1
00:00:00,080 --> 00:00:01,599
Speaker 1: Hey guys, Saga and Crystal here.

2
00:00:01,680 --> 00:00:05,200
Speaker 2: Independent media just played a truly massive role in this election,

3
00:00:05,360 --> 00:00:07,840
Speaker 2: and we are so excited about what that means for

4
00:00:07,880 --> 00:00:08,720
Speaker 2: the future of this show.

5
00:00:08,880 --> 00:00:10,760
Speaker 1: This is the only place where you can find honest

6
00:00:10,760 --> 00:00:13,239
Speaker 1: perspectives from the left and the right that simply does

7
00:00:13,320 --> 00:00:14,680
Speaker 1: not exist anywhere else.

8
00:00:14,760 --> 00:00:17,080
Speaker 2: So if that is something that's important to you, please

9
00:00:17,120 --> 00:00:19,599
Speaker 2: go to Breakingpoints dot com. Become a member today and

10
00:00:19,640 --> 00:00:22,800
Speaker 2: you'll get access to our full shows, unedited, ad free,

11
00:00:22,800 --> 00:00:25,600
Speaker 2: and all put together for you every morning in your inbox.

12
00:00:25,680 --> 00:00:27,560
Speaker 1: We need your help to build the future of independent

13
00:00:27,560 --> 00:00:29,920
Speaker 1: news media and we hope to see you at Breakingpoints

14
00:00:29,960 --> 00:00:36,320
Speaker 1: dot com. Good morning, everybody, Happy Thursday. Have an amazing

15
00:00:36,360 --> 00:00:38,360
Speaker 1: show for everybody today or we have Crystal.

16
00:00:38,000 --> 00:00:40,760
Speaker 2: Indeed we do. We got some new numbers on the economy.

17
00:00:40,800 --> 00:00:43,120
Speaker 2: They are not looking good. We've also got a new

18
00:00:43,320 --> 00:00:45,920
Speaker 2: pardon from Trump. This one of a corrupt Democrats, a

19
00:00:45,920 --> 00:00:48,519
Speaker 2: little bit of a bipartisan corruption. Not that that's an

20
00:00:48,600 --> 00:00:51,120
Speaker 2: unusual thing here in Washington. It's like a look at

21
00:00:51,120 --> 00:00:53,680
Speaker 2: that one. This one impacts the House because this was

22
00:00:53,720 --> 00:00:56,680
Speaker 2: a this is a representati of the House. It was indicted. Anyway,

23
00:00:56,720 --> 00:00:59,920
Speaker 2: a lot of potential implications there. We've got new photos

24
00:01:00,080 --> 00:01:04,000
Speaker 2: in videos released by the House Oversight Committee of Epstein's Island.

25
00:01:04,000 --> 00:01:06,000
Speaker 2: We will show you that they are also attempting to

26
00:01:06,040 --> 00:01:09,440
Speaker 2: get more financial records that they could reveal to the public.

27
00:01:09,560 --> 00:01:12,240
Speaker 2: So some significant developments there. Taking a look at the

28
00:01:12,280 --> 00:01:16,920
Speaker 2: political fallout after this Tennessee election was closer than comfort

29
00:01:16,959 --> 00:01:20,520
Speaker 2: I guess for Republicans in that special and what they

30
00:01:20,520 --> 00:01:23,320
Speaker 2: are looking at heading into the midterms. There's a lot

31
00:01:23,319 --> 00:01:26,800
Speaker 2: of Republicans sort of maneuvering. Mike Johnson's getting thrown under

32
00:01:26,840 --> 00:01:29,319
Speaker 2: the bus, so we'll look at that, Hillary Clinton and

33
00:01:29,360 --> 00:01:32,399
Speaker 2: others letting it all hang out on Israel. CNN is

34
00:01:32,480 --> 00:01:35,560
Speaker 2: partnering with kelshi as we just send further into this

35
00:01:35,680 --> 00:01:38,959
Speaker 2: capitalist healthscape, and we've got some new details on those

36
00:01:39,080 --> 00:01:42,760
Speaker 2: boat strikes as Admiral Bradley does head to the Hill today,

37
00:01:42,880 --> 00:01:45,160
Speaker 2: So some significant movement there as well.

38
00:01:45,240 --> 00:01:48,000
Speaker 1: That's right. Thank you. Everybody's been signing up Breakingpoints dot com.

39
00:01:48,040 --> 00:01:50,400
Speaker 1: If you can support our work over here, become a

40
00:01:50,480 --> 00:01:52,840
Speaker 1: premium member. By the way, it's been very cool to

41
00:01:52,840 --> 00:01:55,600
Speaker 1: see all of your Spotify raps. If we were in

42
00:01:55,680 --> 00:01:58,360
Speaker 1: your top we did record a little video for all

43
00:01:58,400 --> 00:02:00,480
Speaker 1: of you, and so thank you all very much. It

44
00:02:00,520 --> 00:02:02,000
Speaker 1: is very very cool to see and we were looking

45
00:02:02,080 --> 00:02:04,880
Speaker 1: we achieved significant growth actually some one hundred and thirty

46
00:02:04,880 --> 00:02:07,640
Speaker 1: percent in Greece apparently in our podcast. I was looking

47
00:02:07,680 --> 00:02:09,520
Speaker 1: at the stats that they sent over to us. So

48
00:02:09,560 --> 00:02:10,960
Speaker 1: thank you all very much. And that was just on

49
00:02:10,960 --> 00:02:12,960
Speaker 1: the Spotify platform. So if you are listening to this

50
00:02:13,000 --> 00:02:15,519
Speaker 1: as a podcast, please rate us five stars, share it

51
00:02:15,600 --> 00:02:17,440
Speaker 1: with the friend. Really helps other people find the show.

52
00:02:17,440 --> 00:02:19,080
Speaker 1: Apparently a lot of you did that this year, so

53
00:02:19,120 --> 00:02:21,639
Speaker 1: thank you all very much. Seriously, it does mean a lot.

54
00:02:21,680 --> 00:02:23,560
Speaker 1: It's very cool to see the numbers and it's also

55
00:02:23,600 --> 00:02:25,320
Speaker 1: kind of fun to see what other people listen to. Yeah,

56
00:02:25,320 --> 00:02:29,440
Speaker 1: I'm a very eclectic fan base. People listening to comedy

57
00:02:29,600 --> 00:02:31,200
Speaker 1: only news. It's kind of.

58
00:02:31,120 --> 00:02:33,359
Speaker 2: Amazing my last few months. It turns out we're very

59
00:02:33,360 --> 00:02:34,799
Speaker 2: dominated by K pop demon Hunt.

60
00:02:35,280 --> 00:02:35,880
Speaker 1: Yeah you know.

61
00:02:36,800 --> 00:02:39,040
Speaker 2: To me, my eight year old is also listening on

62
00:02:39,040 --> 00:02:39,480
Speaker 2: my bones.

63
00:02:39,600 --> 00:02:41,720
Speaker 1: That's the funny thing is all my songs are just

64
00:02:41,880 --> 00:02:44,200
Speaker 1: songs that the kid will go to sleep too, right,

65
00:02:44,280 --> 00:02:47,720
Speaker 1: so it's all You're welcome from Mowana. Yeah, one song

66
00:02:48,440 --> 00:02:48,960
Speaker 1: I will.

67
00:02:48,880 --> 00:02:51,040
Speaker 2: Sit down to the Disney Age and and today.

68
00:02:51,040 --> 00:02:55,360
Speaker 1: K Pop demon era me. Also, my podcast listening moments

69
00:02:55,400 --> 00:02:58,280
Speaker 1: went down by forty percent. So that's what fatherhood has done.

70
00:02:58,440 --> 00:03:01,720
Speaker 1: It's destroyed, it's destroyed my podcast listening time. It's all

71
00:03:01,720 --> 00:03:04,680
Speaker 1: worth it anyway, Thank you all very much, seriously, very gratifying.

72
00:03:04,680 --> 00:03:06,840
Speaker 1: I know YouTube has its own wrapped function as well.

73
00:03:06,960 --> 00:03:08,720
Speaker 1: It's also cool to see us on that. So let's

74
00:03:08,720 --> 00:03:11,960
Speaker 1: go ahead and start with the economy. Some troubling job

75
00:03:12,240 --> 00:03:15,560
Speaker 1: job numbers coming from ADP with an immediate reaction here

76
00:03:15,600 --> 00:03:19,560
Speaker 1: from CNBC summarizing how this was a major, unexpected, actually

77
00:03:19,639 --> 00:03:20,920
Speaker 1: job loss that hit Wall Street.

78
00:03:21,000 --> 00:03:24,160
Speaker 3: Let's take a listen, big miss on the ADP payrolls

79
00:03:24,440 --> 00:03:27,440
Speaker 3: the private payroll company saying private payrolls shed thirty two

80
00:03:27,480 --> 00:03:30,720
Speaker 3: thousand workers in November. That's the fourth negative number in

81
00:03:30,760 --> 00:03:33,720
Speaker 3: the past six months for this series. Take a look here.

82
00:03:33,840 --> 00:03:36,360
Speaker 3: The estimate was for forty thousand, so the Street was

83
00:03:36,400 --> 00:03:38,720
Speaker 3: off on this one. But the big story here and

84
00:03:38,760 --> 00:03:41,440
Speaker 3: I'll show you more detail on this is what's happening

85
00:03:41,480 --> 00:03:44,920
Speaker 3: with small business down one hundred and twenty thousand, medium

86
00:03:44,920 --> 00:03:47,240
Speaker 3: and large business doing okay, up fifty one to thirty

87
00:03:47,320 --> 00:03:50,200
Speaker 3: nine thousand, respectively. But take a look at this chart

88
00:03:50,240 --> 00:03:54,040
Speaker 3: here Virtually all of the job losses have come from

89
00:03:54,280 --> 00:03:56,760
Speaker 3: small business, which has been negative in six of seven

90
00:03:56,800 --> 00:04:00,520
Speaker 3: months since April. Without those losses, ADP numbers would actually

91
00:04:00,560 --> 00:04:03,080
Speaker 3: be positive. But you can't get rid of it. You

92
00:04:03,120 --> 00:04:06,840
Speaker 3: can't exclude small business, at least according to ADP additional

93
00:04:06,840 --> 00:04:10,720
Speaker 3: weakness in the job market and small business getting hammered.

94
00:04:10,760 --> 00:04:13,400
Speaker 3: And there is some information that some of this may

95
00:04:13,480 --> 00:04:15,360
Speaker 3: be coming from being hammered by the tariffs.

96
00:04:16,240 --> 00:04:18,200
Speaker 1: So there you go. You can see saying some indication

97
00:04:18,279 --> 00:04:20,320
Speaker 1: in terms of the tariffs. But more importantly was the

98
00:04:20,400 --> 00:04:23,159
Speaker 1: miss in terms of the ADP numbers. The fourth negative

99
00:04:23,240 --> 00:04:25,839
Speaker 1: number in the past six numps and the estimate was

100
00:04:25,880 --> 00:04:28,680
Speaker 1: for that plus forty thousand. Let's go put a two

101
00:04:28,839 --> 00:04:31,120
Speaker 1: up here on the screen. Some interesting kind of firm

102
00:04:31,160 --> 00:04:34,320
Speaker 1: by firm data. Actually, what you see is that the

103
00:04:34,320 --> 00:04:38,240
Speaker 1: ADP losses is that most industries are doing layoffs. The

104
00:04:38,240 --> 00:04:41,279
Speaker 1: only ones still hiring are hospitality and healthcare.

105
00:04:41,440 --> 00:04:41,760
Speaker 3: Wow.

106
00:04:42,320 --> 00:04:45,880
Speaker 1: Actually that explains a lot, right, So healthcare with this exploitive, insane,

107
00:04:45,960 --> 00:04:51,120
Speaker 1: destructive system. Hospitality is entirely dominated by the top ten percent,

108
00:04:51,440 --> 00:04:54,400
Speaker 1: and so that means that the rich can continue to

109
00:04:54,440 --> 00:04:57,479
Speaker 1: travel every again. If you're a sucker for this type

110
00:04:57,480 --> 00:05:00,680
Speaker 1: of lifestyle pornography. The Wall Street Journal every other day

111
00:05:00,760 --> 00:05:03,360
Speaker 1: is always like big hotels are booming than ever, or

112
00:05:03,400 --> 00:05:07,040
Speaker 1: like why Rich Carlton is more in demand than any other,

113
00:05:07,279 --> 00:05:09,640
Speaker 1: And I always click on them and I always read

114
00:05:09,680 --> 00:05:12,720
Speaker 1: them because there is just something to this like economy

115
00:05:12,760 --> 00:05:15,279
Speaker 1: where you've got top ten percent who spend fifty percent

116
00:05:15,560 --> 00:05:18,280
Speaker 1: of the money and so ninety percent of people overall

117
00:05:18,520 --> 00:05:21,920
Speaker 1: not doing either as well and not spending nearly as much,

118
00:05:21,920 --> 00:05:23,800
Speaker 1: and so that I think it's called K shaped right

119
00:05:23,880 --> 00:05:26,200
Speaker 1: in terms of the economy. But what you can see

120
00:05:26,320 --> 00:05:29,560
Speaker 1: very specifically is that those smaller to medium sized firms,

121
00:05:29,880 --> 00:05:34,440
Speaker 1: really the backbone of American innovation and of community is

122
00:05:34,560 --> 00:05:36,800
Speaker 1: really hurting. So there was a one to nineteen employees

123
00:05:36,839 --> 00:05:38,880
Speaker 1: for something like our company has a reduction of some

124
00:05:38,920 --> 00:05:41,360
Speaker 1: forty six thousand, and then the twenty to forty nine

125
00:05:41,360 --> 00:05:44,640
Speaker 1: employees down by seventy four thousand. So these smaller firms

126
00:05:44,680 --> 00:05:48,039
Speaker 1: are really having trouble. Larger companies are still hiring, but

127
00:05:49,000 --> 00:05:51,760
Speaker 1: quote a tough year for small business due to tariffs

128
00:05:51,760 --> 00:05:54,920
Speaker 1: and more selective spending from lower and middle class consumers.

129
00:05:54,920 --> 00:05:56,600
Speaker 1: And I think that you know, really hits it home

130
00:05:56,680 --> 00:05:59,040
Speaker 1: is the lower middle class consumer and other And if

131
00:05:59,040 --> 00:06:01,880
Speaker 1: you really think about you know, the Amazons of the worlds,

132
00:06:01,920 --> 00:06:05,920
Speaker 1: the Googles and even retail that goes after either everybody

133
00:06:06,040 --> 00:06:08,440
Speaker 1: and or can selectively make it so that they're very

134
00:06:08,480 --> 00:06:11,599
Speaker 1: desirable to that high income family, they're going to be fine,

135
00:06:11,640 --> 00:06:13,320
Speaker 1: you know, and something like this. In addition to the

136
00:06:13,320 --> 00:06:16,760
Speaker 1: big business, but if you're a smaller, medium sized firm,

137
00:06:16,800 --> 00:06:19,960
Speaker 1: maybe you do like services or something like that, doesn't

138
00:06:20,000 --> 00:06:22,640
Speaker 1: necessarily that goes to everybody, not necessarily to the top

139
00:06:22,839 --> 00:06:25,720
Speaker 1: ten percent. That's exactly who's struggling in this and that's

140
00:06:25,760 --> 00:06:27,640
Speaker 1: really that's you know, it sucks, right because if you

141
00:06:27,640 --> 00:06:30,800
Speaker 1: think about smaller, medium size maybe brick and mortar businesses

142
00:06:30,839 --> 00:06:33,279
Speaker 1: in towns and others where let's say your income is

143
00:06:33,320 --> 00:06:35,960
Speaker 1: below one hundred and fifty thousand per year in terms

144
00:06:35,960 --> 00:06:37,719
Speaker 1: of the median, that's that's going to be a tough

145
00:06:37,720 --> 00:06:38,599
Speaker 1: place to do business.

146
00:06:38,680 --> 00:06:40,560
Speaker 2: Yeah, well, it makes sense when you think about the

147
00:06:40,600 --> 00:06:44,000
Speaker 2: tariff impact. When we first had a quote unquote Liberation Day,

148
00:06:44,360 --> 00:06:46,960
Speaker 2: we covered a number of these small businesses that were like,

149
00:06:47,560 --> 00:06:49,800
Speaker 2: I have no idea how we're going to be able

150
00:06:49,800 --> 00:06:52,760
Speaker 2: to survive because even though they had a profitable business.

