1
00:00:00,320 --> 00:00:03,400
Speaker 1: Cable news is ripping us apart, dividing the nation, making

2
00:00:03,480 --> 00:00:05,920
Speaker 1: it impossible to function as a society and to know

3
00:00:05,960 --> 00:00:08,720
Speaker 1: what is true and what is false. The good news

4
00:00:08,800 --> 00:00:10,840
Speaker 1: is that they're failing and they know it. That is

5
00:00:10,840 --> 00:00:14,840
Speaker 1: why we're building something new. Be part of creating a new, better, healthier,

6
00:00:14,880 --> 00:00:17,960
Speaker 1: and more trustworthy mainstream by becoming a Breaking Points Premium

7
00:00:17,960 --> 00:00:21,520
Speaker 1: member today at breakingpoints dot com. Your hard earned money

8
00:00:21,560 --> 00:00:23,400
Speaker 1: is going to help us build for the midterms and

9
00:00:23,440 --> 00:00:27,400
Speaker 1: the upcoming presidential election so we can provide unparalleled coverage

10
00:00:27,400 --> 00:00:28,640
Speaker 1: of what is sure to be one of the most

11
00:00:28,640 --> 00:00:32,320
Speaker 1: pivotal moments in American history. So what are you waiting for?

12
00:00:32,520 --> 00:00:53,960
Speaker 1: Go to Breakingpoints dot com to help us out. Good morning, everybody,

13
00:00:54,000 --> 00:00:56,240
Speaker 1: Happy Tuesday. We have an amazing show for everybody today.

14
00:00:56,240 --> 00:00:58,400
Speaker 1: What do we have, Chrystal, Indeed we do. Soccer and

15
00:00:58,400 --> 00:01:01,720
Speaker 1: I were discussing yesterday. Certainly seems like the news comes

16
00:01:01,760 --> 00:01:05,800
Speaker 1: in waves, tidal waves at times, and it's definitely a

17
00:01:05,840 --> 00:01:09,400
Speaker 1: feast not a famine moment. In terms of news, all

18
00:01:09,480 --> 00:01:12,959
Speaker 1: kinds of new developments about the various inquiries that Trump

19
00:01:12,959 --> 00:01:15,840
Speaker 1: and his allies are facing, including Rudy Giuliani being told

20
00:01:15,880 --> 00:01:18,120
Speaker 1: that he is in fact the target of a probe.

21
00:01:18,160 --> 00:01:21,360
Speaker 1: We also have interesting back and forth between Trump and

22
00:01:21,360 --> 00:01:23,720
Speaker 1: the FBI about did they take his passports, who they

23
00:01:23,720 --> 00:01:26,000
Speaker 1: still have as passports, what does it all mean? So

24
00:01:26,080 --> 00:01:29,480
Speaker 1: we will get into that. The Justice Department saying arguing

25
00:01:29,680 --> 00:01:33,520
Speaker 1: in court that they do not want the affidavit of

26
00:01:33,880 --> 00:01:36,119
Speaker 1: giving all of the reasons why they wanted to conduct

27
00:01:36,160 --> 00:01:38,360
Speaker 1: this search. They do not want that release to the public.

28
00:01:38,400 --> 00:01:41,760
Speaker 1: So we have those details. Also, today is another primary day,

29
00:01:41,840 --> 00:01:44,440
Speaker 1: a couple of interesting races on the ballot. I'm going

30
00:01:44,440 --> 00:01:46,600
Speaker 1: to take a look at Sarah Plen and Liz Cheney.

31
00:01:46,760 --> 00:01:49,000
Speaker 1: We also have some new indications about some of the

32
00:01:49,040 --> 00:01:51,920
Speaker 1: midterm races. Republicans continuing to struggle with fundraising in a

33
00:01:51,960 --> 00:01:55,560
Speaker 1: way that is quite surprising, major turnaround from how things

34
00:01:55,560 --> 00:01:59,880
Speaker 1: were going for them previously. And maybe the most hilarious,

35
00:02:00,080 --> 00:02:04,160
Speaker 1: unintentionally hilarious campaign video I've ever seen coming from doctor Oz.

36
00:02:04,240 --> 00:02:07,320
Speaker 1: No buno, doctor Oz. Yes, let's just say. It involves

37
00:02:07,320 --> 00:02:10,079
Speaker 1: the word crue de tae. It involves French, which is

38
00:02:10,400 --> 00:02:14,600
Speaker 1: you're already going on the rock. Also some interesting info

39
00:02:14,720 --> 00:02:18,160
Speaker 1: about the housing market. People expect a crash, but actually

40
00:02:18,240 --> 00:02:20,480
Speaker 1: also a lot of people cheering for a crash who

41
00:02:20,520 --> 00:02:21,959
Speaker 1: have not been able to buy a home and would

42
00:02:22,040 --> 00:02:25,080
Speaker 1: like to be able to and in New York Times

43
00:02:25,240 --> 00:02:29,360
Speaker 1: endorsement that failed to disclose a major conflict of interests.

44
00:02:29,520 --> 00:02:31,880
Speaker 1: We also have Jeff Stein on today to break down

45
00:02:31,919 --> 00:02:34,800
Speaker 1: the Inflation Reduction Act, which has now passed the House

46
00:02:35,320 --> 00:02:36,919
Speaker 1: and is going to be the law of the land.

47
00:02:37,000 --> 00:02:39,760
Speaker 1: So dig into all of that with him. But first

48
00:02:40,320 --> 00:02:42,640
Speaker 1: we asked you how you wanted, if you were a

49
00:02:42,639 --> 00:02:45,200
Speaker 1: premium subscriber to receive the show. Did you want it

50
00:02:45,240 --> 00:02:47,360
Speaker 1: to continue to be on YouTube but have the quality

51
00:02:47,360 --> 00:02:50,200
Speaker 1: degraded or did you want it to be uploaded to

52
00:02:50,320 --> 00:02:53,240
Speaker 1: Vimeo and sager? The results are. The results are in,

53
00:02:53,440 --> 00:02:56,240
Speaker 1: and there has been a vicious battle. I can best

54
00:02:56,280 --> 00:02:58,760
Speaker 1: describe it as East Coast versus West Coast. The East

55
00:02:58,800 --> 00:03:01,519
Speaker 1: Coaster is very added that they want their show on time.

56
00:03:01,560 --> 00:03:03,520
Speaker 1: The West Coast are saying, I don't care, just release

57
00:03:03,560 --> 00:03:05,960
Speaker 1: it in higher quality. So as a result, in order

58
00:03:06,000 --> 00:03:08,320
Speaker 1: to please es Central timers, by the way, seem apparently split.

59
00:03:08,960 --> 00:03:11,200
Speaker 1: It's a it's a great privilege to have so many

60
00:03:11,240 --> 00:03:14,720
Speaker 1: people who care so much about the show. Feelings. Yeah,

61
00:03:14,720 --> 00:03:16,320
Speaker 1: people had a lot of feelings We've got hundreds and

62
00:03:16,360 --> 00:03:18,840
Speaker 1: hundreds of emails about this, so we have decided that

63
00:03:18,880 --> 00:03:20,639
Speaker 1: this is what we're going to do. We will do both.

64
00:03:20,720 --> 00:03:22,880
Speaker 1: We will both release it on Vimeo so that you

65
00:03:22,919 --> 00:03:25,280
Speaker 1: can get it as soon as humanly possible for those

66
00:03:25,280 --> 00:03:27,160
Speaker 1: who are on the East coast, and we will also

67
00:03:27,240 --> 00:03:30,120
Speaker 1: include the YouTube link. Now, to be clear, that YouTube

68
00:03:30,160 --> 00:03:33,400
Speaker 1: link can and often will take a little bit longer

69
00:03:33,400 --> 00:03:37,720
Speaker 1: than the eleven am est arrival time, and so if

70
00:03:37,720 --> 00:03:39,520
Speaker 1: the checks are running, if the link is not working,

71
00:03:39,720 --> 00:03:41,880
Speaker 1: you can then if you need your fix immediately, go

72
00:03:41,920 --> 00:03:44,400
Speaker 1: ahead on Vimeo. We will not degrade the quality whatsoever.

73
00:03:44,440 --> 00:03:46,040
Speaker 1: We'll keep the quality for those of you watch it

74
00:03:46,080 --> 00:03:48,560
Speaker 1: on your four K television, and we will include Vimeo

75
00:03:48,600 --> 00:03:51,680
Speaker 1: for those who want their immediate fix. So I assuming

76
00:03:51,760 --> 00:03:55,120
Speaker 1: this middle ground can please everybody. That is what everybody's

77
00:03:55,160 --> 00:03:59,600
Speaker 1: asked for. And yeah, soccer, you know, democracy is democracy,

78
00:04:00,000 --> 00:04:03,320
Speaker 1: anyone's voice. We welcome all of your opinions. Very divided

79
00:04:03,360 --> 00:04:04,800
Speaker 1: house here, Yeah, and I was saying, you know, the

80
00:04:04,880 --> 00:04:08,360
Speaker 1: vote fifty actually fifty to fifty in terms of I

81
00:04:08,400 --> 00:04:10,800
Speaker 1: was like, oh my god. And I genuinely thought that

82
00:04:10,800 --> 00:04:13,360
Speaker 1: people would arrive to a consensus, but they didn't and

83
00:04:13,480 --> 00:04:15,360
Speaker 1: we'll look, we're not the country, so we can actually

84
00:04:15,360 --> 00:04:17,680
Speaker 1: come up with a solution that pleases ever say. That's

85
00:04:17,680 --> 00:04:19,640
Speaker 1: what we're going to do from here going forward. If

86
00:04:19,640 --> 00:04:23,240
Speaker 1: you have any more issues, you can send us an email. Okay. Oh,

87
00:04:23,320 --> 00:04:25,760
Speaker 1: and live show, live show tickets. Don't forget to buy

88
00:04:25,760 --> 00:04:27,960
Speaker 1: your live show tickets. Coming right around the corner. Exactly

89
00:04:28,000 --> 00:04:32,039
Speaker 1: one month from today, seven thirty pm, Center Stage Theater

90
00:04:32,200 --> 00:04:34,279
Speaker 1: in Atlanta. We will be there. We're gonna have a

91
00:04:34,279 --> 00:04:38,080
Speaker 1: great show for everybody. But enough of the administrative topics.

92
00:04:38,200 --> 00:04:41,880
Speaker 1: Let's get to the actual show now. As Crystal alluded to,

93
00:04:42,120 --> 00:04:44,359
Speaker 1: when it rains, it pours, it certainly comes with this

94
00:04:44,400 --> 00:04:47,000
Speaker 1: Trump raid in the FBI. The more details that we

95
00:04:47,040 --> 00:04:50,080
Speaker 1: are learning. So as we had talked about previously, now

96
00:04:50,080 --> 00:04:52,400
Speaker 1: we have the search warrant, we have the inventory list.

97
00:04:52,480 --> 00:04:54,839
Speaker 1: We know it involves some sort of classified documents. We

98
00:04:54,880 --> 00:04:57,159
Speaker 1: also know that, in terms of the three laws that

99
00:04:57,160 --> 00:04:59,680
Speaker 1: were cited by the FBI and their search warrant, none

100
00:04:59,720 --> 00:05:02,440
Speaker 1: of the documents necessarily even have to be classified. Simply

101
00:05:02,480 --> 00:05:05,000
Speaker 1: having the classification markings may be enough in order to

102
00:05:05,080 --> 00:05:08,160
Speaker 1: violate the Espionage Act. Furthermore, we are also aware by

103
00:05:08,279 --> 00:05:11,760
Speaker 1: open reporting that the Trump lawyers themselves, at least one

104
00:05:11,839 --> 00:05:15,039
Speaker 1: lawyer had signed a message to the FBI in June

105
00:05:15,279 --> 00:05:18,559
Speaker 1: claiming that all classified marketing documents had been delivered back

106
00:05:18,640 --> 00:05:22,560
Speaker 1: to the FBI, again opening themselves up for investigation. Ultimately

107
00:05:22,600 --> 00:05:25,239
Speaker 1: what led to the search warrant itself. As I said yesterday,

108
00:05:25,279 --> 00:05:26,920
Speaker 1: part of the problem with the search warrant is we

109
00:05:26,960 --> 00:05:28,839
Speaker 1: don't know a lot about the facts and the actual

110
00:05:28,880 --> 00:05:32,760
Speaker 1: investigation that led to said search warrant actually being executed.

111
00:05:33,000 --> 00:05:35,120
Speaker 1: And as I was saying, I was really hoping we

112
00:05:35,240 --> 00:05:40,200
Speaker 1: get the affidavit. Well, News organization think like mindedly, all

113
00:05:40,320 --> 00:05:42,919
Speaker 1: are filing in requests in order for the Department of

114
00:05:43,040 --> 00:05:47,000
Speaker 1: Justice to release the actual affidavit themselves. And now we

115
00:05:47,040 --> 00:05:49,680
Speaker 1: are learning from the Department of Justice in their protest

116
00:05:49,760 --> 00:05:52,560
Speaker 1: of doing so a little bit more about their investigation.

117
00:05:52,880 --> 00:05:55,520
Speaker 1: Let's throw this up there on the screen. In a

118
00:05:55,640 --> 00:05:58,000
Speaker 1: new filing that came out late last night, in a

119
00:05:58,040 --> 00:06:02,120
Speaker 1: response to organization's requests to unseal the affidavit, the Department

120
00:06:02,160 --> 00:06:04,520
Speaker 1: of Justice says that it is objecting to the unsealing

121
00:06:04,800 --> 00:06:07,039
Speaker 1: of that Trump search warrant. Throw the next one up

122
00:06:07,080 --> 00:06:09,840
Speaker 1: there on the screen, please, Part of the reason why

123
00:06:09,920 --> 00:06:13,760
Speaker 1: that they are objecting is because the FBI affidavit, unless

124
00:06:13,760 --> 00:06:16,479
Speaker 1: pay very close offense to as language people, makes reference

125
00:06:16,520 --> 00:06:20,480
Speaker 1: to quote cooperating witnesses, and the DOJ says that their

126
00:06:20,520 --> 00:06:24,520
Speaker 1: identities need to remain protected. Second, the Department of Justice

127
00:06:24,520 --> 00:06:30,240
Speaker 1: confirms the investigation quote implicates highly classified materials. So why

128
00:06:30,279 --> 00:06:33,120
Speaker 1: do those two things matter? Number one in terms of

129
00:06:33,120 --> 00:06:37,440
Speaker 1: the classification. Obviously it upholds the general contours, But they're

130
00:06:37,480 --> 00:06:39,760
Speaker 1: making it and saying that it is in such highly

131
00:06:39,760 --> 00:06:42,960
Speaker 1: sensitive documents that even describing themselves as we saw in

132
00:06:43,000 --> 00:06:45,680
Speaker 1: the FBI inventory, it just said highly classified documents, didn't

133
00:06:45,680 --> 00:06:48,120
Speaker 1: say anything that it ended up itself they say would

134
00:06:48,120 --> 00:06:51,359
Speaker 1: threaten national security. But really what I think it is

135
00:06:51,360 --> 00:06:55,440
Speaker 1: is that they said and confirmed that they have cooperating Well,

136
00:06:55,440 --> 00:06:57,920
Speaker 1: they didn't confirm the cooperating witnesses, but they said unsealing

137
00:06:57,920 --> 00:07:01,359
Speaker 1: it would cause undue harm to so any cooperating witnesses

138
00:07:01,560 --> 00:07:04,480
Speaker 1: they may have. Gives a significant amount of credence to

139
00:07:04,600 --> 00:07:07,279
Speaker 1: that theory that there is some sort of FBI mole

140
00:07:07,480 --> 00:07:10,280
Speaker 1: rat whatever you want to describe it, in the operation.

141
00:07:10,440 --> 00:07:12,080
Speaker 1: It could be a member of the Trump legal team,

142
00:07:12,280 --> 00:07:13,920
Speaker 1: it could be a secret service as it could be

143
00:07:14,000 --> 00:07:15,880
Speaker 1: any of the number of people who are around Donald

144
00:07:15,920 --> 00:07:19,360
Speaker 1: Trump himself. And then finally some language that they used

145
00:07:19,400 --> 00:07:21,920
Speaker 1: in their objection to the unseiling. The third one, let's

146
00:07:21,920 --> 00:07:25,120
Speaker 1: please put it up there, is that they said disclosure

147
00:07:25,200 --> 00:07:28,920
Speaker 1: of the warrant affidavit would irreparably harm the government's ongoing

148
00:07:29,040 --> 00:07:33,360
Speaker 1: criminal investigation because there had been some speculation here shut

149
00:07:33,400 --> 00:07:36,000
Speaker 1: Crystal on whether the search warrant was an end in

150
00:07:36,040 --> 00:07:39,400
Speaker 1: and of itself to just seize the documents, not part

151
00:07:39,600 --> 00:07:43,440
Speaker 1: of an ongoing and active criminal investigation. So those are

152
00:07:43,520 --> 00:07:45,520
Speaker 1: I would say, the three main things that we have

153
00:07:45,600 --> 00:07:47,600
Speaker 1: learned from this filing. Yeah, I mean, we're trying to

154
00:07:47,640 --> 00:07:49,600
Speaker 1: read the tea leaves on all this stuff as best

155
00:07:49,600 --> 00:07:52,200
Speaker 1: we can the little bit of limited information. It would

156
00:07:52,200 --> 00:07:55,880
Speaker 1: be so interesting to see all of the details of

157
00:07:56,000 --> 00:07:58,680
Speaker 1: this affidavit, and certainly, as someone who works in the

158
00:07:58,720 --> 00:08:04,280
Speaker 1: news business, very much love for them to disclose this. Ultimately,

159
00:08:04,320 --> 00:08:07,400
Speaker 1: It's not surprising though, because you know, I think there's

160
00:08:07,440 --> 00:08:10,600
Speaker 1: there's two considerations. One is they don't want to compromise

161
00:08:10,640 --> 00:08:13,520
Speaker 1: their investigation. They don't want Trump and his allies to

162
00:08:13,600 --> 00:08:15,600
Speaker 1: know exactly how they were able to glean all of

163
00:08:15,600 --> 00:08:18,000
Speaker 1: this information. They certainly don't want them to know who

164
00:08:18,080 --> 00:08:21,280
Speaker 1: the rat or multiple rats, what's like the is it

165
00:08:21,320 --> 00:08:26,560
Speaker 1: a warren of rats? Actually don't know. Anyway, they don't

166
00:08:26,560 --> 00:08:28,880
Speaker 1: want them to know the identities of those people. And

167
00:08:28,920 --> 00:08:30,640
Speaker 1: you mentioned it could be someone who's legal team. I mean,

168
00:08:30,640 --> 00:08:32,320
Speaker 1: the more I think about that, the more I wonder

169
00:08:32,360 --> 00:08:35,080
Speaker 1: if that actually makes a lot of sense, because you know,

170
00:08:35,120 --> 00:08:37,439
Speaker 1: if you think about it, they're trying to help him

171
00:08:37,440 --> 00:08:39,800
Speaker 1: work with it through this issue with the National Archives.

172
00:08:39,920 --> 00:08:42,559
Speaker 1: He's maybe potentially telling them like, yeah, of course I

173
00:08:42,880 --> 00:08:45,200
Speaker 1: cand it over everything, and if they discover that that's

174
00:08:45,240 --> 00:08:48,960
Speaker 1: not the case, they could find themselves in potential legal jeopardy.

175
00:08:49,200 --> 00:08:51,480
Speaker 1: So you may have someone involved here who's trying to

176
00:08:51,520 --> 00:08:55,320
Speaker 1: save their own ass by informing on Trump and giving

177
00:08:55,640 --> 00:08:58,480
Speaker 1: the FBI the information that ultimately they put into this

178
00:08:58,520 --> 00:09:02,800
Speaker 1: affidavit and helped to secure this search warrant. So those

179
00:09:02,840 --> 00:09:07,400
Speaker 1: are the major revelations here. Now, it is theoretically possible

180
00:09:07,440 --> 00:09:10,840
Speaker 1: that the judge could say, no, government, I don't agree,

181
00:09:10,880 --> 00:09:13,040
Speaker 1: We're going to go ahead and unseal the affidavit. But

182
00:09:13,080 --> 00:09:17,079
Speaker 1: that is highly highly unlikely, especially with the government making

183
00:09:17,120 --> 00:09:20,720
Speaker 1: the case that the affidavit should remain sealed. And as

184
00:09:20,720 --> 00:09:23,760
Speaker 1: I said before, I'm not really sure that Trump would

185
00:09:23,960 --> 00:09:28,520
Speaker 1: also want this to be unsealed, because you know, ultimately

186
00:09:28,559 --> 00:09:30,439
Speaker 1: then you end up with a situation where he's sort

187
00:09:30,440 --> 00:09:32,880
Speaker 1: of being tried in the court of public opinion, and

188
00:09:32,920 --> 00:09:35,320
Speaker 1: affidavit is not the same as a trial. There are

189
00:09:35,360 --> 00:09:37,160
Speaker 1: things in there that could turn out to you know,

190
00:09:37,200 --> 00:09:40,120
Speaker 1: not pan down. It may be more suggestive than based

191
00:09:40,160 --> 00:09:43,960
Speaker 1: on you know, concrete here's what we know happened. So

192
00:09:43,960 --> 00:09:46,080
Speaker 1: so anyway, not clear to me that he would really

193
00:09:46,120 --> 00:09:48,520
Speaker 1: be in favor of this being released either. Yeah, affidavits

194
00:09:48,559 --> 00:09:51,360
Speaker 1: aren't like statements of fact. It's like the government's case

195
00:09:51,600 --> 00:09:54,920
Speaker 1: against somebody in a court in order to justify a

196
00:09:54,960 --> 00:09:56,960
Speaker 1: search warrant. So, like he said, it would include no

197
00:09:57,040 --> 00:09:59,600
Speaker 1: pushback from the Trump legal team. It would simply be

198
00:09:59,760 --> 00:10:02,520
Speaker 1: the side of the story, their entire side of the story.

199
00:10:02,520 --> 00:10:05,000
Speaker 1: And actually, I have personally learned the hard way covering

200
00:10:05,080 --> 00:10:06,960
Speaker 1: terrorism cases. I mean, if think about it, if you

201
00:10:07,000 --> 00:10:11,360
Speaker 1: read the Gretchen Whitmer just affidavit, you're like, oh my god, Chris,

202
00:10:11,480 --> 00:10:14,000
Speaker 1: a horrific kidnapping plot going on, And you're like, oh,

203
00:10:14,080 --> 00:10:15,960
Speaker 1: hold on a second, here and by the way, we

204
00:10:15,960 --> 00:10:17,880
Speaker 1: should cover that trial soon in terms of some of

205
00:10:17,880 --> 00:10:20,960
Speaker 1: the stuff that's coming out, even more so about FBI behavior.

206
00:10:21,000 --> 00:10:24,839
Speaker 1: But what's remarkable to me about this is just the admission,

207
00:10:25,200 --> 00:10:28,880
Speaker 1: both on the criminal investigation side and on the cooperating witness.

208
00:10:28,880 --> 00:10:30,880
Speaker 1: I think the fact that I think it was always

209
00:10:30,920 --> 00:10:33,760
Speaker 1: expected that they would not release the affidavit, but by

210
00:10:33,840 --> 00:10:36,880
Speaker 1: objecting to the affidavit and specifically saying why they don't

211
00:10:36,880 --> 00:10:38,800
Speaker 1: want to release it, that tells us a little bit

212
00:10:39,000 --> 00:10:41,840
Speaker 1: about what's happening. Also probably confirms honestly, I mean, at

213
00:10:41,840 --> 00:10:43,560
Speaker 1: this point, Christal, we don't know how much more is

214
00:10:43,600 --> 00:10:45,880
Speaker 1: going to come out about this investigation. Is this kind

215
00:10:45,880 --> 00:10:48,040
Speaker 1: of is it at least for the next couple of months,

216
00:10:48,320 --> 00:10:51,760
Speaker 1: barring leaks? Of course, I'm talking at a very official level. Probably.

217
00:10:52,600 --> 00:10:54,720
Speaker 1: There was one other piece of reporting I saw come

218
00:10:54,800 --> 00:10:57,720
Speaker 1: out yesterday from the Wall Street Journal that was in

219
00:10:57,800 --> 00:11:01,960
Speaker 1: direct contradiction to remember that original Newsweek report that basically

220
00:11:02,000 --> 00:11:04,880
Speaker 1: said this whole search was basically kind of a freelance

221
00:11:04,920 --> 00:11:08,760
Speaker 1: operation from the Miami FBI office, and they were kind

222
00:11:08,760 --> 00:11:10,400
Speaker 1: of in a bubble and didn't realize this would be

223
00:11:10,400 --> 00:11:14,880
Speaker 1: so politically explosive. Well, the latest information reporting from the

224
00:11:14,920 --> 00:11:17,600
Speaker 1: Wall Street Journal says no, no, no, they weighed this

225
00:11:17,920 --> 00:11:21,600
Speaker 1: very carefully. Merrick Garland weighed this for weeks before he

226
00:11:21,760 --> 00:11:25,559
Speaker 1: decided to go in, and you know, really considered the

227
00:11:25,920 --> 00:11:29,480
Speaker 1: costs and the benefits and the extraordinary measure that this was.

228
00:11:29,600 --> 00:11:33,760
Speaker 1: So you know, take from that what you will. But

229
00:11:34,000 --> 00:11:36,360
Speaker 1: the very latest indication, which I think is backed up

230
00:11:36,360 --> 00:11:38,320
Speaker 1: by the fact that Merrick Garland did give that press

231
00:11:38,360 --> 00:11:40,800
Speaker 1: conference saying taking ownership and saying no, it was I

232
00:11:40,960 --> 00:11:43,280
Speaker 1: was the one who made this decision. I think it

233
00:11:43,360 --> 00:11:47,000
Speaker 1: backs up, you know, that that fact and really shows

234
00:11:47,040 --> 00:11:50,880
Speaker 1: that they definitely thought long and hard before they went

235
00:11:50,960 --> 00:11:53,400
Speaker 1: ahead and did this. Whether you think it was ultimately

236
00:11:53,400 --> 00:11:55,440
Speaker 1: the right call or not, yeah, I think that that's right.

