1
00:00:01,520 --> 00:00:05,320
Speaker 1: Common sense. It's all about common sense, right, Okay, Well.

2
00:00:05,880 --> 00:00:08,840
Speaker 2: Next there, this is House Joint Resolution forty two. Again,

3
00:00:08,880 --> 00:00:11,879
Speaker 2: this is a recision of a bidin error regulation, in

4
00:00:11,880 --> 00:00:17,119
Speaker 2: this case relating to energy conservation standards for household appliances

5
00:00:17,160 --> 00:00:18,640
Speaker 2: and certain consumer products.

6
00:00:20,560 --> 00:00:27,880
Speaker 1: It's the serious castes. That's a good one. I know

7
00:00:27,920 --> 00:00:33,239
Speaker 1: who's over there, I know who did this. Explain that,

8
00:00:33,360 --> 00:00:34,320
Speaker 1: please sure.

9
00:00:34,440 --> 00:00:38,200
Speaker 3: Look, this is helping fight inflation because the cost of

10
00:00:39,800 --> 00:00:43,199
Speaker 3: the burden appliance manufacturers is going to drive up the

11
00:00:43,240 --> 00:00:46,680
Speaker 3: cost of them producing household products, which means that when

12
00:00:46,720 --> 00:00:49,920
Speaker 3: you go buy a washer, dryer, any appliance, it was

13
00:00:49,960 --> 00:00:52,040
Speaker 3: going to drive up the cost for consumers. It reduces

14
00:00:52,200 --> 00:00:56,000
Speaker 3: quote consumer choice. But in the bottom line, we've been

15
00:00:56,000 --> 00:00:58,520
Speaker 3: trying to fight inflation. This fights inflation. This helps take

16
00:00:58,600 --> 00:01:01,960
Speaker 3: the cost out of producing these that Americans need every day.

17
00:01:02,160 --> 00:01:04,000
Speaker 3: And when you think, when you add all this up,

18
00:01:04,720 --> 00:01:07,280
Speaker 3: it's one regulation here, one relation there, they would say

19
00:01:07,280 --> 00:01:08,959
Speaker 3: it's deminimus. But when you add it all up, it

20
00:01:09,040 --> 00:01:11,080
Speaker 3: costs a lot to American consumers.

21
00:01:11,080 --> 00:01:13,440
Speaker 1: And this is fighting bad. It's another as good, and

22
00:01:13,480 --> 00:01:15,160
Speaker 1: it's not as good, not nearly as good, and not

23
00:01:15,280 --> 00:01:19,600
Speaker 1: nearly as efficient and more costly. Other than that, it's wonderful.

24
00:01:20,920 --> 00:01:23,479
Speaker 1: Thank great job, Thank you very much. Great, good to listen.

25
00:01:24,440 --> 00:01:28,199
Speaker 2: Okay, lastly, sir, we have House Joint Resolution seventy five. Again,

26
00:01:28,280 --> 00:01:31,399
Speaker 2: this is a recision of a Biden error regulation, in

27
00:01:31,480 --> 00:01:35,959
Speaker 2: this case relating to energy standards for commercial refrigerators, freezers

28
00:01:36,000 --> 00:01:37,600
Speaker 2: and refrigerator freezers.

29
00:01:40,240 --> 00:01:42,240
Speaker 4: Do you have the sink one in here? The sinks

30
00:01:42,240 --> 00:01:44,560
Speaker 4: and that's shower heads that.

31
00:01:45,240 --> 00:01:47,039
Speaker 5: We have an executive order on that coming for.

32
00:01:47,000 --> 00:01:50,960
Speaker 1: You later, sir. That's coming when later this afternoon. Okay, good,

33
00:01:51,040 --> 00:01:56,880
Speaker 1: you're gonna be around later this afternoon. Good sinks and

34
00:01:56,960 --> 00:01:57,840
Speaker 1: shower heads.

35
00:01:59,480 --> 00:02:02,440
Speaker 6: Where you buy a home and you have a new

36
00:02:03,480 --> 00:02:05,880
Speaker 6: shower head and you don't get anybody that what it

37
00:02:05,920 --> 00:02:07,800
Speaker 6: doesn't come out of the sake that when it comes

38
00:02:07,800 --> 00:02:11,160
Speaker 6: out of nowhere, what a shame, what a ridiculous waste.

39
00:02:11,520 --> 00:02:15,720
Speaker 1: Okay, let me do this. Come here. Who's who's responsible

40
00:02:15,760 --> 00:02:16,239
Speaker 1: for this work?

41
00:02:16,240 --> 00:02:16,480
Speaker 7: Am I?

42
00:02:16,520 --> 00:02:17,240
Speaker 5: Miss President?

43
00:02:18,400 --> 00:02:18,840
Speaker 1: Good Man?

44
00:02:19,120 --> 00:02:19,280
Speaker 8: Sir?

45
00:02:20,240 --> 00:02:22,440
Speaker 1: Okay, thank you. I want to discuss that.

46
00:02:22,400 --> 00:02:25,640
Speaker 9: Yes, sir, this would have this was a government regulation

47
00:02:26,080 --> 00:02:28,720
Speaker 9: that we have now repealed, Thank you very much. Mister

48
00:02:29,000 --> 00:02:32,480
Speaker 9: President now says that the American taxpayers getting ready to

49
00:02:32,480 --> 00:02:36,079
Speaker 9: say the Texas taxpayer, them too, but the American taxpayer,

50
00:02:36,240 --> 00:02:40,240
Speaker 9: because who would have ultimately paid the price on a government,

51
00:02:40,320 --> 00:02:44,359
Speaker 9: government mandate and the government regulation the people of America.

52
00:02:44,480 --> 00:02:46,800
Speaker 9: So you just say that American taxpayer money.

53
00:02:46,840 --> 00:02:50,440
Speaker 1: So thank you very much, fantastic, thank you, great Jock. Okay,

54
00:02:50,520 --> 00:02:54,440
Speaker 1: any questions.

55
00:02:53,320 --> 00:02:58,239
Speaker 10: Side today, That's the baseline here on a scarious day,

56
00:02:58,720 --> 00:03:00,360
Speaker 10: you can have to deal to done to that that

57
00:03:00,639 --> 00:03:03,520
Speaker 10: countries offering the hero tariffs won't give us a property.

58
00:03:04,200 --> 00:03:06,799
Speaker 1: You are going to always have a baseline.

59
00:03:06,840 --> 00:03:08,760
Speaker 4: I mean, there could be an exception at some point,

60
00:03:08,800 --> 00:03:11,880
Speaker 4: we'll see you somebody just something exceptional for us.

61
00:03:11,919 --> 00:03:12,919
Speaker 1: It's always possible.

62
00:03:12,960 --> 00:03:15,800
Speaker 4: But basically you have a baseline of a minimum of

63
00:03:15,840 --> 00:03:18,640
Speaker 4: ten percent, and some of them will be much higher

64
00:03:18,680 --> 00:03:21,799
Speaker 4: forty percent, fifty sixty percent, as they've been doing to.

65
00:03:21,800 --> 00:03:25,720
Speaker 1: Us over the years. We had a.

66
00:03:25,080 --> 00:03:28,120
Speaker 4: Wonderful deal yesterday. We have four or five other deals

67
00:03:28,120 --> 00:03:31,399
Speaker 4: coming immediately. We have many deals coming down the line,

68
00:03:31,440 --> 00:03:33,600
Speaker 4: and ultimately we're just signing the rest of them in.

69
00:03:34,680 --> 00:03:36,760
Speaker 4: But we always have a baseline of ten percent.

70
00:03:36,840 --> 00:03:40,960
Speaker 11: And then specifically on the possibility of an increase in

71
00:03:41,080 --> 00:03:44,280
Speaker 11: taxes on wealthy are Americans, what do you say to

72
00:03:44,560 --> 00:03:48,320
Speaker 11: conservative Republicans to argue that this is an increase on

73
00:03:48,400 --> 00:03:49,560
Speaker 11: the small business owners.

74
00:03:49,680 --> 00:03:52,520
Speaker 4: Well, what we're doing is we're actually if we ever

75
00:03:52,560 --> 00:03:55,480
Speaker 4: did that, it would only be and from what I hear,

76
00:03:56,480 --> 00:03:57,960
Speaker 4: people would love to do it rich people.

77
00:03:58,000 --> 00:03:59,720
Speaker 1: I would love to do it, frankly.

78
00:03:59,320 --> 00:04:01,120
Speaker 4: But what will it is that you know they'll go

79
00:04:01,160 --> 00:04:02,920
Speaker 4: around saying, oh, this is so chab, but.

80
00:04:02,880 --> 00:04:06,600
Speaker 1: Would you do it? Is you're giving up something up

81
00:04:06,720 --> 00:04:07,600
Speaker 1: top in.

82
00:04:07,640 --> 00:04:10,040
Speaker 4: Order to make people in the middle income and the

83
00:04:10,040 --> 00:04:14,120
Speaker 4: lower income brackets save more. So it's really a redistribution,

84
00:04:15,560 --> 00:04:18,320
Speaker 4: and I'm willing to do it if they want. I

85
00:04:18,320 --> 00:04:20,080
Speaker 4: would love to be able to give people in a

86
00:04:20,080 --> 00:04:23,400
Speaker 4: lower bracket a big break by giving up some.

87
00:04:23,440 --> 00:04:23,880
Speaker 1: Of what I have.

88
00:04:24,000 --> 00:04:26,000
Speaker 4: But I'll tell you a lot of people say, don't

89
00:04:26,040 --> 00:04:28,760
Speaker 4: do it because of the fact that you have the

90
00:04:28,800 --> 00:04:31,520
Speaker 4: Bush statement about reading my lips.

91
00:04:31,560 --> 00:04:33,680
Speaker 1: But he lost because of Ross Burow. He didn't lose

92
00:04:33,720 --> 00:04:34,160
Speaker 1: because of.

93
00:04:34,080 --> 00:04:36,800
Speaker 4: That statement and in all this, But I don't think

94
00:04:36,839 --> 00:04:38,840
Speaker 4: they're going to be doing it. But I actually think

95
00:04:38,880 --> 00:04:42,200
Speaker 4: it's good politics to do it where richer people give

96
00:04:42,320 --> 00:04:44,200
Speaker 4: up and it's a very small it's like a point,

97
00:04:44,839 --> 00:04:45,960
Speaker 4: but they give it up.

98
00:04:45,880 --> 00:04:49,360
Speaker 1: To benefit people are lowering and then on the soul tax.

99
00:04:49,839 --> 00:04:54,080
Speaker 11: As president, there are some Republicans who say, why is

100
00:04:54,120 --> 00:04:58,000
Speaker 11: it that these forty five other states should it be

101
00:04:58,440 --> 00:05:00,720
Speaker 11: an taxes to a the tax.

102
00:05:00,600 --> 00:05:02,320
Speaker 1: Room of New York.

103
00:05:02,720 --> 00:05:05,799
Speaker 4: It's only because those states are behind, very badly behind,

104
00:05:06,400 --> 00:05:07,320
Speaker 4: and those people.

105
00:05:07,160 --> 00:05:08,400
Speaker 1: Were affected very badly.

106
00:05:08,839 --> 00:05:11,360
Speaker 4: And you know the sad part is oftentimes they were

107
00:05:11,360 --> 00:05:14,080
Speaker 4: affected badly because you had bad management of those states,

108
00:05:14,120 --> 00:05:17,800
Speaker 4: like in California with news and you know people, so

109
00:05:17,880 --> 00:05:19,120
Speaker 4: you had some bad management.

110
00:05:19,600 --> 00:05:22,440
Speaker 1: But that's being worked on now and they may do

111
00:05:22,520 --> 00:05:23,800
Speaker 1: a piece one way or the other.

112
00:05:24,560 --> 00:05:28,039
Speaker 4: It's a very complex issue, but I think I think

113
00:05:28,040 --> 00:05:28,880
Speaker 4: it's being worked out.

114
00:05:28,920 --> 00:05:29,800
Speaker 1: I think it's going to be work.

115
00:05:29,839 --> 00:05:32,720
Speaker 4: It has not been settled yet, but they'll settle it

116
00:05:32,800 --> 00:05:33,480
Speaker 4: up pretty quickly.

117
00:05:36,120 --> 00:05:36,720
Speaker 1: How do you give it?

118
00:05:36,800 --> 00:05:39,440
Speaker 12: Scott Bessett on negotiating with China this weekend.

119
00:05:41,240 --> 00:05:43,880
Speaker 1: We have to make a great deal for America. Are

120
00:05:43,920 --> 00:05:45,520
Speaker 1: you going to be disappointed and becomes.

121
00:05:45,240 --> 00:05:45,880
Speaker 13: Back without a deal.

122
00:05:46,960 --> 00:05:49,320
Speaker 4: No, not at all, because we already made a great deal.

