1 00:00:06,600 --> 00:00:09,920 Speaker 1: Welcome to Creature feature production of iHeart Radio. I'm your 2 00:00:10,000 --> 00:00:13,720 Speaker 1: host of Mini Parasites, Katie Golden. I studied psychology and 3 00:00:13,760 --> 00:00:16,799 Speaker 1: evolutionary biology, and today on the show, it's birds in 4 00:00:16,880 --> 00:00:21,560 Speaker 1: the News Owls. Well that ends well, we're talking about 5 00:00:21,640 --> 00:00:25,600 Speaker 1: some noteworthy birds, especially owls. This is a very owl 6 00:00:25,680 --> 00:00:29,000 Speaker 1: heavy episode because I like to keep up with the 7 00:00:29,000 --> 00:00:33,360 Speaker 1: bird news, because if you birds news, you bird lows. 8 00:00:34,479 --> 00:00:39,400 Speaker 1: So we will learn about orange owls, what's happening. We 9 00:00:39,479 --> 00:00:42,400 Speaker 1: will also learn about how an owl was at the 10 00:00:42,520 --> 00:00:47,080 Speaker 1: center of a fight for the Endangered Species Act. And 11 00:00:47,120 --> 00:00:50,760 Speaker 1: we will in the show with a short sweet kids 12 00:00:50,840 --> 00:00:54,720 Speaker 1: story about robots taking care of birds, which I do love. 13 00:00:57,160 --> 00:01:00,640 Speaker 1: Discover this and more as we answer the age question 14 00:01:01,160 --> 00:01:06,120 Speaker 1: was the wild Robot just a documentary? Joining me today 15 00:01:06,760 --> 00:01:10,400 Speaker 1: is friend of the show, producer host of the podcast 16 00:01:10,520 --> 00:01:13,400 Speaker 1: Rough Stuff as well as shooting threes, Bridget Greenberg. 17 00:01:13,640 --> 00:01:17,360 Speaker 2: Look, Hi, it's me. I heard an owl the other 18 00:01:17,440 --> 00:01:20,679 Speaker 2: day at like at like four in the morning, and 19 00:01:20,720 --> 00:01:23,120 Speaker 2: I was very excited, and I woke up my boyfriend, 20 00:01:23,120 --> 00:01:26,000 Speaker 2: who was not as excited as me about hearing an owl. 21 00:01:26,319 --> 00:01:29,080 Speaker 1: I am so proud of you, Bridget. I can't even 22 00:01:29,240 --> 00:01:33,120 Speaker 1: begin like this is I this is why you're on 23 00:01:33,160 --> 00:01:36,640 Speaker 1: the show. I approved so much. Tell your boyfriend he's wrong. 24 00:01:37,800 --> 00:01:38,200 Speaker 2: Yeah. 25 00:01:38,240 --> 00:01:40,720 Speaker 1: This happens with my husband all the time, where I'm like, 26 00:01:40,880 --> 00:01:42,200 Speaker 1: did you hear that bird? He's like, what are you 27 00:01:42,240 --> 00:01:44,720 Speaker 1: talking about? And it's like do you have ears? Do 28 00:01:44,800 --> 00:01:46,360 Speaker 1: you not hear the birds? 29 00:01:46,920 --> 00:01:47,880 Speaker 2: Like they're all around us? 30 00:01:47,960 --> 00:01:53,080 Speaker 1: I cannot. I cannot navigate to save my life. I 31 00:01:53,120 --> 00:01:56,760 Speaker 1: will like go into a building, exit the building, and 32 00:01:56,840 --> 00:02:00,320 Speaker 1: run directly into like either traffic or a wall. Uh. 33 00:02:00,480 --> 00:02:00,720 Speaker 2: Sure. 34 00:02:01,000 --> 00:02:03,000 Speaker 1: I can never find my way around. I have no 35 00:02:03,120 --> 00:02:03,920 Speaker 1: sense of direction. 36 00:02:05,840 --> 00:02:08,160 Speaker 2: The fact that I'm not in a parking garage right 37 00:02:08,200 --> 00:02:10,079 Speaker 2: now looking for my car is amazing. 38 00:02:10,600 --> 00:02:13,160 Speaker 1: No, No, I know, same, same I've I've been. I've 39 00:02:13,200 --> 00:02:15,440 Speaker 1: been stuck in a parking garage just going around and 40 00:02:15,480 --> 00:02:18,120 Speaker 1: around and around for like more times than I care 41 00:02:18,160 --> 00:02:22,720 Speaker 1: to admit. Uh. And I I do sometimes have to 42 00:02:22,840 --> 00:02:28,360 Speaker 1: be guided like a sort of untrained mongrel uh to 43 00:02:28,480 --> 00:02:33,000 Speaker 1: make sure I do not interact dangerously with traffic. So 44 00:02:34,200 --> 00:02:37,079 Speaker 1: you would think that, Okay, my skills of observation are 45 00:02:37,120 --> 00:02:39,800 Speaker 1: not that great. But the thing is, I'm using like 46 00:02:39,919 --> 00:02:42,400 Speaker 1: ninety nine percent of my brain power to like hear 47 00:02:42,639 --> 00:02:45,160 Speaker 1: listen for and observe birds. So every time I got 48 00:02:45,160 --> 00:02:48,960 Speaker 1: your important yeah, I'm like, I'm like Brett, who's my husband? 49 00:02:49,040 --> 00:02:51,080 Speaker 1: Like Brett, there's a cout Did you hear that? That 50 00:02:51,200 --> 00:02:52,960 Speaker 1: was a cout? Hey, there was a There's a tit? 51 00:02:53,080 --> 00:02:55,119 Speaker 1: Did you hear that tit? Hey, there was a houseparrow? 52 00:02:55,200 --> 00:02:55,680 Speaker 1: Did you hear that? 53 00:02:55,960 --> 00:02:59,079 Speaker 2: They'll guide you. The birds will guide you if you listen. 54 00:02:59,240 --> 00:03:03,840 Speaker 1: The birds will guide you, possibly into traffic. But the 55 00:03:03,919 --> 00:03:07,160 Speaker 1: point is it's really important to observe birds at the 56 00:03:07,200 --> 00:03:08,880 Speaker 1: expense of any other sort of. 57 00:03:10,320 --> 00:03:10,840 Speaker 2: Yeah. 58 00:03:10,919 --> 00:03:15,040 Speaker 1: So we're on the same page there, and people have 59 00:03:15,160 --> 00:03:21,040 Speaker 1: been observing one particular bird near Lake here on Michigan. 60 00:03:21,560 --> 00:03:29,440 Speaker 1: People have spotted an uh orange owl. Orange owl just dropped, Yes, 61 00:03:29,560 --> 00:03:33,200 Speaker 1: new orange owl. New orange owl is So they have 62 00:03:33,280 --> 00:03:36,720 Speaker 1: spotted a snowy owl that people have named either Rusty 63 00:03:37,040 --> 00:03:41,200 Speaker 1: or Creamsicle. I kind of like creamsicle. Yeah, I'm sort 64 00:03:41,240 --> 00:03:43,320 Speaker 1: of on the I'm voting for creamsicle is the name? 65 00:03:44,200 --> 00:03:48,000 Speaker 2: Yeah, Rusty is like, yeah, cute classic. There are probably 66 00:03:48,200 --> 00:03:51,920 Speaker 2: other birds named Rusty Creamsicle. Creamsicle is it original name? 67 00:03:52,040 --> 00:03:54,040 Speaker 1: Also, if you see this bird, oh wait, I have 68 00:03:54,080 --> 00:03:56,840 Speaker 1: to yeah, I have to give you the images because like, 69 00:03:57,280 --> 00:03:59,600 Speaker 1: this is like a bright This is not just kind 70 00:03:59,600 --> 00:04:01,400 Speaker 1: of orange in the sense of. 71 00:04:01,400 --> 00:04:03,080 Speaker 2: No, it's not a color. 72 00:04:03,200 --> 00:04:05,480 Speaker 1: Yeah, it's like a like how a fox is orange 73 00:04:05,520 --> 00:04:07,720 Speaker 1: or whatever, where it's like, it's a pretty decent foxes 74 00:04:07,760 --> 00:04:10,160 Speaker 1: are a decent orange. But it's like a natural looking orange. 75 00:04:10,280 --> 00:04:13,880 Speaker 1: This is bright, synthetic looking orange. 76 00:04:14,120 --> 00:04:18,400 Speaker 2: Yeah, it's like someone like a toddler started coloring it 77 00:04:18,680 --> 00:04:20,400 Speaker 2: with a cran and then forgot. 78 00:04:20,880 --> 00:04:27,440 Speaker 1: Yep, that is but like precisely, precisely what it looks like, 79 00:04:27,440 --> 00:04:31,839 Speaker 1: like a toddler kind of spilled some cran juice. Cran 80 00:04:31,920 --> 00:04:32,920 Speaker 1: juice isn't a thing, but. 81 00:04:32,920 --> 00:04:33,640 Speaker 2: The grand juice. 82 00:04:33,920 --> 00:04:35,240 Speaker 1: That is kind of what it looks like. 83 00:04:36,600 --> 00:04:43,400 Speaker 2: Yeah, what a stunning bird, very beautiful. Yeah. Creamsicle. Yeah, 84 00:04:43,480 --> 00:04:46,240 Speaker 2: creamsicle is a name one hundred because it's also got 85 00:04:46,240 --> 00:04:47,920 Speaker 2: the white mixed in. It's not just as. 86 00:04:48,040 --> 00:04:51,480 Speaker 1: Yeah yeah, no, it's it's one hundred percent of creamsicle. Uh, 87 00:04:51,880 --> 00:04:55,800 Speaker 1: perfect name. No notes on that this bird is a singular. 