1
00:00:00,800 --> 00:00:03,760
Speaker 1: Hey, guys, ready or not, twenty twenty four is here,

2
00:00:03,920 --> 00:00:06,400
Speaker 1: and we here at Breaking Points, are already thinking of

3
00:00:06,440 --> 00:00:08,639
Speaker 1: ways we can up our game for this critical election.

4
00:00:08,840 --> 00:00:11,760
Speaker 1: We rely on our premium subs to expand coverage, upgrade

5
00:00:11,800 --> 00:00:15,160
Speaker 1: the studio ad staff give you, guys, the best independent

6
00:00:15,200 --> 00:00:17,400
Speaker 1: coverage that is possible. If you like what we're all about,

7
00:00:17,440 --> 00:00:19,520
Speaker 1: it means the absolute world to have your support. What

8
00:00:19,560 --> 00:00:22,000
Speaker 1: are you waiting for? Become a premium subscriber today at

9
00:00:22,000 --> 00:00:41,640
Speaker 1: Breakingpoints dot com. Good morning, everybody, Happy Tuesday. We have

10
00:00:41,800 --> 00:00:44,320
Speaker 1: an amazing show for everybody today, a little bit of

11
00:00:44,440 --> 00:00:47,519
Speaker 1: at home show of personal reasons. But Crystal, what do

12
00:00:47,600 --> 00:00:50,839
Speaker 1: we have today? Yeah, indeed we do, and we'll be

13
00:00:50,920 --> 00:00:53,000
Speaker 1: back in the studio on Thursday. But a lot of

14
00:00:53,040 --> 00:00:55,080
Speaker 1: stuff to get to you this morning. We have more

15
00:00:55,240 --> 00:00:58,680
Speaker 1: elon Musk and Twitter news. New Twitter files dropped. I mean,

16
00:00:58,720 --> 00:01:00,920
Speaker 1: it's funny because I think people sort of lost interest

17
00:01:00,920 --> 00:01:02,520
Speaker 1: in the Twitter files. But in some ways this was

18
00:01:02,560 --> 00:01:07,200
Speaker 1: the most interesting one. The specific communications regarding the banning

19
00:01:07,280 --> 00:01:09,600
Speaker 1: of any sort of links to the information about Hunter

20
00:01:09,640 --> 00:01:12,479
Speaker 1: Biden's laptop, So we'll get into all of that. We

21
00:01:12,560 --> 00:01:15,480
Speaker 1: also now officially have criminal referrals being made by the

22
00:01:15,560 --> 00:01:18,560
Speaker 1: January sixth committee of Donald Trump and a few of

23
00:01:18,600 --> 00:01:21,560
Speaker 1: his associates. So we have those details and everything that

24
00:01:21,560 --> 00:01:25,560
Speaker 1: that means. SBF has agreed to be extra guided to

25
00:01:25,600 --> 00:01:27,479
Speaker 1: the United States. At the same time, we have more

26
00:01:27,520 --> 00:01:31,200
Speaker 1: information about exactly who he was donating to, which is

27
00:01:31,319 --> 00:01:35,039
Speaker 1: very interesting to dig into as well. And this story.

28
00:01:35,400 --> 00:01:39,760
Speaker 1: I'm sort of fascinated by this new Republican conversation just

29
00:01:39,800 --> 00:01:45,039
Speaker 1: one election, who apparently lied about literally every aspect of

30
00:01:45,040 --> 00:01:49,560
Speaker 1: his bio where he worked for, what is businesses, where

31
00:01:49,560 --> 00:01:52,320
Speaker 1: he lives, I mean everything you could possibly think of,

32
00:01:52,600 --> 00:01:55,160
Speaker 1: and so that is now coming out. We'll give you

33
00:01:55,560 --> 00:01:57,760
Speaker 1: the details on that and his reaction. We also have

34
00:01:57,800 --> 00:02:01,080
Speaker 1: a great moment with Don Lemon being told to his

35
00:02:01,200 --> 00:02:05,200
Speaker 1: face the problems with CNN and mainstream news and he

36
00:02:05,760 --> 00:02:08,200
Speaker 1: doesn't take it all that well. Soccer, so that is

37
00:02:08,240 --> 00:02:09,799
Speaker 1: what we're going to get into. But before we get

38
00:02:09,840 --> 00:02:13,639
Speaker 1: to any of that live show, live show, I hope

39
00:02:13,680 --> 00:02:15,959
Speaker 1: it's not too loud, as I shout into my microphone.

40
00:02:15,960 --> 00:02:19,720
Speaker 1: That's right, Paramount Theater, Austin, Texas, Friday, February third. We're

41
00:02:19,720 --> 00:02:21,440
Speaker 1: gonna have an awesome show there. We're gonna do some

42
00:02:21,480 --> 00:02:24,040
Speaker 1: fun stuff while we're in Austin. We'll have great guests

43
00:02:24,040 --> 00:02:25,679
Speaker 1: and we've got a great thing planned. It's going to

44
00:02:25,760 --> 00:02:28,040
Speaker 1: probably be the last one of the season. So if

45
00:02:28,040 --> 00:02:30,520
Speaker 1: you're in there on the fence, if you want to

46
00:02:30,520 --> 00:02:32,639
Speaker 1: buy gift or anything like that, now is the time.

47
00:02:32,680 --> 00:02:35,280
Speaker 1: Tickets are actually selling really, really well. So if you

48
00:02:35,320 --> 00:02:37,520
Speaker 1: want to go ahead and grab your seat, now is

49
00:02:37,560 --> 00:02:40,800
Speaker 1: the time, folks, before you get it into the new year.

50
00:02:40,960 --> 00:02:46,040
Speaker 1: But let's start with Twitter. Of course, the Twitter files itself.

51
00:02:46,080 --> 00:02:48,960
Speaker 1: There was some new and very interesting revelations put out

52
00:02:49,000 --> 00:02:51,920
Speaker 1: by Michael Schellenberger, who's a part of Barry Weiss's The

53
00:02:52,080 --> 00:02:55,320
Speaker 1: Free Press, with some revelations last night on the FBI

54
00:02:55,480 --> 00:02:58,040
Speaker 1: and the Hunter Biden laptop story. So let's go ahead

55
00:02:58,040 --> 00:03:01,320
Speaker 1: and put the first one up there on the screen. Guys. This,

56
00:03:01,600 --> 00:03:04,239
Speaker 1: in our view is one of the most important ones.

57
00:03:04,639 --> 00:03:07,480
Speaker 1: It shows that Jim Baker, who is a former FBI

58
00:03:07,560 --> 00:03:12,320
Speaker 1: General counsel and actually a staffer over at Twitter, repeatedly

59
00:03:12,400 --> 00:03:16,320
Speaker 1: insisted to Twitter staff that the Hunter Biden materials were

60
00:03:16,320 --> 00:03:19,320
Speaker 1: either quote faked, hacked, or both and it was a

61
00:03:19,440 --> 00:03:23,320
Speaker 1: violation of Twitter policy. He did so in a Google

62
00:03:23,360 --> 00:03:27,040
Speaker 1: doc and over email, both on October fourteenth and on

63
00:03:27,080 --> 00:03:30,360
Speaker 1: October fifteenth. The reason why this matters is that Baker

64
00:03:30,480 --> 00:03:33,760
Speaker 1: was setting the pretext through the initial banning of the

65
00:03:33,880 --> 00:03:37,120
Speaker 1: Hunter Biden laptop story from The New York Post and

66
00:03:37,560 --> 00:03:41,720
Speaker 1: peddling obviously false lies both at the time and in

67
00:03:41,760 --> 00:03:44,720
Speaker 1: the future that the Hunter Biden laptop story and the

68
00:03:45,200 --> 00:03:49,960
Speaker 1: associated materials were quote hacked or some sort of disinformation.

69
00:03:50,120 --> 00:03:53,400
Speaker 1: You guys will remember, you had the Intel community and

70
00:03:53,480 --> 00:03:58,080
Speaker 1: others saying this bears all the hallmarks of Russian disinformation,

71
00:03:58,360 --> 00:04:01,480
Speaker 1: even though from day on one, all Hunter had to

72
00:04:01,520 --> 00:04:03,920
Speaker 1: say is it's not my laptop, it's not true, and

73
00:04:03,960 --> 00:04:06,480
Speaker 1: it's all fake, of which he has never once said,

74
00:04:06,480 --> 00:04:08,720
Speaker 1: and of which all of the materials now on the

75
00:04:08,800 --> 00:04:11,280
Speaker 1: laptop have since been confirmed. Let's go to the next

76
00:04:11,280 --> 00:04:13,680
Speaker 1: one there, guys, and put it up there on the screen,

77
00:04:13,960 --> 00:04:17,279
Speaker 1: because it's also important to remember this. By ten am,

78
00:04:17,520 --> 00:04:21,840
Speaker 1: after the story had been dropped, already within nearly an hour,

79
00:04:22,080 --> 00:04:25,039
Speaker 1: Twitter executives had bought into the quote hack and dump

80
00:04:25,080 --> 00:04:29,440
Speaker 1: story quote. The suggestion from experts, which rings true, is

81
00:04:29,480 --> 00:04:32,520
Speaker 1: that there was a hack that happened separately. Then they

82
00:04:32,520 --> 00:04:35,680
Speaker 1: were loading the hacked materials on the laptop that then

83
00:04:35,800 --> 00:04:40,920
Speaker 1: magically appaired appeared at a repair shop in Delaware. So crystal,

84
00:04:40,960 --> 00:04:44,920
Speaker 1: they are clearly twisting themselves into lengths and honestly creating

85
00:04:44,960 --> 00:04:49,080
Speaker 1: an even more fantastic story than what actually happened as

86
00:04:49,080 --> 00:04:52,440
Speaker 1: to why these are hacked materials in the first place.

87
00:04:52,440 --> 00:04:55,680
Speaker 1: And then finally the third element there, guys, please, which

88
00:04:55,800 --> 00:04:59,400
Speaker 1: also just reveals here the deep connection between the FBI

89
00:04:59,720 --> 00:05:02,680
Speaker 1: on the social media platforms. It continues to this very day.

90
00:05:03,400 --> 00:05:07,239
Speaker 1: On August twentieth, In August of twenty twenty two, nearly

91
00:05:07,279 --> 00:05:10,600
Speaker 1: two years after this, Twitter executives were still preparing for

92
00:05:10,760 --> 00:05:14,240
Speaker 1: meeting with the FBI, whose goal was to quote convince

93
00:05:14,320 --> 00:05:18,600
Speaker 1: us to produce on more FBI EDRs. EDRs there defined

94
00:05:18,800 --> 00:05:23,680
Speaker 1: as emergency disclosure requests aka a warrantless search in which

95
00:05:23,720 --> 00:05:27,640
Speaker 1: Twitter voluntarily hands over your and my and everybody else's

96
00:05:27,680 --> 00:05:31,279
Speaker 1: information at the request of the FBI, possibly even for

97
00:05:31,360 --> 00:05:34,760
Speaker 1: shit posting, for jokes. And it just shows again what

98
00:05:34,800 --> 00:05:37,960
Speaker 1: they have. We've known really from the very beginning that

99
00:05:38,040 --> 00:05:41,080
Speaker 1: there is a deep connection between the intelligence community and

100
00:05:41,160 --> 00:05:43,920
Speaker 1: the social media companies. It goes deeper in some ways

101
00:05:43,960 --> 00:05:46,039
Speaker 1: than we already know as to what they're curating and

102
00:05:46,120 --> 00:05:49,640
Speaker 1: asking to be censored. But it is astounding to see

103
00:05:49,640 --> 00:05:54,760
Speaker 1: this corrupt FBI former General Counsel Jim Baker directly playing

104
00:05:54,760 --> 00:05:58,360
Speaker 1: a role in censoring the Hunter Biden laptop story. Crystal, Yeah,

105
00:05:58,400 --> 00:06:00,479
Speaker 1: I mean, now we have all the pieces of coming

106
00:06:00,520 --> 00:06:04,599
Speaker 1: into place. We knew before from Mark Zuckerberg over at

107
00:06:04,680 --> 00:06:09,160
Speaker 1: Facebook slash Meta that they had been primed to expect

108
00:06:09,360 --> 00:06:13,320
Speaker 1: some sort of hack and dump operation from the Deep States,

109
00:06:13,360 --> 00:06:16,560
Speaker 1: so they had been warned something is coming, though they

110
00:06:16,600 --> 00:06:19,919
Speaker 1: weren't told specifically about this Hunter Biden laptop situation. So

111
00:06:20,040 --> 00:06:23,600
Speaker 1: when the Hunter Biden laptop information is revealed, they are

112
00:06:23,680 --> 00:06:26,839
Speaker 1: all primed to think that this was a hack and

113
00:06:27,040 --> 00:06:30,680
Speaker 1: dump rather than actually his laptop that actually got left

114
00:06:30,720 --> 00:06:34,520
Speaker 1: at a computer repair shop. Same thing happened over at Twitter.

115
00:06:34,560 --> 00:06:36,920
Speaker 1: So if you Yoel Roth and others who are sort

116
00:06:36,920 --> 00:06:39,479
Speaker 1: of primed by the Deep State to expect some sort

117
00:06:39,520 --> 00:06:43,479
Speaker 1: of hack and dump operation, so that's number one. Number two.

118
00:06:43,560 --> 00:06:47,720
Speaker 1: When this actually happens, Joel Roth is actually very skeptical

119
00:06:47,839 --> 00:06:50,279
Speaker 1: that this should be banned from the platform, that this

120
00:06:50,440 --> 00:06:54,360
Speaker 1: violates terms of service whatsoever. And it's actually Baker, who

121
00:06:54,440 --> 00:06:57,920
Speaker 1: of course has those FBI ties who really almost bullies

122
00:06:57,960 --> 00:07:03,400
Speaker 1: and cajoles him into believing this fantastical conspiratorial story about

123
00:07:03,400 --> 00:07:06,400
Speaker 1: how this information was really because of a hack and

124
00:07:06,440 --> 00:07:09,520
Speaker 1: it wasn't legitimate and it should therefore be banned, And

125
00:07:09,560 --> 00:07:12,800
Speaker 1: then you see them taking these incredibly heavy handed approach

126
00:07:12,840 --> 00:07:15,560
Speaker 1: after the fact. So it's sort of you know, the

127
00:07:15,640 --> 00:07:19,320
Speaker 1: FBI preps them for this Baker because he comes from

128
00:07:19,360 --> 00:07:24,080
Speaker 1: that world, you know, pushes the most conspiratorial, absurd interpretation

129
00:07:24,160 --> 00:07:27,240
Speaker 1: of what this material ultimately is, and then Uel Roth

130
00:07:27,320 --> 00:07:30,440
Speaker 1: and others decide ultimately to act. That's the picture that's

131
00:07:30,440 --> 00:07:33,160
Speaker 1: painted from this latest release. Yeah, I think that's right,

132
00:07:33,200 --> 00:07:34,880
Speaker 1: and that's why we wanted to lead with it, which

133
00:07:34,920 --> 00:07:37,800
Speaker 1: is and I know people are getting sick, including us,

134
00:07:37,840 --> 00:07:41,560
Speaker 1: of talking about Elon and Twitter, but these are monumentally

135
00:07:41,600 --> 00:07:45,400
Speaker 1: consequential events. I mean, we had a genuine election interference

136
00:07:45,760 --> 00:07:49,080
Speaker 1: thing happened with Twitter where they just decided unilaterally to

137
00:07:49,240 --> 00:07:53,840
Speaker 1: ban this story in a complete violation really of both

138
00:07:53,920 --> 00:07:57,960
Speaker 1: their role as a quote unquote platform, moving totally into

139
00:07:58,000 --> 00:08:00,760
Speaker 1: the publisher realm, and just setting this standard through which

140
00:08:00,800 --> 00:08:04,679
Speaker 1: wh's been exposed that the intelligence community has these deep

141
00:08:05,160 --> 00:08:08,280
Speaker 1: underlying connections of which even if you don't care about

142
00:08:08,320 --> 00:08:10,840
Speaker 1: the Hunter Biden laptop story, what we found out from

143
00:08:10,880 --> 00:08:14,680
Speaker 1: Ken Klippenstein and from the intercepts reporting on the DHS.

