1
00:00:00,760 --> 00:00:03,680
Speaker 1: Hey, guys, ready or not, twenty twenty four is here,

2
00:00:03,840 --> 00:00:06,320
Speaker 1: and we here at breaking points, are already thinking of

3
00:00:06,360 --> 00:00:08,560
Speaker 1: ways we can up our game for this critical election.

4
00:00:08,760 --> 00:00:11,719
Speaker 2: We rely on our premium subs to expand coverage, upgrade

5
00:00:11,720 --> 00:00:15,720
Speaker 2: the studio ad staff, give you, guys the best independent.

6
00:00:15,120 --> 00:00:16,239
Speaker 3: Coverage that is possible.

7
00:00:16,280 --> 00:00:18,279
Speaker 2: If you like what we're all about, it just means

8
00:00:18,320 --> 00:00:20,799
Speaker 2: the absolute world to have your support. But enough with that,

9
00:00:21,000 --> 00:00:22,360
Speaker 2: let's get to the show.

10
00:00:25,120 --> 00:00:27,720
Speaker 1: So, there are some very interesting things happening over on

11
00:00:27,840 --> 00:00:30,160
Speaker 1: Liberal TikTok that we wanted to update you guys on.

12
00:00:30,440 --> 00:00:32,640
Speaker 1: First of all, I'm not really on TikTok, so I

13
00:00:32,680 --> 00:00:33,600
Speaker 1: was not aware of any.

14
00:00:33,440 --> 00:00:34,159
Speaker 4: Of these phenomena.

15
00:00:34,240 --> 00:00:36,520
Speaker 1: But apparently they are a bunch of astrologers on TikTok

16
00:00:36,560 --> 00:00:40,519
Speaker 1: who are very popular, who are very confidently predicting that

17
00:00:40,600 --> 00:00:44,560
Speaker 1: Kamala Harris, because of where her sign was in alignment

18
00:00:44,640 --> 00:00:48,040
Speaker 1: with whatever who was going to win the presidential election.

19
00:00:48,640 --> 00:00:51,400
Speaker 1: And they're having to grapple with that, and people who

20
00:00:51,400 --> 00:00:53,440
Speaker 1: believe them are also having to grapple with that. And

21
00:00:53,440 --> 00:00:56,880
Speaker 1: apparently a number of these TikTok astrologers are asserting that

22
00:00:57,040 --> 00:00:59,720
Speaker 1: actually they were right and the election is not really,

23
00:01:00,200 --> 00:01:05,440
Speaker 1: it cannot possibly really be over because it's simply unimaginable

24
00:01:05,520 --> 00:01:07,520
Speaker 1: that they read the stars incorrectly.

25
00:01:07,800 --> 00:01:09,319
Speaker 4: Let's take a listen to a little bit of that.

26
00:01:09,760 --> 00:01:13,160
Speaker 3: I'm sad about the election too. What I'm especially said

27
00:01:13,160 --> 00:01:15,120
Speaker 3: about is the fact that I can no longer trust

28
00:01:15,200 --> 00:01:17,320
Speaker 3: a single TikTok astrologer on this app.

29
00:01:18,319 --> 00:01:19,080
Speaker 5: So thanks.

30
00:01:19,920 --> 00:01:22,600
Speaker 6: I don't mean to sound like a conspiracy theorist, but

31
00:01:22,680 --> 00:01:26,280
Speaker 6: something feels off about this election. How did we raise

32
00:01:26,319 --> 00:01:29,920
Speaker 6: over a billion dollars in just four months packed rallies

33
00:01:30,560 --> 00:01:34,360
Speaker 6: and they won by a landslide in just a matter

34
00:01:34,440 --> 00:01:39,640
Speaker 6: of hours. Also, why is he not on Twitter boasting

35
00:01:39,920 --> 00:01:45,200
Speaker 6: and bragging about himself When she had her concession speech,

36
00:01:45,680 --> 00:01:48,720
Speaker 6: it felt like we weren't done yet. We still have

37
00:01:48,800 --> 00:01:52,559
Speaker 6: some fight, but we're going to fight silently her walk off,

38
00:01:52,640 --> 00:01:53,720
Speaker 6: I know that walk off.

39
00:01:54,560 --> 00:01:58,920
Speaker 7: Hm. The fact that almost every which every astrologer, very medium,

40
00:01:59,080 --> 00:02:02,120
Speaker 7: every I kick on this app is sort of coming

41
00:02:02,160 --> 00:02:06,000
Speaker 7: together right now because of this presidential election is incredibcause

42
00:02:06,040 --> 00:02:08,520
Speaker 7: by now we all know that almost everyone who's intuitively

43
00:02:08,520 --> 00:02:11,760
Speaker 7: connected in any way woke up between two and four

44
00:02:11,840 --> 00:02:16,440
Speaker 7: am morning after the election, and y'all knew something was up.

45
00:02:16,560 --> 00:02:18,840
Speaker 7: But at the same time, we all felt a sort

46
00:02:18,840 --> 00:02:20,880
Speaker 7: of peace and calmness within.

47
00:02:21,520 --> 00:02:25,160
Speaker 8: Here's the thing, the astrology grillies have not let us

48
00:02:25,200 --> 00:02:31,359
Speaker 8: down all year. So while y'all accept these results, while

49
00:02:31,440 --> 00:02:35,560
Speaker 8: y'all accept what's on this screen right here, I will

50
00:02:35,560 --> 00:02:38,600
Speaker 8: not be counting my chickens before they hatch.

51
00:02:39,200 --> 00:02:41,800
Speaker 4: So that's happening.

52
00:02:42,040 --> 00:02:44,399
Speaker 1: I didn't realize, you know, I feel like had more

53
00:02:44,440 --> 00:02:46,760
Speaker 1: connectivity to this, like astrology trend on technic.

54
00:02:46,880 --> 00:02:49,200
Speaker 4: No, it's more aware of it.

55
00:02:49,320 --> 00:02:51,320
Speaker 2: I mean, I'm a was aware that it was happening.

56
00:02:51,400 --> 00:02:54,080
Speaker 2: That doesn't mean I was like watching it. Yeah, there's

57
00:02:54,080 --> 00:02:56,560
Speaker 2: a lot of libs. Stop the steal that is currently happening.

58
00:02:56,600 --> 00:02:59,160
Speaker 2: Astrology is a big part of it. Another part of

59
00:02:59,160 --> 00:03:02,160
Speaker 2: it is this clip that's going viral from Joe Rogan.

60
00:03:02,360 --> 00:03:04,600
Speaker 1: Oh well, no before we get to that, because the

61
00:03:04,639 --> 00:03:06,960
Speaker 1: Joe Rogan ties into the next clip. But we have

62
00:03:07,000 --> 00:03:11,520
Speaker 1: another This is the big libstock, the Steel conspiracy, which

63
00:03:11,600 --> 00:03:14,800
Speaker 1: is this one woman who said she works in tech

64
00:03:15,280 --> 00:03:18,800
Speaker 1: and her dad called her and she lays out in

65
00:03:18,840 --> 00:03:22,400
Speaker 1: a nine minute video that went super viral why she

66
00:03:22,560 --> 00:03:28,240
Speaker 1: believes that Elon used starlink to change the results in

67
00:03:28,360 --> 00:03:29,200
Speaker 1: key states.

68
00:03:29,400 --> 00:03:31,320
Speaker 4: Now I'm gonna be honest with you. I listened to this.

69
00:03:31,360 --> 00:03:34,480
Speaker 1: Video and I really did not understand the argument he

70
00:03:34,639 --> 00:03:38,080
Speaker 1: was making at all. But let's take a listen to

71
00:03:38,760 --> 00:03:40,840
Speaker 1: a little bit of that nine minute video so you

72
00:03:40,840 --> 00:03:41,640
Speaker 1: can get a sense of it.

73
00:03:41,880 --> 00:03:45,880
Speaker 9: With that being said, he sent me a video letting

74
00:03:45,920 --> 00:03:50,800
Speaker 9: me know that California and other swing states were able

75
00:03:50,880 --> 00:03:54,160
Speaker 9: to use starlink in order to tell you up and

76
00:03:54,240 --> 00:03:59,440
Speaker 9: to count ballot boats or on voting ballots in their state. Okay,

77
00:04:00,080 --> 00:04:06,040
Speaker 9: those systems were connected to the internet. Those machines have

78
00:04:06,240 --> 00:04:10,360
Speaker 9: absolutely no problem tallying up votes like they have done

79
00:04:10,400 --> 00:04:12,000
Speaker 9: since the beginning of time.

80
00:04:12,480 --> 00:04:14,400
Speaker 1: There's a lot more there that she goes into that

81
00:04:14,480 --> 00:04:17,800
Speaker 1: you guys can listen to and assess for yourself. But

82
00:04:18,000 --> 00:04:20,440
Speaker 1: part of what this ties into is this Joe Rogan clip.

83
00:04:20,480 --> 00:04:23,960
Speaker 1: That's right, because if your theory is Elon was actually

84
00:04:24,080 --> 00:04:28,120
Speaker 1: using starlink to control the election results, then you hear

85
00:04:28,160 --> 00:04:31,320
Speaker 1: this Joe Rogan clip and it really makes sense to you.

86
00:04:31,400 --> 00:04:32,000
Speaker 4: Take a listen.

87
00:04:32,240 --> 00:04:34,039
Speaker 10: It was interesting because at the beginning of the night,

88
00:04:34,160 --> 00:04:35,960
Speaker 10: no one knew what was going to happen. So you're

89
00:04:36,000 --> 00:04:38,640
Speaker 10: watching the first results roll in and there's like this

90
00:04:38,720 --> 00:04:41,640
Speaker 10: weird thing. And then Trump gets way ahead, but you're like,

91
00:04:41,680 --> 00:04:44,320
Speaker 10: you don't want to like get too hopeful, Like how

92
00:04:44,320 --> 00:04:44,760
Speaker 10: far ahead?

93
00:04:45,200 --> 00:04:46,320
Speaker 5: I head by one hundred points?

94
00:04:46,320 --> 00:04:47,159
Speaker 10: It seems like a lot.

95
00:04:47,760 --> 00:04:49,440
Speaker 5: Yeah, and you're like, what is it? And some channels

96
00:04:49,480 --> 00:04:51,880
Speaker 5: are like and then every channel is kind of different.

97
00:04:52,000 --> 00:04:54,679
Speaker 10: Yeah, they had different numbers. I was getting a different

98
00:04:54,760 --> 00:04:57,560
Speaker 10: number off Apple News Update than I was getting off

99
00:04:57,560 --> 00:05:01,040
Speaker 10: of CNN. And then I was texting people like Tulci

100
00:05:01,160 --> 00:05:05,440
Speaker 10: and jd Vance, I was getting a different Apparently Elon

101
00:05:05,560 --> 00:05:10,839
Speaker 10: created an app and he knew who won four hours

102
00:05:10,920 --> 00:05:14,520
Speaker 10: before the results. So as the results were coming in

103
00:05:14,640 --> 00:05:17,360
Speaker 10: before four hours before they called it, Dana White told

104
00:05:17,400 --> 00:05:19,359
Speaker 10: me Elon was like, I'm leaving it's ova.

105
00:05:19,600 --> 00:05:20,160
Speaker 5: Donald won.

106
00:05:20,480 --> 00:05:25,360
Speaker 11: He just fucking He just fucking somehow or another. I

107
00:05:26,720 --> 00:05:29,480
Speaker 11: don't know what he's getting where he's pulling his data from.

108
00:05:29,480 --> 00:05:33,600
Speaker 11: But he had like the most accurate data in terms

109
00:05:33,640 --> 00:05:37,080
Speaker 11: of the rural states. Hadn't put the results in yet,

110
00:05:37,240 --> 00:05:40,000
Speaker 11: but yet Trump was ahead in these states. Combos never

111
00:05:40,040 --> 00:05:43,640
Speaker 11: gonna win those states. So tabulated that and put it

112
00:05:43,680 --> 00:05:44,159
Speaker 11: all together.

113
00:05:44,360 --> 00:05:46,400
Speaker 10: I don't know how he did it, but Dana to

114
00:05:46,520 --> 00:05:48,320
Speaker 10: I don't even I don't even talk to Elon about this.

115
00:05:48,360 --> 00:05:51,360
Speaker 10: I don't know like the data translation, but Dana said

116
00:05:51,360 --> 00:05:53,800
Speaker 10: he had an app and he was like showing them.

117
00:05:54,000 --> 00:05:54,760
Speaker 10: He's like it's OVA.

118
00:05:55,440 --> 00:05:56,320
Speaker 3: He's like it left.

119
00:05:56,520 --> 00:05:58,640
Speaker 5: Dude, just left it. John Jones won.

120
00:06:00,080 --> 00:06:00,279
Speaker 11: That.

121
00:06:00,440 --> 00:06:01,479
Speaker 10: He just fucking left.

122
00:06:01,839 --> 00:06:04,720
Speaker 3: Uh so there you go, just calling me. Here's the thing.

