1
00:00:00,240 --> 00:00:02,320
Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal

2
00:00:02,360 --> 00:00:04,240
Speaker 1: and Sager. We're going to be totally upfront with you.

3
00:00:04,360 --> 00:00:07,200
Speaker 1: We took a big risk going independent to make this work.

4
00:00:07,320 --> 00:00:11,880
Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC.

5
00:00:12,200 --> 00:00:15,760
Speaker 1: They are ripping this country apart. They are making millions

6
00:00:15,760 --> 00:00:18,360
Speaker 1: of dollars doing it. To help support our mission of

7
00:00:18,440 --> 00:00:20,720
Speaker 1: making all of us hate each other, less hate the

8
00:00:20,720 --> 00:00:24,000
Speaker 1: corrupt ruling class more support the show. Become a Breaking

9
00:00:24,000 --> 00:00:26,560
Speaker 1: Points Premium Member today, where you get to watch and

10
00:00:26,680 --> 00:00:29,640
Speaker 1: listen to the entire show ad free and uncut, an

11
00:00:29,640 --> 00:00:32,440
Speaker 1: hour early before everyone else. You get to hear our

12
00:00:32,479 --> 00:00:35,360
Speaker 1: reactions to each other's monologues. You get to participate and

13
00:00:35,360 --> 00:00:37,960
Speaker 1: weekly ask me any things, and you don't need to

14
00:00:38,000 --> 00:00:41,040
Speaker 1: hear our annoying voices pitching you like I am right now,

15
00:00:41,120 --> 00:00:43,320
Speaker 1: So what are you waiting for? Go to Breakingpoints dot

16
00:00:43,320 --> 00:00:46,080
Speaker 1: com become a Premium member today, which is available in

17
00:00:46,120 --> 00:01:05,440
Speaker 1: the show notes. Enjoy the show, guys, Good morning, everybody,

18
00:01:05,480 --> 00:01:08,080
Speaker 1: Happy Tuesday. We have an amazing show for everybody today.

19
00:01:08,080 --> 00:01:09,840
Speaker 1: When do we have Bristol? Indeed, we do a lot

20
00:01:09,840 --> 00:01:12,160
Speaker 1: of interesting stories for you this morning. So we've got

21
00:01:12,160 --> 00:01:15,679
Speaker 1: an update on omicron, getting some new numbers in just

22
00:01:15,720 --> 00:01:18,760
Speaker 1: helping us understand who needs to be concerned about this disease,

23
00:01:18,800 --> 00:01:21,920
Speaker 1: where it's cropping up, and what the public officials response

24
00:01:21,959 --> 00:01:25,399
Speaker 1: has been to that pretty stunning editorial from the Washington

25
00:01:25,440 --> 00:01:30,760
Speaker 1: Post saying that unvaccinated people should not get unemployment insurance.

26
00:01:30,800 --> 00:01:33,440
Speaker 1: I mean, this is just to me completely abhorrent. So

27
00:01:33,520 --> 00:01:38,480
Speaker 1: we'll dig into that. Some updates with regards to Jeffrey Epstein.

28
00:01:38,640 --> 00:01:40,920
Speaker 1: Some new documents have been revealed. We're going to look

29
00:01:41,040 --> 00:01:43,920
Speaker 1: for the first time at one of the deals that

30
00:01:44,280 --> 00:01:48,240
Speaker 1: he cut to avoid his accomplices being prosecuted, so we'll

31
00:01:48,440 --> 00:01:50,800
Speaker 1: talk about that. Also, a controversial doctor who did an

32
00:01:50,800 --> 00:01:53,240
Speaker 1: interview with Joe Rogan. That interview all the clips from

33
00:01:53,280 --> 00:01:56,880
Speaker 1: it have been taken down from YouTube, so we'll tell

34
00:01:56,920 --> 00:02:01,880
Speaker 1: you about that as well. Also, guys, apparently we are

35
00:02:02,000 --> 00:02:04,320
Speaker 1: very committed to this show become the top. People need

36
00:02:04,360 --> 00:02:06,760
Speaker 1: to know how much we love you and this show.

37
00:02:06,880 --> 00:02:11,320
Speaker 1: It's pandemonium here Washington, it truly is. I mean, we listen.

38
00:02:11,560 --> 00:02:13,640
Speaker 1: I'm sure other parts of the country get hit with

39
00:02:13,720 --> 00:02:16,160
Speaker 1: this much snow and it's no big deal, but here

40
00:02:16,280 --> 00:02:18,960
Speaker 1: it was complete meltsad and this was a bad storm.

41
00:02:19,000 --> 00:02:20,720
Speaker 1: Where I live in King George County was kind of

42
00:02:20,760 --> 00:02:23,480
Speaker 1: like the at the center. So I got stuck here

43
00:02:23,720 --> 00:02:27,720
Speaker 1: in DC. Almost the entire county is without power, including

44
00:02:27,720 --> 00:02:31,000
Speaker 1: my kids. It dropped down to you know, below twenty degrees,

45
00:02:31,080 --> 00:02:34,120
Speaker 1: like fifteen to twenty degrees last night. They're all doing fine.

46
00:02:34,160 --> 00:02:39,200
Speaker 1: They're with our amazing sitter. The roads are insane. There's

47
00:02:39,280 --> 00:02:41,880
Speaker 1: trees down everywhere. And I don't know if you guys

48
00:02:41,960 --> 00:02:44,440
Speaker 1: have seen this on the news, because shockingly there's not

49
00:02:44,480 --> 00:02:47,480
Speaker 1: that much coverage of it, but there's like fifty to

50
00:02:47,560 --> 00:02:52,960
Speaker 1: sixty miles of backup on I ninety five northbound, the

51
00:02:53,200 --> 00:02:56,400
Speaker 1: major interstate in the region, going all the way back

52
00:02:56,400 --> 00:02:59,160
Speaker 1: from if you guys know, the area before Fredericksburg, all

53
00:02:59,200 --> 00:03:01,399
Speaker 1: the way into this city. People have been trapped there

54
00:03:01,520 --> 00:03:04,760
Speaker 1: for like twenty hours for ours, Yeah, for like thirteen

55
00:03:04,840 --> 00:03:10,000
Speaker 1: to twenty hours in this extremely cold weather. So what

56
00:03:10,200 --> 00:03:13,600
Speaker 1: is the postal service is like neither snow nor rain

57
00:03:13,840 --> 00:03:16,000
Speaker 1: or whatever can stop us from doing the show. I

58
00:03:16,720 --> 00:03:19,560
Speaker 1: really think, Yeah, first of all, God bless the crew,

59
00:03:19,680 --> 00:03:21,600
Speaker 1: and you know it was you know, we did our

60
00:03:21,600 --> 00:03:24,040
Speaker 1: best to trek in here. But really, this is a

61
00:03:24,080 --> 00:03:26,880
Speaker 1: big failure of local government in Virginia, and a lot

62
00:03:26,919 --> 00:03:29,160
Speaker 1: of people need to have answers. Part of the things

63
00:03:29,200 --> 00:03:31,000
Speaker 1: I want to highlight, which is that, look, we knew

64
00:03:31,000 --> 00:03:33,120
Speaker 1: about the storm the night before. What were you doing?

65
00:03:33,280 --> 00:03:35,760
Speaker 1: You know, why are people trapped out there? I'm talking

66
00:03:35,760 --> 00:03:38,480
Speaker 1: about little kids in the cars. I was showing you

67
00:03:38,520 --> 00:03:41,680
Speaker 1: the story of people in electric cars who had to

68
00:03:41,720 --> 00:03:44,800
Speaker 1: turn their cars off and sleep with blankets because they

69
00:03:44,800 --> 00:03:47,640
Speaker 1: didn't have they were worried about losing power and powering

70
00:03:47,640 --> 00:03:49,240
Speaker 1: their car all night. That is, by the way, a

71
00:03:49,280 --> 00:03:52,200
Speaker 1: strike against electric cars. Yeah, think about it. Probably not

72
00:03:52,240 --> 00:03:53,920
Speaker 1: the best idea to drive. Really, what it is this

73
00:03:54,000 --> 00:03:57,320
Speaker 1: is a huge, massive governmental failure of I ninety five

74
00:03:57,440 --> 00:04:00,160
Speaker 1: the state of Virginia. People were literally backed up for

75
00:04:00,280 --> 00:04:02,760
Speaker 1: miles and miles. As you said, still southbound traffic this

76
00:04:02,880 --> 00:04:05,240
Speaker 1: morning actually on nine on A five still had not moved.

77
00:04:05,320 --> 00:04:08,160
Speaker 1: We're filming this. It's like seven am here on the

78
00:04:08,200 --> 00:04:10,440
Speaker 1: East coast, and I had heard from the I had

79
00:04:10,480 --> 00:04:13,400
Speaker 1: heard this morning on the radio that only northbound traffic

80
00:04:13,680 --> 00:04:15,680
Speaker 1: was beginning to move. We're talking about, you know, almost

81
00:04:15,720 --> 00:04:18,599
Speaker 1: ninety miles of backup. So totally wanted to highlight it

82
00:04:18,600 --> 00:04:21,240
Speaker 1: a little bit totally insane, and I mean in the

83
00:04:21,279 --> 00:04:24,800
Speaker 1: other pieces, like, I mean, this is also an infrastructure story, right.

84
00:04:25,080 --> 00:04:27,760
Speaker 1: The fact that the power lines aren't buried means that

85
00:04:27,800 --> 00:04:30,719
Speaker 1: when you have even you know, a significant but not

86
00:04:30,800 --> 00:04:33,400
Speaker 1: totally insane. I mean, this isn't unprecedented that we have

87
00:04:33,440 --> 00:04:36,799
Speaker 1: a foot of snow in the DC region, but people

88
00:04:36,960 --> 00:04:41,320
Speaker 1: are you know, completely without power for days on end

89
00:04:41,560 --> 00:04:46,120
Speaker 1: because the infrastructure is so vulnerable. I mean, it's it's

90
00:04:45,880 --> 00:04:50,160
Speaker 1: a it is an absolute mess here. You know, yesterday morning,

91
00:04:50,480 --> 00:04:52,240
Speaker 1: we were trying to make the call of whether or

92
00:04:52,279 --> 00:04:54,920
Speaker 1: not to do the show in studio or to do

93
00:04:55,000 --> 00:04:58,320
Speaker 1: it remotely, And it was one of those things where

94
00:04:58,360 --> 00:05:00,960
Speaker 1: it hit at exactly the wrong time because when we

95
00:05:00,960 --> 00:05:03,720
Speaker 1: were leaving our houses to come here, it was fine.

96
00:05:03,800 --> 00:05:06,680
Speaker 1: It was fine. It had been almost sixty degrees the

97
00:05:06,760 --> 00:05:09,520
Speaker 1: day before, so the ground was really warm, so it

98
00:05:09,560 --> 00:05:11,880
Speaker 1: didn't stick for a long time. So we looked down

99
00:05:11,920 --> 00:05:14,520
Speaker 1: our windows and talked to you know, Eric, who runs

100
00:05:14,520 --> 00:05:16,320
Speaker 1: our crew, and we're like, it looks fine, and it

101
00:05:16,320 --> 00:05:18,839
Speaker 1: looks like we can go no problem. And then we

102
00:05:18,880 --> 00:05:21,560
Speaker 1: start doing the show and we asked James, our producer,

103
00:05:21,600 --> 00:05:23,480
Speaker 1: to go take a look outside, and he's like Oh,

104
00:05:23,720 --> 00:05:27,800
Speaker 1: it's it's bad out there, so oh yeah. So anyway,

105
00:05:28,760 --> 00:05:31,240
Speaker 1: we're thinking a lot about the people who are stuck

106
00:05:31,279 --> 00:05:34,400
Speaker 1: in their cars still on ninety five, people who are

107
00:05:34,440 --> 00:05:37,760
Speaker 1: without power when it is extremely cold out there, and

108
00:05:37,880 --> 00:05:41,240
Speaker 1: just absolutely hoping that everybody stay safe. That's all we

109
00:05:41,279 --> 00:05:44,440
Speaker 1: really care about, especially kids. Yes, all right, so all

110
00:05:44,480 --> 00:05:46,919
Speaker 1: of that, Vings said. The story who wanted to start

111
00:05:46,920 --> 00:05:50,880
Speaker 1: with this morning is present Biden in his administration making

112
00:05:50,920 --> 00:05:55,560
Speaker 1: some moves to address the monopoly in meat packing. We

113
00:05:55,600 --> 00:05:57,599
Speaker 1: wanted to lead with this because it's an important issue.

114
00:05:57,640 --> 00:05:59,400
Speaker 1: It's also something we've been following here. I don't know

115
00:05:59,400 --> 00:06:00,800
Speaker 1: if you guys check down. We're going to play a

116
00:06:00,800 --> 00:06:03,400
Speaker 1: little bit of our interview with Bill Bullard, who has

117
00:06:03,440 --> 00:06:07,200
Speaker 1: been an incredible advocate for ranchers, pointing out that listen,

118
00:06:07,680 --> 00:06:11,839
Speaker 1: prices for beef have gotten extraordinarily high for consumers for

119
00:06:11,960 --> 00:06:15,840
Speaker 1: meat in general, and that high price is not at

120
00:06:15,839 --> 00:06:17,880
Speaker 1: all being passed on to the people who are all

121
00:06:18,000 --> 00:06:22,880
Speaker 1: actually raising and producing those animals, in particular cattle. So

122
00:06:23,000 --> 00:06:25,520
Speaker 1: you might recall that previously the Biden administration they sort

123
00:06:25,520 --> 00:06:28,440
Speaker 1: of like put down a talking point sheet about this

124
00:06:28,520 --> 00:06:31,280
Speaker 1: and said, oh, we're probably going to do something about this. Well,

125
00:06:31,320 --> 00:06:34,680
Speaker 1: now they are taking some action. It is winning some

126
00:06:34,760 --> 00:06:38,520
Speaker 1: bipartisan praise and also some bipartisan criticism. So we'll take

127
00:06:38,520 --> 00:06:40,200
Speaker 1: you into the specific here. Let's go ahead and throw

128
00:06:40,240 --> 00:06:42,240
Speaker 1: this first hair sheet up on the screen. This is

129
00:06:42,240 --> 00:06:44,600
Speaker 1: from Blueberg News. It says Biden to launch plan to

130
00:06:44,640 --> 00:06:48,920
Speaker 1: fight meat packing giants on inflation. He joined at Secretary

131
00:06:48,920 --> 00:06:51,800
Speaker 1: Tom Vilsak and Attorney General Merrit Garland to meet virtually

132
00:06:51,839 --> 00:06:54,880
Speaker 1: with ranchers and farmers to hear their complaints about consolidation

133
00:06:55,120 --> 00:06:57,839
Speaker 1: in the industry. A newly launched portal is going to

134
00:06:57,839 --> 00:07:00,800
Speaker 1: allow them to report unfair trade practices by meat packers,

135
00:07:01,080 --> 00:07:04,200
Speaker 1: and they're also going to highlight initiatives that they're taking

136
00:07:04,240 --> 00:07:07,760
Speaker 1: a counter meat packers' economic power. And the big piece

137
00:07:07,800 --> 00:07:09,840
Speaker 1: that they're doing here, the thing that was sort of

138
00:07:09,840 --> 00:07:13,120
Speaker 1: most significant is they're providing a billion dollars in federal

139
00:07:13,160 --> 00:07:16,840
Speaker 1: aid to help with the expansion of independent processors, and

140
00:07:16,880 --> 00:07:21,040
Speaker 1: new competition regulations are also under consideration, So that billion

141
00:07:21,080 --> 00:07:25,680
Speaker 1: dollars that they're effectively providing to incentivize new meat packers

142
00:07:25,960 --> 00:07:29,800
Speaker 1: to start or to prop up and expand existing operations

143
00:07:30,280 --> 00:07:32,360
Speaker 1: is the big thing and the reason that they're focused on.

144
00:07:32,400 --> 00:07:34,920
Speaker 1: This is because at this point, and this is a

145
00:07:34,960 --> 00:07:38,360
Speaker 1: new dynamic. By the way, just in the past several decades,

146
00:07:39,000 --> 00:07:43,920
Speaker 1: four large meat packing giants control more than eighty percent

147
00:07:44,760 --> 00:07:47,920
Speaker 1: of US beef processing capacity. By the way, and of

148
00:07:47,920 --> 00:07:50,360
Speaker 1: course Matt Stoller, we can put his chart that he

149
00:07:50,400 --> 00:07:52,320
Speaker 1: tweeted there up on the screen. This actually came from

150
00:07:52,320 --> 00:07:54,840
Speaker 1: the White House data, but it's a good chart. It

151
00:07:54,920 --> 00:07:59,240
Speaker 1: shows the red line is how much wholesale beef value

152
00:07:59,520 --> 00:08:03,680
Speaker 1: is going up while cattle value is basically staying flat.

153
00:08:03,760 --> 00:08:06,040
Speaker 1: So what that means is that the people who are

154
00:08:06,080 --> 00:08:08,720
Speaker 1: selling it at the end are making massive profit because

155
00:08:08,760 --> 00:08:10,840
Speaker 1: the price is going up and up. But again, the

156
00:08:10,880 --> 00:08:13,720
Speaker 1: people who are actually the ranchers who are actually raising

157
00:08:13,720 --> 00:08:17,800
Speaker 1: the cattle are getting totally screwed. Bill Buller told us,

158
00:08:17,800 --> 00:08:20,360
Speaker 1: they're dropping like flies. They can't stay in business because

159
00:08:20,360 --> 00:08:22,560
Speaker 1: for them the price is so low. Even to you,

160
00:08:22,720 --> 00:08:24,800
Speaker 1: the price is so high. It matters for that. It

161
00:08:24,840 --> 00:08:28,280
Speaker 1: also matters because we saw during the pandemic how fragile

162
00:08:28,320 --> 00:08:32,600
Speaker 1: it made our processing system. Because when you have such consolidation,

163
00:08:33,440 --> 00:08:37,720
Speaker 1: one chain has an issue and bam, that massively impacts

164
00:08:37,760 --> 00:08:40,560
Speaker 1: your supply of meat. And as we know, these meat

165
00:08:40,600 --> 00:08:45,120
Speaker 1: processing plants ended up being hotbeds of coronavirus spread, especially

166
00:08:45,120 --> 00:08:47,680
Speaker 1: at the beginning before we had vaccines, when we had

167
00:08:48,160 --> 00:08:52,360
Speaker 1: very dangerous strain. So that's another reason why this is important.

168
00:08:52,400 --> 00:08:53,800
Speaker 1: So I'll pause there and then we can talk about

169
00:08:53,800 --> 00:08:55,559
Speaker 1: some of the bipartisan respect. Yeah, but I think the

170
00:08:55,600 --> 00:08:58,400
Speaker 1: bipartisan response is actually really heartening. I mean, it's very

171
00:08:58,520 --> 00:09:01,520
Speaker 1: very difficult to find anything you and unify anyone on

172
00:09:01,559 --> 00:09:04,559
Speaker 1: this side. We have both anti monopolis and also people

173
00:09:04,559 --> 00:09:07,439
Speaker 1: who represent large farm districts. So, you know, even the

174
00:09:07,520 --> 00:09:10,160
Speaker 1: libertarian Thomas Massey, let's put this up there on the screen.

175
00:09:10,360 --> 00:09:13,200
Speaker 1: He says, threat the Biden administration is over the target

176
00:09:13,559 --> 00:09:16,280
Speaker 1: for companies control the majority of meat process in the

177
00:09:16,360 --> 00:09:19,960
Speaker 1: United States. This quadopoly of corporate middlemen have driven up

178
00:09:20,000 --> 00:09:24,080
Speaker 1: prices in stores while depressing prices paid to struggling farmers.

179
00:09:24,280 --> 00:09:27,320
Speaker 1: This is again a very important, you know, way in

180
00:09:27,400 --> 00:09:30,839
Speaker 1: order to foster at least some sort of bipartisan cooperation.

181
00:09:31,160 --> 00:09:33,720
Speaker 1: We'd also pointed out and asked Bill Bullard whenever he

182
00:09:33,760 --> 00:09:37,520
Speaker 1: was on the show, Chuck Grassley, another senator from the Midwest,

183
00:09:37,559 --> 00:09:39,640
Speaker 1: let's put that up there on the screen. He again

184
00:09:39,720 --> 00:09:43,200
Speaker 1: actually tweeted some of his praise there, especially regarding the

185
00:09:43,320 --> 00:09:46,679
Speaker 1: bipartisan bill we currently addressing the cattle market now look

186
00:09:47,240 --> 00:09:50,400
Speaker 1: as a special way of communicating, he is a great

187
00:09:50,440 --> 00:09:52,679
Speaker 1: follow if you if you aren't already, if you speak

188
00:09:52,679 --> 00:09:55,080
Speaker 1: scept to Genarian, you should be able to decipher it.

189
00:09:55,160 --> 00:09:57,520
Speaker 1: I personally do not. I'm doing my best in order

190
00:09:57,559 --> 00:10:00,360
Speaker 1: to translate for everyone. However, I do. I think that

191
00:10:00,400 --> 00:10:03,320
Speaker 1: this once again shows that because we do have a

192
00:10:03,360 --> 00:10:07,040
Speaker 1: crisis in terms of the price of food undeniably going up,

193
00:10:07,280 --> 00:10:10,640
Speaker 1: cattle input price risen slightly, and we've gone into some

194
00:10:10,679 --> 00:10:13,280
Speaker 1: of the reasons why, also because of draft all of that,

195
00:10:13,600 --> 00:10:16,120
Speaker 1: but with the vast majority of the price increase being

196
00:10:16,200 --> 00:10:19,480
Speaker 1: hiked up by the meat packers themselves. Yesterday we revealed

197
00:10:19,520 --> 00:10:21,840
Speaker 1: to all of you that sixty percent, nearly of the

198
00:10:21,880 --> 00:10:25,240
Speaker 1: current inflation price of cost is actually going directly to

199
00:10:25,320 --> 00:10:29,120
Speaker 1: corporate profits, not small businessmen, but fortune five hundred companies

200
00:10:29,120 --> 00:10:32,040
Speaker 1: who are using input prices as an excuse to jack

201
00:10:32,120 --> 00:10:35,560
Speaker 1: up the price higher than the necessary commeserate increase in

202
00:10:35,640 --> 00:10:38,120
Speaker 1: the actual price. They're using it, and they're actually bragging

203
00:10:38,120 --> 00:10:41,200
Speaker 1: about it to a lot of their shareholders. Remember Bill Bullerd,

204
00:10:41,200 --> 00:10:42,679
Speaker 1: he was one of the guests that we posted while

205
00:10:42,720 --> 00:10:45,079
Speaker 1: we were off for the holidays. He works for was

206
00:10:45,120 --> 00:10:49,320
Speaker 1: It Our Calf. It's an organization dedicated to protecting small

207
00:10:49,400 --> 00:10:53,439
Speaker 1: ranchers and going after the meatpacking kind of oligarchy who

208
00:10:53,520 --> 00:10:56,840
Speaker 1: are basically destroying the American ranching way of life. And

209
00:10:56,840 --> 00:10:58,079
Speaker 1: when we talk to him about it, I wanted to

210
00:10:58,120 --> 00:11:00,600
Speaker 1: highlight part of that interview. Let's take a less just

211
00:11:00,640 --> 00:11:04,160
Speaker 1: taken us into some of the reasons why beef prices

212
00:11:04,160 --> 00:11:08,240
Speaker 1: have gone up so much. Well, the reason is is

213
00:11:08,360 --> 00:11:12,920
Speaker 1: the marketplace is fundamentally broken. You have four packers controlling

214
00:11:13,000 --> 00:11:16,400
Speaker 1: eighty five percent of the fed cattle market. They have

215
00:11:16,640 --> 00:11:21,199
Speaker 1: control over the marketplace. We filed an antitrust lawsuit against

216
00:11:21,200 --> 00:11:24,760
Speaker 1: the Big four packers alleging that they have conspired to

217
00:11:24,920 --> 00:11:28,480
Speaker 1: artificially depressed prices to cattle producers while at the same

218
00:11:28,520 --> 00:11:32,720
Speaker 1: time inflating prices to consumers. So for the past six years,

219
00:11:32,720 --> 00:11:36,320
Speaker 1: we've seen consumer beef prices rising and we've seen cattle

220
00:11:36,360 --> 00:11:39,559
Speaker 1: prices falling. In fact, they're moving in the opposite directions.

221
00:11:40,000 --> 00:11:42,720
Speaker 1: And this is a great concern because the only ingredient

222
00:11:42,800 --> 00:11:45,480
Speaker 1: in beef is cattle, and so there should be a

223
00:11:45,520 --> 00:11:49,560
Speaker 1: harmonious relationship between the two price points, but that's not occurred.

224
00:11:49,800 --> 00:11:54,560
Speaker 1: And since twenty seventeen, we've seen beef prices skyrocketing the

225
00:11:54,640 --> 00:11:57,040
Speaker 1: consumers are paying at the grocery store. And at the

226
00:11:57,080 --> 00:11:59,640
Speaker 1: same time, we have cattle producers who are being forced

227
00:11:59,640 --> 00:12:02,360
Speaker 1: out of business because they cannot receive their cost of

228
00:12:02,440 --> 00:12:05,960
Speaker 1: production from the broken marketplace. And we have two problems.

229
00:12:06,000 --> 00:12:09,120
Speaker 1: We have a lack of competition in the entire live

230
00:12:09,240 --> 00:12:14,120
Speaker 1: cattle marketing structure, and then we have globalization. There you go.

231
00:12:14,280 --> 00:12:16,040
Speaker 1: I mean, he lays it all out there. The meat

232
00:12:16,160 --> 00:12:19,040
Speaker 1: meat industry is so broken. Bill is the first person

233
00:12:19,080 --> 00:12:21,079
Speaker 1: who ever highlighted me to it. I had no idea

234
00:12:21,120 --> 00:12:23,440
Speaker 1: crystal about that country of origin labeling. YEA, How you

235
00:12:23,440 --> 00:12:26,200
Speaker 1: can say product of the USA and you're from Uruguay.