237
00:11:55,520 --> 00:11:59,640
Speaker 1: So anyway, lots of deliberation, confirmation about a so called

238
00:11:59,720 --> 00:12:04,040
Speaker 1: coop raating witness, the criminal investigation piece. Obviously, to be clear,

239
00:12:04,080 --> 00:12:06,520
Speaker 1: we don't actually know who the target of that criminal

240
00:12:06,559 --> 00:12:09,719
Speaker 1: investigation is. But anyway, take that. So now let's move

241
00:12:09,720 --> 00:12:11,920
Speaker 1: on to passport Gate. This has been a fun one,

242
00:12:12,000 --> 00:12:13,520
Speaker 1: all right, Let's go ahead and put this up there

243
00:12:13,800 --> 00:12:16,200
Speaker 1: on the screen. It was ignited by this truth that

244
00:12:16,240 --> 00:12:19,679
Speaker 1: the former president put out Wow. In the raid by

245
00:12:19,720 --> 00:12:23,000
Speaker 1: the FBI of mar A Lago, they stole my three passports,

246
00:12:23,040 --> 00:12:26,240
Speaker 1: one expired, along with everything else. This is an assault

247
00:12:26,320 --> 00:12:28,560
Speaker 1: on a political opponent at a level never seen before

248
00:12:28,559 --> 00:12:32,280
Speaker 1: in our country. Third world exclamation mark. Now why does

249
00:12:32,280 --> 00:12:34,880
Speaker 1: this matter? First of all, there was rampant speculation online

250
00:12:34,920 --> 00:12:38,080
Speaker 1: crystal of Oh my god, this means the Department of Justice. Thanks,

251
00:12:38,120 --> 00:12:42,199
Speaker 1: he's a flight risk. All of this charge of infinitely

252
00:12:42,320 --> 00:12:45,000
Speaker 1: stopping for leaving the country. No, that's not aw flight

253
00:12:45,080 --> 00:12:47,600
Speaker 1: risk work. Those actually are ordered by a judge. We

254
00:12:47,600 --> 00:12:50,280
Speaker 1: don't live in a country where the attorney general can

255
00:12:50,280 --> 00:12:53,319
Speaker 1: simply decide you don't get a passport or not. Thank god,

256
00:12:53,440 --> 00:12:55,880
Speaker 1: by the way, that we live in said country. Now,

257
00:12:56,120 --> 00:12:58,720
Speaker 1: it came to the question though, of did they actually

258
00:12:58,760 --> 00:13:02,480
Speaker 1: seize those passports? And immediately the FBI actually objected to this.

259
00:13:02,559 --> 00:13:05,040
Speaker 1: Let's throw this up there. Norah O'Donnell's she's the host

260
00:13:05,160 --> 00:13:08,400
Speaker 1: of CBS News, she says new. According to a DOJ official,

261
00:13:08,440 --> 00:13:10,920
Speaker 1: the FBI is not in possession of a former President

262
00:13:10,920 --> 00:13:13,920
Speaker 1: Trump's passports. Trump had accused the FBI of stealing his

263
00:13:14,000 --> 00:13:16,600
Speaker 1: three passports during the search of mar A Lago, so

264
00:13:16,760 --> 00:13:21,760
Speaker 1: immediately the narrative became, oh, Trump is lying about the passports.

265
00:13:21,960 --> 00:13:26,160
Speaker 1: Well further though, the Trump team has now released actually

266
00:13:26,240 --> 00:13:31,680
Speaker 1: the email correspondence between themselves and between the FBI team,

267
00:13:32,040 --> 00:13:34,319
Speaker 1: and let's go ahead and read it. So unfortunately we

268
00:13:34,360 --> 00:13:37,560
Speaker 1: don't have an element cut for everybody. But here's what

269
00:13:37,640 --> 00:13:41,360
Speaker 1: the email traffic gohead and says. This was sent August fifteenth,

270
00:13:41,520 --> 00:13:46,120
Speaker 1: to be clear, yesterday at ten fifty am Mountain time,

271
00:13:46,200 --> 00:13:48,840
Speaker 1: so you can do the conversion in your head, Evan

272
00:13:48,920 --> 00:13:51,240
Speaker 1: and Jim with This is from Jay Bratt at the

273
00:13:51,280 --> 00:13:53,440
Speaker 1: National Security Division of the Department of Justice and reading

274
00:13:53,440 --> 00:13:56,640
Speaker 1: directly Evan Jim, presumably members of Trump's legal team. We

275
00:13:56,679 --> 00:14:00,760
Speaker 1: have learned that Filter agencies three passports belonging to President Trump,

276
00:14:00,960 --> 00:14:04,800
Speaker 1: two expired and one being his active diplomatic passport. We

277
00:14:04,880 --> 00:14:06,920
Speaker 1: are returning them. They will be ready for pick up

278
00:14:06,920 --> 00:14:10,160
Speaker 1: at the Washington Field office at two pm today. I

279
00:14:10,200 --> 00:14:12,400
Speaker 1: am traveling, but you can coordinate further with Blank, who

280
00:14:12,440 --> 00:14:15,600
Speaker 1: is copied above. Thanks. So what do we learn from that? Yeah,

281
00:14:15,679 --> 00:14:17,840
Speaker 1: they did take his passports. They took all three of

282
00:14:17,880 --> 00:14:21,920
Speaker 1: his passports, as Trump claimed. Now they're offering them back. However,

283
00:14:22,040 --> 00:14:24,680
Speaker 1: it was very disingenuous Crystal of the FBI to say no,

284
00:14:24,680 --> 00:14:27,440
Speaker 1: no, no no, we don't have his passport. Stall. I mean

285
00:14:27,480 --> 00:14:30,480
Speaker 1: you took the guy's passports. Now, I mean, in some

286
00:14:30,560 --> 00:14:32,800
Speaker 1: ways you could say this is the system working. He's

287
00:14:32,800 --> 00:14:35,840
Speaker 1: so called filter agents. Their job and I don't really

288
00:14:35,920 --> 00:14:39,120
Speaker 1: understand how this is quasi legal, but whatever. Their job

289
00:14:39,240 --> 00:14:43,120
Speaker 1: is to basically sift through everything that's taken, determine what

290
00:14:43,280 --> 00:14:47,440
Speaker 1: is privileged and non pertinent information, and return that over

291
00:14:47,760 --> 00:14:51,840
Speaker 1: and then the investigative team is supposedly again supposedly not

292
00:14:51,960 --> 00:14:55,000
Speaker 1: allowed to use that information. I don't know. It seems

293
00:14:55,000 --> 00:14:57,240
Speaker 1: a little sketchy to me. That being said, they did

294
00:14:57,280 --> 00:14:59,920
Speaker 1: take the passport and then they did offer to return it,

295
00:15:00,080 --> 00:15:02,240
Speaker 1: so it's kind of a middle ground. But the fact

296
00:15:02,320 --> 00:15:04,960
Speaker 1: is they did take his passports, all three of his passports.

297
00:15:05,400 --> 00:15:07,400
Speaker 1: I should have picked up right away on the wave.

298
00:15:07,480 --> 00:15:10,560
Speaker 1: They freeze that so freaking weasily, yeah, it is we

299
00:15:10,600 --> 00:15:14,479
Speaker 1: are not in possession of the passports, which maybe technically

300
00:15:14,640 --> 00:15:16,760
Speaker 1: was true at that point because they'd already returned them.

301
00:15:17,160 --> 00:15:19,680
Speaker 1: But it's like, I don't know why they felt the

302
00:15:19,760 --> 00:15:22,240
Speaker 1: need to push back so strongly on this when it

303
00:15:22,320 --> 00:15:24,520
Speaker 1: is the case that they took them and then yeah,

304
00:15:24,560 --> 00:15:27,640
Speaker 1: that returned them, and it's all fine and good, I guess,

305
00:15:27,680 --> 00:15:30,320
Speaker 1: but I don't know very weasily on that fis part

306
00:15:30,360 --> 00:15:32,560
Speaker 1: I guess io. Oh absolutely, and look, I mean it

307
00:15:32,640 --> 00:15:35,680
Speaker 1: is extraordinary. It sees the former president's passports as they

308
00:15:35,720 --> 00:15:38,680
Speaker 1: actually alluded to. And I didn't know this. Apparently ex

309
00:15:38,760 --> 00:15:41,920
Speaker 1: presidents do get to keep diplomatic passports, which is fascinating

310
00:15:41,920 --> 00:15:45,600
Speaker 1: because they're not actually government figures. But uddenly everybody became

311
00:15:45,680 --> 00:15:49,120
Speaker 1: experts in like passport particle yesterday. After all I know

312
00:15:49,160 --> 00:15:51,520
Speaker 1: about digmatic passports is I get pissed off when I'm

313
00:15:51,520 --> 00:15:53,360
Speaker 1: in the immigration line and I see those people geld

314
00:15:53,440 --> 00:15:57,040
Speaker 1: zip through on the side. And apparently, as I understand it,

315
00:15:57,160 --> 00:16:00,160
Speaker 1: what it is is that diplomatic passport obviously means an

316
00:16:00,200 --> 00:16:03,119
Speaker 1: agent of the US government or you know, in some affiliation,

317
00:16:03,240 --> 00:16:05,800
Speaker 1: and thus your your travel and your visa and all that.

318
00:16:05,800 --> 00:16:08,160
Speaker 1: It's just a little bit different whenever you're going through

319
00:16:08,200 --> 00:16:11,000
Speaker 1: both security and also whenever you're entering other countries as

320
00:16:11,040 --> 00:16:13,720
Speaker 1: to your visa requirements. So apparently that's what it is.

321
00:16:13,760 --> 00:16:15,240
Speaker 1: I guess it would make sense it would apply to

322
00:16:15,280 --> 00:16:19,160
Speaker 1: a foreign president regardless of whether they were still in office.

323
00:16:19,240 --> 00:16:21,720
Speaker 1: Or not. But anyway, it is true that they did

324
00:16:21,720 --> 00:16:25,120
Speaker 1: take his passports. And look, I mean, they could just

325
00:16:25,120 --> 00:16:27,240
Speaker 1: justify it and say, as I did, it was like, well,

326
00:16:27,280 --> 00:16:28,920
Speaker 1: you know, the filter team took it and then we

327
00:16:29,000 --> 00:16:31,920
Speaker 1: gave it back and available whatever at the field office.

328
00:16:31,920 --> 00:16:34,080
Speaker 1: But I mean, personally, I think that they just tried

329
00:16:34,120 --> 00:16:36,840
Speaker 1: to quash the story and to spin things when they

330
00:16:36,840 --> 00:16:38,720
Speaker 1: should have just been upfront and told the truth. The

331
00:16:38,800 --> 00:16:42,160
Speaker 1: email traffic reveals clearly that they took the damn passports

332
00:16:42,280 --> 00:16:45,240
Speaker 1: and then offered it back. Okay, fine, just say that,

333
00:16:45,320 --> 00:16:48,600
Speaker 1: but you know, this was this was really a disingenuous

334
00:16:48,640 --> 00:16:50,400
Speaker 1: move on their part and also on the media for

335
00:16:50,480 --> 00:16:52,320
Speaker 1: not checking they should have. What they should have said

336
00:16:52,400 --> 00:16:54,640
Speaker 1: is well wait, hold on it. Did you ever have them?

337
00:16:56,160 --> 00:16:58,920
Speaker 1: Were they ever in your possession at any time? And

338
00:16:58,960 --> 00:17:01,960
Speaker 1: it's also little things like this that give the Trump

339
00:17:02,000 --> 00:17:04,399
Speaker 1: people real credence to be like, look like, these people

340
00:17:04,440 --> 00:17:06,680
Speaker 1: are liars. You know, they're spinning things in the media,

341
00:17:06,720 --> 00:17:09,000
Speaker 1: and the media doesn't ask critical question, which is true.

342
00:17:09,040 --> 00:17:11,119
Speaker 1: You should not give them. You can't give them a

343
00:17:11,160 --> 00:17:14,080
Speaker 1: single opening. Yeah, and they it they've done that. Now

344
00:17:14,160 --> 00:17:16,679
Speaker 1: they really have This is like, you know, class cample

345
00:17:16,720 --> 00:17:19,520
Speaker 1: of fake news. Yeah. Yeah, and the filter team thing

346
00:17:19,640 --> 00:17:24,040
Speaker 1: is really ulter relevant because you know, Trump's latest yesterday

347
00:17:24,040 --> 00:17:26,959
Speaker 1: went through all of his various defenses. You know, oh

348
00:17:27,000 --> 00:17:29,399
Speaker 1: they planted stuff. Oh no, there was stuff, but it

349
00:17:29,480 --> 00:17:32,159
Speaker 1: was not classified as we all take work home from

350
00:17:32,200 --> 00:17:35,359
Speaker 1: time to time. And one of the things he landed

351
00:17:35,400 --> 00:17:40,200
Speaker 1: on was they took privileged information, both attorney client privilege

352
00:17:40,240 --> 00:17:44,480
Speaker 1: and executive privileged information. Uh. Now, as others pointed out,

353
00:17:44,600 --> 00:17:46,320
Speaker 1: this is the way it works. These filter teams are

354
00:17:46,320 --> 00:17:48,680
Speaker 1: supposed to sift through and pull that stuff down and

355
00:17:48,720 --> 00:17:52,560
Speaker 1: then move forward with the investigatory relevant material. So I

356
00:17:52,600 --> 00:17:54,639
Speaker 1: guess this shows that, you know, those are the teams

357
00:17:54,640 --> 00:17:56,960
Speaker 1: that are in place to try to handle that sifting

358
00:17:57,040 --> 00:18:00,159
Speaker 1: and sorting. Yeah. So that's the very latest that we

359
00:18:00,240 --> 00:18:04,320
Speaker 1: know in terms of Trump. Oh there was one more

360
00:18:04,359 --> 00:18:07,400
Speaker 1: part more pardon prex news. He did give a little interview,

361
00:18:07,600 --> 00:18:11,000
Speaker 1: that's right. Sorry. So this is kind of funny because

362
00:18:11,520 --> 00:18:13,800
Speaker 1: there had been one line and another report for I

363
00:18:13,800 --> 00:18:15,360
Speaker 1: don't know, the New York Times or something that said

364
00:18:15,359 --> 00:18:19,080
Speaker 1: that he had, through an ally, uh given a message

365
00:18:19,119 --> 00:18:21,600
Speaker 1: to Merrick Garland and the Justice Department saying basically like

366
00:18:21,640 --> 00:18:23,560
Speaker 1: I would have turned the DOE butcher dob. Well, now

367
00:18:23,600 --> 00:18:26,439
Speaker 1: he's saying this to Fox News, Let's go ahead and

368
00:18:26,480 --> 00:18:29,640
Speaker 1: put this up on the screen. Trump. Here's the headline

369
00:18:29,680 --> 00:18:32,600
Speaker 1: from Fox News, very favorable headline. Here. Trump quotes, will

370
00:18:32,640 --> 00:18:35,320
Speaker 1: do whatever he can to help the country after FBI

371
00:18:35,440 --> 00:18:39,520
Speaker 1: rate temperature has to be brought down. He's, you know,

372
00:18:39,560 --> 00:18:42,280
Speaker 1: here's a little bit more. He says that American people

373
00:18:42,320 --> 00:18:44,560
Speaker 1: are not going to stand for this for another scam.

374
00:18:44,600 --> 00:18:47,359
Speaker 1: The country's in a very dangerous position. There's tremendous anger

375
00:18:47,400 --> 00:18:49,439
Speaker 1: like I've never seen before. Over all of the scams

376
00:18:49,440 --> 00:18:51,560
Speaker 1: and this new one. Years of scams and witch hunts

377
00:18:51,560 --> 00:18:54,280
Speaker 1: and now this. The country is in a very dangerous position.

378
00:18:54,440 --> 00:18:57,399
Speaker 1: There's tremendous anger like I've never seen before, over all

379
00:18:57,480 --> 00:18:59,520
Speaker 1: of the scams and this new one years of scams

380
00:18:59,560 --> 00:19:02,600
Speaker 1: and which is repetitive. People are so angry at what

381
00:19:02,720 --> 00:19:04,760
Speaker 1: is taking place. Whatever we can do to help, because

382
00:19:04,760 --> 00:19:06,879
Speaker 1: the temperature has to be brought down in the country.

383
00:19:06,920 --> 00:19:10,200
Speaker 1: If it isn't, terrible things are going to happen. Then

384
00:19:10,280 --> 00:19:13,160
Speaker 1: he goes on to make all sorts of inflammatory comments. Himself,

385
00:19:13,240 --> 00:19:15,840
Speaker 1: of course, continues to post all sorts of inflammatory stuff

386
00:19:15,880 --> 00:19:17,800
Speaker 1: on truth social So I don't think anyone should take

387
00:19:17,800 --> 00:19:20,480
Speaker 1: it face value, the idea that Donald J. Trump is

388
00:19:20,520 --> 00:19:23,040
Speaker 1: trying to turn the temperature down in this country, because

389
00:19:23,040 --> 00:19:26,119
Speaker 1: that is just not what he does ever in any

390
00:19:26,160 --> 00:19:31,200
Speaker 1: instance in his entire life. So given that fact, I mean,

391
00:19:31,280 --> 00:19:34,320
Speaker 1: I guess this is like a version of another defense,

392
00:19:34,480 --> 00:19:37,240
Speaker 1: basically like, you shouldn't go after me because the country

393
00:19:37,320 --> 00:19:40,960
Speaker 1: can't take it. Regardless of whether there was wrongdoing, regardless

394
00:19:40,960 --> 00:19:43,159
Speaker 1: of what you found at Mara a Lago, whether it

395
00:19:43,200 --> 00:19:46,399
Speaker 1: was classified or not, or sensitive national security information or not,

396
00:19:46,760 --> 00:19:49,399
Speaker 1: you shouldn't go after me because the country is a

397
00:19:49,400 --> 00:19:52,680
Speaker 1: tinderbox and it just can't take it. So it's almost

398
00:19:52,720 --> 00:19:55,240
Speaker 1: sort of like a veiled threat of if you continue

399
00:19:55,280 --> 00:19:57,119
Speaker 1: down this path, bad things are going to happen. I

400
00:19:57,160 --> 00:19:59,920
Speaker 1: also read it another way, which is that he saw

401
00:20:00,119 --> 00:20:01,960
Speaker 1: what happened at the FBI and he's like, I don't

402
00:20:01,960 --> 00:20:04,160
Speaker 1: want this on me. He's like, I don't want any

403
00:20:04,240 --> 00:20:07,359
Speaker 1: of these incidents to actually be traced back to me, because,

404
00:20:07,400 --> 00:20:10,520
Speaker 1: as you've seen post January sixth, it can cause you

405
00:20:10,600 --> 00:20:13,840
Speaker 1: some serious issues, not only from a criminal investigation point

406
00:20:13,840 --> 00:20:17,240
Speaker 1: of view, obviously, also from a public hit perspective and

407
00:20:17,520 --> 00:20:20,920
Speaker 1: just you know, basic expansion of security state and more

408
00:20:20,960 --> 00:20:23,400
Speaker 1: against his own supporters, which has really been a net

409
00:20:23,440 --> 00:20:26,280
Speaker 1: negative for literally everybody. So I think you can read

410
00:20:26,280 --> 00:20:28,160
Speaker 1: it literally both ways. I think you're right, though, Crystal.

411
00:20:28,280 --> 00:20:30,560
Speaker 1: I mean, certainly, look, anybody who's in a public position

412
00:20:30,640 --> 00:20:31,840
Speaker 1: is gonna be like, hey, you really want to go

413
00:20:31,880 --> 00:20:34,679
Speaker 1: down this road. So anyway, I think on both sides,

414
00:20:34,720 --> 00:20:37,440
Speaker 1: like he both is using his personal profile, but also

415
00:20:38,200 --> 00:20:41,280
Speaker 1: it's probably weary of being tied to any more violence

416
00:20:41,520 --> 00:20:43,600
Speaker 1: across the country, which look, that is not a bad thing.

417
00:20:43,920 --> 00:20:46,359
Speaker 1: If he does have that in his head, let's move on.

418
00:20:46,400 --> 00:20:48,919
Speaker 1: Then there was there was one little nugget at the

419
00:20:49,000 --> 00:20:51,200
Speaker 1: end of this interview though that I wanted to take

420
00:20:51,280 --> 00:20:53,400
Speaker 1: note of, which is they say sources close to Trump

421
00:20:53,440 --> 00:20:55,560
Speaker 1: told Fox News the former president will soon be making

422
00:20:55,560 --> 00:20:58,400
Speaker 1: an announcement about a potential presidential run in twenty twenty four.

423
00:20:58,840 --> 00:21:02,280
Speaker 1: We had before talked about speculation that he may move

424
00:21:02,400 --> 00:21:05,480
Speaker 1: up his announcement. We covered yesterday the polls that show

425
00:21:05,520 --> 00:21:08,200
Speaker 1: basically his position with the GOP base has never been better,

426
00:21:08,280 --> 00:21:11,480
Speaker 1: never been stronger since he lost the last election, and

427
00:21:11,560 --> 00:21:15,760
Speaker 1: so he could potentially announce before the midterms, you know,

428
00:21:15,840 --> 00:21:20,119
Speaker 1: maybe post Labor Day, which I'm quite sure that Republicans

429
00:21:20,200 --> 00:21:22,680
Speaker 1: wanting to take control of the House and Senate do

430
00:21:22,760 --> 00:21:26,800
Speaker 1: not want whatsoever. He doesn't care. He definitely doesn't care.

431
00:21:27,119 --> 00:21:30,160
Speaker 1: The last thing that they want is for this midterm

432
00:21:30,160 --> 00:21:34,640
Speaker 1: election to be any sort of referendum on Trump versus Biden.

433
00:21:34,880 --> 00:21:38,040
Speaker 1: They wanted to just be about Biden, just about inflation.

434
00:21:38,600 --> 00:21:42,200
Speaker 1: So him inserting himself into the political freight just before

435
00:21:42,200 --> 00:21:45,480
Speaker 1: the midterms could be another sort of disaster for them,

436
00:21:45,560 --> 00:21:48,480
Speaker 1: for the National GOP. Yes, for his own personal profile,

437
00:21:48,520 --> 00:21:50,919
Speaker 1: he'd be a full It's probably wise. Yeah, agree, I

438
00:21:50,920 --> 00:21:53,360
Speaker 1: think he should do it. He should have done it

439
00:21:53,400 --> 00:21:56,440
Speaker 1: two days ago, the moment that Glenn Youngkin and Ron

440
00:21:56,480 --> 00:21:58,960
Speaker 1: DeSantis are all coming to his defense. He should have been, like,

441
00:21:59,000 --> 00:22:02,520
Speaker 1: I am the twenty twenty nominee, freezy entire thing in place.

442
00:22:02,720 --> 00:22:05,359
Speaker 1: They none of them have any standing to run against him.

443
00:22:05,400 --> 00:22:07,399
Speaker 1: So Leah, look, I mean, it's one of those cases

444
00:22:07,400 --> 00:22:10,560
Speaker 1: where the National GOP and their fate is not tied

445
00:22:10,840 --> 00:22:14,439
Speaker 1: with Trump's own personal incentives whatsoever. Yeah, Longera waits frankly

446
00:22:14,520 --> 00:22:16,760
Speaker 1: is doing himself a disservice. I am not saying this

447
00:22:16,800 --> 00:22:21,040
Speaker 1: as somebody's advocating for it. Yeah, just analytically analysis of

448
00:22:21,119 --> 00:22:23,200
Speaker 1: what the what the facts are at this point. Okay,

449
00:22:23,280 --> 00:22:26,840
Speaker 1: so moving a little bit away from directly Trump and

450
00:22:26,880 --> 00:22:29,440
Speaker 1: some of the people surrounding Trump, there was also a

451
00:22:29,440 --> 00:22:32,040
Speaker 1: lot of news that broke yesterday. Let's put this first

452
00:22:32,040 --> 00:22:34,399
Speaker 1: piece up on the screen. This is probably the biggest one.

453
00:22:34,880 --> 00:22:39,880
Speaker 1: Rudy Giuliani, mister mayor, former America's mayor. He has been

454
00:22:39,880 --> 00:22:43,719
Speaker 1: told that he is a target of the Trump election

455
00:22:43,920 --> 00:22:48,359
Speaker 1: inquiry in Georgia. Now you will recall we have a

456
00:22:48,480 --> 00:22:52,080
Speaker 1: number of Trump related investigations going on across the country.

457
00:22:52,080 --> 00:22:53,680
Speaker 1: We of course have the one we know about now

458
00:22:53,720 --> 00:22:55,760
Speaker 1: that's associated with the raid down in mar A Lago.

459
00:22:56,080 --> 00:22:59,160
Speaker 1: We have grand juries here in DC, we have Letitia

460
00:22:59,240 --> 00:23:02,879
Speaker 1: James in a civil civil action in New York investigating

461
00:23:02,880 --> 00:23:07,719
Speaker 1: his businesses. And we have this inquiry in Fulton County, Georgia,

462
00:23:07,760 --> 00:23:10,560
Speaker 1: which also has a grand jury and paneled and has

463
00:23:10,680 --> 00:23:14,000
Speaker 1: been subpoenaing witnesses. We talked to film merker yesterday who's

464
00:23:14,000 --> 00:23:16,320
Speaker 1: going to go testify in front of them, and we

465
00:23:16,440 --> 00:23:19,960
Speaker 1: already knew from reporting that it seemed like they were

466
00:23:20,119 --> 00:23:24,000
Speaker 1: very interested in what Rudy Giuliani had to say about

467
00:23:24,000 --> 00:23:27,920
Speaker 1: and had to do with the fake elector scheme in Georgia.

468
00:23:28,440 --> 00:23:32,520
Speaker 1: Now we are getting official confirmation that he has been told,

469
00:23:32,520 --> 00:23:34,960
Speaker 1: as lawyers have been informed, that he is in fact

470
00:23:35,040 --> 00:23:38,480
Speaker 1: a direct target of that investigation. Let me read you

471
00:23:38,520 --> 00:23:41,440
Speaker 1: a little bit of this New York Times piece. They

472
00:23:41,480 --> 00:23:43,800
Speaker 1: say that the legal pressures on Donald Trump and his

473
00:23:43,840 --> 00:23:47,480
Speaker 1: closest allies intensive fied further. On Monday's prosecutors informed his

474
00:23:47,560 --> 00:23:50,960
Speaker 1: former personal attorney, Rudy Giuliani, that he is a target

475
00:23:51,000 --> 00:23:55,080
Speaker 1: of a wide rangeing criminal investigation into election interference in Georgia.

