1
00:00:05,559 --> 00:00:08,479
Speaker 1: Did you fly across the country with that arm and

2
00:00:08,520 --> 00:00:12,840
Speaker 1: that I did? Wow, I need did it get did

3
00:00:12,880 --> 00:00:14,680
Speaker 1: you check it? Or did you take it and carry.

4
00:00:14,520 --> 00:00:17,079
Speaker 2: And checked it and wrapped it in a bunch of clothing.

5
00:00:18,079 --> 00:00:21,480
Speaker 3: It removed his kids? His kids like car seat.

6
00:00:21,400 --> 00:00:24,360
Speaker 2: And yeah, yeah, the kids are just riding loose in

7
00:00:24,400 --> 00:00:29,600
Speaker 2: the back. I like to call it raw dogging highways,

8
00:00:29,880 --> 00:00:30,920
Speaker 2: the American.

9
00:00:30,560 --> 00:00:44,879
Speaker 4: Highway system, the prenator, you know, prenator, Hello the Internet,

10
00:00:44,920 --> 00:00:47,760
Speaker 4: and welcome to season three fifty one, Episode.

11
00:00:47,400 --> 00:00:51,400
Speaker 2: Three of dar Day's I Stay production of iHeart Radio.

12
00:00:51,600 --> 00:00:54,360
Speaker 2: This is a podcast where we take a deep dive

13
00:00:54,440 --> 00:00:59,160
Speaker 2: into America's share consciousness. That it is Wednesday, August fourteenth,

14
00:00:59,640 --> 00:01:05,120
Speaker 2: twenty four, almost halfway through August. We're getting there, We're

15
00:01:05,120 --> 00:01:07,520
Speaker 2: making our way. Although I think I think we all

16
00:01:07,560 --> 00:01:11,200
Speaker 2: just want to pump the brakes. Let's let's, you know,

17
00:01:11,520 --> 00:01:16,199
Speaker 2: let this time past slowly enjoy August. I don't really

18
00:01:16,240 --> 00:01:19,199
Speaker 2: need November to come at all, to be honest, I'd

19
00:01:19,200 --> 00:01:23,440
Speaker 2: be good with no Halloween for maybe, just like.

20
00:01:24,000 --> 00:01:25,240
Speaker 5: No November November.

21
00:01:25,840 --> 00:01:30,360
Speaker 2: Yeah, no, no November November. Let's get it started. My

22
00:01:30,480 --> 00:01:35,240
Speaker 2: name is Jack O'Brien aka well I fuck couch. Yeah,

23
00:01:35,560 --> 00:01:41,959
Speaker 2: fuck love. See get that ottoman over here, I'll fuck

24
00:01:42,040 --> 00:01:47,640
Speaker 2: an armchair. That one courtesy of First Blood five twenty two,

25
00:01:47,720 --> 00:01:52,760
Speaker 2: in honor of the great JD Vance the loure Is Building.

26
00:01:53,040 --> 00:01:56,880
Speaker 2: It's not just couches, it's all furniture. Now.

27
00:01:57,320 --> 00:01:59,800
Speaker 1: When someone submits one of those, are they submitting are

28
00:01:59,840 --> 00:02:02,080
Speaker 1: they like doing a voice note and or are they

29
00:02:02,120 --> 00:02:06,440
Speaker 1: just saying to the tune of to the creep And

30
00:02:06,440 --> 00:02:11,960
Speaker 1: then you have to go to you And I.

31
00:02:12,040 --> 00:02:17,000
Speaker 2: Am lazy enough that I will rarely go and re

32
00:02:17,120 --> 00:02:19,000
Speaker 2: listen to the song to remind myself. So I just

33
00:02:19,040 --> 00:02:21,679
Speaker 2: picked the ones that I can immediately. I'm like, oh yeah,

34
00:02:21,680 --> 00:02:26,440
Speaker 2: I know, Creep. That one's easy. That's been review since

35
00:02:27,120 --> 00:02:30,840
Speaker 2: since it came out. I'm thrilled to be joined by

36
00:02:30,840 --> 00:02:34,680
Speaker 2: a very special guest co host with the guest mo host,

37
00:02:34,840 --> 00:02:38,440
Speaker 2: a hilarious and brilliant stand up comedian, writer, actor, improviser.

38
00:02:43,080 --> 00:02:47,040
Speaker 5: Bitches. They didn't kill me, and.

39
00:02:47,000 --> 00:02:54,639
Speaker 2: They tried, they tried, Reagan tried. The beef has started,

40
00:02:54,840 --> 00:02:58,880
Speaker 2: and Reagan it's started well. Paulay, thank you, thank you

41
00:02:58,919 --> 00:03:01,760
Speaker 2: so much for joining filling in for Miles once again,

42
00:03:02,160 --> 00:03:04,639
Speaker 2: we are thrilled to be joined in our third seat

43
00:03:05,320 --> 00:03:09,239
Speaker 2: by a podcaster extraordinary, you know, from this day in

44
00:03:09,480 --> 00:03:14,200
Speaker 2: esoteric political history, from radio toopia. He's also hosted thirty

45
00:03:14,200 --> 00:03:17,440
Speaker 2: for thirty for ESPN, the five thirty eight politics podcast.

46
00:03:17,760 --> 00:03:21,119
Speaker 2: He's the lead producer on The Puzzler. It's Jody Abergade.

47
00:03:25,200 --> 00:03:29,000
Speaker 1: Oh that was a nice little yeah, yeah, I appreciated that, Dan,

48
00:03:29,520 --> 00:03:31,280
Speaker 1: thanks for having me. This is great and probably nice

49
00:03:31,280 --> 00:03:31,640
Speaker 1: to meet you.

50
00:03:32,080 --> 00:03:32,919
Speaker 5: Nice to meet you.

51
00:03:33,440 --> 00:03:35,320
Speaker 2: I have an AKA for you if you want if

52
00:03:35,320 --> 00:03:35,760
Speaker 2: you want to.

53
00:03:35,840 --> 00:03:37,520
Speaker 1: Oh you want to do it? Yeah, let's hear.

54
00:03:37,640 --> 00:03:40,680
Speaker 2: Hey Joe doy Aver again, where are you going with

55
00:03:40,720 --> 00:03:42,800
Speaker 2: that podcast? Mike and your hand?

56
00:03:42,960 --> 00:03:46,360
Speaker 1: Ah Man? That one, that one was not suggested by

57
00:03:46,360 --> 00:03:48,160
Speaker 1: a brilliant listener. That was just from the top.

58
00:03:49,360 --> 00:03:51,760
Speaker 2: But I think you know, it's not all about the

59
00:03:52,480 --> 00:03:54,920
Speaker 2: syllables actually fitting sometimes that's all.

60
00:03:54,960 --> 00:03:56,720
Speaker 1: It's about the delivery about.

61
00:03:56,440 --> 00:03:58,560
Speaker 2: It just like what pops into my head and it.

62
00:03:58,520 --> 00:04:01,760
Speaker 1: Gets about the heart and believe. And that's exactly what

63
00:04:01,840 --> 00:04:02,840
Speaker 1: Raygun told herself.

64
00:04:04,000 --> 00:04:06,480
Speaker 3: How badly do you want?

65
00:04:07,120 --> 00:04:08,040
Speaker 1: Just about the passion.

66
00:04:08,320 --> 00:04:13,280
Speaker 2: It's just about believing in yourself, having that attitude where

67
00:04:13,320 --> 00:04:17,000
Speaker 2: you're kind of like looking back at the judges just

68
00:04:17,520 --> 00:04:20,560
Speaker 2: you know, can you top this thing them.

69
00:04:20,760 --> 00:04:22,679
Speaker 3: Do you know what she reminded me of. She reminded

70
00:04:22,680 --> 00:04:25,360
Speaker 3: me of like a Missy Elliott video reject you know.

71
00:04:26,160 --> 00:04:28,520
Speaker 3: Oh yeah, that's the vibes I got.

72
00:04:29,040 --> 00:04:34,760
Speaker 2: My early rounds of American idol type ery. Want one

73
00:04:34,800 --> 00:04:38,520
Speaker 2: of our greats to ever cross the I don't know,

74
00:04:38,640 --> 00:04:44,360
Speaker 2: but that's right. All right, Jody, We're going to get

75
00:04:44,360 --> 00:04:46,320
Speaker 2: to know you a little bit better in a moment. First,

76
00:04:46,360 --> 00:04:48,120
Speaker 2: we're going to tell the listeners a couple of things

77
00:04:48,160 --> 00:04:51,119
Speaker 2: we're talking about today. We are, of course talking about

78
00:04:51,120 --> 00:04:57,320
Speaker 2: the big Trump Musk interview, which I don't know I

79
00:04:57,320 --> 00:04:59,480
Speaker 2: could have. I feel like I could have predicted most

80
00:04:59,520 --> 00:05:03,720
Speaker 2: of the thing that were going to happen in that interview,

81
00:05:04,200 --> 00:05:09,840
Speaker 2: the talking points, the technical problems, the technical problems both

82
00:05:09,960 --> 00:05:12,760
Speaker 2: in terms of Twitter being able to stay up and

83
00:05:12,839 --> 00:05:15,679
Speaker 2: also his teeth being able to stay in his mouth.

84
00:05:16,480 --> 00:05:18,800
Speaker 2: We might get to Rey Gun, we might get to

85
00:05:18,920 --> 00:05:22,120
Speaker 2: the mind of Hollywood. We'll get to Raygun. All right,

86
00:05:22,240 --> 00:05:24,600
Speaker 2: we'll get to ray Gun, all of that plenty more.

87
00:05:24,680 --> 00:05:27,200
Speaker 2: But first, Jody, we do like to ask our guests,

88
00:05:27,560 --> 00:05:31,440
Speaker 2: what is something from your search history that's revealing about

89
00:05:31,480 --> 00:05:33,040
Speaker 2: who you are? Well?

90
00:05:33,240 --> 00:05:35,440
Speaker 1: I just this morning actually it's going to come out

91
00:05:35,440 --> 00:05:37,520
Speaker 1: in a week or two. Recorded an episode of my

92
00:05:37,720 --> 00:05:40,600
Speaker 1: political History podcast where we looked at the history of

93
00:05:40,640 --> 00:05:43,800
Speaker 1: like weird convention moments because the convention's coming up and

94
00:05:43,839 --> 00:05:46,080
Speaker 1: we're just a fun episode to look at some strangs.

95
00:05:46,160 --> 00:05:49,880
Speaker 1: So my search history is full of like videos of

96
00:05:50,880 --> 00:05:53,680
Speaker 1: like Clint Eastwood talking to that empty chair in twenty twelve.

97
00:05:53,720 --> 00:05:57,640
Speaker 1: If you remember that, that was the moment moment iconic.

98
00:05:58,000 --> 00:05:59,840
Speaker 1: I got to tell you that the one that has

99
00:06:00,160 --> 00:06:02,000
Speaker 1: ingered with me the most. And we go back way

100
00:06:02,000 --> 00:06:04,560
Speaker 1: back in time into like there's some amazing stories from

101
00:06:04,560 --> 00:06:08,440
Speaker 1: conventions in like the twenties and thirties, but the when

102
00:06:08,480 --> 00:06:11,680
Speaker 1: Al Gore kissed Tipper Gore for like an uncomfortably long

103
00:06:11,680 --> 00:06:13,760
Speaker 1: amount of time in two thousand. Do you remember that?

104
00:06:14,080 --> 00:06:14,960
Speaker 1: And it kind of.

105
00:06:17,920 --> 00:06:21,159
Speaker 2: Yeah, and I kind of do that. It left my

106
00:06:21,279 --> 00:06:24,080
Speaker 2: brain too, and now it's come back and I'm like

107
00:06:24,279 --> 00:06:27,400
Speaker 2: why again, and weirdly.

108
00:06:26,960 --> 00:06:29,080
Speaker 1: Like it's the one that has just continued to rattle

109
00:06:29,080 --> 00:06:29,799
Speaker 1: around in my brain.

110
00:06:30,040 --> 00:06:31,600
Speaker 2: So you know, why did I do that?

111
00:06:32,760 --> 00:06:33,000
Speaker 3: Yeah?

112
00:06:33,080 --> 00:06:37,000
Speaker 1: I know, I've had this reputation as being like stiff,

113
00:06:37,120 --> 00:06:39,039
Speaker 1: and so I think they wanted to come out and

114
00:06:39,160 --> 00:06:43,960
Speaker 1: show like I got a little this like it looked

115
00:06:44,680 --> 00:06:46,479
Speaker 1: look we do it, we do a like real zupprudor

116
00:06:46,600 --> 00:06:48,840
Speaker 1: breakdown of it on our show. But it looks like

117
00:06:50,040 --> 00:06:52,080
Speaker 1: they hadn't decided they were going to do this, Like

118
00:06:52,120 --> 00:06:54,960
Speaker 1: Tipper looks caught off guard and does that little uncomfortable

119
00:06:55,000 --> 00:06:57,080
Speaker 1: leaning back thing and he keeps going in and it's

120
00:06:57,120 --> 00:07:01,080
Speaker 1: like a solid three seconds. Anyway, it's, for whatever reason,

121
00:07:01,080 --> 00:07:03,120
Speaker 1: the one weird political moment that has got.

122
00:07:03,040 --> 00:07:04,480
Speaker 5: The lean away from his wife.

123
00:07:04,680 --> 00:07:04,960
Speaker 1: Yeah.

124
00:07:05,080 --> 00:07:07,919
Speaker 2: Yeah, and they separated in twenty.

125
00:07:07,680 --> 00:07:10,200
Speaker 1: Ten, twenty ten, but yeah, nobody know.