123
00:05:49,920 --> 00:05:54,040
Speaker 4: We're not doing business with China right now. We lost

124
00:05:54,200 --> 00:05:59,279
Speaker 4: we lost one trillion dollars last year with China, one trillion.

125
00:05:59,360 --> 00:06:00,960
Speaker 4: So if you're not gonna to do business with him.

126
00:06:01,000 --> 00:06:03,400
Speaker 4: You're not going to lose one trillion dollars, but we lost.

127
00:06:03,640 --> 00:06:06,160
Speaker 4: I just want I want China to do great. You know,

128
00:06:06,240 --> 00:06:09,400
Speaker 4: I'm very friendly with presidency. I have great respect for

129
00:06:09,520 --> 00:06:13,360
Speaker 4: him and for China. But we can't continue to allow

130
00:06:13,400 --> 00:06:15,520
Speaker 4: them to do what they did when I was president

131
00:06:15,520 --> 00:06:18,000
Speaker 4: that paid hundreds of billions of dollars in tariffs and

132
00:06:18,080 --> 00:06:21,640
Speaker 4: Texas and then Biden screwed it all up. What he

133
00:06:21,680 --> 00:06:24,120
Speaker 4: did to this country between the border and between all

134
00:06:24,120 --> 00:06:27,200
Speaker 4: of the other problems, the wars, everything, what he did

135
00:06:27,240 --> 00:06:30,159
Speaker 4: to this country should never be forgotten. But one of

136
00:06:30,200 --> 00:06:32,120
Speaker 4: the things he did is the trade was so bad

137
00:06:32,160 --> 00:06:35,880
Speaker 4: and so imbalanced. So I think we're going to come

138
00:06:35,880 --> 00:06:38,280
Speaker 4: back with a fair deal for both China and US.

139
00:06:38,320 --> 00:06:40,760
Speaker 14: Have you get investment a number of how low you're

140
00:06:40,800 --> 00:06:41,279
Speaker 14: willing to go?

141
00:06:41,440 --> 00:06:46,440
Speaker 4: Yeah with the number number, But I put out a

142
00:06:46,520 --> 00:06:47,760
Speaker 4: number today eighty percent.

143
00:06:47,839 --> 00:06:49,080
Speaker 1: So we'll see how that all.

144
00:06:48,960 --> 00:06:53,440
Speaker 12: Works the US Anderson and Kiev is warning right now

145
00:06:53,760 --> 00:06:58,800
Speaker 12: about possible profussion, significant attack on Kiev. What's your message

146
00:06:58,800 --> 00:07:01,080
Speaker 12: for PU team?

147
00:07:01,440 --> 00:07:05,560
Speaker 4: I have a message for both parties. Get this war ended.

148
00:07:05,960 --> 00:07:10,920
Speaker 4: We're losing five thousand soldiers a week. Russian and Ukrainian

149
00:07:11,000 --> 00:07:14,560
Speaker 4: soldiers and other people also by the way, and I say,

150
00:07:14,640 --> 00:07:16,440
Speaker 4: get this stupid war finished.

151
00:07:16,920 --> 00:07:19,040
Speaker 1: That's my message for both of them. Thank you very

152
00:07:19,120 --> 00:07:27,760
Speaker 1: much for sing.

153
00:07:23,320 --> 00:07:26,160
Speaker 14: Right up you guys, thank you right out here.

154
00:07:26,360 --> 00:07:33,480
Speaker 4: Thank you.

155
00:07:33,480 --> 00:07:34,520
Speaker 13: You're in the war room.

156
00:07:34,720 --> 00:07:37,080
Speaker 15: It is Friday, May ninth, in the year of Our Lord,

157
00:07:37,160 --> 00:07:41,000
Speaker 15: twenty twenty five. Natalie Winters here a host in the show.

158
00:07:41,400 --> 00:07:43,320
Speaker 15: If we have Mike Howell, I'd love to go to him.

159
00:07:43,320 --> 00:07:45,600
Speaker 13: Do we have him up? We don't have my cow up?

160
00:07:45,640 --> 00:07:49,040
Speaker 15: Then let's roll the cold open that I have for you, guys.

161
00:07:49,120 --> 00:07:53,240
Speaker 15: Democrats are catch this rating ice facilities up in New Jersey.

162
00:07:53,320 --> 00:07:54,320
Speaker 13: Let's get a taste of that.

163
00:08:05,160 --> 00:08:06,360
Speaker 16: The contract.

164
00:08:13,360 --> 00:08:45,480
Speaker 8: Fashion. I'm sorry what happened then.

165
00:08:51,200 --> 00:08:51,800
Speaker 2: Something like that.

166
00:08:52,000 --> 00:08:58,000
Speaker 15: Oh, it's a whole lot of fascist calls. I don't

167
00:08:58,000 --> 00:09:00,680
Speaker 15: know if you could make it out there. The mayor

168
00:09:01,240 --> 00:09:04,320
Speaker 15: of a city in New Jersey, New Jersey's largest city,

169
00:09:04,360 --> 00:09:06,880
Speaker 15: a Democrat who's running for governor. I guess that's how

170
00:09:06,880 --> 00:09:10,960
Speaker 15: you get ahead in democratic primaries nowadays, has actually been arrested.

171
00:09:11,600 --> 00:09:12,880
Speaker 13: But let's not bury the lead.

172
00:09:13,160 --> 00:09:17,600
Speaker 15: Three Democratic members of Congress were also there, attempting to raid,

173
00:09:17,840 --> 00:09:22,040
Speaker 15: break into and breach one of New Jersey's ice facilities

174
00:09:22,040 --> 00:09:24,200
Speaker 15: sort of, I think one of the key nodes in

175
00:09:24,200 --> 00:09:27,160
Speaker 15: one of his President Trump's mass deportation agenda. I see

176
00:09:27,280 --> 00:09:30,360
Speaker 15: Mike Howell on screen, if we can toss to him.

177
00:09:30,400 --> 00:09:32,280
Speaker 13: Don't worry, we'renna get back to the immigration stuff.

178
00:09:32,280 --> 00:09:34,040
Speaker 15: We have a bunch of people joining us with some

179
00:09:34,160 --> 00:09:38,440
Speaker 15: exclusive reporting. But Mike, there is an absolutely insane story.

180
00:09:38,480 --> 00:09:40,520
Speaker 15: I've been seeing it all over Revolver News. I know

181
00:09:40,559 --> 00:09:43,280
Speaker 15: the Daily Mails abouts are starting to cover it. It

182
00:09:43,320 --> 00:09:45,400
Speaker 15: goes to what I think this audience knows you best for,

183
00:09:45,440 --> 00:09:48,680
Speaker 15: which is the weaponization of government having to do with

184
00:09:48,840 --> 00:09:52,719
Speaker 15: I won't get over my skis, but fake journals and

185
00:09:52,800 --> 00:09:58,560
Speaker 15: Netflix documentary just astroturfed evidence trying to bring down a

186
00:09:58,600 --> 00:10:01,720
Speaker 15: company that's probably not an interests of big pharma that

187
00:10:01,840 --> 00:10:04,600
Speaker 15: certainly maybe a little more maha and the orientation. Can

188
00:10:04,640 --> 00:10:06,280
Speaker 15: you walk the audience through and put the article up

189
00:10:06,320 --> 00:10:09,400
Speaker 15: on the screen. But this scandal and I use that

190
00:10:09,440 --> 00:10:11,400
Speaker 15: word and it's full in ten purpose.

191
00:10:13,040 --> 00:10:13,280
Speaker 5: Yeah.

192
00:10:13,320 --> 00:10:16,720
Speaker 17: So the fact pattern here is absolutely wild, and everyone's

193
00:10:16,760 --> 00:10:18,679
Speaker 17: going to be hearing a lot about this case as

194
00:10:18,679 --> 00:10:21,960
Speaker 17: it moves through trial over the coming weeks and maybe longer.

195
00:10:22,280 --> 00:10:24,440
Speaker 17: But what I really want to focus the audience on,

196
00:10:24,679 --> 00:10:27,800
Speaker 17: are the tactics of weaponization, both on the part of

197
00:10:27,800 --> 00:10:31,439
Speaker 17: the FBI and then also the legal theories profered, because

198
00:10:31,480 --> 00:10:34,360
Speaker 17: when you look at that, you see a lot of

199
00:10:34,400 --> 00:10:37,600
Speaker 17: the same ways they went after President Trump and others.

200
00:10:38,120 --> 00:10:41,040
Speaker 17: And I think it's rather unfortunate that this whole thing

201
00:10:41,120 --> 00:10:43,560
Speaker 17: is moving forward as we're looking for a kind of

202
00:10:44,000 --> 00:10:47,280
Speaker 17: change in the direction of DOJ and FBI. You know,

203
00:10:47,360 --> 00:10:52,560
Speaker 17: those large institutions are very hard to kind of you know, remiss,

204
00:10:52,600 --> 00:10:55,840
Speaker 17: to overturn themselves and reverse course. And so when you

205
00:10:55,880 --> 00:10:59,440
Speaker 17: see that kind of inertia, that new political control can

206
00:10:59,600 --> 00:11:02,320
Speaker 17: kind of change the path of these things. When they

207
00:11:02,360 --> 00:11:04,920
Speaker 17: invest so much time and energy, I think it colors

208
00:11:04,960 --> 00:11:08,720
Speaker 17: a lot of the other cases and investigations that we're

209
00:11:08,720 --> 00:11:10,640
Speaker 17: looking for accountability for.

210
00:11:11,160 --> 00:11:12,200
Speaker 5: And this has it all.

211
00:11:12,280 --> 00:11:15,960
Speaker 17: It has the FBI working with Netflix to fabricate evidence,

212
00:11:16,400 --> 00:11:19,160
Speaker 17: and that's just so out of balance, particularly when you

213
00:11:19,200 --> 00:11:23,480
Speaker 17: look at Netflix as a real champion of partisan causes

214
00:11:23,520 --> 00:11:27,520
Speaker 17: and kind of their ways of just directing loads and loads.

215
00:11:27,160 --> 00:11:29,080
Speaker 5: Of money to their favored people.

216
00:11:29,600 --> 00:11:32,320
Speaker 17: And when you look at the FBI, ever its long history,

217
00:11:32,320 --> 00:11:36,679
Speaker 17: they've had such a close relationship with Hollywood, going back

218
00:11:36,720 --> 00:11:39,080
Speaker 17: to the Hoover days, but now in the modern era

219
00:11:39,200 --> 00:11:43,000
Speaker 17: when you see them working with Netflix to shape public opinion,

220
00:11:43,400 --> 00:11:46,200
Speaker 17: and then even in the Trump administration, the fruits of

221
00:11:46,240 --> 00:11:49,760
Speaker 17: that investigation coming to court, you have to wonder when

222
00:11:49,760 --> 00:11:51,640
Speaker 17: we're actually going to start to turn them this thing around.

223
00:11:53,320 --> 00:11:55,640
Speaker 15: Mike going to drill down on the idea of collusion

224
00:11:55,760 --> 00:11:58,040
Speaker 15: with Netflix. I think when I hear that, it draws

225
00:11:58,040 --> 00:12:00,440
Speaker 15: me back to the collusion with social media plans forms

226
00:12:00,480 --> 00:12:03,880
Speaker 15: obviously legacy media, the Washington Post or as they call it,

227
00:12:03,920 --> 00:12:08,080
Speaker 15: what the Langley Bugle, but the details in terms of

228
00:12:08,120 --> 00:12:10,720
Speaker 15: I think there was some facts about when journals were written.

229
00:12:11,559 --> 00:12:15,040
Speaker 15: This essentially was just I mean fabricated out of more

230
00:12:15,120 --> 00:12:18,600
Speaker 15: or less thin air, at least very thin air. Can

231
00:12:18,640 --> 00:12:20,720
Speaker 15: you walk through what that or at least so you

232
00:12:20,760 --> 00:12:23,640
Speaker 15: think that that sort of collusion angle looked like and why,

233
00:12:23,679 --> 00:12:26,280
Speaker 15: frankly anyone watching the show should be scared that you

234
00:12:26,320 --> 00:12:29,280
Speaker 15: could not just have the FBI weaponized against you but

235
00:12:29,400 --> 00:12:33,480
Speaker 15: in conjunction with Netflix. I mean that's astonishing, right.