144
00:08:14,880 --> 00:08:18,000
Speaker 1: This is including Biden any criticism of Biden on the

145
00:08:18,040 --> 00:08:22,600
Speaker 1: Afghan withdrawal quote unquote COVID misinformation, of which, by the way,

146
00:08:22,640 --> 00:08:25,360
Speaker 1: I'm still very much waiting for some of those Twitter

147
00:08:25,400 --> 00:08:28,080
Speaker 1: files to be released. I would really love to see

148
00:08:28,080 --> 00:08:30,160
Speaker 1: some of the lab leakue censorship, some of the other

149
00:08:30,200 --> 00:08:33,640
Speaker 1: COVID censorship that happened within And we're also just learning

150
00:08:33,720 --> 00:08:38,240
Speaker 1: that as capricious as Elon was, and he's a single individual,

151
00:08:38,880 --> 00:08:41,600
Speaker 1: they had a bureaucratic capriciousness as well, in which they're

152
00:08:41,640 --> 00:08:44,800
Speaker 1: straight up admitting many of these things don't abide by

153
00:08:45,000 --> 00:08:48,000
Speaker 1: their own don't violate their own policies. And then we're

154
00:08:48,040 --> 00:08:52,880
Speaker 1: also seeing the FBI just basically preparing the ground to

155
00:08:53,000 --> 00:08:56,480
Speaker 1: get Twitter to censor whatever they want and browbeating them

156
00:08:56,480 --> 00:08:59,760
Speaker 1: to the point where they're even making pro censorship figures

157
00:09:00,080 --> 00:09:04,400
Speaker 1: uncomfortable Crystal with their monumental number of requests that they're

158
00:09:04,440 --> 00:09:07,240
Speaker 1: sending over their way. Yeah, and I think the other

159
00:09:07,280 --> 00:09:10,559
Speaker 1: piece that really becomes clear here as we put all

160
00:09:10,559 --> 00:09:14,960
Speaker 1: these pieces together is just what incredible levels of evil

161
00:09:15,000 --> 00:09:19,120
Speaker 1: were spawned by Russiagate, both in terms of the FBI

162
00:09:19,360 --> 00:09:22,280
Speaker 1: and the expanded powers that they took on, and the

163
00:09:22,320 --> 00:09:25,400
Speaker 1: expanded reach in terms of, hey, we now feel like

164
00:09:25,440 --> 00:09:28,600
Speaker 1: we need to police every bad joke that's tweeted out

165
00:09:28,679 --> 00:09:33,200
Speaker 1: from our own citizens, and then also the conception of

166
00:09:33,240 --> 00:09:36,000
Speaker 1: these social media companies in terms of how they should

167
00:09:36,000 --> 00:09:39,560
Speaker 1: be moderating content, because if it wasn't for their idea

168
00:09:39,640 --> 00:09:43,160
Speaker 1: of you know, foreign interference from twenty sixteen, they would

169
00:09:43,160 --> 00:09:47,360
Speaker 1: not have had this policy in place. Joel Roth directly says,

170
00:09:47,440 --> 00:09:50,319
Speaker 1: you know, oh, after we learned what happened in twenty sixteen,

171
00:09:50,480 --> 00:09:53,120
Speaker 1: you know, we need to take action. Here I'm paraphrasing,

172
00:09:53,160 --> 00:09:55,720
Speaker 1: but that was basically the idea. So you can see

173
00:09:55,760 --> 00:09:58,520
Speaker 1: the way that Russiagate was used and perverted to hand

174
00:09:58,600 --> 00:10:01,560
Speaker 1: both the social media companies and the deep state much

175
00:10:01,600 --> 00:10:04,520
Speaker 1: more power and much more reach into our individual lives

176
00:10:04,559 --> 00:10:08,679
Speaker 1: and into our sort of small d democratic speech. At

177
00:10:08,720 --> 00:10:12,040
Speaker 1: the same time, Crystal, some interesting stuff happening with Elon

178
00:10:12,200 --> 00:10:14,560
Speaker 1: Musk and the plane accounts, So guys, let's go ahead

179
00:10:14,559 --> 00:10:18,439
Speaker 1: and put this up there on the screen. Musk has

180
00:10:18,480 --> 00:10:22,120
Speaker 1: blamed the Twitter account for an alleged stocker. Police actually

181
00:10:22,160 --> 00:10:25,440
Speaker 1: see no link and so yes, I will caution you

182
00:10:25,559 --> 00:10:29,319
Speaker 1: it is co bylined by the one Tailor Orens. However,

183
00:10:29,400 --> 00:10:31,600
Speaker 1: the information that we're after has nothing to do with

184
00:10:31,640 --> 00:10:34,079
Speaker 1: Tailor Orens and has to do with the Los Angeles

185
00:10:34,160 --> 00:10:37,120
Speaker 1: Police Department, which said in a statement that his threat

186
00:10:37,120 --> 00:10:40,920
Speaker 1: management unit was in contact with Musk Musk's representatives and

187
00:10:40,960 --> 00:10:45,200
Speaker 1: security team, but that no crime report has yet been filed. However,

188
00:10:45,520 --> 00:10:49,840
Speaker 1: video from the actual gas station where the confrontation occurred

189
00:10:50,320 --> 00:10:54,040
Speaker 1: between an alleged stocker of both Elon of his ex

190
00:10:54,200 --> 00:10:57,640
Speaker 1: y or I guess ex partner Grimes and Elon Musk,

191
00:10:57,840 --> 00:11:00,680
Speaker 1: as well as his small child, appears to show that

192
00:11:00,720 --> 00:11:06,120
Speaker 1: the incident in question happened actually twenty three hours after

193
00:11:06,679 --> 00:11:10,680
Speaker 1: Musk Jet had already landed in Los Angeles and away

194
00:11:10,720 --> 00:11:14,600
Speaker 1: from the airport itself, at a gas station allegedly near

195
00:11:15,080 --> 00:11:18,520
Speaker 1: Grimes's home, So Crystal, this kind of casts doubt on

196
00:11:18,600 --> 00:11:22,240
Speaker 1: the idea that the Elon Jet account itself had anything

197
00:11:22,280 --> 00:11:26,360
Speaker 1: to do with the attack on Elon's sun in the

198
00:11:26,400 --> 00:11:29,160
Speaker 1: car in the first place, because it happened so far

199
00:11:29,400 --> 00:11:32,480
Speaker 1: after the fact and away from the airport. There's no

200
00:11:32,559 --> 00:11:35,480
Speaker 1: indication that the airport actually played any role at all,

201
00:11:35,600 --> 00:11:39,199
Speaker 1: even according to the police officers themselves. The police officers

202
00:11:39,240 --> 00:11:42,720
Speaker 1: did caution and say, look, any sort of live information

203
00:11:42,760 --> 00:11:45,200
Speaker 1: in all of that could have played a role. We

204
00:11:45,320 --> 00:11:49,440
Speaker 1: don't yet have the full information on that, but we're

205
00:11:49,480 --> 00:11:53,600
Speaker 1: still wondering exactly why Elon is drawing a connection between

206
00:11:53,679 --> 00:11:56,680
Speaker 1: these two incidents when according to the police themselves and

207
00:11:56,679 --> 00:11:58,360
Speaker 1: according to a lot of the facts of the matter,

208
00:11:58,640 --> 00:12:00,560
Speaker 1: it doesn't actually look to have had to do anything

209
00:12:00,559 --> 00:12:03,200
Speaker 1: with it. Yeah, I mean, the bottom line here is

210
00:12:04,080 --> 00:12:07,360
Speaker 1: the Elon jet account hadn't posted in nearly twenty four

211
00:12:07,360 --> 00:12:11,320
Speaker 1: hours when this incident occurred. It didn't occur particularly close

212
00:12:11,360 --> 00:12:14,720
Speaker 1: to an airport, so it's hard to really directly say

213
00:12:14,760 --> 00:12:17,160
Speaker 1: that the Elon jet account had anything to do with

214
00:12:17,200 --> 00:12:21,000
Speaker 1: this other than potentially just you know, raising safety concerns

215
00:12:21,000 --> 00:12:23,679
Speaker 1: for Elon in general. But I just go back to

216
00:12:24,000 --> 00:12:26,280
Speaker 1: the point, like I think anyone could relate to being

217
00:12:26,320 --> 00:12:28,839
Speaker 1: fearful of their children's lives and wanting to do whatever

218
00:12:28,880 --> 00:12:31,120
Speaker 1: they could to keep them safe and to keep them protected.

219
00:12:31,679 --> 00:12:34,800
Speaker 1: But the whole problem with having one person or a

220
00:12:34,840 --> 00:12:37,240
Speaker 1: small group of people in charge of a major platform

221
00:12:37,320 --> 00:12:39,640
Speaker 1: like this is they start to make decisions based on

222
00:12:39,760 --> 00:12:44,120
Speaker 1: their emotions and their whims versus any sort of clear

223
00:12:44,200 --> 00:12:48,000
Speaker 1: and consistent standard. The other thing to point out here, Sager,

224
00:12:48,200 --> 00:12:52,360
Speaker 1: it is really relevant that Taylor and the other author

225
00:12:52,400 --> 00:12:55,240
Speaker 1: who was you know, had the co byline here. These

226
00:12:55,240 --> 00:12:59,040
Speaker 1: were two of the people who were banned temporarily from Twitter,

227
00:12:59,559 --> 00:13:04,360
Speaker 1: and specifically Taylor was banned after she asked Elon for

228
00:13:04,480 --> 00:13:09,400
Speaker 1: comment on this story. Now Elon said, oh, it had

229
00:13:09,440 --> 00:13:12,960
Speaker 1: to do with a previous doxing incident from this account,

230
00:13:13,280 --> 00:13:16,680
Speaker 1: But it sure looks like he was punishing her for

231
00:13:16,760 --> 00:13:21,840
Speaker 1: writing a story, a totally legitimate journalistic story about him

232
00:13:22,120 --> 00:13:25,480
Speaker 1: that he happened to not like. Yeah, No, I mean,

233
00:13:25,559 --> 00:13:27,400
Speaker 1: I don't think that there's a way to come away

234
00:13:27,400 --> 00:13:29,440
Speaker 1: from that conclusion, because it wasn't just Taylor, it was

235
00:13:29,480 --> 00:13:33,120
Speaker 1: the other reporter on the first lead byline, Drew Harwell

236
00:13:33,480 --> 00:13:36,280
Speaker 1: for the Washington Post Reporter. And of course all this

237
00:13:36,440 --> 00:13:40,240
Speaker 1: comes on the heels of the poll on Elon saying

238
00:13:40,520 --> 00:13:43,560
Speaker 1: should I step down? Some fifty seven percent went ahead

239
00:13:43,559 --> 00:13:46,319
Speaker 1: and voted yes. He has not actually issued any update

240
00:13:46,640 --> 00:13:49,280
Speaker 1: on the matter since, although he did kind of imply

241
00:13:49,559 --> 00:13:53,360
Speaker 1: in a reply to Kim dot com that perhaps the

242
00:13:53,440 --> 00:13:56,880
Speaker 1: vote was rigged because of bots that were on the platform.

243
00:13:57,160 --> 00:13:59,760
Speaker 1: I don't know, We'll see. Maybe Elon is going to

244
00:13:59,800 --> 00:14:02,960
Speaker 1: pull his own version of stop the Steal on this post.

245
00:14:03,080 --> 00:14:05,439
Speaker 1: But it does matter and comes on the heels of

246
00:14:05,480 --> 00:14:08,640
Speaker 1: a major discussion we had yesterday, the financial incentives that

247
00:14:08,679 --> 00:14:12,240
Speaker 1: are playing behind the scenes pushing Elon perhaps away from

248
00:14:12,280 --> 00:14:14,559
Speaker 1: the CEO chair. Let's put this up there on the

249
00:14:14,600 --> 00:14:19,760
Speaker 1: screen from Senator Warren. Senator Elizabeth Warren there asking saying,

250
00:14:19,800 --> 00:14:23,440
Speaker 1: ever since Twitter was taken over by Elon Musk, asking

251
00:14:23,480 --> 00:14:27,000
Speaker 1: on behalf of Tesla's shareholders, whether there is a conflict

252
00:14:27,000 --> 00:14:31,680
Speaker 1: of interests and whether Elon is misappropriating Tesla resources. Because

253
00:14:32,720 --> 00:14:36,000
Speaker 1: Tesla itself, accord is a public company, it has to

254
00:14:36,000 --> 00:14:38,160
Speaker 1: be accountable to the Tesla board, not just to the

255
00:14:38,160 --> 00:14:41,960
Speaker 1: whims of Elon Musk. Obviously, you know she's just trying

256
00:14:41,960 --> 00:14:46,040
Speaker 1: to grab something, which could you know, inhibit Elon at

257
00:14:46,080 --> 00:14:49,480
Speaker 1: the helm of Twitter. That said, though it is a

258
00:14:49,560 --> 00:14:52,760
Speaker 1: legitimate concern that we've been trying to highlight for folks,

259
00:14:52,840 --> 00:14:57,080
Speaker 1: let's put this up there. The third largest shareholder actually

260
00:14:57,240 --> 00:15:03,040
Speaker 1: in Tesla is urging Elon to actually step aside as

261
00:15:03,080 --> 00:15:07,800
Speaker 1: CEO he was somebody who has tens of millions of

262
00:15:07,840 --> 00:15:11,640
Speaker 1: dollars or sorry, tens of millions of shares in Tesla

263
00:15:11,720 --> 00:15:15,440
Speaker 1: worth some three point five to seven billion dollars, only

264
00:15:15,560 --> 00:15:20,200
Speaker 1: trailing Elon and Tesla chairman Larry Ellison in terms of

265
00:15:20,240 --> 00:15:22,480
Speaker 1: his share in the company, one of the single largest

266
00:15:22,480 --> 00:15:25,680
Speaker 1: private shareholders. And he said, even though he's not selling

267
00:15:25,720 --> 00:15:29,240
Speaker 1: his shares, he's actually planning to buy more. It's more saying,

268
00:15:29,320 --> 00:15:31,480
Speaker 1: I think that he needs to set aside as the

269
00:15:31,840 --> 00:15:35,320
Speaker 1: Twitter CEO, because this is both having a problem on

270
00:15:35,360 --> 00:15:38,240
Speaker 1: this Tesla stock and you know, obviously it's going to

271
00:15:38,320 --> 00:15:41,760
Speaker 1: draw some of his time away from actually running the

272
00:15:41,800 --> 00:15:46,040
Speaker 1: company itself. He says, quote an executioner Tim Cook like

273
00:15:46,400 --> 00:15:49,920
Speaker 1: is needed, not Elon, some sort of Tim Cook figure,

274
00:15:50,000 --> 00:15:52,480
Speaker 1: Bob Eiger figure who can come in to a real

275
00:15:52,640 --> 00:15:55,800
Speaker 1: drama filled mess and kind of bring order a mix

276
00:15:55,920 --> 00:15:57,960
Speaker 1: the chaos. But I think that's one of the major

277
00:15:58,000 --> 00:16:01,280
Speaker 1: storylines in all of this. Crystal is literally the third

278
00:16:01,360 --> 00:16:04,320
Speaker 1: largest shareholder in the entire company, so of course he's

279
00:16:04,320 --> 00:16:06,800
Speaker 1: going to have a say. Yeah, there's no doubt Elon

280
00:16:06,920 --> 00:16:11,040
Speaker 1: is under pressure, definitely from Tesla investors, some of whom

281
00:16:11,120 --> 00:16:14,000
Speaker 1: have been public about the fact that they're not happy

282
00:16:14,040 --> 00:16:16,520
Speaker 1: with him over there screwing around at Twitter while Tesla

283
00:16:16,600 --> 00:16:19,920
Speaker 1: stock is just going down and down and down. May

284
00:16:20,000 --> 00:16:23,880
Speaker 1: also be under pressure from Twitter financially in terms of

285
00:16:23,880 --> 00:16:28,080
Speaker 1: trying to bring in new money and investors' potential investors

286
00:16:28,400 --> 00:16:31,120
Speaker 1: not being impressed with his tenure there as well. That

287
00:16:31,240 --> 00:16:34,680
Speaker 1: is another possibility. And as you know, Sager, I have

288
00:16:34,760 --> 00:16:37,800
Speaker 1: a personal stake in all of this because I personally

289
00:16:37,840 --> 00:16:40,400
Speaker 1: would like Elon to stop screwing around with Twitter and

290
00:16:40,440 --> 00:16:44,200
Speaker 1: get Starlink working so that I actually have Internet at

291
00:16:44,240 --> 00:16:47,160
Speaker 1: my house. So that's my personal grievance here. But you know,

292
00:16:47,440 --> 00:16:49,960
Speaker 1: some of the questions that Elizabeth Warren is asking are

293
00:16:50,000 --> 00:16:53,840
Speaker 1: quite legitimate. You'll remember early on there were reports of

294
00:16:53,920 --> 00:16:57,840
Speaker 1: how Elon had grabbed some of the top engineers from

295
00:16:57,920 --> 00:17:01,000
Speaker 1: Tesla and brought them over to Twitter. So one of

296
00:17:01,000 --> 00:17:05,400
Speaker 1: her questions centers around like, hey, is this harming Tesla

297
00:17:05,560 --> 00:17:08,200
Speaker 1: that you took apparently some of the top talent over

298
00:17:08,240 --> 00:17:11,160
Speaker 1: to Twitter. Is that an issue for Tesla? She also

299
00:17:11,280 --> 00:17:15,040
Speaker 1: asked whether there are conflicts of interest here, whether Tesla

300
00:17:15,160 --> 00:17:18,600
Speaker 1: is overpaying for ads on the Twitter platform. You'll recall

301
00:17:18,640 --> 00:17:21,280
Speaker 1: Tesla has now bought a bunch of ads after a

302
00:17:21,280 --> 00:17:25,320
Speaker 1: lot of other advertisers fled. It's Tesla getting a preferential rate.

