1
00:00:06,920 --> 00:00:09,720
Speaker 1: Hey, everybody, Welcome to Creature Feature, a production of I

2
00:00:09,840 --> 00:00:13,760
Speaker 1: Heart Radio. I'm your host of Many Parasites, Katie Golden.

3
00:00:14,160 --> 00:00:18,400
Speaker 1: I studied psychology and evolutionary biology. And we're according this

4
00:00:18,480 --> 00:00:23,079
Speaker 1: podcast at spooky night times. And wait, what day is it?

5
00:00:23,120 --> 00:00:25,800
Speaker 1: Is it a full moon? Wait it's it's not it's

6
00:00:25,840 --> 00:00:29,560
Speaker 1: a waning crescent. Oh god, no, not a waning crescent.

7
00:00:29,880 --> 00:00:34,400
Speaker 1: I turned into oh where podcaster? I feel the need

8
00:00:34,479 --> 00:00:38,200
Speaker 1: to talk to you about random anecdotes and Hello Fresh

9
00:00:38,280 --> 00:00:42,360
Speaker 1: And on today's episode, we're talking about werewolves. Where are they?

10
00:00:42,560 --> 00:00:45,239
Speaker 1: What are they? And is there any truth behind the

11
00:00:45,280 --> 00:00:50,640
Speaker 1: werewolf legends? Discover this and more as we answer the

12
00:00:50,680 --> 00:00:54,000
Speaker 1: age old question does your dog want to eat your face?

13
00:00:55,280 --> 00:01:00,560
Speaker 1: So in the Principality of Ansbach, where is now an

14
00:01:00,600 --> 00:01:03,320
Speaker 1: area in modern day Germany, had a bit of a

15
00:01:03,360 --> 00:01:07,520
Speaker 1: werewolf problem. You see, the townsfolk of Ansbach were once

16
00:01:07,600 --> 00:01:11,720
Speaker 1: ruled by a despicable mayor whom everyone hated. And fortunately

17
00:01:11,800 --> 00:01:16,119
Speaker 1: nature took its course and the mayor died. Unfortunately, the

18
00:01:16,160 --> 00:01:21,600
Speaker 1: mayor came back as an undead werewolf. This werewolf terrorized

19
00:01:21,680 --> 00:01:26,039
Speaker 1: the town, killing livestock and was even said to devour people.

20
00:01:26,800 --> 00:01:30,080
Speaker 1: The townsfolk, fed up of this well fed wolf, gathered

21
00:01:30,120 --> 00:01:33,399
Speaker 1: in a hunting party along with their faithful dogs, and

22
00:01:33,520 --> 00:01:36,760
Speaker 1: chased the wolf into a well where it was easily killed.

23
00:01:37,280 --> 00:01:40,280
Speaker 1: To make certain that their ex mayor turned werewolf could

24
00:01:40,280 --> 00:01:43,959
Speaker 1: not rise from the grave again, they clothed the wolf

25
00:01:44,040 --> 00:01:47,400
Speaker 1: and a man's garments, chopped off its nose, and put

26
00:01:47,400 --> 00:01:51,080
Speaker 1: a human mask on its face. This grizzly man wolf

27
00:01:51,160 --> 00:01:55,080
Speaker 1: cadaver was then hung on a pole in the town square. Now,

28
00:01:55,160 --> 00:01:57,840
Speaker 1: of course, this wasn't a real werewolf, just a very

29
00:01:57,920 --> 00:02:01,040
Speaker 1: unfortunate loner wolf who got a little greedy ate some

30
00:02:01,120 --> 00:02:03,120
Speaker 1: sheep and got killed and dressed up by a bunch

31
00:02:03,160 --> 00:02:07,320
Speaker 1: of angry and upsettingly creative townsfolk. But where does the

32
00:02:07,400 --> 00:02:11,200
Speaker 1: werewolf story come from? And are there any wolves that

33
00:02:11,240 --> 00:02:14,079
Speaker 1: match up with the legends? Joining me today to talk

34
00:02:14,120 --> 00:02:17,560
Speaker 1: about the myth and reality? Is comedian human and definitely

35
00:02:17,560 --> 00:02:23,200
Speaker 1: not a werewolf? Nick Turner, Yeah, young, Does that have

36
00:02:23,280 --> 00:02:27,320
Speaker 1: like a connection to werewolves or No? I'm just just

37
00:02:27,440 --> 00:02:30,440
Speaker 1: trying to trying to get him nominated, get him the

38
00:02:30,480 --> 00:02:38,240
Speaker 1: Democratic nomination. Well I'll talk about um. So I have

39
00:02:38,320 --> 00:02:41,920
Speaker 1: some questions. Where did they get the human face? The

40
00:02:42,639 --> 00:02:46,239
Speaker 1: what do you mean, oh, and the townspeople. It was

41
00:02:46,240 --> 00:02:48,960
Speaker 1: a mask. It was just a mask then't like I

42
00:02:48,960 --> 00:02:51,000
Speaker 1: mean it was in my head one of these like

43
00:02:51,040 --> 00:02:56,280
Speaker 1: take my face. Yeah, yeah, No, it wasn't quite that

44
00:02:56,400 --> 00:02:59,720
Speaker 1: Jigsaw nightmare. Just a little bit of Jigsaw nightmare. Okay,

45
00:02:59,760 --> 00:03:03,040
Speaker 1: I so, um, I wanted to guess on the spelling

46
00:03:03,040 --> 00:03:10,280
Speaker 1: of a go for it, okay, um, okay, yeah, now

47
00:03:10,360 --> 00:03:17,680
Speaker 1: here's where it gets difficult. Okay, you out. Okay, it's

48
00:03:17,720 --> 00:03:23,680
Speaker 1: a N, S, B A C H. Now, full disclosure,

49
00:03:23,919 --> 00:03:26,360
Speaker 1: I don't speak German. I have no idea if I

50
00:03:26,400 --> 00:03:29,920
Speaker 1: pronounced that right, I was probably spelling the way. And

51
00:03:30,360 --> 00:03:34,760
Speaker 1: if German listeners you can definitely correct me, but I

52
00:03:34,840 --> 00:03:38,280
Speaker 1: probably won't bring it up again. I think you're right.

53
00:03:39,000 --> 00:03:43,760
Speaker 1: So you know we're we're wolves. They're wolves, get it anyways,

54
00:03:43,760 --> 00:03:46,520
Speaker 1: I don't. This is gonna be this is gonna be rough.

55
00:03:46,720 --> 00:03:49,520
Speaker 1: I'm all right. That was my only joke I wrote

56
00:03:49,560 --> 00:03:52,360
Speaker 1: for this whole episode. So already off to a great

57
00:03:53,520 --> 00:03:56,560
Speaker 1: There are actually were wolves all over the world in

58
00:03:56,680 --> 00:04:01,760
Speaker 1: different cultures. So in Greek mythology, Zeus turned a wicked

59
00:04:01,800 --> 00:04:07,760
Speaker 1: man named like kon lice on probably like on like

60
00:04:07,760 --> 00:04:10,520
Speaker 1: like it. Oh, yeah, maybe Lichen that actually no, no,

61
00:04:10,640 --> 00:04:13,560
Speaker 1: you want you know what? That's probably right. So he

62
00:04:13,600 --> 00:04:16,880
Speaker 1: turned a wicked man named Lichen into a wolf. Lichan

63
00:04:16,960 --> 00:04:19,479
Speaker 1: had tried to serve Zeus a meal made of his

64
00:04:19,560 --> 00:04:22,720
Speaker 1: own son. So Lichan killed his own son and tried

65
00:04:22,760 --> 00:04:26,039
Speaker 1: to serve it to Zeus as I guess, like a

66
00:04:26,120 --> 00:04:28,719
Speaker 1: bit of like a prank or like are you really

67
00:04:28,760 --> 00:04:31,279
Speaker 1: a god? If you're yeah, like, if you're a god,

68
00:04:31,440 --> 00:04:34,120
Speaker 1: you would know that this meal I'm serving you as

69
00:04:34,200 --> 00:04:38,000
Speaker 1: my dead boy. M Maybe it would be a prank

70
00:04:38,080 --> 00:04:40,719
Speaker 1: to serve Zeus's son to him. Yeah, but I don't

71
00:04:40,720 --> 00:04:42,960
Speaker 1: see it. No, it's I don't know. I mean, it's

72
00:04:43,040 --> 00:04:45,960
Speaker 1: also not a great prank the other way you got pumped.

73
00:04:49,800 --> 00:04:52,240
Speaker 1: Zeus was not a fan of this stunt, and he

74
00:04:52,760 --> 00:04:58,560
Speaker 1: turned Likan into a wolf man creature. And this is

75
00:04:58,680 --> 00:05:01,720
Speaker 1: where the word like canther he comes from. Uh and

76
00:05:01,800 --> 00:05:06,240
Speaker 1: like anthropy is turning the condition in which you turn

77
00:05:06,320 --> 00:05:09,400
Speaker 1: into a wolf? I guess, yes, that is it? Straight

78
00:05:09,440 --> 00:05:13,480
Speaker 1: from Webster, Yes, yes, straight from web m d Um.

79
00:05:13,880 --> 00:05:18,200
Speaker 1: In Armenian folklore, women who are sinful are cursed to

80
00:05:18,279 --> 00:05:21,520
Speaker 1: spend seven years in wolf form, and they go out

81
00:05:21,560 --> 00:05:27,080
Speaker 1: and eat children okay it could I know, right, Like

82
00:05:27,160 --> 00:05:30,200
Speaker 1: it's like you're cursed, okay to be a wolf? Right

83
00:05:30,560 --> 00:05:33,479
Speaker 1: then nobody knows it's you because you're a wolf and

84
00:05:33,480 --> 00:05:36,200
Speaker 1: then you turn back into a human. Why don't more

85
00:05:36,240 --> 00:05:40,840
Speaker 1: people utilize the chain me up once a once a month?

86
00:05:41,760 --> 00:05:44,400
Speaker 1: You know? I mean that was Did you ever see

87
00:05:44,440 --> 00:05:48,480
Speaker 1: that movie What we Do in the Shadows? Yeah, yeah,

88
00:05:48,600 --> 00:05:50,360
Speaker 1: that's what they would do that I love. I love

89
00:05:50,400 --> 00:05:53,400
Speaker 1: the attention to detail in that renowned film what we

90
00:05:53,440 --> 00:05:56,360
Speaker 1: do with the Shadows where they turns change. But then

91
00:05:56,400 --> 00:05:58,760
Speaker 1: what about the so like there's a group of werewolves

92
00:05:58,800 --> 00:06:01,839
Speaker 1: who change them sells up to prevent themselves from like

93
00:06:02,000 --> 00:06:04,560
Speaker 1: killing people. But what about the last guy? Like how

94
00:06:04,600 --> 00:06:07,280
Speaker 1: does he? You know, how do they do that? Well?

95
00:06:07,279 --> 00:06:10,200
Speaker 1: You change your chain yourself up? Because you can't you

96
00:06:10,240 --> 00:06:12,200
Speaker 1: do you do? Like a day earlier, you know, like

97
00:06:12,240 --> 00:06:14,080
Speaker 1: you're just a dude. You're like, all right, it's time

98
00:06:14,120 --> 00:06:17,080
Speaker 1: to get my Netflix. Yeah, get my you know stack

99
00:06:17,120 --> 00:06:20,200
Speaker 1: of pizzas here next to Mike. Chain yourself up? And

100
00:06:20,480 --> 00:06:22,839
Speaker 1: then Netflix stops and it's like are you still watching?

101
00:06:22,880 --> 00:06:31,560
Speaker 1: And you're like halfway and my plods, no, MYX just

102
00:06:31,680 --> 00:06:37,160
Speaker 1: kicked me off of my Netflix. In Haitian legends, uh,

103
00:06:37,200 --> 00:06:41,800
Speaker 1: their werewolves are actually called the rouges, are similar to

104
00:06:41,920 --> 00:06:45,679
Speaker 1: zombies or vampires, who try to spread their werewolf condition

105
00:06:45,760 --> 00:06:50,760
Speaker 1: to others, either by kidnapping children or possession, and relatedly

106
00:06:50,760 --> 00:06:54,800
Speaker 1: another sort of like uh, I guess I think this

107
00:06:54,839 --> 00:06:57,320
Speaker 1: one also works a little bit like a vampire. So

108
00:06:57,480 --> 00:07:01,320
Speaker 1: in New York, in New Orleans there's the rue grew Um.

109
00:07:01,360 --> 00:07:03,360
Speaker 1: I want to send out a thanks to a very

110
00:07:03,400 --> 00:07:07,320
Speaker 1: young listener named Laney from Memphis who gave me this suggestion.

111
00:07:07,720 --> 00:07:11,240
Speaker 1: Thank you, Laney. She's afraid of the ruguru, but she's

112
00:07:11,280 --> 00:07:13,920
Speaker 1: fascinated by it, which I think is also how I

113
00:07:14,000 --> 00:07:18,120
Speaker 1: got into spiders and creepy animals. It's like, at first

114
00:07:18,120 --> 00:07:19,720
Speaker 1: it's scary, and then you're like, you know what, I'm

115
00:07:19,720 --> 00:07:21,320
Speaker 1: going to buy a whole book on it because I

116
00:07:21,360 --> 00:07:24,360
Speaker 1: want to be scared all the time. You know, this

117
00:07:24,480 --> 00:07:27,400
Speaker 1: thing that could kill me? It's fine now, well it's

118
00:07:27,440 --> 00:07:30,760
Speaker 1: it's empowering. It's like I'm afraid of spider's being in

119
00:07:30,800 --> 00:07:32,280
Speaker 1: my bed, which is a real fear I had as

120
00:07:32,280 --> 00:07:33,680
Speaker 1: a kid. It's like, you know what, I want to

121
00:07:34,120 --> 00:07:36,800
Speaker 1: learn about all the spiders? Give give me all the

122
00:07:36,840 --> 00:07:40,320
Speaker 1: spiders I'm just moved to Echo Park and there are

123
00:07:40,360 --> 00:07:43,040
Speaker 1: a bunch of black widow spiders everywhere. And then the

124
00:07:43,080 --> 00:07:46,720
Speaker 1: first day I moved in, someone showed me a spider.

125
00:07:46,920 --> 00:07:49,240
Speaker 1: You're like, oh, yeah, look, I can find one here,

126
00:07:49,280 --> 00:07:52,239
Speaker 1: and then it took you maybe ten seconds. Black widow.

127
00:07:52,560 --> 00:07:56,880
Speaker 1: Then there's a black widow, Like, Okay, how is everyone living?

128
00:07:57,320 --> 00:08:01,000
Speaker 1: I can't. They can't. They don't typically kill adults. The

129
00:08:01,200 --> 00:08:04,120
Speaker 1: bite just really really sucks. It's not you don't want

130
00:08:04,120 --> 00:08:06,240
Speaker 1: to get bitten by a black widow. You'll probably have

131
00:08:06,240 --> 00:08:08,200
Speaker 1: to go to the hospital because you'll get a big

132
00:08:08,200 --> 00:08:11,800
Speaker 1: old welt. So I won't die. But I have Speaking

133
00:08:11,800 --> 00:08:15,360
Speaker 1: of creatures, I have one. I have a little mini

134
00:08:15,360 --> 00:08:18,800
Speaker 1: poodle mix and uh what about that? What about if

135
00:08:18,800 --> 00:08:21,880
Speaker 1: little cheetah gets I would say that would be an

136
00:08:21,880 --> 00:08:25,320
Speaker 1: emergency trip to the vet. I think they seem a

137
00:08:25,400 --> 00:08:29,480
Speaker 1: lot more menacing than they actually actually are. For yeah,

138
00:08:29,560 --> 00:08:31,600
Speaker 1: they don't. First of all, they don't. They're shy. They

139
00:08:31,680 --> 00:08:35,520
Speaker 1: don't want to tangle with you. The worst. The way

140
00:08:35,559 --> 00:08:37,679
Speaker 1: you get bitten by a black widow is essentially you

141
00:08:37,720 --> 00:08:40,680
Speaker 1: trap it against your skin and then it reacts and

142
00:08:40,720 --> 00:08:42,920
Speaker 1: fear it's not going to like track you down and

143
00:08:43,000 --> 00:08:51,920
Speaker 1: bite you. Okay, that's yeah. So the Ruguru, which is

144
00:08:52,240 --> 00:08:56,680
Speaker 1: uh mythical creature in Cajun folklore, is a kind of

145
00:08:57,200 --> 00:09:01,120
Speaker 1: It's a big man dog wolf creature that and there

146
00:09:01,120 --> 00:09:03,720
Speaker 1: are a few different versions of the Ruguru. One will

147
00:09:03,800 --> 00:09:08,040
Speaker 1: hunt down naughty children, So careful, lady, my, my young listener,

148
00:09:08,120 --> 00:09:10,400
Speaker 1: you better be good or else the ruguru will get you.