151
00:06:53,120 --> 00:06:55,960
Speaker 2: A lot of these small businesses like they're living sort

152
00:06:56,000 --> 00:06:57,680
Speaker 2: of month to month, you know, they don't have a

153
00:06:57,720 --> 00:07:00,799
Speaker 2: giant cash reserve so that they can wait until Trump

154
00:07:00,800 --> 00:07:02,599
Speaker 2: figures out what the hell is going on or the

155
00:07:02,600 --> 00:07:05,160
Speaker 2: courts get involved and he changes the rates and makes

156
00:07:05,160 --> 00:07:07,560
Speaker 2: it so that you can sustain yourself in that time.

157
00:07:07,600 --> 00:07:10,680
Speaker 2: You're bleeding, if not completely dying, So it makes sense

158
00:07:10,720 --> 00:07:12,440
Speaker 2: on that level. It also makes sense on the level

159
00:07:12,480 --> 00:07:13,840
Speaker 2: that you're not going to be the one that gets

160
00:07:13,840 --> 00:07:15,600
Speaker 2: to go to the Mar A Lago dinner, gets to

161
00:07:15,600 --> 00:07:17,360
Speaker 2: offer your gold bar in the White House to be

162
00:07:17,440 --> 00:07:20,520
Speaker 2: able to be saved by the king. So you know,

163
00:07:20,600 --> 00:07:24,040
Speaker 2: I think that's another element of why small businesses are

164
00:07:24,080 --> 00:07:27,000
Speaker 2: the ones being decimated. In particular, they're also not likely

165
00:07:27,040 --> 00:07:29,800
Speaker 2: to be the ones participating in the Great Ai Revolution

166
00:07:30,280 --> 00:07:32,920
Speaker 2: that is propping up so much of the economy at

167
00:07:32,920 --> 00:07:35,920
Speaker 2: this point, so you know, we're really starting to see

168
00:07:35,920 --> 00:07:37,880
Speaker 2: the effects. And the other thing, you know, we normally

169
00:07:37,880 --> 00:07:41,280
Speaker 2: in the past whe have necessarily covered the ADP Jobs

170
00:07:41,320 --> 00:07:44,080
Speaker 2: Report because we would have relied on the government numbers.

171
00:07:44,680 --> 00:07:47,000
Speaker 2: They don't put the numbers down anymore. Number one, I mean,

172
00:07:47,000 --> 00:07:48,880
Speaker 2: you know, during the shutdown, we didn't get anything. And

173
00:07:48,960 --> 00:07:51,200
Speaker 2: number two, I don't think anyone has any confidence in

174
00:07:51,240 --> 00:07:54,280
Speaker 2: these numbers whatsoever, So that has made the ADP numbers

175
00:07:54,400 --> 00:07:57,800
Speaker 2: that much more significant. There's another aspect of this, of course,

176
00:07:57,840 --> 00:08:01,120
Speaker 2: which is the political aspect. How is the administry messaging

177
00:08:01,160 --> 00:08:03,720
Speaker 2: all of this. Earlier in the week, Trump said that

178
00:08:03,760 --> 00:08:07,480
Speaker 2: affordability is a democratic con job. So that's what the

179
00:08:07,560 --> 00:08:10,120
Speaker 2: language coming from the President of the United States. And

180
00:08:10,280 --> 00:08:12,520
Speaker 2: you've got Scott Bessett who has now made this claim.

181
00:08:12,560 --> 00:08:14,680
Speaker 2: I think a couple of times that the best thing

182
00:08:14,720 --> 00:08:16,760
Speaker 2: you can do, and we covered this previously on the show,

183
00:08:16,760 --> 00:08:18,360
Speaker 2: the best thing you can do if you're worried about

184
00:08:18,400 --> 00:08:21,840
Speaker 2: inflation is move move to a red state because inflation

185
00:08:22,000 --> 00:08:24,960
Speaker 2: is lower in red states. Turns out that is not

186
00:08:25,000 --> 00:08:27,600
Speaker 2: true whatsoever. And he got called on it live. Let's

187
00:08:27,640 --> 00:08:28,320
Speaker 2: take a look at that.

188
00:08:28,600 --> 00:08:31,520
Speaker 4: People in her district are having an affordability problem. I

189
00:08:31,520 --> 00:08:34,239
Speaker 4: should have said, well, she's in a red state. Affordability

190
00:08:34,280 --> 00:08:37,480
Speaker 4: is worse. I mean in a blue state, affordability is

191
00:08:37,600 --> 00:08:41,079
Speaker 4: worse than a blue state. We can debate that. No, no,

192
00:08:41,200 --> 00:08:46,040
Speaker 4: there's no debate that the number fifty basis points higher inflation.

193
00:08:46,760 --> 00:08:54,280
Speaker 4: The ten highest the inflation rates they are in blue cities.

194
00:08:54,679 --> 00:08:58,920
Speaker 5: But just you know, because I went to look at this,

195
00:08:58,920 --> 00:09:02,319
Speaker 5: this is the Joint Economic Man since twenty twenty one.

196
00:09:03,120 --> 00:09:06,199
Speaker 5: The highest inflation of the past four years has been

197
00:09:06,200 --> 00:09:09,920
Speaker 5: in red states, especially from Florida. I'm talking about current

198
00:09:10,200 --> 00:09:14,480
Speaker 5: current current, not over the past four years today. Okay,

199
00:09:16,120 --> 00:09:19,640
Speaker 5: I would think four years would be a reasonable to

200
00:09:19,880 --> 00:09:21,280
Speaker 5: trend line to look at.

201
00:09:21,520 --> 00:09:23,800
Speaker 2: Just utterly observed. I mean, the thing is stupid to

202
00:09:23,800 --> 00:09:26,679
Speaker 2: start with, like, oh, just upwart your whole life and

203
00:09:26,760 --> 00:09:29,120
Speaker 2: move somewhere. We're not going to do anything. But if

204
00:09:29,160 --> 00:09:32,600
Speaker 2: you're worried about inflation, go ahead and uproot your whole life,

205
00:09:32,840 --> 00:09:35,840
Speaker 2: find a new job, sell your house, good luck getting

206
00:09:35,840 --> 00:09:37,720
Speaker 2: a mortgage at the same rate, and move to a

207
00:09:37,760 --> 00:09:41,080
Speaker 2: different place that has slightly lower inflation. Because we're certainly

208
00:09:41,080 --> 00:09:43,800
Speaker 2: not doing anything for you. And then even on the

209
00:09:43,880 --> 00:09:47,360
Speaker 2: merits of that that he's getting called out that like, well,

210
00:09:47,440 --> 00:09:50,200
Speaker 2: that's not actually really even true unless you have this

211
00:09:50,320 --> 00:09:53,600
Speaker 2: like very so well in the past thirty six days

212
00:09:53,679 --> 00:09:58,520
Speaker 2: in cities. Only then this actually works out just ridiculous.

213
00:09:58,559 --> 00:10:01,040
Speaker 1: It is so stupid. Yeah, those where it's like, dude,

214
00:10:01,080 --> 00:10:04,880
Speaker 1: I mean, this is why him and there's what a

215
00:10:04,920 --> 00:10:08,320
Speaker 1: few others, Kevin Hassett and others like they are just

216
00:10:08,559 --> 00:10:11,600
Speaker 1: like the Biden officials who would go out in twenty

217
00:10:11,640 --> 00:10:15,360
Speaker 1: twenty two and they'd be like, actually, we're tackling inflation Bidenomics,

218
00:10:15,679 --> 00:10:18,200
Speaker 1: and it was met with, like, you know, it was

219
00:10:18,320 --> 00:10:21,240
Speaker 1: met with ridicule. I think correctly. But I mean not

220
00:10:21,360 --> 00:10:24,240
Speaker 1: just by Wall Street, but by I think everyday consumers.

221
00:10:24,280 --> 00:10:27,120
Speaker 1: And yeah, I mean fundamentally, what exactly is the message

222
00:10:27,160 --> 00:10:29,640
Speaker 1: like living in a red state is better? Like yeah, maybe,

223
00:10:29,720 --> 00:10:31,319
Speaker 1: I mean it depends on what you value, right, I

224
00:10:31,400 --> 00:10:33,920
Speaker 1: mean that's the whole point of living in different states. Yeah,

225
00:10:34,000 --> 00:10:36,120
Speaker 1: we all have. You know, every every state gets to

226
00:10:36,160 --> 00:10:38,480
Speaker 1: do things a little bit differently. For example, if you're

227
00:10:38,480 --> 00:10:40,360
Speaker 1: in Florida, you can live in a boomer hell where

228
00:10:40,360 --> 00:10:43,040
Speaker 1: they want to reduce property taxes. So you know, that's

229
00:10:43,040 --> 00:10:46,480
Speaker 1: your right as Americans. You can do that if you

230
00:10:46,520 --> 00:10:49,680
Speaker 1: would like you know, you certainly can. And then you

231
00:10:49,720 --> 00:10:51,920
Speaker 1: know you can also live in you can also live

232
00:10:51,920 --> 00:10:54,240
Speaker 1: in what what's the highest tax that California? You know,

233
00:10:54,280 --> 00:10:56,559
Speaker 1: some people they're like, sunshine is worth it to live

234
00:10:56,600 --> 00:10:58,440
Speaker 1: with a bunch of fence and all bums who are

235
00:10:58,480 --> 00:11:01,280
Speaker 1: living around me, no criminal justice. That's fine. You could

236
00:11:01,280 --> 00:11:03,480
Speaker 1: do that if you want to. That's America, all right.

237
00:11:04,320 --> 00:11:07,240
Speaker 1: So it's just one of those where well to choose.

238
00:11:07,280 --> 00:11:09,800
Speaker 2: By the way, after Zorn's election, you know, there's all

239
00:11:10,040 --> 00:11:12,280
Speaker 2: the rich people are going to leave New York. Apparently

240
00:11:12,360 --> 00:11:14,480
Speaker 2: luxury real estate sales are actually up in New York,

241
00:11:14,559 --> 00:11:15,600
Speaker 2: so everybody relaxed.

242
00:11:15,600 --> 00:11:17,040
Speaker 1: I wouldn't say that sense the rich.

243
00:11:16,920 --> 00:11:18,880
Speaker 2: People are staying in New York City. If that was

244
00:11:18,920 --> 00:11:20,360
Speaker 2: a concern for you, yeah.

245
00:11:20,440 --> 00:11:22,920
Speaker 1: I mean, it was not never a particular guy. I

246
00:11:23,000 --> 00:11:24,760
Speaker 1: don't spend a lot of time thinking about the global

247
00:11:24,840 --> 00:11:27,520
Speaker 1: rich in New York City or a Los Angeles or

248
00:11:27,520 --> 00:11:29,439
Speaker 1: any of these other places. But yeah, I mean, and

249
00:11:29,640 --> 00:11:32,440
Speaker 1: this is part of what's so stupid, I think broadly

250
00:11:32,520 --> 00:11:35,560
Speaker 1: around the thing. And it also just gets to also

251
00:11:36,400 --> 00:11:40,800
Speaker 1: the being out of touch importantly with the economy whenever

252
00:11:40,880 --> 00:11:43,840
Speaker 1: it comes to these officials, affordability is a con job.

253
00:11:43,960 --> 00:11:46,920
Speaker 1: Just uproot and move if you would like. It also

254
00:11:47,200 --> 00:11:49,120
Speaker 1: just gets to the point of you know that we

255
00:11:49,520 --> 00:11:51,839
Speaker 1: always talk about with Trump is division, division, division, and

256
00:11:51,880 --> 00:11:54,440
Speaker 1: he's used that very very effectively. But the thing is

257
00:11:54,559 --> 00:11:58,960
Speaker 1: right now is that this idea of like in terms

258
00:11:59,000 --> 00:12:01,520
Speaker 1: of the red state versus the blue trying to pit

259
00:12:01,559 --> 00:12:05,120
Speaker 1: people against each other. What I think that misunderstands is

260
00:12:05,160 --> 00:12:08,160
Speaker 1: that on economic questions, people are actually a lot more

261
00:12:08,240 --> 00:12:11,199
Speaker 1: united than ever before. They're really not in a war

262
00:12:12,200 --> 00:12:14,199
Speaker 1: like in the same way they might be on culture

263
00:12:14,559 --> 00:12:17,199
Speaker 1: or anything else. Like, they are pretty united in saying

264
00:12:17,240 --> 00:12:20,560
Speaker 1: that housing and inflation are the two pillar problems. And

265
00:12:20,559 --> 00:12:22,959
Speaker 1: that's why I think that rhetoric like that really doesn't land,

266
00:12:23,040 --> 00:12:25,800
Speaker 1: and it actually makes light of a very serious situation

267
00:12:26,280 --> 00:12:28,000
Speaker 1: no matter where you live. And that's part of the

268
00:12:28,040 --> 00:12:31,560
Speaker 1: where the division strategy, which is very effective on culture,

269
00:12:31,600 --> 00:12:34,080
Speaker 1: I don't think it lands even close on economy or

270
00:12:34,120 --> 00:12:36,320
Speaker 1: on immigration, right, It's just not the same issues set.

271
00:12:36,640 --> 00:12:40,160
Speaker 2: Yeah, that's an interesting thought because certainly at other times,

272
00:12:40,200 --> 00:12:43,600
Speaker 2: like when Trump was in his initial political rise back

273
00:12:43,600 --> 00:12:46,280
Speaker 2: in twenty fifteen twenty sixteen, there was more of a

274
00:12:46,320 --> 00:12:49,000
Speaker 2: sense of like, the cities are doing great, and thrust

275
00:12:49,040 --> 00:12:52,679
Speaker 2: of the country is getting screwed. Now the senses everybody's

276
00:12:52,720 --> 00:12:55,320
Speaker 2: getting screwed. We're all getting screwed. And you know, the

277
00:12:55,400 --> 00:12:57,960
Speaker 2: rich people are right in the rules. They're rigging the system,

278
00:12:58,240 --> 00:13:01,120
Speaker 2: they're sucking up everything, they're doing their ai thing. They're

279
00:13:01,160 --> 00:13:03,960
Speaker 2: you know, looking at being trillionaires, and meanwhile, you know,

280
00:13:04,000 --> 00:13:06,480
Speaker 2: we'll get to CNN now doing deals with Calshi so

281
00:13:06,520 --> 00:13:09,079
Speaker 2: that they can you know, get you further addicted to

282
00:13:09,400 --> 00:13:13,320
Speaker 2: gambling and exploit and abuse you even more. Like we're

283
00:13:13,360 --> 00:13:16,920
Speaker 2: just at this point of absurdity in terms of where

284
00:13:16,960 --> 00:13:20,480
Speaker 2: the capitalist system is. So you know, I mean, all

285
00:13:20,480 --> 00:13:23,480
Speaker 2: the stress signs are there. People are screaming loud and clear.

286
00:13:23,760 --> 00:13:25,880
Speaker 2: We do not feel like this economy is going well.

287
00:13:25,920 --> 00:13:27,640
Speaker 2: We don't think it's going to go well. We are

288
00:13:27,679 --> 00:13:29,880
Speaker 2: not hopeful about our future. We're not helpful about our

289
00:13:29,960 --> 00:13:32,360
Speaker 2: kids future. We don't feel like you're focused on the

290
00:13:32,360 --> 00:13:35,199
Speaker 2: things that you said you would be in the campaign.

291
00:13:35,360 --> 00:13:37,080
Speaker 2: Now whether or not they were right to think he'd

292
00:13:37,120 --> 00:13:38,640
Speaker 2: really be great on business, I mean think I think

293
00:13:38,679 --> 00:13:41,640
Speaker 2: it's reasonable to I think it's reasonable for an ordinary

294
00:13:41,720 --> 00:13:43,480
Speaker 2: piece person to be like, you know what, the economy

295
00:13:43,480 --> 00:13:47,200
Speaker 2: was better under his first administration. He's a business guy.

