1 00:00:10,200 --> 00:00:14,160 Speaker 1: From Meat Eaters World News headquarters in Bozeman, Montana. This 2 00:00:14,320 --> 00:00:19,360 Speaker 1: is Cow's Week in Review with Ryan cow Calahan. Here's cap. 3 00:00:21,280 --> 00:00:24,000 Speaker 1: A four year old boy in Washington State was attacked 4 00:00:24,000 --> 00:00:26,159 Speaker 1: by a mountain lion last month and saved by the 5 00:00:26,239 --> 00:00:28,800 Speaker 1: quick actions of his father. The young boy and his 6 00:00:28,840 --> 00:00:31,920 Speaker 1: parents were hiking a popular trail in Olympic National Park 7 00:00:31,960 --> 00:00:35,360 Speaker 1: when the attack occurred. Officials haven't released many details, so 8 00:00:35,400 --> 00:00:38,959 Speaker 1: we don't know whether the attack was unprompted or if 9 00:00:38,960 --> 00:00:41,960 Speaker 1: the animal had been approached, but witnesses who spoke to 10 00:00:42,000 --> 00:00:44,640 Speaker 1: local media say that the big cat grabbed the child 11 00:00:44,960 --> 00:00:47,880 Speaker 1: and tried to take him away. His father, chased after 12 00:00:47,920 --> 00:00:50,320 Speaker 1: the lion, was able to rescue his son from what 13 00:00:50,440 --> 00:00:53,640 Speaker 1: would have been a pretty horrible death. The boy was 14 00:00:53,680 --> 00:00:56,120 Speaker 1: flown to a trauma center for treatment but has since 15 00:00:56,160 --> 00:00:58,880 Speaker 1: been released. The offending cat had been fitted with a 16 00:00:58,920 --> 00:01:02,240 Speaker 1: tracking collar, so it wasn't difficult to locate the animal 17 00:01:02,240 --> 00:01:05,120 Speaker 1: and put it down. Mountain lion attacks are rare, but 18 00:01:05,200 --> 00:01:07,920 Speaker 1: this is the second high profile attack on a child 19 00:01:08,080 --> 00:01:10,679 Speaker 1: in less than a year. Last September, a five year 20 00:01:10,680 --> 00:01:13,560 Speaker 1: old was seriously injured after being attacked by a cougar 21 00:01:13,680 --> 00:01:16,399 Speaker 1: in Malibu Creek State Park. The kid was playing around 22 00:01:16,440 --> 00:01:20,200 Speaker 1: his family's picnic table when the cat pounced, apparently unprovoked. 23 00:01:20,400 --> 00:01:22,560 Speaker 1: The animal dropped the child and ran up a nearby 24 00:01:22,600 --> 00:01:25,880 Speaker 1: tree when confronted by an adult member of the child's family, 25 00:01:26,120 --> 00:01:29,120 Speaker 1: and the boy was treated for non life threatening injuries. 26 00:01:29,840 --> 00:01:32,399 Speaker 1: What's scary about these attacks is that they appear to 27 00:01:32,440 --> 00:01:36,040 Speaker 1: be predatory. Grizzly bears kill people every year, but it's 28 00:01:36,120 --> 00:01:38,840 Speaker 1: usually a mother protecting cubs or a bear that's been 29 00:01:38,880 --> 00:01:42,200 Speaker 1: surprised or frightened. These mountain lions appear to be hunting 30 00:01:42,200 --> 00:01:45,120 Speaker 1: their victims on purpose, which is quite a bit more 31 00:01:45,240 --> 00:01:47,840 Speaker 1: unsettling for those of us who live in Cougar Country. 32 00:01:48,520 --> 00:01:50,760 Speaker 1: I guess if there's a takeaway here, it's to fight 33 00:01:50,880 --> 00:01:52,960 Speaker 1: like hell. If you find yourself or loved ones in 34 00:01:53,000 --> 00:01:55,520 Speaker 1: the paws of a lion, hopefully they'll decide you're not 35 00:01:55,560 --> 00:01:58,440 Speaker 1: worth the effort and go after some less feisty prey. 36 00:01:59,760 --> 00:02:03,800 Speaker 1: This week the Crime Desk, Big Snake, Tech, Moose and maggots. 37 00:02:04,080 --> 00:02:05,600 Speaker 1: But first I'm going to tell you about my week. 38 00:02:05,640 --> 00:02:08,760 Speaker 1: In my week, well you know, it's interesting. As always. 39 00:02:09,960 --> 00:02:12,360 Speaker 1: I put my fly rod together, stood on a log 40 00:02:12,520 --> 00:02:16,040 Speaker 1: on a lake and caught one rainbow in cold clear water. 41 00:02:16,680 --> 00:02:20,079 Speaker 1: Then I put the rod away. The landlocked fresh water 42 00:02:20,280 --> 00:02:23,040 Speaker 1: mountain lake equivalent to being perched on the bow of 43 00:02:23,040 --> 00:02:26,560 Speaker 1: a flat's boat in the moment, standing on the tumbled 44 00:02:26,639 --> 00:02:31,000 Speaker 1: ponderosa log, staring through the reflective surface of this amazing 45 00:02:31,080 --> 00:02:34,400 Speaker 1: mountain lake looking for that green back of a hunting 46 00:02:34,480 --> 00:02:39,440 Speaker 1: trout would have been completely interchangeable for the turpin snaking 47 00:02:39,480 --> 00:02:43,760 Speaker 1: along the turtle grass. Same but different. And if you 48 00:02:43,840 --> 00:02:48,120 Speaker 1: only knew one of these experiences, not both, you'd be happy. 