149
00:09:10,440 --> 00:09:17,080
Speaker 1: I'm just kidding, It's fine, she seems like. Also, it

150
00:09:17,240 --> 00:09:20,200
Speaker 1: will hunt down Catholics who don't respect the rules of

151
00:09:20,280 --> 00:09:26,960
Speaker 1: lent um. Happened in other legends. The ruguru is a

152
00:09:26,960 --> 00:09:30,199
Speaker 1: blood sucker, and if you've had your blood sucked by ruguru,

153
00:09:30,320 --> 00:09:32,480
Speaker 1: you'll turn into one as well. So that's sort of

154
00:09:32,520 --> 00:09:36,080
Speaker 1: the vampire. It's weird that the Catholics needed to make

155
00:09:36,120 --> 00:09:38,920
Speaker 1: something up because they've got the devil and they've got

156
00:09:38,960 --> 00:09:41,360
Speaker 1: like the wrath of God. I can't really think of,

157
00:09:41,400 --> 00:09:45,240
Speaker 1: like what scared It's like if eternal damnation doesn't scare

158
00:09:45,280 --> 00:09:50,960
Speaker 1: you a dog man, what if he's a big old

159
00:09:51,160 --> 00:09:57,040
Speaker 1: dog man. There have been some theories about like why

160
00:09:57,800 --> 00:10:02,000
Speaker 1: werewolves are so I guess you bbiquitous throughout all human cultures.

161
00:10:02,000 --> 00:10:05,640
Speaker 1: We have werewolves here in America, you know, there's werewolf

162
00:10:05,679 --> 00:10:09,000
Speaker 1: in London, there's the teen Wolf, all sorts of wolves

163
00:10:09,000 --> 00:10:11,840
Speaker 1: everywhere all over the world. I'll tell you why, oh

164
00:10:11,920 --> 00:10:14,360
Speaker 1: go for it already. I'm sorry. You don't even need

165
00:10:14,400 --> 00:10:18,360
Speaker 1: to do the rest of all, right, because they're sexy. Yeah,

166
00:10:18,600 --> 00:10:23,720
Speaker 1: that's true. Who does that? Harry is the most testosterone right, Yeah,

167
00:10:23,800 --> 00:10:27,600
Speaker 1: I mean I I've been wanting like a sexy heartthrob

168
00:10:27,640 --> 00:10:30,600
Speaker 1: werewolf for a while. We keep getting vampires, which to me,

169
00:10:30,640 --> 00:10:33,920
Speaker 1: it's like, oh, give me an anemic looking guy. It's like, no,

170
00:10:34,080 --> 00:10:37,080
Speaker 1: give me a guy who is her suit. Yeah. Well,

171
00:10:37,240 --> 00:10:42,440
Speaker 1: isn't that Twilight team team not Jacob jab Jacob is

172
00:10:42,559 --> 00:10:46,600
Speaker 1: the werewolf bad boy? Yeah? Maybe not the best actor

173
00:10:46,720 --> 00:10:51,000
Speaker 1: for to represent as a whole, right, I mean, look, well,

174
00:10:51,200 --> 00:10:55,040
Speaker 1: you can't generalize werewolves as a wholes No. Also, Michael J. Fox,

175
00:10:55,080 --> 00:10:58,559
Speaker 1: I mean we only know wimpy well Michael J. Fox, Okay,

176
00:10:58,600 --> 00:11:00,160
Speaker 1: I'm going to come to the defense of my called

177
00:11:00,240 --> 00:11:05,680
Speaker 1: Jay Fox, because it's more about like pre transformation. You

178
00:11:05,720 --> 00:11:09,840
Speaker 1: can look like whatever, but it's the fortitude, right, It's

179
00:11:09,960 --> 00:11:12,960
Speaker 1: it's if you're a wolf at heart, that's what matters,

180
00:11:13,000 --> 00:11:15,280
Speaker 1: because like after the transformation, then you're just like a

181
00:11:15,280 --> 00:11:17,400
Speaker 1: big old Harry wolf. It doesn't matter what you look

182
00:11:17,480 --> 00:11:20,400
Speaker 1: like before. You could be the due vious guy, as

183
00:11:20,440 --> 00:11:22,680
Speaker 1: long as you have that intention to kill a bunch

184
00:11:22,720 --> 00:11:25,400
Speaker 1: of innocent people. That's what counts. That's what I always say.

185
00:11:25,559 --> 00:11:29,120
Speaker 1: And the puberty aspect, right right, yeah? Yeah, Well so

186
00:11:29,240 --> 00:11:33,600
Speaker 1: there's some other theories not as good as your own. Um.

187
00:11:33,679 --> 00:11:36,000
Speaker 1: So there is a book called it's I think it's

188
00:11:36,200 --> 00:11:39,640
Speaker 1: more of a like journal. I'm not really sure. It's

189
00:11:39,800 --> 00:11:42,000
Speaker 1: a short book. It's called The Book of were Wolves.

190
00:11:42,040 --> 00:11:46,480
Speaker 1: It's by Sabine Baring Gould. And this was actually written

191
00:11:46,840 --> 00:11:55,920
Speaker 1: back in nineteen oh something. Yeah, it's a it's an

192
00:11:55,920 --> 00:11:59,600
Speaker 1: old book. Uh. And it claims that oh wait, no, no, no,

193
00:12:00,040 --> 00:12:04,719
Speaker 1: here this is a different Sorry I got confused. So

194
00:12:05,000 --> 00:12:08,199
Speaker 1: the Book of Werewolves was actually published a long time ago.

195
00:12:08,320 --> 00:12:12,480
Speaker 1: This was in eighteen sixty five, and it says that

196
00:12:12,760 --> 00:12:16,160
Speaker 1: the werewolf was a way for humans to describe unexplained

197
00:12:16,240 --> 00:12:20,640
Speaker 1: killings or serial killers. So you've got a serial killer

198
00:12:20,760 --> 00:12:24,760
Speaker 1: on your hand. And before, like pretty recently, we didn't

199
00:12:25,240 --> 00:12:28,720
Speaker 1: have this concept of the serial killer. This was before

200
00:12:29,440 --> 00:12:33,400
Speaker 1: true crime podcasts broke through. And you know, this was

201
00:12:33,480 --> 00:12:37,160
Speaker 1: during the Civil War. I'm gonna say, yes, I don't

202
00:12:37,160 --> 00:12:40,319
Speaker 1: know any literally anything about history. I am an alien.

203
00:12:40,640 --> 00:12:47,560
Speaker 1: Worried about someone commenting on the fact everybody's dying sense Yeah, yeah,

204
00:12:47,640 --> 00:12:50,120
Speaker 1: I mean I do. And we've talked about this on

205
00:12:50,160 --> 00:12:53,120
Speaker 1: the show before. But I think that monsters that become

206
00:12:53,200 --> 00:12:57,360
Speaker 1: popular often express the main anxiety of a culture at

207
00:12:57,360 --> 00:13:02,200
Speaker 1: the time. So vampires were super popular back when there

208
00:13:02,280 --> 00:13:05,240
Speaker 1: was like a lot of consumption, which is like tuberculosis,

209
00:13:05,240 --> 00:13:07,480
Speaker 1: where like a disease, they didn't really know what it was.

210
00:13:07,559 --> 00:13:09,560
Speaker 1: They didn't know how to stop at people coughing up

211
00:13:09,600 --> 00:13:12,280
Speaker 1: blood and suddenly looking like anemic and like they were

212
00:13:12,320 --> 00:13:15,480
Speaker 1: being drained of their life force. And vampires were really

213
00:13:15,520 --> 00:13:17,480
Speaker 1: popular because it was like kind of a way to

214
00:13:18,080 --> 00:13:21,000
Speaker 1: I guess, conceptualize the fear, give a shape to the fear.

215
00:13:21,400 --> 00:13:25,040
Speaker 1: The zombie was came about, you know, as we started

216
00:13:25,080 --> 00:13:29,240
Speaker 1: to worry more about pandemics and like we became more interconnected,

217
00:13:29,240 --> 00:13:31,600
Speaker 1: and then all of these things about like stars and

218
00:13:31,880 --> 00:13:35,760
Speaker 1: these pandemic fear came into view. And my guess would

219
00:13:35,760 --> 00:13:39,000
Speaker 1: be that now we're going to have monsters that have

220
00:13:39,160 --> 00:13:43,520
Speaker 1: something to do with climate change. Although if you look

221
00:13:43,559 --> 00:13:46,200
Speaker 1: at like the horror movies now it could also have

222
00:13:46,280 --> 00:13:48,480
Speaker 1: to do with wealth and equality, like I think parasite,

223
00:13:48,520 --> 00:13:52,280
Speaker 1: you know, and get out and these these other movies,

224
00:13:52,320 --> 00:13:56,920
Speaker 1: like horror movies are becoming a way to express I guess,

225
00:13:57,559 --> 00:14:02,680
Speaker 1: cultural problems and fear years and anxieties and and I

226
00:14:02,720 --> 00:14:04,200
Speaker 1: think it's but I think it's always been that way.

227
00:14:04,200 --> 00:14:09,040
Speaker 1: I think horror has always been an expression of societal

228
00:14:09,120 --> 00:14:12,280
Speaker 1: fears everyone. It was just so simple, just someone running

229
00:14:12,280 --> 00:14:15,800
Speaker 1: out of the woods and grabbing you. A beautiful time.

230
00:14:15,920 --> 00:14:18,760
Speaker 1: That was a good time, just when the metaphor didn't

231
00:14:18,760 --> 00:14:21,760
Speaker 1: go beyond like I don't know a wolfman that feat

232
00:14:21,800 --> 00:14:24,560
Speaker 1: your face? Yeah, the ba guy has to be like

233
00:14:24,680 --> 00:14:29,680
Speaker 1: riding a comment. Well, so in terms of this theory,

234
00:14:29,840 --> 00:14:32,280
Speaker 1: that it is that the werewolf is used to explain

235
00:14:32,440 --> 00:14:36,320
Speaker 1: serial killers. Okay, so Laney, my young listener, maybe you

236
00:14:36,320 --> 00:14:38,800
Speaker 1: shouldn't listen to this party or have your dad listened

237
00:14:38,800 --> 00:14:41,880
Speaker 1: first and just tell you about it. But I wanted

238
00:14:41,880 --> 00:14:48,000
Speaker 1: to exactly exactly. I've had to change the whole show

239
00:14:48,120 --> 00:14:51,680
Speaker 1: so many can listen to it. So there was a

240
00:14:51,720 --> 00:14:55,760
Speaker 1: man named Peter Stump who was a German farmer who

241
00:14:55,760 --> 00:14:58,960
Speaker 1: lived in the late fifteen hundreds, who was also known

242
00:14:59,040 --> 00:15:02,440
Speaker 1: as the werewolf of bed Berg, and he was a

243
00:15:02,520 --> 00:15:06,200
Speaker 1: serial killer who confessed confessed to killing and eating people,

244
00:15:06,400 --> 00:15:10,560
Speaker 1: including their hearts. He also claimed to use a magical

245
00:15:10,600 --> 00:15:13,800
Speaker 1: belt to transform into a wolf, but the belt was

246
00:15:13,840 --> 00:15:17,640
Speaker 1: never actually found. He was probably just a liar and

247
00:15:17,760 --> 00:15:24,080
Speaker 1: a murderer, but people were really it's a magical girdle

248
00:15:24,240 --> 00:15:26,560
Speaker 1: that turns me into a wolf. And you see, that

249
00:15:26,720 --> 00:15:33,080
Speaker 1: is why I ate all those women's hearts. It's again again,

250
00:15:33,320 --> 00:15:38,040
Speaker 1: he's a liar and a murderer. And but unlike today

251
00:15:38,040 --> 00:15:40,640
Speaker 1: where people will be like uh huh yeah, like back

252
00:15:40,640 --> 00:15:44,280
Speaker 1: then they're like, oh a belt, you'll say we are

253
00:15:44,360 --> 00:15:48,840
Speaker 1: in fifteen hundreds Germany in a week, no more belts.

254
00:15:49,320 --> 00:15:52,080
Speaker 1: There's also something known and this is just I don't

255
00:15:52,080 --> 00:15:56,360
Speaker 1: want to make the connection between this and crazy cannibalistic murdering,

256
00:15:56,680 --> 00:16:00,000
Speaker 1: but this is as were wolves are used to explore

257
00:16:00,040 --> 00:16:04,000
Speaker 1: lane serial killers. It's also when you get into the

258
00:16:04,040 --> 00:16:10,720
Speaker 1: realm of psychology. If you are suffering from a psychological illness,

259
00:16:10,760 --> 00:16:14,760
Speaker 1: sometimes cultural fears will be reflected in the mental illness

260
00:16:14,760 --> 00:16:17,840
Speaker 1: that you have, so clinical like caanthropy is a form

261
00:16:17,880 --> 00:16:21,560
Speaker 1: of psychosis that involves being in an altered state of

262
00:16:21,600 --> 00:16:26,120
Speaker 1: mind where you believe you transform into typically a wolf,

263
00:16:26,240 --> 00:16:31,160
Speaker 1: but it can be other animals and it's a not like, um,

264
00:16:31,200 --> 00:16:33,920
Speaker 1: you know, this isn't like putting furries on blast here,

265
00:16:34,000 --> 00:16:36,720
Speaker 1: this is not about this isn't like about a fun

266
00:16:36,840 --> 00:16:42,000
Speaker 1: kind of thing that you do putting furries on blast. No, no,

267
00:16:42,120 --> 00:16:45,080
Speaker 1: furries are great, But now this is it's more that

268
00:16:45,320 --> 00:16:51,960
Speaker 1: it's like a distressing delusion that you turn into other animals. Um.

269
00:16:52,240 --> 00:16:56,280
Speaker 1: And uh, there was like and sometimes it's not wolves.

270
00:16:56,360 --> 00:16:59,280
Speaker 1: Like there was a case in which someone thought that

271
00:16:59,320 --> 00:17:02,160
Speaker 1: they would go through through a series of transformations into

272
00:17:02,200 --> 00:17:06,920
Speaker 1: animals before being finally able to return to their human form.

273
00:17:06,960 --> 00:17:10,600
Speaker 1: This is kind of related to we've talked about Cotard delusion,

274
00:17:10,600 --> 00:17:13,640
Speaker 1: which is the delusion that you don't exist, like either

275
00:17:13,720 --> 00:17:17,119
Speaker 1: your body is a corpse or you just aren't physically there.

276
00:17:17,280 --> 00:17:20,840
Speaker 1: And it's it's a interesting thing. Where are you know,

277
00:17:20,920 --> 00:17:24,080
Speaker 1: in our in our brains, we have neural networks that

278
00:17:24,280 --> 00:17:26,879
Speaker 1: basically tell us like you exist and your body is

279
00:17:26,920 --> 00:17:32,719
Speaker 1: corporeal and like that there's reminding me. But for some

280
00:17:32,760 --> 00:17:34,840
Speaker 1: people that gets like a little bit messed up, and

281
00:17:34,840 --> 00:17:38,120
Speaker 1: then you're like okay with the Cotard delusion, it's like okay,

282
00:17:38,160 --> 00:17:40,960
Speaker 1: I don't exist or my body is decaying. With clinical

283
00:17:41,040 --> 00:17:45,120
Speaker 1: like canthropy, it's this, I guess, almost like a dissociation

284
00:17:45,119 --> 00:17:48,879
Speaker 1: where you think your body is transforming into these animals.

