1
00:00:07,480 --> 00:00:10,840
Speaker 1: Hey, everybody, welcome to Creature feature. I'm your host and

2
00:00:10,960 --> 00:00:15,840
Speaker 1: definitely a human Katie Golden. I studied psychology and evolutionary biology,

3
00:00:15,880 --> 00:00:19,119
Speaker 1: and I like to explore the behaviors of humans and animals.

4
00:00:19,560 --> 00:00:23,760
Speaker 1: It's like a couple's counseling session between humanity and nature. Today,

5
00:00:23,800 --> 00:00:25,279
Speaker 1: I thought we could all use a bit of a

6
00:00:25,520 --> 00:00:28,200
Speaker 1: pick me up, a bit of ear bleach. So we're

7
00:00:28,200 --> 00:00:32,680
Speaker 1: going to talk about cuteness. Why do we love baby animals?

8
00:00:32,720 --> 00:00:35,239
Speaker 1: Do baby animals love us? What are some of the

9
00:00:35,320 --> 00:00:39,960
Speaker 1: cutest studies in science? What's the scientifically proven cutest age

10
00:00:40,000 --> 00:00:42,440
Speaker 1: for a doggie? Discover this and more as we answer

11
00:00:42,479 --> 00:00:44,960
Speaker 1: the age old question, yankes what's it like to give

12
00:00:44,960 --> 00:00:48,919
Speaker 1: birth to a baby porcupine? So some of the cutest

13
00:00:48,920 --> 00:00:53,000
Speaker 1: scientific experiments are conducted on children. All right, that sounded

14
00:00:53,000 --> 00:00:56,360
Speaker 1: way more ominous than it really is. Child development studies

15
00:00:56,360 --> 00:00:59,720
Speaker 1: can be incredibly adorable. Here's one of my favorites. You

16
00:00:59,760 --> 00:01:02,120
Speaker 1: know how young children think that when they cover their

17
00:01:02,160 --> 00:01:06,200
Speaker 1: eyes that they're suddenly invisible. Researchers wanted to see what

18
00:01:06,319 --> 00:01:10,119
Speaker 1: that kid logic is. If you're blind, everyone else is blind,

19
00:01:10,240 --> 00:01:12,480
Speaker 1: or if you think that covering your eyes hides the

20
00:01:12,520 --> 00:01:19,720
Speaker 1: rest of you. Somehow, they tested three and four year olds,

21
00:01:19,760 --> 00:01:22,760
Speaker 1: gave them goggles that were either blacked out, making them

22
00:01:22,760 --> 00:01:26,160
Speaker 1: completely blind, or mirrored where they could see out but

23
00:01:26,240 --> 00:01:30,240
Speaker 1: nobody could see in. Of the thirty seven children, only

24
00:01:30,280 --> 00:01:33,080
Speaker 1: seven could grasp the concept of being able to see

25
00:01:33,120 --> 00:01:36,440
Speaker 1: out of their goggles, while others couldn't see their eyes,

26
00:01:36,560 --> 00:01:38,800
Speaker 1: and all but one of those seven children thought that

27
00:01:38,920 --> 00:01:41,759
Speaker 1: meant they were invisible. They even think that if someone

28
00:01:41,800 --> 00:01:45,120
Speaker 1: else is wearing an eyemask, that person is hidden. It

29
00:01:45,160 --> 00:01:48,160
Speaker 1: seems that their sense of visibility and presence is dictated

30
00:01:48,200 --> 00:01:51,040
Speaker 1: by eye contact, meaning that their sense of self and

31
00:01:51,120 --> 00:01:54,600
Speaker 1: others is guided by their understanding of visual gaze. Maybe

32
00:01:54,600 --> 00:01:57,000
Speaker 1: that's why Peekaboo is such a fun game. You're popping

33
00:01:57,000 --> 00:01:59,560
Speaker 1: in and out of existence like some sort of dark wizard.

34
00:02:00,160 --> 00:02:02,640
Speaker 1: Joining me today is Bridget Greenberg, host of the show

35
00:02:02,760 --> 00:02:06,080
Speaker 1: Rough Stuff, producer and all around awesome gal. Thank you.

36
00:02:06,120 --> 00:02:09,040
Speaker 1: I would also like to add, uh, the cutest guest,

37
00:02:09,360 --> 00:02:13,440
Speaker 1: the cutest guest, So that's that's why we're doing this

38
00:02:13,520 --> 00:02:17,680
Speaker 1: today exactly. Uh. Speaking of the cutest guest, do you

39
00:02:17,720 --> 00:02:21,640
Speaker 1: have any cute baby stories involving you or embarrassing just

40
00:02:21,720 --> 00:02:26,440
Speaker 1: embarrass yourself. Um. Yeah, when I was little, Um, my

41
00:02:26,639 --> 00:02:31,280
Speaker 1: nose is very squishy, like I can bend it all

42
00:02:31,280 --> 00:02:33,800
Speaker 1: the way, can I? Can you see I'm not going

43
00:02:33,840 --> 00:02:39,360
Speaker 1: to touch it. Holy yeah, my nose moves. Is it

44
00:02:39,520 --> 00:02:42,480
Speaker 1: missing cartilage? It's missing cartilage because when I was a baby,

45
00:02:42,639 --> 00:02:48,080
Speaker 1: I just fell on the face and just didn't didn't

46
00:02:48,120 --> 00:02:52,400
Speaker 1: break my fault. And I think that stunted um the

47
00:02:52,400 --> 00:02:55,000
Speaker 1: bone of my nose like a bons I knows. Yeah,

48
00:02:55,080 --> 00:02:58,200
Speaker 1: And now I really like movable squishing crazy. I almost

49
00:02:58,200 --> 00:03:00,000
Speaker 1: doubsked if I could touch it, and then I realized

50
00:03:00,320 --> 00:03:02,960
Speaker 1: would be inappropriate. No, people do it allow when I

51
00:03:02,960 --> 00:03:07,080
Speaker 1: told them it does apparently feel weird. I'll take your

52
00:03:07,080 --> 00:03:10,160
Speaker 1: word for it. You don't have to do it, but

53
00:03:10,240 --> 00:03:12,160
Speaker 1: yeah you can. You can move that nose right around.

54
00:03:13,000 --> 00:03:16,600
Speaker 1: Uh so uh oh. In terms of my baby stories,

55
00:03:16,639 --> 00:03:20,040
Speaker 1: let me think, Um, well, my first word was cookie. Well, no,

56
00:03:20,200 --> 00:03:22,240
Speaker 1: my first I mean my first word was mom and dad.

57
00:03:22,680 --> 00:03:24,880
Speaker 1: Of course mommy and daddy, and then cookie because I

58
00:03:24,919 --> 00:03:28,640
Speaker 1: knew where my priorities were. Um, and I also thought

59
00:03:28,800 --> 00:03:32,880
Speaker 1: that age wasn't linear, so I thought that uh uh,

60
00:03:33,160 --> 00:03:35,480
Speaker 1: I guess as I got older, I would eventually be

61
00:03:35,600 --> 00:03:40,320
Speaker 1: older than my parents. I thought that as well. Really

62
00:03:40,560 --> 00:03:43,360
Speaker 1: I thought that not with my parents, but with my

63
00:03:43,520 --> 00:03:46,120
Speaker 1: younger cousin. I was really afraid because I was a

64
00:03:46,160 --> 00:03:48,160
Speaker 1: young and it was the first time anyone in my

65
00:03:48,200 --> 00:03:50,920
Speaker 1: family was younger than me, and I was really worried

66
00:03:50,960 --> 00:03:53,280
Speaker 1: that I was going to lose that status of being

67
00:03:53,320 --> 00:03:56,760
Speaker 1: an older cousin. Finally, right, because she'd catch up to you. Well,

68
00:03:56,800 --> 00:03:59,680
Speaker 1: one time, this this kid in like kindergarten, was teasing

69
00:03:59,680 --> 00:04:01,920
Speaker 1: me and was like, well, I'm older than you, so

70
00:04:02,000 --> 00:04:03,640
Speaker 1: you have to do what I say. So I was like, well,

71
00:04:03,680 --> 00:04:06,360
Speaker 1: someday I'm gonna be older than you. And she was

72
00:04:06,400 --> 00:04:08,720
Speaker 1: so confused, and I was so certain that that was

73
00:04:08,800 --> 00:04:11,640
Speaker 1: the case. You say stuff with confidence, carry that lesson

74
00:04:11,720 --> 00:04:16,000
Speaker 1: through young Katie Golden. UM. So this kind of reminds

75
00:04:16,000 --> 00:04:18,800
Speaker 1: me of another cute child study. UH. There's something known

76
00:04:18,920 --> 00:04:23,120
Speaker 1: as the scale air study UH that shows that children

77
00:04:23,120 --> 00:04:25,840
Speaker 1: have a pretty loose understanding of scale. So when they're

78
00:04:25,839 --> 00:04:29,040
Speaker 1: presented with life size objects like a slide or one

79
00:04:29,040 --> 00:04:32,039
Speaker 1: of those little toy cars that they ride around in, UM,

80
00:04:32,360 --> 00:04:35,360
Speaker 1: then they'll play in them normally, but then the scientists

81
00:04:35,640 --> 00:04:38,520
Speaker 1: present them with miniature versions of those items. So a

82
00:04:38,600 --> 00:04:41,839
Speaker 1: tiny slide and a tiny toy car, and the kids

83
00:04:41,839 --> 00:04:44,200
Speaker 1: will try to like get in them or sit on

84
00:04:44,240 --> 00:04:47,119
Speaker 1: them just like they were a regular side. So here's

85
00:04:47,160 --> 00:04:51,560
Speaker 1: a here's a few pictures of that happen. They look

86
00:04:51,600 --> 00:04:54,120
Speaker 1: like baby giants. I know they're they're like they try

87
00:04:54,160 --> 00:04:56,560
Speaker 1: to sit on on doll chairs. They try to slide

88
00:04:56,560 --> 00:05:00,440
Speaker 1: down the slide. Um. So the thinking is that, uh,

89
00:05:01,320 --> 00:05:05,039
Speaker 1: in their brains, uh, there's like you have these the

90
00:05:05,120 --> 00:05:10,520
Speaker 1: visual processing center, uh, and it has to combine spatial

91
00:05:10,560 --> 00:05:15,240
Speaker 1: information with information about an object size. But with a child,

92
00:05:15,480 --> 00:05:18,440
Speaker 1: they just can't. They can't get those parts of the

93
00:05:18,520 --> 00:05:22,520
Speaker 1: brain aren't properly communicating, so they can't really integrate these

94
00:05:22,640 --> 00:05:26,239
Speaker 1: uh and then understand that foot can't go in tiny car,

95
00:05:26,440 --> 00:05:30,000
Speaker 1: but they try. They try, They're gonna try. What does

96
00:05:30,040 --> 00:05:33,160
Speaker 1: that also equate to like normal sized objects? Like if

97
00:05:33,160 --> 00:05:34,560
Speaker 1: I put a baby in a driver's seat of the

98
00:05:34,640 --> 00:05:38,200
Speaker 1: car while they try to pedal it, Yeah, probably I

99
00:05:38,240 --> 00:05:41,640
Speaker 1: would assume, so good thing they try to like they

100
00:05:41,640 --> 00:05:43,400
Speaker 1: try to put It's sort of like when kids will

101
00:05:43,400 --> 00:05:45,840
Speaker 1: try to put on their mommy's shoes and like it's

102
00:05:45,839 --> 00:05:47,599
Speaker 1: like they don't care that the shoes are big. They'll

103
00:05:47,600 --> 00:05:49,600
Speaker 1: still put them on and try to walk around, and

104
00:05:49,640 --> 00:05:51,719
Speaker 1: then they'll try to put on dolls shoes too and

105
00:05:51,760 --> 00:05:55,800
Speaker 1: see if those fit. Yeah, uh, that makes sense. I did.

106
00:05:56,279 --> 00:05:58,880
Speaker 1: I did get my arms stuck in a stair banister.

107
00:05:59,000 --> 00:06:02,159
Speaker 1: So I feel like it's a same thing. Yes, you're

108
00:06:02,279 --> 00:06:09,200
Speaker 1: totally normal, Bridget's. It wasn't my head, it was my arms. Well,

109
00:06:09,279 --> 00:06:11,160
Speaker 1: I mean if it was your head, though, you wouldn't

110
00:06:11,200 --> 00:06:13,520
Speaker 1: have to worry about like trying to get out with

111
00:06:13,560 --> 00:06:15,719
Speaker 1: your nose because you could squish your nose. Because yeah,

112
00:06:15,720 --> 00:06:19,320
Speaker 1: because my nose, you're like you're kind of like a

113
00:06:19,360 --> 00:06:21,920
Speaker 1: cat where you can like smoosh yourself through. Yeah, I'm

114
00:06:22,000 --> 00:06:29,360
Speaker 1: liquid like the terminator. Um. Well, speaking of really cute

115
00:06:29,400 --> 00:06:37,960
Speaker 1: scale things, we're gonna shift the conversation to baby loggerhead turtles. Turtles. So, uh,

116
00:06:38,000 --> 00:06:41,599
Speaker 1: there's some sea turtles out there that are wearing tiny swimsuits.

117
00:06:41,839 --> 00:06:47,039
Speaker 1: No freaking here we go. Here's the picture. Oh it's

118
00:06:47,120 --> 00:06:50,880
Speaker 1: like a little it's a little one piece swimsuit. Um,

119
00:06:51,080 --> 00:06:54,880
Speaker 1: like a little rash guard. Yes, exactly. So researchers at

120
00:06:54,880 --> 00:06:59,200
Speaker 1: the University of Queensland and Australia are providing them with these, uh,

121
00:06:59,440 --> 00:07:02,799
Speaker 1: these swims it's like, oh, who are you wearing? University

122
00:07:02,800 --> 00:07:07,320
Speaker 1: of Queensland and Australia swim week turtles. So they're part

123
00:07:07,400 --> 00:07:13,920
Speaker 1: of a study that aims to analyze their poopies. Yeah.