476
00:23:55,200 --> 00:23:59,800
Speaker 1: Now important to note, just being so identified doesn't guarantee

477
00:24:00,080 --> 00:24:02,439
Speaker 1: that a person will be indicted, though you wouldn't want

478
00:24:02,480 --> 00:24:04,560
Speaker 1: to be in that person's shoes. Rather, it usually means

479
00:24:04,560 --> 00:24:08,080
Speaker 1: the prosecutors believe an indictment is possible based on evidence

480
00:24:08,119 --> 00:24:10,919
Speaker 1: they have seen up to that point. They go on

481
00:24:11,000 --> 00:24:14,560
Speaker 1: to talk about how the prosecutors who were questing witnesses

482
00:24:14,640 --> 00:24:19,840
Speaker 1: last week, they really focused on Giuliani's appearances before state

483
00:24:19,960 --> 00:24:23,760
Speaker 1: legislative panels after the twenty twenty vote. The crux of

484
00:24:23,760 --> 00:24:26,919
Speaker 1: his conduct came during two hearings at that time. He

485
00:24:26,960 --> 00:24:29,400
Speaker 1: appeared before those panels. He spent hours, as they say,

486
00:24:29,400 --> 00:24:32,960
Speaker 1: at peddling false conspiracy theories about secret suitcases of democratic

487
00:24:33,000 --> 00:24:36,199
Speaker 1: ballots and corrupted voting machines. And he told members of

488
00:24:36,240 --> 00:24:40,400
Speaker 1: the State House, quote, you cannot possibly certify Georgia in

489
00:24:40,480 --> 00:24:44,640
Speaker 1: good faith. Now, his lawyer, just to give his response,

490
00:24:44,720 --> 00:24:48,679
Speaker 1: said that he would probably invoke intorneing client privilege if

491
00:24:48,680 --> 00:24:51,280
Speaker 1: he was asked about questions about his dealings with Trump,

492
00:24:51,600 --> 00:24:53,320
Speaker 1: and he says, if these people think he's going to

493
00:24:53,359 --> 00:24:57,560
Speaker 1: talk about conversations between him and President Trump, they are delusional.

494
00:24:58,680 --> 00:25:02,000
Speaker 1: One expert that they I spoke to really thought that,

495
00:25:02,320 --> 00:25:05,000
Speaker 1: you know, this could potentially mean that Trump will eventually

496
00:25:05,040 --> 00:25:07,320
Speaker 1: be a target of this investigation as well. They say,

497
00:25:07,320 --> 00:25:09,800
Speaker 1: there's no way Juliani is a target of the DA's

498
00:25:09,840 --> 00:25:12,040
Speaker 1: investigation and Trump does not end up as one. They

499
00:25:12,080 --> 00:25:14,800
Speaker 1: are simply too entangled factually and legally in the attempt

500
00:25:14,840 --> 00:25:17,679
Speaker 1: to use fake electors and other means to overturn the

501
00:25:17,720 --> 00:25:21,040
Speaker 1: Georgia election results. Obviously I'm not a lawyer, but that

502
00:25:21,160 --> 00:25:23,600
Speaker 1: makes some logical sense to me. I mean, Giuliani wasn't

503
00:25:23,600 --> 00:25:25,719
Speaker 1: acting on his own bave, he was acting on behalf

504
00:25:25,760 --> 00:25:28,879
Speaker 1: of the president, so you could see him being you know,

505
00:25:28,920 --> 00:25:30,320
Speaker 1: what they try to do in a lot of these

506
00:25:30,400 --> 00:25:32,359
Speaker 1: cases is they go for the person that they know,

507
00:25:32,680 --> 00:25:34,600
Speaker 1: you know, they can get based on the facts, and

508
00:25:34,640 --> 00:25:36,600
Speaker 1: then they try to get them to flip and cooperate

509
00:25:37,080 --> 00:25:38,960
Speaker 1: on some sort of a plea deal to go ahead

510
00:25:38,960 --> 00:25:41,320
Speaker 1: and inform on you know, the person next up the chain.

511
00:25:41,440 --> 00:25:44,399
Speaker 1: So it could be that that is the direction that

512
00:25:44,440 --> 00:25:47,800
Speaker 1: they're going in here. But you know, I reference before

513
00:25:47,920 --> 00:25:50,800
Speaker 1: former Attorney General Eric Holder had mentioned he thought this

514
00:25:50,920 --> 00:25:54,600
Speaker 1: investigation was the furthest along and the fact that they

515
00:25:54,600 --> 00:25:57,200
Speaker 1: are now informing Giuliani he's the target, I think sort

516
00:25:57,240 --> 00:25:59,040
Speaker 1: of squares with what he was saying there. Well, I

517
00:25:59,040 --> 00:26:01,159
Speaker 1: think the crazy thing that they actually point to is,

518
00:26:01,200 --> 00:26:03,320
Speaker 1: and we're going to discuss this even more, is the

519
00:26:03,480 --> 00:26:07,000
Speaker 1: seizure of documents and analyzing of documents by the Trump

520
00:26:07,000 --> 00:26:11,720
Speaker 1: team of actually sensitive election data, specifically involving this one

521
00:26:11,800 --> 00:26:16,199
Speaker 1: county in Georgia, Coffee County count in Georgia, where election

522
00:26:16,400 --> 00:26:19,520
Speaker 1: infrastructure apparently and again this is through emails and texts

523
00:26:19,680 --> 00:26:23,880
Speaker 1: that the Georgia Justice Department has got their hands on,

524
00:26:24,200 --> 00:26:28,240
Speaker 1: was actually confirmation that this county's electoral system had been

525
00:26:28,840 --> 00:26:32,919
Speaker 1: breached by an unauthorized outside group. Now who that group is?

526
00:26:33,240 --> 00:26:35,840
Speaker 1: Who they were working for who they can be tied to.

527
00:26:36,160 --> 00:26:38,159
Speaker 1: We have no idea. I'm going to go out on

528
00:26:38,200 --> 00:26:40,600
Speaker 1: a limb and guess that it involves Rudy Giuliani and

529
00:26:40,640 --> 00:26:44,080
Speaker 1: Sidney Powell and whoever that oversized CEO is. I forget

530
00:26:44,119 --> 00:26:49,200
Speaker 1: who that guy is, Patrick something. He's like a multi Mlyndell.

531
00:26:49,840 --> 00:26:53,800
Speaker 1: This circle the people, the craziest folks that Giuliani and

532
00:26:53,880 --> 00:26:57,160
Speaker 1: Trump both not only aligned but elevated at the very

533
00:26:57,200 --> 00:26:59,439
Speaker 1: top of this campaign. So I think that's going to

534
00:26:59,440 --> 00:27:01,320
Speaker 1: be the bggest problem that they have. And also it

535
00:27:01,400 --> 00:27:04,000
Speaker 1: Ensnare is a hell of a lot of other lawmakers.

536
00:27:04,000 --> 00:27:06,080
Speaker 1: So this next one up there on the screen, which

537
00:27:06,160 --> 00:27:08,240
Speaker 1: is that Lindsay Graham is actually going to be forced

538
00:27:08,440 --> 00:27:14,679
Speaker 1: to at least testify or sorry, he was subpoenaed by Georgia.

539
00:27:14,760 --> 00:27:17,880
Speaker 1: He sought to get the Fulton County District Attorney subpoena

540
00:27:18,119 --> 00:27:20,879
Speaker 1: quashed by a federal judge. They actually denied that and

541
00:27:20,920 --> 00:27:23,800
Speaker 1: said that Senator Graham had to have testimony on issues

542
00:27:23,840 --> 00:27:27,200
Speaker 1: relating to attempts to influence or disrupt the lawful administration

543
00:27:27,280 --> 00:27:30,080
Speaker 1: of George's twenty twenty elections. So I do think you're

544
00:27:30,160 --> 00:27:32,760
Speaker 1: right Crystal, which is that all of these lawmakers and

545
00:27:32,800 --> 00:27:35,560
Speaker 1: others who played footsie with Trump, maybe even made a

546
00:27:35,600 --> 00:27:38,639
Speaker 1: call or two on his behalf, even entertained any of

547
00:27:38,720 --> 00:27:41,720
Speaker 1: these discussions with Sidney Powell or with Lynn Wood or

548
00:27:41,720 --> 00:27:43,560
Speaker 1: any of these other folks. I think they're going to

549
00:27:43,600 --> 00:27:46,560
Speaker 1: have some serious legal issues, like beyond being even charged.

550
00:27:46,640 --> 00:27:49,000
Speaker 1: Like they're going to have issues just like mull. I mean,

551
00:27:49,080 --> 00:27:51,600
Speaker 1: you know, it cost thousands of dollars to testify before

552
00:27:51,600 --> 00:27:55,720
Speaker 1: these lawyers, minimize your lee exposure, obviously guarantee a press story.

553
00:27:55,800 --> 00:27:57,520
Speaker 1: So I think that's very much what the future is looking.

554
00:27:57,600 --> 00:27:58,800
Speaker 1: And you don't have Trump in the White House to

555
00:27:58,800 --> 00:28:01,320
Speaker 1: beg for a pardon anymore, you know, so you know,

556
00:28:01,359 --> 00:28:03,200
Speaker 1: you don't have a legal get out of jail free

557
00:28:03,240 --> 00:28:05,640
Speaker 1: card like they did when the Big Guy was there

558
00:28:06,480 --> 00:28:10,640
Speaker 1: in the presidency looking out for him. Graham has been

559
00:28:10,680 --> 00:28:13,639
Speaker 1: informed he is not a target of this investigation, so

560
00:28:13,880 --> 00:28:18,400
Speaker 1: unlike Giuliani, it's not like he's facing criminal indictment potential

561
00:28:18,400 --> 00:28:22,520
Speaker 1: criminal indictment. What they want to ask him about, according

562
00:28:22,560 --> 00:28:25,840
Speaker 1: to the reporting, is he placed at least two phone

563
00:28:25,880 --> 00:28:29,000
Speaker 1: calls to Georgia Secretary of State Brad Rothensberger and members

564
00:28:29,000 --> 00:28:33,320
Speaker 1: of his staff in the weeks following the election, seeking quote,

565
00:28:33,359 --> 00:28:36,879
Speaker 1: additional review of the absentee ballots. According to court documents

566
00:28:36,920 --> 00:28:41,440
Speaker 1: filid support of the subpoena request. Now, apparently this isn't

567
00:28:41,480 --> 00:28:43,360
Speaker 1: the end of the legal road in terms of Graham

568
00:28:43,360 --> 00:28:47,040
Speaker 1: trying to avoid having to testify. He can't appeal this decision,

569
00:28:47,080 --> 00:28:50,000
Speaker 1: and he has further, I guess appeals that he can exhaust,

570
00:28:50,040 --> 00:28:53,120
Speaker 1: and they're going to continue to fight this. Basically, their

571
00:28:53,280 --> 00:28:56,120
Speaker 1: argument is that you know, this was him doing his

572
00:28:56,200 --> 00:28:59,200
Speaker 1: job as a senator, as you know, the ranking member

573
00:28:59,240 --> 00:29:01,600
Speaker 1: on that said that you do Sharry Committee, and that

574
00:29:01,680 --> 00:29:04,400
Speaker 1: you can't compel him to testify about the work that

575
00:29:04,440 --> 00:29:06,720
Speaker 1: he was doing on behalf of the people is effectively

576
00:29:06,760 --> 00:29:09,440
Speaker 1: their legal argument that so far the federal courts have

577
00:29:09,520 --> 00:29:14,120
Speaker 1: not been impressed by You also have apparently prosecutors demanding

578
00:29:14,160 --> 00:29:16,760
Speaker 1: two other lawyers for the Trump team, Jenna Ellis and

579
00:29:16,840 --> 00:29:19,800
Speaker 1: John Eastman. They also want them to appear before the

580
00:29:19,800 --> 00:29:22,600
Speaker 1: special grand jury as well. So we keep my eye

581
00:29:22,640 --> 00:29:26,520
Speaker 1: on this particular investigation down in Georgia, which seems to

582
00:29:26,560 --> 00:29:30,719
Speaker 1: be you know, fairly advanced, fairly far along and you know,

583
00:29:31,520 --> 00:29:33,960
Speaker 1: zeroing in on a couple targets, whether it ends up

584
00:29:33,960 --> 00:29:38,000
Speaker 1: with the presence in their sites or not. Next piece,

585
00:29:38,080 --> 00:29:41,560
Speaker 1: which is related, was a big, old, long story in

586
00:29:41,600 --> 00:29:45,120
Speaker 1: the Washington Post about how Trump allied lawyers, some of

587
00:29:45,120 --> 00:29:49,840
Speaker 1: which we just mentioned, pursued voting machine data in multiple states.

588
00:29:49,880 --> 00:29:51,840
Speaker 1: Let's go ahead and put this Washington Post story up

589
00:29:51,840 --> 00:29:55,600
Speaker 1: on the screen here. This is some new reporting. I

590
00:29:55,600 --> 00:29:57,959
Speaker 1: think we had some indications before that they had been

591
00:29:58,040 --> 00:30:01,280
Speaker 1: able to access voting to stems in a couple of places,

592
00:30:01,280 --> 00:30:04,120
Speaker 1: but this is the most comprehensive and fulsome picture we

593
00:30:04,160 --> 00:30:09,000
Speaker 1: have of the activities Sydney Pal intimately involved in this

594
00:30:09,080 --> 00:30:13,600
Speaker 1: whole sort of convoluted scheme. Here's the lead to their story.

595
00:30:13,640 --> 00:30:15,880
Speaker 1: They say a team of computer experts, directed by lawyers

596
00:30:15,880 --> 00:30:20,280
Speaker 1: allied with President Trump, copied sensitive data from election systems

597
00:30:20,320 --> 00:30:23,360
Speaker 1: in Georgia, Coffee County and Soccer mentioned before as part

598
00:30:23,400 --> 00:30:27,120
Speaker 1: of a secretive multi state effort to access voting equipment

599
00:30:27,440 --> 00:30:32,160
Speaker 1: that was broader, more organized, and more successful than previously reported.

600
00:30:32,160 --> 00:30:34,480
Speaker 1: That's according to emails and other records obtained by The

601
00:30:34,560 --> 00:30:37,520
Speaker 1: Washington Post. As they worked to overturn Trump's election defeat,

602
00:30:37,520 --> 00:30:40,520
Speaker 1: the lawyers asked a forensic data firm to access county

603
00:30:40,560 --> 00:30:44,320
Speaker 1: election systems in at least three battleground states. According to

604
00:30:44,360 --> 00:30:47,520
Speaker 1: the documents and interviews, firm charge and up front retainer

605
00:30:47,560 --> 00:30:49,560
Speaker 1: fee for each job, which in one case was twenty

606
00:30:49,560 --> 00:30:52,080
Speaker 1: six thousand dollars. Just to give you a sample of

607
00:30:52,120 --> 00:30:54,480
Speaker 1: the type of behavior they were engaged in. Here they

608
00:30:54,520 --> 00:30:57,000
Speaker 1: say Sydney pal sent that team to Michigan to copy

609
00:30:57,040 --> 00:31:00,400
Speaker 1: a rural county's election data. She later helped to range

610
00:31:00,400 --> 00:31:02,680
Speaker 1: for it to do the same in the Detroit area.

611
00:31:03,080 --> 00:31:05,920
Speaker 1: Trump campaign attorney engaged the team to travel to Nevada,

612
00:31:06,280 --> 00:31:08,520
Speaker 1: and the day after the January sixth attack on the capital,

613
00:31:08,560 --> 00:31:10,840
Speaker 1: the team was in southern Georgia copping data from a

614
00:31:10,880 --> 00:31:15,040
Speaker 1: dominion voting system in rural Coffee County. Because the people

615
00:31:15,080 --> 00:31:18,440
Speaker 1: who are involved indministering the elections in Coffee County were

616
00:31:18,640 --> 00:31:22,880
Speaker 1: sympathetic to the cause, they basically got access to everything.

617
00:31:22,920 --> 00:31:24,920
Speaker 1: And so you have the irony of these people who

618
00:31:24,920 --> 00:31:27,480
Speaker 1: claimed to be out there, you know, fighting the stopping

619
00:31:27,520 --> 00:31:32,640
Speaker 1: the steal and stopping the election fraud, actually compromising sensitive

620
00:31:33,280 --> 00:31:37,520
Speaker 1: election systems and voting data and gaining access to this

621
00:31:37,680 --> 00:31:41,320
Speaker 1: voting data in a way that is highly questionable. At Besso.

622
00:31:41,480 --> 00:31:44,640
Speaker 1: This is another piece of the story that we're just

623
00:31:44,640 --> 00:31:47,080
Speaker 1: just starting to fall into place that could be also

624
00:31:47,200 --> 00:31:50,200
Speaker 1: relevant to this Georgian correct I've done I forget where

625
00:31:50,200 --> 00:31:52,040
Speaker 1: I did the monologue. It might have been rising, it

626
00:31:52,080 --> 00:31:54,920
Speaker 1: might have been here, probably here about Arizona, and like

627
00:31:54,960 --> 00:31:58,160
Speaker 1: this post audit and how actually the audit ended up

628
00:31:58,160 --> 00:32:03,960
Speaker 1: compromising right, thousands voting machines, sanity, the same thing, the

629
00:32:04,040 --> 00:32:05,720
Speaker 1: you know, the even point to the fact this is

630
00:32:05,800 --> 00:32:08,520
Speaker 1: serious business. There's a Republican Tina Peters. She was a

631
00:32:08,520 --> 00:32:13,520
Speaker 1: local election figure in Mesa County, Colorado. She was indicted

632
00:32:13,560 --> 00:32:17,680
Speaker 1: on a felony conspiracy charge and commit a conspiracy to

633
00:32:17,720 --> 00:32:21,719
Speaker 1: commit criminal impersonation and attempting to influence a public servant

634
00:32:22,040 --> 00:32:25,880
Speaker 1: by trying to get access to these rural election data.

635
00:32:25,920 --> 00:32:29,320
Speaker 1: And all of this again, all of this is based

636
00:32:29,440 --> 00:32:34,840
Speaker 1: on the insane claims that dominion voting systems and that

637
00:32:35,120 --> 00:32:39,360
Speaker 1: you know, bamboo ballots and Cubans and you know, Chinese

638
00:32:39,880 --> 00:32:45,240
Speaker 1: operatives and Italians were influencing the vote in Coffee County, Georgia.

639
00:32:45,760 --> 00:32:48,800
Speaker 1: Once again, it has nothing to do with oh well,

640
00:32:48,840 --> 00:32:51,480
Speaker 1: big tech and Mark Zuckerberg. No, it doesn't have anything

641
00:32:51,520 --> 00:32:52,880
Speaker 1: to do with that. It doesn't have anything to do

642
00:32:52,920 --> 00:32:56,400
Speaker 1: with Pennsylvania election law and mail in balloting, It doesn't

643
00:32:56,400 --> 00:32:59,200
Speaker 1: have anything to do with ballot drop boxes. It has

644
00:32:59,200 --> 00:33:02,240
Speaker 1: to do with the actual physical claim that the twenty

645
00:33:02,280 --> 00:33:07,560
Speaker 1: twenty election was purposefully manipulated at the actual individual data

646
00:33:07,800 --> 00:33:12,120
Speaker 1: level in these corrupt voting machines. That is the level

647
00:33:12,520 --> 00:33:16,960
Speaker 1: of insanity of which the actions were taken upon which, look,

648
00:33:17,400 --> 00:33:19,400
Speaker 1: I mean many people said it at the time too,

649
00:33:19,480 --> 00:33:21,560
Speaker 1: It's like this, you need to be careful because you're

650
00:33:21,560 --> 00:33:24,640
Speaker 1: dealing with some of the most nations critical election infrastructure,

651
00:33:24,760 --> 00:33:27,200
Speaker 1: and by claiming stop the steal and trying to prove

652
00:33:27,440 --> 00:33:29,680
Speaker 1: your insane theories, I mean, I guess in a way

653
00:33:30,000 --> 00:33:31,760
Speaker 1: they did believe it because they were willing to go

654
00:33:31,800 --> 00:33:34,400
Speaker 1: to possibly criminal lengths in order to do so. They

655
00:33:34,520 --> 00:33:38,640
Speaker 1: opened themselves up to extraordinary legal jeopardy. And that seems

656
00:33:38,680 --> 00:33:40,560
Speaker 1: to be the case. Yeah, a state by state. You know,

657
00:33:40,600 --> 00:33:43,840
Speaker 1: this isn't even a federal case. Yeah, no, that's exactly right.

658
00:33:43,920 --> 00:33:46,120
Speaker 1: I think that's actually a really good way to put it. Is.

659
00:33:46,560 --> 00:33:49,400
Speaker 1: What we're talking about here is the most insane of

660
00:33:49,440 --> 00:33:52,400
Speaker 1: the election conspiracies. I mean, after the fact, they've tried

661
00:33:52,440 --> 00:33:54,400
Speaker 1: to sort of clean it up, and you know, Dinesh

662
00:33:54,440 --> 00:33:57,080
Speaker 1: de sus have put out his effort with the mules

663
00:33:57,120 --> 00:33:59,160
Speaker 1: and all this stuff to make it seem somewhat more

664
00:33:59,200 --> 00:34:02,880
Speaker 1: plausible than like, you know, dead Venezuelan dictators and Italian

665
00:34:02,960 --> 00:34:06,880
Speaker 1: whatever spy satellites and whatever other insanity they were floating

666
00:34:06,880 --> 00:34:09,879
Speaker 1: at the time. But these efforts at Sidney Powell and

667
00:34:10,040 --> 00:34:14,200
Speaker 1: Rudy Giuliani and the others were engaged with were directly

668
00:34:14,239 --> 00:34:18,319
Speaker 1: as a result of the craziest, most unhinged versions of

669
00:34:18,440 --> 00:34:22,239
Speaker 1: these conspiracy theories. We have one more legal update for

670
00:34:22,320 --> 00:34:25,279
Speaker 1: you here, guys, which is another White House lawyer that

671
00:34:25,320 --> 00:34:27,040
Speaker 1: was subpoena. Let's go ahead and put this up on

672
00:34:27,080 --> 00:34:31,520
Speaker 1: the screen. So Eric Hirshman, the Justice Department has subpoenaed him.

673
00:34:31,560 --> 00:34:33,960
Speaker 1: He was a former Trump White House lawyer. He has

674
00:34:34,080 --> 00:34:39,360
Speaker 1: also been cooperating with the January sixth Committee. He reportedly

675
00:34:39,600 --> 00:34:41,680
Speaker 1: was one of the people who was clashing with the

676
00:34:41,880 --> 00:34:44,720
Speaker 1: more insane people like the Sidney Powells of the world,

677
00:34:44,880 --> 00:34:47,280
Speaker 1: who pushed the defeated president to fight the election results.

678
00:34:47,320 --> 00:34:50,160
Speaker 1: He was present for many of the most consequential meetings

679
00:34:50,160 --> 00:34:53,000
Speaker 1: in that period of time. Among them, they say was

680
00:34:53,000 --> 00:34:54,959
Speaker 1: a high stakes meeting where most of the Trump Justice

681
00:34:54,960 --> 00:34:57,680
Speaker 1: Department's top brass threatened to resign rather than work under

682
00:34:57,680 --> 00:35:00,880
Speaker 1: a colleague who wanted to advance spurious claim of widespread

683
00:35:00,960 --> 00:35:04,000
Speaker 1: voter fraud. They say he sparred with Sidney pal and

684
00:35:04,040 --> 00:35:06,839
Speaker 1: Michael Flynn when they urged Trump to have the military

685
00:35:07,120 --> 00:35:10,200
Speaker 1: sees voting machines, and I remember that when that all

686
00:35:10,680 --> 00:35:13,600
Speaker 1: came out in the press as well. So they say

687
00:35:13,640 --> 00:35:17,040
Speaker 1: he represented Trump in the former presidence first impeachment trial

688
00:35:17,080 --> 00:35:18,960
Speaker 1: you might remember him from that, later joined the White

689
00:35:19,000 --> 00:35:21,080
Speaker 1: House as a senior advisor, did not work in the

690
00:35:21,080 --> 00:35:23,840
Speaker 1: White House Council's office, but did provide Trump with legal advice,

691
00:35:24,160 --> 00:35:26,960
Speaker 1: And because of that responsibility, there will likely be litigation

692
00:35:27,040 --> 00:35:29,720
Speaker 1: over the scope of the subpoena and over how executive

693
00:35:29,760 --> 00:35:32,800
Speaker 1: and attorney client privileges may limit his ability to comply.

694
00:35:33,719 --> 00:35:38,120
Speaker 1: Just another indicator of another person who grand jury is

695
00:35:38,160 --> 00:35:43,120
Speaker 1: wanting to question and who is has a lot of

696
00:35:43,160 --> 00:35:45,840
Speaker 1: knowledge of what was going on in those wild days

697
00:35:45,840 --> 00:35:47,919
Speaker 1: when there were these major battles happening in the White

698
00:35:47,920 --> 00:35:50,880
Speaker 1: House and these sort of totally unhinged characters trying to

699
00:35:50,920 --> 00:35:53,560
Speaker 1: do insane things like have the military sees voting machines. Yes,

700
00:35:53,840 --> 00:35:59,040
Speaker 1: that very well said. A little bit of a mid

701
00:35:59,160 --> 00:36:04,239
Speaker 1: term update here for you. Interesting new details about some

702
00:36:04,440 --> 00:36:09,880
Speaker 1: honestly quite surprising fundraising issues that the Republican Senate candidates

703
00:36:09,880 --> 00:36:11,960
Speaker 1: are having. In particular, has put this up on the screen,

704
00:36:12,520 --> 00:36:16,320
Speaker 1: so they say. The Senate GOP campaign arm slashes TV

705
00:36:16,440 --> 00:36:19,480
Speaker 1: advis in three states. In a sign that fundraising trouble

706
00:36:19,520 --> 00:36:22,720
Speaker 1: is taking a serious toll, A key political committee cancels

707
00:36:22,719 --> 00:36:28,240
Speaker 1: ad plans in Arizona, Pennsylvania, and Wisconsin. The National Republican

708
00:36:28,280 --> 00:36:31,080
Speaker 1: Senatorial Committee. They have cut now more than five million

709
00:36:31,120 --> 00:36:35,480
Speaker 1: dollars in Pennsylvania, including the reservations in the Filly media market.

710
00:36:36,040 --> 00:36:39,120
Speaker 1: They've also slashed reservations in Wisconsin in the Madison and

711
00:36:39,160 --> 00:36:41,759
Speaker 1: Green Bay markets. Those have been curtailed by more than

712
00:36:41,800 --> 00:36:46,360
Speaker 1: two million. In Arizona, all reservations after September thirtieth have

713
00:36:46,440 --> 00:36:48,920
Speaker 1: been cut in Phoenix and Tucson, that is the state's

714
00:36:48,960 --> 00:36:52,560
Speaker 1: only two major media markets, mounting to roughly two million dollars.