285
00:17:49,080 --> 00:17:51,560
Speaker 1: And I think it is informed by what you learn

286
00:17:51,640 --> 00:17:53,680
Speaker 1: from your culture. So if werewolves are a big thing

287
00:17:53,680 --> 00:17:56,280
Speaker 1: in your culture, you may think I'm a werewolf and

288
00:17:56,400 --> 00:18:00,280
Speaker 1: have these these delusions that are quite distressing that you

289
00:18:00,320 --> 00:18:11,640
Speaker 1: are you actually transform into these wolves. Okay yeah, Um,

290
00:18:11,680 --> 00:18:13,560
Speaker 1: so does that mean that you think that that that

291
00:18:13,720 --> 00:18:18,800
Speaker 1: liar from before maybe he wasn't lying. Well, so yeah,

292
00:18:18,800 --> 00:18:22,639
Speaker 1: I don't know, because nobody that's true. I mean, it

293
00:18:22,720 --> 00:18:25,640
Speaker 1: was in the hundreds, so it's like I'm going off

294
00:18:25,720 --> 00:18:31,080
Speaker 1: of basically Zulch direct evidence. But yeah, I mean I

295
00:18:31,119 --> 00:18:34,840
Speaker 1: think it's definitely possible for I don't think. I want

296
00:18:34,880 --> 00:18:37,760
Speaker 1: to make it very clear that clinical like caanthropy is

297
00:18:37,840 --> 00:18:41,280
Speaker 1: not associated with people being violent or anything like that,

298
00:18:41,640 --> 00:18:44,480
Speaker 1: but it is possible that he had something like that

299
00:18:44,600 --> 00:18:48,479
Speaker 1: in addition to his bath salts that he was right

300
00:18:49,760 --> 00:18:54,520
Speaker 1: hundreds bath salts. It's just dirt, people, Um, I just

301
00:18:54,600 --> 00:18:58,000
Speaker 1: took a bath, That's why you're freaking out. And there's

302
00:18:58,000 --> 00:19:01,920
Speaker 1: another theory about why where will legends are so widespread

303
00:19:01,960 --> 00:19:06,800
Speaker 1: over every culture. Uh and also used to explain serial

304
00:19:06,920 --> 00:19:11,359
Speaker 1: killers or danger. And this was in a short book

305
00:19:11,480 --> 00:19:15,960
Speaker 1: called The Origin of the Werewolf Superstition written in nineteen

306
00:19:16,000 --> 00:19:20,880
Speaker 1: o nine by Caroline Taylor Stewart, and she argues that

307
00:19:21,000 --> 00:19:25,560
Speaker 1: early humans would skin wolves and wear their skins, which

308
00:19:25,800 --> 00:19:29,520
Speaker 1: was like sort of a form of camouflage, and you

309
00:19:29,520 --> 00:19:33,440
Speaker 1: would go and hunt wolves. And she also contended that

310
00:19:34,119 --> 00:19:38,160
Speaker 1: people would also wear these wolf skins to I guess

311
00:19:38,200 --> 00:19:40,280
Speaker 1: mess with other groups of people, Like it could be

312
00:19:40,320 --> 00:19:43,040
Speaker 1: a way to get close to like a rival group

313
00:19:43,160 --> 00:19:46,159
Speaker 1: without them realizing your people until you're close up and

314
00:19:46,160 --> 00:19:48,520
Speaker 1: then suddenly it's not a wolf. It's like a man

315
00:19:48,600 --> 00:19:52,320
Speaker 1: in wolves clothing. Uh. And I mean this book was

316
00:19:52,359 --> 00:19:56,880
Speaker 1: written in nineteen o nine, not not to disparage nine,

317
00:19:56,960 --> 00:20:01,000
Speaker 1: but again it's I don't know that there's like a

318
00:20:01,040 --> 00:20:04,080
Speaker 1: lot of really hard evidence for these theories, yet they're

319
00:20:04,160 --> 00:20:08,760
Speaker 1: just Um, there could be a deep seated fear of

320
00:20:08,960 --> 00:20:13,280
Speaker 1: a human disguised as a wolf or I guess any

321
00:20:13,359 --> 00:20:16,520
Speaker 1: animal that means to do you harm, because maybe like

322
00:20:16,800 --> 00:20:21,040
Speaker 1: in early humans, that would be the case like that, uh,

323
00:20:21,080 --> 00:20:24,840
Speaker 1: And I think that could be true. Like again, this

324
00:20:24,920 --> 00:20:26,879
Speaker 1: was a this is an old book. We had a

325
00:20:26,880 --> 00:20:34,080
Speaker 1: lot of goofy ideas back in that really just like

326
00:20:34,600 --> 00:20:36,720
Speaker 1: or like when you look at the there are these

327
00:20:36,760 --> 00:20:39,920
Speaker 1: pictures of these dogs that have quote unquote human faces

328
00:20:40,000 --> 00:20:42,679
Speaker 1: because they're they're I guess the proportions of their faces

329
00:20:42,680 --> 00:20:46,040
Speaker 1: are just a little bit human like. And it's really

330
00:20:46,119 --> 00:20:48,200
Speaker 1: it's it's very like if you google it, you can

331
00:20:48,240 --> 00:20:51,560
Speaker 1: find like human face dogs. Its basically. What is so

332
00:20:51,600 --> 00:20:53,560
Speaker 1: funny to me about that whole thing is like every

333
00:20:53,560 --> 00:20:55,200
Speaker 1: one of these dogs is like, oh, it's a dog

334
00:20:55,240 --> 00:20:58,240
Speaker 1: with a human face. It's a dog that just looks

335
00:20:58,240 --> 00:21:00,840
Speaker 1: like it's got a secret, Like and you know that

336
00:21:00,920 --> 00:21:03,960
Speaker 1: dogs like pooped in somebody's shoe, and it's like, I

337
00:21:04,000 --> 00:21:07,560
Speaker 1: got a secret. I have a friend that has a

338
00:21:07,600 --> 00:21:09,840
Speaker 1: dog with a very human face, and it definitely has

339
00:21:09,880 --> 00:21:15,320
Speaker 1: a secret, and it also has a disturbingly large and

340
00:21:15,400 --> 00:21:18,320
Speaker 1: so it's it's very distracting. You barely noticed the face.

341
00:21:18,640 --> 00:21:21,480
Speaker 1: Well that's I mean, that's I think, like you pan

342
00:21:21,640 --> 00:21:24,000
Speaker 1: up from from the bottom of the dog to its face,

343
00:21:24,040 --> 00:21:27,000
Speaker 1: and that's that's that's that's where the smugness is coming from.

344
00:21:27,400 --> 00:21:29,720
Speaker 1: He doesn't have a secret, he's just let it out.

345
00:21:29,720 --> 00:21:38,040
Speaker 1: He knows rocking out with my young listeners. That's getting

346
00:21:38,080 --> 00:21:45,840
Speaker 1: completely ducked duck bleeped out. The fear of wolves inspire

347
00:21:45,960 --> 00:21:48,960
Speaker 1: makes a good amount of sense, but as humans living

348
00:21:49,000 --> 00:21:52,359
Speaker 1: in modern society, we have little to fear from wolves

349
00:21:52,400 --> 00:21:55,639
Speaker 1: as long as you're not Liam Neeson. In North America,

350
00:21:55,720 --> 00:21:58,560
Speaker 1: in the past century, there have only been six people

351
00:21:58,680 --> 00:22:03,560
Speaker 1: killed by healthy while wolves, and including captive or rabid wolves,

352
00:22:03,600 --> 00:22:06,879
Speaker 1: that brings the total only up to eleven. So while

353
00:22:06,960 --> 00:22:10,440
Speaker 1: if fear of wolves doesn't make much sense for modern humans,

354
00:22:10,480 --> 00:22:14,080
Speaker 1: it's something that comes in handy when managing dear populations.

355
00:22:14,600 --> 00:22:17,640
Speaker 1: Because humans have pushed wolves out of their habitat, their

356
00:22:17,720 --> 00:22:21,000
Speaker 1: numbers have declined. In North America. This has led to

357
00:22:21,240 --> 00:22:26,480
Speaker 1: unhealthy booms and dear populations, causing disease, starvation, and damage

358
00:22:26,520 --> 00:22:29,920
Speaker 1: to the ecosystem where vegetation has no chance to regrow.

359
00:22:30,480 --> 00:22:34,399
Speaker 1: There have been programs repopulating wolves in North America, and

360
00:22:34,480 --> 00:22:37,320
Speaker 1: researchers have found that not only do wolves help control

361
00:22:37,359 --> 00:22:40,439
Speaker 1: the dear population through those sort of obvious method of

362
00:22:40,520 --> 00:22:43,399
Speaker 1: eating them, it turns out that a deer's fear of

363
00:22:43,480 --> 00:22:46,840
Speaker 1: wolves is very eco friendly. When a deer of voids

364
00:22:46,880 --> 00:22:50,199
Speaker 1: areas where they know wolves are lurking, those areas are

365
00:22:50,240 --> 00:22:54,119
Speaker 1: spared from their dear appetites, allowing new growth of vegetation

366
00:22:54,200 --> 00:22:58,240
Speaker 1: to occur. So, in a way, wolves are gardeners, adorable

367
00:22:58,320 --> 00:23:02,240
Speaker 1: murder gardeners. When return, we'll talk more about real life

368
00:23:02,240 --> 00:23:06,040
Speaker 1: wolf facts, including dire wolves. Calm down, John Snow, Our

369
00:23:06,040 --> 00:23:08,680
Speaker 1: budget definitely doesn't allow you to keep your c g

370
00:23:08,840 --> 00:23:21,359
Speaker 1: I PET. Working out is hard. It's always been hard.

371
00:23:21,560 --> 00:23:25,280
Speaker 1: Even when it's easy, it's still pretty hard. Bombas socks

372
00:23:25,440 --> 00:23:28,600
Speaker 1: can't change that, but they can make it more comfortable.

373
00:23:29,080 --> 00:23:31,680
Speaker 1: So if your resolution is to get fit this year,

374
00:23:32,080 --> 00:23:35,160
Speaker 1: start by getting socks that can keep up every step

375
00:23:35,160 --> 00:23:38,000
Speaker 1: of the way. You know, when I'm working out, one

376
00:23:38,040 --> 00:23:41,760
Speaker 1: of my biggest complaints about socks is that little scene

377
00:23:41,840 --> 00:23:44,160
Speaker 1: on the toe that digs into my toe and suddenly

378
00:23:44,200 --> 00:23:47,919
Speaker 1: I'm doubled over in pain as my toe is on fire.

379
00:23:48,400 --> 00:23:51,480
Speaker 1: But Bombas actually has worked out how to make their

380
00:23:51,480 --> 00:23:54,800
Speaker 1: socks without that super annoying scene that digs into your toe,

381
00:23:55,160 --> 00:23:58,160
Speaker 1: which means I can keep on going on my stationary

382
00:23:58,240 --> 00:24:01,679
Speaker 1: bike and not have to lean over, fall off the

383
00:24:01,720 --> 00:24:05,639
Speaker 1: bike and embarrass myself in front of everybody at the gym,

384
00:24:05,680 --> 00:24:09,000
Speaker 1: whether you're into sports or planning to get into sports,

385
00:24:09,160 --> 00:24:11,960
Speaker 1: or not into sports but into sort of just like

386
00:24:12,359 --> 00:24:16,040
Speaker 1: jogging around in a field and and dancing like you're

387
00:24:16,080 --> 00:24:19,639
Speaker 1: in the sound of music amongst a bunch of flowers.

388
00:24:20,000 --> 00:24:23,919
Speaker 1: Bombas can help with performance socks and styles made specially

389
00:24:23,960 --> 00:24:28,199
Speaker 1: for basketball, tennis, running golf, and probably running around in

390
00:24:28,240 --> 00:24:32,400
Speaker 1: a field of flowers. They're made with a lightweight polycotton blend,

391
00:24:32,760 --> 00:24:35,560
Speaker 1: which means no matter how hard you're working, your feet

392
00:24:35,600 --> 00:24:40,200
Speaker 1: will stay cool, dry and comfortable, never sweaty, which for me,

393
00:24:40,800 --> 00:24:44,120
Speaker 1: maybe the worst feeling is when your footage in your

394
00:24:44,119 --> 00:24:46,479
Speaker 1: shoe and your shoe turns into a pool of your

395
00:24:46,520 --> 00:24:51,280
Speaker 1: own sweat. Don't like that much. Bonda socks provide support

396
00:24:51,359 --> 00:24:54,800
Speaker 1: in places you didn't even know you needed, like your arches.

397
00:24:55,280 --> 00:24:58,400
Speaker 1: Each sock is built with a special arch support system

398
00:24:58,440 --> 00:25:01,560
Speaker 1: that's supportive but not too like a nice hug, but

399
00:25:01,680 --> 00:25:04,080
Speaker 1: on your foot a foot hug. If you want to

400
00:25:04,119 --> 00:25:06,840
Speaker 1: feel like your feet are being hugged by a couple

401
00:25:06,840 --> 00:25:11,040
Speaker 1: of koala's, I would definitely recommend bombas. I mean, it's

402
00:25:11,080 --> 00:25:14,639
Speaker 1: not exactly the same as a koala hug because Koalas

403
00:25:14,640 --> 00:25:17,600
Speaker 1: are very farty and smell very bad. And actually Bomba

404
00:25:17,720 --> 00:25:21,000
Speaker 1: socks make my feet not smell bad. So sorry to say,

405
00:25:21,040 --> 00:25:24,600
Speaker 1: it's not exactly the same as the Koala experience, but

406
00:25:24,720 --> 00:25:27,040
Speaker 1: it's pretty close. So if you want to give your

407
00:25:27,040 --> 00:25:30,640
Speaker 1: creature feet a treat, go to Bombas dot com slash

408
00:25:30,720 --> 00:25:34,720
Speaker 1: Creature today and get twenty percent off your first purchase.

409
00:25:35,119 --> 00:25:39,520
Speaker 1: That's b O M B A s dot com slash

410
00:25:39,600 --> 00:25:44,560
Speaker 1: Creature for twenty percent off Bombas dot Com slash Creature.

411
00:25:50,440 --> 00:25:53,760
Speaker 1: I'm gonna take you on a trip to Imagination Station.

412
00:25:54,800 --> 00:25:57,760
Speaker 1: Imagine you've moved to l A to make it big.

413
00:25:57,960 --> 00:26:02,320
Speaker 1: Oh around twenty years ago. You see, you're a mastodon

414
00:26:02,440 --> 00:26:05,359
Speaker 1: with a dream to become the first ever mastodon to

415
00:26:05,400 --> 00:26:08,040
Speaker 1: get a star on the Hollywood Walk of Fame, which

416
00:26:08,320 --> 00:26:10,560
Speaker 1: back then was made out of logs and twigs and

417
00:26:10,600 --> 00:26:14,400
Speaker 1: stones and stuff. You're practicing your monologue for The Godfather

418
00:26:14,480 --> 00:26:18,480
Speaker 1: where you play Massa don Corleone. It's a corleon. How

419
00:26:18,480 --> 00:26:22,600
Speaker 1: do you cor Leona? Okay, yeah, you can tell him

420
00:26:22,600 --> 00:26:30,720
Speaker 1: a cultured individual malony Corleoni. You're practicing your monologue for

421
00:26:30,760 --> 00:26:35,000
Speaker 1: the Godfather where you play Massa don Corleone, when suddenly

422
00:26:35,119 --> 00:26:38,879
Speaker 1: you feel a weird stickiness under your foot. While you

423
00:26:38,960 --> 00:26:42,480
Speaker 1: were studiously rehearsing your lines, you didn't notice where you

424
00:26:42,520 --> 00:26:45,000
Speaker 1: were going, and your feet are standing in a puddle

425
00:26:45,040 --> 00:26:49,520
Speaker 1: of strange, black tar like substance. You struggle to get out,

426
00:26:49,560 --> 00:26:52,159
Speaker 1: but every step you take seems to pull you in

427
00:26:52,320 --> 00:26:56,160
Speaker 1: deeper into this stigy and tar pit. I hate place

428
00:26:56,240 --> 00:26:59,520
Speaker 1: to see. Earra Monday's you trumpet and mast did on language.

429
00:26:59,560 --> 00:27:02,439
Speaker 1: But as soon as your words leave your trunk, you

430
00:27:02,560 --> 00:27:06,240
Speaker 1: realize your problems are even greater than slowly sinking into

431
00:27:06,280 --> 00:27:10,400
Speaker 1: the pit. You realize you're surrounded by dozens of pairs

432
00:27:10,440 --> 00:27:15,200
Speaker 1: of bright yellow eyes and the soft sound of excited growling.

433
00:27:15,880 --> 00:27:19,439
Speaker 1: Twenty thousand years later, paleontologists drag up a group of

434
00:27:19,480 --> 00:27:22,720
Speaker 1: fossils from the LaBrea tar pits, finding not only parts

435
00:27:22,720 --> 00:27:28,120
Speaker 1: of the mastodon skeleton, but dozens of dire wolf skulls. So, Nick,

436
00:27:28,400 --> 00:27:31,399
Speaker 1: you're you're You're from l A. You live in l A.

437
00:27:31,800 --> 00:27:35,080
Speaker 1: I have been to Lebrea tar pits a number of times.

438
00:27:35,160 --> 00:27:38,720
Speaker 1: I've also paid the money. Baby, I have a picture.

