1 00:00:09,400 --> 00:00:13,320 Speaker 1: From Media Doors World News headquarters in Bozeman, Montana. This 2 00:00:13,400 --> 00:00:16,680 Speaker 1: is Kel's we Can review with Ryan kel Kell in 3 00:00:17,239 --> 00:00:21,680 Speaker 1: now Here's Kel. Recently, a pair of trains outside of 4 00:00:21,680 --> 00:00:25,799 Speaker 1: Glacier National Park hit and killed three grizzly bears. The 5 00:00:25,880 --> 00:00:30,440 Speaker 1: sound cubs all Ursus arctas horribilius, one of the best 6 00:00:30,520 --> 00:00:33,720 Speaker 1: Latin names out there, were walking the tracks grazing on 7 00:00:33,760 --> 00:00:36,839 Speaker 1: the green grass just east of Mariah's Pass when a 8 00:00:36,920 --> 00:00:41,040 Speaker 1: train struck and killed the two two pound female. Later 9 00:00:41,159 --> 00:00:44,560 Speaker 1: that day, at the same location, the two male yearlings 10 00:00:44,760 --> 00:00:48,000 Speaker 1: were struck and killed by another train. Montana Fish, Wildlife 11 00:00:48,000 --> 00:00:51,400 Speaker 1: and Parks officials inspected the site and determined that there 12 00:00:51,400 --> 00:00:56,440 Speaker 1: were no unnatural attractants like spilled grain, grease, or anything else, 13 00:00:56,840 --> 00:00:58,760 Speaker 1: just a case of being in the wrong place at 14 00:00:58,760 --> 00:01:01,520 Speaker 1: the wrong time. Had to hear about this incident, but 15 00:01:01,640 --> 00:01:04,520 Speaker 1: trains killing bears on the tracks isn't a new occurrence. 16 00:01:05,200 --> 00:01:09,200 Speaker 1: This week more bears, the amazing correlation between fish stocking 17 00:01:09,200 --> 00:01:13,080 Speaker 1: and swan poop smugglers, and more. But first I'm gonna 18 00:01:13,080 --> 00:01:15,759 Speaker 1: tell you about my week. I wrapped up a trip 19 00:01:15,800 --> 00:01:18,560 Speaker 1: to Florida with a hot lap to Bend, Oregon, where 20 00:01:18,560 --> 00:01:20,240 Speaker 1: I got to hang out with some great folks with 21 00:01:20,280 --> 00:01:23,760 Speaker 1: back country hunters and anglers. Then proceeded onto Montana for 22 00:01:23,800 --> 00:01:25,840 Speaker 1: a couple of days fishing on the Big Hole River. 23 00:01:26,160 --> 00:01:28,520 Speaker 1: Got to clear up one thing from my Florida trip. 24 00:01:28,720 --> 00:01:30,480 Speaker 1: We did a lot of late night eating at this 25 00:01:30,520 --> 00:01:33,160 Speaker 1: place called the Lazy Flamingo. For those of you who 26 00:01:33,160 --> 00:01:36,360 Speaker 1: aren't hip on the subject of flamingos, a group of 27 00:01:36,360 --> 00:01:39,360 Speaker 1: flamingos is called the Flamboyance. You can pick out the 28 00:01:39,440 --> 00:01:43,200 Speaker 1: Lazy Flamingo and a Flamboyance relatively easily. It's the one 29 00:01:43,280 --> 00:01:47,320 Speaker 1: standing on two feet. Anyway, we ate at this establishment 30 00:01:47,400 --> 00:01:49,720 Speaker 1: mostly for the fact that it's a great place, but 31 00:01:49,800 --> 00:01:51,559 Speaker 1: also for the fact that it's one of the only 32 00:01:51,600 --> 00:01:54,680 Speaker 1: places on Santa bell Island that serves food later than 33 00:01:54,720 --> 00:01:57,680 Speaker 1: eight pm. Like all other places on Santa Bell, you 34 00:01:57,720 --> 00:02:00,440 Speaker 1: can't get a plastic straw at the Lazy Flamingo. You 35 00:02:00,480 --> 00:02:03,440 Speaker 1: may recall that video of folks pulling a plastic straw 36 00:02:03,520 --> 00:02:06,920 Speaker 1: from a sea turtles nose. Well, after that video went around, 37 00:02:07,040 --> 00:02:10,320 Speaker 1: folks started giving up on plastic drinking straws. To be clear, 38 00:02:10,600 --> 00:02:14,040 Speaker 1: I think this is great. Roughly five hundred million plastic 39 00:02:14,120 --> 00:02:17,040 Speaker 1: drinking straws are used in the US every day. Straws 40 00:02:17,040 --> 00:02:20,240 Speaker 1: are the eleventh most found piece of trash in our oceans. 