49 00:02:48,639 --> 00:02:52,360 Speaker 1: Dare I say fulfilled that, Friends and neighbors is the 50 00:02:52,360 --> 00:02:54,560 Speaker 1: first time I put the damn rod together all summer, 51 00:02:54,760 --> 00:02:57,440 Speaker 1: which is hard to admit. The river and fishing and 52 00:02:57,520 --> 00:02:59,760 Speaker 1: late evening bug hatches used to be a big part 53 00:02:59,800 --> 00:03:04,720 Speaker 1: of my life. Cracked feet, permanent sunburn, big old calluses 54 00:03:04,760 --> 00:03:08,440 Speaker 1: on my hands from rowing all day. Somehow all that 55 00:03:08,840 --> 00:03:13,160 Speaker 1: has turned into another large consumer of time. Sound familiar. 56 00:03:13,919 --> 00:03:16,919 Speaker 1: I'm telling myself that I am banking it all up 57 00:03:17,080 --> 00:03:21,000 Speaker 1: for hunting season, gonna box out other distractions, make my 58 00:03:21,080 --> 00:03:23,840 Speaker 1: days count. Now as a good time to tell you 59 00:03:23,880 --> 00:03:26,959 Speaker 1: folks as any I'm going after brown bear in Alaska. 60 00:03:27,160 --> 00:03:30,680 Speaker 1: Don't believe I mentioned this yet fall Hunt go up 61 00:03:30,720 --> 00:03:34,720 Speaker 1: the end of September, come back sometime in October. This 62 00:03:34,800 --> 00:03:37,720 Speaker 1: particular trip kind of happened in a spur of the 63 00:03:37,760 --> 00:03:41,120 Speaker 1: moment cancelation hunt sort of way. It's a once in 64 00:03:41,160 --> 00:03:45,640 Speaker 1: a lifetime serious spoiled kid type of trip. Not spoiled 65 00:03:45,720 --> 00:03:48,800 Speaker 1: like for the comfort and fancy food sort of way, 66 00:03:48,840 --> 00:03:52,280 Speaker 1: but in the fact that it's really freaking expensive. So 67 00:03:52,400 --> 00:03:56,200 Speaker 1: I'm going to milk every moment out of this and 68 00:03:56,240 --> 00:03:59,120 Speaker 1: I have a goal to turn a big, amazing brown 69 00:03:59,160 --> 00:04:06,000 Speaker 1: bear into fire roasted, crunchy Korean barbecue tacos with kimchi. 70 00:04:06,760 --> 00:04:09,520 Speaker 1: That's my best idea right now for turning fish flavored 71 00:04:09,520 --> 00:04:13,600 Speaker 1: bear into a delicacy. Let me know if you have 72 00:04:13,640 --> 00:04:17,359 Speaker 1: any suggestions. Then I'm hoping to get back just in 73 00:04:17,440 --> 00:04:21,039 Speaker 1: time for the opening days of Pheasants, where I'll say 74 00:04:21,080 --> 00:04:24,960 Speaker 1: my sorries to old SNORTI kiss sorry for being gone, 75 00:04:25,040 --> 00:04:27,960 Speaker 1: little girl. The boring big game is behind me for 76 00:04:28,000 --> 00:04:31,400 Speaker 1: a while, and for right now, it's all you do, 77 00:04:31,480 --> 00:04:34,280 Speaker 1: what you love, what you're built for, and I'll do 78 00:04:34,360 --> 00:04:37,919 Speaker 1: my best to keep up and not miss. If you 79 00:04:38,400 --> 00:04:42,680 Speaker 1: friends and neighbors listeners out there have any big adventures 80 00:04:42,680 --> 00:04:46,200 Speaker 1: that you're gearing up for. Right in to askcl that's 81 00:04:46,240 --> 00:04:49,039 Speaker 1: Ascal at themedia dot Com. Let me know if I 82 00:04:49,080 --> 00:04:52,200 Speaker 1: can help you in anyway if you're struggling to answer 83 00:04:52,200 --> 00:04:55,840 Speaker 1: any questions getting prepared. All of us do a fair 84 00:04:55,839 --> 00:05:00,520 Speaker 1: amount of traveling and get ready for trips. Feel free 85 00:05:00,560 --> 00:05:04,440 Speaker 1: to use me as a resource. Moving on to the 86 00:05:04,480 --> 00:05:08,920 Speaker 1: crime desk, the host of a white tail hunting show 87 00:05:08,920 --> 00:05:11,880 Speaker 1: has made himself famous, but for all the wrong reasons. 88 00:05:11,920 --> 00:05:14,080 Speaker 1: Matt Jennings, the host of a show called The Game, 89 00:05:14,120 --> 00:05:16,839 Speaker 1: pled guilty last week to poaching two bucks in Kansas 90 00:05:16,839 --> 00:05:19,920 Speaker 1: in twenty twenty two. Local media reports that the thirty 91 00:05:19,920 --> 00:05:21,599 Speaker 1: five year old killed a white tail buck in the 92 00:05:21,640 --> 00:05:23,479 Speaker 1: eastern part of the state, but he didn't have a 93 00:05:23,520 --> 00:05:26,120 Speaker 1: tag for that unit, so he took the carcass over 94 00:05:26,160 --> 00:05:29,039 Speaker 1: to Oklahoma and tried to register it in the Sooner state. 