715
00:36:52,600 --> 00:36:55,840
Speaker 1: More so far, around ten million dollars has been canceled

716
00:36:55,920 --> 00:36:58,239
Speaker 1: as of midday Monday, though more changes to the fall

717
00:36:58,320 --> 00:37:02,839
Speaker 1: reservations were in progress now in fairness. The response from

718
00:37:02,880 --> 00:37:06,400
Speaker 1: the Republican Senatorial Committee was basically like, look, we're not

719
00:37:06,440 --> 00:37:09,719
Speaker 1: canceling these we're moving money around, we're reallocating whatever. But

720
00:37:10,440 --> 00:37:13,120
Speaker 1: if you look overall, it's pretty clear that they've pulled

721
00:37:13,160 --> 00:37:15,640
Speaker 1: back from the amount that they are spending in these

722
00:37:15,680 --> 00:37:18,440
Speaker 1: states and in these media markets. This comes on the

723
00:37:18,480 --> 00:37:21,120
Speaker 1: heels of another report that we had covered here as

724
00:37:21,160 --> 00:37:25,200
Speaker 1: well that showed that the total amount of online donations

725
00:37:25,360 --> 00:37:29,440
Speaker 1: to Republican candidates direct can so not to the Senatorial Committee,

726
00:37:29,480 --> 00:37:32,520
Speaker 1: but directly to the candidates, has actually been falling. So

727
00:37:32,719 --> 00:37:35,680
Speaker 1: it fell by more than twelve percent in the second

728
00:37:35,760 --> 00:37:38,839
Speaker 1: quarter compared with the first quarter, according to an analysis

729
00:37:38,880 --> 00:37:42,759
Speaker 1: of win read. That's the main online Republican fundraising platform,

730
00:37:43,120 --> 00:37:46,160
Speaker 1: and that's very unusual. Usually as you get closer to

731
00:37:46,239 --> 00:37:49,279
Speaker 1: an election, online donations go up and up and up,

732
00:37:49,480 --> 00:37:51,359
Speaker 1: so the fact that in the second quarter they saw

733
00:37:51,360 --> 00:37:55,760
Speaker 1: them fall off was quite significant. Republicans said, well, it's inflation,

734
00:37:55,920 --> 00:37:58,239
Speaker 1: it's a bad economy, so of course our people are

735
00:37:58,239 --> 00:38:02,400
Speaker 1: getting hit. However, democratic contributions at the same time searched

736
00:38:02,480 --> 00:38:04,799
Speaker 1: and Democrats are living in the same country with the

737
00:38:04,800 --> 00:38:09,040
Speaker 1: same economy, their contributions on at Blue jump by more

738
00:38:09,120 --> 00:38:11,799
Speaker 1: than twenty one percent. So I suppose when you look

739
00:38:11,800 --> 00:38:14,439
Speaker 1: at this entire picture, it seems pretty clear that they're

740
00:38:14,440 --> 00:38:17,479
Speaker 1: having some fund raising struggles. And to tie it back,

741
00:38:17,560 --> 00:38:20,280
Speaker 1: Sager to what we're talking about with Trump potentially announcing

742
00:38:20,320 --> 00:38:23,160
Speaker 1: for president before the midterms. Part of their issue is

743
00:38:23,160 --> 00:38:27,120
Speaker 1: that he sucks up so much of the online fundraising.

744
00:38:27,840 --> 00:38:30,480
Speaker 1: He's a total pig when it comes to like, you know,

745
00:38:30,680 --> 00:38:35,319
Speaker 1: super greedy, abusing. Yeah, doesn't dole it out, really hitting

746
00:38:35,360 --> 00:38:38,239
Speaker 1: those fundraising lists over and over and over again, and

747
00:38:38,320 --> 00:38:41,959
Speaker 1: has so centered the party around the person of himself that, yeah,

748
00:38:42,000 --> 00:38:45,600
Speaker 1: that's where the grassroots base is overwhelmingly giving. And you

749
00:38:45,640 --> 00:38:48,480
Speaker 1: can only imagine that if he does announce for president

750
00:38:48,600 --> 00:38:52,239
Speaker 1: before the midterm election, that's only going to, you know,

751
00:38:52,400 --> 00:38:54,920
Speaker 1: only going to exacerbate some of the fundraising issues that

752
00:38:55,000 --> 00:38:57,040
Speaker 1: the rest of the party is having right now. Yeah,

753
00:38:57,040 --> 00:38:59,360
Speaker 1: And actually Politico had a story out this morning where

754
00:38:59,400 --> 00:39:02,560
Speaker 1: they say that the midterm election campaign and the nrsc's

755
00:39:02,640 --> 00:39:05,640
Speaker 1: of decision to cancel millions of dollars is actually also

756
00:39:05,680 --> 00:39:09,799
Speaker 1: a commentary on the inability of states like Ohio, Pennsylvania,

757
00:39:09,800 --> 00:39:13,279
Speaker 1: and North Carolina to raise enough money. So Essentially, what

758
00:39:13,320 --> 00:39:17,480
Speaker 1: they're saying is that jd Vance, Doug Mastriano and sorry

759
00:39:17,520 --> 00:39:21,080
Speaker 1: Doug Mastriano and doctor Oz and also in North Carolina

760
00:39:21,200 --> 00:39:24,239
Speaker 1: are not raising enough money on their own and so

761
00:39:24,640 --> 00:39:26,680
Speaker 1: they need to be able to pull money away from

762
00:39:26,719 --> 00:39:29,320
Speaker 1: other states and slash budgets so that they can bombard

763
00:39:29,360 --> 00:39:31,920
Speaker 1: the airwaves. Yeah, and this has never happened before. It's

764
00:39:31,920 --> 00:39:34,120
Speaker 1: also the case that they shouldn't have had to spend

765
00:39:34,160 --> 00:39:36,520
Speaker 1: money in Ohio. I mean, Ohio should have been a gimme.

766
00:39:36,640 --> 00:39:39,359
Speaker 1: They shouldn't have had to worry about that state they're

767
00:39:39,360 --> 00:39:41,359
Speaker 1: having to worry about, you know, they're having to pour

768
00:39:41,440 --> 00:39:44,120
Speaker 1: more resources into a place like Georgia that also, frankly,

769
00:39:44,160 --> 00:39:46,040
Speaker 1: in a year like this, should have been a gimme,

770
00:39:46,239 --> 00:39:48,960
Speaker 1: even with an incumbent democrat in place right now. So

771
00:39:49,200 --> 00:39:53,360
Speaker 1: the fact that you know, their candidates have dramatically underperformed

772
00:39:53,440 --> 00:39:55,880
Speaker 1: both in terms of their positioning with the electorate but

773
00:39:55,920 --> 00:39:59,000
Speaker 1: also in terms of their fundraising ability has put them

774
00:39:59,200 --> 00:40:01,960
Speaker 1: in a bit of a squeeze. I think also the

775
00:40:02,000 --> 00:40:06,680
Speaker 1: fact that a number of these candidates have no electoral experience,

776
00:40:06,920 --> 00:40:10,320
Speaker 1: so they haven't built out, they haven't done fundraising before,

777
00:40:10,360 --> 00:40:13,520
Speaker 1: and just like anything else. Political fundraising is a skill.

778
00:40:13,600 --> 00:40:16,920
Speaker 1: It takes time to learn. It's really sucks having, you know,

779
00:40:16,960 --> 00:40:19,719
Speaker 1: being someone who dialed for dollars long ago, I can

780
00:40:19,760 --> 00:40:22,680
Speaker 1: tell you it is no fund to do whatsoever. But

781
00:40:22,840 --> 00:40:26,040
Speaker 1: it takes time to like build out those specific political

782
00:40:26,239 --> 00:40:29,000
Speaker 1: donor networks. And so if you have all of this

783
00:40:29,160 --> 00:40:31,960
Speaker 1: slate of brand new candidates who have never done this before,

784
00:40:32,280 --> 00:40:35,040
Speaker 1: you know, there are other advantages to having outsiders who

785
00:40:35,080 --> 00:40:37,680
Speaker 1: don't have a sort of like electoral track record in

786
00:40:37,719 --> 00:40:41,480
Speaker 1: that baggage. But one of the downsides of going with

787
00:40:41,520 --> 00:40:44,919
Speaker 1: these sorts of candidates is they don't have established sort

788
00:40:44,920 --> 00:40:48,600
Speaker 1: of networks and establish abilities in fundraising, and I think

789
00:40:48,640 --> 00:40:50,319
Speaker 1: that is a drag on them. That's a point Kyle

790
00:40:50,360 --> 00:40:52,120
Speaker 1: conduct made. I think it's an excellent point. You know.

791
00:40:52,160 --> 00:40:55,279
Speaker 1: At the same time, Democrats are washing cash, like a

792
00:40:55,280 --> 00:40:58,040
Speaker 1: lot of cash in many of these specific states and

793
00:40:58,200 --> 00:41:00,800
Speaker 1: are hitting Republicans where it hurts. It's a really interesting

794
00:41:00,800 --> 00:41:02,799
Speaker 1: story here. Let's put this up there, which is that

795
00:41:02,920 --> 00:41:05,760
Speaker 1: in all of the battleground states, Democrats are going all

796
00:41:05,840 --> 00:41:09,640
Speaker 1: in on abortion in terms of their messaging, as basically

797
00:41:09,640 --> 00:41:12,000
Speaker 1: we predicted here on this show, and given the results

798
00:41:12,040 --> 00:41:15,000
Speaker 1: of what happened in Kansas and in many of the

799
00:41:15,040 --> 00:41:17,840
Speaker 1: special elections that we have now seen, it seems like

800
00:41:17,880 --> 00:41:21,040
Speaker 1: a good choice. And you'll see there there's four different

801
00:41:21,360 --> 00:41:25,680
Speaker 1: screenshots from ads in Arizona blanketing the ads space in

802
00:41:25,920 --> 00:41:30,360
Speaker 1: Blake Masters, who had previously alluded to wanting a national

803
00:41:30,440 --> 00:41:32,520
Speaker 1: ban on abortion. I think he's going to come to

804
00:41:32,560 --> 00:41:35,320
Speaker 1: regret that one. In terms of his messaging Tutor Dixon,

805
00:41:35,480 --> 00:41:39,279
Speaker 1: who is the so called moderate nominee, she has said

806
00:41:39,320 --> 00:41:42,400
Speaker 1: previously she doesn't want any exceptions for rape or incests

807
00:41:42,440 --> 00:41:44,480
Speaker 1: in an abortion law, and they are of course putting

808
00:41:44,560 --> 00:41:48,279
Speaker 1: that and highlighting that. Doug Mastriano specifically saying in may

809
00:41:48,520 --> 00:41:51,839
Speaker 1: quote my body, my choice is ridiculous nonsense, and they're

810
00:41:51,880 --> 00:41:56,400
Speaker 1: calling him, Doug Mastriano, make all abortion illegal, and even

811
00:41:56,640 --> 00:42:00,359
Speaker 1: in Alaska saying Alaskans should have a right to choose,

812
00:42:00,400 --> 00:42:03,799
Speaker 1: Alaska being probably a much more kind of libertarian type state.

813
00:42:03,880 --> 00:42:06,920
Speaker 1: But really it just shows you that across all of

814
00:42:06,960 --> 00:42:11,480
Speaker 1: these states, all swings, all of them are immediately picking

815
00:42:11,520 --> 00:42:14,799
Speaker 1: on abortion as their top issue, that they're spending money

816
00:42:14,800 --> 00:42:18,160
Speaker 1: that apparently, even with Michigan and Tutor Dixon, they're not

817
00:42:18,200 --> 00:42:21,920
Speaker 1: talking about election conspiracy nothing it's just all abortion. Georgia

818
00:42:21,960 --> 00:42:25,680
Speaker 1: they're doing the same thing. And Arizona and yeah, Arizona

819
00:42:25,719 --> 00:42:27,520
Speaker 1: and Pennsylvania, I think are they're going to be the

820
00:42:27,520 --> 00:42:30,680
Speaker 1: most significant given Arizona of course is a conservative state,

821
00:42:30,760 --> 00:42:33,000
Speaker 1: you know, but also went for Biden, but as I

822
00:42:33,040 --> 00:42:34,520
Speaker 1: alluded to, you know, are going to have a little

823
00:42:34,520 --> 00:42:38,040
Speaker 1: bit more of a libertarian ethos. Pennsylvania also, I mean

824
00:42:38,080 --> 00:42:40,760
Speaker 1: a true actual swing and that is where a place

825
00:42:41,160 --> 00:42:45,440
Speaker 1: like that to say, actually, no exceptions whatsoever. That's just look,

826
00:42:45,520 --> 00:42:47,760
Speaker 1: no matter how you feel in terms of public opinion,

827
00:42:47,800 --> 00:42:49,920
Speaker 1: that does not track with public opinion. Yeah, so that

828
00:42:50,000 --> 00:42:53,160
Speaker 1: is it's an issue, extremely fringe view. Yeah, and the

829
00:42:53,239 --> 00:42:56,920
Speaker 1: case that they're making, the sort of like broader portrait

830
00:42:56,960 --> 00:43:00,120
Speaker 1: they're trying to paint is like, you know, look, guys,

831
00:43:00,160 --> 00:43:03,239
Speaker 1: you might not be thrilled with the Biden administration and

832
00:43:03,280 --> 00:43:05,560
Speaker 1: how the economy is going right now, but these people

833
00:43:05,600 --> 00:43:08,439
Speaker 1: are crazy like they are out there. They are way

834
00:43:08,480 --> 00:43:12,160
Speaker 1: too extreme. They are sort of idy lugs and zealots.

835
00:43:12,520 --> 00:43:16,800
Speaker 1: And so abortion is the entree to making that larger

836
00:43:16,920 --> 00:43:19,359
Speaker 1: case that you know, these candidates are are way too

837
00:43:19,440 --> 00:43:22,560
Speaker 1: out of the mainstream for you to ultimately elect, just

838
00:43:22,560 --> 00:43:24,399
Speaker 1: to give you some of the numbers on this, because

839
00:43:24,400 --> 00:43:28,120
Speaker 1: I do think it's really interesting. Democrats have spent nearly

840
00:43:28,160 --> 00:43:31,160
Speaker 1: eight times as much as Republicans on ads talking about abortion,

841
00:43:31,760 --> 00:43:35,160
Speaker 1: thirty one point nine million dollars just this far spent

842
00:43:35,239 --> 00:43:37,840
Speaker 1: on abortion ads compared with four point two million on

843
00:43:37,880 --> 00:43:41,680
Speaker 1: the Republican side, And in the closest senate in governor's contests,

844
00:43:41,800 --> 00:43:46,760
Speaker 1: Republicans have spent virtually nothing countering the Democrats offensive. Now,

845
00:43:47,360 --> 00:43:50,200
Speaker 1: I've seen Democrats make this mistake in the past, where

846
00:43:50,320 --> 00:43:53,239
Speaker 1: they're getting hit on an issue that they're taking on water.

847
00:43:53,280 --> 00:43:55,560
Speaker 1: I think CRT is a good example of that, and

848
00:43:55,600 --> 00:43:58,080
Speaker 1: they just try to like, let's not talk about it.

849
00:43:58,080 --> 00:44:00,759
Speaker 1: It doesn't work like you have to respond, you have

850
00:44:00,800 --> 00:44:02,200
Speaker 1: to give your side of the story, you have to

851
00:44:02,239 --> 00:44:04,279
Speaker 1: lay on No, here's what my actual views are, Here's

852
00:44:04,280 --> 00:44:06,320
Speaker 1: why that's wrong, or here's why I believe what I believe.

853
00:44:06,960 --> 00:44:09,600
Speaker 1: Just sort of staying quiet on this and hoping it

854
00:44:09,640 --> 00:44:11,880
Speaker 1: goes away. I don't think is going to be a

855
00:44:11,920 --> 00:44:14,719
Speaker 1: good strategy here. And a lot of what they're doing

856
00:44:14,760 --> 00:44:18,839
Speaker 1: in these campaigns is they're using these abortion ads as

857
00:44:18,920 --> 00:44:22,680
Speaker 1: like the opening message, so to define these candidates out

858
00:44:22,719 --> 00:44:26,080
Speaker 1: of the gates as like these people are extreme, and

859
00:44:26,120 --> 00:44:28,440
Speaker 1: then they move on to whatever the broader case is

860
00:44:28,480 --> 00:44:31,000
Speaker 1: that they ultimately want to make. I thought it was

861
00:44:31,040 --> 00:44:33,759
Speaker 1: interesting that a quote here from Anna Greenberg, she's a

862
00:44:33,800 --> 00:44:36,760
Speaker 1: Democratic polster, but the way she phrases it is rarely

863
00:44:36,800 --> 00:44:38,680
Speaker 1: has an issue been handed on a silver platter to

864
00:44:38,719 --> 00:44:41,240
Speaker 1: Democrats that is so clear cut. It took an election

865
00:44:41,320 --> 00:44:43,560
Speaker 1: that was going to be mostly about inflation and immigration

866
00:44:43,800 --> 00:44:47,520
Speaker 1: and made it also about abortion, and the pulling at

867
00:44:47,520 --> 00:44:51,440
Speaker 1: this point is really clear that there was a shift

868
00:44:51,719 --> 00:44:54,760
Speaker 1: after the Dobs decision, and this is a very different

869
00:44:54,800 --> 00:44:57,720
Speaker 1: race than it was before the Dob's decision. The generic

870
00:44:57,760 --> 00:45:00,520
Speaker 1: ballot is basically tied, you have a much better chance

871
00:45:00,560 --> 00:45:03,279
Speaker 1: of Democrats being able to hold onto the Senate. I

872
00:45:03,400 --> 00:45:06,200
Speaker 1: still would maintain, given how the polls have been biased

873
00:45:06,600 --> 00:45:09,600
Speaker 1: against Republicans and in favor of Democrats, that Republicans are

874
00:45:09,640 --> 00:45:12,440
Speaker 1: still very much the favorite, that the landscape still very

875
00:45:12,520 --> 00:45:17,359
Speaker 1: much favors them. But Democrats, in a rare act of

876
00:45:17,360 --> 00:45:20,640
Speaker 1: political intelligence, have done a few things that have given

877
00:45:20,719 --> 00:45:22,840
Speaker 1: them a long shot chance to have a better midterm

878
00:45:22,880 --> 00:45:25,080
Speaker 1: than was previously expected. I think that's right. So although

879
00:45:25,080 --> 00:45:26,879
Speaker 1: it doesn't take a genius to figure this one out,

880
00:45:27,000 --> 00:45:29,960
Speaker 1: looking at pulling data up by listen, that hasn't stopped

881
00:45:30,000 --> 00:45:32,160
Speaker 1: them before. Yes, they have, you know, in the path,

882
00:45:32,200 --> 00:45:34,520
Speaker 1: gone out of their way to do the dumbest possible thing.

883
00:45:34,680 --> 00:45:37,560
Speaker 1: So we'll give them, we'll damn them with fate praise here. Okay,

884
00:45:37,600 --> 00:45:39,440
Speaker 1: And this is a little bit of a look at

885
00:45:39,480 --> 00:45:42,719
Speaker 1: why the Republicans are having some issues here because I

886
00:45:42,760 --> 00:45:46,040
Speaker 1: can see you to maintain this election when you look

887
00:45:46,080 --> 00:45:48,520
Speaker 1: at it, like the further you step back and look

888
00:45:48,560 --> 00:45:51,799
Speaker 1: at the macro you know, oh, the economy inflation, wrong

889
00:45:51,880 --> 00:45:54,399
Speaker 1: track of Biden's approval numbers, and where you're like, oh,

890
00:45:54,480 --> 00:45:56,640
Speaker 1: Republicans are going to just clean up. It's going to

891
00:45:56,680 --> 00:45:59,480
Speaker 1: be a shellacking. And the closer you zoom in at

892
00:45:59,480 --> 00:46:02,600
Speaker 1: the actual races in the actual candidates, and where you're like, oh,

893
00:46:02,800 --> 00:46:06,160
Speaker 1: this is not going too well. Case in point Pennsylvania,

894
00:46:06,719 --> 00:46:11,800
Speaker 1: John Fetterman versus doctor oz So. Fetterman has been raking

895
00:46:11,880 --> 00:46:14,399
Speaker 1: oz across the coals of being an elitist, of being

896
00:46:14,400 --> 00:46:17,399
Speaker 1: an outsider being from New Jersey. I mean, we've played

897
00:46:17,440 --> 00:46:19,160
Speaker 1: some of the stuff here which has been really quite

898
00:46:19,239 --> 00:46:22,319
Speaker 1: funny and amusing and I think very politically effective. As

899
00:46:22,360 --> 00:46:25,440
Speaker 1: born out by the polls, where Fetterman now has, in

900
00:46:25,480 --> 00:46:28,240
Speaker 1: the average of polls, a ten point lead on doctor

901
00:46:28,280 --> 00:46:30,480
Speaker 1: Oz in the state of Pennsylvania. State that really should

902
00:46:30,520 --> 00:46:35,800
Speaker 1: be Republicans to lose this year. So Oz apparently decides

903
00:46:36,200 --> 00:46:38,800
Speaker 1: I'm gonna do my everyman thing. I'm gonna go to

904
00:46:38,840 --> 00:46:41,440
Speaker 1: the grocery store. I'm gonna talk about prices. It's going

905
00:46:41,520 --> 00:46:44,919
Speaker 1: to be super relatable. Here's how that went. I thought,

906
00:46:44,920 --> 00:46:46,880
Speaker 1: I there's some grocery shopping. I'm at weg nurse and

907
00:46:47,280 --> 00:46:50,319
Speaker 1: my wife wants some vegetables for crude to day, right,

908
00:46:50,400 --> 00:46:54,279
Speaker 1: So is it broccoli that's two bucks? Not the ton

909
00:46:54,320 --> 00:46:58,200
Speaker 1: of broccoli here, there's some asparagus that's four dollars yep,

910
00:46:58,800 --> 00:47:03,640
Speaker 1: carrot's that's four more dollars. That's ten dollars of vegetables there.

911
00:47:03,680 --> 00:47:07,800
Speaker 1: And then we need some guacamoli. That's four dollars more.

912
00:47:08,680 --> 00:47:13,239
Speaker 1: And she loves sausa, Yeah, sausa there, six dollars. Must

913
00:47:13,320 --> 00:47:16,440
Speaker 1: be a shortage of salsa. Guys, that's twenty dollars for

914
00:47:16,480 --> 00:47:19,759
Speaker 1: crude te and this doesn't included tequila. I mean, it's

915
00:47:19,760 --> 00:47:21,960
Speaker 1: out rageous. We got Joe Biden. I thank for this

916
00:47:23,280 --> 00:47:27,560
Speaker 1: so literally campaigning on the outrageous price of crudite. So

917
00:47:27,600 --> 00:47:29,800
Speaker 1: I was asking you before, I'm like, I have literally

918
00:47:29,920 --> 00:47:33,319
Speaker 1: never heard like look, maybe I'm just unrefined, you know,

919
00:47:33,360 --> 00:47:36,680
Speaker 1: I haven't spent enough time in Paris or in France.

920
00:47:36,800 --> 00:47:39,040
Speaker 1: Apparently it just means a vegetable platter, like you know,

921
00:47:39,120 --> 00:47:41,600
Speaker 1: like a really judge me. It's like a veggieeson dip.

922
00:47:41,640 --> 00:47:43,560
Speaker 1: Why couldn't you say this, say that, like I am,

923
00:47:43,560 --> 00:47:45,960
Speaker 1: my wife wants to educate, so I'm gonna go get

924
00:47:46,000 --> 00:47:48,200
Speaker 1: some you can made it the exact same point. Also,

925
00:47:48,360 --> 00:47:51,759
Speaker 1: it's called Wegmans, not weg Nerves. Well, apparently it is

926
00:47:51,760 --> 00:47:55,040
Speaker 1: a little bit of a problem. So apparently there was

927
00:47:55,120 --> 00:47:58,400
Speaker 1: a lot of internet investigation into what is video. There

928
00:47:58,520 --> 00:48:02,520
Speaker 1: is Wegmans, obviously, and there's also a Pennsylvania chain called

929
00:48:02,880 --> 00:48:07,680
Speaker 1: Red Nurse. He was actually at Red Nurse, but he

930
00:48:07,680 --> 00:48:10,759
Speaker 1: he morphed the two together and made it what do

931
00:48:10,840 --> 00:48:14,680
Speaker 1: you say, Wegner's Yeah. So apparently that's why it's even worse.

932
00:48:15,000 --> 00:48:17,800
Speaker 1: I honestly, I have to admit I watched this video

933
00:48:17,840 --> 00:48:20,120
Speaker 1: so many times and I could not stop laughing because

934
00:48:20,160 --> 00:48:22,560
Speaker 1: every time I watched it, I noticed something else that

935
00:48:22,680 --> 00:48:25,520
Speaker 1: was just like bizarre, Like, for example, what kind of

936
00:48:25,560 --> 00:48:27,520
Speaker 1: a maniac goes to the grocery store and it's just

937
00:48:27,520 --> 00:48:30,719
Speaker 1: like piling, Why don't you have a cart? Why don't

938
00:48:30,719 --> 00:48:33,920
Speaker 1: you have a basket a grocery store? Recently, also, are

939
00:48:33,920 --> 00:48:37,520
Speaker 1: you really gonna like dip that raw asparagus in some soulsa? Now? Bro?

940
00:48:37,760 --> 00:48:42,799
Speaker 1: Is that you? Yeah? And then at the end he's like,

941
00:48:43,000 --> 00:48:45,200
Speaker 1: got to get the tequila because that's what people have

942
00:48:45,320 --> 00:48:49,200
Speaker 1: with veggies and dip. That's like totally logical there. Anyway,

943
00:48:49,280 --> 00:48:53,320
Speaker 1: it was it reminded me so much of the weird

944
00:48:53,680 --> 00:48:56,560
Speaker 1: rich guy stuff that Mitt Romney would say during twenty twelve.

945
00:48:56,560 --> 00:48:59,360
Speaker 1: Oh yeah, where you're like, are you even a human being?

946
00:48:59,680 --> 00:49:02,280
Speaker 1: Like you do you live on the ground on the

947
00:49:02,320 --> 00:49:04,400
Speaker 1: planet with the rest of us. Have you been to

948
00:49:04,480 --> 00:49:07,960
Speaker 1: a grocery store in the last like forty years? What

949
00:49:08,320 --> 00:49:11,480
Speaker 1: is going on here? So the other point that I

950
00:49:11,520 --> 00:49:14,720
Speaker 1: thought a very good observer made online is this definitively

951
00:49:14,800 --> 00:49:19,320
Speaker 1: proves that his campaign team definitely hates him, because otherwise

952
00:49:19,440 --> 00:49:22,120
Speaker 1: they would never have put this out. No way you

953
00:49:22,239 --> 00:49:24,800
Speaker 1: let him go forward with this video where he's talking

954
00:49:24,800 --> 00:49:28,000
Speaker 1: about Wegner's and Crew de Tay not a chance like

955
00:49:28,239 --> 00:49:30,920
Speaker 1: this could not have been better scripted if the Fetterman

956
00:49:31,120 --> 00:49:33,560
Speaker 1: campaign did it themselves. And Fetterman actually quote tweeted and

957
00:49:33,600 --> 00:49:36,240
Speaker 1: he said in PA, we just call this a veggie tray,

958
00:49:36,640 --> 00:49:40,359
Speaker 1: Like yeah, you know, it's like, why is this so hard?