296
00:13:47,520 --> 00:13:49,559
Speaker 2: He's going to be focused on this. It's going to

297
00:13:49,600 --> 00:13:51,720
Speaker 2: be better for me and my family. And to feel

298
00:13:51,720 --> 00:13:55,280
Speaker 2: a genuine sense of disappointment and frankly betrayal that that

299
00:13:55,320 --> 00:13:58,640
Speaker 2: has not been his focus, and then the audacity to

300
00:13:58,720 --> 00:14:02,280
Speaker 2: tell you that affordability is a con job made up

301
00:14:02,320 --> 00:14:05,959
Speaker 2: by the Democrats while you're looking at him hanging out

302
00:14:06,000 --> 00:14:09,199
Speaker 2: with Mark Zuckerberg and Sam Altman and these other characters

303
00:14:09,480 --> 00:14:12,320
Speaker 2: giving them the world while they build out their data

304
00:14:12,360 --> 00:14:15,280
Speaker 2: centers and spike your electricity bills. Yeah, you're going to

305
00:14:15,360 --> 00:14:18,240
Speaker 2: be disgusted and you're going to The Republican Party is

306
00:14:18,280 --> 00:14:21,640
Speaker 2: going to pay a massive political price for abandoning people

307
00:14:21,680 --> 00:14:25,160
Speaker 2: at a time when they are increasingly feeling the squeeze.

308
00:14:25,200 --> 00:14:27,800
Speaker 2: These ADP numbers are just one more sign that, you know,

309
00:14:27,880 --> 00:14:31,880
Speaker 2: there was a lot of opium from the UH, from

310
00:14:32,120 --> 00:14:35,320
Speaker 2: MAGA insiders here that you and Emily both were speaking

311
00:14:35,360 --> 00:14:37,720
Speaker 2: to that they felt like, oh, you know, we're going

312
00:14:37,800 --> 00:14:39,760
Speaker 2: to do this tariff thing. There's going to be some pain,

313
00:14:39,800 --> 00:14:41,440
Speaker 2: but you know, a year from now things are going

314
00:14:41,480 --> 00:14:43,920
Speaker 2: to be turning around. When we're going into midterms, people

315
00:14:43,960 --> 00:14:46,520
Speaker 2: are going to be feeling like things are great now.

316
00:14:46,560 --> 00:14:48,920
Speaker 2: It seems like even they've abandoned that to you know,

317
00:14:49,040 --> 00:14:51,360
Speaker 2: falling back on well, just move to a different state

318
00:14:51,520 --> 00:14:53,800
Speaker 2: if you feel bad about things the way they are,

319
00:14:54,240 --> 00:14:57,040
Speaker 2: or you know, just to pretend like none of this

320
00:14:57,080 --> 00:14:59,800
Speaker 2: is a problem. Affordability is a con job just did

321
00:14:59,840 --> 00:15:02,560
Speaker 2: not the reality that you're living literally every single day.

322
00:15:03,280 --> 00:15:06,400
Speaker 1: On the tariff question, if you think about it, it

323
00:15:06,440 --> 00:15:09,760
Speaker 1: was paired specifically with it's going to make America richer.

324
00:15:10,160 --> 00:15:12,600
Speaker 1: It's also going to bring back business that has just

325
00:15:12,640 --> 00:15:15,880
Speaker 1: simply not been the case. Why because as we said

326
00:15:16,040 --> 00:15:19,040
Speaker 1: a myriad times, there's no problem with tariffs. Tariffs are fine.

327
00:15:19,120 --> 00:15:23,720
Speaker 1: I support tariffs. You use them as a tool in uh,

328
00:15:23,920 --> 00:15:27,320
Speaker 1: you pair it with a lot not just industrial policy,

329
00:15:27,600 --> 00:15:32,920
Speaker 1: but a concerted bureaucratic strategic effort that says, these are

330
00:15:32,960 --> 00:15:34,520
Speaker 1: the types of things that we want to Now. Actually,

331
00:15:34,520 --> 00:15:35,840
Speaker 1: in some ways they have done that. It's just to

332
00:15:35,840 --> 00:15:38,240
Speaker 1: the benefit of only the AI industry. But if that

333
00:15:38,320 --> 00:15:39,960
Speaker 1: bubble pops, that's a big problem.

334
00:15:40,000 --> 00:15:42,200
Speaker 2: And as I show, it's not something that really better.

335
00:15:42,280 --> 00:15:45,000
Speaker 2: I mean, there's some construction, like the construction industry is

336
00:15:45,040 --> 00:15:47,920
Speaker 2: doing okay because of the data center build out, but

337
00:15:48,200 --> 00:15:50,480
Speaker 2: in terms of long term jobs as data centers require

338
00:15:50,480 --> 00:15:53,520
Speaker 2: like fifty people. Yeah, techn minimal technology.

339
00:15:53,000 --> 00:15:56,240
Speaker 1: Is a power law business. The wealth vastly accumulates to

340
00:15:56,320 --> 00:15:59,120
Speaker 1: the founders and to the employeeses. That is literally the

341
00:15:59,160 --> 00:16:02,160
Speaker 1: story of Silicon Valley and of software engineering. That's why

342
00:16:02,200 --> 00:16:04,680
Speaker 1: it makes them all filthy rich. That's fine, but the

343
00:16:04,720 --> 00:16:06,520
Speaker 1: point is not to say that that should be the

344
00:16:06,520 --> 00:16:09,600
Speaker 1: basis of the entire United States economy. And in fact,

345
00:16:09,600 --> 00:16:12,080
Speaker 1: if you want you know, industrial policy or something, you

346
00:16:12,160 --> 00:16:14,520
Speaker 1: want to be able to support the other types of businesses,

347
00:16:14,600 --> 00:16:17,920
Speaker 1: to industries that don't have power law returns necessarily but

348
00:16:17,960 --> 00:16:21,760
Speaker 1: are really important to your overall industrial base, things like cars,

349
00:16:22,440 --> 00:16:25,800
Speaker 1: things like I mean, you know, metals. Again, we don't

350
00:16:25,800 --> 00:16:28,320
Speaker 1: even have to be woke about oil refineries if we

351
00:16:28,360 --> 00:16:32,280
Speaker 1: want to, nuclear power plants. All of these are highly

352
00:16:32,360 --> 00:16:36,680
Speaker 1: capital intensive businesses, but the returns are much more broad

353
00:16:36,720 --> 00:16:40,320
Speaker 1: based across society, and they actually help lift everybody up together.

354
00:16:40,360 --> 00:16:41,920
Speaker 1: We don't have a lot of that. And so that's

355
00:16:41,960 --> 00:16:44,520
Speaker 1: where I think the big failure is. And I also look,

356
00:16:44,560 --> 00:16:48,080
Speaker 1: it's December fourth. Trump has literally almost been president for

357
00:16:48,160 --> 00:16:50,160
Speaker 1: a year. What is eleven months now, I think almost

358
00:16:50,200 --> 00:16:52,720
Speaker 1: exactly to the day. So you've been president for eleven months.

359
00:16:52,720 --> 00:16:54,160
Speaker 1: And the same thing, you know, if you think back

360
00:16:54,400 --> 00:16:58,320
Speaker 1: to Biden, even Obama, Obama, things very much soured on

361
00:16:58,360 --> 00:17:01,960
Speaker 1: his term by this point in people's presidencies. Bill Clinton

362
00:17:02,200 --> 00:17:04,800
Speaker 1: is the same thing. It's very difficult actually to turn

363
00:17:04,840 --> 00:17:06,800
Speaker 1: around Once you're at this point, you can become kind

364
00:17:06,800 --> 00:17:10,200
Speaker 1: of a manager and just hope things go on the upswing.

365
00:17:10,240 --> 00:17:12,159
Speaker 1: But like that's not their style, and so in the

366
00:17:12,200 --> 00:17:14,560
Speaker 1: absence of that, you're gonna have issues. The last thing

367
00:17:14,600 --> 00:17:16,320
Speaker 1: I do want to mention is about this tariff stuff,

368
00:17:16,320 --> 00:17:19,240
Speaker 1: because this could create a new fresh round of craziness.

369
00:17:19,320 --> 00:17:20,080
Speaker 1: Let's go to the next part.

370
00:17:20,119 --> 00:17:20,359
Speaker 3: Please.

371
00:17:20,720 --> 00:17:23,280
Speaker 1: This is best In at that same conference said that

372
00:17:23,320 --> 00:17:26,200
Speaker 1: the Trump administration will be able to replicate tariffs even

373
00:17:26,200 --> 00:17:28,800
Speaker 1: if it loses a Supreme Court decision. So, as we

374
00:17:28,880 --> 00:17:32,280
Speaker 1: had said here before, pretty it's pretty clear that the

375
00:17:32,320 --> 00:17:35,480
Speaker 1: Supreme Court is very skeptical of the Trump tariffs and

376
00:17:35,560 --> 00:17:39,879
Speaker 1: may even require refunds. But there are other longer solutions

377
00:17:39,880 --> 00:17:42,800
Speaker 1: where they would be able to implement the same tariffs.

378
00:17:42,800 --> 00:17:44,800
Speaker 1: They just have to go through more of a bureaucratic process,

379
00:17:44,800 --> 00:17:46,960
Speaker 1: which takes a little bit longer. But he's saying that

380
00:17:47,000 --> 00:17:49,480
Speaker 1: they are committed to doing that. I'm only saying this

381
00:17:49,520 --> 00:17:52,200
Speaker 1: because it means that you could have similar Liberation Day

382
00:17:52,280 --> 00:17:55,720
Speaker 1: style craziness in our markets and in our economy. But

383
00:17:55,880 --> 00:17:58,680
Speaker 1: this would be six to eight months from now, which

384
00:17:58,720 --> 00:18:01,360
Speaker 1: just happens to be around the time of the November elections.

385
00:18:01,400 --> 00:18:05,040
Speaker 2: It also means that even if the Supreme Court rules,

386
00:18:05,680 --> 00:18:09,040
Speaker 2: then there's still no certainty, right, you know, it's not like, okay,

387
00:18:09,080 --> 00:18:11,399
Speaker 2: well we can't do this, so we're just not doing this.

388
00:18:11,560 --> 00:18:14,119
Speaker 2: Maybe they dis abandoned it, that's possible, or maybe they

389
00:18:14,280 --> 00:18:17,479
Speaker 2: try to, you know, go through a different process. Maybe

390
00:18:17,520 --> 00:18:19,520
Speaker 2: oh my god, they could actually work with Congress. But

391
00:18:19,560 --> 00:18:20,920
Speaker 2: I don't think Congress is going to give them what

392
00:18:20,960 --> 00:18:24,919
Speaker 2: they want at this point because Republicans, I mean Republicans

393
00:18:24,920 --> 00:18:28,240
Speaker 2: were never all on board with this direction to begin with,

394
00:18:28,600 --> 00:18:32,040
Speaker 2: and now Donald Trump has significantly weakened after the you know,

395
00:18:32,080 --> 00:18:35,480
Speaker 2: off your election losses. You one last thing to mention.

396
00:18:35,560 --> 00:18:37,640
Speaker 2: You're talking about, okay, well, what was what was promised

397
00:18:37,640 --> 00:18:40,280
Speaker 2: with the terrorists, Like what was the argument? The argument,

398
00:18:40,560 --> 00:18:42,920
Speaker 2: as we covered at the time, was incoherent and all

399
00:18:42,960 --> 00:18:43,560
Speaker 2: over the place.

400
00:18:43,680 --> 00:18:43,840
Speaker 1: Right.

401
00:18:43,920 --> 00:18:46,320
Speaker 2: Sometimes it was about fentanels, Sometimes it was about I'm

402
00:18:46,320 --> 00:18:49,920
Speaker 2: mad at Brazil over Bolsnaro's treatment, and sometimes the sort

403
00:18:49,920 --> 00:18:52,280
Speaker 2: of you know, if you give them the most charitable reading,

404
00:18:52,320 --> 00:18:55,160
Speaker 2: it was like, we're going to bring back American manufacturing.

405
00:18:55,240 --> 00:18:58,080
Speaker 2: We're going to have these good, you know, middle class

406
00:18:58,160 --> 00:19:00,800
Speaker 2: factory jobs are going to be back in America. Well,

407
00:19:00,800 --> 00:19:05,400
Speaker 2: we've now had our ninth straight month of manufacturing decline.

408
00:19:05,680 --> 00:19:08,240
Speaker 2: So you know, now maybe I mean, I guess you

409
00:19:08,280 --> 00:19:11,000
Speaker 2: could say, oh but over time, but there's just no

410
00:19:11,280 --> 00:19:15,760
Speaker 2: policy put in place that is going to actually rebuild

411
00:19:15,920 --> 00:19:18,719
Speaker 2: or encourage us manufacturing. In fact, the fallen has been

412
00:19:18,720 --> 00:19:21,199
Speaker 2: exactly what we predicted, which is that it's going to

413
00:19:21,240 --> 00:19:23,800
Speaker 2: create a lot more uncertainty and actually create incentives to

414
00:19:24,040 --> 00:19:27,280
Speaker 2: move that manufacturing elsewhere or do layoffs, et cetera. And

415
00:19:27,320 --> 00:19:29,840
Speaker 2: that is what we are seeing. And that's a shame

416
00:19:29,880 --> 00:19:33,320
Speaker 2: because you know, under the Biden administration got all kinds

417
00:19:33,320 --> 00:19:35,280
Speaker 2: of gripes with them, we've named them all here on

418
00:19:35,320 --> 00:19:39,080
Speaker 2: the show. Some of their industrial policy was actually working.

419
00:19:39,200 --> 00:19:42,800
Speaker 2: There was actually an increase in manufacturing activity, the first

420
00:19:42,800 --> 00:19:45,560
Speaker 2: time in the modern era that coming out of a

421
00:19:45,600 --> 00:19:49,560
Speaker 2: recession you actually had more manufacturing jobs created. You know,

422
00:19:49,640 --> 00:19:52,840
Speaker 2: the story of the last thirty forty years has been

423
00:19:52,880 --> 00:19:56,320
Speaker 2: whenever there's a downturn, manufacturing jobs go away and they

424
00:19:56,359 --> 00:19:59,199
Speaker 2: don't come back. So they had through this policy. That's

425
00:19:59,200 --> 00:20:01,920
Speaker 2: why when we say like terriffs can work when they're

426
00:20:01,920 --> 00:20:05,680
Speaker 2: done right, when they're targeted, when they're paired with industrial policy.

427
00:20:05,840 --> 00:20:07,760
Speaker 2: Biden was nibbling around the edges of that and it

428
00:20:07,840 --> 00:20:10,080
Speaker 2: was showing some results. And now all of that has

429
00:20:10,119 --> 00:20:12,520
Speaker 2: been completely wiped away, and we're going in the polar

430
00:20:12,560 --> 00:20:16,840
Speaker 2: opposite direction and betting the entire economy on this AI

431
00:20:17,480 --> 00:20:22,000
Speaker 2: future data center build out and inflating this gigantic bubble

432
00:20:22,160 --> 00:20:23,960
Speaker 2: that is either going to pop and be a disaster

433
00:20:24,080 --> 00:20:26,159
Speaker 2: or come to fruition and also be a disaster. I mean,

434
00:20:26,160 --> 00:20:28,879
Speaker 2: they're trying to rip up the entire social contract again,

435
00:20:29,240 --> 00:20:33,000
Speaker 2: not exactly what was sold on the presidential campaign to people.

436
00:20:33,040 --> 00:20:38,120
Speaker 2: And yet here we are Trump with another pardon this

437
00:20:38,160 --> 00:20:41,640
Speaker 2: one I would say surprising, apparently surprised in Mike Johnson,

438
00:20:42,160 --> 00:20:46,040
Speaker 2: and has direct impact on the Republican majority. This is

439
00:20:46,119 --> 00:20:50,960
Speaker 2: of Representative Henry Quaari represents a increasingly sort of right

440
00:20:51,000 --> 00:20:56,600
Speaker 2: trending South Texas district and I think the most conservative

441
00:20:56,640 --> 00:20:59,760
Speaker 2: Democrat left in the House at this point has been

442
00:20:59,800 --> 00:21:03,600
Speaker 2: more hawkish on things like border security and was indicted

443
00:21:03,680 --> 00:21:08,200
Speaker 2: him and his wife for alleged you know, fraud, money laundering,

444
00:21:08,400 --> 00:21:10,800
Speaker 2: just taking bribes and then doing the bidding of various

445
00:21:10,840 --> 00:21:13,560
Speaker 2: companies and various governments. By the way, let's go and

446
00:21:13,600 --> 00:21:16,439
Speaker 2: take a listen to Trump explaining why he decided to

447
00:21:16,480 --> 00:21:17,159
Speaker 2: pardon Quaar.