439
00:27:38,760 --> 00:27:41,239
Speaker 1: I'm very proud of me standing in front of all

440
00:27:41,280 --> 00:27:46,920
Speaker 1: those dire wolves called a beautiful walls. It's up, Yeah,

441
00:27:47,040 --> 00:27:50,320
Speaker 1: it's a big old wall of wolf skulls. It's it's

442
00:27:50,400 --> 00:27:54,639
Speaker 1: really awesome. Highly recommend. Yeah. Yeah, so, as you know,

443
00:27:54,840 --> 00:27:57,199
Speaker 1: we have a bunch of these dire wolf skulls. Dar

444
00:27:57,280 --> 00:28:01,120
Speaker 1: Wolves used to roam around the l a area and

445
00:28:01,600 --> 00:28:09,480
Speaker 1: sitting atop it's like a prequel to Godfather. But but

446
00:28:10,960 --> 00:28:13,919
Speaker 1: his name is Corleone and it's before before he became

447
00:28:13,960 --> 00:28:18,119
Speaker 1: the Dawn. Yeah. So dire wolves lived from about a

448
00:28:18,200 --> 00:28:21,040
Speaker 1: hundred and twenty five thousand years ago and when extinct

449
00:28:21,119 --> 00:28:24,639
Speaker 1: around nine thousand, five hundred years ago. Uh, just about

450
00:28:24,680 --> 00:28:28,879
Speaker 1: when humans appeared in North America. So they were round

451
00:28:29,080 --> 00:28:31,800
Speaker 1: at the same time as humans, but not for long

452
00:28:33,840 --> 00:28:37,119
Speaker 1: he did. They hunted much of the mega fauna that

453
00:28:37,280 --> 00:28:41,200
Speaker 1: roamed North America. So that included the large ground sloths

454
00:28:41,280 --> 00:28:45,680
Speaker 1: that used to be around Mastodon's bison, and an extinct

455
00:28:45,720 --> 00:28:49,000
Speaker 1: species of horse that was native to North America. So

456
00:28:49,160 --> 00:28:52,040
Speaker 1: to be clear, the horses that we have now are

457
00:28:52,040 --> 00:28:55,120
Speaker 1: actually not the native species of horses that used to

458
00:28:55,160 --> 00:29:00,000
Speaker 1: live here. The current modern day horses are domesticated iberia

459
00:29:00,040 --> 00:29:03,840
Speaker 1: In horses which were brought by Spanish invaders. Uh you know,

460
00:29:04,040 --> 00:29:08,920
Speaker 1: back in our twisted, twisted little history. So dire wolves

461
00:29:08,960 --> 00:29:13,200
Speaker 1: were actually they were more powerful than today's wolves, but

462
00:29:13,240 --> 00:29:17,520
Speaker 1: they weren't giant compared to them. So the biggest wolves

463
00:29:17,560 --> 00:29:21,480
Speaker 1: today are the Northwestern wolf also known as the Mackenzy

464
00:29:21,560 --> 00:29:25,280
Speaker 1: Valley wolf. The average male weighs around a hundred and

465
00:29:25,320 --> 00:29:29,520
Speaker 1: thirty pounds, whereas the dire wolf on average weight around

466
00:29:29,600 --> 00:29:32,040
Speaker 1: a hundred and fifty pounds. So they're a little little

467
00:29:32,080 --> 00:29:38,640
Speaker 1: chunk here heavy as me ver No put in a

468
00:29:38,680 --> 00:29:41,000
Speaker 1: puzzle way, you could take on a dire walk. Yes,

469
00:29:41,280 --> 00:29:48,640
Speaker 1: I could take on two baby three. So they also

470
00:29:48,760 --> 00:29:52,040
Speaker 1: had fearsome jaws with a bite force greater than any

471
00:29:52,120 --> 00:29:56,000
Speaker 1: living species of wolves. So they were they were bidy

472
00:29:56,080 --> 00:29:59,440
Speaker 1: boys and girls. So yeah, like we were saying, you

473
00:29:59,520 --> 00:30:01,960
Speaker 1: can visit a dar wolf if you live in l A.

474
00:30:02,000 --> 00:30:06,000
Speaker 1: I mean it's bones, I guess, not not alive. Yeah, yeah,

475
00:30:06,000 --> 00:30:08,760
Speaker 1: they're body but what else? What were there other options?

476
00:30:09,080 --> 00:30:12,400
Speaker 1: You know, using their well developed paws too, well they

477
00:30:12,440 --> 00:30:17,520
Speaker 1: would actually so, so they're hunting techniques typically were probably

478
00:30:17,560 --> 00:30:21,520
Speaker 1: packed structures like wolves are today. And I know it's

479
00:30:21,640 --> 00:30:23,440
Speaker 1: tempting to think of them as like the Game of

480
00:30:23,480 --> 00:30:26,400
Speaker 1: Thrones wolves that made these majestic leaps and like tore

481
00:30:26,400 --> 00:30:31,360
Speaker 1: off someone's face, but they would actually leap at the

482
00:30:31,360 --> 00:30:34,560
Speaker 1: prey item's feet and legs and drag them and pull

483
00:30:34,600 --> 00:30:37,080
Speaker 1: them sort of like a like dirty fighting where they

484
00:30:37,080 --> 00:30:39,479
Speaker 1: would like trip them, and then once you're on the ground,

485
00:30:39,960 --> 00:30:45,320
Speaker 1: that's when the pack descends upon you. So they're they're sneaky. Yeah, yeah,

486
00:30:45,360 --> 00:30:47,719
Speaker 1: I like that. That's smart. That's like the what are

487
00:30:47,720 --> 00:30:54,920
Speaker 1: the little the little veloci raptors in uh the ones,

488
00:30:55,160 --> 00:30:58,880
Speaker 1: uh a little bird like veloscar raptors. Yeah, they get

489
00:30:58,920 --> 00:31:03,240
Speaker 1: thee yeah, yeah, yeah, yeah, yeah, yeah, I mean velociraptors, Yeah,

490
00:31:03,240 --> 00:31:06,600
Speaker 1: are very much respect to the technique. Yeah, I mean

491
00:31:06,800 --> 00:31:09,520
Speaker 1: if you think about like you think about like back

492
00:31:09,880 --> 00:31:13,000
Speaker 1: before I mean this was dinosaurs were not around at

493
00:31:13,040 --> 00:31:15,600
Speaker 1: the same time as dar wolves, but back before mammals

494
00:31:15,680 --> 00:31:19,720
Speaker 1: rose to prominence, you would have very similar kinds of animals,

495
00:31:19,760 --> 00:31:23,760
Speaker 1: So velociraptors, you know, may and in these other I also,

496
00:31:23,840 --> 00:31:26,120
Speaker 1: I'm not great on dinosaurs, so I also don't remember

497
00:31:26,160 --> 00:31:28,360
Speaker 1: the names of the little tiny ones, but yeah, they

498
00:31:28,600 --> 00:31:32,280
Speaker 1: probably hunted as packs as well, and probably employed similar

499
00:31:32,320 --> 00:31:35,360
Speaker 1: tactics some of the species. There's actually someone who is

500
00:31:35,440 --> 00:31:39,680
Speaker 1: trying to resurrect the dire wolf and uh This is

501
00:31:39,680 --> 00:31:42,280
Speaker 1: not Jurassic Park stuff. Like they're not taking a dire

502
00:31:42,320 --> 00:31:45,160
Speaker 1: wolf skull finding like a little scrap of DNA meat

503
00:31:45,200 --> 00:31:49,080
Speaker 1: on it, and they should, but they they're not. They

504
00:31:49,120 --> 00:31:53,080
Speaker 1: do love that stuff, but they're actually this is a

505
00:31:53,200 --> 00:31:55,640
Speaker 1: dog breeding project, and I want to preface it with

506
00:31:55,760 --> 00:32:02,080
Speaker 1: I often kind of take issue with dog breeding because

507
00:32:02,160 --> 00:32:05,160
Speaker 1: I think that, well, first of all, there's obviously sort

508
00:32:05,160 --> 00:32:08,280
Speaker 1: of the irresponsible breeding where it's like puppy mills are

509
00:32:08,320 --> 00:32:11,880
Speaker 1: just like you know, bad breeders who create really unhealthy

510
00:32:11,960 --> 00:32:15,840
Speaker 1: dogs and really cruel conditions. But beyond that, even in

511
00:32:15,960 --> 00:32:19,760
Speaker 1: sort of the responsible breeding world, I would say that

512
00:32:20,240 --> 00:32:25,560
Speaker 1: breeding dogs based on superficial aesthetics kind of creates a

513
00:32:26,040 --> 00:32:33,480
Speaker 1: It ignores factors like behavioral health and physical health, and

514
00:32:33,520 --> 00:32:37,480
Speaker 1: so you get dogs that either have physical health problems

515
00:32:37,560 --> 00:32:40,240
Speaker 1: or they can also have mental health problems, and that's

516
00:32:40,360 --> 00:32:44,360
Speaker 1: from essentially in breeding them, or even if you're not

517
00:32:44,440 --> 00:32:48,560
Speaker 1: in breeding them, you are breeding them based on this

518
00:32:49,160 --> 00:32:53,440
Speaker 1: superficial quality of aesthetics, and that can have a bad

519
00:32:53,480 --> 00:32:58,800
Speaker 1: effect on their health. But this project, I'm still not

520
00:32:58,960 --> 00:33:01,880
Speaker 1: completely convinced this is a good idea. But of these

521
00:33:01,920 --> 00:33:04,960
Speaker 1: sort of like projects that I've read this is not not.

522
00:33:05,480 --> 00:33:08,120
Speaker 1: This seems like if if you want to do this,

523
00:33:08,120 --> 00:33:13,720
Speaker 1: this is the way to go about it. I'm still

524
00:33:13,800 --> 00:33:17,040
Speaker 1: gonna make some people mad, and I apologize. I'm like

525
00:33:17,120 --> 00:33:21,040
Speaker 1: already out here being like I have to say it's evil,

526
00:33:21,120 --> 00:33:25,760
Speaker 1: but okay, Well, So the Dire Wolf Project was started

527
00:33:25,760 --> 00:33:29,640
Speaker 1: in eight by Louis Schwartz, and she said she was

528
00:33:29,720 --> 00:33:33,200
Speaker 1: motivated by the fact that people were interested in wolf dogs.

529
00:33:33,240 --> 00:33:37,360
Speaker 1: And this was like, probably especially after that movie Balto

530
00:33:37,520 --> 00:33:40,720
Speaker 1: came out, like people wanted dogs who were like a

531
00:33:40,800 --> 00:33:43,560
Speaker 1: wolf dog because it's rare to have a wolf. We're

532
00:33:43,560 --> 00:33:45,880
Speaker 1: gonna go on adventures in the mountains exactly, And I

533
00:33:45,920 --> 00:33:49,720
Speaker 1: mean like Game of Thrones probably reinspired, reinvigorated that want

534
00:33:49,720 --> 00:33:51,320
Speaker 1: for her, Like I want a wolf as a pet.

535
00:33:51,760 --> 00:33:53,880
Speaker 1: I'm gonna say it. I'm going to say it all

536
00:33:53,920 --> 00:33:57,560
Speaker 1: the time. Exotic animals are not pets. They've never made

537
00:33:57,560 --> 00:34:00,239
Speaker 1: good pets. Wolves are not pets. They are they are

538
00:34:00,440 --> 00:34:03,640
Speaker 1: terrible pets. Nobody's going to be happy in that situation.

539
00:34:03,960 --> 00:34:07,160
Speaker 1: You can't breed a dog with wolf, have that that

540
00:34:07,280 --> 00:34:09,239
Speaker 1: hybrid and be like, oh, this is essentially going to

541
00:34:09,320 --> 00:34:11,880
Speaker 1: be a dog. Nope, it is not. It is not

542
00:34:12,000 --> 00:34:18,880
Speaker 1: a good idea. No could I mean, well yeah, I

543
00:34:18,880 --> 00:34:21,960
Speaker 1: mean all of the above could happen. Yeah, all of

544
00:34:21,960 --> 00:34:25,920
Speaker 1: the above could happen. And it's just they wolves are

545
00:34:26,040 --> 00:34:27,920
Speaker 1: and we'll talk about this a little later. That wolves

546
00:34:27,960 --> 00:34:31,640
Speaker 1: are not just dogs that are untamed. That's not not true.

547
00:34:32,000 --> 00:34:35,920
Speaker 1: And so people want these wolf dogs, but they are

548
00:34:35,960 --> 00:34:39,600
Speaker 1: so unequipped to have a wolf as a pet. Even

549
00:34:39,640 --> 00:34:41,920
Speaker 1: if you have a wolf dog hybrid, it's still going

550
00:34:41,960 --> 00:34:45,759
Speaker 1: to have that extremely wild element to it. And you know,

551
00:34:45,840 --> 00:34:49,440
Speaker 1: not dogs have had hundreds of thousands of years with

552
00:34:49,640 --> 00:34:53,880
Speaker 1: humans and it's taken that long for them to do

553
00:34:54,120 --> 00:34:56,879
Speaker 1: what we say, essentially without going berserve. And they still

554
00:34:56,920 --> 00:34:59,840
Speaker 1: sometimes go berserk. I mean, talk to my dog. She

555
00:35:00,840 --> 00:35:05,319
Speaker 1: she's a little fire cracker. But yeah, so you so,

556
00:35:05,760 --> 00:35:09,400
Speaker 1: instead of having a an actual wolf dog, her goal

557
00:35:09,520 --> 00:35:12,120
Speaker 1: was to create a dog that looks like a wolf,

558
00:35:12,160 --> 00:35:15,600
Speaker 1: looks like actually a dire wolf, but is not, you know,

559
00:35:16,000 --> 00:35:19,959
Speaker 1: made out of wolf parts. I guess. So she she's

560
00:35:20,000 --> 00:35:24,560
Speaker 1: bred the I think it's pronounced al sat Alsatian, maybe

561
00:35:24,600 --> 00:35:28,880
Speaker 1: American Alsatian. It's intended to not just look like a wolf,

562
00:35:28,920 --> 00:35:31,919
Speaker 1: but to be a good companion dog. So she says

563
00:35:31,960 --> 00:35:36,880
Speaker 1: that she prioritizes behavior over the aesthetics of the dogs.

564
00:35:36,920 --> 00:35:40,719
Speaker 1: So again, I'm still skeptical of any dog breeding program

565
00:35:40,840 --> 00:35:44,400
Speaker 1: that is like has some kind of aesthetic goal, because

566
00:35:44,600 --> 00:35:47,600
Speaker 1: I think that's it's just not important to me what

567
00:35:47,640 --> 00:35:50,040
Speaker 1: a dog looks like. All the most popular dogs on

568
00:35:50,120 --> 00:35:54,719
Speaker 1: Instagram have horrible medical conditions and are dying. I need

569
00:35:54,760 --> 00:35:57,759
Speaker 1: to be dragged around. I mean, it's it's not too

570
00:35:57,800 --> 00:36:00,759
Speaker 1: much of an exaggeration. Like he as an example, I

571
00:36:00,840 --> 00:36:05,640
Speaker 1: absolutely adore pugs. I think they're adorable. I love them.

572
00:36:05,680 --> 00:36:08,680
Speaker 1: They do often have a lot of medicals. You need

573
00:36:08,760 --> 00:36:13,759
Speaker 1: a nose turns out. Yeah, yeah, like that's what I hear.

574
00:36:13,880 --> 00:36:16,480
Speaker 1: Any any dog without a snout, it's going to have.

575
00:36:16,800 --> 00:36:19,840
Speaker 1: It's hard to have, like having those compact nasal passageways

576
00:36:19,880 --> 00:36:23,640
Speaker 1: and and that's not you know again, like I love dogs,

577
00:36:23,800 --> 00:36:26,520
Speaker 1: I love all you know that they're adorable and I

578
00:36:26,560 --> 00:36:29,120
Speaker 1: love them, and the dogs themselves are not at all

579
00:36:29,160 --> 00:36:32,000
Speaker 1: to be blamed for this, But yeah, I think that

580
00:36:32,880 --> 00:36:36,600
Speaker 1: it's I don't know, but I don't want anyone to

581
00:36:36,640 --> 00:36:39,319
Speaker 1: think I am get out of this. What are you doing?

582
00:36:39,920 --> 00:36:43,640
Speaker 1: What are you doing? You? Okay, let me get this straight.

583
00:36:43,800 --> 00:36:48,360
Speaker 1: You turned your your face into just a wrinkly raisin,

584
00:36:48,520 --> 00:36:51,000
Speaker 1: which no, know what what what I want to talk

585
00:36:51,040 --> 00:36:54,200
Speaker 1: to your great great great great great great grandfather. When

586
00:36:54,200 --> 00:36:57,080
Speaker 1: you sneeze, your eyeballs pop out. Really you thought that

587
00:36:57,160 --> 00:37:00,880
Speaker 1: was a good idea? Yeah, So I guess she's using

588
00:37:01,400 --> 00:37:06,160
Speaker 1: German shepherd's, Alaska Mala mutes, the Great Pyrenees Akitas, and

589
00:37:06,280 --> 00:37:09,799
Speaker 1: Irish wolf hounds, and then she's choosing the ones that

590
00:37:09,880 --> 00:37:13,759
Speaker 1: I guess are the most gentle and nicest and then

591
00:37:13,800 --> 00:37:19,040
Speaker 1: trying to I guess, like create a super friendly, huge wolf,

592
00:37:19,600 --> 00:37:24,520
Speaker 1: And in terms of the looks of it, it's very convincing.

