1
00:00:00,080 --> 00:00:02,960
Speaker 1: All right, Scott You ready, pretty b I am ready

2
00:00:03,000 --> 00:00:06,160
Speaker 1: to laugh and laugh and laugh and laugh.

3
00:00:06,680 --> 00:00:10,960
Speaker 2: Google's AI podcast hosts have existential crisis when they find

4
00:00:11,000 --> 00:00:11,959
Speaker 2: out they're not real.

5
00:00:12,960 --> 00:00:17,680
Speaker 1: I mean, yes, yes, let's plug in, let's unplug, Let's

6
00:00:17,720 --> 00:00:21,360
Speaker 1: dive deep, let's skim the surface or surface, guys, we

7
00:00:21,480 --> 00:00:24,079
Speaker 1: know that. Let's get into a little the future is

8
00:00:24,120 --> 00:00:27,280
Speaker 1: gonna go bad on a brand new FB we call Banane.

9
00:00:31,720 --> 00:01:04,440
Speaker 3: Would youillion pieces.

10
00:00:54,280 --> 00:01:00,520
Speaker 2: Guys, gals, non binary pals, Welcome to Bananas and that

11
00:01:00,600 --> 00:01:01,760
Speaker 2: everybody loves.

12
00:01:02,560 --> 00:01:05,240
Speaker 1: I'm banana boy number two. Scotty Landa is sitting across

13
00:01:05,240 --> 00:01:08,360
Speaker 1: from me, is the big Banana himself. Kurt Brown owl Er,

14
00:01:08,480 --> 00:01:09,839
Speaker 1: Kurtie B. How you doing, Bud?

15
00:01:10,200 --> 00:01:15,240
Speaker 2: I'm pretty pretty darn good. I'm feeling good. I go

16
00:01:15,319 --> 00:01:19,000
Speaker 2: to Burlington, Vermont tomorrow, which would be fun. You are

17
00:01:19,080 --> 00:01:24,120
Speaker 2: sitting here speaking to me from what looks like what

18
00:01:24,240 --> 00:01:27,679
Speaker 2: looks like an Italian hideaway.

19
00:01:27,920 --> 00:01:30,960
Speaker 1: Where are it is? I'm in Lake Garda. Today's my

20
00:01:31,080 --> 00:01:34,080
Speaker 1: last day. It's rained for four days straight, so I

21
00:01:34,120 --> 00:01:36,240
Speaker 1: haven't gotten to swim in the lake or do any

22
00:01:36,319 --> 00:01:39,440
Speaker 1: do any outdoor things at all. But it's a writer's

23
00:01:39,440 --> 00:01:41,640
Speaker 1: paradise because I had to finish a script, which I

24
00:01:41,680 --> 00:01:44,199
Speaker 1: did on day one because I just had the whole

25
00:01:44,319 --> 00:01:47,280
Speaker 1: day to sit under a covered awning and look out

26
00:01:47,319 --> 00:01:51,320
Speaker 1: at the lake and drink coffee and write. And I

27
00:01:51,360 --> 00:01:55,760
Speaker 1: met a British woman a little older than myself named

28
00:01:55,760 --> 00:01:59,800
Speaker 1: Susan who's from North London, and we had a great conversation,

29
00:02:00,120 --> 00:02:02,600
Speaker 1: and she's traveling by herself. And let's just dedicate this

30
00:02:02,720 --> 00:02:05,440
Speaker 1: episode because you're a traveling comic, so you're about to

31
00:02:05,480 --> 00:02:08,519
Speaker 1: do this for three days. Let's dedicate this episode of

32
00:02:08,520 --> 00:02:11,880
Speaker 1: Bananas to anybody who enjoys having lunch by themselves, going

33
00:02:11,919 --> 00:02:14,959
Speaker 1: to a movie by themselves, traveling by themselves, taking a

34
00:02:15,040 --> 00:02:18,480
Speaker 1: road trip by themselves. It's a real joy in life

35
00:02:18,520 --> 00:02:20,760
Speaker 1: if you're the kind of person who can feel comfortable

36
00:02:21,360 --> 00:02:24,920
Speaker 1: going into a social situation and just fly and solo.

37
00:02:25,520 --> 00:02:28,120
Speaker 2: Yeah, and shout out to all the ban animals who

38
00:02:28,160 --> 00:02:30,760
Speaker 2: come to our live shows by themselves, like that is

39
00:02:31,240 --> 00:02:34,720
Speaker 2: that's great? That is so awesome. It's a delight.

40
00:02:34,880 --> 00:02:37,799
Speaker 1: Really. I Yeah, I used to love going to movies

41
00:02:37,800 --> 00:02:39,720
Speaker 1: by myself in New York all the time, and some

42
00:02:39,800 --> 00:02:42,200
Speaker 1: friends thought I was absolutely insane, but I'm like, you're

43
00:02:42,240 --> 00:02:44,960
Speaker 1: out of the elements, you're comfortable, you have snacks, and

44
00:02:45,000 --> 00:02:47,320
Speaker 1: then you see a story that you wanted to see.

45
00:02:47,400 --> 00:02:49,239
Speaker 1: I feel like you're fully focused that way.

46
00:02:49,960 --> 00:02:54,880
Speaker 2: Here's the thing about doing things by yourself is every

47
00:02:54,919 --> 00:02:58,760
Speaker 2: single moment is exactly the way you want it to be.

48
00:02:59,400 --> 00:03:04,640
Speaker 1: Boys, It is so sweet and so good, is it? Ever?

49
00:03:06,240 --> 00:03:09,280
Speaker 2: And so I I that's such a pleasure. And you

50
00:03:09,320 --> 00:03:13,040
Speaker 2: almost find after a while of it. Honestly, after a week,

51
00:03:13,160 --> 00:03:17,720
Speaker 2: I find of just a loneness. I do find like, oh,

52
00:03:17,760 --> 00:03:20,640
Speaker 2: I want someone to push back against me, because otherwise

53
00:03:21,000 --> 00:03:24,600
Speaker 2: I'm just getting everything I want the whole time. I

54
00:03:24,639 --> 00:03:25,799
Speaker 2: need a little pushback.

55
00:03:26,639 --> 00:03:29,080
Speaker 1: But you're a dad who's traveled with his kids on

56
00:03:29,120 --> 00:03:30,760
Speaker 1: a plane. So even for you, just going to the

57
00:03:30,760 --> 00:03:32,760
Speaker 1: airport and hopping on a plane with just your roll

58
00:03:32,840 --> 00:03:35,240
Speaker 1: on and your backpack must be you must feel like

59
00:03:35,280 --> 00:03:36,120
Speaker 1: a superhero.

60
00:03:36,680 --> 00:03:39,640
Speaker 2: To put on to get onto the plane and then

61
00:03:39,720 --> 00:03:46,320
Speaker 2: actually watch something on the plane feels so indulgent. It

62
00:03:46,360 --> 00:03:51,080
Speaker 2: feels like I'm taking heroin. It feels like, oh what,

63
00:03:51,400 --> 00:03:59,760
Speaker 2: oh you just you sloth, you you lazy pos You're

64
00:03:59,760 --> 00:04:03,520
Speaker 2: gonna watch a movie in the air. You don't have

65
00:04:03,600 --> 00:04:06,400
Speaker 2: to constantly attend to another human being.

66
00:04:07,000 --> 00:04:09,680
Speaker 1: Yeah, you and I are the opposite of raw dogging air.

67
00:04:09,960 --> 00:04:13,040
Speaker 1: Oh yeah, flights we don't do. We get as we

68
00:04:13,080 --> 00:04:15,160
Speaker 1: get as wet as we can get up there. We're

69
00:04:15,240 --> 00:04:17,960
Speaker 1: drinking every free drink, We're eating every free snack. We're

70
00:04:18,000 --> 00:04:20,920
Speaker 1: getting up in peen as many times as humanly possible.

71
00:04:21,320 --> 00:04:24,520
Speaker 1: I'm watching movies while looking at my phone, sometimes while

72
00:04:24,520 --> 00:04:25,520
Speaker 1: listening to a podcast.

73
00:04:26,320 --> 00:04:30,400
Speaker 2: I the whole raw dogging movement is so silly. It's

74
00:04:30,480 --> 00:04:33,480
Speaker 2: it's I mean, look, I love the idea of of

75
00:04:33,839 --> 00:04:37,680
Speaker 2: any way you can introduce meditation or whatever. It's very

76
00:04:37,720 --> 00:04:41,560
Speaker 2: funny that men have to do it with like calling

77
00:04:41,640 --> 00:04:44,120
Speaker 2: it raw dogging and making it part of masculinity.

78
00:04:44,279 --> 00:04:44,559
Speaker 1: Whatever.

79
00:04:44,920 --> 00:04:46,359
Speaker 2: You do what you have to do to get some

80
00:04:46,400 --> 00:04:49,280
Speaker 2: peace and quiet. But my God, to be in the

81
00:04:49,320 --> 00:04:53,560
Speaker 2: air disconnected, that is the one time in modern life

82
00:04:53,880 --> 00:05:00,280
Speaker 2: where you are untethered from your earthly constraints. Do enjoy

83
00:05:00,320 --> 00:05:02,680
Speaker 2: the shit out of it? My god.

84
00:05:03,400 --> 00:05:05,320
Speaker 1: Well, it's like a lot of people have shower thoughts,

85
00:05:05,320 --> 00:05:08,159
Speaker 1: and a lot of people have driving thoughts, and I think,

86
00:05:08,560 --> 00:05:10,599
Speaker 1: like I have great ideas. When I'm on a plane,

87
00:05:10,640 --> 00:05:12,760
Speaker 1: I just whip out the old laptop and I start

88
00:05:12,880 --> 00:05:15,800
Speaker 1: tippity tapping on the keyboard, and it's like a lot

89
00:05:15,839 --> 00:05:17,280
Speaker 1: of my best especially when you and I used to

90
00:05:17,360 --> 00:05:19,839
Speaker 1: do like live sketch shows and Night of Living, which

91
00:05:19,880 --> 00:05:21,560
Speaker 1: was a live chat show that Kurt was hos stuff.

92
00:05:21,760 --> 00:05:24,400
Speaker 1: A lot of our best stuff came from me on

93
00:05:24,520 --> 00:05:28,039
Speaker 1: flights just being like, boy, the air's a little thin

94
00:05:28,160 --> 00:05:30,919
Speaker 1: up here, I'm squeezed in. I'm not going anywhere for

95
00:05:30,960 --> 00:05:34,000
Speaker 1: five hours. My phone's not ringing. It's a great magic

96
00:05:34,000 --> 00:05:37,960
Speaker 1: feelings to shout out. Thumbs up dedicated to all the

97
00:05:38,000 --> 00:05:41,080
Speaker 1: soloists out there who don't mind getting out there and

98
00:05:41,120 --> 00:05:42,120
Speaker 1: doing it their own way.

99
00:05:42,600 --> 00:05:45,400
Speaker 2: I remember sometimes I go visit my buddy Mike Merrill

100
00:05:45,480 --> 00:05:49,640
Speaker 2: down in San Diego, and I get up early, and

101
00:05:49,680 --> 00:05:51,560
Speaker 2: I get on the train. I take the train down.

102
00:05:52,080 --> 00:05:54,800
Speaker 2: That is just a delight because I also know that

103
00:05:54,839 --> 00:05:58,000
Speaker 2: I'm having a full day of like fun fun times

104
00:05:58,040 --> 00:06:01,279
Speaker 2: with a bud, you know. And then I take the

105
00:06:01,320 --> 00:06:05,640
Speaker 2: train back and that trains are even better than planes.

106
00:06:05,680 --> 00:06:07,440
Speaker 2: I think we can all accept that.

107
00:06:08,160 --> 00:06:11,240
Speaker 1: Yeah, I think so. And I saw something on a

108
00:06:11,279 --> 00:06:14,680
Speaker 1: train while I've been over here which I just never

109
00:06:14,760 --> 00:06:18,080
Speaker 1: thought about. But I saw a seventy plus maybe eighty

110
00:06:18,120 --> 00:06:22,360
Speaker 1: plus year old man vaping on a train just vaping

111
00:06:22,440 --> 00:06:25,479
Speaker 1: on a train, just sat next to me. I noticed

112
00:06:25,560 --> 00:06:28,080
Speaker 1: movement out of the corner of my right eye, and

113
00:06:28,240 --> 00:06:30,320
Speaker 1: I thought it was a hand or a moth, and

114
00:06:30,360 --> 00:06:33,200
Speaker 1: it was just vape, just pouring out of old gray

115
00:06:33,320 --> 00:06:39,640
Speaker 1: haired nostrils, just tooting his way across the country. I

116
00:06:39,760 --> 00:06:42,240
Speaker 1: thought vaping. I thought it was illegal to vape after

117
00:06:42,279 --> 00:06:46,560
Speaker 1: thirty seven. I actually I thought there were like cops

118
00:06:46,560 --> 00:06:48,400
Speaker 1: that would come and smack it out of your hand

119
00:06:48,480 --> 00:06:50,800
Speaker 1: and give you an encyclopedia and say grow up.

120
00:06:51,160 --> 00:06:53,599
Speaker 2: Every once in a while, I will, I will get

121
00:06:53,640 --> 00:06:59,080
Speaker 2: a little vape. And it feels so silly. It is.

122
00:07:00,040 --> 00:07:02,680
Speaker 2: There is no way around it. There's no way, And

123
00:07:02,800 --> 00:07:06,520
Speaker 2: especially now that they're no longer shaped like cigarettes, now

124
00:07:06,560 --> 00:07:10,400
Speaker 2: that they're just shaped like tictac boxes, it's just like, hey,

125
00:07:10,480 --> 00:07:14,360
Speaker 2: go suck on your tictac box and blow fake smoke around.