126
00:07:10,400 --> 00:07:16,520
Speaker 2: It was, but they were on that. Yeah, two days

127
00:07:16,520 --> 00:07:19,680
Speaker 2: in a row. We're talking Gore because real had Yeah,

128
00:07:19,800 --> 00:07:22,520
Speaker 2: we had Rhiann and her mom on yesterday from the

129
00:07:22,560 --> 00:07:25,160
Speaker 2: five to four podcast. Oh yeah, and we were talking

130
00:07:25,320 --> 00:07:29,360
Speaker 2: about Bush v. Gore in the context of the upcoming

131
00:07:29,400 --> 00:07:35,080
Speaker 2: election because the Supreme Court is poised. They kind of

132
00:07:35,160 --> 00:07:37,240
Speaker 2: were ready to get involved in the last one. They

133
00:07:37,280 --> 00:07:39,000
Speaker 2: were doing all sorts of funck shit like in the

134
00:07:39,600 --> 00:07:41,640
Speaker 2: lead up to the last one, but they didn't have

135
00:07:42,240 --> 00:07:45,120
Speaker 2: like Amy Cony Barrett was like only half through the

136
00:07:45,200 --> 00:07:48,240
Speaker 2: process or like was just freshly on. So she was like,

137
00:07:48,280 --> 00:07:50,160
Speaker 2: I'm not going to weigh in. But they were like

138
00:07:50,280 --> 00:07:53,000
Speaker 2: throwing out mail in ballots and doing all sorts of

139
00:07:53,000 --> 00:07:57,440
Speaker 2: wild shit, like along ideological lines. I just read a

140
00:07:57,480 --> 00:08:01,960
Speaker 2: biography of like the first I guess forty years of

141
00:08:02,160 --> 00:08:08,760
Speaker 2: JFK's life, and he fucks that guy fucks like too much.

142
00:08:09,240 --> 00:08:13,520
Speaker 2: It's a problem, but it made me realize that we've

143
00:08:13,560 --> 00:08:18,320
Speaker 2: been robbed of like an entertaining thing is probably not

144
00:08:18,440 --> 00:08:22,400
Speaker 2: the best in terms of political order and like how

145
00:08:22,400 --> 00:08:26,920
Speaker 2: things work. But like the conventions, like they used to

146
00:08:27,560 --> 00:08:30,760
Speaker 2: determine who was going to be vice president, like.

147
00:08:30,760 --> 00:08:32,760
Speaker 1: He was, I mean, it was like, yeah, we'd go

148
00:08:32,800 --> 00:08:34,320
Speaker 1: in and it'd just be a sort of open.

149
00:08:34,160 --> 00:08:37,160
Speaker 2: Question and then they would like fight for it.

150
00:08:38,240 --> 00:08:40,400
Speaker 1: We almost we almost got that this year, and I

151
00:08:40,400 --> 00:08:42,240
Speaker 1: think we're getting I mean, I'll be curious to see

152
00:08:42,240 --> 00:08:45,160
Speaker 1: if we've gotten enough of a taste this year of

153
00:08:45,160 --> 00:08:48,880
Speaker 1: what it's like when you this isn't a year and

154
00:08:48,960 --> 00:08:51,880
Speaker 1: a half long process where it's like there's all this

155
00:08:52,000 --> 00:08:52,640
Speaker 1: energy at the end.

156
00:08:52,640 --> 00:08:52,760
Speaker 2: You know.

157
00:08:52,800 --> 00:08:54,760
Speaker 1: I'd be curious if the parties come out of this

158
00:08:54,800 --> 00:08:56,240
Speaker 1: and be like, you know what, maybe we should just

159
00:08:56,360 --> 00:08:59,240
Speaker 1: kind of like lay low and then like the summer

160
00:08:59,320 --> 00:09:02,079
Speaker 1: before the election, just go for it. Almost every other

161
00:09:02,120 --> 00:09:04,440
Speaker 1: country in the in the world dies amazing.

162
00:09:04,559 --> 00:09:08,239
Speaker 3: If they actually learned from this process, that would be beautiful.

163
00:09:08,920 --> 00:09:11,800
Speaker 2: I thought I had like after the twenty twenty election

164
00:09:11,960 --> 00:09:14,880
Speaker 2: and seeing like and it was really like, you know,

165
00:09:15,080 --> 00:09:19,360
Speaker 2: after twenty sixteen with like Obama's popularity was like kind

166
00:09:19,400 --> 00:09:23,880
Speaker 2: of low, and then you had it's just any sitting

167
00:09:23,920 --> 00:09:28,280
Speaker 2: president becomes unpopular in the modern world, And so it

168
00:09:28,360 --> 00:09:31,480
Speaker 2: made me wonder, like, will it become a thing? It's

169
00:09:31,520 --> 00:09:35,000
Speaker 2: going to be a struggle between the incumbent who has

170
00:09:35,160 --> 00:09:37,560
Speaker 2: a lot of power because they're the president, and I

171
00:09:37,600 --> 00:09:39,880
Speaker 2: think like more and more party officials are going to

172
00:09:39,920 --> 00:09:42,280
Speaker 2: be like, it does not make sense for you to

173
00:09:42,320 --> 00:09:45,760
Speaker 2: be our candidate again. Everybody fucking hates you, like they

174
00:09:45,920 --> 00:09:49,000
Speaker 2: just don't like, like, no matter what you do, if

175
00:09:49,040 --> 00:09:53,680
Speaker 2: you have four years as president in our current media environment,

176
00:09:53,720 --> 00:09:56,319
Speaker 2: people are going to hate you. And then yeah, if

177
00:09:56,920 --> 00:10:00,840
Speaker 2: if Harris and Walls are able to like sprint through

178
00:10:00,880 --> 00:10:03,840
Speaker 2: the finish line, I think you're right, like that will

179
00:10:03,840 --> 00:10:07,720
Speaker 2: be even more reason for people to kind of change

180
00:10:07,760 --> 00:10:09,720
Speaker 2: the way they approach this and just be like, yeah,

181
00:10:09,720 --> 00:10:12,200
Speaker 2: what if we what if we like switch things up

182
00:10:12,240 --> 00:10:15,600
Speaker 2: all the time, What if you know, just throw throw

183
00:10:15,640 --> 00:10:18,080
Speaker 2: a Wammie in there, throw a reverse.

184
00:10:18,480 --> 00:10:21,240
Speaker 3: No, they just keep making the candidates get younger and

185
00:10:21,280 --> 00:10:22,400
Speaker 3: younger until their babies.

186
00:10:22,520 --> 00:10:26,280
Speaker 1: The president, right, but you only get to run for

187
00:10:26,320 --> 00:10:28,280
Speaker 1: one term, so at the age two.

188
00:10:28,120 --> 00:10:30,760
Speaker 3: To six, so they're like the baby is thirty or

189
00:10:30,760 --> 00:10:32,440
Speaker 3: the president is thirty six months old.

190
00:10:34,800 --> 00:10:36,120
Speaker 1: Now a lot of youthful energy.

191
00:10:36,360 --> 00:10:40,000
Speaker 2: That's right, What Jody is something you think is underrated?

192
00:10:40,280 --> 00:10:41,920
Speaker 1: I don't know if this is underrated. This might be

193
00:10:42,360 --> 00:10:44,520
Speaker 1: more what I've been listening to lately, but I was,

194
00:10:44,600 --> 00:10:48,480
Speaker 1: but I've been personally riding the rated and overrated and

195
00:10:48,559 --> 00:10:52,240
Speaker 1: underrated roller coaster with Charles Mingus lately. And that's because

196
00:10:53,240 --> 00:10:55,400
Speaker 1: in part because of the Kamala stuff and all those

197
00:10:55,400 --> 00:10:58,400
Speaker 1: pictures of her holding up all those records and one

198
00:10:58,400 --> 00:11:00,160
Speaker 1: of them was a Mingus record, And do you know

199
00:11:00,160 --> 00:11:02,640
Speaker 1: what I'm talking about, those those memes of her. So

200
00:11:02,679 --> 00:11:05,560
Speaker 1: there was there was this video of Kamala Harris, like

201
00:11:05,840 --> 00:11:08,040
Speaker 1: from a couple of years ago, and it started flying

202
00:11:08,080 --> 00:11:11,520
Speaker 1: around when she was once she captured the nomination, and

203
00:11:11,600 --> 00:11:13,640
Speaker 1: it was like her coming out of a record store

204
00:11:13,720 --> 00:11:15,880
Speaker 1: and she had like some you know, a lot of

205
00:11:15,920 --> 00:11:19,600
Speaker 1: great albums, and one of them was a Mingus album.

206
00:11:19,760 --> 00:11:22,320
Speaker 1: And then someone made a little thing you could where

207
00:11:22,320 --> 00:11:26,079
Speaker 1: you could like insert have her had like a photoshop

208
00:11:26,120 --> 00:11:28,679
Speaker 1: automatically photoshop her holding up any album you wanted, and

209
00:11:28,679 --> 00:11:30,560
Speaker 1: it was very clever, right But anyway, so it just

210
00:11:30,760 --> 00:11:32,320
Speaker 1: Mingus has been one of my favorite urts for a

211
00:11:32,360 --> 00:11:35,800
Speaker 1: long time and and seems weirdly criminally underrated. And it

212
00:11:35,880 --> 00:11:38,760
Speaker 1: was nice to see Kamala buying a Mingus album and

213
00:11:38,800 --> 00:11:41,760
Speaker 1: it's put me back on a very big Mingus kick

214
00:11:41,800 --> 00:11:45,280
Speaker 1: over the last couple of weeks. A jazz musician, oh yes, sorry,

215
00:11:45,440 --> 00:11:47,600
Speaker 1: jazz musician who also trained his cats how to use

216
00:11:47,600 --> 00:11:48,920
Speaker 1: the toilet. But that's another story.

217
00:11:49,160 --> 00:11:50,800
Speaker 5: Really, that's why I'm a fan of him.

218
00:11:50,960 --> 00:11:56,319
Speaker 1: Yeah, I actually jazz work. I just you're a fan

219
00:11:56,360 --> 00:11:59,480
Speaker 1: of the Charles Mingus a cat for toilet training your cats.

220
00:12:00,160 --> 00:12:01,839
Speaker 1: You used to be able to write Charles Mingus a

221
00:12:01,920 --> 00:12:05,719
Speaker 1: letter to a peel box in downtown Manhattan and then

222
00:12:05,880 --> 00:12:08,160
Speaker 1: if you and enclosed two dollars and then he would

223
00:12:08,160 --> 00:12:10,560
Speaker 1: mail you back a photo.

224
00:12:10,160 --> 00:12:13,640
Speaker 2: Method method, the method with the Mingas method.

225
00:12:13,440 --> 00:12:14,199
Speaker 1: It's incredible.

226
00:12:14,360 --> 00:12:18,080
Speaker 2: Yeah wow, And do we have access to that method?

227
00:12:18,320 --> 00:12:19,880
Speaker 1: Yeah? We did. I did a whole radio piece for

228
00:12:19,960 --> 00:12:22,120
Speaker 1: it one time, and then tried to train a kitten

229
00:12:22,240 --> 00:12:24,880
Speaker 1: using the Mingus method and it didn't work that way.

230
00:12:24,960 --> 00:12:28,560
Speaker 1: But but yeah, I talked to a cat. I talked

231
00:12:28,559 --> 00:12:31,079
Speaker 1: to a vet and like sort of cat psychologist who

232
00:12:31,520 --> 00:12:34,200
Speaker 1: validated that Mingus really had sort of tapped into something

233
00:12:34,240 --> 00:12:36,199
Speaker 1: about cat psychology in terms of the method he was

234
00:12:36,280 --> 00:12:39,040
Speaker 1: using to coax cats into using the.

235
00:12:39,000 --> 00:12:42,320
Speaker 2: Toilet was one of the steps, like play just the

236
00:12:42,400 --> 00:12:46,760
Speaker 2: smoothest jazz for them, like so that they get super relex.

237
00:12:48,360 --> 00:12:52,000
Speaker 3: There's some joke about scatting in here.

238
00:12:50,440 --> 00:12:53,920
Speaker 2: There is there is, It's in there.

239
00:12:54,559 --> 00:12:59,880
Speaker 3: I saw Kamala won some Italian pasta making contests, like

240
00:13:00,040 --> 00:13:02,360
Speaker 3: all of these things from when she was like from

241
00:13:02,400 --> 00:13:06,360
Speaker 3: twenty twelve or something. All of these random facts are

242
00:13:06,360 --> 00:13:09,520
Speaker 3: coming out about her, and it's just very surprising, Like

243
00:13:09,600 --> 00:13:11,439
Speaker 3: what's being unearthed?

244
00:13:12,160 --> 00:13:14,480
Speaker 2: That's cool. What is something you think is overrated?

245
00:13:14,559 --> 00:13:18,280
Speaker 1: Jody, Okay, here's what I've been thinking about a lot.

246
00:13:18,360 --> 00:13:20,440
Speaker 1: And I don't know if I think it's overrated underrate,

247
00:13:20,520 --> 00:13:22,360
Speaker 1: but I've been sort of working through it. But I

248
00:13:23,280 --> 00:13:26,960
Speaker 1: have maybe reached a saturation point on talking about vibes

249
00:13:27,200 --> 00:13:29,880
Speaker 1: and like it's a phrase that I use a lot.

250
00:13:29,960 --> 00:13:33,680
Speaker 1: I find it very useful I will very likely utter

251
00:13:33,720 --> 00:13:36,840
Speaker 1: it at some point in our upcoming conversation. But I

252
00:13:36,880 --> 00:13:39,640
Speaker 1: have been catching myself lately and been like, maybe this

253
00:13:39,840 --> 00:13:43,240
Speaker 1: term has run its course and maybe its aura. Now,

254
00:13:43,360 --> 00:13:46,120
Speaker 1: did you know right exactly? Yeah, yeah, but ora is.

255
00:13:46,120 --> 00:13:47,800
Speaker 5: A little it's the same thing.

256
00:13:48,600 --> 00:13:51,800
Speaker 1: Yes, in theory, it is right, but it doesn't aura

257
00:13:51,880 --> 00:13:55,640
Speaker 1: feel like it's being used more to talk about individuals,

258
00:13:56,400 --> 00:13:58,440
Speaker 1: the presence in a room and vib is.

259
00:13:58,520 --> 00:14:01,760
Speaker 3: More more flexible. It be a person, or it can

260
00:14:01,880 --> 00:14:04,840
Speaker 3: be like the general feeling in the room right or.

261
00:14:05,440 --> 00:14:07,839
Speaker 1: In the country or whatever. Yeah, but you know, I've

262
00:14:07,840 --> 00:14:09,920
Speaker 1: been hearing it. I mean, you know it's it has

263
00:14:09,960 --> 00:14:13,000
Speaker 1: clearly reached a saturation point and maybe a played out

264
00:14:13,040 --> 00:14:15,240
Speaker 1: point is the sort of what I'm identifying. But you

265
00:14:15,280 --> 00:14:18,640
Speaker 1: know I'm hearing it like on fucking like Meet the Press,

266
00:14:18,640 --> 00:14:21,240
Speaker 1: They're like, yeah, calm of the vibes around common Like, okay,

267
00:14:21,280 --> 00:14:23,520
Speaker 1: that's probably a flashing CD.