303
00:17:25,400 --> 00:17:28,960
Speaker 1: Are they overpaying? Is this a fair market transaction? And

304
00:17:29,000 --> 00:17:32,560
Speaker 1: then there's also questions over whether Elon could use the

305
00:17:32,640 --> 00:17:36,720
Speaker 1: Twitter algorithm to unfairly boost Tesla. So you can see

306
00:17:36,720 --> 00:17:39,240
Speaker 1: how there are some legitimate conflicts of interest here and

307
00:17:39,280 --> 00:17:44,000
Speaker 1: also legitimate questions over whether Tesla investors are kind of

308
00:17:44,040 --> 00:17:47,639
Speaker 1: getting a raw deal here, and as you indicated, some

309
00:17:47,680 --> 00:17:51,320
Speaker 1: of those investors are already expressing their concerns publicly. Now,

310
00:17:51,440 --> 00:17:54,880
Speaker 1: the last thing I'll say about this is my assumption

311
00:17:55,119 --> 00:17:58,120
Speaker 1: with the whole Elon poll of whether he should stay

312
00:17:58,200 --> 00:18:01,760
Speaker 1: or go was that he basically knew the outcome was

313
00:18:02,160 --> 00:18:04,120
Speaker 1: likely to be that people would vote for him to go,

314
00:18:04,520 --> 00:18:06,560
Speaker 1: and that this was an excuse for him to find

315
00:18:06,560 --> 00:18:09,160
Speaker 1: his way out the door, given that he is under

316
00:18:09,280 --> 00:18:13,240
Speaker 1: a variety of financial pressures, just basic like personally in

317
00:18:13,359 --> 00:18:15,359
Speaker 1: terms of the stock he's had to sell and also

318
00:18:15,400 --> 00:18:18,439
Speaker 1: from his investors, et cetera, et cetera. But you know,

319
00:18:18,560 --> 00:18:22,560
Speaker 1: it's not entirely clear that he did think that ultimately

320
00:18:22,640 --> 00:18:24,960
Speaker 1: that would be the outcome. Some of the interactions with

321
00:18:25,080 --> 00:18:28,000
Speaker 1: Kim dot Com do raise questions about whether maybe he

322
00:18:28,040 --> 00:18:31,119
Speaker 1: did expect that he would win this poll, that he

323
00:18:31,200 --> 00:18:33,720
Speaker 1: could take this as a piece of information. Say, look

324
00:18:33,760 --> 00:18:36,000
Speaker 1: at the media out here complaining about me, but the

325
00:18:36,160 --> 00:18:38,320
Speaker 1: put it to the people and they want me to stay.

326
00:18:38,800 --> 00:18:40,840
Speaker 1: So at this point it's a little less clear to

327
00:18:40,880 --> 00:18:43,560
Speaker 1: me than it was yesterday, given again some of his

328
00:18:43,680 --> 00:18:46,720
Speaker 1: interactions that he's had after the fact with Kim dot

329
00:18:46,720 --> 00:18:49,440
Speaker 1: Com and others online. We'll see, we're all in a

330
00:18:49,480 --> 00:18:54,400
Speaker 1: holding pattern. We'll update everyone if there's anything there. Indeed,

331
00:18:54,600 --> 00:18:58,399
Speaker 1: all right, at the same time, some big news. Grand

332
00:18:58,440 --> 00:19:04,119
Speaker 1: finale of the January six Committee was yesterday, and as expected,

333
00:19:04,520 --> 00:19:08,399
Speaker 1: they did send a few criminal referrals of Donald Trump

334
00:19:08,440 --> 00:19:12,280
Speaker 1: and some of his associates, including Mark Meadows and Rudy Giuliani,

335
00:19:12,560 --> 00:19:16,480
Speaker 1: to the Department of Justice for potential prosecution. Right on

336
00:19:16,600 --> 00:19:18,280
Speaker 1: in the gates, I want to say, the fact that

337
00:19:18,400 --> 00:19:22,199
Speaker 1: a House committee sent a criminal referral over doesn't really

338
00:19:22,240 --> 00:19:24,720
Speaker 1: mean anything in terms of it doesn't force the Department

339
00:19:24,720 --> 00:19:27,240
Speaker 1: of Justice to take any action. It is just simply

340
00:19:27,320 --> 00:19:31,480
Speaker 1: a recommendation. Nevertheless, you know, it is extraordinary. It's something

341
00:19:31,520 --> 00:19:33,360
Speaker 1: that we should take a look at, and we'll dig

342
00:19:33,400 --> 00:19:36,360
Speaker 1: into the details. Before we do that, though, I want

343
00:19:36,400 --> 00:19:40,520
Speaker 1: to show you some testimony from Hope Hicks. Now, Hope Hicks,

344
00:19:41,119 --> 00:19:43,520
Speaker 1: as you know and as the audience likely knows, was

345
00:19:43,600 --> 00:19:47,119
Speaker 1: a steadfast supporter of Donald Trump. She served as his

346
00:19:47,200 --> 00:19:49,240
Speaker 1: Comms director, and as a White House counselor and a

347
00:19:49,320 --> 00:19:53,320
Speaker 1: variety of other roles. She actually indicates here that she

348
00:19:53,480 --> 00:19:56,040
Speaker 1: felt some of the activities building up to January sixth

349
00:19:56,080 --> 00:19:58,600
Speaker 1: and calling into question the results of the election, we're

350
00:19:58,760 --> 00:20:02,199
Speaker 1: undermining what she saw as his great legacy. Let's take

351
00:20:02,200 --> 00:20:04,359
Speaker 1: a listen to what she had to say. I was

352
00:20:04,480 --> 00:20:12,919
Speaker 1: becoming increasingly concerned that we were damaging we were damaging

353
00:20:13,000 --> 00:20:16,439
Speaker 1: his legacy. What did the President say in response to

354
00:20:16,600 --> 00:20:20,920
Speaker 1: what she just described? He said something along the lines of,

355
00:20:24,400 --> 00:20:28,879
Speaker 1: you know, nobody will care about my legacy if I lose,

356
00:20:32,040 --> 00:20:37,040
Speaker 1: so that won't matter. The only thing that matters is winning.

357
00:20:39,880 --> 00:20:42,639
Speaker 1: Sounds very trumpy in there. The only thing that matters

358
00:20:42,680 --> 00:20:44,840
Speaker 1: is winning. No one will care if I've ultimately lost.

359
00:20:45,160 --> 00:20:47,760
Speaker 1: I wonder what you make of that piece of footage

360
00:20:47,760 --> 00:20:50,000
Speaker 1: before I get to the details of the criminal referrals.

361
00:20:50,280 --> 00:20:53,760
Speaker 1: I mean, you know it's true. It just sounds vintage Trump.

362
00:20:54,320 --> 00:20:57,280
Speaker 1: And yeah, look Trump has an amazing capacity to convince

363
00:20:57,320 --> 00:21:00,480
Speaker 1: himself of anything, whether it's true or not. I think

364
00:21:00,520 --> 00:21:02,720
Speaker 1: in the beginning he just had to make a calculated choice.

365
00:21:02,720 --> 00:21:04,560
Speaker 1: He's like, no, I didn't lose. This is something that

366
00:21:04,600 --> 00:21:08,440
Speaker 1: my people kind of expect from me, despite all evidence,

367
00:21:08,440 --> 00:21:11,560
Speaker 1: and not even evidence, just all advice that you can see.

368
00:21:11,640 --> 00:21:14,800
Speaker 1: What's the most remarkable story to me is that many

369
00:21:14,840 --> 00:21:18,960
Speaker 1: of these stop the Steal defenders and pro Trump MAGA figures,

370
00:21:19,160 --> 00:21:21,840
Speaker 1: behind the scenes, they were all telling Trump to concede.

371
00:21:22,080 --> 00:21:23,760
Speaker 1: They were all telling Trumpy like, this is going to

372
00:21:23,800 --> 00:21:25,359
Speaker 1: be bad for the country. You should just move on

373
00:21:25,480 --> 00:21:28,119
Speaker 1: for your legacy. This isn't worth it. And he made

374
00:21:28,200 --> 00:21:32,040
Speaker 1: the concerted choice, and they've all fallen in line since then.

375
00:21:32,119 --> 00:21:34,320
Speaker 1: So there's a by there's like two stories. There's one

376
00:21:34,359 --> 00:21:36,720
Speaker 1: of how cynical they are because they're willing to lie

377
00:21:37,040 --> 00:21:40,679
Speaker 1: to the public after the fact and justify his actions

378
00:21:40,720 --> 00:21:43,840
Speaker 1: when behind the scenes they were all telling him not

379
00:21:44,040 --> 00:21:46,800
Speaker 1: to do this. And look, it's just exhibit like three

380
00:21:46,800 --> 00:21:51,600
Speaker 1: thousand about how unique Trump is in that he was

381
00:21:51,640 --> 00:21:54,359
Speaker 1: the one person to say, no, I'm going all in

382
00:21:54,400 --> 00:21:56,760
Speaker 1: on stop the Steal, and still though a lot of

383
00:21:56,760 --> 00:21:59,919
Speaker 1: people followed him as you can see, unique as one

384
00:22:00,040 --> 00:22:02,920
Speaker 1: word for it. Let's go and put the CBS News

385
00:22:02,920 --> 00:22:05,040
Speaker 1: tears sheet up on the screen that has the details

386
00:22:05,160 --> 00:22:10,399
Speaker 1: of the criminal referrals. Here, they urged the Department of

387
00:22:10,520 --> 00:22:14,480
Speaker 1: Justice to prosecute Trump for obstruction of an official proceeding,

388
00:22:15,040 --> 00:22:19,720
Speaker 1: conspiracy to defraud the United States, conspiracy to make a

389
00:22:19,760 --> 00:22:25,840
Speaker 1: false statement, and incitement rebellion or insurrection. They say Trump's

390
00:22:25,880 --> 00:22:29,359
Speaker 1: actions could also constitute violations of two other conspiracy statutes

391
00:22:29,359 --> 00:22:32,840
Speaker 1: depending on potential evidence developed by the Justice Department. So

392
00:22:33,000 --> 00:22:36,960
Speaker 1: again to emphasize the fact that they sent these criminal

393
00:22:37,000 --> 00:22:40,520
Speaker 1: referrals over does not mean the Department of Justice has

394
00:22:40,560 --> 00:22:44,120
Speaker 1: to do anything with it. It is a recommendation. However,

395
00:22:44,160 --> 00:22:46,840
Speaker 1: this is the first time in history that you have

396
00:22:47,160 --> 00:22:51,760
Speaker 1: had a House panel of this sort recommend criminal charges

397
00:22:51,880 --> 00:22:56,040
Speaker 1: against a former president. So from that perspective, it's extraordinary.

398
00:22:56,440 --> 00:22:58,119
Speaker 1: I'm going to get into the details of some of

399
00:22:58,160 --> 00:23:01,240
Speaker 1: these charges in which ones are sort of likely to stick.

400
00:23:02,080 --> 00:23:04,480
Speaker 1: But the other thing to say about this is, you know,

401
00:23:04,480 --> 00:23:07,240
Speaker 1: I think you and I were both skeptical of this

402
00:23:07,280 --> 00:23:10,959
Speaker 1: committee at the beginning of what it would accomplish politically,

403
00:23:11,560 --> 00:23:15,280
Speaker 1: But after the midterm election results and how clearly stopped.

404
00:23:15,320 --> 00:23:18,600
Speaker 1: This steal was such a stain on every candidate that

405
00:23:18,800 --> 00:23:21,359
Speaker 1: embraced it. I think you do have to say that

406
00:23:21,480 --> 00:23:25,640
Speaker 1: this panel did This committee ultimately did have an impact

407
00:23:25,760 --> 00:23:28,840
Speaker 1: on the electorate. Having the evidence laid out in front

408
00:23:28,880 --> 00:23:32,119
Speaker 1: of them did land. And I also think just everybody

409
00:23:32,160 --> 00:23:35,720
Speaker 1: living through the experience of January sixth seeing Donald Trump

410
00:23:35,720 --> 00:23:38,920
Speaker 1: continue to cling to these conspiracies, it ended up being

411
00:23:39,000 --> 00:23:43,600
Speaker 1: incredibly politically potent and incredibly damaging for the candidates who

412
00:23:43,640 --> 00:23:47,800
Speaker 1: were most closely associated with it. I absolutely concur I mean,

413
00:23:47,840 --> 00:23:49,640
Speaker 1: I did not think it would matter. I didn't think

414
00:23:49,640 --> 00:23:52,000
Speaker 1: that people would care all that much two years later,

415
00:23:52,119 --> 00:23:54,359
Speaker 1: and I was absolutely wrong about that. I think people

416
00:23:54,359 --> 00:23:57,280
Speaker 1: care quite a bit, And especially in the context of

417
00:23:57,440 --> 00:24:01,080
Speaker 1: just general like MAGA extremism on the issue of voting

418
00:24:01,240 --> 00:24:04,679
Speaker 1: and just being really abhorrent to the entire electorate, this

419
00:24:04,840 --> 00:24:07,400
Speaker 1: is clearly now going to be a problem for them

420
00:24:07,440 --> 00:24:10,679
Speaker 1: and just generally feeds the idea of not only like

421
00:24:10,760 --> 00:24:13,600
Speaker 1: Trump being crazy and doing stuff that most of the

422
00:24:13,680 --> 00:24:16,720
Speaker 1: electorate doesn't even care about, but also just being embroiled

423
00:24:16,840 --> 00:24:19,920
Speaker 1: in scandals. And I don't know why exactly, though, for

424
00:24:19,960 --> 00:24:23,200
Speaker 1: some reason, these scandals are hitting differently than in the

425
00:24:23,280 --> 00:24:26,119
Speaker 1: Mulor era, maybe because you know January's that literally did happen.