123
00:06:04,839 --> 00:06:07,719
Speaker 2: Four hours before so the AP called it at I

124
00:06:07,760 --> 00:06:09,400
Speaker 2: want to say, what three four am?

125
00:06:09,680 --> 00:06:10,200
Speaker 4: Something like that?

126
00:06:10,240 --> 00:06:12,680
Speaker 2: Okay, well I was by midnight. If you're watching Breaking

127
00:06:12,680 --> 00:06:14,200
Speaker 2: Points where we tell you Trump won.

128
00:06:14,040 --> 00:06:15,240
Speaker 4: The elections, yeah, we were.

129
00:06:16,200 --> 00:06:19,480
Speaker 3: We're going ahead, It's gonna win.

130
00:06:19,360 --> 00:06:21,640
Speaker 1: And we'll come back tomorrow and tell you, like the only.

131
00:06:21,480 --> 00:06:23,840
Speaker 2: Question was whether he would, like by what margin he

132
00:06:23,880 --> 00:06:25,000
Speaker 2: would win the popular vote.

133
00:06:25,000 --> 00:06:27,200
Speaker 3: That was literally the only question at midnight.

134
00:06:26,920 --> 00:06:29,679
Speaker 4: And which and there were certain like sentence seats and stuff.

135
00:06:29,720 --> 00:06:30,360
Speaker 3: Yeah, that was all.

136
00:06:30,640 --> 00:06:33,320
Speaker 2: But obviously that took a while to call. But you know,

137
00:06:33,680 --> 00:06:36,279
Speaker 2: by what what time would you say? I was like,

138
00:06:36,279 --> 00:06:39,120
Speaker 2: Trump's gonna win ten o'clock. Honestly, that's conservative. I would

139
00:06:39,120 --> 00:06:39,280
Speaker 2: take that.

140
00:06:39,360 --> 00:06:42,520
Speaker 1: I mean, we really tried to to even as it

141
00:06:42,560 --> 00:06:45,400
Speaker 1: became pretty clear the direction that we really tried to be.

142
00:06:45,360 --> 00:06:47,400
Speaker 3: Like, okay, but you know, maybe you have to do that.

143
00:06:47,520 --> 00:06:49,360
Speaker 1: Yeah, you have to be like, yeah, you never know,

144
00:06:49,680 --> 00:06:51,760
Speaker 1: you know, it would be something crazy could have in

145
00:06:51,760 --> 00:06:57,360
Speaker 1: in Pennsylvania. But probably by by ten o'clock for sure, I.

146
00:06:57,400 --> 00:07:00,560
Speaker 3: Was like, I have and don Trump pretty much over.

147
00:07:00,680 --> 00:07:03,000
Speaker 2: It's game over, yeah, especially because by that time Pa

148
00:07:03,160 --> 00:07:05,360
Speaker 2: had come in so hard for Trump. And I was like,

149
00:07:05,760 --> 00:07:08,280
Speaker 2: and Georgia too, remember, because everyone was like, oh, well

150
00:07:08,320 --> 00:07:11,160
Speaker 2: Georgia or still waiting on. But these initial numbers look

151
00:07:11,240 --> 00:07:13,560
Speaker 2: really good. So Georgia was the first indication. Then North

152
00:07:13,600 --> 00:07:16,680
Speaker 2: Carolina was number two. Because North Carolina, it was like, okay,

153
00:07:16,720 --> 00:07:19,880
Speaker 2: well the case for the Kamala landslide was Georgia, North Carolina.

154
00:07:20,160 --> 00:07:21,960
Speaker 3: None of those panning out. Yeah, And then by ten

155
00:07:21,960 --> 00:07:24,480
Speaker 3: o'clock you're like PA's coming in art and that's it.

156
00:07:24,480 --> 00:07:25,440
Speaker 3: It's game time. Yeah.

157
00:07:25,440 --> 00:07:27,920
Speaker 1: Once once it was like, okay, Georgia, North Carolina are

158
00:07:27,960 --> 00:07:30,200
Speaker 1: like this probably is going to Trump, but you know,

159
00:07:30,280 --> 00:07:32,760
Speaker 1: maybe there's something different going on in the industrial Midwest.

160
00:07:32,960 --> 00:07:35,320
Speaker 1: Then once you see Pennsylvania coming in, it's like, all right,

161
00:07:35,440 --> 00:07:38,960
Speaker 1: this is not happening exact, you know. On the other hand,

162
00:07:39,040 --> 00:07:40,680
Speaker 1: can I blame these TikTok girlies?

163
00:07:40,760 --> 00:07:41,200
Speaker 4: Not really?

164
00:07:41,280 --> 00:07:43,800
Speaker 1: I mean, listen, what did they watch they've watched. Still,

165
00:07:43,880 --> 00:07:46,720
Speaker 1: the Republican base still and Donald Trump thinks that he

166
00:07:47,000 --> 00:07:50,400
Speaker 1: won the last election and offered evidence equivalent to like

167
00:07:50,520 --> 00:07:53,680
Speaker 1: my astrologer said, so, and here's a clip of Joe

168
00:07:53,720 --> 00:07:55,000
Speaker 1: Rogan saying something that.

169
00:07:54,920 --> 00:07:56,000
Speaker 4: I find to be nefarious.

170
00:07:56,480 --> 00:08:01,240
Speaker 1: So you know whatever, Libs have their conspiracies too, and

171
00:08:01,640 --> 00:08:04,880
Speaker 1: so at some point you know there will be because

172
00:08:04,920 --> 00:08:08,840
Speaker 1: I think if you did have some Democratic politician who

173
00:08:08,920 --> 00:08:12,520
Speaker 1: is actually willing to indulge this stuff, I think they'd

174
00:08:12,520 --> 00:08:16,560
Speaker 1: be hugely popular. I think there's a wide open lane.

175
00:08:16,560 --> 00:08:19,520
Speaker 1: I'm not encouraging this. I'm just saying that it's inevitable

176
00:08:19,520 --> 00:08:21,520
Speaker 1: that someone is going to take up that market opportunity,

177
00:08:21,680 --> 00:08:25,280
Speaker 1: not maybe this time cycle, because they're still very invested

178
00:08:25,320 --> 00:08:27,280
Speaker 1: in the like we're the ones that take election results

179
00:08:27,320 --> 00:08:31,440
Speaker 1: seriously whatever. But Trump opened Pandora box, Pandora's box to

180
00:08:31,520 --> 00:08:34,839
Speaker 1: basically every election, whichever side loses, people are going to

181
00:08:34,880 --> 00:08:38,400
Speaker 1: come up with because in every election there's always weird irregularities,

182
00:08:38,440 --> 00:08:40,040
Speaker 1: things you can point to and say, well, this doesn't

183
00:08:40,080 --> 00:08:42,200
Speaker 1: seem quite right, and what about these vote totals and

184
00:08:42,240 --> 00:08:44,160
Speaker 1: that doesn't make sense with last time's election. That's the

185
00:08:44,200 --> 00:08:47,600
Speaker 1: other big conspiracy is like that Kamala got some number

186
00:08:47,880 --> 00:08:50,480
Speaker 1: fewer votes than Joe Biden, but even that turned out

187
00:08:50,520 --> 00:08:52,200
Speaker 1: to not really be because a lot of it was

188
00:08:52,240 --> 00:08:54,280
Speaker 1: just California hadn't counted their ballots yet.

189
00:08:54,360 --> 00:08:56,560
Speaker 4: Yeah, it was a big part of that is anyway.

190
00:08:56,320 --> 00:08:56,920
Speaker 3: So there's a lot.

191
00:08:57,000 --> 00:09:00,160
Speaker 1: This is my point, my only point. I think this

192
00:09:00,200 --> 00:09:02,040
Speaker 1: is the new world that we live in. And while

193
00:09:02,080 --> 00:09:04,120
Speaker 1: it mostly is on the Republican side at this point,

194
00:09:04,160 --> 00:09:07,040
Speaker 1: like it's more prominent and as a percentage of the base,

195
00:09:07,440 --> 00:09:10,120
Speaker 1: I think that we're going to see an expansion and

196
00:09:10,160 --> 00:09:14,959
Speaker 1: flourishing of the liberal conspiracy as well, especially as liberals

197
00:09:14,960 --> 00:09:17,880
Speaker 1: now are also becoming disenchanted. This is a good segway

198
00:09:17,920 --> 00:09:22,760
Speaker 1: to our next segment, disenchanted with mainstream media establishment, you know,

199
00:09:22,800 --> 00:09:26,000
Speaker 1: institutions as well. You're much more likely to have a

200
00:09:26,040 --> 00:09:28,640
Speaker 1: flourishing and embrace of these types of conspiracy on the

201
00:09:28,640 --> 00:09:29,280
Speaker 1: liberal side too.

202
00:09:29,400 --> 00:09:32,360
Speaker 2: Yeah, No, definitely, And I mean, look, it's also been

203
00:09:32,400 --> 00:09:34,280
Speaker 2: there for a while. There was Russia Gate, that was

204
00:09:34,280 --> 00:09:37,040
Speaker 2: the elite one. That's what they did last time. There

205
00:09:37,320 --> 00:09:41,560
Speaker 2: was also in four there was a huge like libs

206
00:09:42,040 --> 00:09:45,000
Speaker 2: steel well objection. I'm not saying there was nothing to it,

207
00:09:45,000 --> 00:09:47,200
Speaker 2: but I'm just saying R Junior about that.

208
00:09:47,400 --> 00:09:48,280
Speaker 3: Yeah, you can ask me.

209
00:09:49,640 --> 00:09:53,120
Speaker 2: On Ohio and the voting machines and the Chinese. There's

210
00:09:53,120 --> 00:09:56,640
Speaker 2: a whole two thousand and four HBO documentary about it

211
00:09:56,640 --> 00:09:59,559
Speaker 2: if you're interested in going to watch. So anyway, it's

212
00:09:59,600 --> 00:10:02,280
Speaker 2: been there, it will continue to be there. And yeah,

213
00:10:02,360 --> 00:10:04,319
Speaker 2: I'm sure that some politician will take it up, and

214
00:10:04,400 --> 00:10:05,280
Speaker 2: they will be I.

215
00:10:05,679 --> 00:10:09,200
Speaker 1: Think the difference is it's like really gone mainstream. Oh yeah,

216
00:10:09,440 --> 00:10:11,880
Speaker 1: and on the right it's fully made. Obviously Trump still

217
00:10:11,880 --> 00:10:15,559
Speaker 1: hasn't concated the last election. On the Democratic side, I

218
00:10:15,600 --> 00:10:18,480
Speaker 1: think it also will be beautiful and more mainstream.

219
00:10:18,559 --> 00:10:20,199
Speaker 2: I mean, look, it's like Keith Olberman, you need to

220
00:10:20,640 --> 00:10:23,640
Speaker 2: release Valve and it will happen. The only question is

221
00:10:23,679 --> 00:10:28,240
Speaker 2: when and which character will emerge in this. So, like

222
00:10:28,280 --> 00:10:31,839
Speaker 2: you said, we've got media conversation, let's get to that.

223
00:10:34,520 --> 00:10:38,360
Speaker 1: So we got a few interesting media shakeout post election

224
00:10:38,640 --> 00:10:40,840
Speaker 1: updates for you. Let's put this up on the screen.

225
00:10:41,000 --> 00:10:45,160
Speaker 1: So apparently MSNBC, which should very well on election night,

226
00:10:45,200 --> 00:10:47,800
Speaker 1: and the clips CNN for the first time ever, now

227
00:10:47,840 --> 00:10:50,000
Speaker 1: they have lost half of their viewers compared to this

228
00:10:50,080 --> 00:10:52,600
Speaker 1: time last year, she had fifty four percent other viewers.

229
00:10:52,640 --> 00:10:57,040
Speaker 1: I believe CNN also completely plummeted after election day. And

230
00:10:57,440 --> 00:10:59,960
Speaker 1: you know it's not just this, So you know, part

231
00:11:00,200 --> 00:11:02,520
Speaker 1: this is just like liberal depression post Trump.

232
00:11:02,240 --> 00:11:03,800
Speaker 4: Getting reelected, Kamal losing.

233
00:11:03,920 --> 00:11:06,880
Speaker 1: This is very normal after election cycles where you know,

234
00:11:06,920 --> 00:11:10,000
Speaker 1: the chosen candidate loses, or Fox last time, after twenty

235
00:11:10,040 --> 00:11:13,200
Speaker 1: twenty oh, there was a stop. I was going to say,

236
00:11:13,200 --> 00:11:15,600
Speaker 1: they suffed significant blow, not only because Trump lost, but

237
00:11:15,640 --> 00:11:17,680
Speaker 1: then they didn't really think he lost. And then these

238
00:11:17,720 --> 00:11:21,480
Speaker 1: other outlets One American Network and these other places were

239
00:11:21,480 --> 00:11:24,480
Speaker 1: willing to fully indulge the conspiracies in a way that Fox.

