1 00:00:09,400 --> 00:00:13,520 Speaker 1: From Mediator's World News headquarters in Bozeman, Montana. This is 2 00:00:13,680 --> 00:00:18,040 Speaker 1: Kel's we Can review with Ryan kel Kell. Now Here's 3 00:00:18,079 --> 00:00:23,799 Speaker 1: Kel recently published in the Calgary Herald an article titled 4 00:00:24,160 --> 00:00:28,920 Speaker 1: where he Belongs The latest news regarding Calgaries deceased COVID 5 00:00:29,040 --> 00:00:48,920 Speaker 1: mascot Turk Diggler Turkey's Oh Turk Diggler, named after the 6 00:00:48,960 --> 00:00:53,880 Speaker 1: central fictional adult film character in the film Boogie Knights. 7 00:00:54,320 --> 00:00:58,200 Speaker 1: In Boogie Knights, Dirk Diggler was played by Mark Wahlberg, 8 00:00:58,600 --> 00:01:02,360 Speaker 1: which to me is just another example of Canada's ability 9 00:01:02,480 --> 00:01:05,959 Speaker 1: to remain wholesome yet edgy. I'm the guy who does 10 00:01:06,000 --> 00:01:08,920 Speaker 1: his job. You must be the other guy. As you recall, 11 00:01:09,319 --> 00:01:14,120 Speaker 1: the wandering, lonely urban Turkey started out primarily in the 12 00:01:14,200 --> 00:01:18,399 Speaker 1: Ramsey Park neighborhood. Turk is supposed escape e from the 13 00:01:18,440 --> 00:01:23,400 Speaker 1: famous Calgary Stampede fairgrounds, eventually strutted and gobbled his stuff 14 00:01:23,440 --> 00:01:26,959 Speaker 1: in department store windows, looking for a mate through several 15 00:01:27,000 --> 00:01:30,759 Speaker 1: neighborhoods throughout the spring, until a run in with possibly 16 00:01:30,959 --> 00:01:35,839 Speaker 1: Calgary's urban coyote population ended his short run. This past July. 17 00:01:36,640 --> 00:01:40,479 Speaker 1: Turk Diggler never found a mate, but despite not leaving 18 00:01:40,520 --> 00:01:45,280 Speaker 1: behind a biologically successful legacy. The Wayward Turkey has some 19 00:01:45,480 --> 00:01:49,040 Speaker 1: six thousand fans on the Ramsey Turkey Facebook page and 20 00:01:49,200 --> 00:01:52,360 Speaker 1: a line of Turk Diggler merch proceeds going to the 21 00:01:52,400 --> 00:01:56,960 Speaker 1: Alberta Children's Hospital Foundation and the Calgary Food Bank, which 22 00:01:57,200 --> 00:02:00,640 Speaker 1: makes me smile, not because of the chair oritable merch 23 00:02:00,760 --> 00:02:04,960 Speaker 1: line figureheaded by a turkey named after a fictional porn star, 24 00:02:05,080 --> 00:02:10,200 Speaker 1: but because turkeys or food and food is figureheading donations 25 00:02:10,240 --> 00:02:12,919 Speaker 1: to a food bank. I mean, you honestly didn't think 26 00:02:12,919 --> 00:02:16,880 Speaker 1: I was gonna go to the Children's hospital route right? Anyway, 27 00:02:16,960 --> 00:02:19,960 Speaker 1: The turkey still has his spot in the sun, and 28 00:02:20,120 --> 00:02:23,320 Speaker 1: turk fans are not ready to see it fade. They 29 00:02:23,320 --> 00:02:27,560 Speaker 1: are collecting signatures and soon cash to have a bronze 30 00:02:27,600 --> 00:02:32,600 Speaker 1: sculpture of the bird erected on Scotsman's Hill. Mom, why 31 00:02:32,639 --> 00:02:37,560 Speaker 1: did they name him turk Diggler? Uh? Parents, get ready 32 00:02:37,639 --> 00:02:43,000 Speaker 1: with your answers. That's what you get when he anthropomorphizes wildlife. Okay, 33 00:02:43,200 --> 00:02:46,800 Speaker 1: you have to navigate the reasons why a turkey, a 34 00:02:46,919 --> 00:02:51,079 Speaker 1: bird found almost everywhere, is a sculpture, and why that 35 00:02:51,160 --> 00:02:59,360 Speaker 1: turkey is named after a fictional porn star. Wonderful you 36 00:02:59,440 --> 00:03:03,280 Speaker 1: reap what you so, Calgary. One last tidbit I found 37 00:03:03,320 --> 00:03:07,080 Speaker 1: amusing glean from the Calgary Herald was a description of 38 00:03:07,120 --> 00:03:10,639 Speaker 1: the trials and tribulations of finding the right sculpture candidate. 39 00:03:11,040 --> 00:03:15,839 Speaker 1: They apparently searched far and wide, including interviewing potential sculptors 40 00:03:16,000 --> 00:03:20,840 Speaker 1: in Germany and China, but ultimately a sculptor was selected 41 00:03:21,000 --> 00:03:24,920 Speaker 1: just one kilometers away or forty five minutes in the 42 00:03:25,040 --> 00:03:29,080 Speaker 1: US in Cranmore, which says that the Google machine in 43 00:03:29,200 --> 00:03:32,480 Speaker 1: Canada must act a little different when you type in 44 00:03:32,880 --> 00:03:37,120 Speaker 1: sculptors near me or The Calgary Herald was just trying 45 00:03:37,160 --> 00:03:39,960 Speaker 1: to get every last drop of stock out of this 46 00:03:40,120 --> 00:03:46,360 Speaker 1: Thanksgiving bird. This week we've got the Texas Desk talking trees, emails, 47 00:03:46,400 --> 00:03:49,320 Speaker 1: and so much more. But first I'm gonna tell you 48 00:03:49,400 --> 00:03:53,800 Speaker 1: about my week and my week as well as this 49 00:03:53,920 --> 00:03:58,280 Speaker 1: podcast is, as you know, sponsored by Steel Power Equipment. 