236
00:12:26,320 --> 00:12:29,320
Speaker 1: I mean, people who are consumers think and I thought

237
00:12:29,320 --> 00:12:33,400
Speaker 1: I was supporting American ranchers, you're not. They've literally rigged

238
00:12:33,440 --> 00:12:36,480
Speaker 1: the labeling standards from the USDA, They've rigged the laws,

239
00:12:36,480 --> 00:12:39,320
Speaker 1: they've rigged the marketplace. And now and people like Bill

240
00:12:39,440 --> 00:12:41,280
Speaker 1: his families, people out there in the West, I mean,

241
00:12:41,320 --> 00:12:43,360
Speaker 1: this is, you know, part of the American identity, The

242
00:12:43,400 --> 00:12:48,119
Speaker 1: American way of life being completely destroyed by these corporate monopolies.

243
00:12:48,160 --> 00:12:52,000
Speaker 1: So for once, Biden doing something good, but you found

244
00:12:52,200 --> 00:12:55,000
Speaker 1: a very pression criticism which we do have to highlight. Yeah,

245
00:12:55,080 --> 00:12:57,360
Speaker 1: I mean, so here's what I would say. I think

246
00:12:57,400 --> 00:13:00,280
Speaker 1: this is directionally right. I think that he's focused in

247
00:13:00,320 --> 00:13:04,760
Speaker 1: the right direction because I do think Listen, there's a

248
00:13:04,800 --> 00:13:07,520
Speaker 1: lot of reasons that we've gotten into here about what's

249
00:13:07,559 --> 00:13:10,559
Speaker 1: causing the spike in prices, but one of the issues

250
00:13:10,800 --> 00:13:14,559
Speaker 1: is corporate greed. One of the issues is consolidation. Stolar

251
00:13:14,559 --> 00:13:16,800
Speaker 1: has done a better job than anyone of breaking down

252
00:13:17,040 --> 00:13:19,600
Speaker 1: exactly what the numbers are and exactly what's happening here.

253
00:13:19,800 --> 00:13:22,440
Speaker 1: And by the way, these folks are admitting it on

254
00:13:22,480 --> 00:13:24,480
Speaker 1: their earnings call the way I mean, they're telling their

255
00:13:24,480 --> 00:13:27,160
Speaker 1: show like, oh, the inflation, like this is actually great

256
00:13:27,200 --> 00:13:29,400
Speaker 1: for us. We're able to I'm paraphrasing, but we're able

257
00:13:29,400 --> 00:13:31,760
Speaker 1: to increase our prices and way beyond what they're and

258
00:13:32,480 --> 00:13:34,760
Speaker 1: they expect that even when the inflation dies down, they're

259
00:13:34,760 --> 00:13:36,360
Speaker 1: going to be able to keep their prices high because

260
00:13:36,360 --> 00:13:39,040
Speaker 1: people have gotten used to this new standard and they

261
00:13:39,040 --> 00:13:42,000
Speaker 1: can get away with it. The meat packing industry is

262
00:13:42,040 --> 00:13:45,480
Speaker 1: one of the most egregious examples, because you see how

263
00:13:45,520 --> 00:13:49,760
Speaker 1: they are reaping record profits, how some of the highest

264
00:13:49,800 --> 00:13:54,160
Speaker 1: price spike spikes are in meat at the grocery store

265
00:13:54,280 --> 00:13:56,960
Speaker 1: when you're trying to feed your family, and meanwhile, on

266
00:13:57,040 --> 00:14:01,000
Speaker 1: the other end, the ranchers are getting completely screwed. So

267
00:14:01,520 --> 00:14:04,120
Speaker 1: I'm glad that they are talking about this and focusing

268
00:14:04,160 --> 00:14:09,200
Speaker 1: on this, but the actual plan itself here wildly insufficient.

269
00:14:10,080 --> 00:14:12,680
Speaker 1: And you know, I dug in because this isn't my

270
00:14:12,840 --> 00:14:15,360
Speaker 1: specific area of expertise to see what people who are

271
00:14:15,440 --> 00:14:19,400
Speaker 1: advocates and our experts are saying, and basically every single

272
00:14:19,440 --> 00:14:22,640
Speaker 1: one is saying, thanks, but this is not really going

273
00:14:22,720 --> 00:14:26,600
Speaker 1: to do anything. I saw one person on Twitter saying that,

274
00:14:27,000 --> 00:14:29,520
Speaker 1: you know, imagine that your idea for how to deal

275
00:14:29,560 --> 00:14:31,760
Speaker 1: with Google was like, oh, we're going to help prop

276
00:14:31,840 --> 00:14:35,080
Speaker 1: up ask Jeeves. That's right, right, That's not going to

277
00:14:35,160 --> 00:14:38,000
Speaker 1: work because you haven't dealt with the larger structural issues.

278
00:14:38,040 --> 00:14:40,040
Speaker 1: And then what's going to happen. Google's going to buy

279
00:14:40,080 --> 00:14:43,200
Speaker 1: Ask Jeeves for pennies on the dollar. So you actually

280
00:14:43,320 --> 00:14:47,440
Speaker 1: only ultimately could be fueling making the big guys even

281
00:14:47,480 --> 00:14:51,000
Speaker 1: bigger by propping up wheat competitors who ultimately they're just

282
00:14:51,040 --> 00:14:54,560
Speaker 1: going to be able to acquire, so it's really ultimately

283
00:14:54,840 --> 00:14:59,320
Speaker 1: extremely insufficient. It ends up because of that just being

284
00:14:59,400 --> 00:15:02,240
Speaker 1: kind of a verse signal of them being able to

285
00:15:02,240 --> 00:15:04,160
Speaker 1: go out and say, hey, we're doing something and look

286
00:15:04,160 --> 00:15:06,560
Speaker 1: at this problem, which is a real problem. I think

287
00:15:06,600 --> 00:15:09,000
Speaker 1: the only reason why they're even paying attention to this

288
00:15:09,040 --> 00:15:11,080
Speaker 1: is because of some of the good people like Lena

289
00:15:11,160 --> 00:15:14,960
Speaker 1: Khan that the antitrust movement has been able to put

290
00:15:15,000 --> 00:15:19,119
Speaker 1: into positions of power. So it shows that their organization,

291
00:15:19,200 --> 00:15:21,400
Speaker 1: the fact that they had people in personnel ready to

292
00:15:21,440 --> 00:15:24,000
Speaker 1: go into the pipeline has made a difference. But ultimately,

293
00:15:24,040 --> 00:15:26,520
Speaker 1: let's put this criticism up on the screen. This is

294
00:15:26,560 --> 00:15:31,240
Speaker 1: from another rancher an advocate similarly positioned as Bill Bullard,

295
00:15:31,240 --> 00:15:35,440
Speaker 1: but this guy's name is Mike Calikrate, and he just says, listen,

296
00:15:35,560 --> 00:15:38,320
Speaker 1: if you weren't strengthening anti trust law enforcement, if you

297
00:15:38,360 --> 00:15:40,800
Speaker 1: don't have truth in labeling something that Bill Bullard talks

298
00:15:40,840 --> 00:15:45,000
Speaker 1: a lot about, if you don't stop subsidizing industrial agriculture,

299
00:15:45,240 --> 00:15:48,600
Speaker 1: and if you don't stop favoring large plants over small processors,

300
00:15:49,120 --> 00:15:53,040
Speaker 1: then you're ultimately not really addressing the issue here. And

301
00:15:53,120 --> 00:15:56,200
Speaker 1: so Look, that's the problem. If you actually want to

302
00:15:56,240 --> 00:16:00,440
Speaker 1: deal with market consolidation, you have to deal with getting

303
00:16:00,480 --> 00:16:03,840
Speaker 1: a lot of hate, a lot of anger, going directly

304
00:16:04,320 --> 00:16:08,960
Speaker 1: head to head against a very powerful industry, and so

305
00:16:09,120 --> 00:16:13,440
Speaker 1: far there has been no willingness from the Biden administration

306
00:16:13,600 --> 00:16:16,280
Speaker 1: ultimately to do that. Well, this is why Washington is

307
00:16:16,280 --> 00:16:18,560
Speaker 1: so broken. They can say one billion for a tiny

308
00:16:18,560 --> 00:16:22,000
Speaker 1: little fund. Ultimately, that's all that's really within the executives purview.

309
00:16:22,040 --> 00:16:24,480
Speaker 1: They have to work with Congress. Congress is broken. They're

310
00:16:24,480 --> 00:16:27,200
Speaker 1: working on build back better, if that's even such a thing.

311
00:16:27,400 --> 00:16:29,960
Speaker 1: Now they're focused on voting rights. I mean, look, you

312
00:16:29,960 --> 00:16:32,080
Speaker 1: can think those are important. I think there are much

313
00:16:32,080 --> 00:16:34,480
Speaker 1: bigger problems that we could focus on right now. Meat

314
00:16:34,600 --> 00:16:37,720
Speaker 1: is obviously one of the biggest ones. There's no endorsement

315
00:16:37,760 --> 00:16:40,320
Speaker 1: of the bill. And look, let's also be honest, would

316
00:16:40,360 --> 00:16:43,360
Speaker 1: this actually get a bunch of Republican votes in the

317
00:16:43,360 --> 00:16:46,320
Speaker 1: Senate a filibuster prove well already, I don't know. I

318
00:16:46,320 --> 00:16:48,680
Speaker 1: can't tell you the answer. It was telling too. We

319
00:16:48,800 --> 00:16:51,360
Speaker 1: put the Thomas Massey libertarian tweet out there, which, by

320
00:16:51,360 --> 00:16:54,040
Speaker 1: the way, he himself has like fifty head of cattle

321
00:16:54,160 --> 00:16:55,880
Speaker 1: or something like that. So he has a little bit

322
00:16:55,920 --> 00:16:57,840
Speaker 1: of a financial interest in this as well, which I

323
00:16:57,840 --> 00:17:01,040
Speaker 1: think it's important to disclose. But his initial tweet was like,

324
00:17:01,080 --> 00:17:03,200
Speaker 1: they're over the target, and then he's like, but what

325
00:17:03,240 --> 00:17:07,000
Speaker 1: we really need is deregulation. So when it gets down

326
00:17:07,480 --> 00:17:09,400
Speaker 1: to the brass tacks of what you're going to do,

327
00:17:10,320 --> 00:17:13,120
Speaker 1: then you know he's not as much into Okay, let's

328
00:17:13,160 --> 00:17:15,520
Speaker 1: break him up, let's move in the direction of anti trust,

329
00:17:15,600 --> 00:17:17,919
Speaker 1: let's prop up the small processors and things like that.

330
00:17:18,000 --> 00:17:19,600
Speaker 1: So when you get down to the solution, it gets

331
00:17:19,640 --> 00:17:23,800
Speaker 1: a little more complicated. But actually disagree that there's not

332
00:17:23,960 --> 00:17:28,000
Speaker 1: anything the Biden administration could do. In the past, when

333
00:17:28,080 --> 00:17:32,479
Speaker 1: you've had presidents people like FDR who would even you know,

334
00:17:32,600 --> 00:17:35,720
Speaker 1: indicate that their administration was going to go after these

335
00:17:35,760 --> 00:17:40,560
Speaker 1: big monopolies, it actually constrained their behavior because the biggest

336
00:17:40,680 --> 00:17:44,000
Speaker 1: check on a monopoly in terms of their pricing power

337
00:17:44,119 --> 00:17:47,439
Speaker 1: is public outrage. And so by just calling attention to

338
00:17:47,520 --> 00:17:51,800
Speaker 1: it and creating public outrage and having a credible threat

339
00:17:51,840 --> 00:17:53,719
Speaker 1: that you're going to do something serious about it, you're

340
00:17:53,760 --> 00:17:56,280
Speaker 1: going to break them up, that can in and of

341
00:17:56,320 --> 00:17:59,600
Speaker 1: itself actually constrain their behavior and drop prices. I bully

342
00:17:59,640 --> 00:18:02,680
Speaker 1: agree with you. The problem is the Biden administration's historically unpopular.

343
00:18:03,040 --> 00:18:04,879
Speaker 1: You know, if your meat packers, you're like, why should

344
00:18:04,880 --> 00:18:06,200
Speaker 1: I care what you have to say? You're one of

345
00:18:06,200 --> 00:18:10,320
Speaker 1: the most historically unpopular presidents in modern history. You're barely alive.

346
00:18:10,600 --> 00:18:12,399
Speaker 1: I mean, like whenever you give a speech. Has he

347
00:18:12,440 --> 00:18:14,439
Speaker 1: actually even given a speech on this, I don't think so.

348
00:18:14,640 --> 00:18:17,040
Speaker 1: I mean they've called it out maybe once or twice

349
00:18:17,280 --> 00:18:20,800
Speaker 1: from the podium. The public's energy is all directed towards Amicron.

350
00:18:21,080 --> 00:18:23,280
Speaker 1: To have to back up and have that ability, you

351
00:18:23,320 --> 00:18:25,280
Speaker 1: have to be popular, well you have to you not

352
00:18:25,400 --> 00:18:26,840
Speaker 1: just have to be popular, you have to have a

353
00:18:26,840 --> 00:18:29,840
Speaker 1: credible threat, and so far there's no credible threat that

354
00:18:29,840 --> 00:18:33,879
Speaker 1: they're really going to be willing to, you know, invoke

355
00:18:33,920 --> 00:18:37,440
Speaker 1: their hatred and go after them and try to break

356
00:18:37,480 --> 00:18:40,920
Speaker 1: them up. So anyway, we wanted to be a little

357
00:18:40,920 --> 00:18:42,840
Speaker 1: bit positive here and give them a little bit of

358
00:18:42,840 --> 00:18:45,679
Speaker 1: credit for at least saying something that speaking about the

359
00:18:45,720 --> 00:18:50,359
Speaker 1: right stuff directionally correct. But as is often the case

360
00:18:50,480 --> 00:18:53,600
Speaker 1: with the Biden administry, I mean the beginning of his administration,

361
00:18:53,680 --> 00:18:55,760
Speaker 1: we track this routinely where you do an executive order

362
00:18:55,800 --> 00:18:57,920
Speaker 1: where you're like, well, that sounds good, but I dug

363
00:18:57,920 --> 00:18:59,920
Speaker 1: into the details and it doesn't actually really do it

364
00:19:00,000 --> 00:19:02,919
Speaker 1: a whole lot. This is another case in point of

365
00:19:02,960 --> 00:19:04,760
Speaker 1: that direction. And this is what we always try to

366
00:19:04,760 --> 00:19:07,000
Speaker 1: do here Trump, you know, same thing. Every will be like, oh,

367
00:19:07,000 --> 00:19:08,600
Speaker 1: we're going after so and so, and then we dig

368
00:19:08,640 --> 00:19:12,359
Speaker 1: into the plan like no, you're not. Yeah he said it,

369
00:19:12,480 --> 00:19:14,720
Speaker 1: he said the nice thing, but you didn't actually do it.

370
00:19:14,800 --> 00:19:16,800
Speaker 1: So this is what we try to parse. You know,

371
00:19:16,800 --> 00:19:19,120
Speaker 1: at least he's talking about the right stuff. If anything,

372
00:19:19,200 --> 00:19:21,439
Speaker 1: spread the word this is why your meat prices are high.

373
00:19:21,600 --> 00:19:23,240
Speaker 1: All it can really do. You know, people like Biel

374
00:19:23,560 --> 00:19:24,920
Speaker 1: Bullard and others. You know, there's a lot of people

375
00:19:24,960 --> 00:19:26,679
Speaker 1: who are really suffering out there and it affects all

376
00:19:26,680 --> 00:19:29,480
Speaker 1: of us. Yes, this is an American identity, what you eat,

377
00:19:29,680 --> 00:19:31,679
Speaker 1: and also the people who produce it. We have to

378
00:19:31,680 --> 00:19:33,840
Speaker 1: protect them. So yeah, they're very well said. All right,

379
00:19:33,920 --> 00:19:36,600
Speaker 1: let's move on to Omicron. Wanted to try and just

380
00:19:36,640 --> 00:19:38,960
Speaker 1: you know, highlight the pieces of good news that I

381
00:19:38,960 --> 00:19:41,800
Speaker 1: don't think are being really propagated by the media. So

382
00:19:42,280 --> 00:19:45,920
Speaker 1: Miami of Miami Hospital to be clear, just hospital data,

383
00:19:46,240 --> 00:19:49,600
Speaker 1: COVID data. All of this has been so frustrating to

384
00:19:49,600 --> 00:19:53,560
Speaker 1: deal with Crystal in terms of parsing positivity rates. Obviously

385
00:19:53,560 --> 00:19:55,640
Speaker 1: we have a test bias. If you test more then

386
00:19:55,640 --> 00:19:58,960
Speaker 1: you're obviously going to see which test hit. When hospitalization,

387
00:19:59,040 --> 00:20:01,600
Speaker 1: the same thing, we have policy Generally, almost every single

388
00:20:01,640 --> 00:20:04,119
Speaker 1: hospital a patient enters, they get swabbed for COVID, so

389
00:20:04,160 --> 00:20:07,000
Speaker 1: or are they because of something else with COVID or not.

390
00:20:07,400 --> 00:20:09,879
Speaker 1: Now a new hospital in the city of Miami is

391
00:20:09,920 --> 00:20:14,199
Speaker 1: actually releasing some of their COVID data, but they're breaking

392
00:20:14,240 --> 00:20:17,720
Speaker 1: it down from people with COVID and then also those

393
00:20:17,760 --> 00:20:20,320
Speaker 1: who are because of COVID. So let's put this up

394
00:20:20,320 --> 00:20:24,520
Speaker 1: there on the screen. Now, fifty percent of recent COVID

395
00:20:24,600 --> 00:20:28,840
Speaker 1: quote unquote hospitalizations in this Miami or a hospital network

396
00:20:28,960 --> 00:20:33,000
Speaker 1: are actually people with COVID. Now of the twenty two

397
00:20:33,080 --> 00:20:37,720
Speaker 1: percent of all COVID hospitalizations incidental and non incidental, so

398
00:20:37,760 --> 00:20:42,560
Speaker 1: that means with and because of COVID, they are vaccinated. Sorry, yeah,

399
00:20:42,640 --> 00:20:46,959
Speaker 1: are vaccinated. Forty eight percent of vaccinated COVID patients themselves

400
00:20:47,480 --> 00:20:52,160
Speaker 1: are immunocompromised transplant patients. So it just goes to show

401
00:20:52,200 --> 00:20:58,240
Speaker 1: you that of the people who are vaccinated because of COVID, obviously,

402
00:20:58,440 --> 00:21:02,880
Speaker 1: vaccination dramatic reduces your likelihood of being in the hospital

403
00:21:02,960 --> 00:21:05,719
Speaker 1: in the first place. And then even those who are

404
00:21:05,760 --> 00:21:10,639
Speaker 1: there who are vaccinated, those people are severely immunal compromised

405
00:21:10,680 --> 00:21:14,240
Speaker 1: transplant patients. I don't want to minimize their experience. It's terrible,

406
00:21:14,400 --> 00:21:18,240
Speaker 1: but those types of people are disproportionately always likely to

407
00:21:18,280 --> 00:21:20,760
Speaker 1: be end up in the hospital with the flu A could.

408
00:21:20,800 --> 00:21:23,040
Speaker 1: I mean when you're on those immuno compromising drugs or

409
00:21:23,080 --> 00:21:25,480
Speaker 1: whatever and are trying to accept some organs. I mean,

410
00:21:25,520 --> 00:21:28,600
Speaker 1: it's a bad state. Same with chemo patients and more.

411
00:21:28,640 --> 00:21:31,440
Speaker 1: You know, they always say people who are deep in chemo,

412
00:21:31,520 --> 00:21:33,000
Speaker 1: We're like, hey, you got to keep these people away

413
00:21:33,040 --> 00:21:35,840
Speaker 1: from you know, flu can kill you whenever you're in

414
00:21:35,840 --> 00:21:38,720
Speaker 1: that level of an immunal compromised state. I am not

415
00:21:38,800 --> 00:21:41,560
Speaker 1: whitewashing their experience. I feel terrible for them. I'm just

416
00:21:41,640 --> 00:21:43,600
Speaker 1: giving you an example of when we're trying to craft

417
00:21:43,640 --> 00:21:45,800
Speaker 1: public health and we're trying to have an honest conversation

418
00:21:46,200 --> 00:21:48,479
Speaker 1: around the hospitalizations and who are the people who are

419
00:21:48,480 --> 00:21:50,560
Speaker 1: actually in the hospital. This is some of the clearest

420
00:21:50,640 --> 00:21:52,920
Speaker 1: data that we have yet. New York City is said

421
00:21:52,960 --> 00:21:55,080
Speaker 1: to be following in due course they're going to be

422
00:21:55,119 --> 00:21:57,440
Speaker 1: breaking apart this data. I do have to say, I

423
00:21:57,440 --> 00:21:59,080
Speaker 1: think it's taken. I don't know why it took two

424
00:21:59,160 --> 00:22:01,320
Speaker 1: years in order for this to be the case, but

425
00:22:01,520 --> 00:22:03,919
Speaker 1: kind of information, it's very good. In order to see this,

426
00:22:04,000 --> 00:22:06,920
Speaker 1: I think we should celebrate vaccines work. They work incredibly

427
00:22:06,920 --> 00:22:10,440
Speaker 1: well at reducing the risk of hospitalization and death. During

428
00:22:10,480 --> 00:22:12,800
Speaker 1: the Robert Malone segment, we have another chart actually in

429
00:22:12,880 --> 00:22:16,000
Speaker 1: order to show you in terms of vaccination status versus

430
00:22:16,080 --> 00:22:19,359
Speaker 1: unvaccination status in hospitalization, we are talking about almost a

431
00:22:19,440 --> 00:22:23,520
Speaker 1: tenfold in terms of the difference across all different ages. Yes,

432
00:22:23,760 --> 00:22:26,560
Speaker 1: it's really consistent. That was the part that was really

433
00:22:26,600 --> 00:22:29,600
Speaker 1: striking in those particular graphs that Derek Thompson tweeted out,

434
00:22:29,720 --> 00:22:32,200
Speaker 1: is it's really consistent no matter what age range you are,

435
00:22:32,440 --> 00:22:34,919
Speaker 1: you are ten times more likely to be hospitalized with

436
00:22:35,000 --> 00:22:37,879
Speaker 1: COVID if you are unvaccinated. I mean, that's really the

437
00:22:37,920 --> 00:22:40,480
Speaker 1: thing for people to understand. I think it is also

438
00:22:40,520 --> 00:22:43,080
Speaker 1: important to say, like the fact that you do have

439
00:22:43,400 --> 00:22:46,840
Speaker 1: a significant amount of the population that has things like

440
00:22:47,000 --> 00:22:49,520
Speaker 1: you know, that cause them to be immuno compromised. That

441
00:22:49,680 --> 00:22:51,600
Speaker 1: is also part of the case for why it is

442
00:22:51,840 --> 00:22:55,520
Speaker 1: a public responsibility to get vaccinated to help to try

443
00:22:55,560 --> 00:22:58,639
Speaker 1: to stop the spread, because there are people who, you know,

444
00:22:58,680 --> 00:23:00,560
Speaker 1: the vaccine is going to be less of effective for

445
00:23:01,040 --> 00:23:02,720
Speaker 1: and even if they get it, and even if they

446
00:23:02,760 --> 00:23:05,520
Speaker 1: get boosted, it's just not going to work as well,

447
00:23:05,560 --> 00:23:08,480
Speaker 1: and it's COVID is going to continue to be extraordinarily

448
00:23:08,600 --> 00:23:12,320
Speaker 1: dangerous for them. But the bottom line here is really simple.

449
00:23:12,440 --> 00:23:16,119
Speaker 1: It's what we've been saying all along, especially with omicron

450
00:23:16,240 --> 00:23:20,040
Speaker 1: being a less severe disease, if you're vaccinated, you're very

451
00:23:20,160 --> 00:23:24,040
Speaker 1: very likely to be fine, especially if you're young, especially

452
00:23:24,080 --> 00:23:29,480
Speaker 1: if you're healthy, then your risk with omicron is extraordinarily low.

453
00:23:29,720 --> 00:23:32,200
Speaker 1: Minis cool. And so yeah, we need to make sure

454
00:23:32,240 --> 00:23:34,840
Speaker 1: that the public policy, especially given the fact that at

455
00:23:34,840 --> 00:23:38,520
Speaker 1: this point everybody has had universal access to vaccines for

456
00:23:38,640 --> 00:23:43,200
Speaker 1: quite a while now, so public policy should reflect that

457
00:23:43,480 --> 00:23:46,560
Speaker 1: landscape that exists today. Same thing on the omicron wave,

458
00:23:46,720 --> 00:23:49,520
Speaker 1: so to speak, regionally, at least here on the East Coast,

459
00:23:49,960 --> 00:23:52,119
Speaker 1: things in real time actually seem to be okay. So

460
00:23:52,200 --> 00:23:54,679
Speaker 1: let's put this up there on the screen. So the

461
00:23:54,800 --> 00:23:57,520
Speaker 1: decline in Google searches for COVID symptoms in the New

462
00:23:57,600 --> 00:24:00,199
Speaker 1: York metro area over the last week has actually had

463
00:24:00,240 --> 00:24:03,960
Speaker 1: a pretty significant drop off, and while the test positivity

464
00:24:04,000 --> 00:24:06,840
Speaker 1: rate continues to be reported, something you guys should all

465
00:24:06,880 --> 00:24:10,640
Speaker 1: remember is that test results during the omicron shortage we're

466
00:24:10,680 --> 00:24:13,480
Speaker 1: taking up to like a week or more in order

467
00:24:13,520 --> 00:24:16,200
Speaker 1: to be reported. So it's actually very possible that it's

468
00:24:16,280 --> 00:24:19,080
Speaker 1: older results that are being pop positive and they're being

469
00:24:19,080 --> 00:24:23,119
Speaker 1: reported in terms of positivity. And also what we're seeing

470
00:24:23,119 --> 00:24:25,639
Speaker 1: too is that a vast majority of rapid tests and

471
00:24:25,720 --> 00:24:27,720
Speaker 1: more cases don't ever get reported. Actually, now I think

472
00:24:27,720 --> 00:24:29,440
Speaker 1: about it, I've never reported my case, you know, because

473
00:24:29,480 --> 00:24:31,199
Speaker 1: I got a rapid test. You know, why should I?

