1
00:00:00,680 --> 00:00:04,160
Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics,

2
00:00:04,400 --> 00:00:07,160
Speaker 1: where we discussed the top political headlines with some of

3
00:00:07,200 --> 00:00:11,799
Speaker 1: today's best minds. And two thirds of Americans think Trump's

4
00:00:11,840 --> 00:00:14,040
Speaker 1: tariffs will lead to higher prices.

5
00:00:14,160 --> 00:00:17,560
Speaker 2: The other third don't know where they are. That's according

6
00:00:17,600 --> 00:00:18,079
Speaker 2: to Poles.

7
00:00:18,320 --> 00:00:20,600
Speaker 1: We have such a great show for you today, the

8
00:00:20,720 --> 00:00:25,800
Speaker 1: Mary Trump Shows. Mary Trump stops by to talk about

9
00:00:25,840 --> 00:00:29,200
Speaker 1: how her uncle is going to destroy America. Then we

10
00:00:29,240 --> 00:00:36,600
Speaker 1: will talk to Garbage Days Ryan Broderick about politics being

11
00:00:36,640 --> 00:00:39,840
Speaker 1: downstream from internet culture and what that means.

12
00:00:39,560 --> 00:00:44,000
Speaker 2: For our political future. Spoiler it's bad. But first the

13
00:00:44,080 --> 00:00:45,279
Speaker 2: news Somalia.

14
00:00:45,880 --> 00:00:48,800
Speaker 3: As we were alluding to the intro to this, I

15
00:00:48,840 --> 00:00:52,000
Speaker 3: think some people don't know what tariffs are, despite the

16
00:00:52,000 --> 00:00:53,920
Speaker 3: fact that I feel like we've been discussing them for

17
00:00:54,160 --> 00:00:56,440
Speaker 3: half a year at this point, at minimum, if we

18
00:00:56,440 --> 00:00:58,680
Speaker 3: didn't learn this in school. But I'm going to shock

19
00:00:58,760 --> 00:01:01,040
Speaker 3: you here. Eric Trump does not know what tariffs do.

20
00:01:01,520 --> 00:01:04,400
Speaker 2: What it cannot be uh.

21
00:01:04,600 --> 00:01:06,679
Speaker 3: Here he is with Warre Grimman. He's gonna show us.

22
00:01:06,920 --> 00:01:09,080
Speaker 4: You want to drugs to come through our southern border,

23
00:01:09,400 --> 00:01:11,240
Speaker 4: We're going to tarif you you want to allow them

24
00:01:11,280 --> 00:01:14,160
Speaker 4: come through Canada, We're gonna teify China. If you're gonna

25
00:01:14,160 --> 00:01:16,640
Speaker 4: allow this stuff to get sold in our country, largely

26
00:01:16,760 --> 00:01:20,160
Speaker 4: produced in China, we're gonna add another ten percent.

27
00:01:19,880 --> 00:01:20,400
Speaker 2: To your chair.

28
00:01:20,560 --> 00:01:22,960
Speaker 4: We are gonna cost your countries, your economies.

29
00:01:22,959 --> 00:01:23,920
Speaker 3: We're gonna cost.

30
00:01:23,720 --> 00:01:27,399
Speaker 4: Your businesses billions, hundreds of billions at dollars. If you

31
00:01:27,440 --> 00:01:29,480
Speaker 4: think you're gonna pair you know terror, you're going to

32
00:01:29,760 --> 00:01:32,959
Speaker 4: poison Americans. It's not gonna happen. You're not gonna destroy

33
00:01:32,959 --> 00:01:35,080
Speaker 4: your youth. You're not gonna destroy our society. You're not

34
00:01:35,120 --> 00:01:38,560
Speaker 4: gonna destroy our families. You're not gonna do it.

35
00:01:38,560 --> 00:01:39,520
Speaker 3: It's going to cost you.

36
00:01:39,560 --> 00:01:40,680
Speaker 4: I'm gonna put an end to it.

37
00:01:41,000 --> 00:01:41,280
Speaker 1: Laura.

38
00:01:41,280 --> 00:01:43,959
Speaker 4: When my father sent that twenty minutes ago, I literally

39
00:01:44,080 --> 00:01:44,880
Speaker 4: cheered out loud.

40
00:01:45,120 --> 00:01:48,760
Speaker 1: I want to talk about the second son, the drama

41
00:01:48,760 --> 00:01:49,720
Speaker 1: of the second side.

42
00:01:49,840 --> 00:01:51,400
Speaker 3: You better watch it. He might tear a few.

43
00:01:51,760 --> 00:01:55,320
Speaker 1: Yes, he's gonna he's reading his father's tweets. All he

44
00:01:55,440 --> 00:01:58,320
Speaker 1: wants is for his father to love him, and instead

45
00:01:58,600 --> 00:02:02,520
Speaker 1: all he gets are his tweets, and he says, yay, Dad.

46
00:02:02,640 --> 00:02:03,720
Speaker 3: Can I ask you a question?

47
00:02:04,000 --> 00:02:04,360
Speaker 2: Yeah?

48
00:02:04,440 --> 00:02:06,320
Speaker 3: Do you think your kids ever read your tweets? And

49
00:02:06,360 --> 00:02:07,160
Speaker 3: stand up and cheer?

50
00:02:07,560 --> 00:02:10,200
Speaker 2: No? I want to talk about this.

51
00:02:10,400 --> 00:02:14,200
Speaker 1: Tariffs do make things more expensive, yes, but the people

52
00:02:14,320 --> 00:02:19,120
Speaker 1: selling the drugs are not the Chinese government, right, they

53
00:02:19,240 --> 00:02:19,919
Speaker 1: understand that.

54
00:02:20,000 --> 00:02:23,320
Speaker 3: Right, They're not the exporters and importers of.

55
00:02:23,639 --> 00:02:24,320
Speaker 2: Fent and all.

56
00:02:24,520 --> 00:02:27,959
Speaker 1: I mean, look, man, Trump was elected to make everything

57
00:02:28,440 --> 00:02:31,280
Speaker 1: less expensive, and so he's going to make everything more

58
00:02:31,320 --> 00:02:34,840
Speaker 1: expensive by putting tariffs on it, including fent and al.

59
00:02:35,040 --> 00:02:36,399
Speaker 1: You're not going to be able to get a cheap

60
00:02:36,480 --> 00:02:40,080
Speaker 1: vent and all anywhere. Just kidding, No, no, don't get

61
00:02:40,160 --> 00:02:43,399
Speaker 1: vent and all. Don't take drugs. Also, don't tariff everything,

62
00:02:43,600 --> 00:02:44,160
Speaker 1: thank you.

63
00:02:44,639 --> 00:02:46,360
Speaker 3: Just say no to tariffs and drugs.

64
00:02:46,639 --> 00:02:48,639
Speaker 2: Tariffs drugs, no, thank you.

65
00:02:48,919 --> 00:02:52,519
Speaker 3: All right, Molly, let's talk about the elephant of stupidity

66
00:02:52,560 --> 00:02:54,800
Speaker 3: in the room. Trump got away with everything.

67
00:02:54,400 --> 00:02:55,040
Speaker 2: Yeah, he did.

68
00:02:55,200 --> 00:02:58,600
Speaker 1: That's the top line here is that Jack Smith has

69
00:02:58,680 --> 00:03:03,440
Speaker 1: made it official's over. He's dismissing the case without prejudice,

70
00:03:03,480 --> 00:03:07,160
Speaker 1: so it could theoretically be opened up again. But let's

71
00:03:07,200 --> 00:03:10,480
Speaker 1: be honest. I think that we all know this is

72
00:03:10,800 --> 00:03:14,239
Speaker 1: the end of the law trying to hold Trump accountable.

73
00:03:14,480 --> 00:03:16,880
Speaker 1: I mean, I don't think any of us should be surprised,

74
00:03:16,919 --> 00:03:19,600
Speaker 1: but I do think the one thing I will say

75
00:03:19,720 --> 00:03:21,960
Speaker 1: is that people put too much faith, and.

76
00:03:21,960 --> 00:03:23,760
Speaker 2: By people, I mean me as well.

77
00:03:23,840 --> 00:03:26,760
Speaker 1: I'm not some you know, if we've learned anything from

78
00:03:26,760 --> 00:03:29,520
Speaker 1: his election, it's that I, you know, just have the

79
00:03:29,600 --> 00:03:33,880
Speaker 1: same sort of I'm wrong too infallible for sure. But

80
00:03:34,520 --> 00:03:38,280
Speaker 1: I think that we definitely saw that a lot of

81
00:03:38,360 --> 00:03:44,600
Speaker 1: people really thought that the law would hold Trump accountable

82
00:03:45,000 --> 00:03:48,720
Speaker 1: for some of the ways he evaded accountability, and it

83
00:03:48,800 --> 00:03:49,600
Speaker 1: was unable to.

84
00:03:50,320 --> 00:03:54,760
Speaker 3: Yeah, that sounds about right. So here's a blast for

85
00:03:54,840 --> 00:03:57,600
Speaker 3: the past. Do you perhaps remember a bunch of not

86
00:03:57,760 --> 00:03:59,720
Speaker 3: so fine people named No Labels?

87
00:04:00,320 --> 00:04:06,920
Speaker 1: I yes, No Labels, Nancy Jacobson and the former Clinton

88
00:04:07,520 --> 00:04:11,320
Speaker 1: pollster Mark Penn, who went on to start No Labels

89
00:04:11,560 --> 00:04:13,280
Speaker 1: and get a lot of money from a lot of

90
00:04:13,320 --> 00:04:16,440
Speaker 1: different people, threatening to run a third party candidate, which

91
00:04:16,440 --> 00:04:17,200
Speaker 1: they never did.

92
00:04:17,400 --> 00:04:19,080
Speaker 2: But they are still salty.

93
00:04:19,560 --> 00:04:22,480
Speaker 3: Yeah, they seem pretty salty. They launched this big glossuit.

94
00:04:22,520 --> 00:04:23,240
Speaker 3: What are you seeing here?

95
00:04:23,480 --> 00:04:26,960
Speaker 1: This should not be surprising because it's so stupid, but

96
00:04:27,800 --> 00:04:31,719
Speaker 1: it is maybe a little surprising. So No Labels is

97
00:04:31,800 --> 00:04:36,760
Speaker 1: going after Reid Hoffman and Third Way because they feel

98
00:04:36,960 --> 00:04:39,440
Speaker 1: that they were insufficiently supportive of.

99
00:04:39,360 --> 00:04:42,520
Speaker 2: The candidate they never ran. I mean, this is like.

100
00:04:42,920 --> 00:04:45,560
Speaker 1: If we had run a candidate, you would have been bad.

101
00:04:45,720 --> 00:04:49,799
Speaker 1: So they're trying to get a legal discovery going exposing

102
00:04:49,839 --> 00:04:54,240
Speaker 1: the secret machinations that they think led to their project's demise. Again,

103
00:04:54,600 --> 00:04:58,159
Speaker 1: I'm not sure how this works, but it does seem

104
00:04:58,200 --> 00:05:00,960
Speaker 1: like an enormous waste of time for all parties involved.

105
00:05:01,240 --> 00:05:04,000
Speaker 1: And we'll see what happens. But you know, No Labels

106
00:05:04,040 --> 00:05:06,400
Speaker 1: continues to be up to no good.

107
00:05:06,760 --> 00:05:07,480
Speaker 2: You're welcome.

108
00:05:07,880 --> 00:05:11,080
Speaker 3: Now we get to what seems to be a mandatory

109
00:05:11,200 --> 00:05:14,400
Speaker 3: section of this podcast, which is what dumb shit is

110
00:05:14,440 --> 00:05:15,080
Speaker 3: Elon up to.