50 00:03:58,840 --> 00:04:02,600 Speaker 1: That old orange sign is hanging in just about every 51 00:04:02,600 --> 00:04:06,560 Speaker 1: small town for a reason. Steel the Clock is taking 52 00:04:06,640 --> 00:04:10,000 Speaker 1: my friends and neighbors. There are only a couple of 53 00:04:10,000 --> 00:04:12,640 Speaker 1: short weeks left in the bird hunting season, and it 54 00:04:12,760 --> 00:04:16,159 Speaker 1: is my duty and responsibility to get that dog on 55 00:04:16,279 --> 00:04:20,240 Speaker 1: real live birds. Before the season ends. Last week, as 56 00:04:20,279 --> 00:04:22,960 Speaker 1: you know, we were in South Dakota chasing the Chinese 57 00:04:23,000 --> 00:04:26,440 Speaker 1: ringneck pheasant, which is a non native species that was 58 00:04:26,560 --> 00:04:30,120 Speaker 1: introduced in the US sometime in the eighteen eighties. Well, 59 00:04:30,160 --> 00:04:33,000 Speaker 1: i should say successfully introduced in the U s sometime 60 00:04:33,080 --> 00:04:37,600 Speaker 1: the eighteen eighties. According to the Audubon Society, Notable figures 61 00:04:37,640 --> 00:04:42,120 Speaker 1: such as George Washington attempted to release pheasants well before 62 00:04:42,160 --> 00:04:53,200 Speaker 1: the eighties. Anyway, the successful stock most likely originated in 63 00:04:53,279 --> 00:04:58,279 Speaker 1: Oregon's Willamette Valley, brought there by the ambassador to Shanghai 64 00:04:58,320 --> 00:05:01,839 Speaker 1: at the time, Owen Denny. He then went on to 65 00:05:02,000 --> 00:05:06,520 Speaker 1: create a very budget minded breakfast chain. One of those 66 00:05:06,560 --> 00:05:10,240 Speaker 1: things is true listeners, and that thing has nothing to 67 00:05:10,279 --> 00:05:13,920 Speaker 1: do with a ridiculous meal called moons over Mihammy. See 68 00:05:14,000 --> 00:05:17,160 Speaker 1: you at Denny's. If you take things at face value. 69 00:05:17,279 --> 00:05:20,960 Speaker 1: From a conservation standpoint, the pheasant is a big fan 70 00:05:21,320 --> 00:05:25,320 Speaker 1: of fringe habitat. It thrives in areas where agriculture and 71 00:05:25,400 --> 00:05:29,000 Speaker 1: cover meat. What benefits a pheasant will typically benefit a 72 00:05:29,040 --> 00:05:32,920 Speaker 1: lot of other animals, And what a pheasant likes isn't 73 00:05:32,960 --> 00:05:37,599 Speaker 1: always what our native species truly prefer. Thus, Lee The 74 00:05:37,760 --> 00:05:41,040 Speaker 1: ring neck pheasant is not considered for the most part 75 00:05:41,160 --> 00:05:44,680 Speaker 1: invasive or harmful, despite the fact that they have been 76 00:05:44,720 --> 00:05:48,440 Speaker 1: documented fighting with prairie chickens and sage grouse, occasionally even 77 00:05:48,480 --> 00:05:51,400 Speaker 1: stealing a nest to us as their own. The ring 78 00:05:51,480 --> 00:05:54,760 Speaker 1: neck pheasant can fly forty miles per hour, which compared 79 00:05:54,800 --> 00:05:57,679 Speaker 1: to the mallard duck, a comparison I am making because 80 00:05:57,680 --> 00:06:00,680 Speaker 1: the mallard duck is another very popular or game bird. 81 00:06:01,040 --> 00:06:04,320 Speaker 1: Mallards will fly at twenty five miles per hour. Your 82 00:06:04,440 --> 00:06:07,240 Speaker 1: average rooster at full size, we'll get to about three 83 00:06:07,320 --> 00:06:10,239 Speaker 1: and a half pounds. That's just a fun rooster fact 84 00:06:10,279 --> 00:06:13,839 Speaker 1: for you, anyway. A listener from the UK writes in 85 00:06:13,960 --> 00:06:16,880 Speaker 1: with the effects of COVID on the shooting industry and 86 00:06:16,920 --> 00:06:21,360 Speaker 1: shooting pastimes on his side of the Atlantic. The RSPB 87 00:06:21,920 --> 00:06:25,040 Speaker 1: the Royal Society for the Protection of Birds, which was 88 00:06:25,240 --> 00:06:29,800 Speaker 1: originally a ladies society and was formed around the fact 89 00:06:29,920 --> 00:06:32,680 Speaker 1: that all the fancy ladies putting feathers in their hats 90 00:06:32,839 --> 00:06:37,920 Speaker 1: were actually decimating bird populations around the world fashion just 91 00:06:38,000 --> 00:06:41,200 Speaker 1: like beavers. For more on that topic, you can read 92 00:06:41,240 --> 00:06:43,640 Speaker 1: that book The Feather Thief that everybody's talking about it's 93 00:06:43,640 --> 00:06:48,240 Speaker 1: a good one anyway. The RSPB states that the sixty 94 00:06:48,600 --> 00:06:52,440 Speaker 1: million pheasant and red legged partridge we call red legged 95 00:06:52,440 --> 00:06:55,880 Speaker 1: partridge chucker around here that have been released into the 96 00:06:55,880 --> 00:06:59,440 Speaker 1: countryside for the purpose of shooting and eating will out 97 00:06:59,520 --> 00:07:03,720 Speaker 1: compete the native songbird populations for food. Why is this 98 00:07:03,800 --> 00:07:07,839 Speaker 1: happening now because shooters can't congregate to shoot a bunch 99 00:07:07,880 --> 00:07:11,920 Speaker 1: of birds because of COVID restrictions, which is leaving a 100 00:07:12,000 --> 00:07:14,520 Speaker 1: lot of unhappy bird dogs and a heck of a 101 00:07:14,520 --> 00:07:18,240 Speaker 1: lot of birds in the UK. So all these birds, 102 00:07:18,280 --> 00:07:22,840 Speaker 1: these sixty million birds are just wandering around competing with 103 00:07:22,920 --> 00:07:27,160 Speaker 1: the native birds by eating amount of house and home. This, 104 00:07:27,560 --> 00:07:30,600 Speaker 1: friends and neighbors is a real time happening right now 105 00:07:30,640 --> 00:07:36,120 Speaker 1: example of non native invasive species versus what's happening here 106 00:07:36,160 --> 00:07:39,760 Speaker 1: in the US with pheasant as a non native species 107 00:07:39,800 --> 00:07:45,520 Speaker 1: that we don't call invasive, invasive means harmful. Another interesting 108 00:07:45,600 --> 00:07:50,960 Speaker 1: aside is South Dakota's annual harvest of pheasants is over 109 00:07:51,000 --> 00:07:55,080 Speaker 1: a million birds on most years. South Dakota is typically 110 00:07:55,160 --> 00:07:58,680 Speaker 1: the most talked about pheasant state in the US, so 111 00:07:58,760 --> 00:08:01,960 Speaker 1: let's say it has as the most pheasants killed in 112 00:08:01,960 --> 00:08:05,040 Speaker 1: the US. But for the sake of argument, we're going 113 00:08:05,120 --> 00:08:07,400 Speaker 1: to say that every other state in the Union is 114 00:08:07,480 --> 00:08:13,680 Speaker 1: also killing one million birds a year. The United Kingdom, Britain, Scotland, 115 00:08:13,720 --> 00:08:19,080 Speaker 1: Northern Ireland would be killing ten million more pheasants than 116 00:08:19,240 --> 00:08:23,440 Speaker 1: the United States in that case, and doing it on 117 00:08:23,440 --> 00:08:27,080 Speaker 1: only one quarter of the land mass. Now I took 118 00:08:27,120 --> 00:08:30,360 Speaker 1: a few liberties with the math there, but it's close 119 00:08:30,480 --> 00:08:34,760 Speaker 1: enough for this theoretical situation. The fact is South Dakota 120 00:08:34,880 --> 00:08:38,920 Speaker 1: kills the most birds. The numbers drop off dramatically from there. 121 00:08:38,960 --> 00:08:41,480 Speaker 1: In fact, most states that have them may only report 122 00:08:41,520 --> 00:08:45,640 Speaker 1: a few thousand pheasants, which means to me that folks 123 00:08:45,640 --> 00:08:50,760 Speaker 1: in the UK are wild game bird eaten sons of guns. 124 00:08:51,600 --> 00:08:55,880 Speaker 1: In fact, I was just shown a picture of a 125 00:08:56,360 --> 00:09:01,640 Speaker 1: beautifully wrapped like shrink wrapped grouse that says beware of shot. 126 00:09:02,200 --> 00:09:06,760 Speaker 1: Because remember, in the UK you can sell game. It's 127 00:09:06,800 --> 00:09:09,719 Speaker 1: almost like it's a different country. I could have had 128 00:09:09,720 --> 00:09:11,800 Speaker 1: it a way, which is I can judy my old China. 129 00:09:11,920 --> 00:09:13,880 Speaker 1: Are you telling pulp pies in the bag of tripe? 130 00:09:13,880 --> 00:09:15,720 Speaker 1: Because if you of feeling quickly, why not just have 131 00:09:15,800 --> 00:09:19,480 Speaker 1: a jay author Moving on, quick update on the Snort 132 00:09:19,559 --> 00:09:24,600 Speaker 1: report eyeball chief. The little girl had a ring of 133 00:09:24,640 --> 00:09:28,960 Speaker 1: scabs that did look slightly infected around her eyes, caused 134 00:09:28,960 --> 00:09:33,280 Speaker 1: by repeated abrasion from grass, sorghum and corn tassels. I 135 00:09:33,440 --> 00:09:37,760 Speaker 1: gooped up Rise with antibiotic ointment, which must have felt 136 00:09:37,840 --> 00:09:41,520 Speaker 1: great because I am not lying to you. After the 137 00:09:41,600 --> 00:09:45,360 Speaker 1: first dose, which was a wrestling match to administer, I 138 00:09:45,400 --> 00:09:48,480 Speaker 1: would then show her the bottle and she would line 139 00:09:48,559 --> 00:09:53,440 Speaker 1: up for treatment. Instant relief. We all like it, anyway. 140 00:09:53,679 --> 00:09:56,959 Speaker 1: Thank you to the listeners who wrote in, including this 141 00:09:57,080 --> 00:10:02,360 Speaker 1: gem from Paul Kinderman quote, Hey, I use a mix 142 00:10:02,440 --> 00:10:06,640 Speaker 1: of bees wax and coconut oil on those areas nose 143 00:10:07,080 --> 00:10:11,160 Speaker 1: paws and in the cold balls. I hope you mean 144 00:10:11,240 --> 00:10:16,440 Speaker 1: the dog Paul. Moving on to the ever popular, yet 145 00:10:16,480 --> 00:10:22,520 Speaker 1: seldom visited Texas desk, possible mountain lion attack in Hood County, 146 00:10:22,559 --> 00:10:26,079 Speaker 1: Texas leaves one dead. Officers were called to the scene 147 00:10:26,080 --> 00:10:29,800 Speaker 1: of a missing person's report in Lapan, Texas, on December five. 148 00:10:30,640 --> 00:10:34,880 Speaker 1: If Lapan, Texas is familiar to you, it probably isn't 149 00:10:34,960 --> 00:10:38,360 Speaker 1: for the only stat listed on the town's Wikipedia page, 150 00:10:38,720 --> 00:10:44,079 Speaker 1: which is that a governor from Oklahoma once died there. Anyway, 151 00:10:44,160 --> 00:10:48,720 Speaker 1: the current victim, not the governor from Oklahoma, had apparently 152 00:10:48,760 --> 00:10:52,320 Speaker 1: been missing since the morning of December. SECO officers found 153 00:10:52,320 --> 00:10:53,920 Speaker 1: the body of the twenty eight year old man in 154 00:10:53,960 --> 00:10:57,120 Speaker 1: a wooded area. His wounds were that of an animal attack. 