95 00:05:29,560 --> 00:05:33,000 Speaker 1: Not being satisfied with violating federal law by transporting poast 96 00:05:33,040 --> 00:05:36,080 Speaker 1: game over state lines, Jennings went back to Kansas eight 97 00:05:36,200 --> 00:05:39,200 Speaker 1: days later and killed another buck in the northwestern part 98 00:05:39,240 --> 00:05:41,799 Speaker 1: of the state. He had the proper tags for that animal, 99 00:05:42,000 --> 00:05:44,320 Speaker 1: but since he'd already shot a buck the week prior 100 00:05:44,680 --> 00:05:49,040 Speaker 1: that second kill violated the state's one buck limit. Federal 101 00:05:49,080 --> 00:05:52,360 Speaker 1: prosecutors say that both animals were featured in episodes of 102 00:05:52,400 --> 00:05:56,000 Speaker 1: his show. Jennings paid twenty five thousand dollars in fines 103 00:05:56,040 --> 00:05:58,800 Speaker 1: and restitution for his crimes and will never be allowed 104 00:05:58,800 --> 00:06:02,200 Speaker 1: to hunt in Kansas ever again. He is also banned 105 00:06:02,200 --> 00:06:05,560 Speaker 1: from hunting in eight other states during his five year probation. 106 00:06:06,360 --> 00:06:08,680 Speaker 1: Of course, the real penalty will be the end of 107 00:06:08,760 --> 00:06:14,000 Speaker 1: his career as a hunting influencer. That's a joke. Hard 108 00:06:14,040 --> 00:06:18,000 Speaker 1: to say if being a hunting influencer is what forced 109 00:06:18,000 --> 00:06:21,600 Speaker 1: this dude to cross the line so egregiously multiple times, 110 00:06:22,080 --> 00:06:26,320 Speaker 1: literally and figuratively. Just like with any pursuit, you know, 111 00:06:26,360 --> 00:06:28,800 Speaker 1: there's folks that can do it as per the letter 112 00:06:28,800 --> 00:06:31,560 Speaker 1: of the law, and there's folks that can't and don't 113 00:06:31,560 --> 00:06:34,800 Speaker 1: want to. In fact, Jerry's kind of out on this 114 00:06:34,920 --> 00:06:40,520 Speaker 1: feller anyway. Speaking Alasia Act violations, five Mississippi men were 115 00:06:40,520 --> 00:06:42,880 Speaker 1: sentenced last month in a federal court for poaching over 116 00:06:43,000 --> 00:06:46,440 Speaker 1: sixty white tail deer in Illinois. This poaching ring has 117 00:06:46,560 --> 00:06:49,440 Speaker 1: likely been operating for many years, but they were convicted 118 00:06:49,480 --> 00:06:54,080 Speaker 1: of poaching deer between twenty eighteen and twenty twenty two. Apparently, 119 00:06:54,120 --> 00:06:58,040 Speaker 1: these five individuals would travel north from Mississippi through Tennessee 120 00:06:58,160 --> 00:07:02,920 Speaker 1: and Kentucky and into southern Illinois. There they would identify 121 00:07:02,960 --> 00:07:05,240 Speaker 1: a target buck and kill it at night with a 122 00:07:05,240 --> 00:07:08,160 Speaker 1: spotlight and a rifle. They would then bring the deer 123 00:07:08,200 --> 00:07:11,120 Speaker 1: back to Mississippi, where they would harvest the meat and 124 00:07:11,240 --> 00:07:14,760 Speaker 1: mount the antler's. Federal prosecutors hit them with laciac charges 125 00:07:14,800 --> 00:07:17,720 Speaker 1: for transporting poach deer over state lines, and they paid 126 00:07:17,720 --> 00:07:21,080 Speaker 1: nearly one hundred and twenty thousand dollars in fines and restitution. 127 00:07:21,720 --> 00:07:24,600 Speaker 1: The biggest penalty was levied against fifty four year old 128 00:07:24,800 --> 00:07:27,760 Speaker 1: Lee Johnson, the ring leader of the operation. He was 129 00:07:27,800 --> 00:07:30,680 Speaker 1: forced to pay seventy five thousand dollars in restitution and 130 00:07:30,800 --> 00:07:35,200 Speaker 1: a ten thousand dollars fine. Here in my neck of 131 00:07:35,240 --> 00:07:38,440 Speaker 1: the Woods, Montana Fish, Wildlife and Parks has just charged 132 00:07:38,640 --> 00:07:41,400 Speaker 1: six people for poaching bull elk and mule deer bucks 133 00:07:41,440 --> 00:07:44,680 Speaker 1: in the Bowl Mountains between twenty twenty and twenty twenty four. 134 00:07:45,160 --> 00:07:49,200 Speaker 1: These six individuals were from Washington State and Montana, and 135 00:07:49,280 --> 00:07:52,680 Speaker 1: they allegedly killed several large bull elk in Hunting District 136 00:07:52,680 --> 00:07:55,720 Speaker 1: five ninety without the proper permets. While they were at it, 137 00:07:55,880 --> 00:07:58,760 Speaker 1: they also killed several large mule deer bucks without any 138 00:07:58,840 --> 00:08:03,600 Speaker 1: hunting licenses at all. Eleven mounts were seized during this investigation, 139 00:08:03,920 --> 00:08:06,560 Speaker 1: and the six suspects were hit with thirty four toll 140 00:08:06,720 --> 00:08:10,160 Speaker 1: charges and thirteen warnings. The names of these alleged poachers 141 00:08:10,160 --> 00:08:13,640 Speaker 1: have not yet been released, which tells me more charges 142 00:08:13,640 --> 00:08:16,920 Speaker 1: could be forthcoming. Usually when a law enforcement agency doesn't 143 00:08:16,920 --> 00:08:19,840 Speaker 1: release the names of the suspects, it means the investigation 144 00:08:20,000 --> 00:08:22,360 Speaker 1: is ongoing and more poachers could be added to the case. 145 00:08:24,240 --> 00:08:26,840 Speaker 1: In Idaho, man has been banned from hunting for life 146 00:08:26,880 --> 00:08:30,000 Speaker 1: after illegally killing a bull moose and leaving it to waste. 