111
00:05:15,480 --> 00:05:18,640
Speaker 1: When we last saw Elon mush Or, as Donald Trump

112
00:05:18,720 --> 00:05:23,279
Speaker 1: calls him Leon, he was jumping up and down and

113
00:05:23,360 --> 00:05:26,280
Speaker 1: exposing his stomach, forming his body in the shape of

114
00:05:26,320 --> 00:05:31,560
Speaker 1: an X, and complaining bitterly about how mean the mainstream

115
00:05:31,600 --> 00:05:34,360
Speaker 1: media was to him. You will be shocked to hear that,

116
00:05:34,400 --> 00:05:36,880
Speaker 1: in fact, he is still complaining about the mainstream media.

117
00:05:37,600 --> 00:05:41,000
Speaker 1: But this is an interesting media issue because it is

118
00:05:41,800 --> 00:05:49,360
Speaker 1: Elon Musk versus Rupert Murdoch. So Trump is billionaire's biggest supporter,

119
00:05:49,960 --> 00:05:53,440
Speaker 1: richest man in the world, is furious at legacy media,

120
00:05:53,839 --> 00:05:56,640
Speaker 1: this time the Wall Street Journal, owned by Rupert Murdoch,

121
00:05:56,800 --> 00:06:02,120
Speaker 1: which is unbelievably ironic and hilarious. So they have a

122
00:06:02,160 --> 00:06:05,440
Speaker 1: big piece that dropped on Monday night which was about

123
00:06:05,480 --> 00:06:09,200
Speaker 1: the environmental problems at his Tesla facility in Texas. I

124
00:06:09,279 --> 00:06:13,880
Speaker 1: just want to say that the headline is Musk says

125
00:06:13,920 --> 00:06:17,400
Speaker 1: he wants to save the planet, Teslass factories are making

126
00:06:17,440 --> 00:06:21,839
Speaker 1: it dirtier, and then he captioned it writing, legacy media

127
00:06:21,920 --> 00:06:25,119
Speaker 1: is a sewer pipe of lies. This is a team

128
00:06:25,640 --> 00:06:32,000
Speaker 1: who have won Pulitzerprises. They are pretty smart and careful.

129
00:06:32,839 --> 00:06:35,040
Speaker 1: It's hard for me to imagine that Walter Journal does

130
00:06:35,080 --> 00:06:38,040
Speaker 1: some of the best reporting going and Elon is furious

131
00:06:38,080 --> 00:06:41,880
Speaker 1: because look the reason they don't the reason and again, like,

132
00:06:42,240 --> 00:06:45,039
Speaker 1: this is the thing I would say to those of

133
00:06:45,160 --> 00:06:47,400
Speaker 1: us who are on the more liberal side when we

134
00:06:47,680 --> 00:06:52,840
Speaker 1: critique the mainstream media, is like, the mainstream media is

135
00:06:53,000 --> 00:06:58,400
Speaker 1: actually trying to keep these people accountable, and without them,

136
00:06:58,880 --> 00:07:02,839
Speaker 1: you will never know about the dirty Tesla factory or

137
00:07:02,920 --> 00:07:07,120
Speaker 1: the dumping this waste in the river. And so the

138
00:07:07,160 --> 00:07:10,440
Speaker 1: reason that Elon is at war with the mainstream media

139
00:07:10,600 --> 00:07:13,480
Speaker 1: is because he doesn't want people reporting stuff. He just

140
00:07:13,600 --> 00:07:18,720
Speaker 1: wants Tesla fans one, two, three news and Maga News four, five,

141
00:07:18,840 --> 00:07:22,000
Speaker 1: six and so it is really important to realize, like

142
00:07:22,080 --> 00:07:26,720
Speaker 1: this is real and in fact, his mother, you may

143
00:07:26,760 --> 00:07:30,680
Speaker 1: remember May Musk, has been going on television to complain

144
00:07:31,200 --> 00:07:33,560
Speaker 1: about how unfair it is that people are mean to

145
00:07:33,640 --> 00:07:37,880
Speaker 1: her son, who happens to be the richest man in

146
00:07:37,920 --> 00:07:39,400
Speaker 1: the entire world.

147
00:07:39,760 --> 00:07:43,280
Speaker 3: Real mom going to the principal's office to clean up

148
00:07:43,320 --> 00:07:44,440
Speaker 3: the best of a shitty kid.

149
00:07:44,480 --> 00:07:47,480
Speaker 2: De energy going on right there, Yeah, Aze and gentlemen.

150
00:07:53,400 --> 00:07:55,960
Speaker 1: Mary Trump is the host of The Mary Trump Show

151
00:07:55,960 --> 00:07:58,680
Speaker 1: and the author of Who Could Ever Love You? A

152
00:07:58,800 --> 00:08:03,120
Speaker 1: family memoir. Welcome back to Fast Politics, Mary Trump, thank

153
00:08:03,160 --> 00:08:05,400
Speaker 1: you for having me, Molly joc Fast, I love you,

154
00:08:05,960 --> 00:08:07,440
Speaker 1: and we are real friends.

155
00:08:07,920 --> 00:08:10,200
Speaker 2: You know, we're in the woods right now. We're in November.

156
00:08:10,520 --> 00:08:14,200
Speaker 1: You know, we're not in the second Trump admin yet,

157
00:08:14,720 --> 00:08:18,240
Speaker 1: but we're starting to get a feel of the insanity

158
00:08:18,440 --> 00:08:23,840
Speaker 1: that we all remember from twenty sixteen, the sheer chaoticness

159
00:08:23,840 --> 00:08:24,160
Speaker 1: of it.

160
00:08:24,440 --> 00:08:27,720
Speaker 5: Yeah, with the recognition because we've been paying attention that

161
00:08:27,760 --> 00:08:29,120
Speaker 5: this is going to be much worse.

162
00:08:29,320 --> 00:08:32,400
Speaker 1: Yes, exactly, and in fact, we were talking about this

163
00:08:32,760 --> 00:08:37,800
Speaker 1: just now, Like there are definitely people in our business,

164
00:08:37,800 --> 00:08:40,640
Speaker 1: in the media industrial complex, and I think like one

165
00:08:40,679 --> 00:08:42,959
Speaker 1: of the things I'm struck by is like I wrote

166
00:08:42,960 --> 00:08:46,280
Speaker 1: about getting a lot of the election wrong, or at

167
00:08:46,360 --> 00:08:48,800
Speaker 1: least I thought Harris was going to win, and I

168
00:08:48,840 --> 00:08:49,600
Speaker 1: got that wrong.

169
00:08:49,720 --> 00:08:51,720
Speaker 2: And there were other things I got wrong.

170
00:08:51,760 --> 00:08:54,280
Speaker 1: And I've spent a lot of time like thinking about

171
00:08:54,320 --> 00:09:00,760
Speaker 1: the ways in which wish casting overwhelmed my I for data,

172
00:09:01,000 --> 00:09:03,280
Speaker 1: you know, stuff like that. But I want to be

173
00:09:03,400 --> 00:09:06,400
Speaker 1: clear eyed and like the truth is. And people say

174
00:09:06,440 --> 00:09:08,360
Speaker 1: this to me. Sometimes they'll be like, well, didn't you

175
00:09:08,360 --> 00:09:09,960
Speaker 1: guys all want them to win? And I'm like, I

176
00:09:10,080 --> 00:09:13,319
Speaker 1: did not, But there are definitely people who work in

177
00:09:13,559 --> 00:09:14,920
Speaker 1: the mainstream media who did.

178
00:09:15,360 --> 00:09:15,880
Speaker 2: Yeah.

179
00:09:15,920 --> 00:09:18,440
Speaker 5: Well, then what, as I said, be careful what you

180
00:09:18,480 --> 00:09:20,920
Speaker 5: wish for. It's not going to end well for a

181
00:09:20,920 --> 00:09:21,560
Speaker 5: lot of people.

182
00:09:21,760 --> 00:09:23,440
Speaker 2: It's not going to end well for anyone.

183
00:09:23,679 --> 00:09:26,400
Speaker 1: And it's funny because it's like, when we are talking

184
00:09:26,400 --> 00:09:29,559
Speaker 1: about this, it's like we're in this period where I

185
00:09:29,720 --> 00:09:31,760
Speaker 1: just hope it's not going to be as bad as

186
00:09:31,760 --> 00:09:34,000
Speaker 1: the stuff I've read in Project twenty twenty five.

187
00:09:34,559 --> 00:09:38,160
Speaker 5: I hope that I'm not confident of that, because there's

188
00:09:38,240 --> 00:09:40,920
Speaker 5: literally no reason it wouldn't be. I just want to

189
00:09:40,920 --> 00:09:44,360
Speaker 5: say something really quickly though, about people's receptions of how

190
00:09:44,400 --> 00:09:47,120
Speaker 5: the election was going to go for alone time. Some

191
00:09:47,160 --> 00:09:51,360
Speaker 5: people were saying it's not close, it's uncertain, and right

192
00:09:51,480 --> 00:09:55,880
Speaker 5: that it was both, And I think that it's extraordinarily

193
00:09:56,000 --> 00:09:59,960
Speaker 5: important to point out that there have been massive global

194
00:10:00,120 --> 00:10:05,520
Speaker 5: trends against incumbency, and which is deeply unfair for many reasons,

195
00:10:05,640 --> 00:10:07,880
Speaker 5: because the reason where where we are now in some

196
00:10:07,960 --> 00:10:12,480
Speaker 5: ways is directly because of the malfeasance and incompetence of

197
00:10:12,520 --> 00:10:17,480
Speaker 5: the first Trump administration. But the United States, across every

198
00:10:17,520 --> 00:10:21,400
Speaker 5: economic indicator, it's fared better than every other country in

199
00:10:21,440 --> 00:10:25,880
Speaker 5: the developed world, and the margin in our election was

200
00:10:26,160 --> 00:10:28,920
Speaker 5: much much smaller than in any other as far as

201
00:10:28,920 --> 00:10:31,760
Speaker 5: I'm aware. So I don't think it was a mistake

202
00:10:31,800 --> 00:10:34,880
Speaker 5: at all to believe that Harris was going to pull

203
00:10:34,920 --> 00:10:39,599
Speaker 5: it out. She did extraordinarily well under very difficult circumstances.

204
00:10:39,960 --> 00:10:42,000
Speaker 5: And we now know that it was people who made

205
00:10:42,080 --> 00:10:43,840
Speaker 5: up their minds late in the game who broke for

206
00:10:43,920 --> 00:10:49,040
Speaker 5: Donald because of massive amounts of disinformation that we're being

207
00:10:49,080 --> 00:10:52,760
Speaker 5: pumped in. So I don't think we were wrong quite honestly.

208
00:10:52,800 --> 00:10:55,679
Speaker 1: Right, No, now I agree, and I feel like I

209
00:10:55,720 --> 00:10:57,880
Speaker 1: was wrong about certain things, and I saw things that

210
00:10:57,920 --> 00:11:02,439
Speaker 1: I ignored and actually about this but I agree that

211
00:11:02,760 --> 00:11:07,200
Speaker 1: it was certainly much closer than it was anywhere else.

212
00:11:07,360 --> 00:11:10,640
Speaker 1: And also, I mean, they're just any number of things

213
00:11:10,640 --> 00:11:14,040
Speaker 1: that are important or remember here. And also Democrats did

214
00:11:13,760 --> 00:11:17,240
Speaker 1: in almost all the swing states except for Pennsylvania.

215
00:11:17,360 --> 00:11:18,360
Speaker 2: Keep the Senate seed.