426
00:24:26,160 --> 00:24:29,000
Speaker 1: Maybe because he literally did, you know, claim that the

427
00:24:29,040 --> 00:24:32,560
Speaker 1: election was stolen and push all kinds of false elector schemes,

428
00:24:32,920 --> 00:24:35,800
Speaker 1: et cetera. But this is hitting, and whether you care

429
00:24:35,960 --> 00:24:38,560
Speaker 1: or not, I think knowing the details, it matters enough

430
00:24:38,680 --> 00:24:41,920
Speaker 1: to some voters in many of these swing states, in Georgia,

431
00:24:41,920 --> 00:24:45,679
Speaker 1: in Arizona and Pennsylvania, and all across the country. So

432
00:24:45,840 --> 00:24:48,040
Speaker 1: let me just give you some of the details of

433
00:24:48,080 --> 00:24:53,240
Speaker 1: these potential charges. The first one here listed obstruction of

434
00:24:53,280 --> 00:24:57,359
Speaker 1: an official proceeding. Based on some reading and research I

435
00:24:57,400 --> 00:24:59,959
Speaker 1: did before, that seems to be the one that is

436
00:25:00,119 --> 00:25:03,879
Speaker 1: sort of the most clear cut. This CBS News article

437
00:25:03,920 --> 00:25:06,800
Speaker 1: we had at before says for its recommendation of prosecuting

438
00:25:06,840 --> 00:25:10,240
Speaker 1: Trump for obstruction of an official proceeding. They argued he

439
00:25:10,440 --> 00:25:13,920
Speaker 1: was directly and personally involved in the effort to delay

440
00:25:14,160 --> 00:25:17,840
Speaker 1: the counting of the Electoral College votes during that January

441
00:25:17,880 --> 00:25:21,600
Speaker 1: sixth Joint Session of Congress and acted with a corrupt purpose.

442
00:25:21,640 --> 00:25:24,520
Speaker 1: They cited not only Trump's attempt to pressure Pence, but

443
00:25:24,680 --> 00:25:28,640
Speaker 1: also the plan to submit fake slates of electors to Congress,

444
00:25:28,680 --> 00:25:31,320
Speaker 1: So obstruction of an official proceeding. We've seen some of

445
00:25:31,359 --> 00:25:34,200
Speaker 1: the January sixth defendants already charged with that as well.

446
00:25:34,600 --> 00:25:37,840
Speaker 1: That one seems like it is the most straightforward and

447
00:25:37,920 --> 00:25:41,080
Speaker 1: potentially the most clear cut. The next one they list

448
00:25:41,160 --> 00:25:45,960
Speaker 1: here is conspiracy to defraud the United States, And this one,

449
00:25:46,200 --> 00:25:48,760
Speaker 1: you know, there is a clear cut case here, but

450
00:25:48,840 --> 00:25:52,679
Speaker 1: it'd be a somewhat novel application of this law, and

451
00:25:52,880 --> 00:25:56,240
Speaker 1: federal government prosecutors tend to be very sort of conservative

452
00:25:56,240 --> 00:25:59,639
Speaker 1: in their approach. They don't particularly like to use novel

453
00:25:59,640 --> 00:26:02,760
Speaker 1: concess of a law. But what they say here is

454
00:26:02,800 --> 00:26:06,840
Speaker 1: that for this possible violation, the panel again cited what

455
00:26:06,960 --> 00:26:09,159
Speaker 1: it said was Trump's multi part plan to reverse the

456
00:26:09,160 --> 00:26:11,800
Speaker 1: outcome of the election, as well as Jeffrey Clark, one

457
00:26:11,840 --> 00:26:14,640
Speaker 1: of his lawyers, participation in the effort to keep Trump

458
00:26:14,720 --> 00:26:17,960
Speaker 1: in office. They also highlighted Trump's repeated claims the twenty

459
00:26:18,040 --> 00:26:21,240
Speaker 1: twenty election was rife with fraud, despite having been told

460
00:26:21,440 --> 00:26:24,920
Speaker 1: by multiple close aids there was no evidence of significant fraud.

461
00:26:24,960 --> 00:26:28,159
Speaker 1: So basically the argument here in terms of defrauding the

462
00:26:28,200 --> 00:26:30,760
Speaker 1: country is that you knew this was a lie, you

463
00:26:30,840 --> 00:26:34,400
Speaker 1: persisted with the lie, you attempted to disrupt the certification,

464
00:26:34,600 --> 00:26:39,640
Speaker 1: and therefore this would be a charge of conspiracy to defraud. Again,

465
00:26:39,680 --> 00:26:42,520
Speaker 1: this is one that the analysis I saw said it

466
00:26:42,520 --> 00:26:44,800
Speaker 1: would be a bit of a novel application, so maybe

467
00:26:44,920 --> 00:26:49,360
Speaker 1: somewhat less likely. The next one is conspiracy to make

468
00:26:49,400 --> 00:26:52,240
Speaker 1: a false statement. They say this is based on the

469
00:26:52,320 --> 00:26:55,399
Speaker 1: fake slate of electors submitted by Trump supporters to Congress

470
00:26:55,400 --> 00:26:57,960
Speaker 1: and the National Archives. And then the last one, which

471
00:26:58,000 --> 00:27:01,160
Speaker 1: is sort of the biggest and most eye catching, would

472
00:27:01,200 --> 00:27:06,560
Speaker 1: be inciting, assisting, aiding, and comforting, and insurrection. They argue

473
00:27:06,560 --> 00:27:09,639
Speaker 1: Trump's actions related to the capital assault constitute a violation

474
00:27:09,720 --> 00:27:13,920
Speaker 1: of federal law regarding assisting or aiding and comforting and insurrections. Specifically,

475
00:27:13,960 --> 00:27:17,679
Speaker 1: they point to him encouraging his supporters to descending to

476
00:27:17,760 --> 00:27:22,200
Speaker 1: descend on the capital and also for going after Pence

477
00:27:22,240 --> 00:27:25,200
Speaker 1: and claiming he didn't have the courage to discard state

478
00:27:25,240 --> 00:27:27,919
Speaker 1: electoral votes. This one, to me is probably the biggest

479
00:27:27,920 --> 00:27:31,280
Speaker 1: stretch and also runs into the biggest problems in terms

480
00:27:31,320 --> 00:27:35,560
Speaker 1: of protected political speech. So I think it's probably the

481
00:27:35,680 --> 00:27:37,960
Speaker 1: least likely for them to pursue. But you know, the

482
00:27:38,000 --> 00:27:40,119
Speaker 1: other thing to consider with all of this saga is

483
00:27:40,200 --> 00:27:42,320
Speaker 1: number one, Trump is much weaker than he was before

484
00:27:42,359 --> 00:27:47,520
Speaker 1: the midterm elections, So perhaps these political considerations shouldn't be

485
00:27:47,600 --> 00:27:50,440
Speaker 1: taken to an account by the Justice Department, But there's

486
00:27:50,480 --> 00:27:52,320
Speaker 1: no doubt they're looking at this and wondering, you know,

487
00:27:52,359 --> 00:27:54,919
Speaker 1: can the country take it? How strong is Trump, what

488
00:27:55,000 --> 00:27:58,520
Speaker 1: is his supporter is going to ultimately do? And given

489
00:27:58,560 --> 00:28:01,560
Speaker 1: that he is in a relatively weak standing right now politically,

490
00:28:01,680 --> 00:28:04,040
Speaker 1: I would think that has to embolden the Justice Department.

491
00:28:04,400 --> 00:28:08,680
Speaker 1: You also have the Proud Boys trial and Riguetario going

492
00:28:08,720 --> 00:28:11,879
Speaker 1: on right now, and you previously had the Oathkeeper's trial

493
00:28:11,920 --> 00:28:16,119
Speaker 1: where Stuart Rhodes was found guilty of seditious conspiracy. So

494
00:28:16,680 --> 00:28:19,840
Speaker 1: you know, that was a big charge that they laid there.

495
00:28:19,920 --> 00:28:22,040
Speaker 1: That was, you know, kind of a stretch and it

496
00:28:22,160 --> 00:28:24,200
Speaker 1: ended up panning out for them. So that may also

497
00:28:24,320 --> 00:28:27,040
Speaker 1: kind of embolden the Justice Department and the Special Council.

498
00:28:27,440 --> 00:28:30,200
Speaker 1: Jack Ryan, Yeah, I think that's very possible. I think

499
00:28:30,200 --> 00:28:32,800
Speaker 1: it's possible that they do do this, especially considering all

500
00:28:32,840 --> 00:28:35,720
Speaker 1: the other investigations that are happening. They already had him

501
00:28:35,760 --> 00:28:38,840
Speaker 1: under investigations that could fold this as part of the

502
00:28:38,840 --> 00:28:42,000
Speaker 1: broader one, not only including mar A Lago but all

503
00:28:42,040 --> 00:28:45,680
Speaker 1: of the various schemes, including tax including January sixth. So

504
00:28:46,000 --> 00:28:49,120
Speaker 1: I just think in general it contributes to bigger problems

505
00:28:49,120 --> 00:28:51,080
Speaker 1: for Trump. And by the way, speaking of that, Crystal,

506
00:28:51,320 --> 00:28:55,280
Speaker 1: we have his tax return problems. It also could return now, yes,

507
00:28:55,400 --> 00:28:59,840
Speaker 1: that's right. So after exhausting every appeal, House Democrats actually

508
00:28:59,880 --> 00:29:03,160
Speaker 1: have some of his tax returns, the last I think

509
00:29:03,280 --> 00:29:06,240
Speaker 1: six years of returns they have. I'm pretty sure that's

510
00:29:06,280 --> 00:29:09,160
Speaker 1: the right number. And so they're trying to figure out

511
00:29:09,280 --> 00:29:12,240
Speaker 1: what they're going to do with any with them, whether

512
00:29:12,280 --> 00:29:14,880
Speaker 1: they're going to reveal them to the public. There is

513
00:29:15,000 --> 00:29:18,160
Speaker 1: some sort of legal question over whether or not they're

514
00:29:18,200 --> 00:29:20,480
Speaker 1: allowed to reveal them to the public. They want to

515
00:29:20,520 --> 00:29:22,960
Speaker 1: act quickly. They're having actually a meeting and a vote

516
00:29:23,000 --> 00:29:26,680
Speaker 1: on this next week. While Democrats still control the House

517
00:29:26,800 --> 00:29:29,880
Speaker 1: and control power in these committees. The Ways and Means

518
00:29:29,920 --> 00:29:33,160
Speaker 1: Committee is the relevant one here, and so to be

519
00:29:33,280 --> 00:29:36,080
Speaker 1: determined how much of those we ultimately see and how

520
00:29:36,160 --> 00:29:38,920
Speaker 1: damaging they are for the president. There's been speculation, of

521
00:29:38,920 --> 00:29:41,480
Speaker 1: course about these returns for a very long time, and

522
00:29:41,800 --> 00:29:44,680
Speaker 1: it'll be interesting to see what, if anything, comes out

523
00:29:44,680 --> 00:29:47,280
Speaker 1: of them. Yeah, that's right. We have the politico tear

524
00:29:47,320 --> 00:29:49,600
Speaker 1: sheet guys. B three we can put up there on

525
00:29:49,640 --> 00:29:52,400
Speaker 1: the screen in terms of how they're poised to release

526
00:29:52,440 --> 00:29:55,440
Speaker 1: the Trump tax secrets, how exactly the scheme that they're

527
00:29:55,440 --> 00:29:57,720
Speaker 1: going to do it. Not even sure if will necessarily

528
00:29:57,800 --> 00:30:02,160
Speaker 1: learn anything bombshell all though. Look, I mean, from transparency's sake,

529
00:30:02,240 --> 00:30:06,040
Speaker 1: it's always good to see exactly what the president of

530
00:30:06,080 --> 00:30:09,120
Speaker 1: the United States is getting his income from. From where

531
00:30:09,200 --> 00:30:12,960
Speaker 1: we can see his various businesses, net worth, etc. We

532
00:30:13,000 --> 00:30:15,800
Speaker 1: can either put to bed or look into any foreign

533
00:30:15,840 --> 00:30:18,719
Speaker 1: ties and more. And I'm personally very interested to see

534
00:30:18,840 --> 00:30:23,040
Speaker 1: if we can learn anything from these tax returns. Yeah. Absolutely,

535
00:30:23,280 --> 00:30:25,480
Speaker 1: I mean, listen, that's been a long time coming. At

536
00:30:25,480 --> 00:30:27,640
Speaker 1: this point, We've had so many scandals with Trump that

537
00:30:27,680 --> 00:30:30,080
Speaker 1: I'm not sure there's anything in the tough tax returns

538
00:30:30,080 --> 00:30:33,240
Speaker 1: that could shock us that other things have shocked us

539
00:30:33,240 --> 00:30:36,080
Speaker 1: with Trump were associated at this point. But it's to

540
00:30:36,080 --> 00:30:39,239
Speaker 1: be interesting and good for the interest of transparency. So

541
00:30:39,280 --> 00:30:45,520
Speaker 1: one more thing kind of hanging over his head. Let's

542
00:30:45,560 --> 00:30:48,600
Speaker 1: get to this next story, which I am fascinated with

543
00:30:48,720 --> 00:30:52,800
Speaker 1: on a variety of levels. So there's this dude named

544
00:30:52,840 --> 00:30:58,280
Speaker 1: George Santos who just won a suburban New York District

545
00:30:58,440 --> 00:31:02,720
Speaker 1: for Congress. This was a hard fought race, and he

546
00:31:02,800 --> 00:31:06,520
Speaker 1: portrayed himself as an immigrant who was the sort of

547
00:31:06,640 --> 00:31:11,600
Speaker 1: like classic embodiment of the American dream, successful business owner.

548
00:31:11,760 --> 00:31:14,600
Speaker 1: He had this whole rags to riches story that he

549
00:31:14,720 --> 00:31:17,760
Speaker 1: was peddling. There's about to be a twist in the story,

550
00:31:17,800 --> 00:31:19,960
Speaker 1: but first let's take a listen to how he was

551
00:31:20,000 --> 00:31:26,480
Speaker 1: presenting himself during the campaign leadership. Robert is more of

552
00:31:26,520 --> 00:31:28,959
Speaker 1: the old saying party he's been in. He's been in

553
00:31:28,960 --> 00:31:31,520
Speaker 1: politics for thirty years. I'm a private sector guy. I

554
00:31:31,680 --> 00:31:34,440
Speaker 1: was born and raised in abject poverty in this country,

555
00:31:34,440 --> 00:31:36,960
Speaker 1: and only in this country to somebody who comes from

556
00:31:36,960 --> 00:31:39,600
Speaker 1: a basement apartment in Jackson Heights like I did, is

557
00:31:39,640 --> 00:31:42,480
Speaker 1: able to rise to become a successful business person to

558
00:31:42,520 --> 00:31:44,720
Speaker 1: then run for the United States Congress. I want solutions.

559
00:31:44,800 --> 00:31:46,920
Speaker 1: I don't want so. I don't want michigog. I don't

560
00:31:46,920 --> 00:31:49,120
Speaker 1: want your working points like Robert does all the joy.

561
00:31:49,320 --> 00:31:51,480
Speaker 1: You don't make a living off of this. So he

562
00:31:51,640 --> 00:31:55,520
Speaker 1: made a lot of his personal bio and his you know,

563
00:31:55,640 --> 00:32:00,520
Speaker 1: story of overcoming adversity to be this American success story. Well,

564
00:32:00,800 --> 00:32:03,640
Speaker 1: a little belatedly here the new York Times has dug

565
00:32:03,680 --> 00:32:08,360
Speaker 1: into that biography and found effectively all of it is

566
00:32:08,400 --> 00:32:11,520
Speaker 1: a lie, or at least they could find no basis

567
00:32:11,600 --> 00:32:16,080
Speaker 1: for anything, from where he currently lives, to where his

568
00:32:16,120 --> 00:32:19,560
Speaker 1: income comes from, to where he went to college, to

569
00:32:19,960 --> 00:32:23,440
Speaker 1: previous firms that he worked for. So the headline here

570
00:32:23,560 --> 00:32:27,200
Speaker 1: is who is Representative Elect George Santos? His resume may

571
00:32:27,200 --> 00:32:30,680
Speaker 1: be largely fiction. Mister Santos, a Republican from New York,

572
00:32:30,720 --> 00:32:32,920
Speaker 1: says he's the embodiment of the American dream, but he

573
00:32:32,960 --> 00:32:36,360
Speaker 1: seems to have misrepresented a number of his career highlights.