268
00:14:24,360 --> 00:14:27,280
Speaker 3: You know, it's definitely like old head news now or

269
00:14:27,640 --> 00:14:31,560
Speaker 3: head terminology. But I'm like, yeah, I'm definitely in the

270
00:14:31,680 --> 00:14:34,720
Speaker 3: like embracing the hello fellow kids moment where I'm just like,

271
00:14:34,880 --> 00:14:36,560
Speaker 3: I'm I'm still going to use it.

272
00:14:36,560 --> 00:14:39,320
Speaker 5: It's still it's I don't care if it dates.

273
00:14:39,160 --> 00:14:41,680
Speaker 1: Me, And it is very useful for when you kind

274
00:14:41,680 --> 00:14:45,840
Speaker 1: of like I mean, I think like intuition, sort of

275
00:14:45,840 --> 00:14:49,440
Speaker 1: that ineffable thing about like excitement and emotion feeling like

276
00:14:49,520 --> 00:14:51,240
Speaker 1: sometimes it's a little hard to put language that in

277
00:14:51,320 --> 00:14:53,600
Speaker 1: vibes is very useful in that case. But I also

278
00:14:53,640 --> 00:14:55,640
Speaker 1: sometimes feel like people are just falling back on it

279
00:14:55,840 --> 00:14:56,320
Speaker 1: way too much.

280
00:14:56,360 --> 00:15:00,000
Speaker 3: I think it can also be like discriminatory, not because

281
00:15:00,080 --> 00:15:04,280
Speaker 3: I do think that back like ten whatever years ago

282
00:15:04,480 --> 00:15:06,760
Speaker 3: in Silicon Valley, they would always call it like we

283
00:15:06,800 --> 00:15:08,840
Speaker 3: don't know how your fit will be at this company,

284
00:15:08,920 --> 00:15:09,880
Speaker 3: and that was always like.

285
00:15:10,080 --> 00:15:11,960
Speaker 5: Coded racist terms or something.

286
00:15:12,120 --> 00:15:16,240
Speaker 3: Yeah, and so it can be used like in that

287
00:15:16,280 --> 00:15:19,760
Speaker 3: way too. So it's definitely fun that it's intangible, but

288
00:15:19,800 --> 00:15:23,560
Speaker 3: it can also be used weaponized in a way that's

289
00:15:23,600 --> 00:15:24,000
Speaker 3: not good.

290
00:15:24,320 --> 00:15:25,680
Speaker 1: Right, You just say the vibes are off it. You

291
00:15:25,680 --> 00:15:26,880
Speaker 1: don't have to really copey on that.

292
00:15:27,360 --> 00:15:30,800
Speaker 2: Yeah, exactly, not quite sure. It's just the vibes. Something

293
00:15:30,800 --> 00:15:33,720
Speaker 2: about the vibes, toxic vibes.

294
00:15:33,840 --> 00:15:35,240
Speaker 5: The vibe seemed ethnic.

295
00:15:38,600 --> 00:15:42,080
Speaker 2: He's being called the vibes candidate, Like, I feel like

296
00:15:42,160 --> 00:15:49,600
Speaker 2: that was every news lead on Tim Walls. For sure, Yeah, yeah,

297
00:15:49,720 --> 00:15:53,160
Speaker 2: it's any any way that you can like. Once it

298
00:15:53,240 --> 00:15:59,960
Speaker 2: becomes adopted by establishment powers, then it becomes a tool

299
00:16:00,200 --> 00:16:04,360
Speaker 2: for like you said, like on all the Tangibles they're great,

300
00:16:04,800 --> 00:16:08,240
Speaker 2: but the Vibes category they were they scored a zero

301
00:16:08,240 --> 00:16:11,200
Speaker 2: point five out of ten. And we're not sure why,

302
00:16:11,320 --> 00:16:14,440
Speaker 2: but the you know, like it just gives you a

303
00:16:14,480 --> 00:16:17,640
Speaker 2: new language for doing whatever the fuck you want.

304
00:16:17,920 --> 00:16:20,840
Speaker 3: Essentially, they always said that a joke was dead when

305
00:16:20,880 --> 00:16:22,720
Speaker 3: it hit late night, when like a late night host

306
00:16:22,760 --> 00:16:25,080
Speaker 3: would start using it like an internet joke, and then

307
00:16:25,120 --> 00:16:26,360
Speaker 3: you're like, all right, that's done.

308
00:16:26,400 --> 00:16:26,960
Speaker 5: We're done with that.

309
00:16:27,160 --> 00:16:28,880
Speaker 1: Oh and you know, Jimmy Fallon has been talking about

310
00:16:28,960 --> 00:16:32,240
Speaker 1: vibes for a year and a half ages. Yeah, oh

311
00:16:32,360 --> 00:16:35,360
Speaker 1: my god, it's dead. But I like zeitgeist. I mean

312
00:16:35,360 --> 00:16:37,160
Speaker 1: there's a word that I find myself using a lot

313
00:16:37,200 --> 00:16:39,120
Speaker 1: and what do you what's your tagline? And then showed

314
00:16:39,120 --> 00:16:43,000
Speaker 1: the shared shared consciousness. That's a nice little I like that.

315
00:16:43,200 --> 00:16:44,760
Speaker 1: But that's what it's kind of getting at. And I

316
00:16:44,800 --> 00:16:47,040
Speaker 1: think it is useful to talk about that kind of stuff,

317
00:16:47,080 --> 00:16:47,280
Speaker 1: you know.

318
00:16:47,640 --> 00:16:51,400
Speaker 2: And this is good because we're canceling our planned rebrand

319
00:16:51,640 --> 00:16:55,760
Speaker 2: to be the American Vibes Cast. Was there a new.

320
00:16:55,640 --> 00:16:59,040
Speaker 3: Title Vibes Cast USA.

321
00:16:59,520 --> 00:17:04,080
Speaker 2: That's right, you're gonna be hosted by Casey case All right, Uh,

322
00:17:04,240 --> 00:17:06,400
Speaker 2: let's take a quick break and we'll come back and

323
00:17:06,720 --> 00:17:20,560
Speaker 2: talk some news. We'll be right back, and we're back,

324
00:17:21,480 --> 00:17:25,520
Speaker 2: and the vibes of this show may never recover from

325
00:17:25,840 --> 00:17:30,280
Speaker 2: the al Gore tipper door kiss that has entered my mind.

326
00:17:30,680 --> 00:17:33,639
Speaker 2: And I don't know, like I wonder are we doing

327
00:17:33,680 --> 00:17:36,720
Speaker 2: a disservice to our younger listeners, because I do feel

328
00:17:36,760 --> 00:17:42,280
Speaker 2: like it had been somewhat purged from the shared consciousness,

329
00:17:42,480 --> 00:17:44,600
Speaker 2: Like I feel like it was where we were like

330
00:17:44,680 --> 00:17:47,919
Speaker 2: we're actually doing a solid for ourselves for a mental

331
00:17:47,920 --> 00:17:50,119
Speaker 2: well being, and we're going to pretend that never happened

332
00:17:50,119 --> 00:17:52,200
Speaker 2: because he didn't win, so like you don't you don't

333
00:17:52,240 --> 00:17:55,200
Speaker 2: have to like remember it. But yeah, that sucked.

334
00:17:55,320 --> 00:17:55,840
Speaker 1: I'm happy to.

335
00:18:00,160 --> 00:18:00,320
Speaker 5: Bed.

336
00:18:01,119 --> 00:18:02,919
Speaker 3: I really hope I never get to a point in

337
00:18:02,920 --> 00:18:05,159
Speaker 3: my life where someone sees me kiss somebody else and

338
00:18:05,280 --> 00:18:06,360
Speaker 3: is like that sucks.

339
00:18:07,320 --> 00:18:15,000
Speaker 2: Oh God, I guess watching watching people kiss is never great,

340
00:18:15,440 --> 00:18:19,399
Speaker 2: Like even movie kisses. I'm always like, is that really?

341
00:18:19,440 --> 00:18:22,800
Speaker 2: I don't know, like that it never feels great, but

342
00:18:22,920 --> 00:18:25,880
Speaker 2: that that one is way way off, way off base,

343
00:18:25,960 --> 00:18:29,919
Speaker 2: your way off bass Al Gore, all right, Donald Trump,

344
00:18:30,080 --> 00:18:36,280
Speaker 2: Elon Musk, the Big interview vibes, So we are and

345
00:18:36,320 --> 00:18:39,200
Speaker 2: by the way, we are completely just leaning in.

346
00:18:39,119 --> 00:18:42,399
Speaker 1: On vibes and I apologize Judy's.

347
00:18:42,520 --> 00:18:44,840
Speaker 2: The We will not be using it to fire anyone.

348
00:18:45,119 --> 00:18:48,840
Speaker 2: During carrying this episode, it was this like to announce

349
00:18:48,880 --> 00:18:50,840
Speaker 2: that Donald Trump was back on Twitter, I couldn't. I

350
00:18:50,880 --> 00:18:54,320
Speaker 2: couldn't tell, Like it seemed like that was part of

351
00:18:54,359 --> 00:18:56,640
Speaker 2: what people were saying, like, was it just he's back

352
00:18:56,720 --> 00:18:58,160
Speaker 2: because he's doing the interview.

353
00:18:59,040 --> 00:19:02,640
Speaker 3: I don't, No, I feel like he came back and

354
00:19:02,680 --> 00:19:04,920
Speaker 3: they interviewed. I don't know if it was in conjunction

355
00:19:05,000 --> 00:19:07,919
Speaker 3: with that. I think it was definitely for Elon Musk

356
00:19:08,119 --> 00:19:10,399
Speaker 3: just to kind of be on his dick, you know

357
00:19:10,400 --> 00:19:10,840
Speaker 3: what I mean.

358
00:19:11,000 --> 00:19:14,640
Speaker 5: I think it was just for Elon Musk to tell.

359
00:19:14,640 --> 00:19:17,760
Speaker 2: The trold why association, Yeah.

360
00:19:17,440 --> 00:19:20,639
Speaker 3: Why he's voting for him and doesn't care about the

361
00:19:20,640 --> 00:19:24,119
Speaker 3: comments he made about electric vehicles or anything. Right, So

362
00:19:24,160 --> 00:19:27,119
Speaker 3: I'm not sure, but it definitely is a move of

363
00:19:27,200 --> 00:19:29,720
Speaker 3: desperation for him to come back to Twitter because the

364
00:19:29,760 --> 00:19:33,359
Speaker 3: stuff he was posting on truth social was insane, and

365
00:19:33,400 --> 00:19:35,399
Speaker 3: so now he's like, let me bring that back to Twitter,

366
00:19:35,480 --> 00:19:36,879
Speaker 3: because Twitter isn't assessedool?

367
00:19:36,920 --> 00:19:40,199
Speaker 1: But has he started posting posting again because his account

368
00:19:40,280 --> 00:19:43,120
Speaker 1: got reinstated right by mostous was one of his first

369
00:19:43,119 --> 00:19:45,920
Speaker 1: moves after he took over. And then yeah, I think

370
00:19:45,920 --> 00:19:48,200
Speaker 1: this is clearly he's trying to do this and try

371
00:19:48,240 --> 00:19:51,520
Speaker 1: and get him. It's funny how Trump posting on Twitter,

372
00:19:51,840 --> 00:19:57,359
Speaker 1: like everyone thinks that's good. Well, I mean Democrats like, yeah,

373
00:19:57,560 --> 00:19:59,840
Speaker 1: go for it. Yeah, I mean, you know what, love

374
00:20:00,119 --> 00:20:03,640
Speaker 1: this guy to be. It's like you you being crazy

375
00:20:03,720 --> 00:20:06,600
Speaker 1: fifteen times a yeah, right into people's feeds. And then

376
00:20:06,680 --> 00:20:09,159
Speaker 1: Republicans are obviously like, yeah, you know, we don't want to.

377
00:20:09,280 --> 00:20:14,359
Speaker 3: He has been posting insane shit on Twitter, like recently

378
00:20:14,400 --> 00:20:16,800
Speaker 3: starting audio well, it was starting yesterday.

379
00:20:16,800 --> 00:20:17,480
Speaker 1: Actually, there you go.

380
00:20:17,560 --> 00:20:19,000
Speaker 5: He's so yeah.

381
00:20:19,320 --> 00:20:23,399
Speaker 3: His first tweetback was like a like a two minute

382
00:20:23,480 --> 00:20:27,360
Speaker 3: video of him speaking to crowds and stuff, and then

383
00:20:27,520 --> 00:20:29,360
Speaker 3: the next one was are you better off now than

384
00:20:29,359 --> 00:20:31,639
Speaker 3: when you then you were when I was president? Our

385
00:20:31,680 --> 00:20:33,560
Speaker 3: economy is shattered, our border has been raised for a

386
00:20:33,640 --> 00:20:35,879
Speaker 3: nation in decline. Make the American dream affordable again, make

387
00:20:35,880 --> 00:20:38,080
Speaker 3: America safe again, America, make America great again.

388
00:20:38,320 --> 00:20:39,600
Speaker 5: And then just a lot of.

389
00:20:39,520 --> 00:20:42,840
Speaker 2: Like I want to see where he's going with this.

390
00:20:42,960 --> 00:20:47,399
Speaker 2: That sounds pretty good. It was just like campaign talking points.

391
00:20:47,440 --> 00:20:51,600
Speaker 3: It doesn't campaign talking points. A lot of really weird

392
00:20:51,720 --> 00:20:53,120
Speaker 3: graphics of him and and I.

393
00:20:53,040 --> 00:20:55,879
Speaker 1: Mean, life was great four years ago. It's a little

394
00:20:57,240 --> 00:20:59,480
Speaker 1: it's a little hazy, but I feel like summer twenty

395
00:20:59,560 --> 00:21:00,119
Speaker 1: twenty it.

396
00:21:01,600 --> 00:21:04,159
Speaker 3: Kind of was because he did get COVID and that

397
00:21:04,280 --> 00:21:05,160
Speaker 3: was fucking awesome.

398
00:21:05,600 --> 00:21:08,120
Speaker 1: Ye may have been Twitter's greatest night ever.