236
00:12:33,559 --> 00:12:35,880
Speaker 17: So, the biggest piece of evidence that was in this

237
00:12:35,960 --> 00:12:39,800
Speaker 17: case and the basis of a Netflix documentary were journals

238
00:12:39,800 --> 00:12:45,400
Speaker 17: that essentially were post dated and then used to pretend

239
00:12:45,640 --> 00:12:49,000
Speaker 17: like they were written at the time of the controversy,

240
00:12:49,080 --> 00:12:51,680
Speaker 17: and Netflix and the FBI were working together at that

241
00:12:51,800 --> 00:12:55,319
Speaker 17: point in time, and so that should basically set off

242
00:12:55,320 --> 00:12:59,040
Speaker 17: alarm bells everywhere. But nonetheless, the Department of Justice is

243
00:12:59,120 --> 00:13:03,000
Speaker 17: proceeding even though that key element is no longer on

244
00:13:03,040 --> 00:13:06,240
Speaker 17: the table and trying to basically power through it. You

245
00:13:06,360 --> 00:13:09,080
Speaker 17: had a prosecutor who was involved in this case drop

246
00:13:09,160 --> 00:13:11,480
Speaker 17: off just a few weeks ago, and.

247
00:13:11,679 --> 00:13:12,880
Speaker 5: The thing stinks.

248
00:13:13,080 --> 00:13:16,600
Speaker 17: And what I'm smelling the most is that you just

249
00:13:16,640 --> 00:13:19,400
Speaker 17: have an Apartment of Justice that doesn't like dropping cases,

250
00:13:19,520 --> 00:13:23,520
Speaker 17: that institutionally doesn't want to admit it was wrong, and

251
00:13:23,679 --> 00:13:26,360
Speaker 17: is continuing ahead anyways when the biggest part of the

252
00:13:26,360 --> 00:13:29,720
Speaker 17: whole thing was proven not only to be bunk, but

253
00:13:29,760 --> 00:13:33,040
Speaker 17: potentially even criminal if not. You know, civilly is certainly

254
00:13:33,160 --> 00:13:36,559
Speaker 17: liable as it relates to Netflix coordinating with the FBI.

255
00:13:37,280 --> 00:13:40,320
Speaker 17: And so when we look at other kind of weaponized

256
00:13:40,360 --> 00:13:43,520
Speaker 17: cases that they can't stop this one with such clear

257
00:13:43,640 --> 00:13:46,679
Speaker 17: misconduct and abuse, what does that mean for turning around

258
00:13:46,720 --> 00:13:49,319
Speaker 17: these agencies in the future.

259
00:13:49,400 --> 00:13:52,040
Speaker 5: And you have the FBI still standing by this.

260
00:13:52,400 --> 00:13:56,240
Speaker 17: They sent twenty agents to the court case the other day,

261
00:13:56,679 --> 00:13:58,640
Speaker 17: and it's like at a time where we're trying to.

262
00:13:58,559 --> 00:14:00,480
Speaker 15: Refink, I want to stop you there because I think

263
00:14:00,480 --> 00:14:03,160
Speaker 15: that's another very interesting detail and we've got to jump

264
00:14:03,200 --> 00:14:05,760
Speaker 15: to break. But I'll hold you through that. And I

265
00:14:05,760 --> 00:14:07,800
Speaker 15: think that the fact that they're still pursuing this case,

266
00:14:07,960 --> 00:14:09,440
Speaker 15: it speaks to whether you want to call it the

267
00:14:09,440 --> 00:14:12,160
Speaker 15: deep state, the in your face state, but the idea

268
00:14:12,240 --> 00:14:15,480
Speaker 15: the DOJ should be something that is uniquely controlled administered

269
00:14:15,480 --> 00:14:18,440
Speaker 15: by President Trump, not pursuing the politically motivated charges of

270
00:14:18,520 --> 00:14:21,600
Speaker 15: you know, the Boden DOJ, or these unelected bureaucrats hang

271
00:14:21,680 --> 00:14:24,000
Speaker 15: with us, with us through the break mic and war imposse.

272
00:14:24,160 --> 00:14:25,560
Speaker 15: In the meantime, you got to make sure you're checking

273
00:14:25,560 --> 00:14:28,440
Speaker 15: out Birch Gold dot com, slash ban and or texting

274
00:14:28,480 --> 00:14:31,320
Speaker 15: ban in two nine eight nine eight nine eight. If

275
00:14:31,360 --> 00:14:34,920
Speaker 15: Democrats are willing to raid ICE facilities while they're on

276
00:14:35,000 --> 00:14:37,480
Speaker 15: camera and go to jail, you think they care about

277
00:14:37,480 --> 00:14:42,440
Speaker 15: your financial future, your fiscal light future, You think they care.

278
00:14:43,680 --> 00:14:45,400
Speaker 13: I don't think they do it. So my gold has

279
00:14:45,480 --> 00:14:47,960
Speaker 13: always been a hedge, probably will continue to be.

280
00:14:47,960 --> 00:14:49,560
Speaker 18: It's birch goal dot com, slash ban.

281
00:14:49,560 --> 00:14:53,920
Speaker 15: And Mike Howell some bombshell stories about DEI at UCLA,

282
00:14:54,080 --> 00:14:56,360
Speaker 15: or should I say the failed medical school.

283
00:14:56,400 --> 00:14:58,160
Speaker 13: It's an actual quote at UCLA.

284
00:14:58,240 --> 00:15:01,920
Speaker 14: We'll be right back use your host, Stephen K.

285
00:15:07,480 --> 00:15:10,360
Speaker 15: Welcome back to the war room, where you're probably outraged

286
00:15:10,400 --> 00:15:13,280
Speaker 15: that it's this kind of activity or tax dollars are

287
00:15:13,360 --> 00:15:16,440
Speaker 15: funding over at the FBI. Nevertheless, if you need some help,

288
00:15:16,440 --> 00:15:18,680
Speaker 15: make sure you're checking out Tax Network USA. That's t

289
00:15:18,920 --> 00:15:21,280
Speaker 15: NUSA dot com slash Bannon, or you can give a

290
00:15:21,280 --> 00:15:24,000
Speaker 15: call to one eight hundred nine to five eight one

291
00:15:24,000 --> 00:15:26,360
Speaker 15: thousand for a free consultation.

292
00:15:27,880 --> 00:15:29,760
Speaker 13: Mike Howell, I'm glad you're still with us.

293
00:15:29,800 --> 00:15:32,400
Speaker 15: I think the audience is enraged by what the FBI

294
00:15:32,480 --> 00:15:33,760
Speaker 15: has been doing for now.

295
00:15:33,800 --> 00:15:34,560
Speaker 18: It seems like a.

296
00:15:34,600 --> 00:15:36,000
Speaker 13: Very very long time.

297
00:15:36,120 --> 00:15:37,960
Speaker 15: I want to get in though, to one very weird

298
00:15:38,000 --> 00:15:41,120
Speaker 15: detail about this case. You're telling me that dozens of

299
00:15:41,320 --> 00:15:45,840
Speaker 15: FBI agents were, you know, posted up around the ongoing trial.

300
00:15:45,920 --> 00:15:49,320
Speaker 15: I don't necessarily think that's a normal thing to do.

301
00:15:49,440 --> 00:15:50,680
Speaker 13: Sounds quite anomalist to me.

302
00:15:50,720 --> 00:15:52,600
Speaker 18: Can you walk the audience through that detail too?

303
00:15:53,480 --> 00:15:56,560
Speaker 17: Yeah, the reports I saw said twenty FBI agents shut

304
00:15:56,640 --> 00:15:58,720
Speaker 17: up for a dav the trial. I don't know if

305
00:15:58,720 --> 00:16:00,840
Speaker 17: there's not many there every single day, but that tells

306
00:16:00,840 --> 00:16:03,200
Speaker 17: you all you need to know. It's an absolute show

307
00:16:03,200 --> 00:16:06,040
Speaker 17: of force. It's meant to show kind of a unified front.

308
00:16:06,120 --> 00:16:08,640
Speaker 17: I'm sure they had some invented reason for each of

309
00:16:08,640 --> 00:16:09,200
Speaker 17: them to.

310
00:16:09,160 --> 00:16:09,960
Speaker 5: Be there or not.

311
00:16:10,200 --> 00:16:12,840
Speaker 17: But we all know the court room kind of presentation

312
00:16:12,960 --> 00:16:15,840
Speaker 17: style and drama that goes into these things.

313
00:16:16,200 --> 00:16:18,680
Speaker 5: And keep in mind, this is a non violent case.

314
00:16:19,120 --> 00:16:21,800
Speaker 17: We have an FBI that I was told was getting,

315
00:16:21,880 --> 00:16:24,480
Speaker 17: you know, re orienting to fighting crime and getting the

316
00:16:24,520 --> 00:16:27,640
Speaker 17: bad guys and the gang bangers off the street. And

317
00:16:27,760 --> 00:16:31,040
Speaker 17: you have twenty FBI agents for a case that hinges

318
00:16:31,520 --> 00:16:34,800
Speaker 17: on one charge of a never really used before forced

319
00:16:34,880 --> 00:16:38,200
Speaker 17: label theory. And so it's just bizarre to me. It

320
00:16:38,240 --> 00:16:40,320
Speaker 17: shows and it looks like a double down. It just

321
00:16:40,320 --> 00:16:42,840
Speaker 17: looks like the government says, we put this much work

322
00:16:42,880 --> 00:16:45,840
Speaker 17: into the case, regardless of all the misconduct that is there.

323
00:16:45,840 --> 00:16:47,920
Speaker 17: We're not dropping it because it makes the government look

324
00:16:47,960 --> 00:16:50,040
Speaker 17: bad to drop a case. So we're going to throw

325
00:16:50,120 --> 00:16:51,600
Speaker 17: all that we have on it, and if we don't

326
00:16:51,640 --> 00:16:54,000
Speaker 17: have good evidence to go off of, then we're just

327
00:16:54,040 --> 00:16:55,640
Speaker 17: going to do the show of the force. It's the

328
00:16:55,640 --> 00:16:57,880
Speaker 17: old saying the law you have the facts found the

329
00:16:57,880 --> 00:16:59,840
Speaker 17: facts you don't have those. If you've got a table,

330
00:16:59,840 --> 00:17:02,040
Speaker 17: then just pound the table, so it's them patting the

331
00:17:02,040 --> 00:17:04,679
Speaker 17: table and trying to create the impression that the government

332
00:17:04,720 --> 00:17:06,280
Speaker 17: stands by all this misconduct.

333
00:17:08,119 --> 00:17:10,080
Speaker 13: Well, I can think of a litany of other.

334
00:17:10,000 --> 00:17:13,640
Speaker 15: Cases or issues that the DOJ should be allocating their

335
00:17:13,680 --> 00:17:17,560
Speaker 15: resources to, certainly the FBI, the internal struggle sessions that

336
00:17:17,600 --> 00:17:19,840
Speaker 15: are needed aside or maybe just fire these people. I

337
00:17:19,840 --> 00:17:23,919
Speaker 15: think they're superfluous in their origins to begin with, but

338
00:17:24,000 --> 00:17:25,359
Speaker 15: I don't know, like we always say in the war,

339
00:17:25,440 --> 00:17:27,840
Speaker 15: and maybe give us some names of the people who

340
00:17:27,920 --> 00:17:31,320
Speaker 15: what was that orchestrated the invasion at the southern border,

341
00:17:31,359 --> 00:17:34,160
Speaker 15: people who are responsible for the really whole of society,

342
00:17:34,200 --> 00:17:37,960
Speaker 15: whole of government approach to government weaponization, not going after

343
00:17:38,080 --> 00:17:39,880
Speaker 15: things like this last question.

344
00:17:39,720 --> 00:17:43,720
Speaker 13: Before we let you go, what should the I.

345
00:17:43,600 --> 00:17:46,640
Speaker 15: Think warning that our audience should discern or glean from

346
00:17:46,680 --> 00:17:49,000
Speaker 15: this case be in other words, that the FBI can

347
00:17:49,080 --> 00:17:52,199
Speaker 15: essentially call up some Hollywood studio, have a make a

348
00:17:52,280 --> 00:17:55,840
Speaker 15: more or less AstroTurf documentary about you, and somehow you

349
00:17:55,840 --> 00:17:57,920
Speaker 15: see yourself on the stand on trial, and a bunch

350
00:17:57,960 --> 00:18:00,080
Speaker 15: of FBI agents are going to be swarming around am

351
00:18:00,119 --> 00:18:02,000
Speaker 15: I is that too reductive or is that what we're

352
00:18:02,040 --> 00:18:02,600
Speaker 15: talking about.

353
00:18:03,200 --> 00:18:04,920
Speaker 5: No, that's exactly what we're talking about.

354
00:18:05,000 --> 00:18:06,800
Speaker 17: I mean, it used to work for the FBI back

355
00:18:06,800 --> 00:18:08,760
Speaker 17: in like the fifties and sixties, putting out the g

356
00:18:08,920 --> 00:18:11,720
Speaker 17: men and trying to up public perceptions of them.

357
00:18:11,920 --> 00:18:13,760
Speaker 5: But when you have a weaponized FBI.