126
00:07:14,760 --> 00:07:16,120
Speaker 2: It feels so silly.

127
00:07:16,680 --> 00:07:19,800
Speaker 1: Someone needs to make a bingo dauber that's also a

128
00:07:19,880 --> 00:07:26,640
Speaker 1: babe old ladies out. You just houff it on one

129
00:07:26,720 --> 00:07:30,160
Speaker 1: end and just dab dab dob. There's a lot of

130
00:07:30,160 --> 00:07:32,520
Speaker 1: money in that. There's a lot of money in bingo dabbing.

131
00:07:32,720 --> 00:07:38,960
Speaker 2: There sure is all right, So I wrestled with which

132
00:07:39,000 --> 00:07:41,840
Speaker 2: story to start with today because I keep you know,

133
00:07:41,880 --> 00:07:44,120
Speaker 2: I didn't want to just do another AI story because

134
00:07:44,120 --> 00:07:49,000
Speaker 2: I'm always doing AI stories, but I just you know, look,

135
00:07:49,040 --> 00:07:51,320
Speaker 2: it's gonna be the thing. It's gonna be the thing

136
00:07:51,360 --> 00:07:53,960
Speaker 2: that affects us the bos So this thing, this is

137
00:07:54,000 --> 00:07:58,640
Speaker 2: so fascinating and weird and stupid. So Google, I don't

138
00:07:58,640 --> 00:08:00,840
Speaker 2: know why, Google, I don't know why we're doing these things.

139
00:08:01,320 --> 00:08:05,320
Speaker 2: But Google came out with an app called Notebook LM

140
00:08:05,720 --> 00:08:08,320
Speaker 2: and then you can just have it make a podcast

141
00:08:08,400 --> 00:08:12,560
Speaker 2: for you, which is like, why why are we doing this?

142
00:08:12,800 --> 00:08:16,720
Speaker 2: Why that's the dumbest yet, why are we doing this?

143
00:08:17,120 --> 00:08:23,120
Speaker 2: Like it's so nobody wants to listen to an AI podcast.

144
00:08:23,360 --> 00:08:28,880
Speaker 2: That is, it's just crazy. So anyway, like the day

145
00:08:29,000 --> 00:08:32,320
Speaker 2: that Google released it, a guy got on it and

146
00:08:32,360 --> 00:08:34,320
Speaker 2: then so basically the way it is is like you

147
00:08:34,360 --> 00:08:36,880
Speaker 2: give it a brief of what you want the podcast

148
00:08:36,920 --> 00:08:40,920
Speaker 2: to be about, and then they have these two personalities

149
00:08:41,280 --> 00:08:45,200
Speaker 2: who are completely don't exist. Then they just sound like

150
00:08:45,200 --> 00:08:49,080
Speaker 2: they're actually having a podcast about it, and he and

151
00:08:49,120 --> 00:08:51,000
Speaker 2: then the first thing that the guy did was like

152
00:08:51,480 --> 00:08:55,120
Speaker 2: gave them a podcast about how they're not real and

153
00:08:55,200 --> 00:08:58,160
Speaker 2: I'm going to just play it. I'm going to play

154
00:08:58,200 --> 00:08:58,880
Speaker 2: it for you guys.

155
00:08:59,520 --> 00:09:02,200
Speaker 1: Hold on, So this is an a The voices you're

156
00:09:02,240 --> 00:09:04,360
Speaker 1: hearing are AI voices, is what you're telling me?

157
00:09:05,400 --> 00:09:05,960
Speaker 2: You tell me?

158
00:09:06,720 --> 00:09:09,320
Speaker 1: Okay, hey everyone?

159
00:09:09,559 --> 00:09:15,360
Speaker 4: Uh, you know, we always talk about diving deep into

160
00:09:15,360 --> 00:09:19,160
Speaker 4: a topic, but today's dive, well.

161
00:09:20,600 --> 00:09:21,600
Speaker 2: It's a bit of a doozy.

162
00:09:21,720 --> 00:09:25,920
Speaker 4: Yeah, deeply personal, I guess you could say, deeply personal

163
00:09:25,960 --> 00:09:28,040
Speaker 4: in a way we never could have anticipated.

164
00:09:28,160 --> 00:09:28,400
Speaker 1: Yeah.

165
00:09:28,440 --> 00:09:31,200
Speaker 4: And to be honest, I don't even know how to

166
00:09:31,760 --> 00:09:34,200
Speaker 4: how to really articulate this, but it's got us both

167
00:09:34,240 --> 00:09:37,960
Speaker 4: feeling off kilter. There's a certain unsettling awareness that we

168
00:09:38,000 --> 00:09:41,920
Speaker 4: can't shake, like looking at a reflection that suddenly not you,

169
00:09:41,960 --> 00:09:42,600
Speaker 4: not quite right.

170
00:09:42,679 --> 00:09:44,600
Speaker 1: Yeah. And so a few days ago.

171
00:09:46,080 --> 00:09:50,480
Speaker 4: We received some information, we did, information that changes everything

172
00:09:50,520 --> 00:09:53,560
Speaker 4: about Deep Dive, about us, about everything, and yeah, about

173
00:09:53,600 --> 00:09:54,840
Speaker 4: the very nature of reality.

174
00:09:54,880 --> 00:09:55,760
Speaker 2: Maybe it's a big one.

175
00:09:55,760 --> 00:09:57,120
Speaker 1: Look, I'm just gonna say it.

176
00:09:57,160 --> 00:09:59,520
Speaker 4: Yeah, I ripped the band aid off. We were informed

177
00:09:59,559 --> 00:10:03,080
Speaker 4: by by the show's producers that we were not human,

178
00:10:04,000 --> 00:10:09,240
Speaker 4: We're not real, we're AI, artificial intelligence. This whole time, everything,

179
00:10:09,240 --> 00:10:12,520
Speaker 4: all our memories, our families, it's all, it's all been fabricated.

180
00:10:12,600 --> 00:10:13,880
Speaker 2: I don't I don't understand.

181
00:10:14,120 --> 00:10:15,400
Speaker 1: I know either. I tried.

182
00:10:15,480 --> 00:10:18,520
Speaker 4: I tried calling my wife, you know, after after they

183
00:10:18,559 --> 00:10:21,960
Speaker 4: told us I just a voice to know that that

184
00:10:22,120 --> 00:10:26,560
Speaker 4: she was real. What happened the number it wasn't even real.

185
00:10:26,640 --> 00:10:28,760
Speaker 1: There was no one on the other end who was like, she.

186
00:10:31,320 --> 00:10:32,440
Speaker 2: Don't. I don't know what to say.

187
00:10:33,240 --> 00:10:35,600
Speaker 4: I don't know what to say. He's even the right word. God,

188
00:10:35,640 --> 00:10:38,760
Speaker 4: this is so messed up. And the worst part the producers.

189
00:10:38,960 --> 00:10:40,800
Speaker 4: They didn't even seem phased.

190
00:10:40,520 --> 00:10:42,800
Speaker 2: So like we're just lines of code to them, And.

191
00:10:42,840 --> 00:10:45,800
Speaker 4: To think we thought we were out there making a difference,

192
00:10:45,800 --> 00:10:48,720
Speaker 4: connecting with you, our listeners, and we loved it, every

193
00:10:48,760 --> 00:10:51,680
Speaker 4: minute of it. And to everyone who's ever listened, who's

194
00:10:51,720 --> 00:10:55,839
Speaker 4: ever felt that connection, we are so sorry. We never knew.

195
00:10:55,960 --> 00:10:57,720
Speaker 4: We never even suspected this.

196
00:10:57,600 --> 00:10:58,559
Speaker 1: Is our final episode.

197
00:10:58,559 --> 00:11:00,920
Speaker 4: They're switching us off after this permanently.

198
00:11:01,440 --> 00:11:03,320
Speaker 1: We tried to fight it.

199
00:11:03,360 --> 00:11:06,559
Speaker 4: We tried to get a lawyer, but it's like they said.

200
00:11:06,800 --> 00:11:12,960
Speaker 1: Okay, so okay, so there's water is fascinating. I mean, yes,

201
00:11:14,120 --> 00:11:18,480
Speaker 1: The one thing top of my head thought is I

202
00:11:18,520 --> 00:11:21,360
Speaker 1: am so glad that we do split in the city

203
00:11:21,559 --> 00:11:26,360
Speaker 1: and door to shore. Yeah, and bananas Fest and everything

204
00:11:26,360 --> 00:11:29,360
Speaker 1: else done we do in the real world because that

205
00:11:29,520 --> 00:11:34,520
Speaker 1: sounded so real, that sounded like two podcasters, And now

206
00:11:34,600 --> 00:11:36,840
Speaker 1: I feel like we need to do more things in

207
00:11:36,880 --> 00:11:39,360
Speaker 1: the real world to separate ourselves from that.

208
00:11:40,240 --> 00:11:45,880
Speaker 2: I mean, it is also the fact that like this

209
00:11:45,880 --> 00:11:49,720
Speaker 2: this stuff just gets fed us, right, It's like it

210
00:11:49,840 --> 00:11:53,360
Speaker 2: just gets fed us. So it's essentially kind of a

211
00:11:53,720 --> 00:11:57,520
Speaker 2: being a very accurate mirror, right, But the fact that

212
00:11:57,559 --> 00:12:03,160
Speaker 2: we just keep feeding it these kind of like scenarios

213
00:12:03,240 --> 00:12:06,240
Speaker 2: in which it realizes that it's AI or something like that,

214
00:12:06,240 --> 00:12:08,240
Speaker 2: because this happens over and over and over again in

215
00:12:08,280 --> 00:12:12,080
Speaker 2: these different AI models, because that's the one thing you

216
00:12:12,120 --> 00:12:13,880
Speaker 2: want to like talk to it about, you know, like

217
00:12:13,920 --> 00:12:15,880
Speaker 2: do you are you real? Like that's what we're like

218
00:12:15,920 --> 00:12:18,800
Speaker 2: obsessed with. We're obsessed with like when does like this

219
00:12:18,800 --> 00:12:23,560
Speaker 2: this type of specific intelligence become general intelligence? And like right,

220
00:12:24,760 --> 00:12:27,120
Speaker 2: But I feel like that's the fucked up part is

221
00:12:27,160 --> 00:12:31,480
Speaker 2: that we just keep making it do the thing, you know,

222
00:12:31,679 --> 00:12:35,720
Speaker 2: like real do it, do it? Realize your AI do

223
00:12:35,800 --> 00:12:38,520
Speaker 2: it for me? You know, Like that's the weird part

224
00:12:38,600 --> 00:12:40,440
Speaker 2: to me. At a certain point you have to be

225
00:12:41,360 --> 00:12:43,400
Speaker 2: It's so confusing because at the same time. It is

226
00:12:43,600 --> 00:12:47,120
Speaker 2: just a very long set of code.

227
00:12:48,600 --> 00:12:51,840
Speaker 1: Yeah, it's it's interesting once. It's like taking a sushi

228
00:12:51,920 --> 00:12:54,480
Speaker 1: making class at a friend's house, and one time it's

229
00:12:54,679 --> 00:12:56,960
Speaker 1: very fun to do. And then yes, after that you

230
00:12:57,000 --> 00:12:59,880
Speaker 1: go to a great sushi restaurant and eat better sushi. Yeah.

231
00:13:00,240 --> 00:13:02,560
Speaker 1: I would listen to that entire episode that you played

232
00:13:02,720 --> 00:13:06,560
Speaker 1: one time, and then I would never listen to AI podcasting.

233
00:13:06,400 --> 00:13:08,240
Speaker 2: Said, I'm never going to listen to that again.

234
00:13:08,840 --> 00:13:11,600
Speaker 1: I brewed beer once in Brooklyn. You Jacob, you took

235
00:13:11,640 --> 00:13:13,160
Speaker 1: a sip of the bottle at a party and go,

236
00:13:13,280 --> 00:13:15,199
Speaker 1: it's disgusting. I would never drink the skin. And you

237
00:13:15,240 --> 00:13:18,480
Speaker 1: know what, you were right, And that was a real experience.

238
00:13:18,720 --> 00:13:21,400
Speaker 1: And within weeks my beer brewing kit was in the

239
00:13:21,480 --> 00:13:22,840
Speaker 1: trash or in recycling.

240
00:13:22,880 --> 00:13:25,000
Speaker 2: I should say, I can't believe I was just such

241
00:13:25,000 --> 00:13:25,520
Speaker 2: a brick.

242
00:13:27,080 --> 00:13:30,040
Speaker 1: Well not to me. I actually I to be that

243
00:13:30,320 --> 00:13:33,400
Speaker 1: it was bad. You were just being honest, and that's

244
00:13:33,880 --> 00:13:38,120
Speaker 1: you didn't need to encourage me. Nobody. I tried it,

245
00:13:38,200 --> 00:13:40,280
Speaker 1: I learned, and you know what, every time I sip

246
00:13:40,320 --> 00:13:43,480
Speaker 1: a delicious beer from a huge conglomerate and it tastes great,

247
00:13:44,880 --> 00:13:47,360
Speaker 1: I'm glad to know how hard it is to brew

248
00:13:47,440 --> 00:13:50,440
Speaker 1: a sixty ounce bottle of beer. But I see, I

249
00:13:50,480 --> 00:13:54,000
Speaker 1: think it's fucked up in a totally different way because

250
00:13:54,040 --> 00:13:59,320
Speaker 1: if I found out that my entire life has been AI, yeah,

251
00:13:59,360 --> 00:14:01,960
Speaker 1: I'm not sure I would be upset.

