1
00:00:02,360 --> 00:00:06,720
Speaker 1: Trump federalized DC. Let's talk about why that was necessary.

2
00:00:06,880 --> 00:00:09,040
Speaker 1: Our government people finally going to go to prison. The

3
00:00:09,080 --> 00:00:11,719
Speaker 1: director of the NIH is here. What a show for

4
00:00:11,800 --> 00:00:24,440
Speaker 1: you tonight. I'm right. Well, let's get the big news

5
00:00:24,480 --> 00:00:27,800
Speaker 1: out of the way first, shall we. Everybody's talking about

6
00:00:27,840 --> 00:00:31,240
Speaker 1: it right now. Why did Trump get up today have

7
00:00:31,320 --> 00:00:34,640
Speaker 1: this big press conference? Pam Bondi's there, Pete Hegseth behind him,

8
00:00:34,960 --> 00:00:37,040
Speaker 1: all the big shots in the room. He got up

9
00:00:37,040 --> 00:00:37,479
Speaker 1: and said this.

10
00:00:38,080 --> 00:00:43,280
Speaker 2: I'm announcing a historic action to rescue our nation's capital

11
00:00:43,320 --> 00:00:49,280
Speaker 2: from crime, bloodshed, bedlam, and squalor and worse. This is

12
00:00:49,440 --> 00:00:53,600
Speaker 2: Liberation Day in DC, and we're.

13
00:00:52,400 --> 00:00:53,960
Speaker 1: Going to take our capital back.

14
00:00:54,000 --> 00:00:57,960
Speaker 2: We're taking it back under the authorities vested in me

15
00:00:58,080 --> 00:01:01,160
Speaker 2: as the President of the United States. I'm officially invoking

16
00:01:01,240 --> 00:01:05,440
Speaker 2: Section seventy forty of the District of Columbia Home Rule Act.

17
00:01:05,520 --> 00:01:09,360
Speaker 2: You know what that is, and placing the DC Metropolitan

18
00:01:09,400 --> 00:01:13,960
Speaker 2: Police Department under direct federal control. And you'll be meeting

19
00:01:14,000 --> 00:01:19,280
Speaker 2: the people that will be directly involved with that. Very

20
00:01:19,280 --> 00:01:24,240
Speaker 2: good people, but they're tough and they know what's happening,

21
00:01:24,280 --> 00:01:28,000
Speaker 2: and they've done it before. In addition, I'm deploying the

22
00:01:28,080 --> 00:01:31,360
Speaker 2: National Guard to help re establish law order of public

23
00:01:31,400 --> 00:01:34,760
Speaker 2: safety in Washington, d C. And they're going to be

24
00:01:34,800 --> 00:01:36,280
Speaker 2: allowed to do their job properly.

25
00:01:38,319 --> 00:01:43,160
Speaker 1: Right Why we'll get to the communist motivations for it

26
00:01:43,240 --> 00:01:46,160
Speaker 1: and why they're upset. But one of the big reasons

27
00:01:46,240 --> 00:01:49,360
Speaker 1: why is well, i'll tell you what. Pause on pause

28
00:01:49,400 --> 00:01:53,160
Speaker 1: on that. Remember when we talked about job interviews before,

29
00:01:54,520 --> 00:01:57,640
Speaker 1: you and me, I've given you advice on job interviews,

30
00:01:57,680 --> 00:02:01,000
Speaker 1: and one of the main things, maybe the main thing,

31
00:02:02,000 --> 00:02:06,200
Speaker 1: show up looking nice, dressed up. It doesn't mean, it

32
00:02:06,200 --> 00:02:08,160
Speaker 1: doesn't mean you have to have a thousand dollars suit on.

33
00:02:08,240 --> 00:02:11,919
Speaker 1: But whatever your best clothes are, dress up. They'll cut

34
00:02:11,919 --> 00:02:15,119
Speaker 1: off shorts. No one wants to see your tattoos. Put

35
00:02:15,160 --> 00:02:18,000
Speaker 1: on some decent clothes and show up for your job interview.

36
00:02:18,600 --> 00:02:24,680
Speaker 1: Why first impressions matter a lot. Appearance matters a lot.

37
00:02:25,560 --> 00:02:28,280
Speaker 1: Did you know here's a little historical tidbit. You may

38
00:02:28,320 --> 00:02:30,840
Speaker 1: not know. Have you ever been to DC. Even if

39
00:02:30,840 --> 00:02:32,680
Speaker 1: you haven't, I know you've seen pictures of it. You

40
00:02:32,680 --> 00:02:36,000
Speaker 1: know what parts of it look like? Pretty fancy, right,

41
00:02:36,280 --> 00:02:40,160
Speaker 1: all that white marble pillars and these monuments here. Did

42
00:02:40,240 --> 00:02:43,000
Speaker 1: you know that was done intentionally by the founders of

43
00:02:43,040 --> 00:02:47,640
Speaker 1: this country. Why these were small government people. They didn't

44
00:02:47,639 --> 00:02:50,160
Speaker 1: want DC to be super powerful or anything like that.

45
00:02:50,200 --> 00:02:54,880
Speaker 1: They didn't want a kingdom. Why did they intentionally create

46
00:02:55,000 --> 00:03:01,160
Speaker 1: something that looked so good? Because they understood for indignitaries

47
00:03:01,560 --> 00:03:05,000
Speaker 1: would visit the United States of America, they would visit

48
00:03:05,120 --> 00:03:09,400
Speaker 1: our nation's capital, and what they saw when they got

49
00:03:09,440 --> 00:03:13,160
Speaker 1: there matters how you dress, when you show up for

50
00:03:13,200 --> 00:03:16,160
Speaker 1: a job interview, for a first date. It doesn't matter,

51
00:03:16,200 --> 00:03:18,639
Speaker 1: and anyone who tells you it doesn't is a moron.

52
00:03:19,320 --> 00:03:23,200
Speaker 1: It matters that Washington, d C. The capital of our nation,

53
00:03:24,280 --> 00:03:28,839
Speaker 1: is a dump, a dangerous dump. Murders through the roof,

54
00:03:29,040 --> 00:03:34,160
Speaker 1: higher crime rate than Mexico, freaking city, carjackings, break ins.

55
00:03:34,680 --> 00:03:38,000
Speaker 3: It is a total dump. I won't even take my

56
00:03:38,120 --> 00:03:41,680
Speaker 3: family there now. And look Trump, who's about I think

57
00:03:41,720 --> 00:03:45,040
Speaker 3: Friday he's going into negotiations with Vladimir Putin.

58
00:03:45,240 --> 00:03:46,680
Speaker 1: He brought up this exact thing.

59
00:03:47,480 --> 00:03:49,520
Speaker 2: And it's embarrassing for me to be up here. You know,

60
00:03:49,560 --> 00:03:50,520
Speaker 2: I'm gonna see Putin.

61
00:03:50,600 --> 00:03:53,119
Speaker 1: I'm going to Russia on Friday.

62
00:03:53,600 --> 00:03:56,160
Speaker 2: I don't like being up here talking about how unsafe

63
00:03:56,160 --> 00:04:01,640
Speaker 2: and how dirty and disgusting this once beautif capital wives.

64
00:04:03,560 --> 00:04:07,200
Speaker 1: Impressions matter. I'll tell you something. You know, I want

65
00:04:07,200 --> 00:04:10,080
Speaker 1: to go to Turkey one day and stay with me.

66
00:04:10,720 --> 00:04:13,040
Speaker 1: You know why I want to go to Turkey because

67
00:04:13,120 --> 00:04:17,000
Speaker 1: coming back, just flying through or just flying through, we

68
00:04:17,040 --> 00:04:21,640
Speaker 1: had a layover in Istanbul both ways, a layover in Istanbul.

69
00:04:22,600 --> 00:04:27,240
Speaker 1: The airport was unbelievable. It was huge, it was nice,

70
00:04:27,839 --> 00:04:31,400
Speaker 1: great food. All the employees were dressed to the nines,

71
00:04:31,680 --> 00:04:37,400
Speaker 1: very pleasant. And that impression of Istanbul of Turkey, maybe

72
00:04:37,400 --> 00:04:39,960
Speaker 1: we want to go back and visit one day. Impressions matter.

73
00:04:40,680 --> 00:04:43,760
Speaker 1: It matters that Washington, d C. And let me expand

74
00:04:43,760 --> 00:04:47,960
Speaker 1: this a little bit more. It matters that America's cities,

75
00:04:48,120 --> 00:04:53,120
Speaker 1: our biggest cities, are dumps. It matters that the murder

76
00:04:53,160 --> 00:04:55,040
Speaker 1: is high, that there are homeless.

77
00:04:54,640 --> 00:04:58,320
Speaker 3: People everywhere, that people run them up. It does matter.

78
00:04:58,640 --> 00:05:02,119
Speaker 1: And maybe you're sitting there in rural America right now

79
00:05:02,160 --> 00:05:05,159
Speaker 1: as I am, and you're saying to yourself, I don't

80
00:05:05,160 --> 00:05:08,960
Speaker 1: care about the city, screw the cities. I understand that sentiment.

81
00:05:09,000 --> 00:05:11,680
Speaker 1: I grew up in Montana. I get that settlement all

82
00:05:11,720 --> 00:05:14,080
Speaker 1: the way. I don't live in New York City or Washington, DC.

83
00:05:14,360 --> 00:05:21,320
Speaker 1: I understand it. But in Japan, in Saudi Arabia, in Peru.

84
00:05:22,600 --> 00:05:28,880
Speaker 1: What's on the billboards for America New York, Washington, DC,

85
00:05:29,680 --> 00:05:33,920
Speaker 1: Los Angeles. As much as I may love Montana, they're

86
00:05:33,920 --> 00:05:37,280
Speaker 1: not putting that on the billboard. The fact that our

87
00:05:37,400 --> 00:05:43,880
Speaker 1: cities are a crime ridden, murder phil dump is important.