155 00:10:57,559 --> 00:11:00,800 Speaker 1: Although there have been less than thirty confirmed lion related 156 00:11:00,880 --> 00:11:03,640 Speaker 1: deaths in the US in the last one hundred years, 157 00:11:03,679 --> 00:11:07,839 Speaker 1: a mountain lion is the suspect and will more than 158 00:11:07,920 --> 00:11:12,040 Speaker 1: likely knock that old dead Oklahoma governor down a notch 159 00:11:12,160 --> 00:11:16,000 Speaker 1: on the Lipan Wikipedia page. The Hood County Sheriff's Office, 160 00:11:16,160 --> 00:11:19,160 Speaker 1: Texas Game Wardens, and the Governmental Trapper are working on 161 00:11:19,280 --> 00:11:22,200 Speaker 1: locating the mountain lion. The public in the Lipan area 162 00:11:22,240 --> 00:11:25,240 Speaker 1: are urged to be mindful of their surroundings and keep 163 00:11:25,320 --> 00:11:30,240 Speaker 1: young children and animals inside at night. Now, anywhere mountain 164 00:11:30,280 --> 00:11:33,840 Speaker 1: lions are present, a corner may have a relatively simple 165 00:11:33,960 --> 00:11:39,040 Speaker 1: job of identifying cat claw wounds, but this is Texas. 166 00:11:39,080 --> 00:11:42,720 Speaker 1: Just in native species, the corner had to rule out 167 00:11:43,080 --> 00:11:48,720 Speaker 1: bobcat awesol lot, jaggerundi, and jaguar On the non native side. 168 00:11:48,920 --> 00:11:51,760 Speaker 1: As my friend Joe Rogan often likes to state, there 169 00:11:51,760 --> 00:11:54,720 Speaker 1: are more tigers in Texas than the rest of the world, 170 00:11:54,840 --> 00:11:59,480 Speaker 1: where tigers are wild and native. Current world population estimates 171 00:11:59,520 --> 00:12:03,679 Speaker 1: for tiger are only about four thousand, whereas in the 172 00:12:03,720 --> 00:12:07,920 Speaker 1: whole of the US there may be five thousand in captivity, 173 00:12:07,920 --> 00:12:11,240 Speaker 1: which is a lot, even for a state as big 174 00:12:11,240 --> 00:12:19,320 Speaker 1: as Texas. If you thought that last one was a 175 00:12:19,360 --> 00:12:23,200 Speaker 1: crappy story, Texas Parks and Wildlife recently responded to an 176 00:12:23,200 --> 00:12:27,360 Speaker 1: anonymous tip reporting that a bunch of croppy carcasses had 177 00:12:27,360 --> 00:12:29,640 Speaker 1: been dumped in Lake of the Pines, which is a 178 00:12:29,679 --> 00:12:35,160 Speaker 1: giant impoundment of Big Cypress Bayou, located west of Shreveport, Louisiana, 179 00:12:35,360 --> 00:12:37,880 Speaker 1: and east of Dallas, about a hundred and fifty miles. 180 00:12:38,600 --> 00:12:42,960 Speaker 1: Officers responded and eventually hooked two anglers who had in 181 00:12:43,000 --> 00:12:47,320 Speaker 1: their possession three hundred and fifty croppy filets. The legal 182 00:12:47,360 --> 00:12:50,320 Speaker 1: possession limit for croppy in this part of Texas is 183 00:12:50,480 --> 00:12:54,400 Speaker 1: fifty per person, which put these two about a hundred 184 00:12:54,440 --> 00:12:58,120 Speaker 1: and seventy three croppy over the legal possession limit, which 185 00:12:58,160 --> 00:13:01,200 Speaker 1: is a croppy way to behave if you want to 186 00:13:01,200 --> 00:13:08,120 Speaker 1: call yourself an angler. WHOA Now, aside from that bad joke, 187 00:13:08,360 --> 00:13:11,880 Speaker 1: there's some discussion as to what bag limit and possession 188 00:13:11,920 --> 00:13:16,280 Speaker 1: limit mean, So let's break that down using the Texas 189 00:13:16,320 --> 00:13:20,760 Speaker 1: Parks and Wildlife website. Daily bag limit quantity of a 190 00:13:20,880 --> 00:13:24,640 Speaker 1: species of wildlife resource, such as fish, that may be 191 00:13:24,800 --> 00:13:27,880 Speaker 1: taken in one day. A day is a twenty four 192 00:13:27,880 --> 00:13:31,040 Speaker 1: hour period of time beginning at midnight and ends at midnight. 