399
00:21:08,320 --> 00:21:10,119
Speaker 5: That was a wonderful moment for Twitter.

400
00:21:10,920 --> 00:21:15,040
Speaker 2: So just big, big picture impressions. There seems to be

401
00:21:15,119 --> 00:21:18,639
Speaker 2: a lot of talk about the word I'm seeing is slurring,

402
00:21:18,920 --> 00:21:23,919
Speaker 2: that Donald Trump was slurring. Yeah, it felt more like

403
00:21:24,040 --> 00:21:27,760
Speaker 2: he was speaking without his teeth in, or his dentures

404
00:21:27,760 --> 00:21:32,199
Speaker 2: were sliding out, or like becoming unstuck. It sounded like

405
00:21:32,240 --> 00:21:35,240
Speaker 2: he had old prospector mouth going on, you know.

406
00:21:37,119 --> 00:21:38,080
Speaker 5: Allations.

407
00:21:38,640 --> 00:21:44,040
Speaker 2: Yeah, the scourge of old prospector mouth that you have

408
00:21:44,119 --> 00:21:47,720
Speaker 2: to a cordon off and quarantine year old prospectors if

409
00:21:47,880 --> 00:21:52,480
Speaker 2: you notice it in your old prospecting community. But yeah,

410
00:21:52,600 --> 00:21:57,040
Speaker 2: I mean, I don't know. It does feel like part

411
00:21:57,080 --> 00:22:01,439
Speaker 2: of the energy that has been released from the switch

412
00:22:01,480 --> 00:22:04,800
Speaker 2: to Kamala Harris is all the stuff that was bad

413
00:22:04,840 --> 00:22:08,399
Speaker 2: about Biden we can now point out about Trump and

414
00:22:09,080 --> 00:22:14,960
Speaker 2: him slurring and seeming incredibly old is one of those things.

415
00:22:15,000 --> 00:22:18,680
Speaker 3: So I think that's they still haven't gotten the memo though,

416
00:22:18,680 --> 00:22:22,919
Speaker 3: because in that space, he was still attacking Biden, like

417
00:22:23,000 --> 00:22:25,160
Speaker 3: he still didn't want to let go of his talking

418
00:22:25,200 --> 00:22:27,680
Speaker 3: points about Biden, and then he kind of slipped Kamala's

419
00:22:27,760 --> 00:22:30,680
Speaker 3: name in there, and it was like, you sound insane

420
00:22:30,760 --> 00:22:34,240
Speaker 3: right now because you sound old, right and you're still

421
00:22:34,960 --> 00:22:38,360
Speaker 3: attacking someone who isn't even there, Like he's not convinced

422
00:22:38,400 --> 00:22:40,119
Speaker 3: he's in the current race as it is.

423
00:22:40,800 --> 00:22:44,399
Speaker 1: Yeah, yeah, I mean, he desperately wants to keep running

424
00:22:44,400 --> 00:22:47,399
Speaker 1: against Biden. And I think it's like that campaign was

425
00:22:47,400 --> 00:22:50,840
Speaker 1: like and it's sort of incredible that they didn't. It

426
00:22:51,000 --> 00:22:53,080
Speaker 1: seems to have really not occurred to them that Biden

427
00:22:53,080 --> 00:22:55,480
Speaker 1: would really drop out, and they were called flat footed,

428
00:22:55,480 --> 00:22:57,040
Speaker 1: which is kind of stunning because I think it was

429
00:22:57,080 --> 00:22:59,320
Speaker 1: pretty obvious for a while at least it was a

430
00:22:59,320 --> 00:23:03,359
Speaker 1: big possibility. But the slurring lisping thing, I mean, my

431
00:23:03,440 --> 00:23:06,600
Speaker 1: first instinct with stuff like that is that I tend

432
00:23:06,680 --> 00:23:08,400
Speaker 1: to get a little I tend to be a little

433
00:23:08,400 --> 00:23:11,479
Speaker 1: dismissive of it and get a little exasperated of it

434
00:23:11,520 --> 00:23:13,439
Speaker 1: because it feels a little bit of like, you know,

435
00:23:13,600 --> 00:23:16,920
Speaker 1: orange Man, bad Resistance, blue wave shugar kind of thing

436
00:23:16,960 --> 00:23:20,360
Speaker 1: to focus on. And it's like, yeah, you know, why

437
00:23:20,400 --> 00:23:24,280
Speaker 1: not just keep focusing on The guy is clearly aduled,

438
00:23:24,359 --> 00:23:26,560
Speaker 1: And the thing that's adult that tells you he's addled

439
00:23:26,680 --> 00:23:28,800
Speaker 1: is not some like slur that you may hear. It's

440
00:23:28,840 --> 00:23:30,760
Speaker 1: like the actual words coming out of is the fact

441
00:23:30,760 --> 00:23:31,480
Speaker 1: that they can't put together.

442
00:23:33,680 --> 00:23:33,840
Speaker 5: Yes.

443
00:23:35,560 --> 00:23:38,680
Speaker 1: But then and then I like, also the radio producer

444
00:23:38,680 --> 00:23:41,080
Speaker 1: of me was like, yeah, microphones are really wonky things,

445
00:23:41,119 --> 00:23:43,320
Speaker 1: and like sometimes connects to the combiny. We've all been

446
00:23:43,359 --> 00:23:45,119
Speaker 1: on zoom calls where like you're talking to someone's like

447
00:23:45,160 --> 00:23:47,240
Speaker 1: you sound like a robot, Like what's going on? So

448
00:23:47,280 --> 00:23:50,000
Speaker 1: I'm like, maybe it's that. But then I saw a

449
00:23:50,119 --> 00:23:54,320
Speaker 1: video from like inside the room that was shot and

450
00:23:54,520 --> 00:23:58,600
Speaker 1: presumably released on purpose by someone in his camp, and

451
00:23:58,720 --> 00:24:01,639
Speaker 1: he's like kind of Lispian slurring, So now I'm like,

452
00:24:01,640 --> 00:24:04,040
Speaker 1: maybe it's the denture thing. I don't know it's And

453
00:24:04,119 --> 00:24:06,600
Speaker 1: like that's just such an encapsulation of this moment where

454
00:24:06,640 --> 00:24:09,000
Speaker 1: it's like you want to be the rational one who

455
00:24:09,000 --> 00:24:12,280
Speaker 1: doesn't go down the conspiracy theory rabbit hole. But then

456
00:24:12,320 --> 00:24:15,240
Speaker 1: it's like maybe it actually is, and like, you know,

457
00:24:15,280 --> 00:24:16,600
Speaker 1: it's just very destabilizing.

458
00:24:17,400 --> 00:24:17,880
Speaker 2: Yeah.

459
00:24:17,960 --> 00:24:20,040
Speaker 3: The one thing I would say, the reason that it

460
00:24:20,240 --> 00:24:24,680
Speaker 3: is important and that it's not just like blue wave Twitter,

461
00:24:25,640 --> 00:24:29,920
Speaker 3: like it goes outside of that bubble is because how

462
00:24:29,960 --> 00:24:33,600
Speaker 3: this election has been run has not been on policy.

463
00:24:33,720 --> 00:24:35,000
Speaker 5: It's been on aesthetics.

464
00:24:35,160 --> 00:24:39,200
Speaker 3: Yes, and so because we are playing the Republican's game,

465
00:24:39,840 --> 00:24:42,840
Speaker 3: I think even though it's kind of been proven that

466
00:24:43,640 --> 00:24:46,720
Speaker 3: voters don't really give a shit about hypocrisy, I think

467
00:24:46,800 --> 00:24:50,000
Speaker 3: if we're going to kind of beat them at their

468
00:24:50,040 --> 00:24:53,560
Speaker 3: own game, then you have to point out these inconsistencies

469
00:24:53,960 --> 00:24:56,120
Speaker 3: and how he kind of fulfills.

470
00:24:55,640 --> 00:24:58,280
Speaker 5: Their version of weak. Yea, because this whole thing has.

471
00:24:58,160 --> 00:25:02,520
Speaker 3: Been I'm strong, law order whatever, this man's old, he

472
00:25:02,560 --> 00:25:03,520
Speaker 3: doesn't know what he's doing.

473
00:25:03,600 --> 00:25:06,920
Speaker 5: And then you have like, like.

474
00:25:05,640 --> 00:25:08,240
Speaker 3: His whole thing is he came on Twitter not to

475
00:25:08,320 --> 00:25:12,560
Speaker 3: have a contentious interview. This wasn't the black journalist you know, Caucus.

476
00:25:12,600 --> 00:25:16,240
Speaker 3: This was this was a very easy interview, and it's

477
00:25:16,320 --> 00:25:19,359
Speaker 3: still caused people to think he was weak as a

478
00:25:19,400 --> 00:25:22,399
Speaker 3: presidential candidate. So I think that's why it's being emphasized

479
00:25:22,400 --> 00:25:23,000
Speaker 3: so strongly.

480
00:25:23,960 --> 00:25:24,520
Speaker 1: Yeah.

481
00:25:24,600 --> 00:25:27,160
Speaker 2: So in terms of there was also the fact that

482
00:25:27,680 --> 00:25:31,480
Speaker 2: it took them a good thirty minutes to get things

483
00:25:31,920 --> 00:25:34,480
Speaker 2: forty minutes to get things up and running. Not a

484
00:25:34,480 --> 00:25:38,520
Speaker 2: great look. This is the second time that they've tried

485
00:25:38,560 --> 00:25:44,600
Speaker 2: to create a big like appointment viewing moment on x post,

486
00:25:44,640 --> 00:25:48,840
Speaker 2: you know, Elon Musk and just like with the DeSantis

487
00:25:48,960 --> 00:25:53,640
Speaker 2: announcing his candidacy, glitched out forty minutes late. A lot

488
00:25:53,680 --> 00:25:56,320
Speaker 2: of like blame going round, a lot of denial that

489
00:25:56,359 --> 00:25:59,440
Speaker 2: it was glitching out, a lot of you know, blaming,

490
00:25:59,560 --> 00:26:02,840
Speaker 2: saying that Democrats were like trying to stop, yeah, launch

491
00:26:02,880 --> 00:26:05,800
Speaker 2: a d DAWs attack, Which that.

492
00:26:05,880 --> 00:26:06,719
Speaker 5: Was so funny.

493
00:26:06,960 --> 00:26:09,320
Speaker 2: It was so funny to actually say that.

494
00:26:09,920 --> 00:26:12,960
Speaker 3: I think, I don't know, I don't know what that was,

495
00:26:13,200 --> 00:26:17,600
Speaker 3: but I think, like, if that's the case, I like,

496
00:26:18,040 --> 00:26:20,000
Speaker 3: I just think it's so funny because you're saying that

497
00:26:20,040 --> 00:26:22,640
Speaker 3: you're susceptible to that after being at Twitter for so long,

498
00:26:22,840 --> 00:26:25,240
Speaker 3: you're saying that you're not as smart as the Democrats

499
00:26:25,359 --> 00:26:29,960
Speaker 3: at reassuring the people using your platform that you can

500
00:26:30,359 --> 00:26:32,360
Speaker 3: be secure against those types of attacks.

501
00:26:32,800 --> 00:26:36,160
Speaker 1: Yeah, I don't know if you specifically blamed that Democrats

502
00:26:36,280 --> 00:26:39,480
Speaker 1: definitely floated the idea that they were under a DEDOS attack.

503
00:26:39,600 --> 00:26:43,960
Speaker 1: And first off, I mean the Washington Post, who had

504
00:26:43,960 --> 00:26:45,840
Speaker 1: a much better article about this than the New York Times,

505
00:26:45,920 --> 00:26:48,440
Speaker 1: I gotta say, But the Washington Post like called someone

506
00:26:48,480 --> 00:26:51,199
Speaker 1: at Twitter and was like, were you guys under and

507
00:26:51,200 --> 00:26:53,040
Speaker 1: the guy and they were like no, every other part

508
00:26:53,040 --> 00:26:55,120
Speaker 1: of Twitter was working just fine. Like you know, it's

509
00:26:55,160 --> 00:26:57,080
Speaker 1: just not you know, I think you scratch at that

510
00:26:57,240 --> 00:26:59,359
Speaker 1: excuse and it falls apart pretty quickly. But I do

511
00:26:59,520 --> 00:27:04,120
Speaker 1: like the possibility that has put that into the zeitgeist

512
00:27:04,200 --> 00:27:06,680
Speaker 1: as a possible excuse for when things are going bad.

513
00:27:06,720 --> 00:27:09,240
Speaker 1: I'm going to start trotting out, yeah, I'm under addos

514
00:27:09,320 --> 00:27:12,080
Speaker 1: account and attack anytime something goes wrong for me.

515
00:27:12,560 --> 00:27:17,040
Speaker 3: I'm trying to look through Elon Musk's replies to see

516
00:27:17,080 --> 00:27:20,680
Speaker 3: where he talked about the Democrats. This man I'm scrolling

517
00:27:20,720 --> 00:27:23,359
Speaker 3: and it's just a few hours back from now. This

518
00:27:23,480 --> 00:27:27,040
Speaker 3: man is constantly on Twitter. Yes, like he's not like

519
00:27:27,240 --> 00:27:30,600
Speaker 3: I understand using, but doesn't he have a lot of

520
00:27:30,640 --> 00:27:31,119
Speaker 3: work to do?

521
00:27:31,920 --> 00:27:33,360
Speaker 5: Like this is insane.

522
00:27:33,840 --> 00:27:36,720
Speaker 1: He just bought it to be Twitter Twitter guy number one.

523
00:27:36,720 --> 00:27:38,639
Speaker 1: I mean just he literally bought the company because he

524
00:27:38,720 --> 00:27:40,480
Speaker 1: just wanted to be able to tweet all day.

