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

2
00:00:02,320 --> 00:00:04,240
Speaker 1: and Sager. We're going to be totally upfront with you.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

17
00:00:46,120 --> 00:01:06,200
Speaker 1: the show notes. Enjoy the show, guys, Good morning, everybody,

18
00:01:06,240 --> 00:01:09,320
Speaker 1: Happy Thursday. We have an amazing show for everybody today.

19
00:01:09,319 --> 00:01:12,080
Speaker 1: When do we have Bristol? Indeed, we do so many

20
00:01:12,080 --> 00:01:14,920
Speaker 1: interesting stories to get to you this morning. Some new

21
00:01:14,959 --> 00:01:18,360
Speaker 1: polls out regarding Biden's approval, Also how people are feeling

22
00:01:18,400 --> 00:01:21,720
Speaker 1: about those new vaccine mandates and requirements that he's put

23
00:01:21,760 --> 00:01:26,319
Speaker 1: into place. Some stunning and horrific testimony from some of

24
00:01:26,360 --> 00:01:30,040
Speaker 1: the women who were abused by Larry Nassar, specifically with

25
00:01:30,080 --> 00:01:34,560
Speaker 1: regards I mean, they were scathing about the FBI lying

26
00:01:34,959 --> 00:01:38,200
Speaker 1: bearing this, allowing girls to continue to be victimized by

27
00:01:38,240 --> 00:01:40,640
Speaker 1: this man. Will bring you all the latest. There also

28
00:01:40,640 --> 00:01:47,000
Speaker 1: an interesting case three former CIA intelligence officers who apparently

29
00:01:47,120 --> 00:01:49,200
Speaker 1: were doing a lot of work for UAE that was

30
00:01:49,240 --> 00:01:52,720
Speaker 1: not necessarily legal and looks like they were using their

31
00:01:52,920 --> 00:01:56,120
Speaker 1: tradecraft to spy on Americans on behalf of the UAE.

32
00:01:56,200 --> 00:01:59,600
Speaker 1: So we'll give you all the details there. Also, Yes,

33
00:02:00,120 --> 00:02:04,560
Speaker 1: bring you up to speed on Nicki Minaj's cousins, friend's balls,

34
00:02:04,560 --> 00:02:09,240
Speaker 1: correct everything. There's like five thousand new updates there, so

35
00:02:09,960 --> 00:02:14,000
Speaker 1: give you yeah, all kinds of layers, heroes, villains, It's

36
00:02:14,040 --> 00:02:16,320
Speaker 1: all very complicated and very interesting. Will bring you that.

37
00:02:16,360 --> 00:02:18,840
Speaker 1: We've also got David dan On to break down exactly

38
00:02:18,840 --> 00:02:22,400
Speaker 1: what's going on with that Medicare prescription drug pricing. You know,

39
00:02:22,440 --> 00:02:26,200
Speaker 1: Democrats have long promise this was a core campaign promise

40
00:02:26,560 --> 00:02:29,200
Speaker 1: that they were going to start negotiating with drug companies

41
00:02:29,200 --> 00:02:33,280
Speaker 1: to lower prescription drug prices. It's supported by like literally

42
00:02:33,360 --> 00:02:36,280
Speaker 1: ninety percent of Americans, and yet now you have a

43
00:02:36,320 --> 00:02:39,760
Speaker 1: couple of frankly corporate assholes who are standing in the

44
00:02:39,760 --> 00:02:42,400
Speaker 1: way and trying to block that proposal. So we're going

45
00:02:42,440 --> 00:02:44,359
Speaker 1: to talk to David dan about what exactly is going

46
00:02:44,400 --> 00:02:46,880
Speaker 1: on there. But we wanted to start this morning with

47
00:02:47,000 --> 00:02:51,840
Speaker 1: the big results out of California and utter shlacking for

48
00:02:52,000 --> 00:02:55,000
Speaker 1: the Republicans who were hoping to recall Governor Gavin Newsom.

49
00:02:55,080 --> 00:02:56,639
Speaker 1: No other way to describe it. Let's go ahead and

50
00:02:56,639 --> 00:02:58,400
Speaker 1: put the New York Times tear sheet up there on

51
00:02:58,440 --> 00:03:01,119
Speaker 1: the screen shows the vote totals. They with sixty three

52
00:03:01,160 --> 00:03:04,600
Speaker 1: point nine percent coming in at no, Yes coming in

53
00:03:04,720 --> 00:03:08,040
Speaker 1: at thirty six percent. As Crystal pointed out before the show,

54
00:03:08,200 --> 00:03:10,920
Speaker 1: they oddly put no in red, so it seems like

55
00:03:11,000 --> 00:03:14,560
Speaker 1: it's Republican and then blew for Yes. But the geography

56
00:03:14,600 --> 00:03:17,720
Speaker 1: there does seem actually kind of interesting. Really, what it

57
00:03:17,800 --> 00:03:20,560
Speaker 1: is is the megapopulated areas not only came in to

58
00:03:20,639 --> 00:03:23,880
Speaker 1: keep Gavin Newsom, but came in heavily The rural area's

59
00:03:23,919 --> 00:03:26,560
Speaker 1: part of the state, especially up there at northern California,

60
00:03:26,680 --> 00:03:30,040
Speaker 1: more desert. Ye part, they all came in for the recall.

61
00:03:30,160 --> 00:03:33,840
Speaker 1: So if we dig down into the actual vote also,

62
00:03:33,880 --> 00:03:36,640
Speaker 1: I should say that the sixty four percent or around

63
00:03:36,640 --> 00:03:39,680
Speaker 1: that of what Gavin Newsom ultimately was able to prevail

64
00:03:39,760 --> 00:03:43,200
Speaker 1: within the recall is roughly equivalent by around two points

65
00:03:43,440 --> 00:03:47,360
Speaker 1: to how he won election back in twenty eighteen in

66
00:03:47,440 --> 00:03:51,000
Speaker 1: the first place. So a stunning show out for the governor.

67
00:03:51,040 --> 00:03:54,240
Speaker 1: But would be remiss if we didn't say that the

68
00:03:54,320 --> 00:03:59,120
Speaker 1: composition of the people who voted within the recall shows

69
00:03:59,160 --> 00:04:02,280
Speaker 1: again the eleans of the trends that we saw in

70
00:04:02,400 --> 00:04:04,920
Speaker 1: the twenty twenty election. So Nate Cohen over the New

71
00:04:05,000 --> 00:04:07,280
Speaker 1: York Times, they dug a little bit into the exit polling.

72
00:04:07,320 --> 00:04:09,880
Speaker 1: Here you can see that, which is that Newsom fared

73
00:04:09,960 --> 00:04:14,040
Speaker 1: better amongst white college graduates than non white voters in

74
00:04:14,080 --> 00:04:17,080
Speaker 1: the state, and he isn't even faring betters among Latino

75
00:04:17,440 --> 00:04:20,720
Speaker 1: than non Latino voters. So just to break it down

76
00:04:20,800 --> 00:04:23,880
Speaker 1: for you there the education by race. White voters with

77
00:04:23,960 --> 00:04:28,880
Speaker 1: a college degree came out at seventy percent within the recall.

78
00:04:29,240 --> 00:04:33,279
Speaker 1: White voters with no degree came out fifty seven percent.

79
00:04:33,839 --> 00:04:37,279
Speaker 1: For the recall. Same thing whenever it's voters of color

80
00:04:37,320 --> 00:04:40,960
Speaker 1: with a college degree, sixty three percent. Voters of color

81
00:04:41,120 --> 00:04:43,560
Speaker 1: no degree, then it drops to fifty nine. So it's

82
00:04:43,560 --> 00:04:46,120
Speaker 1: a little bit different. And on race in particular, you

83
00:04:46,120 --> 00:04:49,600
Speaker 1: can see there white, Black, Latino, and Asian Newsome one

84
00:04:49,960 --> 00:04:52,760
Speaker 1: across the board. But actually the lowest percentage that he

85
00:04:52,839 --> 00:04:56,039
Speaker 1: got was actually amongst white voters. So it's a very

86
00:04:56,120 --> 00:04:59,240
Speaker 1: very polarized country. It seems California, which is very much

87
00:04:59,279 --> 00:05:01,680
Speaker 1: like the rest of the country, is just as polarized

88
00:05:01,680 --> 00:05:04,720
Speaker 1: as we are. And Crystal, I mean, Steve Kornaki also

89
00:05:04,760 --> 00:05:06,760
Speaker 1: pointed out, let's put it up there in terms of

90
00:05:06,880 --> 00:05:10,560
Speaker 1: education polarization. This is the most important one in my opinion,

91
00:05:10,760 --> 00:05:14,560
Speaker 1: because you can see twenty eighteen compared to twenty twenty one,

92
00:05:15,360 --> 00:05:18,080
Speaker 1: white college educated voters came out at fifty nine percent

93
00:05:18,120 --> 00:05:21,440
Speaker 1: for Newsom in twenty eighteen. In twenty twenty one, sixty

94
00:05:21,600 --> 00:05:25,000
Speaker 1: eight percent white non college He actually won that back

95
00:05:25,000 --> 00:05:29,360
Speaker 1: in twenty eighteen. Today in twenty twenty one, fifty seven percent,

96
00:05:29,480 --> 00:05:32,000
Speaker 1: like I said, voted for the recall. So the drop

97
00:05:32,279 --> 00:05:36,000
Speaker 1: is actually precipitous amongst white non college educated voters, and

98
00:05:36,080 --> 00:05:38,960
Speaker 1: the Hispanic vote share dropped from sixty four percent to

99
00:05:39,040 --> 00:05:41,400
Speaker 1: fifty eight percent. That's what the governor is dealing with.

100
00:05:41,440 --> 00:05:44,920
Speaker 1: It's the exact same story across the country. The semi

101
00:05:44,960 --> 00:05:48,880
Speaker 1: minor drop amongst Latino's basically mirrors the seven to eight

102
00:05:48,880 --> 00:05:51,440
Speaker 1: percent bump the GOP got and then the ten point

103
00:05:51,480 --> 00:05:54,120
Speaker 1: jump amongst white college voters. That's the story of the

104
00:05:54,120 --> 00:05:56,880
Speaker 1: twenty twenty election and why Biden as president today. Yeah,

105
00:05:56,920 --> 00:06:00,160
Speaker 1: I mean, it shows you, number one, why Biden as

106
00:06:00,160 --> 00:06:04,960
Speaker 1: president today. It also shows you that the influx of

107
00:06:05,000 --> 00:06:07,400
Speaker 1: some Latino voters to the Republican Party to vote for

108
00:06:07,440 --> 00:06:10,680
Speaker 1: Donald Trump is not necessarily a one off occurrence. So

109
00:06:10,839 --> 00:06:13,400
Speaker 1: there always a question, because he's such a singular figure,

110
00:06:13,720 --> 00:06:16,320
Speaker 1: whether this is just you know, this particular election, because

111
00:06:16,320 --> 00:06:20,920
Speaker 1: he's on the ballot. You've consistently seen now that splitting

112
00:06:21,520 --> 00:06:24,560
Speaker 1: of Latino voter looks still Gavin Newsome winds still won,

113
00:06:24,600 --> 00:06:26,520
Speaker 1: the majority, still wins the group. And there's also it's

114
00:06:26,560 --> 00:06:29,760
Speaker 1: notable that there's less of an education divide among Latina

115
00:06:29,839 --> 00:06:33,360
Speaker 1: voters Latino voters than there are among white voters. But

116
00:06:33,440 --> 00:06:35,560
Speaker 1: still you see that sort of steady bleeding that I

117
00:06:35,560 --> 00:06:38,240
Speaker 1: think Democrats should be very concerned about They had long thought,

118
00:06:38,279 --> 00:06:41,440
Speaker 1: you know, demographics our destiny, this is our new coalition.

119
00:06:41,920 --> 00:06:43,800
Speaker 1: These are the people they just sort of assumed. And

120
00:06:43,839 --> 00:06:46,359
Speaker 1: that's part of the problem is that there weren't ongoing

121
00:06:46,400 --> 00:06:49,800
Speaker 1: efforts to actually understand this community, reach out to this community,

122
00:06:49,839 --> 00:06:52,200
Speaker 1: form ties, communicate with this community in a way that's

123
00:06:52,240 --> 00:06:56,120
Speaker 1: authentic and makes sense. So those problems continuing to emerge

124
00:06:56,160 --> 00:06:58,560
Speaker 1: for Democrats. But I mean, obviously the big story here

125
00:06:58,680 --> 00:07:02,960
Speaker 1: is that Gavin news it wasn't even close. In a

126
00:07:03,120 --> 00:07:07,920
Speaker 1: very unusual situation, he actually outperformed the polls, which normally

127
00:07:07,960 --> 00:07:11,320
Speaker 1: Democrats recently have been underperforming. Whatever the polls say. He

128
00:07:11,400 --> 00:07:13,960
Speaker 1: did even better than what the polls said going in.

129
00:07:14,240 --> 00:07:18,920
Speaker 1: There was obviously a late surge. His messaging of listen,

130
00:07:18,960 --> 00:07:21,720
Speaker 1: if you're worried about the pandemic and staying safe and

131
00:07:21,760 --> 00:07:24,840
Speaker 1: you want to keep this trumpist maniac out of office,

132
00:07:24,840 --> 00:07:27,120
Speaker 1: then you got to show up and vote worked very

133
00:07:27,240 --> 00:07:29,560
Speaker 1: very well, especially as you point out, with white college

134
00:07:29,640 --> 00:07:33,200
Speaker 1: educative voters who are now the sort of primary base

135
00:07:33,240 --> 00:07:36,480
Speaker 1: of the Democratic Party that they really cater to and

136
00:07:36,560 --> 00:07:38,720
Speaker 1: really focus on. They have a lot of power within

137
00:07:38,800 --> 00:07:42,120
Speaker 1: the party regardless of what their numbers are and their

138
00:07:42,160 --> 00:07:46,040
Speaker 1: numbers within the party continue to ultimately increase. There were

139
00:07:46,080 --> 00:07:50,240
Speaker 1: also some interesting commentary from some California Republican consultants who

140
00:07:50,280 --> 00:07:55,040
Speaker 1: were very upset at both Trump and Larry Elder, basically

141
00:07:55,280 --> 00:07:58,760
Speaker 1: at the end saying, Oh, this thing is rigged and

142
00:07:58,960 --> 00:08:03,080
Speaker 1: suppressing voter turnout, which I think also helps to account

143
00:08:03,120 --> 00:08:06,560
Speaker 1: for why you had this late surge for news because

144
00:08:06,600 --> 00:08:09,240
Speaker 1: they also had not been pushing people to vote by

145
00:08:09,280 --> 00:08:11,400
Speaker 1: mail in the same way that Democratic voters have been

146
00:08:11,440 --> 00:08:13,920
Speaker 1: being pushed to vote by mail, So they were really

147
00:08:13,960 --> 00:08:16,640
Speaker 1: counting on a big day of turnout. It didn't happen,

148
00:08:16,760 --> 00:08:19,720
Speaker 1: and it didn't happen. Why, In part, it's got to

149
00:08:19,760 --> 00:08:21,960
Speaker 1: be because you got the president, leader of the party

150
00:08:22,000 --> 00:08:23,640
Speaker 1: and the guy that you're supposed to be electing saying

151
00:08:23,640 --> 00:08:25,840
Speaker 1: the whole thing's rigged anyway, so why bother. It's so

152
00:08:26,560 --> 00:08:30,760
Speaker 1: stupid and foolish, and it mirrors exactly what happened in Georgia.

153
00:08:30,880 --> 00:08:34,839
Speaker 1: And look, this is the problem. Trump is both simultaneously

154
00:08:35,040 --> 00:08:38,520
Speaker 1: the driver of turnout on the Democratic side. Why do

155
00:08:38,559 --> 00:08:41,080
Speaker 1: you think these white college educated voters came out so

156
00:08:41,200 --> 00:08:44,839
Speaker 1: hard for Gavin Newsom Because every single ad, every single

157
00:08:44,880 --> 00:08:48,199
Speaker 1: thing they talked about Trump, Trump, Trump, Trump, Trump, all

158
00:08:48,240 --> 00:08:51,040
Speaker 1: those photos. As you pointed out, that's the worst photo

159
00:08:51,120 --> 00:08:53,440
Speaker 1: Larry Elder ever turned in his life is a photo

160
00:08:53,440 --> 00:08:55,520
Speaker 1: of him with like a thumbs up next to Trump

161
00:08:55,720 --> 00:08:59,160
Speaker 1: every ad. That's the problem, Larry, is that simultaneously the

162
00:08:59,200 --> 00:09:03,280
Speaker 1: Republican base may love Trump, but if you a juxtapose

163
00:09:03,320 --> 00:09:06,600
Speaker 1: it onto the entire general electorate, especially in a state

164
00:09:06,640 --> 00:09:10,160
Speaker 1: which is mega democratic, and then you depress turnout on

165
00:09:10,200 --> 00:09:13,560
Speaker 1: your own side, you have a complete and total disaster.

166
00:09:13,640 --> 00:09:16,760
Speaker 1: And that's exactly what happened. I predict this is what's

167
00:09:16,800 --> 00:09:19,200
Speaker 1: going to happen in Virginia to Crystal because you know,

168
00:09:19,240 --> 00:09:21,840
Speaker 1: we've talked about Youngkin and all of that, but it

169
00:09:22,000 --> 00:09:25,119
Speaker 1: just seems that Trump in particular is such an inspiring

170
00:09:25,160 --> 00:09:27,560
Speaker 1: figure for Democrats to come out and vote. And you

171
00:09:27,600 --> 00:09:29,720
Speaker 1: pointed a lot of this during the twenty twenty election,

172
00:09:30,000 --> 00:09:31,719
Speaker 1: which is this is all Dems have to do. They

173
00:09:31,760 --> 00:09:33,880
Speaker 1: just have to be like, look, you want Trump to win,

174
00:09:33,920 --> 00:09:36,840
Speaker 1: and people like, oh God, no Trump, and that's enough.

175
00:09:36,880 --> 00:09:38,880
Speaker 1: They will come out and they will vote, you know,

176
00:09:38,960 --> 00:09:41,560
Speaker 1: for they'll crawl over glass in order to make sure

177
00:09:41,600 --> 00:09:44,080
Speaker 1: they can put that mail in ballot and At the

178
00:09:44,080 --> 00:09:46,600
Speaker 1: same time, Trump is out there saying, well, the election

179
00:09:46,720 --> 00:09:49,160
Speaker 1: was rigged. It's totally stolen, so why bother come out

180
00:09:49,160 --> 00:09:52,439
Speaker 1: and vote. It's like you're basically giving an inkind donation

181
00:09:52,800 --> 00:09:55,080
Speaker 1: to the other sides voters. It's one of the dumbest

182
00:09:55,080 --> 00:09:56,800
Speaker 1: things you can do electorally. Yeah, I mean, this is

183
00:09:56,840 --> 00:10:00,920
Speaker 1: pretty embarrassing ultimately for Republicans who who really they genuinely

184
00:10:00,960 --> 00:10:04,280
Speaker 1: had a chance at this thing. In the beginning of August,

185
00:10:04,000 --> 00:10:07,160
Speaker 1: the polls were tied. Obviously, there's you know, precedent not

186
00:10:07,320 --> 00:10:10,240
Speaker 1: that long ago. A couple things are definitely different. Number one,

187
00:10:10,280 --> 00:10:13,200
Speaker 1: Gray Davis was less popular than Gavin Newsom, who never

188
00:10:13,240 --> 00:10:16,040
Speaker 1: actually really dipped below fifty percent in terms of his

189
00:10:16,080 --> 00:10:19,439
Speaker 1: approval rating. You didn't have a candidate like Arnold Schwarzenegger

190
00:10:19,440 --> 00:10:22,560
Speaker 1: who's both well known and well liked and also a

191
00:10:22,600 --> 00:10:25,520
Speaker 1: moderate who can appeal to a broader base in California. Instead,

192
00:10:25,520 --> 00:10:27,840
Speaker 1: they lean into this guy who's you know, fairly fringed

193
00:10:27,920 --> 00:10:31,160
Speaker 1: character and wildly out of step with what the general

194
00:10:31,200 --> 00:10:35,840
Speaker 1: population of California actually wants. Republicans really leaned into the

195
00:10:35,920 --> 00:10:40,600
Speaker 1: sort of pandemic culture war messaging, and I think thought

196
00:10:41,240 --> 00:10:45,240
Speaker 1: that their anti lockdown positioning was a lot more popular

197
00:10:45,320 --> 00:10:47,560
Speaker 1: in California than it actually is. If you look at

198
00:10:47,559 --> 00:10:49,520
Speaker 1: the exit polls, and this is my own tweet, we

199
00:10:49,559 --> 00:10:51,960
Speaker 1: can throw up here on the screen. Two thirds of

200
00:10:52,000 --> 00:10:55,199
Speaker 1: California voters said the state's pandemic restrictions were either just

201
00:10:55,360 --> 00:10:59,800
Speaker 1: right or not strict enough. So Republicans thought they had

202
00:10:59,800 --> 00:11:04,080
Speaker 1: a winning issue with anti lockdown. Meanwhile, down the stretch,

203
00:11:04,120 --> 00:11:07,560
Speaker 1: Gavin Newsom is leaning into Hey, I'm the one who

204
00:11:07,640 --> 00:11:10,959
Speaker 1: put vaccine mandates in place for teachers and for healthcare workers,

205
00:11:11,200 --> 00:11:12,760
Speaker 1: and by the way, and I actually thought this was

206
00:11:12,800 --> 00:11:16,800
Speaker 1: smart messaging. His message on that wasn't like we're pro lockdown.

