1 00:00:00,320 --> 00:00:16,360 Speaker 1: To one more howl. They don't laugh though the gray 2 00:00:16,400 --> 00:00:19,720 Speaker 1: wolf is in danger. In the nineteen seventies, wolves were 3 00:00:19,760 --> 00:00:22,079 Speaker 1: one of the first species to be protected under the 4 00:00:22,160 --> 00:00:26,439 Speaker 1: Endangered Species Act. Due to population decline in the years 5 00:00:26,440 --> 00:00:30,280 Speaker 1: that followed, Congress removed protections from gray wolves, first in 6 00:00:30,320 --> 00:00:34,320 Speaker 1: the Northern Rocky Mountains, then across the country. By February 7 00:00:34,360 --> 00:00:38,800 Speaker 1: of two, federal protections were restored to wolves and much 8 00:00:38,840 --> 00:00:42,440 Speaker 1: of the contiguous United States, except in the Northern Rocky 9 00:00:42,440 --> 00:00:46,720 Speaker 1: Mountain region, where more than of the killing of wolves occurs. 10 00:00:47,560 --> 00:00:50,960 Speaker 1: I've always been passionate about animals and their welfare, so 11 00:00:51,040 --> 00:00:54,400 Speaker 1: on this episode of my podcast, we're talking about how 12 00:00:54,440 --> 00:00:57,280 Speaker 1: we can help protect the gray wolf and learn more 13 00:00:57,600 --> 00:01:01,760 Speaker 1: about these wonderful creatures. Joining me today or Samantha Atwood, 14 00:01:01,800 --> 00:01:06,600 Speaker 1: co founding member of the hashtag Realist Wolves Campaign, and 15 00:01:06,640 --> 00:01:10,959 Speaker 1: Maggie Howell, executive director of the Wolf Conservation Center right 16 00:01:10,959 --> 00:01:14,520 Speaker 1: here near my home in South Salem, New York. Welcome 17 00:01:14,520 --> 00:01:18,000 Speaker 1: to my podcast, Maggie and Samantha, and it's a pleasure 18 00:01:18,040 --> 00:01:21,039 Speaker 1: to have you here to talk because wolves are on 19 00:01:21,200 --> 00:01:24,640 Speaker 1: a lot of people's minds right now. Do you know why. 20 00:01:25,080 --> 00:01:27,880 Speaker 1: I hope it's because campaign. Well, I wish it were 21 00:01:27,920 --> 00:01:31,440 Speaker 1: just your campaign, but you should be very thankful that 22 00:01:31,800 --> 00:01:36,280 Speaker 1: Kevin Costner and Yellowstone have brought wolves to the forefront 23 00:01:36,319 --> 00:01:40,000 Speaker 1: of everybody's sort of consciousness. Uh. You know, you watch that. 24 00:01:40,120 --> 00:01:44,840 Speaker 1: You watch the conflict on that show between the conservationists 25 00:01:45,400 --> 00:01:48,640 Speaker 1: who are trying to save the wolves and the wildlife 26 00:01:48,640 --> 00:01:51,720 Speaker 1: in the national parks and all the contiguous properties, and 27 00:01:51,760 --> 00:01:56,080 Speaker 1: then you see the the ranchers who want to kill 28 00:01:56,160 --> 00:01:58,600 Speaker 1: the wolves because they kill the calves and the data. 29 00:01:59,160 --> 00:02:01,960 Speaker 1: But um, but I think we are all kind of thinking. 30 00:02:02,000 --> 00:02:06,280 Speaker 1: All my friends are watching Yellowstone and thinking wolves and 31 00:02:05,880 --> 00:02:09,440 Speaker 1: um and did you put that together or not? Sort of, 32 00:02:09,840 --> 00:02:12,320 Speaker 1: so I have to say, what do you think are 33 00:02:12,440 --> 00:02:14,800 Speaker 1: do you think they're doing a disservice or a service? 34 00:02:14,840 --> 00:02:18,240 Speaker 1: So the wolf population on that show, I think any 35 00:02:18,400 --> 00:02:20,440 Speaker 1: point at which the wolves are becoming part of the 36 00:02:20,480 --> 00:02:23,160 Speaker 1: conversation is a win, right it open. That's what I think. 37 00:02:23,240 --> 00:02:25,240 Speaker 1: That's what I think, And I think that you have 38 00:02:25,320 --> 00:02:28,680 Speaker 1: a chance now and opening a big opening to get 39 00:02:28,720 --> 00:02:31,400 Speaker 1: to all those millions of people that are watching Yellowstone 40 00:02:31,480 --> 00:02:35,880 Speaker 1: season five. So it's it's kind of interesting, it really is. No, 41 00:02:36,000 --> 00:02:40,480 Speaker 1: we really appreciate the opportunity here. Well, Maggie and Samantha, Um, 42 00:02:40,639 --> 00:02:46,920 Speaker 1: tell me what is the hashtag realist Wolves campaign all about? Okay, 43 00:02:47,000 --> 00:02:51,240 Speaker 1: the Releast Wolves campaign is a campaign aimed at restoring 44 00:02:51,360 --> 00:02:54,920 Speaker 1: Endangered Species Act protections to the gray wolf across the 45 00:02:55,080 --> 00:02:57,960 Speaker 1: entire you know, forty lower forty eight states in the 46 00:02:58,040 --> 00:03:03,600 Speaker 1: United States are campaign. We founded in a June shortly 47 00:03:03,639 --> 00:03:07,200 Speaker 1: after there's this really horrible wolf hunt in Wisconsin where 48 00:03:07,200 --> 00:03:11,640 Speaker 1: two eighteen wolves were killed in under sixty hours by 49 00:03:11,680 --> 00:03:15,040 Speaker 1: any means necessary, running them down with a TVs, packs 50 00:03:15,080 --> 00:03:19,520 Speaker 1: of dogs, night hunting, baiting, snaring. What was the reason? 51 00:03:20,120 --> 00:03:24,359 Speaker 1: The reason is, well, Maggie, you want to take that one. Yeah, 52 00:03:24,400 --> 00:03:26,600 Speaker 1: but you know what did they say? Why did they 53 00:03:26,639 --> 00:03:29,320 Speaker 1: go on such a massive hunt? So because wolves have 54 00:03:29,480 --> 00:03:32,840 Speaker 1: been um protected due to illegal battles, have been going 55 00:03:32,919 --> 00:03:36,080 Speaker 1: back and forth over wolf protection, um really across the 56 00:03:36,160 --> 00:03:39,760 Speaker 1: United States. And so when it was actually from a 57 00:03:39,840 --> 00:03:43,840 Speaker 1: President Trump, he's really the exiting kind of speech almost 58 00:03:43,880 --> 00:03:47,840 Speaker 1: out of the office, was to delist wolves nationwide. So 59 00:03:48,000 --> 00:03:52,000 Speaker 1: after protections were lost, um, really, there were some people 60 00:03:52,040 --> 00:03:55,000 Speaker 1: just raring to go for a long time, um to 61 00:03:55,120 --> 00:03:56,680 Speaker 1: kill wolves. And there's a lot of it just based 62 00:03:56,720 --> 00:04:01,320 Speaker 1: on fear and hatred, um, which is really unfortunate. And 63 00:04:01,640 --> 00:04:04,880 Speaker 1: but really what we saw happen, you know, as soon 64 00:04:05,040 --> 00:04:09,520 Speaker 1: as they lost protections is just just how important protections are. 65 00:04:10,080 --> 00:04:13,520 Speaker 1: And uh and really Samanthan mentioned it was like sixty hours, 66 00:04:14,040 --> 00:04:16,960 Speaker 1: um and these are wolves, wolf pups, you know it was. 67 00:04:17,480 --> 00:04:20,520 Speaker 1: But what do you do with a population that exists 68 00:04:20,560 --> 00:04:25,920 Speaker 1: today that carry guns. Why does a regulation stop them 69 00:04:26,000 --> 00:04:29,680 Speaker 1: from killing wolves? It doesn't really does it. One of 70 00:04:29,680 --> 00:04:32,600 Speaker 1: the things we say is legal killing leads to more 71 00:04:32,640 --> 00:04:37,240 Speaker 1: illegal killing, so it emboldens everybody when these protections were lost. Look, 72 00:04:37,320 --> 00:04:42,120 Speaker 1: you can't save every single wolf. Will there be poachers? Yes, However, 73 00:04:42,800 --> 00:04:46,359 Speaker 1: regulation has a massive impact on protecting these species. And 74 00:04:46,360 --> 00:04:48,520 Speaker 1: that's the goal of the campaign, which is actually to 75 00:04:49,080 --> 00:04:51,200 Speaker 1: restore these protections wolves, and to do it in a 76 00:04:51,200 --> 00:04:53,359 Speaker 1: way that's a little bit interesting and out of the box, 77 00:04:53,400 --> 00:04:55,520 Speaker 1: where we're talking to the public, we're putting pressure on 78 00:04:55,600 --> 00:04:59,120 Speaker 1: public officials. We're going about this in a little bit 79 00:04:59,160 --> 00:05:02,320 Speaker 1: of a different way, because interestingly enough, this issue until 80 00:05:02,360 --> 00:05:05,560 Speaker 1: recently has really flown under the radar in my opinion. 81 00:05:05,640 --> 00:05:08,320 Speaker 1: You know, you love your dog, you love nature. There's 82 00:05:08,360 --> 00:05:11,239 Speaker 1: only fewer than six thousand wolves left in the lower 83 00:05:11,320 --> 00:05:14,360 Speaker 1: forty eight states. We're not talking at all, that's all. 84 00:05:14,800 --> 00:05:19,280 Speaker 1: And they're being hunted down. Montana and Idaho alone pass 85 00:05:19,440 --> 00:05:22,960 Speaker 1: legislation to incentivize the killing of between eighty five and 86 00:05:23,040 --> 00:05:28,040 Speaker 1: nine of their wolf populations. It's the cattle, I think. 