreds and 243 00:14:57,320 --> 00:15:00,840 Speaker 1: hundreds of things that they've never smelled before. Yeah. Uh, 244 00:15:00,880 --> 00:15:02,240 Speaker 1: And it's pretty neat to see, and you kind of 245 00:15:02,240 --> 00:15:05,160 Speaker 1: wonder what's going on. And that lunkhead of theirs, you know, 246 00:15:07,160 --> 00:15:10,160 Speaker 1: ca'se one luckhead and one smart one. I've seen before. 247 00:15:10,360 --> 00:15:13,280 Speaker 1: Um that when a dog is sniffing out a tree, 248 00:15:14,160 --> 00:15:16,520 Speaker 1: what you're watching them do is sniff you know, the 249 00:15:16,520 --> 00:15:19,840 Speaker 1: tree itself, but also every single insect in that tree, 250 00:15:19,960 --> 00:15:22,480 Speaker 1: every bird in that tree, everything that's in that tree. 251 00:15:22,560 --> 00:15:24,960 Speaker 1: Right then that dog is smelling that. Yeah. And and 252 00:15:25,040 --> 00:15:29,280 Speaker 1: and I think it definitely varies because obviously some dogs 253 00:15:29,320 --> 00:15:32,320 Speaker 1: are better, like hunting dogs and such. And the my 254 00:15:32,400 --> 00:15:37,440 Speaker 1: new dog, Nico, we think maybe part plothound. What's there 255 00:15:38,280 --> 00:15:41,320 Speaker 1: just like a you know, a hound. Okay, I mean 256 00:15:41,320 --> 00:15:45,360 Speaker 1: you can look up platound and it looks like my dog. Okay, alright, 257 00:15:45,400 --> 00:15:47,320 Speaker 1: but like a mix of a plathound. But I think 258 00:15:47,360 --> 00:15:50,240 Speaker 1: that they're like really good um sent dogs too, because she, 259 00:15:50,720 --> 00:15:53,200 Speaker 1: more so than other dogs I've had, is really driven 260 00:15:53,200 --> 00:15:55,880 Speaker 1: by her nose and when you let her out, she's 261 00:15:56,040 --> 00:15:58,520 Speaker 1: got her nose to the ground like for quite a while. 262 00:15:59,160 --> 00:16:02,320 Speaker 1: I was reading today about scent tracking, and apparently it's 263 00:16:02,320 --> 00:16:05,200 Speaker 1: something like some people like to do agility stuff with 264 00:16:05,200 --> 00:16:09,840 Speaker 1: their dog, or other people do like obedience like competitions 265 00:16:09,880 --> 00:16:12,800 Speaker 1: and stuff, and then other people and apparently this also 266 00:16:12,920 --> 00:16:14,360 Speaker 1: is a really good thing to do. If you found 267 00:16:14,400 --> 00:16:17,880 Speaker 1: your your dog is like no good at obedience, they 268 00:16:17,960 --> 00:16:22,760 Speaker 1: might actually love scent tracking because unlike the obedience stuff 269 00:16:22,880 --> 00:16:26,520 Speaker 1: or the agility stuff, when you're when you're scent tracking, 270 00:16:26,520 --> 00:16:29,480 Speaker 1: the dog is totally in charge, like you're basically following 271 00:16:29,480 --> 00:16:33,120 Speaker 1: the dog, but you're doing it together, especially during training 272 00:16:33,160 --> 00:16:35,960 Speaker 1: as well. Well, you know, they say if your dog 273 00:16:36,320 --> 00:16:39,680 Speaker 1: has behavioral problems, and a lot of times that means 274 00:16:39,720 --> 00:16:41,880 Speaker 1: they have a job that they're not being they're not 275 00:16:41,920 --> 00:16:44,120 Speaker 1: allowed to do. Oh yeah, that makes sense. You know, 276 00:16:44,360 --> 00:16:47,680 Speaker 1: Like if you have a herding dog that doesn't have 277 00:16:47,720 --> 00:16:50,440 Speaker 1: a herd, then that might be a big pain in 278 00:16:50,440 --> 00:16:52,880 Speaker 1: your butt until you can find a way to kind 279 00:16:52,880 --> 00:16:56,480 Speaker 1: of let them. I don't know, they can not necessarily 280 00:16:56,960 --> 00:17:00,000 Speaker 1: part time as a hurter, but do something that acts 281 00:17:00,000 --> 00:17:02,000 Speaker 1: as a hurder, you know, might as well make some 282 00:17:02,040 --> 00:17:04,960 Speaker 1: money off of it. Uh, you wanna take a little break. 283 00:17:05,400 --> 00:17:07,320 Speaker 1: M all right, We're gonna take a break and get 284 00:17:07,320 --> 00:17:25,320 Speaker 1: back to the beagles right after this. M alright, chuck, 285 00:17:25,359 --> 00:17:28,040 Speaker 1: So we're back. So we were talking basically about dogs 286 00:17:28,040 --> 00:17:32,239 Speaker 1: in general, but since the U. S d A has 287 00:17:32,280 --> 00:17:36,240 Speaker 1: been training beagles for its Beagle Brigade, right, which is 288 00:17:36,240 --> 00:17:42,800 Speaker 1: this frontline covering America's agricultural infrastructure. That is correct. So 289 00:17:43,040 --> 00:17:47,760 Speaker 1: um I was very heartened to learn from researching this 290 00:17:47,960 --> 00:17:52,480 Speaker 1: that the beagle Brigades, specifically with the U. S d A, 291 00:17:52,480 --> 00:17:56,639 Speaker 1: all of them come from shelters. They're all shelter animals. Yeah, 292 00:17:56,840 --> 00:17:58,639 Speaker 1: and you know what, it kind of makes sense. At first, 293 00:17:58,680 --> 00:18:00,080 Speaker 1: I just thought it was out of the kind of 294 00:18:00,080 --> 00:18:03,639 Speaker 1: of their heart that they wouldn't like support the dog 295 00:18:03,720 --> 00:18:07,480 Speaker 1: buying industry, but they they a lot of times just 296 00:18:07,520 --> 00:18:11,159 Speaker 1: get problem dogs, these beagles that are so like you know, 297 00:18:11,320 --> 00:18:14,480 Speaker 1: up in the business in your pantry or your refrigerator, 298 00:18:14,640 --> 00:18:17,040 Speaker 1: or sniffing out your shoes so they can chew them up. 299 00:18:17,440 --> 00:18:21,399 Speaker 1: People will you know, uh, well, I have opinions on this, 300 00:18:21,520 --> 00:18:23,760 Speaker 1: but people will turn that dog back in or whatever 301 00:18:24,160 --> 00:18:29,760 Speaker 1: to be adopted, hopefully from a no kill shelter. Very 302 00:18:29,800 --> 00:18:32,280 Speaker 1: so then that's a that's a big point that this 303 00:18:32,560 --> 00:18:35,600 Speaker 1: um USD a spokesperson makes in the House to Works 304 00:18:35,680 --> 00:18:38,320 Speaker 1: article is like a lot of people are saying, I'm 305 00:18:38,320 --> 00:18:40,120 Speaker 1: not quite sure how I feel about this. You guys 306 00:18:40,119 --> 00:18:46,720 Speaker 1: are using these dogs as tools basically, UM, and I 307 00:18:46,760 --> 00:18:49,040 Speaker 1: don't know. I don't think dogs should be used that way. 308 00:18:49,040 --> 00:18:52,240 Speaker 1: And the the u s d's responses what a lot 309 00:18:52,280 --> 00:18:54,439 Speaker 1: of these dogs would would basically be put down if 310 00:18:54,480 --> 00:18:57,160 Speaker 1: it weren't for us. You know, they would be euthanized 311 00:18:57,720 --> 00:19:02,399 Speaker 1: because they can't they're too hyper to to live with 312 00:19:02,440 --> 00:19:05,679 Speaker 1: a family. But there's exactly the kind of temperament we 313 00:19:05,760 --> 00:19:09,040 Speaker 1: need for what we're having them do. So actually it's 314 00:19:09,080 --> 00:19:11,880 Speaker 1: win win for everybody. Well yeah, and and as much 315 00:19:11,880 --> 00:19:14,560 Speaker 1: as I love my dogs laying around in bed with me, 316 00:19:15,240 --> 00:19:19,760 Speaker 1: um a happy dog, it's a dog that's working and exercising, um. 317 00:19:20,119 --> 00:19:21,960 