216
00:11:18,679 --> 00:11:21,000
Speaker 5: That's something really important to keep in mind. And the

217
00:11:21,080 --> 00:11:23,240
Speaker 5: other important thing to keep in mind. I guess it

218
00:11:23,280 --> 00:11:26,600
Speaker 5: doesn't matter, it really matter, but it matters to me

219
00:11:27,000 --> 00:11:30,439
Speaker 5: because we have a huge uphill battle to climb now.

220
00:11:30,840 --> 00:11:34,160
Speaker 5: Donald Trump one does not have a mandate. He didn't

221
00:11:34,200 --> 00:11:37,800
Speaker 5: even break fifty percent of the popular vote. The margin

222
00:11:37,920 --> 00:11:41,160
Speaker 5: is the smallest it's been in modern history because remember

223
00:11:41,280 --> 00:11:43,000
Speaker 5: Gore won the popular.

224
00:11:42,640 --> 00:11:44,000
Speaker 2: Vote right exactly.

225
00:11:44,520 --> 00:11:48,280
Speaker 5: It is the smallest margin of popular vote victory. And

226
00:11:48,679 --> 00:11:52,120
Speaker 5: in my view, he's an illegitimate president because he was

227
00:11:52,160 --> 00:11:55,120
Speaker 5: an illegitimate candidate, and the fact that he was able

228
00:11:55,200 --> 00:12:00,960
Speaker 5: to run it all speaks less to his ability to

229
00:12:01,040 --> 00:12:04,320
Speaker 5: overcome obstacles than it does to how deeply broken the

230
00:12:04,400 --> 00:12:07,200
Speaker 5: system is that somebody like him was allowed to run

231
00:12:07,240 --> 00:12:07,960
Speaker 5: in the first place.

232
00:12:09,240 --> 00:12:11,800
Speaker 1: A good point, this is something that I've sort of

233
00:12:11,840 --> 00:12:15,000
Speaker 1: gotten to in my head, is that if you look

234
00:12:15,040 --> 00:12:19,680
Speaker 1: at the election results, we see that it's like what

235
00:12:19,720 --> 00:12:21,680
Speaker 1: Trump did was the same thing he did in twenty

236
00:12:21,760 --> 00:12:26,080
Speaker 1: twenty and twenty sixteen, which was he was able to

237
00:12:26,200 --> 00:12:30,320
Speaker 1: create his own thing right and get non voters voting,

238
00:12:31,200 --> 00:12:34,520
Speaker 1: And we can sort of unpack how he did that,

239
00:12:34,600 --> 00:12:37,040
Speaker 1: though I don't think we totally get I don't think

240
00:12:37,080 --> 00:12:41,280
Speaker 1: we have completely all the information yet. But I think

241
00:12:41,320 --> 00:12:45,040
Speaker 1: that if you compare it to like, there's so much

242
00:12:45,120 --> 00:12:47,480
Speaker 1: punitrary about like the Democratic.

243
00:12:46,920 --> 00:12:50,040
Speaker 2: Brand being bad, but I don't actually think that's right.

244
00:12:50,720 --> 00:12:53,760
Speaker 1: I actually think I think Democrats didn't do enough to

245
00:12:53,800 --> 00:12:57,120
Speaker 1: get their base engaged and try too hard to win

246
00:12:57,320 --> 00:13:01,480
Speaker 1: over Republicans who weren't white on college educated women who

247
00:13:01,559 --> 00:13:03,160
Speaker 1: weren't coming along with it anyway.

248
00:13:03,440 --> 00:13:05,200
Speaker 2: I also think that there's a real.

249
00:13:05,000 --> 00:13:07,720
Speaker 1: Theory of the case that the brand that is worst

250
00:13:07,800 --> 00:13:09,360
Speaker 1: off is a publican brand.

251
00:13:09,720 --> 00:13:14,760
Speaker 5: Absolutely, it's absurd to claim otherwise. And I think this

252
00:13:14,960 --> 00:13:20,880
Speaker 5: falls under the umbrella of normalization of corporate media in particular,

253
00:13:21,559 --> 00:13:27,920
Speaker 5: always coming down to the disadvantage of Democrats to normalize

254
00:13:27,960 --> 00:13:31,160
Speaker 5: Donald and everything that the Republican Party has been doing,

255
00:13:31,600 --> 00:13:34,960
Speaker 5: because you know, treating this election like it was a

256
00:13:35,000 --> 00:13:40,480
Speaker 5: normal election and saying that the Democrats lost because their

257
00:13:40,559 --> 00:13:43,400
Speaker 5: brand is terrible they have to, you know, burshe the

258
00:13:43,480 --> 00:13:45,520
Speaker 5: party and rebuild it from the ground up.

259
00:13:45,880 --> 00:13:46,760
Speaker 2: Right. It's crazy.

260
00:13:46,800 --> 00:13:51,600
Speaker 5: It's completely crazy because again they barely lost. Okay, you know,

261
00:13:52,080 --> 00:13:57,280
Speaker 5: we do make the electoral College calculations, which unfortunately we

262
00:13:57,360 --> 00:13:59,760
Speaker 5: have to do. It was what two hundred and twenty

263
00:13:59,760 --> 00:14:04,000
Speaker 5: five votes in seven states or something. So that's just

264
00:14:04,080 --> 00:14:10,880
Speaker 5: absurd on its face. And it also completely ignores the

265
00:14:10,920 --> 00:14:16,360
Speaker 5: fact that the Republicans nominated an adjudicated rapist, a man

266
00:14:16,400 --> 00:14:19,760
Speaker 5: who was convicted of thirty four felonies, who started the

267
00:14:19,800 --> 00:14:23,360
Speaker 5: Big Lie, who had incited an insurrection against his own government,

268
00:14:23,560 --> 00:14:26,960
Speaker 5: who was out on bail and three other jurisdictions, and

269
00:14:27,000 --> 00:14:29,560
Speaker 5: who is where he is today simply because our system

270
00:14:29,640 --> 00:14:34,360
Speaker 5: is so deeply, deeply corrupt that one federal judge and

271
00:14:34,720 --> 00:14:38,720
Speaker 5: six illegitiate members of the Supreme Court decided that he

272
00:14:38,840 --> 00:14:39,680
Speaker 5: was above the law.

273
00:14:39,840 --> 00:14:42,440
Speaker 1: But I also think just one last part of this,

274
00:14:43,120 --> 00:14:46,800
Speaker 1: like when you look at the numbers, you see that,

275
00:14:47,200 --> 00:14:49,800
Speaker 1: in fact, voters did this crazy thing where in a

276
00:14:49,840 --> 00:14:52,480
Speaker 1: lot of these swing states they voted for Trump and

277
00:14:52,520 --> 00:14:54,680
Speaker 1: then they left the bottom of the ticket blank.

278
00:14:54,720 --> 00:14:57,400
Speaker 5: Right, Or there was more splitting of tickets than usual,

279
00:14:57,640 --> 00:15:01,880
Speaker 5: or there was some very odd, very voting patterns that

280
00:15:01,960 --> 00:15:05,520
Speaker 5: I think need to be taken into account or you know,

281
00:15:05,720 --> 00:15:09,960
Speaker 5: need to be not investigated, but examined analyzed, because that's

282
00:15:10,000 --> 00:15:12,480
Speaker 5: information we need to have, like what happened there? What

283
00:15:13,120 --> 00:15:15,360
Speaker 5: is that about? But the other thing that I completely

284
00:15:15,440 --> 00:15:19,320
Speaker 5: forgot to mention is that, you know, this isn't about

285
00:15:19,320 --> 00:15:21,760
Speaker 5: the Democratic brand. This is about the fact that this

286
00:15:21,960 --> 00:15:25,080
Speaker 5: the United States of America, continues to be a deeply

287
00:15:25,280 --> 00:15:29,480
Speaker 5: racist and misogynistic country. You've got sixty percent of white

288
00:15:29,520 --> 00:15:32,240
Speaker 5: men and fifty three percent of white women voting for

289
00:15:32,280 --> 00:15:36,160
Speaker 5: this adjudicated rapist, voting for the men who is proud

290
00:15:36,280 --> 00:15:39,040
Speaker 5: to have made women in half of our state's second

291
00:15:39,080 --> 00:15:42,680
Speaker 5: class citizens, who is proud to take away a fundamental

292
00:15:42,760 --> 00:15:45,840
Speaker 5: right that women have had for over fifty years simply

293
00:15:45,880 --> 00:15:48,800
Speaker 5: because his opponent was a black woman. We can't just

294
00:15:49,200 --> 00:15:52,960
Speaker 5: skip over that, because that continues to be a fundamental

295
00:15:53,000 --> 00:15:56,360
Speaker 5: problem that is not getting fixed.

296
00:15:56,800 --> 00:16:00,160
Speaker 1: Yes, but I'm wondering, can we talk about like what

297
00:16:00,200 --> 00:16:05,360
Speaker 1: we do now with Trump? So sorry, I always forget

298
00:16:05,360 --> 00:16:08,400
Speaker 1: that we have to cover him because he's the president.

299
00:16:08,960 --> 00:16:10,640
Speaker 1: We don't have to give him the benefit of the

300
00:16:10,760 --> 00:16:13,440
Speaker 1: doubt because we covered him for four years.

301
00:16:13,600 --> 00:16:16,600
Speaker 2: Do you feel like that is the way to do it?

302
00:16:16,720 --> 00:16:17,720
Speaker 2: I mean, what do you think.

303
00:16:17,880 --> 00:16:20,520
Speaker 5: I don't think I've ever met anybody who deserves the

304
00:16:20,560 --> 00:16:25,280
Speaker 5: benefit of the doubt less Donald Trump right exactly. Yes,

305
00:16:25,320 --> 00:16:27,000
Speaker 5: we have to cover him, and we have to cover

306
00:16:27,120 --> 00:16:31,080
Speaker 5: him properly because we're already seeing many of the corporate

307
00:16:31,120 --> 00:16:34,160
Speaker 5: media falling down one because there was just a pole taking.

308
00:16:34,240 --> 00:16:36,840
Speaker 5: And the majority of Americans think that the transition is

309
00:16:36,880 --> 00:16:37,840
Speaker 5: going swimmingly.

310
00:16:38,360 --> 00:16:42,280
Speaker 2: Oh no, really, really, what is it? What is the

311
00:16:42,400 --> 00:16:43,480
Speaker 2: swimming part of it?

312
00:16:43,680 --> 00:16:48,160
Speaker 5: They like his picks, you know, they like dominees. Maybe

313
00:16:48,200 --> 00:16:50,600
Speaker 5: some of them like the fact that he's not going

314
00:16:50,680 --> 00:16:54,000
Speaker 5: to demean himself by blowing procede jerk.

315
00:16:54,800 --> 00:17:00,760
Speaker 1: Oh Jesus Christ. Yeah, by letting his cabinet appointments be it. Yeah,

316
00:17:00,800 --> 00:17:02,880
Speaker 1: that's terrible. And nobody wants that.

317
00:17:03,320 --> 00:17:10,120
Speaker 5: Signing the memoranda of understanding, which gives the GSA power

318
00:17:10,200 --> 00:17:13,840
Speaker 5: to make sure that there's no grift happening or no

319
00:17:14,200 --> 00:17:17,719
Speaker 5: barn money being illicitly raised, etcetera, etcetera. So he's not

320
00:17:18,000 --> 00:17:18,879
Speaker 5: any of that stuff.

321
00:17:19,000 --> 00:17:20,480
Speaker 2: Yeah, Yeah, nobody likes that.