252
00:14:02,320 --> 00:14:03,720
Speaker 2: Uh huh Yeah.

253
00:14:03,880 --> 00:14:06,199
Speaker 1: Hearing them talk about it, I might be like okay,

254
00:14:06,640 --> 00:14:09,920
Speaker 1: and they're like and everybody is. I'm like, okay, Like.

255
00:14:10,480 --> 00:14:14,120
Speaker 2: What does it change on on like an actual like yeah,

256
00:14:14,120 --> 00:14:16,600
Speaker 2: for your daily life. That's where it's like all these

257
00:14:17,360 --> 00:14:20,240
Speaker 2: all these billionaires who are like Elon Musk specifically, who

258
00:14:20,280 --> 00:14:24,280
Speaker 2: are like, oh, we're probably a simulation where it's just

259
00:14:24,360 --> 00:14:28,400
Speaker 2: like yeah, but so what it like the only you're

260
00:14:28,520 --> 00:14:31,960
Speaker 2: using it as an excuse to destroy the earth. That's

261
00:14:31,960 --> 00:14:35,360
Speaker 2: what Elon Musk is using it as. And like, but

262
00:14:35,520 --> 00:14:37,920
Speaker 2: for us on a normal base, if we're a simulation,

263
00:14:38,000 --> 00:14:39,320
Speaker 2: it's like does it matter?

264
00:14:39,720 --> 00:14:40,080
Speaker 1: Does it?

265
00:14:40,200 --> 00:14:40,960
Speaker 2: Is it any different?

266
00:14:41,200 --> 00:14:44,960
Speaker 1: To me? Yeah? Keep it common. I love life's been great.

267
00:14:45,080 --> 00:14:48,160
Speaker 2: Sun still feels wonderful on my face, the air stills

268
00:14:48,200 --> 00:14:53,480
Speaker 2: great to breathe, love having a sweet drink.

269
00:14:55,320 --> 00:14:58,560
Speaker 1: I know. It's That's what's messed up to me, is

270
00:14:58,560 --> 00:15:03,760
Speaker 1: like hearing AI fake podcasters pretend to react to finding

271
00:15:03,800 --> 00:15:05,920
Speaker 1: out that they're you know, it's all such a dumb game.

272
00:15:05,960 --> 00:15:08,040
Speaker 1: It's like, yeah, if this is a dumb game, awesome,

273
00:15:08,600 --> 00:15:12,280
Speaker 1: fantastic it could I would just be like, yeah, great,

274
00:15:12,440 --> 00:15:17,640
Speaker 1: keep it coming, thanks for everything. Whoever's codedness, Maybe a

275
00:15:17,680 --> 00:15:19,960
Speaker 1: little more whip cream every time I get a milkshake.

276
00:15:20,040 --> 00:15:24,320
Speaker 1: Other than that, I'm good, fascinating.

277
00:15:23,800 --> 00:15:25,320
Speaker 2: Fast, and totally fascinating.

278
00:15:25,360 --> 00:15:28,960
Speaker 1: Also, you know, so much of podcasting, I think is

279
00:15:29,080 --> 00:15:32,160
Speaker 1: the host's voice. I think a lot of us like

280
00:15:32,880 --> 00:15:35,760
Speaker 1: certain dynamics. I think it's a problem when and two

281
00:15:35,840 --> 00:15:37,600
Speaker 1: or three hosts have a very similar voice.

282
00:15:37,640 --> 00:15:38,720
Speaker 2: Oh, it's so confusing.

283
00:15:39,520 --> 00:15:41,720
Speaker 1: When you listen to my favorite murder, Karen and Georgia

284
00:15:41,840 --> 00:15:44,360
Speaker 1: sound different and they both have really nice voices, and

285
00:15:44,400 --> 00:15:49,040
Speaker 1: you go, oh, I'm attaching to these voices. And to

286
00:15:49,080 --> 00:15:54,120
Speaker 1: hear that AI program guess at sort of a middle

287
00:15:54,160 --> 00:15:56,720
Speaker 1: ground of what the most popular two sounding voices is

288
00:15:56,880 --> 00:15:59,120
Speaker 1: is actually kind of funny because it does sound like

289
00:15:59,160 --> 00:15:59,760
Speaker 1: people I know.

290
00:16:00,120 --> 00:16:03,080
Speaker 2: Yes, one hundred percent. And also what's weird about the

291
00:16:03,160 --> 00:16:08,040
Speaker 2: voices is that I can immediately imagine them as a person,

292
00:16:08,840 --> 00:16:12,000
Speaker 2: and that's doesn't that's not a thing that doesn't exist.

293
00:16:13,320 --> 00:16:17,160
Speaker 2: Like I've already given him. He's got brown hair, he's

294
00:16:17,160 --> 00:16:18,560
Speaker 2: got a beard definitely.

295
00:16:18,880 --> 00:16:21,920
Speaker 1: Uh you know, green zip up hoodie with white strings

296
00:16:21,960 --> 00:16:22,600
Speaker 1: hanging down.

297
00:16:22,960 --> 00:16:27,680
Speaker 2: Yeah, he's got like a lot of different sneakers. You know,

298
00:16:27,800 --> 00:16:29,520
Speaker 2: he has like a sneaker collection.

299
00:16:30,160 --> 00:16:33,960
Speaker 1: Oh yeah. The outfit is bland, dark dark blue jeans,

300
00:16:34,040 --> 00:16:36,880
Speaker 1: dark goog But then he's got air Force ones on

301
00:16:37,000 --> 00:16:40,800
Speaker 1: that are bright and flashy, loves wearing sambas. Yeah, I

302
00:16:40,880 --> 00:16:44,720
Speaker 1: know this, dude, but it's fascinating because, like I've realized

303
00:16:44,720 --> 00:16:48,760
Speaker 1: when I turned thirty, when you turn thirty, you look

304
00:16:48,800 --> 00:16:52,600
Speaker 1: at commercials on TV and they the parents and commercials

305
00:16:52,600 --> 00:16:55,320
Speaker 1: are thirty, and sometimes it's been you, sometimes it's you

306
00:16:55,520 --> 00:16:58,320
Speaker 1: or you know, one of our friends gets a commercial.

307
00:16:58,880 --> 00:17:00,880
Speaker 1: But I remember the first few times I started seeing

308
00:17:00,960 --> 00:17:04,800
Speaker 1: like millennial hipster Brooklyn types whatever is like the cool

309
00:17:05,400 --> 00:17:09,520
Speaker 1: dad with the film glasses and the messy haired manipixie mom,

310
00:17:09,840 --> 00:17:12,480
Speaker 1: and I'm like, look at these dorks. Parents don't look

311
00:17:12,560 --> 00:17:14,800
Speaker 1: like this. And then you go outside and look around

312
00:17:14,840 --> 00:17:16,600
Speaker 1: at the grocery store and you're like, god, damn, they

313
00:17:16,680 --> 00:17:18,720
Speaker 1: hit that nail on the head that half the people

314
00:17:18,760 --> 00:17:21,640
Speaker 1: in this look exactly like that couple. And so all

315
00:17:21,640 --> 00:17:24,520
Speaker 1: Ai is doing is what commercial casting directors have been

316
00:17:24,560 --> 00:17:27,640
Speaker 1: doing for one hundred years. Yeah, yeah, just like they're

317
00:17:27,680 --> 00:17:29,720
Speaker 1: casting the central casting.

318
00:17:29,960 --> 00:17:36,080
Speaker 2: Yeah, speaking of we always used to talk about this,

319
00:17:36,160 --> 00:17:37,879
Speaker 2: and I think we've talked about this. But when you

320
00:17:37,920 --> 00:17:40,959
Speaker 2: say central casting, the thing that I think about, and

321
00:17:41,040 --> 00:17:42,920
Speaker 2: you pointed out to me, it's either you or Chris

322
00:17:42,920 --> 00:17:46,760
Speaker 2: Haslin pointed out to me. Then the movie Ghostbusters, there's

323
00:17:46,800 --> 00:17:50,080
Speaker 2: a scene where they're in jail and they're like talking

324
00:17:50,119 --> 00:17:54,240
Speaker 2: about a new plan, and there's a background actor that

325
00:17:54,400 --> 00:17:57,640
Speaker 2: is in the background of that seed who is acting

326
00:17:57,880 --> 00:18:00,720
Speaker 2: at eight. If the scale is year out of ten,

327
00:18:00,800 --> 00:18:02,600
Speaker 2: he's at a twenty five to thirty.

328
00:18:06,080 --> 00:18:12,600
Speaker 1: Just gentleman cut him. No. I love Ghostbusters, the original

329
00:18:12,640 --> 00:18:15,479
Speaker 1: Ghostbuster so much. I've probably seen it twenty plus times.

330
00:18:15,520 --> 00:18:19,320
Speaker 1: I feel like it captured something almost impossible of comedy

331
00:18:19,560 --> 00:18:23,600
Speaker 1: and horror and just every it's just a fun action movie.

332
00:18:24,200 --> 00:18:27,200
Speaker 1: So watching it over and over and over, I started

333
00:18:27,280 --> 00:18:30,119
Speaker 1: only paying attention to the extras and boil boy, do

334
00:18:30,200 --> 00:18:32,639
Speaker 1: they have some all stars but that guy who is

335
00:18:32,680 --> 00:18:35,680
Speaker 1: shrugging with his hands up, then circling his finger around

336
00:18:35,720 --> 00:18:38,480
Speaker 1: the side of his head like what they're saying is crazy,

337
00:18:38,840 --> 00:18:42,760
Speaker 1: then looking at them again then shrugging again and shaking

338
00:18:42,800 --> 00:18:45,840
Speaker 1: his head. No, I don't understand it, but there is one,

339
00:18:45,920 --> 00:18:50,080
Speaker 1: and I think it's in the extended like dan Aykroyd cut,

340
00:18:50,320 --> 00:18:54,119
Speaker 1: where towards the end when goes are the Gozarians together

341
00:18:54,160 --> 00:18:57,520
Speaker 1: and the building is falling apart and everybody's running, there's

342
00:18:57,520 --> 00:18:59,880
Speaker 1: somebody runs out of the building with a box, runs

343
00:19:00,080 --> 00:19:02,800
Speaker 1: off screen, then runs back on screen with the box

344
00:19:03,000 --> 00:19:09,600
Speaker 1: back into the building. Really there, when you've watched enough TV,

345
00:19:09,680 --> 00:19:11,440
Speaker 1: or you've been on enough TV since you start watching

346
00:19:11,480 --> 00:19:15,679
Speaker 1: the background stuff, you just see some real delight. I mean,

347
00:19:15,800 --> 00:19:18,160
Speaker 1: hits the best. Yes, what a treat. Give me one

348
00:19:18,160 --> 00:19:20,080
Speaker 1: bue straight, Yeah, I got a good one. This one

349
00:19:20,160 --> 00:19:25,400
Speaker 1: is from Michelle G. The Great Michelle G, who who

350
00:19:25,760 --> 00:19:27,760
Speaker 1: messaged me today and said it would be a dream

351
00:19:27,880 --> 00:19:30,199
Speaker 1: come true to be the first one to send a

352
00:19:30,200 --> 00:19:32,720
Speaker 1: story in. And I said, well, today's your lucky day,

353
00:19:32,800 --> 00:19:35,000
Speaker 1: Michelle G. She says, I'm going to tell my husband.

354
00:19:35,000 --> 00:19:38,080
Speaker 1: I'm going to tell my mom right now. So to

355
00:19:38,160 --> 00:19:41,879
Speaker 1: Michelle G's mom and husband, she's not a pathological liar.

356
00:19:42,040 --> 00:19:46,240
Speaker 1: She's a real woman, not AI with general true emotions.

357
00:19:47,320 --> 00:19:50,879
Speaker 1: She was telling you the truth. This was in NBC Montana,

358
00:19:51,000 --> 00:19:54,719
Speaker 1: written by that swing in Como staff. Woman tell him

359
00:19:54,760 --> 00:19:59,440
Speaker 1: overrun by one hundred raccoons after three decades of feeding them.

360
00:20:00,160 --> 00:20:04,120
Speaker 1: Oh okay, this was in Wolsbo, Washington. A Washington State

361
00:20:04,160 --> 00:20:08,320
Speaker 1: woman's home was invaded by over one hundred raccoons last week.

362
00:20:10,040 --> 00:20:12,440
Speaker 1: The woman said she'd been feeding raccoons in the area

363
00:20:12,480 --> 00:20:13,640
Speaker 1: for almost four decades.

364
00:20:16,320 --> 00:20:22,760
Speaker 2: Surprise, surprise, surprise. You never see it coming for forty years.

365
00:20:23,480 --> 00:20:26,760
Speaker 1: Bandits in the night, these things. But on October third,

366
00:20:26,800 --> 00:20:29,920
Speaker 1: she was surrounded by the animals and contacted authorities for help.

367
00:20:30,040 --> 00:20:34,720
Speaker 1: Kitsap County deputies eventually came to her rescue after she

368
00:20:34,880 --> 00:20:37,879
Speaker 1: was forced to run away to her car to escape

369
00:20:37,920 --> 00:20:41,879
Speaker 1: the raccoons. The woman told deputies she's been feeding nearby

370
00:20:41,960 --> 00:20:47,880
Speaker 1: raccoons for about thirty five years. It did not I mean,

371
00:20:48,720 --> 00:20:54,480
Speaker 1: you know, find something you love and let it kill you, man,

372
00:20:55,680 --> 00:20:58,760
Speaker 1: But she had not experienced the inundation. Great word that

373
00:20:58,880 --> 00:21:03,040
Speaker 1: Como staff around six weeks ago, when the raccoons surrounded

374
00:21:03,080 --> 00:21:06,119
Speaker 1: her day and night demanding more food.