574
00:32:37,000 --> 00:32:41,440
Speaker 1: That is to say the least. They found that he

575
00:32:41,960 --> 00:32:45,600
Speaker 1: could not verify that. He said he worked at City

576
00:32:45,600 --> 00:32:48,280
Speaker 1: Group in Goldman, Sachs. They said they had no record

577
00:32:48,320 --> 00:32:51,520
Speaker 1: of it. He said he went to Brooke College, They

578
00:32:51,560 --> 00:32:54,160
Speaker 1: said they had no record of him there. He said

579
00:32:54,160 --> 00:32:58,000
Speaker 1: he founded this nonprofit called Friends of Pets. The irs

580
00:32:58,120 --> 00:33:02,120
Speaker 1: that they had no record of that charity. One of

581
00:33:02,160 --> 00:33:05,280
Speaker 1: the greatest mysteries here, Sager, is he does seem to

582
00:33:05,360 --> 00:33:08,480
Speaker 1: have at this point a fair amount of money. He

583
00:33:08,600 --> 00:33:13,320
Speaker 1: donated seven hundred thousand dollars to his own campaign during

584
00:33:13,360 --> 00:33:16,320
Speaker 1: the midterm election, so that kid cash came from somewhere,

585
00:33:16,680 --> 00:33:20,080
Speaker 1: and yet the businesses that he's associated with there's basically

586
00:33:20,120 --> 00:33:22,800
Speaker 1: no records of what type of business they're engaged with.

587
00:33:22,880 --> 00:33:26,120
Speaker 1: He claims to own a number of properties that he

588
00:33:26,200 --> 00:33:29,480
Speaker 1: derives income from, there's no record of what those properties

589
00:33:29,560 --> 00:33:32,400
Speaker 1: ultimately are. He hasn't disclosed them as he's supposed to.

590
00:33:32,960 --> 00:33:36,080
Speaker 1: So there's a whole lot of questions here, up to

591
00:33:36,120 --> 00:33:38,640
Speaker 1: the point of, you know, he has a certain address

592
00:33:38,640 --> 00:33:42,240
Speaker 1: listed of where he votes from. They went to that address,

593
00:33:42,320 --> 00:33:44,560
Speaker 1: and the person there was like, I have no idea

594
00:33:44,600 --> 00:33:47,280
Speaker 1: who or what you're ultimately talking about. Put the next

595
00:33:47,280 --> 00:33:49,560
Speaker 1: piece up here, because this kind of sums it all up.

596
00:33:50,680 --> 00:33:53,320
Speaker 1: They say. This person on Twitter says, let me get

597
00:33:53,360 --> 00:33:57,640
Speaker 1: this straight. George Santos, whose campaign bio is below, lied

598
00:33:57,680 --> 00:34:00,480
Speaker 1: about working for City Group in Goldman Sacks, light about

599
00:34:00,520 --> 00:34:04,120
Speaker 1: graduating from Baroke College, light about having an animal rescue charity,

600
00:34:04,440 --> 00:34:08,960
Speaker 1: made bank doing question Mark, and maybe lied about owning

601
00:34:09,040 --> 00:34:13,919
Speaker 1: a real estate fortune. So a whole lot, whole lot

602
00:34:14,000 --> 00:34:16,839
Speaker 1: going on here ultimately, Cyber. Yeah, But the thing is,

603
00:34:16,960 --> 00:34:20,719
Speaker 1: the money came from somewhere, So who's money. Where did

604
00:34:20,719 --> 00:34:23,520
Speaker 1: this money come from? Who are you dude? There are

605
00:34:23,600 --> 00:34:26,520
Speaker 1: so many questions. My favorite thing, too, is he was

606
00:34:26,600 --> 00:34:30,000
Speaker 1: like in his response to this, he said, George Santos

607
00:34:30,120 --> 00:34:33,960
Speaker 1: is a fighter. George Santos is standing up against the

608
00:34:34,080 --> 00:34:38,840
Speaker 1: corrupt Washington. They're like, I don't care about George Santos

609
00:34:39,280 --> 00:34:42,000
Speaker 1: lying about his resume. That's almost the immediate one. But

610
00:34:42,440 --> 00:34:46,120
Speaker 1: the major one is what the hell was his opponent doing?

611
00:34:46,160 --> 00:34:49,319
Speaker 1: What was the D triple C the Democratic Party doing.

612
00:34:49,360 --> 00:34:51,920
Speaker 1: Let's throw this up there on the screen. How did

613
00:34:51,920 --> 00:34:55,280
Speaker 1: they not catch literally any of this? As this person says,

614
00:34:55,520 --> 00:34:58,359
Speaker 1: apparently the New York Democratic Party, the Nasau and Queen

615
00:34:58,400 --> 00:35:01,640
Speaker 1: Democratic Parties a D triple C. The Zeroman campaign collectively

616
00:35:01,680 --> 00:35:07,239
Speaker 1: employs zero opposition researchers, and even his opponent says, this

617
00:35:07,280 --> 00:35:09,080
Speaker 1: story is not a shock to me. We always knew

618
00:35:09,120 --> 00:35:11,359
Speaker 1: he was running a scam against the voters, but we

619
00:35:11,360 --> 00:35:13,840
Speaker 1: were drowned out in this race where crime was the

620
00:35:13,840 --> 00:35:16,960
Speaker 1: focus in the media had other priorities. I just think

621
00:35:17,000 --> 00:35:20,160
Speaker 1: this is complete cope on behalf of this. Oh yeah,

622
00:35:20,200 --> 00:35:23,400
Speaker 1: whoever this gentleman is, because clearly he did not do

623
00:35:23,520 --> 00:35:26,880
Speaker 1: his due diligence research kind of whatsoever. I mean, Crystal,

624
00:35:26,920 --> 00:35:29,360
Speaker 1: you ran for Congress. I'm assuming that even at the

625
00:35:29,360 --> 00:35:32,640
Speaker 1: most basic level, you have some level of opposition research

626
00:35:32,920 --> 00:35:35,640
Speaker 1: that the Democratic Party provides to you. So this is

627
00:35:35,680 --> 00:35:39,840
Speaker 1: a massive systemic failure on their part. Even the most

628
00:35:39,880 --> 00:35:43,920
Speaker 1: bare bones campaign would hire what is called an opposition

629
00:35:44,000 --> 00:35:47,239
Speaker 1: researcher to look at, Okay, what past statements have this

630
00:35:47,320 --> 00:35:49,759
Speaker 1: person made, what sort of you know, is there a

631
00:35:49,840 --> 00:35:53,479
Speaker 1: criminal record? Are there you know? Is there a tax lean,

632
00:35:54,200 --> 00:35:57,680
Speaker 1: does the bio check out? Is he who he represents

633
00:35:57,800 --> 00:36:01,600
Speaker 1: himself as? So a lot of times, if you're running

634
00:36:01,640 --> 00:36:05,360
Speaker 1: a race that isn't a high priority for the party,

635
00:36:05,760 --> 00:36:07,200
Speaker 1: they don't pick up the tab for that, and they

636
00:36:07,239 --> 00:36:09,400
Speaker 1: don't really do that for you. But the campaign itself

637
00:36:09,440 --> 00:36:12,120
Speaker 1: would do it. But in a race like this, which

638
00:36:12,239 --> 00:36:14,840
Speaker 1: was high profile, which was a real target because this

639
00:36:14,920 --> 00:36:17,319
Speaker 1: was the type of suburban district that frankly across the

640
00:36:17,320 --> 00:36:20,000
Speaker 1: country outside of New York and Florida, Democrats mostly won,

641
00:36:20,560 --> 00:36:23,200
Speaker 1: you would expect actually the party to have done this research.

642
00:36:23,520 --> 00:36:26,200
Speaker 1: And in fact, I saw on an article in Semaphore

643
00:36:26,760 --> 00:36:31,200
Speaker 1: the DRIPLEC that's a Democratic Congressional campaign committee ran by

644
00:36:31,400 --> 00:36:34,439
Speaker 1: Sean Patrick Maloney who also lost his seat, by the way,

645
00:36:34,520 --> 00:36:37,360
Speaker 1: and that's kind of relevant here. They did some research

646
00:36:37,440 --> 00:36:39,600
Speaker 1: on him, but the only things they had were like

647
00:36:39,719 --> 00:36:46,000
Speaker 1: his stupid extremist statements regarding January sixth, and they entirely

648
00:36:46,160 --> 00:36:50,840
Speaker 1: missed the fact that literally every piece of his bio

649
00:36:51,200 --> 00:36:53,839
Speaker 1: fails to check out. And oh, by the way, there's

650
00:36:53,880 --> 00:36:58,640
Speaker 1: also a question of apparently he's accused of check fraud

651
00:36:58,840 --> 00:37:02,839
Speaker 1: in Brazil too, so there's that piece hanging out there

652
00:37:03,000 --> 00:37:08,120
Speaker 1: is petial criminality. So total failure on the part of

653
00:37:08,200 --> 00:37:12,719
Speaker 1: the Democrats as very interesting subplot here as well. But

654
00:37:13,200 --> 00:37:16,160
Speaker 1: it's just amazing to me that someone could lie in

655
00:37:16,200 --> 00:37:19,600
Speaker 1: this day and age about every part of their bio

656
00:37:20,280 --> 00:37:23,240
Speaker 1: and basically get away with it enough to get elected.

657
00:37:23,280 --> 00:37:24,840
Speaker 1: I mean, I think the next time around was going

658
00:37:24,920 --> 00:37:26,759
Speaker 1: to be tough for him anyway, because it is a

659
00:37:26,840 --> 00:37:29,239
Speaker 1: kind of a challenging district. Now I think it's going

660
00:37:29,280 --> 00:37:32,839
Speaker 1: to be very difficult Republican leadership. They're basically keeping their

661
00:37:32,840 --> 00:37:35,080
Speaker 1: mouths shut. They haven't had much of a comment on

662
00:37:35,120 --> 00:37:37,760
Speaker 1: this at all. We do have a comment from mister Santos.

663
00:37:37,800 --> 00:37:39,200
Speaker 1: Let me pull it up here on my computer and

664
00:37:39,239 --> 00:37:42,360
Speaker 1: I can read it to you guys. He says, and

665
00:37:42,400 --> 00:37:45,480
Speaker 1: this is funny too, George Santos represents and we can

666
00:37:45,480 --> 00:37:46,759
Speaker 1: go ahead and put this up on the screen, the

667
00:37:46,840 --> 00:37:49,120
Speaker 1: kind of progress that the left is so threatened by

668
00:37:49,520 --> 00:37:53,239
Speaker 1: a gay Latino, first generation American and Republican who want

669
00:37:53,239 --> 00:37:57,200
Speaker 1: a Biden district an overwhelming fashion by showing everyday voters

670
00:37:57,239 --> 00:38:00,320
Speaker 1: there is a better option than the broken promises, failed

671
00:38:00,320 --> 00:38:03,319
Speaker 1: policies of the Democratic Party. After four years in the

672
00:38:03,360 --> 00:38:05,799
Speaker 1: public eye and on the verge of being sworn in

673
00:38:05,920 --> 00:38:08,240
Speaker 1: as a member of Congress, the New York Times launches

674
00:38:08,320 --> 00:38:12,200
Speaker 1: this shotgun blast of attacks. It's no surprise that Congressman

675
00:38:12,200 --> 00:38:14,440
Speaker 1: Alex Santos has enemies that The New York Times are

676
00:38:14,480 --> 00:38:18,000
Speaker 1: attempting to smear his good name with these defamatory allegations.

677
00:38:18,400 --> 00:38:23,360
Speaker 1: As Winston Churchill famously stated, you have enemies good it

678
00:38:23,520 --> 00:38:27,680
Speaker 1: means that you've stood up for something sometime in your life.

679
00:38:27,719 --> 00:38:31,600
Speaker 1: So there's a lot going on there. Most importantly, he

680
00:38:31,640 --> 00:38:35,799
Speaker 1: doesn't actually deny any of the allegations. Number one. Number two,

681
00:38:36,040 --> 00:38:39,239
Speaker 1: I love the use of identity politics when it's convenient,

682
00:38:39,400 --> 00:38:42,760
Speaker 1: you know, a first born son of immigrants or whatever

683
00:38:42,800 --> 00:38:46,279
Speaker 1: he says there. And then I also love that he

684
00:38:46,440 --> 00:38:49,759
Speaker 1: uses this Winston Churchill quote, which is actually not even

685
00:38:49,800 --> 00:38:53,279
Speaker 1: a Winston Churchill quote. So while denying that he like

686
00:38:54,200 --> 00:38:56,520
Speaker 1: lied about all of the details of his bio, he

687
00:38:56,600 --> 00:38:59,360
Speaker 1: also managed to lie about a Winston Churchill quote. So

688
00:38:59,440 --> 00:39:02,120
Speaker 1: good job there. Yeah, it's all just a little bit

689
00:39:02,160 --> 00:39:04,480
Speaker 1: too perfect. Will it matter, I don't know. I mean,

690
00:39:04,600 --> 00:39:07,440
Speaker 1: Richard Blumenthal lied about getting drafted, right, he's still a

691
00:39:07,480 --> 00:39:10,960
Speaker 1: Senator from Connecticut. This is a little bit more extreme.

692
00:39:11,520 --> 00:39:14,640
Speaker 1: Will at all? Will the Republicans seed him? Will they

693
00:39:14,640 --> 00:39:18,400
Speaker 1: do anything about it? Probably? Right? Will he resigned? Doesn't

694
00:39:18,440 --> 00:39:21,080
Speaker 1: look like it, but yeah, amazing and a huge failure

695
00:39:21,080 --> 00:39:25,560
Speaker 1: by the Democratic Party here. Yeah. Well, and Kevin McCarthy. Obviously,

696
00:39:25,600 --> 00:39:28,279
Speaker 1: they have a very narrow majority in the House to

697
00:39:28,320 --> 00:39:30,440
Speaker 1: start with, so they don't want to do anything about it.

698
00:39:30,480 --> 00:39:33,520
Speaker 1: And this guy has pledged his vote for Kevin McCarthy

699
00:39:33,560 --> 00:39:35,680
Speaker 1: as Speaker of the House, and Kevin McCarthy is having

700
00:39:35,680 --> 00:39:37,520
Speaker 1: trouble gathering the votes to be able to do this,

701
00:39:37,920 --> 00:39:41,879
Speaker 1: So don't expect an encourage here from the Republicans. And

702
00:39:42,080 --> 00:39:45,760
Speaker 1: one more, just brazen detail about the web of lies

703
00:39:45,760 --> 00:39:48,440
Speaker 1: that he apparently created. He said at one point that

704
00:39:48,520 --> 00:39:53,280
Speaker 1: he had lost four employees in the Pulse nightclub shooting.

705
00:39:54,160 --> 00:39:58,920
Speaker 1: That also looks to be a complete fabrication. So again

706
00:39:59,160 --> 00:40:02,360
Speaker 1: just to show you that the extent of the brazen

707
00:40:02,800 --> 00:40:05,560
Speaker 1: lies that this guy just created out of whole cloth,

708
00:40:05,719 --> 00:40:09,160
Speaker 1: it is quite astonishing, quite astonishing. That is such a

709
00:40:09,200 --> 00:40:13,320
Speaker 1: scumbag move. Yeah, okay, it's disgusting. Let's move on, speaking

710
00:40:13,320 --> 00:40:17,680
Speaker 1: of liars, speaking of scumbags, and speaking of potential justice.

711
00:40:17,920 --> 00:40:19,800
Speaker 1: Let's go ahead and put this up there on the screen.

712
00:40:19,880 --> 00:40:24,680
Speaker 1: Some real weird movie and shaking happening in the courtroom yesterday.