207
00:11:16,920 --> 00:11:19,400
Speaker 1: It was if you don't have these precautions in place,

208
00:11:19,400 --> 00:11:22,200
Speaker 1: we're gonna have to close schools again. So Larry Elder

209
00:11:22,280 --> 00:11:23,959
Speaker 1: is the guy that's going to lead to your kids

210
00:11:24,000 --> 00:11:27,359
Speaker 1: not being able to go to school again. And in California,

211
00:11:27,400 --> 00:11:29,679
Speaker 1: and actually we're going to cover some polling later. In

212
00:11:29,720 --> 00:11:32,560
Speaker 1: a lot of the country now, with delta variant surging

213
00:11:32,559 --> 00:11:36,760
Speaker 1: and people feeling a lot more uncertain, some basic pandemic

214
00:11:36,920 --> 00:11:41,640
Speaker 1: precautions are really popular. So I think Republicans overlearned some

215
00:11:41,720 --> 00:11:44,240
Speaker 1: of the lessons of twenty twenty, where they saw the

216
00:11:44,320 --> 00:11:47,040
Speaker 1: surge of Latino voters, they saw that the polling didn't

217
00:11:47,040 --> 00:11:49,600
Speaker 1: really reflect how people were feeling about lockdowns and the

218
00:11:49,640 --> 00:11:52,480
Speaker 1: economy and all of that, and leaned hard in that

219
00:11:52,559 --> 00:11:56,000
Speaker 1: direction when certainly in a place like California, but also

220
00:11:56,080 --> 00:11:58,240
Speaker 1: I would say in a lot of the country it

221
00:11:58,280 --> 00:12:00,640
Speaker 1: doesn't land the way that they think it is. And

222
00:12:01,040 --> 00:12:03,760
Speaker 1: the polling has moved in this regard as delta has

223
00:12:03,800 --> 00:12:07,800
Speaker 1: gotten worse, people have adjusted. And now whereas earlier in

224
00:12:07,800 --> 00:12:09,760
Speaker 1: the summer they were feeling like, Okay, let's get back

225
00:12:09,800 --> 00:12:11,800
Speaker 1: to normal, let's take the mass off, let's go back

226
00:12:11,800 --> 00:12:14,360
Speaker 1: to school with like all the normal sort of modes

227
00:12:14,400 --> 00:12:17,360
Speaker 1: of doing that, now there's a lot more hesitancy, a

228
00:12:17,360 --> 00:12:20,120
Speaker 1: lot more caution, a lot more fear about the virus itself. No,

229
00:12:20,240 --> 00:12:22,720
Speaker 1: it's and this is important for a corollary for everybody

230
00:12:22,760 --> 00:12:24,600
Speaker 1: to understand, which is we had to adjust the way

231
00:12:24,640 --> 00:12:26,680
Speaker 1: we thought about lockdowns after the election. But this is

232
00:12:26,679 --> 00:12:28,640
Speaker 1: the first election where we've had and arguably the most

233
00:12:28,640 --> 00:12:31,199
Speaker 1: pro lockdown state. And look, I mean, the vote doesn't

234
00:12:31,200 --> 00:12:33,000
Speaker 1: lie right, Like, That's what you always have to look

235
00:12:33,080 --> 00:12:35,760
Speaker 1: is what did the actual number come out to be

236
00:12:35,920 --> 00:12:39,160
Speaker 1: and so, yeah, it's true. I certainly overestimated what I

237
00:12:39,200 --> 00:12:43,040
Speaker 1: thought would be a largely popular you know, not uprising necessarily,

238
00:12:43,080 --> 00:12:45,160
Speaker 1: but you know, forty percent of the state or so

239
00:12:45,280 --> 00:12:47,360
Speaker 1: that I thought might be able to be mobilized. At

240
00:12:47,400 --> 00:12:50,960
Speaker 1: the same time, Democrats feel apathetic. Nobody really likes Gavin Newsom,

241
00:12:51,000 --> 00:12:53,640
Speaker 1: the homeless problem, crime, et cetera. Yeah, look, the guy

242
00:12:54,000 --> 00:12:56,600
Speaker 1: basically not just one. I mean, he won around the

243
00:12:56,600 --> 00:12:59,840
Speaker 1: exact same level that came out in twenty eighteen, when

244
00:12:59,840 --> 00:13:02,320
Speaker 1: this state was arguably a lot better off. So what

245
00:13:02,320 --> 00:13:04,199
Speaker 1: does that mean. It means that some of this stuff

246
00:13:04,280 --> 00:13:08,079
Speaker 1: is popular in California. Now trying to extrapolate that across

247
00:13:08,120 --> 00:13:09,840
Speaker 1: the country. We're about to get to that into the

248
00:13:09,840 --> 00:13:13,040
Speaker 1: polling block. But I really I'm scrambled because at the

249
00:13:13,040 --> 00:13:15,960
Speaker 1: same time, definitely got burned on all the lockdown polling

250
00:13:16,160 --> 00:13:19,080
Speaker 1: that came out before the twenty twenty election. At the

251
00:13:19,080 --> 00:13:22,840
Speaker 1: same time, we see you know, Biden. Also it throws

252
00:13:22,840 --> 00:13:25,240
Speaker 1: a wrench in this but the vaccine has also changed

253
00:13:25,280 --> 00:13:27,160
Speaker 1: things in the way that people think about it. We

254
00:13:27,200 --> 00:13:29,960
Speaker 1: should also, and I'd be remiss if we didn't just

255
00:13:30,000 --> 00:13:32,840
Speaker 1: hammer this home. This is what dem messaging is going

256
00:13:32,920 --> 00:13:35,440
Speaker 1: to be I think this might actually be the best

257
00:13:35,559 --> 00:13:37,840
Speaker 1: chance they have in the midterms, not in terms to win,

258
00:13:38,160 --> 00:13:40,600
Speaker 1: but in terms of trying stave off is. All they

259
00:13:40,600 --> 00:13:43,200
Speaker 1: have to do is say Trump's name all day long.

260
00:13:43,400 --> 00:13:45,520
Speaker 1: Check out what Gavin Newsom said when he declared victory.

261
00:13:46,160 --> 00:13:48,960
Speaker 1: I said this many many times on the campaign trail.

262
00:13:49,840 --> 00:13:53,240
Speaker 1: You know, we may have defeated Trump, but trump Ism

263
00:13:53,320 --> 00:13:59,079
Speaker 1: is not dead in this country. The big lie, January

264
00:13:59,080 --> 00:14:01,800
Speaker 1: sixth insurrection, and all the voting suppression efforts that are

265
00:14:01,800 --> 00:14:06,160
Speaker 1: happening all across this country. What's happening the assault of

266
00:14:06,440 --> 00:14:11,280
Speaker 1: fundamental rights, constitutionally protected rights of women and girls. There's

267
00:14:11,320 --> 00:14:17,600
Speaker 1: a remarkable moment in our nation's history. Yeah, you know,

268
00:14:17,800 --> 00:14:21,200
Speaker 1: I just find it robot so irritating. All of these

269
00:14:21,240 --> 00:14:24,400
Speaker 1: politicians who came up in the Obama era and mimic

270
00:14:24,480 --> 00:14:28,080
Speaker 1: his his speech patterns and his mannerisms and his all

271
00:14:28,840 --> 00:14:31,440
Speaker 1: He's like an obvious example of that. Corey Booker, Pete

272
00:14:31,440 --> 00:14:34,400
Speaker 1: Bootage is probably the worst example of that anyway. Irritating.

273
00:14:34,600 --> 00:14:37,520
Speaker 1: But yeah, the question has always been, Okay, did the

274
00:14:37,560 --> 00:14:40,240
Speaker 1: Democratic base just go back to brush and it was

275
00:14:40,320 --> 00:14:43,320
Speaker 1: looking like that in California. Well they're here now in August,

276
00:14:43,400 --> 00:14:46,480
Speaker 1: it was really looking like these people who don't really

277
00:14:46,520 --> 00:14:49,120
Speaker 1: care if they're kind of apathetic, they're you know, kind

278
00:14:49,120 --> 00:14:52,280
Speaker 1: of like whatever. With regards to politics, they're not They're

279
00:14:52,280 --> 00:14:54,920
Speaker 1: a little tuned down. They're not watching cable news every

280
00:14:54,960 --> 00:14:57,080
Speaker 1: hour of the day anymore, which is probably a better

281
00:14:57,160 --> 00:15:01,400
Speaker 1: state overall. But when it came down to a choice

282
00:15:01,480 --> 00:15:04,120
Speaker 1: of all right, listen, you may not love me, but

283
00:15:04,240 --> 00:15:06,400
Speaker 1: look at this guy and check out this picture of

284
00:15:06,480 --> 00:15:09,120
Speaker 1: him with Trump, they showed up, and they showed up

285
00:15:09,120 --> 00:15:12,520
Speaker 1: in droves. And so look again, let me say I

286
00:15:12,560 --> 00:15:14,960
Speaker 1: think Democrats are pretty much screwed for them in terms

287
00:15:15,040 --> 00:15:18,320
Speaker 1: because historically it's hard. They didn't know what they need

288
00:15:18,360 --> 00:15:21,120
Speaker 1: to do with regards to redistricting reform, so they have,

289
00:15:21,320 --> 00:15:24,840
Speaker 1: you know, six to seven point disadvantage coming in Biden.

290
00:15:24,920 --> 00:15:27,360
Speaker 1: We're about to get to is approval rating not great,

291
00:15:27,440 --> 00:15:29,480
Speaker 1: There's a lot of uncertainty, all these problems. So I

292
00:15:29,520 --> 00:15:33,120
Speaker 1: think Democrats have a very, very very steep hill to climb.

293
00:15:33,680 --> 00:15:36,200
Speaker 1: But they should take some heart from this so that

294
00:15:36,240 --> 00:15:39,040
Speaker 1: when the chips were down, they were able to freak

295
00:15:39,120 --> 00:15:41,840
Speaker 1: out and terrify their base enough to get them to

296
00:15:41,880 --> 00:15:44,360
Speaker 1: show up. Well, that's going to be their strategy come

297
00:15:44,400 --> 00:15:46,480
Speaker 1: twenty twenty two. So let's go ahead and get to that. Actually,

298
00:15:46,520 --> 00:15:48,920
Speaker 1: because this is very important and trying to trying to

299
00:15:49,000 --> 00:15:52,400
Speaker 1: obviously nail the mood of the country is very, very difficult.

300
00:15:52,400 --> 00:15:55,000
Speaker 1: But I think one thing we can generally say is

301
00:15:55,280 --> 00:15:58,320
Speaker 1: Joe Biden's approval rating is down for what reason. It's

302
00:15:58,320 --> 00:16:01,880
Speaker 1: actually difficult to tell. Cross tabulations in this new Quinnipiac

303
00:16:01,920 --> 00:16:03,880
Speaker 1: poll give us a little bit of insight. Let's put

304
00:16:03,880 --> 00:16:07,320
Speaker 1: this up there on the screen. Overall, Biden stands at

305
00:16:07,320 --> 00:16:10,040
Speaker 1: forty two to fifty, which is a disaster. It's a

306
00:16:10,080 --> 00:16:12,400
Speaker 1: little bit higher than the thirty nine percent that we

307
00:16:12,440 --> 00:16:15,600
Speaker 1: saw about a week ago. You can see that the

308
00:16:15,720 --> 00:16:19,480
Speaker 1: dip is largely among the independent voters there thirty four

309
00:16:19,600 --> 00:16:22,760
Speaker 1: fifty two, thirty four percent approval, fifty two percent disapproval.

310
00:16:22,760 --> 00:16:25,360
Speaker 1: That's exactly where you don't want to be going into

311
00:16:25,680 --> 00:16:28,640
Speaker 1: the mid terms. And also, his white college numbers are

312
00:16:28,800 --> 00:16:31,600
Speaker 1: very soft at fifty six thirty nine. He needs to

313
00:16:31,640 --> 00:16:34,440
Speaker 1: be in the sixty five seventy percent range. There the

314
00:16:34,520 --> 00:16:38,480
Speaker 1: Latino voter as well at thirty eight percent approval forty

315
00:16:38,560 --> 00:16:41,480
Speaker 1: seven percent disapproval, So he's soft in the group that

316
00:16:41,520 --> 00:16:43,880
Speaker 1: he really needs to be big on, and he's also

317
00:16:44,080 --> 00:16:47,640
Speaker 1: incredibly soft there amongst Latino voters, which generally need to

318
00:16:47,640 --> 00:16:50,120
Speaker 1: win by about two thirds one third just to even

319
00:16:50,160 --> 00:16:53,200
Speaker 1: replicate twenty twenty, which wasn't a very good turnout. But

320
00:16:53,280 --> 00:16:55,000
Speaker 1: let's get to the issue by issue, because this is

321
00:16:55,040 --> 00:16:57,560
Speaker 1: where it matters even more. Put the next one up

322
00:16:57,600 --> 00:17:00,280
Speaker 1: there on the screen. Do you approve and disappro of

323
00:17:00,320 --> 00:17:05,080
Speaker 1: Biden's handling on the following issues? COVID forty eight forty nine,

324
00:17:05,280 --> 00:17:09,200
Speaker 1: economy forty two fifty two, foreign policy thirty four to

325
00:17:09,280 --> 00:17:12,960
Speaker 1: fifty nine, climate change forty two, forty five, and my

326
00:17:13,040 --> 00:17:16,560
Speaker 1: favorite being commander in chief forty fifty five. Can thank

327
00:17:16,600 --> 00:17:18,920
Speaker 1: the news media for that? Yeah, that one's the news media.

328
00:17:19,000 --> 00:17:21,919
Speaker 1: But I would say COVID that is the biggest problem

329
00:17:21,920 --> 00:17:24,480
Speaker 1: that he has because for a long time when he

330
00:17:24,600 --> 00:17:26,879
Speaker 1: entered office, he was in the sixty five seventy percent

331
00:17:26,920 --> 00:17:30,040
Speaker 1: approval rating on COVID, and then obviously the vaccines came out,

332
00:17:30,160 --> 00:17:32,440
Speaker 1: and then what happened. It was like, oh, you know, June,

333
00:17:32,840 --> 00:17:36,159
Speaker 1: it's over. Delta has just destroyed him. But really what

334
00:17:36,200 --> 00:17:39,320
Speaker 1: it does is that as the march of Delta continues

335
00:17:39,359 --> 00:17:42,400
Speaker 1: and on and on and on, as he dips underneath

336
00:17:42,400 --> 00:17:45,359
Speaker 1: on COVID at the same time having a ten point

337
00:17:45,400 --> 00:17:48,520
Speaker 1: deficit within the economy. That's his biggest problem. I mean,

338
00:17:48,560 --> 00:17:53,080
Speaker 1: Trump showed you can overcome a nearly sixty percent disapproval

339
00:17:53,160 --> 00:17:56,320
Speaker 1: rating on COVID if you had a high approval rating

340
00:17:56,560 --> 00:18:01,000
Speaker 1: on the economy. He was always above fifty percent below both,

341
00:18:01,280 --> 00:18:04,480
Speaker 1: I think is a recipe for disaster for Biden. Well,

342
00:18:04,480 --> 00:18:07,359
Speaker 1: and they foolishly just let a lot of supports expire,

343
00:18:07,920 --> 00:18:11,679
Speaker 1: pandemic supports expire at the same time that delta is resurgent,

344
00:18:11,840 --> 00:18:16,400
Speaker 1: and there are some economic signs that are extraordinarily mixed

345
00:18:16,880 --> 00:18:21,399
Speaker 1: at best, couple of jobs numbers that were wildly missed,

346
00:18:22,520 --> 00:18:26,080
Speaker 1: and just generally people kind of pulling back on consumer spending.

347
00:18:26,119 --> 00:18:27,960
Speaker 1: And as I said, now there are fewer supports in

348
00:18:28,000 --> 00:18:31,480
Speaker 1: place to keep them spending, keep them feeling like they

349
00:18:31,480 --> 00:18:33,760
Speaker 1: can stay in their house, they can stay in their apartment,

350
00:18:33,840 --> 00:18:36,720
Speaker 1: that things are going to be okay. Visibility in terms

351
00:18:36,760 --> 00:18:39,120
Speaker 1: of what they're going to do on this reconciliation package

352
00:18:39,119 --> 00:18:42,880
Speaker 1: and any further relief that is going to come very

353
00:18:42,960 --> 00:18:46,239
Speaker 1: very unclear what's ultimately going to come out of that.

354
00:18:46,520 --> 00:18:52,000
Speaker 1: So on the pandemic. They seem to understand that the

355
00:18:52,040 --> 00:18:54,880
Speaker 1: thing that matters most is just the reality of how

356
00:18:54,920 --> 00:18:58,359
Speaker 1: DELTA is. So I think they feel totally comfortable with

357
00:18:58,440 --> 00:19:02,760
Speaker 1: standing any blowback over or new restrictions, new requirements, all

358
00:19:02,840 --> 00:19:05,199
Speaker 1: of those sorts of things, as long as it actually

359
00:19:05,280 --> 00:19:08,399
Speaker 1: works to get delta under control, because ultimately, what are

360
00:19:08,440 --> 00:19:10,679
Speaker 1: people going to vote on. It's not so much going

361
00:19:10,720 --> 00:19:13,240
Speaker 1: to be on this policy choice or that policy choice.

362
00:19:13,240 --> 00:19:15,160
Speaker 1: It's going to be on how do I feel right now?

363
00:19:15,200 --> 00:19:17,200
Speaker 1: How do I think things are actually am better off

364
00:19:17,200 --> 00:19:18,840
Speaker 1: now than it was to Yeah, so I think they

365
00:19:19,240 --> 00:19:21,880
Speaker 1: seem to understand that with regard to the pandemic. They

366
00:19:21,960 --> 00:19:24,320
Speaker 1: don't seem to understand that right now with regard to

367
00:19:24,359 --> 00:19:27,840
Speaker 1: the economy, where yeah, people may scream and put up

368
00:19:27,840 --> 00:19:31,520
Speaker 1: a fuss and you cry to Larry Cudlow on Fox

369
00:19:31,720 --> 00:19:34,959
Speaker 1: Business or whatever if he spends more money and provides

370
00:19:35,000 --> 00:19:38,080
Speaker 1: these supports, But if the economy is doing well, ultimately,

371
00:19:38,240 --> 00:19:41,560
Speaker 1: that's the metric that really counts versus all these sort

372
00:19:41,560 --> 00:19:46,600
Speaker 1: of inside the Beltway policy choices and decisions. So he's

373
00:19:46,600 --> 00:19:50,440
Speaker 1: in a very perilous, precarious place right now. I think

374
00:19:50,440 --> 00:19:52,840
Speaker 1: it's kind of a tipping point where either things are

375
00:19:52,840 --> 00:19:54,359
Speaker 1: going to start to get better and people are going

376
00:19:54,400 --> 00:19:56,840
Speaker 1: to start to feel that optimism again, or things are

377
00:19:56,920 --> 00:19:58,800
Speaker 1: going to kind of stay stagnant and people are going

378
00:19:58,840 --> 00:20:00,960
Speaker 1: to feel really frustrated. We've been in this place for

379
00:20:01,000 --> 00:20:04,480
Speaker 1: a long time. To my mind, they're not doing nearly

380
00:20:04,640 --> 00:20:08,040
Speaker 1: enough on the economy to make sure that people are

381
00:20:08,080 --> 00:20:11,080
Speaker 1: feeling that sense of optimism that would drive them into

382
00:20:11,119 --> 00:20:13,359
Speaker 1: the polls for the midterms. I completely agree with you,

383
00:20:13,440 --> 00:20:16,760
Speaker 1: it's totally middling. You know, if you're a normal person,

384
00:20:17,200 --> 00:20:19,479
Speaker 1: can you ask and answer the question what the hell

385
00:20:19,600 --> 00:20:22,960
Speaker 1: is going on with reconciliation or even as that, and

386
00:20:23,000 --> 00:20:26,480
Speaker 1: answer the question what is actually in the damn thing?

387
00:20:26,840 --> 00:20:29,960
Speaker 1: Nobody knows. You've got Joe Manchin and Kirsten Cinema, they

388
00:20:29,960 --> 00:20:32,520
Speaker 1: were at the White House yesterday. They've got these deadlines.

389
00:20:32,560 --> 00:20:35,160
Speaker 1: Everybody's arguing over money. Nobody's actually even telling you what's

390
00:20:35,200 --> 00:20:37,080
Speaker 1: really in the thing. I'm telling you this thing is

391
00:20:37,080 --> 00:20:40,480
Speaker 1: Obamacare two point zero. It's a total disaster. It's dragging

392
00:20:40,480 --> 00:20:43,000
Speaker 1: on forever. There's no way it's going to pass. All

393
00:20:43,000 --> 00:20:44,760
Speaker 1: eyes right now, by the way, Crystal point to a

394
00:20:44,760 --> 00:20:47,399
Speaker 1: government shutdown over the dead ceiling at the end of

395
00:20:47,440 --> 00:20:50,080
Speaker 1: the month, so everybody watch with that. You heard it here. First,

396
00:20:50,119 --> 00:20:52,640
Speaker 1: I'm almost certain that the government is going to shut down,

397
00:20:52,680 --> 00:20:55,480
Speaker 1: which almost always drags the economy down with it because

398
00:20:55,480 --> 00:20:58,119
Speaker 1: of services all of that. That'll be, you know, the

399
00:20:58,200 --> 00:21:00,000
Speaker 1: last thing we need. But it almost certain will happen.

400
00:21:00,119 --> 00:21:02,600
Speaker 1: And because of some idiotic demo maneuvers, and of course

401
00:21:02,720 --> 00:21:04,760
Speaker 1: McConnell and them want Biden to suffer, so they're not

402
00:21:04,760 --> 00:21:07,600
Speaker 1: going to vote for it. Put that all together, Biden

403
00:21:07,640 --> 00:21:09,920
Speaker 1: is betting of a vaccine mandate. And you know, we

404
00:21:10,000 --> 00:21:12,440
Speaker 1: got some mixed views here, so let's put the Axios

405
00:21:12,480 --> 00:21:14,080
Speaker 1: tear sheet up there on the screen. In terms of

406
00:21:14,119 --> 00:21:17,080
Speaker 1: the polling, so they say that sixty percent of voters

407
00:21:17,119 --> 00:21:20,600
Speaker 1: are backing the Biden vaccine mandate. So what they mean

408
00:21:20,640 --> 00:21:25,120
Speaker 1: by that, and it's important Axios asked this question support

409
00:21:25,160 --> 00:21:29,600
Speaker 1: for federal COVID nineteen vaccine mandate and testing. So whenever

410
00:21:29,640 --> 00:21:33,200
Speaker 1: you mention the testing, the number is at sixty percent.

