1
00:00:00,080 --> 00:00:01,599
Speaker 1: Hey, guys, Saga and Crystal here.

2
00:00:01,680 --> 00:00:05,240
Speaker 2: Independent media just played a truly massive role in this election,

3
00:00:05,360 --> 00:00:07,840
Speaker 2: and we are so excited about what that means for

4
00:00:07,880 --> 00:00:08,720
Speaker 2: the future of this show.

5
00:00:08,880 --> 00:00:10,760
Speaker 3: This is the only place where you can find honest

6
00:00:10,760 --> 00:00:13,280
Speaker 3: perspectives from the left and the right that simply does

7
00:00:13,320 --> 00:00:14,640
Speaker 3: not exist anywhere else.

8
00:00:14,720 --> 00:00:17,080
Speaker 2: So if that is something that's important to you, please

9
00:00:17,120 --> 00:00:19,599
Speaker 2: go to Breakingpoints dot com. Become a member today and

10
00:00:19,640 --> 00:00:22,800
Speaker 2: you'll get access to our full shows, unedited, ad free,

11
00:00:22,800 --> 00:00:25,600
Speaker 2: and all put together for you every morning in your inbox.

12
00:00:25,680 --> 00:00:27,560
Speaker 3: We need your help to build the future of independent

13
00:00:27,560 --> 00:00:29,920
Speaker 3: news media and we hope to see you at Breakingpoints

14
00:00:29,960 --> 00:00:33,559
Speaker 3: dot com.

15
00:00:33,720 --> 00:00:35,680
Speaker 2: So let's talk a little bit more about the direct

16
00:00:35,800 --> 00:00:39,880
Speaker 2: Trump and Epstein connections. Interesting moment on Don Lemon's podcast

17
00:00:39,920 --> 00:00:44,160
Speaker 2: he had on Jeffrey Epstein's brother Mark and ask him directly, Hey,

18
00:00:44,440 --> 00:00:47,880
Speaker 2: do you think that Trump during his first administration.

19
00:00:47,360 --> 00:00:49,559
Speaker 4: Actually had your brother killed? Let's take a listen to that.

20
00:00:49,840 --> 00:00:51,360
Speaker 5: When you saw that interview with them, I think there

21
00:00:51,440 --> 00:00:54,680
Speaker 5: was a couple of interviews, the one thing with Maria

22
00:00:54,720 --> 00:00:57,279
Speaker 5: Bartiromo where they sat down and I mean they were

23
00:00:57,360 --> 00:01:00,640
Speaker 5: glum and they're saying there's nothing there be honest with you,

24
00:01:00,680 --> 00:01:03,840
Speaker 5: there's nothing there. After years and years of pushing and

25
00:01:03,920 --> 00:01:10,279
Speaker 5: also calling this somehow a Democrat according to them, conspiracy theory,

26
00:01:10,400 --> 00:01:13,040
Speaker 5: and that's somehow the Democrats were involved in your brother's dad.

27
00:01:14,720 --> 00:01:16,520
Speaker 6: I don't think the Democrats. Look well, I look at

28
00:01:16,520 --> 00:01:17,000
Speaker 6: it this way.

29
00:01:18,680 --> 00:01:21,640
Speaker 7: Bill Barr when he came out that ridiculous statement, he

30
00:01:21,720 --> 00:01:25,720
Speaker 7: worked for he was the attorney general. You know who

31
00:01:25,800 --> 00:01:29,039
Speaker 7: did he look he was If Jeffrey was murdered, which

32
00:01:29,080 --> 00:01:32,240
Speaker 7: I believe he was, somebody did it. So the people

33
00:01:32,400 --> 00:01:35,679
Speaker 7: who were coming out with these ridiculous statements, I think

34
00:01:35,840 --> 00:01:39,720
Speaker 7: are covering up for somebody, right, So who are they.

35
00:01:39,640 --> 00:01:40,520
Speaker 6: Covering up for?

36
00:01:41,360 --> 00:01:44,240
Speaker 7: You know, Bill Barr worked for the President of the

37
00:01:44,360 --> 00:01:47,240
Speaker 7: United States. Cash Berttel works for the President of the

38
00:01:47,319 --> 00:01:49,720
Speaker 7: United States. Pam Bondi works for the President of the

39
00:01:49,800 --> 00:01:50,400
Speaker 7: United States.

40
00:01:50,560 --> 00:01:52,840
Speaker 6: Maybe someone should ask him what he knows.

41
00:01:53,560 --> 00:01:55,080
Speaker 1: Who do you think they're covering up for?

42
00:01:56,320 --> 00:01:57,240
Speaker 6: Who do they all work for?

43
00:01:59,240 --> 00:02:00,680
Speaker 1: They all work for Donald Trump.

44
00:02:02,640 --> 00:02:06,680
Speaker 6: Well, like I said in another interview, I wouldn't be surprised.

45
00:02:08,080 --> 00:02:10,480
Speaker 5: You wouldn't be surprised if Donald Trump was behind your

46
00:02:10,480 --> 00:02:12,400
Speaker 5: brother's death. Are you saying that Donald Trump had your

47
00:02:12,440 --> 00:02:13,040
Speaker 5: brother murdered?

48
00:02:13,120 --> 00:02:16,040
Speaker 6: You believe I'm not saying that, I'm saying, in fact,

49
00:02:16,040 --> 00:02:16,680
Speaker 6: that's what it was.

50
00:02:16,720 --> 00:02:21,360
Speaker 7: I wouldn't be surprised. We know that Jeffrey had dirt

51
00:02:21,400 --> 00:02:23,920
Speaker 7: on Donald Trump. We know that that's a fact because

52
00:02:23,919 --> 00:02:26,520
Speaker 7: he said in twenty sixteen with the election that if

53
00:02:26,520 --> 00:02:28,640
Speaker 7: he said what he knew, they'd have to cancel the election.

54
00:02:29,120 --> 00:02:30,840
Speaker 7: He didn't tell me what he knew, but that's what

55
00:02:30,919 --> 00:02:33,359
Speaker 7: he said, and I've been public about that before.

56
00:02:33,400 --> 00:02:34,600
Speaker 6: That shouldn't come as a shock.

57
00:02:37,440 --> 00:02:39,920
Speaker 7: Of course, Steve Bannon said that the only person he

58
00:02:40,000 --> 00:02:42,639
Speaker 7: feared for Donald Trump's sake was Jeffrey Epstein.

59
00:02:43,480 --> 00:02:45,520
Speaker 6: Why what do you think Jeffrey's going to beat him

60
00:02:45,560 --> 00:02:47,240
Speaker 6: up because of what Jeffrey knew?

61
00:02:48,720 --> 00:02:49,680
Speaker 1: And what did Jeffrey know?

62
00:02:50,360 --> 00:02:50,920
Speaker 6: Oh, I don't know.

63
00:02:51,000 --> 00:02:53,040
Speaker 7: He didn't tell me what he knew, but he said

64
00:02:53,480 --> 00:02:55,480
Speaker 7: if he said what he knew, it'd have to cancel

65
00:02:55,560 --> 00:02:55,959
Speaker 7: the election.

66
00:02:56,520 --> 00:02:59,560
Speaker 4: So very interesting comments there, Zagar, which.

67
00:02:59,560 --> 00:03:00,800
Speaker 1: Mark is an interesting figure.

68
00:03:00,840 --> 00:03:03,360
Speaker 3: So Mark actually some background if people want to listen

69
00:03:03,400 --> 00:03:07,400
Speaker 3: to my interview with Tucker. Tucker in twenty nineteen was like, yeah,

70
00:03:07,440 --> 00:03:09,800
Speaker 3: you know, maybe he killed himself. You know, we'll see whatever.

71
00:03:10,040 --> 00:03:12,360
Speaker 3: But he said that Mark Epstein called him, and he

72
00:03:12,400 --> 00:03:14,480
Speaker 3: was like, I'm telling you one hundred percent he did

73
00:03:14,480 --> 00:03:16,760
Speaker 3: not kill himself, you know, based on everything that I

74
00:03:16,800 --> 00:03:18,839
Speaker 3: know about this. And it began actually a years long

75
00:03:18,880 --> 00:03:22,560
Speaker 3: relationship between Mark and Tucker basically about this issue of

76
00:03:22,960 --> 00:03:25,239
Speaker 3: whether he killed himself or not, which was an exploration

77
00:03:25,280 --> 00:03:28,520
Speaker 3: about the intelligence connections, et cetera. So Mark is not

78
00:03:28,880 --> 00:03:31,560
Speaker 3: a partisan democratic figure. I just want people to lay

79
00:03:31,600 --> 00:03:33,359
Speaker 3: that out and know it. At the beginning. I mean,

80
00:03:33,400 --> 00:03:35,320
Speaker 3: in a way, he's like advocating for his dead brother,

81
00:03:35,360 --> 00:03:37,560
Speaker 3: even though it was, you know, a heinous individual. But

82
00:03:37,680 --> 00:03:40,160
Speaker 3: whatever the point is is that it's an entree point

83
00:03:40,360 --> 00:03:43,360
Speaker 3: to which you're aft to ask the question why who

84
00:03:43,440 --> 00:03:45,760
Speaker 3: is covering this stuff up and for what purpose? And

85
00:03:45,840 --> 00:03:47,640
Speaker 3: I'll be honest, you know, for me, I always thought

86
00:03:47,680 --> 00:03:49,720
Speaker 3: that Trump thing was tenuous. And Tucker kind of put

87
00:03:49,720 --> 00:03:51,960
Speaker 3: it to me and he's like, well, you know, wouldn't

88
00:03:52,000 --> 00:03:53,400
Speaker 3: the Biden administration released it?

89
00:03:53,200 --> 00:03:54,680
Speaker 1: And it was like a compelling point.

90
00:03:54,720 --> 00:03:56,520
Speaker 3: And then the second part is like, it's just not

91
00:03:56,520 --> 00:03:58,480
Speaker 3: really who Trump is and you know, for all of

92
00:03:58,480 --> 00:04:01,120
Speaker 3: his sexual proclivities, and you can read it in it

93
00:04:01,200 --> 00:04:03,480
Speaker 3: all for yourself from Stormy Daniels. It just like it

94
00:04:03,600 --> 00:04:07,160
Speaker 3: seems like pretty standard, like horny old man behavior. But

95
00:04:07,320 --> 00:04:10,760
Speaker 3: then this, you know, the way this is now being handled,

96
00:04:11,040 --> 00:04:15,320
Speaker 3: combined with the totality of the reaction previously, that really

97
00:04:15,320 --> 00:04:18,040
Speaker 3: makes me start to be like, man, what's going on here?

