1 00:00:06,800 --> 00:00:10,400 Speaker 1: Welcome to Creature Future production of iHeartRadio. I'm your host 2 00:00:10,440 --> 00:00:15,000 Speaker 1: of Many Parasites, Katie Golden. I studied psychology and evolutionary biology, 3 00:00:15,000 --> 00:00:18,279 Speaker 1: and today on the show you Yes, you can be 4 00:00:18,320 --> 00:00:22,360 Speaker 1: a citizen scientist this spring and summer. There are things 5 00:00:22,400 --> 00:00:25,800 Speaker 1: to look out for in your own backyards. I am 6 00:00:25,840 --> 00:00:29,240 Speaker 1: talking about special events that are current, that are happening 7 00:00:29,280 --> 00:00:32,320 Speaker 1: now or in a few weeks, that you can keep 8 00:00:32,400 --> 00:00:35,839 Speaker 1: alert to in your backyard. Well, if you live in 9 00:00:35,960 --> 00:00:40,400 Speaker 1: North America, in certain locations, but in general, you can 10 00:00:40,440 --> 00:00:44,120 Speaker 1: be a citizen scientist. That means observing animals and then 11 00:00:44,240 --> 00:00:50,040 Speaker 1: making reports to various research institutions, to things like eye naturalists, 12 00:00:50,320 --> 00:00:54,360 Speaker 1: and this actually really helps researchers. So we are gonna 13 00:00:54,360 --> 00:00:57,800 Speaker 1: be talking about new birds. We're gonna be talking about 14 00:00:58,360 --> 00:01:02,520 Speaker 1: incredible broods. We're going to talk about something that was 15 00:01:02,600 --> 00:01:05,479 Speaker 1: discovered by citizen scientists that sounds like it came out 16 00:01:05,640 --> 00:01:10,319 Speaker 1: of the horror game Slash TV show The Last of 17 00:01:10,440 --> 00:01:14,679 Speaker 1: Us Discover This and more as we answer the age 18 00:01:14,720 --> 00:01:18,080 Speaker 1: old question when is it a good time for your 19 00:01:18,120 --> 00:01:21,160 Speaker 1: butt to be a fun guy? Joining me today is 20 00:01:21,480 --> 00:01:24,320 Speaker 1: voice actress, host of the JV Club and a ton 21 00:01:24,360 --> 00:01:27,680 Speaker 1: of other podcasts. Janet Varney welcome. 22 00:01:28,720 --> 00:01:31,120 Speaker 2: Thank you so much. I wasn't sure if I was 23 00:01:31,160 --> 00:01:32,800 Speaker 2: allowed to laugh when you said can you be a 24 00:01:32,800 --> 00:01:35,959 Speaker 2: fun guy and win? And so last that giggle. 25 00:01:36,240 --> 00:01:38,440 Speaker 1: Laughter is not allowed, not permitted. 26 00:01:38,760 --> 00:01:40,600 Speaker 2: This is a very serious. 27 00:01:41,040 --> 00:01:41,640 Speaker 1: Very serious. 28 00:01:41,800 --> 00:01:42,920 Speaker 2: I'm reaching our contract. 29 00:01:43,120 --> 00:01:45,880 Speaker 1: Yeah, it's a very serious science show. No laughter, no fun, 30 00:01:46,319 --> 00:01:53,480 Speaker 1: everything's really dry. I'm so excited to have you suggested. 31 00:01:54,600 --> 00:01:57,280 Speaker 1: I really liked your topic suggestion, which is talking about 32 00:01:57,360 --> 00:02:00,440 Speaker 1: like the kinds of animals that you can find sort 33 00:02:00,440 --> 00:02:04,360 Speaker 1: of in your own city, in your own backyard. And 34 00:02:04,560 --> 00:02:07,640 Speaker 1: I really love this concept, and I love the way 35 00:02:07,800 --> 00:02:11,840 Speaker 1: in which that people like you and me can engage 36 00:02:11,880 --> 00:02:15,200 Speaker 1: in science. Because I am a science communicator. I'm not 37 00:02:15,240 --> 00:02:19,280 Speaker 1: a scientist. I don't do research, but do I take 38 00:02:19,320 --> 00:02:23,800 Speaker 1: photos of animals and then send them to a naturalist 39 00:02:24,120 --> 00:02:27,720 Speaker 1: or to researchers who I know are looking for these photos. 40 00:02:27,760 --> 00:02:30,760 Speaker 1: I don't send them randomly to people who don't know 41 00:02:30,800 --> 00:02:34,239 Speaker 1: what's going on, but yes I do. And it's really fun, 42 00:02:35,000 --> 00:02:38,640 Speaker 1: it's really exciting. Like once I snapped a photo of 43 00:02:38,800 --> 00:02:42,680 Speaker 1: alligator lizards mating, so I sent it to Greg Pauley. 44 00:02:42,800 --> 00:02:48,680 Speaker 1: He's a herpetologist at the the LA Natural History Museum, 45 00:02:48,960 --> 00:02:52,360 Speaker 1: and you know, it's it's amazing. It's it's so cool 46 00:02:52,360 --> 00:02:55,040 Speaker 1: to be able to interact with scientists and with science 47 00:02:55,040 --> 00:02:57,320 Speaker 1: and research this way and it's actually really helpful. 48 00:02:58,400 --> 00:03:01,919 Speaker 2: Yeah, that's totally awesome. We have in our I live 49 00:03:02,040 --> 00:03:06,040 Speaker 2: right near Griffith Park in Los Angeles, and there's like 50 00:03:06,160 --> 00:03:08,640 Speaker 2: a ton of, you know, kind of public facing stuff 51 00:03:08,680 --> 00:03:10,079 Speaker 2: that you can do to get involved in. One of 52 00:03:10,120 --> 00:03:12,560 Speaker 2: the things that we do, not just in Griffith Park 53 00:03:12,560 --> 00:03:16,360 Speaker 2: but in my own neighborhood is Raptor Watch, is you know, 54 00:03:16,880 --> 00:03:20,520 Speaker 2: keeping your eyes on searchin raptors' nests and reporting back. 55 00:03:21,200 --> 00:03:22,799 Speaker 2: I'm gone a lot, so I haven't been able to 56 00:03:22,800 --> 00:03:24,200 Speaker 2: sign up because the last thing I want to do 57 00:03:24,360 --> 00:03:27,560 Speaker 2: is like not show up for something that wonderful and 58 00:03:27,600 --> 00:03:29,880 Speaker 2: important raptor d I don't want to fail rapt duty. 59 00:03:30,200 --> 00:03:34,000 Speaker 2: But but you're right, the feeling of knowing that, like 60 00:03:34,280 --> 00:03:37,560 Speaker 2: you're engaging with your environment and you're even helping us 61 00:03:37,560 --> 00:03:39,760 Speaker 2: better understand our environment and respect it and all that 62 00:03:39,800 --> 00:03:41,480 Speaker 2: kind of stuff is like the coolest. 63 00:03:42,040 --> 00:03:45,000 Speaker 1: Well, so I have exciting news for you because this 64 00:03:45,080 --> 00:03:47,960 Speaker 1: is something that is actually in your neck of the woods. 65 00:03:48,120 --> 00:03:53,960 Speaker 1: This is a a new bird just dropped in southern California. 66 00:03:54,840 --> 00:03:55,800 Speaker 2: They dropped a new bird. 67 00:03:55,840 --> 00:03:59,760 Speaker 1: They they released a new bird. Kind of literally, I'll 68 00:03:59,760 --> 00:04:02,840 Speaker 1: ex plane. So there is a small bird called swin 69 00:04:02,960 --> 00:04:06,600 Speaker 1: Hoe's White Eye. It is a little little guy. It's 70 00:04:06,640 --> 00:04:10,720 Speaker 1: like smaller than a playing card. It's got this cute 71 00:04:10,720 --> 00:04:15,320 Speaker 1: little tan belly, this chartreuse head, wings and butt, and 72 00:04:15,360 --> 00:04:21,240 Speaker 1: then this beautiful, vague, glamorous white eyeliner. So it does 73 00:04:21,360 --> 00:04:24,360 Speaker 1: it is. These are cute little guys and they are 74 00:04:24,520 --> 00:04:25,880 Speaker 1: killing it with that eyeliner. 75 00:04:27,080 --> 00:04:28,960 Speaker 2: They really are. This is this is a this is 76 00:04:29,000 --> 00:04:33,040 Speaker 2: a hot look. I love it. These I did not really, 77 00:04:33,080 --> 00:04:35,039 Speaker 2: you know, from just thinking about scale, from looking at 78 00:04:35,040 --> 00:04:37,599 Speaker 2: the photo initially, I did not realize they were that tiny? 79 00:04:37,600 --> 00:04:41,440 Speaker 2: Are they? They look sort of goldfinchy, but not is there? Yeah? 80 00:04:41,520 --> 00:04:43,920 Speaker 2: Is that that? Maybe that's what I because we have 81 00:04:43,960 --> 00:04:47,360 Speaker 2: with tons of goldfinches, so hopefully I won't mistake, uh, 82 00:04:47,400 --> 00:04:49,960 Speaker 2: this little guy for a goldfinch and then not not 83 00:04:50,520 --> 00:04:51,960 Speaker 2: appreciate how special it is. 84 00:04:52,240 --> 00:04:55,360 Speaker 1: I mean it's that I think that greeny tinge and 85 00:04:55,400 --> 00:05:00,320 Speaker 1: that white around the eye is yea yeah, yeah, I've 86 00:05:00,400 --> 00:05:03,520 Speaker 1: tried before using white eyeliner. I did it, did not 87 00:05:03,640 --> 00:05:04,359 Speaker 1: work for me. 88 00:05:04,800 --> 00:05:06,080 Speaker 2: Oh me, neither. 89 00:05:06,440 --> 00:05:09,159 Speaker 1: I think it's like, I mean, you know, I think 90 00:05:09,200 --> 00:05:12,920 Speaker 1: both of our complexions are you know, easily washed out 91 00:05:13,040 --> 00:05:17,440 Speaker 1: by say like hey, it's like I'm already very pale. 92 00:05:17,560 --> 00:05:20,080 Speaker 1: If I add white eye learner to it, it doesn't work. 93 00:05:20,120 --> 00:05:23,359 Speaker 1: But if our skin was shartruths like this, yeah, I 94 00:05:23,360 --> 00:05:24,160 Speaker 1: think it would work. 95 00:05:25,600 --> 00:05:28,440 Speaker 2: I've never wanted your true skin more or at all, 96 00:05:29,000 --> 00:05:30,919 Speaker 2: now I do, so. 97 00:05:31,240 --> 00:05:31,440 Speaker 1: Yeah. 98 00:05:31,520 --> 00:05:32,599 Speaker 2: I love this little critter. 99 00:05:32,720 --> 00:05:35,200 Speaker 1: They're very, very pretty, and if you are a bird 100 00:05:35,240 --> 00:05:39,279 Speaker 1: watcher or backyard birder, or just general bird appreciator in 101 00:05:39,440 --> 00:05:45,200 Speaker 1: southern California, you may spot them, especially in a tree 102 00:05:45,240 --> 00:05:50,000 Speaker 1: that has flowers or berries. They often like to sip 103 00:05:50,120 --> 00:05:53,919 Speaker 1: nectar or eat berries. Even like hunting bird feeders, if 104 00:05:53,960 --> 00:05:55,520 Speaker 1: you have them, you might catch one of them. 105 00:05:55,560 --> 00:05:57,280 Speaker 2: Sort of, that was my next question. 106 00:05:57,440 --> 00:06:01,600 Speaker 1: Okay, And they don't have that really long beak that 107 00:06:01,640 --> 00:06:04,159 Speaker 1: the hummingbird has, so they can't get quite as deep, 108 00:06:05,120 --> 00:06:07,440 Speaker 1: but they still do have a bit of a beak, 109 00:06:07,480 --> 00:06:09,360 Speaker 1: and it's a little curb so they can get in 110 00:06:09,400 --> 00:06:11,600 Speaker 1: there a little bit. You can kind of It's interesting 111 00:06:11,640 --> 00:06:15,040 Speaker 1: because you can see these nectivorous birds like this one 112 00:06:15,080 --> 00:06:17,520 Speaker 1: that sip nectar, and you can see the beak it's 113 00:06:17,560 --> 00:06:21,080 Speaker 1: like kind of long, a little bit pointy, but many 114 00:06:21,120 --> 00:06:25,080 Speaker 1: stages away from the hummingbird. But you can see that 115 00:06:25,160 --> 00:06:27,680 Speaker 1: like maybe evolutionary path of this bird could have been 116 00:06:28,279 --> 00:06:31,760 Speaker 1: maybe similar to a hummingbird's ancestor, with a shorter beak 117 00:06:31,800 --> 00:06:33,920 Speaker 1: but still zipping nectar. 118 00:06:34,920 --> 00:06:38,240 Speaker 2: Sure, and just because I don't want anyone to worry 119 00:06:38,240 --> 00:06:41,240 Speaker 2: that you have an expert by any means in any 120 00:06:41,240 --> 00:06:44,840 Speaker 2: way on the show, I'm happy to represent the most 121 00:06:45,040 --> 00:06:50,960 Speaker 2: rudimentary of enthusiasts. But so a bird like this, like 122 00:06:51,000 --> 00:06:52,719 Speaker 2: with a hummingbird, they don't don't they have like a 123 00:06:52,720 --> 00:06:55,640 Speaker 2: little tongue that was also involved in the beak. But 124 00:06:55,720 --> 00:06:59,400 Speaker 2: this with this little character, is he or she uh 125 00:06:59,600 --> 00:07:02,360 Speaker 2: sip with like is a tongue in play or is 126 00:07:02,400 --> 00:07:03,479 Speaker 2: it mostly beak action? 127 00:07:03,640 --> 00:07:06,160 Speaker 1: Okay, yes, yes, that tongue is going to help them sip. 128 00:07:06,200 --> 00:07:09,000 Speaker 1: It's not not quite as long in fancy as the hummingbird, 129 00:07:09,360 --> 00:07:12,480 Speaker 1: but that narrow beak a little bit curved and then 130 00:07:12,640 --> 00:07:14,440 Speaker 1: a little bit of tongue action is going to help 131 00:07:14,480 --> 00:07:19,760 Speaker 1: them draw up nectar into their beak. Cool and so, 132 00:07:19,920 --> 00:07:23,440 Speaker 1: but they're unlike hummingbirds, they can also they can diversify, 133 00:07:23,520 --> 00:07:26,160 Speaker 1: so they can eat berries, which you know, can open 134 00:07:26,200 --> 00:07:29,400 Speaker 1: and close their mouth pretty easily and snap up a berry. 135 00:07:30,320 --> 00:07:32,640 Speaker 1: And so yeah, if you have like a lot of 136 00:07:32,680 --> 00:07:36,520 Speaker 1: like flowering lush plants in your area, you may spot 137 00:07:36,560 --> 00:07:40,720 Speaker 1: one of these. But here's the catch. They are not 138 00:07:40,760 --> 00:07:44,360 Speaker 1: really supposed to be in southern California. They are from 139 00:07:44,480 --> 00:07:50,040 Speaker 1: East and Southeast Asia, completely across the world. So, Janet, 140 00:07:50,120 --> 00:07:52,600 Speaker 1: I want you to guess how they might have gotten 141 00:07:52,960 --> 00:07:55,640 Speaker 1: to southern California. 142 00:07:55,800 --> 00:08:04,800 Speaker 2: Well, I'm gonna say, not, Migraine, I'm gonna say brought 143 00:08:04,840 --> 00:08:10,240 Speaker 2: over to ce commercially, perhaps like seeing that there was 144 00:08:10,280 --> 00:08:14,200 Speaker 2: some incentive there. It's harder for me to imagine somehow 145 00:08:14,320 --> 00:08:17,400 Speaker 2: these ending up on like a cargo ship just randomly 146 00:08:17,400 --> 00:08:19,800 Speaker 2: and like building a nest and hanging out there. So 147 00:08:20,120 --> 00:08:22,640 Speaker 2: I guess that's my That will be my guess. That 148 00:08:22,760 --> 00:08:24,800 Speaker 2: is absolutely correct, all right. 149 00:08:24,800 --> 00:08:28,440 Speaker 1: These little guys. The thought it's not exactly known, but 150 00:08:28,800 --> 00:08:32,319 Speaker 1: the leading theory is that they escaped from the pet 151 00:08:32,360 --> 00:08:38,040 Speaker 1: trade in Orange County, California. And so we actually have 152 00:08:38,160 --> 00:08:42,680 Speaker 1: another bird, the Chevron parakeep, that also escaped the pet trade, 153 00:08:42,679 --> 00:08:46,800 Speaker 1: and you can see it all over southern California, but 154 00:08:47,040 --> 00:08:51,880 Speaker 1: this one is much more recent, So this came around 155 00:08:52,000 --> 00:08:56,520 Speaker 1: two thousand and six, and they've been in southern California 156 00:08:56,559 --> 00:09:01,480 Speaker 1: since and six. But recently they're population seems to have 157 00:09:01,559 --> 00:09:06,040 Speaker 1: a big boom. There's been many more reported sightings. It 158 00:09:06,120 --> 00:09:11,360 Speaker 1: seems like they are finding their niche and reproducing quite 159 00:09:11,360 --> 00:09:15,240 Speaker 1: a bit. So there's always like, so they are an 160 00:09:15,280 --> 00:09:19,240 Speaker 1: invasive species, but invasive species can range in terms of 161 00:09:19,280 --> 00:09:22,920 Speaker 1: how bad they are right in terms of like how 162 00:09:23,000 --> 00:09:28,400 Speaker 1: much they impact local flora fauna, how they impact the plants, 163 00:09:28,440 --> 00:09:33,480 Speaker 1: how they impact other birds, other animals, because like they 164 00:09:33,520 --> 00:09:37,760 Speaker 1: can either directly, you know, safe overfeed on berries or 165 00:09:37,800 --> 00:09:42,000 Speaker 1: overfeed on plants and then cause damage to native plants, 166 00:09:42,200 --> 00:09:47,600 Speaker 1: or they can outcompete native birds, other or insects or something. 167 00:09:47,640 --> 00:09:49,959 Speaker 1: So there are a lot of factors in terms of 168 00:09:50,280 --> 00:09:52,800 Speaker 1: how they could have an effect, but so far we 169 00:09:52,840 --> 00:09:56,240 Speaker 1: don't actually know if they are having a negative effect 170 00:09:56,400 --> 00:10:00,960 Speaker 1: on the local native plants and animals. 171 00:10:01,920 --> 00:10:04,480 Speaker 2: So they are like a kind of the opposite end 172 00:10:04,520 --> 00:10:07,400 Speaker 2: of the known spectrum at this time than say the 173 00:10:07,440 --> 00:10:10,599 Speaker 2: feral cat in Australia, which I was just reading about 174 00:10:10,800 --> 00:10:13,240 Speaker 2: and feeling very bad for the Bilby's. 175 00:10:13,040 --> 00:10:14,839 Speaker 1: Yeah, the Bilby's. 176 00:10:15,880 --> 00:10:19,960 Speaker 2: So cute in the side, But boy, oh boy, are 177 00:10:19,960 --> 00:10:20,440 Speaker 2: they cute. 178 00:10:20,720 --> 00:10:24,120 Speaker 1: I judge an animal in terms of their cuteness mostly 179 00:10:24,120 --> 00:10:27,480 Speaker 1: by the nose. The snoop is a very important factor 180 00:10:27,520 --> 00:10:28,319 Speaker 1: in the cuteness. 