358
00:18:13,520 --> 00:18:16,560
Speaker 17: That's been populated by kind of ideologues, and in the

359
00:18:16,600 --> 00:18:19,919
Speaker 17: twenty twenty five, they're working with Netflix basically as an

360
00:18:19,960 --> 00:18:22,240
Speaker 17: outgrowth of the me too movement wanting to get some

361
00:18:22,600 --> 00:18:24,920
Speaker 17: big case that looks like something related to me too,

362
00:18:25,320 --> 00:18:27,840
Speaker 17: and they're just working with the furthest left and people

363
00:18:27,840 --> 00:18:30,800
Speaker 17: with an ideological passion. They should never be working with

364
00:18:30,840 --> 00:18:35,200
Speaker 17: the Netflix unless they're investigating Netflix. And you just see

365
00:18:35,280 --> 00:18:39,439
Speaker 17: the marriage of the really broken down FBI and corporate

366
00:18:39,480 --> 00:18:42,119
Speaker 17: elites here and it's just a crazy fact pattern. But

367
00:18:42,119 --> 00:18:45,080
Speaker 17: if we can't stop these fact patterns against going people

368
00:18:45,080 --> 00:18:48,320
Speaker 17: who aren't traditionally viewed as conservatives, how do we think

369
00:18:48,359 --> 00:18:50,040
Speaker 17: that we're going to stop the FBI from doing this

370
00:18:50,080 --> 00:18:51,600
Speaker 17: against everyday Americans and.

371
00:18:51,600 --> 00:18:52,920
Speaker 5: Other political opponents.

372
00:18:52,960 --> 00:18:55,320
Speaker 17: And so, if we're going to stand against weaponization, we

373
00:18:55,359 --> 00:18:59,040
Speaker 17: need to stand against weaponization of these institutions against everyone,

374
00:18:59,160 --> 00:19:03,360
Speaker 17: regardless of the underlying behavior, and it worries me if

375
00:19:03,640 --> 00:19:05,840
Speaker 17: they can't political control, can't put a stop to this

376
00:19:05,920 --> 00:19:08,360
Speaker 17: sort of mis conduct because they don't want to back

377
00:19:08,400 --> 00:19:10,800
Speaker 17: away from the trial. What's that mean going forward for

378
00:19:10,840 --> 00:19:13,040
Speaker 17: accountability and reform? And I don't think it's good?

379
00:19:15,240 --> 00:19:16,400
Speaker 13: Very valid points, Mike.

380
00:19:16,440 --> 00:19:18,320
Speaker 15: How if people want to follow you, keep up to

381
00:19:18,400 --> 00:19:20,040
Speaker 15: date with everything you're working on, where can they go

382
00:19:20,080 --> 00:19:20,439
Speaker 15: to do that?

383
00:19:21,400 --> 00:19:21,640
Speaker 19: Yeah?

384
00:19:21,680 --> 00:19:24,160
Speaker 17: So I'm at m hall tweets on X and there

385
00:19:24,160 --> 00:19:26,040
Speaker 17: we link to all of our other profiles. We have

386
00:19:26,040 --> 00:19:28,760
Speaker 17: a good time on X get an info and dots

387
00:19:28,800 --> 00:19:31,600
Speaker 17: straight to the people right in their veins.

388
00:19:32,480 --> 00:19:34,120
Speaker 13: Thank you, sir, we'll have you back on soon.

389
00:19:35,000 --> 00:19:36,960
Speaker 5: Thank you.

390
00:19:38,040 --> 00:19:42,280
Speaker 15: Honored to be joined now by Aaron Siberium, someone who

391
00:19:42,320 --> 00:19:45,480
Speaker 15: has been posted up at the Free Beacon all over

392
00:19:45,640 --> 00:19:48,680
Speaker 15: the racial discrimination that has been going on at UCLA,

393
00:19:48,800 --> 00:19:52,320
Speaker 15: particularly their medical school. One of the quotes that jumped

394
00:19:52,320 --> 00:19:54,359
Speaker 15: out at me from your most recent piece, calling it

395
00:19:54,440 --> 00:19:59,480
Speaker 15: a quote failed medical school. My dad actually did undergrad

396
00:19:59,560 --> 00:20:01,960
Speaker 15: there and is that medical school very well? So I'm

397
00:20:01,960 --> 00:20:04,120
Speaker 15: sure he'd be very disheartened to hear that. But when

398
00:20:04,119 --> 00:20:06,040
Speaker 15: you look at the numbers I guess another figure that

399
00:20:06,119 --> 00:20:09,439
Speaker 15: jumped out fifty percent or so of the new people

400
00:20:09,480 --> 00:20:11,920
Speaker 15: who are sort of I would assume DEI from ative action.

401
00:20:12,000 --> 00:20:16,359
Speaker 15: Take your pick who there are failing basic medical competency tests.

402
00:20:16,400 --> 00:20:17,840
Speaker 15: I know a lot of your reporting has led to

403
00:20:17,840 --> 00:20:20,760
Speaker 15: now at Trump administration probe and lawsuits, but can you

404
00:20:20,800 --> 00:20:23,280
Speaker 15: sort of walk the audience through what your team, what

405
00:20:23,359 --> 00:20:26,600
Speaker 15: you've uncovered that's been going on at UCLA.

406
00:20:29,040 --> 00:20:30,920
Speaker 14: Sure, thank you for having me.

407
00:20:32,520 --> 00:20:34,960
Speaker 20: There's really the sort of I would say, two or

408
00:20:34,960 --> 00:20:38,680
Speaker 20: three pieces of kind of convergent evidence that the school

409
00:20:39,000 --> 00:20:43,320
Speaker 20: is discriminating based on race in admissions. The first is

410
00:20:43,359 --> 00:20:46,800
Speaker 20: the graphic you just showed and kind of the data

411
00:20:46,400 --> 00:20:52,320
Speaker 20: it represents. You see that around the same time that

412
00:20:52,400 --> 00:20:56,280
Speaker 20: the medical school got a new dean of admissions and

413
00:20:56,359 --> 00:20:59,879
Speaker 20: allegedly started doing all this affirmative action, there is a

414
00:21:00,400 --> 00:21:04,080
Speaker 20: market increase in the number of students failing these standardized

415
00:21:04,119 --> 00:21:07,119
Speaker 20: tests known as shelf exams. These are supposed to be

416
00:21:07,200 --> 00:21:10,320
Speaker 20: very basic exams. You only fail them if you score

417
00:21:10,359 --> 00:21:15,040
Speaker 20: in the bottom five percent of all test takers nationally,

418
00:21:15,080 --> 00:21:18,000
Speaker 20: so it's not really easy to fail these exams. And

419
00:21:18,119 --> 00:21:22,920
Speaker 20: yet at UCLA you saw from like twenty twenty to

420
00:21:22,960 --> 00:21:26,240
Speaker 20: twenty twenty three, a huge increase in the number of

421
00:21:26,240 --> 00:21:30,280
Speaker 20: students failing these tests, and in certain cohorts of people

422
00:21:30,280 --> 00:21:34,360
Speaker 20: on their clinical rotations, you would occasionally say failure rates

423
00:21:34,680 --> 00:21:38,920
Speaker 20: as high as fifty percent, which was not happening prior

424
00:21:38,960 --> 00:21:41,520
Speaker 20: to twenty twenty. Now, of course, the other kind of

425
00:21:41,520 --> 00:21:44,800
Speaker 20: important piece of evidence here is that we have first

426
00:21:44,840 --> 00:21:51,400
Speaker 20: hand accounts of professors at UCLA, including current informer.

427
00:21:52,600 --> 00:21:54,600
Speaker 14: Admissions officers, who.

428
00:21:54,600 --> 00:22:01,160
Speaker 20: Described a pattern of kind of racially charged comments by

429
00:22:01,520 --> 00:22:05,320
Speaker 20: the Dean of Admissions, Jennifer Lucero, and describe how she

430
00:22:05,400 --> 00:22:11,200
Speaker 20: would effectively shut down criticism of minority candidates with subpar

431
00:22:11,800 --> 00:22:16,080
Speaker 20: grades and MCATs and would sort of push through people

432
00:22:16,240 --> 00:22:20,080
Speaker 20: perceive to be disadvantaged some way, usually based on their race,

433
00:22:21,200 --> 00:22:25,159
Speaker 20: despite the fact that they really did not have the

434
00:22:25,240 --> 00:22:29,199
Speaker 20: academic qualifications that you would expect most students matriculating at

435
00:22:29,280 --> 00:22:32,879
Speaker 20: UCLA Medical School to have. And then there's sort of

436
00:22:32,880 --> 00:22:34,960
Speaker 20: a third piece of evidence that was just I think

437
00:22:35,040 --> 00:22:38,879
Speaker 20: uncovered in this lawsuit, and that is that when you

438
00:22:38,920 --> 00:22:45,880
Speaker 20: look at the share of matriculence of a given race,

439
00:22:46,280 --> 00:22:49,600
Speaker 20: so like you compare the percentage of matriculent to their

440
00:22:49,600 --> 00:22:53,720
Speaker 20: share of the applicant pool. You see that, for example,

441
00:22:54,640 --> 00:22:58,919
Speaker 20: in twenty twenty three, about seven to eight percent of

442
00:22:59,440 --> 00:23:06,479
Speaker 20: UCLA Medical Schools applicants were black, but fourteen to fifteen

443
00:23:06,480 --> 00:23:12,879
Speaker 20: percent of UCLA's incoming class was black, right, so the

444
00:23:13,320 --> 00:23:15,920
Speaker 20: share of the class, so it almost double the share

445
00:23:15,960 --> 00:23:20,800
Speaker 20: of the applicant pool. And given just what we know

446
00:23:21,200 --> 00:23:24,600
Speaker 20: kind of background knowledge about you know, the racial breakdown

447
00:23:24,640 --> 00:23:28,359
Speaker 20: of you know, grades and especially MCATs by different racial groups,

448
00:23:28,400 --> 00:23:34,240
Speaker 20: it's just really surprising an extraordinary to argue that you

449
00:23:34,280 --> 00:23:38,640
Speaker 20: could get that kind of breakdown without some kind of

450
00:23:39,119 --> 00:23:41,480
Speaker 20: racial preferences. And then I guess sort of the final

451
00:23:41,520 --> 00:23:44,000
Speaker 20: piece of evidence I'll give you is that after this

452
00:23:44,119 --> 00:23:47,359
Speaker 20: new DNA of admissions took over, you saw the share

453
00:23:47,480 --> 00:23:50,080
Speaker 20: and this is this one is this is publicly available data.

454
00:23:50,320 --> 00:23:53,280
Speaker 20: You saw that the share of Asian matriculence at UCLA

455
00:23:53,480 --> 00:23:58,040
Speaker 20: like plummeted it, you know, reduces by about a third

456
00:23:58,240 --> 00:24:03,359
Speaker 20: in three years. And that really is a pretty astonishing drop.

457
00:24:03,480 --> 00:24:06,399
Speaker 20: And it's not a drop that you see at just

458
00:24:06,440 --> 00:24:09,439
Speaker 20: about any other uc medical school. So there's kind of

459
00:24:09,480 --> 00:24:11,960
Speaker 20: all of these there's like at least four different pieces

460
00:24:12,000 --> 00:24:16,879
Speaker 20: of conversion evidence that point to UCLA discriminating based on race,

461
00:24:17,240 --> 00:24:20,200
Speaker 20: And now there's this lawsuit that will likely uncover even

462
00:24:20,240 --> 00:24:27,000
Speaker 20: more data and even more whistleblower accounts, and so pretty

463
00:24:27,000 --> 00:24:29,000
Speaker 20: soon I think we'll have an even better picture of

464
00:24:29,080 --> 00:24:32,280
Speaker 20: exactly how and to what extent these preferences were used.

465
00:24:34,000 --> 00:24:36,320
Speaker 13: I think they call that a bring in the receipts.

466
00:24:36,320 --> 00:24:38,639
Speaker 15: But like you said, that's all, you know, mainly open source,

467
00:24:38,680 --> 00:24:41,800
Speaker 15: public source data. Can you walk the audience through what maybe,

468
00:24:41,840 --> 00:24:44,400
Speaker 15: like the expected timeline of this lawsuit is, or how

469
00:24:44,440 --> 00:24:48,200
Speaker 15: the Trump administration probe fits into that, or just what

470
00:24:48,240 --> 00:24:50,440
Speaker 15: you think they will you know, potentially find or the

471
00:24:50,480 --> 00:24:51,479
Speaker 15: outcome of it could be.

472
00:24:53,000 --> 00:24:55,399
Speaker 20: Yes, I don't really know what the timeline on the

473
00:24:55,520 --> 00:24:59,240
Speaker 20: lawsuit will be. I imagine UCLA will file emotion to dismiss

474
00:24:59,320 --> 00:25:03,320
Speaker 20: and I imagine that we'll get rejected because I think there

475
00:25:03,400 --> 00:25:05,520
Speaker 20: is a fair amount of evidence here, although you never know.