88 00:04:55,960 --> 00:04:58,000 Speaker 1: It's not that this is a new species. This is 89 00:04:58,040 --> 00:05:04,080 Speaker 1: a snowy owl, so this is known. And the the 90 00:05:04,200 --> 00:05:06,880 Speaker 1: fact that it looks like it's been stained with a 91 00:05:06,960 --> 00:05:11,560 Speaker 1: highlighter or dipped in sauce has been there's been multiple 92 00:05:11,560 --> 00:05:14,560 Speaker 1: photographs of it, so it's not like a photoshop hooks 93 00:05:15,040 --> 00:05:18,800 Speaker 1: or something of that nature. So it is definitely a 94 00:05:18,800 --> 00:05:22,000 Speaker 1: bird that exists who is orange, and we don't really 95 00:05:22,080 --> 00:05:28,960 Speaker 1: know why. So it's not like it's not like, oh yes, 96 00:05:29,080 --> 00:05:31,600 Speaker 1: oh yes, we know this is this owl has uh 97 00:05:31,839 --> 00:05:33,640 Speaker 1: orangeitis that. 98 00:05:33,720 --> 00:05:37,040 Speaker 2: You know, are like a variety of snowy owl that 99 00:05:37,240 --> 00:05:38,920 Speaker 2: is orange. 100 00:05:39,200 --> 00:05:42,880 Speaker 1: No, no, no, no no. Researchers are like, no, this 101 00:05:43,000 --> 00:05:47,919 Speaker 1: is not this is not normal, and so there have 102 00:05:48,040 --> 00:05:53,080 Speaker 1: been a variety of theories as to what is going on. Obviously, 103 00:05:53,200 --> 00:05:58,600 Speaker 1: someone could have possibly captured a snowy owl, dyed it 104 00:05:59,360 --> 00:06:05,680 Speaker 1: and then release it as a prank, which seems somewhat 105 00:06:05,760 --> 00:06:12,200 Speaker 1: unlikely in my opinion. I not I don't put it. 106 00:06:09,760 --> 00:06:13,359 Speaker 1: It's not it's not a good prank. It's not that 107 00:06:13,400 --> 00:06:17,240 Speaker 1: I don't put it past people. I you know, as 108 00:06:17,320 --> 00:06:20,000 Speaker 1: much as I love humanity, we got some stinkers, We 109 00:06:20,080 --> 00:06:22,320 Speaker 1: got some stinkers, and we got some perverts. So I 110 00:06:22,360 --> 00:06:25,160 Speaker 1: would believe a person would do this. It's that I 111 00:06:25,320 --> 00:06:29,919 Speaker 1: think it's that I doubt the person who would want 112 00:06:29,960 --> 00:06:34,000 Speaker 1: to die an owl orange would have the capacity to 113 00:06:34,040 --> 00:06:36,120 Speaker 1: do it. You know what I mean, like a pigeon, 114 00:06:36,200 --> 00:06:38,920 Speaker 1: Sure you can't. You can catch a pigeon. So like 115 00:06:39,000 --> 00:06:42,080 Speaker 1: people have caught pigeons and like done weird things to pigeons, 116 00:06:42,160 --> 00:06:45,280 Speaker 1: like glued little hats to their heads, which I disapprove of. 117 00:06:45,400 --> 00:06:48,880 Speaker 1: Don't do that. If a pigeon wants to wear a hat, 118 00:06:48,920 --> 00:06:49,599 Speaker 1: it'll wear a hat. 119 00:06:49,640 --> 00:06:52,520 Speaker 2: You don't. If you glue it will find a hat. Yeah, 120 00:06:52,640 --> 00:06:55,320 Speaker 2: they're around enough trash, I'll find a hat. 121 00:06:56,160 --> 00:06:59,480 Speaker 1: And honestly, like pigeon fashion is so far advanced from 122 00:06:59,560 --> 00:07:02,279 Speaker 1: human fact, like pigeons who wear bread around their necks 123 00:07:02,440 --> 00:07:06,720 Speaker 1: or bagels around their necks. Like, pigeon fashion is beyond us. 124 00:07:07,720 --> 00:07:10,280 Speaker 2: Yeah we're not ready for that runway walk. 125 00:07:10,200 --> 00:07:14,360 Speaker 1: No, no, exactly, So leave the pigeons alone. But yeah, 126 00:07:14,400 --> 00:07:16,760 Speaker 1: like I would, I would believe this was a prank 127 00:07:16,760 --> 00:07:19,440 Speaker 1: if it was a pigeon because people are weird. But 128 00:07:19,520 --> 00:07:23,800 Speaker 1: a snowy owl, I don't see how someone would catch it. 129 00:07:24,600 --> 00:07:28,880 Speaker 1: I mean it's possible, but it just seems it seems 130 00:07:28,920 --> 00:07:33,800 Speaker 1: like an odd thing to do. Uh, it's not done 131 00:07:33,840 --> 00:07:37,680 Speaker 1: by researchers, right, because there are like bird conservation projects 132 00:07:37,680 --> 00:07:38,960 Speaker 1: and stuff, but there's nothing right. 133 00:07:39,080 --> 00:07:41,440 Speaker 2: There are other ways to tag bird. 134 00:07:41,640 --> 00:07:43,560 Speaker 1: There used to be I think, like a few decades ago, 135 00:07:43,600 --> 00:07:45,600 Speaker 1: there used to be some things where they would use 136 00:07:45,640 --> 00:07:48,080 Speaker 1: paint to track birds. But that was a long long 137 00:07:48,120 --> 00:07:51,960 Speaker 1: time ago. We don't do that anymore. It's banding birds now. 138 00:07:52,120 --> 00:07:55,080 Speaker 1: Radios or banding birds no longer using paint to track 139 00:07:55,360 --> 00:07:56,560 Speaker 1: migratory birds. 140 00:07:57,440 --> 00:08:01,520 Speaker 2: So that's that's a lot of paints. I would imagine. Yeah, 141 00:08:01,560 --> 00:08:03,600 Speaker 2: I would imagine they just like kind of give a 142 00:08:03,680 --> 00:08:05,880 Speaker 2: stripe when they did it, not try to. 143 00:08:06,080 --> 00:08:08,880 Speaker 1: Yeah, they didn't dunk. They didn't dunk the bird into 144 00:08:08,960 --> 00:08:12,440 Speaker 1: sort of the that little package of seasoning that comes 145 00:08:12,440 --> 00:08:13,480 Speaker 1: in with Kraft. 146 00:08:13,320 --> 00:08:17,240 Speaker 2: Mad and cheese. Yeah, yeah, exactly. 147 00:08:17,480 --> 00:08:21,800 Speaker 1: So uh yeah, So various researchers have various theories. So 148 00:08:21,880 --> 00:08:28,520 Speaker 1: one is by Michigan State University bird coloration expert Kevin McGraw, 149 00:08:28,880 --> 00:08:33,160 Speaker 1: who thinks it's possible the owl has a mutation resulting 150 00:08:33,200 --> 00:08:38,440 Speaker 1: from environmental factors such as pollution. So that's theory number one, 151 00:08:38,520 --> 00:08:42,400 Speaker 1: that this bird is an orange mutant. Huh. 152 00:08:42,880 --> 00:08:48,640 Speaker 2: Sad for the reason, but cool turnout like that if 153 00:08:48,720 --> 00:08:51,800 Speaker 2: we get more orange owls, that's pretty cool, but you know, 154 00:08:51,880 --> 00:08:54,800 Speaker 2: for bad reasons ultimately net zero. 155 00:08:55,080 --> 00:08:57,080 Speaker 1: Yeah, I don't want the lesson to be let's let's 156 00:08:57,200 --> 00:08:59,080 Speaker 1: keep oranging our owls like. 157 00:08:59,559 --> 00:09:03,280 Speaker 2: No, no, it's a net negative for sure, but cool. 158 00:09:05,440 --> 00:09:07,480 Speaker 1: But that's that's a theory, right, that is not there 159 00:09:07,520 --> 00:09:11,000 Speaker 1: has been no evidence of that, other than the fact 160 00:09:11,000 --> 00:09:17,680 Speaker 1: there's an orange owl going around. Auburn University ornithologist Jeffrey 161 00:09:17,760 --> 00:09:21,040 Speaker 1: Hill believes it is not a mutation. He thinks that 162 00:09:21,240 --> 00:09:24,760 Speaker 1: it the pattern of coloration seems to be a die 163 00:09:24,840 --> 00:09:31,000 Speaker 1: that was applied. But again the question is why and 164 00:09:31,040 --> 00:09:33,680 Speaker 1: who and how and what? 165 00:09:37,080 --> 00:09:42,760 Speaker 2: Yeah, what I mean? I like I people are weird, 166 00:09:43,280 --> 00:09:46,720 Speaker 2: they really are. So I'm being like, this is my bird, 167 00:09:46,720 --> 00:09:49,160 Speaker 2: and I want to know it's my bird. But owl 168 00:09:49,280 --> 00:09:51,080 Speaker 2: seem hard to. 169 00:09:53,320 --> 00:09:53,440 Speaker 1: Like. 170 00:09:53,559 --> 00:09:58,079 Speaker 2: I I've had enough like trouble, trying to trama, housecats, nails. 