193 00:13:31,720 --> 00:13:35,559 Speaker 1: Possession limit the maximum number of fish a person may 194 00:13:35,600 --> 00:13:40,040 Speaker 1: possess before returning to their residence. Possession limit is twice 195 00:13:40,080 --> 00:13:43,280 Speaker 1: the daily bag limit on game and non game fish, 196 00:13:43,559 --> 00:13:46,400 Speaker 1: except as provided in the guide, and does not apply 197 00:13:46,480 --> 00:13:49,400 Speaker 1: to fish in the possession of or stored by a 198 00:13:49,440 --> 00:13:53,880 Speaker 1: person at their residence. A residence is a permanent structure 199 00:13:53,880 --> 00:13:58,240 Speaker 1: where a person regularly sleeps and keeps personal belongings such 200 00:13:58,240 --> 00:14:02,239 Speaker 1: as furniture and clothes, but does not include a temporary 201 00:14:02,240 --> 00:14:05,000 Speaker 1: abode or dwellings such as a hunting or fishing club, 202 00:14:05,360 --> 00:14:09,280 Speaker 1: or any clubhouse, cabin, tent, or trailer house or mobile 203 00:14:09,320 --> 00:14:13,520 Speaker 1: home used as a hunting or fishing camp, or any hotel, 204 00:14:13,640 --> 00:14:18,280 Speaker 1: motel or rooming house used on a temporary basis, implying 205 00:14:18,600 --> 00:14:21,680 Speaker 1: that if you are in transit, the possession limit applies 206 00:14:21,880 --> 00:14:26,600 Speaker 1: until you get to your primary residence. Now you always 207 00:14:26,880 --> 00:14:30,640 Speaker 1: have to review the regulations for changes in your home state. 208 00:14:30,960 --> 00:14:34,480 Speaker 1: And get familiar with the REGs of any new states 209 00:14:34,480 --> 00:14:38,320 Speaker 1: and waters you fish. For instance, if you followed the 210 00:14:38,400 --> 00:14:42,000 Speaker 1: definition of possession in the state of Texas while fishing 211 00:14:42,000 --> 00:14:44,280 Speaker 1: in the state of Montana, you would be on the 212 00:14:44,320 --> 00:14:48,240 Speaker 1: wrong side of the law. Be it canned, smoked, salted, 213 00:14:48,360 --> 00:14:51,880 Speaker 1: frozen at home or in your truck, those fish are 214 00:14:51,960 --> 00:14:55,640 Speaker 1: part of your possession limit, which to me makes a 215 00:14:55,680 --> 00:14:58,400 Speaker 1: lot of sense. In fact, I would go as far 216 00:14:58,440 --> 00:15:00,880 Speaker 1: as to say the state at Texas does not have 217 00:15:01,040 --> 00:15:03,640 Speaker 1: the health of its fisheries in mind with the way 218 00:15:03,720 --> 00:15:08,200 Speaker 1: their possession limit rule is written, and be honest. With 219 00:15:08,280 --> 00:15:13,040 Speaker 1: the exception of maybe some super high water content fish 220 00:15:13,120 --> 00:15:17,440 Speaker 1: like halibit that holds seemingly forever in a freezer, do 221 00:15:17,480 --> 00:15:20,320 Speaker 1: you want to stockpile a bunch of freshwater fish in 222 00:15:20,320 --> 00:15:25,640 Speaker 1: the freezer? No, they're better fresh. Eat your fish, then 223 00:15:25,680 --> 00:15:29,120 Speaker 1: go back to fishing. Don't be a horder. If these 224 00:15:29,240 --> 00:15:33,040 Speaker 1: daily and possession limits seem arbitrary to you, think of 225 00:15:33,080 --> 00:15:35,800 Speaker 1: it like this. If you have hunted or fished for 226 00:15:35,880 --> 00:15:39,560 Speaker 1: a number of seasons, you know that sometimes when it rains, 227 00:15:39,760 --> 00:15:43,560 Speaker 1: it pours, which is the reason for a daily bag limit. 228 00:15:44,120 --> 00:15:46,800 Speaker 1: This is what you can kill and keep any day 229 00:15:46,840 --> 00:15:50,440 Speaker 1: of the season. Some days you will get nothing, But 230 00:15:50,600 --> 00:15:54,440 Speaker 1: some days you will call in a lot of turkeys 231 00:15:54,880 --> 00:15:59,520 Speaker 1: or bowl elk or moose, or hit that croppy depth 232 00:15:59,640 --> 00:16:04,200 Speaker 1: and water tamp combination perfectly. You won't be able to 233 00:16:04,280 --> 00:16:07,880 Speaker 1: keep them off your hook. On these magical days, you 234 00:16:08,000 --> 00:16:11,280 Speaker 1: won't want to stop, but if you give a rip 235 00:16:11,320 --> 00:16:15,280 Speaker 1: about the resource, you will. Yes, you called in a 236 00:16:15,400 --> 00:16:18,080 Speaker 1: group of Tom's early in the season, and you could 237 00:16:18,120 --> 00:16:22,160 Speaker 1: have shot all three, which let's say as your seasonal allowance, 238 00:16:22,760 --> 00:16:26,920 Speaker 1: but you are only allowed one per day. Yes, you 239 00:16:26,960 --> 00:16:29,680 Speaker 1: will be out in the woods again tomorrow, probably in 240 00:16:29,720 --> 00:16:33,200 Speaker 1: the exact same spot. So what's the difference between shooting 241 00:16:33,320 --> 00:16:37,840 Speaker 1: two right now? Well, because we all know that tomorrow 242 00:16:37,880 --> 00:16:40,680 Speaker 1: brings a whole new set of anomalies and dynamics to 243 00:16:40,760 --> 00:16:43,760 Speaker 1: that same turkey spot. You may never call in a 244 00:16:43,800 --> 00:16:47,200 Speaker 1: bird that is hunting. That is why the rules are 245 00:16:47,200 --> 00:16:50,440 Speaker 1: written the way they are. A tag does not represent 246 00:16:50,520 --> 00:16:54,360 Speaker 1: an animal, It represents the opportunity to take an animal. 