41 00:02:20,440 --> 00:02:23,280 Speaker 1: We need to seriously cut back on our ridiculous and 42 00:02:23,440 --> 00:02:26,200 Speaker 1: kind of weirdly childish if you think about it, use 43 00:02:26,240 --> 00:02:28,520 Speaker 1: of straws that we suck out of for a couple 44 00:02:28,560 --> 00:02:30,880 Speaker 1: of minutes and then throw away. But what I don't 45 00:02:30,960 --> 00:02:34,880 Speaker 1: understand is every damned meal at the Lazy Flamingo is 46 00:02:34,880 --> 00:02:37,919 Speaker 1: served with plastic utensils. Do we really need a video 47 00:02:37,960 --> 00:02:40,720 Speaker 1: of someone slowly pulling a plastic fork out of the 48 00:02:40,760 --> 00:02:44,160 Speaker 1: orifice of a threatened species to instigate cutting back on 49 00:02:44,200 --> 00:02:47,720 Speaker 1: this single use utensil nonsense as well? Think of last 50 00:02:47,760 --> 00:02:50,840 Speaker 1: week's podcast. Whether you like the plastic or hate it, 51 00:02:51,040 --> 00:02:54,399 Speaker 1: you're eating it roughly one credit cards worth of plastic 52 00:02:54,440 --> 00:02:58,760 Speaker 1: a year, folks. Anyway, enough of that, back to bears 53 00:02:58,760 --> 00:03:02,240 Speaker 1: and trains. In my younger days, I did some guiding 54 00:03:02,240 --> 00:03:05,280 Speaker 1: out of West Glacier, Montana. That town is located on 55 00:03:05,320 --> 00:03:08,520 Speaker 1: the same railroad tracks the grizz Method Demise on, just 56 00:03:08,560 --> 00:03:11,519 Speaker 1: a bit to the west of Mariah's Pass. One day, 57 00:03:11,800 --> 00:03:14,120 Speaker 1: I was chatting with an old cadre that had gotten 58 00:03:14,120 --> 00:03:17,160 Speaker 1: his first train engineering job with what was then the 59 00:03:17,200 --> 00:03:20,760 Speaker 1: Burlington Northern Railroad. His first day driving the train, he 60 00:03:20,840 --> 00:03:23,360 Speaker 1: killed the grizzly. It had been raining heavily when the 61 00:03:23,400 --> 00:03:27,480 Speaker 1: young engineer, operating under the supervision of a senior railway man, 62 00:03:27,680 --> 00:03:30,040 Speaker 1: started through one of the train tunnels just outside of 63 00:03:30,040 --> 00:03:32,480 Speaker 1: West Glacier. As they started to come out of the tunnel, 64 00:03:32,600 --> 00:03:34,639 Speaker 1: a grizzly stood up in the middle of the tracks, 65 00:03:34,800 --> 00:03:37,800 Speaker 1: and the engineer watched helplessly as they hit and killed 66 00:03:37,840 --> 00:03:40,200 Speaker 1: the grizz. I remember being a little shocked when he 67 00:03:40,240 --> 00:03:42,400 Speaker 1: told me how happy he was when he realized it 68 00:03:42,440 --> 00:03:46,080 Speaker 1: was a bear, even though grizz populations in and around 69 00:03:46,080 --> 00:03:48,920 Speaker 1: the park were healthy animals, and national park settings tend 70 00:03:48,960 --> 00:03:51,200 Speaker 1: to be discussed with the higher level of a steam 71 00:03:51,320 --> 00:03:54,520 Speaker 1: than those across the street in a plain old national forest. 72 00:03:54,640 --> 00:03:58,080 Speaker 1: For whatever reason, when I asked this old engineer why 73 00:03:58,120 --> 00:04:00,720 Speaker 1: it was so happy that it was quote only a 74 00:04:00,760 --> 00:04:03,680 Speaker 1: grizz he told me that when the bears suddenly stood 75 00:04:03,720 --> 00:04:05,720 Speaker 1: in front of the train, it looked like an old 76 00:04:05,760 --> 00:04:09,720 Speaker 1: hobo in an overcoat soaked with rain. He sincerely thought, 77 00:04:09,800 --> 00:04:12,000 Speaker 1: on his first day of being a train engineer, he 78 00:04:12,000 --> 00:04:14,720 Speaker 1: had just killed a man taking refuge in the train tunnel. 