448
00:21:17,440 --> 00:21:20,120
Speaker 6: Did you speak with House Republican leadership about your decision

449
00:21:20,160 --> 00:21:21,959
Speaker 6: to part it in Congressman Henry Quaar?

450
00:21:22,000 --> 00:21:25,280
Speaker 1: And are you concerned that you made a vulnerable democrat

451
00:21:25,359 --> 00:21:29,080
Speaker 1: perhaps less vulnerable with that decision? It didn't matter that

452
00:21:29,119 --> 00:21:31,679
Speaker 1: he was. He's a respected person.

453
00:21:32,200 --> 00:21:35,280
Speaker 2: He was treated very badly because he said that people

454
00:21:35,320 --> 00:21:37,119
Speaker 2: should not be allowed to pour into our.

455
00:21:37,000 --> 00:21:39,080
Speaker 5: Country, and he was right.

456
00:21:39,200 --> 00:21:43,919
Speaker 1: What happened is he get indicted for speaking the truth?

457
00:21:44,640 --> 00:21:47,359
Speaker 2: So indicted for speaking the truth? Well, in reality, he

458
00:21:47,440 --> 00:21:52,080
Speaker 2: was indicted because he allegedly funneled over six hundred thousand

459
00:21:52,119 --> 00:21:56,480
Speaker 2: dollars through sham consulting contracts, took money from a state

460
00:21:56,480 --> 00:22:00,400
Speaker 2: owned energy company in Azerbaijan and a Mexican bank in particular,

461
00:22:00,720 --> 00:22:04,119
Speaker 2: and was doing favors and for them in exchange for

462
00:22:04,240 --> 00:22:06,840
Speaker 2: that cash. Those are the allegations he's been indicted. He

463
00:22:06,840 --> 00:22:10,359
Speaker 2: has not been found guilty. This has obviously directed, I mean,

464
00:22:10,400 --> 00:22:13,159
Speaker 2: Trump has just been on this like pardon spree. He

465
00:22:13,200 --> 00:22:16,000
Speaker 2: apparently does not think white collar crime is actually crime.

466
00:22:16,119 --> 00:22:18,159
Speaker 2: We covered earlier in the week some of the other pardons.

467
00:22:18,160 --> 00:22:20,399
Speaker 2: We have some updates on that as well. But it

468
00:22:20,440 --> 00:22:23,399
Speaker 2: also has direct political implications because this is a swing

469
00:22:23,440 --> 00:22:27,119
Speaker 2: district at this point, a difficult one for Democrats to hold.

470
00:22:27,440 --> 00:22:30,800
Speaker 2: Quaar has, you know, strong standing in the district. People

471
00:22:30,840 --> 00:22:33,119
Speaker 2: know him, he's been there a long time, etc. And

472
00:22:33,200 --> 00:22:36,040
Speaker 2: so if you're rescuing him from his legal troubles, it

473
00:22:36,119 --> 00:22:38,480
Speaker 2: makes it more likely that Democrats will be able to

474
00:22:38,520 --> 00:22:40,879
Speaker 2: hold on to this seat. I don't think it's probably

475
00:22:40,880 --> 00:22:43,159
Speaker 2: going to matter anyway, because it looks certainly like a

476
00:22:43,200 --> 00:22:45,760
Speaker 2: midterm wave is building where Democrats are going to take

477
00:22:45,760 --> 00:22:48,440
Speaker 2: control of the House pretty handily and don't necessarily need

478
00:22:48,680 --> 00:22:51,480
Speaker 2: this seat in South Texas. But you know, this is

479
00:22:51,520 --> 00:22:54,680
Speaker 2: not certainly a help to Republicans. On the other hand,

480
00:22:55,040 --> 00:22:56,800
Speaker 2: I guess, as possible he's saying he's still going to

481
00:22:56,840 --> 00:22:59,040
Speaker 2: run as a Democrat. I guess as possibly flips parties.

482
00:22:59,560 --> 00:23:02,720
Speaker 2: He did issue a statement thinking Trump, we can put

483
00:23:02,800 --> 00:23:07,000
Speaker 2: B three up on the screen. With his reaction, he says,

484
00:23:07,119 --> 00:23:09,280
Speaker 2: I want to thank President Trump for his tremendous leadership

485
00:23:09,280 --> 00:23:10,640
Speaker 2: and for taking the time to look at the facts.

486
00:23:10,720 --> 00:23:12,480
Speaker 2: I thank God for standing with my family and I

487
00:23:12,640 --> 00:23:15,160
Speaker 2: during this difficult time. This decision clears the air lets

488
00:23:15,200 --> 00:23:17,320
Speaker 2: us move forward for South Texas's pardon gives us a

489
00:23:17,320 --> 00:23:20,160
Speaker 2: clean slate. Noises gone, work remains. I intend to meet

490
00:23:20,200 --> 00:23:22,720
Speaker 2: it head on. Thank you, mister President. God bless you,

491
00:23:22,840 --> 00:23:26,040
Speaker 2: and God bless the United States of America. King Jefferies,

492
00:23:26,080 --> 00:23:29,840
Speaker 2: we got some bipartisanship here, saga, everybody coming together to

493
00:23:29,920 --> 00:23:34,080
Speaker 2: support the pardoning of this corrupt member of Congress who

494
00:23:34,119 --> 00:23:36,600
Speaker 2: abused his position of power to take cash for him

495
00:23:36,600 --> 00:23:39,760
Speaker 2: and his wife allegedly from foreigners in order to do

496
00:23:39,800 --> 00:23:42,639
Speaker 2: their bidding. Let's put before up on the screen. He says.

497
00:23:42,640 --> 00:23:47,399
Speaker 2: This is exactly Jeffries says, this is exactly the right outcome. Listen,

498
00:23:47,440 --> 00:23:50,600
Speaker 2: the reality is this indictment was very thin to begin with.

499
00:23:50,640 --> 00:23:53,400
Speaker 2: In my view, charges were eventually going to be dismissed,

500
00:23:53,440 --> 00:23:55,199
Speaker 2: if not at the trial court level, then by the

501
00:23:55,200 --> 00:23:59,720
Speaker 2: Supreme Court, as they've repeatedly done in instances just like this.

502
00:24:00,200 --> 00:24:02,560
Speaker 2: Put B five up on the screen as well. We've

503
00:24:02,600 --> 00:24:06,080
Speaker 2: got a list here. We've got twelve members of Congress

504
00:24:06,080 --> 00:24:09,360
Speaker 2: now who've been pardoned by Trump. So you know, if

505
00:24:09,400 --> 00:24:12,040
Speaker 2: you're an elite and you say things, or do things,

506
00:24:12,200 --> 00:24:16,359
Speaker 2: or give cash to the right person, you can do

507
00:24:16,600 --> 00:24:19,560
Speaker 2: insider trading. You can take money from foreign governments, you

508
00:24:19,600 --> 00:24:22,320
Speaker 2: can lie to the FBI, you can obstruct, you can

509
00:24:22,440 --> 00:24:25,000
Speaker 2: you know, if you're George Santos, you could steal identities

510
00:24:25,000 --> 00:24:27,840
Speaker 2: and lie about everything you could possibly imagine. Any of

511
00:24:27,880 --> 00:24:31,680
Speaker 2: this is just thought perfectly fine if you're an elite

512
00:24:31,720 --> 00:24:33,840
Speaker 2: and Trump likes you for some reason. So we have

513
00:24:34,000 --> 00:24:37,720
Speaker 2: twelve members of Congress pardoned or i guess commuted, and

514
00:24:38,400 --> 00:24:42,000
Speaker 2: those ten Republicans and two Democrats. The two Democrats are

515
00:24:42,040 --> 00:24:46,320
Speaker 2: now Quaar and Rod Blagoyevitch blast from the past there

516
00:24:46,359 --> 00:24:49,280
Speaker 2: with that name. So anyway, there you go. Trump just

517
00:24:49,400 --> 00:24:52,639
Speaker 2: letting white collar criminals go at a pace we have

518
00:24:52,880 --> 00:24:56,240
Speaker 2: never seen before. And as we've covered before Zager, certainly

519
00:24:56,280 --> 00:24:59,159
Speaker 2: Trump not the first to abuse the pardon power, but

520
00:24:59,240 --> 00:25:03,360
Speaker 2: the level shamelessness and the sheer scope and scale of

521
00:25:03,359 --> 00:25:05,520
Speaker 2: what he has done is truly without parallel.

522
00:25:05,560 --> 00:25:09,080
Speaker 1: Yeah, he just takes what is usually the quiet part

523
00:25:09,119 --> 00:25:11,719
Speaker 1: and then says it out loud. Sometimes his political strength

524
00:25:12,160 --> 00:25:14,320
Speaker 1: also just erupts it in your face. If you don't

525
00:25:14,359 --> 00:25:17,840
Speaker 1: remember the details, just let's go over them again. Between

526
00:25:17,960 --> 00:25:21,520
Speaker 1: December twenty fourteen November twenty twenty one, Congressman Kuaar and

527
00:25:21,560 --> 00:25:24,600
Speaker 1: his wife allegedly accepted six hundred thousand bribes from two

528
00:25:24,640 --> 00:25:27,199
Speaker 1: foreign entities, in oil and gas company wholly owned by

529
00:25:27,200 --> 00:25:31,000
Speaker 1: the government of Azerbaijan and a bank headquartered in Mexico City.

530
00:25:31,240 --> 00:25:34,720
Speaker 1: The bribe payments were allegedly laundered pursued to sham consulting

531
00:25:34,760 --> 00:25:37,600
Speaker 1: contracts through a series of front companies and milman into

532
00:25:37,600 --> 00:25:40,240
Speaker 1: shells owned by Imelda Quaar, who performed little to know

533
00:25:40,400 --> 00:25:43,200
Speaker 1: legitimate work under the contracts. In exchange for the bribes

534
00:25:43,200 --> 00:25:46,239
Speaker 1: paid by Azerbaijanny Oil and Gas, Quaar agreed to use

535
00:25:46,280 --> 00:25:50,040
Speaker 1: his office to influence US policy in favor of Ozzer Baijan.

536
00:25:50,119 --> 00:25:52,280
Speaker 1: In exchange for the bribes paid by a Mexican bank

537
00:25:52,359 --> 00:25:55,840
Speaker 1: commerce from Quar agreed to influence legislative activity and pressure

538
00:25:55,920 --> 00:25:59,280
Speaker 1: high ranking US executive branch officials regarding measures beneficial to

539
00:25:59,440 --> 00:26:02,760
Speaker 1: the bank. So that's the indictment that was actually leveled

540
00:26:02,760 --> 00:26:05,919
Speaker 1: there against mister Quaar, and there should.

541
00:26:05,680 --> 00:26:09,000
Speaker 2: Be to me, there should be elevated sentencing if you

542
00:26:09,160 --> 00:26:11,400
Speaker 2: are a public official that engages in some.

543
00:26:11,400 --> 00:26:14,359
Speaker 1: Of that is there's like a sentencing guideline. Yeah, it

544
00:26:14,440 --> 00:26:17,120
Speaker 1: comes to abusing your public trust. But we never even

545
00:26:17,160 --> 00:26:19,120
Speaker 1: got to trial like that ultimately.

546
00:26:18,640 --> 00:26:20,879
Speaker 2: The problem, and I mean they are maybe it was

547
00:26:20,920 --> 00:26:22,840
Speaker 2: going to be thrown out by the Supreme Court because

548
00:26:22,880 --> 00:26:25,840
Speaker 2: they have they have basically made it so that corruption

549
00:26:25,920 --> 00:26:29,639
Speaker 2: and bribery is like by and large legal. They've taken

550
00:26:29,760 --> 00:26:34,719
Speaker 2: such a like narrow view of what actually constitutes crimes, uh,

551
00:26:35,000 --> 00:26:37,760
Speaker 2: you know, criminal acts of bribery and corruption. Maybe it

552
00:26:37,800 --> 00:26:40,920
Speaker 2: would have been thrown out, but it's so disgusting that

553
00:26:40,920 --> 00:26:42,879
Speaker 2: these people just get away with this. I mean what

554
00:26:43,040 --> 00:26:46,400
Speaker 2: it's it truly is an attack on our entire system

555
00:26:46,560 --> 00:26:48,800
Speaker 2: and the trust and faith that people put in you.

556
00:26:48,960 --> 00:26:52,120
Speaker 2: It's so grotesque to me. And then for them all

557
00:26:52,160 --> 00:26:54,400
Speaker 2: to be let off the hook on mass like this

558
00:26:54,720 --> 00:26:57,119
Speaker 2: is you know, it's it's it's beyond a slap in

559
00:26:57,119 --> 00:26:58,400
Speaker 2: the face. It's really disgusting.

560
00:26:58,520 --> 00:27:00,960
Speaker 1: Let's go to B six. Let's show everybody the next

561
00:27:01,160 --> 00:27:06,240
Speaker 1: particular one. So we covered this previously, this Ponzi schemer. Well,

562
00:27:06,320 --> 00:27:10,640
Speaker 1: the commutation issued to David Gentile actually wipes away all

563
00:27:10,800 --> 00:27:14,720
Speaker 1: further fines and restitution. He had been sentenced to seven

564
00:27:14,800 --> 00:27:17,680
Speaker 1: years for the one point six billion dollar scheme that

565
00:27:17,720 --> 00:27:21,000
Speaker 1: had defrauded investors, and prosecutors had been seeking some fifteen

566
00:27:21,040 --> 00:27:24,879
Speaker 1: point five million in forfeiture, so he has wiped away

567
00:27:25,200 --> 00:27:26,960
Speaker 1: all of that and so so.

568
00:27:26,920 --> 00:27:29,160
Speaker 2: That's money that was meant to go to the over

569
00:27:29,200 --> 00:27:34,200
Speaker 2: one thousand victims of this man and his Ponzi scheme,

570
00:27:34,640 --> 00:27:38,159
Speaker 2: and now they get nothing. They get nothing. So he

571
00:27:38,320 --> 00:27:41,280
Speaker 2: was able to rob them and you know, through this

572
00:27:41,440 --> 00:27:45,320
Speaker 2: Ponzi scheme bullshit. Found guilty, right, so this is not alleged,

573
00:27:45,440 --> 00:27:49,879
Speaker 2: found guilty, and now the victims get nothing because Trump

574
00:27:49,920 --> 00:27:52,320
Speaker 2: came in and said, oh, I'm good with this guy,

575
00:27:52,480 --> 00:27:55,080
Speaker 2: go free, enjoy your life. Nothing to see here, that's right.

576
00:27:55,160 --> 00:27:59,760
Speaker 1: And actually yesterday he actually commuted or pardoned someone that

577
00:27:59,840 --> 00:28:05,240
Speaker 1: his own DOJ indicted some five months ago. That's my person. Yeah.

578
00:28:05,280 --> 00:28:08,720
Speaker 2: Well, and you know who had prosecuted this case against Gentile.

579
00:28:08,760 --> 00:28:12,280
Speaker 2: I think was that Emil Bove, who was like his guy, Yes,

580
00:28:12,480 --> 00:28:15,320
Speaker 2: and he was, you know, I think justifiably like proud

581
00:28:15,359 --> 00:28:18,120
Speaker 2: of putting this guy behind bars. And now he comes

582
00:28:18,119 --> 00:28:20,600
Speaker 2: in and oh, never minds we think this was you know,

583
00:28:20,640 --> 00:28:23,440
Speaker 2: we don't think this was correct. People were asking, okay,

584
00:28:23,480 --> 00:28:26,679
Speaker 2: why this guy and we still don't really know. You know,

585
00:28:26,800 --> 00:28:29,680
Speaker 2: many of these people who have gotten pardoned, they're sort

586
00:28:29,720 --> 00:28:33,359
Speaker 2: of obvious either, like political or they you know, they

587
00:28:33,400 --> 00:28:35,919
Speaker 2: gave money. We covered one of them who got pardoned

588
00:28:36,000 --> 00:28:38,360
Speaker 2: or had to send us commuted where mom had given

589
00:28:38,440 --> 00:28:41,480
Speaker 2: millions of dollars and raise money. And right after she

590
00:28:41,560 --> 00:28:43,600
Speaker 2: goes this dinner with Trump Wuell and behold the guy

591
00:28:43,600 --> 00:28:45,120
Speaker 2: gets left free. And then I think that was the

592
00:28:45,120 --> 00:28:48,160
Speaker 2: one that immediately started defrauding people again. And by the way,

593
00:28:48,560 --> 00:28:51,080
Speaker 2: a number of the people that Trump has pardoned have

594
00:28:51,280 --> 00:28:55,160
Speaker 2: already gone out and committed other crimes and offenses. So

595
00:28:55,480 --> 00:28:58,720
Speaker 2: you were literally letting criminals loose on the streets, mister

596
00:28:58,800 --> 00:29:01,640
Speaker 2: law and order. Case. People were like, I do you know?