87 00:05:28,080 --> 00:05:29,839 Speaker 1: Sitting where we are, it can be a little hard 88 00:05:29,880 --> 00:05:33,520 Speaker 1: to understand when you look at the data. Wolves are 89 00:05:33,520 --> 00:05:37,280 Speaker 1: responsible for less than one percent of unwanted deaths of 90 00:05:37,320 --> 00:05:40,719 Speaker 1: cattle that's unwanted, that includes disease, sickness, birds of prey, 91 00:05:40,800 --> 00:05:43,080 Speaker 1: believe it or not, wolves are responsible for one percent, 92 00:05:43,960 --> 00:05:48,760 Speaker 1: and the data really doesn't actually support um. You know 93 00:05:48,800 --> 00:05:51,440 Speaker 1: what's happening here. And frankly, it's not a zero sum game. 94 00:05:51,520 --> 00:05:55,479 Speaker 1: It's not kill wolves, protect cattle, protect you know, keep 95 00:05:55,520 --> 00:05:57,080 Speaker 1: the wolves. You know, all the cattle are going to 96 00:05:57,160 --> 00:06:00,640 Speaker 1: get eaten. There's really really good mechan isms you have, 97 00:06:00,760 --> 00:06:05,640 Speaker 1: whether it's fencing, flags, lights, uh what do they call livestock, 98 00:06:05,680 --> 00:06:08,760 Speaker 1: guardian dogs, all of these things that work and allow 99 00:06:08,839 --> 00:06:11,680 Speaker 1: you to actually coexist with these animals who are incredibly 100 00:06:11,680 --> 00:06:14,640 Speaker 1: important for our ecosystem. You know, there's a lot of 101 00:06:14,680 --> 00:06:18,600 Speaker 1: really major forces working against wolves. You know, whether it's 102 00:06:18,640 --> 00:06:21,919 Speaker 1: the cattleman kind of lobby or the n R A 103 00:06:22,880 --> 00:06:26,880 Speaker 1: UM or hunting associations UM, and there's not that many 104 00:06:27,080 --> 00:06:30,880 Speaker 1: you know groups or I guess a lobby UM really 105 00:06:30,920 --> 00:06:33,880 Speaker 1: speaking for wolves, and you know they need our voices. 106 00:06:33,920 --> 00:06:36,240 Speaker 1: So that's why the campaign has been so great, to 107 00:06:36,279 --> 00:06:40,040 Speaker 1: really elevate what's already been out there among many conservation groups, 108 00:06:40,040 --> 00:06:43,880 Speaker 1: but to bring it to really people across all different functions. 109 00:06:43,920 --> 00:06:47,760 Speaker 1: So lawyers, you have, the artists, you have you know, 110 00:06:48,040 --> 00:06:55,560 Speaker 1: just normally scary and statistic books mentioning the wonderful wolf 111 00:06:55,600 --> 00:07:01,279 Speaker 1: population and now Yellowstone and yellow just to elevate this 112 00:07:01,400 --> 00:07:04,120 Speaker 1: and and give everyone an idea of what's really happening 113 00:07:04,160 --> 00:07:07,680 Speaker 1: and hopefully um, you know, really the roadmap they need 114 00:07:07,680 --> 00:07:11,280 Speaker 1: to use their voice and create change. So you co 115 00:07:11,400 --> 00:07:15,200 Speaker 1: founded this grit this group. Well, actually my mom co 116 00:07:15,360 --> 00:07:17,680 Speaker 1: founded this and I kind of got sucked in, so 117 00:07:17,680 --> 00:07:19,720 Speaker 1: it's kind of a funny story. So you know, my 118 00:07:19,760 --> 00:07:22,800 Speaker 1: mom is a very passion environmentalist. I I am too, 119 00:07:23,240 --> 00:07:25,320 Speaker 1: and you know she saw what happened after these hunts 120 00:07:25,320 --> 00:07:28,360 Speaker 1: and saw what was going on. Mom is Leslie Atwood, 121 00:07:28,360 --> 00:07:31,000 Speaker 1: who is a neighbor of mine here in Bedford, New York, 122 00:07:31,680 --> 00:07:34,559 Speaker 1: and uh. And she is a passionate woman in many, many, 123 00:07:34,600 --> 00:07:37,920 Speaker 1: many different fields. Absolutely, and you she saw what was 124 00:07:38,000 --> 00:07:39,600 Speaker 1: going on, it was like, wow, you know, we need 125 00:07:39,600 --> 00:07:41,560 Speaker 1: to kind of taken out of the box approach. Can 126 00:07:41,600 --> 00:07:43,840 Speaker 1: we all speak in one voice? All these little NGOs, 127 00:07:43,880 --> 00:07:46,040 Speaker 1: all these groups that are doing such great work on 128 00:07:46,080 --> 00:07:49,200 Speaker 1: the ground. We're stronger together. You know, we are going 129 00:07:49,240 --> 00:07:51,880 Speaker 1: to you know, at the risk of stealing someone's phrase 130 00:07:52,360 --> 00:07:54,640 Speaker 1: over there, you know we are we are able to 131 00:07:54,680 --> 00:07:57,400 Speaker 1: speak in one voice and it is much more impactful. 132 00:07:57,480 --> 00:07:59,680 Speaker 1: So I kind of got sucked in because I was 133 00:07:59,720 --> 00:08:02,840 Speaker 1: going to, you know, help get our our campaign firm, 134 00:08:02,960 --> 00:08:06,480 Speaker 1: test strategy set up, get a social media expert who 135 00:08:06,480 --> 00:08:08,760 Speaker 1: you would love, by the way, Brandon Kennedy. He comes 136 00:08:08,760 --> 00:08:11,160 Speaker 1: from a fashion background to actually look at things a 137 00:08:11,160 --> 00:08:12,800 Speaker 1: little bit differently. So I was gonna help the team 138 00:08:12,840 --> 00:08:15,000 Speaker 1: set up. And as I learned more and more about 139 00:08:15,040 --> 00:08:17,800 Speaker 1: this issue and how important wolves are, I just couldn't. 140 00:08:17,840 --> 00:08:19,920 Speaker 1: I couldn't step away so out of outside of my 141 00:08:20,000 --> 00:08:22,800 Speaker 1: day job, this is this is what we do. What 142 00:08:22,880 --> 00:08:26,119 Speaker 1: about you, Maggie, how did you get involved with this campaign? Well, 143 00:08:26,680 --> 00:08:31,680 Speaker 1: we're practically neighbors with with Jim and Leslie Um and Samantha. So, um, 144 00:08:31,720 --> 00:08:33,280 Speaker 1: we've known them for quite a bit. In fact, we 145 00:08:33,320 --> 00:08:39,559 Speaker 1: had a wolf celebrate his fifteenth birthday um at the restaurant. Gosh, 146 00:08:40,000 --> 00:08:44,520 Speaker 1: some handful of years ago. Um, but it was quite 147 00:08:44,559 --> 00:08:48,320 Speaker 1: a turnout, but people showing up to celebrate with a 148 00:08:48,400 --> 00:08:51,680 Speaker 1: big meaty steak and people still talk about it. Yeah, yeah, 149 00:08:51,800 --> 00:08:53,880 Speaker 1: still talk about that. So this is one of the 150 00:08:53,920 --> 00:08:56,839 Speaker 1: wolves from the contribution. Yes, his name was after he 151 00:08:56,960 --> 00:09:00,000 Speaker 1: since passed away. He passed away, um a few years ago, 152 00:09:00,000 --> 00:09:02,920 Speaker 1: but um, but boy it was and he was famous. 153 00:09:03,360 --> 00:09:07,040 Speaker 1: He was a beautiful Yeah. I got to talk to 154 00:09:07,120 --> 00:09:10,480 Speaker 1: him a couple of times. Did But really I just 155 00:09:10,520 --> 00:09:15,360 Speaker 1: appreciated new new strength and new kind of um energy 156 00:09:15,480 --> 00:09:18,960 Speaker 1: coming into the fight for wolves. So I thought, you know, 157 00:09:19,000 --> 00:09:21,480 Speaker 1: the more the merrier, and you know, the strength of 158 00:09:21,520 --> 00:09:24,240 Speaker 1: the wolf is the pack. And to have the Realist 159 00:09:24,320 --> 00:09:28,319 Speaker 1: Campaign kind of joined this effort, I just thought it 160 00:09:28,360 --> 00:09:30,240 Speaker 1: was great and so I want to do anything I 161 00:09:30,240 --> 00:09:33,560 Speaker 1: could do to help and and it's been really fun collaboration. Well, 162 00:09:33,600 --> 00:09:38,800 Speaker 1: there are many threatened endangered species of animals. Why are 163 00:09:38,800 --> 00:09:41,840 Speaker 1: wolves so important? Do you know what a keystone is? 164 00:09:42,080 --> 00:09:44,840 Speaker 1: So keystone species plays the exact same role in the 165 00:09:44,880 --> 00:09:48,480 Speaker 1: ecosystem where they basically punch above their weight in terms 166 00:09:48,559 --> 00:09:51,840 Speaker 1: of the effects they have on the entire environment. And 167 00:09:51,920 --> 00:09:54,640 Speaker 1: wolves are exactly like that. If you look at the 168 00:09:54,679 --> 00:09:58,319 Speaker 1: reintroduction to Yellowstone that happened in the nineties, UM, what 169 00:09:58,360 --> 00:10:01,360 Speaker 1: you saw coming out of that was wolves actually are 170 00:10:01,520 --> 00:10:05,360 Speaker 1: creating this environment where you know they're they're eating elk, yes, 171 00:10:05,480 --> 00:10:08,640 Speaker 1: but they're actually making the elk herds move along more quickly, 172 00:10:08,960 --> 00:10:12,600 Speaker 1: which meant the elk stopped to browsing. Vegetation, allowed the 173 00:10:12,640 --> 00:10:17,160 Speaker 1: beavers to come back, allowed um erosion to stop alongside 174 00:10:17,200 --> 00:10:19,960 Speaker 1: the streams, and really you know, allowed these fish to 175 00:10:20,000 --> 00:10:21,960 Speaker 1: come back. So like all of these as you call 176 00:10:22,000 --> 00:10:25,640 Speaker 1: like a trophic cascade effect happened within the ecosystem that 177 00:10:25,760 --> 00:10:28,480 Speaker 1: was really due to these wolves coming back. Wolves are 178 00:10:28,520 --> 00:10:31,440 Speaker 1: critical for healthy ecosystem. Like I like that analogy to 179 00:10:31,480 --> 00:10:34,040 Speaker 1: the keystone of a building I have. I have keystones 180 00:10:34,160 --> 00:10:38,920 Speaker 1: in my arches of the nail on the No, you 181 00:10:38,960 --> 00:10:42,880 Speaker 1: don't want to lose the keystone because everything comes tumbling down. Exactly. 