Speaker 1: And then at the end of the night they get 318 00:19:21,960 --> 00:19:25,600 Speaker 1: to relax. But you know, it's easy to and we 319 00:19:25,600 --> 00:19:27,760 Speaker 1: we cover some of this and uh and seeing eye 320 00:19:27,800 --> 00:19:29,800 Speaker 1: dogs and stuff, it's easy to be like, oh man, 321 00:19:29,800 --> 00:19:32,159 Speaker 1: that dog doesn't get to have fun all day, and 322 00:19:32,240 --> 00:19:33,919 Speaker 1: that's just not true at all. These dogs have a 323 00:19:33,960 --> 00:19:36,640 Speaker 1: purpose and they Uh, they're good at what they do. 324 00:19:36,680 --> 00:19:38,000 Speaker 1: Is so I don't don't think of it as like 325 00:19:38,200 --> 00:19:41,600 Speaker 1: using this dog as a tool UM in a bad way, 326 00:19:41,880 --> 00:19:44,680 Speaker 1: you know, right. And then on the other end of it, 327 00:19:45,080 --> 00:19:49,120 Speaker 1: if the dog is brought into the program and they 328 00:19:49,160 --> 00:19:53,000 Speaker 1: find out that the dog doesn't have what it takes, UM, 329 00:19:53,000 --> 00:19:56,399 Speaker 1: maybe it doesn't work very well amidst chaos that like 330 00:19:56,440 --> 00:20:02,639 Speaker 1: an airport always has, or um, perhaps the the the 331 00:20:02,720 --> 00:20:06,120 Speaker 1: dog just seems unhappy. They say, if the dog seems unhappy, 332 00:20:06,240 --> 00:20:10,480 Speaker 1: they'll retire it early. Uh. At any rate, they have 333 00:20:10,640 --> 00:20:16,000 Speaker 1: apparently a record of adopting out their beagles and there's 334 00:20:16,040 --> 00:20:19,919 Speaker 1: a waitlist right now, UM to adopt these beagles that 335 00:20:20,000 --> 00:20:23,399 Speaker 1: have have worked for you know, several years or or 336 00:20:23,520 --> 00:20:26,080 Speaker 1: didn't work, didn't make it, but you know, entered into 337 00:20:26,119 --> 00:20:28,840 Speaker 1: the program. They don't return them to shelters, they don't 338 00:20:28,840 --> 00:20:31,960 Speaker 1: euthanize them. They adopt them out. And apparently the USDA 339 00:20:32,040 --> 00:20:34,720 Speaker 1: has a hundred percent adoption record on that, which is 340 00:20:34,760 --> 00:20:39,120 Speaker 1: pretty outstanding. Yeah. And as with a lot of service dogs, UM, 341 00:20:39,200 --> 00:20:42,800 Speaker 1: their first uh, their handlers given first right of refusal 342 00:20:42,840 --> 00:20:47,760 Speaker 1: for adoption, UM, which they do, so you know, but yeah, 343 00:20:47,800 --> 00:20:51,399 Speaker 1: I would guess so too, because apparently when the dog 344 00:20:51,560 --> 00:20:56,760 Speaker 1: and the handler are paired up together as a team, um, 345 00:20:56,880 --> 00:20:59,960 Speaker 1: they they stay a team for the dog's whole career. 346 00:21:00,920 --> 00:21:04,679 Speaker 1: It's like like Riggs and Myrtal, right, or Turner and Hooch. 347 00:21:05,000 --> 00:21:06,919 Speaker 1: Actually it's not like Ricks and Murtalk because they were 348 00:21:06,920 --> 00:21:10,879 Speaker 1: prepared at the very end of Danny Glover's career. So 349 00:21:10,920 --> 00:21:12,960 Speaker 1: that was a bad announce. Oh that's right, that's true 350 00:21:13,040 --> 00:21:16,720 Speaker 1: because he's too old for that crap. Yes, that was 351 00:21:16,760 --> 00:21:18,760 Speaker 1: a big line. Yeah, that was a great line, and 352 00:21:18,840 --> 00:21:22,880 Speaker 1: that a TV show. Now, I don't think it is anymore. 353 00:21:23,280 --> 00:21:27,800 Speaker 1: Jerry's nodding, but that probably means you're both right short lived. 354 00:21:28,440 --> 00:21:31,080 Speaker 1: I think so. I haven't seen any ads for it lately. 355 00:21:31,119 --> 00:21:33,640 Speaker 1: What a dumb idea, like, hey, let's dust this thing off. 356 00:21:36,280 --> 00:21:39,800 Speaker 1: They do that with everything like twin Peaks even it's like, how, 357 00:21:39,880 --> 00:21:41,560 Speaker 1: how come on, how are you going to pick that 358 00:21:41,600 --> 00:21:44,400 Speaker 1: back up? Let's just I don't mind that, because that's 359 00:21:44,480 --> 00:21:48,200 Speaker 1: just more greatness from David Lynch. Is it any good 360 00:21:48,240 --> 00:21:51,200 Speaker 1: I've heard? Not necessarily. I think it's great. I mean 361 00:21:51,359 --> 00:21:54,000 Speaker 1: it's uh, I mean, I'm a fan of anything David 362 00:21:54,080 --> 00:21:57,120 Speaker 1: Lynch does. It doesn't I didn't expect it to be 363 00:21:58,000 --> 00:22:00,760 Speaker 1: exactly what Twin Peaks was. It just feels like a 364 00:22:00,800 --> 00:22:04,919 Speaker 1: new TV show from David Lynch to me. Really okay, 365 00:22:04,960 --> 00:22:07,439 Speaker 1: you know, yeah, I could be down with that. UM. 366 00:22:07,440 --> 00:22:10,879 Speaker 1: All right, so let's get into this. You mentioned handlers. 367 00:22:11,560 --> 00:22:14,800 Speaker 1: We've been dancing around this the whole time. You mentioned handlers, 368 00:22:14,840 --> 00:22:18,240 Speaker 1: And uh, this, like we said earlier, this takes place 369 00:22:18,280 --> 00:22:23,320 Speaker 1: at a place called the National Detector Dog Training Center 370 00:22:23,440 --> 00:22:29,400 Speaker 1: the ind d TC, right here in Lovely Noon in Georgia, which, 371 00:22:29,680 --> 00:22:33,879 Speaker 1: uh is that west? I think it's south Atlanta, west southwest, 372 00:22:34,200 --> 00:22:38,240 Speaker 1: like just down eighty five after it splits off. My 373 00:22:38,320 --> 00:22:40,400 Speaker 1: knowledge of my own home state is pretty poor. If 374 00:22:40,400 --> 00:22:43,240 Speaker 1: I haven't camped there and it's outside of Atlanta, I 375 00:22:43,320 --> 00:22:45,720 Speaker 1: probably don't know exactly where it is. I'm pretty sure 376 00:22:45,760 --> 00:22:50,760 Speaker 1: I'm right, okay, southwest. Then let's go with that, um. 377 00:22:50,800 --> 00:22:53,879 Speaker 1: And they start training. Like with most service dogs, they 378 00:22:53,960 --> 00:22:57,000 Speaker 1: do that initial testing to just sort of see are 379 00:22:57,000 --> 00:22:59,640 Speaker 1: they healthy, do they have the right temperament, how's their 380 00:22:59,680 --> 00:23:02,639 Speaker 1: behavior here? And that initial screening is where the first 381 00:23:02,760 --> 00:23:06,800 Speaker 1: lot gets weeded out. And one of the biggest parts 382 00:23:06,800 --> 00:23:09,359 Speaker 1: of that initial weeding out is they have to have 383 00:23:09,400 --> 00:23:12,400 Speaker 1: a high food drive. And that's not that doesn't mean 384 00:23:13,040 --> 00:23:16,080 Speaker 1: how hungry are they? That means your dog has just 385 00:23:16,200 --> 00:23:19,720 Speaker 1: been fed. Those little beagles just eaten, they still have 386 00:23:19,800 --> 00:23:22,280 Speaker 1: a high desire to get to where the food is 387 00:23:22,680 --> 00:23:26,600 Speaker 1: like bacon, bacon. Basically that's what you're looking for. And 388 00:23:26,640 --> 00:23:28,440 Speaker 1: you make a lot of noise and you have crowds 389 00:23:28,480 --> 00:23:32,239 Speaker 1: around and you just you're testing their focus. And this 390 00:23:32,280 --> 00:23:34,520 Speaker 1: is all just the like I said, the initial screening 391 00:23:35,040 --> 00:23:38,199 Speaker 1: to say, all right, little Henry the