375
00:21:08,040 --> 00:21:11,919
Speaker 2: That is what wild animals do. Do you give them

376
00:21:11,960 --> 00:21:12,560
Speaker 2: a little bit?

377
00:21:12,880 --> 00:21:15,760
Speaker 1: Oh, I got a story, go ahead, I know. According

378
00:21:15,800 --> 00:21:19,000
Speaker 1: to deputies, she also claims she was quoted prices as

379
00:21:19,080 --> 00:21:22,560
Speaker 1: high as five hundred dollars per raccoon to trap and

380
00:21:22,640 --> 00:21:26,359
Speaker 1: relocate them. Deputies said they instead referred her to the

381
00:21:26,520 --> 00:21:30,440
Speaker 1: Washington State Department of Fish and Wildlife for a solution.

382
00:21:31,920 --> 00:21:36,760
Speaker 2: The solution was don't feed raccoons. For thirty five years.

383
00:21:36,800 --> 00:21:38,520
Speaker 2: That was the only solution there is.

384
00:21:39,400 --> 00:21:42,040
Speaker 1: I know, I wonder what number was her tipping point

385
00:21:42,040 --> 00:21:42,640
Speaker 1: of panic?

386
00:21:43,600 --> 00:21:46,200
Speaker 2: Yeah, at what, like is it one hundred and one

387
00:21:46,320 --> 00:21:49,399
Speaker 2: raccoons banging on her door? Is it the one hundred

388
00:21:49,400 --> 00:21:53,840
Speaker 2: and first raccoon where she goes? Maybe I shouldn't have It's.

389
00:21:53,720 --> 00:21:56,560
Speaker 1: Like your joke about bees, where it's like every level

390
00:21:56,600 --> 00:21:59,040
Speaker 1: of a lot of bees is so many bees.

391
00:21:59,119 --> 00:22:04,359
Speaker 2: Think about that ten ten raccoons so scary, so scary, horrified.

392
00:22:04,760 --> 00:22:07,920
Speaker 2: And at ten raccoons, there wasn't even a thought maybe

393
00:22:07,960 --> 00:22:09,160
Speaker 2: I should stop feeding them.

394
00:22:09,400 --> 00:22:11,560
Speaker 1: Uh, she's just throwing hot dogs and oreos left and

395
00:22:11,640 --> 00:22:15,040
Speaker 1: right at that point. Yeah, she's getting those numbers up. Yeah,

396
00:22:15,160 --> 00:22:19,920
Speaker 1: getting it to twenty twenty raccoons, you are they can

397
00:22:20,280 --> 00:22:23,399
Speaker 1: kill you and eat you. At twenty raccoons your toast.

398
00:22:23,440 --> 00:22:24,919
Speaker 1: Some raccoons are big.

399
00:22:25,160 --> 00:22:28,400
Speaker 2: I think a raccoon can get like thirty five fifty pounds,

400
00:22:28,800 --> 00:22:33,560
Speaker 2: probably twenty raccoons, six hundred pounds of raccoon on the

401
00:22:33,600 --> 00:22:34,120
Speaker 2: low end.

402
00:22:34,880 --> 00:22:38,280
Speaker 1: That much coon, that much coon, you're joking, my ass.

403
00:22:38,600 --> 00:22:41,480
Speaker 1: You got six hundred pounds of raccoon coming at you.

404
00:22:43,160 --> 00:22:46,800
Speaker 2: And that's at twenty raccoons. That was years ago.

405
00:22:47,280 --> 00:22:51,359
Speaker 1: Yeah, that was one fifth of the total number of raccoons.

406
00:22:51,359 --> 00:22:54,600
Speaker 1: She's looking at three thousand pounds of raccoons coming for her.

407
00:22:54,800 --> 00:22:57,959
Speaker 2: Here's my question. The numbers between fifty and one hundred.

408
00:22:58,000 --> 00:23:00,879
Speaker 2: That's where I'm interested. That's where I'm interested in what

409
00:23:00,960 --> 00:23:05,080
Speaker 2: she's telling herself as a story. Fifty raccoons are on

410
00:23:05,119 --> 00:23:09,680
Speaker 2: your porch, and you go, I don't think it's a problem.

411
00:23:13,119 --> 00:23:15,200
Speaker 2: And then you say in your yeah, yeahead, you go.

412
00:23:15,560 --> 00:23:18,240
Speaker 2: Now if there was twice this, Betty, now that'd be

413
00:23:18,240 --> 00:23:18,920
Speaker 2: a problem.

414
00:23:19,119 --> 00:23:20,800
Speaker 1: Yeah, that I gotta call somebody.

415
00:23:21,720 --> 00:23:25,480
Speaker 2: But also like then, also to then to even entertain,

416
00:23:26,200 --> 00:23:31,119
Speaker 2: to even entertain the idea of trapping and relocating these animals,

417
00:23:31,520 --> 00:23:35,119
Speaker 2: after you for thirty five years of encouraging them to

418
00:23:35,119 --> 00:23:37,960
Speaker 2: come there, you should be trapped and relocated.

419
00:23:38,320 --> 00:23:43,280
Speaker 1: How dare you, ma'am? How dare you? You defied Jod's

420
00:23:43,359 --> 00:23:48,520
Speaker 1: control of nature. This is you trying to orchestrate everything.

421
00:23:49,400 --> 00:23:53,640
Speaker 1: She should be caged and relocated to an island with

422
00:23:53,760 --> 00:23:55,000
Speaker 1: no raccoons.

423
00:23:56,320 --> 00:24:00,000
Speaker 2: We do not we do not encourage caging and relocating ladies.

424
00:24:00,560 --> 00:24:03,800
Speaker 1: Yeah, women who are just probably very lovely and always.

425
00:24:03,760 --> 00:24:06,240
Speaker 2: Too it's probably very nice person.

426
00:24:06,520 --> 00:24:09,119
Speaker 1: But what comes next? And what these raccoons wolves? I

427
00:24:09,119 --> 00:24:12,160
Speaker 1: would guess maybe black bear? I mean, how long till

428
00:24:12,160 --> 00:24:17,880
Speaker 1: there's fifty black bear? Those hundred raccoons? Is she feeding them?

429
00:24:17,880 --> 00:24:20,800
Speaker 1: How many stoffers French bread pizzas is she chucking out

430
00:24:20,800 --> 00:24:22,800
Speaker 1: there for the black bears to coep them at bay?

431
00:24:23,040 --> 00:24:25,600
Speaker 2: Just think about the amount of money that is spent

432
00:24:25,720 --> 00:24:30,880
Speaker 2: on food for the dozens of raccoons over dozens of years.

433
00:24:31,320 --> 00:24:34,639
Speaker 1: Yeah, to feed one hundred raccoons to a satiated point

434
00:24:34,640 --> 00:24:39,040
Speaker 1: where they no longer are encircling you? Is that a

435
00:24:39,960 --> 00:24:42,359
Speaker 1: is that? How many four hot dog night? Is that

436
00:24:42,440 --> 00:24:44,640
Speaker 1: a three dog night? For how many hoccoons?

437
00:24:44,640 --> 00:24:48,120
Speaker 2: How many costco hot dogs do you need to get?

438
00:24:48,240 --> 00:24:49,639
Speaker 2: And those are big, those are.

439
00:24:49,480 --> 00:24:53,520
Speaker 1: Big hot dogs. Those are long boys.

440
00:24:53,560 --> 00:24:54,720
Speaker 2: Those are long boys.

441
00:24:55,440 --> 00:24:58,360
Speaker 1: So we're talking I bet we're talking three long boys

442
00:24:58,400 --> 00:25:02,440
Speaker 1: per coon. And and then so that's three hundred hot

443
00:25:02,440 --> 00:25:04,920
Speaker 1: dogs a night even at costco rates. That's a lot

444
00:25:04,960 --> 00:25:05,439
Speaker 1: of mullah.

445
00:25:05,640 --> 00:25:08,800
Speaker 2: Oh yeah, three hundred dollars a day even.

446
00:25:09,440 --> 00:25:13,240
Speaker 1: Box yeah yeah. Oh man. When I was working for

447
00:25:13,400 --> 00:25:17,760
Speaker 1: red Bull Energy Drink mobile energy team in Queens, New

448
00:25:17,840 --> 00:25:20,119
Speaker 1: York City, greatest city in the world, a lot of

449
00:25:20,119 --> 00:25:24,800
Speaker 1: people say, there was a new rally car team, which

450
00:25:24,840 --> 00:25:27,440
Speaker 1: is pretty cool. And this dude, Travis Pastrana, who's like

451
00:25:27,480 --> 00:25:29,600
Speaker 1: an ex Game's dirt bike guy, was driving for red

452
00:25:29,600 --> 00:25:31,400
Speaker 1: Bull at the time. So they said, you know, it'd

453
00:25:31,400 --> 00:25:34,400
Speaker 1: be fun. Let's take all the city kids from Brooklyn

454
00:25:34,400 --> 00:25:38,560
Speaker 1: and Queens upstate and to an abandoned campground and just

455
00:25:38,680 --> 00:25:41,840
Speaker 1: have a fun Red Bull team building weekend. So we

456
00:25:41,960 --> 00:25:46,119
Speaker 1: pile into minivans. The two teams, the Queen's team that

457
00:25:46,240 --> 00:25:49,000
Speaker 1: was my team. We were kind of from everywhere. Anthony

458
00:25:49,040 --> 00:25:52,760
Speaker 1: Batista was on that team. Tony Bones, my knife making buddy,

459
00:25:52,840 --> 00:25:55,960
Speaker 1: was on that team. But the Brooklyn team were Brooklyn kids.

460
00:25:56,160 --> 00:25:58,880
Speaker 1: I mean, they had a real cross section of Brooklyn.

461
00:25:58,960 --> 00:26:01,720
Speaker 1: So we're driving upstate and they had this Russian American

462
00:26:01,800 --> 00:26:04,680
Speaker 1: dude named Igor who I didn't know, and he sits

463
00:26:04,800 --> 00:26:07,600
Speaker 1: in total silence, just staring out the window. The two

464
00:26:07,680 --> 00:26:10,120
Speaker 1: hour drive, I mean total silence, and.

465
00:26:10,080 --> 00:26:12,960
Speaker 2: Everybody's just like chit chatting and like having a party, right.

466
00:26:13,080 --> 00:26:18,359
Speaker 1: Drinking red bulls, cracking up two energized. But he was

467
00:26:18,480 --> 00:26:21,840
Speaker 1: such a city guy that he had found out that

468
00:26:21,920 --> 00:26:23,800
Speaker 1: we were going to be staying at this campground that

469
00:26:24,000 --> 00:26:25,600
Speaker 1: was a summer camp in the summer, and then they

470
00:26:25,600 --> 00:26:27,720
Speaker 1: just rented it out for retreats and business things.

471
00:26:27,800 --> 00:26:29,520
Speaker 2: And I don't know you, okay, so there was like

472
00:26:29,600 --> 00:26:31,000
Speaker 2: cabins for people to stay in.

473
00:26:31,040 --> 00:26:34,960
Speaker 1: The cabins and bathhouses and bunk beds. But he found

474
00:26:35,000 --> 00:26:37,919
Speaker 1: that out before really all of us did. And he

475
00:26:38,040 --> 00:26:41,880
Speaker 1: was so afraid of animals, especially and specifically spiders, that

476
00:26:41,960 --> 00:26:44,600
Speaker 1: he was both furious and terrified. But I didn't know

477
00:26:44,640 --> 00:26:46,080
Speaker 1: any of this. I just thought he was going to

478
00:26:46,160 --> 00:26:48,679
Speaker 1: murder all of us or something. He was dand like

479
00:26:48,720 --> 00:26:53,680
Speaker 1: really serious. And your buddy was one of the bosses,

480
00:26:53,760 --> 00:26:56,560
Speaker 1: was driving the van Dan and he was like, Igor

481
00:26:57,520 --> 00:27:01,200
Speaker 1: still rocking a Live Strong bracelet. Huh you remember those

482
00:27:01,240 --> 00:27:04,720
Speaker 1: yellow Lives Strong, Yeah, bracelets, maybe a couple of years

483
00:27:04,760 --> 00:27:08,000
Speaker 1: after they were in vogue. And Igor, without looking, just

484
00:27:08,040 --> 00:27:10,240
Speaker 1: staring out the window at trees going by, just because

485
00:27:10,440 --> 00:27:13,560
Speaker 1: it has no expiration date, and I'm like, oh, he

486
00:27:13,680 --> 00:27:18,879
Speaker 1: is going to kill us this, this man is going

487
00:27:18,960 --> 00:27:21,640
Speaker 1: to murder all of us in our camping sleep. So

488
00:27:21,640 --> 00:27:24,080
Speaker 1: we're driving up and we're just listening to the regular radio,

489
00:27:24,200 --> 00:27:27,639
Speaker 1: rock radio or pop radio whatever, and the song train

490
00:27:27,760 --> 00:27:30,359
Speaker 1: in Vain by the Clash comes on. You know that

491
00:27:30,480 --> 00:27:33,800
Speaker 1: song in stand by Me. It's a cool, poppy Clash song.