79 00:04:15,040 --> 00:04:17,480 Speaker 1: He was so convinced and shaken he had to wait 80 00:04:17,520 --> 00:04:20,080 Speaker 1: for the more experienced railroader to tell him what had 81 00:04:20,120 --> 00:04:22,720 Speaker 1: just happened before he could calm down. Heck of a 82 00:04:22,800 --> 00:04:25,960 Speaker 1: first day on the job. Some years later, another bear 83 00:04:26,000 --> 00:04:29,720 Speaker 1: story on the same tracks made headlines. A train hauling 84 00:04:29,760 --> 00:04:34,000 Speaker 1: corn derailed, spilling four hundred and sixty nine thousand bushels 85 00:04:34,120 --> 00:04:37,400 Speaker 1: for twelve thousand metric tons of corn. If you're more 86 00:04:37,480 --> 00:04:41,040 Speaker 1: comfortable with that approximation. The corn wasn't salvageable, so it 87 00:04:41,120 --> 00:04:43,760 Speaker 1: was just pushed off the tracks and covered. As spring 88 00:04:43,839 --> 00:04:47,480 Speaker 1: thaw came around, conditions became right for fermentation of the corn, 89 00:04:47,560 --> 00:04:50,800 Speaker 1: which made for quite the critter attractive. One observer claimed 90 00:04:50,800 --> 00:04:53,279 Speaker 1: to have witnessed twenty grizzly bears feeding at the spill 91 00:04:53,320 --> 00:04:56,560 Speaker 1: site at one time. Bears were really taking advantage of 92 00:04:56,600 --> 00:04:59,840 Speaker 1: this fermented sour mash situation to the point of being 93 00:05:00,120 --> 00:05:03,839 Speaker 1: very comfortable around passing trains. Some witnesses believe the bears 94 00:05:03,839 --> 00:05:09,400 Speaker 1: to be visibly intoxicated as well. In fact, one firsthand 95 00:05:09,400 --> 00:05:13,040 Speaker 1: account talks about a grizz noticeably drunk sunning his belly 96 00:05:13,080 --> 00:05:16,040 Speaker 1: in the middle of the tracks. Refusing to move reminds 97 00:05:16,080 --> 00:05:18,640 Speaker 1: me a bit of that Grateful Dead song Casey Jones, 98 00:05:18,839 --> 00:05:21,680 Speaker 1: only instead of the conductor high on cocaine, you've got 99 00:05:21,680 --> 00:05:25,599 Speaker 1: grizzlies high on fermented corn. Whether the bears were drunk 100 00:05:25,800 --> 00:05:28,159 Speaker 1: or just too comfortable with trains, we don't know, but 101 00:05:28,240 --> 00:05:31,600 Speaker 1: this congregation resulted in the depths of at least nine 102 00:05:31,640 --> 00:05:36,600 Speaker 1: grizz by train between Because of incidents like this, a 103 00:05:36,720 --> 00:05:40,039 Speaker 1: joint effort between park officials, Montana Fishing Game, and the 104 00:05:40,120 --> 00:05:44,480 Speaker 1: railroad resulted in the Great Northern Stewardship Area. Burlington Northern 105 00:05:44,560 --> 00:05:47,520 Speaker 1: Santa Fe have taken measures to reduce food growing on 106 00:05:47,600 --> 00:05:51,320 Speaker 1: tracks and food like spilled grain from trains being deposited 107 00:05:51,360 --> 00:05:53,560 Speaker 1: on tracks. They even have a truck fitted with a 108 00:05:53,680 --> 00:05:56,320 Speaker 1: vacuum to pick up spilled grain and a crew to 109 00:05:56,360 --> 00:05:59,080 Speaker 1: pick up carcasses of animals hit by trains that could 110 00:05:59,120 --> 00:06:02,240 Speaker 1: attract more bears. Looking at the numbers, the efforts are 111 00:06:02,240 --> 00:06:05,600 Speaker 1: paying off. Between two thousand ten and two thousand fifteen, 112 00:06:05,880 --> 00:06:08,040 Speaker 1: only four grids were killed. When you think of the 113 00:06:08,160 --> 00:06:11,560 Speaker 1: role the railroad has played in America, particularly to the West, 114 00:06:11,720 --> 00:06:13,919 Speaker 1: this story kind of gives a person a bit of 115 00:06:14,080 --> 00:06:16,960 Speaker 1: full circle hope. Railroad cruise were known to do a 116 00:06:17,000 --> 00:06:20,800 Speaker 1: lot of pot hunting during construction. Bill Cody being one 117 00:06:20,880 --> 00:06:23,880 Speaker 1: famous contract hunter who supplied the railroad cruise of the 118 00:06:23,960 --> 00:06:28,279 Speaker 1: Kansas Pacific Line with bison. Bill Cody stacked up four thousand, 119 00:06:28,279 --> 00:06:31,200 Speaker 1: two hundred and eighty two bison in just eighteen months, 120 00:06:31,320 --> 00:06:35,640 Speaker 1: earning him the now famous nickname Buffalo Bill. Once the 121 00:06:35,640 --> 00:06:38,800 Speaker 1: track was laid, the train brought civilization with it, which 122 00:06:38,839 --> 00:06:42,680 Speaker 1: actually made things worse for wildlife, as market hunting supplied 123 00:06:42,680 --> 00:06:47,320 Speaker 1: boomtown restaurants and tables, which often meant the decimation of wildlife. 