240
00:11:24,559 --> 00:11:27,440
Speaker 1: I mean, they only dabbled in indulging the conspiracies, so

241
00:11:27,480 --> 00:11:30,040
Speaker 1: they took a big hit as well. So in certain

242
00:11:30,080 --> 00:11:33,360
Speaker 1: ways this is typical, but in other ways I think

243
00:11:33,400 --> 00:11:36,439
Speaker 1: it is, it is significant, and it is different in

244
00:11:36,600 --> 00:11:39,520
Speaker 1: this sense I referenced in the last block, there's been

245
00:11:39,559 --> 00:11:44,720
Speaker 1: a liberal disillusionment with the mainstream press starting. Some of

246
00:11:44,720 --> 00:11:48,640
Speaker 1: this is I mean, it's justified, some of their specific

247
00:11:48,679 --> 00:11:53,040
Speaker 1: reasoning is not particularly justified. So the original angst and

248
00:11:53,240 --> 00:11:56,880
Speaker 1: agitation was around the reporting, the accurate reporting on Joe

249
00:11:56,880 --> 00:11:59,760
Speaker 1: Biden's decline. There were a lot of liberals who were

250
00:11:59,840 --> 00:12:01,960
Speaker 1: very mad about that. And then there's a whole cottage

251
00:12:01,960 --> 00:12:05,000
Speaker 1: industry of liberals who are very upset many times justifiably

252
00:12:05,040 --> 00:12:08,280
Speaker 1: so about New York Times headlines and in their worldview,

253
00:12:08,360 --> 00:12:10,760
Speaker 1: they feel that these outlets have not been harsh enough

254
00:12:11,160 --> 00:12:16,120
Speaker 1: on Donald Trump. Then the Washington Post bezos deciding not

255
00:12:16,320 --> 00:12:20,400
Speaker 1: to make an endorsement in this election was really how

256
00:12:20,400 --> 00:12:24,440
Speaker 1: many subsidy they lost, like thousand, It was like a

257
00:12:24,520 --> 00:12:26,920
Speaker 1: quarter of a million at least that was at that point.

258
00:12:26,960 --> 00:12:28,960
Speaker 1: That was like a day or two in of their

259
00:12:29,160 --> 00:12:33,720
Speaker 1: paid subscribers. So there has been a real blow to

260
00:12:34,400 --> 00:12:40,560
Speaker 1: liberal trust of establishment media organizations. And there have been

261
00:12:40,880 --> 00:12:44,920
Speaker 1: some outlets who have been picking up support in the

262
00:12:44,960 --> 00:12:47,640
Speaker 1: wake of this loss, for like the more liberal you

263
00:12:47,640 --> 00:12:52,000
Speaker 1: know institutions that have been the mainstays. Our friends over

264
00:12:52,040 --> 00:12:55,320
Speaker 1: at lever News, they apparently are doing really well.

265
00:12:55,360 --> 00:12:57,160
Speaker 4: We can put this up on the screen d two.

266
00:12:57,840 --> 00:13:00,840
Speaker 4: So I talked to David Sirota yesterday.

267
00:13:01,080 --> 00:13:03,400
Speaker 1: And he told me I could share with you that

268
00:13:03,559 --> 00:13:05,880
Speaker 1: not only has master Planned their podcast, which you guys

269
00:13:05,960 --> 00:13:08,240
Speaker 1: really should listen to, not only has that jumped up

270
00:13:08,240 --> 00:13:12,240
Speaker 1: the podcast charts, but they have seen an eleven percent

271
00:13:12,679 --> 00:13:16,280
Speaker 1: overall increase in their paid subs in just the past

272
00:13:16,320 --> 00:13:21,079
Speaker 1: couple of months, so a huge, huge jump in terms

273
00:13:21,080 --> 00:13:24,480
Speaker 1: of their paid subscribers. I talked to Ryan at drop

274
00:13:24,480 --> 00:13:28,080
Speaker 1: Site also, he said that they have seen specifically on

275
00:13:28,200 --> 00:13:31,800
Speaker 1: the free sub front, they've seen a massive, like multi

276
00:13:31,800 --> 00:13:35,960
Speaker 1: thousand person surge in terms of drop site News subscribers.

277
00:13:36,040 --> 00:13:37,240
Speaker 4: And then Nathan J.

278
00:13:37,400 --> 00:13:40,480
Speaker 1: Robinson, who is a lefty runs Current Affairs magazine, put

279
00:13:40,480 --> 00:13:41,280
Speaker 1: this up on the screen.

280
00:13:41,320 --> 00:13:42,240
Speaker 4: He says they've seen.

281
00:13:42,080 --> 00:13:45,480
Speaker 1: A nine hundred percent increase in the rate of new

282
00:13:45,520 --> 00:13:49,120
Speaker 1: Current Affairs subscribers over the last few days. He says,

283
00:13:49,160 --> 00:13:51,240
Speaker 1: people know independent left media tells them the truth. Other

284
00:13:51,360 --> 00:13:54,160
Speaker 1: outlets delude them and more vital than ever in combating

285
00:13:54,240 --> 00:13:58,280
Speaker 1: right wing propaganda. So there's some you know, some interesting

286
00:13:58,400 --> 00:14:00,800
Speaker 1: energy that is out there kind of on the left

287
00:14:00,840 --> 00:14:05,440
Speaker 1: looking for independent outlets that people feel more effectively report

288
00:14:05,440 --> 00:14:09,040
Speaker 1: the news and you know, share their worldview and also

289
00:14:09,200 --> 00:14:11,559
Speaker 1: are like with lever News, I mean, these guys are

290
00:14:11,559 --> 00:14:15,480
Speaker 1: doing actual journalism. Ryan obviously and Jeremy doing really important

291
00:14:15,480 --> 00:14:18,120
Speaker 1: actual journalism over at job site, and it's stuff that

292
00:14:18,160 --> 00:14:23,200
Speaker 1: the mainstream press has largely completely ignored, like accountability journalism

293
00:14:23,240 --> 00:14:26,240
Speaker 1: and with Ryan and Jerry particular, Big four, big focus

294
00:14:26,280 --> 00:14:29,640
Speaker 1: on foreign affairs. So kind of an interesting shift that's

295
00:14:29,640 --> 00:14:32,400
Speaker 1: happening there over on the on that side.

296
00:14:32,200 --> 00:14:34,800
Speaker 2: I can only hope and look, Rassia Gate saved their

297
00:14:34,880 --> 00:14:37,280
Speaker 2: ass last time, because this happened last time around too.

298
00:14:37,360 --> 00:14:40,720
Speaker 2: But this time, I don't know, you can tell me psychologically,

299
00:14:40,840 --> 00:14:42,080
Speaker 2: it just feels very different.

300
00:14:42,080 --> 00:14:44,800
Speaker 3: Oh, last time it was a shock. Trump was a shock.

301
00:14:44,920 --> 00:14:47,760
Speaker 2: If you're too young, I'm not imagine you remember. I

302
00:14:47,800 --> 00:14:49,720
Speaker 2: will never forget. So I was up till like three

303
00:14:49,840 --> 00:14:51,800
Speaker 2: or four in the morning. Election night, We're working at

304
00:14:51,800 --> 00:14:54,400
Speaker 2: the Daily Caller office, went home, grabbed a couple hours

305
00:14:54,400 --> 00:14:55,520
Speaker 2: of sleep, got on the metro.

306
00:14:55,840 --> 00:14:57,840
Speaker 3: The next morning, came to work. It was the death.

307
00:14:58,000 --> 00:14:59,080
Speaker 3: It was like nine to eleven.

308
00:14:59,200 --> 00:15:01,120
Speaker 2: Like that's I wasn't I was too young to remember

309
00:15:01,160 --> 00:15:03,000
Speaker 2: what it was like to be an adult, but that's

310
00:15:03,000 --> 00:15:04,960
Speaker 2: what I could imagine it was like to have been

311
00:15:05,120 --> 00:15:05,720
Speaker 2: around the day.

312
00:15:05,720 --> 00:15:06,120
Speaker 3: Afternoon.

313
00:15:06,320 --> 00:15:07,800
Speaker 1: Yeah, when I was walking through the airport, I had

314
00:15:07,840 --> 00:15:09,400
Speaker 1: the same vibe like people were.

315
00:15:09,320 --> 00:15:12,080
Speaker 2: I was like this, yeah, this is insane. This time

316
00:15:12,240 --> 00:15:15,200
Speaker 2: it was just like, you know, it's normal. Also, there's

317
00:15:15,200 --> 00:15:17,360
Speaker 2: no cope. This time he won the popular vote. He

318
00:15:17,360 --> 00:15:19,760
Speaker 2: won all the swing states. It wasn't narrow. It was

319
00:15:19,760 --> 00:15:25,160
Speaker 2: a blowout, like they left it all out on the

320
00:15:25,160 --> 00:15:26,720
Speaker 2: field and they got their asses kicked.

321
00:15:26,920 --> 00:15:29,440
Speaker 3: And there's so if anything, there's like a reckoning. I'm like,

322
00:15:29,480 --> 00:15:31,920
Speaker 3: all right, well, you know, we lost to him twice

323
00:15:32,240 --> 00:15:33,400
Speaker 3: in eight years.

324
00:15:33,440 --> 00:15:35,480
Speaker 1: It was not a one on. It was not a fluke.

325
00:15:35,640 --> 00:15:37,360
Speaker 1: It's not a we're going to get him next time. No,

326
00:15:37,520 --> 00:15:39,240
Speaker 1: in the end, like he got away with all the

327
00:15:39,280 --> 00:15:39,760
Speaker 1: stuff and.

328
00:15:39,720 --> 00:15:40,680
Speaker 3: He won and he won.

329
00:15:40,760 --> 00:15:44,200
Speaker 2: Yeah, no, not just one like he won the popular vote,

330
00:15:44,200 --> 00:15:45,680
Speaker 2: like that's a mandate, you know.

331
00:15:45,880 --> 00:15:47,680
Speaker 3: I mean, I remember, you know, everyone was like, how

332
00:15:47,680 --> 00:15:48,760
Speaker 3: can this possibly be?

333
00:15:48,880 --> 00:15:49,040
Speaker 4: It?

334
00:15:49,320 --> 00:15:51,400
Speaker 3: Look at the RNC, you know, we were talking earlier

335
00:15:51,440 --> 00:15:52,479
Speaker 3: about immigration.

336
00:15:52,640 --> 00:15:56,680
Speaker 2: They held up signs that said mass deportation at the RNC.

337
00:15:57,560 --> 00:16:01,080
Speaker 2: Don't be surprised when mass deportation happened. He stood up

338
00:16:01,120 --> 00:16:03,000
Speaker 2: in front of the sign the day before election. There

339
00:16:03,000 --> 00:16:05,360
Speaker 2: are only two things ins said behind him, n migrant

340
00:16:05,360 --> 00:16:06,840
Speaker 2: crime and mass deportation.

341
00:16:07,240 --> 00:16:09,400
Speaker 3: America knew what it was voting for one hundred percent.

342
00:16:09,640 --> 00:16:13,160
Speaker 2: So it's one of those where to them, that's unimaginable

343
00:16:13,200 --> 00:16:15,760
Speaker 2: to the liberal mind. But now they have to grapple

344
00:16:15,800 --> 00:16:17,600
Speaker 2: with that and It's one of those where they're like,

345
00:16:17,680 --> 00:16:20,800
Speaker 2: what do we do? And the truth is MSNBC has

346
00:16:20,840 --> 00:16:24,120
Speaker 2: no coherence to explain that strategy that's correct, and it's

347
00:16:24,200 --> 00:16:27,000
Speaker 2: because and look, you can give a left you know analogy. Wait,

348
00:16:27,040 --> 00:16:29,280
Speaker 2: I have plenty of disagreements. We'll continue to talk over

349
00:16:29,320 --> 00:16:31,560
Speaker 2: the next four years. But there's a coherence to what

350
00:16:31,600 --> 00:16:33,800
Speaker 2: you're offering to what Kyle is offering to I mean

351
00:16:33,800 --> 00:16:37,120
Speaker 2: to uh, even the podsafe guys to what they're offering.

352
00:16:37,400 --> 00:16:41,840
Speaker 2: But there is no coherence to MSNBC Morning Joe liberalism

353
00:16:42,120 --> 00:16:45,440
Speaker 2: that offered a path and got blown out by the

354
00:16:45,480 --> 00:16:46,360
Speaker 2: American electorate.

355
00:16:46,440 --> 00:16:50,320
Speaker 1: That is such a key point because the Kamala Harris campaign,

356
00:16:50,440 --> 00:16:54,040
Speaker 1: like they ran the Morning Joe campaign, it was run

357
00:16:54,160 --> 00:16:56,120
Speaker 1: exactly like Joe Scarborough would.

358
00:16:55,880 --> 00:16:56,400
Speaker 4: Want to run.