713
00:40:24,760 --> 00:40:29,400
Speaker 1: So SBF, in a very confusing courtroom appearance, appears to

714
00:40:29,480 --> 00:40:35,320
Speaker 1: have now agreed to be extradited to the United States. However,

715
00:40:35,560 --> 00:40:39,759
Speaker 1: this all came amidst an insane court hearing where the

716
00:40:39,880 --> 00:40:44,239
Speaker 1: lawyers had gathered in Bahamian court where SBF's lawyer was

717
00:40:44,239 --> 00:40:47,200
Speaker 1: about to agree to extradition, but then he said he

718
00:40:47,280 --> 00:40:50,720
Speaker 1: was quote shocked to see SBF actually in the court

719
00:40:50,960 --> 00:40:53,480
Speaker 1: and said he needed to then talk to them. Then

720
00:40:53,920 --> 00:40:57,920
Speaker 1: the judge granted this. SBF and his lawyer were conferring.

721
00:40:58,200 --> 00:41:02,000
Speaker 1: The Bahamian lawyers appeared to be in chaos, and ultimately

722
00:41:02,160 --> 00:41:05,280
Speaker 1: the end result appears and again appears to be Remember

723
00:41:05,320 --> 00:41:07,560
Speaker 1: we are not dealing with the US Department of Justice here.

724
00:41:07,760 --> 00:41:11,440
Speaker 1: He appears to say he will agree to be extradited

725
00:41:11,680 --> 00:41:14,160
Speaker 1: to the United States. Once he is, he will be

726
00:41:14,239 --> 00:41:17,360
Speaker 1: reigned in the Federal District Court in Manhattan and likely

727
00:41:17,400 --> 00:41:21,600
Speaker 1: detained at the Metropolitan Detention Center in Brooklyn pending a

728
00:41:21,640 --> 00:41:24,720
Speaker 1: bail hearing. Is very unlikely he will be granted bail, however,

729
00:41:24,760 --> 00:41:27,200
Speaker 1: given a flight risk and all of that, Although it's

730
00:41:27,239 --> 00:41:30,560
Speaker 1: technically possible, why does that mean this matter? The moment

731
00:41:30,600 --> 00:41:32,760
Speaker 1: that he gets to the US. That's what an actual

732
00:41:32,960 --> 00:41:37,280
Speaker 1: US legal proceedings can begin. And Crystal SBF is saying

733
00:41:37,560 --> 00:41:40,840
Speaker 1: the reason why he's being agreed to the extradited to

734
00:41:40,840 --> 00:41:43,440
Speaker 1: the United States is because he quote wants to do

735
00:41:43,560 --> 00:41:47,239
Speaker 1: right by his customers and make his customers whole. Now,

736
00:41:47,320 --> 00:41:49,840
Speaker 1: I think that has to do less with him appearing

737
00:41:49,920 --> 00:41:52,640
Speaker 1: in the US court and more likely to do with

738
00:41:53,280 --> 00:41:57,080
Speaker 1: the actual money that he allegedly stole. The also interesting

739
00:41:57,520 --> 00:41:59,760
Speaker 1: corollary to this is that you and I were looking

740
00:42:00,160 --> 00:42:02,279
Speaker 1: one of the prison that he's being held in is

741
00:42:02,320 --> 00:42:06,000
Speaker 1: allegedly one of the worst in the entire world. It's

742
00:42:06,040 --> 00:42:09,680
Speaker 1: not exactly rated as a five star facility, so he

743
00:42:09,760 --> 00:42:13,280
Speaker 1: may actually feel that being held in the Bahamas, especially

744
00:42:13,280 --> 00:42:16,839
Speaker 1: given his Medley of like drugs and health conditions and

745
00:42:16,880 --> 00:42:19,560
Speaker 1: all of that. He's probably better off, you know, from

746
00:42:19,560 --> 00:42:23,320
Speaker 1: a health perspective being in the United States, but overall

747
00:42:23,600 --> 00:42:26,240
Speaker 1: it's a big, big problem for him. And it also

748
00:42:26,280 --> 00:42:28,279
Speaker 1: just shows you the amount of chaos that's happening right

749
00:42:28,280 --> 00:42:30,879
Speaker 1: now in the Bahamas with the legal system where they

750
00:42:30,880 --> 00:42:34,959
Speaker 1: are trying their best to finesse what's going on here. Yeah,

751
00:42:35,000 --> 00:42:41,040
Speaker 1: there was speculation immediately that he would drop his attempt

752
00:42:41,120 --> 00:42:44,920
Speaker 1: to fight extradition once he got into this person and

753
00:42:45,000 --> 00:42:49,000
Speaker 1: realize just how horrific it ultimately is, and that seems

754
00:42:49,040 --> 00:42:52,320
Speaker 1: to be exactly what has actually happened. Is he's hoping

755
00:42:52,400 --> 00:42:56,480
Speaker 1: that potentially the situation in the US federal prison system

756
00:42:56,640 --> 00:42:59,799
Speaker 1: is better than the situation that he's facing right now.

757
00:42:59,840 --> 00:43:04,840
Speaker 1: In Pama's sad statement on the state of both prison systems,

758
00:43:04,840 --> 00:43:07,560
Speaker 1: that you know, this is what he's ultimately weighing and

759
00:43:07,600 --> 00:43:09,960
Speaker 1: calculating based on. But yeah, sort of chaos in the

760
00:43:10,000 --> 00:43:13,600
Speaker 1: courtroom yesterday, but ultimately it looks like he is set

761
00:43:13,640 --> 00:43:16,960
Speaker 1: to be extradited. And the other thing Sager is originally

762
00:43:17,000 --> 00:43:19,400
Speaker 1: remember Matt Stellar is pointing out it can take years

763
00:43:19,719 --> 00:43:22,600
Speaker 1: if you fight your extradition, can actually take years to

764
00:43:22,640 --> 00:43:25,239
Speaker 1: be extradited to the US. We now will see a

765
00:43:25,320 --> 00:43:30,239
Speaker 1: much more expedited process so that the criminal proceedings can

766
00:43:30,360 --> 00:43:32,840
Speaker 1: move forward here in the States. Yeah, and at the

767
00:43:32,880 --> 00:43:34,839
Speaker 1: same time, we're actually learning a little bit more about

768
00:43:34,880 --> 00:43:37,839
Speaker 1: his campaign finance operation. Let's put this up there on

769
00:43:37,880 --> 00:43:42,040
Speaker 1: the screen. Brian Schwartz from CNBC going through the indictment.

770
00:43:42,120 --> 00:43:45,080
Speaker 1: What he shows here is that Bankman, Freed and co

771
00:43:45,080 --> 00:43:49,360
Speaker 1: conspirators quote worked with others known and unknown who knowingly combined,

772
00:43:49,400 --> 00:43:53,279
Speaker 1: conspired and agreed to defraud the United States to intentionally

773
00:43:53,320 --> 00:43:57,080
Speaker 1: skirt campaign finance laws. They are reportedly right now looking

774
00:43:57,360 --> 00:44:00,640
Speaker 1: at the former head of Engineering Nishad Singh, the former

775
00:44:00,680 --> 00:44:04,239
Speaker 1: CEO of FTX Digital Markets Ryan Salom, who was one

776
00:44:04,280 --> 00:44:08,200
Speaker 1: of the top Republican donors in the entire country number

777
00:44:08,200 --> 00:44:13,400
Speaker 1: ten overall. For as a GOP donor, they collectively contributed

778
00:44:13,480 --> 00:44:18,560
Speaker 1: some seventy million dollars towards the twenty twenty two midterms,

779
00:44:18,600 --> 00:44:23,120
Speaker 1: which is insane, and SBF himself gave some forty million dollars.

780
00:44:23,320 --> 00:44:26,200
Speaker 1: What they are alleging here is basically a straw donation

781
00:44:26,320 --> 00:44:31,040
Speaker 1: scheme of epic proportions and also including and possibly ensnaring

782
00:44:31,400 --> 00:44:35,600
Speaker 1: his own brother, Gabe Bankman free diverting some twelve million

783
00:44:35,640 --> 00:44:41,120
Speaker 1: dollars to his brother's nonprofit. Another mind, the Gap Superpack,

784
00:44:41,360 --> 00:44:45,760
Speaker 1: which was his mother personally donated some one million dollars

785
00:44:45,800 --> 00:44:50,320
Speaker 1: towards mainly towards democratic issues, and also then using cutouts

786
00:44:50,320 --> 00:44:53,879
Speaker 1: and others and friends to give to his parents' nonprofits.

787
00:44:53,960 --> 00:45:00,200
Speaker 1: So overall you're basically seeing a fraudulent embezzlement scheme of

788
00:45:00,280 --> 00:45:04,719
Speaker 1: massive proportions that has major political ramifications because what the

789
00:45:04,760 --> 00:45:08,520
Speaker 1: indictment the SEC both and the DOJ layout is that

790
00:45:08,600 --> 00:45:12,640
Speaker 1: he was diverting FTX customer funds to Alameda Research is

791
00:45:12,640 --> 00:45:16,120
Speaker 1: privately held hedge fund, and then Alameda Research was both

792
00:45:16,239 --> 00:45:20,240
Speaker 1: loaning billions of dollars to him to other FTX executives

793
00:45:20,280 --> 00:45:22,880
Speaker 1: of which they were using for political donations. But Alameter

794
00:45:22,960 --> 00:45:27,080
Speaker 1: Research itself at the entity level was also giving donations

795
00:45:27,320 --> 00:45:31,200
Speaker 1: both to SBF affiliated nonprofits. All of this, of course

796
00:45:31,400 --> 00:45:34,080
Speaker 1: is a nightmare for him from a tax fraud and

797
00:45:34,160 --> 00:45:37,960
Speaker 1: wirefraud perspective, but it gives you just a good deep

798
00:45:38,040 --> 00:45:41,160
Speaker 1: dive into some twenty two million dollars last year just

799
00:45:41,200 --> 00:45:45,280
Speaker 1: from SBF's brother entity that was able to be raised.

800
00:45:45,560 --> 00:45:49,200
Speaker 1: It doesn't disclose its donors per se, but it does

801
00:45:49,280 --> 00:45:52,880
Speaker 1: show that Alameda Research itself gave twelve million dollars to

802
00:45:52,920 --> 00:45:56,640
Speaker 1: them just in a single period of late last year.

803
00:45:56,719 --> 00:45:59,320
Speaker 1: I mean, and again, all of this is being funded

804
00:45:59,600 --> 00:46:03,880
Speaker 1: with actual dollars from FTX customers. That's what makes it

805
00:46:04,000 --> 00:46:07,200
Speaker 1: goes so skeeedy. This is not money that he rightfully

806
00:46:07,239 --> 00:46:10,440
Speaker 1: earned himself. These are customer funds, according right now to

807
00:46:10,480 --> 00:46:14,640
Speaker 1: the SEC and to the DOJ. There's also some revelations

808
00:46:14,680 --> 00:46:20,240
Speaker 1: here about his sort of personal promotional and brand building,

809
00:46:20,880 --> 00:46:25,600
Speaker 1: because you know, he always positioned his political giving as like, oh,

810
00:46:25,680 --> 00:46:30,040
Speaker 1: this isn't about my own personal profit. I just want

811
00:46:30,080 --> 00:46:32,880
Speaker 1: to make sure that we're ready for the next pandemic.

812
00:46:33,080 --> 00:46:38,280
Speaker 1: This is all about pandemic preparedness, which was always like yeah, okay, buddy.

813
00:46:38,560 --> 00:46:41,200
Speaker 1: But you see it really clearly here with the donations

814
00:46:41,239 --> 00:46:46,600
Speaker 1: to his brother's nonprofit, which was called Guarding against Pandemics.

815
00:46:47,000 --> 00:46:50,000
Speaker 1: And then the brother turns around and gives a bunch

816
00:46:50,040 --> 00:46:53,279
Speaker 1: of this money to you know, direct democratic group, so

817
00:46:53,360 --> 00:46:58,240
Speaker 1: like Voto Latino, which spent the money opposing Gavin Newsom's recall.

818
00:46:58,440 --> 00:47:01,560
Speaker 1: It's like, maybe you could make some sort of tangential

819
00:47:01,640 --> 00:47:05,880
Speaker 1: connection to pandemic preparedness. But this just seems like, you know,

820
00:47:06,280 --> 00:47:11,439
Speaker 1: standard issue democratic political fundraising. Same thing with his mom

821
00:47:11,560 --> 00:47:14,640
Speaker 1: had this political advocacy organization that actually knew about is

822
00:47:14,680 --> 00:47:17,720
Speaker 1: called Mind the Gap. He was donating to her as well,

823
00:47:17,840 --> 00:47:21,719
Speaker 1: or through his cutouts or through Alameda or whatever. So basically,

824
00:47:22,400 --> 00:47:26,320
Speaker 1: he's accused of violating campaign finance law in almost every

825
00:47:26,360 --> 00:47:31,480
Speaker 1: way that you can straw donors, illegal corporate contributions, and

826
00:47:31,560 --> 00:47:36,960
Speaker 1: also using effectively stolen funds in order to fund this giving.

827
00:47:37,400 --> 00:47:41,319
Speaker 1: And then the other allegation here as well is that

828
00:47:41,640 --> 00:47:45,359
Speaker 1: you know, he thought that the press would like him

829
00:47:45,440 --> 00:47:48,760
Speaker 1: giving to Democrats and that this would build his personal brand,

830
00:47:49,239 --> 00:47:51,960
Speaker 1: and so then he uses these other cutouts to give

831
00:47:52,000 --> 00:47:56,080
Speaker 1: to the Republicans he wants to ultimately win over. So

832
00:47:56,400 --> 00:47:59,080
Speaker 1: it's just this piece is maybe the part at this

833
00:47:59,200 --> 00:48:03,239
Speaker 1: point I'm the most most interested in, because you know,

834
00:48:03,400 --> 00:48:07,680
Speaker 1: SPF is going to go to prison, his empires collapsed there.

835
00:48:07,760 --> 00:48:10,319
Speaker 1: It's going to be interesting to see some more of

836
00:48:10,360 --> 00:48:13,239
Speaker 1: the details about how all this went down. But you

837
00:48:13,320 --> 00:48:16,640
Speaker 1: still have these politicians who took this money are still

838
00:48:16,680 --> 00:48:18,880
Speaker 1: in office, and there are still a lot of questions

839
00:48:18,920 --> 00:48:21,960
Speaker 1: about like, Okay, well, what did you do after you've

840
00:48:21,960 --> 00:48:25,680
Speaker 1: got that money? How did you serve this gigantic donor

841
00:48:25,800 --> 00:48:28,400
Speaker 1: who contributed in some case, I mean, gave millions of

842
00:48:28,400 --> 00:48:31,279
Speaker 1: dollars to Joe Biden. You know, did you call off

843
00:48:31,280 --> 00:48:34,880
Speaker 1: the SEC from an earlier investigation that could have saved

844
00:48:34,920 --> 00:48:37,480
Speaker 1: a lot of customers a lot of pain. That's the

845
00:48:37,520 --> 00:48:40,080
Speaker 1: piece that I continue to be really interested in and

846
00:48:40,200 --> 00:48:43,839
Speaker 1: is a really going concern because again, these people are

847
00:48:43,880 --> 00:48:47,919
Speaker 1: still officeholders, and so they still need to be held

848
00:48:47,960 --> 00:48:51,960
Speaker 1: to account, even above and beyond SBF ultimately having his

849
00:48:52,239 --> 00:48:55,319
Speaker 1: day in court and paying a probably very heavy price

850
00:48:55,360 --> 00:48:59,200
Speaker 1: for all of this. I hope that the clawback laws

851
00:48:59,560 --> 00:49:02,160
Speaker 1: don't work work out so well in the politician's favor,

852
00:49:02,200 --> 00:49:04,280
Speaker 1: and that every single one of them has to detail

853
00:49:04,400 --> 00:49:07,600
Speaker 1: exactly how much they got and how much they've given back.