124 00:06:47,520 --> 00:06:50,320 Speaker 1: There are a few stories of wholesale wildlife destruction by 125 00:06:50,320 --> 00:06:53,240 Speaker 1: a train in modern times. In recent memory, the Big 126 00:06:53,279 --> 00:06:56,240 Speaker 1: Winner of two thousand eleven, combined with drifting snow and 127 00:06:56,320 --> 00:06:59,680 Speaker 1: poor antelope decision making created a situation where a train 128 00:06:59,760 --> 00:07:02,440 Speaker 1: met heard of antelope on a snow blown section of track, 129 00:07:02,680 --> 00:07:06,760 Speaker 1: ultimately killing two seventy of the snowbound animals. Moving on, 130 00:07:07,640 --> 00:07:10,760 Speaker 1: you remember the movie eight Mile, the story of Marshall Mathers, 131 00:07:11,000 --> 00:07:13,960 Speaker 1: young Eminem cuts his teeth and underground rap battles in 132 00:07:14,040 --> 00:07:17,560 Speaker 1: and around Detroit, well over in New York City places 133 00:07:17,600 --> 00:07:20,840 Speaker 1: like Brooklyn and Queens Apparently the same thing is happening 134 00:07:21,160 --> 00:07:24,160 Speaker 1: only with birds. Don't worry, I'm not gonna bore you 135 00:07:24,240 --> 00:07:27,240 Speaker 1: with something as mundane as an old fashioned cock fight. 136 00:07:27,440 --> 00:07:31,840 Speaker 1: I'm talking about underground birds singing competitions. Apparently folks will 137 00:07:31,880 --> 00:07:34,120 Speaker 1: gather in secret to place bets on the number of 138 00:07:34,160 --> 00:07:37,840 Speaker 1: songs birds can sing within a given time frame. Yes, 139 00:07:38,200 --> 00:07:41,400 Speaker 1: we are talking what the Dutch call vincoin sport, or 140 00:07:41,440 --> 00:07:44,960 Speaker 1: that we meaning them who do it, call speed singing 141 00:07:45,200 --> 00:07:48,920 Speaker 1: or finch racing. I realized that this may not sound newsworthy, 142 00:07:49,160 --> 00:07:52,440 Speaker 1: after all, betting on birds singing sounds a little tame 143 00:07:52,760 --> 00:07:56,040 Speaker 1: or played even. But as always, when wild animals and 144 00:07:56,120 --> 00:08:00,320 Speaker 1: money get involved, bad things happen. Just recently, for examp Apple, 145 00:08:00,400 --> 00:08:03,560 Speaker 1: a man was apprehended at New York's JFK Airport with 146 00:08:03,720 --> 00:08:08,280 Speaker 1: thirty four live Guyanese finches stuffed inside plastic hair rollers, 147 00:08:08,560 --> 00:08:12,400 Speaker 1: each bird supposedly valued at three thousand dollars. This is 148 00:08:12,480 --> 00:08:16,200 Speaker 1: ringing some bells. That's because JFK customs officials may refer 149 00:08:16,280 --> 00:08:19,760 Speaker 1: to this as the old hair roller trick. Back in 150 00:08:19,800 --> 00:08:22,400 Speaker 1: December of two thousand eighteen, a man was caught with 151 00:08:22,480 --> 00:08:25,840 Speaker 1: seventy live finches and hair rollers. Apparently the money is 152 00:08:25,880 --> 00:08:28,240 Speaker 1: just too good to stop trying, but not good enough 153 00:08:28,280 --> 00:08:30,560 Speaker 1: to come up with a new smuggling trick. A top 154 00:08:30,640 --> 00:08:33,400 Speaker 1: notch finch with a good pedigree can go for ten 155 00:08:33,440 --> 00:08:37,480 Speaker 1: thousand dollars. Sticking with birds and tall tales, we ran 156 00:08:37,520 --> 00:08:39,720 Speaker 1: a story here at the meat eater dot com on 157 00:08:39,760 --> 00:08:42,920 Speaker 1: the theory that ducks transport fish from pond to pond. 158 00:08:43,320 --> 00:08:46,760 Speaker 1: The ducks, as they swim, collect fish eggs on their legs. 159 00:08:47,000 --> 00:08:49,200 Speaker 1: The eggs stick to the duck, and upon landing on 160 00:08:49,240 --> 00:08:51,800 Speaker 1: a new body of water, the fish eggs are shaken 161 00:08:51,840 --> 00:08:55,280 Speaker 1: loose to proliferate. This was an old timer theory on 162 00:08:55,320 --> 00:08:59,199 Speaker 1: the seemingly sudden appearance of strange fish and farm ponds, 163 00:08:59,559 --> 00:09:03,439 Speaker 1: or new species being introduced to certain bodies of water. 