359
00:16:56,520 --> 00:16:59,920
Speaker 1: Yes, right, the embrace of freaking Liz Cheney, the obsess

360
00:17:00,400 --> 00:17:04,119
Speaker 1: with never Trump Republicans, the constant like shunning of the

361
00:17:04,200 --> 00:17:06,760
Speaker 1: base and anything that they would want, the you know,

362
00:17:06,880 --> 00:17:11,280
Speaker 1: constant like shilling for Israel and really you know, basically

363
00:17:11,280 --> 00:17:13,680
Speaker 1: smearing your own base as a bunch of anti Semits

364
00:17:13,720 --> 00:17:17,720
Speaker 1: for wanting a ceasefire and wanting peace. They ran that

365
00:17:17,760 --> 00:17:21,320
Speaker 1: campaign and Joe Biden ran that campaign, and Hillary Clinton

366
00:17:21,480 --> 00:17:24,480
Speaker 1: ran that campaign, and Joe Biden eeks down a win,

367
00:17:24,920 --> 00:17:28,360
Speaker 1: barely barely, at a time when Trump's approval ratings were

368
00:17:28,640 --> 00:17:31,840
Speaker 1: in the toilet. People were getting killed during COVID like

369
00:17:31,920 --> 00:17:34,200
Speaker 1: it was a mess, and you barely eke down a victory.

370
00:17:34,760 --> 00:17:37,640
Speaker 4: Now it's like, wow, this.

371
00:17:37,600 --> 00:17:43,080
Speaker 1: Whole universe, the especially the MSNBC CNN universe in particular,

372
00:17:43,119 --> 00:17:45,320
Speaker 1: but also the Washington Post New York Times universe.

373
00:17:45,880 --> 00:17:48,760
Speaker 4: Your view of the world was wrong. Like it was wrong.

374
00:17:49,240 --> 00:17:51,880
Speaker 4: It was repudiated. What you told us was going to work.

375
00:17:52,000 --> 00:17:54,040
Speaker 1: When you promised that these were the people who were

376
00:17:54,040 --> 00:17:56,840
Speaker 1: electorally viable and this was the path and these were

377
00:17:56,880 --> 00:17:58,879
Speaker 1: the you know issues, and this is how they should

378
00:17:58,880 --> 00:18:02,199
Speaker 1: talk about It's like they did all of that and

379
00:18:02,280 --> 00:18:03,400
Speaker 1: they lost.

380
00:18:03,920 --> 00:18:05,080
Speaker 4: They got blown out.

381
00:18:05,440 --> 00:18:08,840
Speaker 1: And not only that, but you told us that Donald

382
00:18:08,880 --> 00:18:11,240
Speaker 1: Trump was an existential threat and you did not act

383
00:18:11,320 --> 00:18:12,879
Speaker 1: like it. You did not act like it. I mean,

384
00:18:13,000 --> 00:18:14,959
Speaker 1: especially like Joe scart Butt. These people were running cover

385
00:18:15,040 --> 00:18:16,560
Speaker 1: for Joe Biden and still trying to keep him in

386
00:18:16,600 --> 00:18:17,800
Speaker 1: the race after that debate.

387
00:18:18,480 --> 00:18:19,359
Speaker 4: They wanted a four.

388
00:18:19,280 --> 00:18:22,320
Speaker 1: Hundred electoral college vote blowout. So I think there's just

389
00:18:22,440 --> 00:18:26,960
Speaker 1: a very justified loss of confidence, not only in those institutions,

390
00:18:27,000 --> 00:18:29,760
Speaker 1: but in that worldview entirely. So, I mean it creates

391
00:18:29,800 --> 00:18:33,760
Speaker 1: an opening, you know, clearly, like places like lever News,

392
00:18:33,800 --> 00:18:37,440
Speaker 1: drop site and others are you know, are there to fill.

393
00:18:37,680 --> 00:18:40,239
Speaker 1: And this whole conversation about like oh the democratsy their

394
00:18:40,280 --> 00:18:41,359
Speaker 1: own ecosystem or whatever.

395
00:18:41,400 --> 00:18:42,600
Speaker 4: It's like, Listen, it may not.

396
00:18:42,600 --> 00:18:45,320
Speaker 1: Be as big as the right or as well funded

397
00:18:45,400 --> 00:18:47,239
Speaker 1: as the right, but it's not like there is no

398
00:18:47,320 --> 00:18:52,840
Speaker 1: one in the left of center podcase podcast space. It's

399
00:18:52,880 --> 00:18:56,560
Speaker 1: just that you've spent most of your time like ignoring, shunning, smearing,

400
00:18:56,960 --> 00:19:01,240
Speaker 1: minimizing that world. And I think you know that probably

401
00:19:01,280 --> 00:19:03,840
Speaker 1: is somewhat going to change. The last thing just doesn't mention,

402
00:19:03,920 --> 00:19:06,600
Speaker 1: which is kind of funny. Chris Wallace is apparently leaving

403
00:19:06,680 --> 00:19:08,280
Speaker 1: CNN and you put this up on the screen.

404
00:19:08,680 --> 00:19:10,719
Speaker 4: Wasn't there a lot? What was he there? Four years?

405
00:19:10,800 --> 00:19:11,520
Speaker 3: Yeah?

406
00:19:11,560 --> 00:19:12,159
Speaker 4: Three years?

407
00:19:12,359 --> 00:19:15,280
Speaker 3: About three so he came for CNN plus.

408
00:19:15,040 --> 00:19:17,280
Speaker 4: Yes, oh I remember, I remember.

409
00:19:17,640 --> 00:19:20,560
Speaker 2: Apparently, though it's kind of misleading when they say he

410
00:19:20,640 --> 00:19:23,600
Speaker 2: quits CNN. What happened is is that they offered him

411
00:19:23,600 --> 00:19:25,480
Speaker 2: a pay cut and they were like, you can stay,

412
00:19:25,520 --> 00:19:27,240
Speaker 2: but you're gonna have to take a massive.

413
00:19:26,840 --> 00:19:29,040
Speaker 3: Pay cut and video could not, and he was like,

414
00:19:29,080 --> 00:19:30,840
Speaker 3: oh I can't handle them. He was getting paid like

415
00:19:30,920 --> 00:19:31,520
Speaker 3: seven million.

416
00:19:31,560 --> 00:19:33,959
Speaker 1: Well this was an actually very smart way for him

417
00:19:34,000 --> 00:19:35,720
Speaker 1: to frame this, to be honest with you, because he

418
00:19:35,840 --> 00:19:39,400
Speaker 1: was like, you know what, this cable news thing that's tired,

419
00:19:39,600 --> 00:19:41,879
Speaker 1: like streaming is where it's at. I'm going to go

420
00:19:41,920 --> 00:19:43,679
Speaker 1: out and do like the podcast thing.

421
00:19:43,680 --> 00:19:47,040
Speaker 3: Which good luck, it's good luck. First all, his show

422
00:19:47,119 --> 00:19:49,200
Speaker 3: is awful on CNN. It was very low rating.

423
00:19:49,280 --> 00:19:52,080
Speaker 1: Anyone watches almost any of these people is just because

424
00:19:52,119 --> 00:19:54,680
Speaker 1: it's like it's on in the background and that's it.

425
00:19:54,800 --> 00:19:57,440
Speaker 1: There's no like I'm tuning in for Chris Wallace that's

426
00:19:57,520 --> 00:19:58,080
Speaker 1: not really.

427
00:19:58,000 --> 00:19:59,040
Speaker 3: Had a very low rated show.

428
00:19:59,080 --> 00:20:01,120
Speaker 2: He tried to do all these we interviews with pop

429
00:20:01,119 --> 00:20:04,200
Speaker 2: culture Fish. Yeah, he completely lost his lane. Never should

430
00:20:04,200 --> 00:20:07,400
Speaker 2: a last Fox News Sunday. So yeah, I mean, look,

431
00:20:07,400 --> 00:20:09,760
Speaker 2: he's like a seventy something year old man, like he'll

432
00:20:09,760 --> 00:20:13,920
Speaker 2: be fire, yeah, exact right, retire multi millionaire. Your father

433
00:20:14,080 --> 00:20:15,919
Speaker 2: was famous. I'm sure it hurts not to be as

434
00:20:15,960 --> 00:20:18,239
Speaker 2: good as your dad. It's okay, you know, you're an

435
00:20:18,240 --> 00:20:20,280
Speaker 2: old man. You've had enough time to reconcile it at

436
00:20:20,280 --> 00:20:22,680
Speaker 2: this point, just right off from the sunset. All right,

437
00:20:22,760 --> 00:20:25,240
Speaker 2: leave it to us. We'll continue to fight here.

438
00:20:25,520 --> 00:20:27,920
Speaker 1: I like I like imagining him like over on Twitch

439
00:20:27,920 --> 00:20:29,480
Speaker 1: trying to compete with like Hassan.

440
00:20:29,200 --> 00:20:32,879
Speaker 3: Or something exact incredible, right, I like that. I want him.

441
00:20:32,920 --> 00:20:33,639
Speaker 4: I would like him to.

442
00:20:33,640 --> 00:20:34,840
Speaker 3: Try that out as lemon.

443
00:20:36,040 --> 00:20:39,000
Speaker 1: Right, all right, let's go ahead and get to Jim

444
00:20:39,080 --> 00:20:41,680
Speaker 1: Zobie to talk about his analysis of what went wrong,

445
00:20:42,040 --> 00:20:45,359
Speaker 1: what is going on at the DNC, the spending, the

446
00:20:45,400 --> 00:20:48,040
Speaker 1: blaming of voters, the AOC Trump voter, got a lot

447
00:20:48,040 --> 00:20:49,119
Speaker 1: of things we want to get to with him.

448
00:20:49,119 --> 00:20:50,000
Speaker 4: So let's go ahead and do that.

449
00:20:50,119 --> 00:20:50,800
Speaker 3: Let's get to it.

450
00:20:53,359 --> 00:20:55,560
Speaker 1: We are really fortunate this morning to be joined by

451
00:20:55,800 --> 00:20:58,480
Speaker 1: James Zobie, who, of course the president of Air American

452
00:20:58,520 --> 00:21:01,640
Speaker 1: Institute and also a thirty two year member of the DNC.

453
00:21:01,760 --> 00:21:01,879
Speaker 4: AM.

454
00:21:01,880 --> 00:21:06,040
Speaker 1: I right about those numbers, long suffering thirty two year

455
00:21:06,080 --> 00:21:07,240
Speaker 1: member of the DNZ.

456
00:21:08,960 --> 00:21:10,320
Speaker 5: Another, you're the suffering ones.

457
00:21:11,440 --> 00:21:13,320
Speaker 1: I think we're all suffering right now. To be honest

458
00:21:13,320 --> 00:21:15,560
Speaker 1: with you, Agam, at least you and I are at

459
00:21:15,560 --> 00:21:18,560
Speaker 1: this table. I had a number of things I wanted

460
00:21:18,600 --> 00:21:20,760
Speaker 1: to chat with you about, but I first did want

461
00:21:20,800 --> 00:21:24,240
Speaker 1: to talk to you about the DNC in particular, since

462
00:21:24,280 --> 00:21:27,600
Speaker 1: you have such deep knowledge of how that organization works

463
00:21:27,640 --> 00:21:30,439
Speaker 1: and where some of the problems are. Let's put this

464
00:21:30,480 --> 00:21:33,280
Speaker 1: first element up on the screen. Jamie Harrison has gotten

465
00:21:33,320 --> 00:21:36,119
Speaker 1: into a bit of a back and forth with Bernie Sanders. Bernie,

466
00:21:36,160 --> 00:21:39,199
Speaker 1: of course, came out with a quite scathing indictment of

467
00:21:39,240 --> 00:21:42,320
Speaker 1: the Democratic Party after Kamala Harris's loss, saying that they

468
00:21:42,359 --> 00:21:46,080
Speaker 1: abandoned working class people. Jamie Harrison, chair of the DNC,

469
00:21:46,560 --> 00:21:51,199
Speaker 1: described this as straight up BS, I'd love for you

470
00:21:51,240 --> 00:21:54,439
Speaker 1: to discuss, you know, both your thoughts on this particular battle,

471
00:21:54,480 --> 00:21:57,560
Speaker 1: but also more broadly, what's some of the issues that

472
00:21:57,640 --> 00:22:00,239
Speaker 1: you see are at the DNC and what you think

473
00:22:00,280 --> 00:22:01,800
Speaker 1: would be important in terms of reform.

474
00:22:03,040 --> 00:22:05,439
Speaker 5: Well, look, let's I'm going to leave some of the

475
00:22:05,640 --> 00:22:11,040
Speaker 5: political issues aside and just talk about the DNC. First.

476
00:22:11,680 --> 00:22:14,080
Speaker 5: I grew up. My mom was a precinct captain and

477
00:22:14,119 --> 00:22:16,359
Speaker 5: I used to go door to door with her and

478
00:22:16,480 --> 00:22:19,040
Speaker 5: go to ward meetings, and on election day we'd get

479
00:22:19,080 --> 00:22:20,960
Speaker 5: poll cards and we'd go to the polls and pass

480
00:22:21,000 --> 00:22:26,000
Speaker 5: them out. You belonged to something and you felt like

481
00:22:26,040 --> 00:22:30,040
Speaker 5: this was part of who you were. That's no longer

482
00:22:30,040 --> 00:22:34,879
Speaker 5: the case. The being a member of the Democratic Party

483
00:22:35,080 --> 00:22:38,880
Speaker 5: means nothing more than I'm on an email list, I'm

484
00:22:38,920 --> 00:22:43,359
Speaker 5: on a text message list, I'm on a hard mail list,

485
00:22:43,359 --> 00:22:46,240
Speaker 5: I'm on a phone list, and I get asked for money.