322
00:17:20,840 --> 00:17:25,439
Speaker 5: I think we need to cover him absolutely so that

323
00:17:25,960 --> 00:17:30,080
Speaker 5: we can disabuse people of these notions. That does not, however,

324
00:17:30,480 --> 00:17:34,240
Speaker 5: mean making it easier for him, like the idea I

325
00:17:34,240 --> 00:17:37,159
Speaker 5: was talking to somebody earlier about, you know, access journalism,

326
00:17:37,160 --> 00:17:40,600
Speaker 5: and what is the point of interviewing Donald Trump at

327
00:17:40,600 --> 00:17:43,440
Speaker 5: this He's just going to lie to your face and

328
00:17:43,880 --> 00:17:47,439
Speaker 5: try to, you know, tear down anybody in the media

329
00:17:47,640 --> 00:17:50,639
Speaker 5: who thwarts him or who fact checks him, or what

330
00:17:50,760 --> 00:17:53,479
Speaker 5: have you. I think he needs to be covered like

331
00:17:53,760 --> 00:17:57,000
Speaker 5: a hostile foreign power, because he is one, right.

332
00:17:57,240 --> 00:18:00,520
Speaker 1: I also think that it's sort of an interesting like.

333
00:18:00,600 --> 00:18:02,920
Speaker 1: I mean, I do think, look, they have to cover him,

334
00:18:03,040 --> 00:18:07,080
Speaker 1: and coverage means that could mean any number of things, right,

335
00:18:07,640 --> 00:18:08,680
Speaker 1: But you.

336
00:18:08,600 --> 00:18:09,919
Speaker 2: Know, and I don't know.

337
00:18:10,040 --> 00:18:12,879
Speaker 1: I mean, I'm of two minds about interviewing him, because

338
00:18:12,960 --> 00:18:15,480
Speaker 1: you certainly have to talk to the people around him.

339
00:18:15,640 --> 00:18:18,080
Speaker 1: You're going to get stories that way. Trump's White House

340
00:18:18,200 --> 00:18:21,480
Speaker 1: leaks like a sieve. The only way that any of

341
00:18:21,520 --> 00:18:24,840
Speaker 1: the norms and institutions are going to hold is if

342
00:18:24,880 --> 00:18:28,520
Speaker 1: people are leaking out some of the nefarious stuff they're doing,

343
00:18:28,680 --> 00:18:32,280
Speaker 1: which delightfully they all love to do. So, I mean,

344
00:18:32,320 --> 00:18:34,760
Speaker 1: I'm very conflicted about sort of the right way to

345
00:18:34,800 --> 00:18:37,199
Speaker 1: go about this, And there is no handbook for covering

346
00:18:37,240 --> 00:18:41,040
Speaker 1: an authoritarian and in what's left of a democracy.

347
00:18:41,800 --> 00:18:45,560
Speaker 5: No, I think we'll know more when we see what

348
00:18:45,720 --> 00:18:49,160
Speaker 5: happens with the White House Press Office. You know, when

349
00:18:49,320 --> 00:18:52,520
Speaker 5: we see who gets press passes, who doesn't, who gets

350
00:18:52,880 --> 00:18:55,720
Speaker 5: better seating, who doesn't. You know, who gets pushed to

351
00:18:55,720 --> 00:18:57,640
Speaker 5: the back of the room, who's allowed to the first

352
00:18:57,680 --> 00:19:01,520
Speaker 5: two rows? Is a NEWSMAC and more of Fox people

353
00:19:01,760 --> 00:19:06,200
Speaker 5: and Charlie Kirk and those people I know, people who

354
00:19:06,240 --> 00:19:09,680
Speaker 5: probably aren't going to going to get press passes this Cybern.

355
00:19:09,760 --> 00:19:13,840
Speaker 5: That'll be a good cue for what how we handle it.

356
00:19:13,960 --> 00:19:16,160
Speaker 5: But and I mean this is this has been true

357
00:19:16,160 --> 00:19:19,679
Speaker 5: for a long time. We need stronger independent media. There

358
00:19:19,680 --> 00:19:23,280
Speaker 5: are two things that continue to mystify me and have

359
00:19:23,440 --> 00:19:26,960
Speaker 5: for a long time. Why the Democrats haven't for decades

360
00:19:27,000 --> 00:19:31,040
Speaker 5: now made the Supreme Court more important issue, and why

361
00:19:31,080 --> 00:19:34,199
Speaker 5: there's nobody on the left throwing tons of money at

362
00:19:34,240 --> 00:19:37,240
Speaker 5: independent media. And then there's a new third thing, which

363
00:19:37,280 --> 00:19:42,840
Speaker 5: is why the Democrats did absolutely nothing to create safeguards

364
00:19:42,880 --> 00:19:45,320
Speaker 5: against the potential for another Trump administration.

365
00:19:45,960 --> 00:19:51,119
Speaker 1: Yeah, I mean, yeah, all right, sounds right to me.

366
00:19:51,560 --> 00:19:56,240
Speaker 1: I mean yeah, I mean, I it certainly sounds right

367
00:19:56,280 --> 00:19:59,040
Speaker 1: to me. I also am just shocked that we're hearing

368
00:19:59,119 --> 00:20:01,760
Speaker 1: at I mean, now is the other thing dead? And

369
00:20:01,800 --> 00:20:05,560
Speaker 1: I also feel I mean, I don't know how this happened.

370
00:20:05,760 --> 00:20:07,719
Speaker 1: I mean, I do know how this happened, and I

371
00:20:07,760 --> 00:20:10,880
Speaker 1: do know, but I also feel like Trump ran on

372
00:20:10,920 --> 00:20:14,720
Speaker 1: this idea of making things less expensive, and now the

373
00:20:14,800 --> 00:20:16,600
Speaker 1: first thing he's going to do is tariffs.

374
00:20:17,040 --> 00:20:20,679
Speaker 6: Yeah, he lied about He lied about everything, and he

375
00:20:20,760 --> 00:20:24,040
Speaker 6: was allowed to lie about everything because we were told, well,

376
00:20:24,080 --> 00:20:27,600
Speaker 6: that's what he does that dial it's a big did right,

377
00:20:27,640 --> 00:20:28,600
Speaker 6: It's all just big.

378
00:20:30,000 --> 00:20:34,199
Speaker 5: So oh, he hates women and he abuses them and

379
00:20:34,240 --> 00:20:37,480
Speaker 5: assaults them. Yeah, but we knew that already. Who cares

380
00:20:37,680 --> 00:20:41,639
Speaker 5: like every single disqualifying thing about it? We were told

381
00:20:41,680 --> 00:20:44,639
Speaker 5: that we just have to accept. So what do you

382
00:20:44,760 --> 00:20:49,280
Speaker 5: do right, Like, how do you make any distinctions anymore? So, yes,

383
00:20:49,320 --> 00:20:52,360
Speaker 5: he's going to do exactly the opposite. This is going

384
00:20:52,400 --> 00:20:56,280
Speaker 5: to be a cacistocracy, a kleptocracy in an oligarchy all

385
00:20:56,400 --> 00:20:59,440
Speaker 5: rolled into one, a little bit of a theocratic apartheid

386
00:20:59,520 --> 00:21:01,480
Speaker 5: states just for fun.

387
00:21:01,680 --> 00:21:06,360
Speaker 1: Yeah, well the theocracy as the granddaughter of a leftist communist.

388
00:21:06,480 --> 00:21:07,760
Speaker 2: That stuff really bothers me.

389
00:21:07,840 --> 00:21:10,200
Speaker 1: I mean it all bothers me, But that the Jim

390
00:21:10,280 --> 00:21:14,119
Speaker 1: Crow stuff and the religious extremists stuff really gets to me.

391
00:21:14,760 --> 00:21:18,000
Speaker 5: And that's going under the radar because the economy of

392
00:21:18,040 --> 00:21:20,800
Speaker 5: the economy of the economy, which was covered so poorly

393
00:21:21,080 --> 00:21:23,520
Speaker 5: that people actually thought we were better off four years

394
00:21:23,560 --> 00:21:24,520
Speaker 5: ago than we are now.

395
00:21:24,880 --> 00:21:26,960
Speaker 1: But some of it was poor carverage and some of

396
00:21:26,960 --> 00:21:29,879
Speaker 1: it was people just don't go to the news anymore, right,

397
00:21:29,960 --> 00:21:30,480
Speaker 1: I mean.

398
00:21:30,800 --> 00:21:33,639
Speaker 5: Or they get it from places that just lie to them.

399
00:21:33,560 --> 00:21:36,880
Speaker 1: Right exactly. Oh, Mary Trump.

400
00:21:36,760 --> 00:21:39,080
Speaker 5: Well they jus feel better now.

401
00:21:40,080 --> 00:21:41,359
Speaker 2: No, I don't feel better.

402
00:21:41,680 --> 00:21:42,160
Speaker 5: Sorry.

403
00:21:42,359 --> 00:21:44,560
Speaker 2: What else are you looking at right now? What else

404
00:21:44,560 --> 00:21:46,440
Speaker 2: are you thinking about? What else are you reading?

405
00:21:46,840 --> 00:21:49,200
Speaker 1: Can we do two minutes on what we're watching on television?

406
00:21:49,280 --> 00:21:49,600
Speaker 5: Oh?

407
00:21:49,640 --> 00:21:50,120
Speaker 7: Totally.

408
00:21:50,280 --> 00:21:53,639
Speaker 1: I am watching Bad Sisters and it is really great.

409
00:21:53,920 --> 00:21:56,119
Speaker 5: Had you seen it the first season already?

410
00:21:56,400 --> 00:21:56,480
Speaker 1: No?

411
00:21:57,040 --> 00:21:59,800
Speaker 5: Oh okay, yeah, it's.

412
00:22:01,080 --> 00:22:04,560
Speaker 2: It's so good. What are you watching on television or reading?

413
00:22:04,880 --> 00:22:08,639
Speaker 5: Or I am watching so much more television than usual,

414
00:22:08,760 --> 00:22:10,720
Speaker 5: But I don't know way they gets in the background.

415
00:22:12,280 --> 00:22:16,600
Speaker 5: It's all like I'm reading Murder Mysteries and I'm watching

416
00:22:16,760 --> 00:22:20,400
Speaker 5: shows like you know, it's all BBC stuff pretty much.

417
00:22:20,680 --> 00:22:22,879
Speaker 2: Yeah, that's class respect.

418
00:22:23,160 --> 00:22:25,679
Speaker 5: I had been watching Slowhorses, which is amazing. But in

419
00:22:25,760 --> 00:22:28,720
Speaker 5: terms of just my murder mystery phase I'm in, there's

420
00:22:28,800 --> 00:22:31,399
Speaker 5: this new thing called the Marlow Murder Club, which is

421
00:22:31,520 --> 00:22:35,240
Speaker 5: just silly and adorable stuff like that. I'm also watching

422
00:22:35,440 --> 00:22:38,520
Speaker 5: an Australian show which is so unlike not not because

423
00:22:38,520 --> 00:22:41,800
Speaker 5: it's Australian, but what it's about. It's called Under the Vines.

424
00:22:42,119 --> 00:22:43,280
Speaker 2: Oh fabulous.

425
00:22:43,520 --> 00:22:47,400
Speaker 5: It's just this sweet little show about two people who

426
00:22:47,440 --> 00:22:52,440
Speaker 5: come together because they both inherited a vineyard. Yeah, it's

427
00:22:52,720 --> 00:22:56,840
Speaker 5: just you know, That's what I'm doing because everything else

428
00:22:57,000 --> 00:22:58,119
Speaker 5: is very hard.

429
00:22:58,680 --> 00:23:01,320
Speaker 2: Yes, Mary, thank you for joining me.

430
00:23:01,880 --> 00:23:04,720
Speaker 5: Thanks for having them Alla hanging there. We're gonna be okay.

431
00:23:06,880 --> 00:23:11,160
Speaker 1: Ryan Broderick is the editor of the newsletter.

432
00:23:10,640 --> 00:23:15,600
Speaker 2: On Garbage Day. Welcome to Fast Politics.