164 00:09:04,640 --> 00:09:07,160 Speaker 1: There are some problems with this theory, most of which 165 00:09:07,200 --> 00:09:10,200 Speaker 1: are covered at the meat eater dot Com, and most 166 00:09:10,240 --> 00:09:13,000 Speaker 1: of which involved the fish egg being on a duck. 167 00:09:13,200 --> 00:09:16,040 Speaker 1: But what happens if that fish egg is in the 168 00:09:16,120 --> 00:09:18,880 Speaker 1: duck we still don't know. But we do know about 169 00:09:18,880 --> 00:09:22,600 Speaker 1: a fish egg in a swan. That's right, dispersal via 170 00:09:22,679 --> 00:09:26,440 Speaker 1: swan poop researchers who are apparently vexed by this same 171 00:09:26,559 --> 00:09:29,520 Speaker 1: how did fish get to this pond question? Put together 172 00:09:29,559 --> 00:09:32,920 Speaker 1: a study. They put six hundred and fifty fish eggs 173 00:09:33,000 --> 00:09:36,520 Speaker 1: mixed into corn feed and fed a group of coscar 174 00:09:36,640 --> 00:09:41,040 Speaker 1: Rabba swans. The swans produced fifty five fecal samples in 175 00:09:41,080 --> 00:09:43,280 Speaker 1: which five eggs were found to have made it through 176 00:09:43,360 --> 00:09:47,560 Speaker 1: four geese. Of these five eggs, one ultimately hatched forty 177 00:09:47,640 --> 00:09:50,680 Speaker 1: nine days later. Now, this was a carefully executed study 178 00:09:50,679 --> 00:09:53,520 Speaker 1: with fish eggs known for their resilience, but it worked. 179 00:09:53,840 --> 00:09:57,280 Speaker 1: Swans at least are capable of delivering a live fish 180 00:09:57,400 --> 00:10:01,199 Speaker 1: from one place to another. I ain't shipping you swimming 181 00:10:01,240 --> 00:10:04,680 Speaker 1: over to the law enforcement desk, Florida. Man, just kidding. 182 00:10:05,040 --> 00:10:08,319 Speaker 1: It's a woman and she was only visiting Florida. Chose 183 00:10:08,360 --> 00:10:11,520 Speaker 1: to ignore the signs, yellow tape and sticks that closed 184 00:10:11,559 --> 00:10:15,800 Speaker 1: an area of Miami Beach to people from April to November. Loggerhead, 185 00:10:15,960 --> 00:10:19,280 Speaker 1: leather back and green sea turtles nest on Miami Beach. 186 00:10:19,520 --> 00:10:22,480 Speaker 1: All of America's sea turtles are protected by the Endangered 187 00:10:22,520 --> 00:10:26,040 Speaker 1: Species Act. This gal decided, for some reason to quote 188 00:10:26,200 --> 00:10:29,520 Speaker 1: stomp around the sea turtles nests and even prod one 189 00:10:29,559 --> 00:10:32,000 Speaker 1: with a stick. What do you get for something like that, 190 00:10:32,360 --> 00:10:36,040 Speaker 1: she now faces a felony charge of molesting marine turtles 191 00:10:36,240 --> 00:10:38,360 Speaker 1: or eggs. I'm not sure if that puts around some 192 00:10:38,400 --> 00:10:41,720 Speaker 1: sort of a national registry for turtle perversion or not. 193 00:10:43,200 --> 00:10:45,600 Speaker 1: Bad joke. Here are a few facts to let you 194 00:10:45,640 --> 00:10:48,520 Speaker 1: know why this is a serious deal, and estimated one 195 00:10:48,559 --> 00:10:53,040 Speaker 1: in one thousand hatchlings will survive to reproduce. Leatherback turtles 196 00:10:53,080 --> 00:10:57,199 Speaker 1: are significantly larger than other turtle species and are pelagic 197 00:10:57,440 --> 00:11:01,280 Speaker 1: or open water turtles. Their size help some maintain temperature. 198 00:11:01,600 --> 00:11:05,800 Speaker 1: Hatchlings do not have sex chromosomes. Their gender is determined 199 00:11:05,840 --> 00:11:09,800 Speaker 1: by the temperature of the nest, known as the pivotal temperature, 200 00:11:09,880 --> 00:11:14,120 Speaker 1: which varies amongst the different species. Warmer temperatures produce females. 