486
00:22:46,680 --> 00:22:50,160
Speaker 5: Nobody asked my opinion. There is no way to record

487
00:22:50,320 --> 00:22:57,800
Speaker 5: your feeling about an issue DNC, even DNC members. First

488
00:22:57,840 --> 00:23:01,159
Speaker 5: time we had an actual in all the years I've

489
00:23:01,200 --> 00:23:02,919
Speaker 5: been on the DNC, first time we had an actual

490
00:23:03,040 --> 00:23:07,680
Speaker 5: election was when Keith Ellison and Tom Perez faced off

491
00:23:07,720 --> 00:23:12,280
Speaker 5: after the Bernie Hillary race. First time we had a

492
00:23:12,440 --> 00:23:17,200
Speaker 5: floor vote and a debate on an issue was at

493
00:23:17,240 --> 00:23:21,040
Speaker 5: that same meeting when we debated whether we should accept

494
00:23:21,280 --> 00:23:27,080
Speaker 5: money from packs that emanated from businesses that violated the

495
00:23:27,160 --> 00:23:33,640
Speaker 5: DNC positions on oil fracking. Whatever. The fact is that

496
00:23:34,359 --> 00:23:37,280
Speaker 5: DNZ members even were like props who go to meetings

497
00:23:37,320 --> 00:23:39,520
Speaker 5: and fill chairs. And I can say it because I'm

498
00:23:39,520 --> 00:23:41,239
Speaker 5: a Catholic. You know, we know when to stand up,

499
00:23:41,280 --> 00:23:43,440
Speaker 5: when to sit down, when to clap, when to leave,

500
00:23:44,840 --> 00:23:50,439
Speaker 5: and you know votes are a done deal. The staff

501
00:23:50,480 --> 00:23:53,440
Speaker 5: decide what we vote on. When I was chair of

502
00:23:53,480 --> 00:23:57,560
Speaker 5: the Resolutions Committee for ten years, people even Barbara Lee,

503
00:23:57,600 --> 00:24:00,000
Speaker 5: would write a resolution and submit it and the staff

504
00:24:00,200 --> 00:24:02,080
Speaker 5: say we're not going to accept that, and I'd say, well,

505
00:24:02,080 --> 00:24:04,800
Speaker 5: then are you to not accept it? And the Unity

506
00:24:04,840 --> 00:24:08,119
Speaker 5: Reform Commission, I was able to get both sides, the

507
00:24:08,200 --> 00:24:13,320
Speaker 5: Hillary and Bernie side, to agree on a resolution to

508
00:24:13,560 --> 00:24:16,800
Speaker 5: honor our by laws and fulfill our by law requirement

509
00:24:16,880 --> 00:24:22,040
Speaker 5: to annually review the budget and evaluate the effectiveness of

510
00:24:22,160 --> 00:24:29,880
Speaker 5: expenditures and staff by creating an elected finance oversight committee.

511
00:24:30,040 --> 00:24:33,640
Speaker 5: Guess what staff wrote it out of the final They

512
00:24:33,760 --> 00:24:37,199
Speaker 5: deleted it from the final report and would not have

513
00:24:37,240 --> 00:24:39,680
Speaker 5: a vote on it, and then sent me to the

514
00:24:39,800 --> 00:24:43,840
Speaker 5: Rules and Bylaws Committee that after I fought and said

515
00:24:43,880 --> 00:24:45,480
Speaker 5: I want to vote on this, they said, yeah, will

516
00:24:45,480 --> 00:24:48,520
Speaker 5: you go to Rules and Bylaws Committee, which is peopled

517
00:24:48,640 --> 00:24:53,959
Speaker 5: by some of the very people, the consultants that I

518
00:24:54,040 --> 00:24:58,480
Speaker 5: was busy railing about in that proposal. Because every year,

519
00:24:58,560 --> 00:25:01,639
Speaker 5: every cycle, the DNC spends hundreds of millions of dollars.

520
00:25:01,680 --> 00:25:05,159
Speaker 5: This year well over a billion, and guess what, I

521
00:25:05,240 --> 00:25:10,159
Speaker 5: have no idea where it's going to go. The Harris

522
00:25:10,160 --> 00:25:13,440
Speaker 5: campaign went raised a billion dollars, is in the red.

523
00:25:14,000 --> 00:25:16,760
Speaker 5: We will never know where that money got spent. We

524
00:25:16,800 --> 00:25:20,040
Speaker 5: will never evaluate was it effective or not people give

525
00:25:20,119 --> 00:25:23,320
Speaker 5: three dollars donations monthly because they think we have no

526
00:25:23,440 --> 00:25:27,560
Speaker 5: idea where that money goes. And as opposed to being

527
00:25:27,640 --> 00:25:30,720
Speaker 5: a governing body, like I said, we're props at meetings.

528
00:25:30,760 --> 00:25:33,960
Speaker 5: And so what has to happen in the future is

529
00:25:33,960 --> 00:25:36,359
Speaker 5: that the DNC has to be the governing body of

530
00:25:36,400 --> 00:25:38,880
Speaker 5: the party and we have to build a party as

531
00:25:38,920 --> 00:25:41,760
Speaker 5: an organization that people belong to. There has to be

532
00:25:41,840 --> 00:25:46,200
Speaker 5: financial accountability and transparency. There has to be democratic decision

533
00:25:46,200 --> 00:25:48,440
Speaker 5: making so we know where this stuff is. I mean,

534
00:25:49,040 --> 00:25:53,000
Speaker 5: who decided that I'll get to the issues. I'm on

535
00:25:53,080 --> 00:25:54,760
Speaker 5: a terror when I get into this.

536
00:25:54,760 --> 00:25:56,760
Speaker 4: This is go off, go off.

537
00:25:58,280 --> 00:26:00,800
Speaker 5: Who decided that Liz Cheney was the ideal person to

538
00:26:01,760 --> 00:26:04,520
Speaker 5: campaign with. Who decided that we would give up on

539
00:26:04,560 --> 00:26:08,760
Speaker 5: the working class and go to suburban moderate Republican women.

540
00:26:09,119 --> 00:26:12,399
Speaker 5: I mean, how do those decisions get made? Who thinks

541
00:26:12,440 --> 00:26:16,040
Speaker 5: that stuff up? Who decides that, yeah, in Pennsylvania we

542
00:26:16,080 --> 00:26:20,160
Speaker 5: ought to be pro fracking. Who decided that we should

543
00:26:20,160 --> 00:26:25,040
Speaker 5: give up a universal healthcare? Who decided that we should

544
00:26:25,400 --> 00:26:30,800
Speaker 5: target our vote getting to constituencies that we could not

545
00:26:30,960 --> 00:26:34,000
Speaker 5: reach and not focus on people that we could reach.

546
00:26:34,080 --> 00:26:37,040
Speaker 5: Because I see what Jamie is saying that, yeah, Joe

547
00:26:37,080 --> 00:26:40,400
Speaker 5: Biden had a pro labor agenda. That's not the campaign

548
00:26:40,480 --> 00:26:45,159
Speaker 5: we ran in twenty four. I dare say, if you

549
00:26:45,200 --> 00:26:48,399
Speaker 5: ask union people how pro union were we, they wouldn't

550
00:26:48,440 --> 00:26:53,680
Speaker 5: have said so on something particular to me, who decided

551
00:26:54,240 --> 00:26:58,840
Speaker 5: that no Palestinian speaker at a convention because it would

552
00:26:58,840 --> 00:27:02,560
Speaker 5: be what to controversy when actually that's where the base

553
00:27:02,640 --> 00:27:03,399
Speaker 5: of the party is.

554
00:27:03,720 --> 00:27:06,200
Speaker 2: Yeah, well that's something we wanted to ask you about, sir.

555
00:27:06,440 --> 00:27:11,760
Speaker 2: We have some interesting There was AOC actually asked some

556
00:27:11,840 --> 00:27:14,200
Speaker 2: of her constituents, many of whom did vote for her

557
00:27:14,240 --> 00:27:16,520
Speaker 2: and for Donald Trump, and she was like, why, let's

558
00:27:16,520 --> 00:27:18,800
Speaker 2: put this up there on the screen. There's a variety

559
00:27:19,240 --> 00:27:22,200
Speaker 2: of interesting answers, and you can see there's there's quite

560
00:27:22,240 --> 00:27:25,240
Speaker 2: a few, but some are actually quite simple. There go

561
00:27:25,359 --> 00:27:27,800
Speaker 2: it's simple Trump and you care for the working class.

562
00:27:28,240 --> 00:27:30,199
Speaker 2: I wanted change, so I went with Trump. Blew for

563
00:27:30,240 --> 00:27:32,000
Speaker 2: the rest of the ballot to put on some brakes.

564
00:27:32,760 --> 00:27:36,080
Speaker 2: They say a few others and you know, are pointing

565
00:27:36,119 --> 00:27:37,440
Speaker 2: out very different stuff.

566
00:27:37,160 --> 00:27:40,040
Speaker 3: About war, but a lot of it was about war,

567
00:27:40,240 --> 00:27:41,520
Speaker 3: foreign policy, Gaza.

568
00:27:41,520 --> 00:27:44,359
Speaker 2: There were several of those, and so I'm curious for

569
00:27:44,640 --> 00:27:48,800
Speaker 2: your reaction considering that Trump did obviously run up the table,

570
00:27:48,960 --> 00:27:52,159
Speaker 2: you know, in the Bronx, but AOC actually was able

571
00:27:52,200 --> 00:27:54,520
Speaker 2: to hang on to some of that, and she says there,

572
00:27:54,520 --> 00:27:56,359
Speaker 2: I'd like to talk about the Gaza pieces as well,

573
00:27:56,560 --> 00:27:58,080
Speaker 2: and we'll make some stories about it later.

574
00:27:58,160 --> 00:28:01,000
Speaker 1: She outperformed Kamala Harris in the district by twenty two

575
00:28:01,040 --> 00:28:02,080
Speaker 1: points twenty.

576
00:28:02,200 --> 00:28:06,639
Speaker 5: A lot of Democrats performed Kamala Harris in their districts.

577
00:28:06,680 --> 00:28:09,920
Speaker 5: And where's the accountability for that? And I don't believe

578
00:28:09,960 --> 00:28:12,959
Speaker 5: it's Kamala Harris as much as it's the political consultants

579
00:28:13,200 --> 00:28:16,640
Speaker 5: who run make the decisions for the party. It's the

580
00:28:16,680 --> 00:28:20,280
Speaker 5: big donors who contribute to the party and the consultants

581
00:28:20,280 --> 00:28:22,520
Speaker 5: who get the money and make the decisions about what

582
00:28:22,560 --> 00:28:24,800
Speaker 5: we do and what we say and what's possible. And

583
00:28:24,840 --> 00:28:26,679
Speaker 5: they do the same with the candidates. I mean, what

584
00:28:26,720 --> 00:28:31,480
Speaker 5: we need is control over that process so that these consultants,

585
00:28:31,520 --> 00:28:34,600
Speaker 5: who incidentally never lose an election, they never lose an

586
00:28:34,640 --> 00:28:38,600
Speaker 5: election because they make their money, live with the consequences,

587
00:28:38,640 --> 00:28:40,600
Speaker 5: but they make their money and they come back again

588
00:28:40,920 --> 00:28:44,600
Speaker 5: two years from now, four years from now and do

589
00:28:44,720 --> 00:28:48,800
Speaker 5: the same stuff. Yeah, Frankly, that's got a change and

590
00:28:48,800 --> 00:28:53,560
Speaker 5: on Gaza, I understand completely. Look, I've been pulling on

591
00:28:53,600 --> 00:28:58,280
Speaker 5: this issue for a while what we call our coalition

592
00:28:58,440 --> 00:29:05,520
Speaker 5: these days, young people, Black Latino Asian voters. They are

593
00:29:05,600 --> 00:29:10,440
Speaker 5: decidedly against this war and against continuing to fund human

594
00:29:10,520 --> 00:29:14,920
Speaker 5: rights violations as we do. And we didn't pay attention

595
00:29:15,000 --> 00:29:15,560
Speaker 5: to them at all.

596
00:29:15,760 --> 00:29:16,000
Speaker 4: Yeah.

597
00:29:16,160 --> 00:29:18,680
Speaker 5: Actually, it's been so easy to speak to them, we didn't.

598
00:29:18,800 --> 00:29:21,160
Speaker 1: Let's put E three up on the screen, guys, because

599
00:29:21,160 --> 00:29:24,280
Speaker 1: this has some of the relevant data. This is about

600
00:29:24,760 --> 00:29:29,120
Speaker 1: Muslim voters. Muslim Americans back in twenty twenty ninety three

601
00:29:29,160 --> 00:29:33,560
Speaker 1: percent for Joe Biden, seven percent for Trump. This time

602
00:29:33,600 --> 00:29:37,880
Speaker 1: around fifty three percent for Jill Stein, twenty one percent

603
00:29:37,960 --> 00:29:42,160
Speaker 1: for Trump, and twenty percent for Kamala Harris.