124
00:07:14,120 --> 00:07:18,239
Speaker 1: So the problem is that researchers really want to collect

125
00:07:18,400 --> 00:07:21,119
Speaker 1: the sea turtle poop, but it's hard because they poop

126
00:07:21,120 --> 00:07:23,160
Speaker 1: in the ocean and then it just gets dispersed in

127
00:07:23,160 --> 00:07:25,440
Speaker 1: the water. You can't you can't get that sweet, sweet

128
00:07:25,440 --> 00:07:29,320
Speaker 1: turtle poop, right right. Uh. So they developed a special

129
00:07:29,400 --> 00:07:32,600
Speaker 1: poop tube to collect the poop. But the only way

130
00:07:32,640 --> 00:07:35,120
Speaker 1: to attach the poop tube to the sea turtle in

131
00:07:35,160 --> 00:07:39,400
Speaker 1: a noninvasive way is to attach it to a total

132
00:07:39,880 --> 00:07:45,800
Speaker 1: onesie swimsuit. Um. And so that they called the swimsuits nappies,

133
00:07:45,920 --> 00:07:50,400
Speaker 1: which I think is Australian for diaper. Um. It's like, well,

134
00:07:50,480 --> 00:07:55,800
Speaker 1: let's say turtles. Wait, that's not really no, No, you're

135
00:07:55,840 --> 00:08:01,280
Speaker 1: going there Scottish. Let's um, let's let see I am Australian.

136
00:08:01,520 --> 00:08:07,360
Speaker 1: I am Australian sea turtles. Where that was almost David,

137
00:08:08,240 --> 00:08:11,080
Speaker 1: I can't do it. It's it's they all blend together

138
00:08:11,200 --> 00:08:14,600
Speaker 1: to me. Um. So the study is an attempt to

139
00:08:14,720 --> 00:08:17,640
Speaker 1: discover the sea turtles diets, so they can find out

140
00:08:17,640 --> 00:08:21,360
Speaker 1: where the turtles forage for food. Uh, and how to

141
00:08:21,440 --> 00:08:25,600
Speaker 1: better protect the turtles from human activity. Uh. So that's

142
00:08:25,880 --> 00:08:29,600
Speaker 1: a poop tube is a word that like, the sea

143
00:08:29,600 --> 00:08:31,840
Speaker 1: turtle swimsuits gave me a lot of joy, but poop

144
00:08:31,880 --> 00:08:35,840
Speaker 1: tube also gave me poop tube sea turtles swim suits,

145
00:08:36,000 --> 00:08:39,760
Speaker 1: say the turtles. It sounds like something they would advertise

146
00:08:39,800 --> 00:08:43,720
Speaker 1: on like Nickelodeon toys, like those commercials baby swimsuit poop

147
00:08:43,760 --> 00:08:49,800
Speaker 1: tube turtles, Like like teenage mutant like, yeah, baby swimsup.

148
00:08:50,200 --> 00:08:54,480
Speaker 1: How's the song go baby swimsuit bo turtles? I feel

149
00:08:54,520 --> 00:08:56,559
Speaker 1: like I'm thinking more of the duck tails. The song

150
00:08:56,640 --> 00:09:06,520
Speaker 1: poop tube baby turtle was wearing swimsuits. Poop tube. That's adorable.

151
00:09:07,800 --> 00:09:11,240
Speaker 1: Have you ever wondered what the exact cutest ages for

152
00:09:11,320 --> 00:09:16,240
Speaker 1: a dog? All of them? Well, the University of Florida

153
00:09:16,480 --> 00:09:19,559
Speaker 1: was curious, and they used their grant money to good use.

154
00:09:19,840 --> 00:09:22,720
Speaker 1: Uh they found out, using science, the exact age at

155
00:09:22,760 --> 00:09:26,440
Speaker 1: which dogs are at their absolute pinnacle of cuteness. Uh.

156
00:09:26,600 --> 00:09:29,320
Speaker 1: They had people right, how cute various breeds of dogs

157
00:09:29,320 --> 00:09:32,600
Speaker 1: were at various ages. Uh. So I want to I

158
00:09:32,640 --> 00:09:35,400
Speaker 1: want to toss out some numbers for me, give me some,

159
00:09:35,600 --> 00:09:39,680
Speaker 1: give me some numbers. I'm gonna go. This is hard.

160
00:09:39,720 --> 00:09:43,920
Speaker 1: I kind of want to give months. I know this

161
00:09:44,080 --> 00:09:46,719
Speaker 1: is hard. This feels mean to the dog. I mean

162
00:09:46,760 --> 00:09:49,959
Speaker 1: it's but this is science, Fridges, this is science. Yeah,

163
00:09:50,160 --> 00:09:53,160
Speaker 1: I would say like one and a half to two

164
00:09:54,800 --> 00:10:01,560
Speaker 1: unit unit one and a half to two what years old? Yours? No? No,

165
00:10:01,679 --> 00:10:04,640
Speaker 1: I'm thinking months and dogs are they're old and useless.

166
00:10:04,679 --> 00:10:08,240
Speaker 1: But yeah, they've aged out. We're not putting past their prime.

167
00:10:09,160 --> 00:10:18,679
Speaker 1: Ten months, eight months, uh man, that's definitely not think younger.

168
00:10:18,720 --> 00:10:23,360
Speaker 1: Younger like like four months, No, think younger. Is it

169
00:10:23,440 --> 00:10:25,360
Speaker 1: like two days when they can't open their eyes and

170
00:10:25,400 --> 00:10:28,600
Speaker 1: they're just like pink that's their peak ugliness. They're just

171
00:10:28,640 --> 00:10:32,960
Speaker 1: like pink worm face. So the the exact point at

172
00:10:32,960 --> 00:10:37,920
Speaker 1: which the dog has been perfected is eight weeks old. Weeks. Yes,

173
00:10:39,160 --> 00:10:41,920
Speaker 1: they're at their absolute cutest. That makes sense because that's

174
00:10:41,960 --> 00:10:44,679
Speaker 1: also isn't that the earliest you can adopt a dog? Yeah,

175
00:10:45,000 --> 00:10:47,200
Speaker 1: so yeah, they're selling them at their height. Well, that's

176
00:10:47,240 --> 00:10:50,400
Speaker 1: actually and that's a reason that's around the time you

177
00:10:50,440 --> 00:10:54,080
Speaker 1: can adopt a dog, because dog moms start to kick

178
00:10:54,080 --> 00:10:57,520
Speaker 1: out the puppies at eight weeks old. Man, they're like Hollywood.

179
00:10:57,559 --> 00:11:03,040
Speaker 1: Once they're once, they're not enough. Yeah, so when you

180
00:11:03,080 --> 00:11:05,040
Speaker 1: get a dog, it's like a car. It's only going

181
00:11:05,120 --> 00:11:09,320
Speaker 1: to depreciate value exactly. That's what I tell my dog

182
00:11:09,360 --> 00:11:12,440
Speaker 1: every day. It's like, every day you're depreciating. I drove

183
00:11:12,440 --> 00:11:15,800
Speaker 1: you off the lot and now your resale value is

184
00:11:16,080 --> 00:11:19,400
Speaker 1: really bad. Oh you wag your tail, but that's not

185
00:11:19,440 --> 00:11:21,760
Speaker 1: going to increase your value. That's okay, that's only gonna

186
00:11:21,760 --> 00:11:24,719
Speaker 1: get work. That's gonna break you keep doing that. That's

187
00:11:24,760 --> 00:11:28,040
Speaker 1: so uh. Maybe this means that they've co evolved with

188
00:11:28,160 --> 00:11:31,800
Speaker 1: humans to be absolutely the most adorable at their most

189
00:11:31,960 --> 00:11:35,240
Speaker 1: vulnerable time when they get kicked out of the den um,

190
00:11:35,320 --> 00:11:38,960
Speaker 1: which is one theory um. But what's also interesting to

191
00:11:39,000 --> 00:11:41,560
Speaker 1: me is that eight weeks is about the time when

192
00:11:41,760 --> 00:11:45,440
Speaker 1: wolf puppies leave the den and they go to what's

193
00:11:45,440 --> 00:11:49,080
Speaker 1: known as the rendezvous site where they hang out with

194
00:11:49,120 --> 00:11:52,120
Speaker 1: other puppies and they're communally taken care of by other

195
00:11:52,160 --> 00:11:56,560
Speaker 1: adult wolves. So I almost think that maybe it's that

196
00:11:56,640 --> 00:11:59,640
Speaker 1: this is a natural behavior to like, like, now the

197
00:11:59,720 --> 00:12:02,200
Speaker 1: dog are the pups are old enough to go out,

198
00:12:02,280 --> 00:12:05,040
Speaker 1: but instead of a rendezvous site because they're domesticated dogs.

199
00:12:05,080 --> 00:12:10,720
Speaker 1: They just get adopted by humans where their rendezvous where

200
00:12:10,760 --> 00:12:16,560
Speaker 1: they're like rum Springer watch rum Springer like chaperones. I

201
00:12:16,559 --> 00:12:20,520
Speaker 1: guess they're awkward dog prom wouldn't dog probably so cute?

202
00:12:20,720 --> 00:12:24,280
Speaker 1: I am throwing a dog from Was there a rumork

203
00:12:24,400 --> 00:12:27,160
Speaker 1: to grade cuteness or was it just purely like that one.

204
00:12:27,880 --> 00:12:30,640
Speaker 1: I think there was probably like a like a one

205
00:12:30,679 --> 00:12:34,000
Speaker 1: to five, like one for the but ugly stupid looking dogs,

206
00:12:34,000 --> 00:12:39,120
Speaker 1: you know, five for like just prime, beautiful, perfect puppy.

207
00:12:39,360 --> 00:12:41,360
Speaker 1: I want to know if, like they if scientists have

208
00:12:41,640 --> 00:12:43,800
Speaker 1: dialed in cuteness to like this is how big its

209
00:12:43,840 --> 00:12:47,800
Speaker 1: eyes are compared to it? Yeah, no, I mean they have.

210
00:12:47,920 --> 00:12:50,040
Speaker 1: I mean part of the reason that we see things

211
00:12:50,040 --> 00:12:51,679
Speaker 1: as cute, as we'll talk about in a little bit

212
00:12:51,760 --> 00:12:55,640
Speaker 1: is the baby schema, which is the proportions of baby

213
00:12:55,760 --> 00:12:59,160
Speaker 1: faces like big forehead, big eyes, chubby cheeks. Yeah. I

214
00:12:59,240 --> 00:13:02,160
Speaker 1: figured they must of, and that like Disney Pixar got

215
00:13:02,200 --> 00:13:06,280
Speaker 1: ahold of that size because I remember specifically when watching

216
00:13:06,280 --> 00:13:09,560
Speaker 1: Finding Dory and they showed little Dory and she just

217
00:13:09,600 --> 00:13:13,040
Speaker 1: had these huge eyes like this tiny body, thinking like

218
00:13:13,160 --> 00:13:16,920
Speaker 1: that's not fair. They figured something out that's gonna and

219
00:13:16,960 --> 00:13:20,400
Speaker 1: I must felt like there's such increased activity and like

220
00:13:20,480 --> 00:13:24,040
Speaker 1: the part of the brain that processes cute things that

221
00:13:24,080 --> 00:13:27,080
Speaker 1: like you like start like an aneurysm just formed. Yeah,

222
00:13:27,200 --> 00:13:29,720
Speaker 1: that's I like. Bro. I was like, oh, Disney, this

223
00:13:29,760 --> 00:13:33,560
Speaker 1: isn't fair. You really just like got to my heart

224
00:13:33,640 --> 00:13:36,040
Speaker 1: right away. And it hasn't even spoken yet and it's

225
00:13:36,040 --> 00:13:39,320
Speaker 1: a little high pitched for us. Speaking of Disney, I

226
00:13:39,400 --> 00:13:42,439
Speaker 1: don't know why they haven't done a movie about sea lions.

227
00:13:43,040 --> 00:13:47,160
Speaker 1: Oh man, right, those are cute. They are cute. They're cute,

228
00:13:47,160 --> 00:13:51,600
Speaker 1: and they're so smart. They they're adorable little sea puppies. Um.

229
00:13:51,720 --> 00:13:54,640
Speaker 1: And they there's a kind of internet rumor that they

230
00:13:54,720 --> 00:13:57,520
Speaker 1: roll around in the sand for sun protection, and there's

231
00:13:57,559 --> 00:14:01,960
Speaker 1: these viral images of these little uh sea lion babies

232
00:14:02,559 --> 00:14:05,080
Speaker 1: uh and it usually comes with the caption of like, oh,

233
00:14:05,120 --> 00:14:08,079
Speaker 1: this is natural sunscreen. And I was like, that's interesting.

234
00:14:08,120 --> 00:14:10,400
Speaker 1: But I never saw any sources. So I was like,

235
00:14:10,480 --> 00:14:13,920
Speaker 1: I'm gonna I'm gonna bust this right wide open. Well,

236
00:14:15,000 --> 00:14:18,600
Speaker 1: I found that these rumors come from an observational study

237
00:14:18,679 --> 00:14:23,000
Speaker 1: where they actually it's true. This one is not a myth.