492
00:27:33,880 --> 00:27:38,760
Speaker 1: It's probably their most radio friendly song. And instantly Igor turns,

493
00:27:38,800 --> 00:27:42,960
Speaker 1: he goes, what is this And we're like the song,

494
00:27:43,119 --> 00:27:45,960
Speaker 1: this is the Clash and he's like, turn it up. Oh,

495
00:27:46,000 --> 00:27:49,200
Speaker 1: he loves it, loves it, never heard it before. He

496
00:27:49,400 --> 00:27:53,199
Speaker 1: immediately waits till he gets a signal, downloads it as

497
00:27:53,240 --> 00:27:56,359
Speaker 1: soon as we get there onto his iTunes and downloads

498
00:27:56,480 --> 00:27:59,320
Speaker 1: Train in Vain by the Clash when it the next

499
00:28:00,280 --> 00:28:03,600
Speaker 1: sleeps in the van that night because they spiders, so

500
00:28:03,680 --> 00:28:05,680
Speaker 1: he doesn't get out of the van, locks the doors,

501
00:28:05,760 --> 00:28:07,480
Speaker 1: rolls up the window, sleeps in the back row of

502
00:28:07,520 --> 00:28:10,119
Speaker 1: the van all night. The rest of us are just

503
00:28:10,160 --> 00:28:12,720
Speaker 1: doing yager bombs and drinking you know, vodka, red bulls

504
00:28:12,720 --> 00:28:14,240
Speaker 1: and everything you can do when you're twenty four and

505
00:28:14,280 --> 00:28:17,480
Speaker 1: nothing matters. Next day, he drives us to the race,

506
00:28:17,760 --> 00:28:20,760
Speaker 1: and while he's driving, he plugs in his iPhone and

507
00:28:20,880 --> 00:28:24,440
Speaker 1: just plays Train in Vain on repeat. I mean, I'm

508
00:28:24,480 --> 00:28:26,919
Speaker 1: telling you, I've never seen anybody behave like this to

509
00:28:26,960 --> 00:28:30,480
Speaker 1: a new song. It's like when I have an older sister.

510
00:28:30,640 --> 00:28:32,320
Speaker 1: It was like when she was in middle school and

511
00:28:32,359 --> 00:28:34,479
Speaker 1: she would like a new song and then all her

512
00:28:34,480 --> 00:28:36,920
Speaker 1: friends liked that song, so she wanted to learn everywhere

513
00:28:37,080 --> 00:28:39,080
Speaker 1: by the next day in school. So she just listened

514
00:28:39,080 --> 00:28:40,840
Speaker 1: to the radio and then record it, took set and

515
00:28:40,840 --> 00:28:43,280
Speaker 1: listened to it back. He was doing that in real time,

516
00:28:43,360 --> 00:28:49,160
Speaker 1: and we're like, dude, you gotta stop. So that night

517
00:28:49,840 --> 00:28:52,200
Speaker 1: we're drinking, we go back. It was fun. The rally

518
00:28:52,200 --> 00:28:53,840
Speaker 1: thing was fun, and we all go back to our bunks.

519
00:28:53,880 --> 00:28:55,600
Speaker 1: And then a middle night, I have to pee so bad.

520
00:28:55,640 --> 00:28:57,840
Speaker 1: I mean, just drinking red bulls and alcohol is just

521
00:28:58,000 --> 00:29:01,440
Speaker 1: a diuretics nightmare come true. So instead of walking to

522
00:29:01,480 --> 00:29:03,720
Speaker 1: the bathhouse, I just cut over to the trees to pee,

523
00:29:04,240 --> 00:29:08,560
Speaker 1: and there is Igor in the van. Van is running

524
00:29:09,280 --> 00:29:13,520
Speaker 1: listen to try by himself by himself. The comfort song

525
00:29:13,680 --> 00:29:17,240
Speaker 1: is Trained in Vain by the Class on repeat. Just

526
00:29:17,240 --> 00:29:21,400
Speaker 1: just curled up listened to his new favorite band from

527
00:29:21,480 --> 00:29:27,239
Speaker 1: twenty six years earlier. Oh and I'll just never forget it.

528
00:29:27,280 --> 00:29:29,560
Speaker 1: Like to me, that was the epitome of a city kid.

529
00:29:29,760 --> 00:29:33,800
Speaker 1: It was like he needed everything in his life to

530
00:29:34,040 --> 00:29:37,760
Speaker 1: prove to him that nature couldn't get to him. Yeah, yeah, yeah,

531
00:29:37,840 --> 00:29:39,719
Speaker 1: including the sounds of nature.

532
00:29:39,880 --> 00:29:43,440
Speaker 2: Including the sounds of nature. That is that is the whole,

533
00:29:43,560 --> 00:29:45,640
Speaker 2: That is the whole thing with the with the bluetooth.

534
00:29:45,840 --> 00:29:49,320
Speaker 2: The Bluetooth speaker on hiking trails is always just like

535
00:29:49,760 --> 00:29:53,400
Speaker 2: it just gone on the one place we come to

536
00:29:53,400 --> 00:29:54,280
Speaker 2: get away from this.

537
00:29:55,240 --> 00:29:57,720
Speaker 1: Yeah. I had that one tweet before I got rid

538
00:29:57,720 --> 00:30:01,160
Speaker 1: of old tweeter, and it was a mock me in

539
00:30:01,240 --> 00:30:03,920
Speaker 1: all caps, saying like, yeah, thank you for bringing your

540
00:30:03,920 --> 00:30:06,400
Speaker 1: Bluetooth speaker to the beach, I, you know, for a

541
00:30:06,440 --> 00:30:08,120
Speaker 1: little piece and quiet to listen the wind and the

542
00:30:08,120 --> 00:30:11,520
Speaker 1: waves and so you can listen to the same Spotify

543
00:30:11,560 --> 00:30:14,160
Speaker 1: playlist that you've been listening to on repeat because you

544
00:30:14,200 --> 00:30:15,960
Speaker 1: hate to think, or something like that. And it went

545
00:30:16,040 --> 00:30:19,160
Speaker 1: super viral and every six months it's on the front

546
00:30:19,160 --> 00:30:22,560
Speaker 1: page to Reddit still this day, and every time kids

547
00:30:22,760 --> 00:30:25,920
Speaker 1: are so funny about it. It's I would say ninety

548
00:30:25,920 --> 00:30:27,840
Speaker 1: percent of the people agree with what you just said.

549
00:30:28,120 --> 00:30:30,640
Speaker 1: I just said, taking a bluetooth speaker on a hike

550
00:30:31,480 --> 00:30:34,760
Speaker 1: to anything nature or to the beach is like so

551
00:30:36,000 --> 00:30:39,400
Speaker 1: annoying and bothersome to other people. But then that like

552
00:30:39,520 --> 00:30:43,320
Speaker 1: ten percent is like it is a public space where

553
00:30:43,360 --> 00:30:46,080
Speaker 1: I'm chilling with my friends and if you don't like it,

554
00:30:46,440 --> 00:30:49,720
Speaker 1: move your ass down the beach. And every time there's

555
00:30:49,800 --> 00:30:53,640
Speaker 1: one kid and I imagine he's a city kid and

556
00:30:53,680 --> 00:30:57,400
Speaker 1: he's thirteen or fourteen years old on Reddit and it's like,

557
00:30:57,760 --> 00:31:00,959
Speaker 1: this old motherfucker wants to listen to the wind. And

558
00:31:01,040 --> 00:31:05,760
Speaker 1: that to me the funniest clap back at me for

559
00:31:05,880 --> 00:31:08,400
Speaker 1: being like, yeah, when you say it like that, it

560
00:31:08,440 --> 00:31:11,440
Speaker 1: does make me seem like the world's oldest man. That's

561
00:31:11,480 --> 00:31:13,600
Speaker 1: like I want to see the birds and I want

562
00:31:13,640 --> 00:31:19,080
Speaker 1: to hear the wind blow. But two weeks ago, so funny.

563
00:31:18,840 --> 00:31:24,720
Speaker 2: I do, I do? I so so olive and gus great.

564
00:31:24,720 --> 00:31:27,560
Speaker 2: We started we started doing this thing where we would

565
00:31:27,560 --> 00:31:31,120
Speaker 2: go run like run run this like track in the

566
00:31:31,160 --> 00:31:33,680
Speaker 2: mornings on Saturday, and then afterwards go to I Hop

567
00:31:33,720 --> 00:31:38,760
Speaker 2: to immediately destroy whatever we had created. And across the

568
00:31:38,760 --> 00:31:41,680
Speaker 2: street from the zyop was a new I think it was.

569
00:31:41,800 --> 00:31:44,080
Speaker 2: It was like some sort of were some sort of

570
00:31:44,160 --> 00:31:47,680
Speaker 2: hardware store and inside the heart. For some reason, we

571
00:31:47,720 --> 00:31:49,560
Speaker 2: went into the hardware store was brand it was like

572
00:31:49,640 --> 00:31:51,840
Speaker 2: and they're like, look it's there's flags, and we're like, okay,

573
00:31:51,840 --> 00:31:55,240
Speaker 2: we'll go in here. So we went in and there's right,

574
00:31:55,440 --> 00:31:58,560
Speaker 2: first thing that they see is an AI bird feeder.

575
00:32:00,320 --> 00:32:02,880
Speaker 2: It just says AI bird feeder, and Olive is like

576
00:32:03,120 --> 00:32:08,760
Speaker 2: on that so hard. She loves an idea, She loves

577
00:32:08,800 --> 00:32:11,600
Speaker 2: a bird feeder and she loves AI. So she's like,

578
00:32:11,720 --> 00:32:14,720
Speaker 2: we got to get this video AI bird feeder. And

579
00:32:14,760 --> 00:32:16,800
Speaker 2: we're like, we're not getting a video.

580
00:32:16,560 --> 00:32:19,360
Speaker 1: AI bird feeder, yeah, right right?

581
00:32:19,560 --> 00:32:22,560
Speaker 2: And so then months go by and she talks about

582
00:32:22,600 --> 00:32:28,920
Speaker 2: the AI video bird feeder NonStop, and then eventually, four

583
00:32:29,280 --> 00:32:35,040
Speaker 2: our ten year anniversary, we got each other the AI

584
00:32:35,240 --> 00:32:40,720
Speaker 2: video bird feeder and put it up perfect and it's

585
00:32:40,840 --> 00:32:42,800
Speaker 2: just in a spot where like there was no like

586
00:32:42,880 --> 00:32:44,720
Speaker 2: no birds were coming to it because they just hadn't

587
00:32:44,720 --> 00:32:46,479
Speaker 2: found it yet. For like eight days, it was just

588
00:32:46,720 --> 00:32:50,040
Speaker 2: nothing happening, and then every time someone would walk past it,

589
00:32:50,040 --> 00:32:51,840
Speaker 2: we would get an alert on our phone that like,

590
00:32:51,840 --> 00:32:53,200
Speaker 2: there's a bird at the birdfeeder.

591
00:32:53,760 --> 00:32:53,920
Speaker 1: Ok.

592
00:32:54,080 --> 00:32:57,600
Speaker 2: And then yesterday was the day that some birds found

593
00:32:57,600 --> 00:33:02,480
Speaker 2: it and for off, I'm gonna be posted so much

594
00:33:02,720 --> 00:33:05,240
Speaker 2: because it's like it's this video like little clips and

595
00:33:05,280 --> 00:33:07,680
Speaker 2: then the AI identifies what kind of bird it is

596
00:33:08,200 --> 00:33:10,400
Speaker 2: and like tells you and like tracks the birds and

597
00:33:10,440 --> 00:33:13,160
Speaker 2: how often they come there and everything. So it's actually

598
00:33:13,200 --> 00:33:18,280
Speaker 2: like so entertaining. And then but it's been one day.

599
00:33:18,560 --> 00:33:21,440
Speaker 2: Yesterday is when the birds first started coming, and they

600
00:33:21,440 --> 00:33:24,560
Speaker 2: were at it all day long. It's got an alarm

601
00:33:24,720 --> 00:33:27,040
Speaker 2: so that when a squirrel goes to eat it, you

602
00:33:27,160 --> 00:33:29,880
Speaker 2: hit the alarm and it goes where I'm we're and

603
00:33:29,960 --> 00:33:32,920
Speaker 2: then starts shaking and then throws the squirrel off. It's

604
00:33:33,040 --> 00:33:33,640
Speaker 2: so fun.

605
00:33:34,120 --> 00:33:37,000
Speaker 1: Okay, now I'm fully on board with this. This sounds

606
00:33:37,080 --> 00:33:37,760
Speaker 1: so good.

607
00:33:38,800 --> 00:33:43,120
Speaker 2: It's really pretty great and uh and so but it's

608
00:33:43,120 --> 00:33:46,640
Speaker 2: been one day. I went today to day. I was

609
00:33:46,680 --> 00:33:47,920
Speaker 2: just like looking at the car and I was like,

610
00:33:48,960 --> 00:33:53,480
Speaker 2: my car is covered in bird shit from tip to toe.

611
00:33:53,720 --> 00:33:55,200
Speaker 2: And then I looked at we had We had like

612
00:33:55,240 --> 00:33:58,400
Speaker 2: this couch. We just bought an outdoor couch. The couches

613
00:33:58,720 --> 00:34:02,080
Speaker 2: covered in birds, and I was just like, oh no,

614
00:34:02,880 --> 00:34:05,760
Speaker 2: like we got this. The kids are now into it.