147 00:08:30,280 --> 00:08:33,400 Speaker 1: Prosecutors say Raymond Black shot the trophy class bowl without 148 00:08:33,400 --> 00:08:36,520 Speaker 1: a moose tag near Wolf Lodge Saddle in Cootney County, 149 00:08:36,640 --> 00:08:38,800 Speaker 1: but when he tried to load the animal into his truck, 150 00:08:39,000 --> 00:08:41,360 Speaker 1: he got stuck in the snow. He met two legal 151 00:08:41,440 --> 00:08:43,920 Speaker 1: hunters while hiking out to get help, which is when 152 00:08:43,920 --> 00:08:47,480 Speaker 1: his real troubles began. These two hunters immediately sent something 153 00:08:47,559 --> 00:08:50,480 Speaker 1: rotten in Denmark, and they reported their interaction to the 154 00:08:50,520 --> 00:08:54,800 Speaker 1: Citizens Against Poaching hotline. They also recorded Black's license plate number, 155 00:08:54,880 --> 00:08:58,640 Speaker 1: so it was easy for law enforcement to track him down. Meanwhile, 156 00:08:58,800 --> 00:09:01,320 Speaker 1: sensing the jig was up, Black high tailed it out 157 00:09:01,320 --> 00:09:03,240 Speaker 1: of there as soon as he got his truck out 158 00:09:03,280 --> 00:09:06,720 Speaker 1: of the snow. Ironically, this only added to his rap sheet. 159 00:09:06,840 --> 00:09:10,040 Speaker 1: Now not only had he illegally killed a bull moose, 160 00:09:10,240 --> 00:09:12,760 Speaker 1: he'd also left it to waste. Along with the lifetime 161 00:09:12,840 --> 00:09:15,240 Speaker 1: hunting band, he was forced to pay twelve thousand dollars 162 00:09:15,240 --> 00:09:19,880 Speaker 1: in fines and restitution and serve three years of supervised probation. 163 00:09:20,559 --> 00:09:23,439 Speaker 1: In Idaho, all moose tags are once in a lifetime. 164 00:09:23,679 --> 00:09:27,160 Speaker 1: They're also difficult to get, even for residents. The latest 165 00:09:27,240 --> 00:09:30,760 Speaker 1: data for twenty twenty four shows that indesirable units where 166 00:09:30,760 --> 00:09:33,480 Speaker 1: more than one hundred people applied, the draw odds are 167 00:09:33,520 --> 00:09:37,080 Speaker 1: always less than ten percent. The moose population is doing 168 00:09:37,120 --> 00:09:41,040 Speaker 1: well in Idaho, with between ten and twelve thousand individuals, 169 00:09:41,240 --> 00:09:44,520 Speaker 1: but Black's actions still stole an animal from someone who 170 00:09:44,559 --> 00:09:47,160 Speaker 1: may have been waiting their entire life to draw a 171 00:09:47,240 --> 00:09:52,800 Speaker 1: tag and have that opportunity. Game wardens don't always have 172 00:09:52,920 --> 00:09:55,560 Speaker 1: help from other law abiding hunters. Sometimes they have to 173 00:09:55,600 --> 00:09:58,319 Speaker 1: catch poachers all by themselves, and a new Dear decoy 174 00:09:58,400 --> 00:10:00,600 Speaker 1: is helping them stay one step ahead of the bad guys. 175 00:10:01,000 --> 00:10:03,240 Speaker 1: Big thanks to listener Bob Nielsen for bringing this to 176 00:10:03,280 --> 00:10:06,920 Speaker 1: my attention. Thermal scopes have allowed poachers to hunt at 177 00:10:07,040 --> 00:10:09,920 Speaker 1: night without a big flashlight, but they've also reduced the 178 00:10:09,960 --> 00:10:13,640 Speaker 1: efficacy of deer decoys. We've talked about this tactic before. 179 00:10:14,200 --> 00:10:16,600 Speaker 1: Game wardens set out a deer decoy along a road 180 00:10:16,600 --> 00:10:18,480 Speaker 1: at night and wait for a would be poacher to 181 00:10:18,520 --> 00:10:21,720 Speaker 1: take a shot. Problem is, these decoys don't give off 182 00:10:21,760 --> 00:10:24,480 Speaker 1: a heat signature. If the poacher has a thermal optic, 183 00:10:24,600 --> 00:10:27,000 Speaker 1: they can spot the fraud right away and just keep 184 00:10:27,040 --> 00:10:31,920 Speaker 1: on driving. That's where Brian Wolfsligo comes in. Wolsligel is 185 00:10:31,920 --> 00:10:36,000 Speaker 1: a Wisconsin taxidermist who specializes in crafting the most lifelike 186 00:10:36,080 --> 00:10:39,360 Speaker 1: deer decoys for law enforcement use. According to a recent 187 00:10:39,400 --> 00:10:42,120 Speaker 1: report in The Wall Street Journal, his decoys wiggle their ears, 188 00:10:42,200 --> 00:10:45,679 Speaker 1: move their legs, and in some cases, poop. He uses small, 189 00:10:45,720 --> 00:10:48,400 Speaker 1: remote controlled motors to allow game wardens to control the 190 00:10:48,440 --> 00:10:51,720 Speaker 1: animal's various body parts, and he substitutes deer pellets with 191 00:10:51,760 --> 00:10:55,080 Speaker 1: brown m and m's. Most recently, he has included heating 192 00:10:55,120 --> 00:10:58,320 Speaker 1: pads and coils within the deer's body to replicate the 193 00:10:58,360 --> 00:11:02,240 Speaker 1: animal's heat signature. His next models will emit vapor to 194 00:11:02,320 --> 00:11:05,120 Speaker 1: look like a deer breathing on cold mornings or nights. 