171 00:09:58,679 --> 00:10:02,120 Speaker 2: I can't imagine trying to die an entire owl. 172 00:10:02,720 --> 00:10:05,760 Speaker 1: I've often thought about how one would go about dying 173 00:10:05,760 --> 00:10:08,360 Speaker 1: an entire owl. I've given a lot of thought of it, 174 00:10:08,679 --> 00:10:11,599 Speaker 1: about it, a lot of thoughts to it. But I 175 00:10:11,640 --> 00:10:15,160 Speaker 1: would imagine be quite difficult. And owls are essentially the 176 00:10:15,240 --> 00:10:20,680 Speaker 1: cats of the sky. Yeah they don't, they really do. 177 00:10:20,760 --> 00:10:24,480 Speaker 1: They don't want to be dyed. Uh, And so it's 178 00:10:24,480 --> 00:10:28,200 Speaker 1: not like. It's not like an eery PoTA where the 179 00:10:28,280 --> 00:10:31,720 Speaker 1: owls are just gonna like fly around and deliver you 180 00:10:31,840 --> 00:10:35,520 Speaker 1: mail and let you do weird wizard stuff to it. 181 00:10:35,520 --> 00:10:38,760 Speaker 1: It's not gonna like that, and it's gonna use its 182 00:10:38,800 --> 00:10:40,600 Speaker 1: big clause on you. 183 00:10:41,920 --> 00:10:45,240 Speaker 2: Yeah. Every time I've seen an owl at like a 184 00:10:45,440 --> 00:10:48,840 Speaker 2: zoo or some sort of bird. 185 00:10:48,559 --> 00:10:51,600 Speaker 1: Show, bird show isn't the word that you're looking for. 186 00:10:51,720 --> 00:10:56,439 Speaker 2: But all right, yeah, but you know you know bird 187 00:10:57,480 --> 00:10:59,320 Speaker 2: with bird Yeah, bird show, bird shop. 188 00:11:00,000 --> 00:11:03,359 Speaker 1: You're right, I apologize, I apologize. It is called bird show. 189 00:11:03,800 --> 00:11:06,280 Speaker 2: Bird show. This is bird show. 190 00:11:06,800 --> 00:11:06,959 Speaker 1: Uh. 191 00:11:07,600 --> 00:11:09,600 Speaker 2: Yeah. They do have the vibe of cats of like 192 00:11:09,800 --> 00:11:11,760 Speaker 2: gaze upon me, do not come near me? 193 00:11:12,000 --> 00:11:17,360 Speaker 1: Yes, but gaze, Yeah, you make gaze. The last theory 194 00:11:17,520 --> 00:11:19,840 Speaker 1: is the one that I believe in. This is the 195 00:11:19,920 --> 00:11:23,640 Speaker 1: explanation that really does it for me. Uh. A third 196 00:11:23,679 --> 00:11:28,920 Speaker 1: bird expert, doctor Scott Whedenschnall. Also he has the best name, 197 00:11:29,000 --> 00:11:31,320 Speaker 1: so I gotta go with him. He's the co founder 198 00:11:31,360 --> 00:11:35,040 Speaker 1: of Project Snowstorm, a snowy owl research group. He told 199 00:11:35,080 --> 00:11:38,360 Speaker 1: The New York Times New York Times is how do 200 00:11:38,440 --> 00:11:41,920 Speaker 1: you say that? New York Times is James Krugnall Knolly 201 00:11:42,520 --> 00:11:46,640 Speaker 1: New York Times is James Krignolly. The most likely explanation 202 00:11:46,760 --> 00:11:49,560 Speaker 1: is that it was the icing fluid at an airport, 203 00:11:50,040 --> 00:11:56,000 Speaker 1: since some formulations are that red orange color. Oh, I 204 00:11:56,040 --> 00:12:00,600 Speaker 1: think he. I think that's what happens. That feels them 205 00:12:00,880 --> 00:12:02,560 Speaker 1: right that like doesn't me. 206 00:12:04,160 --> 00:12:07,360 Speaker 2: That that kind of feels like the Okham's razor. Uh. 207 00:12:07,800 --> 00:12:11,040 Speaker 2: The simplest answer is the best. Uh, this alog it's 208 00:12:11,080 --> 00:12:11,800 Speaker 2: got spilt on. 209 00:12:12,120 --> 00:12:15,200 Speaker 1: Right exactly, Like when I look at this al, I'm like, yeah, 210 00:12:15,200 --> 00:12:18,520 Speaker 1: that guy could have gotten blitzed with a diceer sprayer 211 00:12:19,160 --> 00:12:23,079 Speaker 1: and uh, also like it there's like kind of it 212 00:12:23,160 --> 00:12:27,240 Speaker 1: explains the kind of tied eye pattern, the pattern, right yeah. 213 00:12:27,440 --> 00:12:31,640 Speaker 1: And also like there there's like some white feathers above 214 00:12:31,679 --> 00:12:33,599 Speaker 1: the orange ones, and it's like, yeah, it could have 215 00:12:33,640 --> 00:12:36,520 Speaker 1: also molted some of the other feathers and so that's 216 00:12:36,520 --> 00:12:38,640 Speaker 1: why some of them look like pristine and other ones 217 00:12:38,640 --> 00:12:41,160 Speaker 1: are sort of like have this color spread on it. 218 00:12:41,400 --> 00:12:43,520 Speaker 1: So I think this, I think this guy got blested 219 00:12:43,559 --> 00:12:49,000 Speaker 1: with with plane juice. Oh no, yeah. 220 00:12:49,240 --> 00:12:51,960 Speaker 2: I mean and that also his his his face in 221 00:12:52,080 --> 00:12:54,400 Speaker 2: the in the first one is like, yeah. 222 00:12:54,200 --> 00:12:59,280 Speaker 1: I get me, Yeah, he's he's a this this is 223 00:12:59,320 --> 00:13:01,680 Speaker 1: a this is a bird that now has a vendetta 224 00:13:01,760 --> 00:13:05,959 Speaker 1: against planes, which does worry me. Yeah, yeah, I think 225 00:13:05,960 --> 00:13:07,480 Speaker 1: we should be concerned about that. 226 00:13:08,000 --> 00:13:10,040 Speaker 2: We should watch out for this bird. If you're in 227 00:13:11,920 --> 00:13:16,400 Speaker 2: if you see creamsicle, you see creamsicle out your window 228 00:13:16,480 --> 00:13:19,840 Speaker 2: and you're flying it does it does seem like it 229 00:13:19,960 --> 00:13:23,360 Speaker 2: just takes one, you know these days, it just takes one. 230 00:13:23,760 --> 00:13:30,040 Speaker 1: Yeah, so yeah, Creamsicle. Creamsicles revenge hopefully won't happen, but yeah, 231 00:13:30,240 --> 00:13:36,080 Speaker 1: poor Creamsicle. Also, if you are in the Michigan Lake 232 00:13:36,120 --> 00:13:41,480 Speaker 1: here on area, uh, do not snitch on creamsicle. I can't. 233 00:13:41,920 --> 00:13:44,480 Speaker 1: I can't emphasize this enough. Don't be a snitch. If 234 00:13:44,520 --> 00:13:49,000 Speaker 1: you see creamsicle. Feel free to take a photo marvel 235 00:13:49,040 --> 00:13:55,000 Speaker 1: at creamsicles beauty and orange appearance, but do not post 236 00:13:55,080 --> 00:13:58,120 Speaker 1: online where you see creamsicle. If you take a photo 237 00:13:58,120 --> 00:13:59,680 Speaker 1: and you want to share it online, scrub it of 238 00:13:59,679 --> 00:14:04,840 Speaker 1: any I identifying information. Because people do not want this 239 00:14:04,960 --> 00:14:08,319 Speaker 1: owl to be harassed. This owl is like a bird celebrity. 240 00:14:08,360 --> 00:14:11,160 Speaker 1: It's like it's like bird Scarlet jo It's like bird 241 00:14:11,200 --> 00:14:15,240 Speaker 1: Scarlet Johansson. I think I saw recently this post about 242 00:14:15,240 --> 00:14:18,079 Speaker 1: like Scarlet Johansson doesn't like to take photos with fans 243 00:14:18,120 --> 00:14:21,280 Speaker 1: because she it's like kind of an invasion of her privacy. 244 00:14:21,320 --> 00:14:24,400 Speaker 1: And it's like, yeah, that completely makes sense, scargo. I'm 245 00:14:24,440 --> 00:14:27,080 Speaker 1: one hundred percent on her side. Like she's probably out 246 00:14:27,120 --> 00:14:30,800 Speaker 1: some stalkers, so she doesn't want photos taken. That makes sense. 247 00:14:31,160 --> 00:14:34,200 Speaker 1: Creamsicle is the Scarlet Johansson of owls. 248 00:14:34,880 --> 00:14:37,600 Speaker 2: And and yeah it's beautiful. 249 00:14:37,800 --> 00:14:40,320 Speaker 1: Yeah, like if you know where she is, No you don't, 250 00:14:41,760 --> 00:14:43,040 Speaker 1: No you don't, No you don't. 251 00:14:44,120 --> 00:14:49,320 Speaker 2: Yeah, I yeah. I feel like owls are very you know, solitary, 252 00:14:49,360 --> 00:14:51,760 Speaker 2: and like their silence too. I'm sure they don't want 253 00:14:52,040 --> 00:14:58,120 Speaker 2: swarms of people around them. No, no, they aren't knowing them. Yeah, 254 00:14:58,160 --> 00:15:01,720 Speaker 2: and oh, you know, it's already been through so much. 255 00:15:02,320 --> 00:15:04,200 Speaker 2: It was so exciting to see an orange owl and 256 00:15:04,280 --> 00:15:07,120 Speaker 2: then I was like, oh, yeah, it got hit with plane. 