98
00:04:18,080 --> 00:04:20,560
Speaker 3: And I don't know, is it Trump himself? Is it

99
00:04:20,560 --> 00:04:22,479
Speaker 3: about his own enabling him? Let's be honest. You know,

100
00:04:22,600 --> 00:04:24,680
Speaker 3: he hung out with him, He was a mar A

101
00:04:24,720 --> 00:04:28,359
Speaker 3: Lago friend. They were just pictures of them all being together.

102
00:04:28,560 --> 00:04:30,839
Speaker 3: So at this point I almost have no choice but

103
00:04:30,960 --> 00:04:34,039
Speaker 3: to ask, like, look, maybe there really is something there.

104
00:04:34,440 --> 00:04:36,080
Speaker 3: And I don't think that's some I don't think that's

105
00:04:36,080 --> 00:04:38,440
Speaker 3: a crazy thing to say. It's not a conspiracy theory.

106
00:04:38,480 --> 00:04:40,440
Speaker 3: It's like, in the same way that we look past,

107
00:04:40,520 --> 00:04:42,479
Speaker 3: let's look at the evidence about the way he said

108
00:04:42,560 --> 00:04:45,880
Speaker 3: to Glaine, I wish I wish her well right about

109
00:04:45,880 --> 00:04:48,000
Speaker 3: the way that that case was handled, in which they

110
00:04:48,040 --> 00:04:51,760
Speaker 3: basically localized the entire prosecution to just Glaine, Maxwell and

111
00:04:51,800 --> 00:04:54,320
Speaker 3: Jeffrey Epstein to make sure it didn't implicate anybody else.

112
00:04:54,480 --> 00:04:57,120
Speaker 3: He did die under his watch. All these people do

113
00:04:57,200 --> 00:05:00,599
Speaker 3: work for Donald Trump. Obviously, the you know, of faith

114
00:05:00,839 --> 00:05:04,599
Speaker 3: has to be proclaimed here from Cash betel BONDI and

115
00:05:04,600 --> 00:05:07,120
Speaker 3: others come from Trump himself, I would assume. And then

116
00:05:07,160 --> 00:05:10,080
Speaker 3: there's this public record now in the camera, right, it's sketchy.

117
00:05:10,120 --> 00:05:11,360
Speaker 1: I don't know another way to say it.

118
00:05:11,440 --> 00:05:15,520
Speaker 2: And you have this choice of numerous Epstein linked figures

119
00:05:15,680 --> 00:05:19,000
Speaker 2: for his first and second administration. Whether it's Bill Barr,

120
00:05:19,040 --> 00:05:22,560
Speaker 2: whose dad gives Epstein his first job at a private school.

121
00:05:22,800 --> 00:05:24,680
Speaker 3: His very first job, right, yeah, who is never have

122
00:05:24,720 --> 00:05:29,080
Speaker 3: a college degree? At Dalton School, Bill Barr's father hires him,

123
00:05:29,080 --> 00:05:32,279
Speaker 3: where he gets introduced to whom, to bear Stearns, where

124
00:05:32,279 --> 00:05:34,440
Speaker 3: he then gets like, man, you're sending.

125
00:05:34,240 --> 00:05:37,200
Speaker 1: Me down the road. This is important degree.

126
00:05:37,839 --> 00:05:39,279
Speaker 4: I don't know if people still teach mass.

127
00:05:39,400 --> 00:05:42,960
Speaker 2: Dalton is a highly elite Yes, it's like, you know,

128
00:05:43,040 --> 00:05:46,440
Speaker 2: the pinnacle of like elite private schools. So he gets

129
00:05:46,480 --> 00:05:49,600
Speaker 2: plucked with no college degree to go teach there, then

130
00:05:49,720 --> 00:05:56,080
Speaker 2: parlays that into somehow becoming this financier managing billions of dollars.

131
00:05:56,120 --> 00:05:56,920
Speaker 4: Oh, who are your clients?

132
00:05:57,000 --> 00:06:00,000
Speaker 2: We don't know, I don't know outside of Les Wexner,

133
00:06:00,440 --> 00:06:02,760
Speaker 2: that's the only one we really know. But we're told

134
00:06:02,800 --> 00:06:06,640
Speaker 2: this is, you know, so lucrative and he's so extraordinary

135
00:06:06,680 --> 00:06:09,560
Speaker 2: at it that you know he becomes so wealthy that

136
00:06:09,600 --> 00:06:12,040
Speaker 2: he has he has actually sort of gifted to him

137
00:06:12,040 --> 00:06:15,920
Speaker 2: actually from Les Wexner, the largest private residence in Manhattan.

138
00:06:16,240 --> 00:06:18,360
Speaker 2: I don't know if you guys are familiar with Manhattan,

139
00:06:18,480 --> 00:06:19,440
Speaker 2: but there's a lot of.

140
00:06:19,360 --> 00:06:21,280
Speaker 1: Wealthy people there. It's crazy.

141
00:06:21,320 --> 00:06:22,960
Speaker 4: Yes, it's on the Aubrey's side.

142
00:06:23,040 --> 00:06:26,120
Speaker 2: Absolutely wasn't didn't you tell his neighbors with Howard Lenny.

143
00:06:26,120 --> 00:06:26,599
Speaker 1: Yes, he was.

144
00:06:27,480 --> 00:06:31,039
Speaker 3: How Just by the way, Howard recently purchased a twelve

145
00:06:31,080 --> 00:06:33,880
Speaker 3: hundred dollar bottle of tequila and bragged about it online.

146
00:06:33,920 --> 00:06:35,599
Speaker 1: If you're wondering engaged, you're wondering.

147
00:06:35,680 --> 00:06:37,000
Speaker 4: Yeah, So, I mean you have that.

148
00:06:37,080 --> 00:06:40,320
Speaker 2: You've got alex Acosta, who is the person who gave

149
00:06:40,400 --> 00:06:43,920
Speaker 2: Epstein that sweetheart deal which really buried all of this evidence.

150
00:06:44,040 --> 00:06:45,640
Speaker 4: I mean that was critical.

151
00:06:46,440 --> 00:06:48,760
Speaker 2: And you know, Alan Dershowitz was his lawyer in all

152
00:06:48,800 --> 00:06:51,880
Speaker 2: of that and has continued to receive legal fees from

153
00:06:52,040 --> 00:06:55,680
Speaker 2: Jeffrey Epstein over time. Here you've got Pam Bondi, who

154
00:06:55,720 --> 00:06:58,880
Speaker 2: also was Florida who also you know there's linkages there

155
00:06:58,920 --> 00:07:01,800
Speaker 2: as well, and so and then you consider Trump in

156
00:07:01,839 --> 00:07:04,040
Speaker 2: his longtime relationship and the things that we know about that,

157
00:07:04,240 --> 00:07:07,040
Speaker 2: and then there he is acting guilty, is fucking covering

158
00:07:07,080 --> 00:07:07,560
Speaker 2: some thing up.

159
00:07:08,200 --> 00:07:09,800
Speaker 4: Yeah, you have to ask some questions about that.

160
00:07:10,640 --> 00:07:14,800
Speaker 2: Michael Wolfe, journalists who did hours of interviews actually with

161
00:07:14,880 --> 00:07:17,880
Speaker 2: Jeffrey Epstein, talked about how a bunch of these linkages

162
00:07:17,920 --> 00:07:20,120
Speaker 2: were just basically hiding in plain sight with regard to

163
00:07:20,160 --> 00:07:20,760
Speaker 2: Donald Trump.

164
00:07:20,880 --> 00:07:22,360
Speaker 4: Let's take a listen to a little bit of that.

165
00:07:22,800 --> 00:07:28,920
Speaker 8: Donald Trump has gotten away with literally everything, and it

166
00:07:29,120 --> 00:07:33,800
Speaker 8: turns out to be one of his greatest gifts. And somehow,

167
00:07:33,920 --> 00:07:38,840
Speaker 8: again hiding in plain sight is long relationship with Jeffrey Epstein,

168
00:07:39,480 --> 00:07:43,680
Speaker 8: and Trump has just waved it away, swept it under

169
00:07:43,720 --> 00:07:49,040
Speaker 8: the rug, ignored it, and gotten away with it. Once

170
00:07:49,080 --> 00:07:51,280
Speaker 8: when I was and this was in mar A Lago,

171
00:07:51,360 --> 00:07:55,640
Speaker 8: I went to sit have a sit down with him,

172
00:07:56,400 --> 00:07:59,680
Speaker 8: and in his aids just asked me, you know, a

173
00:07:59,760 --> 00:08:03,320
Speaker 8: rough outline of what I wanted to talk about, and

174
00:08:03,360 --> 00:08:05,680
Speaker 8: I had a lot of subjects, but I said, I

175
00:08:05,720 --> 00:08:10,240
Speaker 8: also said Epstein, and they said and they said, you know,

176
00:08:10,480 --> 00:08:13,280
Speaker 8: if if you ask about that, he'll just stop the

177
00:08:13,360 --> 00:08:15,600
Speaker 8: interview and you won't get anything.

178
00:08:15,280 --> 00:08:19,960
Speaker 2: So interesting there he says, you know, Epstein, other things fine,

179
00:08:20,080 --> 00:08:22,880
Speaker 2: Epstein off limits. And you know how that interview shaping

180
00:08:23,160 --> 00:08:25,600
Speaker 2: works in advanced they said, Okay, well, yeah, you can

181
00:08:25,680 --> 00:08:27,480
Speaker 2: ask if you want, but that's just gonna be the

182
00:08:27,560 --> 00:08:27,800
Speaker 2: end of it.

183
00:08:27,960 --> 00:08:29,400
Speaker 1: You know what the key is to do that is

184
00:08:29,400 --> 00:08:30,480
Speaker 1: to ask it at the end.

185
00:08:30,360 --> 00:08:30,960
Speaker 9: The very last.

186
00:08:31,040 --> 00:08:33,000
Speaker 1: Anybody wants to know exactly strategy.

187
00:08:33,080 --> 00:08:35,400
Speaker 3: That's what I did, you know, Yeah, before I went

188
00:08:35,440 --> 00:08:38,280
Speaker 3: into the Oval Ones, Sarah Sanders was like, Hey, just

189
00:08:38,320 --> 00:08:40,400
Speaker 3: don't ask about this whole Egene Carroll thing.