195 00:11:05,559 --> 00:11:08,679 Speaker 1: Wolfslegel is doing important work for law enforcement, but if 196 00:11:08,679 --> 00:11:10,880 Speaker 1: he keeps going down this road, he may one day 197 00:11:11,000 --> 00:11:14,080 Speaker 1: have to ask himself when do his deer cross the 198 00:11:14,080 --> 00:11:18,760 Speaker 1: line and become more than just robots. I'm not saying 199 00:11:18,800 --> 00:11:21,240 Speaker 1: his deer become sentient and try to take over the 200 00:11:21,240 --> 00:11:24,200 Speaker 1: world I robot style, but I wouldn't want to see 201 00:11:24,240 --> 00:11:29,960 Speaker 1: any kind of joint chat GPTAI situation here, although it 202 00:11:30,000 --> 00:11:36,319 Speaker 1: would make a heck of a new Terminator series. Poachers 203 00:11:36,360 --> 00:11:39,960 Speaker 1: aren't the only ones being seduced by warm, frisky decoys 204 00:11:40,000 --> 00:11:43,000 Speaker 1: these days. Pythons down in the Florida Everglades are also 205 00:11:43,120 --> 00:11:46,640 Speaker 1: being targeted with the same approach. Thanks to John Sebarse 206 00:11:46,880 --> 00:11:49,560 Speaker 1: for sending this one in. We have covered a whole 207 00:11:49,559 --> 00:11:52,360 Speaker 1: bunch of efforts to control the catastrophic spread of Burmese 208 00:11:52,400 --> 00:11:56,679 Speaker 1: pythons in Florida. Train sniffing dogs an annual hunting competition 209 00:11:56,760 --> 00:12:00,280 Speaker 1: with a ten thousand dollars grand prize, even unlucky pos 210 00:12:00,320 --> 00:12:03,520 Speaker 1: wearing GPS collars, but not much seems to be making 211 00:12:03,520 --> 00:12:06,800 Speaker 1: a dent. However, scientists at the University of Florida showed 212 00:12:06,840 --> 00:12:10,520 Speaker 1: promising progress over the past decade by using live rabbits 213 00:12:10,600 --> 00:12:15,160 Speaker 1: as python bait. Unfortunately, keeping those rabbits alive took significant 214 00:12:15,200 --> 00:12:19,480 Speaker 1: time and effort, and so you of F Professor Robert 215 00:12:19,520 --> 00:12:23,040 Speaker 1: McCleary went and developed the next best thing, a solar 216 00:12:23,040 --> 00:12:26,520 Speaker 1: power to robot bunny decoy. McCleary and his colleagues hollowed 217 00:12:26,520 --> 00:12:29,840 Speaker 1: out forty toy stuffed bunnies and outfitted them with motors 218 00:12:29,880 --> 00:12:33,280 Speaker 1: that create realistic movements, as well as heating elements that 219 00:12:33,360 --> 00:12:37,000 Speaker 1: stimulate body warmth. Using warmth to fool these snakes is 220 00:12:37,120 --> 00:12:41,319 Speaker 1: especially important. Pythons have several heat sensing divots around their noses. 221 00:12:41,559 --> 00:12:44,800 Speaker 1: These pits are densely packed with blood vessels that conduct 222 00:12:44,880 --> 00:12:47,680 Speaker 1: the heat of a thermal stimulus away from the area's 223 00:12:47,720 --> 00:12:51,040 Speaker 1: nerve endings, returning them to their ready state almost instantly. 224 00:12:51,440 --> 00:12:54,800 Speaker 1: Impulses from those nerves are then fed directly into the 225 00:12:54,880 --> 00:12:57,960 Speaker 1: visual system of the snake's brain, allowing it to construct 226 00:12:58,000 --> 00:13:01,880 Speaker 1: a real time map of the warm bodies around it. Yikes. 227 00:13:02,320 --> 00:13:05,400 Speaker 1: Not for the first time, I feel grateful to not 228 00:13:05,520 --> 00:13:09,040 Speaker 1: be a floridian possum with a fifteen foot long heat 229 00:13:09,080 --> 00:13:12,440 Speaker 1: seeking snake missile on my tail. But back to the decoys. 