201 00:11:14,320 --> 00:11:17,800 Speaker 1: Colder temperatures produce males. But you didn't know that, I 202 00:11:17,920 --> 00:11:20,560 Speaker 1: shure didn't. But if you want to get all anthropomorphic 203 00:11:20,800 --> 00:11:24,360 Speaker 1: and slightly misogynistic, you could say something along the lines of, 204 00:11:24,600 --> 00:11:29,440 Speaker 1: so that's why women always complain about being cold. Forget 205 00:11:29,480 --> 00:11:33,040 Speaker 1: that one and remember this. Turtle hatchlings grow a small 206 00:11:33,160 --> 00:11:35,880 Speaker 1: temporary tooth on their beak that helps them break out 207 00:11:35,880 --> 00:11:38,760 Speaker 1: of the shell. That tooth is called a car uncle. 208 00:11:39,559 --> 00:11:42,319 Speaker 1: Next up on the law enforcement beat and staying salty, 209 00:11:42,640 --> 00:11:45,280 Speaker 1: a South Carolina man has been arrested for leaving his 210 00:11:45,400 --> 00:11:49,400 Speaker 1: marks on sharks. Doesn't sound newsworthy quite yet does. As 211 00:11:49,440 --> 00:11:52,800 Speaker 1: you know, researchers will use a variety of skin or 212 00:11:52,880 --> 00:11:57,120 Speaker 1: cartilage tags when tracking sharks. The tags will typically release 213 00:11:57,360 --> 00:12:00,319 Speaker 1: or dissolve over time, doing no harm to the shark. 214 00:12:00,720 --> 00:12:04,440 Speaker 1: This guy was using a branding iron frozen beyond freezing 215 00:12:04,800 --> 00:12:08,360 Speaker 1: or red hot via propane torch to leave a custom 216 00:12:08,480 --> 00:12:11,760 Speaker 1: brand on sharks in his area. Some of these marked 217 00:12:11,760 --> 00:12:14,640 Speaker 1: sharks were picked up by other anglers who reported their 218 00:12:14,679 --> 00:12:18,480 Speaker 1: catch to South Carolina Department of Natural Resources. The angler 219 00:12:18,600 --> 00:12:22,160 Speaker 1: with the brand was ultimately caught and charged with illegal 220 00:12:22,240 --> 00:12:25,600 Speaker 1: tagging of game fish. The charge comes with a maximum 221 00:12:25,600 --> 00:12:28,839 Speaker 1: punishment of thirty days in jail and a two fine. 222 00:12:29,200 --> 00:12:31,600 Speaker 1: No word yet, if the anglers picking up the branded 223 00:12:31,640 --> 00:12:35,880 Speaker 1: sharks will be charged with wrestling. That's a joke. That's 224 00:12:36,080 --> 00:12:39,040 Speaker 1: custom for you folks with the intimate knowledge of livestock 225 00:12:39,120 --> 00:12:43,439 Speaker 1: practices and who live in Western mandatory branding states, and 226 00:12:43,920 --> 00:12:46,520 Speaker 1: who are quick to the punch, so to speak. So 227 00:12:46,760 --> 00:12:50,199 Speaker 1: you three people can thank me later onto the last 228 00:12:50,200 --> 00:12:53,400 Speaker 1: topic from the law Enforcement Desk. September of last year, 229 00:12:53,480 --> 00:12:56,760 Speaker 1: just outside of Aspen, Colorado, a man attempted to burn 230 00:12:56,840 --> 00:13:00,280 Speaker 1: down his neighbor's ranch after a hunter had legally oild 231 00:13:00,320 --> 00:13:03,520 Speaker 1: a black bear for food on that property. The failed 232 00:13:03,679 --> 00:13:06,840 Speaker 1: arsonist had apparently enjoyed watching the bear when it was 233 00:13:06,880 --> 00:13:09,920 Speaker 1: on his own property prior to the incident, as well 234 00:13:09,960 --> 00:13:13,120 Speaker 1: as the morning of the enraged neighbor and soon to 235 00:13:13,160 --> 00:13:17,320 Speaker 1: be failed arsonist, apparently in retaliation to legal bear hunting, 236 00:13:17,480 --> 00:13:20,240 Speaker 1: berated the hunter's children and dallased part of the ranch 237 00:13:20,280 --> 00:13:23,360 Speaker 1: and gasoline. I bring this up now because of Pitkin 238 00:13:23,480 --> 00:13:27,400 Speaker 1: County District judge just sentenced the man to two years probation, 239 00:13:27,520 --> 00:13:31,640 Speaker 1: a fine, sixty hours