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