beagle here has 392 00:23:38,240 --> 00:23:41,960 Speaker 1: what it takes, right, we think, yeah, well, yeah, that's 393 00:23:42,000 --> 00:23:46,960 Speaker 1: just the start. Can he also learn to differentiate? That's 394 00:23:47,000 --> 00:23:49,119 Speaker 1: the big one. That's the next big step, right, So 395 00:23:49,160 --> 00:23:51,280 Speaker 1: I think there's like a one or two week like 396 00:23:51,320 --> 00:23:55,720 Speaker 1: evaluation UM process. They also like give the dog a 397 00:23:55,800 --> 00:24:01,280 Speaker 1: full like veterinarian inspection UM. I believe they spay and 398 00:24:01,560 --> 00:24:05,560 Speaker 1: or neuter. I guess not and or specifically not and 399 00:24:05,840 --> 00:24:08,879 Speaker 1: or in that case, or they they spay or newter 400 00:24:08,960 --> 00:24:11,639 Speaker 1: to the dog. UM. A lot of times the dogs 401 00:24:11,680 --> 00:24:15,199 Speaker 1: come in not very good shape because they're shelter dogs. 402 00:24:15,640 --> 00:24:19,760 Speaker 1: They probably weren't taken very good care of UM early 403 00:24:19,840 --> 00:24:22,600 Speaker 1: in their life, so they may need some sort of 404 00:24:22,600 --> 00:24:26,560 Speaker 1: treatment or checkups or whatever. But then after that happens, 405 00:24:26,600 --> 00:24:30,720 Speaker 1: the training actually starts and the dogs are trained to scent. 406 00:24:31,560 --> 00:24:34,040 Speaker 1: I guess, starting out from what I saw five basic 407 00:24:34,160 --> 00:24:38,480 Speaker 1: restricted sense that didn't expect these? Would you know it's 408 00:24:39,119 --> 00:24:44,120 Speaker 1: it's rando? Oh is it? No? No, it's random. Oh 409 00:24:44,200 --> 00:24:48,600 Speaker 1: I thought they were. I thought there were five cents. No, 410 00:24:48,720 --> 00:24:51,200 Speaker 1: there are, And I'm saying that's a pretty random assemblage. 411 00:24:51,880 --> 00:24:55,040 Speaker 1: I got you, man, you'd think after nine years together. 412 00:24:56,359 --> 00:24:58,879 Speaker 1: But I mean, if you were to have picked five cents, 413 00:24:58,960 --> 00:25:02,160 Speaker 1: I probably would have definitely picked beef, pork and citrus. 414 00:25:03,119 --> 00:25:06,200 Speaker 1: Does makes sense? I guess I would have picked like monkey, 415 00:25:06,400 --> 00:25:13,000 Speaker 1: bat and probably pig two. Yeah, but I mean those 416 00:25:13,040 --> 00:25:15,879 Speaker 1: are in there so well, the monkey and the bad aren't. 417 00:25:15,920 --> 00:25:20,960 Speaker 1: But um, beef, pork, citrus, the mango. Yeah, that's where 418 00:25:20,960 --> 00:25:24,280 Speaker 1: are you threw me? What was the other one? Apple? Apple? 419 00:25:24,840 --> 00:25:27,040 Speaker 1: With apple? I didn't even know they grew apples outside 420 00:25:27,080 --> 00:25:29,359 Speaker 1: of the United States. I was trying to smuggle an 421 00:25:29,359 --> 00:25:32,359 Speaker 1: apple into the US. I don't know. We got the 422 00:25:32,400 --> 00:25:34,720 Speaker 1: best ones here, buddy, Just leave him at home. Yeah, 423 00:25:34,760 --> 00:25:36,600 Speaker 1: I would love to know why those are the five 424 00:25:36,640 --> 00:25:40,359 Speaker 1: basic sense Um, if someone has more information that because 425 00:25:40,359 --> 00:25:42,600 Speaker 1: I could not find out. I could not either. There's 426 00:25:42,600 --> 00:25:46,399 Speaker 1: a real dearth of um of information on the stuff. 427 00:25:46,400 --> 00:25:50,679 Speaker 1: I even emailed the Customs and Border Protection today because 428 00:25:50,960 --> 00:25:53,919 Speaker 1: I could not, for the life of me find the 429 00:25:54,040 --> 00:25:57,200 Speaker 1: name of that first beagle that that started out at 430 00:25:57,400 --> 00:26:03,280 Speaker 1: L A X. Cannot find anywhere that somebody forgot to 431 00:26:03,320 --> 00:26:07,080 Speaker 1: write it down. So no one knows you're being tracked 432 00:26:07,119 --> 00:26:10,479 Speaker 1: now probably Oh yeah, I've been looking up like, you know, 433 00:26:10,800 --> 00:26:15,880 Speaker 1: restricted items, agriculture, invasive species, stuff like that. I'm sure 434 00:26:15,960 --> 00:26:18,080 Speaker 1: I'm on a list, all right. So they teach them 435 00:26:18,080 --> 00:26:21,000 Speaker 1: those uh, well, this is you know, towards the end, 436 00:26:21,080 --> 00:26:23,080 Speaker 1: is when they know this five basic sents. At first, 437 00:26:23,119 --> 00:26:27,320 Speaker 1: there just basically teaching them how to sniff through bags 438 00:26:27,359 --> 00:26:30,520 Speaker 1: and suitcases and boxes and making sure they can. You know, 439 00:26:30,560 --> 00:26:33,080 Speaker 1: they'll throw a they'll throw a goat head in a 440 00:26:33,119 --> 00:26:38,960 Speaker 1: suitcase and send it through in noon in and you laugh. 441 00:26:39,040 --> 00:26:40,760 Speaker 1: But one of them found a goat head not too 442 00:26:40,840 --> 00:26:44,080 Speaker 1: long ago. So it happens, um and they just make 443 00:26:44,119 --> 00:26:46,320 Speaker 1: sure they can do that, and they eventually and then 444 00:26:46,359 --> 00:26:48,600 Speaker 1: of course they have to differentiate, like there's a lot 445 00:26:48,640 --> 00:26:50,880 Speaker 1: of things that are scented, like those things that are 446 00:26:50,920 --> 00:26:55,560 Speaker 1: just fine, like an orange perfume. Right. Well, that's another 447 00:26:55,560 --> 00:26:57,639 Speaker 1: that's a gotta be kind of tough to learn for 448 00:26:57,680 --> 00:27:01,080 Speaker 1: a dog too. Is the difference between you know, orange 449 00:27:01,119 --> 00:27:03,520 Speaker 1: scented stuff for things that are made with like say, 450 00:27:03,640 --> 00:27:07,120 Speaker 1: orange essence, like a a candy or a lip bomb 451 00:27:07,240 --> 00:27:10,760 Speaker 1: or something like that, and an actual orange Because the 452 00:27:10,960 --> 00:27:15,320 Speaker 1: lip bomb, no problem. Actual orange you've got a problem, 453 00:27:15,359 --> 00:27:18,399 Speaker 1: that's right. And once they've done this, this is about 454 00:27:18,400 --> 00:27:22,199 Speaker 1: a oh, a few months, probably ten to thirteen weeks 455 00:27:23,000 --> 00:27:25,800 Speaker 1: UM and this is uh and they're being trained in 456 00:27:25,920 --> 00:27:30,160 Speaker 1: regular like how to paw that stuff and and alert 457 00:27:30,840 --> 00:27:35,040 Speaker 1: and uh sitting responses like all of this is one 458 00:27:35,080 --> 00:27:37,520 Speaker 1: big learning period and the handler is getting trained as 459 00:27:37,520 --> 00:27:40,240 Speaker 1: well obviously. But at the end of this is when 460 00:27:40,240 --> 00:27:44,320 Speaker 1: they finally do graduate to those five basic sense um. 461 00:27:44,359 --> 00:27:46,679 Speaker 1: And I guess see what I don't get it from 462 00:27:46,680 --> 00:27:49,360 Speaker 1: the basic senses? Is it from those sense that they 463 00:27:49,359 --> 00:27:53,600 Speaker 1: can smell anything? No, that's crazy. That's what I thought too. There, 464 00:27:53,800 --> 00:27:56,359 Speaker 1: That's that's what it implies. Like if you put together 465 00:27:56,440 --> 00:28:01,120 Speaker 1: apple and pig and the mango, you've got like bad. 466 00:28:01,760 --> 00:28:04,360 Speaker 1: But that's not the case. Like each thing has its 467 00:28:04,359 --> 00:28:07,159 Speaker 1: own scent. I don't know if those are like the 468 00:28:07,200 --> 00:28:11,080 Speaker 1: most commonly smuggled ones. Possibly maybe so those are the 469 00:28:11,119 --> 00:28:13,000 Speaker 1: ones they need to start out with. Maybe they're the 470 00:28:13,000 --> 00:28:15,960 Speaker 1: easiest ones. I don't know, but I yeah, if you 471 00:28:16,000 --> 00:28:19,320 Speaker 1: put those things together, especially if a dog smells in 472 00:28:19,400 --> 00:28:22,680 Speaker 1: layers right and differentiates between sins, it's not gonna smell 473 00:28:22,720 --> 00:28:25,080 Speaker 1: the combined sent of those things. That's gonna smell each thing. 