88
00:05:44,640 --> 00:05:48,040
Speaker 1: It does matter. And I want you to understand something else,

89
00:05:48,120 --> 00:05:50,680
Speaker 1: because we're about to get into the Democrat the Communist

90
00:05:50,760 --> 00:05:54,680
Speaker 1: motivations for why they're this way. But you know it's

91
00:05:54,720 --> 00:05:58,640
Speaker 1: a choice, right. This is something that we don't realize,

92
00:05:59,400 --> 00:06:02,760
Speaker 1: we America don't realize because we've gotten used to well,

93
00:06:02,839 --> 00:06:06,200
Speaker 1: cities are full of crime. Cities are dirty. Cities are

94
00:06:06,200 --> 00:06:09,000
Speaker 1: full of crime. I probably can't send your daughter there

95
00:06:09,040 --> 00:06:12,800
Speaker 1: for the weekend, not without a chaperone. That's what we've

96
00:06:12,839 --> 00:06:15,000
Speaker 1: gotten used to. There are cities all over the world

97
00:06:15,080 --> 00:06:19,200
Speaker 1: that are sparkling clean. Go to Tokyo one day, way more

98
00:06:19,240 --> 00:06:21,680
Speaker 1: people than any city in America. You can put your

99
00:06:21,720 --> 00:06:24,120
Speaker 1: wife out on the street and have her walk ten

100
00:06:24,200 --> 00:06:26,520
Speaker 1: city blocks at two am on a Saturday night, and

101
00:06:26,560 --> 00:06:29,240
Speaker 1: she'll come back to you safe and sound. There are

102
00:06:29,279 --> 00:06:32,960
Speaker 1: cities all across the world that are not dirty. They're

103
00:06:32,960 --> 00:06:35,880
Speaker 1: not full of crime, they're not full of murderers. American

104
00:06:35,960 --> 00:06:40,800
Speaker 1: cities are because Democrats are evil, crime loving communists and

105
00:06:40,839 --> 00:06:45,080
Speaker 1: they've destroyed our cities. Donald Trump is stepping in to

106
00:06:45,240 --> 00:06:50,120
Speaker 1: clean up murder and rape and robbery. And today in

107
00:06:50,200 --> 00:06:52,600
Speaker 1: response to this, you saw a lot of.

108
00:06:52,560 --> 00:06:55,920
Speaker 4: This one of the things that we have seen over

109
00:06:55,960 --> 00:06:58,240
Speaker 4: and over from the President from his team, you know,

110
00:06:58,279 --> 00:07:00,560
Speaker 4: Ctevin Miller saying, it's like Bagdad Piopia.

111
00:07:01,400 --> 00:07:03,040
Speaker 3: They seem to hold.

112
00:07:02,920 --> 00:07:06,599
Speaker 4: Their harshest criticisms some times for cities that are majority

113
00:07:06,640 --> 00:07:07,400
Speaker 4: black and brown.

114
00:07:07,760 --> 00:07:09,400
Speaker 5: Chris, to be honest with you, I'm trying to hold

115
00:07:09,480 --> 00:07:13,120
Speaker 5: my temper. I think there's an ongoing argument that he's

116
00:07:13,160 --> 00:07:16,760
Speaker 5: having in his head with Black Lives Matter. There's an

117
00:07:16,760 --> 00:07:20,440
Speaker 5: ongoing argument that he's having with the questions around criminal

118
00:07:20,520 --> 00:07:24,360
Speaker 5: justice reform and police reform. It's interesting that he really

119
00:07:24,400 --> 00:07:29,760
Speaker 5: doesn't really care about what's actually happening in DC on

120
00:07:29,760 --> 00:07:31,440
Speaker 5: a certain level because he's not trying to get it

121
00:07:31,520 --> 00:07:33,000
Speaker 5: to underlying root causes.

122
00:07:35,080 --> 00:07:38,840
Speaker 1: Well, the root causes, the root causes. It wasn't just MSNBC.

123
00:07:39,440 --> 00:07:42,960
Speaker 1: It's been Democrat after Democrat, media channel after media channel.

124
00:07:43,240 --> 00:07:45,440
Speaker 1: This was CNN and it just.

125
00:07:45,400 --> 00:07:47,240
Speaker 6: As we go to break. I should note that The

126
00:07:47,280 --> 00:07:53,120
Speaker 6: most violent moment in recent history in DC was January sixth,

127
00:07:53,480 --> 00:07:55,960
Speaker 6: and it was an attack on the United States Capital

128
00:07:56,040 --> 00:07:58,120
Speaker 6: by a lot of people who are doing it in

129
00:07:58,160 --> 00:08:01,120
Speaker 6: the name of Donald Trump, and the people who were

130
00:08:01,200 --> 00:08:03,600
Speaker 6: hurt included members of law enforcement.

131
00:08:07,160 --> 00:08:11,720
Speaker 1: That's an insane person. So why are they doing that today,

132
00:08:12,320 --> 00:08:16,360
Speaker 1: telling out right ridiculous lies like that? Why the response

133
00:08:16,440 --> 00:08:19,960
Speaker 1: to this, Well, this is where we dig into communism

134
00:08:20,440 --> 00:08:23,760
Speaker 1: and what they want. First of all, remember something, we

135
00:08:23,800 --> 00:08:26,880
Speaker 1: don't have democrats in America anymore. We have communists. That's

136
00:08:26,920 --> 00:08:30,360
Speaker 1: what they are. And once you understand that's what they are,

137
00:08:30,720 --> 00:08:33,640
Speaker 1: then you can move from there and understand why they

138
00:08:33,760 --> 00:08:37,440
Speaker 1: say and do what they do. In the Soviet Union

139
00:08:38,160 --> 00:08:41,320
Speaker 1: during their revolution, when the Bolsheviks were having their revolution,

140
00:08:41,559 --> 00:08:45,400
Speaker 1: trying to conquer the government, trying to win, did you

141
00:08:45,480 --> 00:08:48,760
Speaker 1: know they opened up the prison doors. And not just

142
00:08:48,800 --> 00:08:51,920
Speaker 1: a couple either. There were political prisoners, yes, but they

143
00:08:51,920 --> 00:08:53,800
Speaker 1: said no, no, no, no, no, no, no no, get the

144
00:08:53,880 --> 00:08:57,960
Speaker 1: keys and open up the doors for everybody. Why would

145
00:08:58,000 --> 00:09:01,120
Speaker 1: you do that? Those prisons were full of like all

146
00:09:01,160 --> 00:09:04,679
Speaker 1: prisons are full of murderers and rapists and thieves. Why

147
00:09:04,679 --> 00:09:06,520
Speaker 1: would you want them on the streets? But they actually

148
00:09:06,559 --> 00:09:09,960
Speaker 1: took an extra step. In the Soviet Union, they turned

149
00:09:09,960 --> 00:09:12,760
Speaker 1: loose to murderers and the rapists and the thieves. And

150
00:09:12,800 --> 00:09:15,199
Speaker 1: then tell me if any of this sounds familiar. They

151
00:09:15,280 --> 00:09:19,960
Speaker 1: put into place judges and the like prosecutors who would

152
00:09:20,000 --> 00:09:24,719
Speaker 1: protect the murderers and rapists and thieves. One story I've

153
00:09:24,760 --> 00:09:26,920
Speaker 1: told you before about a thief pulling a knife on

154
00:09:26,960 --> 00:09:30,280
Speaker 1: a military veteran. The military veteran disarms him, hurts him.

155
00:09:30,600 --> 00:09:33,280
Speaker 1: The military veteran was thrown in the gulag. For that.

156
00:09:33,320 --> 00:09:36,560
Speaker 1: The criminals are to be protected, the good people who

157
00:09:36,600 --> 00:09:38,840
Speaker 1: try to stop them are to be thrown in prison.

158
00:09:39,200 --> 00:09:41,559
Speaker 1: None of the sounds familiar, does it? So why is

159
00:09:41,600 --> 00:09:44,160
Speaker 1: it communists do this? Why did they do this in

160
00:09:44,200 --> 00:09:46,719
Speaker 1: the Soviet Union? In New York City, in Washington, d C.

161
00:09:46,920 --> 00:09:51,160
Speaker 1: And Los Angeles, and city after city after city, Because well,

162
00:09:51,920 --> 00:09:57,880
Speaker 1: think about a family, happy, stable family, mom, dad, kids, happy,

163
00:09:57,960 --> 00:10:02,200
Speaker 1: content stable. You want to break that family up, you

164
00:10:02,200 --> 00:10:04,160
Speaker 1: want to destroy it. You're trying to have a revolution.

165
00:10:05,760 --> 00:10:09,880
Speaker 1: Introduce a violent dog into the home. Go adopt some

166
00:10:09,960 --> 00:10:13,439
Speaker 1: deranged pit bull or something like that starts biting everybody,

167
00:10:13,480 --> 00:10:16,360
Speaker 1: tearing up the furniture. Is that going to in some

168
00:10:16,440 --> 00:10:21,160
Speaker 1: way destabilize what was a stable home. Communists love violent

169
00:10:21,200 --> 00:10:25,320
Speaker 1: criminals for the exact same reason. A stable, happy, content

170
00:10:25,480 --> 00:10:29,600
Speaker 1: society will not embrace an evil communist revolution, but a

171
00:10:29,640 --> 00:10:35,840
Speaker 1: society where people are afraid will destabilization. That is the

172
00:10:35,920 --> 00:10:39,760
Speaker 1: name of the game. While the revolution is ongoing. They

173
00:10:39,920 --> 00:10:43,720
Speaker 1: want destabilization. And this is why I have to step

174
00:10:43,720 --> 00:10:47,120
Speaker 1: in here now and have a conversation with you. And

175
00:10:47,640 --> 00:10:51,079
Speaker 1: it's not my job to police your words, but please

176
00:10:51,600 --> 00:10:56,079
Speaker 1: stop using the term soft on crime. I still see

177
00:10:56,200 --> 00:10:58,920
Speaker 1: so many people on the right using this term. They're

178
00:10:58,960 --> 00:11:02,880
Speaker 1: soft on crime, These soft on crime das. It's Democrats

179
00:11:02,920 --> 00:11:09,400
Speaker 1: soft on crime policies. They're not soft on crime. They

180
00:11:09,400 --> 00:11:13,920
Speaker 1: want people murdered. When the Democrat judge and the Democrat

181
00:11:14,000 --> 00:11:17,640
Speaker 1: da set the serial rapists loose from joh and he

182
00:11:17,679 --> 00:11:20,520
Speaker 1: goes and rape some fifty year old woman, they're not

183
00:11:20,600 --> 00:11:23,839
Speaker 1: sitting around saying, oh, dang it, I thought he turned

184
00:11:23,840 --> 00:11:27,000
Speaker 1: his life around. I was just being soft on crime.

185
00:11:28,040 --> 00:11:31,920
Speaker 1: They wanted her raped. They want you robbed, they want

186
00:11:31,960 --> 00:11:35,320
Speaker 1: you assaulted, they want you murdered, they want your daughter raped.

187
00:11:35,440 --> 00:11:39,960
Speaker 1: They're not soft on crime. They're pro crime. They've done this.

188
00:11:40,400 --> 00:11:45,400
Speaker 1: Democrats have done this to America's cities on purpose. And

189
00:11:45,480 --> 00:11:47,080
Speaker 1: as long as we play this.

190
00:11:47,080 --> 00:11:49,960
Speaker 3: Game of make believe where it's a whoops us spilled

191
00:11:50,040 --> 00:11:52,640
Speaker 3: of milk we did some crime, then we can never

192
00:11:52,679 --> 00:11:56,320
Speaker 3: formally take on these communists in a way that will win.

193
00:11:56,760 --> 00:12:00,319
Speaker 3: We have violent crime in our cities because Democrats want

194
00:12:00,400 --> 00:12:01,880
Speaker 3: violent crime in the cities.