182 00:10:52,440 --> 00:10:55,720 Speaker 1: So the ecosystem that exists in the wild in the 183 00:10:55,800 --> 00:10:59,920 Speaker 1: United States UM is fragile, becoming more and more fragile 184 00:11:00,000 --> 00:11:03,480 Speaker 1: with the expansion of the gas lines with the whether 185 00:11:03,679 --> 00:11:06,960 Speaker 1: the horrible climate crisis that we're experiencing right now and 186 00:11:07,000 --> 00:11:13,000 Speaker 1: probably forever henceforth, don't you think? And so disbelievers, people 187 00:11:13,040 --> 00:11:15,880 Speaker 1: who don't see a climate crisis or don't see the 188 00:11:16,120 --> 00:11:19,680 Speaker 1: what's happening to the wildlife in the United States? How 189 00:11:19,679 --> 00:11:22,760 Speaker 1: can how can we How how powerful can this group 190 00:11:22,840 --> 00:11:26,080 Speaker 1: be to to make people pay attention? What can you 191 00:11:26,120 --> 00:11:30,080 Speaker 1: do and how can we help? As individuals? That's a 192 00:11:30,080 --> 00:11:33,000 Speaker 1: great question, I would say as individuals, you know, the 193 00:11:33,040 --> 00:11:35,920 Speaker 1: first step is awareness and education, right and then going 194 00:11:36,000 --> 00:11:38,920 Speaker 1: to take action. Realists Wolves dot org. You can send 195 00:11:39,000 --> 00:11:42,640 Speaker 1: letters to your representatives, you can share on social media 196 00:11:42,720 --> 00:11:47,200 Speaker 1: from at Realist Wolves campaign, and frankly opportunities UM with 197 00:11:47,200 --> 00:11:50,120 Speaker 1: with folks like yourself, Martha, who are You're You're a 198 00:11:50,200 --> 00:11:52,560 Speaker 1: keystone in your own way, right you punch above your 199 00:11:52,559 --> 00:11:54,600 Speaker 1: weight in terms of all the people that you reach 200 00:11:55,040 --> 00:11:58,800 Speaker 1: using your voice as an incredible opportunity to UM, you know, 201 00:11:58,880 --> 00:12:01,280 Speaker 1: shed light on this issue and let folks know like 202 00:12:01,640 --> 00:12:04,320 Speaker 1: there is there is a path here. The path here 203 00:12:04,440 --> 00:12:07,880 Speaker 1: is to get wolves relisted. That decision lies with the 204 00:12:07,920 --> 00:12:10,960 Speaker 1: buying in administration and they are currently conducting what's called 205 00:12:10,960 --> 00:12:14,880 Speaker 1: a status review. So it started in September of one. 206 00:12:14,920 --> 00:12:17,240 Speaker 1: They said they're gonna take one year because of all 207 00:12:17,280 --> 00:12:19,720 Speaker 1: the hunting. They were going to make an assessment in 208 00:12:19,720 --> 00:12:24,840 Speaker 1: the US Fish and Wildlife Service December. It is they're late, 209 00:12:25,200 --> 00:12:27,640 Speaker 1: We're waiting. They're late, and they have to know that 210 00:12:27,679 --> 00:12:31,000 Speaker 1: we're paying attention. So every call you make, every letter 211 00:12:31,080 --> 00:12:33,640 Speaker 1: you send, shows them that we're paying attention and that 212 00:12:33,720 --> 00:12:36,559 Speaker 1: this is an issue that you know, I think the public, 213 00:12:36,720 --> 00:12:39,120 Speaker 1: you know, really should care about. You know, six thousand 214 00:12:39,120 --> 00:12:41,200 Speaker 1: wolves may not seem like such a big deal in 215 00:12:41,240 --> 00:12:44,560 Speaker 1: the grand scheme of things, but every little bit helps everything. 216 00:12:44,760 --> 00:12:51,800 Speaker 1: I'm shocked and in the lower forty eight. Yes, are 217 00:12:51,840 --> 00:12:55,000 Speaker 1: they protected in Canada? Canada is facing many of the 218 00:12:55,040 --> 00:12:58,640 Speaker 1: similar issues. Yeah, there's a the Gonquin wolf is some 219 00:12:58,720 --> 00:13:03,000 Speaker 1: protections just Alon, Yes, just north of Aspen the Eastern 220 00:13:03,000 --> 00:13:06,520 Speaker 1: are Algonquin wolf. But generally they're it's pretty much open 221 00:13:06,520 --> 00:13:10,520 Speaker 1: season on wolves. I consider them gorgeous creatures. I love 222 00:13:10,559 --> 00:13:14,160 Speaker 1: dogs that look like wolves, and I think about wolves 223 00:13:14,200 --> 00:13:16,559 Speaker 1: and I think about how badly they've been treated by 224 00:13:16,640 --> 00:13:20,199 Speaker 1: so many people. Farmers have done terrible things to wolves. 225 00:13:20,400 --> 00:13:22,520 Speaker 1: When one of the things I can't do I can 226 00:13:22,640 --> 00:13:24,840 Speaker 1: stand is to read some of the bad things people 227 00:13:24,880 --> 00:13:28,800 Speaker 1: have done to them. They're not they're not humans, and 228 00:13:28,880 --> 00:13:31,240 Speaker 1: they don't know that they're being you know why they're 229 00:13:31,240 --> 00:13:36,400 Speaker 1: being tortured. Uh, and they tortured them. So what can 230 00:13:36,440 --> 00:13:41,760 Speaker 1: we do? Just letters? Letters outraging about this outrage? And 231 00:13:41,800 --> 00:13:43,600 Speaker 1: also like do you make do you make a lot 232 00:13:43,600 --> 00:13:47,720 Speaker 1: of personal appearances talking talking about wolves two groups? Uh? 233 00:13:47,960 --> 00:13:50,600 Speaker 1: You know, to some degree, I think at anything we 234 00:13:50,640 --> 00:13:53,880 Speaker 1: can do to get into the public conversation is what 235 00:13:53,920 --> 00:13:56,559 Speaker 1: we want to do. And you know you mentioned their animals, 236 00:13:56,559 --> 00:13:59,920 Speaker 1: they don't have a voice. It's our obligation and responsibility 237 00:14:00,200 --> 00:14:02,600 Speaker 1: to actually be the voice when we can. Well, it's 238 00:14:02,600 --> 00:14:05,200 Speaker 1: like the octopus. I mean, I did you watch My 239 00:14:05,280 --> 00:14:08,720 Speaker 1: Octopus Teachers? Did you watch that? And yet every single 240 00:14:08,800 --> 00:14:12,680 Speaker 1: restaurant that's had octopus on the menu still has octopus 241 00:14:12,720 --> 00:14:15,319 Speaker 1: on the menu. I will not eat octopus. I mean 242 00:14:15,320 --> 00:14:19,480 Speaker 1: I never eat it anyway, because because I've always loved octopus, 243 00:14:19,520 --> 00:14:23,800 Speaker 1: but as a creature. But it's just incredible, They're just 244 00:14:24,440 --> 00:14:26,920 Speaker 1: they don't It doesn't make any difference. And that was 245 00:14:26,960 --> 00:14:30,800 Speaker 1: a powerful movie, powerful documentary, and the difference between octopus 246 00:14:30,800 --> 00:14:35,000 Speaker 1: and wolves is that the octopus doesn't isn't surrounded already 247 00:14:35,040 --> 00:14:38,640 Speaker 1: in this cloak of untruths and myths and fables that 248 00:14:38,720 --> 00:14:43,640 Speaker 1: have been, you know, around for centuries. So beyond giving 249 00:14:43,680 --> 00:14:46,280 Speaker 1: the wolf of voice and asking people to protect wolves 250 00:14:46,280 --> 00:14:48,960 Speaker 1: and care about wolves, we have a lot of unraveling 251 00:14:49,000 --> 00:14:52,000 Speaker 1: to do, um to change perceptions of the wolf, because 252 00:14:52,040 --> 00:14:57,000 Speaker 1: already people have really poor the big bad wolf and 253 00:14:57,080 --> 00:15:00,240 Speaker 1: little red riding hood. I mean, this is why this 254 00:15:00,360 --> 00:15:04,360 Speaker 1: was brand even our language. You know, just just if 255 00:15:04,360 --> 00:15:07,440 Speaker 1: you open the New York Times on a given day, 256 00:15:07,480 --> 00:15:10,040 Speaker 1: you're probably going to see some Wolf of Wall Street 257 00:15:10,160 --> 00:15:13,160 Speaker 1: or lone wolf terrorist or really just we have to 258 00:15:13,240 --> 00:15:16,080 Speaker 1: kind of unleash some of these negative connectations that we 259 00:15:16,120 --> 00:15:19,640 Speaker 1: connect to the word wolf um and kind of start 260 00:15:19,680 --> 00:15:22,120 Speaker 1: from scratch that people can understand what they really are, 261 00:15:22,240 --> 00:15:25,560 Speaker 1: their wild animals living their own like wild lives, but 262 00:15:25,600 --> 00:15:29,800 Speaker 1: their family, you know, just trying to do and survive 263 00:15:30,280 --> 00:15:36,440 Speaker 1: and thrive on the landscape. So incomes another canine. I 264 00:15:36,480 --> 00:15:40,240 Speaker 1: guess it's a canine, the coyote that lives all around 265 00:15:40,280 --> 00:15:42,960 Speaker 1: us here in it's just your county. What do you 266 00:15:42,960 --> 00:15:48,720 Speaker 1: think about them? I love coyotes. The thing about coyotes 267 00:15:49,240 --> 00:15:53,280 Speaker 1: that I find most remarkable is that just like wolves, 268 00:15:53,280 --> 00:15:58,400 Speaker 1: they can persecuted for centuries and they're thriving. And now 269 00:15:58,440 --> 00:16:01,280 Speaker 1: they're not only thriving, but they're all four the forty 270 00:16:01,360 --> 00:16:04,160 Speaker 1: nine of our fifty states, so every state except Hawaii. 