181 00:10:28,480 --> 00:10:31,199 Speaker 2: I would say, ears and snoop, and this one has 182 00:10:31,240 --> 00:10:33,920 Speaker 2: both very adorable ears, very adorable snoop. 183 00:10:33,960 --> 00:10:36,320 Speaker 1: They did you see the whole thing of like they 184 00:10:36,360 --> 00:10:40,240 Speaker 1: do the Bilby, the Easter Bilby instead of the Easter 185 00:10:40,320 --> 00:10:45,199 Speaker 1: bunny because no, yeah, so rabbits are also invasive, also 186 00:10:45,280 --> 00:10:48,640 Speaker 1: bad for Bilby's and other animals, not because of predation, 187 00:10:49,320 --> 00:10:52,560 Speaker 1: but because they are competing with them, right and so, 188 00:10:52,840 --> 00:10:56,319 Speaker 1: and they're bad for the local vegetation and so there 189 00:10:56,520 --> 00:10:59,520 Speaker 1: they are, just as they're at war with feral cats 190 00:10:59,520 --> 00:11:03,240 Speaker 1: there at war or with feral rabbits, and so sort 191 00:11:03,240 --> 00:11:05,160 Speaker 1: of as a branding thing of like, hey, we don't 192 00:11:05,200 --> 00:11:09,679 Speaker 1: actually want rabbits here, they did the whole like Easter Bilby, get. 193 00:11:09,480 --> 00:11:11,320 Speaker 2: A chant bil so doing that here. 194 00:11:11,559 --> 00:11:16,880 Speaker 1: I'm a love that you can get a chocolate Easter Bilby. 195 00:11:16,960 --> 00:11:20,599 Speaker 1: I don't know how expensive the shipping would be from Australia, 196 00:11:20,720 --> 00:11:24,480 Speaker 1: but you know, probably a lot worth it. But yeah, 197 00:11:24,520 --> 00:11:29,720 Speaker 1: so so so far, these little little white eyed birds. Uh, 198 00:11:30,240 --> 00:11:33,480 Speaker 1: it is unknown what impact they have and in fact 199 00:11:33,520 --> 00:11:37,160 Speaker 1: it's unknown how big their population is. There's been more 200 00:11:37,200 --> 00:11:40,400 Speaker 1: reports of sightings. It seems like their population is on 201 00:11:40,440 --> 00:11:44,440 Speaker 1: the rise, but researchers need more data. So that is 202 00:11:45,200 --> 00:11:48,880 Speaker 1: something that people can do from their backyards right or 203 00:11:49,160 --> 00:11:51,439 Speaker 1: on your walk or whatever. If you see one of 204 00:11:51,480 --> 00:11:55,360 Speaker 1: these birds and you can look up pictures of the 205 00:11:55,559 --> 00:11:59,319 Speaker 1: swin Hoe white eye bird, and if you see one 206 00:11:59,320 --> 00:12:02,880 Speaker 1: of these you can snap a photo or make a 207 00:12:02,920 --> 00:12:05,600 Speaker 1: report of where you see it. You can go through 208 00:12:05,640 --> 00:12:10,280 Speaker 1: like a naturalist is the main one. And so yeah, 209 00:12:10,320 --> 00:12:13,680 Speaker 1: I mean there's an article called on the Brink of 210 00:12:13,760 --> 00:12:18,960 Speaker 1: Explosion identifying the source and potential spread of introduced Zosterops 211 00:12:19,120 --> 00:12:23,280 Speaker 1: white eyes in North America. Also an article in The 212 00:12:23,559 --> 00:12:28,720 Speaker 1: LAist by Jacob Margolis that has more information. But yeah, generally, 213 00:12:29,120 --> 00:12:32,640 Speaker 1: just if you're if you're a bird enthusiast and you 214 00:12:32,679 --> 00:12:34,640 Speaker 1: see one of these guys and you take a photo 215 00:12:35,160 --> 00:12:37,960 Speaker 1: or observed just like where it is where you saw it, 216 00:12:39,160 --> 00:12:41,640 Speaker 1: you can you can actually add a data point to 217 00:12:42,000 --> 00:12:44,240 Speaker 1: the research that is going on about the spread of 218 00:12:44,280 --> 00:12:45,040 Speaker 1: these little guys. 219 00:12:46,080 --> 00:12:48,480 Speaker 2: There it is, I'm looking at it right now. Okay, 220 00:12:48,480 --> 00:12:53,040 Speaker 2: So zaster Ops that's that's it sounds like a disease spelling. 221 00:12:53,679 --> 00:12:56,360 Speaker 2: I know. It's actually his name. 222 00:12:56,240 --> 00:13:00,160 Speaker 1: Is the full scientific name is Zosterops simplex, which which 223 00:13:00,240 --> 00:13:01,400 Speaker 1: make it makes it sound like a. 224 00:13:01,360 --> 00:13:04,040 Speaker 2: Mouth sounds like easily. Yeah it really does. Yeah, it 225 00:13:04,080 --> 00:13:06,640 Speaker 2: really does. Zoster Ops white eyes. I have a really 226 00:13:06,640 --> 00:13:08,040 Speaker 2: bad cases astro ops white eyes. 227 00:13:08,200 --> 00:13:09,640 Speaker 1: No. I know, it's like, oh, I don't want to 228 00:13:09,679 --> 00:13:11,000 Speaker 1: be around you. I don't want to catch your z 229 00:13:11,000 --> 00:13:11,960 Speaker 1: aster op white eyes. 230 00:13:13,280 --> 00:13:15,200 Speaker 2: It's interesting too, because when you talk about, yeah, when 231 00:13:15,200 --> 00:13:18,640 Speaker 2: you were talking about the population boom, but also that 232 00:13:18,720 --> 00:13:23,000 Speaker 2: it if that's relative to getting more engagement from the public. 233 00:13:23,520 --> 00:13:25,680 Speaker 2: You know, my first thought was like, gosh, how do 234 00:13:25,720 --> 00:13:27,840 Speaker 2: you I guess you can look at overall the kind 235 00:13:27,840 --> 00:13:30,520 Speaker 2: of data that you're getting in from the public to 236 00:13:30,559 --> 00:13:33,400 Speaker 2: see if there's an increase in general and not just 237 00:13:33,440 --> 00:13:36,200 Speaker 2: about these birds in particular, because that seems like such 238 00:13:36,200 --> 00:13:38,360 Speaker 2: a challenge to go yeah, or people just seeing the 239 00:13:38,440 --> 00:13:40,439 Speaker 2: more for like, what are all the reasons that people 240 00:13:40,440 --> 00:13:42,600 Speaker 2: are a seeing the more and b reporting the more 241 00:13:42,600 --> 00:13:44,760 Speaker 2: and is it truly a population boomers or something else 242 00:13:44,760 --> 00:13:46,920 Speaker 2: going on that we have to isolate and identify. 243 00:13:46,720 --> 00:13:50,800 Speaker 1: You are thinking exactly like a biologist, like a scientist, 244 00:13:50,880 --> 00:13:54,040 Speaker 1: because that is that is one of the issues with 245 00:13:54,280 --> 00:13:57,600 Speaker 1: things like this, because if you get a like if 246 00:13:57,640 --> 00:14:02,560 Speaker 1: you encourage more observations, you're gonna get more observations, and 247 00:14:02,600 --> 00:14:04,760 Speaker 1: then that might make it look like there's a big 248 00:14:04,800 --> 00:14:07,480 Speaker 1: population boom, like people are more aware of it, so 249 00:14:07,520 --> 00:14:11,120 Speaker 1: they're making observations. But there are ways to like kind 250 00:14:11,120 --> 00:14:14,680 Speaker 1: of overcome that, right because you maybe you start the 251 00:14:14,720 --> 00:14:16,640 Speaker 1: clock at the point at which it's like, well, we 252 00:14:16,720 --> 00:14:19,480 Speaker 1: made had this awareness at this point, so then we 253 00:14:19,520 --> 00:14:23,320 Speaker 1: look at the growth from that point onwards. You can 254 00:14:23,360 --> 00:14:27,320 Speaker 1: also do things like, okay, we made this made you know, 255 00:14:27,400 --> 00:14:31,040 Speaker 1: all of sort of California or something south southern California 256 00:14:31,280 --> 00:14:34,720 Speaker 1: reads this newspaper or whatever and has this this thing 257 00:14:34,760 --> 00:14:37,520 Speaker 1: and then so they're all making these observations and then 258 00:14:37,600 --> 00:14:40,960 Speaker 1: seeing if you see like a change right like in 259 00:14:41,000 --> 00:14:44,240 Speaker 1: the observations, like maybe they start more in southern California. 260 00:14:44,280 --> 00:14:46,480 Speaker 1: Do they move you know, to the north, do they 261 00:14:46,560 --> 00:14:50,800 Speaker 1: move to the east? You know? So it's you're absolutely right, 262 00:14:51,320 --> 00:14:54,000 Speaker 1: it's really important to separate out like, oh, we just 263 00:14:54,040 --> 00:14:56,280 Speaker 1: have a bunch of new observations. Well is that because 264 00:14:56,320 --> 00:14:59,520 Speaker 1: people are noticing it more sort of like how you know, 265 00:14:59,600 --> 00:15:02,840 Speaker 1: we may suddenly get a bunch of diagnoses for, say, 266 00:15:02,960 --> 00:15:06,240 Speaker 1: like a disease that we've now become more aware of, 267 00:15:06,280 --> 00:15:08,880 Speaker 1: and it's like, oh, everyone has this now. It's like, well, 268 00:15:09,960 --> 00:15:12,760 Speaker 1: because now we're aware of it. Same thing with this bird. 269 00:15:12,920 --> 00:15:16,200 Speaker 1: I'm so mean to this bird. I keep like comparing 270 00:15:16,240 --> 00:15:17,200 Speaker 1: it to a disease. 271 00:15:19,280 --> 00:15:21,280 Speaker 2: I mean, that's just what's going to happen if you're 272 00:15:21,320 --> 00:15:23,680 Speaker 2: an invasive species. It's not these guys fault. But I 273 00:15:23,720 --> 00:15:28,600 Speaker 2: will say side note. When I tucked this into Duc 274 00:15:28,640 --> 00:15:30,840 Speaker 2: dug O and I looked up Zostrops white I you 275 00:15:30,880 --> 00:15:33,080 Speaker 2: know how it gives you like a suggestion of what 276 00:15:33,120 --> 00:15:35,680 Speaker 2: you might be looking for. It was very eager to 277 00:15:35,800 --> 00:15:40,040 Speaker 2: fill in for me. Zostrops white eyes for sale. 278 00:15:40,440 --> 00:15:41,720 Speaker 1: Oh wow, really. 279 00:15:41,560 --> 00:15:44,360 Speaker 2: Seems telling, right, I mean, it thinks that that must 280 00:15:44,400 --> 00:15:47,680 Speaker 2: be what I came onto a search engine for. Yeah, 281 00:15:47,720 --> 00:15:49,040 Speaker 2: so I find that very interesting. 282 00:15:49,160 --> 00:15:52,320 Speaker 1: This is one of the problems with the exotic pet trade. 283 00:15:52,760 --> 00:15:55,720 Speaker 1: I am you know, I am a big fan of 284 00:15:55,720 --> 00:15:59,280 Speaker 1: people keeping pets, and I understand that a lot of 285 00:15:59,320 --> 00:16:01,000 Speaker 1: pets that we can keep are not going to be 286 00:16:01,240 --> 00:16:04,200 Speaker 1: native to the region. In which we live, and that's 287 00:16:04,320 --> 00:16:08,440 Speaker 1: often not a problem, but it can often be a problem, 288 00:16:08,880 --> 00:16:12,040 Speaker 1: especially for a pet that can easily escape, right, Like 289 00:16:12,400 --> 00:16:16,119 Speaker 1: there are types of like snakes, birds, you know, rodents 290 00:16:16,200 --> 00:16:19,760 Speaker 1: like these are pets that can fairly easily escape, and 291 00:16:20,280 --> 00:16:24,440 Speaker 1: especially animals that have a high fecundity can reproduce fairly quickly. 292 00:16:25,360 --> 00:16:28,040 Speaker 1: You know, that can be a big problem. So yeah, 293 00:16:28,080 --> 00:16:31,000 Speaker 1: I mean, right now, it doesn't seem like maybe they're 294 00:16:31,040 --> 00:16:33,760 Speaker 1: a problem, but it's also we don't there just hasn't 295 00:16:33,760 --> 00:16:36,720 Speaker 1: been a lot of research, so there could be problems 296 00:16:36,720 --> 00:16:39,440 Speaker 1: that this adorable little bird causes. I mean, it's not 297 00:16:39,640 --> 00:16:41,840 Speaker 1: so c it's so cute. It's not its fault, right, 298 00:16:42,000 --> 00:16:45,200 Speaker 1: Like they are adorable. They did they didn't choose to 299 00:16:45,240 --> 00:16:47,320 Speaker 1: be sold in the pet trade, and you know they're 300 00:16:47,360 --> 00:16:49,280 Speaker 1: just trying to make it work. But yeah, when we 301 00:16:49,400 --> 00:16:50,960 Speaker 1: I mean, I think it's funny because like when we 302 00:16:51,000 --> 00:16:53,880 Speaker 1: think of invasive species, we think of something menacing and 303 00:16:54,000 --> 00:16:58,800 Speaker 1: you know, like the pythons in Florida, But really it's 304 00:17:00,560 --> 00:17:03,600 Speaker 1: it can be an adorable little bunny rabbit in Australia 305 00:17:04,040 --> 00:17:07,679 Speaker 1: or an adorable bird. But yeah, so far we don't know, 306 00:17:08,160 --> 00:17:11,760 Speaker 1: because like I think the chevron parakeets are relatively benign 307 00:17:12,760 --> 00:17:17,199 Speaker 1: in southern California. Yeah, so hopefully this bird will be 308 00:17:17,200 --> 00:17:21,720 Speaker 1: benign and it'll just be another cute little bird to see. 309 00:17:21,920 --> 00:17:27,040 Speaker 1: But for instance, in Hawaii, a similar species, a bird 310 00:17:27,119 --> 00:17:30,879 Speaker 1: not exactly this one, but a similar species, has reaped 311 00:17:30,880 --> 00:17:35,200 Speaker 1: tavoc there because it out competes from the native birds, 312 00:17:35,840 --> 00:17:39,200 Speaker 1: and you know, it can cause these these native birds 313 00:17:39,240 --> 00:17:42,680 Speaker 1: to become endangered, and it's you know, can be really bad. 314 00:17:43,920 --> 00:17:47,920 Speaker 2: Well, the smaller the ecosystem and the more like you know, 315 00:17:48,760 --> 00:17:53,199 Speaker 2: island bound or whatever, I'm sure the higher the chances 316 00:17:53,240 --> 00:17:55,760 Speaker 2: are that something kind of severe could happen. I mean, 317 00:17:55,800 --> 00:17:59,600 Speaker 2: it's interesting. I'm like wondering if these guys build their nests, 318 00:18:00,240 --> 00:18:03,159 Speaker 2: you know, in the same kind of safe areas that 319 00:18:03,240 --> 00:18:06,119 Speaker 2: like a goldfinch would, because you also wonder, like could 320 00:18:06,119 --> 00:18:10,359 Speaker 2: a predatory species adapt to I mean, listen, I'm not 321 00:18:10,440 --> 00:18:14,840 Speaker 2: excited about you know, aphex predators eating these little birds 322 00:18:14,840 --> 00:18:17,639 Speaker 2: eggs or eating these little birds. But I also wonder, 323 00:18:17,720 --> 00:18:22,080 Speaker 2: because there are so many predators in southern California, if 324 00:18:22,200 --> 00:18:25,240 Speaker 2: you know, there could be some sort of like accidental 325 00:18:25,280 --> 00:18:28,880 Speaker 2: population control that happens just as those predatory species adapt 326 00:18:28,960 --> 00:18:32,879 Speaker 2: to having the availability of these little qts that I 327 00:18:32,880 --> 00:18:35,119 Speaker 2: don't want anyone to eat, but you know, got to 328 00:18:35,160 --> 00:18:36,000 Speaker 2: keep the system going. 329 00:18:36,760 --> 00:18:40,119 Speaker 1: I mean, you could say, uh, the general rule is 330 00:18:40,119 --> 00:18:42,440 Speaker 1: that the more similar the species behavior is to the 331 00:18:42,920 --> 00:18:45,760 Speaker 1: other native species, then yeah, the predators are just gonna 332 00:18:45,760 --> 00:18:48,040 Speaker 1: be like another thing on the menu. Great if it 333 00:18:48,119 --> 00:18:51,439 Speaker 1: has special adaptations, which I don't. I don't know of 334 00:18:51,520 --> 00:18:54,879 Speaker 1: any special adaptations that this bird has that would be 335 00:18:55,000 --> 00:19:00,919 Speaker 1: particularly effective against snakes and other predators in southern California, 336 00:19:00,960 --> 00:19:02,760 Speaker 1: So I think I think it will just be on 337 00:19:02,800 --> 00:19:07,119 Speaker 1: the menu with the other birds, but maybe not. You know. 338 00:19:07,359 --> 00:19:10,400 Speaker 1: It's another thing is that it is in an environment 339 00:19:10,440 --> 00:19:14,280 Speaker 1: that is very different from its original home in East 340 00:19:14,280 --> 00:19:16,760 Speaker 1: and Southeast Asia, where it's very very lush. This sort 341 00:19:16,800 --> 00:19:22,040 Speaker 1: of kind of semi tropical area California, Southern California is 342 00:19:22,040 --> 00:19:24,840 Speaker 1: a desert. But the reason it's able to thrive here 343 00:19:25,000 --> 00:19:29,680 Speaker 1: is because human beings don't necessarily want to live without 344 00:19:29,800 --> 00:19:32,840 Speaker 1: flowers and cool plants, and so we plant things that 345 00:19:32,880 --> 00:19:38,920 Speaker 1: are not native that have lush flowering fruits and or 346 00:19:39,320 --> 00:19:42,560 Speaker 1: lush flowers and fruits and berries, and so then these 347 00:19:42,600 --> 00:19:47,119 Speaker 1: birds will join us in the suburbs and urban areas 348 00:19:47,320 --> 00:19:51,960 Speaker 1: and basically exploit the setup that we have created, this 349 00:19:52,119 --> 00:19:55,240 Speaker 1: like fake lushness in what is a desert. 350 00:19:56,080 --> 00:20:00,840 Speaker 3: Yeah, well, I feel like we've I mean, I'm I 351 00:20:01,200 --> 00:20:06,520 Speaker 3: feel good yet nervous about these these little Zostrup simplexes. 