195
00:12:02,200 --> 00:12:05,920
Speaker 1: They are pro murdered, pro rape, pro robbery. And this

196
00:12:05,960 --> 00:12:07,720
Speaker 1: brings me to what Donald Trump did. He had to

197
00:12:07,840 --> 00:12:11,880
Speaker 1: d no choice. This is where we're at now, a

198
00:12:12,000 --> 00:12:17,560
Speaker 1: terrible set of circumstances. We now have to have big

199
00:12:17,640 --> 00:12:22,280
Speaker 1: Daddy government step in to stop innocent people from being murdered.

200
00:12:22,679 --> 00:12:25,280
Speaker 1: I didn't want it to be this way. Trump mentioned

201
00:12:25,320 --> 00:12:26,800
Speaker 1: New York, and we might have to do the same

202
00:12:26,800 --> 00:12:29,320
Speaker 1: thing in Chicago, and maybe he will have to if

203
00:12:29,320 --> 00:12:31,959
Speaker 1: he can legally do so. And that's not what I want.

204
00:12:32,160 --> 00:12:34,439
Speaker 1: I assume that's not what you want. But this is

205
00:12:34,480 --> 00:12:37,360
Speaker 1: what happens when you allow the communists to take over

206
00:12:37,480 --> 00:12:41,720
Speaker 1: our cities and they turn the jos loose. Eventually somebody

207
00:12:41,760 --> 00:12:44,079
Speaker 1: with a heavy hand is going to have to step in.

208
00:12:44,960 --> 00:12:48,240
Speaker 1: Just please understand this. It's the most important part of

209
00:12:48,280 --> 00:12:55,040
Speaker 1: this entire thing. Violent crime is what Democrats want, and

210
00:12:55,080 --> 00:12:58,319
Speaker 1: it's why they're so angry that he's going to step

211
00:12:58,320 --> 00:13:00,800
Speaker 1: in today and clean it up. When they look at

212
00:13:00,840 --> 00:13:03,680
Speaker 1: more murders in Washington, d C. For one hundred thousand

213
00:13:03,760 --> 00:13:06,679
Speaker 1: people than really virtually any other city on the planet,

214
00:13:06,920 --> 00:13:11,720
Speaker 1: they're not bummed about it. They're thrilled. And it's also why,

215
00:13:11,920 --> 00:13:14,720
Speaker 1: as you see your liberal am Peggy citing the crime

216
00:13:14,800 --> 00:13:18,600
Speaker 1: stats going down, it's also why they moved to conquer

217
00:13:18,640 --> 00:13:22,240
Speaker 1: every single government agency they could. What that does is

218
00:13:22,320 --> 00:13:25,680
Speaker 1: it gives them the legitimacy of the lie. You see,

219
00:13:25,920 --> 00:13:27,760
Speaker 1: if you want violent crime to go up in DC,

220
00:13:28,000 --> 00:13:29,800
Speaker 1: you know that's not going to be popular, So you

221
00:13:29,840 --> 00:13:33,079
Speaker 1: simply put communists in place all over the police department

222
00:13:33,600 --> 00:13:36,760
Speaker 1: who will lie about the violent crime, thus giving the

223
00:13:36,800 --> 00:13:39,839
Speaker 1: media members and Democrats cover to say violent crime has

224
00:13:39,880 --> 00:13:42,719
Speaker 1: gone down, when really we just had an article out

225
00:13:42,800 --> 00:13:46,719
Speaker 1: last week where we discovered the commanders in Washington, d C.

226
00:13:46,920 --> 00:13:51,200
Speaker 1: The police commanders routinely show up on the job and

227
00:13:51,320 --> 00:13:55,680
Speaker 1: talk people out, talk their officers out of reporting crime.

228
00:13:55,760 --> 00:13:59,080
Speaker 1: The way it is, it's all a lie because they

229
00:13:59,120 --> 00:14:02,559
Speaker 1: want you murdered and they just don't want you to know.

230
00:14:03,120 --> 00:14:07,400
Speaker 1: That's what they want all that may have made you uncomfortable,

231
00:14:08,320 --> 00:14:12,280
Speaker 1: but I am right now. It's not just gonna be

232
00:14:12,320 --> 00:14:17,160
Speaker 1: the thugs and gangbangers arrested in DC. According to some people,

233
00:14:17,840 --> 00:14:20,920
Speaker 1: it's going to be government people. We'll talk about that

234
00:14:20,960 --> 00:14:23,000
Speaker 1: in a moment. Before we talk about that, let me

235
00:14:23,040 --> 00:14:25,400
Speaker 1: talk to you about how bland you're olive oil is.

236
00:14:26,560 --> 00:14:31,600
Speaker 1: It's bland because of time, just how it goes. You know,

237
00:14:32,040 --> 00:14:36,800
Speaker 1: food loses its flavor over time. The olive oil you

238
00:14:36,840 --> 00:14:39,360
Speaker 1: buy in the grocery store is bland. You still know

239
00:14:39,400 --> 00:14:41,120
Speaker 1: it because it's all you know. It's all I know.

240
00:14:42,360 --> 00:14:46,680
Speaker 1: Try one bottle. I'm not selling you some lifetime commitment.

241
00:14:47,040 --> 00:14:51,640
Speaker 1: Try one bottle fresh from a farm and you'll be

242
00:14:51,840 --> 00:14:56,160
Speaker 1: shocked at the difference. Go to farm Fresh two four

243
00:14:56,400 --> 00:15:00,000
Speaker 1: six dot com. They'll send you a thirty nine dollars

244
00:15:00,040 --> 00:15:02,800
Speaker 1: bottle for free. You pay like a buck to cover

245
00:15:02,880 --> 00:15:06,920
Speaker 1: the ship. Farm Fresh two four six dot com will

246
00:15:06,920 --> 00:15:18,200
Speaker 1: be back. Okay, let's talk about cleaning out the government,

247
00:15:19,000 --> 00:15:21,520
Speaker 1: and it's time to hand out some credit where credit

248
00:15:21,680 --> 00:15:26,360
Speaker 1: is due. You know, I don't exactly hesitate to attack

249
00:15:26,480 --> 00:15:29,520
Speaker 1: the right to attack the GOP when I see weakness

250
00:15:29,520 --> 00:15:32,280
Speaker 1: and failure, and obviously you don't have to look hard

251
00:15:32,320 --> 00:15:36,120
Speaker 1: to find that in the GOP. But when they're doing good,

252
00:15:36,920 --> 00:15:39,200
Speaker 1: we should be pointing that out as well. I believe

253
00:15:39,240 --> 00:15:42,200
Speaker 1: that is the right thing to do. Now, let's talk

254
00:15:42,200 --> 00:15:45,400
Speaker 1: about the federal government before we get to some specifics FBI,

255
00:15:45,560 --> 00:15:49,920
Speaker 1: CIA and otherwise. As you know, the federal government was

256
00:15:49,960 --> 00:15:53,880
Speaker 1: weaponized against the right in horrible ways under Obama and

257
00:15:53,920 --> 00:15:56,760
Speaker 1: then especially it got put into hyperdrive under Joe Biden.

258
00:15:57,360 --> 00:15:59,200
Speaker 1: How did they do that? Why did they do that? Well?

259
00:15:59,600 --> 00:16:02,040
Speaker 1: They did that by filling up the government with communists.

260
00:16:03,280 --> 00:16:05,960
Speaker 1: The saying is as old as time, personnel as policy,

261
00:16:06,160 --> 00:16:08,400
Speaker 1: personnel's policy. How many times have you heard that was

262
00:16:08,440 --> 00:16:11,800
Speaker 1: a fact. If you fill up the government with committed

263
00:16:11,840 --> 00:16:16,040
Speaker 1: communists who hate Republicans, then you're inevitably wherever you put

264
00:16:16,040 --> 00:16:20,080
Speaker 1: those committed communists, you're going to have that organization attacking

265
00:16:20,120 --> 00:16:25,160
Speaker 1: Republicans and protecting Democrats. Barack Obama worked very hard during

266
00:16:25,160 --> 00:16:27,360
Speaker 1: his eight years to put those people into place all

267
00:16:27,400 --> 00:16:30,640
Speaker 1: over the government. Joe Biden got to drive the sports

268
00:16:30,680 --> 00:16:34,000
Speaker 1: car that Barack Obama built and turn the federal government

269
00:16:34,080 --> 00:16:37,600
Speaker 1: loose on the right in every possible way. It's probably

270
00:16:37,600 --> 00:16:39,520
Speaker 1: the most evil thing I've ever seen from the government

271
00:16:39,520 --> 00:16:42,240
Speaker 1: in the United States of America. And that's saying something.

272
00:16:42,840 --> 00:16:46,200
Speaker 1: So we have you know, Cash Betel dan Bonngino taking

273
00:16:46,280 --> 00:16:50,040
Speaker 1: over the FBI. Well, they may be in charge, but

274
00:16:50,560 --> 00:16:53,000
Speaker 1: just because you're sitting in the big office in the

275
00:16:53,000 --> 00:16:57,320
Speaker 1: big suite, doesn't mean you are firmly in control of everything.

276
00:16:57,400 --> 00:17:01,240
Speaker 1: When you have a multi thousand person something like thirty

277
00:17:01,240 --> 00:17:06,400
Speaker 1: five thousand employees, thousands of employees underneath you, with manager

278
00:17:07,080 --> 00:17:10,919
Speaker 1: after manager after manager who's a commissar, it's going to

279
00:17:10,960 --> 00:17:13,760
Speaker 1: take work to get them out. And unlike the private sector,

280
00:17:14,240 --> 00:17:18,040
Speaker 1: sadly you can't fire these freaking people. It takes forever,

281
00:17:19,200 --> 00:17:22,320
Speaker 1: but they are getting rid of them. Brian Driscoll, Brian

282
00:17:22,400 --> 00:17:27,679
Speaker 1: Driscol is a piece of trash. Brian drisk was gone.

283
00:17:27,960 --> 00:17:31,240
Speaker 1: Steve Jensen, he was a senior agent at the FBI,

284
00:17:32,760 --> 00:17:35,639
Speaker 1: really heading up the persecution of the January six ers.

285
00:17:35,640 --> 00:17:38,679
Speaker 1: Remember how the FBI would hunt down people, pound on

286
00:17:38,760 --> 00:17:42,760
Speaker 1: their doors, sending swat teams after peaceful people. Yeah, he's

287
00:17:42,840 --> 00:17:48,520
Speaker 1: gone too. Walter Gardna fired. You remember Peter Navarro, Peter

288
00:17:48,640 --> 00:17:51,840
Speaker 1: Navarro who came on this show several times. Peter Navarro,

289
00:17:52,480 --> 00:17:56,000
Speaker 1: Peter Navarro offered through his attorney. He lived right by

290
00:17:56,040 --> 00:17:58,360
Speaker 1: the FBI. He told the FBI, if you're gonna come

291
00:17:58,440 --> 00:18:00,879
Speaker 1: get me, I didn't do anything, but let me know,

292
00:18:00,960 --> 00:18:04,600
Speaker 1: I'll come turn myself in. The FBI said no, no, no, no, no,

293
00:18:04,640 --> 00:18:07,760
Speaker 1: we're not interested, and then they grabbed him and cuffed

294
00:18:07,800 --> 00:18:12,000
Speaker 1: him in the jetway of an airport to humiliate him.