854
00:49:07,640 --> 00:49:09,880
Speaker 1: So the Feds, I'm calling on you to do that

855
00:49:10,320 --> 00:49:13,319
Speaker 1: something useful. All right, let's move on one of our

856
00:49:13,320 --> 00:49:18,240
Speaker 1: favorite segments here. YouTuber Andrew Callahan appeared on Don Lemon's

857
00:49:18,239 --> 00:49:22,200
Speaker 1: show over at CNN to promote a new documentary which

858
00:49:22,239 --> 00:49:25,560
Speaker 1: looks really interesting, and he really triggered Don Lemon when

859
00:49:25,600 --> 00:49:28,200
Speaker 1: he commented on the cable news business model. Let's take

860
00:49:28,239 --> 00:49:31,960
Speaker 1: a listen. The movie's not just about like the Capitol,

861
00:49:32,040 --> 00:49:35,240
Speaker 1: right and all that. It's also about like media echo chambers,

862
00:49:36,160 --> 00:49:38,080
Speaker 1: you know what I mean, and like the dangers of

863
00:49:38,120 --> 00:49:41,319
Speaker 1: the twenty four hour news cycle, and how I think

864
00:49:41,480 --> 00:49:45,800
Speaker 1: mainstream media like Fox and even CNN like competes for

865
00:49:45,920 --> 00:49:49,319
Speaker 1: views by running constant twenty four hour news cycles based

866
00:49:49,360 --> 00:49:54,240
Speaker 1: upon fear, division, outrage, and panic, probably to sell ads.

867
00:49:54,880 --> 00:49:57,759
Speaker 1: So it's not just about the Capitol, right. Yeah, I'm

868
00:49:57,760 --> 00:50:01,080
Speaker 1: not exactly sure, first of all, agree with what you're saying,

869
00:50:01,440 --> 00:50:03,880
Speaker 1: but I'm not exactly sure of how that played into

870
00:50:04,080 --> 00:50:08,720
Speaker 1: people going into the Capitol and rioting on January sixth.

871
00:50:09,560 --> 00:50:13,120
Speaker 1: There's nothing fake about CNN. Oh, I'm not saying like

872
00:50:13,200 --> 00:50:15,880
Speaker 1: fake news. I'm just saying ramping people up and increasing

873
00:50:15,920 --> 00:50:18,640
Speaker 1: division during that period of time, just watching people kind

874
00:50:18,640 --> 00:50:21,080
Speaker 1: of fall down the rabbit hole and be pushed into action.

875
00:50:21,200 --> 00:50:25,480
Speaker 1: Then like just yeah, falling down the conspiracy rabbit hole. Wow,

876
00:50:25,880 --> 00:50:29,839
Speaker 1: he really triggered him there in the most Don Lemon

877
00:50:29,840 --> 00:50:33,160
Speaker 1: way possible. I don't necessarily agree. And look, what you're

878
00:50:33,200 --> 00:50:37,000
Speaker 1: watching is the lack of ability to grapple with what

879
00:50:37,080 --> 00:50:40,959
Speaker 1: their job actually is Andrew has impegged properly. Their job

880
00:50:41,000 --> 00:50:43,120
Speaker 1: is to gin people up so that they stay tuned

881
00:50:43,360 --> 00:50:46,359
Speaker 1: in between the ad breaks. That's it. That's all you're

882
00:50:46,360 --> 00:50:49,480
Speaker 1: supposed to do. The ad breaks are the only business.

883
00:50:49,520 --> 00:50:52,720
Speaker 1: The actual news is just secondary. It's what gets people

884
00:50:52,880 --> 00:50:55,600
Speaker 1: glued to the screen. And so he was like, look,

885
00:50:55,680 --> 00:50:58,760
Speaker 1: you and Fox are both ginning people up, which causes

886
00:50:58,800 --> 00:51:01,319
Speaker 1: people to go down rabbit holes. You do it for

887
00:51:01,640 --> 00:51:06,840
Speaker 1: business purposes, and that has real world consequences in our politics,

888
00:51:06,880 --> 00:51:10,359
Speaker 1: of which resulted in January sixth. I really appreciate him

889
00:51:10,400 --> 00:51:13,360
Speaker 1: not just doing the typical like Fox News doing this

890
00:51:13,480 --> 00:51:15,480
Speaker 1: you know they're the only ones, because yeah, look of

891
00:51:15,480 --> 00:51:17,799
Speaker 1: course they are, but it's everybody. The whole point is

892
00:51:17,800 --> 00:51:20,920
Speaker 1: that it's an entire system which is designed to gin

893
00:51:21,000 --> 00:51:25,080
Speaker 1: up hate against others and which can have devastating consequences

894
00:51:25,080 --> 00:51:29,280
Speaker 1: then in the real world. And look, clearly Donna didn't

895
00:51:29,360 --> 00:51:31,040
Speaker 1: like that very much. And he doesn't want to take

896
00:51:31,280 --> 00:51:34,799
Speaker 1: any responsibility for his own role over the last what

897
00:51:34,960 --> 00:51:37,520
Speaker 1: four years, five years or whatever in the Trump era

898
00:51:37,880 --> 00:51:40,520
Speaker 1: of doing the exact same thing that he accuses Fox

899
00:51:40,560 --> 00:51:43,440
Speaker 1: of doing every single night. Crystal, Yeah, and they want

900
00:51:43,440 --> 00:51:45,000
Speaker 1: to say, oh, We're not as bad as Fox, We're

901
00:51:45,040 --> 00:51:47,359
Speaker 1: not as bad as OAAN, We're not as bad as

902
00:51:47,480 --> 00:51:52,680
Speaker 1: like whoever. But you know, ultimately, CNN, MSNBC, all of

903
00:51:52,719 --> 00:51:56,800
Speaker 1: them are kind of poison. They're all bad for the country.

904
00:51:57,040 --> 00:52:00,480
Speaker 1: And so, you know, Andrew, who is very interesting, a

905
00:52:00,560 --> 00:52:03,319
Speaker 1: really strong creator, actually encourage you to check out his

906
00:52:03,600 --> 00:52:06,719
Speaker 1: YouTube channel. He kind of has them dead to rights here.

907
00:52:06,840 --> 00:52:08,560
Speaker 1: And at the beginning of the segment, they set it

908
00:52:08,640 --> 00:52:12,839
Speaker 1: up like, oh, you know, this is all about January six,

909
00:52:12,920 --> 00:52:15,959
Speaker 1: this new documentary about January six, and he clearly takes

910
00:52:16,000 --> 00:52:18,400
Speaker 1: issue with that, and it's like, well, you're kind of

911
00:52:18,440 --> 00:52:21,759
Speaker 1: missing some of the point here, because you may want

912
00:52:21,800 --> 00:52:26,000
Speaker 1: to use this to just exclusively serve the narratives that

913
00:52:26,040 --> 00:52:29,360
Speaker 1: you're interested in, but there was actually a broader point

914
00:52:29,400 --> 00:52:32,279
Speaker 1: here about the news media's role in this and the

915
00:52:32,280 --> 00:52:34,759
Speaker 1: divisiveness of that and the problem with the twenty four

916
00:52:34,880 --> 00:52:38,640
Speaker 1: hour news cycle and serving your advertisers and keeople keeping

917
00:52:38,640 --> 00:52:41,600
Speaker 1: people glued to the screen. And he and Caitlyn Collins

918
00:52:41,600 --> 00:52:44,680
Speaker 1: both get very uncomfortable with that part of the conversation

919
00:52:44,880 --> 00:52:47,680
Speaker 1: immediately try to shut it down and move back to

920
00:52:47,719 --> 00:52:51,480
Speaker 1: the points that they are comfortable opening on. Yeah, I mean,

921
00:52:51,680 --> 00:52:54,000
Speaker 1: I think one of the I encourage people to watch

922
00:52:54,360 --> 00:52:57,359
Speaker 1: this trailer and to check out the doc whenever it's out.

923
00:52:57,440 --> 00:53:01,160
Speaker 1: I also watched Into the Storm, the QAnon documentary, and

924
00:53:01,239 --> 00:53:03,719
Speaker 1: I just came away with that with like a much

925
00:53:03,760 --> 00:53:06,520
Speaker 1: deeper understanding of like, wow, like this stuff is real.

926
00:53:06,800 --> 00:53:10,719
Speaker 1: You know, people really can just lose themselves entirely in

927
00:53:10,760 --> 00:53:13,880
Speaker 1: this And it's a broader societal problem of which the

928
00:53:13,960 --> 00:53:17,520
Speaker 1: media is complicit in. But there's also many other structural factors,

929
00:53:17,560 --> 00:53:20,360
Speaker 1: and unfortunately, the Don Lemons of the world just simply

930
00:53:20,360 --> 00:53:22,480
Speaker 1: don't want a question, not even their own complicity, but

931
00:53:22,640 --> 00:53:25,640
Speaker 1: what leads to society to like get to this point

932
00:53:25,960 --> 00:53:29,440
Speaker 1: where people are so angry that they're willing to willing

933
00:53:29,440 --> 00:53:33,920
Speaker 1: to storm the Capitol based on the word of Donald J. Trump.

934
00:53:34,719 --> 00:53:36,759
Speaker 1: That's a really interesting question if you want to look

935
00:53:36,800 --> 00:53:39,000
Speaker 1: into it. It doesn't have to be just you know,

936
00:53:39,160 --> 00:53:42,600
Speaker 1: like about other people being bad. But you know, whenever

937
00:53:42,840 --> 00:53:45,560
Speaker 1: you have the business model that they do well, that

938
00:53:45,680 --> 00:53:48,560
Speaker 1: really is the only one dimensional view that you're allowed

939
00:53:48,560 --> 00:53:51,560
Speaker 1: to take. So I really appreciated his appearance on CNN

940
00:53:51,600 --> 00:53:53,879
Speaker 1: and kind of setting the record straight. I also love

941
00:53:53,960 --> 00:53:56,080
Speaker 1: that he is just very He's like, yo, come on.

942
00:53:56,239 --> 00:53:58,440
Speaker 1: He's like, that's what you guys are willing to do

943
00:53:58,520 --> 00:54:00,960
Speaker 1: here in his own very drew way. It was great.

944
00:54:01,560 --> 00:54:04,000
Speaker 1: The other thing that I enjoyed about this exchange is

945
00:54:04,040 --> 00:54:06,520
Speaker 1: it was sort of like two worlds colliding. You know,

946
00:54:06,680 --> 00:54:09,000
Speaker 1: they don't quite know what to do with him, and

947
00:54:09,200 --> 00:54:14,200
Speaker 1: it is like a traditional media in new independent media,

948
00:54:14,880 --> 00:54:18,440
Speaker 1: like being oil and water. Effectively in this interview with

949
00:54:18,640 --> 00:54:23,000
Speaker 1: they're engaged in two very different processes and engaged in

950
00:54:23,040 --> 00:54:26,239
Speaker 1: two very different activities. So it's kind of funny to

951
00:54:26,239 --> 00:54:29,440
Speaker 1: see those two worlds collide and Lemon and Caitlin Collins

952
00:54:29,440 --> 00:54:35,280
Speaker 1: really having no idea what to do with him. All right, Crystal,

953
00:54:35,320 --> 00:54:37,040
Speaker 1: what do you take a look at? So, guys, the

954
00:54:37,440 --> 00:54:42,720
Speaker 1: Federal Trade Commission has now settled with Fortnite game maker

955
00:54:42,880 --> 00:54:47,680
Speaker 1: Epic Games for a massive amount of money over violations

956
00:54:47,719 --> 00:54:52,799
Speaker 1: of children's privacy and also these sort of efforts to

957
00:54:53,400 --> 00:54:56,000
Speaker 1: get customers to pay for things that they didn't actually

958
00:54:56,080 --> 00:54:57,839
Speaker 1: want to buy. Let's go and put this tear sheet

959
00:54:57,920 --> 00:54:59,319
Speaker 1: up on the screen and I can give you all

960
00:54:59,320 --> 00:55:02,760
Speaker 1: of the details. This from tech Crunch, they say FTC

961
00:55:03,480 --> 00:55:07,600
Speaker 1: finds Fortnite maker Epic Games five hundred and twenty million

962
00:55:07,680 --> 00:55:11,920
Speaker 1: dollars over children's privacy and item shop charges. Let me

963
00:55:11,960 --> 00:55:13,560
Speaker 1: give you a little bit of the details here and

964
00:55:13,560 --> 00:55:15,919
Speaker 1: then I can show you the FTC press release as well.

965
00:55:15,960 --> 00:55:18,239
Speaker 1: So they say that five hundred and twenty million dollar

966
00:55:18,320 --> 00:55:22,280
Speaker 1: payment is actually divided into two settlements. There's a Kappa

967
00:55:22,640 --> 00:55:25,400
Speaker 1: fine that is two hundred and seventy five million dollars

968
00:55:25,760 --> 00:55:31,640
Speaker 1: largest ever penalty for violating an FTC rule. And then separately,

969
00:55:32,120 --> 00:55:34,640
Speaker 1: there was a two hundred and forty five million dollar

970
00:55:34,920 --> 00:55:39,560
Speaker 1: fine of Epic that is actually to refund customers for

971
00:55:39,640 --> 00:55:43,880
Speaker 1: what it calls dark patterns and billing practices. Epic says

972
00:55:43,920 --> 00:55:46,799
Speaker 1: that they're going to pay both of these fines, the

973
00:55:46,880 --> 00:55:50,359
Speaker 1: latter of which will be the FTC's largest ever refund

974
00:55:50,480 --> 00:55:52,880
Speaker 1: amount in a gaming case. So if you are a

975
00:55:52,920 --> 00:55:56,759
Speaker 1: Fortnite player, you might be eligible for a refund from

976
00:55:56,760 --> 00:55:59,200
Speaker 1: this two hundred and forty five million dollar fund. I

977
00:55:59,200 --> 00:56:01,279
Speaker 1: do want to read to you you what Epic has

978
00:56:01,320 --> 00:56:03,239
Speaker 1: to say about all of this, and then I'll get

979
00:56:03,280 --> 00:56:06,560
Speaker 1: into the FTC press release and what exactly they say

980
00:56:06,719 --> 00:56:11,160
Speaker 1: that Epic ultimately did wrong here. So Epic says, statutes

981
00:56:11,160 --> 00:56:15,040
Speaker 1: written decades ago don't specify how gaming ecosystems should operate.

982
00:56:15,320 --> 00:56:18,080
Speaker 1: The laws have not changed, but their application has evolved

983
00:56:18,080 --> 00:56:21,360
Speaker 1: and long standing industry practices are no longer enough. We

984
00:56:21,520 --> 00:56:24,239
Speaker 1: accepted this agreement because we want Epic to be at

985
00:56:24,280 --> 00:56:27,920
Speaker 1: the forefront of consumer protection and provide the best experience

986
00:56:28,000 --> 00:56:31,200
Speaker 1: for our players. And I do want to say some

987
00:56:31,280 --> 00:56:34,640
Speaker 1: of the practices that are detailed here they have made

988
00:56:34,800 --> 00:56:38,880
Speaker 1: changes in order to better comply with the law and

989
00:56:39,000 --> 00:56:43,400
Speaker 1: not run a fell of FTC regulations. So these finds

990
00:56:43,440 --> 00:56:45,760
Speaker 1: really have to do more with some of their actions

991
00:56:45,760 --> 00:56:47,800
Speaker 1: and failures in the past. Let me go ahead and

992
00:56:47,840 --> 00:56:51,000
Speaker 1: put this FTC press release up on the screen that

993
00:56:51,160 --> 00:56:54,120
Speaker 1: details some of the problems here. The first has to

994
00:56:54,160 --> 00:56:58,880
Speaker 1: do with these Children's Privacy Act. They say that Epic

995
00:56:59,080 --> 00:57:03,960
Speaker 1: collected person data from children without first obtaining parents verifiable consent,

996
00:57:04,280 --> 00:57:07,800
Speaker 1: so that runs a foul of regulation. They also say

997
00:57:07,960 --> 00:57:12,280
Speaker 1: that since Epic settings enable live on by default text

998
00:57:12,400 --> 00:57:18,080
Speaker 1: and voice communications, Epic was matching children and teens with

999
00:57:18,240 --> 00:57:22,560
Speaker 1: strangers to play Fortnite together, and they harm children and

1000
00:57:22,600 --> 00:57:25,160
Speaker 1: teens in the process. They say children and teens have

1001
00:57:25,240 --> 00:57:29,600
Speaker 1: been bullied, threatened, harassed, and exposed to dangerous and psychologically

1002
00:57:29,640 --> 00:57:32,920
Speaker 1: traumatizing issues such as suicide wall on Fortnite, and I

1003
00:57:32,960 --> 00:57:37,480
Speaker 1: read through this entire complaint effectively. What was happening is

1004
00:57:37,640 --> 00:57:40,000
Speaker 1: if I'm not a gamer, so forgive me for sounding

1005
00:57:40,120 --> 00:57:42,640
Speaker 1: like clunky and cringe and describing this. But when you

1006
00:57:42,680 --> 00:57:46,160
Speaker 1: log on, you are sort of automatically put into these

1007
00:57:46,560 --> 00:57:50,000
Speaker 1: chat rooms and ability to talk directly to players that

1008
00:57:50,040 --> 00:57:53,560
Speaker 1: you're playing with or playing against. And they knew that

1009
00:57:53,640 --> 00:57:57,760
Speaker 1: these were kids, sometimes little kids. The game is explicitly

1010
00:57:57,800 --> 00:58:01,360
Speaker 1: marketed to little kids, and that's reflected the fact they're,

1011
00:58:01,440 --> 00:58:03,840
Speaker 1: you know, selling merchandise to kids. It's clear in their

1012
00:58:03,840 --> 00:58:08,200
Speaker 1: corporate communications. And they're matching these little kids with grown

1013
00:58:08,280 --> 00:58:12,880
Speaker 1: up adults who are you know, which is like wildly inappropriate.