411
00:21:33,400 --> 00:21:36,760
Speaker 1: So it's amongst Republicans, it's sixty nine percent of POSE

412
00:21:37,000 --> 00:21:40,920
Speaker 1: thirty percent, support amongst Democrats sixteen percent of POSE Democrat

413
00:21:41,000 --> 00:21:44,439
Speaker 1: eighty four percent, but independent number pretty critical there thirty

414
00:21:44,480 --> 00:21:49,080
Speaker 1: seven percent sixty two for support. However, whenever you ask

415
00:21:49,119 --> 00:21:51,960
Speaker 1: it as a mandate question, and actually this is where

416
00:21:51,960 --> 00:21:53,600
Speaker 1: I think it's all going to be about branding. Let's

417
00:21:53,600 --> 00:21:55,119
Speaker 1: put this the next one up there on the screen

418
00:21:55,359 --> 00:21:59,760
Speaker 1: from Quinnipiac. Well, whenever you drop the whenever you drop

419
00:21:59,800 --> 00:22:03,560
Speaker 1: the testing provision, then it's forty percent approve fifty one

420
00:22:03,600 --> 00:22:07,080
Speaker 1: percent disapprove. So I think Crystal that you know, giving

421
00:22:07,119 --> 00:22:09,439
Speaker 1: your nuanced position on this, you know, we may disagree

422
00:22:09,440 --> 00:22:12,639
Speaker 1: a little bit, but it's fine. Is whenever you drop

423
00:22:12,760 --> 00:22:16,159
Speaker 1: the testing from the discourse, and you I think the

424
00:22:16,200 --> 00:22:18,320
Speaker 1: Republicans are gonna have a good time on this because

425
00:22:18,359 --> 00:22:22,000
Speaker 1: as they can frame it purely as a vaccine mandate,

426
00:22:22,359 --> 00:22:25,200
Speaker 1: then there is disapproval, or at least at the very least,

427
00:22:25,240 --> 00:22:28,520
Speaker 1: it's complete fifty to fifty my opinion, based upon the

428
00:22:28,720 --> 00:22:30,680
Speaker 1: structural realities in the House and all that is it

429
00:22:30,720 --> 00:22:32,800
Speaker 1: fifty to fifty means like fifty five to forty five

430
00:22:32,840 --> 00:22:34,720
Speaker 1: for Republicans just because of the weight you know, in

431
00:22:34,800 --> 00:22:37,520
Speaker 1: terms of the House of Representatives and especially in the Senate,

432
00:22:37,920 --> 00:22:40,920
Speaker 1: whereas if you include the testing, that is going to

433
00:22:41,000 --> 00:22:43,240
Speaker 1: be the hardest part. But I'm curious, like how does

434
00:22:43,280 --> 00:22:47,160
Speaker 1: Biden thread that needle because he both needs to reassure

435
00:22:47,200 --> 00:22:50,320
Speaker 1: the Democrats who are super pro actual mandate, but then

436
00:22:50,320 --> 00:22:52,560
Speaker 1: he also needs to reassure the people who don't want

437
00:22:52,600 --> 00:22:54,480
Speaker 1: to get the vaccine. They're like, no, no no, no, you're

438
00:22:54,560 --> 00:22:56,320
Speaker 1: not gonna get fired right like, you can still have

439
00:22:56,359 --> 00:22:58,520
Speaker 1: a test. That's going to be a very difficult game

440
00:22:58,560 --> 00:23:02,240
Speaker 1: for him to play. I think the messaging matters less

441
00:23:02,280 --> 00:23:04,480
Speaker 1: than the reality. I think this is one of these

442
00:23:05,119 --> 00:23:09,399
Speaker 1: situations where if the cases drop, if the hospitalizations drop,

443
00:23:09,520 --> 00:23:12,200
Speaker 1: if you have more people actually getting vaccinated, and it's

444
00:23:12,240 --> 00:23:14,080
Speaker 1: having an impact in the parts of the country that

445
00:23:14,119 --> 00:23:18,000
Speaker 1: are real hotspots right now, I think that reality This

446
00:23:18,080 --> 00:23:20,760
Speaker 1: is an instance where the reality trump's the messaging because

447
00:23:21,119 --> 00:23:23,119
Speaker 1: it is truly going to be about what people are

448
00:23:23,160 --> 00:23:25,680
Speaker 1: experiencing in their daily lives. I mean all of us.

449
00:23:25,880 --> 00:23:29,000
Speaker 1: I don't live in a particular like COVID hot spot area,

450
00:23:29,160 --> 00:23:31,920
Speaker 1: but we're all dealing as parents with kids getting set

451
00:23:31,920 --> 00:23:35,120
Speaker 1: home to quarantine because they've been exposed to a positive

452
00:23:35,400 --> 00:23:38,920
Speaker 1: test case at school, and it's just it's all very disruptive.

453
00:23:39,160 --> 00:23:40,960
Speaker 1: It's not the biggest deal in the world, but it's

454
00:23:40,960 --> 00:23:43,320
Speaker 1: all very disruptive. Everybody was hoping you'd be able to

455
00:23:43,320 --> 00:23:44,960
Speaker 1: go back to school this year, maybe even the kids

456
00:23:44,960 --> 00:23:46,960
Speaker 1: wouldn't have to wear the masks in the school this year,

457
00:23:47,359 --> 00:23:50,720
Speaker 1: and that everything would go smoothly. So if we're getting

458
00:23:50,720 --> 00:23:53,399
Speaker 1: into the midterms and we do feel like we've really

459
00:23:53,400 --> 00:23:55,680
Speaker 1: turned this corner this time, and you've got a larger

460
00:23:55,720 --> 00:23:58,320
Speaker 1: percentage of the population vaccinating, you're not having these hot

461
00:23:58,320 --> 00:24:01,640
Speaker 1: spots and these surges and all the ICU beds full

462
00:24:01,680 --> 00:24:03,960
Speaker 1: and all of that, I think that's going to matter

463
00:24:04,040 --> 00:24:08,320
Speaker 1: a lot more than the messaging right now in this

464
00:24:08,359 --> 00:24:12,120
Speaker 1: particular political moment. Look, I think Democrats feel pretty confident

465
00:24:12,520 --> 00:24:15,760
Speaker 1: about the choices that they've made here. Most of the

466
00:24:15,760 --> 00:24:18,240
Speaker 1: polling seems to indicate that a majority of the public

467
00:24:18,320 --> 00:24:20,760
Speaker 1: is with them. I also think that there's something to

468
00:24:21,000 --> 00:24:23,360
Speaker 1: you know, Republicans were all in on this culture war

469
00:24:23,400 --> 00:24:26,200
Speaker 1: fight anyway, and Biden. We talked about how Biden was

470
00:24:26,280 --> 00:24:28,359
Speaker 1: kind of the worst of both worlds because he wasn't

471
00:24:28,400 --> 00:24:31,800
Speaker 1: really leaning into the Democratic position, but he also obviously

472
00:24:31,880 --> 00:24:34,720
Speaker 1: wasn't like with the Republican position. Now he's kind of

473
00:24:34,760 --> 00:24:37,840
Speaker 1: leaned into the fight and given people something to side with,

474
00:24:38,480 --> 00:24:39,800
Speaker 1: and I think that is part of the story in

475
00:24:39,800 --> 00:24:44,280
Speaker 1: California too, is you had these clear lines, you can't Unfortunately,

476
00:24:44,320 --> 00:24:46,560
Speaker 1: you can't opt out of these things. You've got to

477
00:24:46,600 --> 00:24:48,879
Speaker 1: stay out a position and give people a reason or

478
00:24:48,960 --> 00:24:51,760
Speaker 1: rally to you. So I think that if nothing else,

479
00:24:52,200 --> 00:24:56,600
Speaker 1: making these clear calls with regards to more aggressively trying

480
00:24:56,600 --> 00:25:00,320
Speaker 1: to get people vaccinated is going to going to cut

481
00:25:00,320 --> 00:25:02,639
Speaker 1: through a little bit of the apathy with the Democratic

482
00:25:02,640 --> 00:25:04,480
Speaker 1: base that was a problem. And one thing I noted

483
00:25:04,520 --> 00:25:08,600
Speaker 1: on this so part of what that Axios Ipsos poll

484
00:25:08,680 --> 00:25:11,040
Speaker 1: that had sixty percent of voters backing the Biden mandates,

485
00:25:11,280 --> 00:25:15,399
Speaker 1: part of what they found is that there's extreme intensity

486
00:25:15,400 --> 00:25:19,160
Speaker 1: on the issue. So the numbers of very strong approval

487
00:25:19,240 --> 00:25:22,520
Speaker 1: and the numbers of very strong disapproval are pretty high.

488
00:25:22,720 --> 00:25:24,480
Speaker 1: The people are in the middle like, yeah, it's okay,

489
00:25:24,520 --> 00:25:29,159
Speaker 1: I'm not sure, sure, no, whatever, Those numbers are relatively small.

490
00:25:29,280 --> 00:25:32,880
Speaker 1: People are very animated on this issue, and Democrats need

491
00:25:32,920 --> 00:25:35,639
Speaker 1: their voters to be animated on these issues to actually

492
00:25:35,720 --> 00:25:38,919
Speaker 1: show up one hundred percent. And for anybody who's complaining,

493
00:25:39,000 --> 00:25:41,480
Speaker 1: I would just point to you to one Donald Trump,

494
00:25:41,520 --> 00:25:44,960
Speaker 1: who actually invented the strategy in terms of cleaving the

495
00:25:45,000 --> 00:25:48,080
Speaker 1: public apart and making sure that you fight and feel

496
00:25:48,119 --> 00:25:51,080
Speaker 1: incredibly polarizing on one way or the other. It's actually

497
00:25:51,080 --> 00:25:53,920
Speaker 1: a very good electoral strategy. And so that is something

498
00:25:53,920 --> 00:25:56,440
Speaker 1: where I get so annoyed whenever I hear a lot

499
00:25:56,480 --> 00:25:59,080
Speaker 1: of you know, Republicans more be like Biden is just

500
00:25:59,400 --> 00:26:02,560
Speaker 1: talking down blah blah blah. I'm like, you guys invented this,

501
00:26:02,840 --> 00:26:05,840
Speaker 1: you know you literally Trump literally rode this wave to

502
00:26:06,000 --> 00:26:08,920
Speaker 1: the White House. And how did it work out? Everybody

503
00:26:09,119 --> 00:26:11,920
Speaker 1: we all hate each other more. Everybody you know doesn't

504
00:26:11,920 --> 00:26:15,359
Speaker 1: want to listen. People feel intentally polarized. And look, we

505
00:26:15,400 --> 00:26:17,680
Speaker 1: try to approach it with as much nuance here as possible,

506
00:26:17,760 --> 00:26:21,639
Speaker 1: but we're just giving you the exact electoral ramifications. And

507
00:26:21,640 --> 00:26:23,439
Speaker 1: I think you're one hundred percent right, which is, if

508
00:26:23,440 --> 00:26:25,760
Speaker 1: you turn this into a moral crusade, which it is

509
00:26:25,920 --> 00:26:27,720
Speaker 1: for a lot of people, especially around the people I

510
00:26:27,760 --> 00:26:29,880
Speaker 1: live around, they will come out to vote because they'll

511
00:26:29,920 --> 00:26:32,240
Speaker 1: be like absolutely, I mean, they love telling people what

512
00:26:32,280 --> 00:26:35,000
Speaker 1: to do. And then on the other side, people love

513
00:26:35,080 --> 00:26:38,080
Speaker 1: telling people. Don't tell me what to do. And Trump

514
00:26:38,280 --> 00:26:41,600
Speaker 1: leaned into this more than any politician. So from a

515
00:26:41,680 --> 00:26:46,040
Speaker 1: pure electoral ramification standpoint, it's correct that if Biden gives

516
00:26:46,080 --> 00:26:48,679
Speaker 1: these people, you know, they feel like they're moral crusaders,

517
00:26:48,920 --> 00:26:51,040
Speaker 1: that's a real good way to get you've got something

518
00:26:51,119 --> 00:26:53,560
Speaker 1: to fight and something to defend. Exactly. It goes back

519
00:26:53,600 --> 00:26:56,480
Speaker 1: to New some what his ads were. Listen, I put

520
00:26:56,480 --> 00:26:59,199
Speaker 1: these requirements in place for teachers and healthcare workers, and

521
00:26:59,240 --> 00:27:02,240
Speaker 1: they're going to take it all away. So he was

522
00:27:02,280 --> 00:27:04,480
Speaker 1: able to lean into that in a way that's very effective.

523
00:27:04,520 --> 00:27:06,440
Speaker 1: You can see Terry mcculliff doing the same thing in

524
00:27:06,520 --> 00:27:09,960
Speaker 1: Virginia and Joe Biden clearly leaning into a similar strategy. Again,

525
00:27:10,000 --> 00:27:13,080
Speaker 1: I think Democrats are a tremendous disadvantage for the midterms,

526
00:27:13,359 --> 00:27:15,359
Speaker 1: but I do think that this is a much better

527
00:27:16,520 --> 00:27:20,320
Speaker 1: political strategy that will help them to mitigate their worst

528
00:27:20,359 --> 00:27:24,680
Speaker 1: potential losses because of con you can't have apathy. I mean, look,

529
00:27:24,720 --> 00:27:27,520
Speaker 1: I actually do think I support these requires, and I

530
00:27:27,560 --> 00:27:29,639
Speaker 1: don't think that he has gone too far in terms

531
00:27:29,680 --> 00:27:32,080
Speaker 1: of like shaming people or having contempt for them. I

532
00:27:32,160 --> 00:27:34,320
Speaker 1: generally think he's pretty good about that as far as

533
00:27:34,320 --> 00:27:38,399
Speaker 1: Democrats go. However, the big thing that they were worried

534
00:27:38,400 --> 00:27:41,520
Speaker 1: about is Democrats being apathetic, and I think that this

535
00:27:41,600 --> 00:27:44,600
Speaker 1: gives them some juice and Ultimately, again, I come back

536
00:27:44,640 --> 00:27:48,280
Speaker 1: to what is going to matter is the actual reality

537
00:27:48,680 --> 00:27:51,760
Speaker 1: more than the political messaging and the consultants speak and

538
00:27:51,840 --> 00:27:55,680
Speaker 1: what the ads say. If people actually feel like we're

539
00:27:55,680 --> 00:27:58,440
Speaker 1: moving in the right direction and these people over here

540
00:27:58,560 --> 00:28:00,920
Speaker 1: are going to take us backwards, that's going to be

541
00:28:00,920 --> 00:28:02,840
Speaker 1: a much better place for Democrats to stand in. I

542
00:28:02,880 --> 00:28:05,560
Speaker 1: think that's definitely. Hey, So remember how we told you

543
00:28:05,640 --> 00:28:08,760
Speaker 1: how awesome premium membership was. Well, here we are again

544
00:28:08,800 --> 00:28:11,359
Speaker 1: to remind you that becoming a premium member means you

545
00:28:11,440 --> 00:28:14,000
Speaker 1: don't have to listen to our constant please for you

546
00:28:14,160 --> 00:28:16,760
Speaker 1: to subscribe. So what are you waiting for? Become a

547
00:28:16,760 --> 00:28:19,720
Speaker 1: premium member today by going to Breakingpoints dot com, which

548
00:28:19,760 --> 00:28:22,280
Speaker 1: you can click on in the show notes. All Right,

549
00:28:22,280 --> 00:28:23,800
Speaker 1: we've got a very important story we want to keep

550
00:28:23,840 --> 00:28:27,639
Speaker 1: everybody updated on around Larry Nasser the FBI. There was

551
00:28:27,800 --> 00:28:30,919
Speaker 1: a hearing yesterday on Capitol Hill where some of the

552
00:28:31,119 --> 00:28:34,679
Speaker 1: star gymnasts actually came and gave some testimony in terms

553
00:28:34,680 --> 00:28:38,560
Speaker 1: of not only their abuse by Larry Nasser whenever he

554
00:28:38,760 --> 00:28:42,360
Speaker 1: was the doctor for USA Gymnastics, but in terms of

555
00:28:42,400 --> 00:28:46,040
Speaker 1: their dealings with the FBI, how they spoke out exactly

556
00:28:46,040 --> 00:28:48,520
Speaker 1: on the abuse, that they were suffering, and that they

557
00:28:48,760 --> 00:28:53,200
Speaker 1: were turned away by the FBI, and Larry Nasser continued

558
00:28:53,520 --> 00:28:56,920
Speaker 1: to molest dozens hundreds of young girls even when law

559
00:28:57,000 --> 00:28:59,840
Speaker 1: enforcement was aware of the issue. So let's go ahead

560
00:28:59,840 --> 00:29:02,479
Speaker 1: and to listen to Mikhayla Maroney. Most of you are

561
00:29:02,520 --> 00:29:05,920
Speaker 1: probably aware I was molested by the US gymnastics national

562
00:29:05,960 --> 00:29:10,440
Speaker 1: team and Olympic team doctor Larry Nassar, and in actuality

563
00:29:10,600 --> 00:29:12,600
Speaker 1: he turned out to be more of a pedophile than

564
00:29:12,600 --> 00:29:15,200
Speaker 1: he was a doctor. What I'm trying to bring to

565
00:29:15,240 --> 00:29:20,040
Speaker 1: your attention today is something incredibly disturbing and illegal. After

566
00:29:20,080 --> 00:29:22,920
Speaker 1: telling my entire story of abuse to the FBI in

567
00:29:22,960 --> 00:29:26,680
Speaker 1: the summer of twenty fifteen, not only did the FBI

568
00:29:26,880 --> 00:29:30,920
Speaker 1: not report my abuse, but when they eventually documented my

569
00:29:31,040 --> 00:29:36,080
Speaker 1: report seventeen months later, they made entirely false claims about

570
00:29:36,120 --> 00:29:40,600
Speaker 1: what I said. After reading the Office of Inspector General's

571
00:29:40,640 --> 00:29:44,440
Speaker 1: OIG report, I was shocked and deeply disappointed at this

572
00:29:44,560 --> 00:29:48,000
Speaker 1: narrative they chose to fabricate. They chose to lie about

573
00:29:48,000 --> 00:29:51,760
Speaker 1: what I said and protect a serial child molestor rather

574
00:29:51,800 --> 00:29:55,960
Speaker 1: than protect not only me, but countless others. This was

575
00:29:56,200 --> 00:30:00,320
Speaker 1: very clear, cookie cutter pedophilia and abuse. And this is

576
00:30:00,320 --> 00:30:03,280
Speaker 1: important because I told the FBI all of this, and

577
00:30:03,320 --> 00:30:06,120
Speaker 1: they chose to falsify my report and to not only

578
00:30:06,200 --> 00:30:11,120
Speaker 1: minimize my abuse but silence me yet again. I thought,

579
00:30:11,160 --> 00:30:13,520
Speaker 1: given the severity of this situation, that they would act

580
00:30:13,600 --> 00:30:16,800
Speaker 1: quickly for the sake of protecting other girls, but instead

581
00:30:17,040 --> 00:30:21,040
Speaker 1: it took them fourteen months to report anything when Larry Nassar,

582
00:30:21,200 --> 00:30:23,800
Speaker 1: in my opinion, should have been in jail that day.

583
00:30:24,800 --> 00:30:29,160
Speaker 1: The FBI, USOC and USAG sat idly by as dozens

584
00:30:29,320 --> 00:30:33,160
Speaker 1: of girls and women continued to be molested by Larry Nassar.

585
00:30:34,760 --> 00:30:38,360
Speaker 1: According to the OIG report, about fourteen months after I

586
00:30:38,440 --> 00:30:41,400
Speaker 1: disclosed my abuse to the FBI, nearly a year and

587
00:30:41,440 --> 00:30:44,360
Speaker 1: a half later, the FBI agent who interviewed me in

588
00:30:44,360 --> 00:30:48,840
Speaker 1: twenty fifteen decided to write down my statement, a statement

589
00:30:48,920 --> 00:30:53,160
Speaker 1: that the OIG report determined to be materially false. Let's

590
00:30:53,200 --> 00:30:56,920
Speaker 1: be honest. By not taking immediate action from my report,

591
00:30:57,160 --> 00:31:01,560
Speaker 1: they allowed a child molester to go free for more

592
00:31:01,680 --> 00:31:06,400
Speaker 1: than a year, and this inaction directly allowed Nasar's abuse

593
00:31:06,480 --> 00:31:11,719
Speaker 1: to continue. What is the point of reporting abuse if

594
00:31:11,760 --> 00:31:15,440
Speaker 1: our own FBI agents are going to take it upon themselves.

595
00:31:15,720 --> 00:31:19,440
Speaker 1: To bury that report in a drawer. They had legal,

596
00:31:19,560 --> 00:31:24,800
Speaker 1: legitimate evidence of child abuse and did nothing. If they're

597
00:31:24,840 --> 00:31:27,640
Speaker 1: not going to protect me, I want to know who

598
00:31:27,640 --> 00:31:31,240
Speaker 1: are they trying to protect. What's even more upsetting to

599
00:31:31,280 --> 00:31:35,280
Speaker 1: me is that now we know that these FBI agents

600
00:31:35,320 --> 00:31:39,680
Speaker 1: have committed an obvious crime. They falsified my statement, and

601
00:31:39,720 --> 00:31:43,760
Speaker 1: that is illegal in itself, yet no recourse has been

602
00:31:43,800 --> 00:31:47,560
Speaker 1: taken against them. God just makes your blood boil. Gabe,

603
00:31:47,600 --> 00:31:51,880
Speaker 1: I mean scathing, Yeah, I mean props to her speaking

604
00:31:51,880 --> 00:31:54,360
Speaker 1: out that way. I mean, Simone Biles had a very

605
00:31:54,400 --> 00:31:56,320
Speaker 1: similar story. Let's take a listen to what she said.