230 00:13:12,480 --> 00:13:15,160 Speaker 1: After the motors and heat coils are installed, the robot 231 00:13:15,160 --> 00:13:18,079 Speaker 1: bunnies are waterproofed and set out in front of cameras 232 00:13:18,080 --> 00:13:21,480 Speaker 1: that use AI to discern python movement from all others 233 00:13:21,559 --> 00:13:24,680 Speaker 1: slithering that goes on in the everglades. Once the camera 234 00:13:24,760 --> 00:13:28,240 Speaker 1: detection system senses a python, it then alerts a local 235 00:13:28,240 --> 00:13:31,680 Speaker 1: snake hunter to come make the arrest. Seems pretty neat. 236 00:13:31,960 --> 00:13:35,079 Speaker 1: These forty decoys are just an initial test run. If 237 00:13:35,120 --> 00:13:39,240 Speaker 1: they are successful, then they'll be replicated throughout the everglades. However, 238 00:13:39,400 --> 00:13:41,760 Speaker 1: if they don't bring in the desired number of pythons, 239 00:13:41,800 --> 00:13:44,360 Speaker 1: the U of F scientists plan on adding rabbits scent 240 00:13:44,559 --> 00:13:47,400 Speaker 1: to the decoys as well. Seems a lot more cost 241 00:13:47,400 --> 00:13:50,480 Speaker 1: effective to use live rabbits, but you know, I get it. 242 00:13:52,320 --> 00:13:55,479 Speaker 1: Smell does not seem to have been the major motivating 243 00:13:55,520 --> 00:13:59,280 Speaker 1: factor for some of our early ancestors. Scientists at Purdue 244 00:13:59,400 --> 00:14:05,000 Speaker 1: University have recently proposed a new and challenging explanation for 245 00:14:05,080 --> 00:14:08,960 Speaker 1: a long standing question about early hominid diets. Tests of 246 00:14:09,000 --> 00:14:12,360 Speaker 1: the bone tissue of ancient Neanderthals and Homo sapiens have 247 00:14:12,520 --> 00:14:16,400 Speaker 1: consistently turned up extremely high levels of nitrogen, an element 248 00:14:16,480 --> 00:14:19,400 Speaker 1: that builds up in the tissue of carnivores. The nitrogen 249 00:14:19,440 --> 00:14:22,320 Speaker 1: levels in these early people are so high that they 250 00:14:22,400 --> 00:14:26,240 Speaker 1: often beat out so called hyper carnivorous animals, the wolves 251 00:14:26,280 --> 00:14:29,400 Speaker 1: and big cats that eat nothing but meat in enormous quantities. 252 00:14:29,760 --> 00:14:33,920 Speaker 1: But humans and neanderthals almost definitely didn't eat that much meat. 253 00:14:34,280 --> 00:14:36,640 Speaker 1: Not only do we know they depended on plant foods, 254 00:14:36,880 --> 00:14:40,760 Speaker 1: but hominid livers also just can't process such large amounts 255 00:14:40,800 --> 00:14:44,720 Speaker 1: of protein. So what exactly is going on here? Well, 256 00:14:45,120 --> 00:14:47,680 Speaker 1: you likely enjoy your cheese and beer and coffee, right, 257 00:14:48,040 --> 00:14:51,240 Speaker 1: Those are all the product of fermentation, letting your food 258 00:14:51,280 --> 00:14:54,800 Speaker 1: spoil in a controlled way, and the produced Scientists theorize 259 00:14:54,880 --> 00:14:57,920 Speaker 1: that our early ancestors took it one step further from 260 00:14:57,960 --> 00:15:04,800 Speaker 1: fermentation to intentional putrification, eating meat after it rots. More specifically, 261 00:15:05,040 --> 00:15:09,080 Speaker 1: they were likely eating the nitrogen rich maggots that developed 262 00:15:09,160 --> 00:15:13,040 Speaker 1: on the rotting meat. The study observed human cadavers undergoing 263 00:15:13,120 --> 00:15:15,560 Speaker 1: up to two years of putrification at the University of 264 00:15:15,600 --> 00:15:19,160 Speaker 1: Tennessee's Forensic Anthropology Center. They tested the rotting flesh for 265 00:15:19,200 --> 00:15:22,240 Speaker 1: its nitrogen content, and then gathered the fly larvae that 266 00:15:22,280 --> 00:15:25,080 Speaker 1: appeared on the flesh and tested those larvae as well. 267 00:15:25,560 --> 00:15:28,840 Speaker 1: Sure enough, the maggots contained sky high levels of nitrogen. 268 00:15:29,080 --> 00:15:32,000 Speaker 1: If those larvae were a regular part of early diets, 269 00:15:32,000 --> 00:15:35,239 Speaker 1: it would easily explain the amount of nitrogen in excavated 270 00:15:35,280 --> 00:15:38,760 Speaker 1: Neanderthal and Homo sapien bone. Now you might be saying 271 00:15:38,760 --> 00:15:41,240 Speaker 1: to yourself, col there's a bunch of nitrogen in the 272 00:15:41,320 --> 00:15:43,520 Speaker 1: miracle grow I put on my lawn, but you don't 273 00:15:43,520 --> 00:15:46,800 Speaker 1: see me eating handfuls of that. It's impossible that people 274 00:15:46,800 --> 00:15:50,000 Speaker 1: would be eating spoiled meat, let alone maggots. For pete's sake, 275 00:15:50,320 --> 00:15:53,240 Speaker 1: you might say, well, you might be surprised by what 276 00:15:53,360 --> 00:15:56,240 Speaker 1: is possible. The Purdue team got the idea to test 277 00:15:56,280 --> 00:15:59,640 Speaker 1: the maggot nitrogen levels after reading about the dozens of 278 00:15:59,640 --> 00:16:04,280 Speaker 1: traditional cultures that regularly ate intentionally putrefying meat and the 279 00:16:04,320 --> 00:16:09,239 Speaker 1: resulting insect larvae. Early anthropological accounts are full of references 280 00:16:09,280 --> 00:16:13,080 Speaker 1: to this practice, especially in far northern cultures that stored 281 00:16:13,160 --> 00:16:17,080 Speaker 1: hunted meat for weeks, months, in even entire seasons. Using 282 00:16:17,120 --> 00:16:20,440 Speaker 1: the digestion of the larvae is a form of food preparation. 