352 00:20:07,440 --> 00:20:09,320 Speaker 2: I'm gonna keep my eyes peeled. I got to tell you, 353 00:20:09,359 --> 00:20:15,120 Speaker 2: I'm looking at the picture right underneath, very different kind 354 00:20:15,160 --> 00:20:20,160 Speaker 2: of a look from this other winged creature I'm trying 355 00:20:20,200 --> 00:20:24,720 Speaker 2: to have. I mean, it's beautiful and a little unsetting, 356 00:20:24,800 --> 00:20:27,159 Speaker 2: little creepy. We well, maybe a little creepy. 357 00:20:27,240 --> 00:20:29,720 Speaker 1: We're going to take a quick break and then we 358 00:20:29,760 --> 00:20:33,040 Speaker 1: are going to talk about this mystery winged creature that 359 00:20:33,160 --> 00:20:36,159 Speaker 1: has Janet unsure how to feel. 360 00:20:38,280 --> 00:20:38,720 Speaker 2: Perfect. 361 00:20:39,440 --> 00:20:42,199 Speaker 1: All right, so we are back and Janet, you have 362 00:20:42,320 --> 00:20:47,520 Speaker 1: spotted our next little member of the mystery crew of 363 00:20:47,640 --> 00:20:50,240 Speaker 1: creatures that people should keep an eye out for. And 364 00:20:50,400 --> 00:20:52,600 Speaker 1: what are you looking at here? How would you describe 365 00:20:52,600 --> 00:20:55,520 Speaker 1: this interesting little guy? 366 00:20:55,600 --> 00:20:58,879 Speaker 2: Okay, where do I start? First of all, I don't know, 367 00:20:59,040 --> 00:21:03,879 Speaker 2: I mean, again, a biologists, not a zoologist, not a 368 00:21:04,480 --> 00:21:06,880 Speaker 2: I mean, I just so I'm really trying to get 369 00:21:06,920 --> 00:21:11,679 Speaker 2: creative here. I'm gonna say the first thing that catches 370 00:21:11,720 --> 00:21:14,880 Speaker 2: your eye. About this, aside from this creature's eyes, which 371 00:21:14,880 --> 00:21:17,520 Speaker 2: I'll talk about in just a second, is this really 372 00:21:17,760 --> 00:21:24,440 Speaker 2: beautiful wing that is mostly transparent, but it has it's 373 00:21:24,520 --> 00:21:27,679 Speaker 2: almost like I mean, it's almost like a piece like 374 00:21:27,720 --> 00:21:30,280 Speaker 2: the top part of you know, if you look, I 375 00:21:30,320 --> 00:21:32,919 Speaker 2: think about the a quarter of a butterfly wing. If 376 00:21:32,920 --> 00:21:35,240 Speaker 2: you're sort of thinking about looking straight on at a butterfly, 377 00:21:35,480 --> 00:21:37,720 Speaker 2: you imagine the upper left or the upper right piece 378 00:21:37,720 --> 00:21:40,720 Speaker 2: of that. Imagine that that has more transparency like you 379 00:21:40,720 --> 00:21:43,480 Speaker 2: would maybe imagine from a fly's wing or something. But 380 00:21:43,560 --> 00:21:45,600 Speaker 2: it's very but it is very pretty. So there's some 381 00:21:45,640 --> 00:21:47,560 Speaker 2: white and kind of I mean, is there some kind 382 00:21:47,600 --> 00:21:49,640 Speaker 2: of gold or yellow coloration, looks like there's a little 383 00:21:49,640 --> 00:21:52,240 Speaker 2: orange in there, lots of black, kind of like a 384 00:21:52,320 --> 00:21:56,320 Speaker 2: black lining that creates these little segments of the uh, 385 00:21:56,560 --> 00:21:59,119 Speaker 2: the wing. And then I want what I want you 386 00:21:59,160 --> 00:22:01,240 Speaker 2: to do is then I want you to imagine that 387 00:22:01,320 --> 00:22:06,560 Speaker 2: it's on a tiny catfish. Because it's a body, I 388 00:22:06,600 --> 00:22:08,280 Speaker 2: can't see most of its body. I feel like I'm 389 00:22:08,280 --> 00:22:11,359 Speaker 2: only looking at its sort of head and right past 390 00:22:11,400 --> 00:22:13,919 Speaker 2: its head, but there's something sort of fish like about it. 391 00:22:13,960 --> 00:22:15,560 Speaker 2: And then I want you to go ahead and just 392 00:22:15,600 --> 00:22:21,080 Speaker 2: stick to bright large red orbs on for eyes, and 393 00:22:21,119 --> 00:22:26,920 Speaker 2: then just throw on some little crab claws for uh, 394 00:22:27,080 --> 00:22:29,399 Speaker 2: not claws, but the but the legs, crab legs, not 395 00:22:29,400 --> 00:22:32,800 Speaker 2: their claws, but some little crab legs for it's it's uh, 396 00:22:32,880 --> 00:22:35,760 Speaker 2: it's so so that it can land, get around and 397 00:22:36,480 --> 00:22:40,120 Speaker 2: scuttle around on stuff. That's my that's my best attempt 398 00:22:40,160 --> 00:22:40,760 Speaker 2: to describe this. 399 00:22:41,040 --> 00:22:44,360 Speaker 1: How did I do you have painted a beautiful brain picture? 400 00:22:45,040 --> 00:22:45,560 Speaker 2: Uh? 401 00:22:45,720 --> 00:22:48,720 Speaker 1: This is the way I would describe it is like 402 00:22:48,880 --> 00:22:52,119 Speaker 1: if you took a giant fly and mashed it together 403 00:22:52,280 --> 00:22:57,440 Speaker 1: with like a grasshopper, and then made it look surprised 404 00:22:57,920 --> 00:22:58,280 Speaker 1: at all. 405 00:23:00,280 --> 00:23:02,160 Speaker 2: Yeah, definitely grasshop er. I guess I could have gone 406 00:23:02,200 --> 00:23:05,399 Speaker 2: that route. I decided to go with a more shocking fish. 407 00:23:05,520 --> 00:23:08,440 Speaker 1: Well, it's it is. It is chunky though, it's shiny 408 00:23:08,440 --> 00:23:11,280 Speaker 1: and chunky, so it does have I can totally see 409 00:23:11,600 --> 00:23:14,720 Speaker 1: sort of that crustaceany look to it, which is yeah, 410 00:23:15,119 --> 00:23:17,240 Speaker 1: keep that in mind for later. Stick a little pin 411 00:23:17,359 --> 00:23:23,160 Speaker 1: on that. So this is a cicada. 412 00:23:23,480 --> 00:23:26,080 Speaker 2: A oh, it's just as after all that it's a cicada. 413 00:23:26,200 --> 00:23:29,119 Speaker 1: It is a cicada. It's you probably heard it, but 414 00:23:29,240 --> 00:23:31,159 Speaker 1: have you like seen one up close like this. 415 00:23:32,359 --> 00:23:34,400 Speaker 2: I mean I thought I had. I mean, I feel 416 00:23:34,440 --> 00:23:36,480 Speaker 2: like I've seen cicadas, but I guess I haven't seen 417 00:23:36,720 --> 00:23:39,600 Speaker 2: or do they all have like bright red bead eyes. 418 00:23:40,760 --> 00:23:43,639 Speaker 1: There are different species, but I. 419 00:23:43,640 --> 00:23:46,600 Speaker 2: Think the ones in Okay. I mean, I've had one 420 00:23:46,720 --> 00:23:50,760 Speaker 2: land on me, much to my chagrin, in Arizona, and 421 00:23:50,880 --> 00:23:53,719 Speaker 2: for sure in Arizona. You know, the thing you're going 422 00:23:53,760 --> 00:23:56,160 Speaker 2: to see more than the cicadas is the little crispy 423 00:23:56,200 --> 00:23:58,320 Speaker 2: shells that they leave when they shed their skin, which 424 00:23:58,520 --> 00:24:01,639 Speaker 2: are very fun too petchy off of of yeah, to 425 00:24:01,760 --> 00:24:04,080 Speaker 2: kind of crunch into a dust after you pick them 426 00:24:04,160 --> 00:24:06,800 Speaker 2: up off of off of a nice piece of bark. 427 00:24:07,800 --> 00:24:09,159 Speaker 2: But I did not. I mean, I guess if you 428 00:24:09,320 --> 00:24:12,919 Speaker 2: made me guess, I should have come to Cicada, especially 429 00:24:12,920 --> 00:24:14,560 Speaker 2: when you gave me the grasshopper hint. 430 00:24:15,200 --> 00:24:19,000 Speaker 1: Well, I think, out of context, it's surprising to see cicadas. 431 00:24:19,040 --> 00:24:21,840 Speaker 1: I always like, I hear their sound and I'm like, 432 00:24:22,080 --> 00:24:24,120 Speaker 1: I don't know, I'm thinking of some kind of like 433 00:24:25,520 --> 00:24:27,680 Speaker 1: grasshopper like thing or something, and. 434 00:24:27,600 --> 00:24:30,199 Speaker 2: They have a just an evil tiny robot. Yeah, a 435 00:24:30,200 --> 00:24:32,919 Speaker 2: little old tiny robots a metallic sound. 436 00:24:33,000 --> 00:24:36,280 Speaker 1: It does make a very metallic sound shocking. But the 437 00:24:36,320 --> 00:24:39,560 Speaker 1: reason I bring up cicadas is that if you live 438 00:24:39,920 --> 00:24:46,360 Speaker 1: in North America, in the Midwest and southeast United States, 439 00:24:46,440 --> 00:24:50,359 Speaker 1: you are in for a treat that rivals the total 440 00:24:50,400 --> 00:24:54,040 Speaker 1: eclipse that just happened, because there is going to be 441 00:24:54,280 --> 00:25:01,399 Speaker 1: a double brewed emergence this spring, so it is gonna 442 00:25:01,440 --> 00:25:07,680 Speaker 1: be a very special event. So cicadas do emerge every year, 443 00:25:07,840 --> 00:25:14,399 Speaker 1: right like we have this yearly emergence of cicadas. Their 444 00:25:14,440 --> 00:25:18,679 Speaker 1: life cycle is essentially, the females will lay eggs into trees. 445 00:25:18,720 --> 00:25:21,639 Speaker 1: They cut a little slice into the tree, lay their 446 00:25:21,640 --> 00:25:25,440 Speaker 1: eggs there. The eggs hatch into nymphs, little tiny babies. 447 00:25:25,640 --> 00:25:29,040 Speaker 1: They drop down to the ground, burrow under the ground. 448 00:25:29,040 --> 00:25:31,520 Speaker 1: They can go as far as around two feet under 449 00:25:31,520 --> 00:25:34,240 Speaker 1: the ground. And then they stay there for at least 450 00:25:34,400 --> 00:25:38,000 Speaker 1: a year, and then all at once they all come out. 451 00:25:38,760 --> 00:25:43,679 Speaker 1: The males make this incredibly loud buzzing sound to attract 452 00:25:43,720 --> 00:25:46,960 Speaker 1: the females. There's a mad dash to get the mating done, 453 00:25:47,000 --> 00:25:48,440 Speaker 1: to lay the eggs, and then they all die in 454 00:25:48,480 --> 00:25:53,080 Speaker 1: a few weeks. So they but this is the thing 455 00:25:53,160 --> 00:25:55,720 Speaker 1: is life, I know, amazing, right Like, So you spend 456 00:25:55,760 --> 00:25:59,120 Speaker 1: most of your time as a juvenile, just hanging out underground, 457 00:25:59,560 --> 00:26:03,040 Speaker 1: sipping on the sap from tree roots. Uh, and then 458 00:26:03,080 --> 00:26:06,679 Speaker 1: you have like three to six weeks of total madness 459 00:26:06,720 --> 00:26:09,200 Speaker 1: of just trying to mate as fast as you can, 460 00:26:09,280 --> 00:26:12,479 Speaker 1: and then you drop dead. Wow. 461 00:26:12,880 --> 00:26:16,240 Speaker 2: Yeah, I mean listen, you get you get to some underground, 462 00:26:16,280 --> 00:26:18,320 Speaker 2: you get some above ground by being in the trees, 463 00:26:19,800 --> 00:26:23,600 Speaker 2: and you get to drive people crazy with how incredibly 464 00:26:23,600 --> 00:26:25,959 Speaker 2: loud you are. I mean, this is uh, this is 465 00:26:26,000 --> 00:26:30,320 Speaker 2: an insect that was linked as a possible cause of 466 00:26:30,680 --> 00:26:32,560 Speaker 2: I hate to use the term Vana syndrome because I 467 00:26:32,560 --> 00:26:34,840 Speaker 2: think that I know that that's like very hurtful to 468 00:26:34,920 --> 00:26:37,159 Speaker 2: the Cuban people who are like, please don't put the 469 00:26:37,280 --> 00:26:40,200 Speaker 2: name of our city into this thing that you think 470 00:26:40,320 --> 00:26:44,880 Speaker 2: is like a sonic weapon. But you know, it's when 471 00:26:44,920 --> 00:26:48,280 Speaker 2: I've listened to a great podcast about it, actually, which 472 00:26:48,280 --> 00:26:50,120 Speaker 2: I wish I could remember the name of. It's really 473 00:26:50,119 --> 00:26:56,160 Speaker 2: good about the that phenomena, and when they first played 474 00:26:56,200 --> 00:26:58,879 Speaker 2: like that, you know, the whole sort of like misunderstanding 475 00:26:59,400 --> 00:27:01,520 Speaker 2: which was kind of debunked as like no, no, no, 476 00:27:01,560 --> 00:27:04,560 Speaker 2: this isn't actually what this was, and it's not even 477 00:27:04,680 --> 00:27:08,600 Speaker 2: what the people who had this thought it was. It's 478 00:27:08,680 --> 00:27:11,840 Speaker 2: just sort of an Uh, it's just an unfortunate like, 479 00:27:13,160 --> 00:27:15,359 Speaker 2: it's just an unfortunate situation where there happened to be 480 00:27:15,400 --> 00:27:18,119 Speaker 2: a bunch of really loud cicadas. Yeah that they were like, 481 00:27:18,200 --> 00:27:19,800 Speaker 2: could this have anything to do with why we're having 482 00:27:19,800 --> 00:27:21,560 Speaker 2: these symptoms? And it was like, no, it doesn't, and 483 00:27:21,600 --> 00:27:24,960 Speaker 2: the symptoms still happened. But but the first time I 484 00:27:25,000 --> 00:27:27,240 Speaker 2: heard I was like, well that's cicadas. Yeah, like that 485 00:27:27,480 --> 00:27:30,040 Speaker 2: sound that you know, feels like and it's it's an 486 00:27:30,080 --> 00:27:33,240 Speaker 2: assault to your ears, cicada. 487 00:27:33,280 --> 00:27:36,280 Speaker 1: It's a complete sensory experience. 488 00:27:37,400 --> 00:27:38,680 Speaker 2: Bless them. 489 00:27:38,800 --> 00:27:41,359 Speaker 1: Well, how do we know that the cicadas aren't in 490 00:27:41,480 --> 00:27:47,720 Speaker 1: league with the Cuban government to undermine I have nothing? 491 00:27:47,840 --> 00:27:51,080 Speaker 2: So a double brood? So double brood? How did that happen? 492 00:27:51,600 --> 00:27:53,359 Speaker 2: How was there a double set coming? 493 00:27:53,560 --> 00:27:56,080 Speaker 1: So this is really this is very interesting. So there 494 00:27:56,080 --> 00:27:59,240 Speaker 1: are some species that they go through a yearly life cycle. 495 00:28:00,080 --> 00:28:02,840 Speaker 1: There are others and those are called annual cicadia, sick 496 00:28:03,280 --> 00:28:09,040 Speaker 1: annual cicadas. There are other cicadas who are periodical cicadas, 497 00:28:09,240 --> 00:28:11,239 Speaker 1: and they have a life cycle that can range from 498 00:28:11,320 --> 00:28:17,000 Speaker 1: two years to seventeen years. And so that means that 499 00:28:17,119 --> 00:28:20,359 Speaker 1: when the nymphs pop out of the trees burrow underground. 500 00:28:20,640 --> 00:28:23,440 Speaker 1: They can spend up to seventeen years of their life 501 00:28:23,880 --> 00:28:28,400 Speaker 1: just waiting underground, sipping on tree root juices, and then 502 00:28:28,520 --> 00:28:31,600 Speaker 1: at the seventeen year mark, all of them all at 503 00:28:31,600 --> 00:28:38,520 Speaker 1: once emerge and do the crazy mating just orgy fest 504 00:28:38,560 --> 00:28:41,520 Speaker 1: for a few weeks. And the double brood is because 505 00:28:41,560 --> 00:28:46,600 Speaker 1: there is a brood, a thirteen year cyclical sorry, a 506 00:28:46,640 --> 00:28:53,400 Speaker 1: thirteen year periodical cicada brood, and a seventeen year periodical 507 00:28:53,480 --> 00:28:56,400 Speaker 1: cicada brood that have a lined so they are emerging 508 00:28:56,440 --> 00:29:01,160 Speaker 1: at the same time. And this is something that hasn't 509 00:29:01,240 --> 00:29:05,360 Speaker 1: happened for two hundred years. So yeah, because it think 510 00:29:05,560 --> 00:29:09,080 Speaker 1: the just the synchronicity of it, the last time this 511 00:29:09,120 --> 00:29:12,560 Speaker 1: happened was two hundred years ago. The next time this happened, 512 00:29:13,000 --> 00:29:15,160 Speaker 1: it's gonna be another like two hundred years, is gonna 513 00:29:15,160 --> 00:29:23,200 Speaker 1: be in like twenty twenty forty five, so it is. 514 00:29:24,200 --> 00:29:28,640 Speaker 1: It is really incredible. And so there are going to 515 00:29:28,760 --> 00:29:33,000 Speaker 1: be anywhere from like billions to potentially like a trillion 516 00:29:33,160 --> 00:29:36,720 Speaker 1: cicadas just like which seems made up? That does that 517 00:29:36,800 --> 00:29:41,040 Speaker 1: seems like too many that are going to emerge. And 518 00:29:41,760 --> 00:29:46,320 Speaker 1: so if you are near the cicada geddon, which is 519 00:29:46,400 --> 00:29:49,800 Speaker 1: happening in you know, the nor in the Midwest and 520 00:29:49,880 --> 00:29:54,600 Speaker 1: southeast United States, you will start to notice holes popping 521 00:29:54,600 --> 00:29:58,040 Speaker 1: out of the ground. And then you're gonna notice just 522 00:29:58,360 --> 00:30:04,920 Speaker 1: a deafening cock cacophony of cicadas making an incredible sound. 523 00:30:04,960 --> 00:30:08,760 Speaker 1: It is not the end times, uh, you are not. 524 00:30:08,840 --> 00:30:12,800 Speaker 1: You're not about to be raptured. These are cicadas and 525 00:30:12,840 --> 00:30:15,240 Speaker 1: they will made over the course of a few weeks. 526 00:30:15,360 --> 00:30:18,120 Speaker 1: Then they'll die. And yeah, you're gonna find all those 527 00:30:18,200 --> 00:30:23,560 Speaker 1: like crunchy little shells everywhere. It's uh, they look intimidating 528 00:30:23,800 --> 00:30:28,080 Speaker 1: sometimes because they're they're pretty big. They're you know, like 529 00:30:28,120 --> 00:30:31,760 Speaker 1: bigger than my thumb a little bit. But they are 530 00:30:32,160 --> 00:30:33,960 Speaker 1: totally harmless. They don't want to they don't want to 531 00:30:34,000 --> 00:30:35,640 Speaker 1: mess with you. They don't want to bite you. They're 532 00:30:35,640 --> 00:30:36,760 Speaker 1: not like venomous. 