257 00:15:07,440 --> 00:15:10,160 Speaker 1: The good news that the good news is that the 258 00:15:11,000 --> 00:15:16,240 Speaker 1: sort of Michigan Wildlife Conservation group has said that the 259 00:15:16,280 --> 00:15:19,880 Speaker 1: owl appears to be in good health. So great, Creamsicle 260 00:15:19,920 --> 00:15:22,880 Speaker 1: seems fine. I keep saying the owl. We don't actually 261 00:15:22,880 --> 00:15:27,240 Speaker 1: know the owl sex Uh, I'm calling her her because 262 00:15:27,600 --> 00:15:33,200 Speaker 1: she's beautiful, but could could easily be a meal. But yeah, 263 00:15:33,280 --> 00:15:37,400 Speaker 1: so it's doesn't probably not, probably does not care. It's like, 264 00:15:38,040 --> 00:15:40,480 Speaker 1: is that mouse? Is that tasty mouse? No, don't care. 265 00:15:40,760 --> 00:15:42,600 Speaker 2: Yeah, so that's its priority. 266 00:15:42,840 --> 00:15:46,640 Speaker 1: Taste mouse, kill the mouse. No, all right, creamsicle seems 267 00:15:46,640 --> 00:15:47,400 Speaker 1: to be doing fine. 268 00:15:47,840 --> 00:15:48,280 Speaker 2: That's good. 269 00:15:48,400 --> 00:15:52,640 Speaker 1: Probably got pribe, got blasted with the plain juice. 270 00:15:52,840 --> 00:15:54,920 Speaker 2: Yeah. Oh, it's got a cool as as long as 271 00:15:54,920 --> 00:15:57,680 Speaker 2: it's healthy. It's got a cool it's got a cool die. 272 00:15:58,080 --> 00:16:01,240 Speaker 1: It's gotta it's got you know, try something out. It's 273 00:16:01,240 --> 00:16:03,920 Speaker 1: got cool vibes. We saw her across the room and 274 00:16:03,920 --> 00:16:06,880 Speaker 1: we thought you had cool vibes. So but keep it 275 00:16:06,880 --> 00:16:08,720 Speaker 1: across the room. Don't harass this owl. 276 00:16:09,640 --> 00:16:12,440 Speaker 2: Yeah, don't stry anymore playing juice on owls. That seems 277 00:16:12,520 --> 00:16:12,800 Speaker 2: not good. 278 00:16:12,880 --> 00:16:16,840 Speaker 1: That's right. The airport, the local, the Michigan Airport refused 279 00:16:16,840 --> 00:16:17,880 Speaker 1: to comment on the story. 280 00:16:18,000 --> 00:16:21,640 Speaker 2: So they're like, yeah, yeah, we know. 281 00:16:26,280 --> 00:16:30,000 Speaker 1: Owl owl Tinder just dropped, bridget. I know you're like, 282 00:16:30,080 --> 00:16:33,280 Speaker 1: if you're worried about owls finding love, worry no longer. 283 00:16:33,320 --> 00:16:36,800 Speaker 1: Owl tinder is here, thank god. So Western burrowing owls 284 00:16:37,600 --> 00:16:39,720 Speaker 1: are literally the cutest owl in existence. 285 00:16:40,280 --> 00:16:43,000 Speaker 2: They are those are are those? Well? No, not Western? 286 00:16:43,040 --> 00:16:47,600 Speaker 2: I was thinking of the hoot owls from the Carl 287 00:16:47,680 --> 00:16:50,720 Speaker 2: Hyason book. They were in Florida. Those are those are 288 00:16:50,960 --> 00:16:53,880 Speaker 2: that's deep Florida. Lord, that's a he's a Florida author. Okay, 289 00:16:53,920 --> 00:16:56,040 Speaker 2: there was a whole book called in a movie called 290 00:16:56,080 --> 00:16:57,560 Speaker 2: Hoot about burrowing owls. 291 00:16:57,760 --> 00:17:01,440 Speaker 1: Yeah, well, burrowing owls are all gonna be cute though, 292 00:17:01,480 --> 00:17:04,560 Speaker 1: no matter where they are. These ones are Western burrowing 293 00:17:04,600 --> 00:17:08,680 Speaker 1: owls found in California, and they are adorable. They are 294 00:17:09,240 --> 00:17:12,080 Speaker 1: terrestrial owls, which means that I mean they can fly, 295 00:17:12,520 --> 00:17:14,880 Speaker 1: but they burrow. They spend their time in burrows. They 296 00:17:14,880 --> 00:17:17,800 Speaker 1: most spend most of their time on the ground hunting, 297 00:17:18,920 --> 00:17:22,919 Speaker 1: and they are I think the cutest owl in existence. 298 00:17:24,000 --> 00:17:26,520 Speaker 1: Sometimes they lie on their tom tums just to like 299 00:17:28,119 --> 00:17:31,720 Speaker 1: get that, like sunbathe. They're small owls. They're brown with 300 00:17:31,760 --> 00:17:34,800 Speaker 1: these big yellow eyes. They only weigh about five ounces. 301 00:17:34,800 --> 00:17:37,040 Speaker 1: They're truly a handheld owl. 302 00:17:37,640 --> 00:17:38,959 Speaker 2: Yeah, they're little, tiny birds. 303 00:17:39,240 --> 00:17:43,720 Speaker 1: They're owl many and they're super cute. They have this 304 00:17:43,800 --> 00:17:48,040 Speaker 1: perpetual look of either shock, deep a fence, or plane stupidity. 305 00:17:48,160 --> 00:17:51,439 Speaker 1: Usually there's like a trio of them staring at the camera. 306 00:17:51,800 --> 00:17:54,359 Speaker 1: One of them looks angry, one of them looks shocked, 307 00:17:54,359 --> 00:17:56,560 Speaker 1: and the other one looks deeply stupid. I don't know 308 00:17:56,600 --> 00:17:59,800 Speaker 1: how they always manage to get the three three owls 309 00:18:00,119 --> 00:18:05,600 Speaker 1: in a band. Yeah formation I I will have pictures 310 00:18:05,600 --> 00:18:08,520 Speaker 1: of it in the show notes. But I highly recommend 311 00:18:08,600 --> 00:18:14,040 Speaker 1: just googling burrowing owls. They're very silly. Anyways, these little 312 00:18:14,080 --> 00:18:16,800 Speaker 1: dumb dumbs need our help finding love. Uh. This is 313 00:18:16,800 --> 00:18:22,240 Speaker 1: an article in Geo by Kate Ferby, which is the 314 00:18:22,280 --> 00:18:27,000 Speaker 1: perfect name name to be writing about the burrowing owls, which, yeah, 315 00:18:27,119 --> 00:18:30,080 Speaker 1: they are ferbie like they are ferbies, they're real furbies. 316 00:18:31,400 --> 00:18:36,879 Speaker 1: So apparently these owls are Their populations have been declining 317 00:18:37,040 --> 00:18:41,040 Speaker 1: in the San Francisco Bay Area, and one of the 318 00:18:41,119 --> 00:18:45,560 Speaker 1: problems with population decline, especially when it comes to urbanization 319 00:18:45,720 --> 00:18:50,119 Speaker 1: or suburbanization suburban crawl, is that you are kind of 320 00:18:50,320 --> 00:18:53,840 Speaker 1: making these genetic bottlenecks, and so genetic diversity goes down 321 00:18:53,880 --> 00:18:58,320 Speaker 1: in the overall health of the species declines. So owl 322 00:18:58,359 --> 00:19:05,320 Speaker 1: conservationists have created uh basically owl Love Island. So they 323 00:19:05,440 --> 00:19:07,600 Speaker 1: it's a it's a camp for owls where they go 324 00:19:07,680 --> 00:19:10,359 Speaker 1: as juveniles and it's to like they check on their health. 325 00:19:10,520 --> 00:19:13,200 Speaker 1: They ban them. They do like genetic tests and blood 326 00:19:13,240 --> 00:19:15,919 Speaker 1: tests and then like for the winter period because a 327 00:19:15,920 --> 00:19:19,480 Speaker 1: lot of the juveniles are it's still the population in 328 00:19:19,520 --> 00:19:23,480 Speaker 1: this area is still somewhat fragile. So they keep the 329 00:19:23,560 --> 00:19:26,880 Speaker 1: juveniles there over winter in this big bird sanctuary so 330 00:19:26,960 --> 00:19:31,080 Speaker 1: that they're they're grow up nice and healthy. And then 331 00:19:31,280 --> 00:19:37,040 Speaker 1: they play uh like match maker for these birds. 332 00:19:37,640 --> 00:19:37,760 Speaker 2: Uh. 333 00:19:37,960 --> 00:19:41,119 Speaker 1: But they they do it by finding like the least 334 00:19:41,560 --> 00:19:44,720 Speaker 1: in bread match for them. So one of the problems 335 00:19:44,800 --> 00:19:47,960 Speaker 1: when you have a declining population is if the birds 336 00:19:48,440 --> 00:19:52,399 Speaker 1: mate with someone like their cousin, it's not great. Yeah, 337 00:19:52,440 --> 00:19:55,119 Speaker 1: So they're trying, they're trying to get these birds to stop, 338 00:19:55,440 --> 00:20:00,280 Speaker 1: uh stop doing incests, some doing in so they they 339 00:20:00,320 --> 00:20:05,160 Speaker 1: find they find a bird that's like very genetically distant 340 00:20:05,280 --> 00:20:08,200 Speaker 1: from the other bird, pair them up. And when they're 341 00:20:08,240 --> 00:20:11,080 Speaker 1: like when they are in adults and they are released 342 00:20:11,119 --> 00:20:16,439 Speaker 1: from bird love camp. Uh they uh just it's like 343 00:20:16,480 --> 00:20:18,960 Speaker 1: you will ask like, okay, how do you like have 344 00:20:19,160 --> 00:20:21,760 Speaker 1: birds get married? What do you mean like these you're 345 00:20:21,840 --> 00:20:24,320 Speaker 1: matching these birds like they're birds. 