295
00:18:12,200 --> 00:18:14,800
Speaker 1: On top of everything else, the guy who did that's

296
00:18:14,840 --> 00:18:18,800
Speaker 1: gone too again. We have to hand out credit where

297
00:18:18,840 --> 00:18:21,000
Speaker 1: credit is due, and I realize we have a very,

298
00:18:21,119 --> 00:18:24,760
Speaker 1: very long way to go, but that we are cleaning

299
00:18:24,840 --> 00:18:29,159
Speaker 1: out the commissars is a good thing that we should

300
00:18:29,240 --> 00:18:34,159
Speaker 1: feel good about. Give yourself some wins. Don't succumb to

301
00:18:34,200 --> 00:18:36,760
Speaker 1: the cynicism. I do this all the time too. Well,

302
00:18:36,800 --> 00:18:39,240
Speaker 1: it's not enough, that's not enough. We have more to go.

303
00:18:39,359 --> 00:18:40,840
Speaker 1: This should go to jail with it. And I'm not

304
00:18:40,880 --> 00:18:44,280
Speaker 1: saying you're wrong about any of that. I agree it's

305
00:18:44,320 --> 00:18:47,639
Speaker 1: not enough. More should go to jail, More should be fired.

306
00:18:47,680 --> 00:18:53,400
Speaker 1: It's not enough, but at something, not just the FBI. Honestly,

307
00:18:54,280 --> 00:18:58,000
Speaker 1: maybe more frightening than the FBI is what has happened.

308
00:18:58,000 --> 00:19:04,600
Speaker 1: It's Central Intelligence Agency with America's intelligence agency spy agency

309
00:19:04,640 --> 00:19:09,120
Speaker 1: that isn't even supposed to operate domestically, starts operating domestically

310
00:19:09,160 --> 00:19:12,520
Speaker 1: on behalf of Democrats and against Republicans. It's a big deal.

311
00:19:12,880 --> 00:19:15,639
Speaker 1: So when you see segments like this on MSNBC, it

312
00:19:15,680 --> 00:19:17,399
Speaker 1: really should put a smile on your face.

313
00:19:18,600 --> 00:19:21,840
Speaker 7: Brian Driscoll became something of a folk hero, as you mentioned,

314
00:19:21,840 --> 00:19:25,159
Speaker 7: when he was named the acting director accidentally by the

315
00:19:25,200 --> 00:19:27,399
Speaker 7: way his name was put in the wrong place and

316
00:19:27,480 --> 00:19:29,840
Speaker 7: a chart. And then he stood up to a plan

317
00:19:29,960 --> 00:19:33,320
Speaker 7: by the Trump administration that seemed like it was poised

318
00:19:33,320 --> 00:19:36,720
Speaker 7: to fire hundreds, if not thousands, of FBI agents who

319
00:19:36,720 --> 00:19:39,760
Speaker 7: had worked on those January sixth cases. He resisted that,

320
00:19:40,480 --> 00:19:44,560
Speaker 7: and yet he retained his job and his continued employment

321
00:19:44,560 --> 00:19:46,960
Speaker 7: in the bureau as long as well as Jensen and

322
00:19:47,000 --> 00:19:49,439
Speaker 7: some of these other people provided a little bit of

323
00:19:49,480 --> 00:19:53,520
Speaker 7: hope that it was possible to dissent from some aspect

324
00:19:53,560 --> 00:19:56,040
Speaker 7: of Trump administration policy, or at least to push back

325
00:19:56,280 --> 00:19:57,160
Speaker 7: and keep your job.

326
00:19:57,280 --> 00:19:58,600
Speaker 8: Well that day is over.

327
00:19:58,880 --> 00:20:01,560
Speaker 7: The message has been sent clearly, and morale inside the

328
00:20:01,640 --> 00:20:04,280
Speaker 7: FBI guys is about as low as I have ever

329
00:20:04,600 --> 00:20:05,800
Speaker 7: heard it described.

330
00:20:05,840 --> 00:20:10,920
Speaker 1: As I talk to people, that's wonderful. Washington Post reporting

331
00:20:11,000 --> 00:20:17,080
Speaker 1: CIA officials are leaking that Gabbard is overriding their concerns

332
00:20:17,640 --> 00:20:21,040
Speaker 1: FBI cleaning out, Gabbard cleaning it out. And by the

333
00:20:21,040 --> 00:20:25,040
Speaker 1: way I brought up the CIA, we have a long

334
00:20:25,080 --> 00:20:28,879
Speaker 1: way to go there, because again, it's an organization that

335
00:20:29,920 --> 00:20:31,960
Speaker 1: it's based on lines. It kind of has to be.

336
00:20:32,400 --> 00:20:35,080
Speaker 1: Spies don't get to announce their presence when they're doing it,

337
00:20:35,119 --> 00:20:38,040
Speaker 1: So you have a bunch of professional trained liars inside

338
00:20:38,040 --> 00:20:41,280
Speaker 1: of the building. Tulsey acknowledged as much as what she said.

339
00:20:41,600 --> 00:20:45,119
Speaker 9: John Brennan and James Clapper as leaders in the intelligence community,

340
00:20:45,840 --> 00:20:49,439
Speaker 9: they have their own disciples. They have a lot of

341
00:20:49,480 --> 00:20:52,600
Speaker 9: their own people that they brought in with them or

342
00:20:52,640 --> 00:20:59,880
Speaker 9: that they you know, mentored in a mirroring of their

343
00:21:00,160 --> 00:21:06,359
Speaker 9: own image, and many of those people still exist within

344
00:21:06,400 --> 00:21:12,879
Speaker 9: the intelligence community. Now. Fundamentally, we are working towards making change,

345
00:21:12,920 --> 00:21:18,360
Speaker 9: institutional change. This is a major area of focused from

346
00:21:18,359 --> 00:21:24,159
Speaker 9: the institutional change that will undo the infrastructure that people

347
00:21:24,240 --> 00:21:28,560
Speaker 9: like John Brennan and James Clapper built that allowed these

348
00:21:28,640 --> 00:21:32,360
Speaker 9: bad actors to thrive and to be promoted into very

349
00:21:32,520 --> 00:21:38,719
Speaker 9: very powerful positions within the intelligence community.

350
00:21:39,200 --> 00:21:44,280
Speaker 1: That's infrastructure she's talking about. That's what we mentioned earlier

351
00:21:44,359 --> 00:21:48,240
Speaker 1: from Barack Obama. They put into place a communist infrastructure

352
00:21:48,320 --> 00:21:51,720
Speaker 1: system where if you proved yourself to be a loyal commissar,

353
00:21:51,880 --> 00:21:55,280
Speaker 1: you would get promoted. And now we have to get

354
00:21:55,280 --> 00:21:59,760
Speaker 1: the criminals out. And look, people are doubtful. Honestly, I'm

355
00:21:59,800 --> 00:22:02,840
Speaker 1: doubt that we're going to see indictments and arrests just

356
00:22:02,840 --> 00:22:06,400
Speaker 1: because we've never seen them. These criminals always get away

357
00:22:06,440 --> 00:22:10,320
Speaker 1: with it. But I keep getting more and more hopeful

358
00:22:10,960 --> 00:22:14,560
Speaker 1: as we keep getting bigger and bigger, people saying they're coming,

359
00:22:14,640 --> 00:22:17,600
Speaker 1: They're coming, They're coming. It's not a small deal that

360
00:22:17,640 --> 00:22:20,359
Speaker 1: the Vice President of the United States of America is

361
00:22:20,400 --> 00:22:20,960
Speaker 1: saying this.

362
00:22:22,240 --> 00:22:24,000
Speaker 10: I absolutely want to see indictments, Maria.

363
00:22:24,040 --> 00:22:27,280
Speaker 8: Look, of course, you've got to have the law follow.

364
00:22:26,960 --> 00:22:27,640
Speaker 1: The facts here.

365
00:22:27,720 --> 00:22:30,040
Speaker 10: You don't just indict people to indict people. You indict

366
00:22:30,040 --> 00:22:32,480
Speaker 10: people because they broke the law. But if you look

367
00:22:32,520 --> 00:22:35,520
Speaker 10: at what Tulsa and cash Betel have revealed in the

368
00:22:35,600 --> 00:22:37,840
Speaker 10: last couple of weeks, I don't know how anybody can

369
00:22:37,880 --> 00:22:41,880
Speaker 10: look at that and say that there wasn't aggressive violations

370
00:22:41,920 --> 00:22:43,879
Speaker 10: of the law. And I absolutely think they broke the law.

371
00:22:43,920 --> 00:22:45,520
Speaker 10: You're going to see a lot of people get indicted

372
00:22:45,520 --> 00:22:45,720
Speaker 10: for that.

373
00:22:48,960 --> 00:22:53,080
Speaker 1: A lot of people getting indicted. That means a lot,

374
00:22:54,119 --> 00:22:57,040
Speaker 1: and it means a lot because I don't think the

375
00:22:57,080 --> 00:23:00,760
Speaker 1: Vice President of the United States of America puts that

376
00:23:00,920 --> 00:23:04,960
Speaker 1: drops that hot potato in Pam Bondi's lap unless he's

377
00:23:05,000 --> 00:23:09,080
Speaker 1: been given assurances that there's something there. We've had Tulsey

378
00:23:09,160 --> 00:23:12,640
Speaker 1: Gabbert come out and say it's time. Vice President, it's time.

379
00:23:12,720 --> 00:23:16,840
Speaker 1: It's all these big shots keep saying it's time. Very clearly.

380
00:23:16,880 --> 00:23:21,480
Speaker 1: They think they have something. I think they do. Put

381
00:23:21,480 --> 00:23:24,919
Speaker 1: a smile on your face. All right, let's talk to

382
00:23:25,000 --> 00:23:29,880
Speaker 1: doctor Jay, shall we the NIH director. Before we talk

383
00:23:29,960 --> 00:23:32,800
Speaker 1: to him, let me talk to you. I had to

384
00:23:32,800 --> 00:23:36,520
Speaker 1: get a new phone. I had an older phone and

385
00:23:37,680 --> 00:23:40,600
Speaker 1: it wasn't charging. I kept picking it up and plugging

386
00:23:40,640 --> 00:23:43,600
Speaker 1: it in and it just wouldn't. It was driving me crazy,

387
00:23:43,680 --> 00:23:46,280
Speaker 1: and you know how I hate technology anyway, So I

388
00:23:46,280 --> 00:23:51,080
Speaker 1: had to get a hold of pure Talk. They speak English.

389
00:23:51,440 --> 00:23:53,160
Speaker 1: When you get a hold of people with pure talk,

390
00:23:53,640 --> 00:23:59,480
Speaker 1: it's not just English. They're pleasant, they understand you, you

391
00:23:59,600 --> 00:24:03,360
Speaker 1: understand and them have a nice stay sir. It's a pleasure, sir.