597
00:29:01,680 --> 00:29:06,320
Speaker 2: We didn't. It wasn't immediately clear why this particular fraudster

598
00:29:06,440 --> 00:29:08,480
Speaker 2: got off the hook. He had a partner in crime

599
00:29:08,520 --> 00:29:10,440
Speaker 2: who did not get let off the hook. So it was,

600
00:29:10,520 --> 00:29:13,960
Speaker 2: you know, eyebrow raising, like what exactly is going on here?

601
00:29:14,240 --> 00:29:16,400
Speaker 2: There's one possibility it's been raised with a B seven

602
00:29:16,560 --> 00:29:19,719
Speaker 2: up on the screen. Apparently he had a bunch of

603
00:29:19,880 --> 00:29:23,320
Speaker 2: connections that were sort of like two degrees removed from

604
00:29:23,400 --> 00:29:28,280
Speaker 2: Rudy Giuliani is close with some of the people that

605
00:29:28,360 --> 00:29:31,080
Speaker 2: this guy. David Gentile was close too, So this is

606
00:29:31,160 --> 00:29:33,600
Speaker 2: Jacqueline Sweet did this reporting, She says, Trump commuted the

607
00:29:33,600 --> 00:29:37,240
Speaker 2: prison sentence for financial fraudsters with ties to Russian tycoon

608
00:29:37,280 --> 00:29:41,280
Speaker 2: allegedly linked to organized crime. This Russian tycoon, by the way, guys,

609
00:29:41,360 --> 00:29:45,240
Speaker 2: now lives in Israel and is also very close to

610
00:29:45,640 --> 00:29:48,760
Speaker 2: the entire Israeli government, number of whom were at his

611
00:29:48,840 --> 00:29:51,600
Speaker 2: daughter's wedding, et cetera, et cetera. So I'll just read

612
00:29:51,640 --> 00:29:52,920
Speaker 2: you a little bit of this and you guys can

613
00:29:52,960 --> 00:29:55,440
Speaker 2: make of it what you will. So, she says, Trump

614
00:29:55,520 --> 00:29:59,600
Speaker 2: inexplicably commuted the sentence of a billion dollar Ponzi schemer, scientologist,

615
00:29:59,600 --> 00:30:02,240
Speaker 2: private act wit Zech an accountant from Long Island, just

616
00:30:02,360 --> 00:30:05,160
Speaker 2: days into a seven year sentence, leading to widespread speculation

617
00:30:05,280 --> 00:30:09,280
Speaker 2: about why David Gentile is not just any financial fraudster. However,

618
00:30:09,320 --> 00:30:12,160
Speaker 2: his business history is long intermingled with former Russian oligarch

619
00:30:12,200 --> 00:30:15,520
Speaker 2: Michael Cherney, wanted by Interpol for alleged ties to Russian

620
00:30:15,600 --> 00:30:18,719
Speaker 2: organized crime, and Cherney's family and associates. Records reviewed by

621
00:30:18,720 --> 00:30:21,760
Speaker 2: Disaster Girl reveal Michael Churney has long worked with another

622
00:30:21,840 --> 00:30:25,480
Speaker 2: allegedly Russian mafia link figure, Eric Kisslin, whose uncle Sam

623
00:30:25,600 --> 00:30:28,640
Speaker 2: Kisslin is one of Rudy Giuliani's oldest friends and supporters,

624
00:30:28,640 --> 00:30:31,960
Speaker 2: who once reportedly helped Trump stave off bankruptcy, although it's

625
00:30:32,040 --> 00:30:35,280
Speaker 2: unknown exactly who advocated for Gentiles release. His business ties

626
00:30:35,320 --> 00:30:37,880
Speaker 2: bring him within two degrees of some of Trump's oldest

627
00:30:37,920 --> 00:30:40,800
Speaker 2: backers in the Ukrainian and Russian American business world and

628
00:30:41,200 --> 00:30:44,600
Speaker 2: the highest levels of the Israeli government. So could be

629
00:30:44,960 --> 00:30:47,880
Speaker 2: could be something going on with that that.

630
00:30:47,880 --> 00:30:49,600
Speaker 1: Kind of fits with everything I know about some of

631
00:30:49,600 --> 00:30:52,680
Speaker 1: these peoples. So, for example, the Honduran president, I was

632
00:30:52,760 --> 00:30:56,160
Speaker 1: finally reading into it, the US Roger Stone guy, right, No,

633
00:30:56,160 --> 00:30:59,239
Speaker 1: but it's also Matt Gay, so was Rogerstone. They kind

634
00:30:59,240 --> 00:31:01,560
Speaker 1: of bubble up the case. Then it gets into retwined

635
00:31:01,560 --> 00:31:04,480
Speaker 1: with the elections in the State Department. Starts to see

636
00:31:04,520 --> 00:31:08,240
Speaker 1: it's just like a Byzantine network to basically get up

637
00:31:08,320 --> 00:31:11,840
Speaker 1: to the favor of Trump. I mean, for example, this

638
00:31:12,000 --> 00:31:14,520
Speaker 1: entertainment lawyer who he just published pardoned a couple of

639
00:31:14,560 --> 00:31:17,240
Speaker 1: days ago. It's really crazy, Like this guy was indicted

640
00:31:17,280 --> 00:31:19,640
Speaker 1: by Trump's DOJ five months ago and then he was

641
00:31:19,720 --> 00:31:22,160
Speaker 1: just partnered and nobody really knows why. Like he was

642
00:31:22,160 --> 00:31:25,440
Speaker 1: the CEO of this entertainment group. Quote for orchestrating a

643
00:31:25,440 --> 00:31:28,440
Speaker 1: conspiracy to rig bidding process for an arena at a

644
00:31:28,440 --> 00:31:33,960
Speaker 1: public university in Austin, Texas. Nobody really understands how he

645
00:31:34,000 --> 00:31:37,120
Speaker 1: got to Trump. They do know that he was represented

646
00:31:37,160 --> 00:31:40,479
Speaker 1: by Trey Goudi, So that's kind of the only you know,

647
00:31:40,560 --> 00:31:44,160
Speaker 1: the only like connection really that anybody knows. Trey Goudi

648
00:31:44,280 --> 00:31:47,120
Speaker 1: is the former Republican congressman, the guy who did Benghazi,

649
00:31:47,440 --> 00:31:49,520
Speaker 1: and now he's on Fox News every once in a while.

650
00:31:49,560 --> 00:31:52,080
Speaker 1: Like that seems to basically be the way that this

651
00:31:52,120 --> 00:31:54,480
Speaker 1: all came about. But yeah, I mean, the whole it's

652
00:31:54,520 --> 00:31:56,480
Speaker 1: totally nuts, right, I mean, this is somebody who was

653
00:31:56,520 --> 00:32:00,080
Speaker 1: literally indicted by Trump's own DOJ. So to throw go

654
00:32:00,120 --> 00:32:03,320
Speaker 1: out and say the politicization just seems I mean, it's

655
00:32:03,320 --> 00:32:06,280
Speaker 1: a bit crazy, it's but that's how things are working

656
00:32:06,320 --> 00:32:06,640
Speaker 1: right now.

657
00:32:06,720 --> 00:32:08,880
Speaker 2: Yeah. And then lastly, just to give you a sense

658
00:32:08,920 --> 00:32:13,840
Speaker 2: of the how different this is on a you know,

659
00:32:13,880 --> 00:32:16,640
Speaker 2: in terms of the scale versus what other presidents have done,

660
00:32:16,640 --> 00:32:19,960
Speaker 2: put me eight up on the screen. CNN compiled this data.

661
00:32:20,280 --> 00:32:24,120
Speaker 2: So here's the number of pardons by presidents in recent years.

662
00:32:24,120 --> 00:32:26,960
Speaker 2: So George W. Bush one hundred and eighty nine and

663
00:32:27,000 --> 00:32:30,640
Speaker 2: that was over his two terms. Obama two hundred and twelve,

664
00:32:30,760 --> 00:32:34,720
Speaker 2: also over his two terms. Trump in the first administration

665
00:32:34,880 --> 00:32:37,080
Speaker 2: one hundred and forty four, so sort of in line

666
00:32:37,120 --> 00:32:40,560
Speaker 2: with what others were doing Biden eighty and now Trump

667
00:32:40,680 --> 00:32:46,440
Speaker 2: twenty twenty five, fifteen hundred plus. So you know, I mean,

668
00:32:46,720 --> 00:32:50,880
Speaker 2: this is really kind of I guess typical of Trump

669
00:32:51,080 --> 00:32:55,000
Speaker 2: and especially Trump two point zero, where every president has

670
00:32:55,040 --> 00:32:57,680
Speaker 2: abused this pardon power. It really needs to go away,

671
00:32:57,760 --> 00:32:59,680
Speaker 2: It has to be performed, it needs to go away,

672
00:33:00,120 --> 00:33:01,760
Speaker 2: and should not have the powers of kings. But in

673
00:33:01,760 --> 00:33:05,920
Speaker 2: any case, bipartisan affair to abuse the pardon power. And

674
00:33:06,040 --> 00:33:09,720
Speaker 2: yet somehow Trump takes it and puts it on steroids,

675
00:33:09,720 --> 00:33:11,320
Speaker 2: and it's like, okay, well, we're just going to do

676
00:33:11,400 --> 00:33:14,880
Speaker 2: this to an insane degree. It's going to be brazenly

677
00:33:14,920 --> 00:33:18,960
Speaker 2: obvious the like corrupt ties that these people had to me.

678
00:33:19,440 --> 00:33:21,160
Speaker 2: It's going to be you know, it's just going to

679
00:33:21,200 --> 00:33:24,160
Speaker 2: be in your face and constant so that you can't

680
00:33:24,200 --> 00:33:26,160
Speaker 2: even keep track of all the all.

681
00:33:26,320 --> 00:33:27,560
Speaker 1: Yeah, we didn't even know about.

682
00:33:27,400 --> 00:33:29,440
Speaker 2: The criminals that we're just setting free.

683
00:33:29,600 --> 00:33:32,800
Speaker 1: Yeah, I mean, like this one, he was the sports thing. Again.

684
00:33:33,000 --> 00:33:35,240
Speaker 1: I think it's so extraordinary is these are some people

685
00:33:35,280 --> 00:33:39,600
Speaker 1: in the Anti Trust Division who spearheaded this indictment that

686
00:33:39,640 --> 00:33:42,600
Speaker 1: went through and then somehow through Trey Goudi or whatever,

687
00:33:42,640 --> 00:33:46,120
Speaker 1: you can just get a full pardon from the United States,

688
00:33:46,120 --> 00:33:49,480
Speaker 1: just like outright corruption. It's totally crazy, but yeah, I

689
00:33:49,520 --> 00:33:52,040
Speaker 1: guess that's how the government works right now. Apparently all right,

690
00:33:52,080 --> 00:33:57,200
Speaker 1: let's get to Epstein. Going down to Epstein, some new

691
00:33:57,240 --> 00:34:01,280
Speaker 1: images of Epstein's island villa that were released by the

692
00:34:01,280 --> 00:34:03,440
Speaker 1: House Overside Committee. Let's go and put these up here

693
00:34:03,800 --> 00:34:06,240
Speaker 1: on the screen. Let's just keep this one up here

694
00:34:06,240 --> 00:34:08,480
Speaker 1: for a while. I just want everybody to sit with this.

695
00:34:08,960 --> 00:34:13,160
Speaker 1: It's like a dental chair and weird creepy masks that

696
00:34:13,280 --> 00:34:17,840
Speaker 1: are all around. There are some videos and images of bedroom,

697
00:34:17,920 --> 00:34:18,480
Speaker 1: but I mean.

698
00:34:18,560 --> 00:34:20,040
Speaker 2: It's like faces of old men.

699
00:34:21,440 --> 00:34:27,040
Speaker 1: You know, there's no for that. There's no innocent explanation. Also, yeah,

700
00:34:27,120 --> 00:34:31,600
Speaker 1: Larry Sell. Interesting when Larry is there, in terms of

701
00:34:31,640 --> 00:34:33,920
Speaker 1: his speed dial on his phone, these are some images.

702
00:34:33,920 --> 00:34:36,160
Speaker 1: This is like a bathhouse or it looks like a

703
00:34:36,160 --> 00:34:39,600
Speaker 1: steam room. Maybe not exactly sure. That was being used

704
00:34:39,600 --> 00:34:42,680
Speaker 1: for storage purposes that was on the island. We can

705
00:34:42,719 --> 00:34:44,920
Speaker 1: continue a little bit here in terms of what we

706
00:34:45,000 --> 00:34:48,200
Speaker 1: have from the island itself. Let's go to C two

707
00:34:48,719 --> 00:34:50,640
Speaker 1: just to walk through video walk through. I'd watched a

708
00:34:50,680 --> 00:34:54,040
Speaker 1: little bit of this previously. It's nothing explicitly groundbreaking, but

709
00:34:54,280 --> 00:34:57,279
Speaker 1: I guess really what it comes down to is these

710
00:34:57,360 --> 00:35:00,600
Speaker 1: images and others been released by the households like committee.

711
00:35:00,640 --> 00:35:03,120
Speaker 1: Some of these are inside of these so you know,

712
00:35:03,160 --> 00:35:06,560
Speaker 1: the Epstein files, the Epstein estate, and I really just

713
00:35:06,719 --> 00:35:09,480
Speaker 1: think we should all sit with like the image themselves

714
00:35:09,520 --> 00:35:12,759
Speaker 1: of let's say that that creepy mask stuff that was there.

715
00:35:12,800 --> 00:35:16,040
Speaker 1: You have the famous Bill Clinton painting, you have you know,

716
00:35:16,120 --> 00:35:20,400
Speaker 1: all of the insane, like weird sexual artwork throughout the

717
00:35:20,600 --> 00:35:23,319
Speaker 1: seventy first Street villa. You have cameras, you have the

718
00:35:23,400 --> 00:35:26,120
Speaker 1: design the mansion. Now we have the emails, and we

719
00:35:26,160 --> 00:35:29,279
Speaker 1: have personally read like thousands of the man's emails. Like

720
00:35:29,320 --> 00:35:32,879
Speaker 1: the level of psychotic disposition this guy had in terms

721
00:35:32,920 --> 00:35:37,640
Speaker 1: of his arranging massages and constantly like requesting photos from

722
00:35:37,640 --> 00:35:40,759
Speaker 1: his assistance of girls and just like constantly be like

723
00:35:40,840 --> 00:35:43,160
Speaker 1: she's too fat or something like that. It's gross, right,

724
00:35:43,239 --> 00:35:46,560
Speaker 1: So you put all this stuff together and uh yeah,

725
00:35:46,680 --> 00:35:48,759
Speaker 1: I mean, I don't know, it's just and by the way,

726
00:35:48,840 --> 00:35:50,600
Speaker 1: Like I said, having read through a lot of the

727
00:35:50,600 --> 00:35:55,719
Speaker 1: guy's emails, he micromanaged this estate to away like you

728
00:35:55,760 --> 00:35:59,600
Speaker 1: can barely imagine, Like he was constantly asking for updates

729
00:35:59,600 --> 00:36:01,759
Speaker 1: while the compound and the island was being built, and

730
00:36:01,760 --> 00:36:04,400
Speaker 1: he'd be like rejecting this and rejecting that, and so

731
00:36:04,840 --> 00:36:08,040
Speaker 1: like everything there is his own esthetic design and taste

732
00:36:08,400 --> 00:36:12,239
Speaker 1: as executed by Glene Maxwell, and it's like this empire

733
00:36:12,680 --> 00:36:16,400
Speaker 1: basically like from his own mind that was created. Combined

734
00:36:16,440 --> 00:36:20,360
Speaker 1: with the birthday book, it's just pretty disgusting. Yeah, it's really.