533 00:30:36,800 --> 00:30:39,160 Speaker 2: They don't want to have sex with you. Again, they 534 00:30:39,200 --> 00:30:42,000 Speaker 2: do not want to have sex with you. 535 00:30:42,160 --> 00:30:48,200 Speaker 1: Not with you, with uh, with anything vaguely cicada shaped yet. 536 00:30:49,360 --> 00:30:51,280 Speaker 2: Uh. 537 00:30:51,320 --> 00:30:56,840 Speaker 1: So you can celebrate cicada get in by just observing 538 00:30:57,280 --> 00:31:01,480 Speaker 1: all the cicadas, by enjoying the train quality of like 539 00:31:01,760 --> 00:31:03,800 Speaker 1: a billion cicadas all screaming. 540 00:31:04,800 --> 00:31:06,640 Speaker 2: I wonder if there's going to be more ear plug 541 00:31:06,720 --> 00:31:11,240 Speaker 2: purchases than in past years. Really in those areas. 542 00:31:11,760 --> 00:31:15,000 Speaker 1: I'd be interesting to track. My husband is an economist. 543 00:31:15,040 --> 00:31:17,200 Speaker 1: I'm going to suggest that to him as a research topic. 544 00:31:17,320 --> 00:31:20,000 Speaker 1: Like ear plugs and cicadas, is there a connection? 545 00:31:20,480 --> 00:31:23,200 Speaker 2: It just doesn't seem possible, Like, and it's the same 546 00:31:23,240 --> 00:31:25,000 Speaker 2: with crickets. I guess, you know, you just sort of 547 00:31:25,440 --> 00:31:27,320 Speaker 2: we all take for grant. I mean I think I 548 00:31:27,400 --> 00:31:29,240 Speaker 2: did as a kid. I feel like I was a 549 00:31:29,240 --> 00:31:32,520 Speaker 2: fairly curious kid. But you also when you're younger, there 550 00:31:32,520 --> 00:31:34,000 Speaker 2: are some things that you just kind of take it 551 00:31:34,040 --> 00:31:37,840 Speaker 2: face value. And I guess I just I hadn't. I 552 00:31:37,840 --> 00:31:40,440 Speaker 2: didn't spend as much time as maybe I should have 553 00:31:40,840 --> 00:31:45,640 Speaker 2: thinking about the immense noise that comes from this tiny thing. 554 00:31:45,960 --> 00:31:49,440 Speaker 1: Well it's so interesting because well, crickets are you know, 555 00:31:49,680 --> 00:31:56,320 Speaker 1: they can project for sure, but cicadas are particularly loud. 556 00:31:57,480 --> 00:32:03,480 Speaker 1: Cicadas are a little bit different, uh from stridulators like crickets, 557 00:32:03,960 --> 00:32:09,200 Speaker 1: So they do produce sound mechanically, not through like a voice, 558 00:32:09,600 --> 00:32:14,080 Speaker 1: but they actually have these Instead of just rubbing one 559 00:32:14,120 --> 00:32:19,920 Speaker 1: body part against another, they have these what are called timbles. 560 00:32:19,960 --> 00:32:23,320 Speaker 1: They are these like structures, these kind of membraneous structures, 561 00:32:23,360 --> 00:32:25,200 Speaker 1: you know, like like what's it. 562 00:32:25,120 --> 00:32:28,760 Speaker 2: Called like symbol like symbols, Like symbols rhymes with timbles. 563 00:32:28,800 --> 00:32:30,479 Speaker 1: It does rhyme with timbles. But you know, like the 564 00:32:30,480 --> 00:32:34,680 Speaker 1: monkey that slaps the symbols together. These are timbles. So 565 00:32:34,720 --> 00:32:40,920 Speaker 1: they are connected to muscles. They vibrate them really rapidly. Vibration, yeah, 566 00:32:41,720 --> 00:32:44,959 Speaker 1: vibration that is very very rapid. And they also have 567 00:32:45,040 --> 00:32:50,320 Speaker 1: sort of a resonance chamber. Uh and so like basically 568 00:32:50,360 --> 00:32:52,600 Speaker 1: you know how like you can like wiggle a metal 569 00:32:52,640 --> 00:32:55,000 Speaker 1: sheet and make a thunder sound. It's like that, but 570 00:32:55,080 --> 00:32:57,680 Speaker 1: we have a bunch of these little membranes. H if 571 00:32:57,720 --> 00:33:00,240 Speaker 1: you actually like, if you like like this. This is 572 00:33:00,240 --> 00:33:02,960 Speaker 1: what's interesting about cicadas is they kind of have this 573 00:33:03,040 --> 00:33:05,760 Speaker 1: like mechanical look. If you sort of look at this 574 00:33:06,360 --> 00:33:09,680 Speaker 1: timble structure, it looks sort of like a bunch of 575 00:33:09,760 --> 00:33:12,520 Speaker 1: layers of metal together. But these are actually just like 576 00:33:12,560 --> 00:33:15,520 Speaker 1: these sort of thin membranes. They vibrate and then their 577 00:33:15,560 --> 00:33:19,360 Speaker 1: bodies are designed as a resonance chamber. And it's just 578 00:33:19,440 --> 00:33:22,360 Speaker 1: it's such a rapid force that they can actually produce 579 00:33:22,520 --> 00:33:25,640 Speaker 1: from this this thing that's relatively small, they can produce 580 00:33:25,680 --> 00:33:28,560 Speaker 1: a sound that's nearly as loud as like a chainsaw. 581 00:33:29,560 --> 00:33:33,040 Speaker 2: I mean that is nuts and so okay. So the 582 00:33:33,120 --> 00:33:35,479 Speaker 2: little critters that are coming out of the ground that 583 00:33:35,520 --> 00:33:38,560 Speaker 2: they're male and female, that both in the broods that 584 00:33:38,600 --> 00:33:41,760 Speaker 2: are coming out, and the females you are, they're just 585 00:33:41,840 --> 00:33:45,240 Speaker 2: going somewhere too, I mean, are they just kind of 586 00:33:45,240 --> 00:33:47,440 Speaker 2: like in the trees also they are, and they're just 587 00:33:47,480 --> 00:33:50,480 Speaker 2: sort of like, yeah, they're looking whoever's yeah, depends on 588 00:33:50,480 --> 00:33:51,160 Speaker 2: the species. 589 00:33:51,200 --> 00:33:53,720 Speaker 1: Some of them like they're both mobile and they're looking 590 00:33:53,760 --> 00:33:56,960 Speaker 1: for each other, and the males making this sound and 591 00:33:57,000 --> 00:34:00,960 Speaker 1: the female's going for it. But in so species, it's 592 00:34:01,040 --> 00:34:04,680 Speaker 1: like the males stay put and then the females have 593 00:34:04,760 --> 00:34:07,440 Speaker 1: to come to them because the males are lazy, and 594 00:34:07,520 --> 00:34:09,319 Speaker 1: you know, it's like, well, you have to come over here. 595 00:34:09,480 --> 00:34:12,279 Speaker 2: They're like, baby, I'm exhausted, I'm a listen, I'm in 596 00:34:12,320 --> 00:34:14,319 Speaker 2: a band. If you want to hang out with me, 597 00:34:14,600 --> 00:34:17,400 Speaker 2: you got to come to my band's shows. I'm too busy. 598 00:34:17,440 --> 00:34:20,239 Speaker 2: I'm either rehearsing my band, or I'm performing with my band, 599 00:34:20,320 --> 00:34:22,000 Speaker 2: or I'm traveling with my band. Baby, you want to 600 00:34:22,040 --> 00:34:23,759 Speaker 2: be with me, come to where the band is. You 601 00:34:23,760 --> 00:34:24,880 Speaker 2: know what I'm talking about. 602 00:34:24,600 --> 00:34:26,920 Speaker 1: Girl, exactly. We've all been through this. We've all had 603 00:34:26,920 --> 00:34:33,839 Speaker 1: a cicada in our life. But one interesting thing about 604 00:34:33,880 --> 00:34:36,239 Speaker 1: these is that you would think you'd wonder, like, well, 605 00:34:36,239 --> 00:34:39,480 Speaker 1: why why do they need seventeen or thirteen years underground? 606 00:34:39,520 --> 00:34:41,960 Speaker 1: That seems excessive, Like they don't need a lot of 607 00:34:42,000 --> 00:34:43,160 Speaker 1: time to develop. 608 00:34:43,000 --> 00:34:47,640 Speaker 2: A lot of about being a brooding teenager. You never 609 00:34:47,719 --> 00:34:49,800 Speaker 2: come out of your room. You're two, You dug yourself 610 00:34:49,840 --> 00:34:51,120 Speaker 2: two feet underground. 611 00:34:51,200 --> 00:34:53,560 Speaker 1: Yeah, come on, they are a whold They are a 612 00:34:53,640 --> 00:34:57,279 Speaker 1: whole teenager by the time they emerge. Yeah, and so 613 00:34:57,600 --> 00:34:58,120 Speaker 1: no wonders. 614 00:34:58,120 --> 00:34:59,560 Speaker 2: They're so horny. 615 00:35:01,719 --> 00:35:05,000 Speaker 1: Oh man, I just it's so good. They don't have internet, 616 00:35:05,080 --> 00:35:09,239 Speaker 1: these cicadas, I know, can you imagine. 617 00:35:08,920 --> 00:35:11,000 Speaker 2: Well, some trees talk to trees, tree roots talk to 618 00:35:11,000 --> 00:35:13,279 Speaker 2: each other. I don't know they can kind they could 619 00:35:13,320 --> 00:35:15,920 Speaker 2: they could be Yeah, a little internet there. 620 00:35:16,120 --> 00:35:18,399 Speaker 1: But yeah, no, I mean the reason for the law, 621 00:35:18,640 --> 00:35:22,040 Speaker 1: I mean, it's still not exactly known why they do this, 622 00:35:22,160 --> 00:35:25,680 Speaker 1: but one the leading theory is that it is a 623 00:35:25,680 --> 00:35:30,560 Speaker 1: way to kind of like create an unpredictability about like 624 00:35:30,719 --> 00:35:33,200 Speaker 1: when they emerged. The reason that they all emerge at 625 00:35:33,200 --> 00:35:37,239 Speaker 1: once is fairly straightforward safety in numbers. If you are 626 00:35:37,360 --> 00:35:42,520 Speaker 1: part of a huge brood, then it is just statistically 627 00:35:42,600 --> 00:35:45,239 Speaker 1: less likely you get eaten, even though a lot of 628 00:35:45,239 --> 00:35:48,799 Speaker 1: you are going to get eaten. But to emerge at 629 00:35:48,840 --> 00:35:52,240 Speaker 1: such a like weird like periodical thing of like every 630 00:35:52,239 --> 00:35:55,080 Speaker 1: thirteen years, every seventeen years. There are other broods that 631 00:35:55,400 --> 00:35:59,960 Speaker 1: do it at different intervals. That is potentially to make 632 00:36:00,200 --> 00:36:04,719 Speaker 1: difficult for predators, parasites and other and like pathogens the 633 00:36:04,760 --> 00:36:10,399 Speaker 1: three piece from adapting to you essentially like if they 634 00:36:10,440 --> 00:36:13,439 Speaker 1: adapt to your life cycle, like you emerge every year, 635 00:36:13,600 --> 00:36:17,239 Speaker 1: maybe a pathogen or a predator or a parasite will 636 00:36:17,360 --> 00:36:19,520 Speaker 1: learn like, hey, they come out every year, and so 637 00:36:19,719 --> 00:36:23,920 Speaker 1: I adapt in order to exploit this yearly emergence. But 638 00:36:24,080 --> 00:36:27,040 Speaker 1: if you're only coming out every thirteen years or seventeen years, 639 00:36:27,640 --> 00:36:31,600 Speaker 1: this is an irregularity and it's a long period of time. 640 00:36:31,920 --> 00:36:35,400 Speaker 1: So you may be going beyond the life cycle of 641 00:36:35,440 --> 00:36:37,200 Speaker 1: a lot of predators, of a lot of things that 642 00:36:37,200 --> 00:36:40,120 Speaker 1: would exploit you, and so it is harder for them 643 00:36:40,200 --> 00:36:45,359 Speaker 1: to specifically adapt strategies against you to either exploit you 644 00:36:45,440 --> 00:36:48,680 Speaker 1: as a parasite or as a predator. That doesn't mean 645 00:36:48,760 --> 00:36:51,319 Speaker 1: that predators don't eat these. They do. They eat them 646 00:36:51,480 --> 00:36:53,960 Speaker 1: a lot of them. But the point is like having 647 00:36:54,040 --> 00:36:57,080 Speaker 1: like a special adaptation that makes you just a master 648 00:36:57,760 --> 00:37:04,399 Speaker 1: at a cicada munch or cicada parasitizing, or even like 649 00:37:04,440 --> 00:37:07,359 Speaker 1: a virus or a pathogen that could adapt to it, 650 00:37:07,400 --> 00:37:10,359 Speaker 1: like with this like weird interval, like it actually makes 651 00:37:10,360 --> 00:37:13,920 Speaker 1: them kind of a hard target to adapt to, except 652 00:37:13,960 --> 00:37:16,279 Speaker 1: for when they're underground, and there are actually things like 653 00:37:17,520 --> 00:37:22,040 Speaker 1: fungal infections and nematods and things underground that can parasitize 654 00:37:22,080 --> 00:37:26,200 Speaker 1: them while they are in that period, which is really interesting. 655 00:37:26,280 --> 00:37:29,120 Speaker 2: But you know, is that is that kind of the 656 00:37:29,120 --> 00:37:31,200 Speaker 2: only thing that can happen to you when you're down there, 657 00:37:31,280 --> 00:37:36,239 Speaker 2: or can like some sort of burrowing critter find you, 658 00:37:36,320 --> 00:37:39,879 Speaker 2: just stumble across you and go, hey, I'm a off hand. 659 00:37:39,880 --> 00:37:42,120 Speaker 2: I can't think of a single one hole. I don't 660 00:37:41,520 --> 00:37:43,279 Speaker 2: think they. 661 00:37:43,280 --> 00:37:47,080 Speaker 1: Oh absolutely yeah no, if they're they can be definitely 662 00:37:47,120 --> 00:37:51,319 Speaker 1: preyed upon underground by burrowing animals. It's just that it 663 00:37:51,400 --> 00:37:55,080 Speaker 1: is not as exploited a region as say the surface, right, 664 00:37:55,200 --> 00:37:57,319 Speaker 1: Like burrowing animals they have to put in work to 665 00:37:57,400 --> 00:38:01,879 Speaker 1: do their tunnels and so you know the excavation, uh 666 00:38:02,040 --> 00:38:04,680 Speaker 1: is you can only excavate so much of the ground, 667 00:38:05,800 --> 00:38:07,920 Speaker 1: and so yeah, they will still be preyed upon, they 668 00:38:07,920 --> 00:38:10,359 Speaker 1: will still have issues underground, but it is safer than 669 00:38:10,400 --> 00:38:15,160 Speaker 1: the surface. And is speaking of eating these guys, uh, 670 00:38:15,200 --> 00:38:19,000 Speaker 1: they are edible for people. We can eat them and 671 00:38:19,360 --> 00:38:22,280 Speaker 1: if you I mean, I have never had a cicada, 672 00:38:22,360 --> 00:38:26,400 Speaker 1: but I have heard that they actually taste fairly good, 673 00:38:26,680 --> 00:38:31,520 Speaker 1: similar to like say seafood, kind of like the kind 674 00:38:31,520 --> 00:38:33,000 Speaker 1: of look like crustaceane. 675 00:38:33,080 --> 00:38:34,400 Speaker 2: Yeah. 676 00:38:34,640 --> 00:38:38,160 Speaker 1: I don't know if that's true, but because I have 677 00:38:38,239 --> 00:38:40,600 Speaker 1: never tried it. But if you live in one of 678 00:38:40,640 --> 00:38:43,960 Speaker 1: these areas where there's going to be this mass emergence, 679 00:38:44,560 --> 00:38:47,200 Speaker 1: check out like your local rest if you're if you're adventurous, 680 00:38:47,200 --> 00:38:50,600 Speaker 1: if this sounds interesting to you, Sometimes like local restaurants 681 00:38:50,640 --> 00:38:54,839 Speaker 1: will start offering cickeda meals, so like essentially collect they 682 00:38:54,840 --> 00:38:58,000 Speaker 1: collect the cicadas, they prepare them, cook them, and you 683 00:38:58,000 --> 00:38:58,520 Speaker 1: can eat them. 684 00:38:59,360 --> 00:39:02,239 Speaker 2: Good source of protein like a cricket, like yeah, absolute 685 00:39:02,400 --> 00:39:03,560 Speaker 2: protein powder and stuff. 686 00:39:03,640 --> 00:39:05,919 Speaker 1: Yeah. Yeah, their meat, they're bug meat. 687 00:39:06,600 --> 00:39:09,680 Speaker 2: I think you'd have to char that baby pretty black 688 00:39:09,840 --> 00:39:12,200 Speaker 2: for me to I need to get like what I 689 00:39:12,280 --> 00:39:15,160 Speaker 2: taste is the taste of of just like burnt wood 690 00:39:16,920 --> 00:39:18,719 Speaker 2: needs to be sure, I need a grasshopper. 691 00:39:18,719 --> 00:39:22,040 Speaker 1: But Billy, what'd you think? You know what? 692 00:39:22,040 --> 00:39:24,160 Speaker 2: I'm sure? I think it was like a chocolate cover grasshopper. 693 00:39:24,200 --> 00:39:25,960 Speaker 2: So it was one of those things where you're like, oh, 694 00:39:26,000 --> 00:39:30,480 Speaker 2: you've done everything you can to disguise and and and 695 00:39:30,560 --> 00:39:34,359 Speaker 2: sort of you know, nullify whatever bug eating experience you're 696 00:39:34,360 --> 00:39:36,919 Speaker 2: supposed to have, Like I definitely haven't had, like, hey, 697 00:39:37,000 --> 00:39:39,840 Speaker 2: here's a you know, yeah, here's a baked here's a 698 00:39:39,880 --> 00:39:40,839 Speaker 2: baked grasshopper. 699 00:39:40,960 --> 00:39:45,359 Speaker 1: Nothing a grasshopper, here's a here's a a tart with 700 00:39:46,400 --> 00:39:48,839 Speaker 1: grasshoppers all lined up like pecans. 701 00:39:49,360 --> 00:39:51,480 Speaker 2: Yeah, I exactly. 