433
00:23:15,119 --> 00:23:16,960
Speaker 7: Ryan, thank you, thank you for having me.

434
00:23:17,160 --> 00:23:20,000
Speaker 1: I'm very excited because I am a longtime caller, first

435
00:23:20,040 --> 00:23:20,760
Speaker 1: time listener.

436
00:23:20,960 --> 00:23:24,560
Speaker 7: No, i am as well for you, I'm a first

437
00:23:24,600 --> 00:23:27,919
Speaker 7: time caller. I'm the right version of what you said also,

438
00:23:28,080 --> 00:23:29,320
Speaker 7: but for you that's true.

439
00:23:29,400 --> 00:23:32,600
Speaker 1: Yeah, so tell everyone what you do.

440
00:23:32,760 --> 00:23:34,120
Speaker 2: You're really brilliant.

441
00:23:34,280 --> 00:23:37,439
Speaker 1: And just for the people who are older like my

442
00:23:37,560 --> 00:23:40,720
Speaker 1: dad who don't know about cool stuff.

443
00:23:40,960 --> 00:23:41,919
Speaker 2: Sorry dad, go.

444
00:23:42,680 --> 00:23:42,880
Speaker 5: Yeah.

445
00:23:42,920 --> 00:23:44,960
Speaker 7: So my name is Ryan Broderick. I write a newsletter

446
00:23:44,960 --> 00:23:47,720
Speaker 7: called Garbage Day, and I host a podcast called Panic World,

447
00:23:47,920 --> 00:23:51,560
Speaker 7: and I mainly specialize in how the Internet is turning

448
00:23:51,560 --> 00:23:53,879
Speaker 7: all the brains into mashed potatoes. That's sort of my beat.

449
00:23:54,760 --> 00:23:58,440
Speaker 7: So Internet culture, technology, memes, trends, whatever, whatever is needed.

450
00:23:58,480 --> 00:24:01,800
Speaker 1: On the day, Andrew Breitbart had a quote that politics

451
00:24:01,840 --> 00:24:05,800
Speaker 1: was downstream of culture. Yes he did, And my hottest

452
00:24:05,800 --> 00:24:09,440
Speaker 1: take is that politics is downstream of Internet.

453
00:24:09,520 --> 00:24:12,399
Speaker 7: I think in the last four years everything has slowly

454
00:24:12,440 --> 00:24:14,600
Speaker 7: become downstream of the Internet in a way. I think

455
00:24:14,600 --> 00:24:17,000
Speaker 7: that is true, and I think politics was probably the

456
00:24:17,040 --> 00:24:19,920
Speaker 7: first to go at some point around twenty fifteen, probably,

457
00:24:19,960 --> 00:24:22,280
Speaker 7: but everything else has now followed suit, that's for sure.

458
00:24:22,520 --> 00:24:23,200
Speaker 2: I would love you.

459
00:24:23,200 --> 00:24:27,240
Speaker 1: To explain an example of politics being downstream of Internet.

460
00:24:27,480 --> 00:24:30,600
Speaker 1: My example would be Donald J. Trump and how he

461
00:24:30,640 --> 00:24:31,760
Speaker 1: won in twenty twenty four.

462
00:24:32,000 --> 00:24:34,800
Speaker 7: So I would say, definitely how he won in twenty sixteen.

463
00:24:35,320 --> 00:24:37,800
Speaker 7: I am skeptical about twenty twenty four. I'm still sort

464
00:24:37,800 --> 00:24:38,800
Speaker 7: of processing it.

465
00:24:38,880 --> 00:24:39,320
Speaker 2: Explain.

466
00:24:39,760 --> 00:24:42,160
Speaker 7: I think the Internet played a big role in propaganda

467
00:24:42,240 --> 00:24:44,640
Speaker 7: for him. I'm not sure if it actually mobilized voters,

468
00:24:44,680 --> 00:24:46,880
Speaker 7: but I think a twenty twenty four example that would

469
00:24:46,920 --> 00:24:50,119
Speaker 7: be interesting was perhaps the miscalculation of the Democrats on

470
00:24:50,160 --> 00:24:53,480
Speaker 7: the power of the pop girlies, so Charlie XCX, chapel Ron,

471
00:24:53,880 --> 00:24:57,320
Speaker 7: Taylor Swift kind of attaching themselves to a very TikTok

472
00:24:57,359 --> 00:25:00,400
Speaker 7: friendly campaign. And I think what we sa I saw

473
00:25:00,720 --> 00:25:03,800
Speaker 7: this time around was actually the conversations that people were

474
00:25:03,800 --> 00:25:06,320
Speaker 7: having about politics in America were happening on text messages.

475
00:25:06,359 --> 00:25:09,240
Speaker 7: They were happening in group chats, dark social That's where

476
00:25:09,320 --> 00:25:11,680
Speaker 7: Trump was sort of playing I think his best ground game, right,

477
00:25:11,760 --> 00:25:14,760
Speaker 7: like destroying your phone with clips of Kamala that's kind

478
00:25:14,760 --> 00:25:16,760
Speaker 7: of thing. So, but I'm on the fence. I could

479
00:25:16,800 --> 00:25:18,840
Speaker 7: be persuaded. I haven't made up my mind yet.

480
00:25:18,880 --> 00:25:21,119
Speaker 1: I really love having you on because this is something

481
00:25:21,160 --> 00:25:22,240
Speaker 1: that no one has said to me.

482
00:25:22,480 --> 00:25:25,200
Speaker 2: Really, I'm on this weird like post.

483
00:25:24,880 --> 00:25:28,280
Speaker 1: Mortem What I Got Wrong tour where I wrote about

484
00:25:28,280 --> 00:25:31,800
Speaker 1: everything I got wrong, and then I tried to ask

485
00:25:31,960 --> 00:25:34,359
Speaker 1: people what I got wrong, And now I sort of

486
00:25:34,359 --> 00:25:37,280
Speaker 1: want to know what everybody else got wrong. And literally

487
00:25:37,320 --> 00:25:39,800
Speaker 1: no one has made this suggestion to me. So I

488
00:25:39,880 --> 00:25:42,720
Speaker 1: want you to spend another minute talking about it because

489
00:25:42,800 --> 00:25:46,960
Speaker 1: it's meaningful and important. So and it explained us the

490
00:25:47,000 --> 00:25:50,199
Speaker 1: difference between the sort of outward facing Internet and the

491
00:25:50,280 --> 00:25:52,159
Speaker 1: kind of inward facing Internet.

492
00:25:52,400 --> 00:25:54,280
Speaker 7: Sure, I've been thinking about this because it's part of

493
00:25:54,280 --> 00:25:56,240
Speaker 7: my post mortem because I was spending the summer being

494
00:25:56,280 --> 00:25:58,600
Speaker 7: like she's got it, Like this is so good. I

495
00:25:58,640 --> 00:26:01,680
Speaker 7: love this. It's like, Okay, it didn't matter. Why didn't

496
00:26:01,720 --> 00:26:02,080
Speaker 7: it matter?

497
00:26:02,240 --> 00:26:05,600
Speaker 1: Right, same exactly. I was like, we're gonna know. Early

498
00:26:05,840 --> 00:26:08,240
Speaker 1: I was on television and I was like, I think

499
00:26:08,280 --> 00:26:10,639
Speaker 1: it's all gonna have and Matt Rachel Mattow is like,

500
00:26:10,880 --> 00:26:13,560
Speaker 1: really gave me. Yeah, she gave me like you're gonna

501
00:26:13,600 --> 00:26:15,600
Speaker 1: be okay, pep talk because I was like, had seen

502
00:26:15,680 --> 00:26:17,960
Speaker 1: a ghost and she was like, you're gonna be okay.

503
00:26:18,400 --> 00:26:20,960
Speaker 7: I think Rachel Maddow is correct. So okay. The first

504
00:26:21,000 --> 00:26:23,560
Speaker 7: thing is like public versus private Internet, Right, So ten

505
00:26:23,640 --> 00:26:25,560
Speaker 7: years ago, I think it was much more robust. So

506
00:26:25,600 --> 00:26:27,879
Speaker 7: you had Facebook as the biggest public platform, and then

507
00:26:27,920 --> 00:26:30,120
Speaker 7: you had Facebook actually in a lot of ways being

508
00:26:30,160 --> 00:26:32,520
Speaker 7: downstream once again of Twitter, which is I always sort

509
00:26:32,520 --> 00:26:34,000
Speaker 7: of think of as the tip of the iceberg of

510
00:26:34,040 --> 00:26:37,000
Speaker 7: the Internet. It's small, but it's influential. You can kind

511
00:26:37,000 --> 00:26:39,200
Speaker 7: of see the patterns and rhythms of the Internet. There

512
00:26:39,520 --> 00:26:42,000
Speaker 7: but there's a bunch of other platforms Instagram, read it

513
00:26:42,080 --> 00:26:44,640
Speaker 7: all that. Then you have private internet, which I think

514
00:26:44,920 --> 00:26:47,560
Speaker 7: was more popular in other countries before it was popular

515
00:26:47,560 --> 00:26:51,360
Speaker 7: in America because you have platforms like WhatsApp, telegram, signal.

516
00:26:51,520 --> 00:26:55,120
Speaker 7: During the pandemic, I think Americans kind of actually really

517
00:26:55,160 --> 00:26:57,480
Speaker 7: embraced what is called dark socials. So this is like

518
00:26:57,520 --> 00:27:02,800
Speaker 7: email publishing, text messages, group chat, discord, and where I

519
00:27:02,840 --> 00:27:05,120
Speaker 7: have seen sort of the most interesting points made about

520
00:27:05,119 --> 00:27:08,159
Speaker 7: the Trump digital campaign is that he seemed to be

521
00:27:08,280 --> 00:27:12,439
Speaker 7: very focused on text messages, podcasting another dark social platform,

522
00:27:12,480 --> 00:27:14,920
Speaker 7: because you can't really see who's listening to your podcast, right.

523
00:27:15,040 --> 00:27:16,800
Speaker 7: He seemed to be tapping into that a lot more

524
00:27:16,880 --> 00:27:19,160
Speaker 7: than trying to go viral on TikTok or something, which

525
00:27:19,200 --> 00:27:21,640
Speaker 7: would be the sort of the twenty twenties version of Facebook,

526
00:27:21,640 --> 00:27:23,639
Speaker 7: the sort of mega platform everybody's on now, and it

527
00:27:23,680 --> 00:27:26,320
Speaker 7: seemed to work. So my theory is that like that

528
00:27:26,400 --> 00:27:28,679
Speaker 7: must be where people were sort of talking to each

529
00:27:28,720 --> 00:27:31,200
Speaker 7: other more honestly, Whereas I think ten years ago people

530
00:27:31,240 --> 00:27:33,520
Speaker 7: were being like in the comments on Facebook, fighting about

531
00:27:33,520 --> 00:27:37,000
Speaker 7: politics very well. I think that conversation has moved to

532
00:27:37,080 --> 00:27:38,520
Speaker 7: private spaces now, so.

533
00:27:38,440 --> 00:27:42,359
Speaker 1: Does that mean that there is a whole politics discourse

534
00:27:42,400 --> 00:27:43,520
Speaker 1: that we're not seeing.

535
00:27:43,840 --> 00:27:46,159
Speaker 7: It's possible. And I am on the fence about this,

536
00:27:46,240 --> 00:27:48,879
Speaker 7: like I do wonder, okay, if it's not happening there,

537
00:27:48,920 --> 00:27:50,960
Speaker 7: where is it happening? Like when I woke up the

538
00:27:50,960 --> 00:27:52,399
Speaker 7: morning after the election, I saw that he won the

539
00:27:52,400 --> 00:27:54,560
Speaker 7: plot their vote, My first thought was like, all right, well,

540
00:27:54,720 --> 00:27:57,760
Speaker 7: there's no arguing with this one, like you know, okay,

541
00:27:57,960 --> 00:28:00,439
Speaker 7: So then my next question is where did people this that?