190
00:08:40,400 --> 00:08:42,679
Speaker 1: And we're like, for sure. And then of course when

191
00:08:42,679 --> 00:08:43,559
Speaker 1: we were done and we were like.

192
00:08:43,480 --> 00:08:45,520
Speaker 3: Hey, by the way, what do you think about this

193
00:08:45,559 --> 00:08:48,000
Speaker 3: whole And of course we got this iconic answer, which

194
00:08:48,040 --> 00:08:51,760
Speaker 3: she ended up using in her own defamation lawsuit, citing

195
00:08:51,800 --> 00:08:52,720
Speaker 3: it multiple times.

196
00:08:52,720 --> 00:08:54,800
Speaker 1: That answer. So, yes, that's the strategy about what you're

197
00:08:54,800 --> 00:08:55,320
Speaker 1: supposed to do.

198
00:08:55,400 --> 00:08:58,120
Speaker 2: And Wolfe has other things that he said as well,

199
00:08:58,120 --> 00:09:00,800
Speaker 2: that Epstein told him that they were bestie for you know,

200
00:09:00,840 --> 00:09:03,880
Speaker 2: a deck over a decade, and certainly they were you know,

201
00:09:03,960 --> 00:09:07,160
Speaker 2: closely linked for quite a while in the early nineties

202
00:09:07,160 --> 00:09:10,800
Speaker 2: and in the nineties in general. He also has talked about,

203
00:09:10,840 --> 00:09:13,840
Speaker 2: you know, photos with girls of uncertain age and staying

204
00:09:13,920 --> 00:09:17,040
Speaker 2: on Trump's pants and girls pointing and laughing at him.

205
00:09:17,440 --> 00:09:19,480
Speaker 2: That's what his claim is in terms of things that

206
00:09:19,559 --> 00:09:23,080
Speaker 2: exist out there. So another interesting data point here puts

207
00:09:23,120 --> 00:09:26,520
Speaker 2: the three up on the screen. Apparently Trump held some

208
00:09:26,600 --> 00:09:31,079
Speaker 2: talks on a pardon for Gawayne Maxwell, which fits with

209
00:09:31,280 --> 00:09:33,360
Speaker 2: the response when he got asked about her, you know,

210
00:09:33,440 --> 00:09:35,360
Speaker 2: when she was on trial, Hey, I wish her well,

211
00:09:36,160 --> 00:09:40,760
Speaker 2: and fits with a very persistent pattern of getting quite

212
00:09:40,760 --> 00:09:43,839
Speaker 2: squarely when asked about the Epstein files and the release

213
00:09:43,880 --> 00:09:44,880
Speaker 2: of the Epstein files.

214
00:09:44,920 --> 00:09:47,920
Speaker 4: Every time he got asked about it would be like, yeah, well.

215
00:09:47,760 --> 00:09:51,000
Speaker 2: Maybe no, Actually, you've got to worry about people's privacy there.

216
00:09:51,080 --> 00:09:54,120
Speaker 2: So you know, for people who I guess wanted to

217
00:09:54,160 --> 00:09:56,200
Speaker 2: hear that there would be a release, they just listened

218
00:09:56,200 --> 00:09:58,360
Speaker 2: to the figures around Trump, or they listened to that first,

219
00:09:58,440 --> 00:10:01,560
Speaker 2: like yeah, sure, before well I don't know, I'm not

220
00:10:01,600 --> 00:10:04,040
Speaker 2: so sure. The other ones, yes, but not so much

221
00:10:04,120 --> 00:10:07,320
Speaker 2: on Epstein. Let's put this next one up on the

222
00:10:07,360 --> 00:10:09,920
Speaker 2: screen here. This is just another indication of like the

223
00:10:10,000 --> 00:10:13,920
Speaker 2: things that were said about this case before we got

224
00:10:13,960 --> 00:10:16,120
Speaker 2: the memo that was just like case clothes, nothing to

225
00:10:16,160 --> 00:10:18,920
Speaker 2: see here. Prince Andrew, by the way, and everybody else,

226
00:10:18,920 --> 00:10:20,560
Speaker 2: you're all let off the hook, don't worry about it.

227
00:10:20,559 --> 00:10:22,480
Speaker 4: You're good to go, completely innocent.

228
00:10:23,640 --> 00:10:28,199
Speaker 2: FBI employees had received a directive to begin working uninterrupted

229
00:10:28,440 --> 00:10:33,600
Speaker 2: on the Epstein records. Hundreds under pressure from Patel, hundreds

230
00:10:33,640 --> 00:10:37,000
Speaker 2: of FBI employees, including special agents from the DC New

231
00:10:37,080 --> 00:10:40,559
Speaker 2: York Field Office, have been working furiously to meet Pam

232
00:10:40,600 --> 00:10:43,560
Speaker 2: Bondi's demands. They've been hold up in offices at the

233
00:10:43,600 --> 00:10:47,640
Speaker 2: bureaus sprawling Central Records complex in Winchester, Virginia houses two

234
00:10:47,760 --> 00:10:50,400
Speaker 2: billion pages of physical FBI records, and older building a

235
00:10:50,400 --> 00:10:53,440
Speaker 2: few miles away. They've been working alongside analyst tasks with

236
00:10:53,480 --> 00:10:58,160
Speaker 2: processing FOIA requests at the department. So whatever happened with

237
00:10:58,200 --> 00:11:01,400
Speaker 2: those hundreds of FBI employees, Like, what were they doing there?

238
00:11:01,520 --> 00:11:04,280
Speaker 2: What records were they looking at? What are we talking

239
00:11:04,280 --> 00:11:07,079
Speaker 2: about here? For it all to be just case closed

240
00:11:07,120 --> 00:11:10,480
Speaker 2: with a single page memo that you know, supposedly there's

241
00:11:10,640 --> 00:11:13,080
Speaker 2: nothing going on and there's nothing to learn, and we

242
00:11:13,120 --> 00:11:16,120
Speaker 2: have definitively decided that he definitely killed himself.

243
00:11:16,240 --> 00:11:16,760
Speaker 1: Yes, that's right.

244
00:11:16,800 --> 00:11:18,880
Speaker 3: I mean, look, I think it's all just totally crazy.

245
00:11:18,960 --> 00:11:22,120
Speaker 3: And you flagged this to me, this piece by Chris Hedges.

246
00:11:22,200 --> 00:11:25,480
Speaker 3: Let's put C five please up on the screen. I mean, really,

247
00:11:25,480 --> 00:11:29,120
Speaker 3: what Chris gets into is not only the list of

248
00:11:29,200 --> 00:11:32,240
Speaker 3: all of the figures, including Trump himself, that are like,

249
00:11:32,320 --> 00:11:35,079
Speaker 3: you know, all tied up within this, but listen, I

250
00:11:35,120 --> 00:11:38,080
Speaker 3: mean when looking back also at the fact, at this

251
00:11:38,160 --> 00:11:41,440
Speaker 3: point we have to acknowledge, you know, we have at

252
00:11:41,640 --> 00:11:44,440
Speaker 3: Epstein who dies under Trump, We have all of these

253
00:11:44,520 --> 00:11:47,280
Speaker 3: allegations and weird and sketchy things that happened, you know.

254
00:11:47,320 --> 00:11:51,040
Speaker 3: In terms of Trump's answer that specifically happen here around

255
00:11:51,600 --> 00:11:54,640
Speaker 3: the Epstein scandal, he cites a lawsuit which I actually

256
00:11:54,679 --> 00:11:58,880
Speaker 3: was not aware about about these like Epsteinian orgies and

257
00:11:58,960 --> 00:12:02,079
Speaker 3: weird things, yeah, which you know, allegedly implicate Trump. I

258
00:12:02,120 --> 00:12:03,080
Speaker 3: had no idea what this was.

259
00:12:03,120 --> 00:12:04,679
Speaker 4: I didn't know about this either. Yeah, this was what

260
00:12:04,760 --> 00:12:05,240
Speaker 4: surprised me.

261
00:12:05,280 --> 00:12:07,400
Speaker 2: So let me just read this section to get the details,

262
00:12:07,720 --> 00:12:11,760
Speaker 2: you know, very specifically correct here. The Miami Herald investigator

263
00:12:11,760 --> 00:12:15,040
Speaker 2: reporter Julie K. Brown, whose dogged reporting was largely responsible

264
00:12:15,080 --> 00:12:18,640
Speaker 2: for reopening the federal investigation into Epstein and Maxwell, documents

265
00:12:18,640 --> 00:12:21,280
Speaker 2: in her book Perversion of Justice The Duffrey Epstein Story.

266
00:12:21,520 --> 00:12:24,560
Speaker 2: As Brown writes in twenty sixteen, an anonymous woman using

267
00:12:24,600 --> 00:12:27,120
Speaker 2: the pseudonym Kate Johnson filed a civil complaint in a

268
00:12:27,120 --> 00:12:30,360
Speaker 2: federal court in California, alleging she was raped by Trump

269
00:12:30,400 --> 00:12:33,200
Speaker 2: and Epstein when she was thirteen over a four month

270
00:12:33,240 --> 00:12:36,240
Speaker 2: period from June to September ninety four. I loudly pleaded

271
00:12:36,280 --> 00:12:38,440
Speaker 2: with Trump to stop, she said in the lawsuit about

272
00:12:38,440 --> 00:12:41,160
Speaker 2: being raped. Trump responded to my pleas by violently striking

273
00:12:41,160 --> 00:12:43,600
Speaker 2: me in the face with his open hand and screaming

274
00:12:43,640 --> 00:12:47,559
Speaker 2: he could do whatever he won. Now, basically that lawsuit

275
00:12:47,600 --> 00:12:50,000
Speaker 2: goes away. Is it because there's no there there?

276
00:12:50,120 --> 00:12:52,240
Speaker 1: Or is it very possible about Maybe, yeah, it's possible.