735
00:36:20,760 --> 00:36:22,800
Speaker 1: I mean again, I just I think we all have

736
00:36:22,880 --> 00:36:24,920
Speaker 1: to sit with like eyes wide shut was real, like

737
00:36:25,239 --> 00:36:29,080
Speaker 1: weird masks of old men on the walls. Like there's

738
00:36:29,160 --> 00:36:32,280
Speaker 1: no innocent explanation for that. I'm sorry, there's not, especially

739
00:36:32,280 --> 00:36:34,640
Speaker 1: when you put in the totality of everything else was

740
00:36:34,680 --> 00:36:37,000
Speaker 1: going on, all the houses and the book and the

741
00:36:37,120 --> 00:36:41,240
Speaker 1: emails and the underage girls, Like it's open and shut. Okay.

742
00:36:41,600 --> 00:36:43,880
Speaker 2: There was also another photo that had.

743
00:36:43,680 --> 00:36:45,399
Speaker 1: A blackboard to put that up there.

744
00:36:45,440 --> 00:36:47,799
Speaker 2: You can see, Yeah, there's the blackboard and it's hard

745
00:36:47,840 --> 00:36:54,160
Speaker 2: to read those words, but it says power, truth, music, deception, intellectual, political,

746
00:36:54,239 --> 00:36:58,040
Speaker 2: and then there's presumably names here that are redacted by

747
00:36:58,080 --> 00:37:01,920
Speaker 2: the committee. So you know, who among us doesn't have

748
00:37:02,080 --> 00:37:05,000
Speaker 2: this sort of thing on a blackboard somewhere in our house?

749
00:37:05,080 --> 00:37:07,439
Speaker 2: I guess it's around the corner from the weird old

750
00:37:07,480 --> 00:37:10,360
Speaker 2: guy mask intentist chair room. Yeah, just just normal stuff.

751
00:37:10,520 --> 00:37:15,880
Speaker 1: Really nothing to see it lance deception. Uh yeah.

752
00:37:15,920 --> 00:37:19,400
Speaker 2: And here's the thing is, like, you know, if this

753
00:37:19,600 --> 00:37:21,919
Speaker 2: was just if that's it, that's all we knew about,

754
00:37:22,000 --> 00:37:26,040
Speaker 2: upstand I mean, Okay, he's a little he's a little weird, right, Okay,

755
00:37:26,440 --> 00:37:29,240
Speaker 2: But you know, this is part of a larger portrait

756
00:37:29,400 --> 00:37:32,080
Speaker 2: that we have at this point, based on you know,

757
00:37:32,120 --> 00:37:34,839
Speaker 2: based on the investigations into him, based on what the

758
00:37:35,360 --> 00:37:38,560
Speaker 2: survivors have said, based on the records that have been released,

759
00:37:38,719 --> 00:37:41,239
Speaker 2: based on things like what Donald Trump's that about, how

760
00:37:41,320 --> 00:37:43,400
Speaker 2: much he likes him young, and based on certainly the

761
00:37:43,560 --> 00:37:47,400
Speaker 2: recent email revelations that have been dug into, in particular

762
00:37:47,480 --> 00:37:51,120
Speaker 2: by Ryan Moss and Sager and other journalists out there

763
00:37:51,160 --> 00:37:54,279
Speaker 2: like Jason Leopold. That you know, gives you starting to

764
00:37:54,360 --> 00:37:57,239
Speaker 2: emerge a more complete picture of what's going on here.

765
00:37:57,560 --> 00:37:59,680
Speaker 2: And the other the other thing with this is this

766
00:37:59,680 --> 00:38:04,560
Speaker 2: continent needs to put pressure on the government and basically signal, look,

767
00:38:04,560 --> 00:38:06,719
Speaker 2: we're not gonna this is We're not going to let

768
00:38:06,800 --> 00:38:09,239
Speaker 2: this go. We pass a law. Now you have to

769
00:38:09,360 --> 00:38:12,120
Speaker 2: release what you have. You have thirty days to do that.

770
00:38:12,640 --> 00:38:16,160
Speaker 2: And you know, as you're preparing these files whatever you're

771
00:38:16,160 --> 00:38:19,440
Speaker 2: going to release, we are continuing to get information from

772
00:38:19,520 --> 00:38:22,680
Speaker 2: various subpoenas that we've used our power in Congress in

773
00:38:22,840 --> 00:38:26,760
Speaker 2: order to provide some level of transparency to the American public.

774
00:38:26,920 --> 00:38:29,560
Speaker 1: Yeah, what, let's go and put So the files thing

775
00:38:29,880 --> 00:38:32,120
Speaker 1: is very interesting, you know from the NBC News tearsheet

776
00:38:32,120 --> 00:38:35,520
Speaker 1: about asking for the status update, because remember the law

777
00:38:35,680 --> 00:38:39,400
Speaker 1: requires them to release it within thirty days, and this

778
00:38:39,560 --> 00:38:42,200
Speaker 1: was on November nineteenth that it was enacted, so we

779
00:38:42,280 --> 00:38:44,719
Speaker 1: really only have fifteen more days before this is all

780
00:38:45,000 --> 00:38:47,360
Speaker 1: supposed to come out. They say that the Justice Department

781
00:38:47,440 --> 00:38:52,080
Speaker 1: announced that our investigation quote into numerous figures, including Bill

782
00:38:52,120 --> 00:38:55,400
Speaker 1: Clinton and Larry Summers. In response to that request quote,

783
00:38:55,400 --> 00:38:58,359
Speaker 1: in the interest of transparency and clarity, we request a

784
00:38:58,400 --> 00:39:01,400
Speaker 1: briefing in a classified or class FID setting to discuss

785
00:39:01,400 --> 00:39:04,640
Speaker 1: the full contents of this new information. But no later

786
00:39:04,719 --> 00:39:07,400
Speaker 1: than Friday, December fifth, so that's tomorrow as of the

787
00:39:07,480 --> 00:39:10,719
Speaker 1: day that we're all recording this. The new law, remember, though,

788
00:39:10,800 --> 00:39:14,680
Speaker 1: could be thwarted if they are able to say that

789
00:39:14,760 --> 00:39:19,680
Speaker 1: they can cite an ongoing investigation and reaction and overall,

790
00:39:19,800 --> 00:39:22,320
Speaker 1: like just you know, the process that they've got about

791
00:39:22,520 --> 00:39:24,839
Speaker 1: doing this, which is extremely clunky and it makes it

792
00:39:24,840 --> 00:39:27,000
Speaker 1: seem as if there's a cover up. I also want

793
00:39:27,040 --> 00:39:29,160
Speaker 1: to say, like with the so called Epstein files, like

794
00:39:29,200 --> 00:39:31,560
Speaker 1: everyone needs to be careful, Like even what Ryan and

795
00:39:31,640 --> 00:39:33,960
Speaker 1: I and Ma's like, what we've all gone through, this

796
00:39:34,040 --> 00:39:37,680
Speaker 1: is a tiny fraction of what's in the Epstein estate. Okay,

797
00:39:37,719 --> 00:39:40,920
Speaker 1: that's nothing. We're just looking at emails from one particular

798
00:39:40,960 --> 00:39:43,879
Speaker 1: Gmail and Yahoo account from like five to eight. By

799
00:39:43,880 --> 00:39:46,440
Speaker 1: the way, again, as I reiterated in our segment, the

800
00:39:46,719 --> 00:39:50,360
Speaker 1: five email was created after the Feds or after the

801
00:39:50,640 --> 00:39:52,839
Speaker 1: police started looking into him. So what's in the pre

802
00:39:53,120 --> 00:39:55,480
Speaker 1: five emails? Right, What's what happened to that? And there's

803
00:39:55,480 --> 00:39:57,280
Speaker 1: a lot of them that have been deleted even inside

804
00:39:57,280 --> 00:40:00,359
Speaker 1: of this inbox. And so then what about after you know,

805
00:40:00,400 --> 00:40:03,160
Speaker 1: his conviction is Jillson's right, So there's a lot of

806
00:40:03,239 --> 00:40:04,480
Speaker 1: stuff that still hasn't come out.

807
00:40:04,560 --> 00:40:07,880
Speaker 2: Well, the email you reported on where he's coming up

808
00:40:07,920 --> 00:40:10,960
Speaker 2: with legal strategies and like, you know, drafting this email,

809
00:40:11,320 --> 00:40:15,080
Speaker 2: and he says, I have to assume the FEDS know

810
00:40:15,160 --> 00:40:19,120
Speaker 2: about probably twenty underage girls. Well, guess what would be

811
00:40:19,160 --> 00:40:22,000
Speaker 2: in the government files? What did they actually know? You know,

812
00:40:22,360 --> 00:40:24,680
Speaker 2: how much information did they have at the time when

813
00:40:24,719 --> 00:40:28,479
Speaker 2: they were convinced by you know, Epstein and his legal team,

814
00:40:28,560 --> 00:40:31,200
Speaker 2: including Alan Dershowitz, that like, you know, guys, this is

815
00:40:31,280 --> 00:40:33,759
Speaker 2: really not where they're going to handle at the state level.

816
00:40:33,800 --> 00:40:35,799
Speaker 2: You guys really don't need to worry about this. Like

817
00:40:36,080 --> 00:40:38,720
Speaker 2: how much information did the government have at that time

818
00:40:39,000 --> 00:40:41,520
Speaker 2: when they did kick it to the state level and say, Okay,

819
00:40:41,560 --> 00:40:44,239
Speaker 2: you guys down there, alex Acosta, do your sweetheart deal,

820
00:40:44,400 --> 00:40:48,000
Speaker 2: do your thing. Just as one example of the sort

821
00:40:48,040 --> 00:40:51,360
Speaker 2: of things that would be contained in the government records,

822
00:40:51,520 --> 00:40:54,440
Speaker 2: there's a lot there and we've only gotten a glimpse

823
00:40:54,440 --> 00:40:56,000
Speaker 2: of a tiny, tiny fraction.

824
00:40:56,360 --> 00:40:59,400
Speaker 1: Yes, absolutely correct, And I do want to put C

825
00:40:59,480 --> 00:41:02,080
Speaker 1: four up here on the screen just to reiterate this.

826
00:41:02,080 --> 00:41:05,720
Speaker 1: This is I'm not a financial professional. I have gone

827
00:41:05,760 --> 00:41:08,920
Speaker 1: through a lot of his stuff, like the financial stuff

828
00:41:08,960 --> 00:41:10,840
Speaker 1: inside of the deals. I will say none of it

829
00:41:10,840 --> 00:41:14,000
Speaker 1: seemed all that sophisticated to me, Like you know all

830
00:41:14,040 --> 00:41:17,520
Speaker 1: the claims are about all these sophisticated hedge fund transactions.

831
00:41:17,719 --> 00:41:20,040
Speaker 1: Maybe there's a different email. I'm just saying from what

832
00:41:20,120 --> 00:41:23,040
Speaker 1: I saw, it was very standard, like Hi, Jeffrey, I'm

833
00:41:23,120 --> 00:41:25,399
Speaker 1: raising money for X, Y and Z and I could

834
00:41:25,480 --> 00:41:27,839
Speaker 1: use a few million, or somebody trying to buy some

835
00:41:27,880 --> 00:41:30,640
Speaker 1: shitty movie studio. A lot of it also was like

836
00:41:30,719 --> 00:41:36,719
Speaker 1: directing less Wesner charities, like nothing was very like, nothing explained.

837
00:41:36,840 --> 00:41:39,760
Speaker 1: Becoming a billionaire is really what I'm saying. And that's

838
00:41:39,920 --> 00:41:42,920
Speaker 1: kind of the mystery, right. And so what the Epstein

839
00:41:43,000 --> 00:41:46,520
Speaker 1: survivors have said is that they are supporting this Ron

840
00:41:46,560 --> 00:41:49,720
Speaker 1: Wyden bill which would force Treasury to turn over Epstein

841
00:41:49,800 --> 00:41:51,880
Speaker 1: bank records. And I do want to give credit to

842
00:41:51,960 --> 00:41:54,360
Speaker 1: Ron Wyden because he's actually beating this drum now for

843
00:41:54,400 --> 00:41:57,440
Speaker 1: a while. The banks and the Treasury departments are sitting

844
00:41:57,760 --> 00:42:01,279
Speaker 1: on over a billion dollars of activity reports that they

845
00:42:01,360 --> 00:42:06,040
Speaker 1: updated after Epstein's death. All of those like that is

846
00:42:06,080 --> 00:42:10,279
Speaker 1: the real stuff here, the wire transfers. Because we have

847
00:42:10,320 --> 00:42:13,080
Speaker 1: a very small slice which I've cited before. The New

848
00:42:13,160 --> 00:42:16,600
Speaker 1: York Financial Services Department put out a fine of Deutsche

849
00:42:16,640 --> 00:42:18,600
Speaker 1: Bank years ago at the back in twenty twenty, and

850
00:42:18,640 --> 00:42:20,840
Speaker 1: I did several monologues about it at the time. You

851
00:42:20,880 --> 00:42:24,359
Speaker 1: can go watch, but it details the exact scheme through

852
00:42:24,360 --> 00:42:27,080
Speaker 1: which he was wiring money to the Eastern Europeans. But again,

853
00:42:27,120 --> 00:42:30,040
Speaker 1: this is just one bank, and he had bank accounts

854
00:42:30,080 --> 00:42:32,480
Speaker 1: at JP Morgan Chase, at all of these other like

855
00:42:32,520 --> 00:42:36,320
Speaker 1: high finance institutions where he was moving billions of dollars.

856
00:42:36,400 --> 00:42:40,120
Speaker 1: That's literally one point one billion or so around in

857
00:42:40,239 --> 00:42:43,760
Speaker 1: ways that should have triggered like investigations by the federal government.

858
00:42:43,800 --> 00:42:45,640
Speaker 1: So then you're like, okay, well, why the bank's not

859
00:42:45,719 --> 00:42:48,680
Speaker 1: do anything about that? Like you know, you or I,

860
00:42:48,200 --> 00:42:51,120
Speaker 1: I mean, as anyone. Recently, I had to send a

861
00:42:51,120 --> 00:42:54,040
Speaker 1: wire transfer from our bank account for business purposes. It

862
00:42:54,120 --> 00:42:56,560
Speaker 1: takes forever. Yeah, they're like, are you sure? Are you authored?

863
00:42:56,600 --> 00:43:00,000
Speaker 1: You know, it's like and that's us like a small business.

864
00:43:00,480 --> 00:43:03,000
Speaker 1: You can't just move money around the world. It doesn't

865
00:43:03,040 --> 00:43:03,560
Speaker 1: work like that.

866
00:43:03,719 --> 00:43:06,200
Speaker 2: When I try to ride in an uber in the

867
00:43:06,239 --> 00:43:08,840
Speaker 2: town I haven't been in for a while, frontler.

868
00:43:08,680 --> 00:43:11,720
Speaker 1: Yeah, you're like, froddler, you know what I'm saying, Like exactly,

869
00:43:11,760 --> 00:43:14,080
Speaker 1: like everybody like when you interact with the world and

870
00:43:14,160 --> 00:43:16,719
Speaker 1: the financial system, like I can't send a wire transfer

871
00:43:16,760 --> 00:43:19,040
Speaker 1: without having to call the bank and be like, yes,

872
00:43:19,120 --> 00:43:21,200
Speaker 1: I authorize this purchase and they're like, well, what's the

873
00:43:21,880 --> 00:43:24,560
Speaker 1: have you been contacted by fraud? And this guy just

874
00:43:24,600 --> 00:43:26,960
Speaker 1: gets to wire billions. Now, maybe that's just part of

875
00:43:27,040 --> 00:43:30,360
Speaker 1: the course for billionaires. It probably is, if we're being honest,

876
00:43:30,360 --> 00:43:32,600
Speaker 1: but at the very least, like when you're moving all

877
00:43:32,680 --> 00:43:35,320
Speaker 1: this money through these banks, like they have KYC know

878
00:43:35,400 --> 00:43:38,600
Speaker 1: your customer laws and stuff they have to determine, they're like, well,

879
00:43:38,600 --> 00:43:41,120
Speaker 1: where did this money come from? Is a legitimate purpose?