702 00:39:51,960 --> 00:39:56,080 Speaker 1: I I'm not much of an insectivore myself. I want 703 00:39:56,120 --> 00:39:58,960 Speaker 1: to be, like, I think it would be cool, and 704 00:39:59,040 --> 00:40:02,319 Speaker 1: I wish I did not have the sort of uh 705 00:40:02,800 --> 00:40:06,320 Speaker 1: like revulsion towards eating insects that I have, like because 706 00:40:06,400 --> 00:40:08,840 Speaker 1: it's just like, well, now there's this whole cuisine that 707 00:40:08,920 --> 00:40:12,560 Speaker 1: I can't have because I have this cultural notion that bugs. 708 00:40:12,840 --> 00:40:15,040 Speaker 1: Bugs is gross. I'm not supposed to eat them. I've 709 00:40:15,040 --> 00:40:17,799 Speaker 1: eaten ants the same, and I think I had a 710 00:40:17,800 --> 00:40:21,680 Speaker 1: cricket once. But yeah, uh, it's just it's hard for 711 00:40:21,719 --> 00:40:24,120 Speaker 1: me to get past that, and I wish I could, 712 00:40:24,160 --> 00:40:28,759 Speaker 1: because hey, you know what, like food's food, and I 713 00:40:28,760 --> 00:40:30,400 Speaker 1: don't want to be yeah, I don't want to be 714 00:40:30,440 --> 00:40:32,719 Speaker 1: so picky, but yeah, let me. 715 00:40:32,640 --> 00:40:34,200 Speaker 2: Ask you this cool question, and please tell me if 716 00:40:34,200 --> 00:40:35,840 Speaker 2: we're getting off topic, because you know, I could tasks 717 00:40:35,920 --> 00:40:39,280 Speaker 2: six hours about almost any subject. But so with something 718 00:40:39,400 --> 00:40:43,480 Speaker 2: like that, how much of that revulsion. You don't have 719 00:40:43,480 --> 00:40:45,120 Speaker 2: to know the answer to this, but I'm interested if 720 00:40:45,120 --> 00:40:47,760 Speaker 2: you have any speculation on it. How much of something 721 00:40:47,840 --> 00:40:51,160 Speaker 2: like that is, like, because you know, for example, when 722 00:40:51,160 --> 00:40:53,080 Speaker 2: you when you find that you're afraid of a certain 723 00:40:53,120 --> 00:40:56,239 Speaker 2: type of creature, and and you know, we you can 724 00:40:56,239 --> 00:40:59,200 Speaker 2: have a conversation about that. Most people sort of understand like, well, 725 00:40:59,480 --> 00:41:02,120 Speaker 2: you know, to have a sort of genetic predisposition towards 726 00:41:02,120 --> 00:41:05,240 Speaker 2: fearing spiders, or towards fearing rats, or towards fearing snakes. 727 00:41:05,400 --> 00:41:09,560 Speaker 2: Like there's reasons for those predispositions to exist, and some 728 00:41:09,600 --> 00:41:11,520 Speaker 2: of them may be happening at the genetic level, like 729 00:41:11,560 --> 00:41:15,600 Speaker 2: at the cellular level. I wonder I'm wondering with you know, 730 00:41:15,640 --> 00:41:18,080 Speaker 2: the sort of revulsion around insects, like had you and 731 00:41:18,239 --> 00:41:23,560 Speaker 2: I been raised in a similar environment except for our parents, 732 00:41:23,680 --> 00:41:26,120 Speaker 2: or our small community or our city or our state 733 00:41:26,280 --> 00:41:30,920 Speaker 2: or whatever embraced eating insects more. Do you think that, 734 00:41:31,400 --> 00:41:34,120 Speaker 2: you know, we would just completely be fine with it. 735 00:41:34,160 --> 00:41:35,719 Speaker 2: Do you think that there would be like some level 736 00:41:35,760 --> 00:41:37,640 Speaker 2: of a version that we couldn't put our finger on? Like, 737 00:41:37,680 --> 00:41:38,560 Speaker 2: what are your thoughts on that? 738 00:41:38,880 --> 00:41:40,600 Speaker 1: I've actually thought about this a lot? This is a 739 00:41:40,600 --> 00:41:44,680 Speaker 1: great question, Okay. I mean there are absolutely certain versions 740 00:41:44,719 --> 00:41:48,280 Speaker 1: we have that may be innate in terms of like 741 00:41:48,280 --> 00:41:50,759 Speaker 1: like things that are like spider shaped, snake shaped. We 742 00:41:50,840 --> 00:41:53,760 Speaker 1: have sort of this like innate kind of like the reflex, 743 00:41:53,880 --> 00:41:58,640 Speaker 1: which can be overridden by say learning about them or 744 00:41:58,680 --> 00:42:02,520 Speaker 1: culturally overridden people because I mean people keep snakes as pets, 745 00:42:02,600 --> 00:42:05,799 Speaker 1: people keep tarantulas as pets. These kinds of fears can 746 00:42:06,280 --> 00:42:11,799 Speaker 1: be overwritten by new information eating insects. It's hard to 747 00:42:11,880 --> 00:42:16,640 Speaker 1: say whether we have an innate revulsion to insects in 748 00:42:16,760 --> 00:42:21,560 Speaker 1: terms of a food source. My suspicion is that maybe 749 00:42:22,120 --> 00:42:26,480 Speaker 1: for some insects we might things that are pests, right that, like, 750 00:42:26,760 --> 00:42:31,520 Speaker 1: are things that we may see as like unsanitary or 751 00:42:31,600 --> 00:42:39,400 Speaker 1: pests like parasites. Yeah, perhaps there is grubs exactly exactly 752 00:42:39,440 --> 00:42:43,280 Speaker 1: and so we we do have an evolutionary history of 753 00:42:43,440 --> 00:42:48,239 Speaker 1: being insectivorous. And you know, even even with parasites, right, 754 00:42:48,280 --> 00:42:51,680 Speaker 1: like you pick mites and ticks and stuff and fleas 755 00:42:51,760 --> 00:42:54,239 Speaker 1: off of your friend and you eat it. And so 756 00:42:55,800 --> 00:43:00,000 Speaker 1: in terms of what we do know is there are 757 00:43:00,040 --> 00:43:03,880 Speaker 1: a lot of human cultures that exist today where insect 758 00:43:03,920 --> 00:43:07,080 Speaker 1: eating is not taboo, it is not considered gross, and 759 00:43:07,120 --> 00:43:12,400 Speaker 1: people enjoy eating insects, and so it is clearly something 760 00:43:12,400 --> 00:43:14,480 Speaker 1: that answer to your question of like, if we had 761 00:43:14,520 --> 00:43:18,440 Speaker 1: been raised different would we find would we find insects 762 00:43:18,440 --> 00:43:19,040 Speaker 1: gross to eat? 763 00:43:19,400 --> 00:43:19,560 Speaker 3: No? 764 00:43:19,680 --> 00:43:21,200 Speaker 1: I don't think so. I think if we had been 765 00:43:21,280 --> 00:43:25,239 Speaker 1: raised that we eat cicadas, you know, every year in 766 00:43:25,280 --> 00:43:27,279 Speaker 1: a big cicada eating festival, I think we would not 767 00:43:27,320 --> 00:43:28,000 Speaker 1: find that gross. 768 00:43:28,880 --> 00:43:30,400 Speaker 2: Just I agree with you. It's kind of a bummer 769 00:43:30,520 --> 00:43:32,600 Speaker 2: if you look a bumer opportunity exactly. 770 00:43:32,640 --> 00:43:34,759 Speaker 1: This is how I feel. It's like I want to 771 00:43:35,239 --> 00:43:37,759 Speaker 1: if I have children, I want to figure out a 772 00:43:37,800 --> 00:43:40,680 Speaker 1: way to not make them feel grossed out by the 773 00:43:40,719 --> 00:43:43,880 Speaker 1: concept of eating bugs, you know, just in case, like 774 00:43:43,960 --> 00:43:47,640 Speaker 1: you know, the meat industry collapses in the future, and 775 00:43:47,840 --> 00:43:51,279 Speaker 1: you know what, like give them more options. But no, 776 00:43:51,360 --> 00:43:53,760 Speaker 1: but I mean it's also like bugs are kind of pretty, 777 00:43:53,800 --> 00:43:55,800 Speaker 1: and some of them sort of look like candy. I 778 00:43:55,840 --> 00:43:58,160 Speaker 1: don't know, Like, if I look at a bug, I'm like, 779 00:43:58,800 --> 00:44:01,640 Speaker 1: that might be kind of fun to eat, But then 780 00:44:01,680 --> 00:44:03,719 Speaker 1: when I think about eating it with all the little 781 00:44:03,800 --> 00:44:07,000 Speaker 1: legs and the segments that, I'm like, no, that seems bad. 782 00:44:07,000 --> 00:44:08,520 Speaker 1: I don't want to do that. But then part of 783 00:44:08,560 --> 00:44:11,879 Speaker 1: me is like, ah, but I'm curious. Yeah, it's hard 784 00:44:11,880 --> 00:44:16,120 Speaker 1: to override the the revulsion, but I want to. But yeah, 785 00:44:16,160 --> 00:44:19,000 Speaker 1: I think so there's two options. I think one is 786 00:44:19,040 --> 00:44:21,880 Speaker 1: that we could have an innate aversion to it, but 787 00:44:22,239 --> 00:44:25,799 Speaker 1: one that is overridden by culture, or we do not 788 00:44:25,960 --> 00:44:28,960 Speaker 1: have an innate aversion to it. And so depending on 789 00:44:29,000 --> 00:44:32,120 Speaker 1: your culture, you're even you're either taught in aversion to 790 00:44:32,200 --> 00:44:35,520 Speaker 1: insects or you are not taught it, And I suspect 791 00:44:35,560 --> 00:44:39,319 Speaker 1: it's the latter. I don't think we're born with an 792 00:44:39,360 --> 00:44:45,000 Speaker 1: aversion to eating insects, unless maybe there's a very specific 793 00:44:45,080 --> 00:44:47,640 Speaker 1: kind of like maybe we're we have an aversion to spiders. 794 00:44:47,760 --> 00:44:51,000 Speaker 1: That would make sense, Yeah, but eating any insect I 795 00:44:51,000 --> 00:44:53,520 Speaker 1: don't know, because like something like what is really the 796 00:44:53,560 --> 00:44:58,000 Speaker 1: difference between say, like a shrimp and a cricket in 797 00:44:58,080 --> 00:45:01,520 Speaker 1: terms of like their looks, you know, when I was 798 00:45:01,600 --> 00:45:03,520 Speaker 1: This is a fun story, but like when I was 799 00:45:03,560 --> 00:45:05,640 Speaker 1: a and I think I've told it on the show 800 00:45:05,680 --> 00:45:08,240 Speaker 1: probably like a million times, so sorry for repeating myself. 801 00:45:08,239 --> 00:45:11,520 Speaker 1: But when I was a toddler, I would eat snails 802 00:45:11,960 --> 00:45:14,640 Speaker 1: like a baby, like baby toddler, like crawling around kind 803 00:45:14,640 --> 00:45:16,320 Speaker 1: of in the yard. I would pick up snails and 804 00:45:16,360 --> 00:45:21,200 Speaker 1: eat them. And somehow I as an adult, like I 805 00:45:21,239 --> 00:45:25,080 Speaker 1: am grossed out by snails. But then there's a lot 806 00:45:25,080 --> 00:45:29,480 Speaker 1: of like right now I'm living in Northern Italy, like 807 00:45:30,400 --> 00:45:32,759 Speaker 1: escargoes on the menu all the time, and a lot 808 00:45:32,800 --> 00:45:34,839 Speaker 1: of people like it, and it's like I can't eat 809 00:45:34,880 --> 00:45:37,080 Speaker 1: it now because I'm grossed out. But when I was 810 00:45:37,120 --> 00:45:39,920 Speaker 1: a baby, I would eat raw snails out of the garden. 811 00:45:40,480 --> 00:45:43,680 Speaker 1: So yeah, so I feel like I really do think 812 00:45:43,719 --> 00:45:48,239 Speaker 1: the the general aversion to all insects, I don't think 813 00:45:48,320 --> 00:45:51,879 Speaker 1: that that's innate. I think we learned that maybe there's 814 00:45:51,880 --> 00:45:55,960 Speaker 1: specific insects that may be, you know, like spiders that 815 00:45:56,160 --> 00:45:58,080 Speaker 1: we have. 816 00:45:59,040 --> 00:46:01,640 Speaker 2: So it just and I know you need to move on, 817 00:46:01,719 --> 00:46:03,400 Speaker 2: but just to put a button on this and to 818 00:46:03,440 --> 00:46:06,239 Speaker 2: bring it back around to to like your own backyard 819 00:46:06,320 --> 00:46:08,880 Speaker 2: like one's own backyard. One of the things that's been 820 00:46:08,960 --> 00:46:10,520 Speaker 2: kind of running in the background has we've been talking 821 00:46:10,560 --> 00:46:12,680 Speaker 2: about this for me is like, when I think about 822 00:46:12,719 --> 00:46:15,080 Speaker 2: the insects I see in my own yard, if I 823 00:46:15,080 --> 00:46:17,160 Speaker 2: had to eat one of them, I'm going to take 824 00:46:17,200 --> 00:46:19,000 Speaker 2: snails off the menu, because I feel like I do 825 00:46:19,080 --> 00:46:21,600 Speaker 2: have tons of snails and I'm gonna take I'm gonna 826 00:46:21,600 --> 00:46:24,120 Speaker 2: take like grasshoppers, snails, and crickets off the menu because 827 00:46:24,160 --> 00:46:27,879 Speaker 2: I feel like I've already been given permission to eat those, right. 828 00:46:28,200 --> 00:46:31,000 Speaker 2: I have an idea. I know what I categorically would 829 00:46:31,040 --> 00:46:33,560 Speaker 2: one hundred percent avoid, and I include spiders and I 830 00:46:33,600 --> 00:46:36,640 Speaker 2: and I am afraid of spiders, but I've really come 831 00:46:36,680 --> 00:46:40,040 Speaker 2: a long way. I feel much more friendly with them now. Now. 832 00:46:40,040 --> 00:46:41,799 Speaker 2: When I am gardening and I pull up a rock 833 00:46:41,840 --> 00:46:44,480 Speaker 2: and there's a giant wolf spider that, you know, hunkers 834 00:46:44,760 --> 00:46:46,959 Speaker 2: and sort of proud, just trying not to be seen, 835 00:46:47,400 --> 00:46:49,719 Speaker 2: I'm like, hey, buddy, I'm not gonna hurt you. Like 836 00:46:49,800 --> 00:46:52,600 Speaker 2: that's okay, I'm sorry, I interrupted. Whereas like when I 837 00:46:52,640 --> 00:46:54,520 Speaker 2: was younger, I would have squealed and run away and 838 00:46:54,560 --> 00:46:56,360 Speaker 2: not been in the garden. And when I say younger, 839 00:46:56,560 --> 00:46:59,440 Speaker 2: I mean like twenty I mean like twenty five. I 840 00:46:59,440 --> 00:47:02,399 Speaker 2: don't mean like I've gotten much better about that. I've 841 00:47:02,440 --> 00:47:04,680 Speaker 2: gotten much better about ore weavers. Now I can stand 842 00:47:04,760 --> 00:47:06,920 Speaker 2: right next to them as they're building a web and 843 00:47:06,960 --> 00:47:10,560 Speaker 2: look at how crazy and scary they look, and really say, wow, 844 00:47:10,600 --> 00:47:13,200 Speaker 2: you're working so hard on that. And the chances are 845 00:47:13,280 --> 00:47:15,520 Speaker 2: fair that this is gonna get broken before you're even done, 846 00:47:15,560 --> 00:47:18,880 Speaker 2: because someone's gonna walk into it or bird's gonna fly. So, 847 00:47:19,200 --> 00:47:21,200 Speaker 2: but I definitely don't want to eat them. I do 848 00:47:21,239 --> 00:47:24,640 Speaker 2: not want to eat spiders. I've decided that I would 849 00:47:24,680 --> 00:47:27,239 Speaker 2: like some roly pulleys. They can go ahead and roll 850 00:47:27,320 --> 00:47:30,799 Speaker 2: up into a perfect circle, perfect sphere will fry them 851 00:47:30,880 --> 00:47:32,720 Speaker 2: up and then they'll just be like these nice little 852 00:47:32,719 --> 00:47:36,239 Speaker 2: crunchy bits. Yeah, and that feels that feels doable to me. 853 00:47:36,400 --> 00:47:38,359 Speaker 2: Like that feels even more doable to me in some 854 00:47:38,400 --> 00:47:40,279 Speaker 2: cases than like, you know, even just thinking about like 855 00:47:40,280 --> 00:47:43,440 Speaker 2: crickets or snails, like somehow just because it becomes an 856 00:47:43,800 --> 00:47:47,279 Speaker 2: like a shape instead of a creature. Yes, if you 857 00:47:47,280 --> 00:47:50,000 Speaker 2: want to roll yourself up, we could turn them into dippin' dots, like, 858 00:47:50,239 --> 00:47:52,880 Speaker 2: there are options. We have a cereal we have options 859 00:47:52,920 --> 00:47:55,279 Speaker 2: for those tiny little roly pulleys, which are also very cute, 860 00:47:55,280 --> 00:47:56,719 Speaker 2: and I don't mind crawling on me. So I feel 861 00:47:56,760 --> 00:47:59,440 Speaker 2: kind of guilty saying that. But I'm and what I 862 00:47:59,480 --> 00:48:01,160 Speaker 2: know I won't Another thing I know I won't eat 863 00:48:01,239 --> 00:48:04,680 Speaker 2: is I forget what their actual name. They're like Latin 864 00:48:04,760 --> 00:48:06,520 Speaker 2: name or their scientific name is, but what we call 865 00:48:06,600 --> 00:48:10,279 Speaker 2: mustache bugs. I don't need to eat a bug that 866 00:48:10,360 --> 00:48:12,439 Speaker 2: it has all of those legs, like you were saying, 867 00:48:12,480 --> 00:48:15,399 Speaker 2: I mean, those are like it's like eating a little brush. 868 00:48:15,600 --> 00:48:17,640 Speaker 2: It's like eating I mean, I guess. But when I 869 00:48:17,760 --> 00:48:19,440 Speaker 2: when I was growing up, I thought of a millipede 870 00:48:19,440 --> 00:48:21,000 Speaker 2: and a centipede as being these sort. 871 00:48:20,880 --> 00:48:24,480 Speaker 1: Of how centipede is how I know them. 872 00:48:24,680 --> 00:48:27,680 Speaker 2: Okay, So I mean those things they are like. I mean, 873 00:48:27,800 --> 00:48:29,680 Speaker 2: mustache bug makes a lot of sense because they have 874 00:48:29,760 --> 00:48:34,080 Speaker 2: this bushy look, like a walking mustache. And the idea 875 00:48:34,120 --> 00:48:36,520 Speaker 2: of having to get those little hairy legs down is 876 00:48:36,600 --> 00:48:37,760 Speaker 2: just on a puke. 877 00:48:38,680 --> 00:48:41,560 Speaker 1: The mouthfeel on. That can't be good. The interesting thing 878 00:48:41,560 --> 00:48:45,960 Speaker 1: about the roly pully is those are terrestrial isopods. They 879 00:48:45,960 --> 00:48:47,160 Speaker 1: are actually, that's right. 880 00:48:47,160 --> 00:48:49,960 Speaker 2: They are related to the like fossils. 881 00:48:50,080 --> 00:48:52,719 Speaker 1: Yes, they are related to marine isopods. So they are 882 00:48:53,560 --> 00:48:55,959 Speaker 1: kind of like surf and turf. I guess, all in one, 883 00:48:56,719 --> 00:48:57,279 Speaker 1: all in one. 884 00:48:57,760 --> 00:49:00,640 Speaker 2: Yeah, I feel guilty. I'm sorry, Little roly Poly. Sorry. 