271 00:16:04,840 --> 00:16:10,320 Speaker 1: So in terms of being outfoxed, the coyote is remarkable. Um, However, 272 00:16:10,480 --> 00:16:14,400 Speaker 1: still we're killing the hundreds of thousands. I have a 273 00:16:14,440 --> 00:16:17,840 Speaker 1: pack of coyotes on my property. They couldn't just well 274 00:16:17,920 --> 00:16:21,920 Speaker 1: be wolves. I would have a very hard time shooting 275 00:16:22,000 --> 00:16:25,160 Speaker 1: a coyote. Yeah, and yet the coyotes are wreaking havoc 276 00:16:25,280 --> 00:16:27,800 Speaker 1: on the farm. I mean, here, I am living in 277 00:16:27,840 --> 00:16:31,840 Speaker 1: this this little world, here, this little hundred and fifty 278 00:16:31,840 --> 00:16:34,680 Speaker 1: acre world of mine, wondering what the heck am I 279 00:16:34,720 --> 00:16:37,440 Speaker 1: going to do with these beautiful creatures? They walk with 280 00:16:37,520 --> 00:16:40,920 Speaker 1: me when I ride my horse, the coyotes. It's interesting horse. 281 00:16:41,000 --> 00:16:44,240 Speaker 1: I talked to them. They listen. And yet there they 282 00:16:44,280 --> 00:16:47,280 Speaker 1: go at lunch time not long ago, and ate six 283 00:16:47,440 --> 00:16:50,760 Speaker 1: of my most beautiful peacocks. I'm sorry about they did. 284 00:16:50,760 --> 00:16:54,200 Speaker 1: They just ate them at daytime, at noon when everybody 285 00:16:54,200 --> 00:16:57,080 Speaker 1: else was having their lunch. They had their lunch, and 286 00:16:57,400 --> 00:17:00,400 Speaker 1: uh and and then I called the town. I said, 287 00:17:00,600 --> 00:17:04,480 Speaker 1: is there some way to and I'm fenced, but coyotes 288 00:17:04,520 --> 00:17:07,840 Speaker 1: have their way of getting in and over and under fences. 289 00:17:08,600 --> 00:17:11,080 Speaker 1: Have to set something up for you because there are 290 00:17:11,200 --> 00:17:15,280 Speaker 1: lots of really neat tools to use, um that can 291 00:17:15,320 --> 00:17:18,919 Speaker 1: be proactive, non lethal to help the turn. Are you 292 00:17:19,000 --> 00:17:21,760 Speaker 1: doing that from people being beleaguered by wolves chew out 293 00:17:21,800 --> 00:17:23,840 Speaker 1: in the West. We don't do it personally at the 294 00:17:23,840 --> 00:17:27,560 Speaker 1: Wolf Conservation Center because we're here wolves, but definitely that 295 00:17:27,840 --> 00:17:30,879 Speaker 1: works would be very good because I'm not I'm not 296 00:17:30,920 --> 00:17:33,479 Speaker 1: about to go out and shoot the coyotes. And actually, 297 00:17:33,480 --> 00:17:35,440 Speaker 1: you say they could be wolves, you know, in terms 298 00:17:35,440 --> 00:17:37,560 Speaker 1: of they could be wolves, they actually are a little 299 00:17:37,560 --> 00:17:40,080 Speaker 1: bit wolf. I know they are because yeah, well the 300 00:17:40,119 --> 00:17:43,159 Speaker 1: coyotes we have in this area are called Eastern coyotes. Well, 301 00:17:43,200 --> 00:17:45,399 Speaker 1: we had a pack of seven babies last year, and 302 00:17:45,400 --> 00:17:48,080 Speaker 1: I've watched them grow up, and some of them are 303 00:17:48,160 --> 00:17:51,359 Speaker 1: really dark, almost black, and some are kind of a 304 00:17:51,400 --> 00:17:55,199 Speaker 1: golden color. And there they are, and you know, you 305 00:17:55,520 --> 00:17:57,640 Speaker 1: you look at I go out with flashlights at night 306 00:17:57,640 --> 00:18:02,359 Speaker 1: and find them. And but what do we do My 307 00:18:02,359 --> 00:18:06,160 Speaker 1: my domesticated animals cannot roam my dogs. I'm not worried 308 00:18:06,160 --> 00:18:09,000 Speaker 1: about my dogs. And funny because my dogs would would 309 00:18:09,000 --> 00:18:11,920 Speaker 1: make mincemeat of the coyotes, I think. But I don't 310 00:18:11,960 --> 00:18:16,000 Speaker 1: want my dogs to have the taste of blood like that. 311 00:18:16,200 --> 00:18:17,920 Speaker 1: I just don't want them to So I want them 312 00:18:17,920 --> 00:18:20,360 Speaker 1: to get in a fight. But what do you do? 313 00:18:20,440 --> 00:18:22,360 Speaker 1: What do you do? What do you do? Um? There 314 00:18:22,359 --> 00:18:25,520 Speaker 1: are things just most A lot of it's based on fear. Um. 315 00:18:25,560 --> 00:18:29,400 Speaker 1: A lot of animals, wolves, coyotes have something called neophobia, 316 00:18:29,520 --> 00:18:32,520 Speaker 1: fear of anything new. So it could be flattery, like 317 00:18:32,840 --> 00:18:34,919 Speaker 1: you know, kind of flags or ribbons that are on 318 00:18:35,040 --> 00:18:40,320 Speaker 1: fence line or noisemakers, um, you know, just anything that's 319 00:18:40,320 --> 00:18:43,840 Speaker 1: going to shock them so they don't feel comfortable. So 320 00:18:44,480 --> 00:18:46,600 Speaker 1: but yeah, I mean the dogs are pretty noisy, they're 321 00:18:46,600 --> 00:18:50,239 Speaker 1: not afraid of people's I'm so they probably thought they 322 00:18:50,280 --> 00:18:54,920 Speaker 1: were like toys. I mean, big giant peas are not. 323 00:18:55,040 --> 00:18:57,840 Speaker 1: They're as big as the coyotes, if not bigger. Quite 324 00:18:57,880 --> 00:19:00,840 Speaker 1: a snack. It was really something. But back to back 325 00:19:00,880 --> 00:19:04,120 Speaker 1: to tell us about the gray wolf, because I think 326 00:19:04,119 --> 00:19:06,879 Speaker 1: everybody says that's really what we're trying to trying to 327 00:19:06,920 --> 00:19:10,679 Speaker 1: protect the most now since there's only six thousand of them. Um, 328 00:19:10,800 --> 00:19:15,800 Speaker 1: and there's many millions of I bet there's millions of coyotes, right, millions, 329 00:19:16,200 --> 00:19:18,920 Speaker 1: So what about the gray wolf? I think I think 330 00:19:19,000 --> 00:19:21,120 Speaker 1: the one thing I would say on the last point though, 331 00:19:21,160 --> 00:19:24,120 Speaker 1: is that, like the conflict reduction methods are very similar. 332 00:19:24,160 --> 00:19:27,320 Speaker 1: When you're dealing with predators. It really is about you know, 333 00:19:27,440 --> 00:19:29,880 Speaker 1: securing as much as you can, but you can't secure 334 00:19:29,920 --> 00:19:32,399 Speaker 1: everything right, So it is lights. It is like a 335 00:19:32,480 --> 00:19:36,320 Speaker 1: livestyle guardian, dogs, range writers, various things that work. And 336 00:19:36,560 --> 00:19:38,359 Speaker 1: I think what we want to highlight is there is 337 00:19:38,400 --> 00:19:41,920 Speaker 1: a middle ground here, right, there are solutions, and frankly, 338 00:19:41,960 --> 00:19:44,359 Speaker 1: you know, in my opinion, those are the things that 339 00:19:44,400 --> 00:19:46,760 Speaker 1: we really should be funding at the state level to 340 00:19:46,880 --> 00:19:50,600 Speaker 1: try to coexist with these beautiful creatures here that people 341 00:19:50,640 --> 00:19:52,639 Speaker 1: all were going to be overrun by wolves. I'm like, 342 00:19:52,680 --> 00:19:55,120 Speaker 1: there's six thousand of them. I think we're really far 343 00:19:55,200 --> 00:19:57,840 Speaker 1: off from that. We're going in the wrong direction. But 344 00:19:57,960 --> 00:20:00,679 Speaker 1: even where there's like all of these elk, all of 345 00:20:00,760 --> 00:20:03,960 Speaker 1: this food, all of this environment, it's hard being a wolf. 346 00:20:04,040 --> 00:20:07,320 Speaker 1: You have to chase down huge prey, very high mortality 347 00:20:07,440 --> 00:20:11,000 Speaker 1: rates and um. And so they've actually really stabilized, I think, 348 00:20:11,560 --> 00:20:14,560 Speaker 1: you know, sadly, last season there were twenty five Yellowstone 349 00:20:14,600 --> 00:20:17,760 Speaker 1: wolves who were killed. That's the population. There are only 350 00:20:17,800 --> 00:20:19,680 Speaker 1: a d and twenty five in the park, which is 351 00:20:19,920 --> 00:20:24,040 Speaker 1: where they were lured out of the park and shot. 352 00:20:24,880 --> 00:20:27,399 Speaker 1: How were they lured The new laws that were passed 353 00:20:27,440 --> 00:20:31,240 Speaker 1: in just in the past couple of years UM allowed 354 00:20:31,280 --> 00:20:34,359 Speaker 1: baiting for the first time. So they had people baiting 355 00:20:34,400 --> 00:20:37,399 Speaker 1: the you know, right beyond the kind of boundary, that 356 00:20:37,440 --> 00:20:40,679 Speaker 1: invisible boundary. UM would learn them from the safety of 357 00:20:40,720 --> 00:20:44,359 Speaker 1: the park and making calls like anything they could do 358 00:20:44,440 --> 00:20:46,479 Speaker 1: to get the wolves out. And these are rules. By 359 00:20:46,480 --> 00:20:49,199 Speaker 1: the way, most wouls are not accustomed to people, but 360 00:20:49,359 --> 00:20:52,800 Speaker 1: people come to Yellowstone to sea wolves. Yeah, it was 361 00:20:52,840 --> 00:20:55,879 Speaker 1: it Like I think there's two million dollars per year 362 00:20:55,880 --> 00:20:59,159 Speaker 1: in tourism revenue of people coming to see wolves in 363 00:20:59,160 --> 00:21:01,879 Speaker 1: this area, and so they're kind of used to people. 364 00:21:01,920 --> 00:21:04,919 Speaker 1: They're not expecting this invisible boundary. You cross it, you're 365 00:21:04,960 --> 00:21:08,000 Speaker 1: going to be shot and killed. How terribly unfair is 366 00:21:08,040 --> 00:21:11,280 Speaker 1: that it is? And that's in Yellowstone where there is 367 00:21:11,440 --> 00:21:15,760 Speaker 1: no management, there's no lethal management to control their populations, 368 00:21:15,800 --> 00:21:18,439 Speaker 1: and that population has stabilized over the years. And the 369 00:21:18,520 --> 00:21:21,920 Speaker 1: same thing in Wisconsin, where they've been protected for um 370 00:21:22,000 --> 00:21:25,000 Speaker 1: a handful of years, and during that time without having 371 00:21:25,040 --> 00:21:28,720 Speaker 1: these state state sanction hunts, they saw that the population 372 00:21:28,800 --> 00:21:31,879 Speaker 1: reached carrying capacity. That means it really was able to 373 00:21:31,960 --> 00:21:35,560 Speaker 1: kind of control itself and has stabilized UM, which demonstrated 374 00:21:35,600 --> 00:21:38,840 Speaker 1: that there's no in terms of population control. The wolves 375 00:21:39,080 --> 00:21:41,479 Speaker 1: that they're set, that's not a problem. They can do 376 00:21:41,520 --> 00:21:47,040 Speaker 1: that without our help. How big is a gray wolf ah, Um, 377 00:21:47,119 --> 00:21:50,520 Speaker 1: Well they vary. There are different kinds of gray wolves. UM. 378 00:21:50,520 --> 00:21:52,679 Speaker 1: But a lot of people think from fairy tales or 379 00:21:52,840 --> 00:21:56,639 Speaker 1: movies like Twilight what have you, that there are these monstrous, 380 00:21:56,760 --> 00:22:02,160 Speaker 1: huge animals. UM. Like in the Great Lakes area of Minnesota, Wisconsin, Wish, Michigan, 381 00:22:02,640 --> 00:22:07,120 Speaker 1: a female might be seventy to ninety maybe hundred pounds. 382 00:22:07,480 --> 00:22:10,520 Speaker 1: A male might get to a hundred ten pounds UM. 383 00:22:10,560 --> 00:22:13,560 Speaker 1: In the Northern Rockies Great and that Great Jans, they're 384 00:22:13,600 --> 00:22:16,560 Speaker 1: like a giant German shipherds. Yeah, they get a little 385 00:22:16,560 --> 00:22:18,960 Speaker 1: bit bigger in the in the northern Rocky states of 386 00:22:19,040 --> 00:22:22,159 Speaker 1: like Montana, Wyoming and Idaho, UM, a male might be 387 00:22:22,200 --> 00:22:26,360 Speaker 1: a hundred fifteen pounds UM. They can be bigger. There's 388 00:22:26,400 --> 00:22:28,520 Speaker 1: been a few in Yellowstone that were over a hundred 389 00:22:28,520 --> 00:22:32,560 Speaker 1: and THIRTYE knows all of this intimately because as director 390 00:22:32,760 --> 00:22:37,280 Speaker 1: of the Wolf Conservation Center here in South Salem. How 391 00:22:37,280 --> 00:22:39,840 Speaker 1: many wolves do you have there? Now? We have thirty two? 392 00:22:40,160 --> 00:22:43,560 Speaker 1: Oh wow, you have a lot more. Yes, last time 393 00:22:43,600 --> 00:22:45,840 Speaker 1: I was there was a couple of years ago, and 394 00:22:45,880 --> 00:22:49,160 Speaker 1: now you have thirty two. What kind of wolves? Um? Well, 395 00:22:49,680 --> 00:22:52,560 Speaker 1: there are different kinds. We have um two wolves that 396 00:22:52,600 --> 00:22:55,080 Speaker 1: we just call a kind of our generic which sounds terrible, 397 00:22:55,119 --> 00:22:58,320 Speaker 1: but gray wolves and they're who, um, the wolves that 398 00:22:58,320 --> 00:23:01,119 Speaker 1: helped teach people, so there aren't bassids or education wolves. 399 00:23:01,119 --> 00:23:03,919 Speaker 1: And their names are Laywa and Nicai. And then we 400 00:23:03,960 --> 00:23:07,399 Speaker 1: have ten critically endangered red wolves, which is a totally 401 00:23:07,440 --> 00:23:11,840 Speaker 1: different species of wolf um that are currently living only 402 00:23:11,840 --> 00:23:14,800 Speaker 1: here in the north or southeast um in the state 403 00:23:14,800 --> 00:23:19,640 Speaker 1: of North Carolina. And then we have twenty Mexican gray wolves, 404 00:23:19,680 --> 00:23:22,800 Speaker 1: which are gray wolves but a different subspecies of gray wolf. 405 00:23:22,880 --> 00:23:25,320 Speaker 1: And they're about um, we have twenty of those and 406 00:23:25,320 --> 00:23:27,600 Speaker 1: they're about two hundred little fewer than two hundred in 407 00:23:27,600 --> 00:23:31,159 Speaker 1: the southwest United States. They're all in pretty bad shape 408 00:23:31,320 --> 00:23:35,040 Speaker 1: numbers wise. Yeah. What does the what does your conservation 409 00:23:35,200 --> 00:23:39,200 Speaker 1: center do for these wolves? Sure? Yeah, so we Obviously 410 00:23:39,280 --> 00:23:42,240 Speaker 1: we house them, we take care of them, we nurture them. UM. 411 00:23:42,240 --> 00:23:44,280 Speaker 1: But we're really teaching people about them. So we do 412 00:23:44,359 --> 00:23:47,399 Speaker 1: a lot of education programs. We have people on site, 413 00:23:47,440 --> 00:23:51,000 Speaker 1: we do remote programs, we do scientific webinars. We really 414 00:23:51,040 --> 00:23:53,640 Speaker 1: try to get that education at every level. How big 415 00:23:53,680 --> 00:23:55,800 Speaker 1: an area do you have for them to roam? We 416 00:23:55,880 --> 00:23:58,600 Speaker 1: have thirty four acres right now. Are they kept separate 417 00:23:58,720 --> 00:24:03,960 Speaker 1: or are they enclosures? It's they're separated by family groups. 418 00:24:04,000 --> 00:24:07,200 Speaker 1: So we have some families are just a pair of wolves. UM. 419 00:24:07,440 --> 00:24:09,840 Speaker 1: We have some families that are quite larger, up to 420 00:24:09,920 --> 00:24:14,240 Speaker 1: eight wolves, UM, that are multigenerational. But wolves ultimately live 421 00:24:14,480 --> 00:24:17,439 Speaker 1: or belong in the wild. So even you know, if 422 00:24:17,480 --> 00:24:20,400 Speaker 1: we have an enclosure that's say two acres or more, 423 00:24:21,320 --> 00:24:24,639 Speaker 1: it's it's they're dynamic creatures. They belong in the wild, 424 00:24:24,680 --> 00:24:28,359 Speaker 1: so keeping them in captivity is really difficult. UM. We 425 00:24:28,400 --> 00:24:32,679 Speaker 1: have no wolves wild in this area, do no. UM. 426 00:24:32,720 --> 00:24:35,919 Speaker 1: There has been the occasional wolf that's gotten into the Northeast, 427 00:24:36,000 --> 00:24:39,960 Speaker 1: likely from Canada UM usually UM and even into New 428 00:24:40,040 --> 00:24:44,359 Speaker 1: York UM. But those animals are usually coming via like 429 00:24:44,440 --> 00:24:46,359 Speaker 1: dead wolves. That's the only way we find out about 430 00:24:46,400 --> 00:24:50,320 Speaker 1: them because we have really robust coyote hunting throughout the Northeast. 