606
00:31:56,800 --> 00:32:00,480
Speaker 1: I don't want another young gymnast, Olympic athlete, or any

607
00:32:00,480 --> 00:32:03,960
Speaker 1: individual to experience the horror that I and hundreds of

608
00:32:04,000 --> 00:32:08,800
Speaker 1: others have endured before, during, and continuing to this day

609
00:32:10,280 --> 00:32:17,600
Speaker 1: in the week of the Larying ass for abuse. To

610
00:32:17,680 --> 00:32:27,920
Speaker 1: be clear, sorry, take your time to be clear. I

611
00:32:28,000 --> 00:32:35,080
Speaker 1: blame laring Asser, and I also blame an entire system

612
00:32:35,600 --> 00:32:43,280
Speaker 1: that enabled and perpetrated his abuse. Wow. That is hard

613
00:32:43,320 --> 00:32:47,360
Speaker 1: to watch. I mean, what they're describing here is just

614
00:32:47,840 --> 00:32:52,520
Speaker 1: failure after failure after failure. Not only does the FBI

615
00:32:53,120 --> 00:32:57,880
Speaker 1: sit on these allegations, do nothing, multiple credible allegations, they

616
00:32:57,920 --> 00:33:00,640
Speaker 1: just sit on them. Then, according to my Cala Moroney,

617
00:33:01,040 --> 00:33:04,920
Speaker 1: they lie false fider statement why and falsify her statement

618
00:33:04,960 --> 00:33:08,320
Speaker 1: about what she actually told them about the abuse that

619
00:33:08,400 --> 00:33:11,160
Speaker 1: she suffered. And of course the worst part of all

620
00:33:11,200 --> 00:33:14,920
Speaker 1: of it is that by their inaction, they allowed this

621
00:33:15,000 --> 00:33:20,080
Speaker 1: man to continue to go and victimize young girls and

622
00:33:20,200 --> 00:33:26,080
Speaker 1: carry out his horrific abuse for another day, months, year.

623
00:33:27,000 --> 00:33:29,960
Speaker 1: I mean, it just is so unconsurable. And you look

624
00:33:29,960 --> 00:33:32,480
Speaker 1: at the FBI and told, you're like, what are you

625
00:33:32,560 --> 00:33:36,000
Speaker 1: people doing anyway? What are you doing? Like you couldn't

626
00:33:36,000 --> 00:33:40,560
Speaker 1: prevent January sixth, framing those guys going after the governor.

627
00:33:42,000 --> 00:33:44,760
Speaker 1: There was never any holding to account of the many

628
00:33:44,960 --> 00:33:48,080
Speaker 1: war on terror plots that they invented so that they

629
00:33:48,160 --> 00:33:52,360
Speaker 1: you know, actively radicalizing people and providing them support so

630
00:33:52,400 --> 00:33:54,280
Speaker 1: that they could then ride in and pretend like they're

631
00:33:54,320 --> 00:33:57,840
Speaker 1: the heroes disrupting plots that they themselves created. Now they

632
00:33:57,880 --> 00:34:02,440
Speaker 1: seem to be applying those tactics stickley, inventing maybe a

633
00:34:02,480 --> 00:34:05,560
Speaker 1: plot to kidnap Gretchen Whitmer. We know there were more

634
00:34:05,680 --> 00:34:09,719
Speaker 1: FBI informants working on that then there were actual defendants,

635
00:34:09,760 --> 00:34:12,200
Speaker 1: and by the way. Their lead dude just had to

636
00:34:12,680 --> 00:34:16,000
Speaker 1: just was fired by the FBI for domestic violence. So

637
00:34:16,239 --> 00:34:19,440
Speaker 1: great group they've got going there, Like, what the hell

638
00:34:19,680 --> 00:34:24,480
Speaker 1: is going on with the FBI? This is unconscionable. Well,

639
00:34:24,480 --> 00:34:27,640
Speaker 1: and what did we just learn? It took until yesterday.

640
00:34:27,719 --> 00:34:29,520
Speaker 1: Let's put this up there on the screen for the

641
00:34:29,640 --> 00:34:32,879
Speaker 1: FBI agent who failed to pursue those tips to even

642
00:34:32,920 --> 00:34:36,279
Speaker 1: be fired. It took until yesterday. We've known about this

643
00:34:36,520 --> 00:34:40,960
Speaker 1: for five years. Unless we all forget WJ. Abbott and

644
00:34:41,000 --> 00:34:43,520
Speaker 1: I'll say his name over and over again. WJ. Abbott,

645
00:34:43,560 --> 00:34:47,520
Speaker 1: the former special agent in the Indianapolis office who voluntarily

646
00:34:47,640 --> 00:34:52,480
Speaker 1: retired made false statements to the Justice Department because he

647
00:34:52,520 --> 00:34:54,720
Speaker 1: was one of the people involved in covering up this case.

648
00:34:55,120 --> 00:34:58,920
Speaker 1: And what did we learn, Crystal That he was angling

649
00:34:59,000 --> 00:35:03,560
Speaker 1: for a job after he retired with USA Olympic and

650
00:35:03,600 --> 00:35:08,400
Speaker 1: Paralympic Committee and discussed it with Steve Penny, who was

651
00:35:08,440 --> 00:35:11,600
Speaker 1: the president of USA Gymnastics. So what does that mean.

652
00:35:12,360 --> 00:35:16,000
Speaker 1: Not only did he leave the FBI with no disciplinary

653
00:35:16,080 --> 00:35:20,400
Speaker 1: action whatsoever while he was there and covering up this

654
00:35:20,560 --> 00:35:23,480
Speaker 1: sexual predator abusing these young girls, he was trying to

655
00:35:23,480 --> 00:35:26,799
Speaker 1: go work for USA Gymnastics and the US or sorry

656
00:35:26,880 --> 00:35:30,239
Speaker 1: for the US Olympic Committee and by not doing all

657
00:35:30,239 --> 00:35:33,600
Speaker 1: of this while Larry Nasser was at Michigan State University

658
00:35:33,960 --> 00:35:38,759
Speaker 1: that he was abusing both people there and the gymnasts

659
00:35:38,800 --> 00:35:42,640
Speaker 1: A team USA, so all of it together. The only

660
00:35:42,680 --> 00:35:45,680
Speaker 1: people who've really been punished were the girls themselves who

661
00:35:45,680 --> 00:35:49,160
Speaker 1: were molested. I forget her name. She was taken off

662
00:35:49,239 --> 00:35:52,200
Speaker 1: of the team for initially even reporting all of this

663
00:35:52,520 --> 00:35:56,480
Speaker 1: to Larry Nasser, and I forgot her name. There's a

664
00:35:56,480 --> 00:35:59,160
Speaker 1: whole documentary athlete A. I think it is on Netflix s.

665
00:35:59,239 --> 00:36:02,440
Speaker 1: I recommend it. Everybody go and watch it. But really

666
00:36:02,440 --> 00:36:04,880
Speaker 1: what it is is that you put all of this together,

667
00:36:05,480 --> 00:36:09,719
Speaker 1: and everybody in the system protected him. The us A Gymnastics,

668
00:36:09,960 --> 00:36:13,200
Speaker 1: they didn't want it to be a scandal. Steve Penny

669
00:36:13,360 --> 00:36:17,720
Speaker 1: repeatedly made false statements to the parents of the people

670
00:36:17,719 --> 00:36:20,600
Speaker 1: who reported the crime and then retaliated against the family

671
00:36:20,840 --> 00:36:23,799
Speaker 1: who had the real courage in order to go and

672
00:36:23,880 --> 00:36:26,799
Speaker 1: speak out. And then these poor girls are at the Olympics,

673
00:36:26,800 --> 00:36:30,480
Speaker 1: they're winning gold, and then they're getting molested while they're there.

674
00:36:30,880 --> 00:36:34,160
Speaker 1: Simone Biles and Mikhayla Maroney. I mean, these were household

675
00:36:34,280 --> 00:36:36,640
Speaker 1: name heroes here in the United States, and at the

676
00:36:36,680 --> 00:36:40,239
Speaker 1: same time they're going through these like horrific personal traumas.

677
00:36:40,560 --> 00:36:44,160
Speaker 1: And then at the end of the day, Mikayla Moroney

678
00:36:44,160 --> 00:36:47,400
Speaker 1: in particular, I mean was really struggling at the time,

679
00:36:47,760 --> 00:36:50,640
Speaker 1: and she told the FBI before her own mom because

680
00:36:50,640 --> 00:36:53,440
Speaker 1: he was so ashamed of what was going on. And

681
00:36:53,480 --> 00:36:57,480
Speaker 1: then this guy betrays her trust completely and lets it

682
00:36:57,520 --> 00:37:00,799
Speaker 1: all go. I mean, there's just the fact firing is

683
00:37:00,920 --> 00:37:04,279
Speaker 1: nothing okay. And then this other guy wj Abbott. These

684
00:37:04,320 --> 00:37:08,160
Speaker 1: people belong in jail. I mean, there's no other way

685
00:37:08,200 --> 00:37:11,040
Speaker 1: to describe it. And Christopher Ray FBI directory, is like, oh,

686
00:37:11,080 --> 00:37:13,640
Speaker 1: I'm heartsick. You know, we had to take some disciplinary action.

687
00:37:13,960 --> 00:37:16,040
Speaker 1: I mean, I'm gonna save the expletives. But you know,

688
00:37:16,160 --> 00:37:18,680
Speaker 1: screw you, like, you know, in terms, if that's all

689
00:37:18,680 --> 00:37:24,040
Speaker 1: we got, like, screw you have you have no public confidence. Also,

690
00:37:24,120 --> 00:37:27,320
Speaker 1: right now, our city is crawling with Feds because September

691
00:37:27,320 --> 00:37:30,640
Speaker 1: eighteenth is coming, and there's some like January sixth thing,

692
00:37:30,719 --> 00:37:32,760
Speaker 1: and they put the fencing back up in the Capitol

693
00:37:32,800 --> 00:37:34,760
Speaker 1: and you know, I have seen a little unmarked cars

694
00:37:34,880 --> 00:37:37,560
Speaker 1: rolling around. So the dump trucks coming in this morning

695
00:37:37,560 --> 00:37:39,600
Speaker 1: It's like, good guys, this is what you're focus on

696
00:37:39,760 --> 00:37:43,920
Speaker 1: while you're letting literal serial predators off of the off

697
00:37:43,920 --> 00:37:45,720
Speaker 1: the hook as well. They were. They were very busy

698
00:37:45,760 --> 00:37:48,839
Speaker 1: framing Muslims at the time, so Zagara they couldn't really

699
00:37:48,960 --> 00:37:54,160
Speaker 1: couldn't be bothered to look into actual ongoing crimes. I

700
00:37:54,200 --> 00:37:56,879
Speaker 1: don't know, if you're of these girls, how you ever

701
00:37:56,960 --> 00:38:01,040
Speaker 1: trust anyone again? Because they were true. They were failed

702
00:38:01,040 --> 00:38:04,919
Speaker 1: by every single adult along the way who viewed them

703
00:38:05,120 --> 00:38:11,080
Speaker 1: as vessels for their own ambition versus human beings who

704
00:38:11,200 --> 00:38:14,799
Speaker 1: were trusted to their care. You know, as you said,

705
00:38:14,920 --> 00:38:18,759
Speaker 1: USA gymnastics, they didn't want to scandal they this was

706
00:38:18,800 --> 00:38:21,320
Speaker 1: working out very well for them. The girls were performed,

707
00:38:21,360 --> 00:38:23,960
Speaker 1: they were getting gold, they were bringing lots of prestige

708
00:38:24,040 --> 00:38:27,000
Speaker 1: upon them. That's what they cared about. This creep at

709
00:38:27,040 --> 00:38:30,399
Speaker 1: the FBI more interested in his potential job prospects after

710
00:38:30,440 --> 00:38:33,239
Speaker 1: he leaves the agency than doing the job that he's

711
00:38:33,239 --> 00:38:37,279
Speaker 1: supposed to do in protecting these girls and bringing this

712
00:38:37,360 --> 00:38:40,960
Speaker 1: man to justice. It's just it really is horrific. And

713
00:38:40,960 --> 00:38:43,319
Speaker 1: then you think about NASA himself. I mean, this is

714
00:38:43,360 --> 00:38:48,759
Speaker 1: what is just so horrific to contemplate at all, you know,

715
00:38:48,800 --> 00:38:51,440
Speaker 1: he starts with these girls when they're so young, starts

716
00:38:51,480 --> 00:38:55,359
Speaker 1: building this trust and manipulating them and telling them, oh,

717
00:38:55,400 --> 00:38:59,720
Speaker 1: this is just part of the medical treatment. And everyone

718
00:38:59,800 --> 00:39:02,359
Speaker 1: around you is forcing you to go to this man

719
00:39:02,400 --> 00:39:06,120
Speaker 1: and telling you how great he is. And you know,

720
00:39:06,160 --> 00:39:07,799
Speaker 1: and a lot of the parents, I'm sure they didn't

721
00:39:07,960 --> 00:39:10,239
Speaker 1: they didn't know, had no idea what was going on.

722
00:39:10,440 --> 00:39:14,359
Speaker 1: So yeah, I mean, how do you ever trust a

723
00:39:14,400 --> 00:39:19,520
Speaker 1: single person again when in every single instance, time after

724
00:39:19,600 --> 00:39:22,880
Speaker 1: time after time, over years, they look down for their

725
00:39:22,920 --> 00:39:26,799
Speaker 1: own interest and just everything that you said, all your concerns,

726
00:39:26,880 --> 00:39:31,120
Speaker 1: your safety, your well being was secondary, tertiary, not even

727
00:39:31,160 --> 00:39:33,560
Speaker 1: on the radar for these people. Yeah, well, you know,

728
00:39:33,560 --> 00:39:35,920
Speaker 1: at least I got to speak out. Well, we'll continue

729
00:39:35,920 --> 00:39:38,000
Speaker 1: to bring you guys updates where we can. Got another

730
00:39:38,080 --> 00:39:41,080
Speaker 1: deep state story for you here, this one about the CIA.

731
00:39:41,280 --> 00:39:44,000
Speaker 1: This is actually there's a lot to this story. Let's

732
00:39:44,000 --> 00:39:45,760
Speaker 1: go ahead and throw this New York Times tear sheet

733
00:39:45,880 --> 00:39:49,760
Speaker 1: up on the screen. So x US Intelligent officers admit

734
00:39:50,160 --> 00:39:54,160
Speaker 1: to hacking crimes in work for the Amordis. The lead

735
00:39:54,280 --> 00:39:57,920
Speaker 1: is three former American intelligence officers hired by the UAE

736
00:39:58,080 --> 00:40:01,880
Speaker 1: to carry out sophisticated cyber operation admitted to hacking crimes

737
00:40:02,160 --> 00:40:05,239
Speaker 1: and to violating US export laws that restrict the transfer

738
00:40:05,280 --> 00:40:08,479
Speaker 1: of military technology to foreign governments. That's according to court

739
00:40:08,480 --> 00:40:11,919
Speaker 1: documents that were just made public. Those three men, Mark Bear,

740
00:40:12,239 --> 00:40:16,160
Speaker 1: Riot Adams and Daniel GERRICKI. They admitted violating US laws

741
00:40:16,200 --> 00:40:19,960
Speaker 1: as part of a three year deferred prosecution agreement. If

742
00:40:20,040 --> 00:40:22,480
Speaker 1: the men comply with that agreement, the Justice Department will

743
00:40:22,560 --> 00:40:25,080
Speaker 1: drop the criminal prosecution. They will also pay hundreds of

744
00:40:25,360 --> 00:40:27,920
Speaker 1: thousands of dollars in fines, and they will also never

745
00:40:27,960 --> 00:40:30,759
Speaker 1: be able to receive a US government security clearance again.

746
00:40:30,840 --> 00:40:34,759
Speaker 1: So here's the backstory with all of this, and bear

747
00:40:34,840 --> 00:40:36,680
Speaker 1: with me for a moment because I went deep on

748
00:40:36,719 --> 00:40:39,000
Speaker 1: this story because there's a lot going on here. The

749
00:40:39,040 --> 00:40:43,040
Speaker 1: CIA has been warning that there's a real problem with

750
00:40:43,120 --> 00:40:47,920
Speaker 1: their former officers who understand all of our deepest tools

751
00:40:47,920 --> 00:40:50,400
Speaker 1: of spycraft and hacking and all of this in this

752
00:40:50,480 --> 00:40:53,840
Speaker 1: global side of through security world, are now getting hired

753
00:40:54,320 --> 00:40:58,799
Speaker 1: by other countries for hundreds and thousands of dollars to

754
00:40:58,920 --> 00:41:03,000
Speaker 1: go and apply there tradecraft from that they learned the CIA,

755
00:41:03,440 --> 00:41:07,280
Speaker 1: sometimes against now our own people. So these former intelligence

756
00:41:07,320 --> 00:41:10,520
Speaker 1: officers are selling themselves to the higher bidder, highest bidder

757
00:41:10,800 --> 00:41:13,640
Speaker 1: to go and do nefarious work for whatever government is

758
00:41:13,640 --> 00:41:16,319
Speaker 1: willing to pay them the highest price. The way that

759
00:41:16,440 --> 00:41:20,279
Speaker 1: this particular thing went down is initially, these dudes they

760
00:41:20,280 --> 00:41:23,040
Speaker 1: were part of a company called CyberPoint that was doing

761
00:41:23,040 --> 00:41:25,759
Speaker 1: what it looks like to be at least legal, if

762
00:41:25,800 --> 00:41:29,800
Speaker 1: not entirely legitimate work for the UAE. UAE kept pushing

763
00:41:29,840 --> 00:41:35,200
Speaker 1: them to go further and engage in illegal hacking activities,

764
00:41:35,239 --> 00:41:40,239
Speaker 1: including some allegedly targeting American citizens themselves. So since they

765
00:41:40,239 --> 00:41:43,120
Speaker 1: were with CyberPoint, and CyberPoint was like legitimate and registered

766
00:41:43,120 --> 00:41:46,160
Speaker 1: with the US government, et cetera, they they were unwilling

767
00:41:46,200 --> 00:41:50,160
Speaker 1: to do everything that Amoratis wanted. So the Amoratis started

768
00:41:50,160 --> 00:41:52,800
Speaker 1: this other company called dark Matter, got a bunch of

769
00:41:52,840 --> 00:41:55,480
Speaker 1: the employees from CyberPoint to go over to dark Matter,

770
00:41:55,760 --> 00:41:59,000
Speaker 1: and dark Matter starts doing all kinds of crazy stuff.

771
00:41:59,040 --> 00:42:01,239
Speaker 1: So one of the things that they did, and I

772
00:42:01,280 --> 00:42:03,840
Speaker 1: don't know if you guys remember this story, remember the

773
00:42:03,880 --> 00:42:07,800
Speaker 1: story about how baby monitors could be turned into spying devices.

774
00:42:08,640 --> 00:42:11,719
Speaker 1: That was dark Matter. Okay, these guys were doing things

775
00:42:11,760 --> 00:42:16,000
Speaker 1: like that to spy on perceived enemies and adversaries of

776
00:42:16,080 --> 00:42:19,319
Speaker 1: the UAE. So that's Dark Matter, But they're far from

777
00:42:19,360 --> 00:42:22,360
Speaker 1: the only firm that's engaged in this type of nefarious activity.

778
00:42:22,440 --> 00:42:25,839
Speaker 1: In fact, the biggest, sort of most notorious one at

779
00:42:25,840 --> 00:42:28,799
Speaker 1: this point is this group called NSO that we told

780
00:42:28,840 --> 00:42:32,400
Speaker 1: you about before. It's an Israeli based firm. They're the

781
00:42:32,400 --> 00:42:37,200
Speaker 1: ones that develop this Pegasus spywar that can literally take

782
00:42:37,239 --> 00:42:40,440
Speaker 1: over your phone and without you even clicking on anything,

783
00:42:40,480 --> 00:42:42,000
Speaker 1: so you don't even have to get like a phishing

784
00:42:42,080 --> 00:42:44,000
Speaker 1: email or a weird text or whatever. They can just

785
00:42:44,000 --> 00:42:46,759
Speaker 1: take over your phone and get access to everything that

786
00:42:46,800 --> 00:42:49,800
Speaker 1: you have, everything you're doing there, including your encrypted apps.

787
00:42:50,239 --> 00:42:53,720
Speaker 1: And they're selling it to the Mexican government, they're selling

788
00:42:53,719 --> 00:42:56,120
Speaker 1: it to some of the Gulf states, all these actors

789
00:42:56,160 --> 00:42:57,880
Speaker 1: that claim, oh, we're just going to use it in

790
00:42:58,000 --> 00:43:01,200
Speaker 1: legitimate ways to combat crime, et cetera, et cetera. In fact,

791
00:43:01,320 --> 00:43:05,279
Speaker 1: they were using it to target journalist, to target activist,

792
00:43:05,719 --> 00:43:09,560
Speaker 1: to track in Saudi's instance, the people who were around

793
00:43:09,600 --> 00:43:14,680
Speaker 1: surrounding Jamal Koshogi, thousands of people and heads of state,

794
00:43:14,960 --> 00:43:18,799
Speaker 1: prime ministers, all of these people being tracked by this

795
00:43:18,840 --> 00:43:23,880
Speaker 1: Pegasus app. And so all American Israeli and other top

796
00:43:24,040 --> 00:43:29,239
Speaker 1: intelligence officers around the world being recruited into these incredibly

797
00:43:29,440 --> 00:43:33,120
Speaker 1: nefarious and oftentimes illegal lines of work. So this is

798
00:43:33,239 --> 00:43:36,680
Speaker 1: just a glimpse into one small instance of what was

799
00:43:36,719 --> 00:43:38,279
Speaker 1: going on here. Yeah, and what did we just talk

800
00:43:38,320 --> 00:43:40,480
Speaker 1: about with Larry Nasser. We have the FBI agent who

801
00:43:40,520 --> 00:43:42,879
Speaker 1: wants a job for the US Olympics Committee. Here's the thing.

802
00:43:42,960 --> 00:43:44,960
Speaker 1: We have a huge problem with these guys. You know,

803
00:43:45,000 --> 00:43:48,440
Speaker 1: when I lived in Qatar, I saw this stuff everywhere,

804
00:43:48,520 --> 00:43:51,320
Speaker 1: even whenever I was a teenager, because it's like the

805
00:43:51,400 --> 00:43:55,200
Speaker 1: Katari royal family would hire all of these like ex

806
00:43:55,280 --> 00:43:58,919
Speaker 1: British sas and Delta Force guys in order to protect them.

807
00:43:59,080 --> 00:44:03,840
Speaker 1: Their pilots were all former like Special Forces US military pilots.