392
00:24:03,520 --> 00:24:07,480
Speaker 1: It's just it's like in America, we used to have again,

393
00:24:08,359 --> 00:24:12,560
Speaker 1: I so appreciate a mobile company that hires Americans. It's

394
00:24:12,600 --> 00:24:14,400
Speaker 1: not just that Pure Talk will save you a tone

395
00:24:14,560 --> 00:24:18,240
Speaker 1: over Verizon, T Mobile, A T and T. It's that

396
00:24:18,760 --> 00:24:21,560
Speaker 1: they're pleasant and they hire Americans. That means something to me.

397
00:24:22,240 --> 00:24:26,280
Speaker 1: Maybe it's because they're CEO is a Vietnam veteran. Make

398
00:24:26,320 --> 00:24:41,960
Speaker 1: the switch Puretalk dot com slash JESSETV. We'll be back. Well,

399
00:24:42,359 --> 00:24:44,720
Speaker 1: I'm not gonna sit here, as you know, and praise

400
00:24:44,920 --> 00:24:47,960
Speaker 1: COVID or the COVID response in this in this country,

401
00:24:48,000 --> 00:24:50,399
Speaker 1: everybody knows that's not exactly something I'm going to do.

402
00:24:50,480 --> 00:24:53,879
Speaker 1: But oftentimes in life, something I've learned in my forty

403
00:24:53,880 --> 00:24:56,520
Speaker 1: four years is there are good things that can come

404
00:24:56,560 --> 00:25:01,800
Speaker 1: from bad things. Without COVID, this country ridiculous response to it.

405
00:25:01,880 --> 00:25:04,960
Speaker 1: I dare say, we probably wouldn't have the great doctor J.

406
00:25:05,200 --> 00:25:09,360
Speaker 1: Battacharia as the head of the NIH. And it blesses

407
00:25:09,400 --> 00:25:12,520
Speaker 1: me to no end that that's where he sits. Doctor J.

408
00:25:12,720 --> 00:25:15,000
Speaker 1: Be honest with you, though the DIGS have to be

409
00:25:15,119 --> 00:25:17,600
Speaker 1: way worse than it was at Stanford. It was. It's

410
00:25:17,600 --> 00:25:19,000
Speaker 1: a lower standard of living, isn't it.

411
00:25:20,160 --> 00:25:21,840
Speaker 11: I mean I did have to take a sixty percent

412
00:25:21,880 --> 00:25:24,600
Speaker 11: pay cut, which was fine, and then yeah, I do

413
00:25:24,640 --> 00:25:27,280
Speaker 11: miss that. I miss California. But you know, this job

414
00:25:27,320 --> 00:25:30,199
Speaker 11: has its perks. There's a lot of amazing scientists, and

415
00:25:30,240 --> 00:25:32,680
Speaker 11: I get to learn a lot about, you know, sort

416
00:25:32,680 --> 00:25:35,680
Speaker 11: of how they're working to make America healthy. So there's that.

417
00:25:37,440 --> 00:25:40,879
Speaker 1: Okay. Tell me, by the way, speaking of making America healthy,

418
00:25:40,920 --> 00:25:44,040
Speaker 1: tell me about canceling five hundred million dollars in funding

419
00:25:44,119 --> 00:25:46,560
Speaker 1: for m r n A. I don't know if we're

420
00:25:46,560 --> 00:25:49,159
Speaker 1: still calling them vaccines or not. What is it? What

421
00:25:49,320 --> 00:25:52,200
Speaker 1: happened there? Can you explain it? Please? Sure?

422
00:25:52,240 --> 00:25:55,720
Speaker 11: So we have had ever since, you know, basically twenty

423
00:25:55,720 --> 00:25:59,800
Speaker 11: twenty one of Nextuly twenty twenty even a big investment

424
00:26:00,080 --> 00:26:06,199
Speaker 11: in producing mRNA technology basically for vaccines, mainly for the

425
00:26:06,200 --> 00:26:09,880
Speaker 11: COVID vaccine. And we've kept this investment up even as

426
00:26:10,240 --> 00:26:13,120
Speaker 11: the uptake of the COVID vaccine has like just declined

427
00:26:13,240 --> 00:26:17,359
Speaker 11: very sharply, Like I think six four sixty percent of

428
00:26:17,359 --> 00:26:19,640
Speaker 11: Americans said that they adult Americans said they never take

429
00:26:19,840 --> 00:26:22,720
Speaker 11: another mr and A shot again. If we're going to

430
00:26:22,920 --> 00:26:26,120
Speaker 11: invest in vaccines, we need a technology that's broadly accepted

431
00:26:26,160 --> 00:26:29,600
Speaker 11: by the American people. It can't just be like a

432
00:26:29,640 --> 00:26:32,760
Speaker 11: minority of people want it. So instead, what we're doing

433
00:26:32,880 --> 00:26:36,199
Speaker 11: is we're transitioning away from this platform of mr ANDA

434
00:26:36,280 --> 00:26:38,680
Speaker 11: where there's been so much sort of I mean, because

435
00:26:38,680 --> 00:26:41,240
Speaker 11: of the because of the pandemic and especially all the

436
00:26:41,280 --> 00:26:45,879
Speaker 11: mandates and all and the sort of the false representations

437
00:26:45,880 --> 00:26:48,520
Speaker 11: that the vaccine can stop you from getting and spreading COVID,

438
00:26:48,840 --> 00:26:51,879
Speaker 11: people have lost trust sort of legitimately. So we're transitioning

439
00:26:51,880 --> 00:26:55,480
Speaker 11: away from that toward other technologies that are much more promising.

440
00:26:55,560 --> 00:26:57,720
Speaker 11: For like there's, for instance, there's a project that I

441
00:26:57,840 --> 00:27:00,280
Speaker 11: just heard about for maybe pretend to get being a

442
00:27:00,280 --> 00:27:03,760
Speaker 11: flu shot that actually works once and you never have

443
00:27:03,800 --> 00:27:06,080
Speaker 11: to take it again. If that actually works out, think

444
00:27:06,080 --> 00:27:08,840
Speaker 11: about that. I guess a safe vaccine that doesn't you

445
00:27:08,920 --> 00:27:12,000
Speaker 11: never needed the flu shot again. There's a whole bunch

446
00:27:12,000 --> 00:27:14,560
Speaker 11: of like promising technologies we're gonna invest it instead. So

447
00:27:14,640 --> 00:27:16,840
Speaker 11: that's the main thing we're doing. We're transitioning away from

448
00:27:16,840 --> 00:27:22,640
Speaker 11: this mRNA technology as a platform for vaccines toward other

449
00:27:22,760 --> 00:27:25,520
Speaker 11: more promising technologies. At the same time, we're going to

450
00:27:25,600 --> 00:27:27,320
Speaker 11: keep looking to see if we can be it can

451
00:27:27,359 --> 00:27:29,440
Speaker 11: be made better to work for cancer and other things.

452
00:27:29,480 --> 00:27:31,640
Speaker 11: We're not getting rid of the technology altogether.

453
00:27:33,880 --> 00:27:38,640
Speaker 1: Doctor Donald Trump's former Surgeon General Jerome Powell. Okay, well,

454
00:27:38,680 --> 00:27:39,680
Speaker 1: this is what he said.

455
00:27:39,800 --> 00:27:41,399
Speaker 8: For folks who may not be familiar though.

456
00:27:41,480 --> 00:27:41,880
Speaker 1: Margaret.

457
00:27:42,200 --> 00:27:46,280
Speaker 12: mRNA stands for messenger mRNA. It's a natural molecule that's

458
00:27:46,280 --> 00:27:48,760
Speaker 12: in all of our bodies. These are advances that are

459
00:27:48,760 --> 00:27:51,720
Speaker 12: not going to happen now. People are going to die

460
00:27:52,000 --> 00:27:54,800
Speaker 12: because we're cutting short funding for this.

461
00:27:54,720 --> 00:27:59,000
Speaker 1: Techniquey doctor, I guess we don't have to go into

462
00:27:59,040 --> 00:28:02,200
Speaker 1: the details of that. But it was so different back

463
00:28:02,240 --> 00:28:05,119
Speaker 1: then during COVID than it is now. How much different

464
00:28:05,200 --> 00:28:06,440
Speaker 1: is it inside the walls?

465
00:28:07,760 --> 00:28:10,040
Speaker 11: I mean, I wasn't inside that back then, but I

466
00:28:10,040 --> 00:28:13,440
Speaker 11: can tell you it's pretty exciting now. He I mean,

467
00:28:14,040 --> 00:28:16,199
Speaker 11: doctor Adams, I think is just kind of just do

468
00:28:16,240 --> 00:28:18,960
Speaker 11: a little minor petty thing. He's wrong that it's it's

469
00:28:18,960 --> 00:28:23,160
Speaker 11: not actually messenger RNA. That the technology, the mRNA technology

470
00:28:23,200 --> 00:28:26,520
Speaker 11: is called modified RNA. It's different than the the the

471
00:28:26,600 --> 00:28:28,159
Speaker 11: RNA that's in our body. There's in fact, there was

472
00:28:28,200 --> 00:28:29,879
Speaker 11: a whole Nobel Prize awarded for this, so I'm not

473
00:28:29,920 --> 00:28:31,800
Speaker 11: sure where he got that wrong. It's also not true

474
00:28:31,840 --> 00:28:33,359
Speaker 11: that people are going to die. I mean, I think

475
00:28:33,560 --> 00:28:36,080
Speaker 11: the uptake of the COVID vaccine is so low compared

476
00:28:36,119 --> 00:28:39,200
Speaker 11: to what it was once was, and COVID itself has

477
00:28:39,400 --> 00:28:42,320
Speaker 11: has transformed into something for the vast majority of people

478
00:28:42,880 --> 00:28:45,240
Speaker 11: much milder than it was, you know, saying twenty twenty,

479
00:28:45,920 --> 00:28:47,800
Speaker 11: and so we just I think he's just like I

480
00:28:47,840 --> 00:28:50,720
Speaker 11: think he's living in twenty twenty, seems to me. And

481
00:28:50,840 --> 00:28:53,720
Speaker 11: inside the walls, I just sense hope and optimism. What

482
00:28:53,800 --> 00:28:56,480
Speaker 11: I see is a lot of like optimism that the

483
00:28:56,880 --> 00:28:59,920
Speaker 11: new technologies are coming out, that we're actually we got

484
00:29:00,080 --> 00:29:02,240
Speaker 11: rid of all the DEI grants, We got rid of

485
00:29:02,280 --> 00:29:06,040
Speaker 11: all the the sort of the politicization of this agency

486
00:29:06,160 --> 00:29:08,880
Speaker 11: toward things that are actually might have a chance of

487
00:29:08,920 --> 00:29:11,680
Speaker 11: advancing American health. I mean, if we if we just

488
00:29:11,720 --> 00:29:14,200
Speaker 11: do our mission right, our mission for the NIH is

489
00:29:14,760 --> 00:29:18,080
Speaker 11: support research that improves the health and longevity the American people.