474 00:28:25,200 --> 00:28:28,080 Speaker 1: So I'm not sure why those are the five basic ones. 475 00:28:28,359 --> 00:28:31,560 Speaker 1: Can't find out this one was a stone wall. I mean, 476 00:28:31,600 --> 00:28:34,760 Speaker 1: like we're professional researchers here, and like we really ran 477 00:28:34,800 --> 00:28:37,320 Speaker 1: into a wall. Who would have known that the beagle 478 00:28:37,359 --> 00:28:40,720 Speaker 1: brigade is what would throw us, it would break us. 479 00:28:40,840 --> 00:28:44,440 Speaker 1: Uh So they've learned all these sense they've learned how 480 00:28:44,440 --> 00:28:47,600 Speaker 1: to alert, they're getting treats, are getting positive reinforcement along 481 00:28:47,640 --> 00:28:50,440 Speaker 1: the way. Yeah, that's a big one to the entire 482 00:28:50,520 --> 00:28:53,800 Speaker 1: training is strictly positive reinforcement. Yeah, they don't they don't 483 00:28:54,080 --> 00:28:57,120 Speaker 1: beat these dogs down. They're not smelling correctly. They have 484 00:28:57,280 --> 00:29:00,160 Speaker 1: like they spend ten grand a month on newspaper to 485 00:29:00,280 --> 00:29:06,080 Speaker 1: roll up teach these dogs lessons puppy bounder. Uh So 486 00:29:06,160 --> 00:29:10,480 Speaker 1: once they once they've gone through all of that, um, 487 00:29:10,520 --> 00:29:13,920 Speaker 1: everyone knows I'm joking, right, yeah, And if you're new 488 00:29:13,960 --> 00:29:16,360 Speaker 1: to the podcast and don't just don't even bother emailing. 489 00:29:16,840 --> 00:29:20,520 Speaker 1: We're great animal lovers here. Um. So, once they've they've 490 00:29:20,560 --> 00:29:23,520 Speaker 1: gone through this whole training process, they finally graduate, they 491 00:29:23,560 --> 00:29:27,200 Speaker 1: get their little diploma, their little hat and their little robe, 492 00:29:27,920 --> 00:29:29,680 Speaker 1: and they graduate from noon In and they get to 493 00:29:29,720 --> 00:29:36,000 Speaker 1: move to the big city Atlanta or anywhere any international airport, 494 00:29:36,040 --> 00:29:39,280 Speaker 1: but Atlanta certainly is a large one for sure. Um. 495 00:29:39,360 --> 00:29:43,120 Speaker 1: And so once they get to their home base airport 496 00:29:43,200 --> 00:29:46,400 Speaker 1: that they're going to be working at, they're still evaluated 497 00:29:46,440 --> 00:29:51,000 Speaker 1: and trained for another sometimes ten to thirteen weeks. YEA. 498 00:29:51,080 --> 00:29:53,160 Speaker 1: Training is kind of ongoing from what I saw too 499 00:29:53,360 --> 00:29:56,440 Speaker 1: like career, you know, yeah, there's there's not like the okay, 500 00:29:56,520 --> 00:30:01,280 Speaker 1: stop learning dog, Yeah you know too much. UM. But 501 00:30:01,320 --> 00:30:05,680 Speaker 1: the I think the initial training period they're they're basic 502 00:30:05,840 --> 00:30:08,480 Speaker 1: training still can go on for another ten to thirteen 503 00:30:08,520 --> 00:30:11,840 Speaker 1: weeks after they get to the airport. And even once 504 00:30:11,880 --> 00:30:14,120 Speaker 1: they get to the airport, that doesn't necessarily mean that 505 00:30:14,440 --> 00:30:18,000 Speaker 1: they're going to, um stay in the program again. Once 506 00:30:18,040 --> 00:30:23,040 Speaker 1: they're finally introduced to the chaos of an international airport, 507 00:30:23,760 --> 00:30:26,360 Speaker 1: that dog might just be like this is not for me, 508 00:30:26,440 --> 00:30:29,560 Speaker 1: send me back to noon In. Yeah, you know, you 509 00:30:29,600 --> 00:30:32,240 Speaker 1: can try to duplicate that chaos and noon In, but yeah, 510 00:30:32,360 --> 00:30:35,680 Speaker 1: good luck, you just can't. I mean even you just can't. 511 00:30:35,760 --> 00:30:39,320 Speaker 1: There's nothing like a busy airport. You can't recreate that. 512 00:30:39,960 --> 00:30:42,240 Speaker 1: So some dogs are fine with it, some dogs are not. 513 00:30:42,280 --> 00:30:45,120 Speaker 1: But again, one of the main reasons why they're choosing 514 00:30:45,160 --> 00:30:49,040 Speaker 1: beagles is because it is so chaotic and these dogs 515 00:30:49,280 --> 00:30:52,520 Speaker 1: are their whole thing is they're not there like a 516 00:30:52,560 --> 00:30:56,120 Speaker 1: male processing facility. They're not there like a border crossing. 517 00:30:56,360 --> 00:30:59,320 Speaker 1: There there at a busy airport, and they're they're meant 518 00:30:59,320 --> 00:31:01,080 Speaker 1: to be able to kind know, weave in and out 519 00:31:01,080 --> 00:31:04,880 Speaker 1: of this the crowd while also being non threatening and 520 00:31:04,920 --> 00:31:07,680 Speaker 1: also being lovable too. Like that's not that's not by 521 00:31:07,720 --> 00:31:11,400 Speaker 1: accident that they chose these incredibly adorable dogs. The U 522 00:31:11,480 --> 00:31:14,320 Speaker 1: s d A says that the Beagle Brigade is basically 523 00:31:14,360 --> 00:31:17,840 Speaker 1: like a walking lovable advertiser for what they're trying to do, 524 00:31:17,920 --> 00:31:21,080 Speaker 1: which is protect agriculture here in the US. Yeah, they 525 00:31:21,080 --> 00:31:24,920 Speaker 1: have a little vest, says Beagle Brigade, And uh, everyone 526 00:31:25,120 --> 00:31:28,320 Speaker 1: using OZ and some people if you're not, this is 527 00:31:28,360 --> 00:31:30,920 Speaker 1: probably how they do it. If you're not actively ooing 528 00:31:30,920 --> 00:31:34,640 Speaker 1: and eyeing, and you're standing there sweating heavily. Then the 529 00:31:34,680 --> 00:31:36,720 Speaker 1: dog keys in on you. So I'd be in big trouble. 530 00:31:37,320 --> 00:31:38,680 Speaker 1: And I don't know if you said it or not, 531 00:31:38,720 --> 00:31:41,200 Speaker 1: if you did it and catch it. But the dogs 532 00:31:41,200 --> 00:31:46,520 Speaker 1: are trained, um to walk up to to locate a 533 00:31:46,560 --> 00:31:51,000 Speaker 1: contraband item and sit at the bag. Yeah, yeah, they. 534 00:31:51,000 --> 00:31:53,640 Speaker 1: I thought they attacked the person first. It's called the 535 00:31:53,840 --> 00:31:58,080 Speaker 1: passive indicating but rather than I saw in this article, 536 00:31:58,080 --> 00:32:00,520 Speaker 1: it says they pawed at the every awhere else I 537 00:32:00,560 --> 00:32:03,360 Speaker 1: saw that, they just sit and and kind of look 538 00:32:03,400 --> 00:32:07,080 Speaker 1: at the person like shame on you, exactly. It's very 539 00:32:07,080 --> 00:32:10,040 Speaker 1: passive aggressive way to out somebody for a goat head 540 00:32:10,040 --> 00:32:14,760 Speaker 1: in their two kids. Right, oh yeah, man, you read 541 00:32:14,800 --> 00:32:17,080 Speaker 1: my mom. All right, we're gonna do that and we're 542 00:32:17,080 --> 00:32:26,600 Speaker 1: gonna finish up here with a big o brigade. M 543 00:32:35,480 --> 00:32:37,000 Speaker 1: all right. So what happens at the end of a 544 00:32:37,040 --> 00:32:43,360 Speaker 1: long day, Josh the dog? Um? Most beagles enjoy a 545 00:32:43,360 --> 00:32:47,960 Speaker 1: good pipe, maybe a scotch in an easy chair, UM, 546 00:32:47,960 --> 00:32:51,760 Speaker 1: perhaps a cigar tip. They sure they tend to watch CNN. 547 00:32:51,800 --> 00:32:55,120 Speaker 1: I'll of if you watch Fox News, UM, and they 548 00:32:55,160 --> 00:32:59,400 Speaker 1: fall asleep a little drunk. That's what they do every night. 