474
00:24:31,440 --> 00:24:34,800
Speaker 1: And so that is something which again it's difficult in

475
00:24:34,880 --> 00:24:37,159
Speaker 1: order to try and get a hold of that. The

476
00:24:37,200 --> 00:24:39,720
Speaker 1: reason that we look at Google real time search data

477
00:24:39,760 --> 00:24:41,879
Speaker 1: is if you look in this is connecting some of

478
00:24:41,920 --> 00:24:44,359
Speaker 1: our lab league stuff. You know, if you go and

479
00:24:44,440 --> 00:24:47,360
Speaker 1: you look at not Google, I think it's bydu searches

480
00:24:47,600 --> 00:24:52,879
Speaker 1: for like diarrhea and cough. WUHAN is skyrocketed in like

481
00:24:52,920 --> 00:24:55,880
Speaker 1: the month of October. In the month of October. It's

482
00:24:55,920 --> 00:24:57,920
Speaker 1: one of the things that was put together by those

483
00:24:57,920 --> 00:25:01,640
Speaker 1: Harvard University researchers in terms of open source data where

484
00:25:01,640 --> 00:25:04,960
Speaker 1: you can pinpoint the exact timeline of the virus when

485
00:25:05,240 --> 00:25:07,920
Speaker 1: you know it may again may have escaped from the

486
00:25:08,000 --> 00:25:11,119
Speaker 1: lab and then has spread through the Wuhan population. I

487
00:25:11,240 --> 00:25:13,880
Speaker 1: just am pointing to these types of metrics you may

488
00:25:13,880 --> 00:25:16,680
Speaker 1: not hear from others. They just take, you know, painting

489
00:25:16,680 --> 00:25:19,840
Speaker 1: a very different picture. But sadly, and this is one

490
00:25:19,960 --> 00:25:22,520
Speaker 1: which you know, I just think is awful, is that

491
00:25:22,560 --> 00:25:27,159
Speaker 1: omicron is just really really closing a lot of public

492
00:25:27,200 --> 00:25:29,720
Speaker 1: schools across the country. Right now, let's put that up

493
00:25:29,720 --> 00:25:32,600
Speaker 1: there from the New York Times, which is that schools

494
00:25:32,680 --> 00:25:36,879
Speaker 1: nationwide confronting the chaos of omicron. Here in the DMB area,

495
00:25:36,960 --> 00:25:39,159
Speaker 1: you have a lot of schools that have gone ahead

496
00:25:39,200 --> 00:25:43,680
Speaker 1: and gone virtual. Even worse though, is all of these universities,

497
00:25:43,760 --> 00:25:48,119
Speaker 1: I mean universities with literal booster mandates going virtual for

498
00:25:48,160 --> 00:25:51,080
Speaker 1: what they say is the month of January, but everybody

499
00:25:51,119 --> 00:25:53,880
Speaker 1: knows is going to continue, and you know, they're even

500
00:25:53,920 --> 00:25:56,240
Speaker 1: saying that they won't be coming back in some of

501
00:25:56,280 --> 00:25:58,240
Speaker 1: these cases. I hear from any of these students and

502
00:25:58,280 --> 00:25:59,960
Speaker 1: they're like, well, they say until the peak of AMA

503
00:26:00,320 --> 00:26:01,919
Speaker 1: is over. What does that mean? I mean, you know,

504
00:26:01,960 --> 00:26:05,000
Speaker 1: once again, who decides what the peak is how long

505
00:26:05,400 --> 00:26:07,040
Speaker 1: is it to take? Is it two weeks after? Is

506
00:26:07,080 --> 00:26:09,800
Speaker 1: it three weeks after? What the peak is? Nobody knows.

507
00:26:09,840 --> 00:26:12,600
Speaker 1: It's just up to these like COVID bureaucrats who are

508
00:26:12,640 --> 00:26:15,399
Speaker 1: in these places. But we're clearly just making it up

509
00:26:15,440 --> 00:26:20,520
Speaker 1: as they Even then, somebody sent me yesterday like the COVID,

510
00:26:20,840 --> 00:26:25,520
Speaker 1: the head of COVID whatever policy at Georgetown University was

511
00:26:25,560 --> 00:26:28,359
Speaker 1: like out at a concert with the mascot. But fine, looks,

512
00:26:28,440 --> 00:26:31,560
Speaker 1: I don't care, go be attend your concert, attend your show.

513
00:26:31,600 --> 00:26:34,159
Speaker 1: But you're literally locking down students in their dorms and

514
00:26:34,160 --> 00:26:38,080
Speaker 1: telling them to like hold meetings outside in the frigid cold,

515
00:26:38,359 --> 00:26:42,080
Speaker 1: while you're not abiding by the same thing. One interesting

516
00:26:42,119 --> 00:26:45,320
Speaker 1: note though, of the Blue State. You know officials new

517
00:26:45,359 --> 00:26:49,480
Speaker 1: mayor Eric Adams sitting down yesterday and declaring emphatically those

518
00:26:49,480 --> 00:26:52,640
Speaker 1: schools are not going to close despite omicron. Let's take

519
00:26:52,640 --> 00:26:56,199
Speaker 1: a listen to what he said. The safest place for

520
00:26:56,320 --> 00:27:02,960
Speaker 1: our children is in a school building, and we are

521
00:27:03,040 --> 00:27:07,240
Speaker 1: going to keep our schools open and ensure that our

522
00:27:07,359 --> 00:27:11,320
Speaker 1: children are safe in a safe environment. Our children were

523
00:27:11,720 --> 00:27:18,480
Speaker 1: exposed to environment of crime, of uncertainty. It really traumatized

524
00:27:18,560 --> 00:27:23,360
Speaker 1: parents that did not have childcare. The remote learning aspect

525
00:27:23,480 --> 00:27:27,879
Speaker 1: of it was terrible for emplorer communities, particularly those children

526
00:27:27,920 --> 00:27:33,360
Speaker 1: that lived in homeless shelters or that lived or housing

527
00:27:33,400 --> 00:27:40,040
Speaker 1: and secure the food aspect. Schools provide primary meals for

528
00:27:40,160 --> 00:27:45,560
Speaker 1: many students in this city. And then the socialization we

529
00:27:45,600 --> 00:27:50,560
Speaker 1: saw increase in suicide attempted suicides. We're not sending an

530
00:27:50,720 --> 00:27:54,080
Speaker 1: unclear message of what is going to happen day today.

531
00:27:54,280 --> 00:27:56,280
Speaker 1: I'm going to tell you what's going to happen day

532
00:27:56,280 --> 00:28:00,879
Speaker 1: to day. We are saying open. I mean, one of

533
00:28:00,880 --> 00:28:04,400
Speaker 1: the only officials really is just coming out declaring it forcefully.

534
00:28:04,480 --> 00:28:06,879
Speaker 1: I think personally very much on the right side of

535
00:28:06,880 --> 00:28:10,359
Speaker 1: public opinion and of New York City parents, Christmas public.

536
00:28:10,400 --> 00:28:15,120
Speaker 1: I mean, it's just the right period. Yeah. I mean

537
00:28:15,160 --> 00:28:17,120
Speaker 1: listening you guys. I'm not a big Mayor Adams fan.

538
00:28:17,240 --> 00:28:19,679
Speaker 1: I think he is very, you too, closely tied to

539
00:28:19,840 --> 00:28:22,439
Speaker 1: corporate interest in New York, especially real estate developers. But

540
00:28:22,560 --> 00:28:24,760
Speaker 1: on this issue he's one hundred percent correct. It's going

541
00:28:24,800 --> 00:28:28,240
Speaker 1: to be extremely popular and I think he is going

542
00:28:28,240 --> 00:28:32,440
Speaker 1: to be very formidable politician period. Ross Barkin has been

543
00:28:32,640 --> 00:28:35,639
Speaker 1: tracking him closely. I would recommend to you his latest

544
00:28:35,680 --> 00:28:38,880
Speaker 1: peace on Mayor Adams and how he now has this

545
00:28:39,040 --> 00:28:44,920
Speaker 1: coalition of the business community, labor, and working class African

546
00:28:44,960 --> 00:28:47,640
Speaker 1: Americans in the city and it's just like unheard of.

547
00:28:47,920 --> 00:28:53,400
Speaker 1: And you know, this sort of very clear direction, I

548
00:28:53,440 --> 00:28:56,280
Speaker 1: think is what has been lacking a lot on the

549
00:28:56,280 --> 00:28:59,360
Speaker 1: Democratic side. Another politician I'm not a big fan of

550
00:28:59,640 --> 00:29:03,200
Speaker 1: is a governor of Colorado, Jared Polis, who has taken

551
00:29:03,280 --> 00:29:06,760
Speaker 1: kind of a similar approach of basically like, look, if

552
00:29:06,800 --> 00:29:09,640
Speaker 1: you're vaccinated, you're good. If you're not vaccinated, that's your

553
00:29:09,640 --> 00:29:13,080
Speaker 1: own damn fault. Ye, and we're moving forward, yes, you know,

554
00:29:13,200 --> 00:29:15,040
Speaker 1: I mean, and he's been very clear about it, and

555
00:29:15,080 --> 00:29:19,720
Speaker 1: his approval rating in Colorado is way higher than Joe

556
00:29:19,720 --> 00:29:22,800
Speaker 1: Biden's twenty points higher. And again I'm not a big

557
00:29:22,800 --> 00:29:26,719
Speaker 1: fan of Jared Polis either, who is also another Democratic

558
00:29:26,760 --> 00:29:30,960
Speaker 1: corporate tool. But in terms of COVID policy, this very

559
00:29:31,320 --> 00:29:36,160
Speaker 1: clear and defiant message I think is extraordinarily politically smart

560
00:29:36,200 --> 00:29:40,560
Speaker 1: and potent, and on schools, it's just completely clear to

561
00:29:40,600 --> 00:29:43,760
Speaker 1: me based on the data that it's the right direction.

562
00:29:44,080 --> 00:29:46,920
Speaker 1: I mean, I understand that in a lot of these

563
00:29:46,960 --> 00:29:50,920
Speaker 1: districts where they're experiencing a lot of teachers and staff

564
00:29:50,960 --> 00:29:53,280
Speaker 1: who have omicron right now, and it makes it very

565
00:29:53,320 --> 00:29:57,800
Speaker 1: logistically difficult even to have school because of the number

566
00:29:57,840 --> 00:30:00,200
Speaker 1: of grown ups who are sick and out with this thing.

567
00:30:00,600 --> 00:30:04,600
Speaker 1: But you should be doing everything you possibly can to

568
00:30:04,760 --> 00:30:07,400
Speaker 1: keep kids in school because we know they are at

569
00:30:07,680 --> 00:30:11,600
Speaker 1: very low risk with regards to this disease, negligible risk

570
00:30:11,760 --> 00:30:14,880
Speaker 1: with regards to this disease, and we know that they

571
00:30:14,920 --> 00:30:20,800
Speaker 1: were profoundly hurt by virtual school, especially kids who are

572
00:30:20,800 --> 00:30:24,920
Speaker 1: in the most vulnerable circumstances. So if we can whatever

573
00:30:25,000 --> 00:30:28,640
Speaker 1: we need to do to keep the schools open, you know,

574
00:30:28,800 --> 00:30:31,640
Speaker 1: as a place of stability and as a place of safety,

575
00:30:31,640 --> 00:30:33,840
Speaker 1: in a place where kids get you know, hot meals

576
00:30:33,920 --> 00:30:36,840
Speaker 1: every day, we need to make sure that that's a priority.

577
00:30:36,880 --> 00:30:38,640
Speaker 1: So I think may Or Adams is completely right now.

578
00:30:38,680 --> 00:30:40,200
Speaker 1: I couldn't agree with you more. I know some people

579
00:30:40,240 --> 00:30:42,760
Speaker 1: are worried about child hospitalizations. I did my best to

580
00:30:42,800 --> 00:30:45,840
Speaker 1: look into the data. The actual total number is really

581
00:30:46,240 --> 00:30:49,280
Speaker 1: not clear, but from the doctors who are quoted in

582
00:30:49,360 --> 00:30:52,520
Speaker 1: the Associated Press, more than two thirds of the kids

583
00:30:52,560 --> 00:30:55,520
Speaker 1: who end up in hospital have some sort of massive

584
00:30:55,600 --> 00:30:57,960
Speaker 1: underlying health condition. And I'm not talking about just like

585
00:30:58,040 --> 00:31:02,719
Speaker 1: being obese. People who are yearly compromised, have epilepsy or

586
00:31:03,000 --> 00:31:06,120
Speaker 1: have you know, leukemia or something like that. These are

587
00:31:06,200 --> 00:31:09,600
Speaker 1: children who are much much, much more likely to be

588
00:31:09,640 --> 00:31:13,600
Speaker 1: affected by any you know, not coronavirus, rhinovirus, flu, any

589
00:31:13,800 --> 00:31:17,400
Speaker 1: of these types of diseases. I am not minimizing that

590
00:31:17,480 --> 00:31:19,400
Speaker 1: I cannot imagine what it is like in order to

591
00:31:19,400 --> 00:31:21,680
Speaker 1: have a child in the hospital, but it's just important

592
00:31:21,680 --> 00:31:26,280
Speaker 1: to have context whenever we're talking about population wide controls

593
00:31:26,320 --> 00:31:29,800
Speaker 1: and more. Right, Well, the other reason why kids are

594
00:31:29,840 --> 00:31:33,960
Speaker 1: a larger proportion of those who are hospital is hospitalized

595
00:31:34,040 --> 00:31:35,800
Speaker 1: at this point in the pandemic is because few of

596
00:31:35,840 --> 00:31:38,400
Speaker 1: them are vaccinated. I mean that's I actually other think

597
00:31:38,560 --> 00:31:42,120
Speaker 1: that too, in terms of vaccination status and more with children. Yes,

598
00:31:42,200 --> 00:31:45,400
Speaker 1: vaccination also you know, in terms of the data, goes

599
00:31:45,440 --> 00:31:49,080
Speaker 1: and reduces the risk dramatically again of hospitalization, but then

600
00:31:49,160 --> 00:31:53,200
Speaker 1: children have an absolutely low risk in general. Also, by

601
00:31:53,240 --> 00:31:55,440
Speaker 1: the way, no matter what, I also looked into this

602
00:31:55,760 --> 00:31:58,480
Speaker 1: both for the show, but also I have kids, one

603
00:31:58,520 --> 00:32:01,800
Speaker 1: of whom is for and too young to be vaccinated.

604
00:32:02,760 --> 00:32:05,840
Speaker 1: And what they're saying from the data is that this

605
00:32:06,000 --> 00:32:09,000
Speaker 1: is not any more of a risk to kids than

606
00:32:09,120 --> 00:32:13,840
Speaker 1: previous versions, previous strains, so you know, be at least

607
00:32:13,840 --> 00:32:18,719
Speaker 1: a little bit comforted by that. That's right, All right,

608
00:32:18,800 --> 00:32:22,880
Speaker 1: let's move on speaking of vaccination unvaccination. We've just been

609
00:32:22,920 --> 00:32:28,000
Speaker 1: covering this very disturbing trope and trend in high society

610
00:32:28,080 --> 00:32:31,040
Speaker 1: of people who want to deny health care to people

611
00:32:31,040 --> 00:32:33,920
Speaker 1: who are unvaccinated. Somebody actually contacted me. They were upset.

612
00:32:33,920 --> 00:32:35,760
Speaker 1: So let me explain what I said yesterday when I

613
00:32:35,760 --> 00:32:38,400
Speaker 1: said it was a libertarian dream in order to deny

614
00:32:38,440 --> 00:32:41,640
Speaker 1: healthcare to people. What I'm talking about is the institutional

615
00:32:41,800 --> 00:32:45,680
Speaker 1: libertarians here in Washington have long been pushing a policy

616
00:32:45,720 --> 00:32:48,800
Speaker 1: preferred by the insurance companies. You had, a libertarian, it

617
00:32:49,000 --> 00:32:53,200
Speaker 1: was upsetting you, but I think it actually bears explanation.

618
00:32:53,920 --> 00:32:56,520
Speaker 1: Here's the thing. What they want is for the ability

619
00:32:56,520 --> 00:33:00,280
Speaker 1: for insurance companies and hospitals to charge people dynamically based

620
00:33:00,360 --> 00:33:03,640
Speaker 1: upon their healthcare. Now that may make sense if you're

621
00:33:03,720 --> 00:33:07,160
Speaker 1: the insurance company, but if you're the society and you

622
00:33:07,240 --> 00:33:10,080
Speaker 1: say no, people have a right to be treated pretty

623
00:33:10,160 --> 00:33:14,040
Speaker 1: much no matter what. And when you remove bias or sorry,

624
00:33:14,040 --> 00:33:16,760
Speaker 1: when you include bias on those, you open up the

625
00:33:16,800 --> 00:33:20,600
Speaker 1: door to all sorts of troubling conditions. For example, would

626
00:33:20,640 --> 00:33:23,520
Speaker 1: a lot of these people who are saying unvaccinated should

627
00:33:23,520 --> 00:33:27,040
Speaker 1: be denied healthcare? Would you support that policy for obesity?

628
00:33:27,160 --> 00:33:29,520
Speaker 1: Being obese is probably the single worst thing that you

629
00:33:29,560 --> 00:33:33,640
Speaker 1: can do to your body, for heart disease, cancer, all

630
00:33:33,720 --> 00:33:38,400
Speaker 1: cause mortality, literally everything. Personally, I don't support that whatsoever.

631
00:33:38,480 --> 00:33:40,120
Speaker 1: I think you should try to take care of yourself,

632
00:33:40,240 --> 00:33:42,000
Speaker 1: but that doesn't mean that if you get sick you

633
00:33:42,000 --> 00:33:44,760
Speaker 1: should be denied her. If you're a smoker, or a

634
00:33:44,800 --> 00:33:47,320
Speaker 1: struggle with a big about that, then I mean there

635
00:33:47,360 --> 00:33:51,920
Speaker 1: it's a never ending list of you know, better ways

636
00:33:51,960 --> 00:33:54,840
Speaker 1: that we could live or things that you could potentially

637
00:33:54,880 --> 00:33:57,440
Speaker 1: be ex judged on. Right, we have twenty five percent,

638
00:33:57,480 --> 00:33:58,960
Speaker 1: I think of the US, maybe twenty percent of the

639
00:33:59,040 --> 00:34:00,880
Speaker 1: US population smoke. I think every single one of them

640
00:34:00,920 --> 00:34:03,200
Speaker 1: should be taken care of, even if they get lung cancer. Yeah,

641
00:34:03,440 --> 00:34:05,400
Speaker 1: you know, was it the smartest thing to do? No,

642
00:34:05,720 --> 00:34:08,160
Speaker 1: But that's not the country that we live in, and

643
00:34:08,239 --> 00:34:11,359
Speaker 1: nor should it be one. And yet elite society who

644
00:34:11,400 --> 00:34:16,160
Speaker 1: once champion Barack Obama for removing the preconditioned bias of

645
00:34:16,239 --> 00:34:18,919
Speaker 1: insurance companies now want to bring it back, not only

646
00:34:18,960 --> 00:34:22,400
Speaker 1: in insurance but in terms of economic policy as well,

647
00:34:22,600 --> 00:34:24,520
Speaker 1: put this up there on the screen, which is that

648
00:34:24,640 --> 00:34:27,600
Speaker 1: the Washington Post editorial board. This is not a random

649
00:34:28,320 --> 00:34:31,120
Speaker 1: like columnist. I'm talking about the actual voice of the

650
00:34:31,160 --> 00:34:34,880
Speaker 1: paper says, quote, handing out unemployment aid to people who

651
00:34:34,960 --> 00:34:38,200
Speaker 1: refuse to get vaccinated is silly. And they are pointing

652
00:34:38,200 --> 00:34:41,760
Speaker 1: to specifically to different states which are going to provide

653
00:34:41,800 --> 00:34:45,120
Speaker 1: unemployment insurance for people who may lose their job or

654
00:34:45,160 --> 00:34:46,719
Speaker 1: you know, if they can claim they lose their job

655
00:34:46,920 --> 00:34:51,839
Speaker 1: because of vaccination status. Now, look, once again, nobody has

656
00:34:51,880 --> 00:34:55,759
Speaker 1: been more supportive of mass population wide, you know, vaccines

657
00:34:56,360 --> 00:34:58,480
Speaker 1: then a lot of them us here on the show.

658
00:34:59,120 --> 00:35:02,279
Speaker 1: I don't support the MA. And from this point of

659
00:35:02,360 --> 00:35:07,840
Speaker 1: view too, whenever you put in health specific carve outs

660
00:35:08,200 --> 00:35:12,400
Speaker 1: on unemployment insurance, you open up. You know, all of

661
00:35:12,440 --> 00:35:14,680
Speaker 1: these things that they've railed against in the past, they

662
00:35:14,719 --> 00:35:18,279
Speaker 1: are what constitutionally makes this different. And I don't mean

663
00:35:18,320 --> 00:35:20,160
Speaker 1: like in terms of the US constitution, like in terms

664
00:35:20,160 --> 00:35:23,360
Speaker 1: of the character of this then like a work requirement

665
00:35:23,719 --> 00:35:27,680
Speaker 1: or going after people welfare means testing, or going and

666
00:35:28,280 --> 00:35:32,200
Speaker 1: changing things on single mothers versus others. These are policies

667
00:35:32,239 --> 00:35:36,239
Speaker 1: they've railed against. Whenever it comes to SNAP program, welfare.

668
00:35:36,719 --> 00:35:40,319
Speaker 1: It's denial, systemic, you know, bias, all of that. But

669
00:35:40,360 --> 00:35:43,480
Speaker 1: then whenever it comes to just simple vaccination status, they

670
00:35:43,560 --> 00:35:45,239
Speaker 1: want to go out and say that you want to

671
00:35:45,280 --> 00:35:49,840
Speaker 1: deny people unemployment. This totally drives me crazy because it's

672
00:35:50,280 --> 00:35:52,799
Speaker 1: so what they're arguing here is that there are a

673
00:35:52,800 --> 00:35:56,759
Speaker 1: few states, a few red states that specifically past provisions

674
00:35:56,760 --> 00:35:59,960
Speaker 1: that said, if you get fired because you wouldn't get vaccine,

675
00:36:00,480 --> 00:36:02,759
Speaker 1: we're going to make sure we cover unemployment insurance. And

676
00:36:02,760 --> 00:36:05,600
Speaker 1: they rightly point out that there's some hypocrisy there from

677
00:36:05,680 --> 00:36:08,400
Speaker 1: those red states who were the first to poll unemployment

678
00:36:08,400 --> 00:36:11,120
Speaker 1: insurance during the pandemic and have been very stingy with

679
00:36:11,160 --> 00:36:15,280
Speaker 1: regards to unemployment benefits in general. However, they don't recognize

680
00:36:15,280 --> 00:36:17,719
Speaker 1: their own hypocrisy that they were on the other side

681
00:36:17,719 --> 00:36:19,880
Speaker 1: of that issue, and they were right in that regard,

682
00:36:20,160 --> 00:36:22,920
Speaker 1: saying that, listen, we got to make sure the economy's

683
00:36:22,920 --> 00:36:26,399
Speaker 1: crazy that workers that get fired for whatever reason, whether

684
00:36:26,440 --> 00:36:29,879
Speaker 1: they're gig workers or their regular wage earners, that they

685
00:36:30,080 --> 00:36:34,440
Speaker 1: are provided unemployment insurance. So this is the polar opposite

686
00:36:34,520 --> 00:36:40,480
Speaker 1: of the direction of anyone who considers them selves liberal, left, progressive,

687
00:36:40,840 --> 00:36:42,960
Speaker 1: whatever on that side of the spectrum, or just like

688
00:36:43,000 --> 00:36:46,799
Speaker 1: a basically decent human being should be advocating for, we

689
00:36:46,800 --> 00:36:50,480
Speaker 1: should be going in the opposite direction with unemployment insurance,

690
00:36:50,719 --> 00:36:55,200
Speaker 1: where whatever reason you're unemployed, you should get support period.

691
00:36:55,400 --> 00:36:58,279
Speaker 1: Because what they're opening this up to is they say, well,

692
00:36:58,280 --> 00:37:00,560
Speaker 1: since you were fired for cause, you're not eligible for

693
00:37:00,640 --> 00:37:05,040
Speaker 1: unemployment insurance. That gives the employers a lot of leeway

694
00:37:05,480 --> 00:37:08,360
Speaker 1: to say who deserves it and who doesn't, and it

695
00:37:08,400 --> 00:37:12,120
Speaker 1: can be hard to parse through the exact reason why

696
00:37:12,160 --> 00:37:15,480
Speaker 1: someone ultimately was fired, even with something that may seem

697
00:37:15,520 --> 00:37:20,640
Speaker 1: clear cut, like vaccination status. Sometimes employers also they'll use

698
00:37:20,719 --> 00:37:23,239
Speaker 1: something like we saw with Chris Smalls. They'll use some

699
00:37:23,719 --> 00:37:27,600
Speaker 1: minor breaking of some provision in order to justify firing

700
00:37:27,640 --> 00:37:29,200
Speaker 1: you because you were a pain in the butt to

701
00:37:29,239 --> 00:37:32,200
Speaker 1: them for some other reason, including sometimes labor organizing and

702
00:37:32,239 --> 00:37:35,080
Speaker 1: things like that. Within the organization, they won't be able

703
00:37:35,080 --> 00:37:37,600
Speaker 1: to find whatever justification to fire you for cause, and

704
00:37:37,600 --> 00:37:41,600
Speaker 1: those people should still get unemployment benefits. So this is

705
00:37:41,680 --> 00:37:44,680
Speaker 1: moving the program in the direction of making it much worse.

706
00:37:44,760 --> 00:37:48,279
Speaker 1: It will have zero effect in terms of ending the pandemic,

707
00:37:48,640 --> 00:37:53,880
Speaker 1: and it reveals this punitive mindset of judgment and shaming

708
00:37:54,000 --> 00:37:57,879
Speaker 1: and censorship that has become way too common and way

709
00:37:57,920 --> 00:38:01,239
Speaker 1: too dominant within the liberal mindset. So that's why it's

710
00:38:01,239 --> 00:38:03,600
Speaker 1: so disturbing. They have this line in here in this

711
00:38:03,760 --> 00:38:07,200
Speaker 1: editorial that I think is very revealing. They say, and

712
00:38:07,280 --> 00:38:11,279
Speaker 1: I quote, it's telling that business groups, including many state

713
00:38:11,360 --> 00:38:15,440
Speaker 1: chambers of commerce, are against giving unemployment aid to people

714
00:38:15,440 --> 00:38:18,680
Speaker 1: refusing to get vaccinated. They fear the policy will result

715
00:38:18,719 --> 00:38:21,400
Speaker 1: in higher taxes on companies to pay for these benefits.