885 00:49:00,640 --> 00:49:04,640 Speaker 1: Potato bugs are always fine, It's fine. The great thing 886 00:49:04,640 --> 00:49:06,600 Speaker 1: about the pill bugs is you can just take them 887 00:49:06,600 --> 00:49:08,319 Speaker 1: with a glass of water. If you don't like the 888 00:49:08,360 --> 00:49:13,239 Speaker 1: mouthfeel of the crunching, you know, that's me. I mean, 889 00:49:13,280 --> 00:49:16,080 Speaker 1: I feel like ants is kind of cheating. I've eaten ants. 890 00:49:16,280 --> 00:49:18,880 Speaker 1: It's they just taste like eating a little graine of pepper. 891 00:49:20,000 --> 00:49:20,960 Speaker 2: Yeah, they're very spicy. 892 00:49:21,000 --> 00:49:26,240 Speaker 1: They're very spicy. But yeah, I don't like grubs. Grubs 893 00:49:26,320 --> 00:49:29,600 Speaker 1: isn't something I want to eat. That's the scene in 894 00:49:29,640 --> 00:49:34,880 Speaker 1: the Lion King has always grossed me out. My gosh, 895 00:49:35,000 --> 00:49:38,360 Speaker 1: you know it's hard, Like, man, I don't like anything 896 00:49:38,400 --> 00:49:41,120 Speaker 1: that has like a pop to it, like a like 897 00:49:41,160 --> 00:49:44,719 Speaker 1: a gusher sort of thing. So spiders. Spider's definitely not 898 00:49:46,560 --> 00:49:51,080 Speaker 1: I don't you know, like anything where you bite down 899 00:49:51,080 --> 00:49:53,279 Speaker 1: on it and there's like a pop and like a no, 900 00:49:54,760 --> 00:49:55,480 Speaker 1: I don't want. 901 00:49:55,280 --> 00:49:58,680 Speaker 2: To you got me? Yeah, No, you're so right. 902 00:49:58,600 --> 00:50:02,320 Speaker 1: Yes, that's not a situation I want. So it's like, oh, yeah, 903 00:50:02,400 --> 00:50:05,759 Speaker 1: so what what isn't like that. I don't know. I'm 904 00:50:05,800 --> 00:50:09,960 Speaker 1: trying to think, oh man, because I was gonna say butterfly, 905 00:50:10,040 --> 00:50:12,799 Speaker 1: but I feel like their bodies. No, that wouldn't be good. 906 00:50:13,040 --> 00:50:18,440 Speaker 1: That would not be good. No, I mean I honestly, like, what. 907 00:50:18,440 --> 00:50:20,879 Speaker 2: About like a little beetle, Oh, poor beetle. 908 00:50:20,680 --> 00:50:24,200 Speaker 1: Little beetle, like if it's really small though, Yeah, I 909 00:50:24,239 --> 00:50:27,560 Speaker 1: feel like crunchy bugs are better than squishy Yeah, but 910 00:50:28,280 --> 00:50:31,160 Speaker 1: bugs that pop in your mouth, like that's not like 911 00:50:31,200 --> 00:50:36,160 Speaker 1: I'm even dressed out like I used to have. I 912 00:50:36,480 --> 00:50:39,239 Speaker 1: don't like killing spiders once in a while. It's like 913 00:50:39,280 --> 00:50:43,680 Speaker 1: a kind of a necessity situation, especially like if it's 914 00:50:43,680 --> 00:50:46,040 Speaker 1: a venomous species. It's like I'm sorry, you know, I 915 00:50:46,040 --> 00:50:46,640 Speaker 1: gotta I. 916 00:50:46,600 --> 00:50:49,920 Speaker 2: Know, I'm not. I'm okay killing and I feel I 917 00:50:49,920 --> 00:50:50,760 Speaker 2: feel bad about. 918 00:50:50,520 --> 00:50:53,279 Speaker 1: It, like I don't want to, but I will do it. 919 00:50:53,320 --> 00:50:55,520 Speaker 1: And then but the popping sound that they make, like 920 00:50:55,520 --> 00:50:58,000 Speaker 1: when I hate it, I feel it's like I feel 921 00:50:58,040 --> 00:50:59,600 Speaker 1: guilty and it's disgusting. 922 00:51:00,200 --> 00:51:02,200 Speaker 2: Put in your cicada at earplugs. 923 00:51:03,080 --> 00:51:04,880 Speaker 1: Just like please scream in my ears. 924 00:51:04,680 --> 00:51:07,719 Speaker 2: And wear a boot with a big, like a really 925 00:51:07,800 --> 00:51:10,799 Speaker 2: chunky feel, so that you not your foot is experiencing. 926 00:51:11,160 --> 00:51:13,080 Speaker 1: No, I hate it. It's like it's like popping, is 927 00:51:13,120 --> 00:51:15,759 Speaker 1: is it? But it's it's but it's a spider. It's 928 00:51:15,840 --> 00:51:19,120 Speaker 1: so right. No, it's so with any spider that I 929 00:51:19,160 --> 00:51:21,920 Speaker 1: do not have to like that is not venomous, I 930 00:51:22,040 --> 00:51:26,920 Speaker 1: like leave alone, or like like transfer outside or something. 931 00:51:27,320 --> 00:51:29,960 Speaker 1: Jumping spiders are adorable and I love them, and they 932 00:51:29,960 --> 00:51:33,000 Speaker 1: can stay in the house because they are really cute. 933 00:51:33,320 --> 00:51:35,680 Speaker 2: I've never I don't know what jumping spider you're talking about, 934 00:51:35,719 --> 00:51:39,080 Speaker 2: but unfortunately, the only most recent jumping spider I had 935 00:51:39,160 --> 00:51:42,279 Speaker 2: discussed with anyone is like the Huntsman spider in Australia, 936 00:51:42,320 --> 00:51:45,160 Speaker 2: which sounds like the stuff of nightmares. Oh no, so 937 00:51:45,160 --> 00:51:48,759 Speaker 2: so jumping really big, Yeah, but you're talking about small. 938 00:51:48,840 --> 00:51:50,920 Speaker 1: This is yeah, this is a These are it's not 939 00:51:51,040 --> 00:51:53,040 Speaker 1: just these are not just spiders that jump. There's a 940 00:51:53,040 --> 00:51:56,360 Speaker 1: whole range of species of these, these spiders called jumping spiders, 941 00:51:56,480 --> 00:52:00,320 Speaker 1: and they're tiny and they're cute. And I'm going to 942 00:52:00,440 --> 00:52:02,680 Speaker 1: find a picture for you actually, because this is very important. 943 00:52:02,719 --> 00:52:04,719 Speaker 2: I mean, does it look like just so your average 944 00:52:05,120 --> 00:52:07,640 Speaker 2: little house spider that's kind of just really small and 945 00:52:07,880 --> 00:52:09,080 Speaker 2: doing it doing its own thing. 946 00:52:09,160 --> 00:52:11,640 Speaker 1: Really like they are. They're like to me, they are 947 00:52:11,680 --> 00:52:15,400 Speaker 1: actively cute. Let me see if I can find like 948 00:52:16,560 --> 00:52:20,720 Speaker 1: a good representation of why I find them cute. 949 00:52:21,640 --> 00:52:23,160 Speaker 2: I mean, they are not a good sign that you're 950 00:52:23,200 --> 00:52:25,520 Speaker 2: having to come through multiple photos. 951 00:52:27,320 --> 00:52:30,000 Speaker 1: I'm just saying, put one of your best eight feet forward. 952 00:52:30,320 --> 00:52:34,920 Speaker 1: It's uh, here we go. This one's this is a 953 00:52:34,920 --> 00:52:36,280 Speaker 1: good one because he's waving. 954 00:52:38,040 --> 00:52:39,719 Speaker 2: Oh yeah, give me a wave. I'll take the wave. 955 00:52:40,360 --> 00:52:40,759 Speaker 1: Here we go. 956 00:52:41,440 --> 00:52:44,399 Speaker 2: You know, I'm sorry, the scope of my whole day 957 00:52:44,440 --> 00:52:45,600 Speaker 2: feels like it changed. 958 00:52:45,640 --> 00:52:48,200 Speaker 1: But think about that pop it's a terrible thing. 959 00:52:48,320 --> 00:52:51,120 Speaker 2: Oh yeah, yeah, well that looks like a tarantula kind 960 00:52:51,120 --> 00:52:54,239 Speaker 2: of kind But they're teen, But those are I don't 961 00:52:54,239 --> 00:52:57,080 Speaker 2: know if I've seen. I mean, I guess if I 962 00:52:57,280 --> 00:53:00,520 Speaker 2: haven't seen, I'm gonna have to look. I mean, I show. 963 00:53:00,360 --> 00:53:02,319 Speaker 1: You just a photo of what it looks like on 964 00:53:02,360 --> 00:53:05,040 Speaker 1: something like so you can see, yeah, what it looks 965 00:53:05,080 --> 00:53:08,239 Speaker 1: like without the close because this is like close up photography. 966 00:53:08,840 --> 00:53:10,600 Speaker 1: And then this is just what it looks like on 967 00:53:11,200 --> 00:53:11,839 Speaker 1: someone's hand. 968 00:53:13,760 --> 00:53:14,879 Speaker 2: All right, let's have a look at. 969 00:53:14,760 --> 00:53:15,720 Speaker 1: This or fingers. 970 00:53:15,719 --> 00:53:18,239 Speaker 2: Oh yeah, I mean I'm sure I've seen those little guys. Yeah, 971 00:53:18,280 --> 00:53:20,759 Speaker 2: those little guys. Yeah, I don't have a problem with 972 00:53:20,800 --> 00:53:24,080 Speaker 2: those at all. Well, I see those one except yeah, 973 00:53:24,120 --> 00:53:26,680 Speaker 2: for sure. I mean, can they also like dangle down 974 00:53:26,760 --> 00:53:29,000 Speaker 2: on via a web or do they just jump? Like 975 00:53:29,080 --> 00:53:32,719 Speaker 2: do they do you see them floating kind of like 976 00:53:32,920 --> 00:53:34,719 Speaker 2: on your range top. I'll look and be like, what 977 00:53:34,760 --> 00:53:35,239 Speaker 2: are you doing? 978 00:53:35,680 --> 00:53:39,040 Speaker 1: Most of you doing this aren't really so much gonna 979 00:53:39,040 --> 00:53:41,040 Speaker 1: do that, Like most of them just kind of walk around. 980 00:53:41,040 --> 00:53:44,160 Speaker 1: They do produce webs to some extent. Some of them 981 00:53:44,160 --> 00:53:46,960 Speaker 1: are a little bigger. I actually still find the bigger 982 00:53:46,960 --> 00:53:48,600 Speaker 1: ones cute, like. 983 00:53:48,520 --> 00:53:50,160 Speaker 2: Are they eating gnats and stuff? 984 00:53:50,200 --> 00:53:50,279 Speaker 1: Like? 985 00:53:50,320 --> 00:53:50,960 Speaker 2: Are they eating? 986 00:53:51,320 --> 00:53:54,399 Speaker 1: Like, yeah, they kind of like cut down there. 987 00:53:55,840 --> 00:53:58,160 Speaker 2: Quite large. You look like a little fairy kind of 988 00:53:58,280 --> 00:54:02,360 Speaker 2: you look like a hairy Harry fairy fairy. 989 00:54:03,040 --> 00:54:05,720 Speaker 1: But he's got like a little mustache, which is actually 990 00:54:05,800 --> 00:54:08,880 Speaker 1: just it's petipalps, the little things on its face. 991 00:54:09,880 --> 00:54:12,720 Speaker 2: Extremely cute. Yeah, I mean again, you're kind of getting 992 00:54:12,719 --> 00:54:15,680 Speaker 2: into like something that yeah, sort of cartoonish looking exactly. 993 00:54:15,920 --> 00:54:18,680 Speaker 2: I like tarantula's and wolf spiders because I like their 994 00:54:18,680 --> 00:54:22,160 Speaker 2: little their fur, because fur it feels less threatening to 995 00:54:22,200 --> 00:54:26,240 Speaker 2: me than the hard what's that called precipice, crep escape? 996 00:54:26,400 --> 00:54:26,879 Speaker 2: What is it? 997 00:54:28,440 --> 00:54:31,640 Speaker 1: I look carapace is I think carapace. 998 00:54:32,239 --> 00:54:35,160 Speaker 2: But I love I don't need to say a hard yeah, 999 00:54:36,040 --> 00:54:37,239 Speaker 2: I love that. 1000 00:54:37,280 --> 00:54:39,600 Speaker 1: Those are great words. Even if I can just. 1001 00:54:39,520 --> 00:54:42,640 Speaker 2: Get some of the syllables or any of the letters. 1002 00:54:42,960 --> 00:54:45,040 Speaker 2: They don't even have to be an order. Yeah, I 1003 00:54:45,080 --> 00:54:48,799 Speaker 2: don't need that shiny. I mean, boy, if ever there 1004 00:54:49,080 --> 00:54:52,279 Speaker 2: was a that a creature that looked venomous, it's a 1005 00:54:52,280 --> 00:54:54,680 Speaker 2: black widow. I mean, all power to them again, I 1006 00:54:54,760 --> 00:54:59,359 Speaker 2: will kill them. But it's very impressive. How macabre and 1007 00:54:59,760 --> 00:55:00,359 Speaker 2: bo do they? 1008 00:55:00,480 --> 00:55:05,120 Speaker 1: They're very much they they they as as the kids say, 1009 00:55:05,160 --> 00:55:10,120 Speaker 1: they read the assignment, they read the assignment. But the 1010 00:55:10,239 --> 00:55:13,720 Speaker 1: funny thing about the funny thing now I'm doing the tangent. 1011 00:55:13,760 --> 00:55:15,880 Speaker 1: But the funny thing about the hairs. Like liking the 1012 00:55:15,880 --> 00:55:18,120 Speaker 1: fuzzy spiders, which I agree with, I think they're cute. 1013 00:55:18,280 --> 00:55:20,919 Speaker 1: A lot of these fuzzy spiders have what are called 1014 00:55:21,000 --> 00:55:25,120 Speaker 1: irridicating hairs. They are actually irritating hairs that are meant 1015 00:55:25,200 --> 00:55:27,120 Speaker 1: to like kind of come out like a lot of tarantulas, 1016 00:55:27,160 --> 00:55:28,560 Speaker 1: Like if you pet them, you can actually kind of 1017 00:55:28,560 --> 00:55:31,960 Speaker 1: get a rash. Because they are meant to be protective parents. 1018 00:55:32,160 --> 00:55:34,560 Speaker 1: It's like yeah, where it's like, don't pet me. Like, 1019 00:55:34,719 --> 00:55:37,000 Speaker 1: but some of them you can actually pet because they're 1020 00:55:37,000 --> 00:55:38,520 Speaker 1: not they're not gonna hurt you. But a lot of 1021 00:55:38,560 --> 00:55:41,120 Speaker 1: tarantulas you pet them and then their hairs like kind 1022 00:55:41,120 --> 00:55:42,920 Speaker 1: of come off, and then now you've got a rash 1023 00:55:43,000 --> 00:55:44,280 Speaker 1: on your whoops. 1024 00:55:44,320 --> 00:55:45,799 Speaker 2: But thank you. Yeah. 1025 00:55:45,840 --> 00:55:48,200 Speaker 1: Before before we take a break and move on to 1026 00:55:48,239 --> 00:55:52,080 Speaker 1: the next section, UH, if you want to join sort 1027 00:55:52,120 --> 00:55:58,120 Speaker 1: of these cicada tracker community, you can go to cicadasafari 1028 00:55:58,200 --> 00:56:03,040 Speaker 1: dot org uh and kind of submit the photos or 1029 00:56:03,120 --> 00:56:07,040 Speaker 1: observations you make for cicada Gadden twenty twenty four. I 1030 00:56:07,080 --> 00:56:09,880 Speaker 1: don't know if they're calling it cicada gaeddin. I'm trying 1031 00:56:09,880 --> 00:56:14,319 Speaker 1: to make that happen. I think they even have like 1032 00:56:14,320 --> 00:56:18,840 Speaker 1: an iPhone app. So yeah, cicadasafari dot org and you 1033 00:56:18,960 --> 00:56:25,520 Speaker 1: can you too, can join in on the cicada adventure. 1034 00:56:26,600 --> 00:56:28,120 Speaker 1: So we are going to take a quick break and 1035 00:56:28,200 --> 00:56:30,320 Speaker 1: when we come back, we're gonna have one more short 1036 00:56:30,320 --> 00:56:38,000 Speaker 1: story about citizen sciences discovering something really weird. All right, right, 1037 00:56:38,200 --> 00:56:42,160 Speaker 1: so we are back. Citizen science does not just occur 1038 00:56:42,239 --> 00:56:47,880 Speaker 1: in the US. It is an international phenomenon. And so 1039 00:56:48,480 --> 00:56:54,080 Speaker 1: in UH, in India, in the Western Ghats, there was 1040 00:56:54,120 --> 00:57:00,080 Speaker 1: a group of herpetology frog enthusiasts just kind of going 1041 00:57:00,120 --> 00:57:06,800 Speaker 1: around making observations, taking photos, and they found a frog 1042 00:57:07,080 --> 00:57:09,759 Speaker 1: with a mushroom growing out of it's But. 1043 00:57:11,840 --> 00:57:15,040 Speaker 2: Wow, I've I don't know what I would have needed 1044 00:57:15,040 --> 00:57:16,400 Speaker 2: to do to get ready for this. I know I 1045 00:57:16,440 --> 00:57:18,040 Speaker 2: didn't do it, and I'm not ready for it. And 1046 00:57:18,080 --> 00:57:20,680 Speaker 2: I'm looking at a picture and I think I know 1047 00:57:21,400 --> 00:57:23,840 Speaker 2: which thing was a reference to the last of us. 1048 00:57:24,000 --> 00:57:28,000 Speaker 1: It's this. It's definitely this. Yeah, So, to be a 1049 00:57:28,080 --> 00:57:31,360 Speaker 1: little more honest, it's coming out of its rear flank. 1050 00:57:31,760 --> 00:57:33,720 Speaker 1: I don't know if you can call out it's but 1051 00:57:34,640 --> 00:57:39,840 Speaker 1: I'm gonna I'm gonna say it. But and it's like 1052 00:57:39,880 --> 00:57:43,320 Speaker 1: a literal tiny I'm not talking about a fungal infection 1053 00:57:43,600 --> 00:57:46,840 Speaker 1: like oh, you know athletes. But it's a literal mushroom, 1054 00:57:47,040 --> 00:57:50,080 Speaker 1: little mushroom like a little a white stem and a 1055 00:57:50,080 --> 00:57:53,480 Speaker 1: white little cap. It's a tiny mushroom growing out of 1056 00:57:53,480 --> 00:57:56,080 Speaker 1: this poor, cute, little innocent frog. 1057 00:57:56,880 --> 00:57:57,160 Speaker 2: Yeah. 1058 00:57:57,480 --> 00:58:02,840 Speaker 1: Yeah, so, uh, this frog is a h it is 1059 00:58:03,000 --> 00:58:07,040 Speaker 1: called I forgot its name. I wrote it down. The 1060 00:58:07,040 --> 00:58:12,120 Speaker 1: frog is a rouse golden black rows golden backed frog. 1061 00:58:12,200 --> 00:58:15,760 Speaker 1: Actually the full name is like rouse intermediate golden backed frog, 1062 00:58:15,840 --> 00:58:18,760 Speaker 1: which is a mouthful I'm just gonna call it a 1063 00:58:18,760 --> 00:58:23,680 Speaker 1: little cutie. Uh. So it's it is alive, and so 1064 00:58:23,720 --> 00:58:26,160 Speaker 1: it's not like a situation where it's dead and then 1065 00:58:26,200 --> 00:58:28,840 Speaker 1: the mushroom's growing out of its dead body. That wouldn't 1066 00:58:28,840 --> 00:58:32,840 Speaker 1: be as interesting. No, it's alive and it has this tiny, 1067 00:58:32,920 --> 00:58:38,920 Speaker 1: perfect little mushroom growing out of its rump. These hobbyists, 1068 00:58:38,960 --> 00:58:44,440 Speaker 1: these these herpetology hobbyists like snapped a picture. They didn't 1069 00:58:44,680 --> 00:58:47,160 Speaker 1: capture the frog because they were being respectful. They didn't 1070 00:58:47,160 --> 00:58:51,120 Speaker 1: want to like, you know, mess with the environment at all. 1071 00:58:51,200 --> 00:58:54,919 Speaker 1: They but they they took a couple of pictures and 1072 00:58:55,040 --> 00:58:58,040 Speaker 1: they published their picture in the Journal of Reptiles and 1073 00:58:58,160 --> 00:59:03,080 Speaker 1: Amphibians and then frog that picture. Even more nature enthusiasts, 1074 00:59:03,120 --> 00:59:06,400 Speaker 1: like my cologists and like mushroom hobbyists like looked at 1075 00:59:06,400 --> 00:59:10,040 Speaker 1: this mushroom like trying to identify will what is the mushroom? 