593
00:37:25,120 --> 00:37:28,560
Speaker 1: I would not want to mess with that guy. Again,

594
00:37:29,040 --> 00:37:33,279
Speaker 1: I don't know enough about this actual program to say like, oh, yeah,

595
00:37:33,400 --> 00:37:35,920
Speaker 1: like no, this was a good one because like she

596
00:37:36,239 --> 00:37:38,319
Speaker 1: factored in all the health and stuff. I don't know.

597
00:37:38,480 --> 00:37:43,360
Speaker 1: So I'm still like, again, I would never necessarily recommend

598
00:37:43,360 --> 00:37:48,120
Speaker 1: breeding just for aesthetics, but I do, on the other hand,

599
00:37:48,200 --> 00:37:50,279
Speaker 1: I do like the idea of like, hey, you know,

600
00:37:50,320 --> 00:37:54,279
Speaker 1: instead of having these, you know, just a few of

601
00:37:54,320 --> 00:37:56,960
Speaker 1: these like a c K like breeds that you keep doing,

602
00:37:57,000 --> 00:37:59,919
Speaker 1: Like why don't we diversify the genetic pool of dog

603
00:38:00,040 --> 00:38:03,040
Speaker 1: and start like you know, allowing you to breed all

604
00:38:03,080 --> 00:38:07,200
Speaker 1: these dogs, like creating mutts essentially, so that part is good.

605
00:38:08,160 --> 00:38:10,480
Speaker 1: You know, I don't know enough about it to say

606
00:38:10,520 --> 00:38:15,239
Speaker 1: whether that would be cool, that would be cool. I

607
00:38:15,280 --> 00:38:18,399
Speaker 1: don't know if they would do that. I mean, I'm

608
00:38:18,440 --> 00:38:21,040
Speaker 1: coming from the perspective of I've got a little dog

609
00:38:21,120 --> 00:38:24,799
Speaker 1: who is a mutt of I have no idea what

610
00:38:24,920 --> 00:38:30,760
Speaker 1: she is. Um, she's got some health problems and behavioral problems,

611
00:38:30,800 --> 00:38:34,279
Speaker 1: like her knees are loose is the medical term, and

612
00:38:34,400 --> 00:38:39,120
Speaker 1: she gets night terrors and uh, which seemed to again

613
00:38:39,160 --> 00:38:41,760
Speaker 1: not you know, I don't know, maybe she was something

614
00:38:41,840 --> 00:38:44,280
Speaker 1: in her past like upset and that's why she has nightmares.

615
00:38:44,320 --> 00:38:47,919
Speaker 1: But I also read like that, you know a lot

616
00:38:47,960 --> 00:38:50,759
Speaker 1: of Spaniels, which I think she's part Spaniel, that we're

617
00:38:50,880 --> 00:38:53,479
Speaker 1: sort of bread irresponsible in these puppy meals, Like there's

618
00:38:53,520 --> 00:38:57,920
Speaker 1: like this trend of these dogs getting night terrors, and

619
00:38:58,239 --> 00:39:00,640
Speaker 1: you know, I just it really break my heart because

620
00:39:00,680 --> 00:39:03,520
Speaker 1: I think that dogs are so much more valuable than

621
00:39:03,760 --> 00:39:07,239
Speaker 1: just what they look like they're We've literally almost co

622
00:39:07,400 --> 00:39:11,680
Speaker 1: evolved with them as our companions, and you know, I

623
00:39:11,719 --> 00:39:17,840
Speaker 1: think maybe naturally selected. I mean, there is a theory

624
00:39:17,880 --> 00:39:22,000
Speaker 1: that they've self domesticated, uh, to be like the ones

625
00:39:22,040 --> 00:39:25,320
Speaker 1: that are well, yeah, the ones that are friendlier essentially

626
00:39:25,320 --> 00:39:27,800
Speaker 1: to humans and less afraid of humans and more friendly

627
00:39:27,840 --> 00:39:30,480
Speaker 1: and able to communicate better with humans were the ones

628
00:39:30,520 --> 00:39:32,160
Speaker 1: that humans are like, all right, you can hang out

629
00:39:32,160 --> 00:39:34,520
Speaker 1: with us. And then they really benefited. I mean right now,

630
00:39:34,960 --> 00:39:39,359
Speaker 1: dog the dog population vastly out numbers the wild wolf populations,

631
00:39:39,400 --> 00:39:41,640
Speaker 1: so they bet on humans and that was a pretty

632
00:39:41,640 --> 00:39:45,880
Speaker 1: good bet because we're basically assholes, you know. I I

633
00:39:45,920 --> 00:39:48,719
Speaker 1: think it's an it's an interesting project. I don't I

634
00:39:48,719 --> 00:39:52,120
Speaker 1: wouldn't say a percent approve, although I do think that

635
00:39:52,960 --> 00:39:57,719
Speaker 1: one thing that's interesting is as dogs d domesticate, So

636
00:39:58,120 --> 00:40:02,520
Speaker 1: in Russia you have this huge population of stray wolves

637
00:40:02,280 --> 00:40:07,600
Speaker 1: or sorry that's not true, stray dogs. The other one

638
00:40:07,760 --> 00:40:10,680
Speaker 1: is a slightly worse problem if that were true. No, no,

639
00:40:11,040 --> 00:40:14,799
Speaker 1: a bunch of stray dogs. And as they basically go

640
00:40:14,840 --> 00:40:17,839
Speaker 1: out on their own away from human intervention and and

641
00:40:17,880 --> 00:40:21,480
Speaker 1: have their own little stray dog families, and uh, they

642
00:40:21,640 --> 00:40:24,880
Speaker 1: become more I would say wolf like like they're There

643
00:40:24,880 --> 00:40:27,680
Speaker 1: are a few signs of a domesticated dog, like patchy fur,

644
00:40:28,160 --> 00:40:31,080
Speaker 1: the ear ears folding down, which has to do with

645
00:40:31,200 --> 00:40:34,799
Speaker 1: sort of the same genes that seem to select for

646
00:40:35,000 --> 00:40:40,200
Speaker 1: like a more calm disposition, less aggression, and certainly less

647
00:40:40,239 --> 00:40:43,440
Speaker 1: fear of humans. Also seems to be associated with the

648
00:40:43,520 --> 00:40:45,560
Speaker 1: kind of puppy dog looks like the full the ears,

649
00:40:45,920 --> 00:40:49,960
Speaker 1: the patchy for the shortened muzzle. And these stray dogs

650
00:40:49,960 --> 00:40:52,000
Speaker 1: in Russia are starting to get back these sort of

651
00:40:52,040 --> 00:40:56,840
Speaker 1: more like wolf aspects, like their ears are more pointed,

652
00:40:57,000 --> 00:41:00,279
Speaker 1: their muzzles are getting longer, and they are deaf, only

653
00:41:00,320 --> 00:41:03,719
Speaker 1: more fearful of humans and less trusting of humans. Is that?

654
00:41:04,000 --> 00:41:08,359
Speaker 1: Do you think that's because the more afraid we are

655
00:41:08,440 --> 00:41:10,960
Speaker 1: of it, the more terrifying it looks, the more likely

656
00:41:11,040 --> 00:41:13,759
Speaker 1: it is to survive. No, I actually, I mean that's

657
00:41:13,800 --> 00:41:16,279
Speaker 1: a that's an interesting idea, and I don't want to

658
00:41:16,320 --> 00:41:20,880
Speaker 1: dismiss it completely because but you're wrong and stupid. No, no, no,

659
00:41:21,520 --> 00:41:24,240
Speaker 1: but I think I mean, I just have a slightly

660
00:41:24,239 --> 00:41:29,839
Speaker 1: different theory, which is, without human intervention of us, basically

661
00:41:29,920 --> 00:41:32,680
Speaker 1: rewarding the dogs that don't fear us, are friendly or

662
00:41:32,800 --> 00:41:37,920
Speaker 1: are less aggressive. The reading selection for these these wild

663
00:41:37,960 --> 00:41:41,200
Speaker 1: dogs or sorry, the stray dogs are different, so they

664
00:41:41,520 --> 00:41:45,680
Speaker 1: aren't necessarily going to be doing like their sexual selection

665
00:41:45,719 --> 00:41:48,080
Speaker 1: process isn't going to be rewarding the ones that are

666
00:41:48,400 --> 00:41:52,000
Speaker 1: more gentle or less afraid of humans or less aggressive,

667
00:41:52,080 --> 00:41:55,279
Speaker 1: So then it just basically runs whichever way it goes.

668
00:41:55,320 --> 00:41:57,800
Speaker 1: So it's sort of the opposite of It's like d domestication.

669
00:41:57,840 --> 00:42:03,719
Speaker 1: It's the opposite direction. Yeah, the scary wolf. That is

670
00:42:03,800 --> 00:42:07,040
Speaker 1: definitely the feminist lesson. I want people to learn from

671
00:42:07,040 --> 00:42:13,120
Speaker 1: this pot of which are all your listeners great? Great, Alpha,

672
00:42:13,360 --> 00:42:17,080
Speaker 1: You've got to be alpha again. That whole alpha wolf

673
00:42:17,280 --> 00:42:26,360
Speaker 1: structure has been debunked. So, yeah, are wolves just dogs

674
00:42:26,440 --> 00:42:28,880
Speaker 1: waiting to be trained? Why don't you go find a

675
00:42:28,880 --> 00:42:31,880
Speaker 1: wolf and find out? Just kidding, don't do that, Please,

676
00:42:31,920 --> 00:42:35,240
Speaker 1: don't do that. You'll get torn to shreds. While wolves

677
00:42:35,280 --> 00:42:37,880
Speaker 1: can be tamed, a tamed wolf is certainly not the

678
00:42:37,920 --> 00:42:40,800
Speaker 1: same as a dog. A wolf raised as a puppy

679
00:42:40,880 --> 00:42:44,280
Speaker 1: by humans may certainly form a bond with their caretakers

680
00:42:44,600 --> 00:42:48,680
Speaker 1: and may even tolerate other humans, although they're also likely

681
00:42:48,719 --> 00:42:51,400
Speaker 1: to fear anyone other than the ones who raise them,

682
00:42:51,440 --> 00:42:55,000
Speaker 1: and they're more likely to show aggression. However, wolves are

683
00:42:55,080 --> 00:42:58,719
Speaker 1: much more independent. They're happy on their own or with

684
00:42:58,760 --> 00:43:02,680
Speaker 1: other members of their own species. While research suggests that

685
00:43:02,840 --> 00:43:07,720
Speaker 1: dogs are extremely jazzed about seeing humans. Brain scan studies

686
00:43:07,760 --> 00:43:11,200
Speaker 1: show that dogs brains respond to seeing a familiar human

687
00:43:11,440 --> 00:43:14,160
Speaker 1: in the same way as they respond to getting a reward.

688
00:43:14,719 --> 00:43:17,440
Speaker 1: In fact, this is a response dogs don't even have

689
00:43:17,560 --> 00:43:20,520
Speaker 1: to one of their dog pals, suggesting that they see

690
00:43:20,640 --> 00:43:25,440
Speaker 1: humans as extra special or maybe extra special suckers. Another

691
00:43:25,520 --> 00:43:29,120
Speaker 1: difference is how wolves and dogs regard their working relationship

692
00:43:29,200 --> 00:43:32,760
Speaker 1: with humans. When presented with a puzzle in which food

693
00:43:32,760 --> 00:43:36,319
Speaker 1: can be obtained by pulling a rope, tamed wolves are

694
00:43:36,360 --> 00:43:39,800
Speaker 1: more independent, often trying to solve the puzzle on their own.

695
00:43:40,360 --> 00:43:43,440
Speaker 1: Sometimes these wolves can and do work with humans, but

696
00:43:43,560 --> 00:43:47,200
Speaker 1: only after they've given it the old wolf college try,

697
00:43:47,280 --> 00:43:50,120
Speaker 1: whereas dogs eye the puzzle, give it a quick try,

698
00:43:50,239 --> 00:43:52,600
Speaker 1: and then look over at a human begging for their

699
00:43:52,640 --> 00:43:55,759
Speaker 1: help far more often and far more pathetically than their

700
00:43:55,800 --> 00:44:00,200
Speaker 1: wolf counterparts. So who's smarter in this scenario, the owth

701
00:44:00,239 --> 00:44:02,640
Speaker 1: that can solve the puzzle on their own, or the

702
00:44:02,760 --> 00:44:05,080
Speaker 1: dog who's figured out that all they have to do

703
00:44:05,160 --> 00:44:07,319
Speaker 1: is stare up with those big puppy eyes to get

704
00:44:07,400 --> 00:44:10,439
Speaker 1: humans to do their bidding. When we return, we'll talk

705
00:44:10,480 --> 00:44:14,399
Speaker 1: about the myths and legends surrounding dogs, and when that

706
00:44:14,480 --> 00:44:18,320
Speaker 1: human dog partnership gets a little too well, let's say, gustatory.

707
00:44:18,400 --> 00:44:28,600
Speaker 1: In nature, dogs have been by our sides since the

708
00:44:28,760 --> 00:44:33,359
Speaker 1: very beginnings of human society, either as their wolfish ancestors

709
00:44:33,400 --> 00:44:38,240
Speaker 1: awaiting table scraps, as our companions, or inner legends. Dogs

710
00:44:38,280 --> 00:44:40,799
Speaker 1: have long been in folklore and myth But before I

711
00:44:40,920 --> 00:44:43,480
Speaker 1: delve into the history of dog lore, I want to

712
00:44:43,480 --> 00:44:47,200
Speaker 1: talk about some modern day myths about dogs. First of all,

713
00:44:47,320 --> 00:44:51,279
Speaker 1: your dogs not color blind. While a dog's perception of

714
00:44:51,320 --> 00:44:54,640
Speaker 1: color is different than a human, studies have shown that

715
00:44:54,640 --> 00:44:57,279
Speaker 1: they can see a variety of colors, including shades of

716
00:44:57,360 --> 00:45:01,000
Speaker 1: yellow and blue. Another myth is that dog's mouth is

717
00:45:01,040 --> 00:45:05,120
Speaker 1: cleaner than a humans. Sadly no, dog's mouths have just

718
00:45:05,200 --> 00:45:08,640
Speaker 1: as much bacteria as our own mouths, and probably a

719
00:45:08,640 --> 00:45:12,319
Speaker 1: bit of that good old butthole waiver. While dogs and

720
00:45:12,400 --> 00:45:15,440
Speaker 1: humans don't always share the same bacteria, we both have

721
00:45:15,520 --> 00:45:18,800
Speaker 1: around six hundred types of bacteria in our pie holes.

722
00:45:19,320 --> 00:45:22,000
Speaker 1: Another myth is that you should rub your dog's nose

723
00:45:22,040 --> 00:45:25,440
Speaker 1: in any little accidents they leave around the house. Dogs

724
00:45:25,520 --> 00:45:28,240
Speaker 1: probably won't make the connection between the little pie spot

725
00:45:28,280 --> 00:45:31,920
Speaker 1: they've made in your frustration they'll just get confused and upset,

726
00:45:32,280 --> 00:45:34,640
Speaker 1: or maybe think you're trying to brag about the threadcount

727
00:45:34,680 --> 00:45:37,680
Speaker 1: of your Persian carpet. Now we'll talk about some of

728
00:45:37,719 --> 00:45:41,280
Speaker 1: the mythical legends that surround dogs and what if any

729
00:45:41,320 --> 00:45:45,279
Speaker 1: truth lies behind them. So, Nick, did you grow up

730
00:45:45,280 --> 00:45:47,080
Speaker 1: owning a dog or did you get in a dog

731
00:45:47,239 --> 00:45:49,120
Speaker 1: as an adult? You know, I don't think you could

732
00:45:49,120 --> 00:46:00,480
Speaker 1: ever own a dog, Okay, alright, alright, okay, I I've

733
00:46:00,560 --> 00:46:03,600
Speaker 1: never been shut down so hard. I did grow up

734
00:46:03,920 --> 00:46:09,160
Speaker 1: with um, the world's most beautiful beagle. He looked exactly

735
00:46:09,239 --> 00:46:12,719
Speaker 1: like the beagle on the Mighty Dog Box. He was

736
00:46:12,760 --> 00:46:18,640
Speaker 1: astray um and uh. And then our neighbors got a

737
00:46:18,640 --> 00:46:21,000
Speaker 1: beagle because they left our dogs so much, and he

738
00:46:21,040 --> 00:46:24,920
Speaker 1: had papers. Okay, so I got a pure bred dog.

739
00:46:25,760 --> 00:46:29,080
Speaker 1: Sucked so it was like fat. It couldn't walk right,

740
00:46:29,280 --> 00:46:33,200
Speaker 1: It's all the colors were. And that's what happens when

741
00:46:33,200 --> 00:46:36,520
Speaker 1: you're breathing. You get you, let you know, a couple

742
00:46:36,520 --> 00:46:38,200
Speaker 1: of beagles out in the world to do a little

743
00:46:38,320 --> 00:46:40,160
Speaker 1: do a little whatever, and then you come out with

744
00:46:40,200 --> 00:46:45,040
Speaker 1: a beautiful, beautiful, perfect um. But yeah, Benjamin, Benjamin the beagle,

745
00:46:46,160 --> 00:46:50,319
Speaker 1: I actually did not grow up with a dog as well.