283 00:16:21,040 --> 00:16:25,240 Speaker 1: For example, when an early anthropologists expressed the disgust they 284 00:16:25,320 --> 00:16:28,560 Speaker 1: had about the Netslect people of Northern Canada eating the 285 00:16:28,560 --> 00:16:32,560 Speaker 1: maggots on a cariboo carcass, a Netslect hunter said, quote, 286 00:16:32,840 --> 00:16:36,200 Speaker 1: you yourself like caribou meat, and what are these maggots 287 00:16:36,240 --> 00:16:39,480 Speaker 1: but live cariboo meat. They taste just the same as 288 00:16:39,480 --> 00:16:42,520 Speaker 1: the meat and are refreshing to the mouth. There you have. 289 00:16:43,040 --> 00:16:45,560 Speaker 1: When another anthropologist complained about the smell of the rotting 290 00:16:45,600 --> 00:16:48,480 Speaker 1: meat being eaten by the Yupik of Alaska, one of 291 00:16:48,480 --> 00:16:52,040 Speaker 1: the native diners responded simply, well, we don't eat the smell. 292 00:16:52,600 --> 00:16:55,280 Speaker 1: Another true statement. Even today, you can go to the 293 00:16:55,320 --> 00:16:59,080 Speaker 1: Italian island of Sardinia and enjoy the delicacy known as 294 00:16:59,240 --> 00:17:02,720 Speaker 1: kassu mars, a local cheese which is consumed with the 295 00:17:02,840 --> 00:17:06,399 Speaker 1: larvae of cheese flies living in it. So if modern 296 00:17:06,440 --> 00:17:10,000 Speaker 1: humans do it, why wouldn't the Neanderthals. Although the study 297 00:17:10,000 --> 00:17:12,520 Speaker 1: calls for further experiments with the kinds of meat that 298 00:17:12,640 --> 00:17:15,600 Speaker 1: early hominids would have been eating to confirm these findings, 299 00:17:15,880 --> 00:17:20,520 Speaker 1: early indications seem promising. So next time there's a power 300 00:17:20,560 --> 00:17:23,360 Speaker 1: outage and all that venison goes bad in your freezer. 301 00:17:24,000 --> 00:17:28,320 Speaker 1: Turn lemons into lemonade, you know what I mean. Your 302 00:17:28,320 --> 00:17:33,840 Speaker 1: bones will be stronger for it. Speaking of game meat, 303 00:17:33,960 --> 00:17:36,040 Speaker 1: that might mess you up if you handle it wrong. 304 00:17:36,080 --> 00:17:39,200 Speaker 1: An official report has concluded that the twenty twenty three 305 00:17:39,240 --> 00:17:42,240 Speaker 1: plane crash that killed the husband of an Alaskan US 306 00:17:42,280 --> 00:17:45,720 Speaker 1: Congress representative was caused by an overloaded cargo of moose 307 00:17:45,760 --> 00:17:48,160 Speaker 1: meat along with a set of antlers that were attached 308 00:17:48,160 --> 00:17:51,119 Speaker 1: to the outside of the plane. The National Transit Safety 309 00:17:51,119 --> 00:17:54,000 Speaker 1: Board recently issued its review of the crash, which took 310 00:17:54,040 --> 00:17:57,960 Speaker 1: place after the pilot, Eugene Peltola, had dropped off two 311 00:17:58,040 --> 00:18:02,480 Speaker 1: hunters in Yukon Delta National Wildlfe Refuge in southwest Alaska 312 00:18:02,560 --> 00:18:05,639 Speaker 1: and was taking off with over five hundred pounds of 313 00:18:05,720 --> 00:18:08,960 Speaker 1: moose that put the plane fully one hundred and seventeen 314 00:18:09,000 --> 00:18:12,199 Speaker 1: pounds over its takeoff weight. The report went on to 315 00:18:12,240 --> 00:18:15,040 Speaker 1: calculate that even once the plane had burned off all 316 00:18:15,080 --> 00:18:17,760 Speaker 1: the fuel on the way to its destination, it still 317 00:18:17,760 --> 00:18:21,040 Speaker 1: would have been a whopping one hundred and eighty pounds 318 00:18:21,160 --> 00:18:24,639 Speaker 1: over its max landing weight. To make matters worse, the 319 00:18:24,680 --> 00:18:28,600 Speaker 1: moose's antlers had been attached to the right wingstrut, compromising 320 00:18:28,640 --> 00:18:32,399 Speaker 1: the aircraft's aerodynamics. Although I have seen many properly loaded 321 00:18:32,440 --> 00:18:35,960 Speaker 1: bush planes that have antler's last the fuselage, you need 322 00:18:36,000 --> 00:18:39,879 Speaker 1: official Federal Aviation Administration approval to do so, which the 323 00:18:39,920 --> 00:18:42,800 Speaker 1: owners of the plane had not obtained. Weather conditions at 324 00:18:42,800 --> 00:18:46,199 Speaker 1: the takeoff location were also especially rough. Summing up the 325 00:18:46,240 --> 00:18:49,520 Speaker 1: factors of the overload, the antlers, and the weather, Clint Johnson, 326 00:18:49,560 --> 00:18:54,160 Speaker 1: Alaska Region chief for the NTSB, told local station KTUU, quote, 327 00:18:54,480 --> 00:18:56,359 Speaker 1: if you would have been able to take one of 328 00:18:56,359 --> 00:18:59,560 Speaker 1: those items out, we probably wouldn't be having this conversation. 