542
00:28:00,600 --> 00:28:02,800
Speaker 7: Like where was that happening? And you know, it could

543
00:28:02,840 --> 00:28:04,800
Speaker 7: be that just people are out in bars and restaurants

544
00:28:04,840 --> 00:28:07,080
Speaker 7: and physical spaces, but I have to imagine there's a

545
00:28:07,080 --> 00:28:09,639
Speaker 7: digital trail there. And so my last guess is, like

546
00:28:09,840 --> 00:28:12,920
Speaker 7: that conversation is happening in private digital spaces.

547
00:28:13,040 --> 00:28:13,840
Speaker 2: It makes sense.

548
00:28:13,960 --> 00:28:20,000
Speaker 1: And in fact, I did go to campaign headquarters in Wilmington, Delaware,

549
00:28:20,440 --> 00:28:24,080
Speaker 1: which was, by the way, the most difficult assignment I've

550
00:28:24,119 --> 00:28:24,600
Speaker 1: ever done.

551
00:28:24,720 --> 00:28:25,960
Speaker 2: Like they didn't want to have me.

552
00:28:26,520 --> 00:28:30,280
Speaker 1: I was given like three minutes with each person, and

553
00:28:30,680 --> 00:28:34,720
Speaker 1: it was very like it was it felt very controlled.

554
00:28:34,520 --> 00:28:37,720
Speaker 7: For Trump or for Harris, for Harris, for Harris, Yeah.

555
00:28:37,640 --> 00:28:39,840
Speaker 1: Trump, I mean Trump campaign would not let me. Yeah,

556
00:28:41,200 --> 00:28:43,760
Speaker 1: it was like and the death threats were awesome. But

557
00:28:43,840 --> 00:28:47,480
Speaker 1: I went to the Harris campaign and one of the

558
00:28:47,560 --> 00:28:50,120
Speaker 1: things that people were talking to me about was this

559
00:28:50,240 --> 00:28:54,160
Speaker 1: idea that they were doing, like what app ads in

560
00:28:54,280 --> 00:28:58,280
Speaker 1: different networks about climate change, Like they had figured out

561
00:28:58,320 --> 00:29:01,960
Speaker 1: that there was a garden that gardening WhatsApp chat would

562
00:29:01,960 --> 00:29:04,240
Speaker 1: be a good place to talk about climate change.

563
00:29:04,320 --> 00:29:08,600
Speaker 7: That's so such a Democrat idea. I love it. Plants, Yeah,

564
00:29:08,920 --> 00:29:11,680
Speaker 7: they like plants, right, they must want plants to live.

565
00:29:12,360 --> 00:29:15,400
Speaker 1: Well, the problem is, you know, it's like the Democrats,

566
00:29:15,480 --> 00:29:19,640
Speaker 1: they're the good guys, but unfortunately the good guys. I mean,

567
00:29:19,680 --> 00:29:22,200
Speaker 1: that's the thing about like just to get to superhero

568
00:29:22,240 --> 00:29:25,320
Speaker 1: movies for a minute, Like I know, in superhero movies,

569
00:29:25,320 --> 00:29:28,440
Speaker 1: the good guys win, but I see in American politics

570
00:29:28,480 --> 00:29:30,600
Speaker 1: that does not always happen or ever.

571
00:29:31,280 --> 00:29:33,840
Speaker 7: Yeah, it does feel like ever for sure lately. I

572
00:29:33,840 --> 00:29:37,200
Speaker 7: mean the massive sort of slide to Trump this time around.

573
00:29:37,480 --> 00:29:40,520
Speaker 7: I think another interesting thing here is sort of I

574
00:29:40,520 --> 00:29:43,920
Speaker 7: think the millennial misunderstanding about gen Z's politics. We sort

575
00:29:43,920 --> 00:29:46,440
Speaker 7: of like welcome them like the saviors of the human race,

576
00:29:46,440 --> 00:29:49,080
Speaker 7: and it turns out they're all like addicted to gambling

577
00:29:49,280 --> 00:29:52,240
Speaker 7: and like don't like women. And comple outside.

578
00:29:52,560 --> 00:29:54,240
Speaker 2: They want flavored vapes.

579
00:29:54,320 --> 00:29:58,479
Speaker 7: They love vaping. They love vaping. Once we got rid

580
00:29:58,520 --> 00:30:00,520
Speaker 7: of the flavored jewels, they're like, I'm voting for Trump.

581
00:30:00,560 --> 00:30:02,320
Speaker 7: This is too much government regulation for me.

582
00:30:02,600 --> 00:30:06,000
Speaker 2: It's right, flavored jewels. I mean that really?

583
00:30:06,440 --> 00:30:09,600
Speaker 1: So gen Z, how old are they and why are

584
00:30:09,640 --> 00:30:11,040
Speaker 1: they ruining our lives?

585
00:30:11,360 --> 00:30:13,160
Speaker 7: I think the cutoff right now is what like twenty

586
00:30:13,160 --> 00:30:15,080
Speaker 7: six or twenty seven something like that, and.

587
00:30:15,080 --> 00:30:16,120
Speaker 2: They're all Trumpers.

588
00:30:16,360 --> 00:30:18,280
Speaker 7: They do seem to be a little more conservative, and

589
00:30:18,320 --> 00:30:21,200
Speaker 7: I've heard a bunch of different explanations for why, Like

590
00:30:21,400 --> 00:30:23,800
Speaker 7: was it too much zoom school during the pandemic? Was

591
00:30:23,840 --> 00:30:27,560
Speaker 7: it online dating destroying like, you know, physical interactions. I

592
00:30:27,600 --> 00:30:30,920
Speaker 7: don't really know. I do think we tend to assume

593
00:30:31,000 --> 00:30:32,880
Speaker 7: that they're the ones making all of the gen Z

594
00:30:33,000 --> 00:30:35,920
Speaker 7: content we're seeing online, when actually it's like millennials, and

595
00:30:35,960 --> 00:30:38,080
Speaker 7: I think that they're I call them the lurker generation.

596
00:30:38,240 --> 00:30:39,720
Speaker 2: I think the millennial I.

597
00:30:39,680 --> 00:30:41,240
Speaker 7: Am I'm a dead center in the middle.

598
00:30:41,320 --> 00:30:42,640
Speaker 2: Yeah what am I?

599
00:30:42,800 --> 00:30:45,560
Speaker 3: You and R R Zennils were on the cusp of

600
00:30:45,640 --> 00:30:46,720
Speaker 3: millennial and gen X.

601
00:30:46,880 --> 00:30:47,760
Speaker 7: That's a good place to be.

602
00:30:48,120 --> 00:30:48,760
Speaker 2: No, it's not.

603
00:30:49,000 --> 00:30:51,280
Speaker 7: That's good. You still remember when TV was good. Yeah,

604
00:30:51,680 --> 00:30:56,360
Speaker 7: that's true. I call gen Z the lurker generation. I

605
00:30:56,360 --> 00:30:58,840
Speaker 7: think they consume a lot of Internet content, but they

606
00:30:58,840 --> 00:31:02,200
Speaker 7: don't particularly make it. And I think if you imagine,

607
00:31:02,280 --> 00:31:04,760
Speaker 7: let's say you are twenty six right now, so you

608
00:31:04,800 --> 00:31:08,040
Speaker 7: are sixteen when Trump became president, that means the most

609
00:31:08,080 --> 00:31:11,080
Speaker 7: formative years of your sort of media diet have been

610
00:31:11,120 --> 00:31:13,880
Speaker 7: shaped by a post Trump world. And so when I

611
00:31:13,920 --> 00:31:16,000
Speaker 7: think of like a gen Z kid growing up in

612
00:31:16,240 --> 00:31:19,719
Speaker 7: you know, a red pilled manosphere centric Internet, it's not

613
00:31:19,800 --> 00:31:23,000
Speaker 7: super surprising to me that they might have conservative views

614
00:31:23,040 --> 00:31:26,080
Speaker 7: of the world because they just they've never seen a

615
00:31:26,120 --> 00:31:28,760
Speaker 7: different version of the Internet, right, all right.

616
00:31:28,720 --> 00:31:31,280
Speaker 1: They've never seen a different version of the Internet. Where

617
00:31:31,320 --> 00:31:33,920
Speaker 1: are they seeing this version of the internet.

618
00:31:33,760 --> 00:31:36,720
Speaker 7: Based on what I've seen, what I've read about Now, you're.

619
00:31:36,520 --> 00:31:39,840
Speaker 1: An expert, listen, right, you're an expert here. You're allowed

620
00:31:39,840 --> 00:31:41,360
Speaker 1: to be an expert. Just go for it.

621
00:31:41,480 --> 00:31:43,760
Speaker 7: No, but I always try to sort of make sure

622
00:31:43,920 --> 00:31:46,440
Speaker 7: I'm up to date here, TikTok, Instagram, and Snapchat if

623
00:31:46,440 --> 00:31:48,440
Speaker 7: you're a little younger or still in school. So that

624
00:31:48,480 --> 00:31:49,600
Speaker 7: seems to be the major three.

625
00:31:49,680 --> 00:31:51,720
Speaker 1: I just want to like do two seconds on TikTok.

626
00:31:51,800 --> 00:31:53,560
Speaker 1: TikTok is owned by the Chinese government.

627
00:31:53,960 --> 00:31:55,720
Speaker 7: I mean it's only by dance, which is clearly you know,

628
00:31:55,840 --> 00:31:56,960
Speaker 7: under the thumb on the Chines.

629
00:31:56,760 --> 00:32:01,840
Speaker 1: Because yeah, and the album rhythm that the Americans get

630
00:32:02,080 --> 00:32:07,000
Speaker 1: are like bannarexi and hate women. And the algorithms that

631
00:32:07,120 --> 00:32:10,320
Speaker 1: the Chinese get our do school and be a hard work.

632
00:32:10,960 --> 00:32:13,000
Speaker 7: Yeah, I will say, Okay, so you're you're probably talking

633
00:32:13,000 --> 00:32:15,200
Speaker 7: about Duian, which is sort of it's sort of like TikTok,

634
00:32:15,560 --> 00:32:17,160
Speaker 7: but it's not. It's a I call it like a

635
00:32:17,200 --> 00:32:18,960
Speaker 7: sister app or a cousin app. It's it is a

636
00:32:18,960 --> 00:32:19,560
Speaker 7: different app.

637
00:32:19,680 --> 00:32:21,080
Speaker 2: Can we get that app here?

638
00:32:21,480 --> 00:32:23,880
Speaker 7: I've used it. It's I mean, I watched a Chinese

639
00:32:23,880 --> 00:32:27,280
Speaker 7: farmer cook. He deep fried a whole ostrich leg on

640
00:32:27,400 --> 00:32:32,160
Speaker 7: Duian and it was so fascinating. It was massive. I

641
00:32:32,160 --> 00:32:33,800
Speaker 7: think the Chinese algorithm is probably better.

642
00:32:33,880 --> 00:32:34,240
Speaker 3: Yeah.

643
00:32:34,480 --> 00:32:38,920
Speaker 2: Yeah, it was very big. It was a very big

644
00:32:39,680 --> 00:32:40,960
Speaker 2: Did they take the feathers off?

645
00:32:41,040 --> 00:32:42,520
Speaker 7: Yeah yeah, no, the whole thing. He prepared it like

646
00:32:42,520 --> 00:32:44,400
Speaker 7: a chicken wing, but it was a size of an ostrich.

647
00:32:44,520 --> 00:32:45,280
Speaker 7: It was amazing.