238
00:14:23,320 --> 00:14:27,040
Speaker 1: Uh So this is great news because they do like

239
00:14:27,080 --> 00:14:30,240
Speaker 1: to roll around in sand, and not only that, they

240
00:14:30,280 --> 00:14:33,600
Speaker 1: will actually use their little flippers and like tossing on

241
00:14:33,680 --> 00:14:37,760
Speaker 1: their back. So it's the reality is even cuter than

242
00:14:37,920 --> 00:14:41,320
Speaker 1: the Internet says it is. Yeah, just flipping sands on

243
00:14:41,360 --> 00:14:44,400
Speaker 1: their back, and they do it in hot weather. So

244
00:14:45,360 --> 00:14:47,360
Speaker 1: it does seem to be some form of you either

245
00:14:47,480 --> 00:14:50,320
Speaker 1: relief from the sun or sun protection. Man, pigs need

246
00:14:50,360 --> 00:14:52,760
Speaker 1: to figure that out to be cuter. Like they do

247
00:14:52,920 --> 00:14:55,200
Speaker 1: roll around in the mud the mud. Isn't that for

248
00:14:55,240 --> 00:14:58,720
Speaker 1: sun protection too, It's it could be sun protest protection.

249
00:14:58,800 --> 00:15:02,200
Speaker 1: It can also be too, um uh kind of get

250
00:15:02,280 --> 00:15:04,280
Speaker 1: mites off of their skin, and like rolling around in

251
00:15:04,360 --> 00:15:07,520
Speaker 1: dirt is a good way to sort of get get yourself.

252
00:15:07,680 --> 00:15:10,000
Speaker 1: And like dirt can be a desiccant too, so it

253
00:15:10,040 --> 00:15:13,440
Speaker 1: can dry out, writes another Parasites. I thought it was

254
00:15:13,480 --> 00:15:17,840
Speaker 1: like pick sunscreen. Uh. Well, it's interesting is hippo's uh

255
00:15:18,080 --> 00:15:20,640
Speaker 1: produce their own sunscreen from their sweat glands. It's like

256
00:15:20,720 --> 00:15:25,560
Speaker 1: this kind of pink substance. Uh yeah, I want that. Well,

257
00:15:25,600 --> 00:15:27,840
Speaker 1: I mean if you rub yourself against a hippo, I mean,

258
00:15:27,880 --> 00:15:29,680
Speaker 1: first of all, you'll die. The hippo will kill you.

259
00:15:29,800 --> 00:15:32,320
Speaker 1: But at least you won't get a sunburn. Yea, do

260
00:15:33,000 --> 00:15:35,560
Speaker 1: sea lions get sunburns? Because I want to say that,

261
00:15:36,200 --> 00:15:39,400
Speaker 1: I mean they do have for so that offers them

262
00:15:39,440 --> 00:15:42,880
Speaker 1: some protection. Um. I would imagine that the sun can

263
00:15:43,920 --> 00:15:46,400
Speaker 1: when any animal could get a sunburn if their skin

264
00:15:46,560 --> 00:15:49,840
Speaker 1: is in contact with the UV rays. Poor little guy, Like,

265
00:15:49,960 --> 00:15:52,160
Speaker 1: that's why they're little. That's why they cover themselves and

266
00:15:52,240 --> 00:15:55,080
Speaker 1: sands and they're like little, they're little churros. They looked

267
00:15:55,160 --> 00:16:00,640
Speaker 1: like a little like a cinnamon. They're so cute. They're

268
00:16:00,720 --> 00:16:04,760
Speaker 1: so cute. Um, I bet I know what you're wondering

269
00:16:05,800 --> 00:16:10,320
Speaker 1: is how are baby porcupine is born. I would assume

270
00:16:10,920 --> 00:16:14,680
Speaker 1: without their spikes, I would assume they're like little naked

271
00:16:15,000 --> 00:16:20,600
Speaker 1: little bige worms. Um. Well, that's an interesting thing because

272
00:16:20,600 --> 00:16:23,160
Speaker 1: that's sort of how hedgehogs are born. They kind of

273
00:16:23,160 --> 00:16:26,680
Speaker 1: look like the little pink mice there. They look like

274
00:16:26,760 --> 00:16:30,840
Speaker 1: little gumballs, and they they kind of have the starts

275
00:16:30,840 --> 00:16:33,560
Speaker 1: of spikes, but they're not really there yet. They're like soft.

276
00:16:33,640 --> 00:16:38,040
Speaker 1: Yeah exactly. Um, but I want you to imagine giving

277
00:16:38,080 --> 00:16:42,120
Speaker 1: birth to a twelve pound baby covered in quills, because

278
00:16:42,360 --> 00:16:49,920
Speaker 1: this is the problem posed to porcupines relatively speaking so much.

279
00:16:50,600 --> 00:16:55,080
Speaker 1: Uh so. In many porcupine species, including the North American porcupine,

280
00:16:55,240 --> 00:17:00,440
Speaker 1: the porcupines are already born with quills, but they are

281
00:17:00,600 --> 00:17:05,840
Speaker 1: soft and flexible, so they don't actually pose any risk

282
00:17:06,000 --> 00:17:09,920
Speaker 1: to the mother. They harden within an hour of being born.

283
00:17:10,520 --> 00:17:15,880
Speaker 1: Whoa uh so they will quickly harden into sharp points

284
00:17:16,480 --> 00:17:19,800
Speaker 1: uh and which so it's a good thing that drys

285
00:17:20,720 --> 00:17:26,000
Speaker 1: exactly um and uh. These are big babies relative to

286
00:17:26,040 --> 00:17:29,679
Speaker 1: the porcupine size. So um they're about a foot in

287
00:17:29,760 --> 00:17:32,240
Speaker 1: length and a pound and weight, which is the equivalent

288
00:17:32,359 --> 00:17:35,840
Speaker 1: of a pound human mother giving birth to a twelve

289
00:17:35,840 --> 00:17:42,200
Speaker 1: pound baby. Jesus. Uh that is horrifying. So they're soft

290
00:17:42,240 --> 00:17:45,400
Speaker 1: and flexible. So is it like hair essentially like hair

291
00:17:45,560 --> 00:17:49,040
Speaker 1: like white hair like sort of al dente pasta is

292
00:17:49,119 --> 00:17:56,800
Speaker 1: suppose okay, probably super al dente extremely But here's a

293
00:17:56,840 --> 00:18:02,199
Speaker 1: cute thing. They're called porkupets porky pets, the pupine I

294
00:18:02,200 --> 00:18:07,520
Speaker 1: think I played that online when um, And they're able

295
00:18:07,560 --> 00:18:11,480
Speaker 1: to cuddle with their mommy's because porcupine underbellies are soft

296
00:18:11,520 --> 00:18:14,240
Speaker 1: and furry, and they can also flatten the quills that

297
00:18:14,280 --> 00:18:18,240
Speaker 1: are on their backs so that they prevent um any

298
00:18:18,320 --> 00:18:22,440
Speaker 1: kind of unintentional injury. Yeah, because I've seen porcupines walk

299
00:18:22,480 --> 00:18:25,000
Speaker 1: around and they're not spiky there. I mean, they don't

300
00:18:25,280 --> 00:18:28,719
Speaker 1: like they're not they don't. They are very furry looking.

301
00:18:29,200 --> 00:18:32,239
Speaker 1: A lot of their quills are indeed spikes, So if

302
00:18:32,240 --> 00:18:35,199
Speaker 1: you like get poked, yeah, don't touch it because those

303
00:18:35,240 --> 00:18:40,639
Speaker 1: are actually sharp. But they are modified hair essentially. Um.

304
00:18:40,720 --> 00:18:44,280
Speaker 1: So uh. They're also in the case of friendly fire.

305
00:18:44,400 --> 00:18:46,840
Speaker 1: They do have some defense mechanisms. So one is that

306
00:18:46,880 --> 00:18:49,840
Speaker 1: they instinctively know how to pull the quill out of

307
00:18:49,880 --> 00:18:53,440
Speaker 1: their skin if like they or like if they get

308
00:18:53,480 --> 00:18:56,760
Speaker 1: stabbed by someone else, just like they're dancing together and

309
00:18:56,840 --> 00:19:00,479
Speaker 1: they get poked and then they yeah, they they know

310
00:19:00,520 --> 00:19:03,600
Speaker 1: how to like they deflate the spine by like poking

311
00:19:03,640 --> 00:19:05,000
Speaker 1: a hole in it, and then they pull out the

312
00:19:05,040 --> 00:19:08,760
Speaker 1: rest of it. Um. Because like the quills are hollow

313
00:19:09,240 --> 00:19:11,919
Speaker 1: and so they can like kind of remove some of

314
00:19:11,960 --> 00:19:16,080
Speaker 1: the I guess it helps them pull it out. That's

315
00:19:16,080 --> 00:19:18,639
Speaker 1: so cool. Why can't humans do like control any of

316
00:19:18,640 --> 00:19:24,360
Speaker 1: our I want to just like drop a fingernail when

317
00:19:24,400 --> 00:19:28,719
Speaker 1: I need to. Um. They're also their skin contains natural

318
00:19:28,720 --> 00:19:33,480
Speaker 1: antibiotics that prevent infection. Oh so smart. Yeah, exactly they

319
00:19:33,520 --> 00:19:36,399
Speaker 1: did that. That's good for them. That's good for them. Um,

320
00:19:36,520 --> 00:19:40,000
Speaker 1: and there's uh so that's um. That's true of a

321
00:19:40,000 --> 00:19:44,400
Speaker 1: lot of porcupine species, and like North American porcupines. But

322
00:19:44,640 --> 00:19:48,200
Speaker 1: I want to talk about the prehensile tailed porcupines, who

323
00:19:48,240 --> 00:19:53,000
Speaker 1: are extremely adorable and very unusual porcupines. So they live

324
00:19:53,040 --> 00:19:55,720
Speaker 1: in Central and South America and they have a long,

325
00:19:56,119 --> 00:20:01,919
Speaker 1: unspined prehensile tail. Uh so uh there. I'm trying to

326
00:20:01,960 --> 00:20:05,640
Speaker 1: picture this and I think it means so you'll get

327
00:20:05,640 --> 00:20:08,080
Speaker 1: to see one in just a minute. Um. So, the

328
00:20:08,200 --> 00:20:11,960
Speaker 1: young aren't born with quills. Actually, they're born with soft

329
00:20:12,040 --> 00:20:15,119
Speaker 1: red hair that will eventually harden into sharp black and

330
00:20:15,160 --> 00:20:18,520
Speaker 1: white quills with age. Cool, so they get like they

331
00:20:18,520 --> 00:20:22,320
Speaker 1: get their stripes right, exactly. They're all born redheads, right.

332
00:20:22,359 --> 00:20:24,800
Speaker 1: They get older and go into an em and stay

333
00:20:24,840 --> 00:20:29,200
Speaker 1: there even as adults. They're super cute. They have these big,

334
00:20:29,280 --> 00:20:35,400
Speaker 1: bulbous noses. Um. And their calls sound like baby babbling

335
00:20:35,920 --> 00:20:38,560
Speaker 1: in a non creepy way. Um. So I have an

336
00:20:38,560 --> 00:20:54,879
Speaker 1: audio clip. Oh my god, and here he is with

337
00:20:54,960 --> 00:20:59,639
Speaker 1: his little basket that he's lifted up. As I was

338
00:20:59,640 --> 00:21:03,360
Speaker 1: gonna say, it sounds like a try hard noise. Oh

339
00:21:03,440 --> 00:21:16,280
Speaker 1: my god, Oh guy, So that I was assuming those

340
00:21:16,280 --> 00:21:18,800
Speaker 1: were try hard noises. Yes, that was. That was a

341
00:21:18,800 --> 00:21:22,080
Speaker 1: little preinstiled tailed porcupine trying to lift a little basket.

342
00:21:22,760 --> 00:21:28,840
Speaker 1: Um lifting it with its tail. No, it's its little

343
00:21:28,880 --> 00:21:31,359
Speaker 1: hand with its little arms, but its tail is. It

344
00:21:31,480 --> 00:21:36,840
Speaker 1: is preins lift and used to help climb trees. It is.

345
00:21:37,040 --> 00:21:39,879
Speaker 1: It's such. It looks like a fantasy creature, like a

346
00:21:40,000 --> 00:21:43,840
Speaker 1: Star Wars fantasy creature. It looks like and it might

347
00:21:43,880 --> 00:21:46,360
Speaker 1: be this is going to be a deep cut reference.

348
00:21:46,880 --> 00:21:52,040
Speaker 1: Um Horden, here's a who uh Seth Rogan character in

349
00:21:52,080 --> 00:21:56,280
Speaker 1: that movie. Yeah, I didn't well, I'll take your word

350
00:21:56,320 --> 00:21:59,560
Speaker 1: for it. I didn't see uh yeah, no one did.

351
00:22:00,720 --> 00:22:03,320
Speaker 1: I watched it on cable about fifty times in the

352
00:22:03,400 --> 00:22:07,840
Speaker 1: eighth grade. You can see a little nose. It's got

353
00:22:07,840 --> 00:22:10,320
Speaker 1: a very dumb little nose. It's it's snow is very

354
00:22:10,359 --> 00:22:13,879
Speaker 1: big in bulbous I wanna it looks like if you

355
00:22:13,960 --> 00:22:17,560
Speaker 1: poked it it would honk. Yeah, it looks very squishy.

356
00:22:18,080 --> 00:22:21,840
Speaker 1: Um me and this guy we would get along. Well,

357
00:22:21,840 --> 00:22:23,480
Speaker 1: I was gonna say, I mean, your nose does not

358
00:22:23,680 --> 00:22:28,359
Speaker 1: look like that, but but it feels like quality. It

359
00:22:28,480 --> 00:22:32,800
Speaker 1: probably has the same textual quality. I'm gonna go live

360
00:22:32,880 --> 00:22:37,399
Speaker 1: with my porcupine family found your family guys are cut?

361
00:22:41,040 --> 00:22:43,760
Speaker 1: So why do photos of baby animals make us happy?