247 00:16:55,320 --> 00:17:00,520 Speaker 1: Moving on, this show is reaching you right now through 248 00:17:00,560 --> 00:17:05,760 Speaker 1: a huge and extremely complex network of interrelated structures. The 249 00:17:05,920 --> 00:17:09,920 Speaker 1: vibrations of my voice moving the diaphragm of this microphone, 250 00:17:10,400 --> 00:17:15,359 Speaker 1: Those movements turning into electrical impulses that transmit into my computer, 251 00:17:15,720 --> 00:17:19,560 Speaker 1: the resulting sound being uploaded to a server through fiber 252 00:17:19,600 --> 00:17:23,719 Speaker 1: optic cable, then all of you downloading that file and 253 00:17:23,760 --> 00:17:26,800 Speaker 1: hearing my humble attempts to make sense of the natural 254 00:17:26,880 --> 00:17:29,480 Speaker 1: world and all of us in it. And so much 255 00:17:29,480 --> 00:17:31,840 Speaker 1: of what we talked about on the Weekend Review has 256 00:17:31,920 --> 00:17:35,480 Speaker 1: to do with other kinds of networks, the connections over 257 00:17:35,520 --> 00:17:39,320 Speaker 1: time and space between plants and pollinators, predators and prey, 258 00:17:39,760 --> 00:17:43,760 Speaker 1: humans on tinder plants, and the old string and can. 259 00:17:44,720 --> 00:17:48,400 Speaker 1: One particular kind of network getting more attention recently after 260 00:17:48,560 --> 00:17:52,399 Speaker 1: years of study is the web of underground fungus that 261 00:17:52,520 --> 00:17:56,200 Speaker 1: spreads throughout the forest and is known as my coritza. 262 00:17:57,040 --> 00:18:00,159 Speaker 1: Often we'll look in an oak tree and think that 263 00:18:00,280 --> 00:18:04,040 Speaker 1: particular tree is its own thing. It's separate from the 264 00:18:04,040 --> 00:18:07,640 Speaker 1: birch tree and the dug fur. That oak is just 265 00:18:07,800 --> 00:18:11,399 Speaker 1: trying to get enough sunlight and water and nutrients, and 266 00:18:11,440 --> 00:18:14,880 Speaker 1: it wants to drop its acorns somewhere. They'll take root 267 00:18:15,119 --> 00:18:19,440 Speaker 1: and grow into more oak trees. That's it. But over 268 00:18:19,440 --> 00:18:23,640 Speaker 1: the past thirty years, the biologists Susan Simard and others 269 00:18:23,760 --> 00:18:27,240 Speaker 1: have been documenting how that oak might not be so separate. 270 00:18:27,880 --> 00:18:32,560 Speaker 1: Those strands of microrisa connect that oak to basically every 271 00:18:32,560 --> 00:18:35,520 Speaker 1: other part of the forest. The fungi thread around the 272 00:18:35,600 --> 00:18:39,960 Speaker 1: roots of the different trees and can transfer carbon, water, hormones, 273 00:18:40,080 --> 00:18:44,159 Speaker 1: and minerals between the trees. The resulting connection allows those 274 00:18:44,160 --> 00:18:48,439 Speaker 1: trees to do amazing things. Through this system, older trees 275 00:18:48,440 --> 00:18:52,440 Speaker 1: have been shown to shift resources to younger trees When 276 00:18:52,480 --> 00:18:55,760 Speaker 1: one part of the forest is threatened by pests or fire, 277 00:18:55,760 --> 00:18:59,360 Speaker 1: other trees in the network can prepare in advance. When 278 00:18:59,400 --> 00:19:02,720 Speaker 1: certain order trees are shaded by taller trees in the summer, 279 00:19:03,000 --> 00:19:06,679 Speaker 1: the network can shift more carbon to those shaded trees 280 00:19:06,840 --> 00:19:10,399 Speaker 1: to allow them to keep growing. When a coniferous tree 281 00:19:10,560 --> 00:19:13,359 Speaker 1: that keeps its needles continues to grow through the winter, 282 00:19:13,720 --> 00:19:17,640 Speaker 1: it can transfer carbon too deciduous trees that lost their 283 00:19:17,720 --> 00:19:21,240 Speaker 1: leaves in the fall. All of this and way more 284 00:19:21,359 --> 00:19:25,320 Speaker 1: happens through the strands of fungus running through the soil. 285 00:19:25,920 --> 00:19:29,200 Speaker 1: When a tree is separated from the network, it doesn't 286 00:19:29,240 --> 00:19:32,520 Speaker 1: grow as well, even if it gets optimal sunlight, water, 287 00:19:32,680 --> 00:19:35,919 Speaker 1: and soil nutrients. Dr Simard was able to show that 288 00:19:35,960 --> 00:19:38,760 Speaker 1: when the new Douglas fir trees were planted in a 289 00:19:38,840 --> 00:19:42,280 Speaker 1: part of the forest where other vegetation had been cleared away. 290 00:19:42,760 --> 00:19:47,040 Speaker 1: Ten of those trees were likelier to die than when 291 00:19:47,040 --> 00:19:51,119 Speaker 1: they were connected through mikereitsa to other different species of trees. 292 00:19:51,760 --> 00:19:55,359 Speaker 1: It seems that in this case, it's less every tree 293 00:19:55,400 --> 00:19:59,200 Speaker 1: for himself and more all for one and one for all. 294 00:20:00,040 --> 00:20:03,280 Speaker 1: Those networks have led scientists to wonder whether you could 295 00:20:03,280 --> 00:20:05,720 Speaker 1: see all the parts of a forest adding up to 296 00:20:05,800 --> 00:20:09,520 Speaker 1: one giant organism, with all those different parts connected the 297 00:20:09,520 --> 00:20:12,920 Speaker 1: way separate parts of your brain are connected by neural pathways. 