880
00:43:41,200 --> 00:43:41,279
Speaker 4: Right?

881
00:43:41,360 --> 00:43:45,640
Speaker 1: Are you money laundering? And so they clearly violated in

882
00:43:45,680 --> 00:43:47,919
Speaker 1: many cases because they've been fined for it and they've

883
00:43:47,960 --> 00:43:50,560
Speaker 1: been sued for it. A lot of their own internal guardrails.

884
00:43:50,600 --> 00:43:53,359
Speaker 1: So like that again, I know everybody wants to talk

885
00:43:53,360 --> 00:43:55,239
Speaker 1: about the Black Book, and you know this client list.

886
00:43:55,360 --> 00:43:57,880
Speaker 1: There's no client list any of that. The nextus of

887
00:43:57,920 --> 00:44:00,200
Speaker 1: it all. It's all in the money. That's the whole

888
00:44:00,280 --> 00:44:02,960
Speaker 1: story from the Intel. That's what made him useful, That's

889
00:44:02,960 --> 00:44:06,560
Speaker 1: what made him powerful. Is the money enabled everything else

890
00:44:06,680 --> 00:44:08,879
Speaker 1: get access to that. And that's when I think you're

891
00:44:08,880 --> 00:44:10,760
Speaker 1: actually gonna you'll take down some real people.

892
00:44:10,880 --> 00:44:13,120
Speaker 2: Well and we may we may get some progress on

893
00:44:13,160 --> 00:44:15,480
Speaker 2: that just in the coming days. So in addition to

894
00:44:15,600 --> 00:44:20,200
Speaker 2: these photos and videos, Robert Garcia, who's the Democratic the

895
00:44:20,239 --> 00:44:22,400
Speaker 2: ranking member on the Oversight Committee, says they're going to

896
00:44:22,400 --> 00:44:26,440
Speaker 2: be releasing financial more financial records in the days ahead,

897
00:44:26,680 --> 00:44:30,320
Speaker 2: So we could be getting some more information there today, tomorrow,

898
00:44:30,640 --> 00:44:33,239
Speaker 2: over the coming week. So that is something too to

899
00:44:33,320 --> 00:44:35,680
Speaker 2: keep an eye on. And again, I think it's important

900
00:44:35,680 --> 00:44:39,520
Speaker 2: to keep the pressure on. Listen, none of us, you know,

901
00:44:39,560 --> 00:44:42,040
Speaker 2: we're not Pollyanna here. We're not actually expecting the government

902
00:44:42,040 --> 00:44:45,120
Speaker 2: to completely come clean and release everything. But and we

903
00:44:45,200 --> 00:44:47,360
Speaker 2: know that they've spent lots of time and close to

904
00:44:47,360 --> 00:44:49,759
Speaker 2: a million dollars taxpayer dollars going through these things to

905
00:44:49,800 --> 00:44:52,319
Speaker 2: redact them and scrub them. I mean, I don't think

906
00:44:52,360 --> 00:44:54,440
Speaker 2: anyone expects them to release anything that's going to be

907
00:44:54,480 --> 00:44:57,279
Speaker 2: incriminating to the President of the United States because they

908
00:44:57,640 --> 00:44:59,239
Speaker 2: you know, they'll be out of a job if they

909
00:44:59,440 --> 00:45:03,880
Speaker 2: do so. But still like whatever comes out, whatever additional

910
00:45:03,880 --> 00:45:06,279
Speaker 2: pieces of the puzzle, if they're not about Trump and

911
00:45:06,320 --> 00:45:09,000
Speaker 2: they're about other people other that's you know, it's a

912
00:45:09,040 --> 00:45:13,480
Speaker 2: step forward. And so every time the House Oversight Committee

913
00:45:13,520 --> 00:45:17,120
Speaker 2: releases more tranches of documents. It keeps the story alive,

914
00:45:17,320 --> 00:45:19,640
Speaker 2: It keeps the pressure on, and it keeps the public

915
00:45:19,680 --> 00:45:22,200
Speaker 2: focused on putting pressure on the government to follow the

916
00:45:22,320 --> 00:45:25,240
Speaker 2: law that has now been passed by Congress and signed

917
00:45:25,280 --> 00:45:26,560
Speaker 2: into law by the president.

918
00:45:27,360 --> 00:45:29,839
Speaker 1: Exactly right. And yeah, everyone's like, oh, why do they

919
00:45:29,880 --> 00:45:32,719
Speaker 1: release this? Doesn't show anything new? I don't know. More

920
00:45:32,800 --> 00:45:35,759
Speaker 1: the better, Okay, the more you keep it alive, the

921
00:45:35,760 --> 00:45:37,919
Speaker 1: more that people take an interest in this. That's one

922
00:45:37,920 --> 00:45:40,040
Speaker 1: thing I have been very heartened by is that even

923
00:45:40,120 --> 00:45:42,520
Speaker 1: though Trump and Mega and all of them want to

924
00:45:42,520 --> 00:45:44,200
Speaker 1: move on, you know, we came, many of us came

925
00:45:44,239 --> 00:45:46,360
Speaker 1: to this long before Trump was ever in the picture.

926
00:45:46,400 --> 00:45:47,320
Speaker 1: It was never about.

927
00:45:47,080 --> 00:45:49,759
Speaker 2: Trump with long Democrats, Yeah, long before on it.

928
00:45:49,840 --> 00:45:51,480
Speaker 1: Yeah, by the way, you're the whole time when the

929
00:45:51,560 --> 00:45:54,759
Speaker 1: Dems were all like, it's a conspiracy. It is anti

930
00:45:54,760 --> 00:45:57,480
Speaker 1: semitic to say it was connected to never cared then

931
00:45:57,719 --> 00:46:01,200
Speaker 1: didn't care. Now we're just going to keep on keeping on.

932
00:46:01,360 --> 00:46:03,520
Speaker 1: And there, by the way, shout out to Pablo Torrea,

933
00:46:03,520 --> 00:46:05,400
Speaker 1: our friend. He's been doing some sports angles in the

934
00:46:05,440 --> 00:46:07,520
Speaker 1: Epstein story. Just oh really, yeah, he just did a

935
00:46:08,120 --> 00:46:09,600
Speaker 1: he just did a segment on it yesterday. It was

936
00:46:09,600 --> 00:46:13,080
Speaker 1: fascinating actually, and so he will. Actually I've been speaking

937
00:46:13,080 --> 00:46:14,960
Speaker 1: to him a little bit. He should have more stories

938
00:46:15,400 --> 00:46:18,520
Speaker 1: potentially soon on the sports angle. And so this is

939
00:46:18,560 --> 00:46:20,919
Speaker 1: the fun part is like, as this you know, goes out,

940
00:46:21,080 --> 00:46:24,120
Speaker 1: people with different niche areas can look into their own

941
00:46:24,560 --> 00:46:27,879
Speaker 1: like spheres of influence. Hollywood, for example, I pointed out,

942
00:46:28,320 --> 00:46:30,959
Speaker 1: this isn't my area of expertise, but I'm reading through

943
00:46:30,960 --> 00:46:33,600
Speaker 1: and I'm like, yo, Epstein's getting all these invites, all

944
00:46:33,600 --> 00:46:37,680
Speaker 1: these Hollywood premieres like Michael Clayton and the Sopranos and

945
00:46:37,920 --> 00:46:40,080
Speaker 1: all this stuff. I'm not a variety reporter, but some

946
00:46:40,200 --> 00:46:42,080
Speaker 1: Hollywood person should probably go dig into that.

947
00:46:42,160 --> 00:46:42,399
Speaker 2: Yeah.

948
00:46:42,480 --> 00:46:45,520
Speaker 1: So I'm just looking at Israel and Israel intelligence and

949
00:46:45,840 --> 00:46:50,040
Speaker 1: the actual case. Yeah, whoever that person is. Yeah, although

950
00:46:50,080 --> 00:46:51,839
Speaker 1: I think I feel like Hollywood media is probably more

951
00:46:51,840 --> 00:46:53,000
Speaker 1: compromise than anybody else.

952
00:46:53,120 --> 00:46:54,800
Speaker 2: That just my opinion, very possible.

953
00:46:54,840 --> 00:46:56,279
Speaker 1: Okay, let's get to twenty twenty six.

954
00:46:58,960 --> 00:47:02,239
Speaker 2: So some interesting numbers here from CNN and Harry Enton

955
00:47:02,480 --> 00:47:05,120
Speaker 2: talking about how it looks very much like a massive

956
00:47:05,239 --> 00:47:08,120
Speaker 2: blue wave is coming and based in part on the

957
00:47:08,160 --> 00:47:10,839
Speaker 2: election results from this week in Tennessee. Let's go ahead

958
00:47:10,840 --> 00:47:11,480
Speaker 2: and take listen to that.

959
00:47:12,080 --> 00:47:15,640
Speaker 6: Republicans should be running for the hills this morning because

960
00:47:15,680 --> 00:47:19,040
Speaker 6: the blue wave is building. My dear friend, mister Berman,

961
00:47:19,360 --> 00:47:22,560
Speaker 6: what are we talking about here, Well, Matt Vanips, the

962
00:47:22,560 --> 00:47:25,759
Speaker 6: Republican candidate, he won it by nine. But this is

963
00:47:25,800 --> 00:47:28,320
Speaker 6: a district that Donald Trump won by twenty two points,

964
00:47:28,440 --> 00:47:33,200
Speaker 6: fifteen points, seventeen points. This is a thirteen point gain

965
00:47:33,560 --> 00:47:36,560
Speaker 6: for the Democrats in terms of the margin. And excuse

966
00:47:36,640 --> 00:47:40,160
Speaker 6: time for Republicans is ova because I hear all about

967
00:47:40,200 --> 00:47:43,400
Speaker 6: these special elections. Ah, the turnout so low, it's not

968
00:47:43,480 --> 00:47:46,520
Speaker 6: representative of what happened in the midterm election. The turnout

969
00:47:46,600 --> 00:47:50,279
Speaker 6: last night in Tennessee's seventh district was equal to the

970
00:47:50,320 --> 00:47:54,000
Speaker 6: turnout in the twenty twenty two midterm election. I love

971
00:47:54,040 --> 00:47:56,839
Speaker 6: the people in Central Tennessee, but Central Tennessee is nothing

972
00:47:56,840 --> 00:47:58,400
Speaker 6: special compared to the rest of the country.

973
00:47:58,520 --> 00:48:00,920
Speaker 1: But what we see happening is take.

974
00:48:00,800 --> 00:48:04,440
Speaker 6: A look here. Okay, twenty twenty five US House special elections.

975
00:48:04,680 --> 00:48:07,959
Speaker 6: DEM's out running Kamala Harris. A lot of blue here,

976
00:48:08,320 --> 00:48:09,759
Speaker 6: a lot of blue, which is what I think the

977
00:48:09,840 --> 00:48:11,759
Speaker 6: nation might look like a year from now if these

978
00:48:11,800 --> 00:48:15,600
Speaker 6: results told Arizona seven can see a seventeen outperformance of

979
00:48:15,640 --> 00:48:18,680
Speaker 6: Kamala Harris twenty three points in Florida one, sixteen points

980
00:48:18,680 --> 00:48:21,799
Speaker 6: in Florida, six, thirteen points in Tennessee seven, twenty eight

981
00:48:21,840 --> 00:48:24,799
Speaker 6: points in Texas twenty eight and then seventeen points in

982
00:48:24,960 --> 00:48:28,319
Speaker 6: Virginia eleven. So we've seen it throughout the nation, whether

983
00:48:28,320 --> 00:48:30,759
Speaker 6: you go from the suburbs of Washington, d C. All

984
00:48:30,800 --> 00:48:34,440
Speaker 6: the way to southwest to the southwest in Arizona, whether

985
00:48:34,480 --> 00:48:37,719
Speaker 6: you're looking at Texas, whether you're looking at Tennessee, whether

986
00:48:37,800 --> 00:48:40,840
Speaker 6: you go down to Florida, we have seen the Democratic

987
00:48:40,960 --> 00:48:44,280
Speaker 6: outperformance off Kamala Harris happening.

988
00:48:43,960 --> 00:48:46,160
Speaker 3: Across the political map.

989
00:48:46,239 --> 00:48:49,600
Speaker 6: We actually have history to show that what happens in

990
00:48:49,640 --> 00:48:53,720
Speaker 6: special elections doesn't just stay in special elections. It spills

991
00:48:53,760 --> 00:48:56,520
Speaker 6: over to the midterm resot special elections, in midtermersotes. I

992
00:48:56,600 --> 00:48:58,640
Speaker 6: just keep going to this. When a party out performed

993
00:48:58,640 --> 00:49:01,600
Speaker 6: in special elections since two thousan five out of five

994
00:49:01,680 --> 00:49:03,800
Speaker 6: times they went on to win a majority in the

995
00:49:03,920 --> 00:49:05,480
Speaker 6: US House of Representatives.

996
00:49:05,680 --> 00:49:07,799
Speaker 2: So pretty interesting to see those numbers there. Let's put

997
00:49:07,800 --> 00:49:09,839
Speaker 2: the next element up on the screen. You can see

998
00:49:09,840 --> 00:49:12,560
Speaker 2: some aggregate in comparisons to prior years. So this has

999
00:49:12,600 --> 00:49:15,960
Speaker 2: overperformance and special elections. You've got seventeen and eighteen Democrats

1000
00:49:15,960 --> 00:49:19,799
Speaker 2: plus six, nineteen and twenty Democrats plus two, twenty one

1001
00:49:19,840 --> 00:49:23,399
Speaker 2: and twenty two Republicans plus four, twenty three, twenty four

1002
00:49:23,400 --> 00:49:27,640
Speaker 2: Democrats plus two this time so far far Democrats of

1003
00:49:27,680 --> 00:49:28,960
Speaker 2: plus eleven.

1004
00:49:29,200 --> 00:49:31,560
Speaker 1: I'd like to see the pre Tea party numbers. I

1005
00:49:31,600 --> 00:49:35,040
Speaker 1: bet you was similar, right somewhere around nine. Yeah, I

1006
00:49:35,040 --> 00:49:36,719
Speaker 1: think back to that time it was very similar to

1007
00:49:36,760 --> 00:49:37,440
Speaker 1: the plus eleven.

1008
00:49:37,600 --> 00:49:40,279
Speaker 2: Yeah, that would be interesting to see. But I think

1009
00:49:41,280 --> 00:49:44,480
Speaker 2: Entine points out what is the most sort of critical

1010
00:49:44,520 --> 00:49:48,120
Speaker 2: component of the Tennessee results, which is, you know, the

1011
00:49:48,480 --> 00:49:51,520
Speaker 2: cope from Republicans these special elections. You know, you've got

1012
00:49:51,560 --> 00:49:54,719
Speaker 2: your Democrats have these high propensality voters. Now, it's not emblematic.

1013
00:49:54,800 --> 00:49:56,760
Speaker 2: It's going to be different when we come to the midterms.

1014
00:49:56,800 --> 00:49:59,960
Speaker 2: And no it's not a presidential year, but midterm turnout

1015
00:50:00,120 --> 00:50:02,120
Speaker 2: is going to be a lot higher. Well, the turnout

1016
00:50:02,160 --> 00:50:05,520
Speaker 2: in Tennessee was really high, and still they moved the

1017
00:50:05,520 --> 00:50:10,000
Speaker 2: margin by thirteen points. If you managed to do that

1018
00:50:10,160 --> 00:50:12,640
Speaker 2: across the country, I mean, it's a blood bat that,

1019
00:50:12,840 --> 00:50:15,200
Speaker 2: you know, is I think beyond even what we saw

1020
00:50:15,239 --> 00:50:18,880
Speaker 2: in the twenty ten. You know, tea party wave election.

1021
00:50:19,440 --> 00:50:23,080
Speaker 2: If you truly had that result across the country, it

1022
00:50:23,120 --> 00:50:27,480
Speaker 2: would be an extraordinary political reckoning. Now, can they pull

1023
00:50:27,520 --> 00:50:30,840
Speaker 2: off thirteen points? That's very tall order. But that's the

1024
00:50:30,880 --> 00:50:34,280
Speaker 2: reason why Republicans should be freaking out here is because

1025
00:50:34,320 --> 00:50:37,000
Speaker 2: you didn't have you know, some sort of like Republicans

1026
00:50:37,040 --> 00:50:39,200
Speaker 2: aren't paying attention and only the Demo, like the white

1027
00:50:39,400 --> 00:50:43,840
Speaker 2: college educated liberals showed up. No, this was a high turnout,

1028
00:50:43,960 --> 00:50:49,160
Speaker 2: mid term level turnout election. You had a literal socialist

1029
00:50:49,280 --> 00:50:52,879
Speaker 2: as the Democrat, by the way, and you still had

1030
00:50:52,920 --> 00:50:57,200
Speaker 2: a thirteen point shift towards the Democrats. I mean that

1031
00:50:57,280 --> 00:50:58,279
Speaker 2: really is a red alarm.