716
00:38:21,680 --> 00:38:24,480
Speaker 1: The bulk of unemployment funding comes from taxes on businesses,

717
00:38:24,520 --> 00:38:27,960
Speaker 1: though the federal government typically kicks in additional money during recessions.

718
00:38:28,520 --> 00:38:31,960
Speaker 1: They're right, it is telling. The business groups are on

719
00:38:32,040 --> 00:38:35,000
Speaker 1: their side here because they're worried about They want to

720
00:38:35,000 --> 00:38:37,480
Speaker 1: be able to kick as many people off of unemployment

721
00:38:37,480 --> 00:38:41,280
Speaker 1: insurance incident, yes, as they possibly can, and this provides

722
00:38:41,320 --> 00:38:44,360
Speaker 1: them a ready made way to kick even more people

723
00:38:44,680 --> 00:38:47,360
Speaker 1: out of the program. So yes, it is telling, just

724
00:38:47,440 --> 00:38:49,760
Speaker 1: in the polar opposite of the way that you're ultimately

725
00:38:49,800 --> 00:38:52,080
Speaker 1: indicating here. And I also think we should explain this

726
00:38:52,280 --> 00:38:55,120
Speaker 1: who owns Washington Posts. People don't actually understand this, which

727
00:38:55,160 --> 00:38:58,760
Speaker 1: is that the editorial board is the voice of the owner,

728
00:38:59,080 --> 00:39:03,600
Speaker 1: the voice of the Wall Street Journal editorial board reflects

729
00:39:03,640 --> 00:39:09,040
Speaker 1: the views the biases of Rupert Murdoch himself. The editorial

730
00:39:09,040 --> 00:39:11,880
Speaker 1: board of the New York Times, that's the Salzburger family.

731
00:39:11,880 --> 00:39:15,200
Speaker 1: People don't seem to understand that the editorial board traditionally

732
00:39:15,320 --> 00:39:17,680
Speaker 1: is the outlet. This goes back all the way to

733
00:39:17,719 --> 00:39:20,920
Speaker 1: the Hurst Stays in terms of pushing the editorials and

734
00:39:21,040 --> 00:39:23,400
Speaker 1: using them in order to voice opinions held by the

735
00:39:23,440 --> 00:39:27,719
Speaker 1: owners themselves. Well, who owns the Washington Post. You all

736
00:39:27,760 --> 00:39:30,640
Speaker 1: know the answer. It's Jeff Bezos. And if you want

737
00:39:30,640 --> 00:39:34,400
Speaker 1: to put side by side that op ed trying to

738
00:39:34,440 --> 00:39:39,920
Speaker 1: deny people unemployment whenever they've lost their job for a

739
00:39:40,160 --> 00:39:42,360
Speaker 1: cause which you may not justifies us, but it's not

740
00:39:42,400 --> 00:39:44,920
Speaker 1: really up to you to decide. This is how mister

741
00:39:45,000 --> 00:39:47,919
Speaker 1: Bezos spent his new years. I've been trying to hard

742
00:39:47,920 --> 00:39:50,520
Speaker 1: in order to work this photo into the show. Let's

743
00:39:50,520 --> 00:39:53,000
Speaker 1: put it up there on the screen. So here he

744
00:39:53,120 --> 00:39:55,520
Speaker 1: is the second, I think, the second richest man in

745
00:39:55,600 --> 00:39:59,160
Speaker 1: the world. Classy guy, Mary, classy Bezos, for those who

746
00:39:59,200 --> 00:40:02,240
Speaker 1: are just listening, sit here in a tight floral shirt,

747
00:40:03,160 --> 00:40:07,000
Speaker 1: very extremely tight white pants. Tight pants really make me

748
00:40:07,080 --> 00:40:11,480
Speaker 1: with his girlfriend. This is a picture which was taken

749
00:40:11,680 --> 00:40:14,399
Speaker 1: in Saint Bart's, which is where a bunch of rich

750
00:40:14,440 --> 00:40:16,080
Speaker 1: people hang out, and they were hanging out on a

751
00:40:16,160 --> 00:40:19,279
Speaker 1: yacht which cost forty two thousand dollars a week in

752
00:40:19,400 --> 00:40:23,040
Speaker 1: order to in order to be on Yeah, very relatable.

753
00:40:23,200 --> 00:40:26,680
Speaker 1: So here you have a man who's fifty seven years old,

754
00:40:27,000 --> 00:40:30,960
Speaker 1: clearly blasting a ton of testosterone in HGH and all

755
00:40:31,000 --> 00:40:33,839
Speaker 1: sorts of other peptides and things. I mean, going through

756
00:40:33,880 --> 00:40:38,200
Speaker 1: a mid life crisis. Midlife crisis where dreams it two

757
00:40:38,320 --> 00:40:42,640
Speaker 1: hundred and seventy five billion dollars, whose organ in our

758
00:40:42,719 --> 00:40:46,840
Speaker 1: national politics is pumping out and advocating for a policy

759
00:40:47,000 --> 00:40:51,560
Speaker 1: to deny unemployment to disproportionately black people, to disproportionately poor

760
00:40:51,600 --> 00:40:54,760
Speaker 1: white people as well. I don't think of a I don't.

761
00:40:54,800 --> 00:40:57,000
Speaker 1: I can't think of a better metaphor. I mean, just

762
00:40:57,360 --> 00:40:59,520
Speaker 1: first of all, like have some dignity. I don't even

763
00:40:59,560 --> 00:41:01,759
Speaker 1: know what to say whenever it comes to this, Like

764
00:41:02,000 --> 00:41:03,839
Speaker 1: I was telling you, I say what you will about

765
00:41:03,840 --> 00:41:06,520
Speaker 1: the robber barons. They were never this some self respective

766
00:41:06,520 --> 00:41:09,839
Speaker 1: they built libraries. This guy, I mean, I don't even

767
00:41:09,880 --> 00:41:12,960
Speaker 1: know what to say. Yeah, I guess the silver lining

768
00:41:13,000 --> 00:41:15,080
Speaker 1: of that photo is that you can see even when

769
00:41:15,120 --> 00:41:17,800
Speaker 1: you're like either the first or second richest man on

770
00:41:17,880 --> 00:41:21,360
Speaker 1: the planet, you can still have deep insecurities and go

771
00:41:21,560 --> 00:41:26,400
Speaker 1: through profound midlife crises, as is very clearly evidenced in

772
00:41:26,480 --> 00:41:29,880
Speaker 1: that photo. So anyway, that's the guy who wants fewer

773
00:41:29,920 --> 00:41:33,040
Speaker 1: people to get unemployment benefits. Thank you, mister Bezos. Okay,

774
00:41:33,160 --> 00:41:35,879
Speaker 1: speaking of the rich lack of dignity so much more,

775
00:41:36,680 --> 00:41:39,520
Speaker 1: we follow this very closely. There things are coming to

776
00:41:39,600 --> 00:41:42,880
Speaker 1: a head in the legal battle between Prince Andrew and

777
00:41:43,400 --> 00:41:45,960
Speaker 1: Virginia Gufray. Virginia Gufray, for those who don't know, one

778
00:41:46,000 --> 00:41:49,920
Speaker 1: of the most credible Epstein accusers, who accuses Prince Andrew

779
00:41:50,120 --> 00:41:52,399
Speaker 1: of sexually assaulting her whenever she was a young girl

780
00:41:52,719 --> 00:41:56,920
Speaker 1: at multiple girls at the direction of Jeffrey Epstein and more. Well,

781
00:41:57,160 --> 00:42:02,000
Speaker 1: a new once confidential settlement rieman was revealed in court

782
00:42:02,200 --> 00:42:07,920
Speaker 1: yesterday which actually implicates Epstein, Prince Andrew and validates a

783
00:42:08,000 --> 00:42:10,960
Speaker 1: lot of what Virginia Guffray has been saying. So let's

784
00:42:10,960 --> 00:42:13,040
Speaker 1: put this up there from Law and Crime, which is

785
00:42:13,080 --> 00:42:17,040
Speaker 1: that a two thousand and nine settlement agreement was signed

786
00:42:17,239 --> 00:42:21,000
Speaker 1: by Jeffrey Epstein is now figuring prominently in the Prince

787
00:42:21,080 --> 00:42:23,560
Speaker 1: Andrew case that is being brought in a civil court

788
00:42:23,880 --> 00:42:26,759
Speaker 1: in New York City. So what you can actually see

789
00:42:26,840 --> 00:42:30,520
Speaker 1: in the settlement, it was five hundred thousand dollars sediment

790
00:42:30,560 --> 00:42:37,680
Speaker 1: deal between quote other potential defendants from an Epstein related liability.

791
00:42:38,200 --> 00:42:43,759
Speaker 1: Andrew is actually invoking this once long secret provision in

792
00:42:43,960 --> 00:42:47,560
Speaker 1: trying to fend off the lawsuit by Virginia Guffray. Now,

793
00:42:47,600 --> 00:42:51,160
Speaker 1: the reason why is that within the lawsuit they basically

794
00:42:51,400 --> 00:42:57,560
Speaker 1: argue that he falls into in expressly identified categories in

795
00:42:57,640 --> 00:43:02,520
Speaker 1: a release of liability from within this from within this agreement.

796
00:43:02,840 --> 00:43:06,400
Speaker 1: But really why it's important is that this five hundred

797
00:43:06,400 --> 00:43:10,360
Speaker 1: thousand dollars payment from Epstein to Virginia Gufray, this is

798
00:43:10,440 --> 00:43:13,360
Speaker 1: a secret, it's a two thousand and nine settlement, actually

799
00:43:13,480 --> 00:43:16,800
Speaker 1: shows you that there was not an admission necessarily, but

800
00:43:16,920 --> 00:43:20,520
Speaker 1: a payment between the two. And that validates again Gufrey's

801
00:43:20,520 --> 00:43:23,840
Speaker 1: own claims that she was victimized by Jeffrey Epstein, and

802
00:43:23,960 --> 00:43:26,520
Speaker 1: it goes that he was so worried enough about her

803
00:43:26,800 --> 00:43:28,680
Speaker 1: he was willing to pay her off to the tune

804
00:43:28,719 --> 00:43:31,040
Speaker 1: of half a million dollars, and that it is possible

805
00:43:31,280 --> 00:43:34,200
Speaker 1: that Prince Andrew and the accusations more were even included

806
00:43:34,239 --> 00:43:38,360
Speaker 1: within that settlement agreement. Crystal, Yeah. I mean, first of all, listen,

807
00:43:38,480 --> 00:43:41,000
Speaker 1: I'm not a lawyer. This seems crazy to me that

808
00:43:41,120 --> 00:43:43,160
Speaker 1: you can have this kind of language at a settlement

809
00:43:43,239 --> 00:43:45,759
Speaker 1: that says not only are we done here, but you

810
00:43:45,840 --> 00:43:49,439
Speaker 1: can't go after anyone else. And these groups of people

811
00:43:49,560 --> 00:43:52,879
Speaker 1: get a total pass indefinitely, not just on any sort

812
00:43:52,880 --> 00:43:55,200
Speaker 1: of sexual assault charges, but anything that they might do

813
00:43:55,360 --> 00:43:58,080
Speaker 1: to you. Ever, it seems crazy to me that that is,

814
00:43:58,440 --> 00:44:01,759
Speaker 1: you know, allowable. But that's the language that's in this

815
00:44:01,880 --> 00:44:04,360
Speaker 1: They have a quote in this article from an attorney,

816
00:44:04,719 --> 00:44:07,920
Speaker 1: Mitchell Epner, who is a former federal prosecutor who let

817
00:44:08,000 --> 00:44:11,239
Speaker 1: intake on sex trafficking cases in New Jersey in two

818
00:44:11,280 --> 00:44:13,800
Speaker 1: thousand and three and two thousand and four, who marveled

819
00:44:14,080 --> 00:44:16,520
Speaker 1: at the breadth of the agreement. He said, this is

820
00:44:16,600 --> 00:44:20,480
Speaker 1: an extraordinarily broad release that, on its face, releases any

821
00:44:20,560 --> 00:44:23,480
Speaker 1: claims that mis Guffray has against anyone she might have

822
00:44:23,560 --> 00:44:25,560
Speaker 1: been able to sue as a result of sexual abuse

823
00:44:25,600 --> 00:44:29,880
Speaker 1: by Epstein. It releases all claims she ever had or

824
00:44:30,040 --> 00:44:33,319
Speaker 1: now has upon for by any reason of any matter,

825
00:44:33,400 --> 00:44:35,360
Speaker 1: whether known or unknown, from the beginning of the world

826
00:44:35,680 --> 00:44:37,800
Speaker 1: to the day of this release. So if Prince Andrew

827
00:44:38,200 --> 00:44:41,600
Speaker 1: had run Virginia Guffray over in a hidden run, that

828
00:44:41,680 --> 00:44:47,920
Speaker 1: would be released too, So just extraordinarily broad reaching. This

829
00:44:48,120 --> 00:44:51,440
Speaker 1: is some of the language that Alan Dershowitz has also

830
00:44:52,040 --> 00:44:54,640
Speaker 1: cited in saying that, hey, you can't do anything here,

831
00:44:54,760 --> 00:44:59,400
Speaker 1: because I also was party to this agreement, and you know,

832
00:44:59,520 --> 00:45:01,440
Speaker 1: the other one that was done down and floor that

833
00:45:01,520 --> 00:45:05,040
Speaker 1: he helped negotiate also had similar language of basically like,

834
00:45:05,160 --> 00:45:07,600
Speaker 1: you can't come after any of us at any time

835
00:45:07,680 --> 00:45:11,120
Speaker 1: in the future either. It's just crazy, And to your point,

836
00:45:11,520 --> 00:45:13,759
Speaker 1: sort of backs up her claims that there was a

837
00:45:13,800 --> 00:45:15,680
Speaker 1: lot more going on here, and it was a lot

838
00:45:15,760 --> 00:45:17,960
Speaker 1: more than just Epstein, because otherwise, why do you include

839
00:45:18,120 --> 00:45:20,560
Speaker 1: all these other categories of people in this kind of settlement.

840
00:45:20,680 --> 00:45:23,040
Speaker 1: That's the key, which is that the settlement in two

841
00:45:23,080 --> 00:45:26,120
Speaker 1: thousand and nine was not just Epstein paying her off,

842
00:45:26,160 --> 00:45:29,200
Speaker 1: but it included all this insane language within it to

843
00:45:29,480 --> 00:45:34,239
Speaker 1: try and possibly head off events exactly like this one

844
00:45:34,520 --> 00:45:37,560
Speaker 1: from Prince Andrew from the powerful people. You should remember,

845
00:45:37,600 --> 00:45:40,279
Speaker 1: I mean Gufrey is accused, not just Prince Andrew's one

846
00:45:40,280 --> 00:45:42,279
Speaker 1: of the people in there I'm talking about like former

847
00:45:42,320 --> 00:45:46,279
Speaker 1: Prime Minister of Israel. A lot of different folks were

848
00:45:46,360 --> 00:45:49,400
Speaker 1: named by her. I mean with this one, it's just

849
00:45:49,520 --> 00:45:52,680
Speaker 1: so clear. There's literally a photo of him with his

850
00:45:52,800 --> 00:45:55,000
Speaker 1: hand around her waist when she was an underage girl,

851
00:45:55,360 --> 00:45:57,960
Speaker 1: like you got him dead to rights and you know,

852
00:45:58,040 --> 00:45:59,680
Speaker 1: he was like, I don't even know what did he say?

853
00:45:59,760 --> 00:46:01,360
Speaker 1: Then he's like, I don't even know if that's me.

854
00:46:01,719 --> 00:46:05,799
Speaker 1: You know who knows that? Yeah. I was trying to say, like, oh,

855
00:46:05,800 --> 00:46:08,319
Speaker 1: I have this condition that keeps me from sweating, right, yeah,

856
00:46:08,800 --> 00:46:12,319
Speaker 1: I wouldn't even be which sweat her lawyers, Yeah, because

857
00:46:12,360 --> 00:46:14,279
Speaker 1: she had said he was profusely sweating, so oh, I

858
00:46:14,320 --> 00:46:16,839
Speaker 1: don't sweat. I have this condition. Her lawyers have been

859
00:46:16,880 --> 00:46:18,960
Speaker 1: trying to get him to produce some sort of documentation

860
00:46:19,120 --> 00:46:22,399
Speaker 1: gives the medical condition that has not been forthcoming yet. Yeah.

861
00:46:22,800 --> 00:46:25,320
Speaker 1: There's the whole way that this has been handled is

862
00:46:25,440 --> 00:46:28,839
Speaker 1: just so outrageous. And look, none of this is yet

863
00:46:28,880 --> 00:46:31,239
Speaker 1: should be taken as evidence that there will ever be

864
00:46:31,600 --> 00:46:34,759
Speaker 1: any justice here, because we should remember Prince Andrew is

865
00:46:34,880 --> 00:46:38,920
Speaker 1: currently battling even the necessity of having to appear in

866
00:46:39,040 --> 00:46:42,320
Speaker 1: court or even have his representatives be appearing here in

867
00:46:42,400 --> 00:46:44,480
Speaker 1: a court in New York for civil court. Because they

868
00:46:44,520 --> 00:46:47,319
Speaker 1: don't want any of this to come to trial. They

869
00:46:47,440 --> 00:46:51,160
Speaker 1: have gone to extraordinary lengths, remember we told you previously,

870
00:46:51,280 --> 00:46:53,040
Speaker 1: like they have gone to links to make sure he

871
00:46:53,160 --> 00:46:55,839
Speaker 1: wasn't served with papers. They have argued that they don't

872
00:46:55,880 --> 00:46:58,879
Speaker 1: even have jurisdiction over him because he lives in the UK.

873
00:46:59,280 --> 00:47:02,560
Speaker 1: He has said that he will help US authorities, and

874
00:47:02,680 --> 00:47:05,560
Speaker 1: the FBI has tried to interview him dozens of times.

875
00:47:05,600 --> 00:47:09,279
Speaker 1: He refuses to schedule in interview. He's been retired from

876
00:47:09,600 --> 00:47:13,520
Speaker 1: royal duties and completely in hiding ever since that disastrous

877
00:47:13,760 --> 00:47:16,239
Speaker 1: BBC interview. He's a man with a lot to hide,

878
00:47:16,360 --> 00:47:19,360
Speaker 1: and this secret settlement raises a lot of questions fro him, Crystal. Indeed,

879
00:47:19,400 --> 00:47:22,160
Speaker 1: there's also a weird side note to this one, which

880
00:47:22,200 --> 00:47:24,120
Speaker 1: is that it just so happens that two of the

881
00:47:24,280 --> 00:47:26,880
Speaker 1: judges who were involved in the release here are the

882
00:47:27,080 --> 00:47:30,200
Speaker 1: very same judges who railroaded Stephen Donziger and sent him

883
00:47:30,200 --> 00:47:33,400
Speaker 1: to prison, Lewis Kaplan and Judge Presca. Just a weird

884
00:47:33,520 --> 00:47:37,680
Speaker 1: side note of the way that these worlds interesting saying

885
00:47:37,960 --> 00:47:40,440
Speaker 1: just strange all right, anyway, all right, listen, a lot

886
00:47:40,520 --> 00:47:42,000
Speaker 1: of you guys want us to cover the story, and

887
00:47:42,040 --> 00:47:44,080
Speaker 1: I do think it's really interesting. So we listened to

888
00:47:44,160 --> 00:47:45,839
Speaker 1: the whole thing. Let's put that at the very time. Yes,

889
00:47:45,960 --> 00:47:48,840
Speaker 1: So okay, both of us. Doctor Robert Malone, who has

890
00:47:48,920 --> 00:47:52,880
Speaker 1: become very prominent, especially in those who will call vaccine

891
00:47:53,000 --> 00:47:57,800
Speaker 1: hesitant and also anti vaxers, like outright anti vaxxers, he

892
00:47:58,200 --> 00:48:01,480
Speaker 1: went on Joe Rogan's podcast for a lengthy interview. We

893
00:48:01,560 --> 00:48:04,000
Speaker 1: both listened to all of it so that we can

894
00:48:04,080 --> 00:48:07,759
Speaker 1: be educated on who this individual was, what exactly he

895
00:48:07,880 --> 00:48:11,080
Speaker 1: was saying, what arguments he was making. He also then

896
00:48:11,320 --> 00:48:14,120
Speaker 1: afterwards went on Info Wars, which Crystal listened to and

897
00:48:14,200 --> 00:48:17,120
Speaker 1: I did not, which I also listened to, and we'll

898
00:48:17,160 --> 00:48:18,680
Speaker 1: get into a little bit more of the substance of

899
00:48:18,719 --> 00:48:20,880
Speaker 1: what he's saying, et cetera. But it was interesting to

900
00:48:21,000 --> 00:48:24,680
Speaker 1: me that clearly with Rogan, he knows Rogan is smart.

901
00:48:24,880 --> 00:48:28,239
Speaker 1: He can be you know, skeptical and inquisitive. He has

902
00:48:28,320 --> 00:48:30,040
Speaker 1: a lot of you know, data to back it up,

903
00:48:30,080 --> 00:48:33,160
Speaker 1: and so he brought like the science y version of

904
00:48:33,280 --> 00:48:36,360
Speaker 1: himself to Rogan on Info Wars. He was full in

905
00:48:36,680 --> 00:48:41,400
Speaker 1: like great reset New World Order, World Economic Forum. He

906
00:48:41,560 --> 00:48:43,360
Speaker 1: really kind of let it all hang out there. So

907
00:48:43,760 --> 00:48:45,200
Speaker 1: put that to the side, and we'll get to more

908
00:48:45,280 --> 00:48:47,560
Speaker 1: of that in a moment. The reason that a lot

909
00:48:47,640 --> 00:48:50,120
Speaker 1: of people are now talking about this in paying attention

910
00:48:50,560 --> 00:48:55,080
Speaker 1: is because YouTube took down all of the clips of

911
00:48:55,120 --> 00:48:59,840
Speaker 1: the interview that Malone did with Rogan. This also he

912
00:49:00,080 --> 00:49:02,480
Speaker 1: did the interview, it was like a day after Twitter

913
00:49:02,600 --> 00:49:06,560
Speaker 1: had banned his account permanently. So Twitter and YouTube both

914
00:49:06,880 --> 00:49:10,840
Speaker 1: censoring what Robert Malone is ultimately saying. Let's go ahead

915
00:49:10,840 --> 00:49:12,920
Speaker 1: and throw the Daily Mail tear sheet up on the

916
00:49:12,920 --> 00:49:15,680
Speaker 1: screen here they say, YouTube and Twitter delete Joe Rogan

917
00:49:15,760 --> 00:49:19,479
Speaker 1: interview with scientists who helped invent mRNA vaccines. Doctor Robert

918
00:49:19,520 --> 00:49:23,160
Speaker 1: Malone claimed US is now like Nazi Germany, was society

919
00:49:23,280 --> 00:49:28,640
Speaker 1: hypnotized to believe in vaccines and extreme pandemic measures. The

920
00:49:28,719 --> 00:49:31,120
Speaker 1: quote that they're referring to there, which was part of,

921
00:49:31,800 --> 00:49:34,120
Speaker 1: you know, part of what was very controversial about what

922
00:49:34,239 --> 00:49:37,840
Speaker 1: he was saying on Rogan's podcast. As he said quote

923
00:49:37,920 --> 00:49:40,880
Speaker 1: it was from basically European intellectual inquiry into what the

924
00:49:40,960 --> 00:49:44,040
Speaker 1: heck happened in Germany in the twenties and thirties, very intelligent,

925
00:49:44,200 --> 00:49:47,600
Speaker 1: highly educated population and they went barking mad and how

926
00:49:47,640 --> 00:49:51,319
Speaker 1: did that happen? The answer is mass formation psychosis when

927
00:49:51,360 --> 00:49:53,600
Speaker 1: you have a society that has become decoupled from each

928
00:49:53,640 --> 00:49:55,800
Speaker 1: other and has free floating anxiety in a sense that

929
00:49:55,880 --> 00:49:58,520
Speaker 1: things don't make sense, we can't understand it, and then

930
00:49:58,560 --> 00:50:00,800
Speaker 1: their attention gets focused by a leader or series of

931
00:50:00,880 --> 00:50:04,040
Speaker 1: events on one small point. Just like hypnosis, they literally

932
00:50:04,120 --> 00:50:06,840
Speaker 1: become hypnotized and can be led anywhere. Okay, so that

933
00:50:07,000 --> 00:50:09,600
Speaker 1: was part of what was so controversial about what he

934
00:50:09,760 --> 00:50:11,680
Speaker 1: was saying and the clips specifically which we're taken off.

935
00:50:11,880 --> 00:50:14,960
Speaker 1: A Yes, very true. So let me start with the

936
00:50:15,000 --> 00:50:18,080
Speaker 1: part that actually all of this to me is fairly straightforward.

937
00:50:18,120 --> 00:50:20,799
Speaker 1: But we have a very clear stance on this show.

938
00:50:22,000 --> 00:50:23,960
Speaker 1: I think, and I'm going to get into this more,

939
00:50:24,080 --> 00:50:26,680
Speaker 1: I do think that this individual is irresponsible. I think

940
00:50:26,719 --> 00:50:30,880
Speaker 1: he only focuses exclusively on the risks. I think he

941
00:50:31,000 --> 00:50:33,439
Speaker 1: cherry picks his evidence with regards to what he wants

942
00:50:33,480 --> 00:50:36,200
Speaker 1: to say about the vaccine, does not focus at all

943
00:50:36,719 --> 00:50:39,880
Speaker 1: on the benefits in some areas. You know, he's very

944
00:50:40,000 --> 00:50:43,399
Speaker 1: misleading in the claims that he makes, even as he's

945
00:50:43,440 --> 00:50:48,120
Speaker 1: a very sophisticated person. But he shouldn't be censored, oous

946
00:50:48,160 --> 00:50:50,720
Speaker 1: and this whole direction. We talked about this with Marjorie

947
00:50:50,719 --> 00:50:53,719
Speaker 1: Taylor Green yesterday. Do I like Marjorie Taylor Green. No,

948
00:50:54,080 --> 00:50:56,840
Speaker 1: I don't like Marjorie Taylor I think she's been irresponsible

949
00:50:56,880 --> 00:50:59,719
Speaker 1: with regard to coronavirus too. Do I think that the

950
00:51:00,000 --> 00:51:03,760
Speaker 1: appropriate response to that, an effective response to that, even

951
00:51:04,200 --> 00:51:08,600
Speaker 1: is to censor and deep platform and ban, et cetera. No,

952
00:51:09,239 --> 00:51:12,200
Speaker 1: And in some instances, as we have covered, deep platforming

953
00:51:12,400 --> 00:51:15,719
Speaker 1: does actually work to suppress certain people and minimize them.