959
00:49:40,360 --> 00:49:43,160
Speaker 1: And his ads have just been so created. This again

960
00:49:43,280 --> 00:49:47,400
Speaker 1: is further evidence to me that Oz is. Oz's problem

961
00:49:47,719 --> 00:49:50,279
Speaker 1: is that he is turning his campaign over to the

962
00:49:50,600 --> 00:49:55,120
Speaker 1: absolute most brain dead GOP consultants who used to work

963
00:49:55,280 --> 00:49:58,040
Speaker 1: for Mitch McConnell. And this latest ad is the most

964
00:49:58,239 --> 00:50:01,080
Speaker 1: perfect example you could put it in a capsule as

965
00:50:01,080 --> 00:50:03,799
Speaker 1: to what they think is quote politically effective. Let's take

966
00:50:03,800 --> 00:50:08,880
Speaker 1: a listen. Fetterman wants to release one third of all prisoners.

967
00:50:09,200 --> 00:50:14,360
Speaker 1: That's crazy. Spend more tax dollars. Everything will cost more,

968
00:50:14,880 --> 00:50:20,719
Speaker 1: that's nuts. Slow energy production, gas prices will skylight it.

969
00:50:21,480 --> 00:50:30,120
Speaker 1: That's ridiculous, socialized medicine. Get these crazy ideas now it

970
00:50:30,160 --> 00:50:36,880
Speaker 1: makes sense. It up. John Fetterman is crazier than you think.

971
00:50:40,160 --> 00:50:43,560
Speaker 1: There's genuinely one of the worst ads I've ever And

972
00:50:43,560 --> 00:50:45,319
Speaker 1: this is the thing you can make the case on

973
00:50:45,440 --> 00:50:47,960
Speaker 1: all of that. The other issue is is you should

974
00:50:48,000 --> 00:50:51,520
Speaker 1: not be talking about John Fetterman, period, You should just

975
00:50:51,560 --> 00:50:54,560
Speaker 1: put his face next to Joe Biden and then run honestly,

976
00:50:54,760 --> 00:50:57,360
Speaker 1: say nothing and just run that for thirty seconds straight

977
00:50:57,600 --> 00:50:59,960
Speaker 1: of Fetterman on a highlight reel boom with Joe Biden,

978
00:51:00,080 --> 00:51:02,480
Speaker 1: Joe Biden, Joe Biden, meeting with Joe Biden, shaking hands

979
00:51:02,480 --> 00:51:04,319
Speaker 1: with Joe Biden. Joe Biden has like a minus thirty

980
00:51:04,320 --> 00:51:06,600
Speaker 1: approval rating in the state of Pennsylvania. That's all you

981
00:51:06,680 --> 00:51:08,880
Speaker 1: have to do. Just be like John Fetterman, will go

982
00:51:08,920 --> 00:51:11,239
Speaker 1: to Washington and vote for Joe Biden. Do you like

983
00:51:11,320 --> 00:51:13,840
Speaker 1: Joe Biden? These things haven't worked well about Joe Biden.

984
00:51:14,560 --> 00:51:17,840
Speaker 1: I would say Biden's name, Like remember when the Republicans

985
00:51:17,880 --> 00:51:21,239
Speaker 1: ran against the Democrats in twenty ten, Actually, yeah, you

986
00:51:21,239 --> 00:51:23,399
Speaker 1: were running then. They didn't talk about even the Canada.

987
00:51:23,440 --> 00:51:26,640
Speaker 1: They just sayed Obama's Obama over and over again, Obama Pelosi,

988
00:51:26,680 --> 00:51:29,759
Speaker 1: Obama Pelosi agenda, and you would be you would be

989
00:51:29,800 --> 00:51:33,600
Speaker 1: better off going after Pelosi. Then Bernie Sanders is like

990
00:51:33,680 --> 00:51:36,239
Speaker 1: one of the more popular Democratic politic leadership, so it

991
00:51:36,239 --> 00:51:38,719
Speaker 1: doesn't even matter, yeah, exactly. And you know, I mean,

992
00:51:38,760 --> 00:51:40,879
Speaker 1: we were, of course on the left laughing that they

993
00:51:40,880 --> 00:51:42,759
Speaker 1: have for those of you who are just listening, they

994
00:51:42,800 --> 00:51:44,759
Speaker 1: have like AOC pop up with the sign that says

995
00:51:44,800 --> 00:51:46,919
Speaker 1: free healthcare for all, and we're like, yeah, that'd be good,

996
00:51:47,080 --> 00:51:49,399
Speaker 1: Like don't threaten us with a good time anyway. It's

997
00:51:49,520 --> 00:51:52,839
Speaker 1: very clear that number one, it's being run just by

998
00:51:52,920 --> 00:51:58,880
Speaker 1: this like totally tired standard Republican like socialism, bad playbook.

999
00:51:59,239 --> 00:52:01,879
Speaker 1: Number two, it's not even intelligent, given that the least

1000
00:52:01,880 --> 00:52:04,240
Speaker 1: popular figure and the leader of the party is Joe Biden,

1001
00:52:04,320 --> 00:52:07,399
Speaker 1: Like that is the person clearly should be aiming your

1002
00:52:07,400 --> 00:52:09,200
Speaker 1: fire at. And number three, you know, I was thinking

1003
00:52:09,239 --> 00:52:12,040
Speaker 1: about the like rich guy problem that he has. I mean,

1004
00:52:12,120 --> 00:52:16,279
Speaker 1: you can pull off being the rich guy who's the

1005
00:52:16,480 --> 00:52:20,000
Speaker 1: you know, successful like somebody that everybody should aspire. So

1006
00:52:20,040 --> 00:52:22,359
Speaker 1: that's what Donald Trump did. I mean Donald Trump never

1007
00:52:22,560 --> 00:52:26,560
Speaker 1: tried to be the everyman because it just would be ridiculous.

1008
00:52:26,640 --> 00:52:29,279
Speaker 1: That wasn't his thing. He just leaned into. Remember when

1009
00:52:29,520 --> 00:52:32,600
Speaker 1: at the Iowa Fairy had like his helicopter take people

1010
00:52:32,680 --> 00:52:35,080
Speaker 1: up and around, and everything was about him looking this

1011
00:52:35,280 --> 00:52:39,160
Speaker 1: like family, being glamorous and all this stuff, this picture

1012
00:52:39,200 --> 00:52:42,719
Speaker 1: of American success, the vaunted businessman, all of that. But

1013
00:52:42,960 --> 00:52:47,359
Speaker 1: Oz is trying to pretend like he's an everyman and

1014
00:52:47,400 --> 00:52:50,840
Speaker 1: then failing so hard at it. And I've seen so

1015
00:52:51,000 --> 00:52:54,920
Speaker 1: many politicians it's so standard to like, you know, we're

1016
00:52:54,960 --> 00:52:56,600
Speaker 1: going to buy a pickup truck and put on a

1017
00:52:57,080 --> 00:52:59,480
Speaker 1: shirt of the campaign, and so I've seen a lot

1018
00:52:59,480 --> 00:53:03,759
Speaker 1: of cringe attempts at being the everyman. This is potentially

1019
00:53:04,160 --> 00:53:07,239
Speaker 1: the worst that I have ever seen. And that is

1020
00:53:07,280 --> 00:53:09,560
Speaker 1: saying a lot in terms of politis just be who

1021
00:53:09,600 --> 00:53:11,799
Speaker 1: you are. You're a television star. Just be that. I

1022
00:53:11,800 --> 00:53:14,080
Speaker 1: think that's honestly fine. You know, what you'd be better

1023
00:53:14,120 --> 00:53:16,520
Speaker 1: off doing in terms of ads would be holding some

1024
00:53:16,560 --> 00:53:19,200
Speaker 1: sort of like fake focus group thing where just like

1025
00:53:19,239 --> 00:53:21,520
Speaker 1: the Doctor Oz Show and tell me how Joe Biden's

1026
00:53:21,520 --> 00:53:25,040
Speaker 1: policies has affected you. You know, lead was just difficult.

1027
00:53:25,200 --> 00:53:28,600
Speaker 1: Leads wants to your strength. Do like an ad which

1028
00:53:28,640 --> 00:53:30,960
Speaker 1: is a thirty second version of The Doctor Oz Show

1029
00:53:31,000 --> 00:53:32,879
Speaker 1: where you look, I mean, what was his strength? Being

1030
00:53:32,920 --> 00:53:36,840
Speaker 1: empathetic talking with people, feeling and struggles prescribing a solution? Okay,

1031
00:53:36,960 --> 00:53:39,520
Speaker 1: I mean, why is this difficult? I don't even work

1032
00:53:39,520 --> 00:53:42,080
Speaker 1: in this business, and you are you are going to

1033
00:53:42,200 --> 00:53:45,560
Speaker 1: out everyman John p Ever like if you are trying

1034
00:53:45,560 --> 00:53:47,799
Speaker 1: to compete on his tur that's his lane, that's what

1035
00:53:47,880 --> 00:53:51,680
Speaker 1: he'd like people get that authentically from him and feel

1036
00:53:51,719 --> 00:53:55,000
Speaker 1: that that is actually who he is. You are never

1037
00:53:55,200 --> 00:53:58,200
Speaker 1: going to be able to compete with him on that ground.

1038
00:53:58,280 --> 00:54:00,719
Speaker 1: So that's why you're losing by ten points. And you know,

1039
00:54:00,719 --> 00:54:02,400
Speaker 1: we should point out, like, you know, it's not like

1040
00:54:02,480 --> 00:54:05,440
Speaker 1: Fetterman is in a phenomenal position right now. He just

1041
00:54:05,880 --> 00:54:08,200
Speaker 1: came back on the campaign trail, obviously had a stroke,

1042
00:54:08,280 --> 00:54:10,360
Speaker 1: it was very serious. He's out of public eye for

1043
00:54:10,480 --> 00:54:13,799
Speaker 1: quite a while, and it really is quite incredible that

1044
00:54:14,160 --> 00:54:17,920
Speaker 1: during that time, when he was basically not campaigning, is

1045
00:54:18,000 --> 00:54:21,919
Speaker 1: when they just have been destroying us. I mean, yeah,

1046
00:54:21,960 --> 00:54:25,200
Speaker 1: on the air, online, defining him in this totally you know,

1047
00:54:25,360 --> 00:54:28,600
Speaker 1: caricatureish way that he then goes and completely leans into

1048
00:54:28,640 --> 00:54:33,279
Speaker 1: and like one hundred percent validates. And Fetterman recently did

1049
00:54:33,360 --> 00:54:36,040
Speaker 1: return to the trail, did a rally, gave a speech,

1050
00:54:36,320 --> 00:54:38,480
Speaker 1: and look, you can tell that he's still not one

1051
00:54:38,520 --> 00:54:41,080
Speaker 1: hundred percent. Now, it's incredible this short period of time

1052
00:54:41,080 --> 00:54:43,920
Speaker 1: he's recovered as much as he has, but you can

1053
00:54:43,960 --> 00:54:46,800
Speaker 1: still tell in his speech that he's not one hundred

1054
00:54:46,840 --> 00:54:49,000
Speaker 1: percent back to where he was. Let's take a listen

1055
00:54:49,000 --> 00:54:56,759
Speaker 1: to that, and you can count on us lemonade the filibuster.

1056
00:54:57,400 --> 00:55:05,160
Speaker 1: If you're out and step with us, we will be

1057
00:55:05,200 --> 00:55:08,200
Speaker 1: able to stay in with you. In DC, I gave

1058
00:55:08,239 --> 00:55:12,040
Speaker 1: away the lieutenant governor governor in Pennsylvania, the only lieutenant

1059
00:55:12,080 --> 00:55:15,000
Speaker 1: governor in the history to do that. And let's let's

1060
00:55:15,080 --> 00:55:19,239
Speaker 1: get some stuff done for America. Who would ever think

1061
00:55:19,520 --> 00:55:23,840
Speaker 1: that I would be the normal the normal one in

1062
00:55:23,840 --> 00:55:28,760
Speaker 1: there like that. So I that is obviously like clipped

1063
00:55:28,840 --> 00:55:30,840
Speaker 1: to show some of the toughest moments in that speech,

1064
00:55:30,880 --> 00:55:33,480
Speaker 1: but I did go back to I watched, I watched

1065
00:55:33,480 --> 00:55:35,359
Speaker 1: the whole thing so that you know, I could give

1066
00:55:35,400 --> 00:55:38,920
Speaker 1: a fair assessment of it, and you could tell he's

1067
00:55:38,960 --> 00:55:40,680
Speaker 1: a little slow. I mean, there's no doubt this was

1068
00:55:40,760 --> 00:55:44,880
Speaker 1: not like over the top, like outrageous, out of context

1069
00:55:45,000 --> 00:55:48,000
Speaker 1: or anything like that. Compilation of how he was able

1070
00:55:48,040 --> 00:55:49,960
Speaker 1: to perform in that speech. So you have a guy

1071
00:55:50,000 --> 00:55:54,320
Speaker 1: who is struggling health wise, you know, still recovering from

1072
00:55:54,480 --> 00:55:58,880
Speaker 1: a significant and life threatening health event, and you're getting

1073
00:55:58,880 --> 00:56:02,120
Speaker 1: your ass kicked by him like undeniably. So at this time, Yeah,

1074
00:56:02,160 --> 00:56:04,480
Speaker 1: I mean, look, as you said, at the end of

1075
00:56:04,520 --> 00:56:07,200
Speaker 1: the day, if his zoom out the conditions are very favorable.

1076
00:56:07,320 --> 00:56:09,480
Speaker 1: So does Oz still have a fighting chance despite all

1077
00:56:09,520 --> 00:56:11,960
Speaker 1: of this cringe? Yeah, he does. Now should he even

1078
00:56:12,000 --> 00:56:13,600
Speaker 1: have to have a fighting chance? Should you have way

1079
00:56:13,640 --> 00:56:15,280
Speaker 1: more of that and should be a shoe in? Yeah?

1080
00:56:15,320 --> 00:56:17,440
Speaker 1: So like that, I would say, is the fact that

1081
00:56:17,480 --> 00:56:20,120
Speaker 1: it is anywhere even close to some sort of fifty

1082
00:56:20,160 --> 00:56:23,000
Speaker 1: to fifty proposition, maybe even honestly sixty forty Yeah, fifty

1083
00:56:23,040 --> 00:56:25,200
Speaker 1: five to forty five or whatever on fetterment. It should

1084
00:56:25,280 --> 00:56:27,839
Speaker 1: never even be within that margin of error. You should

1085
00:56:27,880 --> 00:56:30,640
Speaker 1: have absolutely cleaned up given the way that Joe Biden

1086
00:56:30,640 --> 00:56:32,439
Speaker 1: has his approval rating there, so he needs to step

1087
00:56:32,440 --> 00:56:33,680
Speaker 1: it up. But I mean it's clear he's just not

1088
00:56:33,719 --> 00:56:35,600
Speaker 1: going to at this point. He's not going to do

1089
00:56:36,000 --> 00:56:37,719
Speaker 1: what needs to be done. He better just hope and

1090
00:56:37,760 --> 00:56:40,480
Speaker 1: pray for a terrible economy. And look, I mean, Fetterman

1091
00:56:40,560 --> 00:56:42,960
Speaker 1: doesn't have a lot of public events scheduled. Clearly, you

1092
00:56:43,000 --> 00:56:45,319
Speaker 1: know he's recovering from a horrific health condition. There's just

1093
00:56:45,400 --> 00:56:47,759
Speaker 1: no It's one of the most serious health events that

1094
00:56:47,800 --> 00:56:49,520
Speaker 1: can happen to you. I wish the man the best,

1095
00:56:49,520 --> 00:56:51,640
Speaker 1: but you know, nobody on earth would tell you that

1096
00:56:51,680 --> 00:56:52,960
Speaker 1: the best thing you can do after you have a

1097
00:56:52,960 --> 00:56:55,880
Speaker 1: stroke is continue to campaign on the campaign trail. So

1098
00:56:56,239 --> 00:56:59,400
Speaker 1: you know, each side has its own pluses and minuses.

1099
00:56:59,400 --> 00:57:01,319
Speaker 1: But I think it's just insane that things even got

1100
00:57:01,320 --> 00:57:03,800
Speaker 1: to this point, truly. All right, let's talk about housing.

1101
00:57:03,920 --> 00:57:06,480
Speaker 1: This is a hilarious study, Crystal you found. Let's put

1102
00:57:06,480 --> 00:57:09,399
Speaker 1: this up there on the screen, which is that right now,

1103
00:57:09,520 --> 00:57:12,960
Speaker 1: obviously we're in the middle of a housing for Facebook

1104
00:57:13,040 --> 00:57:15,839
Speaker 1: or their platforms too. Where did that comes from? Mind? Oh,

1105
00:57:15,840 --> 00:57:17,680
Speaker 1: that's in your end? Like, what the hell is? Thats okay?

1106
00:57:17,720 --> 00:57:20,680
Speaker 1: All right? Three two one. Right now, we're obviously in

1107
00:57:20,720 --> 00:57:23,120
Speaker 1: the middle of a housing slow down, and it turns

1108
00:57:23,160 --> 00:57:25,200
Speaker 1: out that a lot of people are actually pretty happy

1109
00:57:25,200 --> 00:57:28,280
Speaker 1: about that. So right now, seventy eight percent of Americans

1110
00:57:28,360 --> 00:57:31,440
Speaker 1: expect to have a housing market crash. This is according

1111
00:57:31,480 --> 00:57:33,760
Speaker 1: to the latest Consumer Affairs Study, which is a major

1112
00:57:33,800 --> 00:57:37,160
Speaker 1: consumer information service that businesses buy in order to tell

1113
00:57:37,160 --> 00:57:40,560
Speaker 1: what consumer sentiment is. However, sixty three percent of those

1114
00:57:40,600 --> 00:57:45,040
Speaker 1: people actually want to see a housing crash, and if

1115
00:57:45,040 --> 00:57:48,280
Speaker 1: you dig deeper, seventy five percent of people say they

1116
00:57:48,360 --> 00:57:52,440
Speaker 1: have cash stored away to buy a house should the

1117
00:57:52,560 --> 00:57:57,400
Speaker 1: market crash. They actually have an actual crash savings account

1118
00:57:57,720 --> 00:58:00,680
Speaker 1: dig even deeper than that, and you find that the

1119
00:58:00,720 --> 00:58:04,520
Speaker 1: youngest generation of adults, Generation Z, is actually the most

1120
00:58:04,600 --> 00:58:09,080
Speaker 1: eager for the crash. Eighty four percent are hoping for

1121
00:58:09,240 --> 00:58:12,520
Speaker 1: housing crash and actually have some money that is saved

1122
00:58:12,600 --> 00:58:16,240
Speaker 1: up specifically in order to try and take advantage should

1123
00:58:16,360 --> 00:58:19,240
Speaker 1: this all happen. And look, perhaps they will get their wish.

1124
00:58:19,320 --> 00:58:21,960
Speaker 1: Let's put this up there that US home builder confidence

1125
00:58:22,000 --> 00:58:24,680
Speaker 1: right now is at the worst slump since two thousand

1126
00:58:24,760 --> 00:58:27,560
Speaker 1: and seven. As I actually have said before, that's a

1127
00:58:27,600 --> 00:58:31,360
Speaker 1: big problem because home builder confidence means that people who

1128
00:58:31,360 --> 00:58:34,080
Speaker 1: are let's say, like halfway through a project may actually

1129
00:58:34,080 --> 00:58:37,120
Speaker 1: not finish their project. And if they don't finish their project,

1130
00:58:37,320 --> 00:58:40,000
Speaker 1: then we are going to continue to having massive housing

1131
00:58:40,040 --> 00:58:42,840
Speaker 1: shortage across the nation. But I just think it's I mean,

1132
00:58:42,840 --> 00:58:45,040
Speaker 1: when is the last time that you've had a sizeable

1133
00:58:45,120 --> 00:58:47,080
Speaker 1: chunk of Americans who are like, no, I want these

1134
00:58:47,160 --> 00:58:49,600
Speaker 1: markets to crash. And I think it's because of the

1135
00:58:49,640 --> 00:58:52,840
Speaker 1: disparate ownership, which is predominantly it's the wealth class and

1136
00:58:52,920 --> 00:58:56,160
Speaker 1: boomers who hold property. Everybody else is frozen out of

1137
00:58:56,160 --> 00:58:59,280
Speaker 1: the market or frozen out far more so than they

1138
00:58:59,320 --> 00:59:01,880
Speaker 1: have been in previous generations. So they're like, yeah, screw you,

1139
00:59:01,960 --> 00:59:04,320
Speaker 1: I want this thing to crash so that I can

1140
00:59:04,360 --> 00:59:06,480
Speaker 1: buy in. And especially gen Z. I mean for gen Z,

1141
00:59:06,840 --> 00:59:10,080
Speaker 1: they don't have a chance of buying a house like realistically,

1142
00:59:10,120 --> 00:59:14,040
Speaker 1: on average, even if you live in you know, like

1143
00:59:14,080 --> 00:59:18,680
Speaker 1: a normal metropolitan area, it is just mostly unattainable without

1144
00:59:18,920 --> 00:59:21,280
Speaker 1: decades of savings. And if you have student debt or

1145
00:59:21,360 --> 00:59:23,960
Speaker 1: credit card debt, it's almost entirely out of the question. Yeah,

1146
00:59:24,120 --> 00:59:26,960
Speaker 1: I mean, this is becoming the real dividing the real

1147
00:59:27,000 --> 00:59:30,200
Speaker 1: class dividing line is, you know, asset owners and not

1148
00:59:30,400 --> 00:59:33,200
Speaker 1: And of course, the primary asset that most Americans own

1149
00:59:33,440 --> 00:59:36,240
Speaker 1: is a home. If you aren't able to get your

1150
00:59:36,280 --> 00:59:40,320
Speaker 1: foot in that door of home ownership, it becomes very

1151
00:59:40,320 --> 00:59:42,960
Speaker 1: difficult for you to sort of establish that, you know,

1152
00:59:43,080 --> 00:59:45,600
Speaker 1: a base of some sort of net wealth, a base

1153
00:59:45,640 --> 00:59:49,560
Speaker 1: of financial middle class or working class stability. And so

1154
00:59:49,960 --> 00:59:53,120
Speaker 1: I have been wondering, as we've been covering the housing

1155
00:59:53,160 --> 00:59:55,880
Speaker 1: market a lot here, as you guys know, I've actually

1156
00:59:55,920 --> 00:59:58,640
Speaker 1: been wondering about these numbers of like, how many people

1157
00:59:58,680 --> 01:00:02,800
Speaker 1: are listening to this and that the housing prices and

1158
01:00:02,880 --> 01:00:06,360
Speaker 1: the market crashes, because then that gives them some hope

1159
01:00:06,360 --> 01:00:09,000
Speaker 1: and possibility that they will be able to, at some

1160
01:00:09,160 --> 01:00:12,360
Speaker 1: point in their life also buy a home and have

1161
01:00:12,440 --> 01:00:15,280
Speaker 1: the stability that can come with that, and now we

1162
01:00:15,360 --> 01:00:17,400
Speaker 1: have the numbers to back it up. So I did

1163
01:00:17,400 --> 01:00:19,600
Speaker 1: think that was really interesting. I mean, the problem, of course,

1164
01:00:19,720 --> 01:00:23,360
Speaker 1: is that the reason that the housing market is falling

1165
01:00:23,400 --> 01:00:26,920
Speaker 1: off and you have this, you know, homebuilder sentiment at

1166
01:00:26,920 --> 01:00:29,480
Speaker 1: the lowest level since the housing market collapsed in two

1167
01:00:29,520 --> 01:00:32,920
Speaker 1: thousand and seven, is because as the Fed hikes rates,

1168
01:00:32,920 --> 01:00:34,880
Speaker 1: the thing that is most sensitive to it is the

1169
01:00:34,920 --> 01:00:37,880
Speaker 1: mortgage rates. And as the mortgage rates go up, Yeah,

1170
01:00:37,960 --> 01:00:40,480
Speaker 1: the top line number might be going down, but in

1171
01:00:40,600 --> 01:00:43,480
Speaker 1: terms of your monthly payment, that is going up and up.

1172
01:00:43,600 --> 01:00:47,480
Speaker 1: So it's really you know, even if the market continues

1173
01:00:47,520 --> 01:00:51,280
Speaker 1: to go down and have problems and housing overall, the

1174
01:00:51,320 --> 01:00:55,040
Speaker 1: sales price becomes more affordable, it doesn't necessarily mean that

1175
01:00:55,080 --> 01:00:56,560
Speaker 1: it's going to be easier for you to get your

1176
01:00:56,560 --> 01:00:59,520
Speaker 1: foot in the door. And then the other problem here,

1177
01:00:59,600 --> 01:01:02,400
Speaker 1: of course, is that you know, the real issues we

1178
01:01:02,440 --> 01:01:05,880
Speaker 1: have in our economy are about supply, about a lack

1179
01:01:05,920 --> 01:01:07,880
Speaker 1: of supply, and that is certainly the case in the

1180
01:01:07,880 --> 01:01:10,800
Speaker 1: housing market, where we have not built sufficient housing stock,

1181
01:01:10,920 --> 01:01:15,439
Speaker 1: especially post the last financial crash to accommodate a large

1182
01:01:15,440 --> 01:01:19,280
Speaker 1: and growing population. When you have those interest rates going up,

1183
01:01:19,440 --> 01:01:22,760
Speaker 1: you have a slump in home building, and that then

1184
01:01:23,080 --> 01:01:26,800
Speaker 1: again exacerbates the price and the shortage in the home

1185
01:01:26,840 --> 01:01:30,640
Speaker 1: supply market. So there's a lot of complicating factors here

1186
01:01:30,760 --> 01:01:33,440
Speaker 1: that make it unlikely that even if the market really

1187
01:01:33,480 --> 01:01:36,040
Speaker 1: does crash, unless you're in a position it just plunk down,

1188
01:01:36,040 --> 01:01:38,760
Speaker 1: you know, five hundred K and cash, that you're still

1189
01:01:38,760 --> 01:01:41,520
Speaker 1: going to be in a very difficult position when it

1190
01:01:41,560 --> 01:01:44,560
Speaker 1: comes to acquiring a home. And I think that is

1191
01:01:44,600 --> 01:01:48,080
Speaker 1: reflected in the concerns of renters as well. Ninety one

1192
01:01:48,080 --> 01:01:51,520
Speaker 1: percent of them fear that increased mortgage rates will price

1193
01:01:51,560 --> 01:01:55,200
Speaker 1: them out of the home buying market. So yeah, I

1194
01:01:55,200 --> 01:01:57,480
Speaker 1: mean that is definitely the case. Yeah, I mean your

1195
01:01:57,800 --> 01:02:00,840
Speaker 1: caution is warranted, which is that, yeah, look may come down, Like,

1196
01:02:00,840 --> 01:02:02,360
Speaker 1: how are you supposed to afford it if the price

1197
01:02:02,400 --> 01:02:05,080
Speaker 1: does go down? Do you have enough cash to make

1198
01:02:05,120 --> 01:02:06,840
Speaker 1: sure that you don't do that? Otherwise you end up

1199
01:02:06,840 --> 01:02:09,560
Speaker 1: paying hundreds of thousands of dollars in interests and just

1200
01:02:09,600 --> 01:02:12,120
Speaker 1: because you may have you know, people said that average

1201
01:02:12,120 --> 01:02:14,640
Speaker 1: person has like fifteen grand or some people who are

1202
01:02:14,720 --> 01:02:17,480
Speaker 1: saving for a house have something like fifteen grand saved away.