362
00:22:44,119 --> 00:22:46,800
Speaker 1: As we've talked about on the show before, we're hardwired

363
00:22:46,840 --> 00:22:49,800
Speaker 1: to find the baby schema to be cute. Big forehead,

364
00:22:49,880 --> 00:22:54,119
Speaker 1: big eyes, chubby cheeks, toddling, fat bodies. The qualities that

365
00:22:54,200 --> 00:22:57,960
Speaker 1: babies and young children have trigger our cuteness detection and

366
00:22:58,000 --> 00:23:00,480
Speaker 1: make us want to take care of them. Studies have

367
00:23:00,560 --> 00:23:03,639
Speaker 1: found that seeing something cute causes dopamine to get released

368
00:23:03,640 --> 00:23:07,159
Speaker 1: in the brain. Dopamine is a neurotransmitter that functions as

369
00:23:07,240 --> 00:23:09,479
Speaker 1: part of the reward system in the brain. It's one

370
00:23:09,520 --> 00:23:14,240
Speaker 1: of the main motivational neurotransmitters. In fact, researchers at Heroshima

371
00:23:14,359 --> 00:23:17,359
Speaker 1: University found that looking at cute things help you concentrate

372
00:23:17,400 --> 00:23:20,040
Speaker 1: better on tasks, and we can be suckered in by

373
00:23:20,080 --> 00:23:23,520
Speaker 1: cuteness too. According to an article by The Daily Herald,

374
00:23:23,560 --> 00:23:26,439
Speaker 1: researchers have found that people tend to see faces in

375
00:23:26,480 --> 00:23:28,800
Speaker 1: the front of the car with headlights in the grill,

376
00:23:29,320 --> 00:23:31,600
Speaker 1: and you can increase the markability of a car by

377
00:23:31,600 --> 00:23:34,920
Speaker 1: making the features rounder and bigger, like the seven new

378
00:23:35,000 --> 00:23:38,760
Speaker 1: Volkswagen Beetle, which was designed to look more like a

379
00:23:38,880 --> 00:23:42,240
Speaker 1: baby's face. Don't worry, We'll be right back with more

380
00:23:42,240 --> 00:23:44,760
Speaker 1: of that cuteness drug and load you up on dopamine.

381
00:23:44,800 --> 00:23:48,000
Speaker 1: As we explore some heartwarming stories of animals and humans

382
00:23:48,040 --> 00:23:58,119
Speaker 1: getting along. Humanity has been pretty bad to our fellow

383
00:23:58,160 --> 00:24:00,520
Speaker 1: animals and to our planet, but once in a while

384
00:24:00,560 --> 00:24:03,720
Speaker 1: we get together and actually do something pretty cool. One

385
00:24:03,760 --> 00:24:07,440
Speaker 1: way is by building bridges, underpasses, and tunnels for animals

386
00:24:07,480 --> 00:24:11,080
Speaker 1: to cross dangerous roads. Yeah, I mean, the dangerous roads

387
00:24:11,080 --> 00:24:13,760
Speaker 1: are are bad in the first place, but creating safe

388
00:24:13,760 --> 00:24:16,280
Speaker 1: paths for animals to cross can help save animals and

389
00:24:16,359 --> 00:24:19,080
Speaker 1: human lives on the roadway. There are many kinds of

390
00:24:19,160 --> 00:24:23,120
Speaker 1: wildlife crossings, some of which are grassy forests grown right

391
00:24:23,160 --> 00:24:25,560
Speaker 1: over a bridge to make it more inviting to animals.

392
00:24:25,920 --> 00:24:29,880
Speaker 1: There are specialized crossings for different animals, like elephant underpasses

393
00:24:29,920 --> 00:24:34,600
Speaker 1: in Kenya, monkey overpasses in Brazil, and cariboo crossings in Canada.

394
00:24:34,960 --> 00:24:37,800
Speaker 1: Here are some of the cutest, most unique bridges I've found.

395
00:24:38,200 --> 00:24:44,320
Speaker 1: Its bridget one of them. Yes, bridget the bridge. That's

396
00:24:44,320 --> 00:24:46,240
Speaker 1: what they comment, That is what they call you. That's

397
00:24:46,280 --> 00:24:48,479
Speaker 1: what I call you. When I was a kid, I

398
00:24:48,520 --> 00:24:52,440
Speaker 1: was afraid of bridges. Really, I would hide every time

399
00:24:52,440 --> 00:24:54,000
Speaker 1: we go over them. And I grew up in Florida,

400
00:24:54,080 --> 00:24:56,080
Speaker 1: where there are a ton of them. Yeah, because you're

401
00:24:56,400 --> 00:24:59,439
Speaker 1: under mostly underwater, right, mostly underwater. I also thought all

402
00:24:59,480 --> 00:25:02,480
Speaker 1: bridges were dropper just I see. So you thought it

403
00:25:02,480 --> 00:25:04,840
Speaker 1: could just move under your feet at any given Yeah. No,

404
00:25:05,320 --> 00:25:07,480
Speaker 1: there's a moment and fast and the furious to where

405
00:25:07,520 --> 00:25:10,360
Speaker 1: they jump over a bridge, and that's my biggest fear.

406
00:25:11,280 --> 00:25:13,760
Speaker 1: But well, I don't think these bridges will scare you,

407
00:25:13,920 --> 00:25:16,960
Speaker 1: because here's one. There's a turtle tunnel in Japan that

408
00:25:17,000 --> 00:25:20,560
Speaker 1: goes under a rail road to save turtles from the railroad.

409
00:25:20,600 --> 00:25:24,080
Speaker 1: Oh my god, that's so smart. There's a penguin tunnel

410
00:25:24,080 --> 00:25:28,320
Speaker 1: in New Zealand to prevent penguins from crossing dangerous roads.

411
00:25:28,480 --> 00:25:32,159
Speaker 1: Oh done, little penguins. Dumb little penguins. One one across

412
00:25:32,200 --> 00:25:34,600
Speaker 1: the road. You don't want to get in the way

413
00:25:34,640 --> 00:25:37,120
Speaker 1: of them, No, you don't. I mean the pain. I'm

414
00:25:37,119 --> 00:25:39,840
Speaker 1: sure it's like the penguins would be unscathed, but they would,

415
00:25:40,000 --> 00:25:43,600
Speaker 1: they would cause something the humans would not. Uh. There's

416
00:25:43,640 --> 00:25:46,600
Speaker 1: a rope bridge over a freeway in Victoria, New South

417
00:25:46,640 --> 00:25:52,359
Speaker 1: Wales for squirrel gliders. Oh my god, because squirrel gliders

418
00:25:52,880 --> 00:25:57,240
Speaker 1: they're also related like to the flying squirreld. They can't

419
00:25:57,280 --> 00:25:59,720
Speaker 1: actually fly, they can only glide. So if they start

420
00:25:59,760 --> 00:26:01,399
Speaker 1: off that once side of the road and try to

421
00:26:01,440 --> 00:26:05,040
Speaker 1: glide across with nothing to help them across, they could

422
00:26:05,040 --> 00:26:08,439
Speaker 1: just fall right on a truck. But that's why they

423
00:26:08,440 --> 00:26:12,960
Speaker 1: got the bridge there. So there are tiny tunnels under

424
00:26:13,040 --> 00:26:16,840
Speaker 1: roadways in New England to save spotted salamanders from getting

425
00:26:16,880 --> 00:26:21,560
Speaker 1: crushed on their journey to mate. Oh I want like,

426
00:26:22,359 --> 00:26:25,600
Speaker 1: I mean, I guess obviously animals can communicate, but like

427
00:26:26,440 --> 00:26:28,000
Speaker 1: had they find out where these are and they just

428
00:26:28,000 --> 00:26:30,280
Speaker 1: had to like run back and tell everyone. Well, they

429
00:26:30,280 --> 00:26:32,760
Speaker 1: put the tunnels I think where they find the animals

430
00:26:32,840 --> 00:26:36,359
Speaker 1: are highly trafficking the and like these highly trafficked areas

431
00:26:36,400 --> 00:26:40,560
Speaker 1: for the animals. Although, so there's a Davis toad tunnel. Uh,

432
00:26:40,720 --> 00:26:44,360
Speaker 1: it's it's in Davis, California. It's to save toads from

433
00:26:44,359 --> 00:26:48,240
Speaker 1: getting pancaked while traveling to their ancestral wetlands. They even

434
00:26:48,280 --> 00:26:53,480
Speaker 1: built some like little houses just just for funziesh my god.

435
00:26:53,520 --> 00:26:56,880
Speaker 1: It's like a fracket. But the problem was the toades

436
00:26:56,920 --> 00:26:59,000
Speaker 1: were too dumb to use it, so they had to

437
00:26:59,119 --> 00:27:01,840
Speaker 1: use a light in the tunnel to kind of like

438
00:27:02,520 --> 00:27:05,119
Speaker 1: give them some incentive to go into the tunnel. But

439
00:27:05,160 --> 00:27:07,800
Speaker 1: then some of the lights were too hot so they baked.

440
00:27:08,359 --> 00:27:11,199
Speaker 1: Oh no, but they fixed it. I'm pretty sure we

441
00:27:11,280 --> 00:27:14,600
Speaker 1: went too far, too far with our kindness, literally killed

442
00:27:14,640 --> 00:27:18,840
Speaker 1: them with kindness. Um. So there's also a beat highway

443
00:27:18,840 --> 00:27:23,600
Speaker 1: in all Slow Norway. Uh, but it's a root filled

444
00:27:23,640 --> 00:27:26,760
Speaker 1: with flowers on rooftops for bees to survive as they

445
00:27:26,800 --> 00:27:30,720
Speaker 1: travel in an urban environment. That's nice. It sounds so dangerous.

446
00:27:31,520 --> 00:27:34,520
Speaker 1: These are great. These are great. We need the beast.

447
00:27:35,200 --> 00:27:37,560
Speaker 1: As someone who's allergic to be it sounds like a

448
00:27:37,600 --> 00:27:40,840
Speaker 1: death trap. Yeah, I mean, just don't get down the highway,

449
00:27:41,000 --> 00:27:46,920
Speaker 1: then avoid be highway. There's a salmon cannon in Columbia River,

450
00:27:47,080 --> 00:27:53,280
Speaker 1: eastern Washington. It's to preserve the salmon population who get

451
00:27:53,280 --> 00:27:56,840
Speaker 1: blocked by dams. So it's literally like these tubes that

452
00:27:57,440 --> 00:28:01,760
Speaker 1: use some kind of text section eat technology. Um, they

453
00:28:01,880 --> 00:28:05,119
Speaker 1: just reciphon technology to like like you know, they go

454
00:28:05,200 --> 00:28:07,679
Speaker 1: into the tube, then they launch them out the other side.

455
00:28:07,840 --> 00:28:10,080
Speaker 1: I feel like I've seen this before and I don't

456
00:28:10,080 --> 00:28:13,880
Speaker 1: know if it's in a cartoon or Yeah, there's real

457
00:28:14,000 --> 00:28:16,160
Speaker 1: videos of this you could Uh, I'll probably put one

458
00:28:16,200 --> 00:28:18,359
Speaker 1: in the show notes. You can also google it if

459
00:28:18,400 --> 00:28:21,479
Speaker 1: you look for a salmon cannon. It's very good. Just

460
00:28:21,560 --> 00:28:26,560
Speaker 1: imagine it with sound effects of giling. That's a human

461
00:28:26,640 --> 00:28:28,640
Speaker 1: one of those that sounds fun. That would be fun.

462
00:28:28,680 --> 00:28:32,160
Speaker 1: I mean water parks kind of like that. Uh so

463
00:28:32,600 --> 00:28:36,240
Speaker 1: uh those are Oh and then there's a crab bridge

464
00:28:36,320 --> 00:28:40,560
Speaker 1: on Christmas Island to protect Christmas Island red crabs during

465
00:28:40,560 --> 00:28:44,920
Speaker 1: their annual mass migration um where there are just huge

466
00:28:45,120 --> 00:28:49,200
Speaker 1: amounts of Christmas Island red crabs. If you've ever seen

467
00:28:49,240 --> 00:28:52,320
Speaker 1: those online, they just like they it's like just it

468
00:28:52,400 --> 00:28:55,760
Speaker 1: looks like a red tide on land, but it's all crabs.

469
00:28:55,760 --> 00:28:59,480
Speaker 1: It's all crab. Crabs are mean, don't They're a bit

470
00:28:59,600 --> 00:29:03,880
Speaker 1: crab Crabby had a lot of runnings with crabs Back

471
00:29:03,920 --> 00:29:07,719
Speaker 1: in Florida. I used to have a hermit crab as

472
00:29:07,760 --> 00:29:10,120
Speaker 1: a pet. It's favorite thing to do would be to

473
00:29:10,200 --> 00:29:13,800
Speaker 1: crawl up into my armpit. Uh, pinch me in the

474
00:29:13,880 --> 00:29:18,160
Speaker 1: armpit and not let go for it. Like it was

475
00:29:18,200 --> 00:29:21,600
Speaker 1: impossible to get it off without ripping the skin because

476
00:29:21,640 --> 00:29:23,920
Speaker 1: it was just like here I am now in your armpit.

477
00:29:24,080 --> 00:29:26,640
Speaker 1: This is my place, and it would just latch on.