954
00:51:16,160 --> 00:51:18,520
Speaker 1: In this instance though, and I think with Marjorie Taylor

955
00:51:18,560 --> 00:51:22,040
Speaker 1: Green too, it's having the polar opposite effect. Like if

956
00:51:22,080 --> 00:51:25,640
Speaker 1: you didn't want people to hear what this dude said, congratulations,

957
00:51:25,719 --> 00:51:27,359
Speaker 1: I wasn't gonna listen to what he said, But now

958
00:51:27,400 --> 00:51:29,720
Speaker 1: I want to listen to all like frickin four hours

959
00:51:29,800 --> 00:51:32,759
Speaker 1: of his interviews, you're making this guy into a star.

960
00:51:33,320 --> 00:51:35,279
Speaker 1: It's the same thing with the way that they have

961
00:51:35,560 --> 00:51:38,840
Speaker 1: this sort of like Rhonda santist arrangement syndrome, and like

962
00:51:39,040 --> 00:51:42,600
Speaker 1: you're making you are making this these people because you're

963
00:51:42,719 --> 00:51:46,720
Speaker 1: validating what is part of Malone's messagees. All this information

964
00:51:46,880 --> 00:51:48,840
Speaker 1: is so dangerous to the estabb they don't want you

965
00:51:48,920 --> 00:51:51,520
Speaker 1: to hear it. They want to censor this, they want

966
00:51:51,520 --> 00:51:54,759
Speaker 1: to allow this conversation, and then you go out and

967
00:51:55,040 --> 00:51:59,680
Speaker 1: validate exactly what he is saying in terms of like, oh,

968
00:51:59,760 --> 00:52:02,319
Speaker 1: they're just so afraid of this information being out there

969
00:52:02,840 --> 00:52:05,920
Speaker 1: in a healthy society, if you are confident in the

970
00:52:06,040 --> 00:52:08,840
Speaker 1: views that you hold, and I am very confident in

971
00:52:09,000 --> 00:52:12,800
Speaker 1: my view that for most people, the risks of getting

972
00:52:12,800 --> 00:52:16,160
Speaker 1: the vaccine are much less than the benefits that you'll

973
00:52:16,239 --> 00:52:18,000
Speaker 1: drive and put up some charts in a moment. If

974
00:52:18,040 --> 00:52:21,000
Speaker 1: you're confident in that position, be confident enough to go

975
00:52:21,080 --> 00:52:24,000
Speaker 1: and have the conversation, have the debate, put your viewpoint

976
00:52:24,040 --> 00:52:25,920
Speaker 1: out there, like Sanjay Gupta did, what are you going

977
00:52:26,000 --> 00:52:29,719
Speaker 1: on with Joe Rogan? Yes? Or like I was thinking

978
00:52:29,760 --> 00:52:32,279
Speaker 1: too about the type of conversations that Brianna Joy Gray

979
00:52:32,360 --> 00:52:34,520
Speaker 1: has been having on her podcast with people who are,

980
00:52:34,880 --> 00:52:38,960
Speaker 1: you know, sometimes problematic or controversial, where she's not afraid

981
00:52:39,280 --> 00:52:42,240
Speaker 1: to engage with them and debate with them and expose

982
00:52:42,280 --> 00:52:45,000
Speaker 1: where their views are silly, sometimes are wrong, and that

983
00:52:45,320 --> 00:52:49,480
Speaker 1: defends it so much. You shouldn't be afraid of information.

984
00:52:49,520 --> 00:52:52,360
Speaker 1: You shouldn't be afraid of having this debate. You shouldn't

985
00:52:52,360 --> 00:52:54,640
Speaker 1: be afraid of things that are even wrong or misleading.

986
00:52:54,680 --> 00:52:56,920
Speaker 1: If you're confident in your view, go out and have

987
00:52:57,080 --> 00:52:58,960
Speaker 1: the debate and tell them why they are wrong. I

988
00:52:59,040 --> 00:53:01,800
Speaker 1: completely agree, and I listened to both Peter McCullough and

989
00:53:01,960 --> 00:53:04,680
Speaker 1: to Robert Malone, and I learned some things from some

990
00:53:04,840 --> 00:53:06,920
Speaker 1: of them. I actually believe some of what they were

991
00:53:06,960 --> 00:53:09,960
Speaker 1: saying was correct, which was that there absolutely was a

992
00:53:10,080 --> 00:53:12,680
Speaker 1: campaign in the early days to shut down discussion of

993
00:53:12,840 --> 00:53:16,240
Speaker 1: therapeutic and to move people towards vaccination on the substance

994
00:53:16,280 --> 00:53:18,879
Speaker 1: of vaccination itself. And this actually gets to what also

995
00:53:18,960 --> 00:53:23,719
Speaker 1: annoys me about doctor Peter mccullar and doctor Robert Malone. Look,

996
00:53:24,160 --> 00:53:26,799
Speaker 1: the data is pretty clear. They like to talk about data.

997
00:53:27,120 --> 00:53:29,239
Speaker 1: This one is clear as day. Let's put it up there.

998
00:53:29,480 --> 00:53:31,840
Speaker 1: This is from Derek Thompson. I mean, look at this.

999
00:53:32,239 --> 00:53:35,719
Speaker 1: We are talking about a risk of hospitalization across every

1000
00:53:35,880 --> 00:53:40,120
Speaker 1: single age group, which is dramatically reduced from vaccination. Now,

1001
00:53:40,480 --> 00:53:43,759
Speaker 1: that is a fact. But look, it is true that

1002
00:53:43,920 --> 00:53:46,919
Speaker 1: there does seem to be a deep discomfort of people

1003
00:53:47,040 --> 00:53:50,719
Speaker 1: to acknowledge some basic facts, which is that from the beginning, yes,

1004
00:53:50,880 --> 00:53:54,160
Speaker 1: we were sold a message that COVID vaccines would prevent

1005
00:53:54,239 --> 00:53:57,360
Speaker 1: you from getting COVID for a variety of reasons around

1006
00:53:57,800 --> 00:54:01,680
Speaker 1: breakthrough delta omicron and all that that seems to be

1007
00:54:01,880 --> 00:54:05,359
Speaker 1: the effect of that has been reduced very much over time,

1008
00:54:05,680 --> 00:54:08,640
Speaker 1: certainly not with what the expectation was there. However, the

1009
00:54:08,719 --> 00:54:11,680
Speaker 1: hospitalization and death one is certainly there in terms of

1010
00:54:11,760 --> 00:54:15,080
Speaker 1: the adverse effects simply right now in the data, there

1011
00:54:15,200 --> 00:54:18,960
Speaker 1: is no reliable way to know. The y system often

1012
00:54:19,120 --> 00:54:22,080
Speaker 1: is reported by healthcare workers and others. Some say it

1013
00:54:22,120 --> 00:54:25,280
Speaker 1: could be underreported as much as one percent. Some people

1014
00:54:25,360 --> 00:54:28,239
Speaker 1: say that it's not reliable. I have no idea, it's

1015
00:54:28,280 --> 00:54:31,160
Speaker 1: not my job from the FDA. The number one thing

1016
00:54:31,239 --> 00:54:33,440
Speaker 1: that I actually take away from this crystal is that

1017
00:54:33,800 --> 00:54:37,520
Speaker 1: pharma is such a cancer upon our healthcare system that

1018
00:54:37,760 --> 00:54:41,160
Speaker 1: from now to the future we have to abolish so

1019
00:54:41,320 --> 00:54:43,759
Speaker 1: much of their control because it actually makes it so

1020
00:54:43,960 --> 00:54:47,359
Speaker 1: that people have legitimate reason to be suspect. Another thing

1021
00:54:47,480 --> 00:54:50,240
Speaker 1: I did not know until listening to doctor Peter McCullough

1022
00:54:50,280 --> 00:54:52,239
Speaker 1: and Robert Malone, and also I'm blanking on his name

1023
00:54:52,280 --> 00:54:55,240
Speaker 1: the guy who did the sickening episode around Big Pharma

1024
00:54:55,680 --> 00:54:58,880
Speaker 1: as John Amerson, which was that once again I had

1025
00:54:58,920 --> 00:55:01,680
Speaker 1: no idea was that whenever it comes to the actual

1026
00:55:01,760 --> 00:55:04,080
Speaker 1: data that is turned over for peer reviewed journals, that

1027
00:55:04,280 --> 00:55:07,160
Speaker 1: data is actually owned by big pharma who conduct the

1028
00:55:07,239 --> 00:55:10,680
Speaker 1: trials themselves, and that the quality control over the actual

1029
00:55:10,760 --> 00:55:13,040
Speaker 1: raw data itself is not turned out. It is not

1030
00:55:13,160 --> 00:55:15,560
Speaker 1: turned over, which means that they can try and screw

1031
00:55:15,640 --> 00:55:18,239
Speaker 1: with data in different ways that they've been caught doing

1032
00:55:18,320 --> 00:55:21,840
Speaker 1: so in court cases for example, like biox That is

1033
00:55:21,920 --> 00:55:25,480
Speaker 1: something which is dramatically reducing public trust in all this.

1034
00:55:25,640 --> 00:55:28,239
Speaker 1: So to me, my main takeaway is it is very

1035
00:55:28,280 --> 00:55:30,680
Speaker 1: clear that the vaccine works. It is very clear also

1036
00:55:30,760 --> 00:55:35,680
Speaker 1: that that disco uncomfortable conversations are being dramatically censored off

1037
00:55:36,040 --> 00:55:39,120
Speaker 1: of YouTube, Twitter and more, which is fueling a lot

1038
00:55:39,200 --> 00:55:42,600
Speaker 1: of people's conspiracy. And third, which is that the core

1039
00:55:42,680 --> 00:55:45,279
Speaker 1: of it to me is that the pharma control over

1040
00:55:45,560 --> 00:55:48,000
Speaker 1: the data and more has to end. It just has

1041
00:55:48,120 --> 00:55:51,359
Speaker 1: to in order to restore any confidence well in our health.

1042
00:55:51,520 --> 00:55:55,760
Speaker 1: I mean, listen, if you I agree with the problems

1043
00:55:55,840 --> 00:55:58,920
Speaker 1: of pharma obviously and the problems of profit within our

1044
00:55:59,000 --> 00:56:03,040
Speaker 1: medical system writ large, which has led to for us

1045
00:56:03,320 --> 00:56:07,120
Speaker 1: in the US, some of the worst health outcomes in

1046
00:56:07,280 --> 00:56:12,440
Speaker 1: the developed world, the worst healthcare outcomes at the highest cost.

1047
00:56:13,040 --> 00:56:16,520
Speaker 1: You are being price gouged to be kept stored sick

1048
00:56:17,280 --> 00:56:21,959
Speaker 1: and with ch conditions like that is what our system incentivizes.

1049
00:56:22,320 --> 00:56:25,839
Speaker 1: They make the most money when you are chronically ill.

1050
00:56:26,160 --> 00:56:28,920
Speaker 1: And so guess what, we have a population that, at

1051
00:56:29,120 --> 00:56:35,080
Speaker 1: disproportionate levels is chronically ill. Those problems, very real problems

1052
00:56:35,239 --> 00:56:39,640
Speaker 1: of profit incentive corrupting the entire pharmaceutical industry and the

1053
00:56:39,800 --> 00:56:45,640
Speaker 1: entire healthcare industry create also a hotbed for conspiracy theories

1054
00:56:45,840 --> 00:56:48,680
Speaker 1: and mistrust. So that is a big part. And if

1055
00:56:48,760 --> 00:56:51,200
Speaker 1: you agree with that, and I think that most of

1056
00:56:51,239 --> 00:56:56,120
Speaker 1: our audience does, you should be pushing for some sort

1057
00:56:56,160 --> 00:56:59,600
Speaker 1: of single payer healthcare, some way to get the profit

1058
00:56:59,680 --> 00:57:03,200
Speaker 1: motive out of the center of our healthcare system. That's

1059
00:57:03,239 --> 00:57:06,520
Speaker 1: also part of my frustration with people like this guy.

1060
00:57:06,880 --> 00:57:10,200
Speaker 1: He wants to sew all this, you know, upset about

1061
00:57:10,239 --> 00:57:12,120
Speaker 1: what's going on in our system, but they never go

1062
00:57:12,280 --> 00:57:15,359
Speaker 1: that extra step is saying like, here's why we need

1063
00:57:15,480 --> 00:57:17,920
Speaker 1: to reform our healthcare system, and X and Y and

1064
00:57:18,080 --> 00:57:21,920
Speaker 1: Z way in particular with something like Medicare for all

1065
00:57:22,040 --> 00:57:24,680
Speaker 1: or some sort of system that brings us closer to

1066
00:57:24,760 --> 00:57:27,600
Speaker 1: where the rest of the developed world ultimately is but

1067
00:57:27,960 --> 00:57:29,280
Speaker 1: you know, I want to bring this back to the

1068
00:57:29,320 --> 00:57:31,360
Speaker 1: substance of what he's saying, because I think this is

1069
00:57:31,440 --> 00:57:34,480
Speaker 1: really important. And again I think that doctor Malone is

1070
00:57:34,520 --> 00:57:38,920
Speaker 1: one of the more sophisticated actors in this zone of

1071
00:57:39,480 --> 00:57:41,600
Speaker 1: you know, a lot of people really resist the sort

1072
00:57:41,640 --> 00:57:44,760
Speaker 1: of anti vaxx label. But when the bulk of your argument,

1073
00:57:44,800 --> 00:57:48,120
Speaker 1: when ninety percent of your argument is about why the

1074
00:57:48,240 --> 00:57:50,760
Speaker 1: vaccine is dangerous and that's all that you focus on,

1075
00:57:50,960 --> 00:57:53,360
Speaker 1: I really don't care if you yourself are personally vaccinated.

1076
00:57:53,400 --> 00:57:55,320
Speaker 1: He says he is, but he also says he regrets

1077
00:57:55,360 --> 00:57:59,080
Speaker 1: getting it the substance of the arguments that you're making. Yeah,

1078
00:57:59,480 --> 00:58:03,000
Speaker 1: you are leading people to be way more skeptical of

1079
00:58:03,080 --> 00:58:06,560
Speaker 1: the vaccine than they should be, he says. In the

1080
00:58:06,760 --> 00:58:10,040
Speaker 1: Rogan podcast, he says, I believe in informed consent. That

1081
00:58:10,160 --> 00:58:13,400
Speaker 1: means people knowing about both the cost and the risks,

1082
00:58:13,800 --> 00:58:17,640
Speaker 1: but also the benefits. But he only talks about the risks.

1083
00:58:18,240 --> 00:58:21,480
Speaker 1: And so he now, listen, what I've heard other people say,

1084
00:58:21,880 --> 00:58:23,320
Speaker 1: and I don't know if he would make this argument

1085
00:58:23,440 --> 00:58:25,400
Speaker 1: or not, is like, yeah, but everybody else is talking

1086
00:58:25,440 --> 00:58:27,720
Speaker 1: about the benefits, So let's them talk about I'm just

1087
00:58:27,720 --> 00:58:30,040
Speaker 1: going to focus on this part because it's being under

1088
00:58:30,120 --> 00:58:33,080
Speaker 1: talked about. It's not being discussed enough. But the problem

1089
00:58:33,240 --> 00:58:35,320
Speaker 1: is when people really trust you, and there are a

1090
00:58:35,320 --> 00:58:37,360
Speaker 1: lot of people who really trust this guy and are

1091
00:58:37,440 --> 00:58:39,920
Speaker 1: really looking for his guidance and believe, especially because he

1092
00:58:40,000 --> 00:58:43,320
Speaker 1: did have a hand in development of mRNA technology, that

1093
00:58:43,480 --> 00:58:46,160
Speaker 1: this is a you know, someone who is incredibly credible,

1094
00:58:46,240 --> 00:58:48,320
Speaker 1: and they're going to, you know, really take his word

1095
00:58:48,840 --> 00:58:51,320
Speaker 1: for what they should do with their body. If you

1096
00:58:51,760 --> 00:58:56,320
Speaker 1: are only yourself presenting the part on the risks, then

1097
00:58:56,520 --> 00:58:58,920
Speaker 1: a lot of people aren't going to believe the other

1098
00:58:59,000 --> 00:59:02,160
Speaker 1: part of the benefits can exist. So it's incumbent on

1099
00:59:02,320 --> 00:59:04,800
Speaker 1: you when you're in a position like him, where you

1100
00:59:04,920 --> 00:59:06,520
Speaker 1: have a lot of people who trust you are looking

1101
00:59:06,600 --> 00:59:10,680
Speaker 1: to you for guidance, to present yourself the complete picture

1102
00:59:11,080 --> 00:59:15,040
Speaker 1: of the risks yes, which frankly, as far as we know,

1103
00:59:15,240 --> 00:59:19,960
Speaker 1: are relatively minimal, and the benefits, which are very very clear.

1104
00:59:20,160 --> 00:59:22,880
Speaker 1: At this point in the pandemic, we do have enough

1105
00:59:23,000 --> 00:59:25,320
Speaker 1: data from enough places, not just here in the US

1106
00:59:25,360 --> 00:59:28,640
Speaker 1: where our healthcare system is completely screwed up, but other

1107
00:59:28,720 --> 00:59:32,520
Speaker 1: countries around the world, and the findings are remarkably consistent.

1108
00:59:32,840 --> 00:59:37,400
Speaker 1: If you are vaccinated, you receive significant protection your risk

1109
00:59:37,480 --> 00:59:40,920
Speaker 1: of being hospitalized at every demographic, no matter who you are,

1110
00:59:41,040 --> 00:59:43,040
Speaker 1: no matter where you are, no matter what country you're in,

1111
00:59:43,320 --> 00:59:48,200
Speaker 1: are about ten times less being hospitalized if you are vaccinated.

1112
00:59:48,320 --> 00:59:52,560
Speaker 1: So ultimately, listen, if you listen to the podcast, it's

1113
00:59:52,680 --> 00:59:56,000
Speaker 1: three hours long. There's a lot of information there. It

1114
00:59:56,040 --> 00:59:58,320
Speaker 1: can feel like I'm getting overwhelmed with all of this

1115
00:59:58,840 --> 01:00:01,360
Speaker 1: data information in these stories in this country and that

1116
01:00:01,480 --> 01:00:04,920
Speaker 1: country and whatever. It's ultimately very simple. If you look

1117
01:00:05,000 --> 01:00:06,720
Speaker 1: at those charts that we put up on the screen

1118
01:00:06,960 --> 01:00:10,920
Speaker 1: from Derek Thompson, the vaccines provide a lot of benefit

1119
01:00:11,040 --> 01:00:15,120
Speaker 1: against severe hospitalization and death. That is the most important

1120
01:00:15,120 --> 01:00:18,160
Speaker 1: piece of data. So don't get sort of snowed by

1121
01:00:18,360 --> 01:00:20,720
Speaker 1: all of the things that are thrown at you in

1122
01:00:20,800 --> 01:00:24,200
Speaker 1: those three hours. That's the most critical piece of information understanding.

1123
01:00:24,200 --> 01:00:26,400
Speaker 1: I agree, And this also comes down to I think

1124
01:00:26,520 --> 01:00:29,080
Speaker 1: Rogan himself is disgusted and he has the biggest platform,

1125
01:00:29,120 --> 01:00:30,720
Speaker 1: so he's the probably the person who can make it happen.

1126
01:00:30,840 --> 01:00:33,800
Speaker 1: I do think somebody should, somebody like Sanjay Gupta, somebody

1127
01:00:33,960 --> 01:00:36,840
Speaker 1: like the TV Peter Hotez or you know, any of

1128
01:00:36,880 --> 01:00:41,560
Speaker 1: these virologists. Yeah, don't to go and talk with him, please,

1129
01:00:41,760 --> 01:00:44,920
Speaker 1: I am begging you in order to see exactly this,

1130
01:00:45,160 --> 01:00:47,160
Speaker 1: you know, the balance somebody put that chart up and

1131
01:00:47,200 --> 01:00:48,920
Speaker 1: be like, hey, what do you make of this? Then? Right?

1132
01:00:49,280 --> 01:00:51,520
Speaker 1: I mean this is the lack of discussion. And it

1133
01:00:51,600 --> 01:00:54,880
Speaker 1: also the selective coverage I think on the media as

1134
01:00:54,920 --> 01:00:57,080
Speaker 1: well is very is very bad, and because you lead

1135
01:00:57,280 --> 01:00:59,640
Speaker 1: to people thinking like, oh well, nobody, you know, I

1136
01:00:59,680 --> 01:01:02,880
Speaker 1: saw yesterday saying new study shows, you know, if you're obese,

1137
01:01:02,920 --> 01:01:04,960
Speaker 1: you're more likely to be from COVID. I'm like new,

1138
01:01:05,360 --> 01:01:07,960
Speaker 1: like you know in this since April of twenty twenty,

1139
01:01:08,360 --> 01:01:11,920
Speaker 1: whenever things get ignored in order to you know, propagate

1140
01:01:11,960 --> 01:01:14,440
Speaker 1: a single solution, and then the people who are distrustful

1141
01:01:14,440 --> 01:01:16,920
Speaker 1: of that solution see that it you know, those things

1142
01:01:17,000 --> 01:01:20,560
Speaker 1: being ignored, it makes him feel, correctly, as if all

1143
01:01:20,680 --> 01:01:23,560
Speaker 1: the facts are not being presented to people. I also

1144
01:01:23,640 --> 01:01:25,880
Speaker 1: believe in informed consent. I wish that that doctor and

1145
01:01:25,960 --> 01:01:29,080
Speaker 1: Peter mccallaugh also would provide people with you know, these

1146
01:01:29,200 --> 01:01:32,720
Speaker 1: charts and prevents a balanced picture of what's happening. I

1147
01:01:32,880 --> 01:01:35,640
Speaker 1: accept the argument, oh well, you hear it from everybody else,

1148
01:01:35,720 --> 01:01:38,200
Speaker 1: but you know, whenever you're talking on both sides of this,

1149
01:01:38,440 --> 01:01:41,120
Speaker 1: you need to try and present that fullness. So that's

1150
01:01:41,160 --> 01:01:42,880
Speaker 1: what we think. I think that there's no I think

1151
01:01:42,880 --> 01:01:44,760
Speaker 1: it's outrageous that the man should be taken off of

1152
01:01:45,040 --> 01:01:48,160
Speaker 1: Twitter and of YouTube, that he did ultimately invent the

1153
01:01:48,400 --> 01:01:51,600
Speaker 1: MR and a platform and some of the technology. I

1154
01:01:51,680 --> 01:01:54,280
Speaker 1: think he has a right to say everything that he

1155
01:01:54,400 --> 01:01:56,160
Speaker 1: has been and I think that the debate around this

1156
01:01:56,640 --> 01:01:59,880
Speaker 1: is very needed. If these doctors are becoming world fam

1157
01:02:00,280 --> 01:02:02,000
Speaker 1: you know, a lot of these guys are on MSNBC

1158
01:02:02,440 --> 01:02:04,880
Speaker 1: all the time. Do something useful and sit down with

1159
01:02:04,960 --> 01:02:07,040
Speaker 1: this guy or Peter McCollough and be like, no, this

1160
01:02:07,120 --> 01:02:08,840
Speaker 1: is why I think you're wrong. It would be so

1161
01:02:09,080 --> 01:02:12,040
Speaker 1: much horrified that the thing that you know, that exchange

1162
01:02:12,160 --> 01:02:16,040
Speaker 1: between Sanjay Gupta and Rogan was one of the best.

1163
01:02:16,760 --> 01:02:19,680
Speaker 1: It really was conversations that we've seen in this regard

1164
01:02:19,720 --> 01:02:22,000
Speaker 1: because people have a lot of reasons to be skeptical

1165
01:02:22,080 --> 01:02:26,040
Speaker 1: and uncomfortable that are legitimate. Our healthcare system does suck.

1166
01:02:26,280 --> 01:02:29,560
Speaker 1: People have had bad experiences with the medical system. You

1167
01:02:29,760 --> 01:02:32,000
Speaker 1: have been lied to, I mean some of it. We

1168
01:02:32,200 --> 01:02:35,440
Speaker 1: just learned this week about these prenatal tests for the

1169
01:02:35,480 --> 01:02:38,240
Speaker 1: new York Times that you know I had when I

1170
01:02:38,400 --> 01:02:40,760
Speaker 1: was pregnant with my second I think both of my

1171
01:02:41,040 --> 01:02:43,760
Speaker 1: my second two that you're told like they're going to

1172
01:02:43,840 --> 01:02:46,600
Speaker 1: tell you whether you have these rare conditions, and they're

1173
01:02:46,800 --> 01:02:53,680
Speaker 1: wildly inaccurate. Ninety ninety percent of the positive instances end

1174
01:02:53,800 --> 01:02:57,880
Speaker 1: up being incorrect, and there's very little disclosure about it.

1175
01:02:58,000 --> 01:03:01,400
Speaker 1: So bottom line is, people have we have good reasons

1176
01:03:01,640 --> 01:03:04,760
Speaker 1: for feeling skeptical and nervous about the information that you're

1177
01:03:04,800 --> 01:03:10,000
Speaker 1: being provided. Trying to censor and kick off platforms and

1178
01:03:10,240 --> 01:03:12,760
Speaker 1: shut down and pull the clips and all this stuff,

1179
01:03:13,200 --> 01:03:16,200
Speaker 1: you are only adding fuel to the fire. You are

1180
01:03:16,400 --> 01:03:20,480
Speaker 1: only feeding their narrative that these views are uncomfortable and

1181
01:03:20,560 --> 01:03:22,360
Speaker 1: they don't want the truth to come out all of

1182
01:03:22,440 --> 01:03:28,000
Speaker 1: these things. So much better to engage and debate and

1183
01:03:28,160 --> 01:03:32,000
Speaker 1: not be afraid of having the exchange. If you're confident

1184
01:03:32,160 --> 01:03:35,280
Speaker 1: in your views, don't be afraid of having the exchange.