490
00:29:18,400 --> 00:29:20,840
Speaker 11: I mean, that's that's the spirit I'm approaching this job,

491
00:29:20,840 --> 00:29:22,480
Speaker 11: and that's the spirit I think that most people here

492
00:29:22,560 --> 00:29:24,400
Speaker 11: now are moving forward with.

493
00:29:26,320 --> 00:29:30,000
Speaker 1: Doctor. We saw obviously in recent years, so many of

494
00:29:30,040 --> 00:29:34,960
Speaker 1: our institutions, institutions that the American people previously trusted, prove

495
00:29:35,040 --> 00:29:37,640
Speaker 1: themselves to be untrustworthy to put it as mildly as

496
00:29:37,720 --> 00:29:41,160
Speaker 1: I possibly can. But we have to earn that trust back.

497
00:29:41,440 --> 00:29:44,920
Speaker 1: I mean, look, putting doctor j in charge helps, but

498
00:29:45,440 --> 00:29:47,920
Speaker 1: it doesn't earn the trust all the way back. Now

499
00:29:48,040 --> 00:29:50,640
Speaker 1: people sneer, they roll their eyes when they hear things

500
00:29:50,960 --> 00:29:54,240
Speaker 1: things like CDC and ih, how do we how do

501
00:29:54,320 --> 00:29:55,800
Speaker 1: we how do we get that trust back?

502
00:29:56,880 --> 00:29:59,640
Speaker 11: I mean, first, I think it's very important that we

503
00:29:59,680 --> 00:30:01,840
Speaker 11: admit our errors right there. I mean, look, what what

504
00:30:01,920 --> 00:30:05,160
Speaker 11: happened during the pandemic was was just a travesty justin you.

505
00:30:05,160 --> 00:30:06,920
Speaker 11: You know, you covered it as well as anybody. I mean,

506
00:30:07,120 --> 00:30:08,480
Speaker 11: you had me on the on the show when I

507
00:30:08,520 --> 00:30:11,000
Speaker 11: was canceled, so that I mean that that that definitely

508
00:30:11,040 --> 00:30:13,480
Speaker 11: helped me a lot. I think that we have to

509
00:30:13,560 --> 00:30:16,000
Speaker 11: just start there with say, look, here are the mistakes

510
00:30:16,000 --> 00:30:18,000
Speaker 11: we made, and here are the concrete steps we're taking

511
00:30:18,040 --> 00:30:21,000
Speaker 11: to to to solve that problem. Right So, I'll give

512
00:30:21,000 --> 00:30:23,200
Speaker 11: you one example that that I'm quite proud of that

513
00:30:23,200 --> 00:30:26,880
Speaker 11: President Trump did a couple of months ago, he signed

514
00:30:26,880 --> 00:30:29,560
Speaker 11: an executive order saying that there was not going to

515
00:30:29,560 --> 00:30:32,120
Speaker 11: be any more dangerous gain to function research funded by

516
00:30:32,120 --> 00:30:35,240
Speaker 11: the US government. You know, it's quite possible that some

517
00:30:35,320 --> 00:30:39,800
Speaker 11: of this research that unfortunately that the NIH funded, this

518
00:30:40,760 --> 00:30:42,880
Speaker 11: might have contributed to the causing of the pandemic. Certainly

519
00:30:42,960 --> 00:30:46,880
Speaker 11: was dangerous research. When President Trump signs that executive order, says, look,

520
00:30:46,880 --> 00:30:48,880
Speaker 11: we're not going to do this kind of dangerous research.

521
00:30:48,880 --> 00:30:51,240
Speaker 11: We're going to instead focus on research that might advance

522
00:30:51,280 --> 00:30:54,560
Speaker 11: your health if we do it right. That's a concrete step.

523
00:30:54,560 --> 00:30:56,280
Speaker 11: You can point to that and say, look, we've taken

524
00:30:56,320 --> 00:30:59,440
Speaker 11: an action to protect the American public from dangerous things

525
00:30:59,440 --> 00:31:01,959
Speaker 11: and move towards things that are that are really worthwhile.

526
00:31:02,760 --> 00:31:04,080
Speaker 1: We have to we have to do both. We have to.

527
00:31:04,360 --> 00:31:05,880
Speaker 11: We have to say we have to. They have to

528
00:31:05,920 --> 00:31:08,800
Speaker 11: take concrete actions to acknowledge and fix the things that

529
00:31:08,840 --> 00:31:11,720
Speaker 11: came before that were problematic, and then actually have to

530
00:31:11,760 --> 00:31:13,800
Speaker 11: produce like if we we have to we have to

531
00:31:13,800 --> 00:31:16,080
Speaker 11: solve all the Alzheimer's crisis. We have to solve the

532
00:31:16,200 --> 00:31:19,040
Speaker 11: obesity crisis. We have to cure type one diabetes, type

533
00:31:19,040 --> 00:31:21,720
Speaker 11: two diabetes. We have to actually there's a there's a

534
00:31:21,720 --> 00:31:24,280
Speaker 11: big advance, for instance, in sickle cell anemia. They're now

535
00:31:24,320 --> 00:31:26,680
Speaker 11: a cure for it. Things things like that where we

536
00:31:26,720 --> 00:31:29,000
Speaker 11: look and say, look, we actually are doing things that

537
00:31:29,040 --> 00:31:31,680
Speaker 11: are useful for our health. We're not going to use

538
00:31:31,720 --> 00:31:35,840
Speaker 11: our power to win some social justice war where yeah,

539
00:31:36,400 --> 00:31:39,680
Speaker 11: we remove DEI from our portfolio because it wasn't advancing

540
00:31:39,680 --> 00:31:43,440
Speaker 11: the health of anybody. Is politicizing science things like that.

541
00:31:43,440 --> 00:31:45,440
Speaker 11: That's it has to It's going to take concrete action,

542
00:31:45,680 --> 00:31:47,520
Speaker 11: it's going to take time, and most of all, it's

543
00:31:47,560 --> 00:31:50,600
Speaker 11: going to take humility. I'm not here to lord over people.

544
00:31:50,640 --> 00:31:53,080
Speaker 11: I mean, I view the work of scientists and a

545
00:31:53,080 --> 00:31:55,960
Speaker 11: public health as servants of the people. That that spirit

546
00:31:56,080 --> 00:31:59,040
Speaker 11: is the key to making how uh the American people

547
00:31:59,080 --> 00:31:59,800
Speaker 11: trust us again.

548
00:32:02,160 --> 00:32:05,880
Speaker 1: It's nice that we have organizations that are no longer partisan.

549
00:32:06,000 --> 00:32:09,760
Speaker 1: But doctor, when I hear you talk about tackling obeeda obesity,

550
00:32:09,760 --> 00:32:13,760
Speaker 1: couldn't that be interpreted as really something that helps democrats?

551
00:32:15,520 --> 00:32:17,120
Speaker 11: I think it would help everybody, But I mean it

552
00:32:17,160 --> 00:32:19,280
Speaker 11: certainly could help me a little more. If if I

553
00:32:19,280 --> 00:32:21,560
Speaker 11: could say I could stand to use a few lose

554
00:32:21,600 --> 00:32:25,000
Speaker 11: a few, I think, you know, the key thing is

555
00:32:25,560 --> 00:32:29,520
Speaker 11: scientific advances are inherently that advance health. They are inherently

556
00:32:29,560 --> 00:32:33,920
Speaker 11: not political. They're inherently not political. That if you have

557
00:32:34,000 --> 00:32:37,280
Speaker 11: a scientific advance that gives you tools to make your

558
00:32:37,280 --> 00:32:42,000
Speaker 11: life better, then it's not a democratic thing or Republican thing,

559
00:32:42,040 --> 00:32:45,160
Speaker 11: ideally right, ideally, Uh, the NIH should be seen as

560
00:32:45,160 --> 00:32:48,640
Speaker 11: a resource for all Americans. I think if you look

561
00:32:48,680 --> 00:32:52,000
Speaker 11: back the past past few years, I think the way

562
00:32:52,040 --> 00:32:54,080
Speaker 11: that the NIH got used it was often a tool

563
00:32:54,120 --> 00:32:57,920
Speaker 11: for the Democratic Democratic Party that they would call themselves

564
00:32:57,960 --> 00:33:00,800
Speaker 11: the Party of Science and try to make some contracts

565
00:33:00,800 --> 00:33:03,520
Speaker 11: with Republicans, as if the Republicans weren't also the Party

566
00:33:03,520 --> 00:33:08,080
Speaker 11: of science. Science has no partisanship if it's ideally done.

567
00:33:08,520 --> 00:33:12,680
Speaker 11: Ideally science is as is the common heritage of all people,

568
00:33:13,120 --> 00:33:15,640
Speaker 11: and if we do things right, we can get answers

569
00:33:15,640 --> 00:33:20,600
Speaker 11: that help people solve their most thorny health problems. You

570
00:33:20,640 --> 00:33:23,200
Speaker 11: put up thus science, There's no such thing as thus science.

571
00:33:23,440 --> 00:33:27,600
Speaker 11: Science is a process for discovering how physical reality works,

572
00:33:27,720 --> 00:33:29,840
Speaker 11: and our job is to translates that physical reality so

573
00:33:29,840 --> 00:33:34,040
Speaker 11: that it addresses the most basic needs of everybody, not partisan.

574
00:33:36,640 --> 00:33:38,720
Speaker 1: It's so refreshing to have you there. I'm so happy

575
00:33:38,760 --> 00:33:41,400
Speaker 1: for you, doctor Jay. We will break bread soon when

576
00:33:41,440 --> 00:33:51,640
Speaker 1: I get back there. I appreciate you, sir. There are

577
00:33:51,680 --> 00:33:52,840
Speaker 1: no reps in this game.

578
00:33:53,200 --> 00:33:53,680
Speaker 4: The rules.

579
00:33:53,720 --> 00:33:57,040
Speaker 13: We are gonna win. Whatever it takes. We're gonna take

580
00:33:57,040 --> 00:33:59,120
Speaker 13: this to them in every way that we can.

581
00:34:00,160 --> 00:34:01,160
Speaker 1: Next time we win.

582
00:34:01,120 --> 00:34:03,880
Speaker 13: Power, we're gonna drive that car like we stole it.

583
00:34:04,000 --> 00:34:08,239
Speaker 13: We're gonna legalize every dreamer, every dreamer's parents, every hard

584
00:34:08,280 --> 00:34:12,000
Speaker 13: working American doing backbreaking work that makes this country so

585
00:34:12,640 --> 00:34:16,279
Speaker 13: great in the first place, even greater as us citizens.