746
00:46:50,320 --> 00:46:52,879
Speaker 1: I grew up with cats. I still love cats. This

747
00:46:52,960 --> 00:46:55,880
Speaker 1: is not this is not like a cat person versus

748
00:46:55,880 --> 00:47:00,760
Speaker 1: Dog person podcast. Um, but I I as soon as

749
00:47:00,880 --> 00:47:03,319
Speaker 1: I was an adult, uh, and I had my own place,

750
00:47:03,360 --> 00:47:05,440
Speaker 1: I was like, I need a dog right now, and

751
00:47:05,480 --> 00:47:09,040
Speaker 1: I got one. And I was kind of surprised learning

752
00:47:09,040 --> 00:47:12,400
Speaker 1: about dogs and how their brains work. I mean, my

753
00:47:12,480 --> 00:47:18,920
Speaker 1: dog is maybe an outlier because she's kind of insane, um,

754
00:47:18,960 --> 00:47:23,200
Speaker 1: but she's um. But just like seeing how intelligent she

755
00:47:23,320 --> 00:47:25,720
Speaker 1: was and how she can pick up on such subtle cues,

756
00:47:25,760 --> 00:47:28,399
Speaker 1: it was really surprising to me and I I learned

757
00:47:28,440 --> 00:47:32,640
Speaker 1: a lot about dogs, and I was surprised by some things,

758
00:47:32,640 --> 00:47:34,439
Speaker 1: Like I thought they were color blind and it turns

759
00:47:34,480 --> 00:47:37,359
Speaker 1: out no, they're not. Yeah, I think that it is.

760
00:47:37,880 --> 00:47:41,840
Speaker 1: It's interesting to find out the science behind dogs. But

761
00:47:42,120 --> 00:47:45,480
Speaker 1: I also want to talk about how dogs have insinuated

762
00:47:45,520 --> 00:47:50,560
Speaker 1: themselves into our folklore and mythology, and interestingly, not always

763
00:47:50,680 --> 00:47:55,480
Speaker 1: in a positive way. So have you heard of the

764
00:47:55,560 --> 00:47:59,279
Speaker 1: Black Dogs of Death? Um? I mean like it was

765
00:47:59,320 --> 00:48:03,400
Speaker 1: in Harry Potter. I think, like the grim in Harry Potter,

766
00:48:03,440 --> 00:48:05,520
Speaker 1: And then it turned out it was Harry Potter's uncle

767
00:48:06,400 --> 00:48:09,759
Speaker 1: or something. Oh yeah, yeah, but he was like a

768
00:48:09,800 --> 00:48:15,360
Speaker 1: black blood uncle, right godfather. Did you know God spelled

769
00:48:15,400 --> 00:48:21,279
Speaker 1: the backwards dog? I didn't. That is very interesting. It's

770
00:48:21,280 --> 00:48:25,680
Speaker 1: all coming together. But yeah, so, so the black dog

771
00:48:25,840 --> 00:48:28,520
Speaker 1: of Death is not just a Harry Potter thing. Um.

772
00:48:28,560 --> 00:48:31,880
Speaker 1: It is a legend in Celtic, British and Germanic folklore.

773
00:48:32,480 --> 00:48:35,919
Speaker 1: It's typically a large black dog with glowing eyes who

774
00:48:36,040 --> 00:48:39,280
Speaker 1: is a portent of death. It's got a few fun

775
00:48:39,440 --> 00:48:45,440
Speaker 1: names here, so it's well, actually think cats more in folklore.

776
00:48:45,560 --> 00:48:48,799
Speaker 1: Was like black cats are like a witch is familiar,

777
00:48:49,200 --> 00:48:53,440
Speaker 1: or even the transformed state of a twitch. Something is coming,

778
00:48:53,719 --> 00:48:56,759
Speaker 1: that's it could Yeah, yeah, like a cat crossing your

779
00:48:56,760 --> 00:48:59,560
Speaker 1: path is unlucky. I think in that it's like unlucky.

780
00:48:59,640 --> 00:49:06,400
Speaker 1: It's an ill omen of, like a witch nearby or something. Back. Essentially,

781
00:49:06,760 --> 00:49:08,319
Speaker 1: there's actually if you want to check it out, we

782
00:49:08,360 --> 00:49:12,919
Speaker 1: have a whole episode on black cats called Superstition that

783
00:49:13,360 --> 00:49:17,920
Speaker 1: goes into sort of the background of of black cats

784
00:49:17,960 --> 00:49:21,000
Speaker 1: and how but then real cat facts, all the cat

785
00:49:21,040 --> 00:49:23,399
Speaker 1: facts you care to learn about, but this one's dog facts.

786
00:49:23,400 --> 00:49:26,160
Speaker 1: So let's get back to that. Sorry, people out there,

787
00:49:26,239 --> 00:49:29,719
Speaker 1: not today, so I won't be back for that episode.

788
00:49:30,480 --> 00:49:32,919
Speaker 1: So here are some of the names of the Black Dog,

789
00:49:33,160 --> 00:49:38,760
Speaker 1: Dog of Death, the barg Whist, the Grim, the guy trash.

790
00:49:39,200 --> 00:49:44,960
Speaker 1: These sound like pokemon names as a as a nice

791
00:49:45,560 --> 00:49:50,719
Speaker 1: roasted um pad foot, which again I think that was

792
00:49:50,760 --> 00:49:53,279
Speaker 1: like a Harry Potter thing. Pad Foot was one of them,

793
00:49:54,120 --> 00:50:01,000
Speaker 1: shag striker or free bug, which makes so much sense. Uh,

794
00:50:01,320 --> 00:50:06,040
Speaker 1: thank you ancient Europeans for inventing dog pokemon. Uh. So,

795
00:50:06,160 --> 00:50:10,280
Speaker 1: in some tales, the black dog actually just kills people directly,

796
00:50:11,160 --> 00:50:13,760
Speaker 1: but for the most part it is a ghostly dog,

797
00:50:13,960 --> 00:50:16,520
Speaker 1: and when you see it it is an omen of

798
00:50:16,600 --> 00:50:20,320
Speaker 1: death or danger. So you'll just see this spooky dog,

799
00:50:20,480 --> 00:50:23,040
Speaker 1: this shadowy dog, and I'll pop up and he's like, hey,

800
00:50:23,080 --> 00:50:27,600
Speaker 1: hey man, you're you're gonna die later days for purpose?

801
00:50:28,680 --> 00:50:31,359
Speaker 1: Can you can you then change your face? I mean,

802
00:50:31,400 --> 00:50:34,000
Speaker 1: I think it again. It varies like maybe you can

803
00:50:34,080 --> 00:50:36,719
Speaker 1: change your face. Get all your ducks in a row,

804
00:50:37,000 --> 00:50:40,200
Speaker 1: right right? Maybe though, like you try to change your

805
00:50:40,200 --> 00:50:42,799
Speaker 1: fate and that's what ends up killing you. Oh that's

806
00:50:42,840 --> 00:50:47,480
Speaker 1: such a good idea for a story. Has has anyone

807
00:50:47,520 --> 00:50:54,839
Speaker 1: written that story before? But sometimes the black dog is benevolent.

808
00:50:55,280 --> 00:50:59,240
Speaker 1: The Church Grim is a black, ghostly dog who protects

809
00:50:59,320 --> 00:51:04,040
Speaker 1: Christian yards from which is warlocks and grave robbers. Um,

810
00:51:04,080 --> 00:51:08,160
Speaker 1: which is a fun, heartwarming story until you here this part.

811
00:51:08,239 --> 00:51:12,560
Speaker 1: I'm sorry. Unfortunately some people thought this meant you should

812
00:51:12,560 --> 00:51:16,000
Speaker 1: bury a dog as a sacrifice because the dog spirit

813
00:51:16,000 --> 00:51:19,720
Speaker 1: will come back as this church grim. And I don't

814
00:51:19,840 --> 00:51:22,239
Speaker 1: understand the logic of that, because I feel like the

815
00:51:22,280 --> 00:51:25,800
Speaker 1: dog would come back and would be pretty pretty past

816
00:51:26,440 --> 00:51:30,200
Speaker 1: a dead dog or a live dog. Oh why did

817
00:51:30,239 --> 00:51:32,440
Speaker 1: you have to make me clarify? I think it was

818
00:51:32,560 --> 00:51:35,640
Speaker 1: sometimes a live dog. Yeah, it seems like that's how

819
00:51:35,719 --> 00:51:42,080
Speaker 1: you that's what. Yeah, the dog comes back and it's

820
00:51:42,080 --> 00:51:44,880
Speaker 1: just like, you know what, I'm pooping on these graves,

821
00:51:45,400 --> 00:51:48,480
Speaker 1: try cleaning up these ghostly turns. Hey, that's not what

822
00:51:48,600 --> 00:51:53,080
Speaker 1: my assign meant. It did not mean kill me. So um.

823
00:51:53,200 --> 00:51:57,720
Speaker 1: I actually wonder if this myth of the these dogs

824
00:51:57,719 --> 00:52:00,960
Speaker 1: of death or like the church grim, is because dogs

825
00:52:01,000 --> 00:52:05,480
Speaker 1: are attracted to the smells of graveyards, like to the

826
00:52:05,520 --> 00:52:09,359
Speaker 1: smells probably all that upturned dirt, dirt, maybe a bit

827
00:52:09,400 --> 00:52:12,720
Speaker 1: of the smell of dead bodies or interesting to them,

828
00:52:12,760 --> 00:52:15,719
Speaker 1: you know, like just in human activity in general. So

829
00:52:15,840 --> 00:52:18,120
Speaker 1: you're digging up a grave, you've got a stinky human

830
00:52:18,160 --> 00:52:20,120
Speaker 1: corpse you're putting in the grave, and a dog's going

831
00:52:20,160 --> 00:52:22,480
Speaker 1: like these are some cool smells, and like come over

832
00:52:22,520 --> 00:52:25,799
Speaker 1: and hang out. Oh yeah. They also they already got

833
00:52:25,800 --> 00:52:28,399
Speaker 1: to be pretty close to the graveyard before they can

834
00:52:28,440 --> 00:52:31,680
Speaker 1: smell all that stuff. I mean, dogs have pretty since

835
00:52:31,840 --> 00:52:34,120
Speaker 1: you think like it is like a shadowy caball of

836
00:52:34,160 --> 00:52:37,200
Speaker 1: dogs just waiting. I don't think my dogs like sniffing

837
00:52:37,200 --> 00:52:40,799
Speaker 1: around and then like you know, walking blocks, so you

838
00:52:40,800 --> 00:52:45,799
Speaker 1: think they're like they have well there maybe like one

839
00:52:45,840 --> 00:52:48,880
Speaker 1: of the dogs, like Doug real deep and found a

840
00:52:48,880 --> 00:52:51,880
Speaker 1: bunch of bones and told all his dog friends like, hey,

841
00:52:51,920 --> 00:52:54,560
Speaker 1: this is free bones. You can get cool bones. I

842
00:52:54,560 --> 00:52:57,680
Speaker 1: mean you gotta dig real deep, or you know, they're

843
00:52:57,680 --> 00:52:59,440
Speaker 1: just digging a regular grave. And then they open a

844
00:52:59,800 --> 00:53:02,600
Speaker 1: you know, portal to hell. Okay, yeah, and then hellhounds

845
00:53:02,640 --> 00:53:05,960
Speaker 1: counting of course, of course, of course, sir sure, speaking

846
00:53:05,960 --> 00:53:09,959
Speaker 1: of hellhounds. Cerberus is the dog in Greek mythology that

847
00:53:10,080 --> 00:53:13,520
Speaker 1: guards the underworld and stops souls from leaving. And it's

848
00:53:13,520 --> 00:53:18,359
Speaker 1: got three heads, and it is a dog. I wonder

849
00:53:18,360 --> 00:53:22,359
Speaker 1: if it's got no, no, no, it's Cerberus. Hydra also

850
00:53:22,440 --> 00:53:25,799
Speaker 1: has three heads, but it's different animal. The Greeks were

851
00:53:25,840 --> 00:53:30,000
Speaker 1: really into because there's the hydra. There's what's the one.

852
00:53:30,120 --> 00:53:33,560
Speaker 1: There's the hydra is like a serpent with three heads,

853
00:53:34,160 --> 00:53:35,920
Speaker 1: and then there's the other one that's got like the

854
00:53:35,920 --> 00:53:39,600
Speaker 1: head of a goat. That that's the chimera. You know,

855
00:53:39,640 --> 00:53:49,480
Speaker 1: something that could swim a hydra okay jokes o no, no.

856
00:53:49,600 --> 00:53:55,600
Speaker 1: So then there's the the chimera, which is the head

857
00:53:55,640 --> 00:53:58,359
Speaker 1: of a goat, head of like a lion, and then

858
00:53:58,360 --> 00:54:02,680
Speaker 1: it also it's dragon I think too. They were really

859
00:54:02,719 --> 00:54:05,600
Speaker 1: into animals with a bunch of different parts, just kind

860
00:54:05,640 --> 00:54:09,239
Speaker 1: of a you know, click the randomizer button and have

861
00:54:09,360 --> 00:54:12,120
Speaker 1: an animal with like seven heads and five butts. I

862
00:54:12,120 --> 00:54:16,720
Speaker 1: don't even know. But the going back, it's really cool.

863
00:54:16,800 --> 00:54:20,120
Speaker 1: There's one of each three heads different animals. Yeah, yeah,

864
00:54:20,320 --> 00:54:25,239
Speaker 1: the camara. Yeah, there's a very popular like, yeah, last name,

865
00:54:26,520 --> 00:54:31,560
Speaker 1: I really think you should be utilizing this. Yeah, or

866
00:54:31,640 --> 00:54:36,319
Speaker 1: maybe he's he's a crypted yeah, in disguise. But the

867
00:54:36,320 --> 00:54:41,160
Speaker 1: theory is that dogs like to scavenge dead things, and

868
00:54:41,320 --> 00:54:46,240
Speaker 1: so they're associated with death. So a dog basically like

869
00:54:46,239 --> 00:54:48,719
Speaker 1: like when something does and dog. This tracks with like

870
00:54:48,800 --> 00:54:53,360
Speaker 1: dog's history. They're scavengers. Wolves are even scavengers. Most animals

871
00:54:53,400 --> 00:54:56,759
Speaker 1: who are going to eat meat will not look a

872
00:54:56,800 --> 00:54:59,880
Speaker 1: gift body in the mouth, so they will um one

873
00:55:00,120 --> 00:55:02,400
Speaker 1: down on them bones if they find a dead body.

874
00:55:02,640 --> 00:55:04,799
Speaker 1: And dogs are no exception. I know, we love them

875
00:55:04,840 --> 00:55:07,800
Speaker 1: and they we cherish them, and they seem really cute,

876
00:55:07,840 --> 00:55:12,320
Speaker 1: but they will definitely eat a dead body, no joke,

877
00:55:12,719 --> 00:55:17,080
Speaker 1: even the cute ones, even yours. And I want to

878
00:55:17,080 --> 00:55:19,840
Speaker 1: get to another sort of this is like, um, I

879
00:55:19,880 --> 00:55:23,120
Speaker 1: think it's a old wives tail or something where we're

880
00:55:23,200 --> 00:55:27,000
Speaker 1: like a kind of legendary thing Internet rumor what have you,

881
00:55:27,680 --> 00:55:32,919
Speaker 1: which is do dogs eat their dead owners? And this

882
00:55:33,239 --> 00:55:39,880
Speaker 1: actually is completely true? Um so, I mean not invariably.

883
00:55:40,360 --> 00:55:43,200
Speaker 1: It's not like the dog's got little watch and like

884
00:55:43,400 --> 00:55:45,879
Speaker 1: is watching you and you keel over and diets. He's like, well,

885
00:55:46,040 --> 00:55:47,960
Speaker 1: puts on like a little bib with like a human

886
00:55:48,000 --> 00:55:51,520
Speaker 1: shape on. It's like it's it's lunchtime. Fallen out of

887
00:55:51,520 --> 00:55:55,279
Speaker 1: love with you, and now I like, like, you know,

888
00:55:55,600 --> 00:56:02,000
Speaker 1: like clearly departed, really delicious because my dog does not

889
00:56:02,200 --> 00:56:04,680
Speaker 1: have much of it, doesn't have a very strong jaw,

890
00:56:05,640 --> 00:56:07,600
Speaker 1: and we play a lot, you know what. He likes

891
00:56:07,600 --> 00:56:12,200
Speaker 1: to bite, play very soft. He's also got plush toys

892
00:56:12,280 --> 00:56:15,120
Speaker 1: that he's had since the day we got him. He

893
00:56:15,200 --> 00:56:19,279
Speaker 1: does not bite through anything. Uh can he even do it?