of community service, as well as 240 00:13:31,640 --> 00:13:35,360 Speaker 1: a mandatory anger management evaluation. If anyone has seen what 241 00:13:35,440 --> 00:13:38,239 Speaker 1: a wildfire can do to a ranch, with it sometimes 242 00:13:38,280 --> 00:13:43,000 Speaker 1: complete destruction of human life livestock property, this sentence seems 243 00:13:43,040 --> 00:13:46,280 Speaker 1: a bit light. Typically from what I've seen, a light 244 00:13:46,360 --> 00:13:49,520 Speaker 1: sentence implies that the perpetrator owned up to their actions, 245 00:13:49,600 --> 00:13:53,040 Speaker 1: took full responsibility, and vowed to stay within the confines 246 00:13:53,080 --> 00:13:56,079 Speaker 1: of the law from here until eternity. The judge weighs 247 00:13:56,120 --> 00:13:58,680 Speaker 1: the conviction with which you made your statement, takes that 248 00:13:58,720 --> 00:14:01,280 Speaker 1: into consideration, and he could get a break on your 249 00:14:01,320 --> 00:14:04,440 Speaker 1: sentence ticket from me, a guy who may have gotten 250 00:14:04,440 --> 00:14:07,400 Speaker 1: a parking ticket or two, or speeding ticket, who then 251 00:14:07,600 --> 00:14:10,240 Speaker 1: disappeared into the woods for a few months, only to 252 00:14:10,320 --> 00:14:13,160 Speaker 1: return to civilization with a bench warrant for my arrest. 253 00:14:13,400 --> 00:14:17,400 Speaker 1: Ownership and honesty certainly helped me in front of those judges. Well, 254 00:14:17,840 --> 00:14:22,440 Speaker 1: listen to the enraged neighbors attorney's statement speaking on behalf 255 00:14:22,480 --> 00:14:24,680 Speaker 1: of his client, the man who just pled guilty to 256 00:14:24,800 --> 00:14:29,640 Speaker 1: misdemeanor disorderly conduct and felony attempted arson quote. Was his 257 00:14:29,720 --> 00:14:35,520 Speaker 1: conduct appropriate? Not entirely and he has conceded that. Again, 258 00:14:35,720 --> 00:14:38,760 Speaker 1: from my personal experience, if I had made a statement 259 00:14:38,840 --> 00:14:42,200 Speaker 1: to those Montana judges along the lines of Judge I've 260 00:14:42,240 --> 00:14:46,440 Speaker 1: come around to considering the concession that perhaps my actions 261 00:14:46,440 --> 00:14:49,000 Speaker 1: were somewhat wrong, my ass would still be in the 262 00:14:49,000 --> 00:14:53,480 Speaker 1: clank anyway. Was his conduct appropriate? The answer is no, 263 00:14:53,960 --> 00:14:57,400 Speaker 1: not morally, not legally. But this man's lack of ownership 264 00:14:57,440 --> 00:14:59,920 Speaker 1: of his actions and the wimpy sentence carried out by 265 00:15:00,160 --> 00:15:03,040 Speaker 1: judge isn't what really bothers me here. This part time 266 00:15:03,080 --> 00:15:07,080 Speaker 1: Miami resident and attempted arsonist is messing with ownership of animals. 267 00:15:07,160 --> 00:15:09,760 Speaker 1: Although a person cannot legally go from one piece of 268 00:15:09,800 --> 00:15:14,880 Speaker 1: property to the next without permission, our wildlife can and does. Obviously. 269 00:15:15,160 --> 00:15:18,040 Speaker 1: In the United States, wildlife is owned by the people 270 00:15:18,200 --> 00:15:20,960 Speaker 1: and managed by the state. If that bear were to 271 00:15:21,000 --> 00:15:23,760 Speaker 1: be on let's say a city or county owned piece 272 00:15:23,760 --> 00:15:26,840 Speaker 1: of ground like a cemetery that morning, a state park, 273 00:15:26,920 --> 00:15:31,240 Speaker 1: midday an individual's backyard, and onto national park or national 274 00:15:31,280 --> 00:15:35,360 Speaker 1: forest ground that evening, ownership of the animal doesn't change. We, 275 00:15:35,520 --> 00:15:38,760 Speaker 1: the citizens of the US, own the wildlife. That state 276 00:15:38,920 --> 00:15:43,000 Speaker 1: sets up the rules and regulations to properly manage that wildlife. 