808
00:44:04,120 --> 00:44:06,239
Speaker 1: That's just the protection side. And look, I have less

809
00:44:06,239 --> 00:44:08,200
Speaker 1: of a problem with that. But even then, but then

810
00:44:08,280 --> 00:44:11,160
Speaker 1: I would hear all these stories about guys out in

811
00:44:11,200 --> 00:44:14,880
Speaker 1: the middle of the about in the middle of forgetting

812
00:44:14,920 --> 00:44:18,400
Speaker 1: the geography for a second, but wherever the Somali pirates are.

813
00:44:18,440 --> 00:44:22,200
Speaker 1: They would have these floating mercenary ships right where in

814
00:44:22,239 --> 00:44:25,080
Speaker 1: the middle of in the middle of the ocean, because

815
00:44:25,120 --> 00:44:27,400
Speaker 1: that's where, like you know, certain laws don't apply and

816
00:44:27,440 --> 00:44:30,799
Speaker 1: they can use whatever firepower they want. It was total craziness.

817
00:44:30,840 --> 00:44:34,240
Speaker 1: And then more and more. The biggest worst kept secret

818
00:44:34,239 --> 00:44:36,880
Speaker 1: in Washington is how many of the richest people in

819
00:44:36,880 --> 00:44:40,080
Speaker 1: this city are on the take from the Kataris, from

820
00:44:40,080 --> 00:44:43,359
Speaker 1: the UAE. There are these like restaurants which you can't

821
00:44:43,360 --> 00:44:46,239
Speaker 1: even afford to walk into, and it's all fake. It's

822
00:44:46,239 --> 00:44:50,200
Speaker 1: a fugazi because it's all these expense accounts being dropped

823
00:44:50,200 --> 00:44:53,520
Speaker 1: by the Katari, the Emirandis. They all pay these pr people.

824
00:44:53,560 --> 00:44:56,839
Speaker 1: They have lawyers, they have these XCIA agents, and if

825
00:44:56,880 --> 00:45:00,239
Speaker 1: you screw with them, I guarantee you we're both under surveillance. Yeah,

826
00:45:00,280 --> 00:45:03,760
Speaker 1: I'm serious even covering this story. They will hack your phone,

827
00:45:03,920 --> 00:45:06,440
Speaker 1: your emails. They do it to each other. That's the

828
00:45:06,480 --> 00:45:12,239
Speaker 1: best part. A Katari ambassador, the Amiadis, their ambassadors emails

829
00:45:12,239 --> 00:45:15,319
Speaker 1: were all leaked, like to WikiLeaks or whatever's clearly by

830
00:45:15,320 --> 00:45:17,440
Speaker 1: the Qataris, and it was like the Qataris will go

831
00:45:17,520 --> 00:45:20,160
Speaker 1: and you know their stuff will get hacked, and so

832
00:45:20,200 --> 00:45:22,279
Speaker 1: they're all and all of it. The people who are

833
00:45:22,280 --> 00:45:25,000
Speaker 1: playing this game are hired guns who worked for us.

834
00:45:25,680 --> 00:45:28,279
Speaker 1: We trained. Some of these guys aren't just CIA, some

835
00:45:28,360 --> 00:45:31,239
Speaker 1: are NSA they work on some of the top like

836
00:45:31,400 --> 00:45:34,400
Speaker 1: hacking protocols. They can go out and sell that on

837
00:45:34,440 --> 00:45:39,759
Speaker 1: the private markets for millions of dollars, hundreds of thousands contracts.

838
00:45:39,920 --> 00:45:42,400
Speaker 1: Their skill set. I mean, this is supposed to be classified.

839
00:45:42,560 --> 00:45:44,719
Speaker 1: We have a massive problem with this all across the

840
00:45:44,760 --> 00:45:48,040
Speaker 1: world and the authoritarian regimes in the Gulf, because they

841
00:45:48,040 --> 00:45:50,840
Speaker 1: have all this money, they'll pay top dollar for you

842
00:45:50,920 --> 00:45:52,920
Speaker 1: to do all of this stuff, and they don't care

843
00:45:52,960 --> 00:45:55,600
Speaker 1: if it's against US citizens nothing, Nope, I mean to

844
00:45:55,719 --> 00:45:58,600
Speaker 1: further their monarchy. Think about that. That's what this is

845
00:45:58,640 --> 00:46:02,440
Speaker 1: all about. Lower your morals are in this town, the

846
00:46:02,440 --> 00:46:04,359
Speaker 1: more money you will. It makes so much money. I mean,

847
00:46:04,400 --> 00:46:08,439
Speaker 1: it really is a direct correlation. The richer you are here,

848
00:46:08,719 --> 00:46:10,560
Speaker 1: the worst shit you've been willing to do. I mean,

849
00:46:10,600 --> 00:46:12,839
Speaker 1: that's just that's what it is. I remember when we

850
00:46:12,840 --> 00:46:15,279
Speaker 1: were covering the Haitian by the way, there's all kinds

851
00:46:15,320 --> 00:46:18,800
Speaker 1: of new developments about who killed the Haitian president. Yeah,

852
00:46:19,040 --> 00:46:23,799
Speaker 1: now the new prime minister ends up it looks like

853
00:46:23,880 --> 00:46:26,680
Speaker 1: he was involved. That had just been a pointed Yeah,

854
00:46:26,719 --> 00:46:29,120
Speaker 1: I don't know. I think it's all regards to drug money.

855
00:46:29,160 --> 00:46:31,839
Speaker 1: It's regards to money, for sure. All of these things are.

856
00:46:32,120 --> 00:46:34,960
Speaker 1: But there were stories about how, you know, people were

857
00:46:35,000 --> 00:46:39,560
Speaker 1: showing up with this political vacuum that was created, throwing

858
00:46:39,760 --> 00:46:42,920
Speaker 1: lots of cash at lobbyists here to take their side

859
00:46:43,120 --> 00:46:45,440
Speaker 1: in the dispute so that they would be the chosen

860
00:46:45,480 --> 00:46:48,640
Speaker 1: one by the US government to lead the country next.

861
00:46:49,000 --> 00:46:51,759
Speaker 1: And so if you're and what these lobbyists are, like

862
00:46:51,880 --> 00:46:53,320
Speaker 1: some of them were willing to do it, some of

863
00:46:53,400 --> 00:46:55,840
Speaker 1: them weren't willing to do it. You have no idea

864
00:46:56,000 --> 00:46:59,799
Speaker 1: who might be implicated in this plot ultimately, like is

865
00:46:59,840 --> 00:47:02,640
Speaker 1: my client? Were they involved in murder? Were they involved

866
00:47:02,640 --> 00:47:04,480
Speaker 1: in a coup? I don't know how much are you

867
00:47:04,480 --> 00:47:06,279
Speaker 1: willing to pay me? That you know? And that'll tell

868
00:47:06,320 --> 00:47:08,040
Speaker 1: you whether I'm willing to forgive and forget or not.

869
00:47:08,719 --> 00:47:12,040
Speaker 1: The more you're willing to abandon any sort of principle

870
00:47:12,080 --> 00:47:16,000
Speaker 1: of moral patriotism, any of that loyalty, the more money

871
00:47:16,040 --> 00:47:18,759
Speaker 1: that you're ultimately gonna make. And so this is one

872
00:47:18,760 --> 00:47:24,800
Speaker 1: little window into this and this this hacking is incredibly troubling,

873
00:47:24,960 --> 00:47:27,160
Speaker 1: not just for a like they've betrayed the country thing,

874
00:47:27,239 --> 00:47:32,239
Speaker 1: but we're talking about they can gain access to anyone's phone.

875
00:47:32,440 --> 00:47:36,919
Speaker 1: Apple just released a new update to try to combat, yeah,

876
00:47:37,000 --> 00:47:39,399
Speaker 1: to try to fight back against Pegasus so that they

877
00:47:39,400 --> 00:47:42,040
Speaker 1: can't just take over your phone whenever they want. All

878
00:47:42,040 --> 00:47:44,399
Speaker 1: they need is your phone number in order to do that.

879
00:47:44,719 --> 00:47:46,879
Speaker 1: There's zero doubt though that they'll figure out a way

880
00:47:46,880 --> 00:47:49,480
Speaker 1: around this fix as well. It's always be one step

881
00:47:49,520 --> 00:47:52,560
Speaker 1: ahead of the you know, Apple or whoever, or Samsung

882
00:47:52,640 --> 00:47:55,160
Speaker 1: or whoever else coming up afterwards, trying to protect your

883
00:47:55,160 --> 00:47:57,520
Speaker 1: security ultimately. I mean, I think Apple's only one who

884
00:47:57,520 --> 00:48:00,600
Speaker 1: really particularly cares about your security at all anyway, as

885
00:48:00,640 --> 00:48:04,399
Speaker 1: imperfect as they are as well. But you know, when

886
00:48:04,400 --> 00:48:07,120
Speaker 1: you have a country that's based around money and where

887
00:48:07,160 --> 00:48:09,920
Speaker 1: your whole message is like if you're rich, then you're good,

888
00:48:10,040 --> 00:48:13,160
Speaker 1: and that sort of money and wealth and profit is

889
00:48:13,200 --> 00:48:15,600
Speaker 1: the end all be all, then people find it very

890
00:48:15,600 --> 00:48:18,320
Speaker 1: easy to abandon any sort of morality or compass that

891
00:48:18,360 --> 00:48:22,040
Speaker 1: they might have once had. So it's a pretty fascinating

892
00:48:22,120 --> 00:48:25,480
Speaker 1: look at how these things actually operate and what the

893
00:48:25,480 --> 00:48:28,480
Speaker 1: deep State goes on to do after they've quote unquote

894
00:48:28,520 --> 00:48:32,000
Speaker 1: served our country. There you go, all right, someone less serious?

895
00:48:32,239 --> 00:48:36,640
Speaker 1: Sorry here, there is no way to segue to this story,

896
00:48:37,560 --> 00:48:39,359
Speaker 1: so it I'll start a few days ago with Nicki

897
00:48:39,400 --> 00:48:44,120
Speaker 1: Minaj tweeting that her cousin in Trinidad won't get the

898
00:48:44,200 --> 00:48:47,600
Speaker 1: vaccine because his friend got it and became impotent, His

899
00:48:47,760 --> 00:48:51,520
Speaker 1: testicles became swollen. His friend was weeks away from getting married.

900
00:48:51,520 --> 00:48:53,839
Speaker 1: Now the girl called off the wedding. So just pray

901
00:48:53,920 --> 00:48:56,480
Speaker 1: on it and make sure you're comfortable with your decision,

902
00:48:56,719 --> 00:49:02,960
Speaker 1: not bullied. Yes, okay, So Nicki Minaj's cousin's friend allegedly

903
00:49:03,000 --> 00:49:06,239
Speaker 1: has swollen balls because of the vaccine. Now, obviously this

904
00:49:06,440 --> 00:49:09,120
Speaker 1: is ridiculous. Also, you were just telling me they don't

905
00:49:09,120 --> 00:49:11,479
Speaker 1: even use the same vaccines they used to change version.

906
00:49:11,600 --> 00:49:14,400
Speaker 1: This is actually an important corollary. They don't have Faiza

907
00:49:14,480 --> 00:49:17,640
Speaker 1: Maderna and Johnson and Johnson. They use Sino Farm. So

908
00:49:17,760 --> 00:49:20,000
Speaker 1: even if any of this is true, and it seems

909
00:49:20,000 --> 00:49:24,120
Speaker 1: pretty clear that mister Minaj's cousin's friend has been cheating

910
00:49:24,120 --> 00:49:28,480
Speaker 1: on his cousin, cousins, friends, fiances, she probably broke up

911
00:49:28,480 --> 00:49:32,759
Speaker 1: with him because yeah, this dude cheating on her. He

912
00:49:32,840 --> 00:49:35,200
Speaker 1: was definite spring around gets an std is like it

913
00:49:35,320 --> 00:49:38,799
Speaker 1: was totally the vaccine genius moved. She obviously didn't buy

914
00:49:38,840 --> 00:49:41,440
Speaker 1: it because she broke up with it. Okay, So let

915
00:49:41,440 --> 00:49:43,680
Speaker 1: me just say something about human nature, which I think

916
00:49:43,760 --> 00:49:46,680
Speaker 1: is relevant and a pretense potentially like deeper point here

917
00:49:46,719 --> 00:49:48,560
Speaker 1: before we get into even more of the silliness that

918
00:49:48,640 --> 00:49:52,800
Speaker 1: ultimately unfolded. People are very swayed. This is human nature.

919
00:49:52,840 --> 00:49:55,600
Speaker 1: People are very swayed by anecdotes. They're very swayed by

920
00:49:55,640 --> 00:49:59,400
Speaker 1: like what they've experienced in their life. And so you know,

921
00:49:59,600 --> 00:50:02,719
Speaker 1: I I think that it's important to realize, to try

922
00:50:02,719 --> 00:50:05,520
Speaker 1: to recognize that we all have this bias in favor

923
00:50:05,560 --> 00:50:09,920
Speaker 1: of our anecdotes. We knew someone who this happened to Airgo,

924
00:50:10,040 --> 00:50:13,200
Speaker 1: it must be true across the board. Of course, we

925
00:50:13,320 --> 00:50:16,719
Speaker 1: have our own personal anecdotes, right. I was around you

926
00:50:16,760 --> 00:50:18,680
Speaker 1: a lot when you were sick, and I didn't get sick,

927
00:50:18,719 --> 00:50:20,440
Speaker 1: and we both had the vaccine and we had no

928
00:50:20,480 --> 00:50:23,920
Speaker 1: side effects. So those are our anecdotes. But the best

929
00:50:23,920 --> 00:50:26,240
Speaker 1: thing to do is to look at the overall data

930
00:50:26,719 --> 00:50:29,960
Speaker 1: and to not listen so much to Nicki Minaj or

931
00:50:30,000 --> 00:50:34,640
Speaker 1: anyone else telling you about their cousins friends swollen balls. However,

932
00:50:34,840 --> 00:50:38,239
Speaker 1: let's take for a moment seriously the claim that a

933
00:50:38,320 --> 00:50:43,799
Speaker 1: vaccine side effect is swollen balls making you impotent. I

934
00:50:43,840 --> 00:50:47,480
Speaker 1: can't believe this actually happened. The Health Minister of Trinidad

935
00:50:47,480 --> 00:50:50,840
Speaker 1: and Tobago came out and gave a press conference the

936
00:50:51,480 --> 00:50:56,319
Speaker 1: whole investigation to find the swollen balls in question and

937
00:50:56,440 --> 00:50:58,319
Speaker 1: came up empty handed. Let's take a listen to what

938
00:50:58,360 --> 00:51:01,279
Speaker 1: he had to say. One of the reasons we could

939
00:51:01,280 --> 00:51:06,440
Speaker 1: not respond yesterday in real time to Miss Minage is

940
00:51:06,480 --> 00:51:10,239
Speaker 1: that we had to check and make show that what

941
00:51:10,280 --> 00:51:13,879
Speaker 1: she was claiming was either true or false. We did,

942
00:51:14,880 --> 00:51:18,640
Speaker 1: and unfortunately we wasted so much time yesterday running down

943
00:51:18,680 --> 00:51:23,239
Speaker 1: this false claim. It is, as far as we know

944
00:51:23,640 --> 00:51:28,040
Speaker 1: at this point in time, there has been no such

945
00:51:28,239 --> 00:51:33,600
Speaker 1: reported either side effect or adverse event. And what was

946
00:51:33,719 --> 00:51:39,400
Speaker 1: sad about this is that it wasted our time yesterday

947
00:51:41,200 --> 00:51:45,239
Speaker 1: trying to track down because we take all these claims seriously,

948
00:51:45,920 --> 00:51:50,960
Speaker 1: whether it's on social media or mainstream media. As we

949
00:51:51,000 --> 00:51:58,320
Speaker 1: stand now, there is absolutely no reported such side effect

950
00:51:59,040 --> 00:52:03,840
Speaker 1: or adverse event of testiculus in Trinidad or I D

951
00:52:04,080 --> 00:52:08,160
Speaker 1: see doctor Hayes anywhere else, None that we know of

952
00:52:08,360 --> 00:52:12,600
Speaker 1: anywhere else in the world. So there you have it, guys,

953
00:52:13,280 --> 00:52:16,520
Speaker 1: no swollen balls. Even if there were, they're using a

954
00:52:16,560 --> 00:52:19,400
Speaker 1: different vaccine. Okay, sure there isn't. Sino Farm, which you

955
00:52:19,400 --> 00:52:21,799
Speaker 1: shouldn't take because actually is not that effective. That's the

956
00:52:21,840 --> 00:52:26,439
Speaker 1: other thing. So Nicki Minaj's tweet and anecdote here profoundly

957
00:52:26,920 --> 00:52:30,120
Speaker 1: unhelpful and silly. But then it just devolves from here. Okay,

958
00:52:30,160 --> 00:52:34,480
Speaker 1: so then you got MSNBC like aggressively trashing her Joy

959
00:52:34,520 --> 00:52:36,719
Speaker 1: read leading the charge. I'm not going to read this

960
00:52:36,760 --> 00:52:39,360
Speaker 1: whole tweet from Nikki and the various slurs that she

961
00:52:39,480 --> 00:52:42,520
Speaker 1: threw out against Joy, and but I suffice it to

962
00:52:42,560 --> 00:52:45,319
Speaker 1: say she brings up the fact that, you know, Joy

963
00:52:45,360 --> 00:52:48,480
Speaker 1: had her old homophobic blog post that she claimed it

964
00:52:48,520 --> 00:52:51,759
Speaker 1: was hacked and you know, time traveling hackers went back,

965
00:52:51,760 --> 00:52:54,319
Speaker 1: et cetera, et cetera. Also, and this is interesting, Joy

966
00:52:54,360 --> 00:52:56,840
Speaker 1: had previously tweeted, which I didn't actually know, during the

967
00:52:56,880 --> 00:53:00,680
Speaker 1: Trump administration she said, will anyone, anyone it all, ever

968
00:53:00,760 --> 00:53:03,560
Speaker 1: fully trust the CDC again? And who on God's Earth

969
00:53:03,560 --> 00:53:06,200
Speaker 1: would trust a vaccine approved by the FDA? How do

970
00:53:06,239 --> 00:53:08,759
Speaker 1: we get a vaccine distributed after this? Broken? Trump is

971
00:53:08,880 --> 00:53:13,799
Speaker 1: nonsense has infected everything even if Biden wins, which look,

972
00:53:13,920 --> 00:53:16,759
Speaker 1: I think there is something to the idea that you

973
00:53:16,800 --> 00:53:19,960
Speaker 1: can't just expect all the trust to be healed and

974
00:53:20,000 --> 00:53:22,720
Speaker 1: everything to do whatever your reason for mistrusting the government.

975
00:53:22,760 --> 00:53:25,160
Speaker 1: Those things don't just instantly go away, so it's worth

976
00:53:25,200 --> 00:53:27,920
Speaker 1: having some compassion for people who are nervous, who are uncertain.

977
00:53:28,000 --> 00:53:30,919
Speaker 1: They are taking their time. Okay. So at the same

978
00:53:30,960 --> 00:53:34,680
Speaker 1: time that MSNBC is doing segments trashing Niki, of course

979
00:53:34,719 --> 00:53:39,000
Speaker 1: Fox News suddenly loves Nicki Minaj. She's amazing, She's a

980
00:53:39,080 --> 00:53:43,320
Speaker 1: hero for putting out her weird, wrong, swollen bulls balls tweet.

981
00:53:43,760 --> 00:53:46,520
Speaker 1: Tucker Carlson does all kinds of segments about I think

982
00:53:46,520 --> 00:53:49,240
Speaker 1: he has Candice Owens on to talk about it. Of course,

983
00:53:50,120 --> 00:53:53,680
Speaker 1: so Niki tweets out one of the Tucker segments and

984
00:53:53,760 --> 00:53:55,800
Speaker 1: just has like a bull's eye on it, basically saying

985
00:53:55,800 --> 00:53:58,600
Speaker 1: like he's totally right. And so because again we live

986
00:53:58,640 --> 00:54:01,240
Speaker 1: in like the worst of all times, of course someone

987
00:54:01,320 --> 00:54:03,520
Speaker 1: had to chime in, Oh, well, here's this as well.

988
00:54:03,560 --> 00:54:06,600
Speaker 1: The news media also pretended that the reason she didn't

989
00:54:06,600 --> 00:54:08,279
Speaker 1: want to want to go to the metal is because

990
00:54:08,280 --> 00:54:10,759
Speaker 1: they're vaccine require mode. In reality, she says it's because

991
00:54:10,760 --> 00:54:13,280
Speaker 1: she didn't want to travel because of her young child.

992
00:54:13,360 --> 00:54:16,080
Speaker 1: So she feels that they were really twisting that. Okay,

993
00:54:16,080 --> 00:54:17,960
Speaker 1: so we'll throw that one into the mix. Okay, So

994
00:54:18,000 --> 00:54:20,680
Speaker 1: then we get back to Tucker. She's saying he got

995
00:54:20,680 --> 00:54:23,560
Speaker 1: it right on this piece. Somebody had to weigh in

996
00:54:23,640 --> 00:54:26,240
Speaker 1: and be like, he's a white nationalist and that someone

997
00:54:26,320 --> 00:54:30,759
Speaker 1: happened to be his san piker, to which she replies that,

998
00:54:31,040 --> 00:54:35,120
Speaker 1: you know, basically, don't tell me that I can't even

999
00:54:35,160 --> 00:54:38,719
Speaker 1: associate with someone from a particular political party. Quote, people

1000
00:54:38,760 --> 00:54:41,239
Speaker 1: aren't human anymore. If you're black and a Democrat tells

1001
00:54:41,239 --> 00:54:43,799
Speaker 1: you to shove marbles up your ass, you simply have to.

1002
00:54:43,920 --> 00:54:46,320
Speaker 1: If another party tells you to look out for that bus,

1003
00:54:46,760 --> 00:54:49,520
Speaker 1: stand there and get hit. And then there's a whole

1004
00:54:49,560 --> 00:54:54,279
Speaker 1: back I know it started. I'm like coming full circle now.

1005
00:54:54,280 --> 00:54:56,239
Speaker 1: I'm like, well, you're kind of right about that part.