586
00:34:18,880 --> 00:34:21,160
Speaker 1: What is what the cussing? And I realized we beeped

587
00:34:21,280 --> 00:34:23,320
Speaker 1: it all out there. But you can use your imagination

588
00:34:23,600 --> 00:34:26,799
Speaker 1: on what he said. The cussing now from Democrats all

589
00:34:26,840 --> 00:34:28,840
Speaker 1: the time, joining me, now you know what I'm asking

590
00:34:28,880 --> 00:34:31,520
Speaker 1: Buck about that? Joining me now, host of course of

591
00:34:31,560 --> 00:34:34,839
Speaker 1: the Clay and Buck Show. Everybody knows them, my friend Buck,

592
00:34:34,920 --> 00:34:37,560
Speaker 1: Sexton Buck. There are a lot of theories that are

593
00:34:37,560 --> 00:34:40,520
Speaker 1: getting tossed around. We'll get to the redistricting stuff in

594
00:34:40,520 --> 00:34:44,120
Speaker 1: a minute. About the cussing Democrats do. Now, it's always

595
00:34:44,320 --> 00:34:46,840
Speaker 1: F this and F that, and F this and F that,

596
00:34:47,440 --> 00:34:49,719
Speaker 1: Whereas I mean, for most of our lives, buddy, we

597
00:34:49,800 --> 00:34:52,360
Speaker 1: never heard either party say this. Why.

598
00:34:53,920 --> 00:34:57,560
Speaker 14: It's because people have started to do the math and

599
00:34:57,719 --> 00:35:00,120
Speaker 14: look at the science. I think Jesse and understand and

600
00:35:00,239 --> 00:35:06,040
Speaker 14: that there's a clear correlation between low age adjusted testosterone

601
00:35:06,080 --> 00:35:09,120
Speaker 14: in Democrat men and being left wing.

602
00:35:09,440 --> 00:35:11,719
Speaker 8: So this is a compensation. It's absolutely true.

603
00:35:11,800 --> 00:35:14,319
Speaker 14: By the way, you if you are a low te

604
00:35:14,680 --> 00:35:17,399
Speaker 14: beta male, the chance that you are very left wing

605
00:35:17,400 --> 00:35:19,680
Speaker 14: in your politics is incredibly high.

606
00:35:20,320 --> 00:35:20,440
Speaker 1: Uh.

607
00:35:21,000 --> 00:35:23,359
Speaker 14: And I think that they believe that by cursing, it

608
00:35:23,360 --> 00:35:25,719
Speaker 14: makes them look tough, makes them look like they've got

609
00:35:25,800 --> 00:35:28,759
Speaker 14: But really what it makes them look like is the

610
00:35:28,880 --> 00:35:32,040
Speaker 14: kid who's got like the beginnings of a mustache in.

611
00:35:32,120 --> 00:35:34,720
Speaker 8: Junior year of high school, who's like deestrict Dubai beer,

612
00:35:35,000 --> 00:35:37,480
Speaker 8: who's like, yeah, like look at my mustache, Like you

613
00:35:37,600 --> 00:35:40,160
Speaker 8: can trust me, you don't need my id.

614
00:35:40,400 --> 00:35:40,520
Speaker 1: Uh.

615
00:35:40,800 --> 00:35:43,480
Speaker 14: That's that's the pathetic level that democrats have sung to

616
00:35:43,560 --> 00:35:46,839
Speaker 14: here and Beto O'Rourke, by the way, has this guy

617
00:35:46,840 --> 00:35:48,920
Speaker 14: ever had a real job? I mean, I really asked

618
00:35:48,920 --> 00:35:50,640
Speaker 14: that he married a rich lady. By the way, I

619
00:35:50,680 --> 00:35:53,160
Speaker 14: don't think he's ever had a real job. I promise

620
00:35:53,200 --> 00:35:56,239
Speaker 14: you he's never been in any kind of actual fistfighter altercation.

621
00:35:56,880 --> 00:35:59,040
Speaker 14: But he gets up there and does this fake tough

622
00:35:59,080 --> 00:36:01,600
Speaker 14: guy I want to be Texan act, and.

623
00:36:01,560 --> 00:36:02,760
Speaker 8: It's just it's sad.

624
00:36:03,560 --> 00:36:05,520
Speaker 14: He's a little trust fund brat, or at least someone

625
00:36:05,560 --> 00:36:07,759
Speaker 14: else's trust fund that he gets to attach himself to.

626
00:36:08,080 --> 00:36:10,440
Speaker 14: And I hope he runs on the open borders message.

627
00:36:10,560 --> 00:36:12,400
Speaker 14: I hope he runs on telling Americans, you know what,

628
00:36:12,400 --> 00:36:16,400
Speaker 14: we need ten million more dependents, ten million more people

629
00:36:16,440 --> 00:36:17,400
Speaker 14: scamming the system.

630
00:36:17,640 --> 00:36:19,719
Speaker 8: Don't you love crowded ers.

631
00:36:19,480 --> 00:36:21,799
Speaker 14: And schools where English is a second language is more

632
00:36:21,840 --> 00:36:23,959
Speaker 14: popular than actually teaching English.

633
00:36:24,080 --> 00:36:25,480
Speaker 8: Yeah, that's great run off that.

634
00:36:26,800 --> 00:36:30,359
Speaker 1: I'm actually glad you brought this up. I find this

635
00:36:30,480 --> 00:36:33,359
Speaker 1: fascinating because there's always been an element of when you're

636
00:36:33,400 --> 00:36:36,360
Speaker 1: running in a primary, Republican or Democrat, you're gonna have

637
00:36:36,400 --> 00:36:38,480
Speaker 1: to say some things or take some positions that may

638
00:36:38,520 --> 00:36:40,839
Speaker 1: turn off kind of the normy morons who vote one

639
00:36:40,840 --> 00:36:44,360
Speaker 1: way or the other. But there's that normal thing, and

640
00:36:44,440 --> 00:36:47,960
Speaker 1: then there's what Democrats have now, where you have to

641
00:36:48,000 --> 00:36:51,600
Speaker 1: take the twenty percent side of every single eighty twenty

642
00:36:51,719 --> 00:36:55,160
Speaker 1: issue or you can't gain popularity in the party. But

643
00:36:55,360 --> 00:36:57,760
Speaker 1: all the normies out there are never going to vote

644
00:36:57,760 --> 00:37:00,880
Speaker 1: for that, and they all, I mean, Chuck Schumer has

645
00:37:00,920 --> 00:37:03,160
Speaker 1: had to move way way to the left, not that

646
00:37:03,200 --> 00:37:05,560
Speaker 1: he wasn't always a lefty, way to the left just

647
00:37:05,640 --> 00:37:09,600
Speaker 1: to avoid getting primaried by AOC. To be a Democrat today,

648
00:37:09,640 --> 00:37:12,200
Speaker 1: you have to take insane positions that means you can't

649
00:37:12,239 --> 00:37:14,920
Speaker 1: get elected. How do they get out of that minefield.

650
00:37:15,520 --> 00:37:19,320
Speaker 14: I'm actually surprised that they haven't had that moment yet

651
00:37:19,600 --> 00:37:23,520
Speaker 14: where they start to they start to change course here

652
00:37:23,640 --> 00:37:26,200
Speaker 14: or start to maybe, you know, cut away the anchors

653
00:37:26,200 --> 00:37:29,680
Speaker 14: that are pulling them down to the to the ocean floor,

654
00:37:30,120 --> 00:37:33,680
Speaker 14: because that's exactly what's going on, especially with things like Okay, yeah,

655
00:37:34,000 --> 00:37:36,080
Speaker 14: you can keep telling us that that a two hundred

656
00:37:36,120 --> 00:37:38,399
Speaker 14: pound guy who now has grown his hair out long

657
00:37:38,440 --> 00:37:42,920
Speaker 14: and painted his fingernails doesn't have an advantage over you know, Susie,

658
00:37:42,960 --> 00:37:47,400
Speaker 14: Sally and and Sarah in the you know, high school

659
00:37:47,640 --> 00:37:48,480
Speaker 14: lacrosse team.

660
00:37:48,920 --> 00:37:50,319
Speaker 1: But we're sick of.

661
00:37:50,280 --> 00:37:53,000
Speaker 14: Being lied to, like it doesn't it doesn't matter how

662
00:37:53,040 --> 00:37:55,719
Speaker 14: often you repeat this. We can all see that you're

663
00:37:55,719 --> 00:37:58,800
Speaker 14: out of your mind's Democrats, And I think the issue

664
00:37:58,840 --> 00:38:03,160
Speaker 14: is that they've used these so effectively as mobilization tools

665
00:38:03,160 --> 00:38:06,279
Speaker 14: for so long, and they also, I think got overconfident

666
00:38:06,320 --> 00:38:08,919
Speaker 14: between COVID and the dominance they had with the social

667
00:38:09,000 --> 00:38:11,799
Speaker 14: media platforms all colluding with them where they thought they

668
00:38:11,800 --> 00:38:17,120
Speaker 14: could ram delusion into our brains across the country. And

669
00:38:17,160 --> 00:38:19,080
Speaker 14: now they're dealing with the backlash from that, which is

670
00:38:19,120 --> 00:38:21,759
Speaker 14: it turns out half the country does not want to

671
00:38:21,760 --> 00:38:24,680
Speaker 14: act like they're they're truly insane, maybe a little more

672
00:38:24,680 --> 00:38:27,120
Speaker 14: than half the country. And that's a problem for the Democrats.

673
00:38:27,880 --> 00:38:29,920
Speaker 14: And I think it's probably more like a seventy seventy

674
00:38:30,040 --> 00:38:31,640
Speaker 14: or as you said, to twenty percent, so an eighty

675
00:38:31,680 --> 00:38:33,839
Speaker 14: twenty issue. I don't know how they walk away from

676
00:38:33,840 --> 00:38:36,440
Speaker 14: this still, because the activist class and the donor class

677
00:38:36,480 --> 00:38:38,520
Speaker 14: for the Democrats are the craziest.

678
00:38:38,560 --> 00:38:40,560
Speaker 8: Now, that's that's what people have to understand.

679
00:38:40,680 --> 00:38:44,319
Speaker 14: The lifestyle issues that the billionaires like you know, the

680
00:38:44,360 --> 00:38:47,279
Speaker 14: reid Hoffman's of the world are willing to fund have

681
00:38:47,440 --> 00:38:50,160
Speaker 14: nothing to do with like the old Democrat Party of

682
00:38:50,280 --> 00:38:53,920
Speaker 14: unions and you know, blue collar labor or whatever. No,

683
00:38:54,280 --> 00:38:58,000
Speaker 14: it's all race, communism and gender insanity, funded by billionaires

684
00:38:58,000 --> 00:39:01,840
Speaker 14: who have never even gotten accuses on their hands.

685
00:39:01,640 --> 00:39:03,600
Speaker 8: From doing anything. I mean, this is what this is

686
00:39:03,600 --> 00:39:04,920
Speaker 8: the Democrat Party of today.

687
00:39:06,360 --> 00:39:10,440
Speaker 1: Yeah, I'm I'm blown away at how they overcome that,

688
00:39:10,600 --> 00:39:13,919
Speaker 1: because it's the donors, like you just pointed out, It's

689
00:39:13,960 --> 00:39:17,080
Speaker 1: not just the rabid street animals with the purple hair

690
00:39:17,280 --> 00:39:20,880
Speaker 1: on the streets. They're gluing themselves to the highway. The

691
00:39:21,000 --> 00:39:25,520
Speaker 1: people who fund the Democrat Party demand they take insane

692
00:39:25,560 --> 00:39:27,760
Speaker 1: positions that can't make them win. I just saw pull recently.