476
00:25:06,359 --> 00:25:11,240
Speaker 20: In California courts are obviously quite liberal. The Trump administration's investigation,

477
00:25:11,720 --> 00:25:16,880
Speaker 20: which was launched a little over a month ago, that one,

478
00:25:17,040 --> 00:25:20,760
Speaker 20: UCLA has said they're complying with it, although you know,

479
00:25:20,840 --> 00:25:23,080
Speaker 20: one expects that they will do everything in their power

480
00:25:23,160 --> 00:25:28,000
Speaker 20: to uh, you know, spin the findings and spin the

481
00:25:28,080 --> 00:25:33,520
Speaker 20: data in ways favorable to UCLA. But I think one

482
00:25:33,520 --> 00:25:37,240
Speaker 20: thing that's important to note is that after the administration

483
00:25:37,520 --> 00:25:41,480
Speaker 20: announced this probe and UCLA said, oh, yeah, you know,

484
00:25:41,520 --> 00:25:44,280
Speaker 20: we'll comply with we'll we'll cooperate with the inutiation, you'd

485
00:25:44,320 --> 00:25:48,159
Speaker 20: sort of think that they would stop putting things in

486
00:25:48,200 --> 00:25:51,119
Speaker 20: writing that could be used against them in litigation.

487
00:25:51,840 --> 00:25:53,200
Speaker 14: Well, actually that's not what they did.

488
00:25:53,480 --> 00:25:55,320
Speaker 16: What they did was they.

489
00:25:55,200 --> 00:25:57,640
Speaker 20: Sent out a memo to all second and third year

490
00:25:57,680 --> 00:26:01,399
Speaker 20: medical students saying that they were going to use racial

491
00:26:01,400 --> 00:26:06,160
Speaker 20: preferences when constructing the admissions committee itself. So when they

492
00:26:06,520 --> 00:26:09,280
Speaker 20: assign students to be on the committee, there's usually about

493
00:26:09,320 --> 00:26:13,679
Speaker 20: like five student representatives on the ambitions committee. They explicitly

494
00:26:13,760 --> 00:26:17,560
Speaker 20: said that one of their guiding principles was that they

495
00:26:17,840 --> 00:26:23,879
Speaker 20: had to ensure adequate representation of quote, BIPOC and LGBT students. Right,

496
00:26:24,240 --> 00:26:25,040
Speaker 20: So they put.

497
00:26:24,920 --> 00:26:27,080
Speaker 15: This, They're going to hold you there, I have to jump,

498
00:26:27,160 --> 00:26:29,800
Speaker 15: you have to do to break, but if you can

499
00:26:29,840 --> 00:26:32,280
Speaker 15: hold through, we'll pause you there. I'm sure the audience

500
00:26:32,320 --> 00:26:37,640
Speaker 15: they're super outraged, as am I. I mean, obviously diive

501
00:26:37,640 --> 00:26:40,040
Speaker 15: hearn of action is bad, but especially when it comes

502
00:26:40,160 --> 00:26:42,080
Speaker 15: not just to the hard scientists, but to the person

503
00:26:42,080 --> 00:26:44,399
Speaker 15: who's going to be the doctor sitting across from you

504
00:26:44,400 --> 00:26:44,800
Speaker 15: in the room.

505
00:26:44,840 --> 00:26:45,920
Speaker 13: I don't want that person to.

506
00:26:45,880 --> 00:26:51,320
Speaker 15: Be failing fifty percent of the time on basic medical competency.

507
00:26:50,640 --> 00:26:53,800
Speaker 13: Testing while they're doing rounds. No, thank you.

508
00:26:53,880 --> 00:26:57,200
Speaker 15: Will be joined again by Aaron after this break, Briando Morello,

509
00:26:57,640 --> 00:26:59,360
Speaker 15: A heck a lot more or room.

510
00:27:00,000 --> 00:27:01,760
Speaker 16: Here's your whole even.

511
00:27:08,359 --> 00:27:10,320
Speaker 15: Welcome back to the war room where you got to

512
00:27:10,359 --> 00:27:13,119
Speaker 15: be checking out virtu goal dot com, slash Bannon or

513
00:27:13,160 --> 00:27:16,200
Speaker 15: texting ban into nine eight nine eight nine eight, getting

514
00:27:16,240 --> 00:27:20,240
Speaker 15: the latest installment the End of the Dollar Empire. You

515
00:27:20,240 --> 00:27:23,000
Speaker 15: got to print out the book, give Philip Patrick a call,

516
00:27:23,560 --> 00:27:25,720
Speaker 15: talk to the team. They love talking to you the

517
00:27:25,760 --> 00:27:30,080
Speaker 15: best audience. I'm not biased, Aaron. I think you're still

518
00:27:30,119 --> 00:27:31,840
Speaker 15: with us. I got a few more questions for you.

519
00:27:31,920 --> 00:27:33,720
Speaker 13: It's I think an interesting parallel.

520
00:27:33,760 --> 00:27:35,840
Speaker 15: It's almost I think these universities are sort of a

521
00:27:35,840 --> 00:27:39,560
Speaker 15: microcosm of what we've seen happen at the federal level,

522
00:27:39,560 --> 00:27:42,000
Speaker 15: where you sort of have these unelected bureaucrats, which I

523
00:27:42,000 --> 00:27:46,000
Speaker 15: would sort of compare to the administrative or administration you know,

524
00:27:46,080 --> 00:27:50,119
Speaker 15: offices that then sort of take over or hijack these schools. Right,

525
00:27:50,119 --> 00:27:52,000
Speaker 15: They're not the professors, they're not the people who are

526
00:27:52,000 --> 00:27:56,159
Speaker 15: necessarily qualified to be teaching medicine or anything remotely resembling

527
00:27:56,160 --> 00:27:59,720
Speaker 15: that field. But they're able to really, i mean, circumvent,

528
00:27:59,800 --> 00:28:04,320
Speaker 15: if just recreate, invert what these institutions have become from

529
00:28:04,400 --> 00:28:08,159
Speaker 15: the choke point, right, that is admitting students. I'm just curious,

530
00:28:08,200 --> 00:28:10,719
Speaker 15: more broadly from your reporting, whether it's here at Harvard

531
00:28:10,800 --> 00:28:12,560
Speaker 15: or a lot of these schools that are obvious now

532
00:28:12,560 --> 00:28:16,000
Speaker 15: in the cross hairs over federal funding. Is it sort

533
00:28:16,040 --> 00:28:19,560
Speaker 15: of a pattern where a lot of this radicalism, especially

534
00:28:19,640 --> 00:28:22,920
Speaker 15: the DEI stuff, sort of starts at the administrative kind

535
00:28:22,920 --> 00:28:25,800
Speaker 15: of HR department level, and there's sort of a weird

536
00:28:25,840 --> 00:28:29,240
Speaker 15: interplayer pushback with some of the professors or students on campus.

537
00:28:29,359 --> 00:28:32,439
Speaker 15: Or what's the typical way that these radical policies get

538
00:28:32,520 --> 00:28:35,640
Speaker 15: rolled out from your reporting, Yeah.

539
00:28:35,359 --> 00:28:38,680
Speaker 20: So that's definitely one route by which it happens. And

540
00:28:38,680 --> 00:28:44,240
Speaker 20: I would say that generally the administrators are a larger

541
00:28:44,640 --> 00:28:49,360
Speaker 20: and more important driver of the DEI stuff than the faculty. Now,

542
00:28:49,640 --> 00:28:52,520
Speaker 20: I would caveat that it seems to vary quite a

543
00:28:52,520 --> 00:28:58,240
Speaker 20: bit by school, because the faculty, well, and also the schools.

544
00:28:58,240 --> 00:29:00,880
Speaker 20: I think the faculty are very against the Trump administration's

545
00:29:00,960 --> 00:29:04,240
Speaker 20: efforts to you know, use federal funding to kind of

546
00:29:04,280 --> 00:29:06,560
Speaker 20: pressure schools and to making concessions.

547
00:29:06,720 --> 00:29:07,680
Speaker 14: They're all against that.

548
00:29:07,960 --> 00:29:10,680
Speaker 20: And in particular at places like Columbia that have these

549
00:29:10,720 --> 00:29:16,960
Speaker 20: kind of institutionalized bastions of you know, Middle Eastern studies

550
00:29:17,040 --> 00:29:22,280
Speaker 20: or certain other kinds of activist scholar activist programs there,

551
00:29:22,400 --> 00:29:25,920
Speaker 20: you do see the faculty playing a more important role,

552
00:29:27,880 --> 00:29:30,840
Speaker 20: you know, as far as the DEI stuff goes. In general, though,

553
00:29:31,040 --> 00:29:34,200
Speaker 20: I would say that especially the kind of race discrimination,

554
00:29:34,600 --> 00:29:39,640
Speaker 20: it tends to happen in bureaucracies. It tends to happen

555
00:29:39,720 --> 00:29:42,320
Speaker 20: in kind of big places where there's an incentive to

556
00:29:42,400 --> 00:29:47,680
Speaker 20: focus on legible metrics. Right, It's just being counting is

557
00:29:47,720 --> 00:29:51,520
Speaker 20: just very easy for bureaucracies to do, right, That's something

558
00:29:51,560 --> 00:29:54,200
Speaker 20: they're good at, that's something they can measure, and I

559
00:29:54,200 --> 00:29:59,160
Speaker 20: think in some ways, just because it's kind of convenient, frankly,

560
00:30:00,840 --> 00:30:06,040
Speaker 20: a lot of these bureaucracies end up defining diversity in

561
00:30:06,240 --> 00:30:12,000
Speaker 20: very outcome oriented racialist terms because that's just kind of

562
00:30:12,040 --> 00:30:16,520
Speaker 20: easy to administer. That's kind of my theory of the case.

563
00:30:19,040 --> 00:30:21,040
Speaker 15: Erin thank you so much for joining us, and really

564
00:30:21,080 --> 00:30:22,680
Speaker 15: the reporting that you've done I think has laid the

565
00:30:22,680 --> 00:30:25,640
Speaker 15: groundwork for a lot of this, whether it's the probes

566
00:30:25,680 --> 00:30:28,560
Speaker 15: the lawsuits. I think everyone who ever has to see

567
00:30:28,560 --> 00:30:30,720
Speaker 15: a doctor should be saying thank you, because I don't

568
00:30:30,720 --> 00:30:32,680
Speaker 15: know about you. I want my doctors to be competent

569
00:30:32,760 --> 00:30:34,840
Speaker 15: and not trained in I don't know what the heck

570
00:30:34,880 --> 00:30:38,880
Speaker 15: they're training them, they're di CRT whatever. Aaron, if people

571
00:30:38,880 --> 00:30:40,840
Speaker 15: want to follow you stay up today with everything that

572
00:30:40,880 --> 00:30:42,600
Speaker 15: you're working on in writing, where can they go to

573
00:30:42,640 --> 00:30:42,800
Speaker 15: do that?

574
00:30:44,400 --> 00:30:47,680
Speaker 20: I'm on Twitter at Aaron Sabarium or you could check

575
00:30:47,720 --> 00:30:51,120
Speaker 20: out just my author page at the freebeecond dot com.

576
00:30:51,400 --> 00:30:57,120
Speaker 18: Thank you so much for joining us. Thank you, I

577
00:30:57,240 --> 00:30:57,720
Speaker 18: believe Do.

578
00:30:57,720 --> 00:30:59,120
Speaker 13: We have Brionna Morello up.

579
00:31:00,160 --> 00:31:03,440
Speaker 15: Then we're going to go to taij Gil, the One

580
00:31:03,600 --> 00:31:06,640
Speaker 15: and Only taj We're going to get into the coffee stuff.

581
00:31:07,040 --> 00:31:09,080
Speaker 15: But before that, there seems to be every day more

582
00:31:09,080 --> 00:31:11,440
Speaker 15: and more breaking news about what's going on between India

583
00:31:11,480 --> 00:31:14,640
Speaker 15: and Pakistan. India I think giving a new trade dealer

584
00:31:14,760 --> 00:31:16,760
Speaker 15: something to President Trump today. It seems like some of

585
00:31:16,760 --> 00:31:20,080
Speaker 15: the jets that Pakistan has been using to attack India

586
00:31:20,360 --> 00:31:23,200
Speaker 15: or Chinese made. They have links to the Chinese Communist Party,

587
00:31:23,240 --> 00:31:27,360
Speaker 15: obviously very deeply in that country. Given your background, what's

588
00:31:27,400 --> 00:31:29,560
Speaker 15: your sort of assessment as to what's going on in

589
00:31:29,600 --> 00:31:30,120
Speaker 15: that region.