277
00:12:52,600 --> 00:12:57,280
Speaker 2: It is because you know, what Hedges alleges here is

278
00:12:57,320 --> 00:12:59,679
Speaker 2: more likely is that Trump was able to quash the

279
00:12:59,720 --> 00:13:02,080
Speaker 2: laws by buying her silence, is what he says. And

280
00:13:02,120 --> 00:13:06,720
Speaker 2: she has since disappeared. So, you know, again, maybe it

281
00:13:06,800 --> 00:13:09,160
Speaker 2: went away because there was no there there, or maybe

282
00:13:09,200 --> 00:13:11,600
Speaker 2: he was able to use his well to make it

283
00:13:11,640 --> 00:13:14,040
Speaker 2: go away. But this all just speaks to the fact

284
00:13:14,120 --> 00:13:16,920
Speaker 2: that these entanglements, I mean, this was reported long ago,

285
00:13:17,440 --> 00:13:20,840
Speaker 2: and these entanglements, this was all. This is not conspiracy.

286
00:13:20,880 --> 00:13:23,760
Speaker 2: This is a thing that happened, and we have the

287
00:13:23,760 --> 00:13:25,920
Speaker 2: pictures together, we have the you know, the flight logs

288
00:13:25,920 --> 00:13:28,880
Speaker 2: actually came out during Gleeene Maxwell's trial. We know we

289
00:13:28,960 --> 00:13:31,079
Speaker 2: covered at the time the way that the federal garment

290
00:13:31,120 --> 00:13:34,000
Speaker 2: case that was pursued against Galeene Maxwell's well, they called

291
00:13:34,000 --> 00:13:35,600
Speaker 2: it like a thin case.

292
00:13:35,440 --> 00:13:36,160
Speaker 1: Or something like that.

293
00:13:36,720 --> 00:13:38,800
Speaker 4: It was meant to be very narrow.

294
00:13:39,080 --> 00:13:41,360
Speaker 2: So it just focused on like the things that they

295
00:13:41,360 --> 00:13:45,360
Speaker 2: felt really confident they could prove, but meant that anyone

296
00:13:45,360 --> 00:13:47,360
Speaker 2: else who may be implicated, there was not going to

297
00:13:47,360 --> 00:13:49,200
Speaker 2: be discovery around that. There was not going to be

298
00:13:49,240 --> 00:13:51,520
Speaker 2: any sort of like opening the books of which other

299
00:13:51,600 --> 00:13:54,880
Speaker 2: powerful people were ultimately involved there. And then you also

300
00:13:54,920 --> 00:13:56,960
Speaker 2: get the news, oh, hey, Trump was actually thinking about

301
00:13:57,000 --> 00:13:59,240
Speaker 2: pardoning her because he was kind of worried about what

302
00:13:59,280 --> 00:14:03,920
Speaker 2: she might say about So I think there are real, justified,

303
00:14:04,280 --> 00:14:07,720
Speaker 2: non conspiratorial reasons to look at this whole chain of

304
00:14:07,720 --> 00:14:11,760
Speaker 2: events and have some real questions about how exactly Trump

305
00:14:11,920 --> 00:14:14,560
Speaker 2: was implicated and involved. Here was he in the Epstein files.

306
00:14:14,600 --> 00:14:16,600
Speaker 2: I mean, there's no doubt about that. We know that

307
00:14:16,640 --> 00:14:18,920
Speaker 2: he's in the flight log So I guess it depends

308
00:14:18,920 --> 00:14:22,160
Speaker 2: on your definition of the Epstein files. But you know,

309
00:14:22,240 --> 00:14:24,800
Speaker 2: the extent or the nature that I think is an

310
00:14:24,840 --> 00:14:25,560
Speaker 2: open question.

311
00:14:25,760 --> 00:14:27,600
Speaker 4: But very reasonable one to ask.

312
00:14:27,840 --> 00:14:30,480
Speaker 1: Yeah, And that's just my last point on Epstein files.

313
00:14:30,520 --> 00:14:31,960
Speaker 3: And I know we've talked a lot about it, and

314
00:14:32,120 --> 00:14:34,480
Speaker 3: I do understand maybe fatigue and others, but you know,

315
00:14:34,600 --> 00:14:37,080
Speaker 3: this is important. There is no such thing as a

316
00:14:37,160 --> 00:14:41,400
Speaker 3: ledger that's just like client supports Israel now, because we

317
00:14:41,480 --> 00:14:44,560
Speaker 3: black that's not how this stuff works. What works is

318
00:14:44,600 --> 00:14:50,320
Speaker 3: the totality of documentation, flight logs, IRS, records, state filings,

319
00:14:50,840 --> 00:14:54,680
Speaker 3: LLCs passed through entities through which the money flowed in

320
00:14:55,040 --> 00:14:57,400
Speaker 3: and to where it flowed out. Now, all the public

321
00:14:57,400 --> 00:15:00,120
Speaker 3: evidence that we have right now from the nonprofit and

322
00:15:00,240 --> 00:15:03,160
Speaker 3: apparatus at Deutsche Bank and others shows a lot of

323
00:15:03,160 --> 00:15:06,640
Speaker 3: money coming in from the world's billionaires for purposes completely

324
00:15:06,720 --> 00:15:10,520
Speaker 3: unknown to us, going out to Eastern European sex trafficking rings,

325
00:15:10,760 --> 00:15:13,080
Speaker 3: paying off all a lot a whole bunch of other people,

326
00:15:13,400 --> 00:15:16,760
Speaker 3: and being used for purposes that continue to remain unknown,

327
00:15:17,040 --> 00:15:21,960
Speaker 3: very likely for intelligence purposes that implicate multiple billionaires, very

328
00:15:22,000 --> 00:15:26,960
Speaker 3: famous people, prime ministers of Israel, all sorts of the

329
00:15:27,000 --> 00:15:30,360
Speaker 3: Pritzker family, the governor right now in Illinois, all of

330
00:15:30,400 --> 00:15:34,280
Speaker 3: these people are implicated and they're using it specifically to

331
00:15:34,800 --> 00:15:37,600
Speaker 3: fund a variety of different things, But that is not

332
00:15:38,000 --> 00:15:42,640
Speaker 3: an Epstein files. That's financial records that exist right now,

333
00:15:42,800 --> 00:15:46,760
Speaker 3: the irs. If anybody could pull our documentation right now

334
00:15:46,800 --> 00:15:49,720
Speaker 3: and look at everything that we filed ever as a business,

335
00:15:49,800 --> 00:15:50,800
Speaker 3: to show exactly.

336
00:15:50,480 --> 00:15:52,160
Speaker 1: The money coming in the money going out.

337
00:15:52,360 --> 00:15:56,360
Speaker 3: The government has that, but people narrowly focus and they

338
00:15:56,400 --> 00:15:59,320
Speaker 3: make bombastic claims about the Black Book or whatever. It's like,

339
00:15:59,360 --> 00:16:01,320
Speaker 3: that's not I mean, yes, I want that release too,

340
00:16:01,360 --> 00:16:03,840
Speaker 3: But my point is is that there's an entire vast

341
00:16:04,080 --> 00:16:06,200
Speaker 3: apparatus that he was like sitting at the top of.

342
00:16:06,480 --> 00:16:08,440
Speaker 1: But there's a whole lot of stuff out of there.

343
00:16:08,520 --> 00:16:10,640
Speaker 3: So let's also not get over our skis and then,

344
00:16:11,040 --> 00:16:13,480
Speaker 3: you know, be satisfied if like, oh, they released the

345
00:16:13,480 --> 00:16:15,760
Speaker 3: Black Book, It's like, no, it goes so much deeper

346
00:16:15,760 --> 00:16:18,120
Speaker 3: than that. The question is why did Leon Black, a

347
00:16:18,160 --> 00:16:20,160
Speaker 3: man worth nine billion dollars, pay one hundred and seventy

348
00:16:20,160 --> 00:16:22,640
Speaker 3: million dollars for republic tax adfice from Jeffrey Epstein. That's

349
00:16:22,680 --> 00:16:24,440
Speaker 3: the question I want to know, And that's a much

350
00:16:24,480 --> 00:16:26,600
Speaker 3: bigger question than any so called client lists.

351
00:16:26,680 --> 00:16:28,320
Speaker 1: Where do that money go for what reason?

352
00:16:28,560 --> 00:16:30,680
Speaker 3: You know? And that's when you really start to you know,

353
00:16:30,840 --> 00:16:33,240
Speaker 3: I'm quoting the wire. When you start to follow the money,

354
00:16:33,320 --> 00:16:34,720
Speaker 3: you don't know where the fuck it's going to take you.

355
00:16:34,800 --> 00:16:36,720
Speaker 1: Yeah, so that's what I encourage people to do.

356
00:16:36,840 --> 00:16:37,920
Speaker 4: How did he make his money?

357
00:16:38,240 --> 00:16:38,440
Speaker 1: Yeah?

358
00:16:38,840 --> 00:16:41,880
Speaker 2: What happened to all the videos video recordings that we

359
00:16:41,920 --> 00:16:45,960
Speaker 2: know exists from both his Manhattan residents and the island, Like,

360
00:16:46,320 --> 00:16:50,960
Speaker 2: there are some really big unanswered questions that remain.

361
00:16:51,280 --> 00:16:55,800
Speaker 4: And you know, one edited video with a portion missing

362
00:16:56,440 --> 00:16:58,360
Speaker 4: I don't think is going to put to bed. I

363
00:16:58,400 --> 00:16:59,960
Speaker 4: agree those persistent questions.

364
00:17:00,200 --> 00:17:00,640
Speaker 6: That's right.

365
00:17:03,120 --> 00:17:04,399
Speaker 1: Okay, let's get to immigration.

366
00:17:04,560 --> 00:17:07,920
Speaker 2: Yeah, So some really interesting polling just came out from Gallup,

367
00:17:07,960 --> 00:17:09,800
Speaker 2: and I would say at this point I would call

368
00:17:09,840 --> 00:17:12,880
Speaker 2: this poll an outlier, although it is consistent with a

369
00:17:13,200 --> 00:17:17,480
Speaker 2: trend in terms of public sentiment around immigration that we

370
00:17:17,520 --> 00:17:19,960
Speaker 2: have seen reflected in other polls as well. So let's

371
00:17:19,960 --> 00:17:22,560
Speaker 2: go ahead and put this up on the screen. According

372
00:17:22,640 --> 00:17:26,879
Speaker 2: to Gallup, we now have a huge search in the

373
00:17:27,359 --> 00:17:29,600
Speaker 2: number of people who say, Hey, actually I don't want

374
00:17:29,600 --> 00:17:32,040
Speaker 2: immigration decreased. I want it to stay the same, a

375
00:17:32,080 --> 00:17:34,680
Speaker 2: significant search also in those who say actually want it increased,

376
00:17:34,920 --> 00:17:37,440
Speaker 2: in a major decline in those who say they want

377
00:17:37,440 --> 00:17:40,200
Speaker 2: it decreased. So now the plurality of people say hey,

378
00:17:40,440 --> 00:17:43,520
Speaker 2: let's just keep things status quo at the present level.