346 00:20:24,400 --> 00:20:24,840 Speaker 2: What do you do? 347 00:20:25,280 --> 00:20:27,240 Speaker 1: Yeah, you throw both of them in a hole. 348 00:20:27,640 --> 00:20:31,680 Speaker 2: So yeah, that will do it. 349 00:20:32,040 --> 00:20:35,560 Speaker 1: That'll do. So they they find burrows for these birds 350 00:20:35,560 --> 00:20:38,560 Speaker 1: because they they they like like they either make them 351 00:20:38,720 --> 00:20:42,200 Speaker 1: or find the burrow and they will take them the pair. 352 00:20:42,359 --> 00:20:45,639 Speaker 1: The match set that there's like you are this is this? 353 00:20:45,640 --> 00:20:48,480 Speaker 1: This match pair is the most genetically diverse birds. They're 354 00:20:48,480 --> 00:20:52,440 Speaker 1: the least related. You're not cousins, so congratulations. They stick 355 00:20:52,480 --> 00:20:56,399 Speaker 1: them in the hole, and the birds are like cool 356 00:20:56,440 --> 00:20:59,960 Speaker 1: with it, Like they they're just like okay, because again 357 00:21:00,119 --> 00:21:04,480 Speaker 1: at this point, the yeah, hey you're you live in 358 00:21:04,560 --> 00:21:05,040 Speaker 1: hole too. 359 00:21:05,359 --> 00:21:08,399 Speaker 2: We have so much in common. Yeah, what else do 360 00:21:08,400 --> 00:21:08,800 Speaker 2: you need? This? 361 00:21:09,320 --> 00:21:09,520 Speaker 1: Nice? 362 00:21:09,640 --> 00:21:10,200 Speaker 2: Is it? 363 00:21:10,680 --> 00:21:13,680 Speaker 1: The you're the bird of my dreams. You're also in home. 364 00:21:13,760 --> 00:21:15,000 Speaker 1: I'm in hole. You're in hole. 365 00:21:15,640 --> 00:21:17,160 Speaker 2: It's a nice hole. You want to stay in this hole? 366 00:21:17,200 --> 00:21:20,760 Speaker 1: Fore, yeah, let's just stay in hole together. So like 367 00:21:21,200 --> 00:21:23,600 Speaker 1: it seems to work because again because it's like uh 368 00:21:23,680 --> 00:21:26,640 Speaker 1: it is they're out in wild, in the wild at 369 00:21:26,640 --> 00:21:28,959 Speaker 1: this point, they can do whatever they want. But they're 370 00:21:28,960 --> 00:21:33,000 Speaker 1: pretty happy usually with this match. And they're not always 371 00:21:33,040 --> 00:21:35,439 Speaker 1: like one hundred percent monogamous, but they tend to be 372 00:21:35,520 --> 00:21:38,200 Speaker 1: like they might have like some breeding seasons where they 373 00:21:38,200 --> 00:21:40,359 Speaker 1: go and they like kind of get a hall pass. 374 00:21:40,480 --> 00:21:44,000 Speaker 1: They explore and explore a little bit. It's like an 375 00:21:44,040 --> 00:21:47,520 Speaker 1: open marriage. But like they they they. 376 00:21:47,840 --> 00:21:51,040 Speaker 2: In hole for so long a hole Yeah, it's like 377 00:21:51,200 --> 00:21:53,200 Speaker 2: it's like like I met someone. 378 00:21:55,760 --> 00:22:01,600 Speaker 1: I met someone today who also lives in hole. Right, crazy, right, 379 00:22:02,480 --> 00:22:07,840 Speaker 1: So yeah, they seem to be happy with the matches, 380 00:22:07,920 --> 00:22:12,480 Speaker 1: and apparently this is working like surprisingly well. By diversifying 381 00:22:12,480 --> 00:22:17,080 Speaker 1: their DNA. They this has resulted in their telomeres doubling 382 00:22:17,119 --> 00:22:20,880 Speaker 1: in length, which is really good news for the owl population. Again, 383 00:22:20,960 --> 00:22:23,960 Speaker 1: telomeres are sort of like, it's like this, on the 384 00:22:24,080 --> 00:22:27,880 Speaker 1: end of your your DNA, you have like this strand 385 00:22:28,040 --> 00:22:32,160 Speaker 1: of proteins that don't necessarily do anything, but it's kind 386 00:22:32,200 --> 00:22:33,520 Speaker 1: of like you know how I get on the end 387 00:22:33,520 --> 00:22:37,479 Speaker 1: of your zipper. You have that like long metal thingy 388 00:22:37,760 --> 00:22:40,120 Speaker 1: that like stops the zipper from just like coming off. 389 00:22:40,520 --> 00:22:44,040 Speaker 1: That's what a telomere is. Essentially, It's like a strand 390 00:22:44,080 --> 00:22:49,359 Speaker 1: of proteins that prevents the the things that like run 391 00:22:49,520 --> 00:22:55,240 Speaker 1: around run along the DNA, copying the DNA called like enzymes, 392 00:22:56,080 --> 00:22:59,080 Speaker 1: from basically messing up once it gets to the end 393 00:22:59,119 --> 00:23:02,600 Speaker 1: of it. And so the shorter the telomere, the more 394 00:23:03,000 --> 00:23:06,720 Speaker 1: uh basically the shorter the lifespan of the organism, because 395 00:23:06,720 --> 00:23:08,920 Speaker 1: then you start getting more more and more airs, chance 396 00:23:08,960 --> 00:23:12,919 Speaker 1: of cancer, chance of airs that is uh, incompatible with 397 00:23:13,080 --> 00:23:17,000 Speaker 1: staying alive and so longer telomeres are generally good for 398 00:23:17,080 --> 00:23:21,880 Speaker 1: an animal and uh so yeah, by this this bird 399 00:23:21,920 --> 00:23:27,560 Speaker 1: love Island is creating healthier birds by increasing the bird diversity. 400 00:23:29,080 --> 00:23:33,240 Speaker 2: Hey, it's working. Love Island never works. I love that. 401 00:23:35,440 --> 00:23:41,280 Speaker 2: It feels like summer camp for birds. Like it is. 402 00:23:41,359 --> 00:23:41,760 Speaker 1: Yeah. 403 00:23:41,840 --> 00:23:44,560 Speaker 2: I went to like a sleepway camp that was like 404 00:23:47,080 --> 00:23:50,320 Speaker 2: that felt like this of like find find your nice 405 00:23:50,359 --> 00:23:54,959 Speaker 2: little jewish boy. I went to what this owl camp is? 406 00:23:55,240 --> 00:23:59,119 Speaker 1: I went to a science camp and uh it was, uh, 407 00:23:59,760 --> 00:24:06,119 Speaker 1: you know, nerds are very horny, so famous, surprisingly surprisingly 408 00:24:06,200 --> 00:24:09,119 Speaker 1: horny nerds. I was in the I was in the 409 00:24:09,119 --> 00:24:15,720 Speaker 1: computer science group, and uh yeah, like the I would say, 410 00:24:15,760 --> 00:24:19,440 Speaker 1: probably the probably the horniest group and the least likely 411 00:24:19,480 --> 00:24:20,680 Speaker 1: to do anything about it. 412 00:24:22,760 --> 00:24:26,520 Speaker 2: Yeah. Yeah, they're the computer They're not quite on the 413 00:24:26,560 --> 00:24:32,120 Speaker 2: scale of band nerds. Yes, on the horny scale of. 414 00:24:33,680 --> 00:24:36,959 Speaker 1: But band nerds like get pretty freaky with it. 415 00:24:37,000 --> 00:24:40,960 Speaker 2: I feel like, yeah, yeah they're theater nerds are band 416 00:24:41,040 --> 00:24:43,520 Speaker 2: nerds on the other end, all those spit belts. 417 00:24:43,640 --> 00:24:51,800 Speaker 1: Anyways, Yes, I'm glad they're finding love owl tender is 418 00:24:51,840 --> 00:24:54,760 Speaker 1: working working really well for these burrowing owls, which is 419 00:24:55,080 --> 00:24:55,840 Speaker 1: it's great news. 420 00:24:56,720 --> 00:24:58,680 Speaker 2: So just drop them in a hole with another owl, 421 00:24:58,840 --> 00:24:59,920 Speaker 2: and that rarely work. 422 00:25:00,359 --> 00:25:03,600 Speaker 1: You just drop in. You just drop them in a 423 00:25:03,600 --> 00:25:04,639 Speaker 1: hole with another owl. 424 00:25:05,280 --> 00:25:08,360 Speaker 2: Which you know, if only love were that easy. 425 00:25:08,440 --> 00:25:11,160 Speaker 1: Only maybe maybe it could be, is what I'm saying. 