277 00:15:43,240 --> 00:15:45,880 Speaker 1: If you are a private landowner, you can restrict the 278 00:15:45,960 --> 00:15:49,920 Speaker 1: access of others to that wildlife while it's on your property, 279 00:15:50,040 --> 00:15:53,160 Speaker 1: but it's not yours now. If you're into owning the 280 00:15:53,200 --> 00:15:56,600 Speaker 1: wildlife on your land, you're in luck. That model exists 281 00:15:56,680 --> 00:15:59,680 Speaker 1: as well. You can jump across the pond and explore 282 00:15:59,680 --> 00:16:02,160 Speaker 1: the year pan model of game management, where the game 283 00:16:02,200 --> 00:16:05,680 Speaker 1: belongs to the estate. Access to that game typically comes 284 00:16:05,760 --> 00:16:09,240 Speaker 1: with wealth and privilege. Here in the good old US, 285 00:16:09,280 --> 00:16:12,000 Speaker 1: you can only take legal ownership of an animal through 286 00:16:12,000 --> 00:16:15,840 Speaker 1: the strictures established by your state through legal hunting, fishing, 287 00:16:16,040 --> 00:16:20,720 Speaker 1: trapping with the proper permits, tags, stamps, et cetera, purchased 288 00:16:20,720 --> 00:16:23,240 Speaker 1: at a price set by the state, with that money 289 00:16:23,240 --> 00:16:25,560 Speaker 1: paid for all the stuff going to said state in 290 00:16:25,680 --> 00:16:29,480 Speaker 1: order to support wildlife. It's a nice little system works well, 291 00:16:29,760 --> 00:16:32,640 Speaker 1: don't try to subvert it. To repeat some stats here 292 00:16:32,720 --> 00:16:35,400 Speaker 1: from the U S. Fish and Wildlife Service, the American 293 00:16:35,400 --> 00:16:38,680 Speaker 1: black bear is the most abundant bear species on the planet. 294 00:16:38,880 --> 00:16:43,040 Speaker 1: In Colorado, they're an estimated seventeen to twenty thousand black bears, 295 00:16:43,200 --> 00:16:45,880 Speaker 1: and in the period between two thousand nine and two 296 00:16:45,920 --> 00:16:49,320 Speaker 1: thousand fourteen, and average of two hundred and seventy five 297 00:16:49,440 --> 00:16:53,400 Speaker 1: bears were killed either by wildlife officials or by landowners 298 00:16:53,400 --> 00:16:57,320 Speaker 1: who had been issued depredation tags for the specific purpose 299 00:16:57,480 --> 00:17:01,520 Speaker 1: of killing a specific problem bear. Point being that having 300 00:17:01,560 --> 00:17:04,480 Speaker 1: a lot of bears means that some bears are inevitably 301 00:17:04,600 --> 00:17:07,760 Speaker 1: going to die, with far more getting killed by other 302 00:17:07,840 --> 00:17:11,440 Speaker 1: bears than people enjoy them at a population level. Don't 303 00:17:11,520 --> 00:17:16,040 Speaker 1: obsess over the individual. Appreciate their freedom to rome, appreciate 304 00:17:16,119 --> 00:17:18,800 Speaker 1: their owner list status, but don't go trying to roast 305 00:17:18,800 --> 00:17:22,240 Speaker 1: out other humans with gasoline or berrate their children over 306 00:17:22,359 --> 00:17:26,360 Speaker 1: legal activity that ultimately supports the animals at a population 307 00:17:26,400 --> 00:17:30,679 Speaker 1: wide level. Do I really have to explain this? Thanks 308 00:17:30,720 --> 00:17:33,040 Speaker 1: for listening to Cal's wee Can review. That's all I've 309 00:17:33,080 --> 00:17:36,359 Speaker 1: got for you this week. As per usual, spread the 310 00:17:36,359 --> 00:17:40,800 Speaker 1: word man. If you like this stuff, subscribe, download, listen 311 00:17:40,920 --> 00:17:45,680 Speaker 1: anywhere podcasts are streamed or downloadable. Leave me a review. 312 00:17:46,080 --> 00:17:49,399 Speaker 1: If you have any questions or concerns, right in to 313 00:17:49,640 --> 00:17:54,160 Speaker 1: ask Cal. That's a s k C A L. At 314 00:17:54,200 --> 00:17:57,280 Speaker 1: the Meat eater dot com. Tell me what I'm doing right, 315 00:17:57,320 --> 00:18:00,280 Speaker 1: Tell me what I'm doing wrong. Go to iTunes, hit 316 00:18:00,320 --> 00:18:04,439 Speaker 1: that furthest right hand star and subscribe. Thanks for listening. 317 00:18:04,560 --> 00:18:09,560 Speaker 1: Talk to you next week. M.