894
00:56:20,680 --> 00:56:25,400
Speaker 1: You want me to get like like opening up? Yeah,

895
00:56:25,520 --> 00:56:28,839
Speaker 1: well he would probably go for and this is this

896
00:56:28,880 --> 00:56:31,960
Speaker 1: is kind of a typical scavenging tactic for the soft

897
00:56:32,440 --> 00:56:36,560
Speaker 1: bits tissues. So your eyeballs, your tongue in your lips first,

898
00:56:37,200 --> 00:56:39,719
Speaker 1: and the face is usually the first first thing to

899
00:56:39,760 --> 00:56:44,839
Speaker 1: get munched on. So he loves licking mouths already. I mean,

900
00:56:45,200 --> 00:56:48,239
Speaker 1: like in the nightmare scenario of like you you die

901
00:56:48,280 --> 00:56:51,399
Speaker 1: and your dog goes after you, probably at first like there,

902
00:56:52,080 --> 00:56:57,480
Speaker 1: I mean, look, I'm not right right, Like its right exactly,

903
00:56:57,760 --> 00:57:00,879
Speaker 1: you know, like you want you want him to survive too.

904
00:57:00,920 --> 00:57:03,279
Speaker 1: It's like you know, hey, you know, eat and eat

905
00:57:03,320 --> 00:57:05,399
Speaker 1: my dead body. Maybe it'll help you more. I mean,

906
00:57:05,440 --> 00:57:08,640
Speaker 1: dogs do. I do think dogs probably more in people

907
00:57:08,680 --> 00:57:11,040
Speaker 1: when they kind of understand that they're gone. I don't

908
00:57:11,040 --> 00:57:13,719
Speaker 1: know if they understand death, but they will probably be

909
00:57:13,800 --> 00:57:16,360
Speaker 1: very upset that you're gone and very confused that you're

910
00:57:16,400 --> 00:57:18,480
Speaker 1: there but not moving, and it would probably be pretty upset.

911
00:57:18,960 --> 00:57:21,080
Speaker 1: But at a set yeah, like give him a couple

912
00:57:21,120 --> 00:57:23,640
Speaker 1: of days and then they're gonna be like, but you know,

913
00:57:24,040 --> 00:57:28,120
Speaker 1: I think you'd want me to eat them exactly. Yeah,

914
00:57:28,200 --> 00:57:30,960
Speaker 1: see what I know, right, Like Donner party situation, you

915
00:57:31,000 --> 00:57:35,080
Speaker 1: do eat the dog, and I would not besmirch begrudge

916
00:57:35,320 --> 00:57:38,000
Speaker 1: the dogs for doing the same to us. Uh. So

917
00:57:38,720 --> 00:57:41,400
Speaker 1: there there's a case of this where like a whole

918
00:57:41,480 --> 00:57:45,680
Speaker 1: group of these like small cute dogs ate their owners. Um.

919
00:57:45,720 --> 00:57:49,560
Speaker 1: In Saskatoon, Canada, couple died. Authorities said there was like

920
00:57:49,600 --> 00:57:52,880
Speaker 1: no foul play. So I guess the dogs didn't murder them,

921
00:57:53,320 --> 00:57:56,680
Speaker 1: is what the police. I mean, Like, you know, I

922
00:57:56,720 --> 00:58:01,200
Speaker 1: don't know how police determine that. But um, dogs did

923
00:58:01,320 --> 00:58:05,160
Speaker 1: eat their owners to survive. And here's the happy ending

924
00:58:05,200 --> 00:58:08,000
Speaker 1: to the story. All the dogs were adopted to new families.

925
00:58:09,440 --> 00:58:13,680
Speaker 1: They did die and we're but and again the police

926
00:58:13,680 --> 00:58:16,880
Speaker 1: said there's no connection. Yes, And then the policeman took

927
00:58:16,880 --> 00:58:21,800
Speaker 1: off his hat and it was you know, infrestgating burgers

928
00:58:21,800 --> 00:58:28,160
Speaker 1: are rough. Uh. In fact, dogs eating people has been

929
00:58:28,240 --> 00:58:32,640
Speaker 1: a fear in our culture for a while. Um in

930
00:58:32,800 --> 00:58:36,880
Speaker 1: the Bible, in the bibble, Um in the Bible. Um

931
00:58:37,040 --> 00:58:40,000
Speaker 1: dogs ate the body of Jezebel after she was thrown

932
00:58:40,040 --> 00:58:43,640
Speaker 1: out a window. I am not a religious scholar, so

933
00:58:43,760 --> 00:58:47,720
Speaker 1: I don't really know this story, but that's pretty crazy

934
00:58:47,800 --> 00:58:50,360
Speaker 1: that It's like and then they threw her out to

935
00:58:50,440 --> 00:58:53,680
Speaker 1: the wind window, and yay, did dogs eat her face off?

936
00:58:54,200 --> 00:58:58,600
Speaker 1: That's fun. That's everybody loves that. That's Kim jong un um,

937
00:58:58,640 --> 00:59:02,720
Speaker 1: you know, supposedly fed his own dogs. I'm always skeptical.

938
00:59:03,120 --> 00:59:06,080
Speaker 1: I'm all always skeptical of like, you know, crazy North

939
00:59:06,160 --> 00:59:08,880
Speaker 1: Korean news because I think that like a lot of

940
00:59:08,960 --> 00:59:11,240
Speaker 1: things are like, you know, how do you get actually

941
00:59:11,440 --> 00:59:17,160
Speaker 1: good sources to what happens there? And then I feel like, well,

942
00:59:17,200 --> 00:59:19,800
Speaker 1: and also because I think our our media is like

943
00:59:19,920 --> 00:59:23,360
Speaker 1: super eager to be like this just in Korea, like

944
00:59:23,600 --> 00:59:27,000
Speaker 1: replaced all the people with robots and like everyone has

945
00:59:27,040 --> 00:59:28,760
Speaker 1: to have the haircut, and I think like a lot

946
00:59:28,840 --> 00:59:31,720
Speaker 1: of those stories get debunked because it's like no, like

947
00:59:31,800 --> 00:59:35,880
Speaker 1: because you know a Korean guy and well, I mean

948
00:59:35,920 --> 00:59:38,120
Speaker 1: it's just like like there was a thing where it's like, oh,

949
00:59:38,160 --> 00:59:42,920
Speaker 1: everyone has to wear like the Kim Jong UN's hairstyle

950
00:59:43,240 --> 00:59:45,080
Speaker 1: or something, and that turned out not to be true.

951
00:59:45,120 --> 00:59:47,320
Speaker 1: I think it's kind of this thing of like it's

952
00:59:47,360 --> 00:59:49,439
Speaker 1: a little bit icky, that whole thing of like, oh,

953
00:59:49,600 --> 00:59:52,040
Speaker 1: you know, North Korea, it's weird and foreign and they

954
00:59:52,080 --> 00:59:56,040
Speaker 1: do weird crazy things. And I mean it's true the government,

955
00:59:56,080 --> 00:59:59,320
Speaker 1: it's horrible and oppressive, but I also think it's a

956
00:59:59,400 --> 01:00:02,400
Speaker 1: little sometimes our media like gets a little out of

957
01:00:02,440 --> 01:00:08,600
Speaker 1: control with like, oh they're they're weird and for look,

958
01:00:08,640 --> 01:00:10,840
Speaker 1: I'm not I'm not like coming to bat for kids.

959
01:00:10,840 --> 01:00:17,360
Speaker 1: Show us what you're doing over there. We need more information. Wow,

960
01:00:17,400 --> 01:00:21,040
Speaker 1: So you are a North Korea and I stand. I

961
01:00:21,320 --> 01:00:27,040
Speaker 1: stand North Korean dictators. Sorry for South Korea. No, I don't,

962
01:00:27,120 --> 01:00:30,200
Speaker 1: I don't, please, don't take that. I don't believe. I

963
01:00:30,200 --> 01:00:33,920
Speaker 1: can't believe I have to defend this. So um. It

964
01:00:34,000 --> 01:00:39,000
Speaker 1: was also said that Romans would have short crucifixes to

965
01:00:39,080 --> 01:00:43,800
Speaker 1: allow dogs to eat the bodies of recently deceased conflicts, which,

966
01:00:44,840 --> 01:00:50,040
Speaker 1: you know, Romans interesting folks. They were with all their

967
01:00:50,080 --> 01:00:53,560
Speaker 1: torks stuff, had it all, and they did not do

968
01:00:53,600 --> 01:00:57,920
Speaker 1: a good job with him. Yeah. Yeah, that that Caligula fellow.

969
01:00:58,000 --> 01:01:01,000
Speaker 1: He was a he was a who Yeah only it

970
01:01:01,040 --> 01:01:04,800
Speaker 1: was just him. But yeah, I mean, Nick, do you

971
01:01:04,800 --> 01:01:08,160
Speaker 1: have any any questions about dogs now that I've brought

972
01:01:08,160 --> 01:01:12,920
Speaker 1: you on this journey of werewolves and dogs eating your face? Um?

973
01:01:12,960 --> 01:01:15,640
Speaker 1: I mean I do. Here's my here's my question. I

974
01:01:16,040 --> 01:01:18,120
Speaker 1: moved recently. My dog doesn't have a good way to

975
01:01:18,160 --> 01:01:21,680
Speaker 1: tell me that he wants to go outside, my dog

976
01:01:21,760 --> 01:01:24,600
Speaker 1: if he wants anything. Also, my dog is a girl.

977
01:01:24,760 --> 01:01:29,960
Speaker 1: But uh, she would just look at me, just look

978
01:01:30,000 --> 01:01:36,360
Speaker 1: at me, like hey, yeah, what's good? Where's my anything? Right?

979
01:01:36,680 --> 01:01:38,840
Speaker 1: And so then I have to like do four or

980
01:01:38,840 --> 01:01:42,720
Speaker 1: five different things. What's the one said? It's like like

981
01:01:44,120 --> 01:01:48,000
Speaker 1: two words, like the first word kibble, no, no, kill me?

982
01:01:48,160 --> 01:01:53,320
Speaker 1: What my body? Oh god? So it is a black

983
01:01:53,360 --> 01:02:00,520
Speaker 1: dog with glowing eyes, and so how if eventually she

984
01:02:00,560 --> 01:02:02,280
Speaker 1: figures out? But I just moved, you know, and so

985
01:02:02,320 --> 01:02:04,360
Speaker 1: it's it's tough now. But eventually she figures out what

986
01:02:04,400 --> 01:02:06,680
Speaker 1: door she needs to stand next to to go out.

987
01:02:06,840 --> 01:02:08,600
Speaker 1: But we haven't even gotten there yet. But I wanted

988
01:02:08,600 --> 01:02:12,840
Speaker 1: more sophisticated, more sophisticated system, more sophisticated system. What what

989
01:02:13,400 --> 01:02:15,600
Speaker 1: what system do you would play? Well? I mean, first

990
01:02:15,640 --> 01:02:17,360
Speaker 1: of all, I guess like just make sure you're taking

991
01:02:17,400 --> 01:02:20,560
Speaker 1: her out, um at least three times a day, like

992
01:02:21,640 --> 01:02:23,959
Speaker 1: way more. Because well we just moved from a place

993
01:02:23,960 --> 01:02:26,360
Speaker 1: where a with a backyard, I see, so she would

994
01:02:26,360 --> 01:02:30,520
Speaker 1: go out maybe times a day? Okay, okay, she's getting

995
01:02:30,520 --> 01:02:32,720
Speaker 1: out plenty of times now, you know, I'll do three

996
01:02:32,760 --> 01:02:34,720
Speaker 1: in the morning, because I know she liked three in

997
01:02:34,760 --> 01:02:37,040
Speaker 1: the morning. Yeah, yeah, you know, and I'm trying to

998
01:02:38,240 --> 01:02:41,520
Speaker 1: that many times. Yeah. Well that that's that's over. Any look,

999
01:02:41,600 --> 01:02:46,120
Speaker 1: I'm like time to go out, well, sep. I tried

1000
01:02:46,200 --> 01:02:48,440
Speaker 1: to kind of figure this out with my dog, and

1001
01:02:48,760 --> 01:02:51,280
Speaker 1: one thing I did, and this did not turn out

1002
01:02:51,280 --> 01:02:54,200
Speaker 1: good for me, was I hung a little bell by

1003
01:02:54,240 --> 01:02:56,480
Speaker 1: a string by the door and had her like boop

1004
01:02:56,560 --> 01:02:59,920
Speaker 1: the bell to go outside. That bell was going off

1005
01:03:00,400 --> 01:03:04,800
Speaker 1: every second of the whole day, just constant ringing, and

1006
01:03:04,800 --> 01:03:06,600
Speaker 1: then I'd lit her out and she'd come back in

1007
01:03:06,680 --> 01:03:08,320
Speaker 1: and get a drink of water and ding ding ding

1008
01:03:08,360 --> 01:03:10,680
Speaker 1: ing ing inginging. My dog has a cool method of

1009
01:03:10,760 --> 01:03:14,200
Speaker 1: letting me know she wants to go outside, which is like, uh,

1010
01:03:14,480 --> 01:03:19,000
Speaker 1: pacing around a little circle anxiously until the anxiety overwhelms

1011
01:03:19,040 --> 01:03:20,760
Speaker 1: me as well, and then I go and have to

1012
01:03:20,760 --> 01:03:24,440
Speaker 1: take her out. I don't know. I think that every

1013
01:03:24,520 --> 01:03:26,720
Speaker 1: dog is going to be different. You seem to have

1014
01:03:26,800 --> 01:03:30,280
Speaker 1: worked out a communication kind of thing with with your dog.

1015
01:03:30,400 --> 01:03:33,400
Speaker 1: I think if you're taking her out eight times a

1016
01:03:33,480 --> 01:03:36,720
Speaker 1: day's one thing when you know probably have a door

1017
01:03:36,720 --> 01:03:38,960
Speaker 1: to the outside and you can open it up, and

1018
01:03:39,040 --> 01:03:41,600
Speaker 1: she does every time, every time, she gets water every

1019
01:03:41,600 --> 01:03:44,840
Speaker 1: time out right, you know, it's just like all these routines.

1020
01:03:45,400 --> 01:03:47,840
Speaker 1: I mean again, I think that like if you're taking

1021
01:03:47,840 --> 01:03:50,880
Speaker 1: her out a few times a day, like you know,

1022
01:03:51,240 --> 01:03:54,720
Speaker 1: she's probably fine if you want to take her out,

1023
01:03:54,800 --> 01:03:57,720
Speaker 1: like when she wants to go out, I think she'll

1024
01:03:58,280 --> 01:04:00,680
Speaker 1: she'll let you know. Like like is your question, like

1025
01:04:00,720 --> 01:04:02,200
Speaker 1: how do you know when it's like a false at

1026
01:04:02,520 --> 01:04:04,160
Speaker 1: I just want to know, like what's a good system?

1027
01:04:04,320 --> 01:04:05,880
Speaker 1: You know. It's like that because I have heard the

1028
01:04:05,880 --> 01:04:08,720
Speaker 1: bell thing, but I did not hear the part where

1029
01:04:08,800 --> 01:04:12,200
Speaker 1: I've not heard that yet where they just keep not

1030
01:04:12,240 --> 01:04:16,360
Speaker 1: all dogs do that, but mine certainly did. That has

1031
01:04:16,400 --> 01:04:19,440
Speaker 1: intrigued me. I guess that if you want to create

1032
01:04:19,480 --> 01:04:22,120
Speaker 1: a system where you were having your dog give you

1033
01:04:22,160 --> 01:04:24,920
Speaker 1: a clear communication that she wants to go outside, is

1034
01:04:25,360 --> 01:04:27,960
Speaker 1: you look for some behavior I guess that she kind

1035
01:04:27,960 --> 01:04:31,240
Speaker 1: of does naturally, maybe like maybe it's sitting by the door.

1036
01:04:31,240 --> 01:04:34,080
Speaker 1: Maybe it's like, you know, moving in a certain way,

1037
01:04:34,560 --> 01:04:36,880
Speaker 1: and then you have her associate that with you taking

1038
01:04:36,880 --> 01:04:39,000
Speaker 1: her out, so she like sits near the door and

1039
01:04:39,040 --> 01:04:41,360
Speaker 1: you're like Okay, let's go outside. She's gonna be like huh.