525
00:27:40,480 --> 00:27:44,480
Speaker 2: And call it for Twitter. That's so wild in terms

526
00:27:44,480 --> 00:27:47,800
Speaker 2: of the context of what they were talking about. It

527
00:27:48,000 --> 00:27:52,120
Speaker 2: felt like a couple of billionaires gassing each other up,

528
00:27:53,040 --> 00:27:57,200
Speaker 2: saying things that you would say if you didn't realize

529
00:27:57,240 --> 00:28:00,560
Speaker 2: you were being recorded. And like at Davos, like Trump

530
00:28:00,640 --> 00:28:06,719
Speaker 2: talked approvingly about Elon Musk's attempts to intimidate workers in

531
00:28:07,080 --> 00:28:10,560
Speaker 2: a way that got them both sued the next morning,

532
00:28:10,800 --> 00:28:16,800
Speaker 2: Like the UAW on Tuesday filed federal labor charges alleging

533
00:28:17,000 --> 00:28:19,919
Speaker 2: that Trump and Elon Musk attempted to intimidate and threaten

534
00:28:20,000 --> 00:28:24,919
Speaker 2: workers during their Monday evening interview on x And you know,

535
00:28:25,320 --> 00:28:29,920
Speaker 2: from a political standpoint, it gave the UAW an opportunity

536
00:28:30,080 --> 00:28:34,200
Speaker 2: to reiterate why they think Trump is really bad and

537
00:28:34,560 --> 00:28:40,920
Speaker 2: why they do not endorse him. It was just again,

538
00:28:40,960 --> 00:28:45,120
Speaker 2: you keep seeing these calls from within the Trump campaign

539
00:28:45,880 --> 00:28:49,920
Speaker 2: and within Republican circles to like rein it in and

540
00:28:50,000 --> 00:28:53,160
Speaker 2: like stay on message, and it's just like that is

541
00:28:53,800 --> 00:28:58,120
Speaker 2: definitely not who you signed up with, you know, like

542
00:28:58,200 --> 00:28:58,880
Speaker 2: that is I.

543
00:28:58,840 --> 00:29:01,320
Speaker 1: Mean, this is the message. There's no message to stay

544
00:29:01,360 --> 00:29:04,080
Speaker 1: on I mean people haven't realized that by now. I mean,

545
00:29:04,160 --> 00:29:08,320
Speaker 1: like I thought this after the NABJ thing, where honestly,

546
00:29:08,360 --> 00:29:10,760
Speaker 1: my first thought when Trump gave that interview to that

547
00:29:10,840 --> 00:29:14,480
Speaker 1: National Association back journalisty, you know, question whether Kamlo is

548
00:29:14,480 --> 00:29:16,680
Speaker 1: actually black? And I had the same thought after this,

549
00:29:16,880 --> 00:29:19,360
Speaker 1: I literally was like that probably went about as well

550
00:29:19,400 --> 00:29:21,640
Speaker 1: as it could have, Like what else should we have expected?

551
00:29:21,760 --> 00:29:24,400
Speaker 1: Like this is this is it for him? Like this

552
00:29:24,560 --> 00:29:28,800
Speaker 1: is what we have. This isn't an aberration or a failure.

553
00:29:29,000 --> 00:29:32,880
Speaker 1: It is just who the person is. And Americans don't

554
00:29:33,000 --> 00:29:35,160
Speaker 1: like that person. And I think the more that person

555
00:29:35,240 --> 00:29:36,920
Speaker 1: is in front of them, the more they remember that

556
00:29:36,960 --> 00:29:39,440
Speaker 1: they don't like that person. And so you know, yeah,

557
00:29:39,440 --> 00:29:40,120
Speaker 1: we'll see.

558
00:29:40,240 --> 00:29:42,640
Speaker 2: He said, I mean, I look at what you do.

559
00:29:42,680 --> 00:29:45,360
Speaker 2: You walk in, you say you want to quit, they

560
00:29:45,400 --> 00:29:47,640
Speaker 2: go on strike. I will mention the name of the company,

561
00:29:47,760 --> 00:29:49,560
Speaker 2: but they go on strike. And you said that's okay,

562
00:29:49,680 --> 00:29:53,240
Speaker 2: You're all gone. I'm sure. Elon Musk was like, like,

563
00:29:53,320 --> 00:29:56,840
Speaker 2: guess he's saying that. Likewise, it's like no, no, no, that

564
00:29:56,880 --> 00:29:59,760
Speaker 2: would be illegal. That is that thing you just said,

565
00:29:59,800 --> 00:30:05,440
Speaker 2: i'd you is not legal, but also said jokingly but

566
00:30:06,080 --> 00:30:12,360
Speaker 2: in a way that while discounting global warming and climate change,

567
00:30:12,760 --> 00:30:15,120
Speaker 2: you know, said that like, at most it's an eighth

568
00:30:15,120 --> 00:30:19,080
Speaker 2: of an inch every three hundred years of sea level rise,

569
00:30:19,200 --> 00:30:23,560
Speaker 2: which is like one to one thousandth of what middle

570
00:30:23,600 --> 00:30:26,440
Speaker 2: of the road estimates are. And then he also said

571
00:30:26,480 --> 00:30:29,520
Speaker 2: that it was going to create more beachfront property, like

572
00:30:29,840 --> 00:30:35,680
Speaker 2: fucking lex Luthor, which is just like it's a thing

573
00:30:35,800 --> 00:30:38,440
Speaker 2: that a rich guy would say to another rich guy

574
00:30:38,560 --> 00:30:41,880
Speaker 2: in confidence, you know, and be like yeah, you know,

575
00:30:42,200 --> 00:30:46,440
Speaker 2: like fun joke, but just such a fucking wild thing

576
00:30:46,800 --> 00:30:47,200
Speaker 2: to say that.

577
00:30:47,320 --> 00:30:50,040
Speaker 3: That's also not the only time they joked about people

578
00:30:50,160 --> 00:30:52,880
Speaker 3: dying and not giving a shit in this entire thing,

579
00:30:53,000 --> 00:30:55,280
Speaker 3: right like, we'll talk about it. But later on they

580
00:30:55,280 --> 00:30:58,600
Speaker 3: talked about Hiroshima and stuff in the same flippant way,

581
00:30:59,080 --> 00:31:01,960
Speaker 3: like they did not care that people would die. They

582
00:31:02,080 --> 00:31:03,640
Speaker 3: literally just look at it as property.

583
00:31:04,000 --> 00:31:07,720
Speaker 1: I mean, so much of the GOP power base seems

584
00:31:07,720 --> 00:31:11,360
Speaker 1: to be around this way, you know, where you described rightly, Jack,

585
00:31:11,440 --> 00:31:15,000
Speaker 1: like just two rich guys chatting with each other, and like,

586
00:31:15,160 --> 00:31:18,560
Speaker 1: you know, the whole world of like these VC red

587
00:31:18,560 --> 00:31:20,720
Speaker 1: pilled podcasts that seem to have like a lot of

588
00:31:20,800 --> 00:31:23,200
Speaker 1: juice inside the Trump world right now, and then this

589
00:31:23,640 --> 00:31:27,360
Speaker 1: was effectively that, right, So I guess I'm curious what

590
00:31:27,400 --> 00:31:29,440
Speaker 1: you the two of you think about whether this then

591
00:31:29,840 --> 00:31:34,360
Speaker 1: has an impact. I mean, are regular voters listening to

592
00:31:34,520 --> 00:31:38,320
Speaker 1: this one or as Twitter just become a place where rich,

593
00:31:38,440 --> 00:31:40,720
Speaker 1: red pilled people go to talk to each other and

594
00:31:40,760 --> 00:31:42,720
Speaker 1: guess each other up. And two, if they are listening

595
00:31:42,760 --> 00:31:44,880
Speaker 1: to this, what are they actually making of it?

596
00:31:45,280 --> 00:31:47,680
Speaker 3: I'm kind of actually bummed because I don't think many

597
00:31:47,760 --> 00:31:50,880
Speaker 3: regular voters are on Twitter and are definitely not active

598
00:31:50,960 --> 00:31:53,280
Speaker 3: enough to understand how to use spaces, let alone stay

599
00:31:53,280 --> 00:31:56,720
Speaker 3: in it for forty minutes or figure out the technical difficulties.

600
00:31:57,120 --> 00:31:59,000
Speaker 3: So I actually think that this isn't going to get

601
00:31:59,000 --> 00:32:02,840
Speaker 3: as much play or breadth of reception as I kind

602
00:32:02,880 --> 00:32:06,960
Speaker 3: of hoped for, you know, people to hear him sound

603
00:32:07,320 --> 00:32:12,120
Speaker 3: aesthetically like displeasing to his what you would think is

604
00:32:12,160 --> 00:32:15,720
Speaker 3: constituents to want to hear. But I really I think

605
00:32:15,760 --> 00:32:18,040
Speaker 3: this is just all of his interviews are just going

606
00:32:18,080 --> 00:32:19,400
Speaker 3: to be like this, Like people are just gonna be

607
00:32:19,440 --> 00:32:21,440
Speaker 3: like I hate it, I love it, whatever, you know.

608
00:32:22,080 --> 00:32:24,720
Speaker 3: I feel like unless something happens, like I think with

609
00:32:24,880 --> 00:32:27,720
Speaker 3: when he got COVID that really like struck a chord

610
00:32:27,800 --> 00:32:31,160
Speaker 3: at his messaging, and that showed him in a light

611
00:32:31,240 --> 00:32:35,520
Speaker 3: where he where he was vulnerable and incompetent in a

612
00:32:35,560 --> 00:32:38,640
Speaker 3: way that like I think did affect like how voters

613
00:32:38,640 --> 00:32:41,080
Speaker 3: felt about him, because it never is like I don't

614
00:32:41,080 --> 00:32:44,120
Speaker 3: think people. I don't think the American people like I

615
00:32:44,120 --> 00:32:47,360
Speaker 3: think they're more swayed by things like that than like,

616
00:32:47,960 --> 00:32:52,440
Speaker 3: you know, specifics of policy because of how contradictory the

617
00:32:52,560 --> 00:32:56,280
Speaker 3: legislative system is. So I think, basically I'm saying, I

618
00:32:56,320 --> 00:32:58,680
Speaker 3: don't think it got to a broad enough audience for

619
00:32:58,760 --> 00:32:59,760
Speaker 3: it to make a difference.

620
00:33:00,240 --> 00:33:03,400
Speaker 2: Yeah, I don't think people were listening along and then

621
00:33:03,520 --> 00:33:08,000
Speaker 2: like going to CNN and like looking at the twenty

622
00:33:08,240 --> 00:33:12,440
Speaker 2: fact checks that they ruled were false claims in the conversation.

623
00:33:12,520 --> 00:33:17,880
Speaker 2: I think some of the wilder shit that he said

624
00:33:18,000 --> 00:33:21,680
Speaker 2: might make it out to people I didn't. I haven't

625
00:33:21,760 --> 00:33:26,320
Speaker 2: seen much like come out of this interview that was

626
00:33:27,120 --> 00:33:31,480
Speaker 2: like playing to his strength. Like the Drudge Report, I

627
00:33:31,520 --> 00:33:35,080
Speaker 2: always check that website to see like how they're covering

628
00:33:35,720 --> 00:33:40,480
Speaker 2: something because they are like probably the most powerful online

629
00:33:40,920 --> 00:33:45,320
Speaker 2: kind of right wing media source, and like their headlines

630
00:33:45,320 --> 00:33:50,480
Speaker 2: are Trump slurs through interview, increasingly bizarre claims Musk megamania.

631
00:33:51,080 --> 00:33:54,360
Speaker 2: So I mean in the sense that I do think

632
00:33:54,440 --> 00:34:00,200
Speaker 2: unfortunately Elon musk endorsement fucking matters, because yes, his his

633
00:34:00,360 --> 00:34:06,560
Speaker 2: brand is very powerful, like in the way that people

634
00:34:07,480 --> 00:34:13,560
Speaker 2: used to quote Einstein for anything smart sounding that they

635
00:34:13,800 --> 00:34:16,600
Speaker 2: like heard someone say and maybe like, actually Einstein says

636
00:34:16,680 --> 00:34:20,120
Speaker 2: the definition of stupidity is doing anything, Like I've now

637
00:34:20,200 --> 00:34:23,040
Speaker 2: heard people do that with Elon Musk, where they.

638
00:34:22,960 --> 00:34:24,680
Speaker 1: Do you really think that's still the case? I mean,

639
00:34:24,680 --> 00:34:26,600
Speaker 1: after like three years ago, people were like, yeah, he's

640
00:34:26,600 --> 00:34:28,799
Speaker 1: Tony Stark in real life or whatever, but now he's

641
00:34:28,880 --> 00:34:32,719
Speaker 1: like Howard Hughes late Howard Hughes. I mean, like, I

642
00:34:32,800 --> 00:34:33,279
Speaker 1: don't know that.

643
00:34:33,400 --> 00:34:36,960
Speaker 2: That's broken through yet. Definitely for people who pay a

644
00:34:37,000 --> 00:34:39,600
Speaker 2: lot of attention, right, I guess I'm talking about like

645
00:34:40,080 --> 00:34:43,880
Speaker 2: whoever could still be these mythical undecided voters you know

646
00:34:44,200 --> 00:34:47,600
Speaker 2: who were Yeah, I just I don't know.

647
00:34:48,000 --> 00:34:51,840
Speaker 3: I also think like, unfortunately, next to Trump, Elon sounds

648
00:34:51,840 --> 00:34:57,400
Speaker 3: smarter even though he buys into the same effective policies

649
00:34:57,880 --> 00:35:00,520
Speaker 3: or you know, things that could harm the America. People

650
00:35:01,000 --> 00:35:03,960
Speaker 3: like they when they were talking about nuclear power, and

651
00:35:04,000 --> 00:35:07,640
Speaker 3: it was very confusing about because Trump initially was talking

652
00:35:07,680 --> 00:35:10,200
Speaker 3: about nuclear power, and then he talked about army tanks,

653
00:35:10,560 --> 00:35:12,960
Speaker 3: and so it was unclear if he understood that nuclear

654
00:35:13,000 --> 00:35:15,280
Speaker 3: power is different than like nuclear weapons.

655
00:35:16,040 --> 00:35:17,719
Speaker 5: And then Elon was.

656
00:35:17,680 --> 00:35:23,320
Speaker 3: Talking about his ability to like eat food around like plants.

657
00:35:23,840 --> 00:35:24,719
Speaker 5: Yeah, I was.

658
00:35:24,960 --> 00:35:29,000
Speaker 3: It was just it was just confusing to Trump in

659
00:35:29,040 --> 00:35:32,000
Speaker 3: a very obvious way that made Elon sound smarter. But

660
00:35:32,040 --> 00:35:33,759
Speaker 3: then Elon was still like, Yeah, I'm gonna vote for you.

661
00:35:33,760 --> 00:35:36,600
Speaker 3: I'm gonna vote for this man who doesn't understand simple

662
00:35:37,040 --> 00:35:39,320
Speaker 3: things that he should. For having nuclear codes.