379
00:17:43,720 --> 00:17:47,760
Speaker 2: But even more significant, we actually have a record breaking

380
00:17:47,960 --> 00:17:51,520
Speaker 2: number of people who say that immigration is a good

381
00:17:51,640 --> 00:17:55,000
Speaker 2: thing for this country today. So it has spiked up

382
00:17:55,080 --> 00:17:59,000
Speaker 2: to now seventy nine percent of the public who say

383
00:17:59,160 --> 00:18:02,520
Speaker 2: overall they think immigration is a good thing for the country.

384
00:18:02,640 --> 00:18:05,600
Speaker 2: It's worth noting this number has base has always actually

385
00:18:05,600 --> 00:18:09,399
Speaker 2: been above water. The lowest was near fifty percent. That

386
00:18:09,480 --> 00:18:11,480
Speaker 2: was in the year two thousand and two, is at

387
00:18:11,480 --> 00:18:14,080
Speaker 2: fifty two percent. But even as recently as you know,

388
00:18:14,119 --> 00:18:16,000
Speaker 2: twenty twenty four, when you had sort of like a

389
00:18:16,119 --> 00:18:18,440
Speaker 2: nator in support for immigration in this country was still

390
00:18:18,440 --> 00:18:21,080
Speaker 2: at sixty four percent. But you've got a huge increase

391
00:18:21,080 --> 00:18:23,440
Speaker 2: there to a record breaking number of seventy nine percent

392
00:18:23,440 --> 00:18:25,480
Speaker 2: who are like, you know what, on net, I think

393
00:18:25,520 --> 00:18:27,760
Speaker 2: immigrants are really a benefit to this country.

394
00:18:27,960 --> 00:18:28,960
Speaker 4: They pulled a bunch.

395
00:18:28,720 --> 00:18:31,440
Speaker 2: Of other they've got, you know, you've got significant obviously

396
00:18:31,480 --> 00:18:34,840
Speaker 2: partisan divides with regards to immigration, but they pulled a

397
00:18:34,920 --> 00:18:37,479
Speaker 2: number of other questions, and the shifts are all in

398
00:18:37,520 --> 00:18:41,840
Speaker 2: the same direction, shifting towards more tolerance and support for immigration,

399
00:18:42,440 --> 00:18:46,119
Speaker 2: less tolerance and support. For example, hiring significantly more border

400
00:18:46,160 --> 00:18:50,400
Speaker 2: patrol agents. Those numbers declined by seventeen percent. And it's

401
00:18:50,400 --> 00:18:53,119
Speaker 2: not a mystery to understand, Soger why this is going on.

402
00:18:53,640 --> 00:18:57,359
Speaker 2: People are seeing the reality of the Trump administration's immigration policy.

403
00:18:57,400 --> 00:19:00,480
Speaker 2: They're seeing these raids, including ice agents and like military

404
00:19:00,560 --> 00:19:03,600
Speaker 2: year and you know, marching down suburban streets. They're riding

405
00:19:03,600 --> 00:19:07,440
Speaker 2: on horseback through a park. They're seeing alligator Alcatraz, They're

406
00:19:07,440 --> 00:19:10,480
Speaker 2: seeing seacot, the lack of due process. They're seeing the

407
00:19:10,560 --> 00:19:12,720
Speaker 2: distance between the rhetoric of hey, we're going to be

408
00:19:12,720 --> 00:19:16,120
Speaker 2: targeting the criminals to the reality of no, actually, we're

409
00:19:16,119 --> 00:19:18,000
Speaker 2: going to be going to the home depot, going to

410
00:19:18,040 --> 00:19:20,920
Speaker 2: the seven to eleven, et cetera. And it has caused

411
00:19:20,960 --> 00:19:23,200
Speaker 2: a significant, I think you can say at this point

412
00:19:23,240 --> 00:19:25,440
Speaker 2: backlash to the Trump administration's direction.

413
00:19:25,560 --> 00:19:27,080
Speaker 3: Yeah, I mean this is I warned about this in

414
00:19:27,160 --> 00:19:29,639
Speaker 3: the beginning in the Trump administration. The laws of thermostatic

415
00:19:29,640 --> 00:19:33,120
Speaker 3: public opinion. There's probably no better issue than immigration. Whenever

416
00:19:33,240 --> 00:19:35,600
Speaker 3: Trump is in office the first time around, record support

417
00:19:35,640 --> 00:19:38,720
Speaker 3: for immigration, when Biden's in office, record low support for immigration.

418
00:19:39,160 --> 00:19:41,040
Speaker 3: Now right back to where it is, the question is

419
00:19:41,040 --> 00:19:43,720
Speaker 3: about solving consensus and to the extent that I think

420
00:19:43,760 --> 00:19:46,320
Speaker 3: that the Trump administration can be criticized the most it

421
00:19:46,400 --> 00:19:49,840
Speaker 3: is for shows, and it is for shows of force

422
00:19:50,400 --> 00:19:54,280
Speaker 3: compared to any sort of semblance of process and of stability.

423
00:19:54,520 --> 00:19:57,480
Speaker 3: I talked about this during la The reason people turned

424
00:19:57,480 --> 00:20:00,240
Speaker 3: against a Biden administration was the reality of eight to

425
00:20:00,280 --> 00:20:02,840
Speaker 3: ten million people who floate illegally into our country in

426
00:20:02,880 --> 00:20:07,320
Speaker 3: an insane process. It was chaotic, and so the promise

427
00:20:07,480 --> 00:20:09,919
Speaker 3: was We're going to solve the chaos. And on the border,

428
00:20:09,960 --> 00:20:12,240
Speaker 3: it's empirically true they have I mean, their border crossings

429
00:20:12,280 --> 00:20:14,720
Speaker 3: are basically zero right now, and so in a way

430
00:20:14,920 --> 00:20:17,240
Speaker 3: they're almost benefiting from the success of the problem that

431
00:20:17,280 --> 00:20:20,119
Speaker 3: they were truly elected to solve immediately. On border, then

432
00:20:20,119 --> 00:20:23,320
Speaker 3: it's a common question of enforcement and or deportation. So

433
00:20:23,640 --> 00:20:26,840
Speaker 3: it's one thing to have deportation or increase in the

434
00:20:26,840 --> 00:20:31,639
Speaker 3: ice budget of going after criminals, increasing investigation. It's another

435
00:20:31,760 --> 00:20:34,840
Speaker 3: to send you know, active duty US Marines the streets

436
00:20:34,880 --> 00:20:38,600
Speaker 3: of Los Angeles. It's another to have alligator Alcatraz. And

437
00:20:38,640 --> 00:20:40,760
Speaker 3: then even on the question of Alcatraz, it's like one

438
00:20:40,760 --> 00:20:45,000
Speaker 3: of those questions of specifically to emphasize like the alligators

439
00:20:45,080 --> 00:20:48,080
Speaker 3: there and the vibe of it. I understand tactically why

440
00:20:48,080 --> 00:20:50,320
Speaker 3: they're doing it, which is the truth is that no

441
00:20:50,359 --> 00:20:52,840
Speaker 3: matter how much money you spend, deporting twenty to thirty

442
00:20:52,880 --> 00:20:55,840
Speaker 3: million people is like it would cost hundreds of billions

443
00:20:55,840 --> 00:20:58,119
Speaker 3: of dollars. A lot of it is about self deportation.

444
00:20:58,359 --> 00:21:00,960
Speaker 3: They have succeeded. Over a million people have steff deported

445
00:21:01,320 --> 00:21:03,960
Speaker 3: in the last six months, at least rough estimate from

446
00:21:04,000 --> 00:21:04,680
Speaker 3: the government figures.

447
00:21:04,720 --> 00:21:06,000
Speaker 1: I'm not sure if we can trust.

448
00:21:05,720 --> 00:21:08,359
Speaker 3: That per se, but what we are watching is the

449
00:21:08,359 --> 00:21:11,199
Speaker 3: thermostatic public opinion in effect. So I guess at this

450
00:21:11,280 --> 00:21:14,760
Speaker 3: point here's my advice to Democrats. Don't overread what these

451
00:21:14,800 --> 00:21:17,439
Speaker 3: things actually mean. Last time around, they're like, see, the

452
00:21:17,440 --> 00:21:20,000
Speaker 3: public is with us, and that means we shouldn't enforce

453
00:21:20,040 --> 00:21:21,040
Speaker 3: border laws at all.

454
00:21:21,160 --> 00:21:22,560
Speaker 1: Eight to ten million people is good.

455
00:21:22,560 --> 00:21:25,040
Speaker 3: We need to decriminalize border crossings, free health care for

456
00:21:25,080 --> 00:21:26,480
Speaker 3: illegals and all of this.

457
00:21:26,720 --> 00:21:27,600
Speaker 1: You guys have your.

458
00:21:27,440 --> 00:21:29,480
Speaker 3: Moment at this point, and you need to kind of

459
00:21:29,480 --> 00:21:32,240
Speaker 3: settle on like what the status quo going forward should

460
00:21:32,280 --> 00:21:35,399
Speaker 3: look like. And I think ultimately the failure of the

461
00:21:35,480 --> 00:21:39,800
Speaker 3: last multiple administrations on immigration is either punting things for

462
00:21:39,880 --> 00:21:43,720
Speaker 3: amnesty while not having a enforcement, basically allowing rage to

463
00:21:43,760 --> 00:21:48,040
Speaker 3: bubble up around the issue. I think that Trump administration, unfortunately,

464
00:21:48,040 --> 00:21:50,800
Speaker 3: has just decided, you know, for these big headline grabbing

465
00:21:50,840 --> 00:21:53,240
Speaker 3: things as opposed to actually trying to come to sort

466
00:21:53,280 --> 00:21:56,679
Speaker 3: of consensus, you know, around this, and so it is

467
00:21:56,800 --> 00:21:59,920
Speaker 3: now a live ball an issue also which they've seeded

468
00:22:00,080 --> 00:22:02,840
Speaker 3: so much ground on not just with Seacott, but by

469
00:22:02,840 --> 00:22:05,920
Speaker 3: turning it also into an Israel issue, which actually makes it,

470
00:22:05,960 --> 00:22:09,040
Speaker 3: in my opinion, much worse for them because it makes

471
00:22:09,080 --> 00:22:12,800
Speaker 3: it seem capricious to the ends of their own individual

472
00:22:12,840 --> 00:22:15,920
Speaker 3: priorities and not about America, because it's not just about.