1203
01:02:17,520 --> 01:02:19,160
Speaker 1: I mean, how are you supposed to make any sort

1204
01:02:19,200 --> 01:02:22,200
Speaker 1: of down payment with only fifteen thousand dollars or even

1205
01:02:22,240 --> 01:02:24,680
Speaker 1: twenty nine thousand dollars, which is that the on average

1206
01:02:24,720 --> 01:02:27,680
Speaker 1: for anybody who's not gen Z. So look, it's a

1207
01:02:27,680 --> 01:02:30,600
Speaker 1: cluster basically all the way around. Because at the same time,

1208
01:02:30,640 --> 01:02:33,080
Speaker 1: I mean, you don't want retirees to see their main

1209
01:02:33,880 --> 01:02:36,600
Speaker 1: source of wealth just dwindle away, possibly what they were

1210
01:02:36,600 --> 01:02:38,760
Speaker 1: betting on in order to make sure that they didn't

1211
01:02:38,760 --> 01:02:41,120
Speaker 1: have to work anymore. So all the way, it's just

1212
01:02:41,160 --> 01:02:45,040
Speaker 1: not good. The solution generally is actually probably lower rates

1213
01:02:45,040 --> 01:02:47,840
Speaker 1: and just a ton more housing. How you achieved that

1214
01:02:48,280 --> 01:02:52,040
Speaker 1: without also feeding the wealth gap? I genuinely hit seven nos.

1215
01:02:51,880 --> 01:02:56,240
Speaker 1: It it's like to keep the rates low than mortgages affordable,

1216
01:02:57,160 --> 01:03:00,560
Speaker 1: and then you need an addition to the government help

1217
01:03:00,560 --> 01:03:03,280
Speaker 1: in terms of securing a mortgage. You also need some

1218
01:03:03,320 --> 01:03:05,280
Speaker 1: help with that initial down payment so that it's not

1219
01:03:05,360 --> 01:03:07,200
Speaker 1: just people of rich parents who are like fronting their

1220
01:03:07,240 --> 01:03:09,360
Speaker 1: down payment that can get a house. And then you

1221
01:03:09,480 --> 01:03:13,560
Speaker 1: need rules basically blocking permanent capital from buying up the

1222
01:03:13,640 --> 01:03:17,120
Speaker 1: existing available housing stock because that's the other problem. And

1223
01:03:17,280 --> 01:03:18,920
Speaker 1: as you said, you need to build a whole lot

1224
01:03:18,960 --> 01:03:22,520
Speaker 1: more housing. So I guess the bottom line here is,

1225
01:03:22,600 --> 01:03:24,280
Speaker 1: you know, the same moral of the story that we

1226
01:03:24,920 --> 01:03:26,840
Speaker 1: have a lot of times when we talk about the FED,

1227
01:03:26,880 --> 01:03:30,200
Speaker 1: which is that like the FED, messing around with interest

1228
01:03:30,280 --> 01:03:32,160
Speaker 1: rates is not going to fix the problems in the

1229
01:03:32,160 --> 01:03:35,040
Speaker 1: housing market. They don't have the tools at their disposal

1230
01:03:35,360 --> 01:03:38,320
Speaker 1: to you know, create a lot more housing stock, to

1231
01:03:38,400 --> 01:03:41,560
Speaker 1: help people get that initial down payment, to block private

1232
01:03:41,600 --> 01:03:45,160
Speaker 1: equity and other permanent capital for buying up entire communities

1233
01:03:45,200 --> 01:03:47,080
Speaker 1: so that you know, they're able to come in with

1234
01:03:47,120 --> 01:03:50,640
Speaker 1: all cash and basically muscle out every first time home

1235
01:03:50,680 --> 01:03:54,000
Speaker 1: buyer from the market. Those are things that only legislators

1236
01:03:54,000 --> 01:03:57,400
Speaker 1: in Congress and you know, some executive action can do.

1237
01:03:57,720 --> 01:04:00,480
Speaker 1: And since we have a moralisticsfunctional political sism, that is

1238
01:04:00,520 --> 01:04:02,480
Speaker 1: not really on the table at this point. Yeah. And

1239
01:04:02,600 --> 01:04:05,640
Speaker 1: you know, hilariously enough, literally as we're filming this, that

1240
01:04:05,960 --> 01:04:08,200
Speaker 1: US housing start numbers came out in terms of the

1241
01:04:08,280 --> 01:04:11,400
Speaker 1: number of building permits and starts on single family housing,

1242
01:04:11,440 --> 01:04:14,360
Speaker 1: and it plunged eighteen point eight percent year over year

1243
01:04:14,600 --> 01:04:17,560
Speaker 1: just for this month and nine percent in the last month. See,

1244
01:04:17,600 --> 01:04:21,240
Speaker 1: and this is the problem with the FED increasing interest

1245
01:04:21,320 --> 01:04:24,600
Speaker 1: rates is it actually it's not just that it's you know,

1246
01:04:24,720 --> 01:04:27,680
Speaker 1: dealing with some of the wrong problems, causing a lot

1247
01:04:27,680 --> 01:04:30,200
Speaker 1: of pain for people and potentially triggering a recession. It

1248
01:04:30,360 --> 01:04:34,600
Speaker 1: actually is actively exacerbating the supply issues that led to

1249
01:04:34,640 --> 01:04:37,120
Speaker 1: inflation in some of these categories to start with. And

1250
01:04:37,120 --> 01:04:39,200
Speaker 1: I think that's a perfect example of that. Yeah, there

1251
01:04:39,200 --> 01:04:40,959
Speaker 1: we go. All right, let's talk about the New York Times.

1252
01:04:41,040 --> 01:04:43,880
Speaker 1: This is an interesting grab from Ryan Graham, and it

1253
01:04:44,040 --> 01:04:48,160
Speaker 1: just is a very good preview into elite media how

1254
01:04:48,200 --> 01:04:51,760
Speaker 1: these circles all work. So New York has had a

1255
01:04:51,760 --> 01:04:54,440
Speaker 1: lot of redistricting, specifically the City of New York, with

1256
01:04:54,520 --> 01:04:58,240
Speaker 1: some major battles Jerry Nadler, Carolyn Monroney and others in

1257
01:04:58,360 --> 01:05:01,440
Speaker 1: major primarys going on right now, and in one of

1258
01:05:01,440 --> 01:05:04,120
Speaker 1: those in the New York tenth district, there has been

1259
01:05:04,160 --> 01:05:08,360
Speaker 1: a massive fight for not only the New York Times endorsement,

1260
01:05:08,440 --> 01:05:11,320
Speaker 1: but for all of the major figures in the area.

1261
01:05:11,480 --> 01:05:14,040
Speaker 1: And the New York Times has come out and endorsed

1262
01:05:14,240 --> 01:05:17,560
Speaker 1: Danny Goldman. You guys might remember Danny Goldman as the

1263
01:05:17,600 --> 01:05:20,960
Speaker 1: prosecutor for impeachment one. He made a lot of rounds

1264
01:05:20,960 --> 01:05:24,360
Speaker 1: on MSNBC former DOJ figure. Obviously, that made him a

1265
01:05:24,400 --> 01:05:27,360
Speaker 1: little bit of a resistance media figure, which is perfectly

1266
01:05:27,360 --> 01:05:30,240
Speaker 1: poised to run in the City of New York for Congress. Well,

1267
01:05:30,400 --> 01:05:32,280
Speaker 1: it turns out, let's put this up there on the screen,

1268
01:05:32,480 --> 01:05:35,320
Speaker 1: that The Times has endorsed Danny Goldman out of several

1269
01:05:35,360 --> 01:05:38,720
Speaker 1: candidates in the race, and in their endorsement they failed

1270
01:05:38,720 --> 01:05:42,360
Speaker 1: to mention that he also happens to be a family

1271
01:05:42,400 --> 01:05:45,840
Speaker 1: friend of the Salzburger family. This is per Ryan. Ryan

1272
01:05:45,880 --> 01:05:48,800
Speaker 1: points out that Goldman actually went to Sidwell Friends here

1273
01:05:48,800 --> 01:05:51,240
Speaker 1: in Washington, DC, which is where the President's kids usually

1274
01:05:51,240 --> 01:05:54,160
Speaker 1: go with several of the Salzburger that his mother was

1275
01:05:54,200 --> 01:05:57,560
Speaker 1: actually chairman of the board of the trustees for that school,

1276
01:05:57,760 --> 01:06:01,640
Speaker 1: that his Kathy Salzburger, who also served on that board,

1277
01:06:01,880 --> 01:06:05,040
Speaker 1: that their son actually were just a year or so behind,

1278
01:06:05,280 --> 01:06:08,280
Speaker 1: and that their son is now an executive over at

1279
01:06:08,360 --> 01:06:11,760
Speaker 1: the Times Company. And that last year, after Goldman dropped

1280
01:06:11,760 --> 01:06:14,200
Speaker 1: out of the race, his father actually gave him a

1281
01:06:14,280 --> 01:06:16,840
Speaker 1: thousand dollars. So a member of the family that owns

1282
01:06:17,080 --> 01:06:20,320
Speaker 1: The New York Times actually gave this guy's race a

1283
01:06:20,440 --> 01:06:23,160
Speaker 1: thousand bucks. Now, look, I'm not alleging some sort of

1284
01:06:23,200 --> 01:06:27,680
Speaker 1: grand conspiracy. But what Ryan points out is they did

1285
01:06:27,680 --> 01:06:32,640
Speaker 1: not even disclose this family relationship. Right now, Our producer

1286
01:06:32,720 --> 01:06:34,800
Speaker 1: James apparently is from the district, so he was telling us,

1287
01:06:34,840 --> 01:06:36,040
Speaker 1: he's like, well, you know, if you look at the

1288
01:06:36,080 --> 01:06:39,040
Speaker 1: ideology of the candidates, it doesn't even do you know,

1289
01:06:39,280 --> 01:06:41,400
Speaker 1: it actually does align in terms of you know, it

1290
01:06:41,440 --> 01:06:44,120
Speaker 1: would make sense some resistance figure gets endorsed by the Times.

1291
01:06:44,240 --> 01:06:47,240
Speaker 1: And it's like, yeah, okay, fine on ideological grounds, but

1292
01:06:47,320 --> 01:06:51,200
Speaker 1: you still have to disclose and admit these things. And

1293
01:06:51,200 --> 01:06:53,400
Speaker 1: I just think it is a perfect preview into like

1294
01:06:53,480 --> 01:06:58,800
Speaker 1: these most elite you know, New New England almost circles

1295
01:06:59,240 --> 01:07:01,840
Speaker 1: of these peace people, how they covord amongst each other,

1296
01:07:01,880 --> 01:07:04,920
Speaker 1: giving money and then just happen to get the Times endorsement.

1297
01:07:04,920 --> 01:07:06,760
Speaker 1: Maybe he deserved the Times endorsement in fact, you know,

1298
01:07:06,760 --> 01:07:09,200
Speaker 1: of looking at the candidates and others, he probably did

1299
01:07:09,400 --> 01:07:13,200
Speaker 1: align most again, completely fine, but you do need to

1300
01:07:13,240 --> 01:07:16,160
Speaker 1: disclose these types of connections that you have, especially when

1301
01:07:16,160 --> 01:07:18,160
Speaker 1: you bill yourself as the whole you know, paper of

1302
01:07:18,200 --> 01:07:20,360
Speaker 1: records yea and all that. And apparently in their coverage

1303
01:07:20,360 --> 01:07:22,120
Speaker 1: and that's what Ryan points to. It's not like they

1304
01:07:22,160 --> 01:07:24,000
Speaker 1: were all that fair to his opponents. That's the other

1305
01:07:24,160 --> 01:07:25,840
Speaker 1: that's the other issue. Yeah, I mean, dude does a

1306
01:07:25,880 --> 01:07:28,040
Speaker 1: cringe neo lib in the New York Times, loves cringing

1307
01:07:28,160 --> 01:07:30,600
Speaker 1: neo lib. But that doesn't mean you can't. You can

1308
01:07:30,680 --> 01:07:32,479
Speaker 1: just like bury the fact that there is a direct

1309
01:07:32,520 --> 01:07:36,439
Speaker 1: connection to your paper. I think it's also like there's

1310
01:07:36,840 --> 01:07:39,840
Speaker 1: some sad statements here too, because this guy is leading

1311
01:07:39,880 --> 01:07:43,880
Speaker 1: the field. He is an heir to the Levi Strauss fortune,

1312
01:07:44,520 --> 01:07:47,720
Speaker 1: one of a number of big money airs that the

1313
01:07:47,720 --> 01:07:52,840
Speaker 1: Democrats are elevating this primary season. He would actually, if

1314
01:07:52,880 --> 01:07:55,440
Speaker 1: he's elected, he would be one of the wealthiest members

1315
01:07:55,480 --> 01:07:58,680
Speaker 1: of Congress. And as you pointed out, his big claim

1316
01:07:58,720 --> 01:08:01,200
Speaker 1: to fame was, you know, being the lawyer on Donald

1317
01:08:01,240 --> 01:08:03,760
Speaker 1: Trump's first impeachment, which you know ultimately wasn't able to

1318
01:08:03,760 --> 01:08:08,480
Speaker 1: secure a conviction, so you know, apparently against it. The

1319
01:08:09,320 --> 01:08:13,280
Speaker 1: other storyline here is and actually we need to get

1320
01:08:13,360 --> 01:08:15,120
Speaker 1: Ryan on to break down all of these New York

1321
01:08:15,120 --> 01:08:17,240
Speaker 1: crazes because he's just like super in the weeds on

1322
01:08:17,320 --> 01:08:20,559
Speaker 1: all of this stuff. But mondere Jones, who's a squad

1323
01:08:20,600 --> 01:08:23,439
Speaker 1: member who you recall, there was a whole thing that

1324
01:08:23,520 --> 01:08:27,600
Speaker 1: we did cover here about when the district lines were redrawn.

1325
01:08:28,360 --> 01:08:32,560
Speaker 1: Sean Patrick Maloney, who is the head of the Democratic

1326
01:08:32,600 --> 01:08:35,240
Speaker 1: campaign Congressional Committee, He's the one who's supposed to be

1327
01:08:35,240 --> 01:08:38,000
Speaker 1: in charge of making sure Democrats keep control of the House.

1328
01:08:38,400 --> 01:08:43,240
Speaker 1: He immediately, without talking to anyone, announces for this district

1329
01:08:43,320 --> 01:08:46,320
Speaker 1: that Mondere Jones also lives in, and so there was

1330
01:08:46,360 --> 01:08:49,080
Speaker 1: this whole question of like, dude, are you really just

1331
01:08:49,160 --> 01:08:52,240
Speaker 1: without like talking to him, just bigfooting him like this,

1332
01:08:52,320 --> 01:08:55,320
Speaker 1: And then what ended up happening is so he decides

1333
01:08:55,360 --> 01:08:57,559
Speaker 1: to run for this district. Jamal Bowman was also involved.

1334
01:08:57,600 --> 01:08:59,880
Speaker 1: He decides to run for a different district, and then

1335
01:09:00,240 --> 01:09:03,200
Speaker 1: Jones decides to run for this district. But it looks

1336
01:09:03,240 --> 01:09:06,040
Speaker 1: like it's not going that well for Mondair Jones, I

1337
01:09:06,080 --> 01:09:08,720
Speaker 1: think partly because he doesn't live in this district and

1338
01:09:08,760 --> 01:09:10,960
Speaker 1: he was sort of forced into running in this area

1339
01:09:11,040 --> 01:09:15,160
Speaker 1: by the big footing of Sean Patrick Maloney. So there's

1340
01:09:15,200 --> 01:09:17,920
Speaker 1: like a little subplot there as well. Now, I mean,

1341
01:09:17,920 --> 01:09:20,519
Speaker 1: he still is still is in the hunt, still has

1342
01:09:20,520 --> 01:09:23,120
Speaker 1: a shot, but some of the other contenders. I was

1343
01:09:23,120 --> 01:09:24,960
Speaker 1: talking to Ryan about this last night, because again he's

1344
01:09:25,000 --> 01:09:26,720
Speaker 1: followed this more closely than I have. Some of the

1345
01:09:26,760 --> 01:09:29,439
Speaker 1: other contenders have real basis of support and are long

1346
01:09:29,560 --> 01:09:34,080
Speaker 1: time you know, political figures in this district specifically, and

1347
01:09:34,120 --> 01:09:37,559
Speaker 1: so they've been able to perform better than Mondair Jones

1348
01:09:37,600 --> 01:09:39,720
Speaker 1: as being you know, not from this area and not

1349
01:09:39,760 --> 01:09:43,479
Speaker 1: actually living like right in Manhattan in the city. So anyway,

1350
01:09:43,680 --> 01:09:45,640
Speaker 1: that's as much as I know about it. But you know,

1351
01:09:45,720 --> 01:09:47,880
Speaker 1: you do have to love Democrats going for this like

1352
01:09:48,040 --> 01:09:51,679
Speaker 1: big money political heir who's claim to fame as Donald

1353
01:09:51,680 --> 01:09:55,400
Speaker 1: Trump impeachment lawyer. Also, if you read the actual endorsement itself,

1354
01:09:55,600 --> 01:09:58,760
Speaker 1: what they point to is that they're like his experience

1355
01:09:59,080 --> 01:10:04,599
Speaker 1: in the his experience prosecuting Donald Trump in Congress will

1356
01:10:04,640 --> 01:10:07,800
Speaker 1: make him well equipped to fight for what New Yorkers want,

1357
01:10:08,080 --> 01:10:11,400
Speaker 1: when actually there are people in the primary who are

1358
01:10:11,439 --> 01:10:16,680
Speaker 1: already representatives in Congress, so they have far more experience

1359
01:10:16,920 --> 01:10:22,040
Speaker 1: actually legislating. And all they point to is he's a lawyer.

1360
01:10:22,520 --> 01:10:27,080
Speaker 1: He was on TV and he delivered this powerful impeachment

1361
01:10:27,160 --> 01:10:30,760
Speaker 1: case against Trump number one. It did not actually lead

1362
01:10:30,760 --> 01:10:35,160
Speaker 1: to a conviction power Republicans, but also so powerful that

1363
01:10:35,240 --> 01:10:38,760
Speaker 1: it led to the highest GOP identification ever in January

1364
01:10:38,960 --> 01:10:42,400
Speaker 1: of twenty twenty. So politically mim Trump's highest approval ratings

1365
01:10:42,800 --> 01:10:46,360
Speaker 1: rule ratings during Ukraine Gate. So combine all of that,

1366
01:10:46,360 --> 01:10:49,879
Speaker 1: that is the case. Once again, it probably does align

1367
01:10:49,920 --> 01:10:52,160
Speaker 1: most with the ideology of the New York Times. But

1368
01:10:52,200 --> 01:10:55,240
Speaker 1: you do need to disclose some of these family connections,

1369
01:10:55,280 --> 01:10:57,320
Speaker 1: and you know, they don't disclose any of that, par

1370
01:10:57,439 --> 01:10:59,680
Speaker 1: for the course, frankly for most of them. Yeah, what's

1371
01:10:59,720 --> 01:11:01,360
Speaker 1: the same saying it's a small club and you win

1372
01:11:01,400 --> 01:11:06,400
Speaker 1: in it. Oh, yes, all right, Zager, what are you

1373
01:11:06,400 --> 01:11:08,040
Speaker 1: look at it? Well, it's been nearly two and a

1374
01:11:08,040 --> 01:11:10,320
Speaker 1: half years since COVID hit the world, and really only

1375
01:11:10,360 --> 01:11:13,200
Speaker 1: six months or so things thing got fully back to

1376
01:11:13,280 --> 01:11:16,439
Speaker 1: normal in most of American life. Yes, some annoying places

1377
01:11:16,479 --> 01:11:18,639
Speaker 1: ask you to wear a mask, many people for reasons

1378
01:11:18,640 --> 01:11:20,920
Speaker 1: that genuinely mystify me, and continue to wear them on

1379
01:11:21,000 --> 01:11:23,759
Speaker 1: airplanes or in grocery stores or strap them to kids' faces.

1380
01:11:23,920 --> 01:11:26,000
Speaker 1: But look, it's a free country. They can do as

1381
01:11:26,040 --> 01:11:28,880
Speaker 1: they wish. It is, however, important to remember that it

1382
01:11:28,920 --> 01:11:31,040
Speaker 1: really was not all that long ago that we lived

1383
01:11:31,040 --> 01:11:33,719
Speaker 1: in one of the most prolonged moral panics of our time,

1384
01:11:34,040 --> 01:11:36,599
Speaker 1: when it seemed that the rules were genuinely being cast

1385
01:11:36,640 --> 01:11:39,799
Speaker 1: out by those in power to institute a censorship resim

1386
01:11:39,880 --> 01:11:42,680
Speaker 1: that we have yet to fully grapple with some of it.

1387
01:11:42,760 --> 01:11:44,800
Speaker 1: To be honest, I can understand we were dealing with

1388
01:11:44,840 --> 01:11:47,240
Speaker 1: the disease we knew nothing about. The people in power

1389
01:11:47,240 --> 01:11:50,800
Speaker 1: had yet to fully lose their credibility debates aside around

1390
01:11:50,880 --> 01:11:54,840
Speaker 1: hydroxylchloroquin or ivermectin, when some people on YouTube were legitimately

1391
01:11:54,920 --> 01:11:58,439
Speaker 1: recommending imbibing beach or other poisons, of course it made

1392
01:11:58,520 --> 01:12:02,000
Speaker 1: sense to act quickly. Regime, however, struck at a far

1393
01:12:02,120 --> 01:12:05,759
Speaker 1: more complicated debate very fast around the efficacy of masking

1394
01:12:05,960 --> 01:12:09,320
Speaker 1: around various drugs, including and up to literally removing medical

1395
01:12:09,320 --> 01:12:13,120
Speaker 1: doctor's testimony before Congress, and then debates around the efficacy

1396
01:12:13,160 --> 01:12:17,000
Speaker 1: of social policy like lockdowns or school closure or vaccine mandates.

1397
01:12:17,240 --> 01:12:20,720
Speaker 1: The rapidity with that escalated was of course highlighted by

1398
01:12:20,720 --> 01:12:23,320
Speaker 1: this show at the time, but the single most egregious

1399
01:12:23,320 --> 01:12:26,440
Speaker 1: act occurred really only months into the new Biden administration

1400
01:12:26,800 --> 01:12:29,320
Speaker 1: in one of the most orwellian government debates that had

1401
01:12:29,360 --> 01:12:34,400
Speaker 1: come out yet. Let's relive that experience. Providing for Facebook

1402
01:12:34,479 --> 01:12:37,519
Speaker 1: or other platforms to measure and publicly share the impact

1403
01:12:37,520 --> 01:12:41,200
Speaker 1: of misinformation on their platform and the audience. It's reaching

1404
01:12:41,840 --> 01:12:45,120
Speaker 1: also with the public, with all of you, to create

1405
01:12:45,439 --> 01:12:49,400
Speaker 1: robust enforcement strategies that bridge their properties and provide transparency

1406
01:12:49,400 --> 01:12:52,439
Speaker 1: about rules. You shouldn't be banned from one platform and

1407
01:12:52,520 --> 01:12:58,240
Speaker 1: not others if you for providing misinformation out there. That

1408
01:12:58,360 --> 01:13:00,880
Speaker 1: was over a year ago at this point, sixteenth twenty

1409
01:13:00,920 --> 01:13:02,840
Speaker 1: twenty one. We denounced it at the time as a

1410
01:13:02,840 --> 01:13:04,920
Speaker 1: direct call by the White House and the US government

1411
01:13:05,120 --> 01:13:09,040
Speaker 1: to censor American citizens into direct content moderation online, well

1412
01:13:09,080 --> 01:13:12,479
Speaker 1: outside their purview. And while we denounced it as dangerous rhetoric,

1413
01:13:12,680 --> 01:13:15,280
Speaker 1: we now know that it actually went much further than that,

1414
01:13:15,400 --> 01:13:19,240
Speaker 1: in a landmark case involving Alex Berenson. Berenson, you might know,

1415
01:13:19,400 --> 01:13:21,840
Speaker 1: is a prominent COVID skeptic. To be honest, I have

1416
01:13:21,920 --> 01:13:24,880
Speaker 1: always had a complicated relationship with Berenson. On the one hand,

1417
01:13:24,920 --> 01:13:27,479
Speaker 1: he's probably one of the most important modern figures in

1418
01:13:27,479 --> 01:13:30,840
Speaker 1: reigniting the debate away from reefer madness and highlighting the

1419
01:13:30,840 --> 01:13:33,519
Speaker 1: fact that marijuana in fact it does have consequences at

1420
01:13:33,560 --> 01:13:36,360
Speaker 1: scale for millions of people. On the other he got

1421
01:13:36,400 --> 01:13:38,920
Speaker 1: a lot wrong during this pandemic. But at a basic level,

1422
01:13:38,960 --> 01:13:41,559
Speaker 1: what I really think about Bronson does not matter. He's

1423
01:13:41,600 --> 01:13:44,800
Speaker 1: an American citizen. He's a well credentialed reporter who used

1424
01:13:44,800 --> 01:13:47,040
Speaker 1: to work at the New York Times, and he deserves

1425
01:13:47,080 --> 01:13:49,840
Speaker 1: the right to free speech like any of us. Bearnson,

1426
01:13:49,920 --> 01:13:53,080
Speaker 1: who runs a very popular substack and gained prominence during

1427
01:13:53,120 --> 01:13:57,080
Speaker 1: the pandemic, was permanently suspended from Twitter on August twenty eighth,

1428
01:13:57,120 --> 01:14:01,600
Speaker 1: twenty twenty one, approximately one month after the White How statement. Allegedly,

1429
01:14:01,640 --> 01:14:05,240
Speaker 1: Bearnson was suspended for quote repeated violations of our COVID

1430
01:14:05,320 --> 01:14:08,559
Speaker 1: nineteen misinformation rules on Twitter. And that should have been

1431
01:14:08,600 --> 01:14:12,320
Speaker 1: that right, but then something really crazy happened. Bearnson about

1432
01:14:12,320 --> 01:14:15,599
Speaker 1: a month ago had his account reinstated. Not only that,

1433
01:14:15,920 --> 01:14:18,400
Speaker 1: his allegation of a conspiracy by both Twitter and the

1434
01:14:18,520 --> 01:14:21,680
Speaker 1: US government to silence him actually does look to be

1435
01:14:21,840 --> 01:14:25,920
Speaker 1: completely true. Bearnson maintained throughout his suspension he would prove

1436
01:14:25,960 --> 01:14:29,200
Speaker 1: in court he was unjustly removed from the platform because

1437
01:14:29,240 --> 01:14:33,800
Speaker 1: Twitter arbitrarily changed its rules surrounding content moderation, despite assurances

1438
01:14:33,800 --> 01:14:36,280
Speaker 1: from an executives at the company he was not going

1439
01:14:36,280 --> 01:14:39,840
Speaker 1: to be targeted for censorship. And while that may sound outlandish,

1440
01:14:39,960 --> 01:14:43,000
Speaker 1: a federal judge at least agreed that his suit could

1441
01:14:43,080 --> 01:14:46,960
Speaker 1: proceed because he specifically did have evidence to the fact

1442
01:14:47,120 --> 01:14:49,800
Speaker 1: that he was at least guaranteed in part by someone

1443
01:14:49,840 --> 01:14:52,679
Speaker 1: at the company who would be not be taken off. Now, however,

1444
01:14:52,920 --> 01:14:55,640
Speaker 1: more information released by Berenson has come to light, and

1445
01:14:55,720 --> 01:14:59,920
Speaker 1: it's crazy. Bearnson revealed private internal messages from Twitter's slack

1446
01:15:00,160 --> 01:15:02,880
Speaker 1: in which employees are seen discussing the aftermath of a

1447
01:15:02,920 --> 01:15:06,040
Speaker 1: meeting between the White House and senior executives a Twitter.