426 00:25:11,440 --> 00:25:15,399 Speaker 1: Maybe maybe it could possibly be. Uh, that's what I 427 00:25:15,400 --> 00:25:17,800 Speaker 1: feel like. I went through with my my husband, like 428 00:25:17,960 --> 00:25:20,119 Speaker 1: we went through the pandemic together, and so it was 429 00:25:20,160 --> 00:25:21,800 Speaker 1: kind of like we were dropped in a hole together, 430 00:25:21,880 --> 00:25:26,000 Speaker 1: and it really I turned to him, I'm like, wait, 431 00:25:26,119 --> 00:25:28,479 Speaker 1: you're in hole too. We have so much in common. 432 00:25:28,520 --> 00:25:29,760 Speaker 1: I'm in hole, You're in hole. 433 00:25:29,800 --> 00:25:32,479 Speaker 2: I'm in Yeah. I think my boyfriend and I came 434 00:25:32,480 --> 00:25:34,520 Speaker 2: out of the other side of the pandemic being like, oh, 435 00:25:34,520 --> 00:25:37,760 Speaker 2: we can be alone together for for three years in 436 00:25:38,320 --> 00:25:41,080 Speaker 2: not going outside. All right, this works, Yeah, this works, 437 00:25:41,160 --> 00:25:42,320 Speaker 2: It works works good. Yeah. 438 00:25:42,800 --> 00:25:49,680 Speaker 1: So that's a that's that's it's it's a good dating strategy. Yeah, invite, 439 00:25:49,800 --> 00:25:52,639 Speaker 1: invite the person that you like to a hole. 440 00:25:53,280 --> 00:25:56,840 Speaker 2: So also, and also when you're this cute. 441 00:25:57,080 --> 00:26:01,480 Speaker 1: Yeah, it's a little baby. Fun fact about baby burrowing owls. 442 00:26:01,560 --> 00:26:04,080 Speaker 1: They can hiss like a rattlesnake to ward off present. 443 00:26:04,520 --> 00:26:06,840 Speaker 1: So they just like a little angry. 444 00:26:07,680 --> 00:26:10,280 Speaker 2: Yeah, they're little. I feel like they don't have Yeah, 445 00:26:10,280 --> 00:26:12,480 Speaker 2: I feel like they don't have a lot of other defenses. 446 00:26:12,880 --> 00:26:17,440 Speaker 1: One of their defenses is stomping snakes. Like if a 447 00:26:17,480 --> 00:26:19,760 Speaker 1: snake tries to get in the row to like get 448 00:26:19,800 --> 00:26:21,320 Speaker 1: the babies, they stomp on them. 449 00:26:21,480 --> 00:26:24,080 Speaker 2: Yeah. Yeah, they do. Got those sharp cloths they do. 450 00:26:24,359 --> 00:26:28,960 Speaker 1: Yeah, they're feisty. They're like little tiny kittens of the 451 00:26:29,440 --> 00:26:34,960 Speaker 1: of the the out the bird kittens, bird kiddies. Indeed, 452 00:26:36,080 --> 00:26:41,760 Speaker 1: last owl story. So, northern spotted owls are at the 453 00:26:41,800 --> 00:26:45,840 Speaker 1: center of a power struggle with the Trump administration. Weird, right, 454 00:26:46,240 --> 00:26:50,040 Speaker 1: resist didn't think I was gonna drop politics in this episode, 455 00:26:50,119 --> 00:26:52,639 Speaker 1: did Boom? Gotcha? 456 00:26:52,720 --> 00:26:57,200 Speaker 2: Welcome to their resistance, Welcome to the owls. 457 00:26:57,800 --> 00:27:01,879 Speaker 1: Yeah, so, I you know, like this is not usually 458 00:27:01,920 --> 00:27:05,359 Speaker 1: a political podcast, but honest, like it has become completely 459 00:27:05,440 --> 00:27:09,440 Speaker 1: unavoidable because of all the stuff happening visa the environment. 460 00:27:10,080 --> 00:27:15,720 Speaker 1: Uh yeah, so yeah, it's everywhere. 461 00:27:15,840 --> 00:27:16,320 Speaker 2: Yeah. 462 00:27:16,440 --> 00:27:21,720 Speaker 1: Anyways, so Trump has invoked a god Squad panel, which 463 00:27:21,760 --> 00:27:26,440 Speaker 1: sounds great. H So this is basically it is a 464 00:27:26,600 --> 00:27:31,439 Speaker 1: panel that relates to the Endangered Species Act. It is 465 00:27:31,720 --> 00:27:35,000 Speaker 1: a group of high level officials who are trying to 466 00:27:35,960 --> 00:27:38,800 Speaker 1: override the Endangered Species Act like a bunch of Captain 467 00:27:38,880 --> 00:27:44,920 Speaker 1: Planet villains. Wow, yeah, sou So. The Endangered Species Act 468 00:27:44,920 --> 00:27:47,359 Speaker 1: includes a provision that allows for some of it to 469 00:27:47,400 --> 00:27:51,000 Speaker 1: be overridden if it is in the public interest. So 470 00:27:51,040 --> 00:27:54,719 Speaker 1: this means like, well, so it's supposed to be only 471 00:27:54,800 --> 00:27:59,520 Speaker 1: applied in very very specific, very rare circumstances. It is 472 00:27:59,760 --> 00:28:04,080 Speaker 1: that has rarely ever happened. Like once it happened because 473 00:28:04,119 --> 00:28:07,960 Speaker 1: there needed to be a dam on a body of 474 00:28:08,000 --> 00:28:11,399 Speaker 1: water and in order and that threatened the whooping crane. 475 00:28:11,480 --> 00:28:14,280 Speaker 1: So in order to do the dam, they had to 476 00:28:14,280 --> 00:28:16,960 Speaker 1: do all of these extra protections for the whooping crane 477 00:28:17,000 --> 00:28:18,399 Speaker 1: or to make up for the fact that they were 478 00:28:18,440 --> 00:28:22,240 Speaker 1: doing this dam. But they needed the dam for either 479 00:28:23,000 --> 00:28:26,480 Speaker 1: I don't know for yeah, for water water, thank you, 480 00:28:26,520 --> 00:28:29,680 Speaker 1: bridget that's the word I was looking for. Uh. And 481 00:28:29,840 --> 00:28:32,000 Speaker 1: so it's really not meant to be used very often, 482 00:28:32,000 --> 00:28:35,640 Speaker 1: but obviously uh in this case, like like the interpretation 483 00:28:35,840 --> 00:28:38,640 Speaker 1: of like in the public interest seems to be now 484 00:28:38,760 --> 00:28:42,160 Speaker 1: like Trump and his rich friends and like wat to 485 00:28:42,320 --> 00:28:47,160 Speaker 1: it exactly, and like the the the villains from Captain Planet, 486 00:28:47,160 --> 00:28:49,959 Speaker 1: whom I forget like doctor pollution or whatever. 487 00:28:50,720 --> 00:28:54,280 Speaker 2: Yeah, but it just doesn't like the look of it anymore. 488 00:28:54,360 --> 00:28:59,200 Speaker 1: Yeah, so uh the basically, yeah, so it should it 489 00:28:59,200 --> 00:29:01,920 Speaker 1: should not, it should not. This God Squad is called 490 00:29:01,920 --> 00:29:04,840 Speaker 1: the God Squad because the ideas like they have the 491 00:29:05,040 --> 00:29:07,080 Speaker 1: god h yeah, yeah, they have the power of life, death, 492 00:29:07,120 --> 00:29:09,480 Speaker 1: the blah blah blah, Jurassic Park, et cetera. 493 00:29:09,680 --> 00:29:16,240 Speaker 2: So cool, not ominous at all onto the significance of 494 00:29:16,280 --> 00:29:18,080 Speaker 2: the northern spotted owls. 495 00:29:18,160 --> 00:29:22,200 Speaker 1: These little guys have this brown coloration and white spots 496 00:29:22,240 --> 00:29:25,960 Speaker 1: with cute, perpetually grumpy white eyebrow markings. 497 00:29:26,280 --> 00:29:29,360 Speaker 2: Most owls do look grumpy, these ones. They are not surprised. 498 00:29:29,520 --> 00:29:33,040 Speaker 1: These ones have the added benefit of having like like 499 00:29:33,200 --> 00:29:37,760 Speaker 1: sort of eyebrows, which make them increase the grumpiness. I'm 500 00:29:37,840 --> 00:29:40,720 Speaker 1: dropping this owl into the document right now. 501 00:29:43,520 --> 00:29:49,520 Speaker 2: Oh that's a grumpy Every animal should have distinctive eyebrows. Yes, 502 00:29:50,040 --> 00:29:54,760 Speaker 2: it makes them so readable. Yes, he looks grumpy, he 503 00:29:54,800 --> 00:29:55,320 Speaker 2: looks angry. 504 00:29:55,360 --> 00:29:57,360 Speaker 1: He's very grumpy and angry. And what I like about 505 00:29:57,400 --> 00:30:01,280 Speaker 1: that is he's basically going no, you don't to do 506 00:30:02,160 --> 00:30:06,240 Speaker 1: yeah to the God squad that's trying to Yeah. So yeah. 507 00:30:07,720 --> 00:30:12,680 Speaker 1: In nineteen ninety two, the gods, the God Squad, tried 508 00:30:12,720 --> 00:30:20,240 Speaker 1: to allow logging despite threats to these Northern spotted owls, 509 00:30:20,280 --> 00:30:23,840 Speaker 1: and the government was sued by environmental groups who said 510 00:30:23,840 --> 00:30:26,840 Speaker 1: that the decision was based on politics rather than science, 511 00:30:27,560 --> 00:30:32,280 Speaker 1: and due to the litigation, the Bureau of Land Management 512 00:30:32,480 --> 00:30:37,160 Speaker 1: withdrew the logging request. So the Northern spotted owls, I 513 00:30:37,280 --> 00:30:40,040 Speaker 1: just imagine them in the courtroom like going like I 514 00:30:40,160 --> 00:30:42,600 Speaker 1: may not be a city city lawyer. 