1032
00:50:58,360 --> 00:51:00,160
Speaker 1: Yeah, it totally is an alarm. And the reason and

1033
00:51:00,160 --> 00:51:03,480
Speaker 1: why is that, as you said, with that sample is

1034
00:51:03,520 --> 00:51:06,280
Speaker 1: if it was low turnout, you can cope yourself away.

1035
00:51:06,320 --> 00:51:10,319
Speaker 1: But also though even with midterm level turnout, if the

1036
00:51:10,360 --> 00:51:13,759
Speaker 1: midterm turnout is going to be still so heavily democratic

1037
00:51:13,840 --> 00:51:17,240
Speaker 1: and indicate some swing, that's a big problem. Now, obviously

1038
00:51:17,320 --> 00:51:19,920
Speaker 1: it is Tennessee and it is a single election, but

1039
00:51:19,960 --> 00:51:24,760
Speaker 1: these are pre These are basically midterms always are about enthusiasm.

1040
00:51:24,800 --> 00:51:27,359
Speaker 1: When it comes to voters. Most people don't. At least

1041
00:51:27,360 --> 00:51:29,560
Speaker 1: a lot of voters don't pay as much attention to

1042
00:51:29,600 --> 00:51:33,040
Speaker 1: the midterms, and it's usually an opposition party. Now, let's

1043
00:51:33,040 --> 00:51:37,960
Speaker 1: give the caveat cases Glenn Youngkin wins in Virginia. Right,

1044
00:51:38,680 --> 00:51:44,280
Speaker 1: there's a clear view of a red wave that's coming.

1045
00:51:44,719 --> 00:51:47,160
Speaker 1: Then Row versus Wight happens and it changes everything. So

1046
00:51:47,239 --> 00:51:49,520
Speaker 1: like a lot could still change. It's a whole year, right,

1047
00:51:49,640 --> 00:51:51,920
Speaker 1: I mean, have no idea. It could be a major

1048
00:51:51,960 --> 00:51:55,759
Speaker 1: international incident. There could be a war in Venezuela, so

1049
00:51:55,880 --> 00:51:58,480
Speaker 1: things could potentially go even more south, or maybe he

1050
00:51:58,520 --> 00:52:01,839
Speaker 1: would ride some commander in chief wave. Nobody knows, all right,

1051
00:52:01,880 --> 00:52:03,799
Speaker 1: but a lot of shit can happen in the next

1052
00:52:04,080 --> 00:52:07,760
Speaker 1: eleven months. But as things stand right now, where things

1053
00:52:07,800 --> 00:52:09,719
Speaker 1: also I think are trending, we can only live in

1054
00:52:09,760 --> 00:52:11,879
Speaker 1: the moment that we are right now. It doesn't look

1055
00:52:12,000 --> 00:52:14,960
Speaker 1: particularly promising. And I also think there will be a

1056
00:52:15,040 --> 00:52:19,680
Speaker 1: lot of accountability at the Republican level for everybody but Trump.

1057
00:52:19,680 --> 00:52:22,840
Speaker 1: No Republican can admit that it's Trump's fault. But already

1058
00:52:22,840 --> 00:52:25,480
Speaker 1: the knife fighting, like we're about to show with Stephanic, Yeah,

1059
00:52:25,640 --> 00:52:29,320
Speaker 1: people already know, like they like everybody knows and Mike Johnson,

1060
00:52:29,600 --> 00:52:30,680
Speaker 1: he's not long for this world.

1061
00:52:30,800 --> 00:52:32,759
Speaker 2: Yeah, well, but D three up on the screen. So

1062
00:52:32,760 --> 00:52:35,600
Speaker 2: at least Defonic has taken the knives out pretty aggressively

1063
00:52:35,719 --> 00:52:38,400
Speaker 2: against Mike Johnson. Now she is running, she's you know,

1064
00:52:38,440 --> 00:52:41,680
Speaker 2: New York representer, she's running for governor. She is down

1065
00:52:41,800 --> 00:52:45,200
Speaker 2: like an extraordinarily large amount in the polls. And Trump

1066
00:52:45,280 --> 00:52:47,960
Speaker 2: really screwed her over by embracing Zoron and you know,

1067
00:52:48,040 --> 00:52:50,080
Speaker 2: taking any sort of heat out of the case she

1068
00:52:50,239 --> 00:52:52,879
Speaker 2: was making against Hochel being close to Zoron and trying

1069
00:52:52,880 --> 00:52:54,680
Speaker 2: to trying to make something of that. Not that I

1070
00:52:54,680 --> 00:52:56,600
Speaker 2: thought that was that great of an attack to begin with,

1071
00:52:56,840 --> 00:52:58,400
Speaker 2: but she was really betting a lot on that, and

1072
00:52:58,400 --> 00:53:00,959
Speaker 2: that was sort of undercut by Trump. Anyway, It says

1073
00:53:00,960 --> 00:53:05,040
Speaker 2: here Trump ally elis Staphonic attacks Speaker Johnson's leadership. She

1074
00:53:05,160 --> 00:53:08,759
Speaker 2: called him an ineffector leader who is losing control over

1075
00:53:08,800 --> 00:53:11,759
Speaker 2: the GEOP conference headed into the midterm elections. Quote, he

1076
00:53:11,920 --> 00:53:14,719
Speaker 2: certainly would not have the votes to be Speaker if

1077
00:53:14,760 --> 00:53:17,799
Speaker 2: there was a role call vote tomorrow, the New York

1078
00:53:17,880 --> 00:53:20,280
Speaker 2: lawmaker said in an interview with The Wall Street Journal,

1079
00:53:20,680 --> 00:53:24,160
Speaker 2: I believe the majority of Republicans would vote for new leadership.

1080
00:53:24,200 --> 00:53:27,560
Speaker 2: It is that wide spread, and your read of it, Zaga,

1081
00:53:27,600 --> 00:53:30,279
Speaker 2: is exactly my read of it. She can see things

1082
00:53:30,360 --> 00:53:33,920
Speaker 2: are going south, they're going sideways. She wants to separate

1083
00:53:33,960 --> 00:53:37,520
Speaker 2: herself from the Republican Party and say, I'm not like them,

1084
00:53:37,719 --> 00:53:40,160
Speaker 2: I'm critical of them, I have my own way that

1085
00:53:40,200 --> 00:53:42,360
Speaker 2: I would do things. I'm not like these people that

1086
00:53:42,440 --> 00:53:45,000
Speaker 2: you hate right now. But she can't point the finger

1087
00:53:45,040 --> 00:53:47,279
Speaker 2: at Trump. Who's the one who's really to blame. I mean,

1088
00:53:47,320 --> 00:53:49,720
Speaker 2: is that Mike Johnson is nothing more than Trump's puppet,

1089
00:53:49,760 --> 00:53:52,759
Speaker 2: like he's sort of irrelevant to the whole equation. But

1090
00:53:52,840 --> 00:53:55,080
Speaker 2: so she decides that the person that it's safe for

1091
00:53:55,120 --> 00:53:58,000
Speaker 2: her to go after is Speaker Mike Johnson. And I

1092
00:53:58,000 --> 00:54:00,440
Speaker 2: think you will see other people certainly following in her

1093
00:54:00,480 --> 00:54:03,400
Speaker 2: footsteps and pulling out the knives from Mike Johnson because

1094
00:54:03,440 --> 00:54:05,239
Speaker 2: it's a similar way. I mean, you see this, saw

1095
00:54:05,280 --> 00:54:07,879
Speaker 2: this thinking back to twenty ten with Democrats when things

1096
00:54:07,880 --> 00:54:09,719
Speaker 2: were going well. They're like, okay, let me go after

1097
00:54:09,760 --> 00:54:12,560
Speaker 2: Pelosi because that will signal that I'm not like the

1098
00:54:12,600 --> 00:54:15,360
Speaker 2: rest of this Democratic Party that you hate. I'm different

1099
00:54:15,360 --> 00:54:17,880
Speaker 2: from them. But and they also went after Obama too

1100
00:54:17,880 --> 00:54:20,839
Speaker 2: at certain times as well. But Trump has this you know, stronghold.

1101
00:54:21,040 --> 00:54:23,759
Speaker 2: He's very you know, the retribution from him. You don't

1102
00:54:23,800 --> 00:54:26,080
Speaker 2: want to be on his bad side. You don't want

1103
00:54:26,160 --> 00:54:28,920
Speaker 2: him coming in and messaging against you, et cetera, or

1104
00:54:28,960 --> 00:54:31,560
Speaker 2: screwing you over in your you know, whatever you're trying

1105
00:54:31,600 --> 00:54:34,480
Speaker 2: to do in your state. So that's the place where

1106
00:54:34,480 --> 00:54:35,480
Speaker 2: she's trained her fire.

1107
00:54:35,560 --> 00:54:38,440
Speaker 1: And what it will mean is that the race, the

1108
00:54:38,560 --> 00:54:41,960
Speaker 1: race for Republican leader will be fascinating. Like if they

1109
00:54:42,200 --> 00:54:44,640
Speaker 1: wouldn't want, well, yeah, first of all, who would want

1110
00:54:44,680 --> 00:54:46,759
Speaker 1: I think Steve Scalice would probably get it because it's

1111
00:54:46,800 --> 00:54:49,719
Speaker 1: already the number two. Trump likes him, he's you know,

1112
00:54:49,920 --> 00:54:52,120
Speaker 1: I mean, he's a little bit different from Mike Johnson,

1113
00:54:52,160 --> 00:54:54,719
Speaker 1: but not all that. But I mean, there should be

1114
00:54:55,000 --> 00:54:58,080
Speaker 1: enough holdouts some people could credibly say like, hey, you

1115
00:54:58,120 --> 00:55:00,480
Speaker 1: guys were a disaster, like you were really bad at

1116
00:55:00,520 --> 00:55:02,879
Speaker 1: your jobs, Like why would we reward you? And there's

1117
00:55:03,120 --> 00:55:06,239
Speaker 1: enough shit stirs that somebody might actually do something about it.

1118
00:55:06,280 --> 00:55:08,960
Speaker 1: I really don't know actually what's going to happen. But

1119
00:55:09,360 --> 00:55:13,279
Speaker 1: the point I think that stands really with Stephanic and

1120
00:55:13,360 --> 00:55:16,680
Speaker 1: the attack is that this is a preemptive ability to

1121
00:55:16,880 --> 00:55:22,799
Speaker 1: distance yourself from very unpopular Republican Congress and in some ways, like, look, fundamentally, yeah,

1122
00:55:22,840 --> 00:55:25,200
Speaker 1: they should attack Trump, but they're not wrong. Like the

1123
00:55:25,239 --> 00:55:28,040
Speaker 1: healthcare thing is a huge problem. It's not even just

1124
00:55:28,080 --> 00:55:30,680
Speaker 1: people like me saying it's Steve Bannon. I was just

1125
00:55:30,719 --> 00:55:33,040
Speaker 1: reading this morning, Matt Boyle, like the bright Bart guys.

1126
00:55:33,040 --> 00:55:35,360
Speaker 1: They're like, yo, we need to do something before December

1127
00:55:35,760 --> 00:55:38,239
Speaker 1: is over and these premiums are locked. I mean, we

1128
00:55:38,360 --> 00:55:43,880
Speaker 1: have what twenty something days, most of that's holiday. Everybody

1129
00:55:43,880 --> 00:55:46,520
Speaker 1: knows the House of Representatives. By January one, we're all

1130
00:55:46,560 --> 00:55:49,160
Speaker 1: in it, like we're in it together. Premiums go up,

1131
00:55:49,480 --> 00:55:53,800
Speaker 1: and that's it. Like that is enough. That's seven million

1132
00:55:53,920 --> 00:55:57,560
Speaker 1: people just on Obamacare. So yeah, that's not that many people,

1133
00:55:57,600 --> 00:56:01,399
Speaker 1: but compounded to the private market with overall twenty five

1134
00:56:01,440 --> 00:56:03,719
Speaker 1: percent increase. By the way, that's the other funny thing

1135
00:56:03,760 --> 00:56:06,680
Speaker 1: about our byzantine health insurance system. How many people even

1136
00:56:06,760 --> 00:56:09,759
Speaker 1: know whether their insurance is connected to Obamacare or not.

1137
00:56:10,040 --> 00:56:12,319
Speaker 1: If it goes up because of the headlines, they're going

1138
00:56:12,360 --> 00:56:14,880
Speaker 1: to be like, this is Trump's faultwer right, yeah, exactly,

1139
00:56:15,160 --> 00:56:18,360
Speaker 1: Like regardless of whether it's employer sponsored or not. Because

1140
00:56:18,360 --> 00:56:20,320
Speaker 1: of the health of the cycle. They're just going to

1141
00:56:20,360 --> 00:56:22,160
Speaker 1: blame the administration. It's kind of.

1142
00:56:22,080 --> 00:56:24,040
Speaker 2: Fair, though, I mean, you know, they we had a

1143
00:56:24,080 --> 00:56:26,839
Speaker 2: whole shutdown fight over this. They refused to cave. Trump said,

1144
00:56:26,880 --> 00:56:28,839
Speaker 2: remember when he was oh, we were on the verge

1145
00:56:28,880 --> 00:56:32,239
Speaker 2: of announcing some healthcare plan. From what happened with that,

1146
00:56:32,239 --> 00:56:34,960
Speaker 2: that's just gone. We're not talking about that anymore. So

1147
00:56:35,120 --> 00:56:37,279
Speaker 2: it does I mean, that's fair to blame him for

1148
00:56:37,360 --> 00:56:39,960
Speaker 2: these specific increases that are coming because do.

1149
00:56:40,800 --> 00:56:42,840
Speaker 1: Sign to stop it. Yeah, I'm just saying, like in

1150
00:56:42,920 --> 00:56:45,640
Speaker 1: terms of the point though, is just yes, shit you

1151
00:56:45,680 --> 00:56:48,759
Speaker 1: know goes uphill whenever you're the president, and you are

1152
00:56:48,800 --> 00:56:52,440
Speaker 1: going to suffer the consequence. So nothing right now looks

1153
00:56:52,560 --> 00:56:56,160
Speaker 1: all that good. I do want to say. Representative Nancy

1154
00:56:56,200 --> 00:56:58,960
Speaker 1: Mace has put D five on the screen. Here is

1155
00:56:59,080 --> 00:57:02,560
Speaker 1: considering quote. This is from the New York Times. Nancy

1156
00:57:02,600 --> 00:57:05,360
Speaker 1: Mace has told people she is so frustrated with the

1157
00:57:05,400 --> 00:57:08,239
Speaker 1: Louisiana Republican and sick of the way he's run the House,

1158
00:57:08,280 --> 00:57:11,320
Speaker 1: particularly how women are treated there, that she is planning

1159
00:57:11,320 --> 00:57:14,279
Speaker 1: to huddle with MTG next week to discuss following her

1160
00:57:14,320 --> 00:57:17,880
Speaker 1: lead and retiring early from Congress. And so it could

1161
00:57:17,960 --> 00:57:22,200
Speaker 1: mean another early retirement there for the GOP, even further

1162
00:57:22,440 --> 00:57:26,000
Speaker 1: in screwing over Mike Johnson, but also just showing how

1163
00:57:26,080 --> 00:57:29,640
Speaker 1: dysfunctional and insane the entire thing is. So I would not.

1164
00:57:29,960 --> 00:57:32,120
Speaker 1: I don't think things are going that well there for

1165
00:57:32,240 --> 00:57:34,080
Speaker 1: Mike Johnson, and I think he will be one of

1166
00:57:34,080 --> 00:57:37,440
Speaker 1: the shorter lived speakers in history, like he's not. I

1167
00:57:37,440 --> 00:57:39,080
Speaker 1: don't think he's going to be long for this world