1185
01:03:35,320 --> 01:03:37,600
Speaker 1: That is ultimately my bottom line here. That's right, Let's

1186
01:03:37,640 --> 01:03:40,560
Speaker 1: not forget mini block area. Yeah, we wanted to make

1187
01:03:40,560 --> 01:03:42,880
Speaker 1: sure we updated everybody broke last night, so we didn't

1188
01:03:42,920 --> 01:03:45,560
Speaker 1: have the ability to slot it on the little bottom graphic.

1189
01:03:45,640 --> 01:03:49,440
Speaker 1: But Elizabeth Holmes has gone ahead and been convicted of

1190
01:03:49,680 --> 01:03:53,000
Speaker 1: four out of the eleven counts. Now I looked into

1191
01:03:53,080 --> 01:03:55,480
Speaker 1: this and I said, what exactly is going on here?

1192
01:03:55,640 --> 01:03:58,920
Speaker 1: So here's what happened. Four of the counts of wire

1193
01:03:59,040 --> 01:04:03,440
Speaker 1: fraud specific against investors were ones where Homes was found

1194
01:04:03,480 --> 01:04:06,360
Speaker 1: guilty by the jury. On three of the counts of

1195
01:04:06,480 --> 01:04:10,120
Speaker 1: wirefraud she was not. She was there was no verdict

1196
01:04:10,200 --> 01:04:13,480
Speaker 1: reach the jury was deadlocked on those. And then on

1197
01:04:13,680 --> 01:04:17,400
Speaker 1: four of the counts of also of wirefraud, but specifically

1198
01:04:17,720 --> 01:04:21,880
Speaker 1: towards bad marketing, she was found not guilty. Now, in

1199
01:04:22,000 --> 01:04:24,400
Speaker 1: terms of the actual charges of which she was found

1200
01:04:24,400 --> 01:04:29,400
Speaker 1: guilty those four specifically on wirefraud of defrauding of her investors. Now,

1201
01:04:29,440 --> 01:04:32,560
Speaker 1: on those in particular, here's what they said. There is

1202
01:04:32,640 --> 01:04:36,560
Speaker 1: a maximum of twenty years on each count, so I

1203
01:04:36,600 --> 01:04:40,120
Speaker 1: guess technically she faces up to eighty years in prison. However,

1204
01:04:40,440 --> 01:04:43,920
Speaker 1: most people were convicted of wirefraud like this multiple counts

1205
01:04:43,920 --> 01:04:47,840
Speaker 1: and specifically usually serve them concurrently, and then even then

1206
01:04:47,920 --> 01:04:50,960
Speaker 1: I think the average time served is usually like two

1207
01:04:51,080 --> 01:04:53,840
Speaker 1: years for somebody of this charge. The government will probably

1208
01:04:53,920 --> 01:04:56,720
Speaker 1: bring a bigger case against Ms Holmes for why she

1209
01:04:56,800 --> 01:04:59,920
Speaker 1: spends more time in prison. But that's what happened. Personally,

1210
01:05:00,040 --> 01:05:01,439
Speaker 1: I don't know how the hell she even got found

1211
01:05:01,480 --> 01:05:05,840
Speaker 1: not guilty on day. One of them was on defrauding patient. Look,

1212
01:05:06,120 --> 01:05:07,920
Speaker 1: I wasn't on the jury. You know, I trust the

1213
01:05:08,360 --> 01:05:10,680
Speaker 1: how I trust the legal system generally, or at least

1214
01:05:10,760 --> 01:05:14,040
Speaker 1: juries much more than I trust other people. She was

1215
01:05:14,080 --> 01:05:18,800
Speaker 1: specifically not found guilty of defrauding patients. Yeah, if you

1216
01:05:19,120 --> 01:05:23,240
Speaker 1: read the book Bad Blood and all the cases here,

1217
01:05:23,680 --> 01:05:28,520
Speaker 1: people made real time medical decisions with her bullshit tests,

1218
01:05:28,840 --> 01:05:30,880
Speaker 1: and that's actually people were like, why do you care

1219
01:05:30,920 --> 01:05:33,640
Speaker 1: so much about defrauding rich people? Honestly, I don't in

1220
01:05:33,800 --> 01:05:36,800
Speaker 1: terms of those people. I care about those people who

1221
01:05:37,320 --> 01:05:41,240
Speaker 1: had to make bad medical decisions based upon her BS

1222
01:05:41,440 --> 01:05:44,680
Speaker 1: blood test. That has always been the number one way

1223
01:05:44,720 --> 01:05:48,320
Speaker 1: that she harmed, you know, normal folks who trusted her technology. Yeah,

1224
01:05:48,480 --> 01:05:50,600
Speaker 1: that is what stood out to me as well as

1225
01:05:50,680 --> 01:05:53,560
Speaker 1: she was convicted. Some of the charges she was convicted

1226
01:05:53,600 --> 01:05:56,360
Speaker 1: all all pertained to the investors, and she was found

1227
01:05:56,400 --> 01:05:59,240
Speaker 1: not guilty on all the charges that pertain to the

1228
01:05:59,320 --> 01:06:02,720
Speaker 1: patients who were depending on these tests to make real

1229
01:06:02,840 --> 01:06:06,840
Speaker 1: time health and medical decisions. So kind of a mixed

1230
01:06:06,880 --> 01:06:09,520
Speaker 1: bag in terms of an outcome, but she was found

1231
01:06:09,720 --> 01:06:15,000
Speaker 1: guilty and will serve probably sometime in prison, so there

1232
01:06:15,120 --> 01:06:16,840
Speaker 1: is some justice here. And I mean the reason this

1233
01:06:17,000 --> 01:06:22,840
Speaker 1: case has been interesting is because it intersects with our culture,

1234
01:06:23,080 --> 01:06:26,200
Speaker 1: it intersects with media. I mean, media really wanted to

1235
01:06:26,280 --> 01:06:31,680
Speaker 1: believe in this girl Boss story. She's very intentionally played

1236
01:06:31,800 --> 01:06:35,080
Speaker 1: up all of that, even like dressing like Steve Jobs,

1237
01:06:35,440 --> 01:06:39,280
Speaker 1: wanting to be portrayed as the female Steve Jobs, this

1238
01:06:39,520 --> 01:06:41,800
Speaker 1: young woman. I mean, they just were all in on

1239
01:06:42,000 --> 01:06:47,640
Speaker 1: the narrative of it, and very few journalists had this

1240
01:06:47,760 --> 01:06:50,600
Speaker 1: sort of technical background or expertise to actually dig into

1241
01:06:50,640 --> 01:06:53,840
Speaker 1: whether this worked. John Carreyrew obviously was the person at

1242
01:06:53,880 --> 01:06:57,040
Speaker 1: the Wall Street Journal who blew this whole thing open

1243
01:06:57,600 --> 01:07:01,480
Speaker 1: and started digging, and ultimately that leads to finding out that,

1244
01:07:01,920 --> 01:07:03,640
Speaker 1: you know, what was supposed to be happening is you

1245
01:07:03,760 --> 01:07:05,720
Speaker 1: draw this little prick of blood, and you're supposed to

1246
01:07:05,720 --> 01:07:08,240
Speaker 1: be able to do all. They have these groundbreaking machines

1247
01:07:08,280 --> 01:07:10,120
Speaker 1: that are going to test for all these different things

1248
01:07:10,400 --> 01:07:12,400
Speaker 1: with this little vial of blood. Well what they were

1249
01:07:12,440 --> 01:07:16,320
Speaker 1: really doing was that test only worked for a couple

1250
01:07:16,440 --> 01:07:19,440
Speaker 1: of different things. Everything else, they were just using existing

1251
01:07:19,520 --> 01:07:23,280
Speaker 1: machines from other companies, they're screwing up the results, oftentimes

1252
01:07:23,320 --> 01:07:28,000
Speaker 1: because it was all done so sloppily, and not only that,

1253
01:07:28,080 --> 01:07:31,160
Speaker 1: but of course wildly misleading their investors to believe that

1254
01:07:31,280 --> 01:07:33,800
Speaker 1: they're pushing this technology. For they had a who's who,

1255
01:07:34,360 --> 01:07:37,040
Speaker 1: you know, very prominent people who are involved, who are

1256
01:07:37,040 --> 01:07:42,400
Speaker 1: on the board, who were supporting, and again people wanted

1257
01:07:42,480 --> 01:07:48,280
Speaker 1: to believe the story, and she understood the way to

1258
01:07:48,440 --> 01:07:52,160
Speaker 1: play the media and make herself into a superstar. And

1259
01:07:52,240 --> 01:07:54,600
Speaker 1: then the other pieces like the culture of Silicon Valley,

1260
01:07:54,960 --> 01:07:56,600
Speaker 1: which is this sort of like fake it till you

1261
01:07:56,720 --> 01:07:59,880
Speaker 1: make it where there's a very thin line from being

1262
01:08:00,440 --> 01:08:04,160
Speaker 1: you know, a bold and audacious world changing entrepreneur and

1263
01:08:04,320 --> 01:08:07,040
Speaker 1: just being like a con man in a Charlatano to

1264
01:08:07,360 --> 01:08:10,200
Speaker 1: defend them, and which I will rarely do. She was lying,

1265
01:08:10,440 --> 01:08:12,840
Speaker 1: you know, It's like she was a liar in terms

1266
01:08:12,880 --> 01:08:16,120
Speaker 1: of her machine. It didn't work, Like right end of

1267
01:08:16,120 --> 01:08:19,000
Speaker 1: the day, they knew it didn't work, raise money for

1268
01:08:19,080 --> 01:08:21,719
Speaker 1: a machine that didn't work, sold a machine that didn't

1269
01:08:21,760 --> 01:08:26,080
Speaker 1: work to Walgreens that actual patients then ended up using,

1270
01:08:26,360 --> 01:08:29,240
Speaker 1: which had screwed up data. Unforgivable. In my opinion, I

1271
01:08:29,240 --> 01:08:31,360
Speaker 1: could care less about the rich folks, you know, but

1272
01:08:32,000 --> 01:08:34,920
Speaker 1: they have rights to But when it comes to those

1273
01:08:34,960 --> 01:08:36,639
Speaker 1: people and I read about them, you know, who thought

1274
01:08:36,680 --> 01:08:40,080
Speaker 1: they had allergies or made bad medical decisions and themselves

1275
01:08:40,120 --> 01:08:42,479
Speaker 1: got screwed up because of her tech. You know, screw her.

1276
01:08:42,640 --> 01:08:44,840
Speaker 1: So she deserves to spend a long time in prison. Yeah,

1277
01:08:44,960 --> 01:08:49,519
Speaker 1: she really does, Yes, she does, all right, Tager? What

1278
01:08:49,520 --> 01:08:51,519
Speaker 1: are you looking at? Well? Once upon a time I

1279
01:08:51,720 --> 01:08:54,559
Speaker 1: was a White House correspondent. Honestly, it was an awful job.

1280
01:08:54,640 --> 01:08:56,840
Speaker 1: You mostly chase the President around the White House grounds,

1281
01:08:56,880 --> 01:08:59,439
Speaker 1: You shout questions with very little hope of answers, and

1282
01:08:59,520 --> 01:09:01,920
Speaker 1: obviously you are crammed into a room that hasn't been

1283
01:09:02,000 --> 01:09:05,799
Speaker 1: updated since nineteen eighty with some characters, to put it nicely,

1284
01:09:06,240 --> 01:09:09,320
Speaker 1: although some I assume are good people. And while I

1285
01:09:09,439 --> 01:09:11,960
Speaker 1: mostly hated it, the job taught me a lot about

1286
01:09:12,040 --> 01:09:15,679
Speaker 1: how power works in this country. Most fundamentally, it revealed

1287
01:09:15,680 --> 01:09:17,439
Speaker 1: to me that the White House and the press are

1288
01:09:17,560 --> 01:09:21,400
Speaker 1: equal actors in a fake game for ratings and for propaganda,

1289
01:09:21,640 --> 01:09:24,639
Speaker 1: that the structures in place are set and put into

1290
01:09:24,720 --> 01:09:28,120
Speaker 1: the place for mutual career benefit, and that the American

1291
01:09:28,160 --> 01:09:31,200
Speaker 1: people are mostly forgotten in that equation. Now one of

1292
01:09:31,280 --> 01:09:33,559
Speaker 1: the ways that this has done is the seating chart

1293
01:09:33,640 --> 01:09:35,920
Speaker 1: in the White House Press Briefing Room. Yeah, I know

1294
01:09:36,080 --> 01:09:38,360
Speaker 1: it sounds mundane, but please stick with me, because what

1295
01:09:38,400 --> 01:09:41,120
Speaker 1: I'm i about to show you is exactly how the

1296
01:09:41,280 --> 01:09:44,720
Speaker 1: system is rigged. Worse, how the system is put into

1297
01:09:44,760 --> 01:09:48,519
Speaker 1: place to deny you the accountability you deserve of your

1298
01:09:48,560 --> 01:09:51,400
Speaker 1: White House and your press core. The seating chart of

1299
01:09:51,439 --> 01:09:53,680
Speaker 1: the White House Press Briefing Room is not up to

1300
01:09:53,760 --> 01:09:56,679
Speaker 1: the White House. Contrary to popular opinion, they don't care

1301
01:09:56,800 --> 01:10:00,040
Speaker 1: where people sit. The seating chart is determined by the

1302
01:10:00,120 --> 01:10:03,920
Speaker 1: White House Correspondence Association in organization I was once a

1303
01:10:04,000 --> 01:10:08,240
Speaker 1: card carrying member of. Now that organization is comprised already

1304
01:10:08,400 --> 01:10:11,120
Speaker 1: existing news outlets that cover the White House, who then

1305
01:10:11,240 --> 01:10:13,720
Speaker 1: govern and set the rules within them as to who

1306
01:10:13,800 --> 01:10:16,360
Speaker 1: sits where. In general, getting called on in the White

1307
01:10:16,360 --> 01:10:18,840
Speaker 1: House Press Briefing Room is a lot easier if you

1308
01:10:19,000 --> 01:10:21,240
Speaker 1: have a seat. The only way to get a seat

1309
01:10:21,400 --> 01:10:23,880
Speaker 1: is to be a member of the WHCA, and even

1310
01:10:23,920 --> 01:10:26,639
Speaker 1: then you have to have been in for years to petition.

1311
01:10:26,800 --> 01:10:29,120
Speaker 1: To get one, you have to have been certified by them.

1312
01:10:29,400 --> 01:10:31,479
Speaker 1: It's a whole process. Who do you think gets the

1313
01:10:31,520 --> 01:10:36,000
Speaker 1: best seats why CNN, MSNBC, Reuter's Ap, The Washington Post,

1314
01:10:36,120 --> 01:10:38,120
Speaker 1: the New York Times. You're starting to get the idea.

1315
01:10:38,439 --> 01:10:41,680
Speaker 1: It's a guild. They protect their own More importantly, they

1316
01:10:41,760 --> 01:10:46,160
Speaker 1: protect their proximity to power. This matters because the questions

1317
01:10:46,200 --> 01:10:48,639
Speaker 1: you get in the briefing room are basically the only

1318
01:10:48,720 --> 01:10:51,519
Speaker 1: time the administration is held accountable. So if you control

1319
01:10:51,600 --> 01:10:54,680
Speaker 1: the questions, you control the accountability. Now with AMICRON is

1320
01:10:54,720 --> 01:10:57,840
Speaker 1: a perfect excuse with getting even less accountability. There used

1321
01:10:57,880 --> 01:11:01,240
Speaker 1: to be before. See before COVID, the briefing room was

1322
01:11:01,280 --> 01:11:04,439
Speaker 1: still open. You could just walk in and stand up

1323
01:11:04,520 --> 01:11:06,639
Speaker 1: and try to get called on. It's how I used

1324
01:11:06,640 --> 01:11:08,960
Speaker 1: to Here's a photo of me doing just that in

1325
01:11:09,040 --> 01:11:12,160
Speaker 1: a tie that you might recognize. Here's the problem, though,

1326
01:11:12,439 --> 01:11:16,760
Speaker 1: During COVID, the White House briefing room was restricted. Understandably,

1327
01:11:16,800 --> 01:11:20,800
Speaker 1: at least before vaccines, the WAHCA accommodated people who used

1328
01:11:20,800 --> 01:11:23,400
Speaker 1: to stand like me with a rotating seat in the

1329
01:11:23,479 --> 01:11:26,360
Speaker 1: briefing room. Not perfect, but at least it was something

1330
01:11:26,439 --> 01:11:29,080
Speaker 1: that allowed reporters from non traditional outlets to at least

1331
01:11:29,080 --> 01:11:31,160
Speaker 1: get a chance to ask a question every once in

1332
01:11:31,200 --> 01:11:33,479
Speaker 1: a while. Some of those questions from my friends have

1333
01:11:33,600 --> 01:11:36,400
Speaker 1: been great. They actually pushed the White House outside of

1334
01:11:36,520 --> 01:11:39,240
Speaker 1: whatever contrarian stuff that at least Fox News was pushing

1335
01:11:39,280 --> 01:11:43,080
Speaker 1: that day. But now because of Omicron, you are witnessing

1336
01:11:43,160 --> 01:11:46,760
Speaker 1: how institutional power protects its own. The WHCA has now

1337
01:11:46,840 --> 01:11:50,080
Speaker 1: brought back restricted seating in the room, which includes permanent

1338
01:11:50,160 --> 01:11:52,960
Speaker 1: spots for a representative from the TV for the wires,

1339
01:11:53,160 --> 01:11:55,840
Speaker 1: rotational seats for everybody else. But here's the thing. The

1340
01:11:56,040 --> 01:11:59,080
Speaker 1: WHCA is literally ninety nine percent vaccinated and they are

1341
01:11:59,120 --> 01:12:02,719
Speaker 1: already required. What are they protecting people from a cold.

1342
01:12:03,120 --> 01:12:06,560
Speaker 1: And here's what's worse. As my friend Amber Anthi explains, Previously,

1343
01:12:06,640 --> 01:12:10,000
Speaker 1: with the WHCA limited attendance in the briefing room, there

1344
01:12:10,120 --> 01:12:13,960
Speaker 1: was one rotating seat that all members could qualify for. Now,

1345
01:12:14,320 --> 01:12:17,560
Speaker 1: the briefing room seats are limited only to outlets with

1346
01:12:17,720 --> 01:12:21,639
Speaker 1: previously assigned seats. This means that smaller and more independent

1347
01:12:21,680 --> 01:12:24,639
Speaker 1: outlets that used to stand people like me now cannot

1348
01:12:24,680 --> 01:12:28,160
Speaker 1: get the chance to attend a briefing to ask a question,

1349
01:12:28,560 --> 01:12:31,400
Speaker 1: which in practice means this The only people allowed in

1350
01:12:31,479 --> 01:12:34,040
Speaker 1: the briefing room right now are the people who work

1351
01:12:34,120 --> 01:12:36,960
Speaker 1: for the establishment media. This is the White House Press

1352
01:12:37,000 --> 01:12:39,599
Speaker 1: briefing room we're talking about here. If you ask most Americans,

1353
01:12:39,720 --> 01:12:41,840
Speaker 1: they can recall it on TV or from a movie.

1354
01:12:42,120 --> 01:12:44,559
Speaker 1: It is a symbol of the free press, but now

1355
01:12:44,760 --> 01:12:46,880
Speaker 1: it's a symbol of what the media really does in

1356
01:12:46,920 --> 01:12:50,080
Speaker 1: this country. They protect access to power for themselves and

1357
01:12:50,160 --> 01:12:52,880
Speaker 1: they rig the system. I can assure you the people

1358
01:12:52,960 --> 01:12:56,320
Speaker 1: happiest about this are the Biden administration, who you know,

1359
01:12:56,600 --> 01:12:59,120
Speaker 1: now don't have to ask, I don't have to face

1360
01:12:59,200 --> 01:13:03,800
Speaker 1: shouted questions from pesky reporters from smaller independent outlets. People

1361
01:13:03,960 --> 01:13:07,479
Speaker 1: wonder how and why people who have huge platforms online

1362
01:13:07,600 --> 01:13:10,360
Speaker 1: are ignored by people in DC. This is the answer.

1363
01:13:10,720 --> 01:13:14,240
Speaker 1: The people and what they want do not matter. Only

1364
01:13:14,360 --> 01:13:17,240
Speaker 1: thing that does is the people already inside of the

1365
01:13:17,280 --> 01:13:21,120
Speaker 1: guild who work with those in power to push the narrative. Now, look,

1366
01:13:21,360 --> 01:13:23,200
Speaker 1: a lot of the people who work in the WHCA.

1367
01:13:23,560 --> 01:13:25,840
Speaker 1: They are a good people, they really are, but they

1368
01:13:25,880 --> 01:13:29,400
Speaker 1: are trapped inside inn already existing system. One of the

1369
01:13:29,439 --> 01:13:33,920
Speaker 1: most most important parts of the landmark Manufacturing Consent was

1370
01:13:33,960 --> 01:13:36,640
Speaker 1: describing in detail how if you're somebody who wants to

1371
01:13:36,680 --> 01:13:39,080
Speaker 1: stir the pot or challenge the system, you will never

1372
01:13:39,240 --> 01:13:42,719
Speaker 1: even get the opportunity to do so someone as irreverent

1373
01:13:42,800 --> 01:13:44,720
Speaker 1: as me is not even allowed in the briefing room

1374
01:13:44,760 --> 01:13:47,200
Speaker 1: today if I wanted to ask a question, And here's

1375
01:13:47,280 --> 01:13:50,040
Speaker 1: the course, the real one. When does this go away?

1376
01:13:50,600 --> 01:13:52,920
Speaker 1: Right now is a pivotal time for this country. Jensaki

1377
01:13:53,040 --> 01:13:55,720
Speaker 1: literally mocked tests from the podium a couple of weeks ago.

1378
01:13:55,920 --> 01:13:57,880
Speaker 1: The president is one of the least approved presidents in

1379
01:13:57,920 --> 01:14:01,000
Speaker 1: modern history. Americans are pissed, and they really do deserve

1380
01:14:01,080 --> 01:14:03,640
Speaker 1: answers from their government, but they're being robbed of that

1381
01:14:04,320 --> 01:14:07,400
Speaker 1: by their supposed representatives in the free press. And it

1382
01:14:07,520 --> 01:14:10,360
Speaker 1: shows you how hollow so much of what that rhetoric

1383
01:14:10,560 --> 01:14:13,240
Speaker 1: was during the Trump administration. When they say freedom of

1384
01:14:13,280 --> 01:14:16,599
Speaker 1: the press, they really mean freedom for them to continue

1385
01:14:16,600 --> 01:14:19,560
Speaker 1: spreading lies and to divide us. Most people know in

1386
01:14:19,640 --> 01:14:22,280
Speaker 1: their bones that this sucks, that the media is awful,

1387
01:14:22,320 --> 01:14:25,080
Speaker 1: and they want better. I'm lucky at least enough to

1388
01:14:25,160 --> 01:14:27,600
Speaker 1: have been inside. So I've been inside the system, and

1389
01:14:27,680 --> 01:14:30,320
Speaker 1: I can explain to you that mechanisms, those that are

1390
01:14:30,360 --> 01:14:32,760
Speaker 1: in place which determine what you see and what you hear,

1391
01:14:33,120 --> 01:14:35,479
Speaker 1: and more and more it is being revealed as fake.

1392
01:14:35,760 --> 01:14:38,000
Speaker 1: So spread the word because more of the legitimacy that

1393
01:14:38,080 --> 01:14:40,519
Speaker 1: they lose, the more ability there is in the future

1394
01:14:40,720 --> 01:14:42,519
Speaker 1: to change. I mean, Crystal, this is one of those

1395
01:14:42,600 --> 01:14:47,040
Speaker 1: tiny little inside things. I mean, nobody would eve. And

1396
01:14:47,240 --> 01:14:49,879
Speaker 1: if you want to hear my reaction to Sager's monologue,

1397
01:14:49,960 --> 01:14:56,000
Speaker 1: become a premium subscriber today at Breakingpoints dot com. Cristal,

1398
01:14:56,040 --> 01:14:57,960
Speaker 1: what are you taking a look at? Well, guys, something

1399
01:14:58,240 --> 01:15:01,960
Speaker 1: truly shocking happened during the pandemic. Some of the government

1400
01:15:02,000 --> 01:15:04,719
Speaker 1: relief programs instituted quickly to keep the nation from falling

1401
01:15:04,720 --> 01:15:08,000
Speaker 1: off a cliff they actually worked really well. Mind you,

1402
01:15:08,200 --> 01:15:10,040
Speaker 1: it was far from perfect. Workers would have been a

1403
01:15:10,080 --> 01:15:11,760
Speaker 1: lot less stressed if they'd been able to stay in

1404
01:15:11,800 --> 01:15:15,000
Speaker 1: their jobs. The unemployment system proved rickety and frustrating for

1405
01:15:15,080 --> 01:15:18,560
Speaker 1: a lot of people. Fed policies funneled trillions more in

1406
01:15:18,680 --> 01:15:20,479
Speaker 1: cash to the top than what was made available to

1407
01:15:20,520 --> 01:15:23,800
Speaker 1: the broader public. That fueled mass inequality. But certain things

1408
01:15:23,800 --> 01:15:27,200
Speaker 1: that were done, they actually worked, and they really actually

1409
01:15:27,280 --> 01:15:31,360
Speaker 1: helped the so called unemployment super dull effectively replaced income

1410
01:15:31,439 --> 01:15:33,639
Speaker 1: not just for wage jurders, but also for gig workers.