478
00:29:26,720 --> 00:29:28,920
Speaker 1: It's like, well this is this is it? You know,

479
00:29:29,080 --> 00:29:33,080
Speaker 1: right or die? I'm here now, deal with it. I

480
00:29:33,080 --> 00:29:35,280
Speaker 1: don't know why I liked it so much, Like maybe

481
00:29:35,280 --> 00:29:38,080
Speaker 1: it was sweaty or something, and it's like, I don't know,

482
00:29:38,160 --> 00:29:41,480
Speaker 1: it was humid and that was because, yeah, I mean

483
00:29:41,520 --> 00:29:45,240
Speaker 1: that's I had a crab that lived by my locker

484
00:29:45,320 --> 00:29:48,240
Speaker 1: in high school and I had a little hole. But

485
00:29:48,360 --> 00:29:50,640
Speaker 1: anytime I went by my locker would come out and like,

486
00:29:50,720 --> 00:29:54,080
Speaker 1: come after me. You'll just have like crabs in your

487
00:29:54,680 --> 00:29:57,520
Speaker 1: in Florida, I mean yeah, because I like it's you know,

488
00:29:57,600 --> 00:30:02,880
Speaker 1: the campus is outdoors, so there's also they live in

489
00:30:02,920 --> 00:30:06,320
Speaker 1: little holes. So it was pretty common to fall into

490
00:30:06,360 --> 00:30:10,200
Speaker 1: a crab hole. I've done it. I'm everyone who grew

491
00:30:10,240 --> 00:30:14,280
Speaker 1: up there. Sea hole I've fallen into. They're just like

492
00:30:14,360 --> 00:30:16,760
Speaker 1: inland and your locking grass and then your foot will

493
00:30:16,800 --> 00:30:18,840
Speaker 1: get caught. You fall into a sea hole and that's

494
00:30:18,840 --> 00:30:22,720
Speaker 1: how you get arn't pit crabs. Yeah, that's that's exactly

495
00:30:22,720 --> 00:30:24,320
Speaker 1: what happened. But yeah, I would have to like get

496
00:30:24,320 --> 00:30:26,480
Speaker 1: my books out really quickly because this crab would come

497
00:30:26,480 --> 00:30:29,160
Speaker 1: and just attack me if I spent too long by

498
00:30:29,160 --> 00:30:33,960
Speaker 1: my locker. Ah, that's so funny bridget getting chased by crabs. Yeah,

499
00:30:34,040 --> 00:30:37,600
Speaker 1: that was my high school bully that just would not

500
00:30:37,720 --> 00:30:39,640
Speaker 1: leave me alone and I was just trying to get

501
00:30:39,680 --> 00:30:43,640
Speaker 1: my books and go to class. So here's a real cute,

502
00:30:43,680 --> 00:30:47,360
Speaker 1: solid bro moment that we've had with animals. Uh. So,

503
00:30:47,800 --> 00:30:51,960
Speaker 1: researchers at Leaden University in the Netherlands wanted to answer

504
00:30:52,000 --> 00:30:55,080
Speaker 1: the question on everyone's minds. Uh, do you mind only

505
00:30:55,120 --> 00:30:57,280
Speaker 1: like to run in a hamster wheel because they're bored

506
00:30:57,320 --> 00:31:01,640
Speaker 1: and like cages and stuff. Yeah, no, I think about

507
00:31:01,680 --> 00:31:05,880
Speaker 1: that constantly. Yeah. So to answer this question, they left

508
00:31:05,880 --> 00:31:08,520
Speaker 1: Hampson wheels out in nature to see what little animals

509
00:31:08,520 --> 00:31:11,080
Speaker 1: would do if they would get on there and try it,

510
00:31:11,400 --> 00:31:14,360
Speaker 1: and guess what they did. They did lots of them.

511
00:31:14,520 --> 00:31:17,920
Speaker 1: It's fun for them and not just mice. So the

512
00:31:18,000 --> 00:31:23,600
Speaker 1: wheels were used hundred times over two years by mice, rats, shrews,

513
00:31:23,640 --> 00:31:27,600
Speaker 1: and even frogs. Frogs, just a little frogs. I don't

514
00:31:27,640 --> 00:31:29,440
Speaker 1: think frogs would need them. I feel like they would

515
00:31:29,440 --> 00:31:32,880
Speaker 1: just jump and then like hit the side. I mean,

516
00:31:33,680 --> 00:31:36,840
Speaker 1: frogs do have some control over the size of their leaps,

517
00:31:37,000 --> 00:31:41,640
Speaker 1: but their legs are so long wattle. Yeah, I feel

518
00:31:41,680 --> 00:31:43,280
Speaker 1: like it would be awkward. I mean, depending on the

519
00:31:43,360 --> 00:31:46,480
Speaker 1: size of the wheel, right, do have like long limbs.

520
00:31:47,680 --> 00:31:51,560
Speaker 1: It does seem pretty awkward. But a lot of these

521
00:31:51,600 --> 00:31:56,160
Speaker 1: animals really loved it because they were repeat customers. You're

522
00:31:56,160 --> 00:31:58,880
Speaker 1: gonna hang out by the wheel today. It was like

523
00:31:58,920 --> 00:32:02,760
Speaker 1: a little park of them, right exactly. That's great. I

524
00:32:02,760 --> 00:32:05,080
Speaker 1: want to put like a tiny gent like some kind

525
00:32:05,120 --> 00:32:09,560
Speaker 1: of sort of um like a muscle beach for for

526
00:32:09,560 --> 00:32:13,640
Speaker 1: for crabs, for crabs, crabs and mice. I was on

527
00:32:13,680 --> 00:32:16,400
Speaker 1: a set once and there was we were outside and

528
00:32:16,400 --> 00:32:18,960
Speaker 1: there was like a tiny little field mice just just

529
00:32:19,120 --> 00:32:23,840
Speaker 1: napping in a tree, and about thirty human adults just

530
00:32:24,080 --> 00:32:28,160
Speaker 1: stopped the work we were doing to watch this little

531
00:32:28,160 --> 00:32:33,360
Speaker 1: field micelee. Ah, that is adorable. It was very cute.

532
00:32:33,360 --> 00:32:36,320
Speaker 1: I'll never forget him. Well, we're gonna go bigger than

533
00:32:36,400 --> 00:32:40,040
Speaker 1: field mice. Alright, let's do it. So the Thailand Friends

534
00:32:40,080 --> 00:32:48,040
Speaker 1: of the Asian Elephant Hospital elements love elephants and elements

535
00:32:47,840 --> 00:32:53,280
Speaker 1: with the two things elemental. Uh. So the it's a

536
00:32:53,360 --> 00:32:56,840
Speaker 1: hospital in Thailand, uh And they are friends to elephants

537
00:32:57,080 --> 00:33:00,960
Speaker 1: and they have fitted an artificial leg for Osha, an

538
00:33:01,000 --> 00:33:04,240
Speaker 1: elephant who lost her front leg after stepping on a landline.

539
00:33:05,000 --> 00:33:08,480
Speaker 1: Doctor Javocati, I think that's how it's pronounced, and I

540
00:33:08,480 --> 00:33:12,040
Speaker 1: apologize if I mean's pronounce it. But he's an orthopedic

541
00:33:12,080 --> 00:33:16,120
Speaker 1: surgeon who created a massive pros thesis that's the first

542
00:33:16,160 --> 00:33:20,080
Speaker 1: of its kind that replaced nearly the entire functionality of

543
00:33:20,320 --> 00:33:25,640
Speaker 1: the elephants front leg stone. Uh so leg stone. So

544
00:33:26,040 --> 00:33:30,800
Speaker 1: Doctor Javocat, who has continued to develop new prose thesis

545
00:33:30,840 --> 00:33:35,000
Speaker 1: for Mosha as she grows, says that she salutes him

546
00:33:35,040 --> 00:33:37,360
Speaker 1: every time he comes to visit hers. Oh my god,

547
00:33:38,880 --> 00:33:41,920
Speaker 1: I love that they're so smart. And I was wondering,

548
00:33:42,480 --> 00:33:45,600
Speaker 1: so we clearly can feel empathy for elephants, although we

549
00:33:45,640 --> 00:33:48,560
Speaker 1: do mistreat them sometimes. But you know, then there's wonderful

550
00:33:48,640 --> 00:33:52,160
Speaker 1: humans like the Thailand friends for the Asian Elephant Hospital.

551
00:33:53,000 --> 00:33:55,520
Speaker 1: I was wondering if it's a mutual, like if elephants

552
00:33:55,560 --> 00:33:58,840
Speaker 1: can feel empathy for humans? Uh, because they show great

553
00:33:58,880 --> 00:34:02,000
Speaker 1: empathy towards each other. I think I know this fact.

554
00:34:02,640 --> 00:34:05,360
Speaker 1: I think I've heard this. Yes, so they showed great

555
00:34:05,440 --> 00:34:08,759
Speaker 1: social and emotional intelligence. They often rescue their young from

556
00:34:08,760 --> 00:34:13,000
Speaker 1: water and ditches um and anecdotally there's some evidence that

557
00:34:13,040 --> 00:34:16,480
Speaker 1: this empathy can extend to humans. So there's a story

558
00:34:16,520 --> 00:34:20,120
Speaker 1: of a young elephant in Thailand who was she was

559
00:34:20,239 --> 00:34:22,560
Speaker 1: friends with a human because she was in uh one

560
00:34:22,560 --> 00:34:26,279
Speaker 1: of the elephant sanctuaries there, um and so he was

561
00:34:26,360 --> 00:34:29,800
Speaker 1: part of the Save the Elephant Foundation and he was

562
00:34:29,880 --> 00:34:32,200
Speaker 1: just like playing around in a river with the elephant

563
00:34:32,600 --> 00:34:34,920
Speaker 1: and he was fine, he was swimming, he was fine,

564
00:34:35,200 --> 00:34:36,759
Speaker 1: and he was kind of like yelling out to the

565
00:34:36,800 --> 00:34:40,200
Speaker 1: elephant because it's his buddy. But she thought he was drowning.

566
00:34:40,840 --> 00:34:44,800
Speaker 1: So she ran over just like charged through the water,

567
00:34:45,040 --> 00:34:48,799
Speaker 1: stood over him, and uh hoisted him out of the

568
00:34:48,840 --> 00:34:53,960
Speaker 1: water with her trunk. Us. How terrifying of a moment.

569
00:34:54,120 --> 00:34:56,640
Speaker 1: Like as sweet as that is, I know, because I

570
00:34:56,640 --> 00:34:59,680
Speaker 1: could go extremely wrong. Um, but they are, I mean,

571
00:34:59,680 --> 00:35:03,960
Speaker 1: for be such huge animals, they can be surprisingly gentle

572
00:35:04,080 --> 00:35:08,360
Speaker 1: and delicate. Uh. There's another story of a bowl elephant,

573
00:35:08,400 --> 00:35:10,960
Speaker 1: which is not a cute baby elephant like in the

574
00:35:11,000 --> 00:35:15,719
Speaker 1: previous story, but a huge tasked bowl elephant UM who

575
00:35:16,040 --> 00:35:20,680
Speaker 1: crashed into a home of a couple living in West Bengal, India,

576
00:35:20,840 --> 00:35:24,080
Speaker 1: and they claimed that the elephant just smashed in a

577
00:35:24,160 --> 00:35:27,360
Speaker 1: wall in their home. Uh and it occasionally happens the

578
00:35:27,400 --> 00:35:30,160
Speaker 1: elephant will break into residences because they're looking for food

579
00:35:30,200 --> 00:35:35,880
Speaker 1: and I mean the elephants, that's what they love. And

580
00:35:36,440 --> 00:35:40,240
Speaker 1: the couple was very concerned because they had a baby

581
00:35:41,000 --> 00:35:43,720
Speaker 1: in the crib and the wall was falling in above

582
00:35:43,800 --> 00:35:47,000
Speaker 1: the baby and the elephant, you know, it was just

583
00:35:47,120 --> 00:35:49,640
Speaker 1: rampaging through the house. And then it stopped when the

584
00:35:49,760 --> 00:35:54,280
Speaker 1: baby started crying, and it went over to the baby

585
00:35:54,360 --> 00:35:58,680
Speaker 1: and started lifting rubble off of the baby. And uh

586
00:35:58,800 --> 00:36:01,239
Speaker 1: So the couple took the be to the hospital and

587
00:36:01,280 --> 00:36:04,720
Speaker 1: it had some superficial injuries, but it was The baby

588
00:36:04,840 --> 00:36:08,640
Speaker 1: was fine, but the elephant like, it's like, oh, whoops,

589
00:36:08,719 --> 00:36:13,640
Speaker 1: my bad. Hereerhaps I almost crushed a baby. Yeah, yikes.

590
00:36:14,280 --> 00:36:16,960
Speaker 1: And then that feels like if I'm stoned in public

591
00:36:17,000 --> 00:36:20,960
Speaker 1: and a child and I'm like, oh, oh no. I

592
00:36:21,040 --> 00:36:24,520
Speaker 1: definitely like sometimes I'm walking my dog and I like

593
00:36:24,640 --> 00:36:28,719
Speaker 1: trip over her because she's kind of her movements are unpredictable,

594
00:36:29,120 --> 00:36:30,840
Speaker 1: and she kind of darts. She's a little dock, so

595
00:36:30,920 --> 00:36:33,120
Speaker 1: she like darts in and out and makes like strange movements,

596
00:36:33,160 --> 00:36:36,040
Speaker 1: and so sometimes just stops like right under my feet

597
00:36:36,040 --> 00:36:38,280
Speaker 1: and I trip over and I feel like this like huge,

598
00:36:38,520 --> 00:36:41,960
Speaker 1: classy elephant. And then I'm like, I feel like someone's

599
00:36:41,960 --> 00:36:43,960
Speaker 1: gonna watch me and think I'm just like kicking my

600
00:36:44,040 --> 00:36:47,919
Speaker 1: dog for no reason. Um, and I'm just like falling over,

601
00:36:48,080 --> 00:36:50,919
Speaker 1: like trying not to hurt the dog. I know, I've

602
00:36:51,680 --> 00:36:56,240
Speaker 1: made some crazy moves like Ninja moves to avoid stepping

603
00:36:56,280 --> 00:36:59,359
Speaker 1: on a dog right right, Like You're like, You're like, well,

604
00:36:59,400 --> 00:37:01,160
Speaker 1: I don't need to protect my head, I need to

605
00:37:01,200 --> 00:37:05,080
Speaker 1: protect the dog. Yeah. I also love the baby Elephants

606
00:37:05,360 --> 00:37:10,680
Speaker 1: need to learn how to drink with their trunks. They

607
00:37:10,800 --> 00:37:14,680
Speaker 1: just do whatever they can their whole face in the water.