549 00:32:59,680 --> 00:33:02,040 Speaker 1: It's their routine, and that's what beagles like. Oh no, 550 00:33:02,160 --> 00:33:09,960 Speaker 1: that's our routine at our clubhouse where we live. Uh. Weirdly, 551 00:33:10,080 --> 00:33:11,840 Speaker 1: and this kind of surprised me. I guess it's not 552 00:33:11,920 --> 00:33:14,959 Speaker 1: weird now they've seen the explanation. But I was surprised 553 00:33:14,960 --> 00:33:17,440 Speaker 1: to learn that they're kindled. I thought that they I thought. 554 00:33:17,480 --> 00:33:19,840 Speaker 1: I guess I thought they lived with their handler. Yeah, 555 00:33:19,840 --> 00:33:23,240 Speaker 1: because canine police dogs live at their handlers. I thought 556 00:33:23,280 --> 00:33:25,840 Speaker 1: it was weird too. But they're kindled. Uh. They have 557 00:33:25,880 --> 00:33:30,480 Speaker 1: a facility near the airport. Um. Some people have asked, like, 558 00:33:31,480 --> 00:33:34,160 Speaker 1: can can I just keep this dog at night and 559 00:33:34,200 --> 00:33:36,960 Speaker 1: then take them to work every morning? Uh? And they 560 00:33:37,000 --> 00:33:39,000 Speaker 1: say no, They said this is actually best for everyone. 561 00:33:39,360 --> 00:33:41,480 Speaker 1: They need their rest. I imagine they have a good 562 00:33:41,480 --> 00:33:44,280 Speaker 1: play together. I doubt if they just like drive them 563 00:33:44,280 --> 00:33:46,000 Speaker 1: straight there and put them in the crate. You know, 564 00:33:46,520 --> 00:33:49,240 Speaker 1: it's probably a little social scene going on. I hope, So, 565 00:33:49,920 --> 00:33:52,200 Speaker 1: I hope they don't like get scolded from making eye 566 00:33:52,200 --> 00:33:55,240 Speaker 1: contact with the other working dogs they live with. No, 567 00:33:55,560 --> 00:33:57,400 Speaker 1: they put in their eight hours, they come home, they 568 00:33:57,440 --> 00:34:00,920 Speaker 1: probably play a bit, and then they're kindled. Overnight. Uh. 569 00:34:00,960 --> 00:34:04,200 Speaker 1: And they said that they you know, they need this 570 00:34:04,360 --> 00:34:08,280 Speaker 1: rest time, uh, in order to do their job successfully. 571 00:34:08,280 --> 00:34:10,560 Speaker 1: And like I said, a happy dog is the dog 572 00:34:10,640 --> 00:34:12,879 Speaker 1: that feels good about its work. And you said, Chuck, 573 00:34:13,120 --> 00:34:15,239 Speaker 1: some people ask if they can take them home, you 574 00:34:15,239 --> 00:34:18,840 Speaker 1: should specify, like that's not the agents actually like people 575 00:34:18,880 --> 00:34:21,279 Speaker 1: at the airport, I know, like, can I just take 576 00:34:21,360 --> 00:34:23,080 Speaker 1: him home for the night and you guys can come 577 00:34:23,120 --> 00:34:25,200 Speaker 1: be at on tomorrow or all. You can bring them back. 578 00:34:25,880 --> 00:34:28,840 Speaker 1: I don't only live like five minutes away. Yeah, sure 579 00:34:29,239 --> 00:34:31,080 Speaker 1: that we'll just get your give me your cell phone number. 580 00:34:31,080 --> 00:34:34,319 Speaker 1: That sounds great. So it does make sense, um that, Yeah, 581 00:34:34,400 --> 00:34:36,279 Speaker 1: they they are left to just kind of rest. And 582 00:34:36,280 --> 00:34:39,120 Speaker 1: I'm sure that they actually live at the airport, which 583 00:34:39,160 --> 00:34:42,320 Speaker 1: is funny. It's like that movie Terminal with Tom Hanks. 584 00:34:43,080 --> 00:34:45,160 Speaker 1: It says a nearby facility. You think it's actually there? 585 00:34:45,400 --> 00:34:49,280 Speaker 1: I'm sure. Yeah. Um, did you know that movie Terminal 586 00:34:49,320 --> 00:34:53,440 Speaker 1: with Tom Hanks is based on a real life thing. Yeah, 587 00:34:53,520 --> 00:34:56,120 Speaker 1: and the guy was like living there for a decade 588 00:34:56,200 --> 00:34:59,200 Speaker 1: or something like that. In Charles de Gaal, Yeah, did 589 00:34:59,200 --> 00:35:01,720 Speaker 1: you see that movie? No, I just read the article 590 00:35:01,760 --> 00:35:04,839 Speaker 1: of movies based on Yeah, it's not very good. Unfortunately 591 00:35:05,000 --> 00:35:08,560 Speaker 1: I got that impression. Yeah, it was a bummer. Oh 592 00:35:08,600 --> 00:35:10,600 Speaker 1: really it doesn't end well. Well, no, it was just 593 00:35:10,600 --> 00:35:12,560 Speaker 1: a bummer that it wasn't good because it was like 594 00:35:12,800 --> 00:35:17,200 Speaker 1: Spielberg and Tom Hanks and I think my hopes were high. 595 00:35:17,280 --> 00:35:21,520 Speaker 1: But yeah, I didn't care for it. No such luck, Charles. Uh. So, 596 00:35:21,560 --> 00:35:25,720 Speaker 1: the beagle brigade is it's a very closely guarded secret 597 00:35:25,840 --> 00:35:30,919 Speaker 1: just how many beagles are brigading. So, uh they can 598 00:35:31,200 --> 00:35:33,840 Speaker 1: say though that there are a hundred and sixteen CBP 599 00:35:33,960 --> 00:35:38,440 Speaker 1: agricultural canine teams with the dogs and the handlers, and 600 00:35:38,480 --> 00:35:41,480 Speaker 1: that every international report in the country has a beagle 601 00:35:41,520 --> 00:35:45,680 Speaker 1: brigade there doing their job. So they can tell you 602 00:35:45,760 --> 00:35:48,319 Speaker 1: a lot. Yeah, I mean you want to tell some 603 00:35:48,360 --> 00:35:54,480 Speaker 1: stories here. Yeah. So there was this one dog called Murray. 604 00:35:53,600 --> 00:35:58,320 Speaker 1: Murray was um. He was at a shelter in North 605 00:35:58,480 --> 00:36:04,440 Speaker 1: Georgia and apparently some dummies decided they wanted a hunting 606 00:36:04,480 --> 00:36:08,759 Speaker 1: dog and didn't want to spend any money, but they 607 00:36:08,920 --> 00:36:11,640 Speaker 1: wanted a dock tail and ears and everything, so they 608 00:36:11,680 --> 00:36:14,200 Speaker 1: tried it themselves and it didn't go very well for 609 00:36:14,239 --> 00:36:17,320 Speaker 1: poor Murray. So they dropped him off at a shelter 610 00:36:17,560 --> 00:36:22,319 Speaker 1: probably knowing, knowing the state, they probably dropped him off 611 00:36:22,360 --> 00:36:24,160 Speaker 1: on a dirt road and somebody else found him and 612 00:36:24,160 --> 00:36:28,680 Speaker 1: took him to a shelter, and Murray was rescued by 613 00:36:28,800 --> 00:36:32,120 Speaker 1: a group called alcove E Pet Rescue, And I guess 614 00:36:32,200 --> 00:36:37,840 Speaker 1: alcove has a direct pipeline to the Beagle Brigade handlers 615 00:36:38,400 --> 00:36:41,200 Speaker 1: at down in Noonan said, Hey, we think we got 616 00:36:41,239 --> 00:36:45,800 Speaker 1: one for you. This guy is so food driven it's crazy. 