1411
01:15:34,040 --> 01:15:37,120
Speaker 1: The direct checks that families received went out pretty efficiently

1412
01:15:37,200 --> 01:15:40,080
Speaker 1: and gave households a much needed boost the child tax

1413
01:15:40,160 --> 01:15:42,880
Speaker 1: credit checks seemed to have also been a glowing success,

1414
01:15:43,000 --> 01:15:47,280
Speaker 1: dramatically reducing childhood poverty and also hunger. The net result

1415
01:15:47,720 --> 01:15:50,280
Speaker 1: was that during a time when mass joblessness was the norm,

1416
01:15:50,680 --> 01:15:54,599
Speaker 1: poverty actually went down and the amount in American savings

1417
01:15:54,600 --> 01:15:57,800
Speaker 1: accounts actually went up. What's more, in spite of being

1418
01:15:57,840 --> 01:16:00,559
Speaker 1: told four decades that giving people money in a bunch

1419
01:16:00,560 --> 01:16:03,679
Speaker 1: of lazy, indolent couch potatoes wasting their cash on booze

1420
01:16:03,680 --> 01:16:07,920
Speaker 1: and big screen televisions, people use the money quite responsibly. Personally,

1421
01:16:08,160 --> 01:16:10,000
Speaker 1: I don't really care what adults decide to do with

1422
01:16:10,040 --> 01:16:12,200
Speaker 1: their own money, but it turns out they used it

1423
01:16:12,280 --> 01:16:14,679
Speaker 1: to pay down bills, invest in education, and do similar

1424
01:16:14,760 --> 01:16:16,920
Speaker 1: sorts of things that I think everyone would feel were

1425
01:16:16,960 --> 01:16:20,760
Speaker 1: basically good uses of that extra cash. I thought that

1426
01:16:20,920 --> 01:16:24,240
Speaker 1: this whole situation, the government showing it can actually alleviate

1427
01:16:24,280 --> 01:16:27,720
Speaker 1: poverty and suffering when it wants to the public demonstrating

1428
01:16:27,760 --> 01:16:29,960
Speaker 1: they aren't, in fact just a bunch of impulsive children

1429
01:16:30,080 --> 01:16:32,600
Speaker 1: or lazy cows to be prodded, that all of this

1430
01:16:32,920 --> 01:16:36,880
Speaker 1: might actually change the game. I allowed myself to believe

1431
01:16:37,040 --> 01:16:40,240
Speaker 1: that perhaps the austerity politics that we have suffered through

1432
01:16:40,439 --> 01:16:44,000
Speaker 1: my entire life had suffered a fatal blow. I now

1433
01:16:44,080 --> 01:16:49,719
Speaker 1: believe that those hopes were ridiculously foolishly naive. As soon

1434
01:16:49,960 --> 01:16:53,000
Speaker 1: as a bit of the immediate pandemic crisis had abated,

1435
01:16:53,320 --> 01:16:56,719
Speaker 1: an organized attack on every aspect of these social spending

1436
01:16:56,800 --> 01:17:00,280
Speaker 1: programs was mounted. Taken together, it amounts to a war

1437
01:17:00,479 --> 01:17:02,960
Speaker 1: on the working class. First came the attacks on the

1438
01:17:03,040 --> 01:17:06,200
Speaker 1: unemployment program, which we were told confidently was the reason

1439
01:17:06,280 --> 01:17:08,840
Speaker 1: why the labor force participation rate remains stuck at a

1440
01:17:08,920 --> 01:17:12,519
Speaker 1: lower level. Those lazy workers would rather cash their superdal

1441
01:17:12,640 --> 01:17:15,400
Speaker 1: checks than get a job. Now, it made some sense,

1442
01:17:15,600 --> 01:17:18,040
Speaker 1: and it was echoed by the Biden administration, But when

1443
01:17:18,120 --> 01:17:20,679
Speaker 1: states moved to cut their programs, they found it made

1444
01:17:20,800 --> 01:17:24,519
Speaker 1: no difference at all. Data be damned, however, the federal

1445
01:17:24,600 --> 01:17:26,920
Speaker 1: government moved ahead with their own plans to allow all

1446
01:17:27,000 --> 01:17:30,479
Speaker 1: of those unemployment provisions to lapse. But the new attack

1447
01:17:30,560 --> 01:17:33,680
Speaker 1: on social spending and push for austerity has been far

1448
01:17:33,840 --> 01:17:36,800
Speaker 1: more successful in persuading the public because it actually does

1449
01:17:36,880 --> 01:17:39,360
Speaker 1: have a grain of truth to it. Deficit hawks have

1450
01:17:39,439 --> 01:17:43,679
Speaker 1: been predicting inflation for years, actually for decades. This time

1451
01:17:44,080 --> 01:17:47,360
Speaker 1: their predictions finally came true, and they have said about

1452
01:17:47,439 --> 01:17:50,759
Speaker 1: relentlessly making the case that social spending is the primary

1453
01:17:50,960 --> 01:17:53,640
Speaker 1: cause of that inflation. Now, the reason I say their

1454
01:17:53,920 --> 01:17:56,479
Speaker 1: arguments do have a grain of truth is because consumer

1455
01:17:56,520 --> 01:18:00,479
Speaker 1: spending has searched beyond pre pandemic levels. People are buying things,

1456
01:18:00,520 --> 01:18:03,400
Speaker 1: and since our fragile globalized supply chain has broken down

1457
01:18:03,479 --> 01:18:07,479
Speaker 1: in key ways, that spending, combined with those supply chain issues,

1458
01:18:07,680 --> 01:18:11,200
Speaker 1: has contributed to increased prices. Then, on top of that,

1459
01:18:11,320 --> 01:18:14,400
Speaker 1: as we've been discussing here, large corporations have seized on

1460
01:18:14,479 --> 01:18:18,040
Speaker 1: inflation as an excuse to further raise their prices even

1461
01:18:18,160 --> 01:18:21,479
Speaker 1: more and fatten their profit margins, accounting for some sixty

1462
01:18:21,560 --> 01:18:24,960
Speaker 1: percent of the increase in inflation. But rather than deal

1463
01:18:25,040 --> 01:18:28,439
Speaker 1: with these supply chain issues or corporate greed issues, deficit

1464
01:18:28,560 --> 01:18:31,280
Speaker 1: hawks are coming after the meager benefits that have been

1465
01:18:31,320 --> 01:18:35,559
Speaker 1: provided to regular people. Imagine thinking that the biggest problem

1466
01:18:35,600 --> 01:18:38,479
Speaker 1: in the economy is working class people having a tiny

1467
01:18:38,840 --> 01:18:42,000
Speaker 1: bit of savings in their accounts. Now, Joe Manchin has

1468
01:18:42,040 --> 01:18:44,960
Speaker 1: been the greatest ally for those committed to social spending austerity.

1469
01:18:45,120 --> 01:18:47,880
Speaker 1: In his decision to act as Corporate America's tool and

1470
01:18:48,080 --> 01:18:51,120
Speaker 1: kill build back better, he cited both inflation and also

1471
01:18:51,240 --> 01:18:54,839
Speaker 1: a new version of the old welfare. Queen Lie Mansion claimed,

1472
01:18:55,200 --> 01:18:58,360
Speaker 1: counter to all evidence, that parents were routinely using their

1473
01:18:58,400 --> 01:19:01,400
Speaker 1: child tax credit dollars to buy drugs. In an interview

1474
01:19:01,439 --> 01:19:03,720
Speaker 1: with The New York Times, one of Mansion's own constituents,

1475
01:19:03,760 --> 01:19:06,439
Speaker 1: a mother named Anna Lara, She explained that she had

1476
01:19:06,560 --> 01:19:09,599
Speaker 1: used the extra child tax credit money not for drugs,

1477
01:19:09,840 --> 01:19:12,400
Speaker 1: but to fix the brakes on her car, stock up

1478
01:19:12,479 --> 01:19:14,840
Speaker 1: on laundry detergent when it was on sale, and get

1479
01:19:14,880 --> 01:19:17,680
Speaker 1: a new car seat for her daughter. The end of

1480
01:19:17,800 --> 01:19:21,320
Speaker 1: that child tax credit program has made Lara extremely anxious.

1481
01:19:22,640 --> 01:19:25,120
Speaker 1: She says, quote, it's going to be hard next month,

1482
01:19:25,280 --> 01:19:27,320
Speaker 1: and just thinking about it, it really makes me want

1483
01:19:27,320 --> 01:19:29,840
Speaker 1: to bite my nails to the quick. Honestly, it's going

1484
01:19:29,920 --> 01:19:32,080
Speaker 1: to be scary. It's going to be hard going back

1485
01:19:32,120 --> 01:19:35,439
Speaker 1: to not having it so now. Instead the pandemic crisis

1486
01:19:35,439 --> 01:19:37,880
Speaker 1: fueling an expansion of the social safety net that could

1487
01:19:37,920 --> 01:19:39,679
Speaker 1: bring us part of the way towards where the rest

1488
01:19:39,720 --> 01:19:42,240
Speaker 1: of the developed world is on issues like family support

1489
01:19:42,320 --> 01:19:45,640
Speaker 1: and issues like paid leave. Inflation is being weaponized to

1490
01:19:45,720 --> 01:19:51,439
Speaker 1: push us in exactly the opposite direction. Austerity politics are back, Folks.

1491
01:19:51,760 --> 01:19:54,280
Speaker 1: Twenty twenty two will be the year when the final

1492
01:19:54,360 --> 01:19:57,559
Speaker 1: pandemic supports things like the student loan repayment deferral, when

1493
01:19:57,640 --> 01:20:00,439
Speaker 1: those things are pulled, and the new child tax X credit,

1494
01:20:00,680 --> 01:20:03,160
Speaker 1: which was supposed to be made into a permanent program,

1495
01:20:03,479 --> 01:20:06,479
Speaker 1: has already been smothered in the cradle, I would not

1496
01:20:06,640 --> 01:20:09,200
Speaker 1: at all be surprised if serious calls to make further

1497
01:20:09,360 --> 01:20:12,599
Speaker 1: social spending cuts are what comes next, and this return

1498
01:20:12,680 --> 01:20:15,880
Speaker 1: to austerity, it couldn't come at a worse time. For

1499
01:20:16,000 --> 01:20:18,519
Speaker 1: low income Americans. Whatever a little cushion they might have

1500
01:20:18,640 --> 01:20:21,880
Speaker 1: had has been spent down. The wild, infectious spread of

1501
01:20:21,920 --> 01:20:25,719
Speaker 1: omicron is hobbling the economy. Price increases are making life

1502
01:20:25,880 --> 01:20:29,280
Speaker 1: even more difficult. Large portions of the American public say

1503
01:20:29,320 --> 01:20:32,120
Speaker 1: they are worse off financially this year than they were

1504
01:20:32,240 --> 01:20:35,960
Speaker 1: last year. Austerity is not the cure to what ails us.

1505
01:20:36,200 --> 01:20:40,479
Speaker 1: Austerity is what ails us. For forty years, we've seen

1506
01:20:40,640 --> 01:20:43,000
Speaker 1: how this mindset on social spending has led to poverty,

1507
01:20:43,080 --> 01:20:46,760
Speaker 1: led to inequality, led to a crumbling society and democracy.

1508
01:20:47,280 --> 01:20:50,559
Speaker 1: But from the perspective of elites, something even worse happened

1509
01:20:50,680 --> 01:20:54,759
Speaker 1: when we dabbled in actually supporting the public. Workers started

1510
01:20:54,840 --> 01:20:57,720
Speaker 1: to claim a modicum of power. No wonder then that

1511
01:20:57,840 --> 01:21:02,280
Speaker 1: elites are pushing back, ushering in austerity with a vengeance.

1512
01:21:02,600 --> 01:21:04,920
Speaker 1: They will not be satisfied until you've stopped all the

1513
01:21:04,960 --> 01:21:08,240
Speaker 1: strikes and all the resignations and the union efforts and

1514
01:21:08,360 --> 01:21:11,000
Speaker 1: been forced to comply with your role in the low

1515
01:21:11,120 --> 01:21:14,080
Speaker 1: paid servant class. And it struck me, sire, And we

1516
01:21:14,200 --> 01:21:16,759
Speaker 1: talked about this a lot of how especially the direct

1517
01:21:16,880 --> 01:21:19,479
Speaker 1: checks the fact that the government did and if you

1518
01:21:19,520 --> 01:21:22,240
Speaker 1: want to hear my reaction to Crystal's monologue, become a

1519
01:21:22,320 --> 01:21:28,519
Speaker 1: premium subscriber today at Breakingpoints dot com. Joining us now,

1520
01:21:28,560 --> 01:21:30,840
Speaker 1: great friend of the show, Richard Hannania. He is out

1521
01:21:30,920 --> 01:21:33,559
Speaker 1: with a new book, Public Choice Theory and the Illusion

1522
01:21:33,600 --> 01:21:36,160
Speaker 1: of Grand Strategy. Richard's been a great source of this show,

1523
01:21:36,240 --> 01:21:39,880
Speaker 1: particularly during the Afghanistan debacle. There was one story he

1524
01:21:39,920 --> 01:21:41,439
Speaker 1: wanted to get his take on, but also to talk

1525
01:21:41,439 --> 01:21:43,120
Speaker 1: about his book. So let's put that up there on

1526
01:21:43,240 --> 01:21:47,280
Speaker 1: the screen. Who won in Afghanistan? Well, it's private contractors.

1527
01:21:47,360 --> 01:21:50,360
Speaker 1: It turns out, netted trillions of dollars while they were

1528
01:21:50,400 --> 01:21:52,599
Speaker 1: over there. Richard, talk to us a little bit about

1529
01:21:52,640 --> 01:21:55,439
Speaker 1: that and tie it to your fantastic book, which, thank

1530
01:21:55,439 --> 01:21:59,040
Speaker 1: you very much, by the way for sending it to us. Yeah. Absolutely,

1531
01:21:59,120 --> 01:22:01,719
Speaker 1: So Bye book argues, you know, I've been studying international

1532
01:22:01,800 --> 01:22:04,160
Speaker 1: relations sort of as you guys are, as just a

1533
01:22:04,240 --> 01:22:08,000
Speaker 1: consumer of the news, but also academically, and so I've read,

1534
01:22:08,040 --> 01:22:10,799
Speaker 1: you know, pretty much, you know, the all the important

1535
01:22:10,840 --> 01:22:13,600
Speaker 1: thinkers in international relations, the theories about what we're supposedly

1536
01:22:13,680 --> 01:22:16,400
Speaker 1: doing overseas, and I think I think that, you know,

1537
01:22:16,680 --> 01:22:18,960
Speaker 1: we just came to the conclusion that people are basically

1538
01:22:19,040 --> 01:22:20,840
Speaker 1: thinking about the whole thing wrong, whether they think the

1539
01:22:21,000 --> 01:22:23,639
Speaker 1: US should have a prominent role in world affairs, whether

1540
01:22:23,680 --> 01:22:26,200
Speaker 1: they believe in support this war or that war. I

1541
01:22:26,280 --> 01:22:27,800
Speaker 1: think that the problem is, you know, we think that

1542
01:22:27,920 --> 01:22:30,240
Speaker 1: there there's actually somebody in charge, that there is a

1543
01:22:30,320 --> 01:22:33,360
Speaker 1: grand strategy where sort of like wise men are sitting

1544
01:22:33,400 --> 01:22:35,479
Speaker 1: around and sort of determining what the US should be

1545
01:22:35,560 --> 01:22:38,280
Speaker 1: doing about Afghanistan, about Iraq, about the rise of China,

1546
01:22:38,880 --> 01:22:41,519
Speaker 1: about any any number of things. And you know, I

1547
01:22:41,600 --> 01:22:44,519
Speaker 1: don't think that that's actually what's happening. I think that

1548
01:22:44,600 --> 01:22:47,280
Speaker 1: we're I think the I think Afghanistan is such a

1549
01:22:47,320 --> 01:22:49,439
Speaker 1: good way to sort of introduce people to the rest

1550
01:22:49,520 --> 01:22:53,000
Speaker 1: of what foreign policy is like, because the because the

1551
01:22:53,080 --> 01:22:56,640
Speaker 1: mistakes and the blunders and the sort of disastrous how

1552
01:22:56,720 --> 01:22:59,920
Speaker 1: disastrous it is, and and the waste and everything else.

1553
01:23:00,000 --> 01:23:02,040
Speaker 1: I mean, it's just so obvious and it's so clear.

1554
01:23:02,240 --> 01:23:05,880
Speaker 1: It's been like that for twenty years. So yeah, that money,

1555
01:23:05,920 --> 01:23:09,480
Speaker 1: I mean that money in Afghanistan, the war of Afghanistan,

1556
01:23:09,680 --> 01:23:11,479
Speaker 1: just like the war in Iraq, the money runs into

1557
01:23:11,520 --> 01:23:14,600
Speaker 1: the spending runs into the trillions. A lot of it

1558
01:23:14,880 --> 01:23:17,799
Speaker 1: was government contractors, and the government contractors would do everything

1559
01:23:17,840 --> 01:23:21,200
Speaker 1: from built you know, built girls girls schools, to supply

1560
01:23:21,360 --> 01:23:26,320
Speaker 1: the US Bass to you know, UH, to provide security.

1561
01:23:26,720 --> 01:23:29,639
Speaker 1: And these people got very, very wealthy. I mean, these people,

1562
01:23:29,840 --> 01:23:32,760
Speaker 1: these people are one of the reasons why Washington d

1563
01:23:32,880 --> 01:23:36,160
Speaker 1: C has now has now all the basically every single

1564
01:23:36,240 --> 01:23:38,519
Speaker 1: one of the large wealthiest counties in the country are

1565
01:23:38,520 --> 01:23:41,320
Speaker 1: around Washington, d C. I think this is these people

1566
01:23:41,320 --> 01:23:43,840
Speaker 1: who made money off of Afghanistan, who made money off Iraq.

1567
01:23:44,040 --> 01:23:47,120
Speaker 1: We left Afghanistan and the same people are as in charge,

1568
01:23:47,200 --> 01:23:49,680
Speaker 1: are in charge as as they were when we when

1569
01:23:49,720 --> 01:23:53,280
Speaker 1: we originally went in. But yeah, I think foreign policy,

1570
01:23:53,320 --> 01:23:55,639
Speaker 1: I mean I think it demonstrates foreign policy is working.

1571
01:23:55,720 --> 01:23:57,360
Speaker 1: I mean, you could look at Iraq too, you say,

1572
01:23:57,400 --> 01:23:59,360
Speaker 1: what what did we gate out of Iraq. Well, it

1573
01:23:59,400 --> 01:24:03,200
Speaker 1: didn't work there. There's no actual tangible benefit you can

1574
01:24:03,320 --> 01:24:06,360
Speaker 1: point to for the American people there. But go, you know,

1575
01:24:06,479 --> 01:24:08,280
Speaker 1: look up every single person who is involved in the

1576
01:24:08,320 --> 01:24:09,920
Speaker 1: Iraq word. What are they doing now? Or they're not.

1577
01:24:10,040 --> 01:24:13,559
Speaker 1: They're not in jail, they're not, they're not. Haven't suffered

1578
01:24:13,600 --> 01:24:15,760
Speaker 1: any financial harmful for what's went on to lead the

1579
01:24:15,800 --> 01:24:18,439
Speaker 1: World Bank. Some of them are at the Hotson Institute,

1580
01:24:18,479 --> 01:24:20,760
Speaker 1: where people still tell us about what we should do

1581
01:24:20,800 --> 01:24:23,960
Speaker 1: on foreign policy next. So if you understand foreign policy

1582
01:24:24,040 --> 01:24:26,280
Speaker 1: this way, and this is a theme of my books,

1583
01:24:26,360 --> 01:24:28,599
Speaker 1: it's working. It's working the way you know, the system

1584
01:24:28,840 --> 01:24:32,120
Speaker 1: is designed for certain interests and it's helping those interests

1585
01:24:32,160 --> 01:24:34,320
Speaker 1: and it's sort of working as designed. While if you

1586
01:24:34,360 --> 01:24:36,439
Speaker 1: think of in terms of national interest, you're going to

1587
01:24:36,479 --> 01:24:39,760
Speaker 1: be constantly confused by what we're doing overseas. Right, that's

1588
01:24:39,840 --> 01:24:41,720
Speaker 1: so well said. I mean, it seems to me that

1589
01:24:42,600 --> 01:24:45,519
Speaker 1: the people who get richest in Washington are the people

1590
01:24:45,560 --> 01:24:48,040
Speaker 1: who are willing to do the sketchiest stuff. So whether

1591
01:24:48,080 --> 01:24:51,680
Speaker 1: it's like war profiteering or selling yourself to the sketchiest

1592
01:24:51,760 --> 01:24:54,360
Speaker 1: possible foreign governments, those are the people who get really

1593
01:24:54,479 --> 01:24:56,320
Speaker 1: rich in this area. I think we have the book

1594
01:24:56,360 --> 01:24:58,000
Speaker 1: jacket we can put up on the screen. It's called

1595
01:24:58,040 --> 01:25:01,559
Speaker 1: public choice theory and the illusion of Grant's strategy. How generals,

1596
01:25:01,680 --> 01:25:07,200
Speaker 1: weapons manufacturers, and for governments shape American foreign policy. So, Richard,

1597
01:25:07,439 --> 01:25:11,439
Speaker 1: take us through Afghanistan as a great case example here.

1598
01:25:11,960 --> 01:25:15,160
Speaker 1: I mean, how were these decisions made? How's the decision

1599
01:25:15,160 --> 01:25:17,320
Speaker 1: initially made to go? And how's the decision made to

1600
01:25:17,479 --> 01:25:20,840
Speaker 1: just continue and stay the course and lie to people

1601
01:25:21,280 --> 01:25:23,920
Speaker 1: and continue in this direction that we know has been

1602
01:25:24,120 --> 01:25:28,000
Speaker 1: and ultimately was a complete failure. Yeah. So I mean

1603
01:25:28,200 --> 01:25:29,760
Speaker 1: when we asked the question, you know, how was the

1604
01:25:29,840 --> 01:25:33,080
Speaker 1: decision made? It implies that a decision was made, and

1605
01:25:33,280 --> 01:25:36,320
Speaker 1: really it basically wasn't. And you don't have to take

1606
01:25:36,400 --> 01:25:38,519
Speaker 1: my word for it. I mean I go through Iraq

1607
01:25:38,520 --> 01:25:41,880
Speaker 1: at Afghanistan. I have quotes from people who are involved

1608
01:25:41,920 --> 01:25:44,640
Speaker 1: in these decisions, and they themselves will tell you we

1609
01:25:44,800 --> 01:25:46,400
Speaker 1: never talked about it. What were we going to do

1610
01:25:46,400 --> 01:25:48,320
Speaker 1: in Afghanistan? You know, nine to eleven, you know something,

1611
01:25:48,400 --> 01:25:50,000
Speaker 1: you know, it happened. We wanted to go back. We

1612
01:25:50,000 --> 01:25:51,599
Speaker 1: want to get revenge, We wanted to bring the people

1613
01:25:51,640 --> 01:25:53,479
Speaker 1: to justice. So they went, they went into they went

1614
01:25:53,479 --> 01:25:56,160
Speaker 1: into Afghanistan and there was just no planning about what

1615
01:25:56,200 --> 01:25:59,920
Speaker 1: would happen after They basically ended up drawing a constant.

1616
01:26:00,960 --> 01:26:03,599
Speaker 1: It was done by people in like the State Department

1617
01:26:03,720 --> 01:26:06,000
Speaker 1: and UN types who have this you know, standard idea

1618
01:26:06,000 --> 01:26:07,720
Speaker 1: of what makes a good government. So they just sort

1619
01:26:07,760 --> 01:26:10,600
Speaker 1: of implemented that on Afghanistan. We went, we worked with

1620
01:26:10,680 --> 01:26:13,240
Speaker 1: the warlords, and then you know, the US troops were

1621
01:26:13,280 --> 01:26:16,200
Speaker 1: just basically walking around and not not doing much and

1622
01:26:16,439 --> 01:26:18,320
Speaker 1: you know, there wasn't actually that violent for the for

1623
01:26:18,439 --> 01:26:22,679
Speaker 1: the first few years Bush administration attention uh switched over

1624
01:26:22,760 --> 01:26:25,360
Speaker 1: to Iraq, and then Iraq is an entire different story.

1625
01:26:25,439 --> 01:26:27,479
Speaker 1: But yeah, this is basically what happened. And then Obama

1626
01:26:27,560 --> 01:26:29,880
Speaker 1: comes in, you know, a decade later, after this sort

1627
01:26:29,880 --> 01:26:32,679
Speaker 1: of drift, and he sort of is skeptical of the mission.

1628
01:26:33,160 --> 01:26:35,280
Speaker 1: The generals they go and they basically do a full

1629
01:26:35,320 --> 01:26:38,280
Speaker 1: on pr campaign. They're they're teaming up with Congress and saying,

1630
01:26:38,320 --> 01:26:39,719
Speaker 1: you know, this is going to be a big disaster

1631
01:26:39,840 --> 01:26:42,519
Speaker 1: for you know, Obama doesn't double down, this is going

1632
01:26:42,600 --> 01:26:44,720
Speaker 1: to be a disaster for the country. There's good there's

1633
01:26:44,720 --> 01:26:47,560
Speaker 1: gonna be the terrorist threats going to go up, and

1634
01:26:47,720 --> 01:26:50,240
Speaker 1: they're leaking things to the Washington Post and other papers,

1635
01:26:50,600 --> 01:26:53,519
Speaker 1: and Obama decides to stay Trump. It's the it's the

1636
01:26:53,560 --> 01:26:56,000
Speaker 1: exact same story. I mean, that's so fascinating. He comes

1637
01:26:56,040 --> 01:26:59,000
Speaker 1: in and he's skeptical, and they basically just you know,

1638
01:26:59,320 --> 01:27:01,720
Speaker 1: bully him and eat them down until he decides to

1639
01:27:01,840 --> 01:27:04,240
Speaker 1: continue on. And they try to do the same thing

1640
01:27:04,280 --> 01:27:06,160
Speaker 1: with Biden. And you know, you can see how the

1641
01:27:06,840 --> 01:27:09,920
Speaker 1: the justification changes throughout the you know, throughout the whole process.

1642
01:27:10,000 --> 01:27:12,560
Speaker 1: So first it was terrorism, then you had then you

1643
01:27:12,680 --> 01:27:15,560
Speaker 1: had the Bush doctrine. It became sort of folded in

1644
01:27:15,640 --> 01:27:17,920
Speaker 1: with Iraq, the Bush doctrine, the idea that you need

1645
01:27:17,960 --> 01:27:20,839
Speaker 1: to democratize the world, or at least the Muslim countries.

1646
01:27:21,000 --> 01:27:23,680
Speaker 1: That started because they couldn't find the WMDs. Nobody talked

1647
01:27:23,720 --> 01:27:25,960
Speaker 1: about this before there was no wmd so Bush sort

1648
01:27:25,960 --> 01:27:28,599
Speaker 1: of needed a reason to for Iraq to still makes sense.