473
00:22:15,680 --> 00:22:16,440
Speaker 1: The illegals here.

474
00:22:16,480 --> 00:22:18,480
Speaker 3: We're talking about the mahmun Khalil case, we're talking about

475
00:22:18,480 --> 00:22:21,920
Speaker 3: the oz Turk case. We're also talking about foreigners being

476
00:22:21,920 --> 00:22:24,680
Speaker 3: detained for having memes on their phone when entering the

477
00:22:24,720 --> 00:22:27,719
Speaker 3: United States under tourism visa that that, you know, the

478
00:22:27,760 --> 00:22:31,080
Speaker 3: totality of that comes down to, like, oh, hold on

479
00:22:31,119 --> 00:22:31,720
Speaker 3: a second, we.

480
00:22:31,760 --> 00:22:32,560
Speaker 1: Asked for law.

481
00:22:32,600 --> 00:22:33,960
Speaker 3: I mean, if you look at the rhetoric, it was

482
00:22:34,080 --> 00:22:36,440
Speaker 3: law and order, and I think that what we've had

483
00:22:36,520 --> 00:22:38,800
Speaker 3: right now it just strays far away from that. To

484
00:22:38,840 --> 00:22:41,879
Speaker 3: the public and specifically the Independent mind, it makes it very,

485
00:22:41,960 --> 00:22:44,200
Speaker 3: very difficult. So I actually think this is a democratic

486
00:22:44,240 --> 00:22:46,199
Speaker 3: issue now where you guys need to.

487
00:22:46,200 --> 00:22:47,200
Speaker 1: Solve it for yourselves.

488
00:22:47,440 --> 00:22:50,280
Speaker 3: And I'm curious to see what, like what ground you know,

489
00:22:50,359 --> 00:22:52,960
Speaker 3: that they end up with, for like, what what does

490
00:22:52,960 --> 00:22:56,080
Speaker 3: the next Democratic candidate actually say on the issue of immigration.

491
00:22:56,320 --> 00:22:59,120
Speaker 3: Can't be Kamala definitely can't be twenty nineteen, it can't

492
00:22:59,119 --> 00:23:01,240
Speaker 3: be twenty twenty four either. It's got to be something

493
00:23:01,280 --> 00:23:03,520
Speaker 3: authentic and kind of interesting to this moment.

494
00:23:03,800 --> 00:23:04,200
Speaker 1: Anyway.

495
00:23:04,359 --> 00:23:07,320
Speaker 2: Yeah, I think I think that's well said. And the

496
00:23:07,359 --> 00:23:10,920
Speaker 2: Israel part is interesting to me because I was seeing

497
00:23:10,920 --> 00:23:13,360
Speaker 2: the same thing. And it's not just that it makes

498
00:23:13,400 --> 00:23:15,280
Speaker 2: it seem like very clear this is just like an

499
00:23:15,320 --> 00:23:18,960
Speaker 2: ideological tool being used against you know, people the administration

500
00:23:19,280 --> 00:23:22,800
Speaker 2: doesn't like, or their ideological enemies. It also made it

501
00:23:22,840 --> 00:23:24,080
Speaker 2: feel very personal.

502
00:23:24,359 --> 00:23:26,360
Speaker 1: It is personal, you know, quite literally, yeah.

503
00:23:26,320 --> 00:23:29,240
Speaker 2: Because it was like, oh, you can't even write a

504
00:23:29,400 --> 00:23:32,480
Speaker 2: freaking op ed about this, and you're being kidnapped off

505
00:23:32,520 --> 00:23:33,320
Speaker 2: the streets.

506
00:23:33,680 --> 00:23:35,080
Speaker 4: That's insane.

507
00:23:35,160 --> 00:23:38,480
Speaker 2: And so when you had that combined at the very

508
00:23:38,520 --> 00:23:42,240
Speaker 2: same time with these guys, many of whom were completely

509
00:23:42,240 --> 00:23:45,760
Speaker 2: innocent kill mar Bergo Garcia, of course, who was wrongfully

510
00:23:46,160 --> 00:23:50,320
Speaker 2: deported with zero due process. It doesn't take a genius

511
00:23:50,359 --> 00:23:52,439
Speaker 2: either to figure out like, oh, if they get moon

512
00:23:52,560 --> 00:23:54,440
Speaker 2: jew process, Like they didn't even have to prove that

513
00:23:54,480 --> 00:23:57,199
Speaker 2: they were illegal immigrants, Like they could just ship down

514
00:23:57,280 --> 00:23:59,840
Speaker 2: anyone that they wanted to so very quickly out of

515
00:23:59,840 --> 00:24:03,160
Speaker 2: the gates. It became no longer about oh, some sort

516
00:24:03,200 --> 00:24:08,160
Speaker 2: of undefined, distant group of potential criminals. It became like, oh,

517
00:24:08,200 --> 00:24:10,560
Speaker 2: this is about us, This is about all of us.

518
00:24:10,880 --> 00:24:13,280
Speaker 2: And I think that really, you know, the kil Mar

519
00:24:13,359 --> 00:24:17,160
Speaker 2: Brego Garcia case really was a turning point in terms

520
00:24:17,240 --> 00:24:21,400
Speaker 2: of Trump administration numbers on this issue. And so while

521
00:24:21,480 --> 00:24:22,960
Speaker 2: you know, I think you're right, I think Democrats have

522
00:24:23,000 --> 00:24:24,639
Speaker 2: to figure out, you know, how do you have your

523
00:24:24,680 --> 00:24:27,040
Speaker 2: own semblance of like, Okay, this is going to be

524
00:24:27,119 --> 00:24:28,760
Speaker 2: there's going to be order, because I do think people

525
00:24:28,840 --> 00:24:30,879
Speaker 2: want to feel like, Okay, we know who's coming in

526
00:24:30,920 --> 00:24:32,480
Speaker 2: and there's some sort of a process here, and it

527
00:24:32,520 --> 00:24:35,560
Speaker 2: makes sense. But I do also think that there's lessons

528
00:24:35,560 --> 00:24:37,520
Speaker 2: for centrist here. I mean, number one, there was this

529
00:24:37,520 --> 00:24:39,480
Speaker 2: assumption that just like the immigration numbers are what they

530
00:24:39,480 --> 00:24:41,159
Speaker 2: are and there's absolutely nothing we can do about it.

531
00:24:41,160 --> 00:24:44,280
Speaker 2: That's clearly not true. People change their minds based on

532
00:24:44,359 --> 00:24:46,760
Speaker 2: reality and what arguments are being presented to them, and

533
00:24:46,840 --> 00:24:49,080
Speaker 2: like how the issue is being framed, and you know

534
00:24:49,200 --> 00:24:52,040
Speaker 2: just what reality is at the time, So a public

535
00:24:52,080 --> 00:24:56,240
Speaker 2: opinion canon does change. Number one and number two, there

536
00:24:56,280 --> 00:24:59,600
Speaker 2: was a real reluctance from centrist in particular to fight

537
00:24:59,640 --> 00:25:02,200
Speaker 2: even on something like kil Maara Brego Garcia. Remember they

538
00:25:02,200 --> 00:25:04,119
Speaker 2: were like, you should just be talking about the price

539
00:25:04,119 --> 00:25:07,880
Speaker 2: of eggs. Well, now at this point, actually Trump's immigration

540
00:25:08,080 --> 00:25:12,080
Speaker 2: numbers have fallen off even more than his economic numbers

541
00:25:12,440 --> 00:25:14,560
Speaker 2: and are one of this sort of key sources of

542
00:25:14,560 --> 00:25:18,800
Speaker 2: dissatisfaction with the public. So that was a dead wrong analysis.

543
00:25:18,800 --> 00:25:20,240
Speaker 2: It was wrong morally in my opinion, but it was

544
00:25:20,280 --> 00:25:23,840
Speaker 2: also wrong politically, and people like Chris van Holland who

545
00:25:23,880 --> 00:25:26,280
Speaker 2: went down to El Salvador and you know the folks

546
00:25:26,320 --> 00:25:28,520
Speaker 2: who really made this and prioritize that issue.

547
00:25:28,760 --> 00:25:30,040
Speaker 4: Again, it was the right moral thing.

548
00:25:30,080 --> 00:25:33,080
Speaker 2: It was also the right political choice and has now

549
00:25:33,160 --> 00:25:35,800
Speaker 2: created a weakness for Trump on the issue where he

550
00:25:35,880 --> 00:25:38,760
Speaker 2: was previously strongest, which is a classic political tactic of like,

551
00:25:38,960 --> 00:25:42,040
Speaker 2: don't you go after the person's strength. That's actually the

552
00:25:42,080 --> 00:25:44,800
Speaker 2: best way to bring someone down. So I think you

553
00:25:44,840 --> 00:25:48,920
Speaker 2: had a combination of number one, this became very quickly like, oh,

554
00:25:48,920 --> 00:25:50,600
Speaker 2: this isn't about them, this is about us.

555
00:25:50,920 --> 00:25:51,440
Speaker 4: Number two.

556
00:25:51,520 --> 00:25:55,240
Speaker 2: I do think the imagery that they are intentionally cultivating

557
00:25:55,440 --> 00:25:58,600
Speaker 2: to try to trigger these self deportations, you know, and

558
00:25:58,640 --> 00:26:01,560
Speaker 2: this is all being run by Steve Miller, that same

559
00:26:01,680 --> 00:26:06,480
Speaker 2: imagery of the ICE agents always being masked, of sometimes

560
00:26:06,520 --> 00:26:10,159
Speaker 2: not identifying themselves, not having warrants, the show of force

561
00:26:10,320 --> 00:26:13,200
Speaker 2: with like all of this fricking military gear, the literal

562
00:26:13,240 --> 00:26:16,520
Speaker 2: deployment of National guardsmen and Marines in the streets of

563
00:26:16,680 --> 00:26:20,680
Speaker 2: La the way that these shows of force have occurred

564
00:26:20,720 --> 00:26:23,119
Speaker 2: in just like you know, there was there's a video

565
00:26:23,160 --> 00:26:26,159
Speaker 2: of like ICE agents all kitted out marching down the

566
00:26:26,200 --> 00:26:27,640
Speaker 2: street in suburban Utah.