298 00:20:13,440 --> 00:20:16,680 Speaker 1: We think of all though Leopold's are urging to quote 299 00:20:17,119 --> 00:20:20,719 Speaker 1: think like a mountain as a metaphor. But maybe in 300 00:20:20,760 --> 00:20:27,480 Speaker 1: a sense that mountain really is thinking whoa, and maybe 301 00:20:27,880 --> 00:20:31,880 Speaker 1: the same thinking works in reverse. After all, there are 302 00:20:31,920 --> 00:20:35,440 Speaker 1: more bacteria living inside of our bodies than there are 303 00:20:35,600 --> 00:20:40,199 Speaker 1: human cells, and without those bacteria, the networks inside of 304 00:20:40,359 --> 00:20:45,000 Speaker 1: us wouldn't work. So can I really say that I'm 305 00:20:45,040 --> 00:20:51,040 Speaker 1: a discreet, standalone organism or am I also a system 306 00:20:51,119 --> 00:20:56,120 Speaker 1: of networks receiving information from sources within me that are 307 00:20:56,160 --> 00:21:00,280 Speaker 1: not me? You just want things to be sim ball, 308 00:21:00,520 --> 00:21:05,600 Speaker 1: don't you? Sorry to disappoint We live on a fascinating rock. 309 00:21:06,680 --> 00:21:10,120 Speaker 1: Moving on to an update kind of at the man 310 00:21:10,200 --> 00:21:14,520 Speaker 1: made Meat desk. This week we have to go back 311 00:21:14,640 --> 00:21:17,680 Speaker 1: over to talk about man made meat made of man. 312 00:21:18,400 --> 00:21:21,960 Speaker 1: Try to keep up. Last week I talked with Brad Leone, 313 00:21:22,000 --> 00:21:24,399 Speaker 1: host of It's Alive, as well as butcher Brian Merkel, 314 00:21:24,520 --> 00:21:27,679 Speaker 1: head butcher at White gra Acres at a Duluth, Minnesota, 315 00:21:28,000 --> 00:21:31,000 Speaker 1: from which I just enjoyed a lovely pig liver pata, 316 00:21:31,440 --> 00:21:35,320 Speaker 1: about the ethical and logistical ins and outs of cultured meat. 317 00:21:35,680 --> 00:21:38,679 Speaker 1: When I say cultured meat, I don't mean meat that 318 00:21:38,840 --> 00:21:43,639 Speaker 1: is a sophisticated understanding of French Impressionist painters. That's just 319 00:21:43,720 --> 00:21:47,480 Speaker 1: the term the industry uses for living cells grown in 320 00:21:47,600 --> 00:21:51,800 Speaker 1: laboratories for humans to eat. Or if you remember grade 321 00:21:51,880 --> 00:21:54,960 Speaker 1: school when the biology teacher had you spitting a cup 322 00:21:55,000 --> 00:21:58,000 Speaker 1: to see what grew, that's the type of culture we're 323 00:21:58,040 --> 00:22:02,280 Speaker 1: talking about. The whole conversation about lab grown meat got 324 00:22:02,280 --> 00:22:06,159 Speaker 1: a whole lot THORNI er recently when a conceptual artist 325 00:22:06,320 --> 00:22:10,680 Speaker 1: successfully grew tissue that started with cells taken from human beings. 326 00:22:11,240 --> 00:22:14,000 Speaker 1: The whole sales pitch of the lab grown meat industry 327 00:22:14,320 --> 00:22:17,480 Speaker 1: is that the product is not similar to meet the 328 00:22:17,520 --> 00:22:21,520 Speaker 1: way the impossible burger might be similar to meat despite 329 00:22:21,560 --> 00:22:26,520 Speaker 1: being derived from plants, the product is in fact meat. 330 00:22:27,000 --> 00:22:32,480 Speaker 1: It has exactly the same cellular structure. It is living tissue. 331 00:22:33,359 --> 00:22:36,439 Speaker 1: So if you've taken a few cells from a person 332 00:22:36,760 --> 00:22:38,399 Speaker 1: and then you do all the things you do to 333 00:22:38,480 --> 00:22:42,159 Speaker 1: living cells to make them replicate, eventually you'll have a 334 00:22:42,200 --> 00:22:46,240 Speaker 1: whole lot of human cells. What then, The other sales 335 00:22:46,280 --> 00:22:49,720 Speaker 1: pitch of the cultured meat industry is that nothing had 336 00:22:49,760 --> 00:22:53,399 Speaker 1: to die in order to result in that burger or 337 00:22:53,440 --> 00:22:57,720 Speaker 1: those chickenish nuggets on your plate. And so if no 338 00:22:57,840 --> 00:23:01,000 Speaker 1: human being had to die in order for patty of 339 00:23:01,080 --> 00:23:05,360 Speaker 1: human cells to exist, if you ate that, let's call 340 00:23:05,440 --> 00:23:10,199 Speaker 1: it humane burger. See what I did there? Would you 341 00:23:10,280 --> 00:23:20,720 Speaker 1: be a cannibal? Check. As unpalatable as that idea might be, 342 00:23:21,320 --> 00:23:25,359 Speaker 1: it gets us into lots of interesting questions about meat 343 00:23:25,440 --> 00:23:30,280 Speaker 1: eating in general. How important ethically is the line between 344 00:23:30,400 --> 00:23:34,520 Speaker 1: human beings and the other animals on the earth. Once 345 00:23:34,560 --> 00:23:37,879 Speaker 1: you can eat