608
00:37:15,280 --> 00:37:19,279
Speaker 1: They also need help crossing rivers and stuff. So that's

609
00:37:19,280 --> 00:37:21,720
Speaker 1: what's so cute about the baby elephant helping the human

610
00:37:21,800 --> 00:37:24,439
Speaker 1: is like, I know what to do here. I got

611
00:37:24,520 --> 00:37:28,720
Speaker 1: your poddy, just stomping over and the guys like grab. Yeah,

612
00:37:28,760 --> 00:37:33,400
Speaker 1: that's horrifying but adorable. I got your putty, this huge

613
00:37:33,480 --> 00:37:40,560
Speaker 1: thing running towards you. Can animals help us become better people?

614
00:37:40,760 --> 00:37:44,400
Speaker 1: Well duh. When it comes to empathy, certain preferences towards

615
00:37:44,480 --> 00:37:48,480
Speaker 1: animals can predict higher empathy and tests. A psychology study

616
00:37:48,520 --> 00:37:51,719
Speaker 1: at the University of Windsor, Ontario found that the preferred

617
00:37:51,800 --> 00:37:55,640
Speaker 1: pets of children can predict higher empathy scores. The kids

618
00:37:55,640 --> 00:37:58,400
Speaker 1: with the highest empathy scores tended to prefer having a

619
00:37:58,440 --> 00:38:05,799
Speaker 1: pet drum roll prey these birds. Yes, also horses, but

620
00:38:05,960 --> 00:38:09,440
Speaker 1: we don't care about the dumb horses. I finally feel vindicated.

621
00:38:09,520 --> 00:38:12,760
Speaker 1: Being pro bird means you're just a better person. Whoa

622
00:38:13,120 --> 00:38:16,360
Speaker 1: imagine the empathy of kids who want Pegasus as a

623
00:38:16,400 --> 00:38:20,040
Speaker 1: pet like the ultimate empathetic those kids are. They're not

624
00:38:20,080 --> 00:38:22,840
Speaker 1: going to be able to do They're just going to

625
00:38:23,040 --> 00:38:26,920
Speaker 1: care too much. But not to worry dog and cat owners.

626
00:38:27,360 --> 00:38:30,680
Speaker 1: Not only can animals help kids be kinder but healthier

627
00:38:30,719 --> 00:38:36,080
Speaker 1: to pediatrician. Researchers at Kuopio University Hospital in Finland found

628
00:38:36,120 --> 00:38:38,400
Speaker 1: that babies who grew up with cats or dogs, but

629
00:38:38,719 --> 00:38:42,440
Speaker 1: especially dogs, were less likely to get sick than pet

630
00:38:42,520 --> 00:38:46,160
Speaker 1: free homes and had lower risks of allergies. Though the

631
00:38:46,200 --> 00:38:49,360
Speaker 1: cause of the correlation has not been verified, they theorized

632
00:38:49,400 --> 00:38:53,080
Speaker 1: that exposure to pet microbes helped boost the immune system.

633
00:38:53,160 --> 00:38:55,920
Speaker 1: The effects were profound. Babies with a dog in the

634
00:38:55,960 --> 00:39:00,760
Speaker 1: family were less likely to develop an ear infection. Maybe

635
00:39:00,840 --> 00:39:03,480
Speaker 1: dogs saliva should be bottled up and sold as medicine.

636
00:39:03,800 --> 00:39:16,360
Speaker 1: I'll be right back. I gotta run to the petant office. Okay, guys.

637
00:39:16,400 --> 00:39:19,759
Speaker 1: So there's a study published in a journal called Advances

638
00:39:19,760 --> 00:39:23,560
Speaker 1: in Effective and Pleasurable Design by researchers at the Shibora

639
00:39:23,680 --> 00:39:27,200
Speaker 1: Institute of Technology in Tokyo. The title of the study

640
00:39:27,440 --> 00:39:32,040
Speaker 1: is quote evaluation of Kawaii feelings caused by stuffed animals

641
00:39:32,080 --> 00:39:35,360
Speaker 1: to reduce stress. This study may be the most serious

642
00:39:35,440 --> 00:39:39,279
Speaker 1: technical study about cuteness that I've ever read. Here's a

643
00:39:39,360 --> 00:39:42,520
Speaker 1: choice quote from it quote, we have focused our attention

644
00:39:42,560 --> 00:39:46,120
Speaker 1: on the effective value of kawai as an additional value

645
00:39:46,120 --> 00:39:49,600
Speaker 1: of industrial products and have been conducting research to analyze

646
00:39:49,600 --> 00:39:54,399
Speaker 1: their physical attributes systematically. Essentially, they hooked up a participant

647
00:39:54,480 --> 00:39:57,799
Speaker 1: to an ECG sensor and measured their heart rate while

648
00:39:57,840 --> 00:40:00,680
Speaker 1: they looked at or touched the stuffed animal. The paper

649
00:40:00,719 --> 00:40:03,239
Speaker 1: includes images of the stuffed toys that were brought in

650
00:40:03,280 --> 00:40:06,399
Speaker 1: by the participants, including a green kitty with big ears

651
00:40:06,440 --> 00:40:08,759
Speaker 1: and a little bunny holding a heart. They found that

652
00:40:08,840 --> 00:40:11,400
Speaker 1: heart rate decreased when looking at the stuffed animals and

653
00:40:11,520 --> 00:40:15,320
Speaker 1: increased when touching them, possibly meaning there's an interesting interaction

654
00:40:15,360 --> 00:40:18,359
Speaker 1: between being calmed by cute things and feeling excited at

655
00:40:18,360 --> 00:40:21,440
Speaker 1: petting and booping them. Can you get cardio just by

656
00:40:21,440 --> 00:40:24,480
Speaker 1: looking at squeezing a stuffed animal? Probably not, but I'm

657
00:40:24,480 --> 00:40:26,240
Speaker 1: not going to tell you. Have to live your life

658
00:40:26,480 --> 00:40:28,160
Speaker 1: you'd like to give your heart a bit of arrest.

659
00:40:28,239 --> 00:40:30,360
Speaker 1: Here are some of the most adorable animals that you

660
00:40:30,440 --> 00:40:32,879
Speaker 1: may not have heard of, that you're definitely gonna want

661
00:40:32,880 --> 00:40:35,160
Speaker 1: to look up images of. Don't worry, I've put the

662
00:40:35,160 --> 00:40:38,400
Speaker 1: links to all these animals in the show notes, so

663
00:40:39,560 --> 00:40:44,320
Speaker 1: I can't wait. Have you heard of pause? Oh? Yeah, okay,

664
00:40:44,360 --> 00:40:47,560
Speaker 1: I spend the majority of my time on the internet

665
00:40:47,560 --> 00:40:52,479
Speaker 1: looking up cute animals. So those are the selfie taking animals. Yeah.

666
00:40:52,520 --> 00:40:56,960
Speaker 1: In Australia, these guys the teddy bears. Just for funsies.

667
00:40:57,000 --> 00:40:59,000
Speaker 1: I got a couple images here. Oh my god, they're

668
00:40:59,040 --> 00:41:02,239
Speaker 1: so freaking cute. They look like yes, they look like

669
00:41:02,400 --> 00:41:06,200
Speaker 1: a teddy bear mixed with a kangaroo mixed with like

670
00:41:06,480 --> 00:41:10,239
Speaker 1: a mouse. Yeah, yeah, they're and they're super friendly. Yeah.

671
00:41:10,239 --> 00:41:13,440
Speaker 1: They're about the size of a house cat. They are marsupials.

672
00:41:14,160 --> 00:41:17,239
Speaker 1: They're found on islands off the coast of Western Australia,

673
00:41:17,600 --> 00:41:21,160
Speaker 1: including the famous Rott Nest Island, which it's called rott

674
00:41:21,200 --> 00:41:25,239
Speaker 1: Nest from the Dutch rat nest. Uh because early explorers

675
00:41:25,280 --> 00:41:28,319
Speaker 1: mistook them for giant rats. Well, I don't see them

676
00:41:28,360 --> 00:41:31,799
Speaker 1: resemblance personally. They're dumb and have no souls. If they

677
00:41:31,840 --> 00:41:35,400
Speaker 1: think these guys are rats, they just look like friendly

678
00:41:35,440 --> 00:41:39,719
Speaker 1: little Teddy's uh bridgets serving some hot shade on the

679
00:41:39,800 --> 00:41:46,360
Speaker 1: Dutch explorers hot take people. Yeah. Uh So they have

680
00:41:46,480 --> 00:41:50,040
Speaker 1: pouches like kangaroos, and they're young, are called Joey's and

681
00:41:50,080 --> 00:41:55,880
Speaker 1: they're super slutty. They're very promiscuous. Uh So the islands

682
00:41:55,960 --> 00:41:58,719
Speaker 1: on which they live are mostly free of predators, so

683
00:41:58,760 --> 00:42:02,560
Speaker 1: they're remarkably on a rate of humans. And they're very friendly.

684
00:42:02,680 --> 00:42:06,160
Speaker 1: So they will walk up to you uh and let

685
00:42:06,200 --> 00:42:09,360
Speaker 1: you take pictures with them, and they're super friendly and unafraid.

686
00:42:09,440 --> 00:42:12,520
Speaker 1: But that does not mean you should touch them. Um.

687
00:42:12,520 --> 00:42:14,640
Speaker 1: First of all, they have been note to bite people,

688
00:42:15,120 --> 00:42:17,880
Speaker 1: because just because they're friendly doesn't mean they want you

689
00:42:18,040 --> 00:42:19,960
Speaker 1: playing with them or trying to pick them up. They

690
00:42:20,080 --> 00:42:23,040
Speaker 1: will bite you and you shouldn't play with them. You

691
00:42:23,080 --> 00:42:27,120
Speaker 1: can get heavy fines for trying to uh poke around

692
00:42:27,160 --> 00:42:30,359
Speaker 1: that they are wild animals. They are wild animals. Uh,

693
00:42:30,400 --> 00:42:32,920
Speaker 1: you should never feed them human food that can kill

694
00:42:32,960 --> 00:42:36,600
Speaker 1: them because it can dehydrate them and cause fatal kidney

695
00:42:36,600 --> 00:42:39,320
Speaker 1: problems if it's you know, like if the salt content

696
00:42:39,400 --> 00:42:42,120
Speaker 1: is different from their diet, like, they can die. You

697
00:42:42,160 --> 00:42:45,080
Speaker 1: never feed a wild Yeah, and like any any human

698
00:42:45,080 --> 00:42:47,440
Speaker 1: food can have aspects of it that could kill them.

699
00:42:47,440 --> 00:42:50,080
Speaker 1: So don't do it. Just don't do it. But they

700
00:42:50,120 --> 00:42:51,960
Speaker 1: are perfectly happy to walk up to you and take

701
00:42:52,000 --> 00:42:55,239
Speaker 1: a selfie with you, and that's perfectly fine. So if

702
00:42:55,280 --> 00:42:57,480
Speaker 1: you're polite and you give them some personal space and

703
00:42:57,560 --> 00:42:59,640
Speaker 1: you don't ruin their diet, like, they will take a

704
00:42:59,640 --> 00:43:03,000
Speaker 1: selfie like like an actual Instagram influencers. That's how you

705
00:43:03,080 --> 00:43:07,279
Speaker 1: treat them. You can't Instagram influencers will not eat your

706
00:43:07,280 --> 00:43:11,200
Speaker 1: garbage food. They will only eat plants. They will take

707
00:43:11,200 --> 00:43:13,000
Speaker 1: a selfie with you, but they will not let you

708
00:43:13,080 --> 00:43:15,040
Speaker 1: touch them. They will bite you. They will bite you.

709
00:43:15,239 --> 00:43:18,920
Speaker 1: That is true. Uh. So, I also want to talk

710
00:43:18,960 --> 00:43:22,120
Speaker 1: about another winner of the Cutest Animal Awards, which is

711
00:43:22,320 --> 00:43:30,520
Speaker 1: dictis Dicticks. You want at pick pick? Oh my god,

712
00:43:30,800 --> 00:43:34,160
Speaker 1: what that looks like a pokemon? It is a pokemon. Now,

713
00:43:34,280 --> 00:43:36,840
Speaker 1: it's not Dick Dix live in the southern and Eastern

714
00:43:36,920 --> 00:43:40,320
Speaker 1: African bush lands. It's one of the smallest ungulates in

715
00:43:40,400 --> 00:43:43,880
Speaker 1: An ungulut is a hooved animal uh and it is

716
00:43:43,920 --> 00:43:46,360
Speaker 1: a species of antelope that only grow up to be

717
00:43:46,440 --> 00:43:49,399
Speaker 1: about a foot tall, twenty inches long and about ten

718
00:43:49,480 --> 00:43:53,799
Speaker 1: pounds as adults. Bodies they're named Dick Dix because of

719
00:43:53,800 --> 00:43:56,160
Speaker 1: the alarm calls they make, which kind of sounds like

720
00:43:56,200 --> 00:43:58,200
Speaker 1: a squeaky toy. I'm gonna play a little clip of

721
00:43:58,239 --> 00:44:08,760
Speaker 1: this for you, so freaking cute, like a little bird.