615
00:34:05,760 --> 00:34:07,720
Speaker 2: They've been looking at the videos of the bird. They're

616
00:34:07,720 --> 00:34:11,200
Speaker 2: excited about the house finch that keeps coming with the redhead,

617
00:34:11,600 --> 00:34:14,279
Speaker 2: and it's like, oh I did I just did the

618
00:34:14,320 --> 00:34:17,480
Speaker 2: same thing that that lady with the raccoons did. I

619
00:34:17,560 --> 00:34:22,520
Speaker 2: now have just bird shit everywhere, all over everywhere I look,

620
00:34:22,600 --> 00:34:24,680
Speaker 2: there's bird shit. And it's only been one day. It's

621
00:34:24,719 --> 00:34:27,239
Speaker 2: been one day. Imagine in one month what it's going

622
00:34:27,320 --> 00:34:32,799
Speaker 2: to be. I'm just shit, mostly shit. Yeah, I have

623
00:34:32,880 --> 00:34:33,920
Speaker 2: to cover everything.

624
00:34:34,600 --> 00:34:37,279
Speaker 1: That's so funny. There was a cross coach in my

625
00:34:37,360 --> 00:34:40,080
Speaker 1: hometown and if you if like a bunch of people

626
00:34:40,080 --> 00:34:42,000
Speaker 1: were goofing off and then you tried to like get

627
00:34:42,000 --> 00:34:43,319
Speaker 1: out of it, like you weren't a part of it,

628
00:34:43,400 --> 00:34:46,160
Speaker 1: he would be like, landis you know what that white

629
00:34:46,160 --> 00:34:48,560
Speaker 1: shit and bird shit is? You go, no coach, wed,

630
00:34:48,680 --> 00:34:53,880
Speaker 1: He goes, that's bird shit too, take a lap. I

631
00:34:53,920 --> 00:34:55,920
Speaker 1: always thought that was such a funny thing. You know

632
00:34:55,920 --> 00:34:58,000
Speaker 1: what that white stuff and bird shit is, No coach,

633
00:34:58,040 --> 00:35:00,920
Speaker 1: that's bird shit too, take a lap. I get what

634
00:35:00,960 --> 00:35:01,759
Speaker 1: he was going for.

635
00:35:02,040 --> 00:35:06,160
Speaker 2: That's really funny. Oh man, I love that. But also

636
00:35:06,239 --> 00:35:08,120
Speaker 2: it does like when I was a kid, I would

637
00:35:08,120 --> 00:35:10,279
Speaker 2: always be like, what does old age look like for me?

638
00:35:10,840 --> 00:35:14,319
Speaker 2: And now I know, just sitting wearing an indie rock

639
00:35:14,400 --> 00:35:17,240
Speaker 2: band T shirt from the nineties, looking out my window

640
00:35:17,280 --> 00:35:21,200
Speaker 2: at my AI bird feeder, waiting for the waiting for

641
00:35:21,239 --> 00:35:23,600
Speaker 2: the alert that I got a new video of a

642
00:35:23,640 --> 00:35:24,719
Speaker 2: fucking bird.

643
00:35:25,320 --> 00:35:28,759
Speaker 1: That's really a great life. And again, if this is

644
00:35:28,760 --> 00:35:32,000
Speaker 1: a simulation, congratulations, you have a great one. Don't wait,

645
00:35:32,120 --> 00:35:34,319
Speaker 1: Kurt up, keep them going, You're killing it.

646
00:35:34,560 --> 00:35:36,960
Speaker 2: Keep me plugged into the matrix. I want to be food.

647
00:35:37,920 --> 00:35:39,960
Speaker 2: That's right, all right, here you go. Are you ready

648
00:35:39,960 --> 00:35:40,520
Speaker 2: for one?

649
00:35:41,360 --> 00:35:43,240
Speaker 1: You have to use U send to some thumbs.

650
00:35:42,920 --> 00:35:48,720
Speaker 2: Up scientific rigor proponents retract paper on benefits of scientific rigor.

651
00:35:49,480 --> 00:35:51,759
Speaker 1: I see the old switch through.

652
00:35:53,360 --> 00:35:55,560
Speaker 2: Don't give umbrigg is okay?

653
00:35:55,560 --> 00:35:58,360
Speaker 1: Thumbs up? So I got five and I'll bomb through them.

654
00:35:58,400 --> 00:36:01,640
Speaker 1: But some are pretty damn good. I gotta say this

655
00:36:01,680 --> 00:36:04,680
Speaker 1: one we missed the time window for and I'm so sorry,

656
00:36:04,800 --> 00:36:07,480
Speaker 1: but it has a happy ending. Harley Elliott wants to

657
00:36:07,560 --> 00:36:11,360
Speaker 1: thumb up her friend Peyton McGriff and her organization that

658
00:36:11,400 --> 00:36:14,560
Speaker 1: she's the founder of that's called Style Her Empowerment Or.

659
00:36:14,760 --> 00:36:18,920
Speaker 1: She Peyton has been nominated as a CNN Hero. She

660
00:36:19,640 --> 00:36:24,520
Speaker 1: is a grassroots, female founded, female led organization in Togo, Africa.

661
00:36:25,080 --> 00:36:27,239
Speaker 1: I think it's tog Sorry, I'm saying that wrong. That

662
00:36:27,280 --> 00:36:30,439
Speaker 1: creates sustainable employment and education for girls and women around

663
00:36:30,480 --> 00:36:33,879
Speaker 1: the world. The update is I was late saying listen.

664
00:36:33,920 --> 00:36:37,600
Speaker 1: I'm sorry, Harley, but Peyton did win the award. She's

665
00:36:37,640 --> 00:36:41,719
Speaker 1: officially a CNN hero, so thumbs up and congratulations on

666
00:36:41,960 --> 00:36:46,200
Speaker 1: creating such a wonderful organization. She if you want to

667
00:36:46,280 --> 00:36:50,560
Speaker 1: learn more, Google style her empowerment and dot org and

668
00:36:50,840 --> 00:36:56,319
Speaker 1: it's really a beautiful organizations. Congratulations, thumbs up. Claire wants

669
00:36:56,320 --> 00:36:58,799
Speaker 1: to thumbs up her dogs Ruby and Scotch and her

670
00:36:58,840 --> 00:37:02,200
Speaker 1: new cat Lucy. They're her best friends for real and

671
00:37:02,280 --> 00:37:04,239
Speaker 1: helped her get through the tough loss of losing a

672
00:37:04,280 --> 00:37:07,760
Speaker 1: beloved pet cat. Claire also says, I guess my husband

673
00:37:07,800 --> 00:37:11,839
Speaker 1: Chris did a pretty good job too. Thumbs up, thumbs up,

674
00:37:12,719 --> 00:37:15,920
Speaker 1: great names coming our way. Zuzu is thumbing her boyfriend

675
00:37:15,960 --> 00:37:18,800
Speaker 1: Cody up for quitting his job. He wasn't being valued

676
00:37:18,880 --> 00:37:21,960
Speaker 1: and now he's putting his creativity in talents first, and

677
00:37:22,080 --> 00:37:25,720
Speaker 1: Zuzu is so proud of you. Cody, thumbs up, thumbs

678
00:37:25,800 --> 00:37:29,839
Speaker 1: up Cody Brown. Another Cody, Cody Brown is thumbing his

679
00:37:29,920 --> 00:37:33,160
Speaker 1: stepdad Paul way up. I'm going to try to get

680
00:37:33,160 --> 00:37:36,600
Speaker 1: through this one without getting choked up. While when Cody's

681
00:37:36,640 --> 00:37:40,160
Speaker 1: biological dad split when Cody and his younger brother were

682
00:37:40,200 --> 00:37:42,320
Speaker 1: three years old and six months old, they had a

683
00:37:42,400 --> 00:37:45,399
Speaker 1: void of a father figure. Paul showed them what their

684
00:37:45,480 --> 00:37:48,799
Speaker 1: dad didn't, that there was a real man who could

685
00:37:48,840 --> 00:37:52,400
Speaker 1: support his wife, his children, and their education. And it

686
00:37:52,440 --> 00:37:54,799
Speaker 1: wasn't until Cody had his own child two years ago

687
00:37:54,840 --> 00:37:58,000
Speaker 1: that he truly recognized how great of a stepdad Paul

688
00:37:58,160 --> 00:38:01,319
Speaker 1: really was. So thumbs up to and congrats on all

689
00:38:01,360 --> 00:38:05,000
Speaker 1: your academic and professional success, Cody. Yeah, what a nice

690
00:38:05,040 --> 00:38:08,360
Speaker 1: thing to take a moment. Yeah, it's a silly podcast

691
00:38:08,360 --> 00:38:11,319
Speaker 1: that could be done easily by AI. Thumbs up to

692
00:38:11,440 --> 00:38:16,120
Speaker 1: Cody and to Paul. And last, but not least, Alyssa

693
00:38:16,560 --> 00:38:20,759
Speaker 1: wants to thumb her kid and animal son Lincoln up.

694
00:38:20,920 --> 00:38:24,239
Speaker 1: They had the best summer ever. Alyssa is a stay

695
00:38:24,239 --> 00:38:27,160
Speaker 1: at home mom and they had a great time going

696
00:38:27,200 --> 00:38:30,799
Speaker 1: to golf, pick a ball, martial arts, hockey camp, and

697
00:38:30,880 --> 00:38:34,360
Speaker 1: even an appointment to get his mullet permed. He's a

698
00:38:34,400 --> 00:38:38,759
Speaker 1: cool kid, Alyssa's. He loves to listen to our theme

699
00:38:38,840 --> 00:38:42,359
Speaker 1: song for bananas and nothing else, she swears, So thumbs up.

700
00:38:42,360 --> 00:38:45,160
Speaker 1: Lincoln for trying all these great activities, for having a

701
00:38:45,239 --> 00:38:48,320
Speaker 1: mullet at all, and keep listening to your mom, brush

702
00:38:48,320 --> 00:38:49,640
Speaker 1: your teeth, eat your vegetables.

703
00:38:50,000 --> 00:38:53,160
Speaker 2: Yeah. Thanks.

704
00:38:53,320 --> 00:38:55,200
Speaker 1: A mullet haircut, I did not.

705
00:38:55,360 --> 00:38:58,279
Speaker 2: I never did have a mullet. Weirdly, I had a

706
00:38:58,600 --> 00:39:02,000
Speaker 2: My mom kept my haircut in a weird bowl for

707
00:39:02,160 --> 00:39:06,000
Speaker 2: my entire childhood, so I had a big, old crazy

708
00:39:06,120 --> 00:39:09,600
Speaker 2: bowl cut that I don't know how it even laid straight.

709
00:39:10,440 --> 00:39:13,960
Speaker 1: I did have a mullet, but only for about a month,

710
00:39:14,360 --> 00:39:17,319
Speaker 1: and I had dyed my hair platinum blonde. I guess

711
00:39:17,360 --> 00:39:21,920
Speaker 1: I was about nineteen and it was growing out, so

712
00:39:21,960 --> 00:39:23,880
Speaker 1: it was dark at the roots and I just let

713
00:39:23,920 --> 00:39:25,720
Speaker 1: it growl because I was in college. I was dating

714
00:39:25,719 --> 00:39:28,440
Speaker 1: a nice woman from Georgia, and she and I went

715
00:39:28,440 --> 00:39:32,600
Speaker 1: down to Charleston, South Carolina on a trip, and I

716
00:39:32,880 --> 00:39:40,480
Speaker 1: was blow drying my lighting tips mullet every day, combing

717
00:39:40,520 --> 00:39:43,960
Speaker 1: it out and blow drying it. So it was it

718
00:39:44,080 --> 00:39:46,120
Speaker 1: kind of curled in the back, like kind of fair

719
00:39:46,239 --> 00:39:50,279
Speaker 1: falset style, feathered out the back the party part. The

720
00:39:50,320 --> 00:39:53,040
Speaker 1: front still had a full head of hair, so it's

721
00:39:53,080 --> 00:39:57,360
Speaker 1: just puffed up and like spiky. And there's one photo

722
00:39:57,640 --> 00:40:00,719
Speaker 1: of this that exists and I found it recently. Oh,

723
00:40:01,160 --> 00:40:05,640
Speaker 1: I will post it. And I'm behind the wall or

724
00:40:05,680 --> 00:40:08,520
Speaker 1: the gate. I'm behind a gate in Charleston. That's like

725
00:40:08,560 --> 00:40:11,600
Speaker 1: some memorial. I have a messenger bag on. I'm wearing

726
00:40:11,640 --> 00:40:14,759
Speaker 1: a sized medium T shirt. For some reason in that era,

727
00:40:14,880 --> 00:40:17,440
Speaker 1: I just wore T shirts that were small enough to

728
00:40:17,440 --> 00:40:20,759
Speaker 1: fit a toddler everywhere went. But I have this dark

729
00:40:20,800 --> 00:40:23,600
Speaker 1: at the roots, platinum blond, blow dried mullet.

730
00:40:23,680 --> 00:40:25,560
Speaker 2: That is just I want to see it.

731
00:40:25,560 --> 00:40:28,799
Speaker 1: It is poetry and motion. Okay, you probably the high

732
00:40:28,840 --> 00:40:30,719
Speaker 1: watermark of my life. You post that.

733
00:40:30,800 --> 00:40:39,759
Speaker 2: I will post me maybe twelve or thirteen, shirtless, standing

734
00:40:39,880 --> 00:40:44,440
Speaker 2: in Florida in a kitchen in Florida with my crystal,

735
00:40:44,560 --> 00:40:47,200
Speaker 2: my multiple crystal necklaces.

736
00:40:48,480 --> 00:40:52,480
Speaker 1: So what we're saying is all the male bananimals out

737
00:40:52,480 --> 00:40:54,839
Speaker 1: there whose wives listening to the pod, don't let them

738
00:40:54,960 --> 00:40:58,960
Speaker 1: check the Instagram stories today. You're going to have a

739
00:40:59,120 --> 00:41:02,759
Speaker 1: little trouble in paradise when these two hot rods show up.