the tissue of a human and animal alike, 346 00:23:38,400 --> 00:23:41,840 Speaker 1: it might not be so easy to discount the suffering 347 00:23:41,920 --> 00:23:45,000 Speaker 1: of the animals that were more used to eating or 348 00:23:45,080 --> 00:23:48,240 Speaker 1: can tell. Han, the artist who created the project, has 349 00:23:48,280 --> 00:23:52,080 Speaker 1: received death threats. If that ain't ironic, I truly don't 350 00:23:52,119 --> 00:23:55,359 Speaker 1: know what is. Some people have also gotten in touch 351 00:23:55,400 --> 00:23:57,720 Speaker 1: with tell Han to see if they could recreate his 352 00:23:57,880 --> 00:24:00,920 Speaker 1: process so that they could grow me made from their 353 00:24:00,920 --> 00:24:05,800 Speaker 1: own cells. That's called recycling. Although he started the project 354 00:24:05,880 --> 00:24:08,399 Speaker 1: to get people to think harder about an industry that 355 00:24:08,560 --> 00:24:13,320 Speaker 1: presents itself as ethically clean, most cultured meat depends heavily 356 00:24:13,560 --> 00:24:18,600 Speaker 1: on fetal bovine serum that's extracted when pregnant cows are slaughtered. 357 00:24:19,200 --> 00:24:22,160 Speaker 1: Just a quick note, lots of pregnant cows get slaughtered, 358 00:24:22,359 --> 00:24:25,120 Speaker 1: but we're not talking about like developed calves here. We're 359 00:24:25,119 --> 00:24:30,399 Speaker 1: talking about like inseminated cows. Anyway, I bet old orcan 360 00:24:30,800 --> 00:24:34,280 Speaker 1: never expected to get those particular emails. Part of me 361 00:24:34,720 --> 00:24:37,600 Speaker 1: is glad for this art project because maybe if we 362 00:24:37,680 --> 00:24:41,080 Speaker 1: have to think about the ethical implications of eating technically 363 00:24:41,160 --> 00:24:45,320 Speaker 1: human meat, we'll think more carefully about the ethical implications 364 00:24:45,359 --> 00:24:48,080 Speaker 1: of all the ways meat comes to us. And by 365 00:24:48,119 --> 00:24:51,480 Speaker 1: the way, if we can eat technically human meat, what 366 00:24:51,600 --> 00:24:58,840 Speaker 1: about technically endangered white rhino or technically polar bear or 367 00:24:58,840 --> 00:25:01,800 Speaker 1: the meat substitute we have all been waiting for. I 368 00:25:01,880 --> 00:25:06,600 Speaker 1: can't believe it's not do do or commodo dragon, I 369 00:25:06,640 --> 00:25:09,560 Speaker 1: think you get the point. One of the most valuable 370 00:25:09,600 --> 00:25:12,680 Speaker 1: aspects of hunting is the way you cannot hide from 371 00:25:12,680 --> 00:25:15,679 Speaker 1: causing death. And when you have to face that death, 372 00:25:15,960 --> 00:25:19,040 Speaker 1: that act of taking a life, you become better equipped 373 00:25:19,040 --> 00:25:22,199 Speaker 1: to make good decisions in that department. I think there 374 00:25:22,240 --> 00:25:25,159 Speaker 1: are a lot of similarities between those that raise and 375 00:25:25,240 --> 00:25:27,600 Speaker 1: eat from their garden and those that raise and eat 376 00:25:27,640 --> 00:25:29,879 Speaker 1: a pig or a calf, or a lamb or a chicken, 377 00:25:30,160 --> 00:25:32,960 Speaker 1: and those that hunt. We are aware of the process. 378 00:25:33,040 --> 00:25:35,320 Speaker 1: We have our hands in the soil and the blood 379 00:25:35,440 --> 00:25:39,760 Speaker 1: under our fingernails. With a lab grown alternative, we don't 380 00:25:40,000 --> 00:25:43,199 Speaker 1: and won't, And that, my friends, is what scares the 381 00:25:43,359 --> 00:25:47,919 Speaker 1: hell out of me. It's willfully forgetting where meat comes from. 382 00:25:48,200 --> 00:25:51,439 Speaker 1: It's signaling that we could be open to condos and 383 00:25:51,520 --> 00:25:56,440 Speaker 1: not cows land divided, not united in open space. To me, 384 00:25:57,000 --> 00:25:59,600 Speaker 1: and to be clear, we are veering way into the 385 00:25:59,600 --> 00:26:03,720 Speaker 1: opinion in department. Here we are saying it's okay to 386 00:26:03,880 --> 00:26:07,280 Speaker 1: not care. Will come up with an alternative that is 387 00:26:07,359 --> 00:26:11,880 Speaker 1: almost as good. Now, who wants a burger? And what's 388 00:26:11,920 --> 00:26:15,240 Speaker 1: your flavor? That's all I've got for you this week. 389 00:26:15,520 --> 00:26:18,960 Speaker 1: Thank you so much for listening. As per usual, please 390 00:26:19,040 --> 00:26:22,760 Speaker 1: right into a s k, C a L that's asked 391 00:26:22,840 --> 00:26:25,800 Speaker 1: cal at the Meat Eater dot com and let me 392 00:26:25,880 --> 00:26:27,920 Speaker 1: know what's going on in your neck of the woods. 393 00:26:28,200 --> 00:26:30,879 Speaker 1: And of course, if you are loving what you're hearing 394 00:26:30,920 --> 00:26:33,680 Speaker 1: on Cow's we can review, tell a friend or two. 395 00:26:34,280 --> 00:26:43,879 Speaker 1: Thanks again and I'll talk to you next week.