1076 00:59:10,120 --> 00:59:12,880 Speaker 1: You know, what the frog is? What's the mushroom? The 1077 00:59:12,920 --> 00:59:16,320 Speaker 1: most likely candidate that they came up with is the 1078 00:59:16,360 --> 00:59:20,720 Speaker 1: bonnet mushroom, which is a Mycena fungus that typically lives 1079 00:59:20,720 --> 00:59:23,920 Speaker 1: on rotting wood and not It is not known to 1080 00:59:24,120 --> 00:59:29,840 Speaker 1: like be a parasite of frogs. So this is really interesting. 1081 00:59:30,640 --> 00:59:34,480 Speaker 2: Wow, so what do we what do we do with this? 1082 00:59:34,760 --> 00:59:36,840 Speaker 1: Right? Like, is this like the start of sort of 1083 00:59:36,880 --> 00:59:42,600 Speaker 1: a last of Us frog apocalypse? I mean probably not right, 1084 00:59:42,760 --> 00:59:46,720 Speaker 1: Like it could just be a fluke somehow. There's this 1085 00:59:46,760 --> 00:59:51,120 Speaker 1: thing where sometimes a it's actually in I don't know 1086 00:59:51,120 --> 00:59:53,960 Speaker 1: if you'd call it my isis when it comes to fungus, 1087 00:59:54,040 --> 00:59:57,200 Speaker 1: But when it comes to say, like like larvae that 1088 00:59:57,360 --> 01:00:02,400 Speaker 1: accidentally become parasites, it's called my assis where it's like, 1089 01:00:02,480 --> 01:00:04,680 Speaker 1: say you get like a fly larvae in your in 1090 01:00:04,720 --> 01:00:07,000 Speaker 1: your gut, and it's like living there. It's not an 1091 01:00:07,040 --> 01:00:10,880 Speaker 1: obligate parasite. It doesn't need to be a parasite. But 1092 01:00:10,920 --> 01:00:13,560 Speaker 1: then it has found its way inside a yeah, and 1093 01:00:13,600 --> 01:00:16,680 Speaker 1: it's making the best out of a bad situation. That 1094 01:00:16,840 --> 01:00:20,320 Speaker 1: is what I would guess is going on with this 1095 01:00:20,320 --> 01:00:24,920 Speaker 1: this mushroom, like a spore somehow got under this frog's 1096 01:00:24,960 --> 01:00:27,480 Speaker 1: skin or inside of this frog. Yeah, and then it 1097 01:00:27,600 --> 01:00:32,560 Speaker 1: managed to sprout its way out of the frog. But yeah, 1098 01:00:32,600 --> 01:00:35,480 Speaker 1: it's still it's like extreme. Like. The other option could 1099 01:00:35,480 --> 01:00:39,080 Speaker 1: be that there is a type of fungal infection. There's 1100 01:00:39,200 --> 01:00:42,200 Speaker 1: that fungus it is actually the fungus that the Last 1101 01:00:42,240 --> 01:00:44,919 Speaker 1: of Us game and TV show is based on. It's 1102 01:00:44,920 --> 01:00:49,480 Speaker 1: called ophio cordyceps and that does actually yeah, that does 1103 01:00:49,520 --> 01:00:53,800 Speaker 1: actually infect insects like ants, grasshopper, spiders and then grows 1104 01:00:53,840 --> 01:00:56,160 Speaker 1: out of like it kills them, but then it like 1105 01:00:56,200 --> 01:00:57,800 Speaker 1: grows sprouts out of their body. 1106 01:00:59,360 --> 01:01:03,800 Speaker 2: One of the all time great reality based yes, like 1107 01:01:03,960 --> 01:01:06,120 Speaker 2: versions of Armageddon. 1108 01:01:06,920 --> 01:01:09,440 Speaker 1: Yeah, no, I I I appre I very much appreciate 1109 01:01:09,560 --> 01:01:12,520 Speaker 1: the the sort of I mean so I did a 1110 01:01:12,560 --> 01:01:14,960 Speaker 1: whole You can probably look back in the show's history. 1111 01:01:14,960 --> 01:01:17,320 Speaker 1: We did an episode on the Last of Us like 1112 01:01:17,560 --> 01:01:20,680 Speaker 1: mostly I really love it. There was one like one 1113 01:01:20,760 --> 01:01:23,960 Speaker 1: line where it was like they in the show saying like, oh, 1114 01:01:24,000 --> 01:01:27,800 Speaker 1: there's no treatment for fungus, Like we've got antibiotics, but 1115 01:01:27,840 --> 01:01:28,760 Speaker 1: we don't have anything. 1116 01:01:28,840 --> 01:01:30,960 Speaker 2: Wait what that's not true. It's not true at all. 1117 01:01:31,000 --> 01:01:33,080 Speaker 2: We have anti fungals in any way. Have you heard 1118 01:01:33,120 --> 01:01:37,280 Speaker 2: of athletes heard, Yes, we have. Have you heard of yea? 1119 01:01:37,600 --> 01:01:41,240 Speaker 1: And even for like brain like fungus, like there are 1120 01:01:41,440 --> 01:01:45,040 Speaker 1: there are fungi you know that can infect the brain. 1121 01:01:46,520 --> 01:01:49,840 Speaker 1: We have treatments for that too, and it's very books. 1122 01:01:50,360 --> 01:01:52,440 Speaker 1: Well yeah, but you know you have to have some 1123 01:01:52,520 --> 01:01:56,320 Speaker 1: kind of dramatic thing going on, I guess. Anyways, so 1124 01:01:56,400 --> 01:01:58,800 Speaker 1: this poor frog, it's got a little mushroom growing on us. 1125 01:01:58,960 --> 01:01:59,840 Speaker 1: But actually we don't know. 1126 01:02:00,080 --> 01:02:02,960 Speaker 2: Cute frog, it's a cute mushroom. They're both cute. 1127 01:02:03,000 --> 01:02:08,200 Speaker 1: Maybe they're working together. We don't know. If this frog 1128 01:02:08,400 --> 01:02:11,200 Speaker 1: is upset with this mushroom. Maybe it doesn't even notice it. 1129 01:02:11,280 --> 01:02:15,120 Speaker 1: Maybe they're friends. Who knows. Because, like, frogs can be 1130 01:02:15,240 --> 01:02:18,400 Speaker 1: infected with fungus, but again, similar to athlete's foot, it's 1131 01:02:18,400 --> 01:02:21,840 Speaker 1: not like a whole mushroom, like a whole ass mushroom 1132 01:02:21,880 --> 01:02:24,400 Speaker 1: growing out of the ass of the frog. That's not 1133 01:02:24,640 --> 01:02:28,040 Speaker 1: like generally how fungal infections work in frogs. It's like 1134 01:02:28,040 --> 01:02:31,200 Speaker 1: a fungal infection and a human, you know, you might 1135 01:02:31,280 --> 01:02:33,680 Speaker 1: see like a film or something on their skin, but 1136 01:02:33,760 --> 01:02:37,200 Speaker 1: it's not going to be like, hey, I'm a mushroom. 1137 01:02:37,640 --> 01:02:42,280 Speaker 1: I'm growing out of this frog. So if you find 1138 01:02:43,160 --> 01:02:46,360 Speaker 1: if you live in Indian and you live in the 1139 01:02:46,400 --> 01:02:49,080 Speaker 1: western guts, and you find a frog with a mushroom 1140 01:02:49,120 --> 01:02:51,880 Speaker 1: growing out of its butt, do take a photo. I mean, 1141 01:02:51,880 --> 01:02:54,200 Speaker 1: if you live anywhere and you find a mushroom growing. 1142 01:02:54,040 --> 01:02:56,440 Speaker 2: Out of a yeah, frog, fair, fair enough. 1143 01:02:56,560 --> 01:02:59,720 Speaker 1: Or anywhere out of the frog take a photo, you know, 1144 01:03:00,120 --> 01:03:04,800 Speaker 1: because that might be interesting. Uh, who knows. Maybe this 1145 01:03:04,840 --> 01:03:06,800 Speaker 1: is a one time deal. Maybe it's a new trend, 1146 01:03:06,880 --> 01:03:11,480 Speaker 1: maybe it's a new sort of frog fashion. We'll only 1147 01:03:11,560 --> 01:03:15,160 Speaker 1: know if we all join together to try to find 1148 01:03:15,200 --> 01:03:16,520 Speaker 1: more mushroom frogs. 1149 01:03:17,480 --> 01:03:19,640 Speaker 2: I mean, it's very interesting. It's interesting in the sense that, 1150 01:03:19,680 --> 01:03:21,440 Speaker 2: of course, like I mean, you were of course you're 1151 01:03:21,480 --> 01:03:24,040 Speaker 2: talking about the idea of you know, something being more 1152 01:03:24,080 --> 01:03:29,840 Speaker 2: incidentally parasitic than being you know, intentionally. So but when 1153 01:03:29,840 --> 01:03:32,240 Speaker 2: I see something like this, like what does jump into 1154 01:03:32,280 --> 01:03:34,680 Speaker 2: my mind is the sort of more I mean, I 1155 01:03:34,680 --> 01:03:37,600 Speaker 2: guess it's everything that's that spreads seeds through. But like 1156 01:03:37,760 --> 01:03:40,640 Speaker 2: thinking about you know, my dog picking up you know, 1157 01:03:40,720 --> 01:03:43,880 Speaker 2: briers or picking up you know, little thistles and stuff 1158 01:03:43,960 --> 01:03:47,400 Speaker 2: like that, it is intentionally going into his hair so 1159 01:03:47,440 --> 01:03:49,960 Speaker 2: that it can spread to a location that it couldn't 1160 01:03:49,960 --> 01:03:53,400 Speaker 2: get to otherwise. So yeah, it's funny because like obviously 1161 01:03:53,400 --> 01:03:56,720 Speaker 2: this isn't necessarily that, but it does feel like you could, 1162 01:03:57,000 --> 01:03:59,600 Speaker 2: in that way imagine somehow the mushroom. 1163 01:03:59,240 --> 01:04:00,960 Speaker 1: Is like I'd like to try, you know what I mean, 1164 01:04:01,000 --> 01:04:04,920 Speaker 1: I just think, yeah, dispersal is very important for a 1165 01:04:04,960 --> 01:04:09,479 Speaker 1: lot of sort of immobile organisms, and so in a way, 1166 01:04:09,600 --> 01:04:12,960 Speaker 1: like it's that's what Opeo Cordyceps is doing with the insects. 1167 01:04:13,000 --> 01:04:16,800 Speaker 1: So one could imagine that this could adapt in order 1168 01:04:16,840 --> 01:04:19,480 Speaker 1: to use the frogs and in a lot of cases 1169 01:04:19,520 --> 01:04:23,200 Speaker 1: like an adaptation maybe sort of, you know, it is 1170 01:04:23,320 --> 01:04:25,720 Speaker 1: like a random thing that can happen, either a random 1171 01:04:25,800 --> 01:04:31,040 Speaker 1: mutation or something that happens, right like maybe originally with 1172 01:04:31,080 --> 01:04:34,640 Speaker 1: the opiod Cordyceps, like a curious ant eats it, you know, 1173 01:04:34,840 --> 01:04:37,720 Speaker 1: they eat these spores and then this starts to happen, 1174 01:04:37,760 --> 01:04:41,880 Speaker 1: and then the the fungus adapts more and more in 1175 01:04:42,000 --> 01:04:45,280 Speaker 1: order to exploit this situation. So you know, like even 1176 01:04:45,320 --> 01:04:50,160 Speaker 1: if this is an accident, right, it could the course 1177 01:04:50,160 --> 01:04:52,640 Speaker 1: of evolution could make it less and less of an accident. 1178 01:04:52,680 --> 01:04:54,800 Speaker 1: Where this special is like, actually, I've got a pretty 1179 01:04:54,800 --> 01:04:58,480 Speaker 1: sweet deal here growing out of this frog. I got 1180 01:04:58,560 --> 01:04:59,800 Speaker 1: I got free transportation. 1181 01:05:00,640 --> 01:05:03,360 Speaker 2: Yeah, are you kidding me? Absolutely? And as far as 1182 01:05:03,360 --> 01:05:06,880 Speaker 2: that poor little aunt, listen, we like curiosity. Don't feel 1183 01:05:06,880 --> 01:05:09,280 Speaker 2: like you can't be curious, but maybe just don't eat 1184 01:05:09,320 --> 01:05:14,200 Speaker 2: something in the wild. You can be curious and learn 1185 01:05:14,640 --> 01:05:17,040 Speaker 2: you don't have to learn by eating a fungus you're 1186 01:05:17,080 --> 01:05:19,160 Speaker 2: not sure about spores. 1187 01:05:18,760 --> 01:05:23,560 Speaker 1: And you just say no. The their program for ants 1188 01:05:23,800 --> 01:05:28,360 Speaker 1: did not work. H Nancy reag Ant was not to 1189 01:05:28,600 --> 01:05:33,960 Speaker 1: not to write on this issue. So wo before we go, 1190 01:05:34,040 --> 01:05:36,560 Speaker 1: we do got to play a little game. It is 1191 01:05:36,680 --> 01:05:39,520 Speaker 1: called the guess who squawk and Mystery animal sound game. 1192 01:05:39,600 --> 01:05:42,560 Speaker 1: Every week I play a mystery animal sound and you 1193 01:05:42,720 --> 01:05:44,840 Speaker 1: the listener, and you the guests, try to guess who 1194 01:05:44,920 --> 01:05:49,760 Speaker 1: is making that sound. The hint last week was this, 1195 01:05:49,760 --> 01:05:52,480 Speaker 1: this bearded fellow is the bell of the ball. 1196 01:06:03,320 --> 01:06:05,320 Speaker 2: WHOA? 1197 01:06:06,800 --> 01:06:09,280 Speaker 1: All right? So Janet, whoa? 1198 01:06:09,360 --> 01:06:10,640 Speaker 2: What happened at the end? 1199 01:06:10,920 --> 01:06:14,720 Speaker 1: It's an same animal, new sound, same animal. 1200 01:06:15,000 --> 01:06:21,520 Speaker 2: That was It dropped a sick beat at the end. Yeah, okay, 1201 01:06:21,680 --> 01:06:24,440 Speaker 2: this bearded beauty is the bearded beauty. 1202 01:06:24,480 --> 01:06:28,360 Speaker 1: This bearded beard fellow is the bearded fellow. Who's to 1203 01:06:28,400 --> 01:06:29,680 Speaker 1: say he's not beautiful? Though? 1204 01:06:29,720 --> 01:06:35,280 Speaker 2: Okay, so it's so bearded. The thing that is confusing 1205 01:06:35,280 --> 01:06:37,400 Speaker 2: for me is like I'm realizing that I don't know 1206 01:06:37,440 --> 01:06:40,960 Speaker 2: if we use the word beard across like a bunch 1207 01:06:41,000 --> 01:06:44,000 Speaker 2: of difference fauna, or if it because I feel like 1208 01:06:44,000 --> 01:06:47,120 Speaker 2: when I think of beard, I feel like, Okay, well 1209 01:06:47,160 --> 01:06:50,320 Speaker 2: I know that the people talk about bearded lizards. I 1210 01:06:50,320 --> 01:06:53,080 Speaker 2: know people will talk about, like, you know, bearded primates, 1211 01:06:54,440 --> 01:06:58,720 Speaker 2: people talk about, you know, bearded dogs. Have I heard 1212 01:06:59,280 --> 01:07:02,439 Speaker 2: a beard describe? Like, who's is there a bird out 1213 01:07:02,440 --> 01:07:06,560 Speaker 2: there that's being described as being bearded? I don't know so, 1214 01:07:07,600 --> 01:07:10,400 Speaker 2: but probably, I mean, I guess probably, But beard is 1215 01:07:10,400 --> 01:07:15,160 Speaker 2: funny to imagine with something with a beak, so I guess. 1216 01:07:15,200 --> 01:07:17,920 Speaker 2: So the problem was is that my first inclination when 1217 01:07:17,920 --> 01:07:20,960 Speaker 2: I heard that sound was to go monkey, because I 1218 01:07:21,320 --> 01:07:24,240 Speaker 2: because I heard bearded And immediately it was like, oh, okay, well, 1219 01:07:24,480 --> 01:07:27,000 Speaker 2: you know that's a chitterer chirp that could maybe be 1220 01:07:27,080 --> 01:07:28,920 Speaker 2: a bird and maybe be a monkey. Again as a 1221 01:07:29,200 --> 01:07:32,400 Speaker 2: total a person who has no idea about anything. Um, 1222 01:07:33,560 --> 01:07:35,640 Speaker 2: then you hit me with the sounds at the end, 1223 01:07:35,680 --> 01:07:38,680 Speaker 2: and now I feel even more confused. That feels like 1224 01:07:39,320 --> 01:07:43,200 Speaker 2: again I could not know less about animals. The something 1225 01:07:43,200 --> 01:07:47,800 Speaker 2: about the rhythmic nature of that almost felt more like well, 1226 01:07:47,840 --> 01:07:49,600 Speaker 2: it felt like it was coming from the chest or 1227 01:07:49,640 --> 01:07:53,040 Speaker 2: throat somehow, more like the sort of pulse of like right, 1228 01:07:53,080 --> 01:07:56,840 Speaker 2: like it's this kind of explanation of sound more than 1229 01:07:56,960 --> 01:07:59,120 Speaker 2: like up in the front of the mouth or the beak, 1230 01:07:59,160 --> 01:08:01,200 Speaker 2: and I don't know if that again, I'm basically this 1231 01:08:01,240 --> 01:08:03,880 Speaker 2: is not absolutely nothing, but that kind of freaked me 1232 01:08:03,880 --> 01:08:06,600 Speaker 2: out because it was so consistent for so long that 1233 01:08:06,640 --> 01:08:09,480 Speaker 2: felt like maybe more of a bird sound. So I 1234 01:08:09,480 --> 01:08:11,400 Speaker 2: guess what I'm trying to say is I'm completely and 1235 01:08:11,400 --> 01:08:13,760 Speaker 2: totally stumped. And it may be none of the things 1236 01:08:13,800 --> 01:08:15,960 Speaker 2: I've mentioned and be a totally different creature, and I 1237 01:08:15,960 --> 01:08:16,679 Speaker 2: have no idea. 1238 01:08:17,240 --> 01:08:20,080 Speaker 1: You for someone who keeps saying like, oh, I don't 1239 01:08:20,080 --> 01:08:23,840 Speaker 1: know anything about animals, you your ability to zero in 1240 01:08:23,880 --> 01:08:26,599 Speaker 1: on the right questions is very impressive because you. 1241 01:08:26,479 --> 01:08:29,920 Speaker 2: Are right, this is a bird, okay. 1242 01:08:29,600 --> 01:08:33,000 Speaker 1: And it is coming from the throat, and you're right 1243 01:08:33,080 --> 01:08:36,599 Speaker 1: that this is a bearded bird. This is the bearded 1244 01:08:36,760 --> 01:08:39,760 Speaker 1: bell bird, so a bell of the ball. 1245 01:08:39,840 --> 01:08:42,000 Speaker 2: There was even more information packed into that clue than 1246 01:08:42,040 --> 01:08:42,800 Speaker 2: I realized. 