617 00:36:46,040 --> 00:36:47,840 Speaker 1: It's got a lot of love. He just needs a 618 00:36:47,880 --> 00:36:50,600 Speaker 1: little bit of attention. He's missing part of his ear, 619 00:36:51,080 --> 00:36:55,000 Speaker 1: but we can get past that. And uh at age 620 00:36:55,040 --> 00:36:59,160 Speaker 1: two or three, he became uh a an agent for 621 00:36:59,280 --> 00:37:05,240 Speaker 1: the USD at Atlanta Hartsfield Jacks International Airport. That's great. 622 00:37:05,960 --> 00:37:07,640 Speaker 1: The only way that story could into better is if 623 00:37:07,640 --> 00:37:10,719 Speaker 1: those original people had part of their ear cut off. 624 00:37:11,360 --> 00:37:18,480 Speaker 1: Yeah by a dog. Yeah. What about Jasper? So Jasper 625 00:37:18,520 --> 00:37:21,080 Speaker 1: he worked at JFK. I think yeah he was. This 626 00:37:21,160 --> 00:37:24,719 Speaker 1: was late last year. Jasper retired after an eight year 627 00:37:24,760 --> 00:37:33,600 Speaker 1: career and during this career, Jasper seized over seventeen thousand items. Um. 628 00:37:33,640 --> 00:37:37,919 Speaker 1: The goats head was Jasper, like I mentioned, Yeah, whale meat, Yeah, 629 00:37:37,920 --> 00:37:45,440 Speaker 1: whale meat, rhinoceros skin, cooked bat really. Uh what else? Um, 630 00:37:45,520 --> 00:37:48,560 Speaker 1: anything else crazy like that? No, not that I saw. 631 00:37:49,280 --> 00:37:53,520 Speaker 1: And a lot of Romanian cotton weevils. UM and the 632 00:37:53,760 --> 00:37:56,719 Speaker 1: his handler Amanda Tipple or Triple is a Tipple or 633 00:37:56,760 --> 00:38:00,719 Speaker 1: Triple Triple. She said that. Um. She was interviewed with 634 00:38:00,800 --> 00:38:04,520 Speaker 1: Modern Farmer magazine, which I didn't realize existed until last week. 635 00:38:05,160 --> 00:38:08,920 Speaker 1: UM have a subscription. Yeah, they did an interview with 636 00:38:08,960 --> 00:38:12,319 Speaker 1: her and she was saying that, um, the that he 637 00:38:12,360 --> 00:38:16,800 Speaker 1: could very easily work longer, but that the mandatory age 638 00:38:17,680 --> 00:38:20,279 Speaker 1: of retirement is eight because they want the dogs to 639 00:38:20,320 --> 00:38:25,400 Speaker 1: have some years of just chilling out, not having to work. Um, 640 00:38:25,480 --> 00:38:27,719 Speaker 1: and that she's going to take him home. She's adopting him. 641 00:38:28,040 --> 00:38:29,960 Speaker 1: She did adopt him. I think the article was from 642 00:38:30,000 --> 00:38:32,160 Speaker 1: last year and he was on the verge of retirement 643 00:38:32,320 --> 00:38:36,640 Speaker 1: when they interviewed him. But um, he went and apparently 644 00:38:36,680 --> 00:38:39,640 Speaker 1: this is fairly normal, went from something like fifteen to 645 00:38:39,880 --> 00:38:45,600 Speaker 1: thirty hits, thirty hits a day, but they had declined 646 00:38:45,640 --> 00:38:49,759 Speaker 1: to about ten to fifteen. Yeah, everybody was very disappointed 647 00:38:49,760 --> 00:38:53,560 Speaker 1: in him. Well, I mean that's a good retirement age 648 00:38:53,600 --> 00:38:59,640 Speaker 1: of their eight, like barring some very sad health concern Uh, 649 00:38:59,800 --> 00:39:01,839 Speaker 1: you know, a dog that size can live to be 650 00:39:01,960 --> 00:39:05,200 Speaker 1: you know, thirteen, fourteen years old, so many years ahead 651 00:39:05,200 --> 00:39:08,640 Speaker 1: of them, hopefully in retirement. Yeah, and once she she 652 00:39:08,760 --> 00:39:13,480 Speaker 1: takes them home, you know, she gets another dog that 653 00:39:13,560 --> 00:39:15,879 Speaker 1: she's go a partner with. So I wonder how that'll 654 00:39:15,920 --> 00:39:19,480 Speaker 1: go over, you know, we'll we'll Jasper be like, I 655 00:39:19,520 --> 00:39:21,719 Speaker 1: know where you've been today, and I just want to 656 00:39:21,719 --> 00:39:24,320 Speaker 1: tell you again, I'm not happy with this. Well, I 657 00:39:24,400 --> 00:39:29,400 Speaker 1: bet Jasper, uh, I bet Jasper, and all retired dogs 658 00:39:29,440 --> 00:39:33,200 Speaker 1: have to deal with that transition, you know, like, imagine 659 00:39:33,239 --> 00:39:35,640 Speaker 1: there's something the handlers have to do with them on 660 00:39:35,680 --> 00:39:38,400 Speaker 1: a daily basis, like you know, probably a lot of 661 00:39:38,719 --> 00:39:41,600 Speaker 1: long walks. Imagine the dog isn't just like all right 662 00:39:41,640 --> 00:39:45,080 Speaker 1: and now I'm gonna rest like they're just to that activity. 663 00:39:47,080 --> 00:39:49,680 Speaker 1: Well yeah, yeah, I was wondering that as well. I 664 00:39:49,719 --> 00:39:53,200 Speaker 1: wondered too if they get them when they're young, so 665 00:39:53,239 --> 00:39:55,319 Speaker 1: they're super hyper, and then maybe by the time they're 666 00:39:55,320 --> 00:39:59,600 Speaker 1: eight they've mellowed a little bit, at least comparatively speaking. Yeah, yeah, 667 00:39:59,719 --> 00:40:02,760 Speaker 1: I think a mellow beagle is still pretty hyper compared 668 00:40:02,800 --> 00:40:07,000 Speaker 1: to a normal dog. You I've never been around beagles. Actually, Oh, 669 00:40:07,040 --> 00:40:10,759 Speaker 1: they they they'll pull. Yeah. Yeah, and they they bay 670 00:40:10,840 --> 00:40:14,080 Speaker 1: and everything. They're super cute, but they can be rambunctous 671 00:40:14,120 --> 00:40:16,480 Speaker 1: for sure. Yeah. I've never I've never known anyone with 672 00:40:16,560 --> 00:40:18,760 Speaker 1: a beagle, so I don't even know if I've ever 673 00:40:18,880 --> 00:40:22,560 Speaker 1: touched a beagle now that I I think about it, No, 674 00:40:22,680 --> 00:40:25,160 Speaker 1: but if you've been touched by a beagle, you will 675 00:40:25,239 --> 00:40:27,759 Speaker 1: never forget it. Chuck a couple of stats for you. 676 00:40:27,840 --> 00:40:31,719 Speaker 1: Last year alone, in sixteen, the brigade inspected twenty three 677 00:40:31,760 --> 00:40:36,240 Speaker 1: million passengers UH seven hundred and forty one thousand pieces 678 00:40:36,239 --> 00:40:39,880 Speaker 1: of freight and they alerted total in the United States 679 00:40:40,600 --> 00:40:44,080 Speaker 1: to more than one point seven seven million seizures of 680 00:40:44,200 --> 00:40:48,840 Speaker 1: illegal materials. That's a lot. That's about what like seven 681 00:40:48,880 --> 00:40:54,280 Speaker 1: eight percent of people bringing stuff in that have been caught. Yeah, 682 00:40:54,440 --> 00:40:56,960 Speaker 1: and I saw also that there's a um there's an 683 00:40:57,000 --> 00:41:00,279 Speaker 1: even more specialized group of dogs that are typically Jack 684 00:41:00,360 --> 00:41:06,400 Speaker 1: Russell terriers that work on Guam to root out specifically 685 00:41:06,600 --> 00:41:10,160 Speaker 1: brown tree snakes that's crazy, which are an invasive species 686 00:41:10,200 --> 00:41:12,400 Speaker 1: that got introduced to Guam and have killed off like 687 00:41:12,440 --> 00:41:15,800 Speaker 1: a lot of