1448
01:15:06,400 --> 01:15:09,160
Speaker 1: Inside those messages, after a member of the staff the

1449
01:15:09,240 --> 01:15:11,839
Speaker 1: staff asked how the White House meeting went, a senior

1450
01:15:11,880 --> 01:15:16,040
Speaker 1: exec replies, quote, overall pretty good. They had one really

1451
01:15:16,040 --> 01:15:19,479
Speaker 1: tough question about why Alex Berenson hasn't been kicked off

1452
01:15:19,520 --> 01:15:22,400
Speaker 1: the platform. What I just read you is a direct quote.

1453
01:15:22,439 --> 01:15:25,719
Speaker 1: They continue, quote they really wanted to know about Alex Berenson.

1454
01:15:26,000 --> 01:15:29,280
Speaker 1: Andy Slavitt suggested they had seen data viz. He was

1455
01:15:29,320 --> 01:15:32,479
Speaker 1: the epicenter of this info that radiated outwards to the

1456
01:15:32,479 --> 01:15:35,439
Speaker 1: persuadable public. So it's important to note in that same

1457
01:15:35,479 --> 01:15:38,360
Speaker 1: conversation that an executive wrote, quote, I have taken a

1458
01:15:38,400 --> 01:15:41,599
Speaker 1: pretty close look at his accounts. I don't think any

1459
01:15:41,640 --> 01:15:45,080
Speaker 1: of it is violative. As Bearnson notes in his sub stack,

1460
01:15:45,320 --> 01:15:48,719
Speaker 1: his reinstatement has now come after Twitter has been forced

1461
01:15:48,760 --> 01:15:51,400
Speaker 1: to acknowledge that by their own rules, he should not

1462
01:15:51,479 --> 01:15:54,439
Speaker 1: have been suspended for his claims around vaccine efficacy at

1463
01:15:54,479 --> 01:15:57,400
Speaker 1: the time. Now, for those who also don't know, Andy Slavitt,

1464
01:15:57,400 --> 01:15:59,719
Speaker 1: who was mentioned there at the time, was a senior

1465
01:15:59,720 --> 01:16:02,680
Speaker 1: advice and one of the most prominent members of the

1466
01:16:02,720 --> 01:16:06,120
Speaker 1: White House Pandemic Response Team, meaning that in April of

1467
01:16:06,120 --> 01:16:08,559
Speaker 1: twenty twenty one, at the time of this meeting, his

1468
01:16:08,720 --> 01:16:10,960
Speaker 1: capacity as a member of the United States government and

1469
01:16:11,000 --> 01:16:13,240
Speaker 1: advisor to the President of the United States, he was

1470
01:16:13,360 --> 01:16:17,280
Speaker 1: actively pressuring Twitter to ban Bearnson, and that in the

1471
01:16:17,320 --> 01:16:20,920
Speaker 1: same message, a Twitter executive said Bearnson was not violating

1472
01:16:20,920 --> 01:16:24,240
Speaker 1: the rules. Months later, as the vaccination campaign escalated and

1473
01:16:24,320 --> 01:16:27,200
Speaker 1: the rhetoric became more heated, Bearnson was banned, only to

1474
01:16:27,240 --> 01:16:29,640
Speaker 1: now return. Take a closer look at the graphic that

1475
01:16:29,680 --> 01:16:31,839
Speaker 1: the White House actually cited, and it becomes really crazy.

1476
01:16:32,000 --> 01:16:34,839
Speaker 1: You know who else is on there? Elon Musk, sports

1477
01:16:34,880 --> 01:16:39,320
Speaker 1: commentator Klay Travis, various anonymous Twitter accounts, even people like

1478
01:16:39,479 --> 01:16:43,160
Speaker 1: Charlie Kirk. The methodology of the graphic isn't even clear,

1479
01:16:43,439 --> 01:16:47,120
Speaker 1: and the extension of the logic is obvious if you're there.

1480
01:16:47,360 --> 01:16:49,600
Speaker 1: The government of the United States identified you at the

1481
01:16:49,640 --> 01:16:52,920
Speaker 1: time as a quote unquote disinformation spreader, and it was

1482
01:16:53,040 --> 01:16:55,680
Speaker 1: using it as power to get you kicked off of

1483
01:16:55,720 --> 01:16:59,920
Speaker 1: social media. The Jensaki statement actually becomes more sinister in retrospect.

1484
01:17:00,240 --> 01:17:03,439
Speaker 1: It was only the continuation of an internal war to

1485
01:17:03,520 --> 01:17:07,000
Speaker 1: pressure social media companies, a war that did actually work

1486
01:17:07,000 --> 01:17:09,400
Speaker 1: in this case. Here I urge you to take Bearnson

1487
01:17:09,439 --> 01:17:11,920
Speaker 1: out of it and to understand this as these are

1488
01:17:12,000 --> 01:17:15,360
Speaker 1: just American citizens. Their governments should not be in the

1489
01:17:15,400 --> 01:17:18,400
Speaker 1: business of deciding what they get to say and where

1490
01:17:18,439 --> 01:17:20,599
Speaker 1: they get to say it. Their job is to put

1491
01:17:20,640 --> 01:17:23,680
Speaker 1: out information. It is a job of Bearnson. People like

1492
01:17:23,720 --> 01:17:26,720
Speaker 1: myself and many others parse it, debate it, yell at

1493
01:17:26,760 --> 01:17:29,120
Speaker 1: each other, tell you what we think. Then it's up

1494
01:17:29,160 --> 01:17:32,839
Speaker 1: to you to decide that is foundational to a free country.

1495
01:17:33,040 --> 01:17:36,200
Speaker 1: The silence on this is now revealed a concerted campaign

1496
01:17:36,360 --> 01:17:39,840
Speaker 1: to target a journalists like Bearnson. It's outrageous and per

1497
01:17:39,880 --> 01:17:43,320
Speaker 1: his substack, there's actually a lot more to come. Berenson

1498
01:17:43,360 --> 01:17:47,040
Speaker 1: says he even has messages that prove that journalists themselves

1499
01:17:47,240 --> 01:17:51,799
Speaker 1: were pushing Twitter to deplatform him, again, revealing how little

1500
01:17:51,840 --> 01:17:54,360
Speaker 1: you can rely on the established for the state to

1501
01:17:54,479 --> 01:17:57,720
Speaker 1: uphold the principles that even allow them to exist in

1502
01:17:57,760 --> 01:18:00,839
Speaker 1: the first place. I say, let it all come, reveal

1503
01:18:00,880 --> 01:18:02,639
Speaker 1: every single one of these people for who they are,

1504
01:18:02,800 --> 01:18:05,400
Speaker 1: and let's really internalize what the government did here so

1505
01:18:05,439 --> 01:18:08,120
Speaker 1: that we do not let it happen again. And Crystal,

1506
01:18:08,439 --> 01:18:11,479
Speaker 1: you and I are were very careful at the time.

1507
01:18:11,600 --> 01:18:14,400
Speaker 1: And if you want to hear my reaction to Sagre's monologue,

1508
01:18:14,479 --> 01:18:20,320
Speaker 1: become a premium subscriber today at Breakingpoints dot com. Christal,

1509
01:18:20,439 --> 01:18:21,960
Speaker 1: what are you taking a look at? Well, guys, it

1510
01:18:22,040 --> 01:18:24,880
Speaker 1: is once again primary day, and I'm highlighting a couple

1511
01:18:24,880 --> 01:18:26,760
Speaker 1: of fascinating races that are on the ballot and I

1512
01:18:26,800 --> 01:18:29,400
Speaker 1: think kind of tell the tale the GOP past, present

1513
01:18:29,439 --> 01:18:32,840
Speaker 1: in future. So you've got Liz Cheney in Wyoming and

1514
01:18:33,080 --> 01:18:35,840
Speaker 1: Sarah palin up in Alaska, and if the polls are

1515
01:18:35,840 --> 01:18:39,000
Speaker 1: to be believed, Cheney, the daughter of the former vice

1516
01:18:39,000 --> 01:18:41,320
Speaker 1: president and one time former heir apparent to the Neo

1517
01:18:41,400 --> 01:18:45,240
Speaker 1: Kan crown. She's set to be defeated in pretty stunning fashion,

1518
01:18:45,400 --> 01:18:48,120
Speaker 1: punished not for the terrible ideology that she still holds

1519
01:18:48,160 --> 01:18:50,639
Speaker 1: tight to, but because of arguably the most honorable things

1520
01:18:50,640 --> 01:18:53,360
Speaker 1: she's actually done since arriving on the political scene. Then

1521
01:18:53,360 --> 01:18:55,600
Speaker 1: you've got Sarah Palin. She's on the ballot in a

1522
01:18:55,640 --> 01:18:57,920
Speaker 1: special election to fill the House seat of Don Young,

1523
01:18:57,960 --> 01:19:01,080
Speaker 1: who died in office. Now Palin is actually the top

1524
01:19:01,200 --> 01:19:04,120
Speaker 1: vote getter in the open primary to fill that seat.

1525
01:19:04,439 --> 01:19:07,480
Speaker 1: And now she's up against two other candidates, one Republican

1526
01:19:07,560 --> 01:19:10,439
Speaker 1: and one Democrat to try to close the deal. Rise

1527
01:19:10,439 --> 01:19:12,719
Speaker 1: and fall and potential rise again of these two women

1528
01:19:12,920 --> 01:19:15,439
Speaker 1: says a lot about where we stand with the Republican

1529
01:19:15,479 --> 01:19:18,200
Speaker 1: Party right now. Just take a look at the closing

1530
01:19:18,280 --> 01:19:21,240
Speaker 1: pitch for each After enlisting her father to record a

1531
01:19:21,320 --> 01:19:23,639
Speaker 1: viral ad calling Donald Trump a coward and saying there's

1532
01:19:23,640 --> 01:19:25,800
Speaker 1: never been an individual who is a greater threat to

1533
01:19:25,840 --> 01:19:28,559
Speaker 1: our Republican than Trump. I can think of a couple

1534
01:19:28,720 --> 01:19:31,959
Speaker 1: one in particular. Cheney is now closing out her campaign

1535
01:19:32,120 --> 01:19:35,160
Speaker 1: with this message as election day nears, I want to

1536
01:19:35,200 --> 01:19:38,040
Speaker 1: talk to citizens across our great state and all across

1537
01:19:38,040 --> 01:19:42,799
Speaker 1: our country. America cannot remain free if we abandon the truth,

1538
01:19:43,560 --> 01:19:46,679
Speaker 1: the lie that the twenty twenty presidential election was stolen.

1539
01:19:46,840 --> 01:19:50,479
Speaker 1: Is insidious. It preys on those who love their country.

1540
01:19:51,040 --> 01:19:54,520
Speaker 1: It is a door Donald Trump opened to manipulate Americans,

1541
01:19:54,600 --> 01:19:59,479
Speaker 1: to abandon their principles, to sacrifice their freedom, to justify violence,

1542
01:19:59,800 --> 01:20:02,400
Speaker 1: to ignore the rulings of our courts and the rule

1543
01:20:02,439 --> 01:20:06,320
Speaker 1: of law. This is Donald Trump's legacy, but it cannot

1544
01:20:06,360 --> 01:20:10,280
Speaker 1: be the future of our nation. So her continued, unapologetic

1545
01:20:10,360 --> 01:20:13,439
Speaker 1: Trump opposition in a Republican primary in a state that

1546
01:20:13,520 --> 01:20:17,479
Speaker 1: he won overwhelmingly is basically an acknowledgment that this race

1547
01:20:17,640 --> 01:20:19,960
Speaker 1: is already over and Liz Cheney is looking towards her

1548
01:20:20,000 --> 01:20:22,280
Speaker 1: next act, maybe as a lobbyist or potentially as a

1549
01:20:22,320 --> 01:20:26,120
Speaker 1: talking head. Her near certain defeat is exhibit number let's

1550
01:20:26,120 --> 01:20:28,880
Speaker 1: say three million, that this is in fact Trump's GOP.

1551
01:20:29,240 --> 01:20:31,360
Speaker 1: The fact that she voted with him on nearly everything

1552
01:20:31,360 --> 01:20:34,559
Speaker 1: and is conservative on just about everything doesn't matter at all.

1553
01:20:34,680 --> 01:20:37,320
Speaker 1: She's on the wrong side of the only dividing line

1554
01:20:37,320 --> 01:20:39,360
Speaker 1: in the GOP that actually counts, and that is her

1555
01:20:39,439 --> 01:20:42,160
Speaker 1: views on Donald J. Trump. The fact that she has

1556
01:20:42,160 --> 01:20:44,840
Speaker 1: such high proval ratings with Democrats tells you that the

1557
01:20:44,880 --> 01:20:47,280
Speaker 1: Donald Trump dividing line has become nearly the only thing

1558
01:20:47,320 --> 01:20:49,519
Speaker 1: that matters in all of politics, not just with the

1559
01:20:49,560 --> 01:20:53,280
Speaker 1: Republican base. Now up in Alaska, Sarah Palin is trying

1560
01:20:53,320 --> 01:20:56,920
Speaker 1: to recapture her Mama Bear magic. Here's some throwback content

1561
01:20:57,040 --> 01:21:00,599
Speaker 1: that she is still posting to this day on her

1562
01:21:00,640 --> 01:21:03,120
Speaker 1: Twitter timeline. Give a little shout out to all of

1563
01:21:03,160 --> 01:21:07,559
Speaker 1: the hockey moms out there on National Lipstick Day. And

1564
01:21:07,600 --> 01:21:10,840
Speaker 1: here's a taste of her recent seapack appearance. What are

1565
01:21:10,840 --> 01:21:16,160
Speaker 1: you calling him these days? Ah? Yeah, sleepy Joe, where

1566
01:21:16,200 --> 01:21:20,439
Speaker 1: do you sleep? Be kind of slow? Bless his heart? Yeah,

1567
01:21:20,479 --> 01:21:26,280
Speaker 1: that was quite an experience, and man, had I to

1568
01:21:26,360 --> 01:21:29,920
Speaker 1: do it all over again, I would not hold back.

1569
01:21:30,280 --> 01:21:33,120
Speaker 1: It's a shame that the McCain Palin campaign kind of

1570
01:21:33,280 --> 01:21:36,759
Speaker 1: had some shackles on me. Not allowed to go rogue

1571
01:21:36,760 --> 01:21:39,200
Speaker 1: because that's what our country needs right now, or fighters

1572
01:21:39,200 --> 01:21:41,639
Speaker 1: who are willing to go rogue and get out there

1573
01:21:41,960 --> 01:21:44,719
Speaker 1: and fight for what's right to save our country because

1574
01:21:44,760 --> 01:21:48,799
Speaker 1: you all know, y'all know the trajectory that our country

1575
01:21:48,840 --> 01:21:51,559
Speaker 1: is on right now not real good. But we can't

1576
01:21:51,600 --> 01:21:54,959
Speaker 1: turn that around. In case you're wondering, She also relives

1577
01:21:55,000 --> 01:21:58,879
Speaker 1: the whole hockey mom pit bull lipstick thing in that interview.

1578
01:21:59,000 --> 01:22:01,799
Speaker 1: There as well. It's kind of weird, and it's honestly

1579
01:22:01,880 --> 01:22:04,280
Speaker 1: kind of sad to watch Sarah Palin now. Her vibes

1580
01:22:04,320 --> 01:22:06,400
Speaker 1: are exactly that of the guy who peaked as high

1581
01:22:06,400 --> 01:22:09,280
Speaker 1: school quarterback and is constantly trying to relive the glory days.

1582
01:22:09,600 --> 01:22:12,400
Speaker 1: When I was preparing this monologue acquainting myself with Palin's

1583
01:22:12,400 --> 01:22:14,960
Speaker 1: current rhetoric, I actually expected to be kind of floored

1584
01:22:15,000 --> 01:22:17,479
Speaker 1: by some really wild wing that type of stuff, and

1585
01:22:17,520 --> 01:22:19,840
Speaker 1: I ended up being a little bit surprised at how

1586
01:22:19,960 --> 01:22:23,040
Speaker 1: tame she seems now compared to the new magastars, people

1587
01:22:23,120 --> 01:22:26,439
Speaker 1: like Matt Gates or Paul Gosar, Marjorie Taylor Green. Palin

1588
01:22:26,640 --> 01:22:29,040
Speaker 1: was kind of a precursor to this type of politics,

1589
01:22:29,040 --> 01:22:30,840
Speaker 1: a canary in the coal mine of the rise of

1590
01:22:30,840 --> 01:22:34,320
Speaker 1: trump Ism. John McCain wasn't really willing to directly scratch

1591
01:22:34,400 --> 01:22:37,320
Speaker 1: the itch of the Republican base, but Palin was. She

1592
01:22:37,560 --> 01:22:40,439
Speaker 1: leaned into trashing the media. She coined the Drill Baby,

1593
01:22:40,520 --> 01:22:42,840
Speaker 1: Drill line as a kind of rallying cry before Trump

1594
01:22:42,960 --> 01:22:45,720
Speaker 1: leaned in to build that wall. She dabbled in the

1595
01:22:45,840 --> 01:22:48,840
Speaker 1: very same birther conspiracies that helped raise Trump's esteem with

1596
01:22:48,840 --> 01:22:51,360
Speaker 1: the GOP base too. But now she's kind a bit

1597
01:22:51,360 --> 01:22:54,639
Speaker 1: of an odd spot. She's still a polarizing figure nationally

1598
01:22:54,680 --> 01:22:57,200
Speaker 1: because of her infamous vice presidential run and in Alaska

1599
01:22:57,240 --> 01:23:00,479
Speaker 1: because she abruptly quit as that state's governor. Yeah, because

1600
01:23:00,479 --> 01:23:02,560
Speaker 1: she isn't quite as wild as the new crop of

1601
01:23:02,600 --> 01:23:06,599
Speaker 1: Republican political character. She doesn't inspire fully ecstatic and committed

1602
01:23:06,640 --> 01:23:09,879
Speaker 1: support either. As a result, Palin has struggled with fundraising

1603
01:23:09,880 --> 01:23:11,559
Speaker 1: in her campaign. She appears to be locked in a

1604
01:23:11,560 --> 01:23:14,559
Speaker 1: pretty tough battle in her special election in spite of

1605
01:23:14,560 --> 01:23:17,240
Speaker 1: her top finish in the initial round. And that's another

1606
01:23:17,240 --> 01:23:20,080
Speaker 1: thing that's a challenge for Palin here. Alaska's new rank

1607
01:23:20,200 --> 01:23:22,599
Speaker 1: choice system means that she's got to be the top

1608
01:23:22,680 --> 01:23:25,080
Speaker 1: choice for a lot of voters, but she's also got

1609
01:23:25,120 --> 01:23:27,360
Speaker 1: to be the second choice for a lot of voters too,

1610
01:23:27,600 --> 01:23:29,920
Speaker 1: and that makes it more difficult for a polarizing candidate

1611
01:23:29,960 --> 01:23:32,960
Speaker 1: such as herself. Voters are likely to either have her

1612
01:23:33,000 --> 01:23:35,519
Speaker 1: as their top pick or want absolutely nothing to do

1613
01:23:35,600 --> 01:23:37,880
Speaker 1: with her. That makes it tough in ranked choice voting.

1614
01:23:38,400 --> 01:23:40,800
Speaker 1: So two figures connected to the GOP pass, one from

1615
01:23:40,840 --> 01:23:43,840
Speaker 1: the George W. Bush era, one from the early stirrings

1616
01:23:43,840 --> 01:23:47,000
Speaker 1: of trump Ism, one a almost certain goner, the other

1617
01:23:47,160 --> 01:23:49,760
Speaker 1: trying to regain her footing in the political era that

1618
01:23:49,840 --> 01:23:52,599
Speaker 1: she helped to birth. The irony is that in terms

1619
01:23:52,640 --> 01:23:55,479
Speaker 1: of how they would actually vote in Congress, they're probably

1620
01:23:55,560 --> 01:24:00,000
Speaker 1: nearly identical, but policy is completely irrelevant in these contests,

1621
01:24:00,200 --> 01:24:03,400
Speaker 1: as Trump continues to be at the center of everything

1622
01:24:03,720 --> 01:24:06,360
Speaker 1: and sagur there's one other really interesting race on this

1623
01:24:06,479 --> 01:24:09,240
Speaker 1: And if you want to hear my reaction to Crystal's monologue,

1624
01:24:09,240 --> 01:24:14,960
Speaker 1: become a premium subscriber today at Breakingpoints dot com. So

1625
01:24:15,040 --> 01:24:18,879
Speaker 1: President Joe Biden is set to sign the Inflation Reduction

1626
01:24:19,160 --> 01:24:23,080
Speaker 1: Act into law. It was a shocking turn of events,

1627
01:24:23,280 --> 01:24:27,120
Speaker 1: secret surprise deal worked out between Schumer and Mansion that

1628
01:24:27,160 --> 01:24:30,160
Speaker 1: they managed to keep the entire Democratic Caucus on board

1629
01:24:30,200 --> 01:24:33,200
Speaker 1: with and joining us to talk about what this means,

1630
01:24:33,240 --> 01:24:36,080
Speaker 1: what's in it, all of the details. Is the perfect

1631
01:24:36,160 --> 01:24:38,640
Speaker 1: guest who has been following the ins and outs of

1632
01:24:38,680 --> 01:24:41,400
Speaker 1: this all the way along, even though when it looked

1633
01:24:41,400 --> 01:24:43,320
Speaker 1: like there was no hope that anything would actually come

1634
01:24:43,360 --> 01:24:45,920
Speaker 1: of it. Jeff Stine, economics reporter for the Washington Post.

1635
01:24:45,960 --> 01:24:48,280
Speaker 1: Great to see Jeff. Good to see you man. Thanks

1636
01:24:48,320 --> 01:24:53,920
Speaker 1: for reminding me how painful. This whole thing is done. That, yes,

1637
01:24:54,240 --> 01:24:56,360
Speaker 1: just about done and dusted. Let's go ahead and put

1638
01:24:56,400 --> 01:24:58,519
Speaker 1: your latest reporting up on the screen, which I thought

1639
01:24:58,560 --> 01:25:02,000
Speaker 1: was a very interesting look at this legislation and what

1640
01:25:02,040 --> 01:25:05,120
Speaker 1: it hopes to accomplish. Your headline here is West Virginia

1641
01:25:05,120 --> 01:25:08,400
Speaker 1: coal country will test power of Democrats climate Bill. You

1642
01:25:08,560 --> 01:25:12,599
Speaker 1: interview a man who has been a coal miner and

1643
01:25:12,920 --> 01:25:15,160
Speaker 1: of course as seeing ups and downs as that industry

1644
01:25:15,280 --> 01:25:18,320
Speaker 1: has declined, and is now hoping to get a green

1645
01:25:18,520 --> 01:25:21,920
Speaker 1: energy job in West Virginia as part of this deal.

1646
01:25:22,560 --> 01:25:24,439
Speaker 1: Why don't you use that as an entree to talk

1647
01:25:24,479 --> 01:25:28,760
Speaker 1: about the approach to climate that this particular deal, in

1648
01:25:28,880 --> 01:25:33,960
Speaker 1: particular legislation hopes to enact. Yeah, so just to zoom

1649
01:25:34,080 --> 01:25:35,880
Speaker 1: out for a second here and give sort of the

1650
01:25:35,920 --> 01:25:40,160
Speaker 1: broader historical context. When climate change first emerged as a

1651
01:25:40,200 --> 01:25:45,160
Speaker 1: clear national international crisis, the initial response from policy makers

1652
01:25:45,280 --> 01:25:47,479
Speaker 1: was to put a price on carbon. So you got

1653
01:25:47,760 --> 01:25:51,200
Speaker 1: carbon tax proposals, cap and trade proposals, kinds of things

1654
01:25:51,200 --> 01:25:55,280
Speaker 1: that would directly disincentivize and raise the cost of using

1655
01:25:55,320 --> 01:25:58,760
Speaker 1: and consuming carbon. And for reasons that I don't have

1656
01:25:58,800 --> 01:26:02,360
Speaker 1: to tell you guys about, that was a political disaster.

1657
01:26:02,800 --> 01:26:05,560
Speaker 1: People don't want to have to spend more. Sagar, I

1658
01:26:05,600 --> 01:26:11,040
Speaker 1: really enjoyed your clip the other day about you blaming

1659
01:26:11,080 --> 01:26:14,559
Speaker 1: people for higher gas prices instead of the stupidity of

1660
01:26:14,600 --> 01:26:18,080
Speaker 1: that people you know, are often struggling in high gas prices,

1661
01:26:18,160 --> 01:26:21,320
Speaker 1: and higher gas prices is a very difficult way politically

1662
01:26:21,400 --> 01:26:23,679
Speaker 1: to force through a change to deal with climate change.

1663
01:26:23,720 --> 01:26:26,080
Speaker 1: And so in the last really just ten to fifteen years,

1664
01:26:26,120 --> 01:26:30,720
Speaker 1: we've had a complete one eighty complete revolution in the

1665
01:26:30,800 --> 01:26:34,080
Speaker 1: approach that in particularly the Democratic Party, I think in

1666
01:26:34,200 --> 01:26:36,439
Speaker 1: large part are in part because of the Green New

1667
01:26:36,479 --> 01:26:39,640
Speaker 1: Deal and AOC on the left sort of pushing a

1668
01:26:39,640 --> 01:26:42,480
Speaker 1: different approach. And that approach has set instead of sacrificing

1669
01:26:42,520 --> 01:26:46,200
Speaker 1: economic growth, what if we instead of targeting sort of

1670
01:26:46,200 --> 01:26:50,799
Speaker 1: the supply side of raising carbon, we instead dramatically reduced

1671
01:26:50,800 --> 01:26:54,800
Speaker 1: the cost of renewable solar, and we tied that to

1672
01:26:54,920 --> 01:26:58,880
Speaker 1: a new attempt to revive the American industrial core, the

1673
01:26:58,880 --> 01:27:01,960
Speaker 1: Apple Acian core that has been so hollowed out by

1674
01:27:01,960 --> 01:27:06,240
Speaker 1: the decline of the old energy economy. And so, and

1675
01:27:06,280 --> 01:27:08,439
Speaker 1: thanks for identifying that, Chris Li really appreciate it that.