515 00:30:43,760 --> 00:30:47,240 Speaker 2: You know. There is also like something to the markings 516 00:30:47,280 --> 00:30:50,000 Speaker 2: around its face that makes it look like a tough, 517 00:30:50,080 --> 00:30:54,320 Speaker 2: mean judge, whereas a powdered wig. 518 00:30:54,560 --> 00:30:58,160 Speaker 1: Yes, I want I want these owls to be the 519 00:30:58,200 --> 00:31:01,040 Speaker 1: ones leading the process cution at the Hague. 520 00:31:02,000 --> 00:31:05,280 Speaker 2: Yeah, yeah, no, they they have like you look at 521 00:31:05,320 --> 00:31:08,040 Speaker 2: those eyebrows and they are you're not you don't don't 522 00:31:08,400 --> 00:31:11,920 Speaker 2: with me, So I really do. You're not getting away 523 00:31:11,960 --> 00:31:13,600 Speaker 2: with it exactly. 524 00:31:13,680 --> 00:31:18,080 Speaker 1: So I really do like these spotted owls as the 525 00:31:18,120 --> 00:31:25,280 Speaker 1: symbol of resistance to the attack on environmental protections. 526 00:31:26,120 --> 00:31:29,720 Speaker 2: So yeah, following this owl into battle, for sure? 527 00:31:30,000 --> 00:31:34,440 Speaker 1: I would. I would, Yes, I would follow this owl. 528 00:31:35,000 --> 00:31:38,680 Speaker 1: Probably he'd take me to a tree and then up 529 00:31:39,640 --> 00:31:42,920 Speaker 1: a kind of nugget of fur and mouse bones, and 530 00:31:42,920 --> 00:31:47,640 Speaker 1: I'd be like, yeah, you owl for this precious gift. 531 00:31:48,440 --> 00:31:49,800 Speaker 2: I had to dissect one of those. 532 00:31:49,960 --> 00:31:52,840 Speaker 1: Yeah, me too, and I like, I asked my teacher 533 00:31:52,840 --> 00:31:55,320 Speaker 1: if I could keep all the little mousebone parts and 534 00:31:55,360 --> 00:32:00,280 Speaker 1: she was like, yeah, you can. It's not just did 535 00:32:00,280 --> 00:32:02,840 Speaker 1: that you do but you can't? Was like, great, put 536 00:32:02,920 --> 00:32:04,680 Speaker 1: them in my lunch box. Yeah. My mom was like, 537 00:32:05,200 --> 00:32:07,600 Speaker 1: is their mouse bones in your lunchbox? 538 00:32:08,160 --> 00:32:11,440 Speaker 2: You know? Yeah? That's that teacher. How to make a 539 00:32:11,480 --> 00:32:13,720 Speaker 2: make a call based on your vibe of like is 540 00:32:13,720 --> 00:32:15,720 Speaker 2: she doing this because she's interested. 541 00:32:15,440 --> 00:32:20,240 Speaker 1: Or because it was necromancy wants to murder? It was necromancy, 542 00:32:20,360 --> 00:32:24,200 Speaker 1: but the educationalency. 543 00:32:24,760 --> 00:32:28,080 Speaker 2: Yeah, yeah, the cool kind. So yeah, she had to 544 00:32:28,240 --> 00:32:30,520 Speaker 2: make a real vibe decision there on whether you could 545 00:32:30,600 --> 00:32:31,680 Speaker 2: keep the mouse bout. 546 00:32:31,680 --> 00:32:35,400 Speaker 1: And she made the right decision. I grew up, Yeah 547 00:32:35,480 --> 00:32:41,880 Speaker 1: she did almost normal. So last little story here, Bridget 548 00:32:42,360 --> 00:32:45,760 Speaker 1: is about the real life Wild Robot. Did you see 549 00:32:45,760 --> 00:32:46,959 Speaker 1: that movie Wild Robot? 550 00:32:47,280 --> 00:32:49,440 Speaker 2: I did? And oh I love that. 551 00:32:49,920 --> 00:32:53,080 Speaker 1: It got me too. I love it so much. I 552 00:32:53,200 --> 00:32:57,360 Speaker 1: freaking love the movie. It's so good. It's scientifically questionable. 553 00:32:57,400 --> 00:32:59,960 Speaker 1: I don't know what the animals man are at the end. 554 00:33:00,200 --> 00:33:02,400 Speaker 1: All the animals get along on the island. I don't 555 00:33:02,400 --> 00:33:04,160 Speaker 1: know what they're eating, if not each other. 556 00:33:04,680 --> 00:33:08,120 Speaker 2: But but you know, friendship, the power of friendship. 557 00:33:08,880 --> 00:33:12,200 Speaker 1: Friendship. Maybe they have a system where like the old 558 00:33:12,240 --> 00:33:14,480 Speaker 1: ones giddy. 559 00:33:14,160 --> 00:33:18,080 Speaker 2: I don't know, it's like a donner party, right, or 560 00:33:18,280 --> 00:33:19,360 Speaker 2: like I worked it out. 561 00:33:19,360 --> 00:33:22,840 Speaker 1: Yeah, or like Midsummer Midsummer where the old where the 562 00:33:22,880 --> 00:33:26,360 Speaker 1: old the old people get thrown off a cliff, but 563 00:33:26,400 --> 00:33:32,120 Speaker 1: in this case the old animals. Anyways, The Wild Robot 564 00:33:32,200 --> 00:33:34,520 Speaker 1: was a really adorable movie. I loved it. There's a 565 00:33:34,560 --> 00:33:39,480 Speaker 1: real life Wild Robot situation going on. The Chingolo is 566 00:33:39,600 --> 00:33:43,960 Speaker 1: a tiny South American sparrow with rusty coloration, uh which 567 00:33:44,040 --> 00:33:49,280 Speaker 1: its population is in decline, but which is a problem 568 00:33:49,440 --> 00:33:52,840 Speaker 1: because do the habitat loss and population decline, some of 569 00:33:52,880 --> 00:33:58,520 Speaker 1: the young chingolos are left without adult birds to tutor them, uh, 570 00:33:58,520 --> 00:34:03,320 Speaker 1: to teach them how to sing because younger yes, songbirds 571 00:34:03,880 --> 00:34:07,560 Speaker 1: aren't pre programmed with the songs. They actually learn them 572 00:34:07,680 --> 00:34:11,400 Speaker 1: from older birds. They're pre programmed with the ability to 573 00:34:11,520 --> 00:34:14,560 Speaker 1: learn the songs, but they actually have to learn them. 574 00:34:14,920 --> 00:34:17,920 Speaker 1: And so if there's too much habitat loss, not a 575 00:34:17,960 --> 00:34:21,120 Speaker 1: high enough population density of birds, they may not learn 576 00:34:21,719 --> 00:34:24,680 Speaker 1: the full song. So there's the complexity of this song 577 00:34:24,960 --> 00:34:29,000 Speaker 1: is starting to decay, and so researchers and conservationists got 578 00:34:29,000 --> 00:34:34,879 Speaker 1: together and created a bird tutor robot, which is basically 579 00:34:35,040 --> 00:34:37,680 Speaker 1: like it sounds like it's going to be a cute 580 00:34:37,719 --> 00:34:39,719 Speaker 1: like robotic bird, it's. 581 00:34:39,520 --> 00:34:42,200 Speaker 2: More just it's like a speaker. 582 00:34:42,440 --> 00:34:44,640 Speaker 1: It's more of a speaker. But the thing is it's 583 00:34:44,640 --> 00:34:48,400 Speaker 1: a fancy speaker because it's not just playing pre recorded 584 00:34:48,440 --> 00:34:54,080 Speaker 1: bird songs. They trained a model to learn how the 585 00:34:54,360 --> 00:34:58,720 Speaker 1: song used to be based on old recordings, on old notes, 586 00:34:59,080 --> 00:35:01,080 Speaker 1: so that they could create a very not just like 587 00:35:01,120 --> 00:35:04,520 Speaker 1: a kind of bad recording or something, but to create 588 00:35:04,560 --> 00:35:07,520 Speaker 1: a really clear song and one that they can like, 589 00:35:07,840 --> 00:35:11,880 Speaker 1: you know, add variations to that that existed in the 590 00:35:11,920 --> 00:35:12,560 Speaker 1: older song. 591 00:35:13,680 --> 00:35:19,280 Speaker 2: And uh so they songwriters, okay. 592 00:35:18,920 --> 00:35:23,480 Speaker 1: Ai, songwriters are are saving birds. I mean it is 593 00:35:23,800 --> 00:35:26,960 Speaker 1: it is. I think it is a a It's one 594 00:35:26,960 --> 00:35:29,440 Speaker 1: of the applications where it's like, this is what we 595 00:35:29,480 --> 00:35:35,759 Speaker 1: should be using, yes, exactly, uh a tool. Yes. So 596 00:35:36,360 --> 00:35:38,800 Speaker 1: it seems like some of the young birds are learning 597 00:35:38,920 --> 00:35:43,320 Speaker 1: from the song robots and have started incorporating the old 598 00:35:43,400 --> 00:35:45,879 Speaker 1: complexity of the songs into their song. So it does 599 00:35:45,920 --> 00:35:48,200 Speaker 1: seem to be working. And this is happening in the 600 00:35:48,239 --> 00:35:53,640 Speaker 1: in Buenos Aires in Peri aira Erolla Park. So just 601 00:35:53,840 --> 00:35:55,799 Speaker 1: you know a little bit of a little I like 602 00:35:55,880 --> 00:35:58,200 Speaker 1: to I like to judge up the end with a 603 00:35:58,200 --> 00:35:59,399 Speaker 1: little bit of good news there. 