431 00:24:50,920 --> 00:24:53,320 Speaker 1: People like, oh, I killed a really large coyote. They 432 00:24:53,359 --> 00:24:56,960 Speaker 1: do some genetic tests and confirmed that it was a wolf, 433 00:24:57,000 --> 00:24:59,320 Speaker 1: and that's happened a couple of times, so they're really 434 00:24:59,320 --> 00:25:03,280 Speaker 1: close by. But there's no populations just kind of known, 435 00:25:03,640 --> 00:25:06,639 Speaker 1: no proven populations to be here right now, what's the 436 00:25:07,040 --> 00:25:11,560 Speaker 1: lifespan of a gray wolf? Um? It really depends, you know. 437 00:25:11,600 --> 00:25:14,399 Speaker 1: Samantha touched on this earlier. How living in the wild 438 00:25:14,520 --> 00:25:17,600 Speaker 1: is hard even before you put the kind of the 439 00:25:17,680 --> 00:25:21,359 Speaker 1: human component in there. But um, you know, most pups 440 00:25:21,400 --> 00:25:25,720 Speaker 1: don't even survive to adulthood. About sixty percent of pups 441 00:25:25,800 --> 00:25:29,560 Speaker 1: UM die within the first year, usually of starvation. UM. 442 00:25:29,600 --> 00:25:31,760 Speaker 1: And during the late summer I think is the hardest time, 443 00:25:31,800 --> 00:25:35,520 Speaker 1: early fall. UM. But if they get past that that 444 00:25:35,760 --> 00:25:39,000 Speaker 1: first year and make it to two years old, they'll 445 00:25:39,040 --> 00:25:41,080 Speaker 1: likely make it maybe two four to six years old. 446 00:25:41,520 --> 00:25:44,720 Speaker 1: If there's no you know, hunting UM. So those you 447 00:25:44,760 --> 00:25:46,919 Speaker 1: know that the things that we can really be an 448 00:25:46,920 --> 00:25:50,359 Speaker 1: issue would be disease, UM starvation usually just for the 449 00:25:50,440 --> 00:25:56,199 Speaker 1: youngsters UM and UH and actually other wolves. So wolves 450 00:25:56,200 --> 00:25:59,119 Speaker 1: are a top predator, but they're also have lots of 451 00:25:59,119 --> 00:26:02,439 Speaker 1: competitors out there, and wolves will compete with mountain lions, 452 00:26:02,520 --> 00:26:06,600 Speaker 1: wolves will compete with um bears, they will compete with 453 00:26:06,600 --> 00:26:09,520 Speaker 1: coyotes to a degree um, but they also compete with 454 00:26:09,560 --> 00:26:12,040 Speaker 1: other wolves. So they're very much like people and that 455 00:26:12,119 --> 00:26:14,520 Speaker 1: they have their home turf kind of like their their 456 00:26:14,560 --> 00:26:17,280 Speaker 1: area and they're going to defend their territory um from 457 00:26:17,280 --> 00:26:21,080 Speaker 1: their neighbors. Fox fox don't really pose much of a 458 00:26:21,119 --> 00:26:25,760 Speaker 1: competition risk for wolves. Their pack animals wolves yep. So 459 00:26:25,800 --> 00:26:29,399 Speaker 1: how big is a pack um? That varies, But basically, 460 00:26:29,480 --> 00:26:31,600 Speaker 1: you know what a wolf pack is essentially just a 461 00:26:31,640 --> 00:26:34,560 Speaker 1: family um. Even you know, the alpha male alpha female 462 00:26:34,640 --> 00:26:37,560 Speaker 1: kind of terms have been pretty much uh you know, 463 00:26:37,680 --> 00:26:40,240 Speaker 1: aren't used so much in there in the wolf circles 464 00:26:40,280 --> 00:26:42,640 Speaker 1: these days because really just alpha the alpha male would 465 00:26:42,680 --> 00:26:45,600 Speaker 1: be the dad, the help of femails, the mom, and 466 00:26:45,640 --> 00:26:48,240 Speaker 1: they are the bosses because that's how it goes parent 467 00:26:48,720 --> 00:26:52,160 Speaker 1: that's how it should go, right. So, and then they 468 00:26:52,200 --> 00:26:54,919 Speaker 1: have their offspring once a year every year and they 469 00:26:54,960 --> 00:26:56,960 Speaker 1: will make up the rest of the pack. Sometimes a 470 00:26:57,000 --> 00:26:59,440 Speaker 1: wolf that's not related will join the pack um. But 471 00:26:59,480 --> 00:27:01,800 Speaker 1: they're dynamic x you have, just like with our families 472 00:27:01,840 --> 00:27:04,639 Speaker 1: you know, they kind of leave the nest at some 473 00:27:04,720 --> 00:27:07,800 Speaker 1: point and start their own families. So UM, so that's 474 00:27:07,840 --> 00:27:10,360 Speaker 1: why the numbers are a bit you know, it changes. 475 00:27:10,400 --> 00:27:13,160 Speaker 1: And also had a lot of babies that the we 476 00:27:13,280 --> 00:27:16,439 Speaker 1: have we actually we're hoping to have some more babies 477 00:27:16,480 --> 00:27:21,080 Speaker 1: this spring. Um. But last spring we had um one 478 00:27:21,160 --> 00:27:26,280 Speaker 1: letter born Mexican Mexican gray wolves. How many this letter 479 00:27:26,560 --> 00:27:31,440 Speaker 1: was five healthy and one of them actually was released 480 00:27:31,440 --> 00:27:34,679 Speaker 1: into the wild, which is very exciting and um, but 481 00:27:34,720 --> 00:27:37,280 Speaker 1: the largest litter repent at the Wolf center was a 482 00:27:37,359 --> 00:27:44,600 Speaker 1: litter of nine and nine yeah, nine and um. We 483 00:27:44,640 --> 00:27:48,680 Speaker 1: decided that we wanted to name it um name each 484 00:27:48,720 --> 00:27:54,520 Speaker 1: member after really important UM players on the Yankees and uh, 485 00:27:54,640 --> 00:27:56,560 Speaker 1: and we thought, oh, how fun because I make up 486 00:27:56,680 --> 00:27:59,359 Speaker 1: baseball team and so we're trying to do that. And 487 00:27:59,359 --> 00:28:02,000 Speaker 1: then we just I had last minute and I hope 488 00:28:02,040 --> 00:28:04,359 Speaker 1: you have an errand well we were. There was a 489 00:28:04,400 --> 00:28:07,880 Speaker 1: lot of debate, robust ongoing debate about foo should these 490 00:28:07,920 --> 00:28:11,560 Speaker 1: Yankees be and and actually we decided on second thought, 491 00:28:11,640 --> 00:28:15,360 Speaker 1: we'll name them after female conservationists, because of course Yankees 492 00:28:15,440 --> 00:28:18,760 Speaker 1: female conservationists. UM. But it worked out for the best 493 00:28:18,840 --> 00:28:21,760 Speaker 1: because the boys from that letter were actually transferred to 494 00:28:21,800 --> 00:28:24,840 Speaker 1: a different facility in Boston, And if they were named 495 00:28:24,880 --> 00:28:29,520 Speaker 1: after the Yankees, it would have been nobody would have liked. 496 00:28:29,560 --> 00:28:33,600 Speaker 1: So female conservationists one out. So wolves, what what do 497 00:28:33,640 --> 00:28:37,520 Speaker 1: wolves in the wild each? What are they looking for? Yeah? 498 00:28:37,520 --> 00:28:41,560 Speaker 1: So wolves? Um, their menu will vary depending on where 499 00:28:41,600 --> 00:28:44,160 Speaker 1: they live, Like in Yellowstone, they're going to be hunting 500 00:28:44,240 --> 00:28:50,440 Speaker 1: animals like elk um dear bison some of sometimes it's 501 00:28:50,440 --> 00:28:52,400 Speaker 1: a little bit harder for them. But there's one pack 502 00:28:52,480 --> 00:28:55,400 Speaker 1: called the Molly's Pack for years that was their expertise, 503 00:28:55,480 --> 00:29:00,720 Speaker 1: was hunting bison effectively. Um. They'll also eat smallers like 504 00:29:00,800 --> 00:29:04,120 Speaker 1: beaver hair. You know, really it depends. It's going to 505 00:29:04,200 --> 00:29:07,600 Speaker 1: take the whole family group though, in order to really 506 00:29:07,720 --> 00:29:10,320 Speaker 1: chase down a successfully hunted animal like an elk or 507 00:29:10,320 --> 00:29:12,920 Speaker 1: a bison. Um, those other animals would be more of 508 00:29:12,960 --> 00:29:16,960 Speaker 1: like a single snack. What's the ideal habitat for the 509 00:29:17,000 --> 00:29:19,560 Speaker 1: gray wolf? Is it? I mean, do they seem to 510 00:29:19,600 --> 00:29:24,120 Speaker 1: be rather adaptable? They are very adaptable. Um, And ideal 511 00:29:24,160 --> 00:29:28,120 Speaker 1: habitat is a habitat that has prey. Honestly, that's going 512 00:29:28,160 --> 00:29:30,800 Speaker 1: to be the biggest thing. Are they looking for possums 513 00:29:30,840 --> 00:29:34,320 Speaker 1: and skunks and things like that too. Yeah, you know, 514 00:29:34,400 --> 00:29:37,200 Speaker 1: like even um like the Arctic the Arctic gray wolf. 515 00:29:37,320 --> 00:29:41,240 Speaker 1: Let's say, um, while they're they're really large, you know, um, 516 00:29:41,400 --> 00:29:44,240 Speaker 1: caribou migrations, and there's the musk ox, but otherwise it's 517 00:29:44,240 --> 00:29:47,120 Speaker 1: pretty barren UM. So they're gonna be hunting things like 518 00:29:47,240 --> 00:29:52,000 Speaker 1: Lenning's and Arctic fox. UM. Really the smaller prey than 519 00:29:52,040 --> 00:29:53,920 Speaker 1: those are the ones where they won't rely on the 520 00:29:53,960 --> 00:29:57,360 Speaker 1: rest of the family members necessarily. But because food is 521 00:29:57,360 --> 00:30:00,280 Speaker 1: a bit more scarce, UM, they have a large your 522 00:30:00,400 --> 00:30:04,840 Speaker 1: territory size because they have to roam farther distances justifine food. UM, 523 00:30:04,840 --> 00:30:15,840 Speaker 1: they tend to have smaller litters as well. So the 524 00:30:15,920 --> 00:30:21,080 Speaker 1: question is what's the difference between being endangered and being threatened. 