1247 01:08:42,960 --> 01:08:47,840 Speaker 1: Yes, the clues, it's all, mister policeman. I've left all 1248 01:08:47,880 --> 01:08:52,080 Speaker 1: the clues. I don't remember them. But yeah, this is 1249 01:08:52,160 --> 01:08:57,959 Speaker 1: a bird found in South America. It is found in Venezuela, Trinidad, 1250 01:08:58,000 --> 01:09:02,080 Speaker 1: Tobago and northern Brazil. It lives in humid forests. They 1251 01:09:02,080 --> 01:09:03,280 Speaker 1: are forgiven there. 1252 01:09:03,360 --> 01:09:05,840 Speaker 2: You are. Oh my goodness, you really have a beard. 1253 01:09:05,960 --> 01:09:07,080 Speaker 1: They really have a beard. 1254 01:09:07,640 --> 01:09:09,320 Speaker 2: You look like you hung it or you hung it 1255 01:09:09,360 --> 01:09:10,040 Speaker 2: around your neck. 1256 01:09:10,240 --> 01:09:13,360 Speaker 1: It is these are it kind of looks like feathers, 1257 01:09:13,400 --> 01:09:16,880 Speaker 1: but these are not feathers. These are actually wattles. So 1258 01:09:16,920 --> 01:09:22,400 Speaker 1: these are fleshy projections. Wow, coming off of their chin. 1259 01:09:23,680 --> 01:09:26,120 Speaker 1: They are Otherwise you know, they're they're nice looking. They 1260 01:09:26,120 --> 01:09:28,439 Speaker 1: have sort of like a brown head, a white body, 1261 01:09:28,560 --> 01:09:31,680 Speaker 1: and black wings. But it's that beard that is so 1262 01:09:32,080 --> 01:09:33,360 Speaker 1: unique about them. 1263 01:09:33,840 --> 01:09:36,120 Speaker 2: I have to say, it's clearly wattles. I mean, to me, 1264 01:09:36,200 --> 01:09:38,280 Speaker 2: it doesn't look like feathers. You really can see that. 1265 01:09:38,360 --> 01:09:41,760 Speaker 2: It has the consistency of like almost like rubber. Like yes, 1266 01:09:42,040 --> 01:09:44,599 Speaker 2: if you're tapped against them, they would be like, yeah 1267 01:09:45,560 --> 01:09:47,439 Speaker 2: they Why did they need that for? 1268 01:09:47,800 --> 01:09:50,559 Speaker 1: That is to track the ladies to be as sexy 1269 01:09:50,600 --> 01:09:56,120 Speaker 1: as possible. They're not. You don't find that, you don't 1270 01:09:56,120 --> 01:09:56,920 Speaker 1: find that handsome. 1271 01:09:57,120 --> 01:10:00,519 Speaker 2: I love it. I'm just so amazed because it's just 1272 01:10:00,560 --> 01:10:02,960 Speaker 2: one of those times where you know, look, I know 1273 01:10:02,960 --> 01:10:05,400 Speaker 2: we're not supposed to anthropomorphize, and I know that you know, 1274 01:10:05,560 --> 01:10:10,559 Speaker 2: we can't relate everything to humanity, but that being said, 1275 01:10:10,640 --> 01:10:13,320 Speaker 2: it's just so funny that you know, that's a real 1276 01:10:13,400 --> 01:10:17,760 Speaker 2: aesthetic choice, like like like a strap and dude with 1277 01:10:17,800 --> 01:10:20,280 Speaker 2: like a big, great lumberjack beard, you know. I mean 1278 01:10:20,280 --> 01:10:22,400 Speaker 2: that's a look, and that's a look that you know, 1279 01:10:22,479 --> 01:10:25,960 Speaker 2: some people call like the Portland, Oregon look. You know, 1280 01:10:26,120 --> 01:10:28,720 Speaker 2: also like being bald and having a big beard. Like 1281 01:10:28,760 --> 01:10:31,200 Speaker 2: I have several friends who sort of are rocking that 1282 01:10:31,280 --> 01:10:33,519 Speaker 2: look and they wear it well, and I like them 1283 01:10:33,520 --> 01:10:36,599 Speaker 2: better with beards. I like my friends who have those beards. 1284 01:10:36,880 --> 01:10:39,639 Speaker 2: I like them better with them. And so it's amazing 1285 01:10:39,680 --> 01:10:43,040 Speaker 2: to me. Again, no shade to this bird unless it 1286 01:10:43,080 --> 01:10:44,920 Speaker 2: wants it, which it does because it's a venezuela so 1287 01:10:44,920 --> 01:10:48,719 Speaker 2: it's a lot of green, So some shade as a gift. 1288 01:10:49,800 --> 01:10:52,360 Speaker 2: It's just very funny that it's like, oh, I get it. Yeah, 1289 01:10:53,040 --> 01:10:55,880 Speaker 2: facial hair looks. Yeah, it's a good look for some people. 1290 01:10:56,000 --> 01:10:58,320 Speaker 1: You mentioned that it's like not good to anthropomorphize, but 1291 01:10:58,360 --> 01:11:01,519 Speaker 1: I would say it's okay some situations, especially when it 1292 01:11:01,560 --> 01:11:04,519 Speaker 1: comes to birds aesthetic choice, because a lot of these 1293 01:11:04,600 --> 01:11:10,080 Speaker 1: choices are complete, they seem to be pretty subjective and 1294 01:11:10,280 --> 01:11:14,439 Speaker 1: with no real like practical purpose, right like does this 1295 01:11:14,520 --> 01:11:18,120 Speaker 1: model actually do anything? Well, not necessarily. It could just 1296 01:11:18,120 --> 01:11:20,320 Speaker 1: be that the females are like that looks good. I 1297 01:11:20,479 --> 01:11:23,720 Speaker 1: like that as is the call. The call is to 1298 01:11:23,760 --> 01:11:26,720 Speaker 1: attract the females over and it's very very loud. It's 1299 01:11:26,720 --> 01:11:29,640 Speaker 1: one of the loudest bird calls. Uh. And that is 1300 01:11:29,680 --> 01:11:34,040 Speaker 1: in order to get females to come over from great distances. 1301 01:11:34,280 --> 01:11:36,920 Speaker 1: And then once they get there, he will show off 1302 01:11:37,000 --> 01:11:41,719 Speaker 1: his amazing bird, his amazing beard, his plumage and hope 1303 01:11:41,760 --> 01:11:45,479 Speaker 1: that she is impressed. H And so yeah, I mean 1304 01:11:46,320 --> 01:11:48,240 Speaker 1: it kind of like to kind of like people. 1305 01:11:49,280 --> 01:11:50,920 Speaker 2: And I have to say too, I mean, as part 1306 01:11:51,000 --> 01:11:53,439 Speaker 2: of that, like you hear that. And I was thinking 1307 01:11:53,479 --> 01:11:55,800 Speaker 2: about that in terms of some of the little froggies 1308 01:11:55,880 --> 01:11:59,920 Speaker 2: in Hawaii, for example, like part of being living inside 1309 01:12:00,160 --> 01:12:02,559 Speaker 2: kind of a jungle environment, it seems like everybody's trying 1310 01:12:02,600 --> 01:12:04,639 Speaker 2: to be louder than everybody else. So it must make 1311 01:12:04,720 --> 01:12:08,080 Speaker 2: everyone so loud because there are so many sounds and 1312 01:12:08,120 --> 01:12:11,400 Speaker 2: calls happening in a really lush landscape like that that 1313 01:12:11,520 --> 01:12:13,439 Speaker 2: no wonder everybody has to play their music a little 1314 01:12:13,439 --> 01:12:16,360 Speaker 2: bit louder than everybody else, you know. Also, yes, exactly 1315 01:12:17,280 --> 01:12:19,880 Speaker 2: this led me to it also offered me up. There's 1316 01:12:19,920 --> 01:12:22,200 Speaker 2: lots of wonderful pictures of the bearded bell bird, but 1317 01:12:22,240 --> 01:12:25,320 Speaker 2: it also offered me up the three the three wattled 1318 01:12:25,360 --> 01:12:27,479 Speaker 2: bell birds. I don't know if you've seen this. I 1319 01:12:27,479 --> 01:12:30,960 Speaker 2: mean that is an amazing, like sort of Fu Manchu mustache. Yes, 1320 01:12:31,080 --> 01:12:34,439 Speaker 2: and it is very special. Indeed, so I have two 1321 01:12:34,479 --> 01:12:35,519 Speaker 2: new favorite birds there. 1322 01:12:35,840 --> 01:12:41,080 Speaker 1: Yeah, the bill birds are quite ostentatious. I highly encourage 1323 01:12:41,080 --> 01:12:45,040 Speaker 1: you to explore them all. But yeah, their their facial 1324 01:12:45,120 --> 01:12:49,880 Speaker 1: business is incredible and in diverse and yeah, absolutely they 1325 01:12:49,920 --> 01:12:51,840 Speaker 1: are competing for yes. 1326 01:12:51,960 --> 01:12:57,479 Speaker 2: No, this maating moment of what she's sitting nearby going yes, yes, 1327 01:12:57,520 --> 01:13:00,160 Speaker 2: more please seek me. 1328 01:13:00,840 --> 01:13:04,599 Speaker 1: Uh. Yeah, it's it's amazing. Uh. It is very cute 1329 01:13:04,640 --> 01:13:08,080 Speaker 1: and kind of pathetic the way males to suit a 1330 01:13:08,160 --> 01:13:14,520 Speaker 1: lens to you across the females. No kidding, so sorry, 1331 01:13:14,720 --> 01:13:20,000 Speaker 1: So onto the next mister annimal sound the hint is this, Well, 1332 01:13:20,200 --> 01:13:22,280 Speaker 1: I've already given you a hint this episode, so no 1333 01:13:22,360 --> 01:13:32,879 Speaker 1: more hints. All right, you got any guesses? 1334 01:13:34,160 --> 01:13:37,200 Speaker 2: I mean, based on the hint about the hint, I 1335 01:13:37,200 --> 01:13:39,040 Speaker 2: guess I would say it sounds like it could be. 1336 01:13:41,520 --> 01:13:45,960 Speaker 2: And God, that's an irritating sense between that and the 1337 01:13:46,000 --> 01:13:48,280 Speaker 2: sound of drones in the park when you're just like 1338 01:13:48,400 --> 01:13:50,240 Speaker 2: wanting to have a nice walk you don't want to 1339 01:13:50,280 --> 01:13:53,000 Speaker 2: hear and the sound of a mosquito in your ear. 1340 01:13:53,040 --> 01:13:57,640 Speaker 2: I mean those are there's metallic, Yeah, those metallic, multi 1341 01:13:57,760 --> 01:14:05,320 Speaker 2: level metallic person distant buzzes. Unfortunately to me, if you 1342 01:14:05,439 --> 01:14:07,920 Speaker 2: wanted to make a horror movie about people going crazy, 1343 01:14:08,000 --> 01:14:10,720 Speaker 2: not unlike you know, the sort of like great, you know, 1344 01:14:10,880 --> 01:14:14,000 Speaker 2: great and good rabid zombie, you know, sort of like 1345 01:14:14,040 --> 01:14:15,720 Speaker 2: oh this is like Raby's it makes it wants to 1346 01:14:15,760 --> 01:14:18,280 Speaker 2: spread by blah blah blah. If there's some incentive to 1347 01:14:19,080 --> 01:14:21,280 Speaker 2: having a sound that makes people want to hurt each other. 1348 01:14:22,200 --> 01:14:24,840 Speaker 2: I mean, I just feel like my temper is so 1349 01:14:25,040 --> 01:14:28,559 Speaker 2: much shortened by being in that noise for a length 1350 01:14:28,560 --> 01:14:28,880 Speaker 2: of time. 1351 01:14:28,960 --> 01:14:31,240 Speaker 1: I wish you had written bird box because I think 1352 01:14:31,439 --> 01:14:34,320 Speaker 1: you could have made it. There you go, Yeah, you 1353 01:14:34,360 --> 01:14:38,519 Speaker 1: are absolutely correct, so which means I'm going to bleep 1354 01:14:38,560 --> 01:14:42,439 Speaker 1: out just your correct answer so other people can guess. 1355 01:14:43,080 --> 01:14:46,120 Speaker 1: But the people do know, they will know that you 1356 01:14:46,160 --> 01:14:50,599 Speaker 1: are correct, and so you can you have won the prize, 1357 01:14:50,680 --> 01:14:52,840 Speaker 1: which is a thumbs up. 1358 01:14:56,600 --> 01:14:59,000 Speaker 2: I'm a painful pleaser. Just give me that. Just give 1359 01:14:59,000 --> 01:14:59,280 Speaker 2: me that. 1360 01:14:59,280 --> 01:15:03,879 Speaker 1: A A plus with a little thunderful. Well it's scratch 1361 01:15:03,920 --> 01:15:05,920 Speaker 1: and sifts you know like a little Oh, you can 1362 01:15:06,000 --> 01:15:09,000 Speaker 1: better bundle of grapes or an orange or something. Man, 1363 01:15:09,040 --> 01:15:09,439 Speaker 1: I love it. 1364 01:15:09,600 --> 01:15:10,240 Speaker 2: Yeah. 1365 01:15:10,280 --> 01:15:12,559 Speaker 1: Well, Janet, thank you so much for joining me today. 1366 01:15:12,560 --> 01:15:17,960 Speaker 2: We're Katie. They can find me, I guess mostly on Instagram. 1367 01:15:17,680 --> 01:15:21,519 Speaker 2: I'm decent on Instagram. Blow please don't DM me. Find 1368 01:15:21,520 --> 01:15:24,360 Speaker 2: me at my website Janetvarney dot com. I never check 1369 01:15:24,400 --> 01:15:27,720 Speaker 2: my dms, but on Instagram, at the JV Club, and 1370 01:15:27,960 --> 01:15:29,880 Speaker 2: you can listen to my podcast on Maximum fund the 1371 01:15:29,960 --> 01:15:32,759 Speaker 2: JV Club. You can also listen to my podcast about 1372 01:15:32,840 --> 01:15:34,880 Speaker 2: Avatar the Last Airbender and the Legend of Cora that 1373 01:15:34,920 --> 01:15:38,480 Speaker 2: I do for Nickelodeon Paramount, which is called Braving the Elements. 1374 01:15:39,040 --> 01:15:41,880 Speaker 2: And if for some reason you're a true crime buff 1375 01:15:41,960 --> 01:15:46,040 Speaker 2: in addition to being a fan of all things natural 1376 01:15:46,080 --> 01:15:49,120 Speaker 2: and wonderful, you can also find me on Truth and Justice, 1377 01:15:49,200 --> 01:15:51,560 Speaker 2: which is a wrongful convictions podcast. 1378 01:15:51,920 --> 01:15:52,440 Speaker 1: Amazing. 1379 01:15:53,439 --> 01:15:55,720 Speaker 2: Yeah, thanks for having me. This was I would do 1380 01:15:55,760 --> 01:15:57,839 Speaker 2: this every day. This is so fun. I love your podcast. 1381 01:15:58,080 --> 01:16:01,519 Speaker 1: If Janet's voice sounds familiar and you're an Avatar the 1382 01:16:01,600 --> 01:16:05,960 Speaker 1: Last Airbender fan, she is the voice of Cora, and 1383 01:16:06,960 --> 01:16:12,080 Speaker 1: I'm you've done other voices as well. It's I have 1384 01:16:12,280 --> 01:16:15,160 Speaker 1: this thing that happens when, like, you know, I watched 1385 01:16:15,200 --> 01:16:17,880 Speaker 1: a lot of cartoons because I refuse to grow up. 1386 01:16:18,400 --> 01:16:23,360 Speaker 1: And if I hear a voice actor or actress and 1387 01:16:25,080 --> 01:16:27,559 Speaker 1: I'm like, how do I know you? Like, where do 1388 01:16:27,600 --> 01:16:28,360 Speaker 1: I know you from? 1389 01:16:28,439 --> 01:16:28,559 Speaker 3: Right? 1390 01:16:28,600 --> 01:16:30,599 Speaker 1: Because your voice is I do the same, yeah, where 1391 01:16:30,600 --> 01:16:33,840 Speaker 1: it's like your voice is a little different from the 1392 01:16:34,320 --> 01:16:37,160 Speaker 1: character your voice because you're you're an actress, you do 1393 01:16:37,200 --> 01:16:39,680 Speaker 1: an actual character. Then it's like, man, where do I 1394 01:16:39,720 --> 01:16:41,200 Speaker 1: know you from? 1395 01:16:41,560 --> 01:16:44,240 Speaker 2: Yeah? That's well. I always like to say Korra is 1396 01:16:44,280 --> 01:16:47,880 Speaker 2: just kind of stays at a more consistent, less cartoonish level, 1397 01:16:47,880 --> 01:16:50,519 Speaker 2: which is sort of ironic that like the cartoon I'm 1398 01:16:50,520 --> 01:16:53,479 Speaker 2: best known for is just the most kind of cool 1399 01:16:53,640 --> 01:16:56,240 Speaker 2: version of my voice, and then I'm more of a 1400 01:16:56,240 --> 01:16:58,439 Speaker 2: cartoon than she is. So that's kind of how that 1401 01:16:58,479 --> 01:16:58,960 Speaker 2: panned out. 1402 01:16:59,000 --> 01:17:02,280 Speaker 1: But it's like it's but yeah, the NPR voice, But 1403 01:17:02,880 --> 01:17:06,439 Speaker 1: that's right fantasy, Yes, that's right. Well, thank you so 1404 01:17:06,520 --> 01:17:09,080 Speaker 1: much for joining me today. And if you are enjoying 1405 01:17:09,080 --> 01:17:11,920 Speaker 1: the podcast and you leave a review. I read all 1406 01:17:11,960 --> 01:17:14,680 Speaker 1: of them, every single one. I print them out and 1407 01:17:14,840 --> 01:17:18,439 Speaker 1: I just kind of stack them up and then you know, 1408 01:17:18,520 --> 01:17:20,920 Speaker 1: I you know, like in the movies, where they put 1409 01:17:20,960 --> 01:17:23,240 Speaker 1: a bunch of money and then roll around on it. 1410 01:17:23,360 --> 01:17:26,080 Speaker 1: For some reason, I do that with reviews. Podcast reviews 1411 01:17:26,160 --> 01:17:29,519 Speaker 1: wonderful and thank you so much for the space cssics 1412 01:17:29,520 --> 01:17:32,680 Speaker 1: for their super awesome song XO. Lumina Creature features a 1413 01:17:32,680 --> 01:17:35,599 Speaker 1: production of iHeartRadio. For more podcasts like the one you 1414 01:17:35,680 --> 01:17:38,599 Speaker 1: just heard, visit the iHeart Radio app Apple Podcasts, or Hey, 1415 01:17:38,600 --> 01:17:41,320 Speaker 1: guess what where have you listened to your favorite shows? 1416 01:17:41,640 --> 01:17:43,639 Speaker 1: I don't I don't judge it. I'm not your mother. 1417 01:17:43,800 --> 01:17:45,439 Speaker 1: I can't tell you what to do. You got to 1418 01:17:45,439 --> 01:17:49,120 Speaker 1: make these decisions for yourself. Fly, baby birds, you fly 1419 01:17:49,200 --> 01:17:53,280 Speaker 1: on your own. Now it's time. See you next Wednesday.