604 00:36:00,480 --> 00:36:05,239 Speaker 2: Yeah, that's that's sweet. One technology doing what it is 605 00:36:05,239 --> 00:36:09,359 Speaker 2: supposed to do, helping organic species. There we go. 606 00:36:09,640 --> 00:36:12,880 Speaker 1: This is what Yeah, this is what we're supposed to 607 00:36:12,880 --> 00:36:17,719 Speaker 1: be doing with technology, but not laying off artists so 608 00:36:17,760 --> 00:36:21,840 Speaker 1: that we can have a movie posters with people with 609 00:36:22,080 --> 00:36:27,319 Speaker 1: like seventy five teeth, extra fingernails and like a nostril 610 00:36:28,640 --> 00:36:29,200 Speaker 1: in their eye. 611 00:36:29,280 --> 00:36:34,239 Speaker 2: Bill, yeah, something with something off. Just yeah, teach the 612 00:36:34,280 --> 00:36:40,000 Speaker 2: birds music again exactly. Yeah, And I feel like this 613 00:36:40,080 --> 00:36:41,960 Speaker 2: is it's like baby Einstein for birds. 614 00:36:42,200 --> 00:36:42,560 Speaker 1: It is. 615 00:36:42,600 --> 00:36:46,759 Speaker 2: They're like, yeah that like reading comprehension is going down 616 00:36:46,760 --> 00:36:50,480 Speaker 2: in younger generations, same with birds, but they figured it out. 617 00:36:50,600 --> 00:36:51,840 Speaker 2: They're learning again. 618 00:36:52,120 --> 00:36:54,320 Speaker 1: The implication is we could also be teaching these birds 619 00:36:54,360 --> 00:36:58,760 Speaker 1: Taylor Swift songs and be able to go to the rainforest. 620 00:36:58,880 --> 00:37:03,279 Speaker 1: Ye hear's some good dead poets society. 621 00:37:02,080 --> 00:37:05,600 Speaker 2: Right, So yeah, you know, you never you don't have 622 00:37:05,640 --> 00:37:09,719 Speaker 2: to listen to someone else hiking with a bluetooth speaker anymore. Yeah, 623 00:37:09,760 --> 00:37:10,520 Speaker 2: it's just the bird. 624 00:37:10,719 --> 00:37:13,440 Speaker 1: Yeah, although I guess like if that happens enough, the 625 00:37:13,440 --> 00:37:16,240 Speaker 1: birds are gonna start learning whatever is on those awful 626 00:37:16,239 --> 00:37:19,880 Speaker 1: bluetooth speakers. Don't do that, folks. Yeah, not only is 627 00:37:19,920 --> 00:37:23,320 Speaker 1: it being for other hikers, it's also uh not great 628 00:37:23,400 --> 00:37:27,640 Speaker 1: for the birds. They don't it's going to confuse them. 629 00:37:28,360 --> 00:37:31,000 Speaker 2: Yeah, headphones, we don't want to and you don't not 630 00:37:31,040 --> 00:37:32,799 Speaker 2: ever snarr music. All right. 631 00:37:32,840 --> 00:37:34,919 Speaker 1: Before we go, we got to play a quick little game. 632 00:37:34,960 --> 00:37:37,000 Speaker 1: This is called Gifts Who Squawk in the Mystery Animals 633 00:37:37,040 --> 00:37:39,399 Speaker 1: sound game. Every week we play a mystery animal sound 634 00:37:39,400 --> 00:37:40,920 Speaker 1: and you the listener, and you the guests, try to 635 00:37:40,920 --> 00:37:44,640 Speaker 1: guess who was making that sound. Last week that sound 636 00:37:45,560 --> 00:37:47,640 Speaker 1: hint was this This little baby does not want to 637 00:37:47,680 --> 00:37:55,640 Speaker 1: be hung out to dry. All right, Bridget did you 638 00:37:55,680 --> 00:37:57,960 Speaker 1: hear those those little plaintive cries? 639 00:37:59,760 --> 00:38:04,759 Speaker 2: Yeah? Yeah, My guess is based off the clue, and 640 00:38:04,800 --> 00:38:05,640 Speaker 2: it is some sort of. 641 00:38:05,600 --> 00:38:10,359 Speaker 1: Bat It's a It's a very good guess based on 642 00:38:10,719 --> 00:38:13,759 Speaker 1: my clue. But sadly I think I was a little 643 00:38:13,760 --> 00:38:19,400 Speaker 1: misleading with it. No, this is the call of an otter. 644 00:38:19,640 --> 00:38:24,040 Speaker 1: It's a baby otter. Sometimes baby otters are left by 645 00:38:24,080 --> 00:38:27,839 Speaker 1: their mothers to float. Often the mothers will kind of 646 00:38:28,040 --> 00:38:30,600 Speaker 1: entangle them with floating kelp so that they don't drift 647 00:38:30,640 --> 00:38:33,640 Speaker 1: away and they cry like this so their mothers know 648 00:38:33,719 --> 00:38:36,799 Speaker 1: where to find them, so they have it. So if 649 00:38:36,800 --> 00:38:39,680 Speaker 1: you ever hear like you're out on a boat out 650 00:38:39,719 --> 00:38:43,000 Speaker 1: on sea and then you hear a baby crying, I mean, 651 00:38:43,040 --> 00:38:45,200 Speaker 1: it could be a baby if you have one with you, 652 00:38:45,400 --> 00:38:47,239 Speaker 1: but it also could be a baby otter. 653 00:38:48,640 --> 00:38:52,160 Speaker 2: Yeah, oh god, I love otters so much. If I 654 00:38:52,160 --> 00:38:53,680 Speaker 2: could just hold one's little hand. 655 00:38:53,760 --> 00:38:57,080 Speaker 1: I know, and they would probably they might, they might 656 00:38:57,120 --> 00:39:01,680 Speaker 1: hold your hand back. Uh yeah, so cute. Uh So 657 00:39:02,080 --> 00:39:07,520 Speaker 1: onto this week's uh mystery animal sound. Uh the hint 658 00:39:07,640 --> 00:39:10,799 Speaker 1: is this. Uh, I don't mean to bring religion into this, 659 00:39:22,800 --> 00:39:26,279 Speaker 1: all right, Bridge, you hear that weird sound that was? 660 00:39:26,560 --> 00:39:27,799 Speaker 2: That was a wild one. 661 00:39:28,200 --> 00:39:30,960 Speaker 1: And you got any guesses? 662 00:39:33,120 --> 00:39:36,120 Speaker 2: Uh again, my my guesses will be very basic and 663 00:39:37,080 --> 00:39:39,240 Speaker 2: I'm gonna I'm gonna go wail. 664 00:39:40,000 --> 00:39:43,319 Speaker 1: That's a very interesting guess and we will find out 665 00:39:43,640 --> 00:39:47,200 Speaker 1: next time on Creature Feature. She's correct, Richard, Thank you 666 00:39:47,239 --> 00:39:50,080 Speaker 1: so much for joining me today. Where can we? Where 667 00:39:50,080 --> 00:39:52,320 Speaker 1: can the people find you? 668 00:39:52,320 --> 00:39:55,680 Speaker 2: You can find me on Instagram. Sarah and I my 669 00:39:55,680 --> 00:39:58,960 Speaker 2: my co host Small Beans Network post chef to our 670 00:39:59,040 --> 00:40:03,080 Speaker 2: Instagram bs podcasting and you can also find me personally 671 00:40:03,120 --> 00:40:08,520 Speaker 2: there at bridget Underscore Greenberg. Then you'll post what I'm 672 00:40:08,600 --> 00:40:10,720 Speaker 2: up to when things happened. 673 00:40:10,880 --> 00:40:13,960 Speaker 1: Do check that out. Bridget is delightful in all of 674 00:40:13,960 --> 00:40:17,320 Speaker 1: her works. And thank you guys so much for listening. 675 00:40:17,520 --> 00:40:19,200 Speaker 1: If if you're enjoying the show and you leave the 676 00:40:19,280 --> 00:40:21,880 Speaker 1: rating or review, that always helps me out and I 677 00:40:21,920 --> 00:40:24,440 Speaker 1: read all of them. And thanks to the space Cossics 678 00:40:24,440 --> 00:40:27,120 Speaker 1: for their super awesome song exce Aluminus Creature features a 679 00:40:27,120 --> 00:40:29,719 Speaker 1: production of iHeartRadio. For more podcasts like the one you 680 00:40:29,760 --> 00:40:32,880 Speaker 1: just heard, visit the iHeartRadio app Apple podcasts. Are You Kiss? 681 00:40:32,880 --> 00:40:35,520 Speaker 1: For reculous your favorite shows. I'm not your mother, can't 682 00:40:35,520 --> 00:40:40,160 Speaker 1: tell you what to do. Don't harass Orange Owls though, 683 00:40:40,760 --> 00:40:44,400 Speaker 1: don't do it. Don't do it. See you next Wednesday.