590
00:31:32,480 --> 00:31:35,520
Speaker 7: Yeah, these conflicts between India and Pakistan have been going

591
00:31:35,520 --> 00:31:38,480
Speaker 7: on for a while now that the border over the

592
00:31:38,560 --> 00:31:40,680
Speaker 7: over the decades, the border moved back and forth between

593
00:31:40,720 --> 00:31:46,600
Speaker 7: India and Pakistan, and Pakistan's a hotbed for terrorists. Some

594
00:31:46,640 --> 00:31:51,160
Speaker 7: of the nine to eleven terrists were in Pakistan. We've

595
00:31:51,240 --> 00:31:54,160
Speaker 7: actually done cross border missions and got some of these

596
00:31:54,200 --> 00:31:56,960
Speaker 7: guys at CIA works over there all the time. It's

597
00:31:57,240 --> 00:32:03,040
Speaker 7: Pakistan is very similar to Iran. They harbor terrorists and

598
00:32:04,160 --> 00:32:07,000
Speaker 7: the terrorists use that as a launching point. They use

599
00:32:07,040 --> 00:32:14,440
Speaker 7: it for Afghanistan. During the Afghanistan War, the eastern border

600
00:32:14,480 --> 00:32:19,000
Speaker 7: of Afghanistan was always a hot area. There's constantly terrorists

601
00:32:19,000 --> 00:32:22,320
Speaker 7: coming back and forth in and out of Pakistan. Assawo

602
00:32:22,400 --> 00:32:24,719
Speaker 7: bin Laden he was end up hiding in there, That's

603
00:32:24,760 --> 00:32:28,480
Speaker 7: where they got him. So this basically this highlights the

604
00:32:28,520 --> 00:32:32,520
Speaker 7: reason why Trump doesn't want Iran to have nuclear weapons

605
00:32:32,560 --> 00:32:37,520
Speaker 7: because right now, what if India and Iran, if this

606
00:32:37,520 --> 00:32:39,800
Speaker 7: thing keeps, the heat keeps turning up on this conflict

607
00:32:39,840 --> 00:32:40,760
Speaker 7: between India and Iran.

608
00:32:40,800 --> 00:32:42,920
Speaker 16: And they start using nuclear weapons, then.

609
00:32:43,600 --> 00:32:45,320
Speaker 7: It definitely could be the start of World War three

610
00:32:45,480 --> 00:32:47,640
Speaker 7: and it'll be devastating to the planet.

611
00:32:47,840 --> 00:32:50,920
Speaker 16: So that this is exactly why Trump doesn't.

612
00:32:50,680 --> 00:32:54,280
Speaker 7: Want I Ran to have nuclear weapons because Iran is

613
00:32:54,320 --> 00:32:58,480
Speaker 7: a terrorist state. Pakistan is a semi terrorist state. You know,

614
00:32:58,520 --> 00:33:01,160
Speaker 7: we have an embassy there, We have relations with them,

615
00:33:01,600 --> 00:33:04,040
Speaker 7: but they have nukes. India has nukes, and they hate

616
00:33:04,040 --> 00:33:08,520
Speaker 7: each other over religious reasons, and it's a They're basically

617
00:33:08,680 --> 00:33:12,240
Speaker 7: in a constant state of almost conflict and now it's

618
00:33:12,280 --> 00:33:16,040
Speaker 7: developed into conflict. I saw I think two days ago

619
00:33:16,520 --> 00:33:19,960
Speaker 7: there was a huge are helled dog fight one hundred

620
00:33:20,000 --> 00:33:24,400
Speaker 7: and twenty five aircraft between Pakistan and India. We're going

621
00:33:24,400 --> 00:33:26,920
Speaker 7: at it in the air, which is crazy. There hasn't

622
00:33:26,920 --> 00:33:29,520
Speaker 7: been a dogfight like that since World War Two. So

623
00:33:29,800 --> 00:33:34,680
Speaker 7: it's it's it's bad, and it's on the edge of

624
00:33:34,840 --> 00:33:37,800
Speaker 7: getting really bad if they use nuclear weapons.

625
00:33:37,840 --> 00:33:40,040
Speaker 16: If this thing keeps escalating, it's going to get nasty.

626
00:33:40,840 --> 00:33:44,240
Speaker 7: And I look at it as this is the reason

627
00:33:44,360 --> 00:33:46,920
Speaker 7: Trump does not want I Ran to have nuclear weapons,

628
00:33:46,960 --> 00:33:50,520
Speaker 7: because look, I Ran, they're always going at it with

629
00:33:50,520 --> 00:33:51,040
Speaker 7: their neighbors.

630
00:33:51,240 --> 00:33:52,120
Speaker 16: In the eighties we.

631
00:33:52,080 --> 00:33:54,680
Speaker 7: Had I Ran in Iraq, and then now it's constantly

632
00:33:55,360 --> 00:33:57,360
Speaker 7: I Ran in Israel, and I Ran has all its

633
00:33:57,400 --> 00:34:02,240
Speaker 7: proxy states, you know, Yemen, the Hoodies, and Yemen has Blahamas, all.

634
00:34:02,120 --> 00:34:05,440
Speaker 16: This, all this stuff, so it's all this stuff is intertwined.

635
00:34:06,120 --> 00:34:10,920
Speaker 7: And I think it's because poor or zero leadership on

636
00:34:10,960 --> 00:34:11,840
Speaker 7: the global level.

637
00:34:11,880 --> 00:34:13,880
Speaker 16: And you know, the United.

638
00:34:13,640 --> 00:34:17,520
Speaker 7: States, we're the leaders of the free world. So I

639
00:34:17,520 --> 00:34:22,200
Speaker 7: think we've had bad leadership for the last a while, right,

640
00:34:22,320 --> 00:34:24,399
Speaker 7: like almost few decades. You know, Trump out, Trump out

641
00:34:24,440 --> 00:34:28,360
Speaker 7: a small running there twenty sixteen to twenty twenty. But

642
00:34:29,480 --> 00:34:34,239
Speaker 7: the world is basically on the edge of World War

643
00:34:34,280 --> 00:34:36,440
Speaker 7: three in a really bad way. You know, you have

644
00:34:36,640 --> 00:34:40,240
Speaker 7: Iran and Russia and Europe going on. You have the Israel,

645
00:34:40,320 --> 00:34:44,000
Speaker 7: the Hoodies and I Ran.

646
00:34:44,040 --> 00:34:46,440
Speaker 16: And now this this Indian things. It's crazy.

647
00:34:46,520 --> 00:34:52,680
Speaker 7: So it's definitely something to watch because it could escalate

648
00:34:52,760 --> 00:34:57,480
Speaker 7: into World War three and they're both nuclear armed countries.

649
00:35:00,000 --> 00:35:02,279
Speaker 15: Something to watch, and I think something to watch while

650
00:35:02,320 --> 00:35:04,160
Speaker 15: you drink probably your warpath coffee.

651
00:35:04,160 --> 00:35:04,560
Speaker 13: I'm looking.

652
00:35:04,600 --> 00:35:07,319
Speaker 15: I don't see any bags around me to hold up.

653
00:35:07,320 --> 00:35:09,800
Speaker 15: I usually love having a proper too. When I host

654
00:35:09,840 --> 00:35:12,640
Speaker 15: war Room. But I'm sure you'll probably help me out

655
00:35:12,640 --> 00:35:15,080
Speaker 15: there before we let you go hit us with the

656
00:35:15,160 --> 00:35:18,160
Speaker 15: latest on all things coffee. I'm sure that's the real

657
00:35:18,200 --> 00:35:20,200
Speaker 15: reason the audience wants to have you on.

658
00:35:20,239 --> 00:35:21,360
Speaker 13: They love Warpath.

659
00:35:22,600 --> 00:35:27,160
Speaker 16: Yeah, we're doing a promo for Mother's Day as usual.

660
00:35:26,880 --> 00:35:31,280
Speaker 7: For the Warroom Posse use promo Code Warroom. This weekend

661
00:35:31,320 --> 00:35:35,560
Speaker 7: we're doing fifteen percent off and is the best coffee

662
00:35:35,760 --> 00:35:38,200
Speaker 7: you will drink if you haven't tried it. A lot

663
00:35:38,239 --> 00:35:40,520
Speaker 7: of the coffee, a lot of the war Room Posse

664
00:35:40,600 --> 00:35:44,200
Speaker 7: supports us big time. We had a lot of Warroom

665
00:35:44,200 --> 00:35:48,880
Speaker 7: Posse coffee drinkers and the website is Warpath dot coffee

666
00:35:49,000 --> 00:35:52,320
Speaker 7: use promo Code Warroom and once.

667
00:35:52,160 --> 00:35:53,719
Speaker 16: You try it, you'll see why it's so good. You

668
00:35:53,719 --> 00:35:55,160
Speaker 16: can drink it straight black.

669
00:35:55,320 --> 00:35:57,680
Speaker 7: You don't need any milk any sugar to hide the

670
00:35:57,719 --> 00:36:00,560
Speaker 7: taste to burnt coffee because we don't burn our coffee

671
00:36:00,680 --> 00:36:04,640
Speaker 7: and we use fresh premium beans. We roasted on a

672
00:36:04,640 --> 00:36:08,600
Speaker 7: perforated drum and it is the best coffee out there.

673
00:36:09,600 --> 00:36:12,960
Speaker 16: I told Steve just before I was over in Kuwait

674
00:36:12,960 --> 00:36:13,520
Speaker 16: and Ramadan.

675
00:36:14,239 --> 00:36:17,320
Speaker 7: It's probably like twenty years ago now, and I drank

676
00:36:17,960 --> 00:36:21,520
Speaker 7: some Arabic coffee over there, and it was the best coffee.

677
00:36:21,200 --> 00:36:21,759
Speaker 16: I've ever had.

678
00:36:21,760 --> 00:36:25,359
Speaker 7: And it was so smooth, because up until then, all

679
00:36:25,360 --> 00:36:27,479
Speaker 7: the coffee I've drank, you know, you got a dump

680
00:36:27,560 --> 00:36:29,719
Speaker 7: milk and sugar in there to chug it down because

681
00:36:29,719 --> 00:36:32,480
Speaker 7: it's nasty because it's so burnt, it's acidic and bitter.

682
00:36:33,000 --> 00:36:35,239
Speaker 16: And this coffee I tasted in Kuwait was so good.

683
00:36:35,280 --> 00:36:39,320
Speaker 16: And so that's the coffee I was trying to.

684
00:36:39,239 --> 00:36:44,800
Speaker 7: Recreate when I created Warpath Coffee. I wanted a really good, smooth,

685
00:36:44,920 --> 00:36:49,160
Speaker 7: high end coffee that we could sell for a competitive price.

686
00:36:49,160 --> 00:36:50,000
Speaker 16: And that's what we've done.

687
00:36:50,000 --> 00:36:52,560
Speaker 7: And we have almost ten thousand and five star reviews

688
00:36:52,560 --> 00:36:55,520
Speaker 7: on the site right now. So just go on the

689
00:36:55,560 --> 00:36:58,000
Speaker 7: site and look at the reviews. It's almost up to

690
00:36:58,040 --> 00:37:01,799
Speaker 7: ten thousand. But it's Warpath Dot Coffee and use promo

691
00:37:01,840 --> 00:37:02,400
Speaker 7: code Warroom.

692
00:37:02,440 --> 00:37:04,560
Speaker 16: It's fifteen percent off this weekend for Mother's Day.

693
00:37:05,120 --> 00:37:08,239
Speaker 7: Make sure you use promo code Warroom, because that then

694
00:37:08,239 --> 00:37:10,759
Speaker 7: we know where the sale came from. It we know

695
00:37:10,840 --> 00:37:13,839
Speaker 7: it came from the war room posse. So Warpath Dot

696
00:37:13,840 --> 00:37:16,840
Speaker 7: Coffee promo code Warroom. Check out the reviews. Is the

697
00:37:16,960 --> 00:37:18,520
Speaker 7: best coffee you'll drink.

698
00:37:19,000 --> 00:37:20,200
Speaker 16: And it's the way we roasted.

699
00:37:20,520 --> 00:37:23,480
Speaker 7: We don't burn it at all, and we use fresh

700
00:37:23,640 --> 00:37:24,680
Speaker 7: premium beans.

701
00:37:24,920 --> 00:37:25,960
Speaker 16: That's why it tastes so good.

702
00:37:28,040 --> 00:37:30,239
Speaker 15: Tage Gil, thank you so much for joining us. I

703
00:37:30,280 --> 00:37:33,280
Speaker 15: know the Warm posse loves Warpath. Whenever I meet you guys,

704
00:37:33,480 --> 00:37:34,160
Speaker 15: they always.

705
00:37:33,880 --> 00:37:35,760
Speaker 13: Say I love my cup of Warpath coffee.