1006
00:54:57,440 --> 00:55:01,439
Speaker 1: And then there's another one more layer. I'll well, there's

1007
00:55:01,480 --> 00:55:04,000
Speaker 1: two more layers. I prows. We're almost to the end

1008
00:55:04,040 --> 00:55:06,080
Speaker 1: of the updates. The next layer is Nikki says, and

1009
00:55:06,120 --> 00:55:08,640
Speaker 1: I think we have this tweet that she's been invited

1010
00:55:08,640 --> 00:55:11,200
Speaker 1: to the White House. The White House has invited me,

1011
00:55:11,239 --> 00:55:13,319
Speaker 1: and I think it's a step in the right direction. Yes,

1012
00:55:13,360 --> 00:55:15,840
Speaker 1: I'm going I'll be dressed in I'll pig like legally blonde,

1013
00:55:15,840 --> 00:55:18,080
Speaker 1: so they know I mean business. I'll ask questions on

1014
00:55:18,120 --> 00:55:19,799
Speaker 1: behalf of the people who have been made fun of

1015
00:55:19,840 --> 00:55:24,279
Speaker 1: for simply being human hashtag Ballgate day three. Then the

1016
00:55:24,280 --> 00:55:27,719
Speaker 1: White House responds that actually they didn't invite her to come.

1017
00:55:28,000 --> 00:55:30,640
Speaker 1: They did offer her a phone call. Personally, I think

1018
00:55:30,680 --> 00:55:32,640
Speaker 1: it'd be a good idea if they did invite her.

1019
00:55:32,760 --> 00:55:35,879
Speaker 1: She could talk to doctors or do something on camera. Yeah,

1020
00:55:35,920 --> 00:55:40,000
Speaker 1: she's an influential person. One of the reluctant populations has

1021
00:55:40,040 --> 00:55:42,799
Speaker 1: been young black people. She might have some influence there,

1022
00:55:42,840 --> 00:55:44,239
Speaker 1: So I actually think it would be a good idea

1023
00:55:44,239 --> 00:55:46,400
Speaker 1: if they did invite her. And then the last piece

1024
00:55:46,560 --> 00:55:49,120
Speaker 1: I will lay on the plate for you is she

1025
00:55:49,280 --> 00:55:52,600
Speaker 1: says she's in quote Twitter jail. Don't know exactly what

1026
00:55:52,640 --> 00:55:55,680
Speaker 1: that means. Twitter says all these tweets, by the way,

1027
00:55:55,719 --> 00:55:57,920
Speaker 1: are still up there, which I think if a common

1028
00:55:57,960 --> 00:56:00,359
Speaker 1: person tweeted some of this stuff, I'm sure it would

1029
00:56:00,400 --> 00:56:03,560
Speaker 1: have remained intact. But all these tweets are still up there.

1030
00:56:03,560 --> 00:56:06,440
Speaker 1: But she says she's in Twitter jail. Twitter denies that

1031
00:56:06,440 --> 00:56:08,600
Speaker 1: there's anything going on with her account. And now I

1032
00:56:08,640 --> 00:56:11,320
Speaker 1: believe you are fully up to date on Nicki Minaj

1033
00:56:11,400 --> 00:56:13,040
Speaker 1: and the case of the swollen balls there you go.

1034
00:56:13,280 --> 00:56:15,839
Speaker 1: That's it. You heard it all here. Trinidad says it's

1035
00:56:15,840 --> 00:56:19,280
Speaker 1: not true. She tweeted out her thing. Now it becomes

1036
00:56:19,760 --> 00:56:23,560
Speaker 1: political controversy here. The problem is then the worst people

1037
00:56:23,600 --> 00:56:27,160
Speaker 1: in the on Earth turn against Niki. Somehow, I'm pro Nikki.

1038
00:56:27,400 --> 00:56:30,400
Speaker 1: Then the White House says, well, she's not really invited.

1039
00:56:30,600 --> 00:56:32,720
Speaker 1: We invited her for a phone call with the doctor.

1040
00:56:33,400 --> 00:56:35,680
Speaker 1: Like you said, I actually would support it. And now

1041
00:56:36,560 --> 00:56:39,640
Speaker 1: she says that she is off Twitter and she will

1042
00:56:39,640 --> 00:56:41,920
Speaker 1: never use the platform again. Whether that's true or not,

1043
00:56:42,160 --> 00:56:44,480
Speaker 1: we'll see if she does that, she'll be a happier person.

1044
00:56:44,640 --> 00:56:47,520
Speaker 1: And like you said, the Twitter spokesman says, Twitter did

1045
00:56:47,520 --> 00:56:50,000
Speaker 1: not take any enforcement action on this account, So who

1046
00:56:50,040 --> 00:56:52,040
Speaker 1: the hell knows what's going on, which is interesting in

1047
00:56:52,080 --> 00:56:53,680
Speaker 1: and of itself because again I think if it was

1048
00:56:53,719 --> 00:56:57,359
Speaker 1: a regular persona we just did that. The segment on

1049
00:56:57,440 --> 00:57:00,200
Speaker 1: Facebook and how they've been exposed now is how a

1050
00:57:00,239 --> 00:57:02,920
Speaker 1: two tier system of explicitly a two tier system of

1051
00:57:03,000 --> 00:57:05,760
Speaker 1: justice with their enforcement actions. It seems like maybe twitters

1052
00:57:06,680 --> 00:57:09,320
Speaker 1: doing a similar they call it whitelisting or it's a

1053
00:57:09,400 --> 00:57:12,200
Speaker 1: cross check program at Facebook, but seems like special treatment

1054
00:57:12,239 --> 00:57:14,280
Speaker 1: here as well. But yeah, I mean, it all starts

1055
00:57:14,320 --> 00:57:18,920
Speaker 1: with a really stupid and profoundly unhelpful anecdote, and then

1056
00:57:18,960 --> 00:57:23,040
Speaker 1: everybody gets into their all equally stupid parts in corners,

1057
00:57:23,520 --> 00:57:27,600
Speaker 1: and it's just ends up being embarrassing and showcasing the

1058
00:57:27,640 --> 00:57:32,720
Speaker 1: worst of Democratic Party hacks and Republican Party hacks all

1059
00:57:32,760 --> 00:57:34,840
Speaker 1: the way around. And so you sort of come full

1060
00:57:34,880 --> 00:57:37,440
Speaker 1: circle in the end to being like, well, she doesn't

1061
00:57:37,440 --> 00:57:41,080
Speaker 1: have a point about how stupid these partisan brain whewes

1062
00:57:41,240 --> 00:57:43,880
Speaker 1: ultimately are. Yeah, look, like I said, invited the White House.

1063
00:57:43,880 --> 00:57:45,959
Speaker 1: I think it's great. Yeah, talk to doctors, she should

1064
00:57:45,960 --> 00:57:48,240
Speaker 1: talk about it on the talk about it wherever. I

1065
00:57:48,240 --> 00:57:49,720
Speaker 1: think it's a good idea. Yeah, if she wants to

1066
00:57:49,720 --> 00:57:51,440
Speaker 1: go and talk her and talk about it, fine whatever.

1067
00:57:51,560 --> 00:57:53,760
Speaker 1: I think it's all generally a good thing, and that

1068
00:57:53,880 --> 00:57:57,160
Speaker 1: inserting our culture war bs into this is dumb. Like

1069
00:57:57,200 --> 00:58:00,960
Speaker 1: you said, the Trinidadian health minister says, it's maybe he's

1070
00:58:01,000 --> 00:58:03,760
Speaker 1: the doctor Faucia Trinidad. I don't know. Yeah, but I

1071
00:58:03,800 --> 00:58:06,760
Speaker 1: don't even use our Maxie. It's like the real point

1072
00:58:06,840 --> 00:58:10,040
Speaker 1: is they all use sinofon, which is not the same thing.

1073
00:58:10,200 --> 00:58:12,920
Speaker 1: So there we go. Wow, you guys must really like

1074
00:58:12,960 --> 00:58:14,880
Speaker 1: listening to our voices. Well, I know this is annoying.

1075
00:58:14,960 --> 00:58:17,560
Speaker 1: Instead of making you listen to a Viagra commercial. When

1076
00:58:17,600 --> 00:58:19,720
Speaker 1: you're done, check out the other podcast I do with

1077
00:58:19,760 --> 00:58:22,320
Speaker 1: Marshall COASTSOF called The Realignment. We talk a lot about

1078
00:58:22,360 --> 00:58:25,720
Speaker 1: the deeper issues that are changing realigning in American society.

1079
00:58:25,880 --> 00:58:28,160
Speaker 1: You always need more Crystal and Soagur in your daily lives.

1080
00:58:28,280 --> 00:58:30,800
Speaker 1: Take care, guys. All right, Crystal, what are you taking

1081
00:58:30,800 --> 00:58:33,120
Speaker 1: a look at? Well, dear reviewer, I hope you will

1082
00:58:33,120 --> 00:58:35,560
Speaker 1: forgive me, and I hope I can forgive myself because

1083
00:58:35,600 --> 00:58:38,560
Speaker 1: I've decided to present a hot take on AOC's met

1084
00:58:38,600 --> 00:58:41,000
Speaker 1: Gala dress. I just can't keep my mouth shut, even

1085
00:58:41,040 --> 00:58:44,520
Speaker 1: when it is thoroughly advisable. So here it is the good,

1086
00:58:44,720 --> 00:58:47,760
Speaker 1: the bad, and the ugly of AOCS tax the rich

1087
00:58:47,960 --> 00:58:50,720
Speaker 1: met Gala dress. So let's start with the ugly here,

1088
00:58:51,360 --> 00:58:55,400
Speaker 1: that dress was ugly. Let me take a nothing special

1089
00:58:55,520 --> 00:58:59,960
Speaker 1: nineties wedding dress. Stick some bright red letters across the backside. Honest,

1090
00:59:00,360 --> 00:59:03,360
Speaker 1: what woman wants to have bloodstained red across their ass

1091
00:59:03,360 --> 00:59:05,280
Speaker 1: on a white dress? I will spare you the details,

1092
00:59:05,280 --> 00:59:07,840
Speaker 1: but my mind instantly flashed back to some very traumatic

1093
00:59:07,880 --> 00:59:10,400
Speaker 1: time of the month moments in high school. You also

1094
00:59:10,440 --> 00:59:12,439
Speaker 1: brought up Sager. It looks very much like the Chick

1095
00:59:12,480 --> 00:59:16,480
Speaker 1: fil A Eat More Chicken situation. However, I will say

1096
00:59:16,520 --> 00:59:19,360
Speaker 1: AOC's dress was a million times better than whatever this

1097
00:59:19,600 --> 00:59:25,200
Speaker 1: monstrosity was. Commersoman Carolyn Maloney showed up in the ugliest

1098
00:59:25,280 --> 00:59:28,680
Speaker 1: dress I have ever seen in my entire life and

1099
00:59:28,800 --> 00:59:32,280
Speaker 1: support allegedly the Equal Rights Amendment, which of course failed

1100
00:59:32,360 --> 00:59:36,120
Speaker 1: seven years before AOC was even born. So while Carolyn's

1101
00:59:36,240 --> 00:59:39,480
Speaker 1: gaudy lace, gold, purple and green dress with a giant

1102
00:59:39,600 --> 00:59:43,080
Speaker 1: sash or cape or something was totally hideous, it was

1103
00:59:43,120 --> 00:59:47,280
Speaker 1: also completely politically irrelevant. So yeah, hobnod with the leads.

1104
00:59:47,400 --> 00:59:49,880
Speaker 1: You embarrassed yourself and you didn't even get a news

1105
00:59:49,880 --> 00:59:52,720
Speaker 1: cycle out of it. Well done. Here. On a rather

1106
00:59:52,800 --> 00:59:55,920
Speaker 1: more serious note, also ugly were the images of the

1107
00:59:55,960 --> 00:59:59,200
Speaker 1: servant class, masked up an anonymous and all black, catering

1108
00:59:59,240 --> 01:00:02,600
Speaker 1: to the political cultural elite, who mostly went without mass

1109
01:00:02,680 --> 01:00:05,400
Speaker 1: judging from the pictures, Glenn Greenweld and others rightly pointed

1110
01:00:05,400 --> 01:00:09,960
Speaker 1: this out. One group is intentionally invisible, vague, indistinct, intended

1111
01:00:10,000 --> 01:00:12,600
Speaker 1: to be unnoticed, servants to the people who actually matter.

1112
01:00:12,960 --> 01:00:17,280
Speaker 1: The other they're expressive, they're visible, they're photographed, they're memorialized.

1113
01:00:17,720 --> 01:00:19,880
Speaker 1: In fact, it's kind of a perfect metaphor for the

1114
01:00:19,920 --> 01:00:22,840
Speaker 1: classified in America, writ Large. First of all, it is

1115
01:00:22,880 --> 01:00:26,480
Speaker 1: now commonly the practice in places without indoor masking requirements

1116
01:00:26,920 --> 01:00:29,640
Speaker 1: that the shopping classes they can roam freely, they can

1117
01:00:29,680 --> 01:00:33,600
Speaker 1: make whatever pandemic protection choices suit them, while service workers

1118
01:00:33,600 --> 01:00:37,360
Speaker 1: are required to fully mask up for their very long shifts,

1119
01:00:37,800 --> 01:00:39,720
Speaker 1: not so much for their own safety but to make

1120
01:00:39,760 --> 01:00:42,480
Speaker 1: sure that the clients are comfortable. It all reminds me

1121
01:00:42,640 --> 01:00:45,160
Speaker 1: of an incredible scene from The White Lotus where hotel

1122
01:00:45,200 --> 01:00:48,760
Speaker 1: manager Armond instructs his new trainee on how to behave

1123
01:00:48,880 --> 01:00:50,960
Speaker 1: and how to treat their wealthy guests by being as

1124
01:00:51,200 --> 01:00:54,320
Speaker 1: generic as possible. He says, the goal is to create

1125
01:00:54,320 --> 01:00:57,120
Speaker 1: for the guests an overall impression of vegueness that can

1126
01:00:57,160 --> 01:01:00,080
Speaker 1: be very satisfying, where they get everything they want, but

1127
01:01:00,160 --> 01:01:02,040
Speaker 1: they don't even know what they want or what day

1128
01:01:02,040 --> 01:01:06,600
Speaker 1: it is. The goal is to disappear behind their masks

1129
01:01:06,800 --> 01:01:12,920
Speaker 1: as pleasant, interchangeable, helpless. It's tropical kabuki all right. On

1130
01:01:13,000 --> 01:01:14,640
Speaker 1: to the good and the bad of the dress itself.

1131
01:01:14,680 --> 01:01:18,120
Speaker 1: So there's two possibilities here. Possibility number one, AOC put

1132
01:01:18,120 --> 01:01:21,720
Speaker 1: on a performative display of righteousness cause playing class politics

1133
01:01:21,720 --> 01:01:24,560
Speaker 1: for a wealthy cultural elite who are all too comfortable

1134
01:01:24,600 --> 01:01:28,320
Speaker 1: with her and her toothless approach to politics. Possibility number two,

1135
01:01:28,760 --> 01:01:33,200
Speaker 1: AOC weaponized her access to elite circles, forced an uncomfortable

1136
01:01:33,200 --> 01:01:37,320
Speaker 1: message in their faces, and successfully sparked a national conversation

1137
01:01:37,400 --> 01:01:40,000
Speaker 1: on a live issue, which is of course being debated

1138
01:01:40,160 --> 01:01:43,520
Speaker 1: right this very second. So if it's option number one,

1139
01:01:43,680 --> 01:01:46,479
Speaker 1: it would be AOC at her absolute worst, a full

1140
01:01:46,520 --> 01:01:49,400
Speaker 1: embrace of the most biting critiques of her politics as

1141
01:01:49,480 --> 01:01:52,800
Speaker 1: totally establishment friendly with some more radical and pro working

1142
01:01:52,840 --> 01:01:56,640
Speaker 1: class rhetorical flourishes. Someone who's lost her way from the

1143
01:01:56,680 --> 01:01:59,000
Speaker 1: new member of Congress who sparked the wrath of Pelosi

1144
01:01:59,080 --> 01:02:02,840
Speaker 1: on day one by protesting with activists outside of her office,

1145
01:02:03,080 --> 01:02:06,520
Speaker 1: a former rogue who's been thoroughly tamed, doing a younger

1146
01:02:06,560 --> 01:02:09,840
Speaker 1: and cooler version of Carolyn Maloney's impotent calls for an

1147
01:02:10,120 --> 01:02:13,400
Speaker 1: er Now, if it's option number two, is actually AOC

1148
01:02:13,520 --> 01:02:17,000
Speaker 1: at her best. She's a backbench congresswoman, but she's young,

1149
01:02:17,160 --> 01:02:19,720
Speaker 1: and she's pretty, and she commands a social media army

1150
01:02:20,000 --> 01:02:21,960
Speaker 1: and Laura, does that woman know how to drive a

1151
01:02:22,000 --> 01:02:24,800
Speaker 1: news cycle when she wants to. In order to do so,

1152
01:02:24,840 --> 01:02:26,600
Speaker 1: you got to be controversial, You got to make some

1153
01:02:26,760 --> 01:02:30,800
Speaker 1: segment of the population totally lose their minds. Mission accomplished.

1154
01:02:31,080 --> 01:02:33,840
Speaker 1: She forced our feckless news media to talk about taxing

1155
01:02:33,880 --> 01:02:36,840
Speaker 1: the rich instead of getting us into new wars or

1156
01:02:36,880 --> 01:02:40,160
Speaker 1: whatever they're on to today. Not only that, but culture

1157
01:02:40,440 --> 01:02:44,280
Speaker 1: like It or Not is king. She transformed progressive taxation

1158
01:02:44,480 --> 01:02:47,760
Speaker 1: into a culture war topic that could be comfortably debated

1159
01:02:47,760 --> 01:02:50,480
Speaker 1: at the metaphorical water cooler. And that is no easy

1160
01:02:50,520 --> 01:02:53,000
Speaker 1: feet not. As we're saying here that the very reason

1161
01:02:53,080 --> 01:02:56,560
Speaker 1: AOC is invited into these spaces is because she hasn't

1162
01:02:56,640 --> 01:03:00,000
Speaker 1: been much of an establishment or elite threat in recent months.

1163
01:02:59,840 --> 01:03:03,520
Speaker 1: She's just edgy enough to be fashionable. They expect her

1164
01:03:03,520 --> 01:03:05,920
Speaker 1: to wear the dress, they don't actually expect her to

1165
01:03:05,960 --> 01:03:08,840
Speaker 1: do anything about it. Associating with AOC, it gives the

1166
01:03:08,840 --> 01:03:11,640
Speaker 1: cultural elite the feel goods of the activists, without requiring

1167
01:03:11,680 --> 01:03:14,560
Speaker 1: them to save view their anonymous mass servants as actual

1168
01:03:14,640 --> 01:03:18,520
Speaker 1: human beings, and without fear that anything will fundamentally change.

1169
01:03:18,600 --> 01:03:21,200
Speaker 1: And I might add there's certainly nothing threatening about the

1170
01:03:21,240 --> 01:03:25,080
Speaker 1: inaccessible college grad student language that AOC routinely leans into,

1171
01:03:25,400 --> 01:03:28,960
Speaker 1: which seems tailor made to persuade as few people as possible.

1172
01:03:29,280 --> 01:03:32,080
Speaker 1: So which is it? The unsatisfying truth for the moment

1173
01:03:32,320 --> 01:03:34,880
Speaker 1: is that we're about to find out AOC and other

1174
01:03:34,920 --> 01:03:38,440
Speaker 1: progressives they've promised to use their leverage to demand an

1175
01:03:38,480 --> 01:03:42,040
Speaker 1: actually good reconciliation bill that would include climate, healthcare, a

1176
01:03:42,120 --> 01:03:45,440
Speaker 1: lot more, and yes, taxes on the rich. Are they

1177
01:03:45,480 --> 01:03:48,360
Speaker 1: actually going to do it well? I haven't seen any

1178
01:03:48,360 --> 01:03:51,400
Speaker 1: pushback on the rather disappointing tax proposal that came out

1179
01:03:51,440 --> 01:03:54,640
Speaker 1: of the Houseways and Means Committee. That proposal was described

1180
01:03:54,640 --> 01:03:58,320
Speaker 1: by The New York Times as leaving vast fortunes unscathed,

1181
01:03:58,640 --> 01:04:01,120
Speaker 1: preferring as it does, to go after or income rather

1182
01:04:01,200 --> 01:04:04,040
Speaker 1: than wealth. The wealthy are already well versed in how

1183
01:04:04,040 --> 01:04:07,720
Speaker 1: to avoid the individual income tax rate. On the other hand,

1184
01:04:07,800 --> 01:04:10,040
Speaker 1: I have yet to see progressives more organized or more

1185
01:04:10,080 --> 01:04:13,000
Speaker 1: consistent than they have been this time around. They've actually

1186
01:04:13,000 --> 01:04:15,240
Speaker 1: done the work, they've secured a block, they're asserting their

1187
01:04:15,240 --> 01:04:18,320
Speaker 1: position consistently, and they deserve credit for that. It's a

1188
01:04:18,320 --> 01:04:20,120
Speaker 1: tactic that is made a lot easier though by the

1189
01:04:20,120 --> 01:04:23,880
Speaker 1: fact that today, Nancy Pelosi is on their side. There's

1190
01:04:23,880 --> 01:04:26,320
Speaker 1: a little doubt though, that at some point that temporary

1191
01:04:26,360 --> 01:04:29,800
Speaker 1: alliance of convenience is going to break down. And that

1192
01:04:30,040 --> 01:04:32,360
Speaker 1: is when we're really going to find out. When things

1193
01:04:32,360 --> 01:04:36,160
Speaker 1: get hot and Pelosi gets pissed, will AOC and her

1194
01:04:36,200 --> 01:04:40,720
Speaker 1: allies actually stand in the fire? Will they sacrifice next

1195
01:04:40,800 --> 01:04:43,800
Speaker 1: year's met Gala tickets and the other many perks of

1196
01:04:43,800 --> 01:04:46,920
Speaker 1: a lead access. In weeks, if not days, we will

1197
01:04:46,960 --> 01:04:50,320
Speaker 1: all know the answer and the true meaning of the dress.