525 00:30:21,520 --> 00:30:25,520 Speaker 1: Is there a distinct difference? Yeah, I would say, you know, 526 00:30:25,720 --> 00:30:29,440 Speaker 1: endangered when when something when a species is designated as 527 00:30:29,480 --> 00:30:32,640 Speaker 1: an endangered species, they get the maximum protections, right, can't 528 00:30:32,720 --> 00:30:35,760 Speaker 1: hunt them like you have to kind of preserve their habitat, 529 00:30:36,200 --> 00:30:39,400 Speaker 1: and and endangered means well they're at risk of going extinct. 530 00:30:39,520 --> 00:30:41,240 Speaker 1: Threatens It is kind of like the next level, which 531 00:30:41,280 --> 00:30:43,280 Speaker 1: is like yo, you think they're going to become endangered. 532 00:30:43,440 --> 00:30:47,440 Speaker 1: So by the time they're endangered is really dire. Yeah, 533 00:30:48,000 --> 00:30:51,959 Speaker 1: so they're now endangered. Yeah, seriously, Yeah they are. I mean, 534 00:30:52,000 --> 00:30:54,200 Speaker 1: if you look at what's happening with these hunts and 535 00:30:54,520 --> 00:30:57,120 Speaker 1: all the barbaric methods that are being used, and frankly, 536 00:30:57,160 --> 00:30:59,720 Speaker 1: like you know, there are groups and states they're paying 537 00:30:59,720 --> 00:31:02,760 Speaker 1: bound teams, they are incentivizing hunters to go out and 538 00:31:02,800 --> 00:31:05,920 Speaker 1: cobols they're gonna pay in Idaho they'll pay between five 539 00:31:06,000 --> 00:31:11,240 Speaker 1: hundred dollars per wolf. And there's no i mean berries everywhere, 540 00:31:11,280 --> 00:31:13,920 Speaker 1: but like there's not a buch limitation in terms of 541 00:31:13,920 --> 00:31:16,240 Speaker 1: what what hunters can go out. They could go get 542 00:31:16,280 --> 00:31:19,280 Speaker 1: twenty wolves and it's really it's really slipped into the 543 00:31:19,320 --> 00:31:21,800 Speaker 1: dark ages and and no better. I mean, we used 544 00:31:21,840 --> 00:31:25,280 Speaker 1: to have likely more than a quarter of a million 545 00:31:25,320 --> 00:31:28,920 Speaker 1: wolves living coast to coast no longer. And really it 546 00:31:29,000 --> 00:31:33,640 Speaker 1: was through you know, these these predator eradication programs UM 547 00:31:33,720 --> 00:31:38,120 Speaker 1: that used poison and bounties and trapping and snares, UM 548 00:31:38,200 --> 00:31:41,280 Speaker 1: that brought them down to just a few isolated, you know, 549 00:31:41,320 --> 00:31:44,640 Speaker 1: almost family groups, mostly in the Great Lakes area and 550 00:31:44,680 --> 00:31:48,280 Speaker 1: they were gone everywhere else. UM. So then you know, 551 00:31:48,400 --> 00:31:53,920 Speaker 1: with UM, the Endangered Species Act being passed in ninety three. Um, 552 00:31:54,000 --> 00:31:56,840 Speaker 1: we stopped killing wolves and we started to protect wolves. 553 00:31:57,440 --> 00:32:00,680 Speaker 1: And at the height, how many wolves have we counted? 554 00:32:01,320 --> 00:32:03,920 Speaker 1: I mean, if we're if there's six thousand, now, what 555 00:32:04,000 --> 00:32:06,800 Speaker 1: was the most we ever counted? Um, well they don't 556 00:32:06,840 --> 00:32:09,720 Speaker 1: they weren't counting, but they're estimating at least a quarter 557 00:32:09,720 --> 00:32:13,360 Speaker 1: of a million. Really, and that's when was that. That 558 00:32:13,520 --> 00:32:18,280 Speaker 1: was really before we colonized and started these massive programs 559 00:32:18,320 --> 00:32:21,080 Speaker 1: to just get rid of most of the predators. Yeah, 560 00:32:21,120 --> 00:32:24,160 Speaker 1: it's just like you know, late eighteen hundreds, I would say, 561 00:32:24,280 --> 00:32:27,240 Speaker 1: So it was a long time ago when the bison 562 00:32:27,320 --> 00:32:30,800 Speaker 1: were running free. It's a lot always different, and there 563 00:32:30,840 --> 00:32:33,560 Speaker 1: were millions of bison and now they've been reduced to 564 00:32:33,600 --> 00:32:38,600 Speaker 1: such a pitiful number. Two. No, it's true, it's um. 565 00:32:38,640 --> 00:32:41,440 Speaker 1: So the Endangered Species list that was what year were 566 00:32:41,440 --> 00:32:44,680 Speaker 1: they removed from it? So they were removed from it. 567 00:32:44,680 --> 00:32:46,720 Speaker 1: It's gone back and forth, kind of a legal battle. 568 00:32:46,840 --> 00:32:50,720 Speaker 1: But they were initially removed like in two thousand and eleven, 569 00:32:50,760 --> 00:32:52,480 Speaker 1: and it's kind of gone back and forth in different 570 00:32:52,480 --> 00:32:56,880 Speaker 1: places for a little while now. Um. But while it 571 00:32:56,920 --> 00:33:00,280 Speaker 1: has gone back and forth, it's been a little bit confusing. UM. 572 00:33:00,320 --> 00:33:03,520 Speaker 1: But we've seen what happens when there is wolf hunting, 573 00:33:03,920 --> 00:33:07,400 Speaker 1: and then we've seen when wolves are afforded protections. Really 574 00:33:07,440 --> 00:33:11,400 Speaker 1: a lot of those populations stabilize, which really takes away, 575 00:33:11,640 --> 00:33:15,680 Speaker 1: you know, some of the reasons they're the justifications, um 576 00:33:15,800 --> 00:33:19,280 Speaker 1: for these hunts in the first place. Is there legal 577 00:33:19,360 --> 00:33:23,560 Speaker 1: hunting anywhere in the United States? Where um, legal hunting 578 00:33:23,680 --> 00:33:27,600 Speaker 1: right now is in Wyoming, Idaho and Montana. And that's 579 00:33:27,640 --> 00:33:30,440 Speaker 1: where again, like Samantha said, they're using some of these 580 00:33:30,880 --> 00:33:35,040 Speaker 1: you know bounties. You know, bounties aren't legal. I mean, 581 00:33:35,160 --> 00:33:37,800 Speaker 1: essentially we we kind of got over bounties. You know, 582 00:33:37,800 --> 00:33:41,560 Speaker 1: we celebrated the Endangered Species Act. It's fifty year anniversary 583 00:33:41,800 --> 00:33:44,360 Speaker 1: is next year. I mean, it's one of the most 584 00:33:44,800 --> 00:33:52,640 Speaker 1: uh successful environmental reinstated. I don't know, I don't know. 585 00:33:53,040 --> 00:33:57,040 Speaker 1: I think it's unfair. I think it's very unfairly. But 586 00:33:57,160 --> 00:33:59,840 Speaker 1: wolves have become sort of an emblem of this political 587 00:34:00,000 --> 00:34:02,960 Speaker 1: out all between environmentalists and you know, we don't want 588 00:34:03,000 --> 00:34:04,760 Speaker 1: to be told what to do at the state level. 589 00:34:04,760 --> 00:34:08,560 Speaker 1: And the problem is it really is not the wolves 590 00:34:08,560 --> 00:34:11,880 Speaker 1: are caught in the middle. It's not about the science 591 00:34:12,000 --> 00:34:14,240 Speaker 1: or the data behind it, because all of a sudden 592 00:34:14,239 --> 00:34:17,760 Speaker 1: you're seeing a lot of emotion um being pulled into 593 00:34:17,800 --> 00:34:19,680 Speaker 1: this issue. Where yet you look at the data, you 594 00:34:19,680 --> 00:34:21,840 Speaker 1: look at how many cattle are being killed by wolves. 595 00:34:22,040 --> 00:34:24,960 Speaker 1: You've got Montana, the state of Montana is being overrun 596 00:34:25,000 --> 00:34:26,920 Speaker 1: by elk right now, to the point where it's a 597 00:34:26,960 --> 00:34:29,640 Speaker 1: big problem that everyone knows about. You have a natural 598 00:34:29,680 --> 00:34:32,640 Speaker 1: solution here, and yet you're out there killing your natural solution. 599 00:34:32,719 --> 00:34:36,160 Speaker 1: At the same time this endangered Species list, who else 600 00:34:36,280 --> 00:34:40,240 Speaker 1: is on it? Oh gosh, lots of critters? Um, Yeah, 601 00:34:40,520 --> 00:34:43,680 Speaker 1: so it depends. You know. Again, different parts of the 602 00:34:43,680 --> 00:34:47,399 Speaker 1: country almost has different kinds of protection. But in terms 603 00:34:47,400 --> 00:34:50,080 Speaker 1: of predators, you have the grizzly bear that's currently still 604 00:34:50,160 --> 00:34:58,120 Speaker 1: being protected. Um, those different kinds of wolves, lots of birds, birds, 605 00:34:56,800 --> 00:35:02,000 Speaker 1: and that that the Endangered Species Act is really responsible 606 00:35:02,040 --> 00:35:05,640 Speaker 1: for one of the greatest conservation success stories, the emblem 607 00:35:05,760 --> 00:35:08,600 Speaker 1: of the United States. We had our first sighting here 608 00:35:08,640 --> 00:35:12,040 Speaker 1: at the farm last week. We got a picture of 609 00:35:12,080 --> 00:35:16,280 Speaker 1: a bold eagle circling the whole farm, looking looking around. 