329 00:18:59,840 --> 00:19:04,160 Speaker 1: But those things, all in combination, led to this tragic accident. 330 00:19:04,480 --> 00:19:07,199 Speaker 1: The report also found that the piper cub involved in 331 00:19:07,240 --> 00:19:09,320 Speaker 1: the crash was more than seventy years old, which is 332 00:19:09,320 --> 00:19:11,560 Speaker 1: not uncommon, and many of the repairs made to it 333 00:19:11,600 --> 00:19:15,439 Speaker 1: over the years took place before the FAA issued guideline 334 00:19:15,480 --> 00:19:19,560 Speaker 1: stating how those repairs should be done. The pilot, Eugene Peltola, 335 00:19:19,800 --> 00:19:21,840 Speaker 1: certainly knew his way around the area. He was the 336 00:19:21,880 --> 00:19:25,080 Speaker 1: former manager of the Yukon Delta National Wildlife Refuge and 337 00:19:25,160 --> 00:19:28,399 Speaker 1: former Alaska director of the Bureau of Indian Affairs. He 338 00:19:28,480 --> 00:19:32,240 Speaker 1: was husband to former US Representative Mary Peltola, the first 339 00:19:32,280 --> 00:19:35,679 Speaker 1: Alaska Native to be elected to Congress. This finding by 340 00:19:35,720 --> 00:19:39,240 Speaker 1: the NTSB will add ammunition to the lawsuit filed by 341 00:19:39,320 --> 00:19:42,520 Speaker 1: Mary Peltola against the owner of the transportation company that 342 00:19:42,560 --> 00:19:45,560 Speaker 1: owned the plane. The suit alleges that the company allowed 343 00:19:45,600 --> 00:19:49,160 Speaker 1: Eugene Quote to fly excessive hours, to fly without adequate 344 00:19:49,200 --> 00:19:52,959 Speaker 1: sleep or rest, to fly under unreasonably dangerous conditions, and 345 00:19:53,040 --> 00:19:57,119 Speaker 1: to carry an external load without the required permit. Now, 346 00:19:57,600 --> 00:20:01,200 Speaker 1: I have had my fair share of bush plane landings 347 00:20:01,600 --> 00:20:04,399 Speaker 1: and takeoffs and the part in between where you're flying 348 00:20:04,400 --> 00:20:08,600 Speaker 1: and thinking how freaking cool this is. Occasionally I've had 349 00:20:08,640 --> 00:20:11,720 Speaker 1: to kind of close my eyes and pucker my sphincter 350 00:20:12,200 --> 00:20:15,720 Speaker 1: because my fate is not in my own hands. But 351 00:20:15,840 --> 00:20:18,320 Speaker 1: the operators of those planes got me through every time. 352 00:20:19,080 --> 00:20:22,960 Speaker 1: Most of these individuals are extremely by the book. Accidents 353 00:20:23,080 --> 00:20:25,760 Speaker 1: like this one are a reminder why the scale next 354 00:20:25,760 --> 00:20:28,880 Speaker 1: to the plane is an important part of the aircraft. 355 00:20:29,000 --> 00:20:32,440 Speaker 1: But I want to push back a little bit here 356 00:20:32,920 --> 00:20:36,360 Speaker 1: on the fact that this is all on the pilot. Ultimately, 357 00:20:36,400 --> 00:20:40,120 Speaker 1: it's the pilot's responsibility for sure, it is, and they 358 00:20:40,200 --> 00:20:44,440 Speaker 1: are going off of years of experience when they make 359 00:20:44,480 --> 00:20:49,320 Speaker 1: decisions like this, but more than once I have seen 360 00:20:49,359 --> 00:20:52,720 Speaker 1: a passenger on a plane say I want to get 361 00:20:52,760 --> 00:20:55,000 Speaker 1: out of here right now. I'll make it worth your 362 00:20:55,040 --> 00:20:57,800 Speaker 1: while if we can do this in one trip instead 363 00:20:57,840 --> 00:21:00,880 Speaker 1: of going back for the rack later, or the meat later, 364 00:21:01,080 --> 00:21:04,879 Speaker 1: or whatever the deal is. Heart goes out to these people, 365 00:21:04,960 --> 00:21:08,560 Speaker 1: but it takes two to tango, you know what I mean. Anyway, 366 00:21:08,680 --> 00:21:10,399 Speaker 1: that's all I got for you this week. Thank you 367 00:21:10,440 --> 00:21:13,199 Speaker 1: so much for listening. Get outside and go do something, 368 00:21:13,320 --> 00:21:16,399 Speaker 1: do better than I have. This summer season's right around 369 00:21:16,440 --> 00:21:20,159 Speaker 1: the corner. Kids stoked. Thanks a ton. I'll talk to 370 00:21:20,200 --> 00:21:23,399 Speaker 1: you next week. Remember to write in ask c A L. 371 00:21:23,520 --> 00:21:26,560 Speaker 1: That's askcal at themeeteater dot com. Let us know what's 372 00:21:26,560 --> 00:21:28,080 Speaker 1: going on in your neck of the woods because we 373 00:21:28,119 --> 00:21:31,280 Speaker 1: sure appreciate it. Thanks again, talk to you soon.