indigenous bird species. And they're basically trying 688 00:41:15,840 --> 00:41:18,359 Speaker 1: to protect Hawaii as much as they can. I didn't 689 00:41:18,360 --> 00:41:21,520 Speaker 1: know why I didn't have snakes until this article. Yeah, 690 00:41:21,520 --> 00:41:24,440 Speaker 1: it's like Ireland over there. Yeah, I mean it made sense, 691 00:41:24,480 --> 00:41:26,560 Speaker 1: of course, but I just figured, I mean, there's all 692 00:41:26,640 --> 00:41:29,960 Speaker 1: kinds of invasive species, so I just thought that I 693 00:41:30,000 --> 00:41:32,040 Speaker 1: just figured snakes would be one of them. Yeah. No, 694 00:41:32,160 --> 00:41:38,080 Speaker 1: Hawaii takes there. They're like the Agriculture Defense very serious. Yeah, 695 00:41:38,120 --> 00:41:40,480 Speaker 1: it's a felony. The snake thing is, yeah, well i'll 696 00:41:40,520 --> 00:41:42,560 Speaker 1: just beat you up before they even take you to jail. 697 00:41:43,000 --> 00:41:45,440 Speaker 1: They catch you. Well, I read an article because I 698 00:41:45,480 --> 00:41:48,080 Speaker 1: was like, what is that real? And which is uh? 699 00:41:48,320 --> 00:41:54,080 Speaker 1: I guess with great comfort to back country exploring and explorers, um, 700 00:41:54,120 --> 00:41:57,520 Speaker 1: if you're scared of snakes, but uh, I read an 701 00:41:57,640 --> 00:41:59,640 Speaker 1: article and there was there. There were a couple of 702 00:41:59,640 --> 00:42:02,080 Speaker 1: them f the last year that you know, people have 703 00:42:02,200 --> 00:42:05,360 Speaker 1: managed to sneak in. And one was a Boa constrictor 704 00:42:05,440 --> 00:42:08,120 Speaker 1: that was dead in the road like five ft long, 705 00:42:08,160 --> 00:42:10,919 Speaker 1: and the guy I saw it and said like, there's 706 00:42:10,920 --> 00:42:12,920 Speaker 1: a snake, And everyone in the car was like, there 707 00:42:12,920 --> 00:42:16,000 Speaker 1: are no snakes in Hawaii. They're like, no, that's a snake. 708 00:42:16,160 --> 00:42:18,520 Speaker 1: He's like, oh, I'm just a total idiot. I guess 709 00:42:20,239 --> 00:42:22,400 Speaker 1: I'm sure their legs under there just a big lizard 710 00:42:22,680 --> 00:42:26,000 Speaker 1: hate you guys. Um. Yeah, that was that was news 711 00:42:26,040 --> 00:42:29,960 Speaker 1: to me. So interesting. Supposedly the ever Glades down in 712 00:42:30,000 --> 00:42:35,040 Speaker 1: Florida have a huge problem with um Burmese pythons and 713 00:42:35,520 --> 00:42:38,080 Speaker 1: like a couple of different kinds of pythons that and 714 00:42:38,160 --> 00:42:40,840 Speaker 1: all of them were pets, and now they're just taking 715 00:42:40,880 --> 00:42:43,520 Speaker 1: over and getting to be like twenty ft long or 716 00:42:43,600 --> 00:42:46,839 Speaker 1: just crazy eating wild boares and things like that because 717 00:42:46,920 --> 00:42:49,520 Speaker 1: idiots get them and then they grow and they say 718 00:42:49,560 --> 00:42:52,080 Speaker 1: this snake is too big, and they just put it 719 00:42:52,080 --> 00:42:56,080 Speaker 1: out in the swamp. I just wanted a puppy snake. Uh. 720 00:42:56,120 --> 00:42:59,279 Speaker 1: So here's a good example to like, you know, it's 721 00:42:59,280 --> 00:43:02,480 Speaker 1: easy to the goat head and the cooked pig gets 722 00:43:02,520 --> 00:43:06,239 Speaker 1: a lot of attention. Uh. But usually this stuff is 723 00:43:07,520 --> 00:43:10,960 Speaker 1: it's not nefarious, you know, it's like this this one lady. Uh. 724 00:43:11,000 --> 00:43:14,399 Speaker 1: In February of this year, actually, there was a big 725 00:43:14,480 --> 00:43:16,799 Speaker 1: gold name gadget that sees and this is just one 726 00:43:17,040 --> 00:43:23,400 Speaker 1: seizure from one person. A potted tamarin plant, two live trees, 727 00:43:23,480 --> 00:43:27,480 Speaker 1: forty two packages of seeds, twenty pieces of palm tree plannings, 728 00:43:27,920 --> 00:43:31,799 Speaker 1: chickory seed, rice, millet, and fresh garlic, and a note 729 00:43:31,800 --> 00:43:34,880 Speaker 1: from God. I mean, that's a lot of stuff. But 730 00:43:34,920 --> 00:43:37,640 Speaker 1: this is what happens. Like someone goes to another country 731 00:43:37,880 --> 00:43:40,760 Speaker 1: and they want to bring back like seeds to plant something. 732 00:43:40,800 --> 00:43:44,960 Speaker 1: It's not like they're awful people, but it can. They 733 00:43:44,960 --> 00:43:48,839 Speaker 1: can innocently wreak havoc on agriculture here by doing so, 734 00:43:48,960 --> 00:43:52,040 Speaker 1: you know, right, So the process from what I gather 735 00:43:52,200 --> 00:43:56,280 Speaker 1: is that you declare anything you have on you um 736 00:43:56,320 --> 00:44:00,000 Speaker 1: and then if if they can let you bring it through, 737 00:44:00,200 --> 00:44:01,880 Speaker 1: then they'll let you bring it through. But if not, 738 00:44:01,960 --> 00:44:03,879 Speaker 1: they'll just take it and be like, sorry, we gotta 739 00:44:03,920 --> 00:44:07,359 Speaker 1: take this. Then they'll shoot it in front of you. UM. 740 00:44:08,680 --> 00:44:11,640 Speaker 1: If you don't declare it and they catch you with it. 741 00:44:11,719 --> 00:44:15,080 Speaker 1: Thanks to the Beagle Brigade, UM, you can be fined 742 00:44:15,160 --> 00:44:18,520 Speaker 1: up to something like a thousand dollars for your first offense, 743 00:44:19,080 --> 00:44:21,800 Speaker 1: and if it's clear you're like a straight up smuggler, 744 00:44:22,520 --> 00:44:24,960 Speaker 1: you will probably go to jail. Well, this person did 745 00:44:25,000 --> 00:44:28,800 Speaker 1: declare that had all that stuff, chocolate and an apple, 746 00:44:29,760 --> 00:44:32,719 Speaker 1: so as she thought, maybe if I declare something, I 747 00:44:32,719 --> 00:44:35,160 Speaker 1: won't be as suspicious. I don't know, right, but I mean, 748 00:44:35,200 --> 00:44:39,440 Speaker 1: if you're a CBP agent um and you're looking at 749 00:44:39,440 --> 00:44:41,360 Speaker 1: that and you have the discretion of whether to arrest 750 00:44:41,400 --> 00:44:44,040 Speaker 1: that person or not. You you may very well be like, no, 751 00:44:44,320 --> 00:44:47,160 Speaker 1: you're you were definitely trying to smuggle this stuff, so 752 00:44:47,239 --> 00:44:50,560 Speaker 1: you're I'm gonna I'm gonna make an example out of you, lady. 753 00:44:50,880 --> 00:44:53,719 Speaker 1: And then gadgets just sitting there just like judging, what 754 00:44:53,760 --> 00:44:57,240 Speaker 1: have I done? Yeah, And the lady as they're hauling 755 00:44:57,239 --> 00:44:58,839 Speaker 1: her off to jails, she's like, I would have gotten 756 00:44:58,840 --> 00:45:03,319 Speaker 1: away with it if annam for your meddling dogs. Uh, 757 00:45:03,560 --> 00:45:05,799 Speaker 1: you got anything else? I do? I have one more thing. 758 00:45:06,200 --> 00:45:08,440 Speaker 1: I ran across this article. I think it was on courts. 