663
00:35:39,640 --> 00:35:43,560
Speaker 2: Yeah, it seemed like they had nuclear power as one

664
00:35:43,600 --> 00:35:47,000
Speaker 2: of the things to discuss, and Trump took it to

665
00:35:47,160 --> 00:35:52,000
Speaker 2: be like the danger of nuclear powers, and so he

666
00:35:52,080 --> 00:35:53,640
Speaker 2: was like, but to me, the big problem is the

667
00:35:53,719 --> 00:35:57,239
Speaker 2: nuclear power. The power of nuclear is so great. When

668
00:35:57,239 --> 00:35:59,719
Speaker 2: I talk about I'll prevent World War three, I will.

669
00:36:00,080 --> 00:36:02,319
Speaker 2: The truth is that you have to because this is

670
00:36:02,360 --> 00:36:05,080
Speaker 2: no longer army tanks going back and forth and shooting

671
00:36:05,160 --> 00:36:07,920
Speaker 2: at each other, being being this the level of destruction

672
00:36:08,000 --> 00:36:09,800
Speaker 2: and power that nobody's ever seen before.

673
00:36:10,000 --> 00:36:13,239
Speaker 1: And then he also responds to a conversation about a

674
00:36:13,320 --> 00:36:15,040
Speaker 1: nuclear power plant he just launched.

675
00:36:15,200 --> 00:36:17,640
Speaker 2: He just launched into it. And then Elon Musk has

676
00:36:17,680 --> 00:36:20,239
Speaker 2: to come in and be because I think they were

677
00:36:20,280 --> 00:36:23,640
Speaker 2: talking about energy, and then Elon Musk had to come

678
00:36:23,680 --> 00:36:26,879
Speaker 2: in and be like, Okay, so there's a bad side

679
00:36:26,880 --> 00:36:29,800
Speaker 2: of nuclear which is a nuclear war, very bad side,

680
00:36:30,000 --> 00:36:35,040
Speaker 2: but there's there's also I think nuclear electricity absolutely underrated

681
00:36:35,080 --> 00:36:37,640
Speaker 2: and it's actually you know, people have this fear of

682
00:36:37,719 --> 00:36:41,720
Speaker 2: nuclear electricity generation, but it's actually one of the safest

683
00:36:41,760 --> 00:36:46,840
Speaker 2: forms of electricity generation. And then Trump was still like

684
00:36:47,040 --> 00:36:50,520
Speaker 2: he finally like allowed himself to be talked down, but

685
00:36:50,760 --> 00:36:53,200
Speaker 2: was still like, I don't know if Fukushima was really

686
00:36:53,200 --> 00:36:56,200
Speaker 2: bad and you know, Three Mile Island, Like, I feel

687
00:36:56,239 --> 00:36:59,280
Speaker 2: like he's not going to be somebody that you could

688
00:36:59,360 --> 00:37:03,879
Speaker 2: actually bring over to the side of nuclear electricity. Well.

689
00:37:03,920 --> 00:37:07,400
Speaker 3: He also people are starting to suspect that he thinks

690
00:37:07,520 --> 00:37:11,359
Speaker 3: like asylum seekers are like people from an insane asylum. Yeah,

691
00:37:11,360 --> 00:37:14,000
Speaker 3: and also that people who are looking for visas are

692
00:37:14,000 --> 00:37:17,000
Speaker 3: looking for credit cards because of like the contextual clues

693
00:37:17,040 --> 00:37:18,640
Speaker 3: of like what he has been saying.

694
00:37:19,960 --> 00:37:24,160
Speaker 1: Yeah, they could not be I mean even Trump.

695
00:37:24,600 --> 00:37:28,399
Speaker 3: I don't know, like I don't know, maybe maybe not,

696
00:37:28,560 --> 00:37:32,520
Speaker 3: but it's just it doesn't seem I mean, he's not smart.

697
00:37:32,760 --> 00:37:34,839
Speaker 3: He doesn't know what the fuck he's talking about. So

698
00:37:35,440 --> 00:37:38,000
Speaker 3: it's just really funny that we have given him such

699
00:37:38,040 --> 00:37:39,799
Speaker 3: a benefit of the doubt that now we have to

700
00:37:39,800 --> 00:37:41,920
Speaker 3: be like, wait a minute, this whole time, were you

701
00:37:42,000 --> 00:37:43,239
Speaker 3: actually dumber than what we.

702
00:37:43,239 --> 00:37:45,840
Speaker 5: Thought this all the time.

703
00:37:46,120 --> 00:37:48,759
Speaker 2: I think the asylum seekers thing, and I haven't heard

704
00:37:48,800 --> 00:37:52,480
Speaker 2: the visa thing. But I suspect, like so much of

705
00:37:52,520 --> 00:37:54,680
Speaker 2: what he's doing is free association. I mean, he has

706
00:37:54,760 --> 00:37:58,520
Speaker 2: like a recurring riff about fucking sharks because.

707
00:37:58,239 --> 00:38:03,000
Speaker 3: He's in an improv warm up like it would be

708
00:38:03,239 --> 00:38:04,680
Speaker 3: he would be zip zapsop in.

709
00:38:05,000 --> 00:38:07,360
Speaker 2: Yeah. So well, I suspect he's like also on speed

710
00:38:07,440 --> 00:38:10,880
Speaker 2: and so his brain is just like banging between ideas.

711
00:38:11,080 --> 00:38:13,439
Speaker 1: Well. That's another one of the theories, right that he

712
00:38:13,800 --> 00:38:16,560
Speaker 1: that he he popped something right before because it was

713
00:38:16,640 --> 00:38:18,279
Speaker 1: running late and he needed to pick me up with

714
00:38:18,360 --> 00:38:21,160
Speaker 1: the energy. And I can't believe I'm this far down

715
00:38:21,160 --> 00:38:23,400
Speaker 1: in this conspiracy rabbit hole. This is not how my

716
00:38:23,440 --> 00:38:24,440
Speaker 1: brain normally operates.

717
00:38:24,480 --> 00:38:26,759
Speaker 2: But I'm telling you, oh, I don't feel like it's

718
00:38:26,760 --> 00:38:28,920
Speaker 2: a conspiracy theory that he is on.

719
00:38:29,520 --> 00:38:32,840
Speaker 1: Like now I'm talking about the specific slurring, the source

720
00:38:32,880 --> 00:38:36,680
Speaker 1: of the slurring. Last he had to pull extra pills

721
00:38:36,680 --> 00:38:39,680
Speaker 1: because it was delayed by forty five minutes. Okay, what

722
00:38:39,719 --> 00:38:40,680
Speaker 1: am I doing with my life?

723
00:38:40,719 --> 00:38:45,600
Speaker 2: That I know your on air show American Vibe Cast

724
00:38:46,239 --> 00:38:48,680
Speaker 2: And we're going to take a quick break and we'll

725
00:38:48,680 --> 00:39:04,400
Speaker 2: be right back after this. And we're back. And it

726
00:39:04,440 --> 00:39:08,080
Speaker 2: was recently reported that Apple is working on raining in

727
00:39:08,400 --> 00:39:12,560
Speaker 2: some of their streaming spending, which I feel like makes

728
00:39:12,600 --> 00:39:17,320
Speaker 2: sense considering that they've spent thirty billion dollars on original

729
00:39:17,360 --> 00:39:21,520
Speaker 2: content but get fewer views in one month than Netflix

730
00:39:21,560 --> 00:39:24,959
Speaker 2: gets in a day. And that's I didn't just say

731
00:39:25,040 --> 00:39:28,960
Speaker 2: that as like like that. That's a quote from the

732
00:39:29,040 --> 00:39:33,560
Speaker 2: get fewer views in one month then Netflix gets in

733
00:39:33,600 --> 00:39:33,960
Speaker 2: a day.

734
00:39:34,440 --> 00:39:37,480
Speaker 3: That is insane. They have so many good shows and

735
00:39:37,480 --> 00:39:39,120
Speaker 3: they just refuse to tell us about it.

736
00:39:39,480 --> 00:39:42,400
Speaker 2: They really do. They just don't promote.

737
00:39:42,520 --> 00:39:47,319
Speaker 6: We all stumble on them even though we so those

738
00:39:47,320 --> 00:39:49,919
Speaker 6: of us who have subscriptions, we also forget that they

739
00:39:49,960 --> 00:39:52,640
Speaker 6: exist and that there's like good shows on there.

740
00:39:53,000 --> 00:39:56,399
Speaker 2: There's a show called Hello Tomorrow Exclamation Points starring Billy

741
00:39:56,440 --> 00:39:59,359
Speaker 2: Crudup as a salesman who lives on the moon, and

742
00:39:59,600 --> 00:40:04,840
Speaker 2: it's like gotten solid reviews and like I had to

743
00:40:04,880 --> 00:40:06,840
Speaker 2: google it just to make sure it wasn't like I.

744
00:40:07,320 --> 00:40:09,080
Speaker 5: Never heard before ever.

745
00:40:09,160 --> 00:40:12,720
Speaker 2: Yeah, it's it feels like they had the idea of

746
00:40:12,880 --> 00:40:19,080
Speaker 2: investing content and like create some like a massive, broad

747
00:40:19,760 --> 00:40:23,120
Speaker 2: powerful media company, but like didn't think of any of

748
00:40:23,160 --> 00:40:24,600
Speaker 2: the steps after that.

749
00:40:25,160 --> 00:40:29,640
Speaker 3: Like even Shrinking Shrinking was like known to people the

750
00:40:29,840 --> 00:40:34,920
Speaker 3: TV show and like people enjoyed it. And I found

751
00:40:34,920 --> 00:40:37,440
Speaker 3: out that season two is out because my friend.

752
00:40:37,200 --> 00:40:37,719
Speaker 1: Is in it.

753
00:40:38,760 --> 00:40:40,120
Speaker 2: And that's how I found out.

754
00:40:40,400 --> 00:40:42,440
Speaker 3: I had no idea. I'm like, didn't you have a

755
00:40:42,480 --> 00:40:45,359
Speaker 3: billboard up at some point? What's going on Apple TV?

756
00:40:46,080 --> 00:40:49,640
Speaker 3: What are you inventing technology in the background and distract it?

757
00:40:49,680 --> 00:40:51,280
Speaker 5: Is this like a front? What's happening?

758
00:40:51,680 --> 00:40:53,880
Speaker 1: Yeah, I mean you know there's some good stuff on there,

759
00:40:53,880 --> 00:40:55,920
Speaker 1: Like I really like that show in the midst of Chaos,

760
00:40:55,920 --> 00:40:58,640
Speaker 1: you know that one with a never made that.

761
00:41:02,080 --> 00:41:02,879
Speaker 5: That was a good one.

762
00:41:03,080 --> 00:41:05,319
Speaker 1: That's the first second. But no, it is true, like

763
00:41:05,360 --> 00:41:07,040
Speaker 1: people will be like my favorite show is this is

764
00:41:07,040 --> 00:41:08,040
Speaker 1: I could never ever.

765
00:41:08,000 --> 00:41:10,200
Speaker 2: Never talk to me about shows that are on Apple

766
00:41:10,600 --> 00:41:14,319
Speaker 2: Amazon Prime, like even though I have Amazon Prime, Like

767
00:41:14,400 --> 00:41:17,680
Speaker 2: I just it those shows go on there and just

768
00:41:17,719 --> 00:41:19,799
Speaker 2: like don't exist as far as I can tell.

769
00:41:20,080 --> 00:41:21,680
Speaker 1: So the theory of the case, I've always heard with

770
00:41:21,719 --> 00:41:24,839
Speaker 1: Apple is they're spending a ton of money and they're

771
00:41:24,840 --> 00:41:26,839
Speaker 1: going to get all this great content on there and

772
00:41:26,880 --> 00:41:30,440
Speaker 1: then and everyone says, they're not marketing it. They're not

773
00:41:30,480 --> 00:41:33,480
Speaker 1: marketing it, they're not marketing it, And there's an expectation

774
00:41:33,920 --> 00:41:36,560
Speaker 1: or sort of implication that at any moment they could

775
00:41:36,600 --> 00:41:39,400
Speaker 1: just like snap their fingers, slip a switch and market

776
00:41:39,440 --> 00:41:42,440
Speaker 1: it and all of a sudden they would just dominate.

777
00:41:42,840 --> 00:41:45,239
Speaker 1: And that second step it feels like those what's that

778
00:41:45,360 --> 00:41:49,960
Speaker 1: meme of like step one s two to profit profit? Yeah,

779
00:41:49,960 --> 00:41:53,239
Speaker 1: And it's like, uh, why has there been this long

780
00:41:53,360 --> 00:41:57,120
Speaker 1: running assumption that Apple can just like Marcide to have

781
00:41:57,280 --> 00:41:59,200
Speaker 1: hits and turn all the and turn a profit and

782
00:41:59,200 --> 00:42:00,680
Speaker 1: have this be success. And I feel like in the

783
00:42:00,760 --> 00:42:03,239
Speaker 1: last six months a year it's been people have been

784
00:42:03,239 --> 00:42:05,480
Speaker 1: calling bs a little bit on that idea that we've

785
00:42:05,520 --> 00:42:07,000
Speaker 1: all had to know. Oh, it's Apple. They could just

786
00:42:07,600 --> 00:42:09,040
Speaker 1: when they want to, they could just turn them into

787
00:42:09,080 --> 00:42:10,799
Speaker 1: hits if they want to. They just don't want to.

788
00:42:10,840 --> 00:42:12,560
Speaker 1: It's like, why would you not want it?

789
00:42:12,760 --> 00:42:15,000
Speaker 2: Turns out, I guess the marketing part is hard.

790
00:42:15,440 --> 00:42:18,080
Speaker 3: I guess it feels like Beyonce dropping an album, except

791
00:42:18,160 --> 00:42:21,600
Speaker 3: they're not the Beyonce of television. Yet like they they

792
00:42:21,640 --> 00:42:25,799
Speaker 3: have good content, but they don't have that reputation. So

793
00:42:25,840 --> 00:42:28,960
Speaker 3: they assume that people will just word of mouth or

794
00:42:29,000 --> 00:42:31,560
Speaker 3: figure it out and will be like their marketers. But

795
00:42:31,600 --> 00:42:32,839
Speaker 3: that's not how it's going to work.