648
00:32:45,440 --> 00:32:46,040
Speaker 2: That's amazing.

649
00:32:46,120 --> 00:32:48,760
Speaker 7: Yeah. So I think the biggest misunderstanding what TikTok is

650
00:32:48,800 --> 00:32:51,400
Speaker 7: that Okay, you know how like Facebook, there would be

651
00:32:51,520 --> 00:32:53,400
Speaker 7: like a dog, for instance, that would go viral and

652
00:32:53,440 --> 00:32:55,520
Speaker 7: everyone on Facebook would see this dog or Gangham style.

653
00:32:55,560 --> 00:32:56,640
Speaker 7: We all knew Gangham style.

654
00:32:56,760 --> 00:32:58,640
Speaker 2: Oh I wish I didn't, but yes.

655
00:32:58,440 --> 00:33:01,040
Speaker 7: Yeah, TikTok doesn't work that way. So your TikTok and

656
00:33:01,120 --> 00:33:04,280
Speaker 7: my TikTok never to shell me. It is totally personalized.

657
00:33:04,280 --> 00:33:07,400
Speaker 7: So yeah, it might trigger for somebody eating disorder content.

658
00:33:07,440 --> 00:33:09,920
Speaker 7: For other people, it might be like slime videos where

659
00:33:09,920 --> 00:33:10,720
Speaker 7: you like make slime.

660
00:33:10,880 --> 00:33:13,840
Speaker 2: Oh, so the eating disorder is just special for may Okay.

661
00:33:13,600 --> 00:33:15,880
Speaker 7: I guess you might be getting the Osama bin laden letter,

662
00:33:15,960 --> 00:33:18,280
Speaker 7: but I might be getting isis propaganda? Like It's just

663
00:33:18,360 --> 00:33:19,520
Speaker 7: different for everybody.

664
00:33:21,400 --> 00:33:28,160
Speaker 1: So so one of the things that I'm struck by

665
00:33:28,240 --> 00:33:31,120
Speaker 1: is I think that the grown ups, and I'm thinking

666
00:33:31,120 --> 00:33:34,960
Speaker 1: of like like sort of the Joe Biden crew may

667
00:33:35,000 --> 00:33:38,120
Speaker 1: have underestimated the power of TikTok.

668
00:33:38,600 --> 00:33:41,960
Speaker 7: I have seen numerous like younger Internet users pointing out

669
00:33:41,960 --> 00:33:44,520
Speaker 7: the very clear irony of Kamala being like it's brat

670
00:33:44,560 --> 00:33:46,720
Speaker 7: summer on TikTok. Just don't pay attention to what Joe

671
00:33:46,720 --> 00:33:49,840
Speaker 7: Biden My literal president that I'm working for right now

672
00:33:49,880 --> 00:33:52,360
Speaker 7: wants to do to TikTok in six months, which is

673
00:33:52,400 --> 00:33:55,160
Speaker 7: ban it, right, So I do think they notice the

674
00:33:55,200 --> 00:33:56,520
Speaker 7: cognitive dissonance there. For sure.

675
00:33:56,800 --> 00:34:00,320
Speaker 1: It is supposed to be banned in December, right, but

676
00:34:01,000 --> 00:34:03,800
Speaker 1: like make it make sense because Trump is.

677
00:34:03,720 --> 00:34:04,480
Speaker 2: Not going to ban it.

678
00:34:04,680 --> 00:34:07,360
Speaker 7: No, Trump doesn't care. He doesn't care about TikTok at all.

679
00:34:07,440 --> 00:34:09,560
Speaker 2: He doesn't care, but he also benefits from it.

680
00:34:09,640 --> 00:34:11,480
Speaker 7: I think he benefits from doing the reverse of anything

681
00:34:11,520 --> 00:34:14,319
Speaker 7: Joe Biden wants to do right, especially early. So I

682
00:34:14,360 --> 00:34:17,000
Speaker 7: do think if Biden does go through with the band,

683
00:34:17,000 --> 00:34:19,960
Speaker 7: which last I read, I think the deadline for the

684
00:34:20,000 --> 00:34:21,960
Speaker 7: band so okay. The way I understand it works is

685
00:34:21,960 --> 00:34:25,640
Speaker 7: like Biden Dance has to divest TikTok by December, let's

686
00:34:25,640 --> 00:34:28,680
Speaker 7: say mid December, and if they don't buy that deadline

687
00:34:28,960 --> 00:34:32,400
Speaker 7: by January tenth, Biden bans it. So it could be

688
00:34:32,440 --> 00:34:35,680
Speaker 7: a situation where they missed the deadline and just sort

689
00:34:35,680 --> 00:34:37,120
Speaker 7: of try to keep it in the courts and then

690
00:34:37,200 --> 00:34:38,840
Speaker 7: Trump's like, yeah, we're good, Like you don't have the

691
00:34:39,360 --> 00:34:41,000
Speaker 7: you can stay. That's what I assume will have.

692
00:34:41,280 --> 00:34:43,680
Speaker 1: So this is one of my favorite things to complain

693
00:34:43,760 --> 00:34:46,879
Speaker 1: to members of Congress about they hate they really hate

694
00:34:46,920 --> 00:34:48,839
Speaker 1: me for doing this. One of the many things I

695
00:34:48,880 --> 00:34:51,400
Speaker 1: do that's very annoying is I get members of Congress

696
00:34:51,440 --> 00:34:53,600
Speaker 1: on the podcast and then I, because I am the

697
00:34:53,600 --> 00:34:57,200
Speaker 1: granddaughter of a communist, then spend all this time complaining

698
00:34:57,239 --> 00:35:00,640
Speaker 1: that they are unable to regulate technology, and then they

699
00:35:00,680 --> 00:35:01,960
Speaker 1: say things like well and.

700
00:35:02,800 --> 00:35:04,480
Speaker 2: Give some very unsatisfying answer.

701
00:35:04,560 --> 00:35:08,480
Speaker 1: Sure, now that period of American life is over, right,

702
00:35:08,600 --> 00:35:12,080
Speaker 1: because on January twenty first, Trump is going to come

703
00:35:12,080 --> 00:35:15,120
Speaker 1: in there and they are not going to regulate anything

704
00:35:15,200 --> 00:35:16,000
Speaker 1: ever again.

705
00:35:16,120 --> 00:35:18,600
Speaker 7: Yeah, yeah, it's all good. Well unless like some China

706
00:35:18,640 --> 00:35:20,640
Speaker 7: hawk gets in his year about like Hawaii or something.

707
00:35:20,640 --> 00:35:22,439
Speaker 7: But yeah, I don't think it's really going to happen

708
00:35:22,480 --> 00:35:24,080
Speaker 7: in a meaningful way for a long time. Yeah.

709
00:35:24,160 --> 00:35:24,640
Speaker 2: Yeah.

710
00:35:24,719 --> 00:35:27,720
Speaker 1: So, and we're going to have a boom of AI

711
00:35:28,560 --> 00:35:33,040
Speaker 1: which is going to replace all of us likely hopefully go.

712
00:35:33,120 --> 00:35:34,240
Speaker 7: A clippy for everybody.

713
00:35:34,360 --> 00:35:38,239
Speaker 1: Yeah, okay, explain what a clippy is.

714
00:35:38,360 --> 00:35:41,520
Speaker 7: It's a little paper clip and Microsoft word and now

715
00:35:41,520 --> 00:35:43,440
Speaker 7: we have like a very expensive version that destroys the

716
00:35:43,440 --> 00:35:45,680
Speaker 7: planet every time you make a generate pornography for you.

717
00:35:45,760 --> 00:35:48,000
Speaker 7: It's great, it's the future. We all want it, and.

718
00:35:47,920 --> 00:35:50,000
Speaker 2: It's what Elon Musk is going to put in all

719
00:35:50,000 --> 00:35:50,640
Speaker 2: our brains.

720
00:35:50,719 --> 00:35:54,279
Speaker 7: It's right, Yeah, the Department of Government Efficiency, which has

721
00:35:54,320 --> 00:35:56,000
Speaker 7: two bosses, very efficient.

722
00:35:56,440 --> 00:36:00,120
Speaker 1: Right, It's so efficient they needed two people to leave it.

723
00:36:00,400 --> 00:36:03,840
Speaker 1: And Marjorie Taylor Green in Congress because this that's great.

724
00:36:03,920 --> 00:36:06,320
Speaker 7: I love that. That's super fun for it's funny.

725
00:36:06,400 --> 00:36:09,840
Speaker 2: The movie version of it can never ever compete.

726
00:36:09,960 --> 00:36:12,239
Speaker 7: Go on, Sorry, I think the closest movie I've seen

727
00:36:12,239 --> 00:36:14,480
Speaker 7: to our current political situation is like Death of Stalin.

728
00:36:14,520 --> 00:36:16,080
Speaker 7: I think you've got to kind of like abstract it,

729
00:36:16,120 --> 00:36:18,160
Speaker 7: you know, so he you don't notice the similarities.

730
00:36:18,280 --> 00:36:21,240
Speaker 2: Thanksgiving is Death of Stallin exactly. Yeah.

731
00:36:21,400 --> 00:36:23,560
Speaker 7: No, But in terms of tech regulation under Trump, he

732
00:36:23,680 --> 00:36:26,719
Speaker 7: is interesting because, like he got fixated on Fortnite during

733
00:36:26,760 --> 00:36:29,160
Speaker 7: his first administration and he really wanted to ban Fortnite,

734
00:36:29,160 --> 00:36:31,120
Speaker 7: and I always heard the rumor that it was because

735
00:36:31,120 --> 00:36:33,080
Speaker 7: he caught Baron playing it too much, and I always

736
00:36:33,080 --> 00:36:34,920
Speaker 7: sort of liked that idea, like that's why he's an

737
00:36:35,040 --> 00:36:38,320
Speaker 7: anti Fortnite. I mean, he's a he's a demagogue, so

738
00:36:38,400 --> 00:36:41,400
Speaker 7: he'll he'll pick random stuff to just like get upset about.

739
00:36:41,719 --> 00:36:44,360
Speaker 7: So who knows, like he might just like discover technology

740
00:36:44,360 --> 00:36:45,600
Speaker 7: in the next four years, like we got to get

741
00:36:45,680 --> 00:36:47,719
Speaker 7: rid of it for like no reason. You know, that's

742
00:36:47,760 --> 00:36:49,560
Speaker 7: just life under a dictatorship.

743
00:36:51,480 --> 00:36:53,600
Speaker 2: We laugh to keep from crime exactly.

744
00:36:53,800 --> 00:36:56,399
Speaker 1: Okay, So I want you to this is a thing

745
00:36:56,480 --> 00:36:57,720
Speaker 1: I've been thinking about a lot.

746
00:36:58,080 --> 00:37:00,680
Speaker 2: And these people love technology, right.

747
00:37:00,719 --> 00:37:04,880
Speaker 1: Elon Musk made billions of dollars in government subsidies. Yeah,

748
00:37:05,040 --> 00:37:08,360
Speaker 1: ilady abound and also on technology.

749
00:37:08,560 --> 00:37:12,480
Speaker 2: But they hate science, right. Huh. Explain this to me.

750
00:37:12,719 --> 00:37:15,759
Speaker 7: Okay, so they like technology. The kind of crew you're

751
00:37:15,760 --> 00:37:18,920
Speaker 7: talking about, the Peter Tails that Ela Musks are bosses.

752
00:37:19,040 --> 00:37:21,680
Speaker 2: Yeah, that they see you are about to run the

753
00:37:21,680 --> 00:37:22,560
Speaker 2: federal government.

754
00:37:22,840 --> 00:37:25,560
Speaker 7: They are very obsessed with this idea that they sometimes

755
00:37:25,640 --> 00:37:28,440
Speaker 7: refer to as like the Dark Enlightenment or the network state.