706
00:37:35,760 --> 00:37:38,320
Speaker 15: I always watch Warm too, and it's a nice tradition.

707
00:37:38,400 --> 00:37:40,440
Speaker 15: Thank you sir for joining us. Thank you, definitely have

708
00:37:40,520 --> 00:37:41,280
Speaker 15: you back on soon.

709
00:37:41,640 --> 00:37:43,919
Speaker 16: Have a great day too.

710
00:37:44,920 --> 00:37:46,320
Speaker 13: I think we got Brionna Marella.

711
00:37:46,640 --> 00:37:48,759
Speaker 15: I'm definitely gonna hold you through the break, but just

712
00:37:48,760 --> 00:37:49,640
Speaker 15: give me a few minutes.

713
00:37:49,680 --> 00:37:50,759
Speaker 13: You have yet another.

714
00:37:50,560 --> 00:37:55,760
Speaker 15: Bombshell story about the Biden regime and unaccompanied migrant children,

715
00:37:55,800 --> 00:38:00,680
Speaker 15: them essentially abandoning them doing nothing. Another staggering year, sixty

716
00:38:00,680 --> 00:38:03,279
Speaker 15: five thousand reports. Walk the audience through at least the

717
00:38:03,320 --> 00:38:05,879
Speaker 15: beginning of this exclusive you got for us.

718
00:38:06,640 --> 00:38:08,640
Speaker 21: Yes, thank you Natalie for jumping on with me as

719
00:38:08,640 --> 00:38:09,959
Speaker 21: well today, because this is a good one.

720
00:38:10,000 --> 00:38:10,560
Speaker 14: This one.

721
00:38:11,160 --> 00:38:14,760
Speaker 21: It's all about how the Biden regime intentionally ignored children

722
00:38:14,800 --> 00:38:18,960
Speaker 21: who were trying to call r that is the refugee

723
00:38:18,960 --> 00:38:20,239
Speaker 21: program that they have, and they were just trying to

724
00:38:20,239 --> 00:38:22,680
Speaker 21: report the fact that they were either be given stale

725
00:38:22,719 --> 00:38:25,200
Speaker 21: food or there were some issues that they were having.

726
00:38:25,239 --> 00:38:29,600
Speaker 21: But ultimately, this one's crazy because I was told yesterday

727
00:38:29,600 --> 00:38:32,399
Speaker 21: on my program that one of those calls that came

728
00:38:32,480 --> 00:38:34,279
Speaker 21: in the reports came in, came in from a young

729
00:38:34,400 --> 00:38:37,920
Speaker 21: boy who was trying to say that his sponsor was

730
00:38:37,960 --> 00:38:40,080
Speaker 21: putting him in a really bad position. And what I

731
00:38:40,120 --> 00:38:41,880
Speaker 21: mean by that is, and this is going to be

732
00:38:41,880 --> 00:38:43,879
Speaker 21: a little dark for those of you at home right now,

733
00:38:43,920 --> 00:38:45,799
Speaker 21: but this young boy was trying to report the fact

734
00:38:45,840 --> 00:38:49,080
Speaker 21: that he was being molested by adults, and when he

735
00:38:49,200 --> 00:38:53,400
Speaker 21: called to make this report, sadly, the Biden administration completely

736
00:38:53,400 --> 00:38:56,640
Speaker 21: ignored him. Now the Trump administration has been sifting through

737
00:38:56,680 --> 00:39:01,279
Speaker 21: these reports and they heard his complaint. They've reached out

738
00:39:01,360 --> 00:39:05,239
Speaker 21: rescued this boy, according to my source, and saved him

739
00:39:05,239 --> 00:39:07,520
Speaker 21: from that situation. But the reality of it is is,

740
00:39:07,800 --> 00:39:10,000
Speaker 21: you know, this is just one of many stories that

741
00:39:10,040 --> 00:39:12,960
Speaker 21: we continue to talk about, Natalie, obviously, and it's that

742
00:39:13,040 --> 00:39:16,440
Speaker 21: the Biden administration intentionally put these kids in danger by

743
00:39:16,440 --> 00:39:18,040
Speaker 21: putting them around sexual predators.

744
00:39:20,040 --> 00:39:24,000
Speaker 15: It's absolutely astonishing. What is the magnitude. Do you think

745
00:39:24,040 --> 00:39:25,880
Speaker 15: how many cases are there like this.

746
00:39:26,960 --> 00:39:28,839
Speaker 21: Yeah, well they just started sifting through a lot of this,

747
00:39:28,880 --> 00:39:31,520
Speaker 21: so they know that it's about sixty five thousand reports altogether.

748
00:39:31,920 --> 00:39:34,120
Speaker 21: We don't know how large this is going to be,

749
00:39:34,760 --> 00:39:38,040
Speaker 21: but this could be massive and we're just gonna have

750
00:39:38,080 --> 00:39:39,319
Speaker 21: to wait and see. And I know last time when

751
00:39:39,320 --> 00:39:41,960
Speaker 21: I came on your program and we discussed my last

752
00:39:41,960 --> 00:39:45,200
Speaker 21: breaking story on this, I also was told about the

753
00:39:45,200 --> 00:39:47,520
Speaker 21: sponsors and the vetting process. I know we talked about

754
00:39:47,520 --> 00:39:51,640
Speaker 21: that briefly, but I was also informed that DHS wasn't

755
00:39:51,680 --> 00:39:56,160
Speaker 21: even properly vetting these individuals like face to face interactions. Instead,

756
00:39:56,239 --> 00:39:59,480
Speaker 21: they thought it was acceptable to take photograph images through

757
00:39:59,480 --> 00:40:02,000
Speaker 21: the what's upp and that's how they were vetting these

758
00:40:02,040 --> 00:40:04,440
Speaker 21: sponsors before handing them off to them These children I'm

759
00:40:04,440 --> 00:40:08,000
Speaker 21: referring to, by the way. So it's a lot a lot,

760
00:40:08,040 --> 00:40:10,080
Speaker 21: a lot a lot that the Trump matry is gonna

761
00:40:10,080 --> 00:40:12,479
Speaker 21: have to go through with all of this. Unfortunately, though,

762
00:40:12,600 --> 00:40:14,719
Speaker 21: I have a really bad feeling that there's going to

763
00:40:14,760 --> 00:40:18,040
Speaker 21: be thousands of sexual assault cases at the Biden administration ignored.

764
00:40:19,040 --> 00:40:20,960
Speaker 15: Brianna hang with us through the break. I want to

765
00:40:21,040 --> 00:40:24,160
Speaker 15: keep drilling down on this, and I also think who

766
00:40:24,200 --> 00:40:27,440
Speaker 15: exactly these sponsors are. If this was just a symptom

767
00:40:27,480 --> 00:40:30,440
Speaker 15: that the invasion was so you know, massive and scale,

768
00:40:30,480 --> 00:40:31,640
Speaker 15: that there's no way you could.

769
00:40:31,440 --> 00:40:34,120
Speaker 13: Have done it, or maybe it was all intentional by design.

770
00:40:34,160 --> 00:40:36,640
Speaker 15: My money's probably on that, knowing the characters that were

771
00:40:36,680 --> 00:40:39,239
Speaker 15: involved as the orchestration of it, hang with us through

772
00:40:39,239 --> 00:40:40,320
Speaker 15: the break and warm posse.

773
00:40:41,080 --> 00:40:43,000
Speaker 13: If you need a last minute Mother's Day gifts, you

774
00:40:43,000 --> 00:40:44,720
Speaker 13: should check out my Patriot.

775
00:40:44,280 --> 00:40:46,879
Speaker 15: Supply dot com. You can get I think a bunch

776
00:40:46,880 --> 00:40:48,560
Speaker 15: of deals that they're running right now. You can get

777
00:40:48,560 --> 00:40:52,359
Speaker 15: a bunch of packs twelve days, twelve months, twelve years,

778
00:40:52,400 --> 00:40:54,680
Speaker 15: take your pick. Go check out and support Joe wreaking

779
00:40:54,760 --> 00:40:58,279
Speaker 15: the team. Brionna Morello, maybe Mike lindallis see right after

780
00:40:59,160 --> 00:40:59,720
Speaker 15: use your.

781
00:40:59,560 --> 00:41:00,960
Speaker 5: Host Stephen came.

782
00:41:06,000 --> 00:41:07,000
Speaker 13: Welcome back to.

783
00:41:07,360 --> 00:41:09,560
Speaker 15: The war room, where we will not forget what the

784
00:41:09,600 --> 00:41:11,760
Speaker 15: Biden regime did on the southern border.

785
00:41:11,840 --> 00:41:15,320
Speaker 13: It is the gift that keeps on giving.

786
00:41:15,600 --> 00:41:20,480
Speaker 15: Obviously nothing close to a gift is essentially the destruction

787
00:41:20,680 --> 00:41:25,200
Speaker 15: of the country, completely intentional, planned, very well executed. I'm

788
00:41:25,239 --> 00:41:28,400
Speaker 15: still waiting to see some indictments for those people. In

789
00:41:28,440 --> 00:41:32,160
Speaker 15: addition to the illegals that were transported here but bron Marella,

790
00:41:32,200 --> 00:41:34,160
Speaker 15: you're still with us if you want to pick up

791
00:41:34,160 --> 00:41:35,880
Speaker 15: where you left off. But also I want to just

792
00:41:36,000 --> 00:41:39,279
Speaker 15: weave in another one of your reports having to do

793
00:41:39,400 --> 00:41:41,520
Speaker 15: with some I think documents that have sort of come

794
00:41:41,520 --> 00:41:46,120
Speaker 15: out via discovery with a lawsuit against the TSA, how

795
00:41:46,160 --> 00:41:51,440
Speaker 15: the Biden regime was just, I mean, haphazardly releasing sex

796
00:41:51,480 --> 00:41:56,320
Speaker 15: offenders into the United States before they were on trial

797
00:41:56,480 --> 00:41:57,360
Speaker 15: or had been arrested.

798
00:41:57,920 --> 00:42:01,040
Speaker 13: Am I reading that wrong? Walk us through that, Natalie.

799
00:42:01,080 --> 00:42:03,399
Speaker 21: It's so crazy that one has to think that this

800
00:42:03,480 --> 00:42:06,160
Speaker 21: is wrong. When I got the papers from my lawyer,

801
00:42:06,200 --> 00:42:07,960
Speaker 21: I thought it was crazy. When I got the papers

802
00:42:07,960 --> 00:42:09,600
Speaker 21: from DHS, I thought it was even crazier because I

803
00:42:09,600 --> 00:42:12,480
Speaker 21: didn't understand what was going on here. Ultimately, what was

804
00:42:12,480 --> 00:42:16,520
Speaker 21: happening is some background. I am suing TSA actively for

805
00:42:16,640 --> 00:42:20,040
Speaker 21: allowing legal aliens to fly on commercial airlines. All I

806
00:42:20,040 --> 00:42:22,560
Speaker 21: wanted to know was what type of identifications they were

807
00:42:22,840 --> 00:42:25,200
Speaker 21: approving and allowing them to board these flights with, since

808
00:42:25,200 --> 00:42:28,880
Speaker 21: they didn't have photo IDs. As a result of that,

809
00:42:29,120 --> 00:42:32,160
Speaker 21: I've gotten tons of documents dumped on me. But unfortunately,

810
00:42:32,200 --> 00:42:34,880
Speaker 21: the Biden administration wasn't trying to comply with our lawsuit,

811
00:42:35,120 --> 00:42:37,279
Speaker 21: they said that these documents didn't exist. I was looking

812
00:42:37,320 --> 00:42:41,440
Speaker 21: for memos internal communications between TSA and DHS detailing what

813
00:42:41,440 --> 00:42:44,880
Speaker 21: they were looking for. Fortunately, though the Trump administration, as

814
00:42:44,880 --> 00:42:47,320
Speaker 21: soon as they stepped in and took over, they started

815
00:42:47,320 --> 00:42:50,160
Speaker 21: forwarding my attorney and myself these documents and now we

816
00:42:50,239 --> 00:42:52,719
Speaker 21: have them. So what I was able to stumble upon

817
00:42:52,920 --> 00:42:56,560
Speaker 21: is absolutely gut wrenching. The Biden regime knowingly allowed legal

818
00:42:56,600 --> 00:43:01,959
Speaker 21: aliens who were had prior convictions of sexual crimes, sexual assault, rape,

819
00:43:02,000 --> 00:43:04,200
Speaker 21: all of those things. They allowed them to come into

820
00:43:04,239 --> 00:43:07,160
Speaker 21: our country knowing what they had done previously, knowing their

821
00:43:07,160 --> 00:43:10,279
Speaker 21: prior convictions. They had them fill out these forms, and

822
00:43:10,280 --> 00:43:13,080
Speaker 21: they had supervisors that DHS fell out these forms as well.