567
00:26:27,440 --> 00:26:28,360
Speaker 4: People like what are the fuck?

568
00:26:28,400 --> 00:26:29,320
Speaker 1: What the fuck is.

569
00:26:29,320 --> 00:26:31,480
Speaker 2: Going on here to arrest them? Like landscape or what

570
00:26:31,560 --> 00:26:34,879
Speaker 2: is going on? So I think that in addition to

571
00:26:35,240 --> 00:26:39,159
Speaker 2: then Seacott and the cruelty there Alligator Alcatraz and the like,

572
00:26:39,200 --> 00:26:43,280
Speaker 2: it's very intentional, the language choice and the decision to

573
00:26:43,400 --> 00:26:46,800
Speaker 2: sort of highlight the punitive nature of what is being

574
00:26:46,840 --> 00:26:48,520
Speaker 2: done here. I think when you put all of those

575
00:26:48,520 --> 00:26:51,320
Speaker 2: things together and that sense of like this is actually

576
00:26:51,359 --> 00:26:55,000
Speaker 2: creating more chaos in my community. I think those things

577
00:26:55,000 --> 00:26:57,680
Speaker 2: that have sort of like turned this issue as significantly

578
00:26:57,680 --> 00:26:58,560
Speaker 2: as I don't have.

579
00:26:58,760 --> 00:27:01,040
Speaker 3: Really agree I would, but also caution for a lot

580
00:27:01,080 --> 00:27:02,720
Speaker 3: of people is and this is always my problem with

581
00:27:02,760 --> 00:27:05,399
Speaker 3: the talk about immigration. They don't distinguish in the Gallop

582
00:27:05,400 --> 00:27:07,800
Speaker 3: poll between legal and illegal immigration. And I would be

583
00:27:07,840 --> 00:27:10,080
Speaker 3: willing to bet that if you actually looked at the

584
00:27:10,119 --> 00:27:13,160
Speaker 3: way that people feel about unchecked illegal migration, like what

585
00:27:13,200 --> 00:27:15,639
Speaker 3: was happening under the Biden administration, I'd be willing to

586
00:27:15,640 --> 00:27:18,239
Speaker 3: bet that those are still some pretty negative numbers. And

587
00:27:18,280 --> 00:27:20,240
Speaker 3: that's part of why for the Democrats in the future,

588
00:27:20,359 --> 00:27:22,520
Speaker 3: you guys need to figure out like how you can

589
00:27:22,560 --> 00:27:24,960
Speaker 3: find come to some sort of consensus on the issue.

590
00:27:25,040 --> 00:27:26,960
Speaker 3: The way that the Republicans got to where they are

591
00:27:27,080 --> 00:27:29,880
Speaker 3: right now is that for basically forty years they were

592
00:27:29,880 --> 00:27:33,480
Speaker 3: told amnesty is good, will do amnesty and eventual do

593
00:27:33,560 --> 00:27:36,640
Speaker 3: border security, and in that time, the illegal immigration population

594
00:27:36,800 --> 00:27:41,000
Speaker 3: explodes under Bush, under Obama, under Trump, and eventually they're like, no,

595
00:27:41,160 --> 00:27:44,159
Speaker 3: I'm done, and then Biden of course is like fire forever,

596
00:27:44,200 --> 00:27:46,120
Speaker 3: and so they don't even want to talk here about

597
00:27:46,160 --> 00:27:49,800
Speaker 3: amnesty until a massive deportation effort begins to happen on

598
00:27:49,880 --> 00:27:53,359
Speaker 3: the immigration side, and question for the Democrats, it's also

599
00:27:53,440 --> 00:27:57,960
Speaker 3: still remains like immigration numbers have fallen for Trump, it's

600
00:27:57,960 --> 00:28:00,480
Speaker 3: still one of his stronger issues. And you know, it's

601
00:28:00,480 --> 00:28:02,720
Speaker 3: not like you can't exactly get to a place where

602
00:28:02,720 --> 00:28:04,719
Speaker 3: you could declare a legitimate victory. I mean, look at

603
00:28:04,720 --> 00:28:07,880
Speaker 3: the border security numbers or the border crossing numbers from

604
00:28:07,920 --> 00:28:09,440
Speaker 3: the Biden administration compared.

605
00:28:09,119 --> 00:28:11,360
Speaker 1: Today, it's unbelievable in a way.

606
00:28:11,359 --> 00:28:13,680
Speaker 3: They're almost a victim of their own success because now

607
00:28:13,720 --> 00:28:17,160
Speaker 3: people are looking at the deportation efforts in Los Angeles

608
00:28:17,200 --> 00:28:19,520
Speaker 3: or Utah or whatever, and there's no more chaos at

609
00:28:19,520 --> 00:28:21,560
Speaker 3: the border because it's a solved question. It's like, no,

610
00:28:21,600 --> 00:28:23,800
Speaker 3: you're staying in Mexico and you're not coming here. So

611
00:28:23,960 --> 00:28:27,080
Speaker 3: the question is they're around what the future looks like

612
00:28:27,320 --> 00:28:30,160
Speaker 3: for our policy and look on the Trump administration thing.

613
00:28:30,320 --> 00:28:33,480
Speaker 3: I generally my problem for them at least, you know,

614
00:28:33,480 --> 00:28:36,200
Speaker 3: as somebody was generally sympathetic, I like, I still support

615
00:28:36,280 --> 00:28:39,120
Speaker 3: mass deportation, but the way that they had done it

616
00:28:39,160 --> 00:28:42,680
Speaker 3: is such that their trust in all their information is zero.

617
00:28:43,120 --> 00:28:46,920
Speaker 3: After Seacott, YEA, because they said very specifically.

618
00:28:46,440 --> 00:28:48,400
Speaker 1: Maybe I'm a fool. I believe them.

619
00:28:48,640 --> 00:28:51,040
Speaker 3: I was like, okay, I mean, these guys are gang members,

620
00:28:51,160 --> 00:28:53,800
Speaker 3: I said. The federal government for years has always validated

621
00:28:53,840 --> 00:28:56,040
Speaker 3: gang movement. This is not a difficult policy to be

622
00:28:56,080 --> 00:28:58,320
Speaker 3: able to figure out. Go ask anybody in the Bureau

623
00:28:58,360 --> 00:29:00,320
Speaker 3: of Prisons. There's an entire process. How do we valid

624
00:29:00,480 --> 00:29:03,200
Speaker 3: people who are in gangs? Maybe there's some questions around that,

625
00:29:03,240 --> 00:29:04,960
Speaker 3: but fine, Well, broadly, I was like, I don't think

626
00:29:04,960 --> 00:29:06,280
Speaker 3: we have a bunch of an issue. And then you

627
00:29:06,320 --> 00:29:08,080
Speaker 3: look at the stuff and you're like, okay, I mean

628
00:29:08,160 --> 00:29:09,840
Speaker 3: there's a lie. And then you look at the Israel

629
00:29:09,840 --> 00:29:11,880
Speaker 3: stuff and you're like, okay, well that's a lie too,

630
00:29:12,200 --> 00:29:15,280
Speaker 3: And so you start to get a credibility gap on

631
00:29:15,320 --> 00:29:18,280
Speaker 3: the issue such that you really, even when you are,

632
00:29:18,560 --> 00:29:21,280
Speaker 3: in my opinion, sometimes deporting people really deservely you need

633
00:29:21,320 --> 00:29:22,320
Speaker 3: to get the hell out of here.

634
00:29:22,280 --> 00:29:23,240
Speaker 1: Shouldn't even be here.

635
00:29:23,640 --> 00:29:26,160
Speaker 3: But then you have an open conversation where people are

636
00:29:26,200 --> 00:29:27,680
Speaker 3: not even going to be able to trust some of

637
00:29:27,720 --> 00:29:29,400
Speaker 3: the facts that you're putting out. And so when you

638
00:29:29,440 --> 00:29:31,520
Speaker 3: have that out on the ether, I think it's very

639
00:29:31,640 --> 00:29:33,800
Speaker 3: very difficult for all of them. But I don't know

640
00:29:33,840 --> 00:29:36,160
Speaker 3: I mean, look for me, there's I had a conversation

641
00:29:36,200 --> 00:29:39,480
Speaker 3: in twenty sixteen with somebody who I really respect, and

642
00:29:39,520 --> 00:29:41,440
Speaker 3: he said, Donald Trump will be the worst thing that

643
00:29:41,480 --> 00:29:44,520
Speaker 3: ever happened to the immigration restriction movement.

644
00:29:44,560 --> 00:29:46,160
Speaker 1: And I was like, what the fuck are you talking about?

645
00:29:46,360 --> 00:29:49,160
Speaker 3: And he was like, listen, guys, what's going to happen

646
00:29:49,320 --> 00:29:51,360
Speaker 3: is they're going to go full retard. They're going to

647
00:29:51,400 --> 00:29:53,120
Speaker 3: do it in the dumbest way possible, and they're going

648
00:29:53,160 --> 00:29:56,000
Speaker 3: to polarize the public against all of this. And I

649
00:29:56,040 --> 00:29:57,800
Speaker 3: was like, yeah, that maybe it's valid, but look at

650
00:29:57,800 --> 00:30:00,680
Speaker 3: all these other Republicans they're all pro amnesty and all

651
00:30:00,680 --> 00:30:00,960
Speaker 3: of that.

652
00:30:01,280 --> 00:30:03,440
Speaker 1: And now I'm starting to think he might be right.

653
00:30:03,480 --> 00:30:05,440
Speaker 1: But I mean, it took years for I guess, like.

654
00:30:05,400 --> 00:30:06,520
Speaker 4: What's happening about Sara?

655
00:30:06,800 --> 00:30:08,600
Speaker 3: In some ways, yeah, you're right, it's like if you

656
00:30:08,600 --> 00:30:10,120
Speaker 3: you know, in some ways it's like maybe this was

657
00:30:10,160 --> 00:30:12,200
Speaker 3: the enemy of the cause all along. The counter for

658
00:30:12,240 --> 00:30:13,840
Speaker 3: what they would say is nobody else has the balls

659
00:30:13,880 --> 00:30:15,680
Speaker 3: to just do it. He's in his second term, he's

660
00:30:15,720 --> 00:30:17,280
Speaker 3: got three and a half more years to go. You

661
00:30:17,280 --> 00:30:18,720
Speaker 3: can get a lot of million people out of this

662
00:30:18,720 --> 00:30:20,000
Speaker 3: country and nobody else will do it.