722
00:44:08,960 --> 00:44:11,120
Speaker 1: I know, it sounds like a squeaky toy that like

723
00:44:11,360 --> 00:44:13,719
Speaker 1: is kind of losing that squeak a little bit like

724
00:44:13,760 --> 00:44:18,400
Speaker 1: an old squeaker. You know. I had a toy train

725
00:44:18,440 --> 00:44:20,600
Speaker 1: when I was a kid that had a little squeaker

726
00:44:20,640 --> 00:44:22,520
Speaker 1: toy and you would wind it up and it would

727
00:44:22,560 --> 00:44:24,560
Speaker 1: like like do a little chugg a chugg a thing,

728
00:44:24,560 --> 00:44:28,319
Speaker 1: and it had that exact sound. It was like, it's

729
00:44:28,360 --> 00:44:32,440
Speaker 1: just like a steam engine. A tiny that's so cute.

730
00:44:32,800 --> 00:44:36,560
Speaker 1: So they have an elongated snoot that helps them from overheating.

731
00:44:36,600 --> 00:44:38,600
Speaker 1: It's actually called a snout, but I call it an

732
00:44:39,920 --> 00:44:42,360
Speaker 1: The snow works like a bellows that cools blood that

733
00:44:42,560 --> 00:44:47,719
Speaker 1: enters the snout area. Another cool fact, females are a

734
00:44:47,719 --> 00:44:55,440
Speaker 1: bit bigger than males. Nice stick stick burn feminism, lean

735
00:44:55,560 --> 00:44:59,920
Speaker 1: and ladies. Males have tiny horns. That's not an insult.

736
00:45:00,400 --> 00:45:04,440
Speaker 1: They do literally have tiny horns and little tufted mohawks. Oh,

737
00:45:04,800 --> 00:45:08,600
Speaker 1: little tough right over the somehow, a little punk, little

738
00:45:08,600 --> 00:45:15,719
Speaker 1: punk tictic to go the man. They also create little

739
00:45:15,800 --> 00:45:18,840
Speaker 1: roadways that they use when they feel threatened, so a

740
00:45:18,880 --> 00:45:22,279
Speaker 1: lot of this is true of other prey animals, to

741
00:45:22,680 --> 00:45:26,759
Speaker 1: like small rodents, where they will actually create pathways in

742
00:45:26,840 --> 00:45:28,920
Speaker 1: the grass and in the bush that they know they

743
00:45:28,920 --> 00:45:31,719
Speaker 1: can use that as a clear path away from predators.

744
00:45:32,560 --> 00:45:35,640
Speaker 1: So they'll run along these little roadways that they've memorized

745
00:45:36,480 --> 00:45:39,839
Speaker 1: to evade getting eaten because they're so cute and eatable. Yeah,

746
00:45:39,920 --> 00:45:42,239
Speaker 1: and they know and they know that they know. They're like,

747
00:45:42,280 --> 00:45:45,760
Speaker 1: they're gonna be after me, my cuteness in my meat.

748
00:45:47,400 --> 00:45:52,800
Speaker 1: Their monogamous and they're okay, this is extremely cute. Uh.

749
00:45:52,960 --> 00:45:56,560
Speaker 1: Males don't really fight from females that often, but when

750
00:45:56,640 --> 00:45:59,880
Speaker 1: they do, they charge at each other. They stopped short

751
00:46:00,040 --> 00:46:06,359
Speaker 1: and they rigorously waggle their heads menacingly, and then they

752
00:46:06,520 --> 00:46:09,000
Speaker 1: run back and do it again until one of them

753
00:46:09,000 --> 00:46:13,080
Speaker 1: eventually chickens out. Oh my god, what little scaredy cat.

754
00:46:13,239 --> 00:46:16,040
Speaker 1: They just they never actually, they don't really have that

755
00:46:16,080 --> 00:46:21,200
Speaker 1: many physical altercations. It's like a lot of friends. I'm

756
00:46:21,239 --> 00:46:25,320
Speaker 1: just getting, just getting. It's like, yeah, how my dog plays.

757
00:46:25,360 --> 00:46:29,359
Speaker 1: She's like, I'm not that tough. Yeah, my dog. She

758
00:46:29,600 --> 00:46:33,040
Speaker 1: When I visit my parents house, she likes to chase bunnies,

759
00:46:33,640 --> 00:46:37,920
Speaker 1: but when she corners a bunny, she runs back towards

760
00:46:37,920 --> 00:46:40,279
Speaker 1: the house and then makes a big loop and then

761
00:46:40,520 --> 00:46:43,200
Speaker 1: tries to like chase the bunny again, so like gives

762
00:46:43,200 --> 00:46:45,720
Speaker 1: the bunny a head start because she has no idea

763
00:46:45,760 --> 00:46:47,960
Speaker 1: what to do. Like, once she actually corners a bunny,

764
00:46:48,000 --> 00:46:51,600
Speaker 1: she's like, I, honestly, I never prepared to get this far.

765
00:46:51,840 --> 00:46:54,680
Speaker 1: So I didn't plan for this. I'm just gonna loop

766
00:46:54,719 --> 00:46:58,480
Speaker 1: back around. Well, we'll do this again, We'll try again.

767
00:46:59,040 --> 00:47:02,440
Speaker 1: Uh So, I'm I don't want to give mammals like

768
00:47:02,600 --> 00:47:05,320
Speaker 1: all of the credit for bank cute. So we're gonna

769
00:47:05,360 --> 00:47:10,160
Speaker 1: go under the sea and look at the Dumbo octopus.

770
00:47:10,160 --> 00:47:14,960
Speaker 1: Oh have you heard of the I Uh So, here's

771
00:47:15,000 --> 00:47:19,319
Speaker 1: a here's a quick image refresher for you. Aren't these

772
00:47:19,320 --> 00:47:22,480
Speaker 1: guys like super super deadly. No, you're thinking of the

773
00:47:22,680 --> 00:47:27,000
Speaker 1: I think you're thinking of the blue ringed us deadly

774
00:47:27,120 --> 00:47:31,080
Speaker 1: off the coast of Australia. These guys are just cute.

775
00:47:31,120 --> 00:47:32,840
Speaker 1: They look like if you they look like if you

776
00:47:32,880 --> 00:47:35,200
Speaker 1: squeeze them, they would squeeze. Yeah, they they do kind

777
00:47:35,200 --> 00:47:38,000
Speaker 1: of look like one of those squeezy toys. Uh. So

778
00:47:38,160 --> 00:47:42,120
Speaker 1: they're actually a species of umbrella octopus known for the

779
00:47:42,160 --> 00:47:45,720
Speaker 1: webbing between their tentacles that make them look like an umbrella.

780
00:47:46,400 --> 00:47:49,880
Speaker 1: That's the name. They're called Dumbo because of their big ears,

781
00:47:49,920 --> 00:47:52,600
Speaker 1: which are not ears, they're just fins that extend from

782
00:47:52,600 --> 00:47:56,120
Speaker 1: the mantle of the octopus. Uh. And they move around

783
00:47:56,200 --> 00:48:00,080
Speaker 1: by flat and they're a little so it looks, you

784
00:48:00,080 --> 00:48:03,359
Speaker 1: know how like Dumbo flies around using them big years. Uh.

785
00:48:03,440 --> 00:48:05,239
Speaker 1: That's that's how they do it. But you have a

786
00:48:05,280 --> 00:48:10,000
Speaker 1: feather that they chase. They're cute and they steer with

787
00:48:10,000 --> 00:48:13,200
Speaker 1: their tentacles. There they're just like boo boo boo boo

788
00:48:12,440 --> 00:48:16,279
Speaker 1: boo years and then they steer with their tentacles. Yes. Uh,

789
00:48:16,320 --> 00:48:20,240
Speaker 1: they're very rare octopus. They live at depths of around

790
00:48:20,239 --> 00:48:24,440
Speaker 1: ten thousand feet um. They're found worldwide. Uh. Most are

791
00:48:24,440 --> 00:48:28,399
Speaker 1: only about nine inches long. Um. They can change their

792
00:48:28,400 --> 00:48:33,600
Speaker 1: skin color using chromatophor cells, just like other octopuses and

793
00:48:33,680 --> 00:48:37,399
Speaker 1: other squids. Uh. And they are just the cutest thing.

794
00:48:37,600 --> 00:48:40,480
Speaker 1: They're so tiny, they are so tiny and cute, look

795
00:48:40,480 --> 00:48:44,480
Speaker 1: like they have bigger lives. They look like little squashies. Um. So,

796
00:48:44,600 --> 00:48:48,680
Speaker 1: now I want to change your opinion. You're are you

797
00:48:48,760 --> 00:48:52,560
Speaker 1: the person who doesn't like moths? Have someone else? That

798
00:48:52,680 --> 00:48:56,000
Speaker 1: might be someone else? Not a big phantom moths. But

799
00:48:56,160 --> 00:48:59,640
Speaker 1: I want to change anyone who dislikes moths. I got

800
00:48:59,719 --> 00:49:03,000
Speaker 1: I got something to change your mind. Uh So, this

801
00:49:03,080 --> 00:49:05,560
Speaker 1: is something that has been going around on the internet,

802
00:49:05,560 --> 00:49:06,680
Speaker 1: and I want to do a little bit of myth

803
00:49:06,680 --> 00:49:09,600
Speaker 1: busting too. So. Uh if you've ever heard of the

804
00:49:09,680 --> 00:49:12,880
Speaker 1: Venezuelan poodle moth, may be wondering if this is a

805
00:49:12,960 --> 00:49:16,880
Speaker 1: real animal. Uh So, there's images of this fluffy white

806
00:49:16,920 --> 00:49:21,879
Speaker 1: moth who looks like a pokemon. Oh my god. Um

807
00:49:22,040 --> 00:49:27,200
Speaker 1: looks like it has real human eyes. Um. It has

808
00:49:27,280 --> 00:49:31,560
Speaker 1: big black eyes, and it's furry and white, and it

809
00:49:31,560 --> 00:49:35,640
Speaker 1: it looks extremely fluffy with tufted legs. Yeah I would,

810
00:49:35,640 --> 00:49:38,239
Speaker 1: I would cuttle it. Yeah I would too. I mean,

811
00:49:38,239 --> 00:49:40,120
Speaker 1: can you imagine one of those like landing on your

812
00:49:40,120 --> 00:49:42,279
Speaker 1: hand and you just like pet it, give it like

813
00:49:42,320 --> 00:49:45,759
Speaker 1: a little like a little teeny tiny I'm not a

814
00:49:45,800 --> 00:49:50,120
Speaker 1: bug fan. It is a cute bug um. And uh

815
00:49:50,480 --> 00:49:54,440
Speaker 1: it's sometimes called a hoax, sometimes not. Well, it's not

816
00:49:54,640 --> 00:49:56,880
Speaker 1: quite a hoax. But there are a lot of myths

817
00:49:56,960 --> 00:49:59,919
Speaker 1: about this little guy. So first of all, there's an

818
00:50:00,000 --> 00:50:03,360
Speaker 1: meage that goes around online that is called the Venezuelan

819
00:50:03,360 --> 00:50:05,480
Speaker 1: poodle moth, and it is not a real moth. It's

820
00:50:05,480 --> 00:50:10,439
Speaker 1: actually a felted sculpture made out of wool, so that's

821
00:50:10,440 --> 00:50:13,160
Speaker 1: not real, but it does look pretty similar to the

822
00:50:13,239 --> 00:50:17,239
Speaker 1: real poodle. Or it's not really a poodle moth. Um.

823
00:50:17,280 --> 00:50:21,040
Speaker 1: There's not a known species of Venezuelan poodle moth. It

824
00:50:21,080 --> 00:50:24,440
Speaker 1: gets this name because there's a photograph of one of

825
00:50:24,480 --> 00:50:27,840
Speaker 1: these fuzzy moths taken in Venezuela and it looks like

826
00:50:27,920 --> 00:50:33,200
Speaker 1: a poodle. But this photo is most likely of existing

827
00:50:33,239 --> 00:50:38,640
Speaker 1: species of moths, so belonging to the R taste genus um.

828
00:50:38,760 --> 00:50:41,239
Speaker 1: One candidate for what this moth could be is the

829
00:50:41,400 --> 00:50:46,280
Speaker 1: R taste crib Burera or crib Aria moth, who looks

830
00:50:46,320 --> 00:50:49,280
Speaker 1: a lot like the food photographed poodle moth the foodle

831
00:50:49,280 --> 00:50:52,919
Speaker 1: graphed poodle moth. I like that is a cute guy.

832
00:50:53,040 --> 00:50:56,160
Speaker 1: It's like wearing a little like Morpheus sunglasses, like a

833
00:50:56,200 --> 00:50:59,880
Speaker 1: little little sunglasses and little leg warmers. It's actually super eighties,

834
00:51:00,160 --> 00:51:03,320
Speaker 1: isn't it a furry or seventies? I guess like with

835
00:51:03,480 --> 00:51:09,440
Speaker 1: the big furry leg warmers. It's um and it also

836
00:51:09,480 --> 00:51:13,160
Speaker 1: often gets confused with another species of moth um and

837
00:51:13,280 --> 00:51:17,360
Speaker 1: it's actually an existing species called the bombyx mori, which

838
00:51:17,560 --> 00:51:20,880
Speaker 1: is a silkworm moth. And it's actually a domesticated animal.

839
00:51:21,280 --> 00:51:25,920
Speaker 1: But um, what a weird so it hails from China.

840
00:51:26,520 --> 00:51:29,799
Speaker 1: It's like the sheep of moths. Uh. It's used in

841
00:51:29,840 --> 00:51:33,840
Speaker 1: the production of silk, so eat mulberry leaves and produced

842
00:51:33,880 --> 00:51:38,839
Speaker 1: silk and strands. UH. It's wild ancestor, the Bombyx mandarina UH.

843
00:51:38,960 --> 00:51:42,560
Speaker 1: It's found in northern India, northern China, Japan, Korea, and Russia.

844
00:51:42,600 --> 00:51:46,080
Speaker 1: But it actually doesn't look very similar to the domesticated

845
00:51:46,400 --> 00:51:51,200
Speaker 1: bombyx mori moth. Uh. The wild species is not pure white.