693
00:39:27,760 --> 00:39:29,759
Speaker 1: I forget what it was, but they were talking about

694
00:39:29,840 --> 00:39:34,200
Speaker 1: Democrat donors and they essentially said, these Democrats that are donors,

695
00:39:34,200 --> 00:39:36,840
Speaker 1: the billionaires want us to fight Trump harder. That was

696
00:39:36,880 --> 00:39:39,520
Speaker 1: the position they take. The billionaire donors are not telling

697
00:39:39,600 --> 00:39:43,839
Speaker 1: Democrats to slow down, Jasmine Crockett, take off your eyelashes.

698
00:39:43,960 --> 00:39:47,640
Speaker 1: They're not saying these things. They're telling you no, double down,

699
00:39:47,760 --> 00:39:50,560
Speaker 1: triple down. So they're just screwed.

700
00:39:51,440 --> 00:39:55,759
Speaker 14: Well, the point of being a billionaire leftist is that

701
00:39:55,880 --> 00:39:59,879
Speaker 14: you get to chin wag among your social set, which

702
00:39:59,880 --> 00:40:02,160
Speaker 14: is going to be basically other let's just be honest

703
00:40:02,200 --> 00:40:06,120
Speaker 14: tech billionaires or you know, inherited money billionaires. You're going

704
00:40:06,160 --> 00:40:08,600
Speaker 14: to be able to tell them about how virtuous you

705
00:40:08,640 --> 00:40:11,000
Speaker 14: are and what a badass you are by.

706
00:40:10,840 --> 00:40:11,560
Speaker 8: Writing these checks.

707
00:40:11,560 --> 00:40:13,480
Speaker 14: I mean, you look at somebody like, try to get

708
00:40:13,520 --> 00:40:15,759
Speaker 14: in the mindset of now Alex.

709
00:40:15,440 --> 00:40:20,120
Speaker 8: Soros it was George Soros before or George Schwartz I

710
00:40:20,120 --> 00:40:22,320
Speaker 8: believe was his original name. He changed his name to Soros.

711
00:40:23,840 --> 00:40:26,640
Speaker 14: Try to get in the mind of some of these individuals,

712
00:40:26,880 --> 00:40:28,919
Speaker 14: like what does this guy, Alex Soros think he's doing.

713
00:40:29,120 --> 00:40:33,560
Speaker 14: He is funding things that make him feel important and brave,

714
00:40:33,960 --> 00:40:37,200
Speaker 14: or at least important and tough, because he's a radical.

715
00:40:37,400 --> 00:40:40,000
Speaker 14: There's nothing radical about this guy. He's been flying private

716
00:40:40,040 --> 00:40:42,279
Speaker 14: his entire life. He's never done a hard day's work

717
00:40:42,320 --> 00:40:44,040
Speaker 14: in his life. He's never had to worry about paying

718
00:40:44,040 --> 00:40:47,279
Speaker 14: a bill in his life. But he wants to cosplay

719
00:40:47,760 --> 00:40:50,640
Speaker 14: as some kind of revolutionary and by writing checks to

720
00:40:50,719 --> 00:40:53,640
Speaker 14: the street communists, as you point out, he's able to

721
00:40:53,680 --> 00:40:56,200
Speaker 14: do that, and he's able to act like he somehow

722
00:40:56,480 --> 00:40:58,960
Speaker 14: has worth beyond the dollars in the bank account that

723
00:40:59,000 --> 00:41:01,880
Speaker 14: he didn't earn. Now you just extrapolate that out for

724
00:41:01,960 --> 00:41:05,200
Speaker 14: the entire Democrat donor class, and you see what their

725
00:41:05,200 --> 00:41:08,600
Speaker 14: politics really are. It's the politics of showiness. It's a

726
00:41:08,640 --> 00:41:13,040
Speaker 14: politics of self importance dressed up as concern for other people,

727
00:41:13,200 --> 00:41:16,320
Speaker 14: because if you're concerned for other people, you certainly wouldn't

728
00:41:16,320 --> 00:41:19,799
Speaker 14: be funding like Soros DA's who turn every city into

729
00:41:19,800 --> 00:41:23,359
Speaker 14: a healthscape where everyone's being preyed upon by barbarians all

730
00:41:23,400 --> 00:41:23,800
Speaker 14: the time.

731
00:41:24,280 --> 00:41:25,120
Speaker 8: But that's what they do.

732
00:41:27,960 --> 00:41:31,440
Speaker 1: I almost forgot Sorows and that beard he married, whatever

733
00:41:31,480 --> 00:41:34,840
Speaker 1: her stupid name, is all right, Buck, are we gonna

734
00:41:35,480 --> 00:41:37,479
Speaker 1: Are we gonna do okay in the midterms. I feel

735
00:41:37,520 --> 00:41:39,560
Speaker 1: like with the redistricting stuff, which I know is not

736
00:41:39,600 --> 00:41:42,360
Speaker 1: going to go into effect by them, but with the deportations,

737
00:41:42,400 --> 00:41:44,880
Speaker 1: and I feel like we might do okay. But you

738
00:41:44,920 --> 00:41:48,200
Speaker 1: and I've had this talk before. Yeah, I know I'm not.

739
00:41:48,400 --> 00:41:50,680
Speaker 8: You know, Clay's the optimistic one, He's the happy one.

740
00:41:50,719 --> 00:41:52,799
Speaker 8: I'm the bitter one. So you know, I'm the one.

741
00:41:52,840 --> 00:41:54,120
Speaker 8: It's always like, I think we're screwed.

742
00:41:54,960 --> 00:41:56,840
Speaker 14: You know, he loves sports, he's the Clay is like

743
00:41:56,880 --> 00:41:59,560
Speaker 14: the you know, he's the He's the golden retriever, and

744
00:41:59,560 --> 00:42:03,719
Speaker 14: I'm a little more like the angry bloodhound who's you know,

745
00:42:03,719 --> 00:42:05,440
Speaker 14: in the backyard, doesn't want to be bothered.

746
00:42:06,200 --> 00:42:09,160
Speaker 8: I would just say this, I would say I think that.

747
00:42:09,360 --> 00:42:10,960
Speaker 14: I mean, look, we're going to keep the Senate, which

748
00:42:10,960 --> 00:42:13,880
Speaker 14: is which is obviously very helpful, very good for judges

749
00:42:14,320 --> 00:42:17,080
Speaker 14: and getting people through, although that judicial machinery needs to

750
00:42:17,080 --> 00:42:19,719
Speaker 14: work a lot more smoothly than it has been. I

751
00:42:19,719 --> 00:42:22,080
Speaker 14: also think that we're going to be in pretty good

752
00:42:22,080 --> 00:42:24,759
Speaker 14: shape to hold the House. Actually, this is what I've

753
00:42:24,760 --> 00:42:27,160
Speaker 14: been telling everybody. This stuff happened so quickly. As you know, Jesse,

754
00:42:27,800 --> 00:42:31,040
Speaker 14: Trump has eighteen months, and look he's moving at at

755
00:42:31,040 --> 00:42:34,720
Speaker 14: an incredible pace. I have no complaints about the issues

756
00:42:34,719 --> 00:42:37,400
Speaker 14: that they're focusing on, the speed with Blist they're focusing

757
00:42:37,440 --> 00:42:39,200
Speaker 14: on it. I had tons of complaints in the first

758
00:42:39,200 --> 00:42:41,719
Speaker 14: Trump administration, but they had a clown show making a

759
00:42:41,719 --> 00:42:44,160
Speaker 14: lot of the decisions under Trump, so that wasn't really

760
00:42:44,200 --> 00:42:44,720
Speaker 14: a surprise.

761
00:42:44,800 --> 00:42:46,359
Speaker 1: It was just, you know, a lot of screw ups.

762
00:42:46,440 --> 00:42:49,280
Speaker 14: You had to fire a lot of people this time around, though,

763
00:42:49,520 --> 00:42:52,880
Speaker 14: they are locked in, but they only have eighteen months

764
00:42:52,880 --> 00:42:55,160
Speaker 14: maybe less to do big things because then it just

765
00:42:55,200 --> 00:42:57,960
Speaker 14: turns into a midterm fight. And the only thing Democrats

766
00:42:58,000 --> 00:43:00,600
Speaker 14: will exist to do if they take the House is

767
00:43:00,680 --> 00:43:03,839
Speaker 14: be as not just obstructive, because you know, fine, both

768
00:43:03,840 --> 00:43:06,560
Speaker 14: parties want to stop the other party as insane as possible.

769
00:43:06,840 --> 00:43:09,120
Speaker 14: Whatever a Democrat majority House can do to be as

770
00:43:09,120 --> 00:43:10,440
Speaker 14: crazy as possible.

771
00:43:10,120 --> 00:43:10,879
Speaker 8: Is what they will do.

772
00:43:11,400 --> 00:43:14,959
Speaker 14: So I view it as really existential for the Trump

773
00:43:15,000 --> 00:43:17,399
Speaker 14: agenda to maintain the House in the Senate. I think

774
00:43:17,400 --> 00:43:20,239
Speaker 14: they can, though as my i'd go as far as

775
00:43:20,280 --> 00:43:21,520
Speaker 14: to say I think they will, Jesse.

776
00:43:21,680 --> 00:43:25,279
Speaker 8: I actually think they will, which is unlikely in an

777
00:43:25,320 --> 00:43:27,359
Speaker 8: off year election. But look at it. Look at how

778
00:43:27,360 --> 00:43:30,799
Speaker 8: Sonny my disposition is today shocking your viewers shock?

779
00:43:31,520 --> 00:43:34,200
Speaker 1: How about that? About that? Now I'm in a good mood.

780
00:43:34,360 --> 00:43:49,520
Speaker 1: Thanks Buck, appreciate your brother. Lighten the mood. That's all right.

781
00:43:50,200 --> 00:43:54,319
Speaker 1: It is time to lighten the mood. And dogs are

782
00:43:55,080 --> 00:43:58,000
Speaker 1: there's something that gets featured regularly on the show for

783
00:43:58,080 --> 00:44:00,000
Speaker 1: lightening the mood, because don't they make us all happy?

784
00:44:00,080 --> 00:44:02,440
Speaker 1: It's not just yours. When you see a video of

785
00:44:02,480 --> 00:44:05,080
Speaker 1: a dog doing something, loving on some sick kid, or

786
00:44:05,680 --> 00:44:08,799
Speaker 1: saving somebody from a bear, puts a smile on your face.

787
00:44:15,719 --> 00:44:43,480
Speaker 15: Out out come here, out, Oh my god, I am

788
00:44:43,520 --> 00:44:45,439
Speaker 15: glad that dog didn't catch the bear.

789
00:44:46,480 --> 00:44:55,200
Speaker 1: I'll see them