1198
01:04:51,080 --> 01:04:53,320
Speaker 1: Sagara Ice Abrianna say that the dress was basically like

1199
01:04:53,360 --> 01:04:57,200
Speaker 1: a Rorschach test. If you've already one more thing, I promise.

1200
01:04:57,560 --> 01:04:59,680
Speaker 1: Just wanted to make sure you knew about my podcast

1201
01:04:59,760 --> 01:05:02,640
Speaker 1: with Kyle Kolinski. It's called Crystal, Kyle and Friends, where

1202
01:05:02,640 --> 01:05:05,400
Speaker 1: we do long form interviews with people like Noam Chomsky,

1203
01:05:05,520 --> 01:05:08,800
Speaker 1: Cornell West, and Glenn Greenwald. You can listen on any

1204
01:05:08,840 --> 01:05:12,240
Speaker 1: podcast platform, or you can subscribe over on substack to

1205
01:05:12,240 --> 01:05:14,600
Speaker 1: get the video a day early. We're gonna stop bugging

1206
01:05:14,600 --> 01:05:17,439
Speaker 1: you now. Enjoy all right, Sager, what are you looking

1207
01:05:17,440 --> 01:05:19,400
Speaker 1: at well? One of the problems that we have in

1208
01:05:19,400 --> 01:05:21,840
Speaker 1: this country right now is that the outrage machine is

1209
01:05:22,000 --> 01:05:25,600
Speaker 1: always turned up to eleven. Joe Biden ordered some ice cream.

1210
01:05:25,680 --> 01:05:29,200
Speaker 1: Oh my god. Fox News alert, he's in decline. Trump

1211
01:05:29,280 --> 01:05:32,560
Speaker 1: walks down the stairs a strange way for like two seconds.

1212
01:05:32,800 --> 01:05:36,520
Speaker 1: Oh lord, MSNBC alert, He's gonna die. There's a national

1213
01:05:36,600 --> 01:05:40,160
Speaker 1: health conspiracy. The problem with this media environment, other than

1214
01:05:40,200 --> 01:05:43,720
Speaker 1: it being incredibly dumb, is it obscures and conditions people

1215
01:05:43,960 --> 01:05:47,840
Speaker 1: so they have no idea what is important or not. That,

1216
01:05:48,040 --> 01:05:50,840
Speaker 1: in my opinion, is the true crime of cable news,

1217
01:05:51,040 --> 01:05:53,520
Speaker 1: as it has conditioned millions to just simply tune out

1218
01:05:53,560 --> 01:05:56,280
Speaker 1: and say, ugh, what is it this time? I preface

1219
01:05:56,320 --> 01:05:58,400
Speaker 1: with that because the store we're about to actually cover

1220
01:05:58,720 --> 01:06:02,440
Speaker 1: should inspire some out investigation, and the details of it

1221
01:06:02,520 --> 01:06:05,280
Speaker 1: just say so much about the Trump era mass media

1222
01:06:05,520 --> 01:06:07,920
Speaker 1: and worst of all, the people who are in charge

1223
01:06:07,960 --> 01:06:11,320
Speaker 1: of our decrepit institutions that left us behind a very

1224
01:06:11,400 --> 01:06:13,960
Speaker 1: long time ago. By now, I'm sure you're sure that

1225
01:06:14,000 --> 01:06:16,840
Speaker 1: you heard. In Bob Woodward's latest book, he reveals a

1226
01:06:16,880 --> 01:06:19,800
Speaker 1: stunning charge that General Mark Milly, the chairman of the

1227
01:06:19,840 --> 01:06:22,960
Speaker 1: Joint Chiefs of Staff in the days after January sixth,

1228
01:06:23,160 --> 01:06:26,640
Speaker 1: called his counterpart in China to assure him that Trump

1229
01:06:26,680 --> 01:06:30,480
Speaker 1: would not launch a surprise attack on that country. Not

1230
01:06:30,560 --> 01:06:33,640
Speaker 1: only that, Milly assured the Chinese general that if the

1231
01:06:33,720 --> 01:06:36,560
Speaker 1: United States were to attack China that it would not

1232
01:06:36,640 --> 01:06:40,280
Speaker 1: be a surprise that he would call him directly assuring

1233
01:06:40,360 --> 01:06:43,000
Speaker 1: him that there would be no attack. This, in addition

1234
01:06:43,080 --> 01:06:46,240
Speaker 1: to General Milly calling elements within the military tried to

1235
01:06:46,320 --> 01:06:49,240
Speaker 1: assert control in the last days of the Trump presidency

1236
01:06:49,560 --> 01:06:53,280
Speaker 1: over the nuclear codes. Now look, the partisan reactions to

1237
01:06:53,320 --> 01:06:56,960
Speaker 1: this are easy. Democrats say, yeah, well Trump was crazy,

1238
01:06:57,040 --> 01:06:59,600
Speaker 1: there was an insurrection, right, The general was just doing

1239
01:06:59,640 --> 01:07:02,840
Speaker 1: his job. Republicans are calling treason. Now let's take the

1240
01:07:02,880 --> 01:07:05,200
Speaker 1: partisan politics out of it for a moment and d

1241
01:07:05,280 --> 01:07:08,640
Speaker 1: be dispassionate. General Millie is the chairman of the Joint

1242
01:07:08,680 --> 01:07:12,800
Speaker 1: chiefs of Staff. By law, he has no operational authority whatsoever.

1243
01:07:13,080 --> 01:07:16,040
Speaker 1: His job is simple to advise the Commander in chief

1244
01:07:16,040 --> 01:07:19,160
Speaker 1: of military options and to coordinate those options to present

1245
01:07:19,200 --> 01:07:22,240
Speaker 1: to him from within the Pentagon. That's it, nothing else.

1246
01:07:22,480 --> 01:07:24,840
Speaker 1: So in effect, when he picked up that phone, if

1247
01:07:24,880 --> 01:07:27,280
Speaker 1: he wasn't acting on orders, at best, he was out

1248
01:07:27,320 --> 01:07:29,920
Speaker 1: of line middling, he was violating a Logan act, and

1249
01:07:30,000 --> 01:07:32,360
Speaker 1: at worst he did commit an act of treason. But

1250
01:07:32,400 --> 01:07:34,600
Speaker 1: that's not really What I want to delve into, what

1251
01:07:34,640 --> 01:07:37,160
Speaker 1: I want to emphasize, is this that the General is

1252
01:07:37,200 --> 01:07:40,000
Speaker 1: one of those people who, throughout the Trump administration, along

1253
01:07:40,040 --> 01:07:42,880
Speaker 1: with the media and more, were the ones who would

1254
01:07:42,920 --> 01:07:47,320
Speaker 1: not shut up about norms. Trump was an assault on norms.

1255
01:07:47,520 --> 01:07:51,560
Speaker 1: We have to adhere to norms. Norms are so important.

1256
01:07:51,920 --> 01:07:54,920
Speaker 1: And yet when the General himself steps outside of the

1257
01:07:55,000 --> 01:07:58,960
Speaker 1: chain of command to call his Chinese counterpart after January sixth,

1258
01:07:59,280 --> 01:08:02,160
Speaker 1: January sixth was sure, but it's not a license to

1259
01:08:02,200 --> 01:08:05,440
Speaker 1: throw out the constitution. If anything, the fact that the

1260
01:08:05,520 --> 01:08:10,200
Speaker 1: day ended in Biden's election certification is itself a constitutional victory.

1261
01:08:10,560 --> 01:08:13,360
Speaker 1: And yet from that day forward, the very people who

1262
01:08:13,440 --> 01:08:16,559
Speaker 1: believed so much in norms use it as an excuse

1263
01:08:16,760 --> 01:08:20,599
Speaker 1: to violate them. Norms only exist one way. When Trump

1264
01:08:20,720 --> 01:08:23,040
Speaker 1: stepped out of them, it was an outrage. But when

1265
01:08:23,080 --> 01:08:25,920
Speaker 1: the media and the establishment want to use January sixth

1266
01:08:26,000 --> 01:08:28,400
Speaker 1: as a pretext to declare a domestic war on terror,

1267
01:08:28,640 --> 01:08:31,160
Speaker 1: when they want to curtail civil liberties to a degree

1268
01:08:31,160 --> 01:08:34,360
Speaker 1: we haven't seen since nine to eleven. When unelected government

1269
01:08:34,360 --> 01:08:37,519
Speaker 1: officials break from their duties and begin violating the law,

1270
01:08:37,800 --> 01:08:40,040
Speaker 1: those are not violations of the norms. No, no, no no

1271
01:08:40,400 --> 01:08:43,680
Speaker 1: to them. They break norms to protect norms. That's the

1272
01:08:43,720 --> 01:08:46,479
Speaker 1: biggest problem I have with General Milly's actions. It's just

1273
01:08:46,520 --> 01:08:48,960
Speaker 1: the latest in a string of these examples, and I

1274
01:08:49,000 --> 01:08:51,000
Speaker 1: can't help but look at it in exactly the same

1275
01:08:51,120 --> 01:08:54,040
Speaker 1: vein of a story we covered earlier. George W. Bush,

1276
01:08:54,040 --> 01:08:56,799
Speaker 1: speaking at the memorial for the Flight ninety three victims

1277
01:08:56,840 --> 01:08:59,160
Speaker 1: on the twentieth anniversary of nine to eleven, take a

1278
01:08:59,200 --> 01:09:01,000
Speaker 1: listen to that. Want to make your blood boil, Just

1279
01:09:01,040 --> 01:09:04,320
Speaker 1: in case you missed it. As a nation, our adjustments

1280
01:09:04,320 --> 01:09:09,040
Speaker 1: have been profound. Many Americans struggled to understand why an

1281
01:09:09,160 --> 01:09:13,519
Speaker 1: enemy would hate us with such zeal. The security measures

1282
01:09:13,600 --> 01:09:18,760
Speaker 1: incorporated into our lives are both sources of comfort and

1283
01:09:18,880 --> 01:09:23,839
Speaker 1: reminders of our vulnerability, and we have seen growing evidence

1284
01:09:25,000 --> 01:09:27,479
Speaker 1: that the dangers to our country can come not only

1285
01:09:27,520 --> 01:09:33,720
Speaker 1: across borders, but from violence that gathers within. There is

1286
01:09:33,800 --> 01:09:38,200
Speaker 1: little cultural overlap between violent extremists abroad and violent extremists

1287
01:09:38,240 --> 01:09:44,000
Speaker 1: at home, But in their disdainful pluralism, in their disregard

1288
01:09:44,040 --> 01:09:49,200
Speaker 1: for human life, in their determination to defile national symbols,

1289
01:09:50,360 --> 01:09:54,320
Speaker 1: they are children of the same foul spirit, and it

1290
01:09:54,360 --> 01:09:57,920
Speaker 1: is our continuing duty to confront them. When it comes

1291
01:09:57,920 --> 01:10:02,120
Speaker 1: to the unity of America, those days seemed distant from

1292
01:10:02,120 --> 01:10:05,880
Speaker 1: our own. My line four seems at work in our

1293
01:10:05,920 --> 01:10:11,200
Speaker 1: common life that turns every disagreement into an argument, and

1294
01:10:11,280 --> 01:10:16,400
Speaker 1: every argument into a clash of cultures. So much of

1295
01:10:16,439 --> 01:10:19,479
Speaker 1: our politics has become a naked appeal to anger, fear,

1296
01:10:19,520 --> 01:10:24,600
Speaker 1: and resentment that leads us worried about our nation and

1297
01:10:24,680 --> 01:10:30,840
Speaker 1: our future together. I come without explanations or solutions. I

1298
01:10:30,880 --> 01:10:34,840
Speaker 1: can only tell you what I've seen. That speech was

1299
01:10:34,920 --> 01:10:38,400
Speaker 1: hailed by liberal commentators. Oh my god, George W. Bush

1300
01:10:38,520 --> 01:10:41,479
Speaker 1: sees the light January sixth. We're exactly the same as

1301
01:10:41,479 --> 01:10:43,760
Speaker 1: the terrorists who attacked us on nine to eleven. Or

1302
01:10:43,800 --> 01:10:47,400
Speaker 1: maybe maybe it's because of George W. Bush. The invasion

1303
01:10:47,400 --> 01:10:51,240
Speaker 1: of Iraq, the the screwing up of killing Osambid Lad

1304
01:10:51,280 --> 01:10:55,440
Speaker 1: and the opening of trade with China, cutting taxes, globalization,

1305
01:10:55,760 --> 01:10:58,800
Speaker 1: a general destruction of our blood and treasure that we

1306
01:10:58,880 --> 01:11:01,640
Speaker 1: got to the point in the first place. All of

1307
01:11:01,680 --> 01:11:05,280
Speaker 1: those that I listed were done under the auspices of norms,

1308
01:11:05,640 --> 01:11:08,639
Speaker 1: and that's the problem. The protectors of norms are those

1309
01:11:08,800 --> 01:11:11,759
Speaker 1: that architected a system in the first place that destroyed

1310
01:11:11,760 --> 01:11:14,800
Speaker 1: democratic trusts in all of our institutions, and it led

1311
01:11:14,920 --> 01:11:19,160
Speaker 1: to the election of Trump himself. The people responsible faced

1312
01:11:19,200 --> 01:11:22,040
Speaker 1: no repercussions from any of this, and I'm sure a

1313
01:11:22,040 --> 01:11:25,160
Speaker 1: few Senators will make noise, but let's be honest. Biden

1314
01:11:25,200 --> 01:11:27,640
Speaker 1: has already come out and said he has full confidence

1315
01:11:27,680 --> 01:11:30,439
Speaker 1: in Milly. The entire media will defend him as a

1316
01:11:30,479 --> 01:11:34,320
Speaker 1: brave warrior who stood up for democracy against the evil Trump.

1317
01:11:34,680 --> 01:11:36,559
Speaker 1: When you start to dig a little further into the

1318
01:11:36,560 --> 01:11:40,280
Speaker 1: Milli situation, it actually becomes even more comical. January sixth

1319
01:11:40,280 --> 01:11:42,880
Speaker 1: wasn't the only reason that Milly was upset. Right after

1320
01:11:42,880 --> 01:11:46,519
Speaker 1: Trump lost the election. Milly was alarmed because Trump signed

1321
01:11:46,520 --> 01:11:50,320
Speaker 1: in order to remove troops from Afghanistan by January fifteen.

1322
01:11:51,120 --> 01:11:53,320
Speaker 1: He was still the commander in chief. What did the

1323
01:11:53,360 --> 01:11:56,200
Speaker 1: general do? He defied it, he delayed it, and he

1324
01:11:56,240 --> 01:11:57,800
Speaker 1: waited so that he could try and work on the

1325
01:11:57,800 --> 01:12:00,920
Speaker 1: next president to stay forever. Thank god that didn't happen.

1326
01:12:01,320 --> 01:12:04,559
Speaker 1: Once again, that is a violation of norms in our system.

1327
01:12:04,640 --> 01:12:07,160
Speaker 1: The duly elected commander in chief gives an order and

1328
01:12:07,240 --> 01:12:11,000
Speaker 1: the military needs to comply. But here no way. Once again,

1329
01:12:11,160 --> 01:12:14,200
Speaker 1: it's fine, General Milly's allowed to violate norms in order

1330
01:12:14,280 --> 01:12:16,200
Speaker 1: to defend them. And if there's one thing that I

1331
01:12:16,200 --> 01:12:18,880
Speaker 1: hope you take away from this is this that what

1332
01:12:18,920 --> 01:12:21,519
Speaker 1: we really need in this country are some new norms

1333
01:12:21,680 --> 01:12:24,800
Speaker 1: because America is at its breaking point. Why else do

1334
01:12:24,840 --> 01:12:27,040
Speaker 1: you think they elected Donald Trump and then almost did

1335
01:12:27,040 --> 01:12:29,400
Speaker 1: it twice. The biggest problem that we had is that

1336
01:12:29,439 --> 01:12:31,640
Speaker 1: Trump was a buffoon, and he was more interested in

1337
01:12:31,640 --> 01:12:34,560
Speaker 1: giving a middle finger to norms than in actually creating

1338
01:12:34,840 --> 01:12:38,679
Speaker 1: new ones in a just world. George W. Bush is gone, forever,

1339
01:12:39,000 --> 01:12:42,040
Speaker 1: assigned to the dustbin of history. General Milly is fired,

1340
01:12:42,160 --> 01:12:44,160
Speaker 1: and we come up with some institutions and norms that

1341
01:12:44,240 --> 01:12:47,360
Speaker 1: actually have some democratic legitimacy in this country because until

1342
01:12:47,360 --> 01:12:51,080
Speaker 1: then we're doomed to another cycle of partisan outrage and hate.

1343
01:12:51,240 --> 01:12:52,640
Speaker 1: And that's really just how I choose to see a

1344
01:12:52,680 --> 01:12:55,439
Speaker 1: crystal instead of yeah, everybody's like, oh, trees and whatever. Yeah,

1345
01:12:55,479 --> 01:12:58,800
Speaker 1: maybe you know it's complicated, all right. So we've got

1346
01:12:58,800 --> 01:13:02,559
Speaker 1: the aforementioned David Dan, executive editor at of The American Prospect.

1347
01:13:02,560 --> 01:13:05,000
Speaker 1: Great to see you, David. See David, Yeah, good to

1348
01:13:05,000 --> 01:13:07,960
Speaker 1: see you. So you've been in the weeds over this

1349
01:13:08,240 --> 01:13:12,800
Speaker 1: Medicare prescription drug negotiating situation. With Democrats, and just to

1350
01:13:12,800 --> 01:13:14,479
Speaker 1: give people the context here, because I think this is

1351
01:13:14,479 --> 01:13:18,599
Speaker 1: really important. Democrats have been promising that they're going to

1352
01:13:18,920 --> 01:13:22,439
Speaker 1: make this very simple reform supported by like everyone in

1353
01:13:22,439 --> 01:13:26,599
Speaker 1: the entire country, where Medicare can negotiate with prescription drug

1354
01:13:26,600 --> 01:13:29,720
Speaker 1: companies so that they can get better prices. And now

1355
01:13:29,720 --> 01:13:32,560
Speaker 1: that it's coming down to it, there are a handful

1356
01:13:32,800 --> 01:13:36,000
Speaker 1: of frankly corporate Democrats who become flies in the ointment

1357
01:13:36,000 --> 01:13:41,000
Speaker 1: who are standing strongly against this incredibly popular, incredibly basic reform. David,

1358
01:13:41,080 --> 01:13:43,120
Speaker 1: just bring us up to speed of what exactly is

1359
01:13:43,160 --> 01:13:47,080
Speaker 1: going on here. Yeah, this has been part of the

1360
01:13:47,120 --> 01:13:52,560
Speaker 1: democratic agenda since the so called six for six fifteen

1361
01:13:52,640 --> 01:13:56,640
Speaker 1: years ago. This was one of the signature things that

1362
01:13:56,800 --> 01:13:59,400
Speaker 1: Democrats said they were going to do when they won

1363
01:13:59,479 --> 01:14:04,519
Speaker 1: the House two times ago. Right, so, and it was

1364
01:14:05,000 --> 01:14:08,400
Speaker 1: a feature of almost all campaign ads in twenty eighteen

1365
01:14:08,600 --> 01:14:13,320
Speaker 1: and twenty twenty. So. There are two committees that deal

1366
01:14:13,360 --> 01:14:16,880
Speaker 1: with this, the Energy and Commerce Committee and the Ways

1367
01:14:16,880 --> 01:14:19,800
Speaker 1: and Means Committee. The Ways It Means Committee actually passed

1368
01:14:19,920 --> 01:14:25,440
Speaker 1: their version of this reform, which allows Medicare to negotiate

1369
01:14:25,479 --> 01:14:29,080
Speaker 1: the price of a certain group of drugs, high cost

1370
01:14:29,200 --> 01:14:34,040
Speaker 1: drugs with drug companies, and that not only Medicare patients

1371
01:14:34,040 --> 01:14:35,720
Speaker 1: get the benefit of that, but all of us do

1372
01:14:35,840 --> 01:14:39,439
Speaker 1: because commercial insurance will be allowed to access those rates.

1373
01:14:40,479 --> 01:14:45,040
Speaker 1: In the Energy and Commerce Committee, three House Democrats, Scott

1374
01:14:45,080 --> 01:14:49,639
Speaker 1: Peters from the San Diego area, Kurt Schrader from Oregon,

1375
01:14:50,160 --> 01:14:54,320
Speaker 1: and Kathleen Rice from a Long Island decided they're not

1376
01:14:54,400 --> 01:14:58,800
Speaker 1: going to agree to this bill. They rejected it. They

1377
01:14:58,840 --> 01:15:02,599
Speaker 1: put forward their own version, which has a clever twist.

1378
01:15:02,640 --> 01:15:07,599
Speaker 1: It also negotiates price on Medicare, but only for drugs

1379
01:15:07,600 --> 01:15:10,840
Speaker 1: that are off patent. In other words, it preserves the

1380
01:15:10,880 --> 01:15:16,240
Speaker 1: patent monopoly, which allows drug companies without any competition, to

1381
01:15:16,360 --> 01:15:22,519
Speaker 1: charge whatever they want prescription drugs. And so you have

1382
01:15:22,720 --> 01:15:24,760
Speaker 1: this standoff, and it wasn't able to get out of

1383
01:15:24,840 --> 01:15:28,240
Speaker 1: the Energy and Commerce Committee. Now the House can put

1384
01:15:28,240 --> 01:15:31,160
Speaker 1: this into their final version of the bill in the

1385
01:15:31,160 --> 01:15:36,120
Speaker 1: Budget Committee. However, these three Democrats are making a stand

1386
01:15:36,160 --> 01:15:39,639
Speaker 1: saying we're not going to support a bill that has

1387
01:15:39,720 --> 01:15:43,479
Speaker 1: that in there. And of course Pelosi doesn't have more

1388
01:15:43,560 --> 01:15:47,760
Speaker 1: than three votes to spare because of the nature of

1389
01:15:47,800 --> 01:15:52,680
Speaker 1: the majority. So it's a really difficult situation. And you

1390
01:15:52,800 --> 01:15:59,040
Speaker 1: have this reform that is more popular than probably any

1391
01:15:58,720 --> 01:16:04,360
Speaker 1: in this bill. Over ninety percent of the public supports

1392
01:16:05,560 --> 01:16:10,599
Speaker 1: negotiating prescription drug prices through Medicare, And as I said,

1393
01:16:11,120 --> 01:16:15,800
Speaker 1: they've been promising this for a decade plus and it's

1394
01:16:15,880 --> 01:16:18,200
Speaker 1: now at real threat for not being in the bill,

1395
01:16:18,240 --> 01:16:22,040
Speaker 1: and that threatens the whole bill because this not only

1396
01:16:22,080 --> 01:16:26,400
Speaker 1: would save patients money, it would save taxpayers. It would

1397
01:16:26,400 --> 01:16:30,439
Speaker 1: save the government money, and that money was earmarked to

1398
01:16:30,520 --> 01:16:34,559
Speaker 1: go into spending in the bill, particularly for the health

1399
01:16:34,600 --> 01:16:40,160
Speaker 1: portions like extending Medicare to cover dental, hearing and vision

1400
01:16:40,680 --> 01:16:45,040
Speaker 1: and exchange subsidies in the Affordable Care Act, helping people

1401
01:16:45,080 --> 01:16:49,360
Speaker 1: who would qualify for Medicare if their states expanded it,

1402
01:16:49,720 --> 01:16:53,599
Speaker 1: things like that. So this really threatens the whole bill.