796
00:42:33,320 --> 00:42:37,280
Speaker 2: Has anyone ever bought an iPhone because of an Apple

797
00:42:37,360 --> 00:42:42,759
Speaker 2: TV production? Like that? That's the thing that I don't understand, Like,

798
00:42:43,040 --> 00:42:44,919
Speaker 2: was that the theory of the case when they first

799
00:42:45,000 --> 00:42:48,000
Speaker 2: decided to get into it, that there would be like

800
00:42:48,080 --> 00:42:52,840
Speaker 2: this free platform that you could watch on Apple products?

801
00:42:53,160 --> 00:42:55,480
Speaker 1: And oh, I don't know if they're pushing to have

802
00:42:55,600 --> 00:42:59,400
Speaker 1: to be watched. They're not quit they're trying to just

803
00:42:59,480 --> 00:43:01,400
Speaker 1: be stream It's just.

804
00:43:00,920 --> 00:43:03,960
Speaker 2: Just their own separate streaming thing that they then have

805
00:43:04,440 --> 00:43:06,480
Speaker 2: just totally neglected too.

806
00:43:06,840 --> 00:43:09,600
Speaker 1: But I also think like and I've and I worked

807
00:43:10,200 --> 00:43:13,080
Speaker 1: in a very small, weird corner of the Disney Corporation,

808
00:43:13,200 --> 00:43:15,160
Speaker 1: so saw a little bit of this play out when

809
00:43:15,160 --> 00:43:17,000
Speaker 1: I was at thirty for thirty at ESPN. But it's

810
00:43:17,040 --> 00:43:20,719
Speaker 1: like there are some parts of these massive companies where

811
00:43:20,719 --> 00:43:23,920
Speaker 1: it's like you're here to just like burnish our reputation

812
00:43:24,040 --> 00:43:26,120
Speaker 1: and like if we win a couple Academy Awards, off

813
00:43:26,120 --> 00:43:27,879
Speaker 1: of this and we win some awards and we get

814
00:43:27,880 --> 00:43:30,359
Speaker 1: to say we worked with these with Billy Krutdup and

815
00:43:30,440 --> 00:43:33,480
Speaker 1: Jennifer Anderson and whatever like that has its own value

816
00:43:33,520 --> 00:43:35,879
Speaker 1: to companies like this, Like it's just like we get

817
00:43:35,880 --> 00:43:38,120
Speaker 1: these famous people to come romans and we get to

818
00:43:38,120 --> 00:43:40,200
Speaker 1: say we're doing this. So it's like, you can't just

819
00:43:40,239 --> 00:43:42,120
Speaker 1: look at it as the money they're spending in the

820
00:43:42,160 --> 00:43:47,160
Speaker 1: audience they're getting, but thirty billion dollars for fewer viewers

821
00:43:47,200 --> 00:43:49,600
Speaker 1: in a month and Netflix that's in a day. I mean,

822
00:43:49,640 --> 00:43:52,640
Speaker 1: it does feel like there's some hard questions getting asked

823
00:43:52,640 --> 00:43:55,040
Speaker 1: about what exactly they're up to here, And I mean,

824
00:43:55,080 --> 00:43:58,360
Speaker 1: to me, I'm curious what the two of you think about,

825
00:43:58,360 --> 00:44:02,040
Speaker 1: Like why what does it take to get a platform?

826
00:44:02,120 --> 00:44:04,480
Speaker 1: Like is Apple TV? Like in your rotation, like you

827
00:44:04,520 --> 00:44:06,640
Speaker 1: sit down, you don't really know what you want. You

828
00:44:06,680 --> 00:44:08,600
Speaker 1: have a sort of half formed thought in the back

829
00:44:08,640 --> 00:44:10,520
Speaker 1: of your head. Is it on that list the places

830
00:44:10,520 --> 00:44:13,239
Speaker 1: that you open and search for? And why is it not?

831
00:44:13,440 --> 00:44:17,520
Speaker 1: And how does something work its way into that routine?

832
00:44:17,680 --> 00:44:19,400
Speaker 5: My log in is so annoying.

833
00:44:19,440 --> 00:44:21,400
Speaker 3: When I log into Apple Tea, it's not as smooth

834
00:44:21,520 --> 00:44:25,080
Speaker 3: as Netflix or Hulu for some reason. I don't know why,

835
00:44:25,200 --> 00:44:28,479
Speaker 3: but it's like it's more annoying to log into. That's

836
00:44:28,520 --> 00:44:31,279
Speaker 3: one thing, it's a multi step thing. And then the

837
00:44:31,320 --> 00:44:36,400
Speaker 3: other thing is it didn't start as quickly as Netflix

838
00:44:36,440 --> 00:44:39,879
Speaker 3: and Hulu did. So those tend to be the two

839
00:44:40,000 --> 00:44:43,279
Speaker 3: main ones that I open because those are top of

840
00:44:43,320 --> 00:44:47,160
Speaker 3: mind streaming. When I think Apple, I think products before

841
00:44:47,200 --> 00:44:50,640
Speaker 3: I think streaming. When I think Amazon, I think products

842
00:44:50,719 --> 00:44:54,480
Speaker 3: before I think streaming. And so I think until they're

843
00:44:54,719 --> 00:44:59,919
Speaker 3: willing to come to the forefront and market themselves. Maybe

844
00:45:00,320 --> 00:45:01,839
Speaker 3: I don't know if it's like a change of name

845
00:45:01,960 --> 00:45:04,799
Speaker 3: or something else, but unless they're willing to kind of

846
00:45:04,920 --> 00:45:09,160
Speaker 3: redefine what they're known for, they're not going to be

847
00:45:09,200 --> 00:45:11,000
Speaker 3: the top of mind streamers.

848
00:45:11,160 --> 00:45:14,080
Speaker 2: Like create us just a separate brand or something. But yeah,

849
00:45:14,120 --> 00:45:18,680
Speaker 2: I mean it's not Apple. Yeah, and thank you now

850
00:45:18,719 --> 00:45:24,759
Speaker 2: we get to my pitch. Yeah everything. Yeah, they're just

851
00:45:24,880 --> 00:45:26,719
Speaker 2: so far from that. And when you look at the

852
00:45:26,880 --> 00:45:32,000
Speaker 2: streaming like numbers, which nobody does, like that's always been

853
00:45:32,040 --> 00:45:36,320
Speaker 2: interesting to me. We used to look at the ratings

854
00:45:36,360 --> 00:45:40,399
Speaker 2: on TV like the you know, every week and be like, oh,

855
00:45:40,440 --> 00:45:42,839
Speaker 2: this was the top show, this was the top that

856
00:45:42,920 --> 00:45:45,759
Speaker 2: has all gone away, nobody looks at the streaming because

857
00:45:45,760 --> 00:45:48,880
Speaker 2: it comes out a month later. But it's all like

858
00:45:48,960 --> 00:45:52,080
Speaker 2: the top ten is all Netflix, and then there will

859
00:45:52,200 --> 00:45:55,840
Speaker 2: occasionally if there is a Game of Throne, like a

860
00:45:55,880 --> 00:45:59,439
Speaker 2: new season of Game of Thrones, like one episode will

861
00:45:59,440 --> 00:46:02,799
Speaker 2: pop into the top ten and it will like go

862
00:46:03,000 --> 00:46:06,240
Speaker 2: up to six and then immediately drop out. It's wild

863
00:46:06,400 --> 00:46:10,239
Speaker 2: how dominant Netflix is. It just feels like they have

864
00:46:10,960 --> 00:46:13,280
Speaker 2: kind of cornered, like Paul of You is saying, they've

865
00:46:13,719 --> 00:46:17,560
Speaker 2: sort of cornered that part of people's brains. And then

866
00:46:18,640 --> 00:46:22,680
Speaker 2: everything's gotten more expensive, so people can't really afford six

867
00:46:22,760 --> 00:46:27,279
Speaker 2: different streaming services and so it's just a it's a

868
00:46:27,400 --> 00:46:30,759
Speaker 2: mess for all these other streamers who are trying to

869
00:46:30,800 --> 00:46:31,160
Speaker 2: break in.

870
00:46:31,920 --> 00:46:35,520
Speaker 1: Poulla, I, I think I buy your argument, and I've

871
00:46:35,600 --> 00:46:38,279
Speaker 1: kind of tended to It's just something I feel like

872
00:46:38,320 --> 00:46:41,440
Speaker 1: I've learned and seen, and it's just like companies tend

873
00:46:41,520 --> 00:46:45,279
Speaker 1: to just do one thing, you know, and like there's

874
00:46:45,360 --> 00:46:47,560
Speaker 1: just yeah, I just think that like most places they

875
00:46:47,600 --> 00:46:49,440
Speaker 1: have a DNA and it's like this is what we're

876
00:46:49,480 --> 00:46:52,880
Speaker 1: about and everything else you can kind of tell that

877
00:46:52,960 --> 00:46:55,120
Speaker 1: it's a side hustle or whatever. And I feel like

878
00:46:55,120 --> 00:46:57,280
Speaker 1: there's something there's something to that with Apple.

879
00:46:57,840 --> 00:47:00,640
Speaker 2: Yeah, there's that book Good to Great that the study

880
00:47:00,680 --> 00:47:03,720
Speaker 2: of like companies that go from like good to being

881
00:47:03,800 --> 00:47:07,359
Speaker 2: like generationally like they just last and do well. And

882
00:47:07,400 --> 00:47:11,040
Speaker 2: like some of those companies no longer are like doing

883
00:47:11,080 --> 00:47:13,000
Speaker 2: as well as they were when that book came out,

884
00:47:13,280 --> 00:47:13,719
Speaker 2: but like.

885
00:47:13,719 --> 00:47:17,920
Speaker 1: The one party.

886
00:47:16,680 --> 00:47:21,399
Speaker 2: Exactly, these companies actually sucked. But the one thing that

887
00:47:21,440 --> 00:47:25,080
Speaker 2: they found was that, like the companies that had sustained

888
00:47:25,320 --> 00:47:30,080
Speaker 2: like success had a very specific focus and like definition

889
00:47:30,160 --> 00:47:33,480
Speaker 2: of their mission. They called it the hedgehog principle, very

890
00:47:33,560 --> 00:47:36,400
Speaker 2: business speak, but it was like, you know, a fox

891
00:47:36,520 --> 00:47:38,319
Speaker 2: is clever, and it like knows how to do all

892
00:47:38,400 --> 00:47:41,200
Speaker 2: these different things. A hedgehog just knows how to like

893
00:47:41,280 --> 00:47:44,480
Speaker 2: roll up into a ball and survive, and like it

894
00:47:44,520 --> 00:47:48,680
Speaker 2: does that better than anyone else. And like that, they

895
00:47:48,680 --> 00:47:51,200
Speaker 2: were like, if your company can just like figure out

896
00:47:51,239 --> 00:47:53,680
Speaker 2: the one thing it does better than anyone else and

897
00:47:53,800 --> 00:47:57,879
Speaker 2: just do that, and yeah, all the entire stream wars

898
00:47:57,880 --> 00:48:03,120
Speaker 2: seemed to have been, to a large degree a illustration

899
00:48:03,360 --> 00:48:07,400
Speaker 2: of that principle, because the companies that have consistently like

900
00:48:07,480 --> 00:48:09,800
Speaker 2: poured the most money in and gotten the least results

901
00:48:10,320 --> 00:48:14,279
Speaker 2: are Apple and Amazon, and they're like, yeah, well that's

902
00:48:14,280 --> 00:48:17,960
Speaker 2: not what you guys do. You're just like trying to Yeah.

903
00:48:18,000 --> 00:48:21,480
Speaker 3: It's also what they originally branded themselves as. It was

904
00:48:21,520 --> 00:48:23,719
Speaker 3: almost like they were too good to do anything else,

905
00:48:23,880 --> 00:48:28,160
Speaker 3: especially Apple. They prided themselves on their products. So for

906
00:48:28,239 --> 00:48:33,040
Speaker 3: them to kind of diversify, it's just I think harder

907
00:48:33,040 --> 00:48:36,279
Speaker 3: for the audience to buy it. After all the like

908
00:48:36,320 --> 00:48:38,680
Speaker 3: all the work that Steve Jobs put in to be like,

909
00:48:39,400 --> 00:48:42,480
Speaker 3: this is our main thing is phones. Our main thing

910
00:48:42,600 --> 00:48:46,799
Speaker 3: is these computers, and then for them to be like,

911
00:48:46,880 --> 00:48:51,400
Speaker 3: we're artists too, Now we understand culture in that way,

912
00:48:51,800 --> 00:48:55,719
Speaker 3: I think it's harder for their market to buy into that.

913
00:48:56,280 --> 00:49:00,680
Speaker 2: Yeah, rebranding, Yeah, I think that's right. I don't know.

914
00:49:00,719 --> 00:49:03,239
Speaker 2: It feels like Netflix is just getting more and more

915
00:49:04,080 --> 00:49:06,160
Speaker 2: ingrained in its position, as.

916
00:49:06,360 --> 00:49:07,880
Speaker 1: Though like a year ago there was a lot of

917
00:49:07,880 --> 00:49:10,560
Speaker 1: talk about Netflix being on shakier ground or whatever, and

918
00:49:10,600 --> 00:49:12,319
Speaker 1: then maybe it's like two years ago and then they

919
00:49:12,360 --> 00:49:14,000
Speaker 1: just kind of snap.

920
00:49:13,760 --> 00:49:16,080
Speaker 3: Well, if they're doing so good, let us share passwords again.

921
00:49:16,160 --> 00:49:16,440
Speaker 3: Damn it.

922
00:49:16,680 --> 00:49:20,000
Speaker 1: Well, part of doing good is that that, Yeah, get

923
00:49:20,040 --> 00:49:21,080
Speaker 1: that experiment worked.

924
00:49:21,200 --> 00:49:24,640
Speaker 2: Yeah, it was like a rousing success in them.

925
00:49:24,480 --> 00:49:29,040
Speaker 3: So fucking mad about how there are commercials in everything now,

926
00:49:30,080 --> 00:49:34,320
Speaker 3: Like we we're just used to commercials in Netflix now,

927
00:49:34,640 --> 00:49:35,360
Speaker 3: that's insane.

928
00:49:35,480 --> 00:49:37,960
Speaker 1: We're we're used to commercials for the entirety of your

929
00:49:37,960 --> 00:49:39,439
Speaker 1: life until like five years ago.