1649
01:27:28,640 --> 01:27:31,559
Speaker 1: Afghanistans sort of got caught up in that, and then

1650
01:27:31,800 --> 01:27:34,200
Speaker 1: basically and then you know, and then in twenty twenty,

1651
01:27:34,200 --> 01:27:36,799
Speaker 1: we're talking about women's rights in China and you know, whatever,

1652
01:27:36,840 --> 01:27:38,639
Speaker 1: they're just throwing it whatever they can against the wall

1653
01:27:38,720 --> 01:27:41,240
Speaker 1: and seeing whatever sticks. So a lot of stuff works

1654
01:27:41,360 --> 01:27:43,839
Speaker 1: like this. Basically, you have these interests, they want a policy,

1655
01:27:44,320 --> 01:27:47,040
Speaker 1: and they're reverse engineering whatever arguments they want to make

1656
01:27:47,400 --> 01:27:50,479
Speaker 1: around the policy. And the policy is always keep doing

1657
01:27:50,520 --> 01:27:52,599
Speaker 1: what we're doing. If we have a committed to a country,

1658
01:27:52,680 --> 01:27:54,880
Speaker 1: or we're in a certain we're a certain region of

1659
01:27:54,920 --> 01:27:56,120
Speaker 1: the world, we have to stay. You know. One of

1660
01:27:56,160 --> 01:27:58,000
Speaker 1: the one of the things I point out in my book,

1661
01:27:58,040 --> 01:27:59,960
Speaker 1: and this is you know, very interesting that if you

1662
01:28:00,080 --> 01:28:02,240
Speaker 1: look at the countries where that have the most US

1663
01:28:02,320 --> 01:28:04,960
Speaker 1: troops right now, they're the same countries that were that

1664
01:28:05,040 --> 01:28:07,240
Speaker 1: had the most US troops station there in nineteen fifty.

1665
01:28:07,400 --> 01:28:10,800
Speaker 1: So it's Germany, Italy, Japan, South Korea. So the US

1666
01:28:10,880 --> 01:28:13,760
Speaker 1: is still occupying the access powers and basically fighting the

1667
01:28:13,840 --> 01:28:16,439
Speaker 1: Korean War, right and I think, you know, fifty sixty

1668
01:28:16,560 --> 01:28:18,479
Speaker 1: years from now, we could still be doing the exact

1669
01:28:18,479 --> 01:28:20,240
Speaker 1: same thing, and everyone will have a reason why we

1670
01:28:20,320 --> 01:28:22,640
Speaker 1: need to be in Germany, Italy, Italy, Japan. I mean,

1671
01:28:23,120 --> 01:28:25,200
Speaker 1: we have to think what Crystal said, you know, the

1672
01:28:25,320 --> 01:28:27,720
Speaker 1: people willing to do sketchy things, I think they're people who,

1673
01:28:28,600 --> 01:28:31,000
Speaker 1: you know, I think it's selects for that, yes, but

1674
01:28:31,120 --> 01:28:34,640
Speaker 1: also for people who are able to convince themselves you

1675
01:28:34,720 --> 01:28:36,640
Speaker 1: know what they need to believe. So I think I

1676
01:28:36,680 --> 01:28:41,479
Speaker 1: love these foreign policy people are are sincere, but it's

1677
01:28:41,600 --> 01:28:43,360
Speaker 1: very easy to predict what their views are going to

1678
01:28:43,400 --> 01:28:44,880
Speaker 1: be because all you have to do is think, well,

1679
01:28:44,960 --> 01:28:46,720
Speaker 1: you know, whatever the US is doing right now has

1680
01:28:46,760 --> 01:28:48,680
Speaker 1: to be kept so done, and you're usually going to

1681
01:28:48,720 --> 01:28:50,519
Speaker 1: be corrector you're usually going to be able to predict

1682
01:28:50,520 --> 01:28:54,000
Speaker 1: their views at any particular issue. Well, that's actually what

1683
01:28:54,080 --> 01:28:56,200
Speaker 1: I wanted to follow up with. Isn't just as simple

1684
01:28:56,240 --> 01:28:59,080
Speaker 1: as follow the money or is it follow the money

1685
01:28:59,280 --> 01:29:02,680
Speaker 1: and the power and the ideology? Like what are the

1686
01:29:02,840 --> 01:29:06,720
Speaker 1: interests actually at stake here? I think we, I mean

1687
01:29:06,760 --> 01:29:10,360
Speaker 1: I think we we really underplay the money because you know,

1688
01:29:10,600 --> 01:29:12,840
Speaker 1: I don't think money is everything. I think power and

1689
01:29:12,920 --> 01:29:16,040
Speaker 1: the ideology is very important. But look, the money, the

1690
01:29:16,120 --> 01:29:18,880
Speaker 1: money is absolutely huge. So when you have basically every

1691
01:29:18,960 --> 01:29:21,160
Speaker 1: three and four star general now when retiring, going to

1692
01:29:21,240 --> 01:29:23,560
Speaker 1: work for a defense contractor it's one hundred percent or

1693
01:29:23,560 --> 01:29:27,400
Speaker 1: close to it. In the last decade decade and a half, basically,

1694
01:29:27,479 --> 01:29:29,160
Speaker 1: you know, anytime you see a general, he's going to

1695
01:29:29,200 --> 01:29:30,519
Speaker 1: be going he's gonna you know, and he's near the

1696
01:29:30,600 --> 01:29:31,720
Speaker 1: end of his career. He's gonna be working for a

1697
01:29:31,760 --> 01:29:34,680
Speaker 1: weapons manufacturer or some kind of government contractors soon. So

1698
01:29:34,760 --> 01:29:36,680
Speaker 1: in any other industry, we sort of look at this

1699
01:29:36,760 --> 01:29:39,800
Speaker 1: and we get suspicious. There was a post story I

1700
01:29:39,920 --> 01:29:42,840
Speaker 1: was involved in where they basically they talked about this

1701
01:29:42,920 --> 01:29:44,680
Speaker 1: that these people are you know, they're on boards of

1702
01:29:44,840 --> 01:29:46,960
Speaker 1: you know, Boeing or whatever corporation, and they're not being

1703
01:29:47,000 --> 01:29:51,080
Speaker 1: introduced with with They're not being introduced by people. Tell

1704
01:29:51,120 --> 01:29:53,920
Speaker 1: him this is actually a corporate representative. Nicki Haley when

1705
01:29:53,920 --> 01:29:55,640
Speaker 1: she was on Boweing, I think she I think she uh,

1706
01:29:56,520 --> 01:29:58,080
Speaker 1: she left the board. But when she was there, you know,

1707
01:29:58,120 --> 01:30:00,880
Speaker 1: they say you Nicky Haley's former un investador. They wouldn't

1708
01:30:00,880 --> 01:30:03,519
Speaker 1: say Nicky Hilly, you know, current board member of Boeing.

1709
01:30:04,080 --> 01:30:06,280
Speaker 1: So the money is important and the ideology works with it,

1710
01:30:06,360 --> 01:30:08,160
Speaker 1: because I think the what the money does is it

1711
01:30:08,240 --> 01:30:11,120
Speaker 1: follows the people with the correct ideology. So it's both.

1712
01:30:11,160 --> 01:30:13,240
Speaker 1: So I think someone like you know, John Bolton. It's

1713
01:30:13,240 --> 01:30:15,880
Speaker 1: funny when you read John Bolton's memoir. You know he's

1714
01:30:15,920 --> 01:30:17,880
Speaker 1: talking about like how busy he is because all these

1715
01:30:17,920 --> 01:30:20,280
Speaker 1: corporate like consultants want him and like he's going to

1716
01:30:20,320 --> 01:30:21,920
Speaker 1: being on He's on the phone and having to juggle

1717
01:30:22,000 --> 01:30:23,760
Speaker 1: like all these commitments just because he's like such a

1718
01:30:23,840 --> 01:30:27,320
Speaker 1: hid in business. I think, you know, I think he believes,

1719
01:30:27,520 --> 01:30:29,880
Speaker 1: you know, I think he believes in something. You know,

1720
01:30:29,960 --> 01:30:31,800
Speaker 1: he seems to love war more than you know, even

1721
01:30:31,840 --> 01:30:35,680
Speaker 1: his self interest would would recommend. But it's people like

1722
01:30:35,760 --> 01:30:37,280
Speaker 1: that who are going to rise to the top because

1723
01:30:37,320 --> 01:30:39,240
Speaker 1: they have the right ideology to be supported with the

1724
01:30:39,280 --> 01:30:41,800
Speaker 1: people with the resources and power. So you know, you

1725
01:30:41,880 --> 01:30:43,880
Speaker 1: can't say, really it's either or I think you need

1726
01:30:43,960 --> 01:30:46,840
Speaker 1: both to make for American foreign policy. It's so true.

1727
01:30:46,920 --> 01:30:49,280
Speaker 1: You know, I suffered through a master's program in American

1728
01:30:49,320 --> 01:30:51,320
Speaker 1: foreign policy, came up with a lot of these people.

1729
01:30:51,400 --> 01:30:53,760
Speaker 1: I've filtered through some of the institutions that you talk about,

1730
01:30:53,840 --> 01:30:55,720
Speaker 1: and you're exactly right, which is that the money and

1731
01:30:55,800 --> 01:30:58,880
Speaker 1: the success. What happens is you just get elevated and

1732
01:30:59,320 --> 01:31:02,439
Speaker 1: helped and propelled and more. If you happen to have

1733
01:31:02,920 --> 01:31:05,479
Speaker 1: this right ideology, it's like a thing that follows you

1734
01:31:06,240 --> 01:31:07,800
Speaker 1: all the way up to the top, and you get

1735
01:31:07,880 --> 01:31:09,959
Speaker 1: very comfortable. You don't want to question a lot of assumptions,

1736
01:31:10,000 --> 01:31:11,800
Speaker 1: and if you do change your mind, well it's not

1737
01:31:11,960 --> 01:31:14,840
Speaker 1: very convenient for you to do. So something that struck

1738
01:31:14,880 --> 01:31:16,960
Speaker 1: out to me that you wrote here which I loved,

1739
01:31:17,120 --> 01:31:20,640
Speaker 1: is American foreign policy is better explained by assuming individuals

1740
01:31:20,720 --> 01:31:23,720
Speaker 1: within the system seek out their own personal gain rather

1741
01:31:23,800 --> 01:31:27,439
Speaker 1: than assuming actors work towards goals consistent with some conception

1742
01:31:27,640 --> 01:31:30,320
Speaker 1: of the national interests. Can you elaborate on that in

1743
01:31:30,479 --> 01:31:32,960
Speaker 1: terms of the deep state and how and why we

1744
01:31:33,080 --> 01:31:35,479
Speaker 1: get the terrible foreign policy outcomes that we do get.

1745
01:31:35,640 --> 01:31:39,479
Speaker 1: Why is that selfish for them to do so? So, yeah,

1746
01:31:39,600 --> 01:31:42,080
Speaker 1: it's so you know, you have to think about what

1747
01:31:42,680 --> 01:31:44,240
Speaker 1: are the goals of the system. And the goals of

1748
01:31:44,280 --> 01:31:47,120
Speaker 1: the system doesn't mean someone designed the system this way,

1749
01:31:47,240 --> 01:31:49,320
Speaker 1: but you know, you're thinking about the constituent parts and

1750
01:31:49,400 --> 01:31:52,120
Speaker 1: you're thinking about sort of you know, what people's individual

1751
01:31:52,920 --> 01:31:55,880
Speaker 1: incentives are. So people are getting very very wealthy off

1752
01:31:55,880 --> 01:31:58,280
Speaker 1: of American foreign policy. I mean, the Pentagon budget is

1753
01:31:58,320 --> 01:32:01,080
Speaker 1: a seven hundred h so that hundred something billion a year.

1754
01:32:01,120 --> 01:32:02,920
Speaker 1: I think it might have reached eight hundred billion by now.

1755
01:32:03,080 --> 01:32:05,160
Speaker 1: And that's just for the budget. When then when there's

1756
01:32:05,160 --> 01:32:07,600
Speaker 1: a war going on, it's it's much higher because we

1757
01:32:07,680 --> 01:32:10,439
Speaker 1: need to you know, they're supplemental funding going to Iraq

1758
01:32:10,520 --> 01:32:13,599
Speaker 1: or Afghanistan. That money you know that money goes somewhere,

1759
01:32:13,640 --> 01:32:15,760
Speaker 1: and that goes that money goes into people's pockets, and

1760
01:32:15,840 --> 01:32:18,280
Speaker 1: it's you know, it's not just it's just you know,

1761
01:32:18,360 --> 01:32:21,600
Speaker 1: sort of imply that it's just money. It's also prestige

1762
01:32:21,680 --> 01:32:24,320
Speaker 1: and status. I mean, these people like uh, you know,

1763
01:32:24,400 --> 01:32:27,320
Speaker 1: Stanley McCrystal and hr McMaster. You know, they become they

1764
01:32:27,400 --> 01:32:30,320
Speaker 1: become sort of celebrities and they're they're brought on MSNBC

1765
01:32:30,560 --> 01:32:32,640
Speaker 1: after they're retired, and they're you know, they're they're uh,

1766
01:32:33,000 --> 01:32:34,760
Speaker 1: you know, they're talk to like their wise men who

1767
01:32:34,800 --> 01:32:37,559
Speaker 1: have a lot to tell us about uh that they

1768
01:32:37,600 --> 01:32:39,040
Speaker 1: have a lot to tell us about, you know, the

1769
01:32:39,120 --> 01:32:43,000
Speaker 1: world and geopolitics. You know. I think there's the politicians

1770
01:32:43,000 --> 01:32:45,439
Speaker 1: and the voters too. I think that's another important part

1771
01:32:45,479 --> 01:32:48,760
Speaker 1: of the analysis. I think what happened in UH with

1772
01:32:49,360 --> 01:32:51,080
Speaker 1: the war on terror is I think that the Bush

1773
01:32:51,120 --> 01:32:54,120
Speaker 1: administration understood very early on that keeping the war on

1774
01:32:54,240 --> 01:32:57,280
Speaker 1: Terror going people, getting people scared was good for George

1775
01:32:57,320 --> 01:33:00,920
Speaker 1: Bush's a political prospect. He was percent approval. I think

1776
01:33:00,960 --> 01:33:02,720
Speaker 1: if he said, you know, if he went into Afghanistan

1777
01:33:02,840 --> 01:33:04,479
Speaker 1: over through the Taliban and said, you know, this whole

1778
01:33:04,520 --> 01:33:06,280
Speaker 1: thing is over, he probably would have been ended up

1779
01:33:06,320 --> 01:33:08,439
Speaker 1: like his father, who ended the Gulf War too early.

1780
01:33:08,479 --> 01:33:10,719
Speaker 1: You know, I think that of course HW Bush stayed

1781
01:33:10,760 --> 01:33:12,519
Speaker 1: in Iraq for a while, he could probably would have

1782
01:33:12,520 --> 01:33:14,519
Speaker 1: had a better chance of winning re election, right, people

1783
01:33:14,560 --> 01:33:16,880
Speaker 1: would have been moved on to something else. So I

1784
01:33:16,960 --> 01:33:19,200
Speaker 1: think that these you know, sort of these instincts. I

1785
01:33:19,200 --> 01:33:20,960
Speaker 1: think there's a you know, there's sort of a there's

1786
01:33:21,000 --> 01:33:22,600
Speaker 1: a you know, there's a psychology at sort of the

1787
01:33:22,680 --> 01:33:25,000
Speaker 1: mass level. I think Americans have been conditioned to think

1788
01:33:25,040 --> 01:33:27,439
Speaker 1: of every problem in the world as their own and

1789
01:33:27,680 --> 01:33:29,439
Speaker 1: to sort of, you know, see, is it a little

1790
01:33:29,479 --> 01:33:31,760
Speaker 1: bit weird if politicians are not sort of policing the

1791
01:33:31,800 --> 01:33:33,519
Speaker 1: world at this point? And I think there's a lot

1792
01:33:33,560 --> 01:33:36,600
Speaker 1: of people in the media who who who are you know,

1793
01:33:36,680 --> 01:33:38,160
Speaker 1: have an interest in pushing that you I mean the

1794
01:33:38,200 --> 01:33:40,960
Speaker 1: media itself too. I mean, it's all access journalism. It's

1795
01:33:40,960 --> 01:33:42,439
Speaker 1: not like any other field of journalism. I mean, the

1796
01:33:42,600 --> 01:33:45,960
Speaker 1: entire the entirety of national security reporting is basically you

1797
01:33:46,080 --> 01:33:49,639
Speaker 1: get ahead because the people like you, right exactly. Yeah,

1798
01:33:49,640 --> 01:33:51,759
Speaker 1: it's it's it's you know, a lot of it's classified information,

1799
01:33:51,840 --> 01:33:54,080
Speaker 1: getting the right leagues, getting the right getting the right access.

1800
01:33:54,080 --> 01:33:56,040
Speaker 1: There was a woman named Robin Wright who just went

1801
01:33:56,120 --> 01:33:58,439
Speaker 1: over to the Middle East and was touring around with

1802
01:33:58,479 --> 01:34:00,760
Speaker 1: the generals and Iraq and so, and you know, her

1803
01:34:00,800 --> 01:34:03,559
Speaker 1: views were on Iran. We're basically representing their views. They're

1804
01:34:03,560 --> 01:34:05,000
Speaker 1: not going to give an anti war person, you know,

1805
01:34:05,080 --> 01:34:09,439
Speaker 1: that kind of that kind of access. So, yeah, you

1806
01:34:09,520 --> 01:34:12,439
Speaker 1: know there's this there's a system here. And I think

1807
01:34:12,520 --> 01:34:15,439
Speaker 1: that even people who are skeptical of foreign policy, they

1808
01:34:15,479 --> 01:34:17,920
Speaker 1: sort of elevate the foreign policy elite by saying they

1809
01:34:17,960 --> 01:34:20,280
Speaker 1: have a grand strategy. But it just happens to be wrong.

1810
01:34:21,120 --> 01:34:22,920
Speaker 1: I don't think that's the correct way of looking at it.

1811
01:34:22,960 --> 01:34:24,760
Speaker 1: I think the correct way of looking at it is, Look,

1812
01:34:24,760 --> 01:34:27,160
Speaker 1: there's these interests and they're trying to sell you something

1813
01:34:27,560 --> 01:34:30,640
Speaker 1: like a tobacco obvious, right, and you said, just to

1814
01:34:30,720 --> 01:34:34,800
Speaker 1: be cognizant of that. True, So what do we do, like,

1815
01:34:34,960 --> 01:34:38,960
Speaker 1: what how do we how do we limit the influence

1816
01:34:39,040 --> 01:34:42,840
Speaker 1: in particular of the military industrial complex. Yeah, so, I

1817
01:34:42,920 --> 01:34:45,160
Speaker 1: mean I have some I have some recommendations on the

1818
01:34:45,400 --> 01:34:47,200
Speaker 1: at the end of the book. So you know, these

1819
01:34:47,240 --> 01:34:51,000
Speaker 1: people really do they you know, their secret is the

1820
01:34:51,040 --> 01:34:52,960
Speaker 1: status quo. So there's a lot of inertia built in

1821
01:34:53,040 --> 01:34:54,880
Speaker 1: the system. So for we have troops in a country

1822
01:34:54,960 --> 01:34:56,400
Speaker 1: or an area, you know, we're going to stay that.

1823
01:34:56,479 --> 01:34:58,479
Speaker 1: We're probably going to stay there for a while. Right

1824
01:34:58,600 --> 01:35:00,360
Speaker 1: if we're not there, you know, if like if the

1825
01:35:00,520 --> 01:35:02,559
Speaker 1: US wasn't in career right now, or wasn't in Germany,

1826
01:35:02,640 --> 01:35:04,840
Speaker 1: nobody would be sending them, you know, to Germany or

1827
01:35:05,280 --> 01:35:07,920
Speaker 1: or Korea. So I think that I think that the

1828
01:35:08,280 --> 01:35:10,599
Speaker 1: you know, the best strategy is to have a president

1829
01:35:10,720 --> 01:35:13,000
Speaker 1: who basically just wants to rip up the bandit. This

1830
01:35:13,040 --> 01:35:14,880
Speaker 1: is what Biden did in Afghanistan. I think it was

1831
01:35:14,960 --> 01:35:17,400
Speaker 1: probably good politics in the end, even though it hurt him.

1832
01:35:17,560 --> 01:35:19,400
Speaker 1: I mean, I think that we've moved beyond that now

1833
01:35:19,479 --> 01:35:22,200
Speaker 1: and he's not still dealing with Afghanistan right which which

1834
01:35:22,240 --> 01:35:25,040
Speaker 1: is what would be happening if if he'd stayed. So

1835
01:35:25,160 --> 01:35:27,200
Speaker 1: I think that I think that the president has a

1836
01:35:27,320 --> 01:35:29,439
Speaker 1: lot of power here. I think, you know, trumpet, you know,

1837
01:35:29,439 --> 01:35:31,840
Speaker 1: if you had someone with sort of Trump's instincts but

1838
01:35:31,960 --> 01:35:34,200
Speaker 1: a little bit you know, a little bit better ability

1839
01:35:34,280 --> 01:35:37,479
Speaker 1: to execute, you can fundamentally change American foreign policy. You

1840
01:35:37,520 --> 01:35:39,479
Speaker 1: can pull back in a lot of these commitments, and

1841
01:35:39,640 --> 01:35:41,760
Speaker 1: you know, you could also you know, there's all you

1842
01:35:41,960 --> 01:35:44,280
Speaker 1: also think in terms of lobbying. I mean, you could

1843
01:35:44,320 --> 01:35:47,040
Speaker 1: have things like disclosure, You could have some kind of uh,

1844
01:35:47,439 --> 01:35:49,200
Speaker 1: you could have you know, rules about who you know,

1845
01:35:49,479 --> 01:35:52,519
Speaker 1: what you can do after your after you know, after

1846
01:35:52,640 --> 01:35:55,360
Speaker 1: you're retired. But I think I think that, I mean,

1847
01:35:55,360 --> 01:35:58,040
Speaker 1: I think the point is it's a certain the system

1848
01:35:58,120 --> 01:36:00,960
Speaker 1: because it's because it has so much innership. Because basically

1849
01:36:01,040 --> 01:36:02,840
Speaker 1: we keep doing what we're doing. It means that if

1850
01:36:02,880 --> 01:36:04,320
Speaker 1: you can change it, if you can just find the

1851
01:36:04,400 --> 01:36:07,000
Speaker 1: opportunity to just sort of do something different, that tends

1852
01:36:07,040 --> 01:36:08,519
Speaker 1: to be sticky and it's hard for them to just

1853
01:36:08,600 --> 01:36:11,439
Speaker 1: go back to whatever the status co was. So, you know,

1854
01:36:11,520 --> 01:36:13,720
Speaker 1: politics matters a lot, of leadership matters a lot, and

1855
01:36:13,800 --> 01:36:15,960
Speaker 1: I think that's that's where we have to look for change.

1856
01:36:16,320 --> 01:36:19,240
Speaker 1: Completely agree, Richard. We encourage everybody to go buy the

1857
01:36:19,400 --> 01:36:22,320
Speaker 1: kindle version of the book, which is affordable. We'll have

1858
01:36:22,479 --> 01:36:26,320
Speaker 1: a link down there in the description. Really appreciate it, man, congratulations.

1859
01:36:26,439 --> 01:36:29,600
Speaker 1: It really is fantastic read. It's been well reviewed and

1860
01:36:29,720 --> 01:36:31,240
Speaker 1: all of that, and it's just a voice that we

1861
01:36:31,400 --> 01:36:34,160
Speaker 1: need more than ever in our discourse. So yeah, so

1862
01:36:34,360 --> 01:36:38,720
Speaker 1: little political coverage of foreign policy actually explains what's really

1863
01:36:38,840 --> 01:36:41,360
Speaker 1: going on. So thank you for breaking all of that down.

1864
01:36:41,400 --> 01:36:44,160
Speaker 1: We really appreciate it. Thanks man, Thank you guys, appreciate

1865
01:36:44,200 --> 01:36:46,960
Speaker 1: it absolutely. Thank you guys so much for watching. We

1866
01:36:47,080 --> 01:36:49,000
Speaker 1: really appreciate it. If you could support us, it means

1867
01:36:49,040 --> 01:36:52,000
Speaker 1: the world. We literally walk through the snow for you,

1868
01:36:52,960 --> 01:36:56,360
Speaker 1: quite literally, in order to make sure come today, guys,

1869
01:36:57,000 --> 01:37:00,519
Speaker 1: everybody please, in all seriousness, you know, I just want

1870
01:37:00,560 --> 01:37:02,479
Speaker 1: you guys to know that through the new year and

1871
01:37:02,560 --> 01:37:05,040
Speaker 1: looking back like, we've got big plans here about what

1872
01:37:05,160 --> 01:37:07,640
Speaker 1: we're doing. Talking about it yesterday, I don't know if

1873
01:37:07,680 --> 01:37:10,160
Speaker 1: I had officially announced this, but we did bring somebody

1874
01:37:10,200 --> 01:37:13,000
Speaker 1: on in order to post the show on YouTube. He's

1875
01:37:13,000 --> 01:37:15,280
Speaker 1: been doing a really good Sorry on Instagram, he's been

1876
01:37:15,320 --> 01:37:18,160
Speaker 1: doing a really great job. It's breaking points. YT is

1877
01:37:18,280 --> 01:37:20,720
Speaker 1: the handle. All the clips are up there by the

1878
01:37:20,840 --> 01:37:22,400
Speaker 1: end of the day, so you could share those with

1879
01:37:22,560 --> 01:37:24,720
Speaker 1: your family and friends if you want to. We both

1880
01:37:24,800 --> 01:37:28,080
Speaker 1: have our personal accounts there as well. We're reposting a

1881
01:37:28,120 --> 01:37:29,800
Speaker 1: little bit more. We want to grow the presence of

1882
01:37:29,840 --> 01:37:31,960
Speaker 1: the show, bring it to the people who may want

1883
01:37:32,000 --> 01:37:34,320
Speaker 1: it on different platforms, and we're bringing people on to

1884
01:37:34,400 --> 01:37:36,880
Speaker 1: help spread the message more importantly, though, give you guys

1885
01:37:36,960 --> 01:37:39,080
Speaker 1: more content, more value for what you provide us, so

1886
01:37:39,160 --> 01:37:40,960
Speaker 1: thank you for your support. Link is down there in

1887
01:37:40,960 --> 01:37:43,280
Speaker 1: the description. Yep, we love you guys, have a wonderful

1888
01:37:43,320 --> 01:37:45,000
Speaker 1: day and we'll see you back here on Thursday. See

1889
01:37:45,040 --> 01:37:45,479
Speaker 1: you Thursday,