1403
01:16:54,600 --> 01:16:58,679
Speaker 1: It's important to recognize that it threatens the whole Biden agenda. David,

1404
01:16:58,920 --> 01:17:02,040
Speaker 1: what is their ration now on blocking this? Is there

1405
01:17:02,080 --> 01:17:07,719
Speaker 1: any rationale whatsoever? Like justification? What do they say? Money?

1406
01:17:07,720 --> 01:17:13,720
Speaker 1: Money money? Right? Scott Peters has thousands and thousands of

1407
01:17:15,520 --> 01:17:19,640
Speaker 1: health prescription drug company workers in his district. There's a

1408
01:17:19,640 --> 01:17:22,880
Speaker 1: lot of life sciences in there. Kurch Raider opposes the

1409
01:17:22,880 --> 01:17:27,280
Speaker 1: bill altogether, and Kathleen Rice, it's very curious because While

1410
01:17:27,360 --> 01:17:31,679
Speaker 1: Schrader and Peters have received hundreds of thousands of dollars

1411
01:17:31,720 --> 01:17:35,640
Speaker 1: from packs from pharmaceutical companies, Rice really hasn't, So I

1412
01:17:35,640 --> 01:17:38,240
Speaker 1: don't know if this is just a principled position for

1413
01:17:38,280 --> 01:17:42,200
Speaker 1: her that people should pay more for prescription drugs. But

1414
01:17:43,520 --> 01:17:48,839
Speaker 1: their nominal point they make is well, this would stifle innovation.

1415
01:17:49,200 --> 01:17:52,840
Speaker 1: That's kind of the go to industry talking point that

1416
01:17:52,880 --> 01:17:56,800
Speaker 1: if you make the price of scription drugs cheaper, then

1417
01:17:56,840 --> 01:17:58,800
Speaker 1: we won't be able to afford R and D and

1418
01:17:58,840 --> 01:18:03,200
Speaker 1: we won't make new drugs. This is ridiculous. The marketing

1419
01:18:03,240 --> 01:18:08,280
Speaker 1: budgets of prescription drug companies are larger than their R

1420
01:18:08,280 --> 01:18:11,360
Speaker 1: and D budgets. They spend more on stock buybacks than

1421
01:18:11,400 --> 01:18:15,080
Speaker 1: they do on research and development, and the primary research

1422
01:18:15,120 --> 01:18:18,400
Speaker 1: and development arm for drug therapies in the United States

1423
01:18:18,920 --> 01:18:23,240
Speaker 1: is the federal government through the NIH and through academic

1424
01:18:23,280 --> 01:18:27,600
Speaker 1: research grants. So this is a ridiculous talking point, but

1425
01:18:27,720 --> 01:18:31,320
Speaker 1: it's still the go to for fans of the pharmaceutical

1426
01:18:31,360 --> 01:18:35,160
Speaker 1: industry who have a huge campaign contribution arm and a

1427
01:18:35,240 --> 01:18:38,840
Speaker 1: huge lobbying arm. Every new drug molecule invented over the

1428
01:18:38,880 --> 01:18:42,519
Speaker 1: past ten years was publicly funded. None of them came

1429
01:18:43,000 --> 01:18:45,519
Speaker 1: from the drug companies, and they're vaunted R and D.

1430
01:18:45,960 --> 01:18:47,840
Speaker 1: They use their R and D to do things like

1431
01:18:47,840 --> 01:18:49,759
Speaker 1: we're going to come up with a slightly different formulation

1432
01:18:49,840 --> 01:18:53,080
Speaker 1: of viagra or whatever. Their main cash cows are not

1433
01:18:53,320 --> 01:18:57,120
Speaker 1: really these supposed life saving innovative drugs that they're supposed

1434
01:18:57,160 --> 01:18:59,519
Speaker 1: to be betting big on. That's not really what they're

1435
01:18:59,560 --> 01:19:01,400
Speaker 1: doing with that R and D money. So it's always

1436
01:19:01,400 --> 01:19:04,479
Speaker 1: important to explain to people what's actually going on there.

1437
01:19:04,520 --> 01:19:08,640
Speaker 1: With that talking point, you also observed a really interesting

1438
01:19:09,080 --> 01:19:13,120
Speaker 1: sort of behind the scenes dynamic of how Kathleen Rice,

1439
01:19:13,439 --> 01:19:15,360
Speaker 1: but you point out is now one of the major

1440
01:19:15,560 --> 01:19:18,680
Speaker 1: issues in terms of getting this basic reform done, how

1441
01:19:18,720 --> 01:19:22,519
Speaker 1: she even ended up on this relevant committee. Just break

1442
01:19:22,560 --> 01:19:26,519
Speaker 1: that all down for people. Right at the end of

1443
01:19:26,720 --> 01:19:32,080
Speaker 1: twenty twenty, committee assignments are doled out, and AOC actually

1444
01:19:32,200 --> 01:19:35,200
Speaker 1: really wanted to be on the Energy and Commerce Committee.

1445
01:19:35,200 --> 01:19:38,679
Speaker 1: This is where climate change legislations debated, it's where healthcare

1446
01:19:38,800 --> 01:19:42,599
Speaker 1: legislation is debated, and she got the support of Gerald Nadler,

1447
01:19:42,600 --> 01:19:45,720
Speaker 1: who is the head of the New York delegation. There

1448
01:19:45,760 --> 01:19:48,599
Speaker 1: was an open spot because Elliott Engel lost and he

1449
01:19:48,680 --> 01:19:51,559
Speaker 1: was a senior member of Energy and Commerce. So there

1450
01:19:51,600 --> 01:19:54,360
Speaker 1: was going to be another New Yorker put on his committee,

1451
01:19:54,760 --> 01:19:57,680
Speaker 1: and AOC went out for it and looked like she

1452
01:19:57,760 --> 01:20:01,120
Speaker 1: had the support, and then at the last minute, Kathleen

1453
01:20:01,200 --> 01:20:04,720
Speaker 1: Rice made this play to get onto the committee, and

1454
01:20:05,040 --> 01:20:08,680
Speaker 1: establishment Democrats voted her in by a wide margin. In

1455
01:20:08,800 --> 01:20:11,599
Speaker 1: the Steering Committee, which is this committee that Nancy Pelosi

1456
01:20:11,640 --> 01:20:17,519
Speaker 1: controls to dole out committee assignments. The Democrats have a

1457
01:20:17,600 --> 01:20:21,120
Speaker 1: three vote majority on the Energy and Commerce Committee. If

1458
01:20:21,160 --> 01:20:24,439
Speaker 1: AOC was on that committee instead of Kathleen Rice, this

1459
01:20:24,479 --> 01:20:28,600
Speaker 1: would have passed out of committee. However, because there was

1460
01:20:28,720 --> 01:20:31,280
Speaker 1: and it seemed like it was almost a political payback

1461
01:20:31,320 --> 01:20:36,800
Speaker 1: because AOC supported primaries against incumbents, so because they were

1462
01:20:36,880 --> 01:20:41,599
Speaker 1: mythed about that, they put Now Kathleen Rice on this committee.

1463
01:20:41,680 --> 01:20:46,639
Speaker 1: She votes against the key piece of their agenda, and

1464
01:20:47,160 --> 01:20:52,720
Speaker 1: this could force far more incumbents to lose in the

1465
01:20:52,760 --> 01:20:57,320
Speaker 1: twenty twenty two midterms then AOC would ever have the

1466
01:20:57,400 --> 01:21:04,960
Speaker 1: wherewithal to do. This is another example of establishment Democrats

1467
01:21:05,000 --> 01:21:07,120
Speaker 1: cutting off their nose despite their helf well, and it's

1468
01:21:07,160 --> 01:21:08,640
Speaker 1: not the only as you point out, it's not the

1469
01:21:08,680 --> 01:21:10,400
Speaker 1: only example of that. I mean, some of the people

1470
01:21:10,439 --> 01:21:13,120
Speaker 1: have been real issues here. People are like Henry Quaar,

1471
01:21:13,280 --> 01:21:16,519
Speaker 1: who the establishment also threw all in behind him. In

1472
01:21:16,520 --> 01:21:20,280
Speaker 1: his primary, he narrowly wins over a Justice Democrat who's

1473
01:21:20,320 --> 01:21:22,400
Speaker 1: more progressive on the issues, and now he turns around

1474
01:21:22,479 --> 01:21:26,639
Speaker 1: his issue for Pelosi. It's also really interesting what gets

1475
01:21:26,680 --> 01:21:32,000
Speaker 1: punished and what gets overlooked, because Kathleen Rice was very

1476
01:21:32,120 --> 01:21:37,360
Speaker 1: visible and very vocal about voting against Pelosi herself for

1477
01:21:37,439 --> 01:21:41,559
Speaker 1: Speaker of the House a while back. But for some reason,

1478
01:21:41,680 --> 01:21:44,759
Speaker 1: if you attack from the right, it's forgive and forget.

1479
01:21:45,200 --> 01:21:48,040
Speaker 1: But if you attack from the left, then there's hell

1480
01:21:48,120 --> 01:21:49,880
Speaker 1: to pay and hell no, are you going to get

1481
01:21:49,880 --> 01:21:51,640
Speaker 1: on that committee that you want. I mean, it's just

1482
01:21:51,680 --> 01:21:54,360
Speaker 1: it's very revealing here, and as you point out, ultimately,

1483
01:21:54,400 --> 01:21:57,439
Speaker 1: now with Pelosi wanting to get this agenda through, it's

1484
01:21:57,479 --> 01:21:59,640
Speaker 1: becoming a real issue for her some of these right

1485
01:21:59,680 --> 01:22:04,200
Speaker 1: wing Democrats that she's propped up and supported. And you'd

1486
01:22:04,240 --> 01:22:08,000
Speaker 1: like to think that Pelosi or the House leadership would

1487
01:22:08,080 --> 01:22:14,160
Speaker 1: learn from this issue and realize that people mean what

1488
01:22:14,200 --> 01:22:17,839
Speaker 1: they say that when they're coming for your leadership, they

1489
01:22:17,880 --> 01:22:21,439
Speaker 1: could be a problem down the road. But I don't

1490
01:22:21,439 --> 01:22:27,280
Speaker 1: suspect that they will. I suspect that the establishment views

1491
01:22:28,120 --> 01:22:33,960
Speaker 1: going after other Democrats who aren't good on leadership issues

1492
01:22:34,280 --> 01:22:38,240
Speaker 1: as a bigger threat than going after leadership itself and

1493
01:22:38,320 --> 01:22:41,920
Speaker 1: actually trying to vote down these important agenda items. This

1494
01:22:43,240 --> 01:22:45,360
Speaker 1: it should be a teachable moment, but I don't think

1495
01:22:45,360 --> 01:22:46,760
Speaker 1: it will do it. And so, David, what do you

1496
01:22:46,760 --> 01:22:48,960
Speaker 1: think happens here? Do you think this actually gets through?

1497
01:22:48,960 --> 01:22:51,840
Speaker 1: Because I mean, it really is pure insanity. If you

1498
01:22:51,840 --> 01:22:54,120
Speaker 1: can't trust the Democrats to get this thing through that

1499
01:22:54,160 --> 01:22:57,200
Speaker 1: they've been promising for decades that polls at ninety percent,

1500
01:22:57,560 --> 01:23:01,479
Speaker 1: what can you trust them for? Ultimately? Well, the thing is,

1501
01:23:01,560 --> 01:23:04,280
Speaker 1: there was going to already be a fight between the

1502
01:23:04,280 --> 01:23:07,760
Speaker 1: House and the Senate over this, over technical aspects. They

1503
01:23:07,760 --> 01:23:10,559
Speaker 1: were both going to use Medicare to negotiate the price.

1504
01:23:10,800 --> 01:23:13,439
Speaker 1: But it might be fewer drugs, it might be a

1505
01:23:13,560 --> 01:23:18,680
Speaker 1: different reference price that's more accommodating to drug companies. There

1506
01:23:18,760 --> 01:23:21,960
Speaker 1: was already going to be this fight, and now the

1507
01:23:22,040 --> 01:23:25,519
Speaker 1: Senate is really emboldened, right because the House can't even

1508
01:23:25,560 --> 01:23:31,479
Speaker 1: get their entire team on board. So you could see

1509
01:23:31,479 --> 01:23:36,080
Speaker 1: the Senate version of this prevail, which saves a lot

1510
01:23:36,160 --> 01:23:40,040
Speaker 1: less money and makes a lot less money available for

1511
01:23:40,120 --> 01:23:43,840
Speaker 1: the overall bill. Maybe at that point some of those

1512
01:23:44,320 --> 01:23:46,680
Speaker 1: House Democrats will say, Okay, well we got half of

1513
01:23:46,720 --> 01:23:49,479
Speaker 1: what we wanted. You know, there's still a lot of

1514
01:23:49,520 --> 01:23:53,639
Speaker 1: momentum to get something done. But I keep saying there's

1515
01:23:53,640 --> 01:23:57,760
Speaker 1: a non zero chance that this doesn't go forward. And

1516
01:23:58,400 --> 01:24:01,280
Speaker 1: you know, we, along with the Daily Caller and the Intercept,

1517
01:24:01,320 --> 01:24:04,519
Speaker 1: did this whip count yesterday because you know, there are

1518
01:24:04,560 --> 01:24:08,280
Speaker 1: two bills right There's the reconciliation bill that we're talking about,

1519
01:24:08,479 --> 01:24:11,920
Speaker 1: and there's the infrastructure bill that already passed the Senate.

1520
01:24:12,520 --> 01:24:16,240
Speaker 1: And House Progresses want to keep those linked because they

1521
01:24:16,280 --> 01:24:19,360
Speaker 1: want to give moderates a reason to vote for the

1522
01:24:19,439 --> 01:24:22,599
Speaker 1: reconciliation bill, and they feel like if they vote the

1523
01:24:22,600 --> 01:24:25,800
Speaker 1: infrastructure bill in then they're just going to abandon the

1524
01:24:25,840 --> 01:24:32,719
Speaker 1: reconciliation bill. So there are seventeen Democrats, I'm sorry, sixteen

1525
01:24:32,800 --> 01:24:36,800
Speaker 1: because one of them. After publication, weaseled out sixteen Democrats

1526
01:24:37,120 --> 01:24:43,040
Speaker 1: who publicly agreed to vote against the infrastructure bill, which

1527
01:24:43,080 --> 01:24:45,880
Speaker 1: has to get a vote on September twenty seventh. As

1528
01:24:45,960 --> 01:24:48,840
Speaker 1: part of a deal that Josh Gottheimer made with Pelosi

1529
01:24:49,160 --> 01:24:53,599
Speaker 1: to get the rule through for the reconciliation process, they

1530
01:24:53,640 --> 01:24:56,280
Speaker 1: said they'd vote against the infrastructure bill if they don't

1531
01:24:56,280 --> 01:24:59,440
Speaker 1: have a good enough reconciliation bill. So there's a problem

1532
01:25:00,200 --> 01:25:03,360
Speaker 1: for the infrastructure bill from the left, there's a problem

1533
01:25:03,400 --> 01:25:06,479
Speaker 1: with the reconciliation bill from the right. I don't think

1534
01:25:06,520 --> 01:25:10,120
Speaker 1: there's a scenario where one or the other passes. It's

1535
01:25:10,160 --> 01:25:13,280
Speaker 1: either both or neither, and there's really a non trivial

1536
01:25:13,360 --> 01:25:15,679
Speaker 1: chances that's going to be neither at this point. Wow wow,

1537
01:25:15,840 --> 01:25:19,080
Speaker 1: Well thanks for the update, David. Really crazy, Like you said,

1538
01:25:19,160 --> 01:25:22,080
Speaker 1: it's pretty nuts that the largest purchaser of drugs is

1539
01:25:22,120 --> 01:25:24,479
Speaker 1: not allowed to negotiate the price. And it's the only

1540
01:25:24,600 --> 01:25:26,600
Speaker 1: people who are allowed to do I think only the

1541
01:25:26,960 --> 01:25:29,360
Speaker 1: ten percent who don't support this reform. They must all

1542
01:25:29,360 --> 01:25:33,600
Speaker 1: work for the farming. David, Thank you, Thank you so

1543
01:25:33,680 --> 01:25:36,559
Speaker 1: much for your help on this issue. Thanks David, all right,

1544
01:25:36,640 --> 01:25:39,799
Speaker 1: thanks a lot. Thank you guys so much for watching.

1545
01:25:39,800 --> 01:25:42,360
Speaker 1: We really appreciate it. And you know we've made this

1546
01:25:42,479 --> 01:25:45,320
Speaker 1: pledge yesterday. But here's the deal, like we cover Larry

1547
01:25:45,320 --> 01:25:49,519
Speaker 1: and Ask today, that's definitely going to get demonetized. Nicki

1548
01:25:49,600 --> 01:25:54,400
Speaker 1: Minaj has a chance to anytime. CIA the deep state stuff,

1549
01:25:54,400 --> 01:25:58,200
Speaker 1: we are one hun at the mercy of the YouTube

1550
01:25:58,240 --> 01:26:00,240
Speaker 1: whenever it comes to that, And that's why we have

1551
01:26:00,280 --> 01:26:03,040
Speaker 1: to rely on premium subscriptions. It's the only way that

1552
01:26:03,120 --> 01:26:05,439
Speaker 1: we know that we can cover exactly what we want

1553
01:26:05,640 --> 01:26:08,320
Speaker 1: and not have to rely on it whatsoever. All those

1554
01:26:08,360 --> 01:26:10,719
Speaker 1: nine to eleven segments that we did on the Saudi

1555
01:26:10,760 --> 01:26:13,400
Speaker 1: papers and all more, nothing like not a dime. And

1556
01:26:13,439 --> 01:26:16,000
Speaker 1: once again, it's fine. We have the business set up

1557
01:26:16,320 --> 01:26:18,960
Speaker 1: for that way. So that's why we appreciate all of

1558
01:26:18,960 --> 01:26:21,240
Speaker 1: your supports so much. When we wake up to plan

1559
01:26:21,600 --> 01:26:23,960
Speaker 1: the show, it does not enter our mind whatsoever we're

1560
01:26:23,960 --> 01:26:26,280
Speaker 1: gonna get make money on YouTube or not. This is

1561
01:26:26,320 --> 01:26:28,640
Speaker 1: the only way that we're able to do it. Yeah, No,

1562
01:26:28,760 --> 01:26:31,760
Speaker 1: that's exactly right, And I would I would be lying

1563
01:26:31,760 --> 01:26:34,160
Speaker 1: if I said that it didn't enter our mind when

1564
01:26:34,160 --> 01:26:36,160
Speaker 1: we were at the Hill, because even if it was, well,

1565
01:26:36,200 --> 01:26:37,920
Speaker 1: they made all their money, right, even if it wasn't

1566
01:26:38,040 --> 01:26:41,000
Speaker 1: us making that money, it was you know, is the

1567
01:26:41,000 --> 01:26:43,639
Speaker 1: show going to be sustainable? Are they going to cancel us?

1568
01:26:43,720 --> 01:26:47,160
Speaker 1: Et cetera if our segments are getting routinely demonetized. So

1569
01:26:47,760 --> 01:26:50,479
Speaker 1: now when we tell you we're grateful for you and

1570
01:26:50,520 --> 01:26:53,800
Speaker 1: we rely on you, we really really really mean it,

1571
01:26:54,040 --> 01:26:57,840
Speaker 1: because it doesn't even enter our consideration at all when

1572
01:26:57,840 --> 01:27:00,439
Speaker 1: we're planning a show, when we're planning our commentary, any

1573
01:27:00,479 --> 01:27:03,040
Speaker 1: of that, you guys make that possible, and we cannot

1574
01:27:03,400 --> 01:27:06,320
Speaker 1: possibly thank you enough for that exactly. We love you guys.

1575
01:27:06,560 --> 01:27:08,639
Speaker 1: We're gonna have some great content for you over the weekend.

1576
01:27:08,680 --> 01:27:11,120
Speaker 1: Check that out. We're doing the mini show we'll get

1577
01:27:11,120 --> 01:27:14,720
Speaker 1: posted on the podcast platforms, so check that on as well,

1578
01:27:14,760 --> 01:27:31,360
Speaker 1: and we will see you guys next week. Thanks for

1579
01:27:31,400 --> 01:27:33,400
Speaker 1: listening to the show, guys, we really appreciate it. To

1580
01:27:33,400 --> 01:27:35,559
Speaker 1: help other people find the show, go ahead and leave

1581
01:27:35,600 --> 01:27:38,599
Speaker 1: us a five star rating on Apple Podcasts or wherever

1582
01:27:38,640 --> 01:27:42,000
Speaker 1: you get your podcasts. Really helps other people find the show.

1583
01:27:42,320 --> 01:27:45,840
Speaker 1: As always special thank you to Supercast for powering our

1584
01:27:45,880 --> 01:27:48,400
Speaker 1: premium membership. If you want to find out more, go

1585
01:27:48,439 --> 01:27:50,439
Speaker 1: to Crystalansager dot com