1676
01:27:08,479 --> 01:27:10,759
Speaker 1: I think the attempt of that story was to say

1677
01:27:11,080 --> 01:27:12,800
Speaker 1: there's all this talk about the bill, but sort of

1678
01:27:12,800 --> 01:27:16,760
Speaker 1: what's the core thing that this bill is trying to do.

1679
01:27:16,840 --> 01:27:20,320
Speaker 1: And I think it's become so obvious to so many

1680
01:27:20,360 --> 01:27:23,160
Speaker 1: people that we've sort of people aren't really talking about

1681
01:27:23,160 --> 01:27:26,920
Speaker 1: the main intention of the bill, and that's really this

1682
01:27:26,920 --> 01:27:30,880
Speaker 1: this profound attempt at reviving America's manufacturing base with clean

1683
01:27:30,960 --> 01:27:33,559
Speaker 1: energy jobs. And we can get into the odds that

1684
01:27:33,600 --> 01:27:36,160
Speaker 1: has of success, but I think that's that's the core

1685
01:27:36,280 --> 01:27:39,720
Speaker 1: philosophy here. And I talked to a lot of coal

1686
01:27:39,720 --> 01:27:42,680
Speaker 1: miners and others in West Virginia who are optimistic. You know,

1687
01:27:42,800 --> 01:27:47,040
Speaker 1: right now in West Virginia used to be this industrial powerhouse,

1688
01:27:47,120 --> 01:27:50,960
Speaker 1: manufacturing powerhouse, and it's obviously now one of the poorest

1689
01:27:50,960 --> 01:27:54,120
Speaker 1: states in the country, and so that has been really

1690
01:27:54,160 --> 01:27:57,280
Speaker 1: devastating transition, and there's this hope that maybe this will

1691
01:27:57,360 --> 01:28:00,360
Speaker 1: will bring in these new these new high painting jobs. Yeah.

1692
01:28:00,439 --> 01:28:02,280
Speaker 1: I mean, I think what's interesting about the piece, and

1693
01:28:02,520 --> 01:28:05,639
Speaker 1: just generally about the attempt at bringing down costs, which

1694
01:28:05,720 --> 01:28:08,720
Speaker 1: you know, I'm a major proponent of, is that this

1695
01:28:09,000 --> 01:28:12,040
Speaker 1: is both a departure in a different direction but also

1696
01:28:12,880 --> 01:28:16,519
Speaker 1: shows you very much like what Joe Manchin's philosophy is

1697
01:28:16,880 --> 01:28:18,560
Speaker 1: around all of this. So can you point to the

1698
01:28:18,600 --> 01:28:21,240
Speaker 1: specific program that you talk about here about, you know,

1699
01:28:21,280 --> 01:28:24,320
Speaker 1: moving from a cold job to working in a battery facility.

1700
01:28:24,400 --> 01:28:27,719
Speaker 1: How plausible is that on a mass scale for people

1701
01:28:27,720 --> 01:28:32,360
Speaker 1: who are involved in those declining industries. It's a great question.

1702
01:28:33,880 --> 01:28:36,160
Speaker 1: So I think just the first thing you mentioned about

1703
01:28:36,200 --> 01:28:39,799
Speaker 1: Mansion's philosophy, right, if you were just designing a climate build,

1704
01:28:40,160 --> 01:28:42,000
Speaker 1: there's tons of stuff in here that you would have

1705
01:28:42,040 --> 01:28:46,280
Speaker 1: no reason of including, including, you know, expediting fossil fuel projects,

1706
01:28:47,080 --> 01:28:50,120
Speaker 1: money for mining. There is stuff in here that only

1707
01:28:50,160 --> 01:28:54,200
Speaker 1: makes sense from an energy abundance, American energy independence and

1708
01:28:54,280 --> 01:28:58,640
Speaker 1: lower energy costs for consumer perspective, which is not what

1709
01:28:58,680 --> 01:29:00,400
Speaker 1: a lot of the Democratic Party wanted to do, but

1710
01:29:00,560 --> 01:29:03,519
Speaker 1: was forced through by Mansion and his sort of demands.

1711
01:29:04,640 --> 01:29:08,519
Speaker 1: On the question of can this really work? You know,

1712
01:29:08,560 --> 01:29:12,639
Speaker 1: I talked to a lot of mainstream centrist economists. Might

1713
01:29:12,680 --> 01:29:15,360
Speaker 1: accuse them of being more on the more neilliberal side

1714
01:29:15,400 --> 01:29:18,759
Speaker 1: of things, who say that this is a climate build,

1715
01:29:18,760 --> 01:29:20,880
Speaker 1: a deficit reduction bill, and a healthcare bill. It is

1716
01:29:20,920 --> 01:29:26,759
Speaker 1: not an economic manufacturing bill. Even the most optimistic readings,

1717
01:29:26,800 --> 01:29:30,120
Speaker 1: there's about twelve thirteen million manufacturing jobs in America right now.

1718
01:29:30,479 --> 01:29:32,800
Speaker 1: This would add roughly one hundred thousand dollars a year

1719
01:29:32,920 --> 01:29:36,640
Speaker 1: over one hundred thousand new jobs manufacturing jobs a year

1720
01:29:36,680 --> 01:29:40,599
Speaker 1: over the next ten years. So you know that's something,

1721
01:29:40,680 --> 01:29:44,920
Speaker 1: but it's pretty small relative to the overall number. One

1722
01:29:44,960 --> 01:29:47,920
Speaker 1: of the big problems is solar and wind production. You

1723
01:29:47,960 --> 01:29:50,240
Speaker 1: sort of you need the construction jobs to build the thing,

1724
01:29:50,320 --> 01:29:54,240
Speaker 1: but unlike coal, which requires tons of manpower to sustain,

1725
01:29:54,800 --> 01:29:56,559
Speaker 1: but they kind of run on their own accord and

1726
01:29:56,600 --> 01:30:01,599
Speaker 1: so the per job output per energy uced is relatively minimal.

1727
01:30:03,960 --> 01:30:06,600
Speaker 1: The estimates for West Virginia. You know, I talked to

1728
01:30:06,920 --> 01:30:10,719
Speaker 1: the owner, the owners of this battery production plant. Lots

1729
01:30:10,720 --> 01:30:12,679
Speaker 1: of people are looking at West Virginia because it has

1730
01:30:12,880 --> 01:30:16,640
Speaker 1: a really trained workforce, it has lots of natural resources,

1731
01:30:16,640 --> 01:30:19,759
Speaker 1: abundant water, and sort of the logistical trucking and supply

1732
01:30:19,920 --> 01:30:22,600
Speaker 1: routes that have fallen Dorment. But that could actually be

1733
01:30:22,760 --> 01:30:25,240
Speaker 1: used as an export base. So there's some hope for

1734
01:30:25,280 --> 01:30:28,600
Speaker 1: West Virginia and that reason. But you know, this the

1735
01:30:28,600 --> 01:30:31,640
Speaker 1: biggest facility that could open with renewable jobs as this

1736
01:30:31,640 --> 01:30:34,200
Speaker 1: battery plant that you mentioned. They're building sort of long

1737
01:30:34,280 --> 01:30:39,640
Speaker 1: duration battery storage that could go into decarbonizing agriculture and

1738
01:30:39,680 --> 01:30:42,160
Speaker 1: other heavy industries. That's the you know, there's lots of

1739
01:30:42,160 --> 01:30:44,320
Speaker 1: money in that, both in the infrastructure built and the

1740
01:30:44,360 --> 01:30:47,679
Speaker 1: Inflation Reduction actept to sort of encourage those kinds of jobs.

1741
01:30:48,080 --> 01:30:51,280
Speaker 1: At most we're thinking that could be three thousand jobs,

1742
01:30:51,280 --> 01:30:56,920
Speaker 1: maybe a little more, but that's the equivalent of you know,

1743
01:30:56,920 --> 01:30:59,840
Speaker 1: I think we say in the piece that every six

1744
01:31:00,040 --> 01:31:02,960
Speaker 1: cole mines that have closed as people from fifteen thousand jobs,

1745
01:31:03,040 --> 01:31:05,880
Speaker 1: and over the last twenty thirty years, West Virginia has

1746
01:31:05,880 --> 01:31:07,799
Speaker 1: lost I think something on the order of sixty seventy

1747
01:31:07,880 --> 01:31:11,800
Speaker 1: thousand coal mining jobs. So they have a long long

1748
01:31:11,840 --> 01:31:14,559
Speaker 1: way to climb from, you know, from where they were.

1749
01:31:14,600 --> 01:31:18,120
Speaker 1: And you know, obviously I think I don't want to

1750
01:31:18,120 --> 01:31:21,800
Speaker 1: sound too redundant or too obvious to people, but you

1751
01:31:21,880 --> 01:31:26,280
Speaker 1: drive around West Virginia and the remnants and the vestiges

1752
01:31:26,360 --> 01:31:29,519
Speaker 1: of a formerly great industrial power just everywhere, you can

1753
01:31:29,560 --> 01:31:32,639
Speaker 1: see the poverty, you can see what once was, and

1754
01:31:33,439 --> 01:31:35,800
Speaker 1: you know, just the statistic that blew my mind the

1755
01:31:35,800 --> 01:31:38,000
Speaker 1: most from the story was that in the nineteen seventies,

1756
01:31:38,000 --> 01:31:41,040
Speaker 1: the biggest employer in West Virginia, it was West Virginia Steel.

1757
01:31:41,360 --> 01:31:45,120
Speaker 1: They paid an average of sixteen dollars an hour, and

1758
01:31:45,200 --> 01:31:48,360
Speaker 1: now the biggest employer in West Virginia is Walmart, which

1759
01:31:48,400 --> 01:31:51,000
Speaker 1: pays an average of about fifteen dollars an hour, and

1760
01:31:51,040 --> 01:31:54,799
Speaker 1: that is not adjusting for inflation. So over forty fifty years,

1761
01:31:55,280 --> 01:31:59,479
Speaker 1: the main employer in West Virginia now pays less and

1762
01:31:59,560 --> 01:32:02,920
Speaker 1: they did in the nineteen seventies. And so that client

1763
01:32:03,040 --> 01:32:05,000
Speaker 1: is I've been in everywhere, and so I think some

1764
01:32:05,040 --> 01:32:06,960
Speaker 1: people are saying, Look, this isn't going to revive the

1765
01:32:07,000 --> 01:32:12,400
Speaker 1: core of America's manufacturing hub, but it might be a start. Yeah,

1766
01:32:12,920 --> 01:32:14,960
Speaker 1: West Virginian near and dear to my heart because it's

1767
01:32:15,000 --> 01:32:17,200
Speaker 1: where my dad and his side of the family are

1768
01:32:17,240 --> 01:32:19,160
Speaker 1: all from. So I spent a good deal of time

1769
01:32:19,400 --> 01:32:21,519
Speaker 1: in the state. I'm seeing exactly what you're talking about.

1770
01:32:21,560 --> 01:32:24,880
Speaker 1: There's a misperception that our misconception that you know, people

1771
01:32:24,920 --> 01:32:26,679
Speaker 1: there are just like they just love coal and they're

1772
01:32:26,720 --> 01:32:28,559
Speaker 1: just all about coal, and it's like, no, this is

1773
01:32:28,680 --> 01:32:32,639
Speaker 1: just the one industries that's provided stable middle class jobs

1774
01:32:32,960 --> 01:32:36,280
Speaker 1: and has supported you know, entire communities around this industry.

1775
01:32:36,360 --> 01:32:39,080
Speaker 1: So of course they're not going to just willingly give

1776
01:32:39,120 --> 01:32:41,160
Speaker 1: that up without something to come in and make sure

1777
01:32:41,200 --> 01:32:43,040
Speaker 1: that they're going to be able to provide for their

1778
01:32:43,040 --> 01:32:46,280
Speaker 1: family on a basic level. Absolutely, And a lot of

1779
01:32:46,360 --> 01:32:48,400
Speaker 1: the coal miners I spoke to who are now working

1780
01:32:48,400 --> 01:32:51,839
Speaker 1: in renewables are trying to make that point. In particular,

1781
01:32:51,920 --> 01:32:54,200
Speaker 1: a lot of the solar industry when they first started

1782
01:32:54,200 --> 01:32:56,479
Speaker 1: coming into West Virginia and app Lascia, they were paying

1783
01:32:57,160 --> 01:32:59,960
Speaker 1: you know, pretty low wages, and a lot of people

1784
01:33:00,200 --> 01:33:01,840
Speaker 1: on the left I'd like to talk about this, but

1785
01:33:01,920 --> 01:33:05,200
Speaker 1: there are a lot of non union firms, and the

1786
01:33:05,439 --> 01:33:10,320
Speaker 1: MWA provided union membership to coal miners for decades, and

1787
01:33:10,400 --> 01:33:12,720
Speaker 1: so yeah, I mean after the story came out, I

1788
01:33:12,720 --> 01:33:16,160
Speaker 1: got a lot of responses from sort of like smug

1789
01:33:16,200 --> 01:33:18,920
Speaker 1: people on the coast being like, you know, these people

1790
01:33:18,960 --> 01:33:22,960
Speaker 1: will never learn, and kind of discuss about how they're

1791
01:33:24,520 --> 01:33:27,479
Speaker 1: about their intelligence. And besides the fact that most of

1792
01:33:27,479 --> 01:33:30,600
Speaker 1: these people would be completely lost doing the kind of

1793
01:33:30,640 --> 01:33:33,400
Speaker 1: manufacturing production jobs that the coal miners know how to do.

1794
01:33:34,080 --> 01:33:37,360
Speaker 1: There to your point, there's like a real rational economic

1795
01:33:37,400 --> 01:33:40,240
Speaker 1: reason that a lot of the former coal miners have

1796
01:33:40,400 --> 01:33:43,439
Speaker 1: been reluctant to be part of this transition. But I

1797
01:33:43,479 --> 01:33:46,960
Speaker 1: think the hope is that we've mansion sort of bringing

1798
01:33:46,960 --> 01:33:49,479
Speaker 1: all this money specifically on just mentioned one thing very quickly.

1799
01:33:50,360 --> 01:33:56,400
Speaker 1: The bill has specific tax credits for former I think

1800
01:33:56,640 --> 01:33:58,120
Speaker 1: the technical term they use in the bill is like

1801
01:33:58,240 --> 01:34:02,840
Speaker 1: energy producing regions, and so money that's directly intended to

1802
01:34:02,880 --> 01:34:06,400
Speaker 1: flow too high co producing areas that go above and

1803
01:34:06,439 --> 01:34:09,080
Speaker 1: beyond all the other credits in the bill. So that's

1804
01:34:09,160 --> 01:34:11,320
Speaker 1: kind of a hope to say, like, let's directly target

1805
01:34:11,880 --> 01:34:14,320
Speaker 1: West Virginia. So well, obviously have to see if that works.

1806
01:34:14,680 --> 01:34:16,760
Speaker 1: And then what do you make of some of the

1807
01:34:16,800 --> 01:34:19,519
Speaker 1: critique I've seen from the left that you know, you're

1808
01:34:19,800 --> 01:34:22,439
Speaker 1: in the same bill that you're supposedly dealing with the climate,

1809
01:34:22,479 --> 01:34:25,360
Speaker 1: you're also giving a lot of goodies to the oil industry.

1810
01:34:25,360 --> 01:34:27,599
Speaker 1: And one of the most telling things is that actually

1811
01:34:27,600 --> 01:34:30,120
Speaker 1: big oil was kind of fine and cool with this bill.

1812
01:34:31,000 --> 01:34:32,800
Speaker 1: What do you make of that? And I know you're not,

1813
01:34:32,960 --> 01:34:35,360
Speaker 1: you know, specifically a climate reporter, but you've dug into

1814
01:34:35,760 --> 01:34:38,120
Speaker 1: these numbers. What does the analysis look like of what

1815
01:34:38,160 --> 01:34:42,800
Speaker 1: this will do on balance to emissions? Yeah, I think

1816
01:34:42,840 --> 01:34:46,600
Speaker 1: there's no doubt that there's things in here that are

1817
01:34:46,680 --> 01:34:50,080
Speaker 1: going to be bad for the climate. You know, the

1818
01:34:50,120 --> 01:34:55,160
Speaker 1: amount of new approvals for fossil fuel infrastructure is clearly

1819
01:34:55,439 --> 01:34:58,240
Speaker 1: putting us in the wrong direction in terms of reducing emissions,

1820
01:35:00,160 --> 01:35:03,120
Speaker 1: and so I don't want to pick really pick aside.

1821
01:35:03,160 --> 01:35:05,240
Speaker 1: And I've seen those critiques too, and I understand where

1822
01:35:05,240 --> 01:35:08,920
Speaker 1: they're coming from. And I think in particular, I'm trying

1823
01:35:08,920 --> 01:35:10,599
Speaker 1: to work on a story about this, but a lot

1824
01:35:10,640 --> 01:35:13,600
Speaker 1: of the indigenous groups are particularly very upset because the

1825
01:35:13,640 --> 01:35:16,080
Speaker 1: approval process will be expedited in a way that has

1826
01:35:16,240 --> 01:35:19,840
Speaker 1: historically and traditionally been very devastating for indigenous communities from

1827
01:35:19,840 --> 01:35:22,320
Speaker 1: a biological diversity perspective. There's a lot of things to

1828
01:35:22,360 --> 01:35:26,000
Speaker 1: be worried about from the expediting process that you're referring to.

1829
01:35:27,800 --> 01:35:32,920
Speaker 1: I do think that overwhelmingly, I haven't talked to a

1830
01:35:32,960 --> 01:35:35,519
Speaker 1: climate expert who doesn't think that this will in aggregate

1831
01:35:35,640 --> 01:35:38,880
Speaker 1: drive down a huge number of emission that on balance,

1832
01:35:38,920 --> 01:35:42,240
Speaker 1: this is a huge, huge win for carbon reduction and

1833
01:35:42,280 --> 01:35:45,880
Speaker 1: for the climate, even though those provisions are as you said,

1834
01:35:46,240 --> 01:35:48,680
Speaker 1: you know, potentially driving up carbon costs. I think the

1835
01:35:48,680 --> 01:35:53,320
Speaker 1: one thing I would stress is that maybe ten fifteen

1836
01:35:53,400 --> 01:35:57,840
Speaker 1: years ago, the opposition to new fossil fuel infrastructure was

1837
01:35:57,880 --> 01:36:01,639
Speaker 1: at a much higher pitch among climate experts, in part

1838
01:36:01,680 --> 01:36:06,200
Speaker 1: because at the time renewables were still so not cost

1839
01:36:06,280 --> 01:36:09,320
Speaker 1: competitive with fossil fuel infrastructure, and so like the Mountain

1840
01:36:09,400 --> 01:36:12,240
Speaker 1: Valley pipeline that Mansion improved as part of this deal,

1841
01:36:12,720 --> 01:36:15,240
Speaker 1: you know, will carry all of this natural gas out

1842
01:36:15,439 --> 01:36:18,400
Speaker 1: from West Virginia to export to Europe. That's the hope.

1843
01:36:18,439 --> 01:36:20,519
Speaker 1: And ten years ago that would be a very very

1844
01:36:20,520 --> 01:36:23,200
Speaker 1: scary prospect from a climate perspective, because we didn't know

1845
01:36:23,240 --> 01:36:25,280
Speaker 1: if solar and wind would ever be able to catch up.

1846
01:36:25,960 --> 01:36:27,479
Speaker 1: But now one of the climate experts I talked to

1847
01:36:27,520 --> 01:36:30,320
Speaker 1: her and are not that worried about that because they

1848
01:36:30,360 --> 01:36:33,439
Speaker 1: think that even if it gets built now, natural gas

1849
01:36:33,520 --> 01:36:36,720
Speaker 1: has come up relative to renewables and costs so much

1850
01:36:36,800 --> 01:36:39,400
Speaker 1: that we think that well, that that will not be

1851
01:36:39,439 --> 01:36:42,680
Speaker 1: cost competitive in ten years anyway. Basically what's happened to

1852
01:36:42,680 --> 01:36:47,200
Speaker 1: the coal industry is not competitive exactly, there's less of

1853
01:36:47,200 --> 01:36:49,200
Speaker 1: a reason to be afraid. The other thing that I

1854
01:36:49,200 --> 01:36:51,599
Speaker 1: would point out in terms of the oil industry being happy,

1855
01:36:52,000 --> 01:36:55,639
Speaker 1: and you know, people can have, you know, totally legitimate

1856
01:36:55,640 --> 01:36:57,360
Speaker 1: different opinions about this, but there's a lot of money

1857
01:36:57,360 --> 01:37:01,080
Speaker 1: in here for carbon caster capture, siquis tration. The forty

1858
01:37:01,080 --> 01:37:04,439
Speaker 1: five Q credits money Basically that that's going to the

1859
01:37:04,439 --> 01:37:07,040
Speaker 1: oil and gas companies that they are supposed to use

1860
01:37:08,320 --> 01:37:13,120
Speaker 1: to lower their carbon footprint and sort of put money

1861
01:37:13,160 --> 01:37:16,120
Speaker 1: into other forms of renewable energy and to expeditut other

1862
01:37:16,160 --> 01:37:19,200
Speaker 1: forms of renewable production. I talk to one, you know,

1863
01:37:19,200 --> 01:37:23,200
Speaker 1: traditionally natural gas and coal company that's now investing in

1864
01:37:23,240 --> 01:37:27,599
Speaker 1: Win because of this and provisions like that. I think

1865
01:37:28,000 --> 01:37:31,000
Speaker 1: there's a lot of legitimate criticism that they are basically

1866
01:37:31,040 --> 01:37:33,560
Speaker 1: handouts the fossil fuel companies, especially the oil companies that

1867
01:37:33,600 --> 01:37:39,519
Speaker 1: get this money for sort of unquestionably good carbon reduction

1868
01:37:39,600 --> 01:37:42,759
Speaker 1: schemes putting money carbon in the ground. Some climate people

1869
01:37:42,800 --> 01:37:45,240
Speaker 1: think that actually, will you know, is important and will

1870
01:37:45,360 --> 01:37:48,000
Speaker 1: lead to emission reduction, and other people think that it's

1871
01:37:48,040 --> 01:37:51,759
Speaker 1: just kind of a show. I think at the worst

1872
01:37:51,800 --> 01:37:54,480
Speaker 1: case that that is kind of just like an unnecessary

1873
01:37:54,600 --> 01:37:57,720
Speaker 1: federal giveaway. But it's not the same as saying it

1874
01:37:57,760 --> 01:38:01,120
Speaker 1: will increase emissions. Does that make sense, Like the people

1875
01:38:01,240 --> 01:38:04,200
Speaker 1: are saying this is a giveaway to the oil company, like, yes,

1876
01:38:04,680 --> 01:38:06,519
Speaker 1: but that's different from saying it's a give way to

1877
01:38:06,560 --> 01:38:10,599
Speaker 1: the oil company that will dramatically increase emissions. Yeah, gotcha.

1878
01:38:10,680 --> 01:38:14,040
Speaker 1: So it's just to give away, but without planetary devastation

1879
01:38:14,640 --> 01:38:18,639
Speaker 1: accompanying it. That being that about like giving federal money

1880
01:38:18,640 --> 01:38:21,160
Speaker 1: and tax payer money to the oil companies. Like I

1881
01:38:21,280 --> 01:38:23,639
Speaker 1: get being angry about that, but it's it's a different

1882
01:38:23,680 --> 01:38:26,679
Speaker 1: critique than saying we're giving all this money to oil

1883
01:38:26,720 --> 01:38:30,960
Speaker 1: companies to you know, destroy the planet. Got all very

1884
01:38:30,960 --> 01:38:34,519
Speaker 1: well said. I recommend not just this particular piece of

1885
01:38:34,560 --> 01:38:37,439
Speaker 1: reporting from you to folks to really understand what's in

1886
01:38:37,479 --> 01:38:39,160
Speaker 1: this bill, but all of the work that you've been

1887
01:38:39,160 --> 01:38:41,160
Speaker 1: doing on this all the way along. And of course

1888
01:38:41,200 --> 01:38:44,240
Speaker 1: always guys, go and follow Jeff on Twitter so you

1889
01:38:44,280 --> 01:38:46,519
Speaker 1: can see what is coming next. Jeff, thank you so

1890
01:38:46,640 --> 01:38:49,880
Speaker 1: much for taking some time with us. Great to see you.

1891
01:38:50,200 --> 01:38:52,360
Speaker 1: Thank you guys so much for watching. Really appreciate it.

1892
01:38:52,400 --> 01:38:55,679
Speaker 1: As we said, the results are in. People were truly

1893
01:38:55,720 --> 01:38:58,479
Speaker 1: at war with one another, so we decide to placate

1894
01:38:58,600 --> 01:39:01,799
Speaker 1: all sides. We will include for premium members the Vimeo

1895
01:39:01,880 --> 01:39:04,479
Speaker 1: link and the YouTube link Vimeo if you want an

1896
01:39:04,479 --> 01:39:07,519
Speaker 1: asap YouTube, if you're possibly willing to wait a little bit,

1897
01:39:07,560 --> 01:39:09,800
Speaker 1: everybody will be happy. You know, some people do forget this,

1898
01:39:09,880 --> 01:39:12,680
Speaker 1: but it is available as a podcast instantly. I know

1899
01:39:12,720 --> 01:39:14,280
Speaker 1: that many of you like to listen to that, but

1900
01:39:14,560 --> 01:39:16,200
Speaker 1: you know watching it, and we don't spend all this

1901
01:39:16,240 --> 01:39:18,680
Speaker 1: money on production for a reason, so I get it

1902
01:39:18,840 --> 01:39:21,040
Speaker 1: if you want to see as you actually can see.

1903
01:39:21,320 --> 01:39:23,040
Speaker 1: For those who are just watching, we do take it

1904
01:39:23,160 --> 01:39:26,519
Speaker 1: very seriously our responsibility to provide a very very good

1905
01:39:26,560 --> 01:39:28,720
Speaker 1: premium experience. So if you would like to help us

1906
01:39:29,320 --> 01:39:31,519
Speaker 1: the show, our mission and more, there's a link down

1907
01:39:31,560 --> 01:39:33,800
Speaker 1: there in the description. Otherwise, we will see you all

1908
01:39:33,920 --> 01:39:45,920
Speaker 1: on Thursday. Love y'all, See you Thursday.