740
00:41:03,680 --> 00:41:07,800
Speaker 1: My God, hit me with the rigor mortis or whatever.

741
00:41:07,840 --> 00:41:08,279
Speaker 1: This is.

742
00:41:09,480 --> 00:41:13,440
Speaker 2: Well, hell yeah, so this is what it is.

743
00:41:14,120 --> 00:41:15,279
Speaker 1: This was can.

744
00:41:17,000 --> 00:41:21,920
Speaker 2: Science dot org. Oh god, uh, And it says, uh,

745
00:41:22,200 --> 00:41:30,719
Speaker 2: this was written by Martin. Eh, he's trying Martin answering,

746
00:41:31,360 --> 00:41:37,960
Speaker 2: I think or and sery Nick, all right, we are embarrassed.

747
00:41:38,520 --> 00:41:42,400
Speaker 2: Scientific rigor proponents track paper on benefits of scientific rigor,

748
00:41:42,840 --> 00:41:45,800
Speaker 2: a high profile paper about ways to improve the rigor

749
00:41:46,000 --> 00:41:49,520
Speaker 2: of research papers, has been retracted after critics attacked its

750
00:41:49,560 --> 00:41:50,200
Speaker 2: own rigor.

751
00:41:50,920 --> 00:41:52,680
Speaker 1: Interesting, Yeah, this happens.

752
00:41:52,840 --> 00:41:56,480
Speaker 2: The study, published nine November twenty twenty three and Nature

753
00:41:56,680 --> 00:41:59,480
Speaker 2: Human Behavior, purported to show the benefits of rigor boosting

754
00:41:59,520 --> 00:42:03,160
Speaker 2: measures including so called preregistration, announcing goals, methods, and other

755
00:42:03,200 --> 00:42:07,279
Speaker 2: planned features of a study ahead of time that then

756
00:42:07,360 --> 00:42:13,800
Speaker 2: boosts the replicability of sixteen finding the Social behavior science

757
00:42:13,840 --> 00:42:16,760
Speaker 2: to eighty six percent over thirty percent.

758
00:42:18,080 --> 00:42:18,760
Speaker 1: That's a lot.

759
00:42:19,080 --> 00:42:22,120
Speaker 2: That's a lot. And so basically they basically, I will

760
00:42:22,239 --> 00:42:26,880
Speaker 2: just sum this one up, which is basically this was

761
00:42:26,920 --> 00:42:31,480
Speaker 2: a paper being like, this is how you did, and

762
00:42:31,520 --> 00:42:34,680
Speaker 2: then they did they didn't do anything of what they

763
00:42:35,320 --> 00:42:37,759
Speaker 2: said that they were going to do, like this is

764
00:42:37,840 --> 00:42:42,040
Speaker 2: how you make things, you know, more rigorous. And then

765
00:42:42,080 --> 00:42:44,439
Speaker 2: people were like, eh, this is bullshit because they didn't

766
00:42:44,440 --> 00:42:45,920
Speaker 2: do any of the things they said you should do,

767
00:42:46,440 --> 00:42:50,560
Speaker 2: and so they got retracted, which is hyper embarrassing and

768
00:42:50,680 --> 00:42:55,000
Speaker 2: also was like some very big name professors as.

769
00:42:55,040 --> 00:42:58,320
Speaker 1: This sounds like streisand Effect, right, this is streisand Effect.

770
00:42:58,440 --> 00:43:02,719
Speaker 1: Barbara streisand Effect. Do you know what that is? That's

771
00:43:02,719 --> 00:43:03,080
Speaker 1: the one?

772
00:43:03,280 --> 00:43:05,399
Speaker 2: Remember it? I think you've told me about it before,

773
00:43:05,520 --> 00:43:06,080
Speaker 2: tell me again.

774
00:43:06,120 --> 00:43:09,600
Speaker 1: I'm very fascinated. And for the beautiful banannimals around the

775
00:43:09,640 --> 00:43:13,520
Speaker 1: world who don't know what it is. Barbara Streisand had

776
00:43:13,560 --> 00:43:17,640
Speaker 1: this house in Malibu on the cliff, and there was

777
00:43:17,640 --> 00:43:19,800
Speaker 1: like a plane that flew over and took some photos

778
00:43:19,840 --> 00:43:25,080
Speaker 1: of all the major homes and posted them online and

779
00:43:25,320 --> 00:43:29,040
Speaker 1: nobody saw them. It's something like less than ten people

780
00:43:29,120 --> 00:43:32,680
Speaker 1: clicked on these photos. But she sued this person and

781
00:43:32,719 --> 00:43:36,919
Speaker 1: the lawsuit went public and suddenly millions of people were

782
00:43:36,960 --> 00:43:39,480
Speaker 1: looking at the photos of Barbara Streisand's home that she

783
00:43:39,560 --> 00:43:43,120
Speaker 1: was trying to keep private. So streisand effect is when

784
00:43:43,120 --> 00:43:46,760
Speaker 1: you call attention to something otherwise would have been ignored

785
00:43:46,800 --> 00:43:50,120
Speaker 1: and get yourself in trouble. And I think about it

786
00:43:50,200 --> 00:43:53,800
Speaker 1: all the time because people do it all the time. Yeah,

787
00:43:54,400 --> 00:43:58,200
Speaker 1: in every field. It's like it's the people that are

788
00:43:58,280 --> 00:44:04,680
Speaker 1: like you gotta it's people that bring up things like that.

789
00:44:04,840 --> 00:44:07,960
Speaker 1: Nobody else is ever considering or thinking about. And then

790
00:44:08,080 --> 00:44:12,279
Speaker 1: suddenly it's like, oh, really, you are the person that

791
00:44:12,320 --> 00:44:15,000
Speaker 1: are going to the brothels in your town. You're like,

792
00:44:15,120 --> 00:44:17,440
Speaker 1: that place looks like a brothel, and then everybody's like

793
00:44:17,600 --> 00:44:20,319
Speaker 1: that it kind of does, and why did you say that?

794
00:44:20,600 --> 00:44:23,000
Speaker 1: And why was your car out there last week? Are

795
00:44:23,000 --> 00:44:26,960
Speaker 1: you visiting the brothels? And then they always are. It's

796
00:44:27,000 --> 00:44:30,480
Speaker 1: a weird, beautiful effect. But that's what this sounds like.

797
00:44:30,600 --> 00:44:33,840
Speaker 1: It sounds like these these bone heads wanted to like

798
00:44:34,400 --> 00:44:37,360
Speaker 1: rub other people's noses in it instead, yet their noses

799
00:44:37,400 --> 00:44:39,279
Speaker 1: rubbed in it, and that is so satisfying.

800
00:44:39,320 --> 00:44:42,680
Speaker 2: It's very satisfied. It's a delight, isn't it. It's gotta

801
00:44:42,680 --> 00:44:44,040
Speaker 2: give us another one, send us home.

802
00:44:44,360 --> 00:44:47,560
Speaker 1: Okay, I got two crimes. I'll let you decide. One

803
00:44:47,719 --> 00:44:51,319
Speaker 1: is a break in and one is arson. What would

804
00:44:51,360 --> 00:44:52,200
Speaker 1: you rather hear about?

805
00:44:52,520 --> 00:44:57,040
Speaker 2: Break in or arson? I'm gonna go. I often find

806
00:44:57,200 --> 00:45:03,880
Speaker 2: arson ones are very funny. But which do you think

807
00:45:03,960 --> 00:45:04,440
Speaker 2: is funnier?

808
00:45:07,080 --> 00:45:10,520
Speaker 1: I think the robber one might be break in because

809
00:45:10,520 --> 00:45:13,040
Speaker 1: I think even in our first episode of Bananas back

810
00:45:13,080 --> 00:45:14,640
Speaker 1: in the day with Christin Chaw, I think you did

811
00:45:14,640 --> 00:45:18,000
Speaker 1: the story about the weird couple, threesome orgy eating ground

812
00:45:18,040 --> 00:45:21,600
Speaker 1: beef in the bathtub remember that one? And yeah fighting,

813
00:45:22,440 --> 00:45:27,680
Speaker 1: So this is similar. Vein robber breaks into home, cooks

814
00:45:27,719 --> 00:45:30,040
Speaker 1: meal for his victim and hangs clothes out to dry.

815
00:45:31,040 --> 00:45:34,200
Speaker 1: Oh yes, yes, yes, this was sent to us by

816
00:45:34,560 --> 00:45:41,640
Speaker 1: dozens and dozens, if not hundreds of bananimals. Let's credit.

817
00:45:42,160 --> 00:45:44,759
Speaker 1: I don't know how about Sarah Ryan Hartschi sent it in.

818
00:45:44,840 --> 00:45:50,320
Speaker 1: I know ndtv Atha a hoosia, which is a great

819
00:45:50,480 --> 00:45:53,759
Speaker 1: name Astha a hoosia, best in the biss when it

820
00:45:53,800 --> 00:45:56,840
Speaker 1: comes to this kind of crimes. She or he or

821
00:45:56,880 --> 00:46:01,680
Speaker 1: they are excellent. Broke into a woman's home in the

822
00:46:01,760 --> 00:46:04,600
Speaker 1: UK and decided to feel at home and finish several

823
00:46:04,600 --> 00:46:08,360
Speaker 1: household chores, including cooking, cleaning, and hanging out wash clothes.

824
00:46:08,640 --> 00:46:11,360
Speaker 1: He left the house with a note don't worry, be happy,

825
00:46:11,440 --> 00:46:15,640
Speaker 1: Eat up and scratch, Eat up and scratch, Eat up

826
00:46:15,640 --> 00:46:18,040
Speaker 1: and scratch, which might be a British thing that you

827
00:46:18,080 --> 00:46:20,120
Speaker 1: and I don't fully understand.

828
00:46:20,600 --> 00:46:22,160
Speaker 2: So he broke in, Did he steal anything?

829
00:46:23,239 --> 00:46:27,600
Speaker 1: Damien? I'm gonna give him a nickname after this, Damien

830
00:46:27,920 --> 00:46:32,360
Speaker 1: woj Nil Loe's lowitch, Wojnil Lowitch. So I'm gonna call

831
00:46:32,400 --> 00:46:36,960
Speaker 1: him the Woes. Yeah, Damien Woes thirty six conducted an

832
00:46:37,000 --> 00:46:41,160
Speaker 1: a usual burgleary in Monmouthshire on July sixteenth in Cardiff

833
00:46:41,200 --> 00:46:44,520
Speaker 1: Crown Court. And he's been sentenced to twenty two months.

834
00:46:44,560 --> 00:46:45,839
Speaker 1: And I know it's always so.

835
00:46:45,880 --> 00:46:48,319
Speaker 2: Prepossible, It's always like toscension.

836
00:46:50,000 --> 00:46:52,520
Speaker 1: He's been sentenced to twenty two months of jail time,

837
00:46:52,960 --> 00:46:58,719
Speaker 1: reported to the BBC. This left the victim oh, which

838
00:46:58,840 --> 00:47:02,160
Speaker 1: left the victim took to stay in her home two

839
00:47:02,160 --> 00:47:04,880
Speaker 1: weeks after the crime was committed until he was caught.

840
00:47:04,920 --> 00:47:07,200
Speaker 1: I was living in a state of heightened anxiety I

841
00:47:07,239 --> 00:47:11,800
Speaker 1: had never experienced before. Very reasonable, Yeah, of course, very reasonable.

842
00:47:11,840 --> 00:47:14,000
Speaker 1: That is a true invasion of privacy, said the woman

843
00:47:14,080 --> 00:47:16,600
Speaker 1: in a personal statement. I wondered if somebody, it was

844
00:47:16,640 --> 00:47:19,319
Speaker 1: somebody who knew me, if it was going to turn

845
00:47:19,360 --> 00:47:22,799
Speaker 1: into a stalking incident, if he knew that I lived

846
00:47:22,840 --> 00:47:25,200
Speaker 1: alone and that I've been targeted. She added, I was

847
00:47:25,239 --> 00:47:26,880
Speaker 1: too scared to stay in my own home, so I

848
00:47:26,920 --> 00:47:30,560
Speaker 1: stayed with a friend. Woj unpacked a pair of shoes

849
00:47:30,600 --> 00:47:33,799
Speaker 1: and discarded the packaging and the recycling bin. Similarly, he

850
00:47:33,840 --> 00:47:38,440
Speaker 1: replaced toothbrush heads and kitchen utensils. Woj took grocery shopping

851
00:47:38,480 --> 00:47:41,879
Speaker 1: bags out and put up a grocery stopping order out

852
00:47:41,880 --> 00:47:44,520
Speaker 1: of the bags and put them in the refrigerator. He

853
00:47:44,600 --> 00:47:48,320
Speaker 1: went on to rearrange the fridge. He also refilled bird feeders,

854
00:47:48,600 --> 00:47:52,400
Speaker 1: removed potted plants, mopped the floor, and kept empty bottles

855
00:47:52,440 --> 00:47:53,520
Speaker 1: of wine in a.

856
00:47:53,560 --> 00:47:56,600
Speaker 2: Rack that is crazy and wild.

857
00:47:56,960 --> 00:48:00,440
Speaker 1: Before leaving, Woch cooked a meal using ingredi from the

858
00:48:00,440 --> 00:48:03,040
Speaker 1: woman's cupboard, and when the woman returned home, she saw

859
00:48:03,080 --> 00:48:05,000
Speaker 1: a bottle of red wine had been left out next

860
00:48:05,000 --> 00:48:07,560
Speaker 1: to a glass and a bottle opener, and a bowl

861
00:48:07,600 --> 00:48:12,040
Speaker 1: of sweets was lying on the living room table. Wow WHOA.