823
00:43:13,400 --> 00:43:15,799
Speaker 21: And what it's ultimately asking is for them to do

824
00:43:15,880 --> 00:43:18,920
Speaker 21: two things. Number One, they have to enroll in a

825
00:43:18,960 --> 00:43:22,960
Speaker 21: sexual deviance course. It's a program. They have fourteen days

826
00:43:23,000 --> 00:43:26,600
Speaker 21: after being released to enroll and to send DHS proof

827
00:43:26,640 --> 00:43:31,239
Speaker 21: of enrollment. They also have seven days to register as

828
00:43:31,239 --> 00:43:34,719
Speaker 21: a sex offender after they're released and let into our country.

829
00:43:35,080 --> 00:43:37,880
Speaker 21: So those were the two requirements for those who have

830
00:43:38,120 --> 00:43:41,960
Speaker 21: prior sexual assault convictions before being released into our country.

831
00:43:42,480 --> 00:43:44,920
Speaker 21: It just again, it's another layer of chaos that the

832
00:43:44,920 --> 00:43:48,480
Speaker 21: Biden administration was potentially inflicting on the American people, and

833
00:43:48,520 --> 00:43:50,839
Speaker 21: it's gut wrenching. I mean, we talked about it all

834
00:43:50,880 --> 00:43:53,719
Speaker 21: the time. We knew exactly what they were doing to us.

835
00:43:53,760 --> 00:43:56,560
Speaker 21: We just didn't know how well orchestrated it was and

836
00:43:56,600 --> 00:44:01,080
Speaker 21: how intentional it was. The Biden administration released rapist into

837
00:44:01,120 --> 00:44:03,840
Speaker 21: our country and they didn't care about the American people.

838
00:44:03,920 --> 00:44:05,799
Speaker 21: They did it without any care at all. And that's

839
00:44:05,840 --> 00:44:07,920
Speaker 21: the most gut runting part in all of this. Now,

840
00:44:07,960 --> 00:44:10,879
Speaker 21: of course, I'm still suing TSA in regards to all

841
00:44:10,920 --> 00:44:11,200
Speaker 21: of it.

842
00:44:11,880 --> 00:44:13,920
Speaker 14: They're still looking for any more documents.

843
00:44:13,960 --> 00:44:17,640
Speaker 21: But keep in mind this form, this form that just

844
00:44:17,760 --> 00:44:20,120
Speaker 21: literally said you have to take these two programs. We

845
00:44:20,239 --> 00:44:22,319
Speaker 21: take this program and register as a sex offender. That

846
00:44:22,520 --> 00:44:25,480
Speaker 21: was used for them to board commercial airlines. That was

847
00:44:25,600 --> 00:44:28,840
Speaker 21: proof of identification. That's what TSA was accepting at the time.

848
00:44:29,239 --> 00:44:31,239
Speaker 21: I mean, it's completely mind blowing that this happened the

849
00:44:31,280 --> 00:44:33,800
Speaker 21: first place, but they allowed it to happen.

850
00:44:34,280 --> 00:44:35,600
Speaker 14: There needs be people held accountable.

851
00:44:35,640 --> 00:44:37,520
Speaker 21: You know, we still haven't heard of anyone being dragged

852
00:44:37,560 --> 00:44:40,600
Speaker 21: in front of any congressional committees yet. From the Biden

853
00:44:40,600 --> 00:44:44,239
Speaker 21: administration to answer these tough questions, and that would be

854
00:44:44,239 --> 00:44:47,239
Speaker 21: the beginning phase of all of this. Now, I'm not

855
00:44:47,239 --> 00:44:48,920
Speaker 21: going to hold my breath. I don't know if anyone's

856
00:44:48,960 --> 00:44:50,640
Speaker 21: really to be criminally charged in all of it. They

857
00:44:50,680 --> 00:44:54,319
Speaker 21: should be, yes, they should be sued to oblivion. But

858
00:44:54,440 --> 00:44:56,840
Speaker 21: unfortunately it doesn't look like we're getting anywhere, because I

859
00:44:56,880 --> 00:44:59,560
Speaker 21: haven't even heard whispers of investigations being launched to all

860
00:44:59,560 --> 00:45:00,160
Speaker 21: of these people.

861
00:45:02,360 --> 00:45:05,200
Speaker 15: I'm so glad Senator Tillis found it within him to

862
00:45:05,640 --> 00:45:08,160
Speaker 15: have enough courage to oppose Ed Martin. I'm sure his

863
00:45:08,320 --> 00:45:12,319
Speaker 15: constituents would love to see him muster that same shall

864
00:45:12,320 --> 00:45:16,040
Speaker 15: we say fighting resolved to go after the Biden appparatchicks

865
00:45:16,080 --> 00:45:20,080
Speaker 15: that orchestrated the death of this country through the weapon

866
00:45:20,160 --> 00:45:23,160
Speaker 15: of mass migration. But like you, Brianna, I will not

867
00:45:23,239 --> 00:45:25,200
Speaker 15: hold my breath on that one either. Maybe the best

868
00:45:25,239 --> 00:45:27,920
Speaker 15: we can hope for is a primary Brianna. In the meantime,

869
00:45:27,960 --> 00:45:29,440
Speaker 15: before we have you back on. If people want to

870
00:45:29,440 --> 00:45:30,880
Speaker 15: follow you, where can they go to do that?

871
00:45:31,640 --> 00:45:33,040
Speaker 14: Head on over to the Independent Newsroom.

872
00:45:33,080 --> 00:45:34,680
Speaker 21: It's a free newsletter you could sign up for, and

873
00:45:34,680 --> 00:45:37,000
Speaker 21: you could also find me on ex Brianna Morello.

874
00:45:38,239 --> 00:45:42,760
Speaker 18: Thank you so much for coming on. Thank you, Natalie.

875
00:45:43,560 --> 00:45:48,120
Speaker 15: I would just add Democrats are willing to what storm

876
00:45:48,640 --> 00:45:55,319
Speaker 15: hole up, essentially breach ice facilities in New Jersey.

877
00:45:55,560 --> 00:45:59,440
Speaker 13: Republicans, what have they done to push back? I mean,

878
00:45:59,480 --> 00:46:00,239
Speaker 13: certainly the.

879
00:46:00,200 --> 00:46:03,680
Speaker 15: Four years of Joe Biden against the illegal alien invasion.

880
00:46:03,920 --> 00:46:05,440
Speaker 13: A lot of strongly worded letters.

881
00:46:05,480 --> 00:46:07,600
Speaker 15: I saw a lot of nice tweets about how important

882
00:46:07,600 --> 00:46:11,359
Speaker 15: it is to have sovereignty and strong borders. Democrats are

883
00:46:11,360 --> 00:46:14,520
Speaker 15: willing to raid ice facilities.

884
00:46:14,040 --> 00:46:18,920
Speaker 13: And be arrested, and Senator Tillis doesn't like that.

885
00:46:19,040 --> 00:46:21,319
Speaker 15: Maybe Ed Martin was a little too radical on a

886
00:46:21,360 --> 00:46:27,160
Speaker 15: few hundred jan sixers. I would want someone who has

887
00:46:27,200 --> 00:46:31,239
Speaker 15: that fighting spirit to be responsible for going after all

888
00:46:31,239 --> 00:46:34,000
Speaker 15: the prosecutions that need to happen in the city of Washington,

889
00:46:34,080 --> 00:46:40,600
Speaker 15: d C. But I guess Senator Tillis had other ideas well.

890
00:46:40,680 --> 00:46:43,400
Speaker 15: Maybe the American people, and specifically those in North Carolina

891
00:46:43,600 --> 00:46:46,040
Speaker 15: will have other ideas for you when you get primaried.

892
00:46:47,120 --> 00:46:50,319
Speaker 15: Speaking of people who I think have other ideas, other

893
00:46:50,360 --> 00:46:52,080
Speaker 15: ideas in the form of the best pillow that has

894
00:46:52,120 --> 00:46:52,760
Speaker 15: ever existed.

895
00:46:52,800 --> 00:46:55,799
Speaker 13: That is, of course, that my pillow. Mike Lindel joins us. Now, Mike,

896
00:46:55,880 --> 00:46:58,040
Speaker 13: you got two minutes, hit us with the latest.

897
00:46:58,080 --> 00:46:59,640
Speaker 15: Well that you never know with you, I'm sure there's

898
00:46:59,640 --> 00:47:01,560
Speaker 15: some break story you've got going on, or.

899
00:47:01,520 --> 00:47:03,800
Speaker 18: Just hit us with the latest. All things my plan out.

900
00:47:04,400 --> 00:47:06,440
Speaker 5: Right, here's the latest, everybody.

901
00:47:06,480 --> 00:47:09,799
Speaker 19: In three weeks on June second, my case in this

902
00:47:10,000 --> 00:47:13,120
Speaker 19: law fare will be the first case in the United

903
00:47:13,120 --> 00:47:17,759
Speaker 19: States to start dury trial. Every other case their insurance

904
00:47:17,800 --> 00:47:21,560
Speaker 19: companies settled. They gave up. They gave up on securing

905
00:47:21,560 --> 00:47:24,600
Speaker 19: our election platforms. So I'm really looking forward to it.

906
00:47:24,640 --> 00:47:27,400
Speaker 19: I've been working all week on with the attorneys. Remember

907
00:47:27,480 --> 00:47:30,400
Speaker 19: June second, everybody'll get We'll give you updates on that

908
00:47:30,440 --> 00:47:33,200
Speaker 19: as we get closer. And so this is going to

909
00:47:33,239 --> 00:47:34,960
Speaker 19: help secure our election platforms.

910
00:47:35,000 --> 00:47:35,560
Speaker 16: I know it is.

911
00:47:35,760 --> 00:47:38,399
Speaker 19: By taking care of my employee owned company, my Pill,

912
00:47:38,920 --> 00:47:41,440
Speaker 19: we're doing something we've never done in the history of

913
00:47:41,440 --> 00:47:45,239
Speaker 19: my Pill. These are our flagship Giza Dream sheets, the

914
00:47:45,280 --> 00:47:48,720
Speaker 19: best sheets in the history of the planet. Are President's's

915
00:47:48,880 --> 00:47:54,520
Speaker 19: favorite product forty eight any size, King size, Queen size,

916
00:47:54,800 --> 00:47:58,959
Speaker 19: California Kings Split Kings forty nine ninety eight. They're well

917
00:47:58,960 --> 00:48:02,480
Speaker 19: over one hundred dollars set. You guys know ten your warranty,

918
00:48:02,640 --> 00:48:04,759
Speaker 19: Sat and Weed. These are the ones that are gonna

919
00:48:04,800 --> 00:48:06,480
Speaker 19: make you be late for work in the morning because

920
00:48:06,480 --> 00:48:09,279
Speaker 19: you're just gonna wrap yourself around them. Go to the

921
00:48:09,280 --> 00:48:13,320
Speaker 19: website promo code war Room, go down to you see Steve.

922
00:48:13,719 --> 00:48:17,239
Speaker 19: Click on Steve everybody and do your shopping. There's the

923
00:48:17,320 --> 00:48:20,600
Speaker 19: my cross as you say, fifty percent there, there's the

924
00:48:20,680 --> 00:48:24,200
Speaker 19: Geeza dream sheets. There's the my pillows on sale fifty

925
00:48:24,239 --> 00:48:26,880
Speaker 19: percent off you guys. If you buy one hundred dollars

926
00:48:27,000 --> 00:48:29,919
Speaker 19: or more today, I'm on sale with fifty percent off

927
00:48:30,120 --> 00:48:32,920
Speaker 19: you guys. If you buy one hundred dollars or more today,

928
00:48:33,280 --> 00:48:36,160
Speaker 19: I'm gonna match it with one hundred dollars in free

929
00:48:36,440 --> 00:48:37,360
Speaker 19: digital gifts.

930
00:48:37,360 --> 00:48:40,000
Speaker 5: And you're gonna love the gifts. Trust me, you're gonna

931
00:48:40,040 --> 00:48:41,360
Speaker 5: go whoa, This is amazing.

932
00:48:41,440 --> 00:48:44,280
Speaker 15: I've heard them as briefing room many times.

933
00:48:44,520 --> 00:48:47,239
Speaker 13: I think our audience is going to love that. Ad Mike,

934
00:48:47,239 --> 00:48:49,160
Speaker 13: Who've got a balance to shows ending? Thank you, will

935
00:48:49,200 --> 00:48:51,520
Speaker 13: have you back on soon, Warm posse, Thank you for

936
00:48:51,520 --> 00:48:55,400
Speaker 13: hanging with me. Hopefully Steve will be back tomorrow. Until then,

937
00:48:55,440 --> 00:48:56,239
Speaker 13: I'll see you guys soon