846
00:51:51,200 --> 00:51:55,400
Speaker 1: It has pigment um and so the domesticated ones are

847
00:51:55,520 --> 00:51:59,040
Speaker 1: very fluffy and cute looking um. So they've lost also

848
00:51:59,120 --> 00:52:02,400
Speaker 1: lost their ability to fly because they don't need to

849
00:52:02,440 --> 00:52:06,719
Speaker 1: because on these moth farms they just get fed, they don't.

850
00:52:07,120 --> 00:52:10,879
Speaker 1: They just like, I'm living the life here exactly anywhere. Yeah,

851
00:52:10,920 --> 00:52:14,640
Speaker 1: and so they are very cute. They look like fluffy poodles. Um.

852
00:52:14,719 --> 00:52:17,520
Speaker 1: I like the idea that we ran out of stuff

853
00:52:17,560 --> 00:52:22,160
Speaker 1: to call animals, so we just call it other animal names. Exactly.

854
00:52:22,200 --> 00:52:27,000
Speaker 1: I mean poodles, sheeps right exactly. Or you could say

855
00:52:27,080 --> 00:52:33,880
Speaker 1: that sheep are the bombyx mori moths. Of no, let's

856
00:52:33,880 --> 00:52:38,680
Speaker 1: not do that. They are sheep moths. So another cool

857
00:52:38,760 --> 00:52:42,520
Speaker 1: thing is there are these little fluffy moths on the moon.

858
00:52:43,120 --> 00:52:48,720
Speaker 1: No freaking wait, Chinese researchers and the Lunar Exploration Program

859
00:52:48,840 --> 00:52:53,200
Speaker 1: have put these silkworm moths on the moon. They want

860
00:52:53,200 --> 00:52:55,680
Speaker 1: to see if they can survive in a mini ecosystem

861
00:52:55,719 --> 00:52:59,680
Speaker 1: of plants. So it's an enclosed microcosm like kind of

862
00:52:59,719 --> 00:53:04,600
Speaker 1: like a Martian with Matt Damon, but Matt Damon. They're

863
00:53:04,680 --> 00:53:09,719
Speaker 1: making their own potatoes, poop potatoes, well exactly. So their

864
00:53:09,719 --> 00:53:13,600
Speaker 1: poop is used to fertilize the plants, and the moths

865
00:53:13,640 --> 00:53:16,000
Speaker 1: feed on the plants. So they want to see if

866
00:53:16,000 --> 00:53:18,040
Speaker 1: the plants can phoe to synthesize, and if they can

867
00:53:18,360 --> 00:53:22,920
Speaker 1: basically create this little little tiny world of moon lunar moths,

868
00:53:23,280 --> 00:53:30,280
Speaker 1: moth astronuts, most nuts. I really hope that, like maybe

869
00:53:30,320 --> 00:53:33,400
Speaker 1: if we destroy ourselves with nuclear weapons, I hope not.

870
00:53:33,800 --> 00:53:37,239
Speaker 1: I hope not. I would prefer not that. But if

871
00:53:37,280 --> 00:53:40,400
Speaker 1: it does happen, like maybe they'll continue to survive somehow

872
00:53:40,800 --> 00:53:45,000
Speaker 1: and like create this whole colony of moon moths and

873
00:53:45,000 --> 00:53:48,560
Speaker 1: then like it's a new civilization, they will tell our story.

874
00:53:51,000 --> 00:53:54,480
Speaker 1: They will survive us. So I want to end the

875
00:53:54,560 --> 00:53:57,160
Speaker 1: show with a news story that actually bridget you brought

876
00:53:57,280 --> 00:54:02,799
Speaker 1: to my attention. So it's in our new segment. I

877
00:54:02,840 --> 00:54:07,000
Speaker 1: want to call birds bounce balls. Yeah, so there's a

878
00:54:07,120 --> 00:54:11,600
Speaker 1: viral video of a bird bouncing a golf ball on

879
00:54:11,640 --> 00:54:16,359
Speaker 1: a golf course and looking extremely excited. Um, it's all

880
00:54:16,400 --> 00:54:19,920
Speaker 1: posted a link to that video in the show notes uh,

881
00:54:20,200 --> 00:54:25,080
Speaker 1: and it is a Brazilian bird called the sirium. I

882
00:54:25,080 --> 00:54:28,040
Speaker 1: think maybe I could. I don't know. You're the one

883
00:54:28,080 --> 00:54:30,840
Speaker 1: that's a tall tall, But I don't have a degree

884
00:54:31,520 --> 00:54:34,560
Speaker 1: and bird. I have a degree in psychology, but I

885
00:54:34,560 --> 00:54:39,120
Speaker 1: studied evolutionary but that's what I meant right right right, Um, yeah,

886
00:54:39,160 --> 00:54:43,280
Speaker 1: but I don't have a degree in ornithology, which is well,

887
00:54:43,400 --> 00:54:46,560
Speaker 1: but this would be um, So you have a Twitter

888
00:54:46,600 --> 00:54:52,360
Speaker 1: account pro bird rights on Twitter, which makes me the

889
00:54:52,360 --> 00:54:56,440
Speaker 1: biggest expert on birds, the foremost expert again, best animal,

890
00:54:56,560 --> 00:55:00,279
Speaker 1: most empathetic people love birds. I really wouldn't get set

891
00:55:00,360 --> 00:55:02,799
Speaker 1: birds as best. I mean, part of it could be

892
00:55:02,840 --> 00:55:05,080
Speaker 1: just like you have to be super impetuous to be

893
00:55:05,160 --> 00:55:06,880
Speaker 1: able to look into the eyes of a bird and

894
00:55:06,920 --> 00:55:10,200
Speaker 1: see it. So yeah, you can do it. So these

895
00:55:10,239 --> 00:55:13,640
Speaker 1: birds there, um, they kind of look like more delicate

896
00:55:14,280 --> 00:55:18,040
Speaker 1: ostriches um. They're smaller than an ostrich their legs are

897
00:55:18,160 --> 00:55:24,000
Speaker 1: thinner um, and they are carnivores so they will eat eggs.

898
00:55:24,000 --> 00:55:26,800
Speaker 1: So the reason it's bouncing this golf ball and looking

899
00:55:26,840 --> 00:55:29,360
Speaker 1: extremely agitated is that it thinks it's an egg and

900
00:55:29,360 --> 00:55:31,680
Speaker 1: it keeps trying to crack it open but it doesn't happen.

901
00:55:31,760 --> 00:55:34,600
Speaker 1: So it's like, what what it's blowing its little bird mind,

902
00:55:35,360 --> 00:55:39,960
Speaker 1: destructible egg. I looked at this video and just thought

903
00:55:39,960 --> 00:55:42,680
Speaker 1: it was super stoked that it could bounce a ball. Maybe,

904
00:55:42,960 --> 00:55:46,080
Speaker 1: I mean, I can't read its mind, but no, your

905
00:55:46,120 --> 00:55:48,040
Speaker 1: story makes more sense that it was trying to kill it.

906
00:55:49,239 --> 00:55:52,520
Speaker 1: I mean, it's it's just an egg trying to scramble

907
00:55:52,520 --> 00:55:55,040
Speaker 1: an egg. Yeah, I was just trying to be dramatic

908
00:55:55,040 --> 00:55:58,360
Speaker 1: about this egg murder. Egg murder it was. Yeah, I

909
00:55:58,400 --> 00:56:00,279
Speaker 1: was just trying to make some eggs. But to make

910
00:56:00,320 --> 00:56:02,279
Speaker 1: some eggs, I mean it could be. I mean I

911
00:56:02,320 --> 00:56:06,520
Speaker 1: know that in babies when they try something in physics

912
00:56:06,640 --> 00:56:09,719
Speaker 1: and it turns out unexpectedly because they have this kind

913
00:56:09,719 --> 00:56:12,400
Speaker 1: of innate understanding of some physics. Like they know a

914
00:56:12,480 --> 00:56:14,959
Speaker 1: big ball, if it's smacks a small ball, the small

915
00:56:14,960 --> 00:56:17,160
Speaker 1: ball will both flying. But if a small ball smacks

916
00:56:17,239 --> 00:56:19,520
Speaker 1: into a big ball, the big ball will either remain

917
00:56:19,600 --> 00:56:22,040
Speaker 1: motionless or not really move that much at all. But

918
00:56:22,080 --> 00:56:25,200
Speaker 1: if they see the opposite, like a like a small

919
00:56:25,200 --> 00:56:27,799
Speaker 1: ball smacking a big ball that goes flying, their eyes

920
00:56:27,840 --> 00:56:31,640
Speaker 1: get wide and they get really excited because it's it's

921
00:56:31,640 --> 00:56:35,120
Speaker 1: start magic. So maybe the bird is like expecting the

922
00:56:35,120 --> 00:56:38,640
Speaker 1: egg to crack and it doesn't because it's mine is

923
00:56:38,640 --> 00:56:41,160
Speaker 1: just blown, and it's really excited because it's either I mean,

924
00:56:41,200 --> 00:56:43,239
Speaker 1: either way it still works, because it's either that or

925
00:56:43,280 --> 00:56:46,120
Speaker 1: it's having like an Elmer Fudd reaction and getting like

926
00:56:46,400 --> 00:56:49,719
Speaker 1: very upset so you know what, it works either way

927
00:56:49,800 --> 00:56:52,560
Speaker 1: for me, it's a little face just getting so red

928
00:56:52,600 --> 00:56:58,120
Speaker 1: as it's Oh, it works either way. The video is

929
00:56:58,160 --> 00:57:04,840
Speaker 1: still great. Well, Bridget, thank you so much for joining

930
00:57:04,920 --> 00:57:07,200
Speaker 1: us today on our do you do you want to

931
00:57:07,239 --> 00:57:12,640
Speaker 1: declare a winner in the cute off of animals? Oh? Man, um,

932
00:57:12,680 --> 00:57:18,280
Speaker 1: that is hard. I if you choose wrong, everyone will attack,

933
00:57:18,480 --> 00:57:21,400
Speaker 1: everyone will attack. Man. Yeah, it's hard to choose in

934
00:57:21,440 --> 00:57:25,240
Speaker 1: a cute off. I did really like the dicktick Dick

935
00:57:25,320 --> 00:57:28,160
Speaker 1: dick pick pick, the dict pick pick. It might be

936
00:57:28,200 --> 00:57:30,720
Speaker 1: a name thing, but it is very cute. Don't send

937
00:57:30,720 --> 00:57:32,840
Speaker 1: me dick picks, but send me dick dick pick picks.

938
00:57:33,360 --> 00:57:36,000
Speaker 1: I almost don't want to say that into a microphone.

939
00:57:37,760 --> 00:57:41,000
Speaker 1: All right, Well you've got anything to plug, Bridget? Uh? Yeah,

940
00:57:41,040 --> 00:57:42,960
Speaker 1: I got a couple of things. If you go to

941
00:57:43,080 --> 00:57:45,560
Speaker 1: small Beans, you can find two of my podcast, one

942
00:57:45,600 --> 00:57:48,320
Speaker 1: of which is called rough Stuff, where we have comedians

943
00:57:48,320 --> 00:57:51,640
Speaker 1: on and they tell embarrassing stories about their childhood. Amazon

944
00:57:51,720 --> 00:57:54,000
Speaker 1: there I talked snails when I was a kid, and

945
00:57:54,040 --> 00:57:56,919
Speaker 1: that freaked me out quite a bit. And then there's

946
00:57:56,960 --> 00:58:00,560
Speaker 1: another one called what Dinosaur Real Good, where my co

947
00:58:00,680 --> 00:58:03,240
Speaker 1: host and I each ticke a dinosaur every week and

948
00:58:03,440 --> 00:58:07,760
Speaker 1: talk about that dinosaur. And we wrote, Yeah, so have

949
00:58:07,840 --> 00:58:11,360
Speaker 1: you talked about tarasaurs yet? We have? We had some

950
00:58:11,760 --> 00:58:16,240
Speaker 1: nice Uh, we've talked about some but yeah, tons of dinosaurs.

951
00:58:16,480 --> 00:58:18,480
Speaker 1: Well if you like, if you like this podcast, but

952
00:58:18,480 --> 00:58:22,200
Speaker 1: you're gonna like this podcast? Yeah, uh. Where can people

953
00:58:22,200 --> 00:58:24,600
Speaker 1: find you on on the internet. On the Internet, you

954
00:58:24,600 --> 00:58:29,680
Speaker 1: can find it in your specifically dick Dick pick picks

955
00:58:30,080 --> 00:58:32,360
Speaker 1: I K d I K P I K P I

956
00:58:32,440 --> 00:58:35,640
Speaker 1: K thank you, Katie. You can find me on Twitter

957
00:58:35,800 --> 00:58:39,840
Speaker 1: at bridget Tweets and on Instagram at bridget Underscore Greenberg.

958
00:58:40,480 --> 00:58:44,840
Speaker 1: You can find us on the website Creature Feature pod

959
00:58:44,880 --> 00:58:50,040
Speaker 1: dot com, on Instagram Creature Feature Pod, on Twitter at

960
00:58:50,160 --> 00:58:53,360
Speaker 1: Creature feet Pod, at the a t uh and you

961
00:58:53,360 --> 00:58:56,800
Speaker 1: can find me at Katie Golden and at pro bird Writes,

962
00:58:56,920 --> 00:59:00,840
Speaker 1: where I will make sure that have the right to

963
00:59:00,880 --> 00:59:05,120
Speaker 1: attack golf courses. Yeah, someone has to, someone has to

964
00:59:06,240 --> 00:59:11,760
Speaker 1: truth to golf courses. And thanks to the Space Classics

965
00:59:11,800 --> 00:59:13,960
Speaker 1: for their awesome song Exo Lumina