604
00:29:42,720 --> 00:29:45,800
Speaker 5: Well you I'm going to I'm going to differ with

605
00:29:45,840 --> 00:29:46,160
Speaker 5: you on.

606
00:29:46,120 --> 00:29:47,520
Speaker 3: That, Okay, go ad.

607
00:29:48,280 --> 00:29:50,000
Speaker 1: Why I want to ask you is because you've done

608
00:29:50,240 --> 00:29:54,560
Speaker 1: so much research and pulling yourself. How what did you

609
00:29:54,640 --> 00:29:56,920
Speaker 1: see and how significant do you think this ended up

610
00:29:57,000 --> 00:29:58,520
Speaker 1: being to Kamala Harris's loss?

611
00:29:58,760 --> 00:30:01,280
Speaker 5: And Number one, that was a bogu. That's not a

612
00:30:01,280 --> 00:30:03,960
Speaker 5: poll at all. The demographics of it don't match. Look

613
00:30:04,120 --> 00:30:06,600
Speaker 5: from the group that did it fifty three percent for

614
00:30:07,240 --> 00:30:10,320
Speaker 5: Jill Stein. If there are two point five million registered

615
00:30:10,400 --> 00:30:12,680
Speaker 5: Muslim voters, which is what that group says there are,

616
00:30:13,200 --> 00:30:16,160
Speaker 5: and sixty percent of them turned out, which is one

617
00:30:16,240 --> 00:30:18,880
Speaker 5: point five million, fifty three percent of them is one

618
00:30:18,960 --> 00:30:22,160
Speaker 5: hundred thousand votes more than Jill Stein actually got in

619
00:30:22,200 --> 00:30:25,680
Speaker 5: the hard count. So that's a bogus thing. What we

620
00:30:25,800 --> 00:30:28,360
Speaker 5: found in our polling was among Arab Americans, we don't

621
00:30:28,400 --> 00:30:32,440
Speaker 5: pull Muslims overall because it's a very diverse community and

622
00:30:32,480 --> 00:30:36,920
Speaker 5: the largest group, portion of which are African American who

623
00:30:37,000 --> 00:30:41,680
Speaker 5: I believe, did vote for Jill for I'm sorry for Harris.

624
00:30:42,040 --> 00:30:45,640
Speaker 5: I think in the Arab community what you got was

625
00:30:46,360 --> 00:30:49,920
Speaker 5: a more even split between Trump and Harris. That's not

626
00:30:50,240 --> 00:30:53,920
Speaker 5: enough because Joe Biden got sixty percent of that vote

627
00:30:54,320 --> 00:30:56,920
Speaker 5: and Donald Trump got a little over thirty percent. He

628
00:30:56,960 --> 00:31:00,640
Speaker 5: beat her. He beat Trump two to one. If Harris

629
00:31:00,680 --> 00:31:03,560
Speaker 5: had beaten Trump two to one, she might have won

630
00:31:03,640 --> 00:31:08,320
Speaker 5: Michigan with air of American votes. As it was, she

631
00:31:08,480 --> 00:31:13,520
Speaker 5: lost sixty seventy thousand Air of American voters statewide, coupled

632
00:31:13,520 --> 00:31:17,760
Speaker 5: with students and others who stayed home or also voted

633
00:31:17,800 --> 00:31:22,720
Speaker 5: for other candidates and you got the loss. But again,

634
00:31:23,000 --> 00:31:25,280
Speaker 5: that kind of autopsy is not going to be done.

635
00:31:26,200 --> 00:31:29,080
Speaker 5: And that's when I saw reports that there ought to

636
00:31:29,080 --> 00:31:31,560
Speaker 5: be an autopsy, and then I saw the people they

637
00:31:31,560 --> 00:31:34,240
Speaker 5: were mentioning for the autopsy. It's like giving the murderer

638
00:31:34,320 --> 00:31:36,680
Speaker 5: the right to dissect the body and figure out what

639
00:31:37,760 --> 00:31:40,000
Speaker 5: you know. You don't have the consultants who brought us

640
00:31:40,080 --> 00:31:43,680
Speaker 5: the mess do the autopsy on how the consultants brought

641
00:31:43,720 --> 00:31:46,280
Speaker 5: us the mess, because that's where it came from. Don't

642
00:31:46,320 --> 00:31:49,880
Speaker 5: blame the voters. I have an interview in Rolling Stone

643
00:31:50,320 --> 00:31:50,600
Speaker 5: right now.

644
00:31:50,720 --> 00:31:52,000
Speaker 4: Actually can put that up on the screen.

645
00:31:52,040 --> 00:31:55,240
Speaker 5: Guys on the sport, don't blame the people you let down.

646
00:31:56,080 --> 00:31:59,440
Speaker 5: I mean, so, how do you get to a point

647
00:31:59,440 --> 00:32:05,080
Speaker 5: where the Republican Party what's his name, Lindsey Graham can

648
00:32:05,160 --> 00:32:08,120
Speaker 5: say we're the party of the working class and Democrats

649
00:32:08,160 --> 00:32:09,800
Speaker 5: have become the party of the elites?

650
00:32:10,360 --> 00:32:10,800
Speaker 3: How did that?

651
00:32:10,840 --> 00:32:13,280
Speaker 5: Even? How did we get to that point? Aren't we

652
00:32:13,320 --> 00:32:16,240
Speaker 5: ashamed of ourselves that we let down the working class

653
00:32:16,240 --> 00:32:20,360
Speaker 5: to that extent that they don't see us as their champions,

654
00:32:20,880 --> 00:32:29,040
Speaker 5: that they see this bigoted, xenophobic, narcissistic, misogynist criminal as

655
00:32:29,080 --> 00:32:33,000
Speaker 5: their champion because he talks to them, and Joe Biden

656
00:32:33,120 --> 00:32:36,280
Speaker 5: did talk to them. He did. I don't believe the

657
00:32:36,280 --> 00:32:39,200
Speaker 5: Harris campaign did. I think she could have, but the

658
00:32:39,240 --> 00:32:42,440
Speaker 5: consultants had a different message for her. It was going

659
00:32:42,480 --> 00:32:45,520
Speaker 5: to be joy. But there weren't people in the country

660
00:32:45,560 --> 00:32:49,360
Speaker 5: feeling joy. There were people feeling hurt. And why did

661
00:32:49,520 --> 00:32:53,280
Speaker 5: the consultants not understand that hurt? Why didn't they understand

662
00:32:53,280 --> 00:32:58,560
Speaker 5: that people felt socially, economically, politically dislocated and unsure of

663
00:32:58,640 --> 00:33:02,360
Speaker 5: their future. Why did we not understand that and craft

664
00:33:02,400 --> 00:33:06,200
Speaker 5: a campaign? Why because the consultants are out of touch. Yeah,

665
00:33:06,400 --> 00:33:09,040
Speaker 5: here's what I say. You know, Ben Rhodes calls the

666
00:33:09,160 --> 00:33:13,400
Speaker 5: foreign policy blob people who've been cycled for decades and

667
00:33:13,720 --> 00:33:16,880
Speaker 5: don't get the world and how it's changed. We have

668
00:33:16,960 --> 00:33:21,000
Speaker 5: the political consultancy blob. It's the same people who populate

669
00:33:21,120 --> 00:33:24,840
Speaker 5: all these campaigns, who make all the decisions, and they're

670
00:33:24,880 --> 00:33:27,160
Speaker 5: completely out of touch with where the electorate is. And

671
00:33:27,240 --> 00:33:30,440
Speaker 5: yet they keep coming back campaign after campaign. We see

672
00:33:30,440 --> 00:33:31,880
Speaker 5: the same faces running things.

673
00:33:32,200 --> 00:33:34,120
Speaker 1: Jim, last question for you, do you have a favorite

674
00:33:34,160 --> 00:33:35,320
Speaker 1: for next Dan c chair?

675
00:33:35,960 --> 00:33:37,240
Speaker 4: I do? Who do you like?

676
00:33:37,920 --> 00:33:42,000
Speaker 5: He hasn't announced yet, he will writing and so. But

677
00:33:42,080 --> 00:33:44,520
Speaker 5: it is a state chair. Yeah, it's a state chair.

678
00:33:44,560 --> 00:33:47,520
Speaker 5: And I believe that we need somebody who has the

679
00:33:47,600 --> 00:33:52,440
Speaker 5: commitment to building the organization as an organization, you know,

680
00:33:52,640 --> 00:33:54,760
Speaker 5: and I and I believe that.

681
00:33:54,920 --> 00:33:55,120
Speaker 3: You know.

682
00:33:55,160 --> 00:33:57,960
Speaker 5: The other thing is there ought to be an end

683
00:33:58,200 --> 00:34:02,520
Speaker 5: to the dominant of the political consultants over a decision making.

684
00:34:02,880 --> 00:34:05,200
Speaker 5: Electing a new chair is one thing, but we've got

685
00:34:05,280 --> 00:34:07,840
Speaker 5: to have a DNC that is empowered to be the

686
00:34:07,880 --> 00:34:12,320
Speaker 5: governing body. And I will tell you I'm thinking of

687
00:34:12,400 --> 00:34:14,120
Speaker 5: running for one of the vice.

688
00:34:13,960 --> 00:34:15,759
Speaker 4: Chair slots because that's fantastic.

689
00:34:16,360 --> 00:34:19,279
Speaker 5: Thirty two years and I am up to here with

690
00:34:19,680 --> 00:34:23,520
Speaker 5: the the you know, the banging my head against the

691
00:34:23,560 --> 00:34:25,840
Speaker 5: wall for change, I decided, I guess I'm just going

692
00:34:25,920 --> 00:34:28,799
Speaker 5: to have to try to raise those issues. I don't

693
00:34:28,800 --> 00:34:30,440
Speaker 5: know if I'll win, but at least I'll have a

694
00:34:30,520 --> 00:34:33,600
Speaker 5: chance to raise the issues, and I want to do it.

695
00:34:34,160 --> 00:34:34,399
Speaker 4: Well.

696
00:34:34,520 --> 00:34:39,600
Speaker 1: That is some some rare good news for me, at

697
00:34:39,719 --> 00:34:42,920
Speaker 1: least to hear post elections. So I'm always great to

698
00:34:42,920 --> 00:34:44,640
Speaker 1: talk to you, and I hope you know once you

699
00:34:44,800 --> 00:34:49,160
Speaker 1: officially jump in, and your ideal candidate also officially jumps in,

700
00:34:49,160 --> 00:34:50,719
Speaker 1: that you'll come back and explain to us why you

701
00:34:50,719 --> 00:34:51,880
Speaker 1: think that this is the right course.

702
00:34:52,080 --> 00:34:54,759
Speaker 5: Good to see you say, take care, bye you too.

703
00:34:57,560 --> 00:35:00,560
Speaker 4: In the wake of Kamala's stunning defeat, have.

704
00:35:00,440 --> 00:35:03,440
Speaker 1: Been studiously passing around various charts and data points to

705
00:35:03,480 --> 00:35:05,520
Speaker 1: try to make sense of it all. Here's a regression

706
00:35:05,520 --> 00:35:08,680
Speaker 1: analysis of voter preferences in seven key states. Here's a

707
00:35:08,760 --> 00:35:12,440
Speaker 1: graph mapping ideological leanings versus district over performance compared to

708
00:35:12,480 --> 00:35:15,040
Speaker 1: Gamala and Biden. Here's a heat map of the precincts

709
00:35:15,040 --> 00:35:18,000
Speaker 1: where Trump accumulated the largest eight year improvement correlated with

710
00:35:18,040 --> 00:35:21,399
Speaker 1: income deciyle, listen, I get it, and I'm the same.

711
00:35:21,719 --> 00:35:24,120
Speaker 1: I'm a little a student teacher's pet type, and I

712
00:35:24,120 --> 00:35:26,279
Speaker 1: too would like to plot, chart, and data analyze my

713
00:35:26,320 --> 00:35:29,800
Speaker 1: way to the one correct answer for how Democrats should look, walk, talk,

714
00:35:29,880 --> 00:35:32,160
Speaker 1: and act. But to be honest with you, that shit

715
00:35:32,239 --> 00:35:36,680
Speaker 1: needs to stop because it utterly misses how politics actually works.

716
00:35:37,000 --> 00:35:41,360
Speaker 1: In fact, this type of focus group, poll driven laundry

717
00:35:41,360 --> 00:35:45,000
Speaker 1: list approach to politics is exactly what Democrats already do,

718
00:35:45,920 --> 00:35:48,680
Speaker 1: and you can see precisely how that's worked out. In fact,

719
00:35:49,160 --> 00:35:53,200
Speaker 1: Kamala ran the platonic ideal of this approach, which has

720
00:35:53,239 --> 00:35:58,160
Speaker 1: been dubbed popularism. Now the guy who popularized popularism David Shore.