930
00:49:39,719 --> 00:49:41,920
Speaker 3: Yeah, and I don't want to go back. Okay, I'm

931
00:49:41,960 --> 00:49:46,239
Speaker 3: paying for these streaming services. We have the technology of this, and.

932
00:49:46,239 --> 00:49:51,359
Speaker 2: They get to pretend like they're innovating by reinventing commercials.

933
00:49:51,040 --> 00:49:54,279
Speaker 3: It's literally like watching Elon play with Twitter, destroy it

934
00:49:54,320 --> 00:49:55,239
Speaker 3: and then bring it back again.

935
00:49:55,640 --> 00:49:58,160
Speaker 1: Well as all of us, all of us in some

936
00:49:58,239 --> 00:50:03,720
Speaker 1: part or another our careers to commercial to advertising funded media.

937
00:50:03,800 --> 00:50:05,879
Speaker 1: So you know this part of me that's like, I'll

938
00:50:05,920 --> 00:50:09,160
Speaker 1: take the commercials. Yeah, very nice to have some of those.

939
00:50:09,200 --> 00:50:13,000
Speaker 5: That's their problem.

940
00:50:13,160 --> 00:50:15,960
Speaker 2: I do get mad when I'm trying to watch a

941
00:50:16,040 --> 00:50:17,879
Speaker 2: video and an at comes up, like in a way

942
00:50:17,920 --> 00:50:21,359
Speaker 2: that doesn't make any sense and it is completely irrational.

943
00:50:21,200 --> 00:50:26,000
Speaker 3: Particularly movies, particularly movies on Netflix, because the whole reason

944
00:50:26,520 --> 00:50:28,680
Speaker 3: that Netflix is such an advantage is that you get

945
00:50:28,719 --> 00:50:31,600
Speaker 3: to you know, going to the movie theater is an experience,

946
00:50:31,719 --> 00:50:35,400
Speaker 3: it's a very communal thing. Netflix is consuming the media

947
00:50:35,560 --> 00:50:39,359
Speaker 3: uninterrupted and in a more efficient way. And then when

948
00:50:39,400 --> 00:50:41,799
Speaker 3: you have commercials in the midst of movies. I'm like,

949
00:50:41,840 --> 00:50:43,760
Speaker 3: this is I just want to go to the theater

950
00:50:43,880 --> 00:50:46,080
Speaker 3: now again. I don't want to watch this here anymore.

951
00:50:46,600 --> 00:50:47,759
Speaker 3: It's interrupting the whole thing.

952
00:50:48,160 --> 00:50:50,720
Speaker 2: You're not going to like my pitch to AMC about

953
00:50:50,840 --> 00:50:53,360
Speaker 2: damn it. So this is the most captive audience.

954
00:50:53,680 --> 00:50:58,760
Speaker 1: You bring the lights up to the audience.

955
00:50:59,120 --> 00:51:02,359
Speaker 2: Jarital a guy just comes out and pitches Jared tal

956
00:51:02,440 --> 00:51:04,840
Speaker 2: to you. We're just gonna keep going back and back

957
00:51:04,880 --> 00:51:07,960
Speaker 2: and back until it's like, you know, this movie brought

958
00:51:07,960 --> 00:51:10,960
Speaker 2: to you by coughing powder or what.

959
00:51:11,160 --> 00:51:12,759
Speaker 5: Like cocaine and you're so na.

960
00:51:14,320 --> 00:51:17,799
Speaker 2: That's right. Well, Jody, what a pleasure having you as

961
00:51:17,840 --> 00:51:21,440
Speaker 2: always on the Daily Zeigeist. Where can people find you?

962
00:51:21,719 --> 00:51:23,440
Speaker 2: Follow you all that good stuff?

963
00:51:24,120 --> 00:51:28,360
Speaker 1: Well, you mentioned my political history show, and I'm produced

964
00:51:28,360 --> 00:51:30,799
Speaker 1: Trevor Noah's podcast What Now, so people should go listen

965
00:51:30,840 --> 00:51:34,840
Speaker 1: to that, and then I'm also but the big news

966
00:51:34,920 --> 00:51:37,000
Speaker 1: is with my political history podcast, we're doing our first

967
00:51:37,000 --> 00:51:40,120
Speaker 1: ever live show, So for listeners in Boston or anyone

968
00:51:40,120 --> 00:51:43,640
Speaker 1: who knows someone in Boston on September thirteenth, we are

969
00:51:43,680 --> 00:51:46,480
Speaker 1: doing a live show at w b u R has

970
00:51:46,520 --> 00:51:49,160
Speaker 1: this really cool event space there, So I would love

971
00:51:49,200 --> 00:51:51,239
Speaker 1: to have people come out to that. It's gonna be

972
00:51:51,320 --> 00:51:52,879
Speaker 1: it's gonna be really fun, and we're gonna be talking

973
00:51:52,920 --> 00:51:57,120
Speaker 1: a little bit about the history of October surprises, kind

974
00:51:57,120 --> 00:51:59,680
Speaker 1: of last minute things that happened in that up end

975
00:51:59,680 --> 00:52:02,880
Speaker 1: elect And so Friday, September thirteenth, if you're in Boston,

976
00:52:02,960 --> 00:52:05,480
Speaker 1: I know someone in Boston, encourage them to come out.

977
00:52:05,800 --> 00:52:07,280
Speaker 2: What's the biggest October surprise?

978
00:52:07,520 --> 00:52:11,360
Speaker 1: And I mean the big one that's always tried it

979
00:52:11,360 --> 00:52:14,600
Speaker 1: out is the is the is the hostages and you know,

980
00:52:15,200 --> 00:52:17,560
Speaker 1: Reagan arranging for the hostages to not be released until

981
00:52:17,560 --> 00:52:19,440
Speaker 1: after the election, you know, and that's a big one.

982
00:52:19,480 --> 00:52:21,799
Speaker 1: But you know there's stuff like, I mean, this is

983
00:52:21,800 --> 00:52:24,920
Speaker 1: what we'll get into on September thirteenth, Friday, but uh,

984
00:52:25,320 --> 00:52:28,719
Speaker 1: you know, like does the Access Hollywood tape kind of count?

985
00:52:28,760 --> 00:52:30,200
Speaker 1: You know, it's like a last minute thing, the sort

986
00:52:30,200 --> 00:52:32,160
Speaker 1: of up ended things that really did have an effect.

987
00:52:32,360 --> 00:52:35,239
Speaker 1: But some of some of it is like shenanigans, you know,

988
00:52:35,280 --> 00:52:38,880
Speaker 1: in terms of like withholding information or revealing information at

989
00:52:38,880 --> 00:52:41,360
Speaker 1: the last minute, and there's long history of that. And

990
00:52:41,400 --> 00:52:43,520
Speaker 1: then some of it is just like news that breaks

991
00:52:43,520 --> 00:52:49,240
Speaker 1: at the last minute and destabilizes things right right cool?

992
00:52:49,480 --> 00:52:52,879
Speaker 2: Is there a work of media that you've been enjoying, Jodie.

993
00:52:53,120 --> 00:52:55,319
Speaker 1: Well, we're not gonna talk about Raygun, so I'm going

994
00:52:55,360 --> 00:52:56,360
Speaker 1: to talk about right now.

995
00:52:56,160 --> 00:52:59,359
Speaker 2: We missed No no, no.

996
00:52:59,400 --> 00:53:03,200
Speaker 1: I just I feel like I'm playing a how deep

997
00:53:03,239 --> 00:53:05,440
Speaker 1: does this rabbit hole go role on this show that

998
00:53:05,520 --> 00:53:09,399
Speaker 1: I normally don't but I gotta say, the Raygun thing

999
00:53:09,640 --> 00:53:13,080
Speaker 1: keeps keeps giving to me. And like at first I

1000
00:53:13,120 --> 00:53:14,960
Speaker 1: was just like, yeah, you know, she had an off day.

1001
00:53:15,040 --> 00:53:16,680
Speaker 1: It is what it is. And then I'm like, now

1002
00:53:16,680 --> 00:53:19,120
Speaker 1: I'm like weeding these Reddit threads about how she was

1003
00:53:19,160 --> 00:53:23,000
Speaker 1: the one who who and you know what was the

1004
00:53:23,040 --> 00:53:25,040
Speaker 1: head of the organization that picked the thing and her

1005
00:53:25,080 --> 00:53:27,560
Speaker 1: she put her husband in this, and it's like it's

1006
00:53:27,600 --> 00:53:29,759
Speaker 1: a I don't know, how deep does the ray Gun thing?

1007
00:53:30,200 --> 00:53:31,920
Speaker 2: I don't know. This one goes all the way to

1008
00:53:31,960 --> 00:53:36,120
Speaker 2: the top of Australia's break dancing community.

1009
00:53:36,360 --> 00:53:38,640
Speaker 1: But it is. It is remarkable how there were so

1010
00:53:38,719 --> 00:53:42,640
Speaker 1: many other memes and like characters in the Olympics and

1011
00:53:42,680 --> 00:53:47,120
Speaker 1: then she just came storming at the last and completely

1012
00:53:47,120 --> 00:53:48,960
Speaker 1: took over. It is. It is amazing.

1013
00:53:49,560 --> 00:53:51,839
Speaker 2: It is Paul of where can people find you as

1014
00:53:51,880 --> 00:53:52,640
Speaker 2: their working media.

1015
00:53:52,719 --> 00:53:56,520
Speaker 3: You've been enjoying I'm at Vegan Alan p A L

1016
00:53:56,680 --> 00:53:58,960
Speaker 3: L A v I G and A L A n

1017
00:53:59,320 --> 00:54:03,680
Speaker 3: I a show at the Comedy Store Facial Recognition Comedy.

1018
00:54:03,719 --> 00:54:06,440
Speaker 3: Next one is August twentieth one. After that, it's September

1019
00:54:06,440 --> 00:54:09,000
Speaker 3: twentieth in the belly Room. It's going to be super fun.

1020
00:54:09,480 --> 00:54:12,560
Speaker 3: I can't find the person who tweeted it, unfortunately.

1021
00:54:13,000 --> 00:54:13,440
Speaker 5: I think it.

1022
00:54:14,040 --> 00:54:17,319
Speaker 3: Refreshed and I lost it, but it was it was

1023
00:54:17,480 --> 00:54:20,239
Speaker 3: The quote was when I sing both parts of that

1024
00:54:20,320 --> 00:54:23,400
Speaker 3: evanescent song and it was Jdvans and as regular clothes

1025
00:54:23,440 --> 00:54:24,640
Speaker 3: and then Jadvanson drag.

1026
00:54:29,320 --> 00:54:30,640
Speaker 5: I really enjoyed that one.

1027
00:54:31,560 --> 00:54:35,120
Speaker 2: Amazing. You can find me on Twitter at Jack Underscore

1028
00:54:35,239 --> 00:54:40,000
Speaker 2: O'Brien tweet I've been enjoying. Jamaine Clement from Flay Concords

1029
00:54:40,080 --> 00:54:43,440
Speaker 2: tweeted I've been to Australia. That was their best dancer.

1030
00:54:46,040 --> 00:54:48,839
Speaker 5: Very very key. We coded that's right.

1031
00:54:49,120 --> 00:54:52,279
Speaker 2: You can find us on Twitter at Daily Zeicheist. We're

1032
00:54:52,320 --> 00:54:54,920
Speaker 2: at the Daily Zeichgeist on Instagram. We have a Facebook

1033
00:54:54,960 --> 00:54:57,600
Speaker 2: fan page and a website Daily zeigeist dot com, where

1034
00:54:57,640 --> 00:55:01,160
Speaker 2: we post our episodes and our footnote where we link

1035
00:55:01,160 --> 00:55:03,440
Speaker 2: off to the information that we talked about in today's

1036
00:55:03,480 --> 00:55:06,359
Speaker 2: episode as well as a song that we think you

1037
00:55:06,440 --> 00:55:10,719
Speaker 2: might enjoy. Super producer Justin Connor, is there a song

1038
00:55:10,760 --> 00:55:12,080
Speaker 2: that you think people might enjoy?

1039
00:55:12,680 --> 00:55:15,479
Speaker 7: Yeah, this song will put you in the mindset of

1040
00:55:15,560 --> 00:55:18,440
Speaker 7: a spy on the run in like a seventies pulp

1041
00:55:18,600 --> 00:55:22,560
Speaker 7: noir movie. It's an instrumental but it has a whole

1042
00:55:22,640 --> 00:55:27,000
Speaker 7: narrative arc. There's tension and suspense and relief all expressed

1043
00:55:27,040 --> 00:55:30,480
Speaker 7: through composition and musical skill. It's a song called The

1044
00:55:30,520 --> 00:55:34,520
Speaker 7: Trader and it's performed by this collective of artists who

1045
00:55:34,560 --> 00:55:37,000
Speaker 7: are from groups like the Dap Kings, the Roots, the

1046
00:55:37,040 --> 00:55:40,399
Speaker 7: Black Keys, and they're called the Menihan Street Band. And

1047
00:55:40,800 --> 00:55:42,640
Speaker 7: that song again is called the Trader, and you can

1048
00:55:42,640 --> 00:55:44,359
Speaker 7: find that in the footnotes.

1049
00:55:44,080 --> 00:55:48,520
Speaker 1: Footnotes Trader t R A I t O R A.

1050
00:55:48,600 --> 00:55:51,040
Speaker 2: I t O R Yes. Yes, would be my tour

1051
00:55:51,960 --> 00:55:56,759
Speaker 2: trade to us, right like Liz Chain, you know. The

1052
00:55:56,920 --> 00:55:59,200
Speaker 2: Daily es Guys is a production of iHeartRadio. For more

1053
00:55:59,239 --> 00:56:01,680
Speaker 2: podcasts from My Heart Heart Radio, visit the iHeartRadio app,

1054
00:56:01,680 --> 00:56:04,560
Speaker 2: Apple podcast, or wherever you listen to your favorite shows.

1055
00:56:04,760 --> 00:56:07,200
Speaker 2: That is going to do it for us. This morning.

1056
00:56:07,239 --> 00:56:10,040
Speaker 2: We are back this afternoon to tell you what is trending,

1057
00:56:10,480 --> 00:56:11,640
Speaker 2: and we'll talk to you all then.

1058
00:56:11,840 --> 00:56:16,040
Speaker 1: Bye bye bye