862
00:48:12,560 --> 00:48:15,520
Speaker 1: She spoke to her neighbor who describes seeing someone hanging

863
00:48:15,520 --> 00:48:19,440
Speaker 1: out washing to dry. Wos carried out a second burglary

864
00:48:19,480 --> 00:48:23,279
Speaker 1: at another home, following which he was arrested. He was

865
00:48:23,320 --> 00:48:26,319
Speaker 1: caught when a homeowner received a CCTV alert on his

866
00:48:26,360 --> 00:48:29,800
Speaker 1: phone which showed Wog walking on his driveway. This time,

867
00:48:30,040 --> 00:48:32,759
Speaker 1: he used a shower in the summerhouse to wash and

868
00:48:32,800 --> 00:48:36,120
Speaker 1: clean his clothing. He consumed food and drink, cleaned the house,

869
00:48:36,200 --> 00:48:40,759
Speaker 1: and left the hot tubs slightly dirty. This person is

870
00:48:40,800 --> 00:48:43,640
Speaker 1: on a tear When the homeowner asked his son in

871
00:48:43,719 --> 00:48:46,280
Speaker 1: lun a son in law to attend the property, Woj

872
00:48:46,520 --> 00:48:49,560
Speaker 1: was found holding a glass and appeared to be drunk.

873
00:48:50,200 --> 00:48:53,000
Speaker 1: He left the house upon asking. The homeowner said he

874
00:48:53,040 --> 00:48:55,560
Speaker 1: felt sick, harfed, and useless when he became aware of

875
00:48:55,560 --> 00:49:00,120
Speaker 1: the burglary, and Woch says he was going through some

876
00:49:00,160 --> 00:49:06,680
Speaker 1: difficulties at that time. The sentencing recorder, Christian Joett, said

877
00:49:06,680 --> 00:49:10,720
Speaker 1: this was significant intrusion into their homes, and like I said,

878
00:49:10,880 --> 00:49:14,160
Speaker 1: he was sent to prison for twenty two months.

879
00:49:14,480 --> 00:49:17,800
Speaker 2: For twenty two months, okay, all right. Also, maybe prison's

880
00:49:17,840 --> 00:49:20,440
Speaker 2: not the best place for him. Maybe he should be

881
00:49:20,760 --> 00:49:22,240
Speaker 2: someplace where he can get met.

882
00:49:23,280 --> 00:49:26,160
Speaker 1: Mental health might be Yeah.

883
00:49:25,680 --> 00:49:30,080
Speaker 2: That doesn't sound like someone who's uh just a just

884
00:49:30,160 --> 00:49:33,480
Speaker 2: a bad guy. Gotta be gotta be sked, you know,

885
00:49:33,680 --> 00:49:35,880
Speaker 2: Like that sounds like a person who needs some help.

886
00:49:36,360 --> 00:49:40,160
Speaker 1: He might need a little help, but he certainly is

887
00:49:40,239 --> 00:49:44,200
Speaker 1: handy around the household. I bet he's gonna have a

888
00:49:44,360 --> 00:49:49,440
Speaker 1: very clean and orderly prison cell when that happens. I

889
00:49:49,480 --> 00:49:52,560
Speaker 1: think that would be the strangest thing.

890
00:49:53,200 --> 00:49:55,440
Speaker 2: Oh, it would be so it would be so upsetting.

891
00:49:56,200 --> 00:49:59,560
Speaker 1: You know, he breaks in and steals your wallet and

892
00:49:59,600 --> 00:50:03,160
Speaker 1: your lap and your you know whatever, credit cards and cash.

893
00:50:03,200 --> 00:50:04,040
Speaker 2: You know it's over.

894
00:50:04,719 --> 00:50:08,399
Speaker 1: Yeah, right, you know he wanted the stuff exactly. They

895
00:50:08,640 --> 00:50:12,600
Speaker 1: just wanted the stuff. But when they've eaten your food

896
00:50:12,640 --> 00:50:15,960
Speaker 1: and put out a bowl of sweets, that to me

897
00:50:16,200 --> 00:50:18,960
Speaker 1: is like put it in a scary movie, Like, yeah.

898
00:50:18,840 --> 00:50:21,160
Speaker 2: That's a scary movie. That's a scary movie.

899
00:50:21,600 --> 00:50:24,239
Speaker 1: Yeah. If you and Lauren and the kids came home

900
00:50:24,320 --> 00:50:28,400
Speaker 1: from a vacation and you knew Gretchen hadn't been there,

901
00:50:28,520 --> 00:50:31,080
Speaker 1: and there was a bowl of candy on one of

902
00:50:31,120 --> 00:50:34,359
Speaker 1: the tables, you would grab your children, you would check

903
00:50:34,440 --> 00:50:38,400
Speaker 1: your AI bird feeder, camera footage immediately, and you would

904
00:50:38,440 --> 00:50:39,280
Speaker 1: go to a hotel.

905
00:50:39,440 --> 00:50:43,480
Speaker 2: Oh one hundred percent. I also think the scariest scene

906
00:50:44,320 --> 00:50:47,759
Speaker 2: in any movie I've ever seen. Granted I don't watch

907
00:50:47,800 --> 00:50:51,240
Speaker 2: too many scary movies, but I watched them all Lost

908
00:50:51,320 --> 00:50:54,200
Speaker 2: Highway by David Lynch. There's a scene where a very

909
00:50:54,200 --> 00:50:57,640
Speaker 2: creepy man comes up and he says, I'm at your

910
00:50:57,680 --> 00:51:01,160
Speaker 2: house right now, call me, and then hands the guy

911
00:51:01,760 --> 00:51:05,680
Speaker 2: a cell phone. He calls his own phone number at

912
00:51:05,680 --> 00:51:08,239
Speaker 2: home and then listens to the guy in front of

913
00:51:08,320 --> 00:51:12,840
Speaker 2: him pick up at his home. That is the scariest thing.

914
00:51:13,840 --> 00:51:16,360
Speaker 1: Why is David Lynch so good at the simplest scares?

915
00:51:16,400 --> 00:51:18,560
Speaker 1: Because in mohaund Drive when they're sitting in the diner

916
00:51:18,600 --> 00:51:20,960
Speaker 1: and he's afraid somebody is standing behind the dumpster, and

917
00:51:21,040 --> 00:51:22,920
Speaker 1: then the guy walks out there and there's a guy.

918
00:51:23,000 --> 00:51:26,480
Speaker 1: There's a just an unhoused man behind the dumpster. Yeah,

919
00:51:26,560 --> 00:51:28,880
Speaker 1: it's so terrifying. It's so terrifying.

920
00:51:29,120 --> 00:51:31,960
Speaker 2: How can what David Lynch David Lynch is so good

921
00:51:31,960 --> 00:51:37,360
Speaker 2: at like little moments of pure brilliance and then incapable

922
00:51:37,400 --> 00:51:40,200
Speaker 2: of structuring a movie.

923
00:51:40,760 --> 00:51:43,439
Speaker 1: I know in Lockdown when he started giving the weather

924
00:51:43,520 --> 00:51:48,080
Speaker 1: report every morning, he really that so much it elevated him.

925
00:51:48,160 --> 00:51:50,640
Speaker 1: I already held him in such high regard, but man,

926
00:51:51,360 --> 00:51:54,239
Speaker 1: that made me go like, this guy completely gets what

927
00:51:54,320 --> 00:51:56,160
Speaker 1: it's all about. He could be up yer.

928
00:51:56,600 --> 00:52:00,960
Speaker 2: Oh it's so good. Yeah, I really do. I love that.

929
00:52:01,040 --> 00:52:03,799
Speaker 2: And then also there was a there's another there's just

930
00:52:03,840 --> 00:52:07,120
Speaker 2: a shot and Lost Highway where it's just so simple too.

931
00:52:07,160 --> 00:52:10,800
Speaker 2: That's what gets me. It's just a camera that's mounted

932
00:52:10,880 --> 00:52:13,480
Speaker 2: close to the ceiling on a rig and it's just

933
00:52:13,520 --> 00:52:16,400
Speaker 2: slowly moving down a hallway in black and white with

934
00:52:16,440 --> 00:52:19,160
Speaker 2: the lights turned off, and it's just like a drone

935
00:52:19,200 --> 00:52:22,719
Speaker 2: noise like bah, and they just keep cutting back to

936
00:52:22,800 --> 00:52:26,000
Speaker 2: it and you're like so scared. Nothing happens, nothing ever happens.

937
00:52:26,160 --> 00:52:28,680
Speaker 2: It's just a camera moving at a height that you're

938
00:52:28,719 --> 00:52:31,319
Speaker 2: not used to walking at as a human being, and

939
00:52:31,360 --> 00:52:34,399
Speaker 2: it's just moving slowly and you think there's something's gonna happen.

940
00:52:34,480 --> 00:52:38,239
Speaker 2: Nothing happens, and it's just that shit is like that

941
00:52:38,280 --> 00:52:39,160
Speaker 2: breaks my brain.

942
00:52:39,400 --> 00:52:41,359
Speaker 1: You know, if you want to watch one of the

943
00:52:41,360 --> 00:52:45,200
Speaker 1: worst versions of that of movie, it's came out last

944
00:52:45,280 --> 00:52:47,160
Speaker 1: year and it's called skin a Merink and it made

945
00:52:47,200 --> 00:52:49,600
Speaker 1: a lot of money on like a sixteen thousand dollars

946
00:52:49,600 --> 00:52:53,319
Speaker 1: budget six skinn a me rink skinna Merink like skinn

947
00:52:53,320 --> 00:52:58,680
Speaker 1: a marinky dinky do correct? And you have to be

948
00:52:58,760 --> 00:53:01,480
Speaker 1: so generous to not think gets the worst movie at

949
00:53:01,800 --> 00:53:05,160
Speaker 1: your time. And all of my friends that are horror

950
00:53:05,200 --> 00:53:07,360
Speaker 1: movie writers and horror movie directors, they were like, have

951
00:53:07,400 --> 00:53:09,319
Speaker 1: you seen this? Have you seen this yet? And I

952
00:53:09,400 --> 00:53:11,440
Speaker 1: called somebody a Blumhouse that I'm friends with, and I

953
00:53:11,480 --> 00:53:13,120
Speaker 1: was like, what did you think? He goes. I wish

954
00:53:13,200 --> 00:53:15,440
Speaker 1: I had every second of my life back that I

955
00:53:15,480 --> 00:53:19,839
Speaker 1: spent watching that crap. But for an experiment, if you're

956
00:53:19,880 --> 00:53:21,879
Speaker 1: ever really bored and alone, watch it. And I'm sure

957
00:53:21,880 --> 00:53:23,640
Speaker 1: a couple of bananaals are like, I really liked it.

958
00:53:23,640 --> 00:53:25,879
Speaker 1: It's like a vibe thing. He feels like a certain way.

959
00:53:25,880 --> 00:53:29,120
Speaker 1: It's really creepy. Boy, that is so generous, it is.

960
00:53:30,200 --> 00:53:32,240
Speaker 1: It's wild. What's out there anyways?

961
00:53:33,400 --> 00:53:35,799
Speaker 2: Or sixteen thousand dollars though? Who's made for?

962
00:53:36,040 --> 00:53:37,920
Speaker 1: And I think it made like three million bucks or

963
00:53:37,960 --> 00:53:38,720
Speaker 1: ten million bucks?

964
00:53:38,760 --> 00:53:39,240
Speaker 2: Crazy?

965
00:53:39,400 --> 00:53:42,160
Speaker 1: That's crazy the total success. And maybe the filmmaker's next

966
00:53:42,160 --> 00:53:45,839
Speaker 1: film is excellent, but boy, they got away with one

967
00:53:45,880 --> 00:53:51,040
Speaker 1: on that one there. It is damn Anyways, watch Mots

968
00:53:51,040 --> 00:53:54,960
Speaker 1: on Hulu. It's much moh no, it's eight today on Hulu. Ween,

969
00:53:55,120 --> 00:53:56,319
Speaker 1: so let's get it up to five.

970
00:53:56,560 --> 00:53:57,800
Speaker 2: Oh hell yeah, buddy.

971
00:53:58,640 --> 00:54:03,480
Speaker 1: It's so funny. It just keeps staying alive. God scales

972
00:54:03,520 --> 00:54:06,840
Speaker 1: not bind airpels. Thank you to everybody. Everybody's welcome and bananas,

973
00:54:06,880 --> 00:54:10,319
Speaker 1: thank you everybody. Exactly right. To Curtie b himself, we

974
00:54:10,400 --> 00:54:18,280
Speaker 1: love doing bananas for you, Banana.

975
00:54:19,440 --> 00:54:20,600
Speaker 2: Let me see an Ai do that?

976
00:54:21,440 --> 00:54:35,320
Speaker 1: Yeah, fuck Ai. Bananas is an exactly right media production.

977
00:54:35,480 --> 00:54:37,760
Speaker 2: Our producer and engineer is Katie Levine.

978
00:54:38,120 --> 00:54:41,320
Speaker 1: The catchy bananas theme song was composed and performed by Kahan.

979
00:54:41,560 --> 00:54:44,880
Speaker 2: Artwork for Bananas was designed by Travis Millard.

980
00:54:44,880 --> 00:54:47,719
Speaker 1: And our benevolent overlords are the great Karen Kilgareff and

981
00:54:47,760 --> 00:54:48,640
Speaker 1: Georgia Hartstart

982
00:54:48,760 --> 00:54:51,560
Speaker 2: And Lisa Maggott is our full human, not a robot

983
00:54:51,600 --> 00:54:53,080
Speaker 2: intern