1014
00:58:13,240 --> 00:58:17,120
Speaker 1: And it was very hard to opt out of participating

1015
00:58:17,240 --> 00:58:19,840
Speaker 1: in this live chat. Now I believe this is one

1016
00:58:19,880 --> 00:58:22,880
Speaker 1: of the areas that Epic Games has now changed to

1017
00:58:22,920 --> 00:58:25,480
Speaker 1: make it easier to opt out of this. And then

1018
00:58:25,520 --> 00:58:30,640
Speaker 1: the other piece was collecting children's data without getting their

1019
00:58:30,680 --> 00:58:33,720
Speaker 1: parents consent. That is just like a blatant violation of

1020
00:58:33,760 --> 00:58:37,040
Speaker 1: this particular regulation. God put the press release back up

1021
00:58:37,080 --> 00:58:39,480
Speaker 1: on the screen, because there's another piece of this. This

1022
00:58:39,560 --> 00:58:43,600
Speaker 1: is where they were basically manipulating their customers into buying

1023
00:58:43,640 --> 00:58:46,760
Speaker 1: things that they didn't really intend to buy. They call

1024
00:58:46,840 --> 00:58:50,640
Speaker 1: this dark patterns. They say that the company has deployed

1025
00:58:50,640 --> 00:58:53,360
Speaker 1: a variety of dark patterns trying to get consumers of

1026
00:58:53,360 --> 00:58:59,160
Speaker 1: all ages to make unintended in game purchases. They for example,

1027
00:58:59,680 --> 00:59:03,120
Speaker 1: would charge them while they're attempting to wake the game

1028
00:59:03,160 --> 00:59:04,880
Speaker 1: from sleep mode, or while the game was in a

1029
00:59:04,920 --> 00:59:08,240
Speaker 1: loading screen, or by pressing an adjacent button while attempting

1030
00:59:08,280 --> 00:59:11,400
Speaker 1: to simply preview an item. These tactics led to hundreds

1031
00:59:11,400 --> 00:59:16,080
Speaker 1: of millions of dollars in unauthorized charges for consumers. And

1032
00:59:16,160 --> 00:59:18,960
Speaker 1: an important part of this too, had to do with children.

1033
00:59:19,000 --> 00:59:23,440
Speaker 1: Once again, basically, once they had gotten their parents' credit

1034
00:59:23,440 --> 00:59:27,320
Speaker 1: card information entered in once they could just press a

1035
00:59:27,360 --> 00:59:31,760
Speaker 1: button and continually charge their parents' credit card without the

1036
00:59:31,800 --> 00:59:35,640
Speaker 1: parent having any idea, and it was very easy to

1037
00:59:35,680 --> 00:59:38,120
Speaker 1: do and in fact, sometimes it would happen without you

1038
00:59:38,200 --> 00:59:41,800
Speaker 1: even intending to buy whatever you were buying. And then

1039
00:59:41,840 --> 00:59:45,920
Speaker 1: if you disputed charges on the account they also accused

1040
00:59:45,960 --> 00:59:48,720
Speaker 1: Epic of they would freeze your account if you disputed

1041
00:59:48,720 --> 00:59:51,800
Speaker 1: a charge, wouldn't let you use any of the stuff

1042
00:59:51,800 --> 00:59:54,960
Speaker 1: that you had actually you know, authorized and purchased, and

1043
00:59:55,000 --> 00:59:57,840
Speaker 1: they threatened to lock you out of your account entirely

1044
00:59:58,120 --> 01:00:02,560
Speaker 1: if you persisted with disputing any of these credit card charges.

1045
01:00:02,600 --> 01:00:06,640
Speaker 1: So just sort of like blatant consumer manipulation and abuse

1046
01:00:06,680 --> 01:00:10,880
Speaker 1: here ultimately, Sager, And one of the things, Saga, that

1047
01:00:10,960 --> 01:00:13,520
Speaker 1: I was remembering and why this really struck a chord

1048
01:00:13,600 --> 01:00:15,560
Speaker 1: with me, And if you want to hear my reaction

1049
01:00:15,720 --> 01:00:19,280
Speaker 1: to Crystal's monologue, become a premium subscriber today at Breakingpoints

1050
01:00:19,320 --> 01:00:25,320
Speaker 1: dot com. All right, Saga, what are you looking at? Well,

1051
01:00:25,520 --> 01:00:27,400
Speaker 1: you may have noticed in the news that there are

1052
01:00:27,440 --> 01:00:30,160
Speaker 1: a couple of things going on with respect to public health.

1053
01:00:30,240 --> 01:00:32,240
Speaker 1: Number one is in China. Let's go ahead and put

1054
01:00:32,280 --> 01:00:34,880
Speaker 1: this up there on the screen. After the Chinese Communist

1055
01:00:34,920 --> 01:00:38,680
Speaker 1: Party has been forced to recede from its COVID zero

1056
01:00:39,080 --> 01:00:42,560
Speaker 1: idiotic policies. Now it turns out there is a mass

1057
01:00:42,560 --> 01:00:45,880
Speaker 1: outbreak of COVID inside of China, both wreaking havoc on

1058
01:00:45,960 --> 01:00:49,080
Speaker 1: the elderly, and some ten percent of the entire world's

1059
01:00:49,080 --> 01:00:52,200
Speaker 1: population could be infected with COVID in the coming weeks,

1060
01:00:52,240 --> 01:00:55,600
Speaker 1: given how widely spread the virus is, with which they

1061
01:00:55,640 --> 01:00:58,720
Speaker 1: have almost no plan to deal with it. Second, actually,

1062
01:00:58,800 --> 01:01:00,880
Speaker 1: and what I wanted to combine with this is what's

1063
01:01:00,880 --> 01:01:03,120
Speaker 1: happening here at home. Let's put it up there on

1064
01:01:03,160 --> 01:01:05,800
Speaker 1: the screen. The next element there, please, is the so

1065
01:01:05,880 --> 01:01:09,080
Speaker 1: called triple demic that's happening here right now in the

1066
01:01:09,160 --> 01:01:12,760
Speaker 1: United States, the spread of both COVID, of the respiratory

1067
01:01:12,880 --> 01:01:18,640
Speaker 1: synolel virus or otherwise known as RSV, and of the flu.

1068
01:01:19,080 --> 01:01:21,200
Speaker 1: And I think, Crystal, what I really wanted to get

1069
01:01:21,240 --> 01:01:25,760
Speaker 1: to was about how much this involves lockdowns and the

1070
01:01:25,800 --> 01:01:30,520
Speaker 1: failure of these policies, because the reason why China is

1071
01:01:30,560 --> 01:01:34,400
Speaker 1: having this massive COVID outbreak right now is because they

1072
01:01:34,480 --> 01:01:38,160
Speaker 1: did not allow some sort of reasonable level of community

1073
01:01:38,240 --> 01:01:41,880
Speaker 1: spread up until this point and are getting slammed all

1074
01:01:42,000 --> 01:01:45,520
Speaker 1: at the same time by banking on a completely foolish

1075
01:01:45,560 --> 01:01:49,560
Speaker 1: and ridiculous policy. It's actually linked also to the same

1076
01:01:49,680 --> 01:01:52,840
Speaker 1: so called triple demic that's happening right now here in

1077
01:01:52,840 --> 01:01:56,840
Speaker 1: the United States. And I'll explain this mass infection of

1078
01:01:56,920 --> 01:02:01,640
Speaker 1: COVID was basically always inevitable, especially with the rise of omicron.

1079
01:02:02,000 --> 01:02:05,480
Speaker 1: By locking people and especially kids up now for two years,

1080
01:02:05,800 --> 01:02:09,720
Speaker 1: we are now suffering the consequences of weakened immune systems

1081
01:02:09,720 --> 01:02:11,880
Speaker 1: that are all being exposed at once. And I want

1082
01:02:11,880 --> 01:02:13,760
Speaker 1: to be clear, I'm not saying that the immune systems

1083
01:02:13,760 --> 01:02:16,600
Speaker 1: itself became weaker. But it's called an immunity gap. It's

1084
01:02:16,640 --> 01:02:20,720
Speaker 1: a lack of exposure to many pathogens, germs, and infections

1085
01:02:20,720 --> 01:02:24,760
Speaker 1: that otherwise people would have gotten. RSV, for example. RSV

1086
01:02:24,880 --> 01:02:26,880
Speaker 1: is not a special virus. We've literally been dealing with

1087
01:02:26,960 --> 01:02:30,320
Speaker 1: this for years, however, and actually every child in the

1088
01:02:30,400 --> 01:02:32,920
Speaker 1: United States, and this is according to the CDC, is

1089
01:02:33,080 --> 01:02:36,080
Speaker 1: usually exposed to RSV by age of two and then

1090
01:02:36,120 --> 01:02:40,200
Speaker 1: continually on from that point. Why having school closures and

1091
01:02:40,240 --> 01:02:43,440
Speaker 1: having a shutdown we had a natural exposure cycle that

1092
01:02:43,480 --> 01:02:45,640
Speaker 1: would have happened both for infants and toddlers that are

1093
01:02:45,640 --> 01:02:48,360
Speaker 1: getting infected with this now, but also all children that

1094
01:02:48,400 --> 01:02:50,960
Speaker 1: are in some cases bringing it back home. It's now

1095
01:02:51,000 --> 01:02:54,840
Speaker 1: happening though, all at once. This is again a direct

1096
01:02:54,880 --> 01:02:58,200
Speaker 1: consequence of school closure and of the lack of socialization

1097
01:02:58,520 --> 01:03:01,520
Speaker 1: of children. And I think this really is the first

1098
01:03:01,600 --> 01:03:05,320
Speaker 1: sign of a major public health catastrophe as a result

1099
01:03:05,320 --> 01:03:09,080
Speaker 1: of lockdown. I want to read directly from a new

1100
01:03:09,120 --> 01:03:12,880
Speaker 1: piece in The Atlantic quoting mainstream scientists who are talking

1101
01:03:12,880 --> 01:03:17,440
Speaker 1: about how Infants born during lockdowns have microbiota and immune

1102
01:03:17,520 --> 01:03:21,720
Speaker 1: systems irrevocably abnormal, which could result in a huge surge

1103
01:03:21,760 --> 01:03:25,680
Speaker 1: of autoimmune and health conditions. Quote. Perhaps most at risk

1104
01:03:25,720 --> 01:03:28,760
Speaker 1: are kids whose families went into hyper hygiene mode in

1105
01:03:28,760 --> 01:03:31,720
Speaker 1: the first couple months of their lives. Microbes are crucial

1106
01:03:31,760 --> 01:03:36,520
Speaker 1: for properly calibrating immune systems. Antipath alarms miss out on

1107
01:03:36,560 --> 01:03:40,280
Speaker 1: those opportunities our bodies defensive cells might end up mistaking

1108
01:03:40,400 --> 01:03:44,439
Speaker 1: enemies for allies or vice versa, sparking severe infections or

1109
01:03:44,560 --> 01:03:48,880
Speaker 1: autoimmune disease for the health professionals who are listening. Some

1110
01:03:48,920 --> 01:03:52,520
Speaker 1: of this is derivative of the so called hygiene hypothesis,

1111
01:03:52,520 --> 01:03:55,240
Speaker 1: but something I want to underscore is that this is

1112
01:03:55,400 --> 01:03:59,400
Speaker 1: not conjecture. The CDC right now, in response to what's

1113
01:03:59,440 --> 01:04:02,880
Speaker 1: happening with RSV and the hospitalization of children, says quote.

1114
01:04:02,920 --> 01:04:05,880
Speaker 1: Because of low RSV cases in twenty twenty and in

1115
01:04:05,920 --> 01:04:08,840
Speaker 1: twenty twenty one, young children may be at risk for

1116
01:04:08,920 --> 01:04:12,800
Speaker 1: a more serious infection since their immune systems weren't exposed

1117
01:04:12,840 --> 01:04:15,800
Speaker 1: to the virus as much over the last few years.

1118
01:04:16,160 --> 01:04:20,040
Speaker 1: Direct admission by the CDC that school closure and lockdowns

1119
01:04:20,040 --> 01:04:23,520
Speaker 1: had very much to do with the actual overall immune

1120
01:04:23,560 --> 01:04:27,520
Speaker 1: development of children very much also applicable to what's happening

1121
01:04:27,760 --> 01:04:30,560
Speaker 1: in China with their COVID outbreak right now. It is

1122
01:04:30,600 --> 01:04:33,520
Speaker 1: a direct fault of the government for both selling zero

1123
01:04:33,600 --> 01:04:36,160
Speaker 1: COVID to the population, especially in the case of the

1124
01:04:36,200 --> 01:04:38,520
Speaker 1: elderly who didn't want to get vaccinated and are now

1125
01:04:38,560 --> 01:04:42,080
Speaker 1: going to suffer the consequences, but also they have nobody

1126
01:04:42,120 --> 01:04:45,080
Speaker 1: but themselves to blame for keeping people locked up for

1127
01:04:45,120 --> 01:04:48,800
Speaker 1: so long and then sparking a major basically run on

1128
01:04:48,840 --> 01:04:51,440
Speaker 1: the hospitals as of right now. So that's really what

1129
01:04:51,440 --> 01:04:53,840
Speaker 1: I wanted to focus on, Crystal. You know, everyone a

1130
01:04:53,880 --> 01:04:57,760
Speaker 1: lot of zero COVID advocates on Twitter and elsewhere are like,

1131
01:04:57,880 --> 01:04:59,960
Speaker 1: see this is what happened. And if you want to

1132
01:05:00,120 --> 01:05:03,680
Speaker 1: here my reaction to Sager's monologue, become a premium subscriber

1133
01:05:03,680 --> 01:05:10,080
Speaker 1: today at Breakingpoints dot com. I really want to thank

1134
01:05:10,120 --> 01:05:13,240
Speaker 1: everybody for sticking with us. We have some technical difficulties

1135
01:05:13,240 --> 01:05:14,480
Speaker 1: on our end, so we're going to try and get

1136
01:05:14,480 --> 01:05:16,760
Speaker 1: the show out as soon as possible. Don't forget about

1137
01:05:16,760 --> 01:05:18,560
Speaker 1: the live show. We've got the tickets that are on

1138
01:05:18,640 --> 01:05:21,280
Speaker 1: sale right now for Austin. They're selling really well and

1139
01:05:21,320 --> 01:05:23,360
Speaker 1: we really hope to see all of you there. Otherwise,

1140
01:05:23,400 --> 01:05:25,040
Speaker 1: we're going to be back in the study on Thursday,

1141
01:05:25,320 --> 01:05:28,600
Speaker 1: we promise, and we love you. Happy holidays, Love you guys,

1142
01:05:28,600 --> 01:05:29,080
Speaker 1: See you soon.