721
00:35:58,480 --> 00:36:01,680
Speaker 1: He actually ran a seven hundred million dollars super pack

722
00:36:01,800 --> 00:36:04,560
Speaker 1: for the kmmon campaign. The basic idea is you pull

723
00:36:04,560 --> 00:36:07,080
Speaker 1: a bunch of policies, you pick what's most popular, and

724
00:36:07,120 --> 00:36:09,560
Speaker 1: you run on it. Like a good little centrist. Kama

725
00:36:09,560 --> 00:36:12,040
Speaker 1: Is shoed all divisive talk of racer genders. She spent

726
00:36:12,080 --> 00:36:14,799
Speaker 1: the entire campaign run around with Republican insitcumvince everyone she

727
00:36:14,840 --> 00:36:17,920
Speaker 1: didn't actually really stand for anything. She embraced the GOP

728
00:36:18,040 --> 00:36:20,400
Speaker 1: position on the border. She talked endlessly about how she

729
00:36:20,520 --> 00:36:24,000
Speaker 1: prosecuted transnational gangs and argued the problem with Trump's border

730
00:36:24,040 --> 00:36:26,800
Speaker 1: policy was that he didn't construct enough of his vaunted

731
00:36:26,840 --> 00:36:30,399
Speaker 1: border wall seriously. As John Stewart argued, though far from

732
00:36:30,480 --> 00:36:34,440
Speaker 1: running a woke campaign, Kammalin, Democrats obsessively tried to pander

733
00:36:34,440 --> 00:36:36,680
Speaker 1: to the polls and adopted Republican framing.

734
00:36:36,840 --> 00:36:40,239
Speaker 12: I only have one problem with the woke theory. I

735
00:36:40,320 --> 00:36:43,759
Speaker 12: just didn't recall seeing any Democrats running on woke shit.

736
00:36:44,800 --> 00:36:47,920
Speaker 12: These were the commercials I saw for the Democrats. Shared

737
00:36:48,000 --> 00:36:50,800
Speaker 12: Brown is working to fix our border crisis and Monday

738
00:36:50,960 --> 00:36:53,240
Speaker 12: Jones is working to secure our border.

739
00:36:53,360 --> 00:36:56,080
Speaker 6: Pat Ryan is restoring order at our southern border.

740
00:36:56,400 --> 00:36:58,960
Speaker 4: I'm Laura Gillon, and I'm here at the border of

741
00:36:59,040 --> 00:37:02,320
Speaker 4: Nasa County with two thousand miles from Mexico.

742
00:37:02,400 --> 00:37:05,239
Speaker 5: But we're stealing the migrant crisis almost every day.

743
00:37:05,440 --> 00:37:08,280
Speaker 1: We can't let China steal Wisconsin's.

744
00:37:07,719 --> 00:37:11,880
Speaker 2: Jobs, benefits for legal immigrants, no way blocking support for

745
00:37:11,960 --> 00:37:12,720
Speaker 2: white farmers.

746
00:37:13,120 --> 00:37:14,400
Speaker 9: I mean, look at.

747
00:37:14,280 --> 00:37:17,760
Speaker 12: Me standing with law enforcement against defunding the police.

748
00:37:17,960 --> 00:37:19,319
Speaker 4: I've owned a done my whole life.

749
00:37:19,480 --> 00:37:20,160
Speaker 12: Let me be clear.

750
00:37:20,880 --> 00:37:23,400
Speaker 5: I don't want boys playing girls sports. You all know me.

751
00:37:23,640 --> 00:37:35,319
Speaker 12: I've never pushed for sex changes. Well that's just a

752
00:37:35,320 --> 00:37:38,800
Speaker 12: weird one at the end of don't forget about Tomala Harris.

753
00:37:38,960 --> 00:37:40,399
Speaker 3: It's not like she was exactly.

754
00:37:40,080 --> 00:37:42,040
Speaker 12: Waving around her NPR tote bag.

755
00:37:42,520 --> 00:37:43,200
Speaker 5: I have a clock.

756
00:37:53,320 --> 00:37:54,040
Speaker 3: They didn't do the.

757
00:37:53,960 --> 00:37:56,840
Speaker 12: Woke thing they tried. They have to like Republicans for

758
00:37:56,880 --> 00:37:59,879
Speaker 12: the last four months, they wore tamo hats and went

759
00:38:00,080 --> 00:38:05,480
Speaker 12: to Cheney family reunion. Check out how dangers it is

760
00:38:05,480 --> 00:38:07,800
Speaker 12: to wear a hunting hat around Shaney.

761
00:38:09,000 --> 00:38:11,960
Speaker 1: Collin's campaign could have been designed by a centrist AI

762
00:38:12,160 --> 00:38:16,160
Speaker 1: fed reams of focused group data, poll tested messaging world's

763
00:38:16,160 --> 00:38:20,240
Speaker 1: most lethal military opportunity economy coalition of Liz Cheney, Taylor Swift,

764
00:38:20,239 --> 00:38:23,479
Speaker 1: and Bernie Sanders. As Edin Germentum points out over on Twitter,

765
00:38:23,640 --> 00:38:25,600
Speaker 1: quote the wave al are talking. You would never have

766
00:38:25,760 --> 00:38:28,440
Speaker 1: known the central pillar of the Democratic campaign strategy was

767
00:38:28,480 --> 00:38:30,799
Speaker 1: bringing up the border bill that Trump shot down. This

768
00:38:30,960 --> 00:38:34,239
Speaker 1: was very much the first post wokeness Democratic campaign was

769
00:38:34,320 --> 00:38:36,719
Speaker 1: run by a party whose top people road Mataglesias and

770
00:38:36,760 --> 00:38:39,520
Speaker 1: gave seven hundred million dollars to a pack heavily influenced

771
00:38:39,520 --> 00:38:42,160
Speaker 1: by David Shore. For this wing to act like Cassandra's

772
00:38:42,280 --> 00:38:45,600
Speaker 1: is beyond absurd. And I would add that she and

773
00:38:45,640 --> 00:38:49,480
Speaker 1: Biden routinely took every opportunity to castigate lefty college kids

774
00:38:49,520 --> 00:38:53,120
Speaker 1: for their campus activism, smearing the prototypical pink haired college

775
00:38:53,160 --> 00:38:56,280
Speaker 1: kids who happened to be opposing a genocide as raging

776
00:38:56,320 --> 00:39:00,640
Speaker 1: anti semits. What's more, during the campaign, the popularist, some centrists,

777
00:39:00,640 --> 00:39:02,880
Speaker 1: they all thought this campaign was going great.

778
00:39:03,400 --> 00:39:04,440
Speaker 4: They loved the.

779
00:39:04,400 --> 00:39:08,640
Speaker 1: Liz Cheney strategy. Here is Jonathan Chait in New York Magazine.

780
00:39:08,920 --> 00:39:11,960
Speaker 1: He says the race is close because Harris is running

781
00:39:12,000 --> 00:39:17,200
Speaker 1: a brilliant campaign. Stop complaining the centrism is working. But

782
00:39:17,280 --> 00:39:21,080
Speaker 1: of course even when Democrats run exactly as Chait, Aglesias

783
00:39:21,120 --> 00:39:21,359
Speaker 1: and co.

784
00:39:21,520 --> 00:39:21,640
Speaker 7: Won.

785
00:39:21,960 --> 00:39:24,920
Speaker 1: There's always some person out there existing in the world

786
00:39:24,960 --> 00:39:28,000
Speaker 1: and being woke that they can blame for elite democratic

787
00:39:28,000 --> 00:39:31,040
Speaker 1: failures and working class abandonment. Now, I don't think it's

788
00:39:31,080 --> 00:39:33,000
Speaker 1: fair to lay all the blame for Kamma's loss at

789
00:39:33,000 --> 00:39:35,360
Speaker 1: her feet, but certainly she gets some of the blame,

790
00:39:35,560 --> 00:39:38,600
Speaker 1: and so too do those who advocate for this bloodless,

791
00:39:38,840 --> 00:39:43,000
Speaker 1: paint by number style of politics. It has failed routinely

792
00:39:43,160 --> 00:39:46,440
Speaker 1: and now completely, and their capitulation in Republican framing is

793
00:39:46,520 --> 00:39:50,440
Speaker 1: already a moral and political catastrophe. The core of Kmma's

794
00:39:50,440 --> 00:39:53,080
Speaker 1: approach and that of biden bulk of establishment politics, is

795
00:39:53,120 --> 00:39:56,800
Speaker 1: to avoid controversy and avoid division. If an issue polls

796
00:39:56,840 --> 00:39:59,640
Speaker 1: under sixty percent, avoid it if a previous position drops

797
00:39:59,640 --> 00:40:02,839
Speaker 1: in support or abandon it. Studiously avoids saying anything that

798
00:40:02,920 --> 00:40:05,160
Speaker 1: might God forbid create a backlash.

799
00:40:05,520 --> 00:40:07,239
Speaker 4: This approach is wrong. It's brain dead.

800
00:40:07,320 --> 00:40:09,919
Speaker 1: It's idiotic, as is the saying that politics is about

801
00:40:09,920 --> 00:40:14,600
Speaker 1: addition wrong. Winning politics that can also deliver anything worthwhile

802
00:40:14,840 --> 00:40:19,040
Speaker 1: is divisive. The only thing that really matters is getting

803
00:40:19,160 --> 00:40:23,640
Speaker 1: that division correct. Think about Trump, For God's sakes, he

804
00:40:23,719 --> 00:40:26,439
Speaker 1: is the single most divisive politician of modern era. Without

805
00:40:26,440 --> 00:40:30,080
Speaker 1: a doubt, he is also the most successful. He deeply

806
00:40:30,239 --> 00:40:33,359
Speaker 1: understands his divisive politics, and everything he says and does

807
00:40:33,400 --> 00:40:37,320
Speaker 1: effectively drives towards the division that serves his political interests

808
00:40:37,320 --> 00:40:39,880
Speaker 1: and message. On one side of the migrants, democrats, and

809
00:40:39,920 --> 00:40:42,839
Speaker 1: cultural elites who, in his narrative, want to destroy your town,

810
00:40:43,160 --> 00:40:46,040
Speaker 1: steal your job, and indoctrinate your kids. On the other

811
00:40:46,120 --> 00:40:49,000
Speaker 1: side is anyone who supports Trump against these forces. And

812
00:40:49,040 --> 00:40:51,360
Speaker 1: Trump alone is of course the politician who can fix

813
00:40:51,480 --> 00:40:56,680
Speaker 1: the problem. Another divisive politician, Bernie Now. He stylistically, of course,

814
00:40:56,760 --> 00:40:59,799
Speaker 1: quite different from Trump, but make no mistake, his fundamentally

815
00:40:59,840 --> 00:41:03,399
Speaker 1: is a divisive politics and the language of occupy. It's

816
00:41:03,440 --> 00:41:05,640
Speaker 1: the ninety nine percent versus the one percent. It's the

817
00:41:05,680 --> 00:41:09,520
Speaker 1: millionaires and billionaires versus everyone else, throwing the corporate media

818
00:41:09,640 --> 00:41:11,920
Speaker 1: the corrupt establishment, and you've got all you need for

819
00:41:11,960 --> 00:41:15,200
Speaker 1: a winning, fruitful, divisive politics.

820
00:41:15,680 --> 00:41:18,440
Speaker 4: Think about it. If you did your little checklist.

821
00:41:18,080 --> 00:41:22,240
Speaker 1: Politics telling how popular Kamala's policies are versus Trump's policies,

822
00:41:22,480 --> 00:41:25,799
Speaker 1: Kamala would win every time. Democrats would sweep forty states,

823
00:41:25,840 --> 00:41:28,120
Speaker 1: as evidenced by the fact that paid sickly of abortion

824
00:41:28,239 --> 00:41:31,239
Speaker 1: rights and high minimum wages were passed in deep red

825
00:41:31,239 --> 00:41:34,759
Speaker 1: states like Missouri, but that is not remotely how politics

826
00:41:34,800 --> 00:41:38,440
Speaker 1: actually works. Democratic posters Lilinda Lake made this point when

827
00:41:38,440 --> 00:41:40,600
Speaker 1: she explained the difference in how voters saw Trump and

828
00:41:40,680 --> 00:41:45,360
Speaker 1: Kamalist economic policies. Quote, everybody knows what Trump economics is,

829
00:41:45,600 --> 00:41:48,440
Speaker 1: China tariffs, tax cuts. Then you go to them and

830
00:41:48,480 --> 00:41:50,920
Speaker 1: ask what are Democratic economics and someone will make a

831
00:41:50,960 --> 00:41:53,280
Speaker 1: joke about welfare, and half the people can't name anything.

832
00:41:53,360 --> 00:41:56,319
Speaker 1: It is nothing like the Republican brand. Now this isn't

833
00:41:56,320 --> 00:41:59,000
Speaker 1: because Democrats had a failed ad strategy. There's some evidence

834
00:41:59,040 --> 00:42:01,200
Speaker 1: there ad and grond game. Actually we're kind of effective.