756
00:37:28,560 --> 00:37:32,040
Speaker 7: It's it's essentially just like libertarianism run by computers. And

757
00:37:32,080 --> 00:37:35,880
Speaker 7: they believe that the CEO curtisey Arvin, Yeah, that kind

758
00:37:35,920 --> 00:37:38,160
Speaker 7: of stuff, right, Okay. I don't think Trump has any

759
00:37:38,200 --> 00:37:40,000
Speaker 7: idea what any of that means, because, like, I don't

760
00:37:40,000 --> 00:37:42,000
Speaker 7: think Trump is very online. If you told me Trump

761
00:37:42,040 --> 00:37:44,640
Speaker 7: can't read, like, I believe you, like I believe that

762
00:37:44,680 --> 00:37:47,000
Speaker 7: he's not. I saw a video where he's just he's

763
00:37:47,080 --> 00:37:49,200
Speaker 7: he's the one dictating his tweets to some woman who's

764
00:37:49,200 --> 00:37:51,400
Speaker 7: writing them down, so like it's possible he doesn't know

765
00:37:51,400 --> 00:37:54,400
Speaker 7: how to read. So I don't think he's like this

766
00:37:54,880 --> 00:37:57,560
Speaker 7: four chance Fengali guy. I think he's just like a guy.

767
00:37:57,760 --> 00:38:00,239
Speaker 7: He's a poster. Yeah, but the text of you know,

768
00:38:00,280 --> 00:38:02,760
Speaker 7: they have his ear and they basically just want to smash,

769
00:38:03,040 --> 00:38:05,400
Speaker 7: you know, any sort of federal regulations, any sort of

770
00:38:05,400 --> 00:38:08,120
Speaker 7: federal protections. And that's why they like technology and they

771
00:38:08,120 --> 00:38:11,480
Speaker 7: don't like science. I mean, they don't like regulations based

772
00:38:11,520 --> 00:38:13,719
Speaker 7: in science. So that's why they want you to drink

773
00:38:13,800 --> 00:38:15,719
Speaker 7: raw milk and do get bird flu because like they

774
00:38:15,760 --> 00:38:18,399
Speaker 7: don't want to have to deal with regulations. I think

775
00:38:18,400 --> 00:38:21,000
Speaker 7: it's just a tax thing basically, yep, money.

776
00:38:20,719 --> 00:38:22,480
Speaker 2: Thing, right, it's probably just a tax thing.

777
00:38:22,680 --> 00:38:22,879
Speaker 4: Though.

778
00:38:23,200 --> 00:38:25,960
Speaker 2: Raw milk is Have you had it?

779
00:38:26,000 --> 00:38:26,359
Speaker 7: Is it good?

780
00:38:26,719 --> 00:38:29,839
Speaker 2: No? I haven't had it milk. I just have skim milk.

781
00:38:31,040 --> 00:38:34,600
Speaker 7: I cannot have rough. I will die. I will fork

782
00:38:34,680 --> 00:38:35,040
Speaker 7: to death.

783
00:38:35,200 --> 00:38:36,040
Speaker 3: It's delicious.

784
00:38:36,920 --> 00:38:37,120
Speaker 7: Yeah.

785
00:38:37,280 --> 00:38:41,200
Speaker 2: One of my kids has is lactose and he is

786
00:38:41,320 --> 00:38:43,440
Speaker 2: so mad at me. He's like, you did this to.

787
00:38:43,520 --> 00:38:47,640
Speaker 1: Me When we talk about this lack of government regulation,

788
00:38:47,760 --> 00:38:50,960
Speaker 1: bird flu raw Milk, I want you to talk for

789
00:38:51,080 --> 00:38:56,920
Speaker 1: one second about the possibility that RFK Junior may have

790
00:38:57,160 --> 00:39:00,920
Speaker 1: actually delivered a lot of women voter to Trump, because

791
00:39:00,920 --> 00:39:02,920
Speaker 1: this is a new theory I'm working through.

792
00:39:03,400 --> 00:39:05,520
Speaker 7: I think you're dead on. I think the sort of

793
00:39:05,520 --> 00:39:10,160
Speaker 7: connection between the Woo Woo Yoga QAnon and RFK is

794
00:39:10,200 --> 00:39:12,799
Speaker 7: like a straight line through Facebook reels like it is

795
00:39:13,000 --> 00:39:16,520
Speaker 7: just like go on. I had this theory actually twenty

796
00:39:16,520 --> 00:39:18,760
Speaker 7: sixteen that like a lot of women voted for Trump

797
00:39:18,800 --> 00:39:20,799
Speaker 7: and then regretted it because they realized that a lot

798
00:39:20,800 --> 00:39:22,759
Speaker 7: of older women realized they had voted for their ex

799
00:39:22,840 --> 00:39:26,520
Speaker 7: husband essentially right, And I do believe a similar phenomenon

800
00:39:26,600 --> 00:39:28,960
Speaker 7: might be happening with RFK, where it's like this handsome

801
00:39:28,960 --> 00:39:31,440
Speaker 7: older man who like says crazy stuff, but like in

802
00:39:31,480 --> 00:39:34,239
Speaker 7: a fun kind of new agey way. I do think

803
00:39:34,280 --> 00:39:37,640
Speaker 7: that that's that's helpful for them. And I remember over

804
00:39:37,640 --> 00:39:39,640
Speaker 7: the summer ever, meaning like RFK might actually split the

805
00:39:39,719 --> 00:39:41,640
Speaker 7: vote for Trump. But I actually think they played it

806
00:39:41,719 --> 00:39:42,200
Speaker 7: pretty well.

807
00:39:42,239 --> 00:39:46,200
Speaker 1: Unfortunately, Yeah, they definitely played everything really well.

808
00:39:46,400 --> 00:39:47,560
Speaker 2: It's funny because it's like.

809
00:39:47,640 --> 00:39:52,360
Speaker 1: I wrote something critical of RFK on Vanity Fair, RFK junior,

810
00:39:52,440 --> 00:39:57,600
Speaker 1: and I was swarmed by like very attractive women.

811
00:39:58,200 --> 00:40:00,480
Speaker 2: Yeah, I was like, why do you guys ca hair?

812
00:40:01,000 --> 00:40:04,439
Speaker 1: And then it became clear to me once he won

813
00:40:04,880 --> 00:40:07,680
Speaker 1: that this man not only does he have a just

814
00:40:07,719 --> 00:40:12,680
Speaker 1: a horrific relationship with women on the macro or the micro,

815
00:40:12,880 --> 00:40:14,160
Speaker 1: he also has it on the macro.

816
00:40:14,640 --> 00:40:17,280
Speaker 7: But he's very handsome, you know. He jumps off cliffs

817
00:40:17,280 --> 00:40:20,520
Speaker 7: without a shirt on. And he says stuff that people

818
00:40:20,560 --> 00:40:22,759
Speaker 7: on Facebook say in real life, which I think is

819
00:40:22,840 --> 00:40:26,319
Speaker 7: very attractive for like certain people in America.

820
00:40:26,440 --> 00:40:29,319
Speaker 1: We're going to end on the he says things that

821
00:40:29,360 --> 00:40:33,399
Speaker 1: people say on Facebook in real life, right, yeah, which

822
00:40:33,440 --> 00:40:34,920
Speaker 1: is very attractive to America.

823
00:40:35,120 --> 00:40:36,319
Speaker 2: You're going to have to come back.

824
00:40:36,400 --> 00:40:37,000
Speaker 7: I would love to.

825
00:40:37,080 --> 00:40:37,279
Speaker 2: And he.

826
00:40:39,120 --> 00:40:44,480
Speaker 1: Now added to the sorry I did it, I made it.

827
00:40:45,719 --> 00:40:50,880
Speaker 2: No moment Jesse Cannon, Oh Molly.

828
00:40:51,320 --> 00:40:53,000
Speaker 3: You know how I know? It's about day. It's the

829
00:40:53,080 --> 00:40:55,160
Speaker 3: second time we're having to discuss Laura Ingram.

830
00:40:55,239 --> 00:40:59,919
Speaker 1: In one episode, Laura Ingram took aim a Republican micro.

831
00:41:00,719 --> 00:41:03,120
Speaker 2: You may remember Mike Rounds from nothing.

832
00:41:04,200 --> 00:41:07,080
Speaker 3: How can you talk about a Republican senator from South

833
00:41:07,160 --> 00:41:08,160
Speaker 3: Dakota as nothing?

834
00:41:08,320 --> 00:41:10,800
Speaker 2: Jesus nothing. You may remember him from nothing?

835
00:41:10,880 --> 00:41:15,799
Speaker 1: So this political article that Ingram shared reported on Rounds,

836
00:41:15,960 --> 00:41:20,200
Speaker 1: who is from South Dakota, but who Ingram is mad about,

837
00:41:20,520 --> 00:41:23,239
Speaker 1: and so she's made him from North Dakota, that he

838
00:41:23,320 --> 00:41:27,200
Speaker 1: was trying to reassure us ally as well. At the Congress.

839
00:41:27,280 --> 00:41:30,920
Speaker 1: Round said he spent the weekend working to reset the stage.

840
00:41:31,000 --> 00:41:33,640
Speaker 1: Let everybody know that everything is going to be okay,

841
00:41:33,680 --> 00:41:36,520
Speaker 1: and that we're moving forward and there is consistency within

842
00:41:36,600 --> 00:41:40,000
Speaker 1: the Senate. We believe there will be consistency within the House,

843
00:41:40,480 --> 00:41:45,200
Speaker 1: and we welcome back former President Trump. Look, Laura Ingram

844
00:41:45,640 --> 00:41:50,920
Speaker 1: wants a dictatorship on day one, maybe because who knows.

845
00:41:51,239 --> 00:41:54,360
Speaker 1: But checks and balances are good. And I'm not a

846
00:41:54,400 --> 00:41:55,800
Speaker 1: big fan of Mike Rounds.

847
00:41:55,800 --> 00:41:58,920
Speaker 2: Actually that's not true. He might be great. Nobody even knows,

848
00:41:59,000 --> 00:41:59,799
Speaker 2: has anyone ever met.

849
00:42:00,239 --> 00:42:02,680
Speaker 1: But I do think that Mike Grounds is doing the

850
00:42:02,719 --> 00:42:06,920
Speaker 1: right thing here, and he's trying to provide checks and balances.

851
00:42:07,120 --> 00:42:11,600
Speaker 1: That actually is the job of Senate right, advise and consent. Right,

852
00:42:11,680 --> 00:42:15,640
Speaker 1: they are supposed to be checking out these nominees.

853
00:42:16,160 --> 00:42:18,040
Speaker 2: That's what they're supposed to be doing.

854
00:42:18,120 --> 00:42:23,719
Speaker 1: So Lauringram is wrong yet again, and Mike Grounds is correct.

855
00:42:24,239 --> 00:42:27,440
Speaker 1: Trump is not a North Korean dictator. He has checks

856
00:42:27,440 --> 00:42:29,279
Speaker 1: and balances, just like everyone else.

857
00:42:30,400 --> 00:42:31,279
Speaker 2: That's it for.

858
00:42:31,320 --> 00:42:38,040
Speaker 1: This episode of Fast Politics. Tune in every Monday, Wednesday, Thursday,

859
00:42:38,200 --> 00:42:42,120
Speaker 1: and Saturday to hear the best minds and politics make

860
00:42:42,280 --> 00:42:46,239
Speaker 1: sense of all this chaos. If you enjoy this podcast,

861
00:42:46,640 --> 00:42:50,040
Speaker 1: please send it to a friend and keep the conversation going.

862
00:42:50,520 --> 00:42:51,640
Speaker 2: Thanks for listening.