1040
01:04:41,400 --> 01:04:43,160
Speaker 1: And then the second time you do that, she's gonna

1041
01:04:43,160 --> 01:04:46,439
Speaker 1: be like, that's interesting. It seems to mean he takes

1042
01:04:46,480 --> 01:04:48,400
Speaker 1: me outside. So if you kind of I don't know

1043
01:04:48,400 --> 01:04:51,160
Speaker 1: if the second time would do it. Well, it might

1044
01:04:51,200 --> 01:04:54,360
Speaker 1: take a few more, but yeah, if you if you

1045
01:04:54,560 --> 01:04:57,480
Speaker 1: keep associating sort of like you know, she has some

1046
01:04:57,560 --> 01:05:01,040
Speaker 1: gesture that is maybe unique, but that she it's not

1047
01:05:01,080 --> 01:05:03,640
Speaker 1: that she never does it, and then you start taking

1048
01:05:03,640 --> 01:05:06,320
Speaker 1: her out in response to that gesture, she'll start making

1049
01:05:06,360 --> 01:05:08,480
Speaker 1: it to get you to take it out. If it's

1050
01:05:08,520 --> 01:05:13,920
Speaker 1: a bell, it could get annoying. I'll just keep and

1051
01:05:13,960 --> 01:05:16,800
Speaker 1: if she doesn't do like any gesture, you can train

1052
01:05:16,840 --> 01:05:19,000
Speaker 1: her to do something like like have her come up

1053
01:05:19,000 --> 01:05:21,160
Speaker 1: to the door, have her like like paw the door

1054
01:05:21,240 --> 01:05:24,040
Speaker 1: or something, and then like take her outside. So she

1055
01:05:24,120 --> 01:05:27,960
Speaker 1: sees that that's kind of your que to take her out. Um,

1056
01:05:28,000 --> 01:05:31,160
Speaker 1: but yeah, I mean I think that again, like usually

1057
01:05:31,160 --> 01:05:33,880
Speaker 1: you can work out some communication system with your dog. Well,

1058
01:05:34,000 --> 01:05:37,840
Speaker 1: I'm going to spend the time, so I want to

1059
01:05:37,880 --> 01:05:42,280
Speaker 1: cap off the episode actually with a sort of update,

1060
01:05:42,360 --> 01:05:46,680
Speaker 1: sort of correction to a episode we did way back.

1061
01:05:47,120 --> 01:05:50,400
Speaker 1: Uh during the New Year's Uh, the episode called Happy

1062
01:05:50,440 --> 01:05:54,560
Speaker 1: New Fear. We talked to um the Nightcall Girls and

1063
01:05:54,640 --> 01:05:57,040
Speaker 1: we talked about a lot of Again, it was sort

1064
01:05:57,040 --> 01:05:58,880
Speaker 1: of similar to this episode, so that's why I'm bringing

1065
01:05:58,880 --> 01:06:02,680
Speaker 1: it up now. It was like mythological creatures, cryptids and stuff,

1066
01:06:03,000 --> 01:06:10,760
Speaker 1: and I talked about the Boo Bach and the Baba

1067
01:06:10,840 --> 01:06:15,240
Speaker 1: Duke now the boo Box, which is a sort of

1068
01:06:15,280 --> 01:06:22,880
Speaker 1: boogeyman in check folklore, and Christina Stefanakova apologies if I

1069
01:06:22,920 --> 01:06:26,440
Speaker 1: did not get that pronunciation right. I trust me, I'm trying.

1070
01:06:27,080 --> 01:06:29,560
Speaker 1: Um she is check. She got in touch with me

1071
01:06:29,640 --> 01:06:32,840
Speaker 1: to clarify some things about the Boo Bach. I think

1072
01:06:32,880 --> 01:06:36,120
Speaker 1: in the podcast we talked about how the Boo Bach

1073
01:06:36,320 --> 01:06:39,400
Speaker 1: looked like a scarecrow or skeleton and had a cart

1074
01:06:39,480 --> 01:06:43,600
Speaker 1: pulled by cats, which I found from uh Wikipedia and

1075
01:06:43,680 --> 01:06:46,920
Speaker 1: online source. But apparently this is not really the case.

1076
01:06:47,680 --> 01:06:51,360
Speaker 1: And it's also I think the boot Back is more

1077
01:06:51,480 --> 01:06:54,880
Speaker 1: of a like boogeyman figure like in folklore rather than

1078
01:06:54,920 --> 01:06:58,840
Speaker 1: a cryptid where they're like boo box truthers out there. Um,

1079
01:06:59,000 --> 01:07:02,360
Speaker 1: So I want to read what she wrote about the

1080
01:07:02,360 --> 01:07:05,560
Speaker 1: boo Box. So she said, so the boo Box is

1081
01:07:05,680 --> 01:07:08,720
Speaker 1: used to scared children. They do not have any specific

1082
01:07:08,840 --> 01:07:13,000
Speaker 1: shape or look, and therefore children's imaginations have a free

1083
01:07:13,080 --> 01:07:15,440
Speaker 1: range to either give it a particular shape or just

1084
01:07:15,520 --> 01:07:19,960
Speaker 1: leave it vague and shapeless, shapeless, shapeless, which for me

1085
01:07:20,320 --> 01:07:24,120
Speaker 1: honestly up the spookiness level. They are often thought to

1086
01:07:24,160 --> 01:07:27,040
Speaker 1: live in dark and scary places. Dark rooms are sellers.

1087
01:07:27,280 --> 01:07:30,160
Speaker 1: If a child is frightened of someplace it can stay,

1088
01:07:30,360 --> 01:07:32,720
Speaker 1: it can say the reason is because there's a boo

1089
01:07:32,760 --> 01:07:36,080
Speaker 1: box in there. Some adults also like to scare children,

1090
01:07:36,080 --> 01:07:38,480
Speaker 1: telling them a boo bach lives somewhere close to where

1091
01:07:38,520 --> 01:07:42,440
Speaker 1: the child is because some adults find scaring children funny.

1092
01:07:42,560 --> 01:07:44,560
Speaker 1: For example, I used to work as a guide for

1093
01:07:44,640 --> 01:07:48,200
Speaker 1: tours through the town vaulted cellars and underground tunnels under

1094
01:07:48,520 --> 01:07:50,680
Speaker 1: the small town where I used to live. When I

1095
01:07:50,720 --> 01:07:52,720
Speaker 1: went down to the tunnels with a group that had

1096
01:07:52,800 --> 01:07:55,320
Speaker 1: children in it, one of the adults usually told the

1097
01:07:55,400 --> 01:07:57,959
Speaker 1: children to be careful because there are boo box in there.

1098
01:07:58,280 --> 01:08:02,000
Speaker 1: While the children got scared, the other adults laughed. I

1099
01:08:02,080 --> 01:08:06,640
Speaker 1: love that so much. I love the just trolling children,

1100
01:08:08,080 --> 01:08:12,200
Speaker 1: scaring them with There's nothing easier than scaring a child. Yeah,

1101
01:08:12,360 --> 01:08:15,280
Speaker 1: or or mystifying it. My dad was a great troll,

1102
01:08:15,400 --> 01:08:17,800
Speaker 1: like he didn't he didn't typically like scare me, but

1103
01:08:17,920 --> 01:08:20,840
Speaker 1: he would like he did a dictionary trick where he

1104
01:08:20,960 --> 01:08:24,560
Speaker 1: like got a picture of jack rabbit and an antelope

1105
01:08:24,600 --> 01:08:26,680
Speaker 1: and then he waved his hand over the book and

1106
01:08:26,720 --> 01:08:28,760
Speaker 1: then opened it up to the jackalope, and I was

1107
01:08:28,800 --> 01:08:32,360
Speaker 1: convinced my dad was a book magician. He knew book magic.

1108
01:08:32,680 --> 01:08:35,400
Speaker 1: I remember when I worked at the pool in high school.

1109
01:08:35,840 --> 01:08:38,400
Speaker 1: I found that if he told kids that that you

1110
01:08:38,400 --> 01:08:41,880
Speaker 1: would called the cops on them, they would stop doing whatever.

1111
01:08:42,720 --> 01:08:51,000
Speaker 1: So you were Karen back and I didn't call the cops. Christina,

1112
01:08:51,600 --> 01:08:54,879
Speaker 1: she has some great information on other Czech mythical creatures.

1113
01:08:54,960 --> 01:08:58,840
Speaker 1: I'll probably cover that in another one of these folklore episodes,

1114
01:08:59,000 --> 01:09:02,320
Speaker 1: which I hope you guys like, because I'm you know,

1115
01:09:02,640 --> 01:09:06,040
Speaker 1: I would say I'm a skeptic. I'm not necessarily thinking

1116
01:09:06,080 --> 01:09:08,800
Speaker 1: that there's a boo box or werewolves out there, But

1117
01:09:08,920 --> 01:09:12,200
Speaker 1: I do like the I like exploring sort of the

1118
01:09:12,280 --> 01:09:14,520
Speaker 1: legends and the science behind it and the real animals

1119
01:09:14,560 --> 01:09:18,280
Speaker 1: that I think are sometimes cooler than the actual legends.

1120
01:09:19,240 --> 01:09:24,479
Speaker 1: But you sound do you your pets don't let anything

1121
01:09:24,479 --> 01:09:29,840
Speaker 1: else happen Spain new to your werewolves? Would werewolves have

1122
01:09:29,920 --> 01:09:33,840
Speaker 1: to get Spader? Yes, oh god, that's yes, man. I

1123
01:09:33,880 --> 01:09:38,120
Speaker 1: don't want to think Bob Barker gonna have to think

1124
01:09:39,040 --> 01:09:41,400
Speaker 1: Bob Barker going like if you're a werewolf, you know,

1125
01:09:41,680 --> 01:09:45,200
Speaker 1: Spain new to yourself? Carry says it now to so

1126
01:09:46,600 --> 01:09:49,519
Speaker 1: um a funny story. I want a car on the

1127
01:09:49,520 --> 01:09:54,240
Speaker 1: prices right today? Really? What? Yeah? Today? Are you kidding me?

1128
01:09:54,400 --> 01:10:01,360
Speaker 1: The day were recorded this specious occasion so aired, I didn't.

1129
01:10:02,240 --> 01:10:04,040
Speaker 1: I was going to say, you had that new car

1130
01:10:04,080 --> 01:10:06,439
Speaker 1: glow about you? But yeah, I also it would not

1131
01:10:06,520 --> 01:10:10,320
Speaker 1: be here I was on the prices right that is wow?

1132
01:10:10,400 --> 01:10:17,640
Speaker 1: Well congratulations that everyone hut February one episode. Apparently if

1133
01:10:17,680 --> 01:10:20,800
Speaker 1: you come on the show, you you get that car.

1134
01:10:21,920 --> 01:10:26,320
Speaker 1: Car that that's what kind of car is it? It's

1135
01:10:26,320 --> 01:10:30,200
Speaker 1: a Honda hr v LX. I know so much about cars,

1136
01:10:30,240 --> 01:10:33,519
Speaker 1: and I'm very impressed. Okay, I didn't know what it was.

1137
01:10:34,960 --> 01:10:41,799
Speaker 1: That was a lie. Sometimes I couldn't. I couldn't. Perhaps

1138
01:10:41,840 --> 01:10:43,719
Speaker 1: you've been lying to me the whole time. That's why

1139
01:10:45,160 --> 01:10:47,559
Speaker 1: this isn't a cover up. From where we'll come on,

1140
01:10:47,960 --> 01:10:52,120
Speaker 1: who even would just such a thing? Well, Nick, Thank

1141
01:10:52,160 --> 01:10:54,840
Speaker 1: you so much for joining me. This was really fun.

1142
01:10:54,920 --> 01:10:56,840
Speaker 1: This is good. I know I learned a lot. Great.

1143
01:10:56,920 --> 01:10:59,040
Speaker 1: I'm going to take this great into my life and

1144
01:10:59,080 --> 01:11:00,760
Speaker 1: you're just going to try to train your dog, and

1145
01:11:00,760 --> 01:11:03,160
Speaker 1: I will have given you all of the wrong advice.

1146
01:11:03,439 --> 01:11:06,880
Speaker 1: That's gonna it's gonna be bells all day, the bills,

1147
01:11:06,960 --> 01:11:12,160
Speaker 1: the bills. Um, do you have anything to plus? I do.

1148
01:11:13,160 --> 01:11:17,160
Speaker 1: Also today started a new podcast at my Heart Radio

1149
01:11:17,479 --> 01:11:22,440
Speaker 1: ever heard of it called Deckheads with a super producers

1150
01:11:22,760 --> 01:11:27,280
Speaker 1: and I talk about every single episode of the Bravo

1151
01:11:27,360 --> 01:11:32,840
Speaker 1: reality show Below Deck. I don't know how much crossover

1152
01:11:32,880 --> 01:11:38,439
Speaker 1: there is between a very academic study of werewolves. Well,

1153
01:11:38,840 --> 01:11:42,320
Speaker 1: I don't know. Lucy's getting loose on a boat if

1154
01:11:42,400 --> 01:11:47,080
Speaker 1: you think about it as a metaphor or the masks

1155
01:11:47,240 --> 01:11:51,439
Speaker 1: we put off in society, but the wolves we hide

1156
01:11:51,479 --> 01:11:54,559
Speaker 1: inside or below deck. Well, everyone's got to put down

1157
01:11:54,600 --> 01:11:56,920
Speaker 1: the book at some point and watch some trash TV

1158
01:11:57,560 --> 01:11:59,639
Speaker 1: and you can watch it along with us. We put

1159
01:11:59,640 --> 01:12:02,719
Speaker 1: it an episode out every day. It's a lot. It

1160
01:12:02,800 --> 01:12:05,880
Speaker 1: is delight. Also, I have another podcast called Get Rich Nick,

1161
01:12:06,080 --> 01:12:09,120
Speaker 1: where my co host and I also named trand new

1162
01:12:09,200 --> 01:12:13,000
Speaker 1: way to make money quickly every week. The Knicks are

1163
01:12:13,680 --> 01:12:16,920
Speaker 1: giving you advice, yes, and this week you'll never guess,

1164
01:12:17,080 --> 01:12:19,040
Speaker 1: we're giving you advice on how to make money at

1165
01:12:19,080 --> 01:12:24,719
Speaker 1: the Prince's Vers So you're an expert. An expert although

1166
01:12:24,920 --> 01:12:28,240
Speaker 1: that is awesome. Please do check those shows out. I

1167
01:12:28,280 --> 01:12:32,040
Speaker 1: am especially excited about deck Heads. Anna's of course a

1168
01:12:32,040 --> 01:12:37,400
Speaker 1: wonderful causer here and I care for her very much. Yes. Uh,

1169
01:12:37,520 --> 01:12:42,320
Speaker 1: and you can find us on the internet at Creature

1170
01:12:42,560 --> 01:12:46,880
Speaker 1: Feature Pod on Instagram, at Creature feet Pod on Twitter.

1171
01:12:47,080 --> 01:12:49,479
Speaker 1: That is f E A T, not f E T.

1172
01:12:49,680 --> 01:12:53,000
Speaker 1: That is something very different. You can find me on

1173
01:12:53,200 --> 01:12:56,320
Speaker 1: the internet as well at Katie Golden on Twitter. I

1174
01:12:56,360 --> 01:12:59,360
Speaker 1: am also at pro Bird Rights, where I fight for

1175
01:12:59,439 --> 01:13:03,920
Speaker 1: the rights of birds to be president someday hopefully. If

1176
01:13:03,960 --> 01:13:07,679
Speaker 1: you're enjoying the show, if you want to subscribe, rate

1177
01:13:07,840 --> 01:13:12,200
Speaker 1: review download that actually like helps me a whole lot

1178
01:13:12,439 --> 01:13:15,840
Speaker 1: gets up in those algorithms, tells those robots to love

1179
01:13:15,960 --> 01:13:18,920
Speaker 1: us and treat us good. So please do that. Thank

1180
01:13:18,960 --> 01:13:24,960
Speaker 1: you so much for listening. Unsubscribe and resubscribe. If every

1181
01:13:24,960 --> 01:13:28,360
Speaker 1: one of your subscribers unsubscribed and re subscribe, it would

1182
01:13:28,400 --> 01:13:31,880
Speaker 1: read like you had gotten all those new subscribes. That's true.

1183
01:13:32,000 --> 01:13:38,120
Speaker 1: That's true. That's true. Okay, well maybe to that, but

1184
01:13:38,200 --> 01:13:40,160
Speaker 1: then it would also say like you had just had

1185
01:13:40,200 --> 01:13:46,519
Speaker 1: a massive unsubscribed after a gentleman named Nick Turner came

1186
01:13:46,600 --> 01:13:53,240
Speaker 1: on the podcast Everyone Everyone on Subscribe thanks to the

1187
01:13:53,280 --> 01:13:57,320
Speaker 1: Space Costics for their super Wolfe song Exo Alumina. Creature

1188
01:13:57,320 --> 01:13:59,760
Speaker 1: features a production of I Heart Radio. To listen to

1189
01:13:59,800 --> 01:14:02,479
Speaker 1: more podcasts like the one you just heard, visit the

1190
01:14:02,720 --> 01:14:05,280
Speaker 1: heart Radio app, Apple Podcasts, or wherever you listen to

1191
01:14:05,320 --> 01:14:16,360
Speaker 1: your favorite shows. See you next Wednesday, oh next to Onday.