835
00:42:01,600 --> 00:42:04,239
Speaker 1: It's because they have zero narrative. They have failed to

836
00:42:04,280 --> 00:42:08,080
Speaker 1: create the right divisive politics. And if you don't relentlessly

837
00:42:08,120 --> 00:42:10,840
Speaker 1: explain your story of the world, your goals, principles, heroes

838
00:42:10,840 --> 00:42:14,000
Speaker 1: and villains, your opponents, they will happily fill in the blanks. Ergo,

839
00:42:14,200 --> 00:42:17,520
Speaker 1: she's for they them, he's for you. So what would

840
00:42:17,520 --> 00:42:20,480
Speaker 1: a better strategy look like? Well, it looks like Bernie's

841
00:42:20,480 --> 00:42:24,040
Speaker 1: twenty sixteen class verse populism, but on steroids. Democrats need

842
00:42:24,080 --> 00:42:27,000
Speaker 1: to abandon a bland and offensive unity between the Chinese

843
00:42:27,040 --> 00:42:31,120
Speaker 1: and AOC, and embrace the division that aggressively excises everyone

844
00:42:31,360 --> 00:42:34,759
Speaker 1: who puts the billionaire's interests over the working class. There

845
00:42:34,840 --> 00:42:37,719
Speaker 1: should be purity tests on everything that is core to

846
00:42:37,920 --> 00:42:41,719
Speaker 1: that war against the plutocrats, and a large public purge

847
00:42:41,960 --> 00:42:44,600
Speaker 1: of those who are on the wrong side of that divide.

848
00:42:44,960 --> 00:42:47,440
Speaker 1: If you don't agree the billionaire and should be abolished,

849
00:42:47,440 --> 00:42:48,920
Speaker 1: then get the fuck out. If you don't want to

850
00:42:49,000 --> 00:42:50,680
Speaker 1: tax the rich, get the fuck out. If you don't

851
00:42:50,680 --> 00:42:53,080
Speaker 1: want to radically increase union power, get the fuck out.

852
00:42:53,200 --> 00:42:55,560
Speaker 1: If you don't want to implement a universal jobs guarantee,

853
00:42:55,680 --> 00:42:58,440
Speaker 1: get out. If you don't want universal health care, get out.

854
00:42:58,920 --> 00:43:00,880
Speaker 1: If you do support these things but you also have

855
00:43:01,000 --> 00:43:04,040
Speaker 1: more moderate position of abortion, guns, trans athletes, okay, there

856
00:43:04,040 --> 00:43:06,440
Speaker 1: can be a space for you here. But these cultural

857
00:43:06,440 --> 00:43:10,440
Speaker 1: issues can never be central. They are distractions because to

858
00:43:10,480 --> 00:43:13,520
Speaker 1: claim them as central is to void the correct divisive

859
00:43:13,560 --> 00:43:16,960
Speaker 1: frame and undercut the narrative. The war is not between

860
00:43:16,960 --> 00:43:20,120
Speaker 1: immigrants and Americans. The war is between the plutocrats and

861
00:43:20,160 --> 00:43:23,960
Speaker 1: the people. Immigrant and trans Panics. Those are ploys to

862
00:43:24,120 --> 00:43:27,240
Speaker 1: keep regular people divided against each other instead of against

863
00:43:27,280 --> 00:43:31,000
Speaker 1: the corrupt political media and economic elite who have rigged

864
00:43:31,000 --> 00:43:35,080
Speaker 1: the system and hogged all the spoils. Elon Musk is

865
00:43:35,080 --> 00:43:37,480
Speaker 1: out there running around crying about trans people and migrants

866
00:43:37,480 --> 00:43:40,400
Speaker 1: existing because he wants another giant taxpayer subsidy and an

867
00:43:40,440 --> 00:43:43,000
Speaker 1: even bigger tax cut. He does not have your best

868
00:43:43,000 --> 00:43:45,360
Speaker 1: interest or those of the country for that matter in mind.

869
00:43:45,760 --> 00:43:48,600
Speaker 1: Vernie explained the all perfectly in a classic clip, of course,

870
00:43:48,719 --> 00:43:50,200
Speaker 1: which is recently resurfaced.

871
00:43:50,239 --> 00:43:50,760
Speaker 4: Take a listen.

872
00:43:51,000 --> 00:43:52,960
Speaker 13: Now, if you had an agenda like that and you

873
00:43:53,000 --> 00:43:56,680
Speaker 13: went before the American people, tax breaks for the rich,

874
00:43:57,800 --> 00:44:01,319
Speaker 13: destruction of medicad, destruction of socialist security as we know it,

875
00:44:02,320 --> 00:44:04,640
Speaker 13: lowering the minimum wage or abolishing it, how many votes

876
00:44:04,640 --> 00:44:05,319
Speaker 13: do you think you'd get?

877
00:44:06,680 --> 00:44:07,319
Speaker 3: Not a whole lot.

878
00:44:07,760 --> 00:44:10,319
Speaker 13: Maybe the riches one percent we vote for you. That's

879
00:44:10,360 --> 00:44:11,719
Speaker 13: not a lot of votes. So what do I do?

880
00:44:12,040 --> 00:44:13,480
Speaker 3: Got a problem?

881
00:44:13,640 --> 00:44:15,359
Speaker 13: You package it? How do you package it? And here

882
00:44:15,480 --> 00:44:18,279
Speaker 13: I want you to pay attention to me. This this

883
00:44:18,320 --> 00:44:21,759
Speaker 13: is bad stuff. We divide people up by racist affirmative

884
00:44:21,760 --> 00:44:24,840
Speaker 13: action becomes one issue, all them black people getting the

885
00:44:24,920 --> 00:44:27,760
Speaker 13: jobs that we white people used to have, split people

886
00:44:27,840 --> 00:44:31,160
Speaker 13: working class white against black instead of working together to

887
00:44:31,160 --> 00:44:35,000
Speaker 13: create decent jobs for all those uppity women now they

888
00:44:35,040 --> 00:44:37,799
Speaker 13: want the right to choose. Will split people on the

889
00:44:37,840 --> 00:44:40,440
Speaker 13: abortion issue. We'll split people up on the gun issue.

890
00:44:40,520 --> 00:44:43,560
Speaker 13: We'll split people up on religious issues. You follow what

891
00:44:43,600 --> 00:44:46,759
Speaker 13: I'm saying, So you split people up, and then they

892
00:44:46,880 --> 00:44:50,080
Speaker 13: end up if you're a middle class person voting against

893
00:44:50,080 --> 00:44:52,840
Speaker 13: your own interests, and the rich go laughing all the

894
00:44:52,880 --> 00:44:55,160
Speaker 13: way to the bank. And they succeed with the help

895
00:44:55,480 --> 00:44:58,600
Speaker 13: of the media because the media will not talk about

896
00:44:58,600 --> 00:45:01,600
Speaker 13: how in a sense that problems that Americans face on

897
00:45:01,640 --> 00:45:05,200
Speaker 13: how we bring people together. And that's what I believe.

898
00:45:05,280 --> 00:45:08,720
Speaker 13: I believe that on issues, like everybody in this room thinks,

899
00:45:08,840 --> 00:45:11,279
Speaker 13: I think that instead of giving tax breaks to the rich,

900
00:45:11,800 --> 00:45:14,440
Speaker 13: we should increase federal aid to education. Anyone disagree with that,

901
00:45:14,880 --> 00:45:17,640
Speaker 13: But you know what, most Americans agree with that. All

902
00:45:17,680 --> 00:45:20,600
Speaker 13: of you think that every American should be entitled to healthcare.

903
00:45:21,239 --> 00:45:23,040
Speaker 13: I suspect most of you think we should not have

904
00:45:23,080 --> 00:45:25,960
Speaker 13: a trade policy which allows corporations to throw American workers

905
00:45:25,960 --> 00:45:29,000
Speaker 13: out on the street and run to China. Most Americans

906
00:45:29,160 --> 00:45:32,760
Speaker 13: agree with that. And our job is to bring people

907
00:45:32,880 --> 00:45:36,359
Speaker 13: together on common interest and some of these extreme right

908
00:45:36,400 --> 00:45:39,040
Speaker 13: wing people you watch the issues that they talk about

909
00:45:39,080 --> 00:45:42,560
Speaker 13: affirmative action. They use to divide the issue of abortion,

910
00:45:42,640 --> 00:45:45,160
Speaker 13: they use to divide the issue of guns. They use

911
00:45:45,239 --> 00:45:48,440
Speaker 13: to divide. And our job is to say, let's focus

912
00:45:48,480 --> 00:45:51,680
Speaker 13: on basic economic issues. How do we expand the middle class.

913
00:45:52,000 --> 00:45:54,360
Speaker 13: This is a great country. Why is it the average

914
00:45:54,400 --> 00:45:57,200
Speaker 13: American is working longer hours for low wages than thirty

915
00:45:57,280 --> 00:45:57,680
Speaker 13: years ago.

916
00:45:57,920 --> 00:46:00,239
Speaker 4: Let's talk about that, amen, Bernie.

917
00:46:00,320 --> 00:46:02,720
Speaker 1: And of course there is another figure in American history

918
00:46:02,760 --> 00:46:05,520
Speaker 1: we can look to who understood this politics of division

919
00:46:05,800 --> 00:46:09,120
Speaker 1: and reaped massive electoral rewards which allowed him to deliver

920
00:46:09,120 --> 00:46:12,400
Speaker 1: an American social democratic program. Talking of course about FDR,

921
00:46:12,719 --> 00:46:16,080
Speaker 1: who famously welcomed the hatred of those economic royalists wo

922
00:46:16,080 --> 00:46:18,400
Speaker 1: would seek to block his agenda. In front of the

923
00:46:18,440 --> 00:46:21,520
Speaker 1: show I our miosa Frimpong points out plan is actually

924
00:46:21,840 --> 00:46:24,799
Speaker 1: not that complicated and FDR's economic bill of rights will

925
00:46:24,880 --> 00:46:26,080
Speaker 1: more than suffice.

926
00:46:26,280 --> 00:46:27,920
Speaker 4: It reads, every.

927
00:46:27,640 --> 00:46:31,120
Speaker 1: American has the right to number one a job. Number two,

928
00:46:31,360 --> 00:46:34,440
Speaker 1: an adequate wage and decent living number three, a decent

929
00:46:34,480 --> 00:46:39,320
Speaker 1: home number four, medical care number five, economic protection during sickness, accident,

930
00:46:39,400 --> 00:46:43,759
Speaker 1: old age, or unemployment. Number six, a good education. That's it.

931
00:46:44,480 --> 00:46:48,280
Speaker 1: That's the program. Simple to understand impossible to actually achieve

932
00:46:48,360 --> 00:46:51,680
Speaker 1: with the current donor beholden leadership of the Democratic Party.

933
00:46:52,239 --> 00:46:55,400
Speaker 1: Probably the only hope is someone to come in like

934
00:46:55,480 --> 00:46:58,040
Speaker 1: a bullet and china shop from the outside, like what

935
00:46:58,120 --> 00:47:01,480
Speaker 1: Donald Trump did. Even Bernie was ultimately way too nice

936
00:47:01,480 --> 00:47:04,320
Speaker 1: to these people. And since the program is actively hostile

937
00:47:04,320 --> 00:47:06,839
Speaker 1: to capital, the capital class will wage a far more

938
00:47:06,920 --> 00:47:10,399
Speaker 1: aggressive fight than they really mustered against Trump. Is more

939
00:47:10,520 --> 00:47:12,560
Speaker 1: likely the Democrats take the advice of those who are

940
00:47:12,600 --> 00:47:15,160
Speaker 1: rushiing to throw trans people, immigrants, whoever, under the bus

941
00:47:15,200 --> 00:47:19,040
Speaker 1: and simply capitulate to Trump's narrative many already have. In fact,

942
00:47:19,239 --> 00:47:21,640
Speaker 1: this path may even be electorally viable in the same

943
00:47:21,680 --> 00:47:25,200
Speaker 1: way that Democrats became viable after Bill Clinton adopted Reagannite

944
00:47:25,280 --> 00:47:29,360
Speaker 1: neoliberal framing. But I don't care about Democrats winning ultimately,

945
00:47:29,440 --> 00:47:32,680
Speaker 1: I hear about delivering meaningful improvements for working class people,

946
00:47:32,719 --> 00:47:37,560
Speaker 1: avoiding wars, and keeping our democracy. Donor friendly capitulation is

947
00:47:37,560 --> 00:47:41,320
Speaker 1: a plan to avoid even joining the fight, Sager.

948
00:47:41,520 --> 00:47:43,080
Speaker 4: The John suro Clip enjoyed that.

949
00:47:43,160 --> 00:47:45,920
Speaker 2: And if you want to hear my reaction to Crystal's monologue,

950
00:47:45,920 --> 00:47:49,480
Speaker 2: become a Premium subscriber today. At breakingpoints dot com. Thank

951
00:47:49,480 --> 00:47:51,399
Speaker 2: you guys so much for watching. We appreciate you thinking

952
00:47:51,440 --> 00:47:53,560
Speaker 2: me a great counterpoints show for everybody tomorrow and we'll

953
00:47:53,560 --> 00:48:05,200
Speaker 2: see you all on Thursday.