759 00:45:09,160 --> 00:45:12,480 Speaker 1: It said like bush meat, illegal bush meat could be 760 00:45:12,560 --> 00:45:17,160 Speaker 1: the cause of the next big global pandemic. There's apparently 761 00:45:17,239 --> 00:45:21,000 Speaker 1: a major market for bush meat, which is any wild 762 00:45:21,040 --> 00:45:24,040 Speaker 1: animal meat. Most people think of it as like monkey 763 00:45:24,239 --> 00:45:26,759 Speaker 1: or bat or something like that, but it also is 764 00:45:26,800 --> 00:45:30,640 Speaker 1: like elk or caribou, any illegal meat that's basically just 765 00:45:30,719 --> 00:45:34,440 Speaker 1: being smuggled around. Um. There's huge markets for it in 766 00:45:34,480 --> 00:45:39,879 Speaker 1: New York, in uh, London, in Mayland, Europe, um, And 767 00:45:40,280 --> 00:45:42,160 Speaker 1: people just smuggle it in and a lot of them 768 00:45:42,440 --> 00:45:45,600 Speaker 1: make it through And these things just get sold behind 769 00:45:45,600 --> 00:45:49,239 Speaker 1: the counter at butcher shops in some cities and all 770 00:45:49,280 --> 00:45:52,200 Speaker 1: what's gonna take is one of those things to have 771 00:45:52,680 --> 00:45:57,440 Speaker 1: a bola and uh, maybe a mutant strain that that 772 00:45:57,680 --> 00:46:01,200 Speaker 1: is transmitted a little more easily than a bowl of 773 00:46:01,640 --> 00:46:05,359 Speaker 1: light or whatever we have now, and uh, you got 774 00:46:05,360 --> 00:46:08,040 Speaker 1: a pandemic on your hands, and we can say thanks 775 00:46:08,080 --> 00:46:10,640 Speaker 1: a lot. I hope you really enjoyed that monkey leg 776 00:46:11,000 --> 00:46:14,440 Speaker 1: that killed off three quarters of the population of humanity. 777 00:46:14,719 --> 00:46:20,120 Speaker 1: Cross those two words. I don't like it. I know, 778 00:46:21,360 --> 00:46:25,200 Speaker 1: I know that's pretty rough. Uh so I guess you're 779 00:46:25,239 --> 00:46:27,640 Speaker 1: done then too. I'm done, sir. Okay, Well, if you 780 00:46:27,640 --> 00:46:31,799 Speaker 1: guys want to know more about bush meat or the 781 00:46:31,880 --> 00:46:34,360 Speaker 1: Beagle Brigade or anything like that, type those words in 782 00:46:34,400 --> 00:46:37,160 Speaker 1: the search bar how stuff works dot com. And since 783 00:46:37,200 --> 00:46:41,839 Speaker 1: I said search bar, it's time for listener mail. I'm 784 00:46:41,840 --> 00:46:48,879 Speaker 1: gonna call this one sad yet happy email. Hey guys, 785 00:46:48,880 --> 00:46:50,080 Speaker 1: my name is Sam. I want to send you an 786 00:46:50,080 --> 00:46:53,200 Speaker 1: email thanking you for your show. Uh. The podcast is 787 00:46:53,239 --> 00:46:55,399 Speaker 1: actually a rediscovery for me. My dad used to play 788 00:46:55,400 --> 00:46:58,959 Speaker 1: it back in two thousand nine when we would drive 789 00:46:59,160 --> 00:47:02,640 Speaker 1: up to the mountain to go skiing. Very fond memories 790 00:47:02,680 --> 00:47:04,600 Speaker 1: of laughing and nerding out with my dad and brothers 791 00:47:04,640 --> 00:47:06,720 Speaker 1: after a great day on the slopes. I can't believe 792 00:47:06,719 --> 00:47:08,800 Speaker 1: you guys are still going strong after eight plus years. 793 00:47:09,160 --> 00:47:11,440 Speaker 1: There is a little more to my rediscovery of your show, though, 794 00:47:11,480 --> 00:47:13,320 Speaker 1: that I wanted to share. It's been four and a 795 00:47:13,360 --> 00:47:15,000 Speaker 1: half years since one of my brothers, who was an 796 00:47:15,000 --> 00:47:19,640 Speaker 1: amazing skier, died tragically to suicide. Since I was in 797 00:47:19,719 --> 00:47:21,920 Speaker 1: college at the time, it didn't have enough time to 798 00:47:22,120 --> 00:47:25,440 Speaker 1: properly grieve. Recently, I've been mulling through many painful memories 799 00:47:25,800 --> 00:47:28,799 Speaker 1: that I ignored in those first three years. However, your 800 00:47:28,800 --> 00:47:32,600 Speaker 1: show unexpectedly brought back really happy ones. Uh. It is 801 00:47:32,640 --> 00:47:34,880 Speaker 1: reminded me of the fun, adventure and learning our family 802 00:47:35,000 --> 00:47:37,560 Speaker 1: enjoyed while listening to your show when we are skiing. 803 00:47:37,880 --> 00:47:40,719 Speaker 1: I remember laughing hysterically with my family your jokes, rolling 804 00:47:40,719 --> 00:47:43,000 Speaker 1: my eyes when my brothers and dad would try to 805 00:47:43,040 --> 00:47:45,320 Speaker 1: comment on your show to sound smart because it was 806 00:47:45,360 --> 00:47:48,799 Speaker 1: so creepy. One of your favorite episodes of ours was 807 00:47:48,840 --> 00:47:51,799 Speaker 1: the one on cannibalism. Being a high schooler at the time, 808 00:47:51,800 --> 00:47:53,800 Speaker 1: I also really liked the show on flirting because I 809 00:47:53,800 --> 00:47:56,319 Speaker 1: thought I could put it into practice. Needless to say, 810 00:47:56,360 --> 00:48:00,160 Speaker 1: it didn't really work. What this month, I went home 811 00:48:00,200 --> 00:48:01,480 Speaker 1: for a week to visit my parents and I went 812 00:48:01,520 --> 00:48:03,680 Speaker 1: skiing with my mom and dad, but the first time 813 00:48:03,719 --> 00:48:06,640 Speaker 1: since my brother died. It was very painful, but also 814 00:48:06,960 --> 00:48:11,000 Speaker 1: unimaginable special. When my family and I are on the mountain, 815 00:48:11,000 --> 00:48:13,520 Speaker 1: I feel like I can encounter my brother as he 816 00:48:13,680 --> 00:48:15,800 Speaker 1: was when he was healthy and full of life. I 817 00:48:15,840 --> 00:48:18,480 Speaker 1: could picture him diving down a slope that was way 818 00:48:18,520 --> 00:48:21,360 Speaker 1: too steep with the most enormous grin on his eager face. 819 00:48:21,880 --> 00:48:23,520 Speaker 1: All in all, it was a great day. So I 820 00:48:23,560 --> 00:48:25,560 Speaker 1: just want to say thank you for the hard work 821 00:48:25,560 --> 00:48:28,719 Speaker 1: and providing interesting topics to fill my time, making me laugh, 822 00:48:29,120 --> 00:48:32,120 Speaker 1: but also inadvertently helping me cherish a special time in 823 00:48:32,120 --> 00:48:38,400 Speaker 1: my life. That's heavy. That is from Sam, and she 824 00:48:38,520 --> 00:48:42,200 Speaker 1: sends hugs. Sam, that is fantastic. Thank you very much 825 00:48:42,239 --> 00:48:45,799 Speaker 1: for letting us know we appreciate that. Uh and UH 826 00:48:45,880 --> 00:48:49,479 Speaker 1: our best to your whole family. Absolutely. If you want 827 00:48:49,560 --> 00:48:51,640 Speaker 1: to get in touch with this, like Sam did, you 828 00:48:51,640 --> 00:48:54,120 Speaker 1: can tweet to us at s Y s K podcast. 829 00:48:54,480 --> 00:48:57,640 Speaker 1: You can hang out with me at joshuam Clark on Twitter. 830 00:48:58,200 --> 00:49:00,760 Speaker 1: You can hang out with Chuck on Facebook at Facebook 831 00:49:00,800 --> 00:49:03,560 Speaker 1: dot com slash Charles W. Chuck Bryant. You can also 832 00:49:03,600 --> 00:49:06,319 Speaker 1: see us at Facebook dot com, slash stuff you Should Know. 833 00:49:06,680 --> 00:49:08,799 Speaker 1: You can send us an email. The Stuff podcast at 834 00:49:08,800 --> 00:49:11,120 Speaker 1: how stuff works dot com has always joined us at 835 00:49:11,120 --> 00:49:13,279 Speaker 1: our home on the web, Stuff you Should Know dot 836 00:49:13,320 --> 00:49:20,040 Speaker 1: com For more on this and thousands of other topics. 837 00:49:20,280 --> 00:49:32,120 Speaker 1: Is it how stuff works dot com.