610 00:35:16,880 --> 00:35:19,799 Speaker 1: It was so exciting because I am not in the 611 00:35:19,840 --> 00:35:21,840 Speaker 1: twenty years I've been here seeing an eagle. Have you 612 00:35:21,880 --> 00:35:24,520 Speaker 1: seen one here? I haven't, but I live over in 613 00:35:24,560 --> 00:35:29,040 Speaker 1: Washington and they're like a pest out there. They're gorgeous, 614 00:35:29,080 --> 00:35:31,480 Speaker 1: they are, you know, one of the things they actually 615 00:35:31,640 --> 00:35:34,720 Speaker 1: still have some protections under what's called the Migratory Bird 616 00:35:34,760 --> 00:35:37,520 Speaker 1: Protection Act. All of a sudden, you see wolves they're 617 00:35:37,600 --> 00:35:40,400 Speaker 1: dealists that they have no protection. So, you know, I 618 00:35:40,640 --> 00:35:43,000 Speaker 1: don't know if there's like a link between those two, 619 00:35:43,000 --> 00:35:46,360 Speaker 1: but certainly something worth considering. Going from zero to do 620 00:35:46,520 --> 00:35:48,840 Speaker 1: both of you go to Washington and make your case. 621 00:35:48,880 --> 00:35:52,239 Speaker 1: Do you actually go in front of of the Congress 622 00:35:53,080 --> 00:35:56,240 Speaker 1: or the people that the committees in charge of this 623 00:35:56,239 --> 00:35:59,680 Speaker 1: this act. A key part of the campaign is really 624 00:35:59,719 --> 00:36:02,959 Speaker 1: talking too elected officials, and we do have have some 625 00:36:02,960 --> 00:36:05,680 Speaker 1: some of the members of our team are lobbyists who 626 00:36:05,719 --> 00:36:08,320 Speaker 1: are going and doing that and making it clear why 627 00:36:08,320 --> 00:36:11,319 Speaker 1: why this is important. And frankly, like I think, if 628 00:36:11,360 --> 00:36:13,480 Speaker 1: you take a step back, you look at the data, 629 00:36:13,600 --> 00:36:16,759 Speaker 1: healthy ecosystems are something we can all get behind. So 630 00:36:16,800 --> 00:36:19,759 Speaker 1: what has been the public response to your campaign for 631 00:36:20,520 --> 00:36:24,480 Speaker 1: realist wolves. Oh, it's been awesome, it's been great. It's 632 00:36:24,520 --> 00:36:27,320 Speaker 1: it's um so awesome. And I think the thing is, 633 00:36:27,360 --> 00:36:29,200 Speaker 1: it's like most people just don't know how do you 634 00:36:29,239 --> 00:36:31,680 Speaker 1: break through and talk to people. We've done a couple 635 00:36:31,680 --> 00:36:35,280 Speaker 1: of really cool things. We did this collaboration with Jim Bacher, 636 00:36:35,320 --> 00:36:39,120 Speaker 1: who's this pothole mosaic artists, so he put in these potholes. 637 00:36:39,120 --> 00:36:42,359 Speaker 1: That's a realist in d C. We put up billboards. 638 00:36:42,400 --> 00:36:45,400 Speaker 1: We collaborated with Jason Momoa and Sender Films on a 639 00:36:45,480 --> 00:36:48,840 Speaker 1: public service spot. Um. All of these things are you know, 640 00:36:48,920 --> 00:36:51,759 Speaker 1: incremental grains of sand that are building up into a 641 00:36:51,800 --> 00:36:55,319 Speaker 1: mountain of change. And so it's been really great. But 642 00:36:55,400 --> 00:36:58,160 Speaker 1: I would say probably every day I talked to someone, 643 00:36:58,200 --> 00:37:00,320 Speaker 1: whether it's at work or a friend, they're like, they 644 00:37:00,320 --> 00:37:02,840 Speaker 1: didn't know about this issue. To the wolves, like the 645 00:37:02,880 --> 00:37:06,920 Speaker 1: cold weather, they love the cold yes, And do they 646 00:37:06,920 --> 00:37:09,520 Speaker 1: have dens? Do they go into den's at night? They do? 647 00:37:09,719 --> 00:37:12,520 Speaker 1: And you know, we're tear. I would hate to be 648 00:37:12,560 --> 00:37:14,799 Speaker 1: a wolf with the wolf setter sometimes just because we 649 00:37:14,840 --> 00:37:19,520 Speaker 1: have webcams everywhere, So we have webcams and their enclosures 650 00:37:19,520 --> 00:37:23,640 Speaker 1: and also in their dens. So unbeknownst to the wolves, 651 00:37:24,160 --> 00:37:28,280 Speaker 1: we have an unlimited uh number of like a global 652 00:37:28,320 --> 00:37:31,759 Speaker 1: audience basically sneaking into their dens at night to watch. 653 00:37:31,960 --> 00:37:34,759 Speaker 1: How do how do we access that um at our 654 00:37:34,800 --> 00:37:37,520 Speaker 1: website as just and why wolf dot org. But yeah, 655 00:37:37,600 --> 00:37:39,640 Speaker 1: I encourage I wanted to go check out the wolves. 656 00:37:39,800 --> 00:37:42,839 Speaker 1: Webcams are so cool. Yeah, so that's that's important. I mean, 657 00:37:42,840 --> 00:37:46,880 Speaker 1: you can watch so many animals by webcam, and it 658 00:37:47,040 --> 00:37:51,319 Speaker 1: is extraordinary that we can. We can be nosy in 659 00:37:51,480 --> 00:37:54,120 Speaker 1: the best possible way. We are now you know we 660 00:37:54,160 --> 00:37:58,680 Speaker 1: are nosy. Um. So, wolves were some of the first 661 00:37:58,680 --> 00:38:03,520 Speaker 1: animals shield by the Natured Species Act and the decision, well, 662 00:38:03,520 --> 00:38:07,160 Speaker 1: we we've discussed this have been politically charged ever since. 663 00:38:07,880 --> 00:38:10,880 Speaker 1: And and how do you think, how do you really 664 00:38:10,960 --> 00:38:15,400 Speaker 1: think we can change this? We need a president that cares, 665 00:38:16,200 --> 00:38:20,040 Speaker 1: you know, voice, a voice that cares and is outspoken 666 00:38:20,320 --> 00:38:22,680 Speaker 1: and who's ready to be brave about an issue that 667 00:38:22,880 --> 00:38:26,360 Speaker 1: is is surprisingly difficult. And I think we've been surprised 668 00:38:26,360 --> 00:38:29,560 Speaker 1: at how difficult it has been to push this administration, 669 00:38:29,600 --> 00:38:33,080 Speaker 1: which generally is very science driven, until they can actually 670 00:38:33,160 --> 00:38:35,200 Speaker 1: come up with a plan to meet in the middle 671 00:38:35,239 --> 00:38:38,399 Speaker 1: and figure out how do we live with wolves? They 672 00:38:38,400 --> 00:38:41,920 Speaker 1: need protections and the administration needs to recognize that and 673 00:38:41,960 --> 00:38:44,600 Speaker 1: restore them. Well, I really think that you have to 674 00:38:44,680 --> 00:38:48,839 Speaker 1: go out to Montana, to the Yellowstone Ranch and talk 675 00:38:48,960 --> 00:38:53,319 Speaker 1: to Kevin and his producers, and and uh and make it, 676 00:38:53,400 --> 00:38:56,160 Speaker 1: make it even a bigger subject on such a program 677 00:38:56,200 --> 00:38:58,800 Speaker 1: like that, and get and get get some more programs 678 00:38:58,800 --> 00:39:01,880 Speaker 1: about wolves. Because as as you say, they have been, 679 00:39:01,920 --> 00:39:05,440 Speaker 1: they have been made menaces, they have been made evil, 680 00:39:05,920 --> 00:39:09,239 Speaker 1: they have been miscast. Miscast is the best word. They've 681 00:39:09,280 --> 00:39:13,920 Speaker 1: been miscast and in American history. And um, and I think, uh, 682 00:39:14,760 --> 00:39:16,960 Speaker 1: the voice, your voices have to be heard bigger and 683 00:39:17,000 --> 00:39:20,840 Speaker 1: bigger and bigger. Well, we have some very exciting ideas 684 00:39:20,880 --> 00:39:23,000 Speaker 1: as much as you want to lean in with us here, 685 00:39:23,040 --> 00:39:26,160 Speaker 1: and um, I mean, this is just an incredible opportunity 686 00:39:26,160 --> 00:39:28,799 Speaker 1: to do that. Thank you very much for educating us 687 00:39:29,280 --> 00:39:33,320 Speaker 1: on such an important topic and these very very beautiful creatures. 688 00:39:33,800 --> 00:39:38,320 Speaker 1: To find out more. Again, remember everyone, you can save 689 00:39:38,360 --> 00:39:43,000 Speaker 1: the wolves by visiting Realist r E. L I S T. 690 00:39:43,440 --> 00:39:48,160 Speaker 1: Wolves dot org and use the hashtag realist wolves. And 691 00:39:48,239 --> 00:39:50,719 Speaker 1: to learn more about wolves in general, visit New York, 692 00:39:51,480 --> 00:39:55,880 Speaker 1: n Y wolf dot org. Those are important addresses for 693 00:39:55,920 --> 00:39:59,120 Speaker 1: you to know. I have been instructed that before we're 694 00:39:59,280 --> 00:40:04,160 Speaker 1: done here that Maggie should teach Martha how to howl 695 00:40:04,280 --> 00:40:06,479 Speaker 1: like a wolf. Oh you can you have? Well really 696 00:40:06,520 --> 00:40:11,120 Speaker 1: and Maggie's name is Maggie yes, which is so weird, 697 00:40:11,640 --> 00:40:15,000 Speaker 1: but my name is My name is Stuart art on 698 00:40:15,120 --> 00:40:22,280 Speaker 1: the artists of Stuart O Good, Okay, blow out the mic, Maggie, 699 00:40:22,760 --> 00:40:35,520 Speaker 1: don't get scared everybody because oh pretty legit