663
00:30:20,080 --> 00:30:22,560
Speaker 1: And then from that point forward it's a future question.

664
00:30:22,680 --> 00:30:24,959
Speaker 3: I guess I could see both sides, but you know,

665
00:30:25,160 --> 00:30:27,360
Speaker 3: as somebody who generally like kind of likes to see

666
00:30:27,360 --> 00:30:29,760
Speaker 3: some sort of consensus on the issue, I don't see

667
00:30:29,760 --> 00:30:30,840
Speaker 3: it coming anytime.

668
00:30:30,480 --> 00:30:31,280
Speaker 4: Soon on this.

669
00:30:31,400 --> 00:30:34,000
Speaker 2: In this particular poll, he only gets thirty five percent

670
00:30:34,000 --> 00:30:35,040
Speaker 2: approval of his handle.

671
00:30:35,160 --> 00:30:37,840
Speaker 1: Like you said, it's still a leading out.

672
00:30:37,440 --> 00:30:43,360
Speaker 2: Thirty five percent. And among independents you have enjoing the

673
00:30:43,360 --> 00:30:46,800
Speaker 2: math I'm bud at math sixty nine percent disapproval, forty

674
00:30:46,840 --> 00:30:51,640
Speaker 2: five percent of them strongly disapprove. So almost half of

675
00:30:51,720 --> 00:30:55,720
Speaker 2: Independence say they strongly disapprove, and then an additional twenty

676
00:30:55,760 --> 00:30:59,040
Speaker 2: four percent says they disapprove, but not strongly. And then

677
00:30:59,080 --> 00:31:01,920
Speaker 2: you only have twenty eight eight percent who approve this

678
00:31:02,080 --> 00:31:05,480
Speaker 2: again Independence that I'm talking about here, who say they approve.

679
00:31:06,320 --> 00:31:09,959
Speaker 2: So you know, it's obviously highly polarized. Republicans are very content,

680
00:31:10,080 --> 00:31:13,400
Speaker 2: very happy with the immigration policy. Democrats are eighty one

681
00:31:13,400 --> 00:31:16,959
Speaker 2: percent say they strongly disapprove. But that number from Independence

682
00:31:16,960 --> 00:31:21,040
Speaker 2: to me was really quite significant, and you know they're

683
00:31:21,200 --> 00:31:24,560
Speaker 2: they're not letting up. They just passed the one big

684
00:31:24,560 --> 00:31:28,120
Speaker 2: beautiful bill which is going to surge massive amounts of

685
00:31:28,160 --> 00:31:33,040
Speaker 2: resources into ice and so you know, to you're talking

686
00:31:33,080 --> 00:31:37,880
Speaker 2: about whatever we're seeing now. Times however much no, I

687
00:31:37,920 --> 00:31:41,960
Speaker 2: will say these organizations are often incompetent. I think they'll

688
00:31:42,000 --> 00:31:45,360
Speaker 2: have a hard time hiring and deploying, and you know,

689
00:31:45,400 --> 00:31:47,120
Speaker 2: a bunch of the money will just be basically like

690
00:31:47,200 --> 00:31:50,360
Speaker 2: stolen by private prison contractors who never really deliver what

691
00:31:50,360 --> 00:31:53,320
Speaker 2: they promise and other consultants, et cetera. So there will

692
00:31:53,320 --> 00:31:55,800
Speaker 2: be some discount on the money that's actually allocated, but

693
00:31:55,800 --> 00:31:57,600
Speaker 2: they're about to have all of the resources in the

694
00:31:57,600 --> 00:32:02,920
Speaker 2: world to do whatever they want. One of the things

695
00:32:02,960 --> 00:32:05,920
Speaker 2: that I think is contributing to these very grim numbers

696
00:32:05,960 --> 00:32:08,400
Speaker 2: on an issue that was previously a strength for Donald

697
00:32:08,400 --> 00:32:14,160
Speaker 2: Trump is the display of Alligate so called Alligator Alcatraz

698
00:32:14,200 --> 00:32:16,040
Speaker 2: down in Florida. You just had a couple of members

699
00:32:16,040 --> 00:32:19,440
Speaker 2: of Congress go and tour that facility, and there had

700
00:32:19,440 --> 00:32:21,840
Speaker 2: been previous reporting too. To back up the comments here

701
00:32:21,840 --> 00:32:23,720
Speaker 2: from We're going to play a little bit of Maxwell

702
00:32:23,720 --> 00:32:27,640
Speaker 2: Frost about the truly abhorrent conditions in which people are

703
00:32:27,680 --> 00:32:30,120
Speaker 2: being held within this facility. Let's go and take a

704
00:32:30,160 --> 00:32:31,760
Speaker 2: listen to a little bit of what he had to say.

705
00:32:32,080 --> 00:32:35,080
Speaker 9: They opened the door. There was about six security guards

706
00:32:35,080 --> 00:32:38,240
Speaker 9: standing there kind of pushing us back, but we could

707
00:32:38,320 --> 00:32:41,480
Speaker 9: see in and we could hear everybody. And when those

708
00:32:41,480 --> 00:32:45,160
Speaker 9: doors open, you know, what I saw made my heart sink.

709
00:32:45,760 --> 00:32:50,240
Speaker 9: I saw thirty two people per cage, about six cages

710
00:32:50,240 --> 00:32:54,479
Speaker 9: in the one ten. I saw a lot of people,

711
00:32:54,560 --> 00:32:57,120
Speaker 9: young men who looked like me and people who are

712
00:32:57,160 --> 00:33:01,360
Speaker 9: my age. People were yelling, helped me, helped me. I

713
00:33:01,400 --> 00:33:03,640
Speaker 9: heard in the back someone say I'm a US citizen.

714
00:33:04,720 --> 00:33:07,440
Speaker 9: And as we were walking away, they started chanting, leave

715
00:33:07,480 --> 00:33:12,640
Speaker 9: it that, leave it that with that freedom, and I

716
00:33:13,000 --> 00:33:16,320
Speaker 9: looking into these cages, you could see, of course, it

717
00:33:16,400 --> 00:33:19,800
Speaker 9: was warm and hot. Within the tent. People were sweating people.

718
00:33:19,880 --> 00:33:23,600
Speaker 9: Some people had taken off their their their their the

719
00:33:23,640 --> 00:33:26,120
Speaker 9: top of their clothing because it was just so hot.

720
00:33:26,360 --> 00:33:29,280
Speaker 9: Some of them were drenched in sweat. The food we

721
00:33:29,320 --> 00:33:34,160
Speaker 9: saw is not enough food. They're being fed essentially a

722
00:33:34,200 --> 00:33:38,520
Speaker 9: small sandwich and a bag of chips, and not just that,

723
00:33:38,880 --> 00:33:43,480
Speaker 9: but the conditions outside. Of course, it's blazing hot, and

724
00:33:43,520 --> 00:33:48,400
Speaker 9: the fact that in the cage comes from the toilet

725
00:33:49,520 --> 00:33:51,440
Speaker 9: number one. Not everyone's gonna be able to drink as much

726
00:33:51,480 --> 00:33:53,840
Speaker 9: water as they'd like to because of that inconvenience, but

727
00:33:53,880 --> 00:33:56,520
Speaker 9: also it's gross and it's discussing, and this is where

728
00:33:56,520 --> 00:33:57,400
Speaker 9: people are being held.

729
00:33:57,880 --> 00:34:00,760
Speaker 2: So we've seen reporting indicating and backing up what he's

730
00:34:00,760 --> 00:34:03,880
Speaker 2: saying there. We've seen reporting of worms in the food.

731
00:34:04,040 --> 00:34:07,320
Speaker 2: We've seen reporting of toilets that don't flush and sewage

732
00:34:08,000 --> 00:34:11,680
Speaker 2: on the floor, insect infestations and the like. And then

733
00:34:11,680 --> 00:34:13,600
Speaker 2: you ask yourself, soccer to your point, like, Okay, well,

734
00:34:13,640 --> 00:34:16,320
Speaker 2: who are they sending there? Because this is another instance

735
00:34:16,360 --> 00:34:18,600
Speaker 2: where we were told this is only for the worst

736
00:34:18,640 --> 00:34:20,920
Speaker 2: of the worst. Right, let's put this up on the screen.

737
00:34:20,960 --> 00:34:23,480
Speaker 2: Miami Herald has been doing some great work on this.

738
00:34:24,400 --> 00:34:29,160
Speaker 2: Hundreds at Alligator Alcatraz actually have no criminal charges whatsoever.

739
00:34:29,640 --> 00:34:32,040
Speaker 2: So again, you know, similar to what we saw when

740
00:34:32,040 --> 00:34:34,799
Speaker 2: they sent immigrants to Guantanamo Bay, similar to what we

741
00:34:34,840 --> 00:34:38,239
Speaker 2: saw when they sent immigrants to Seacott. In spite of

742
00:34:38,280 --> 00:34:41,320
Speaker 2: the representation that this would be the worst of the worst,

743
00:34:41,560 --> 00:34:44,400
Speaker 2: in fact, you're sending many hundreds of hundreds of people

744
00:34:44,440 --> 00:34:48,560
Speaker 2: here who have no criminal charges in the United States whatsoever.

745
00:34:49,080 --> 00:34:52,759
Speaker 2: And you know, it's completely at odds with the portrayal

746
00:34:52,840 --> 00:34:54,960
Speaker 2: here and some of the people who have been picked up.

747
00:34:54,960 --> 00:34:57,160
Speaker 2: It's just like, oh, they you know, how to traffic

748
00:34:57,200 --> 00:35:00,680
Speaker 2: ticket something of that nature. And I think Maxwell Frost

749
00:35:00,680 --> 00:35:03,480
Speaker 2: in that particular side said that he heard people saying, Hey,

750
00:35:03,520 --> 00:35:06,360
Speaker 2: I'm a US citizen, and you know, it's very Maybe

751
00:35:06,360 --> 00:35:09,839
Speaker 2: maybe not, but it's just you can't trust this administration

752
00:35:10,080 --> 00:35:13,880
Speaker 2: to handle any of this in anything approaching an appropriate manner,

753
00:35:13,880 --> 00:35:15,960
Speaker 2: and they will just lie about the types of people

754
00:35:16,080 --> 00:35:17,960
Speaker 2: that they are ultimately picking up here.

755
00:35:18,040 --> 00:35:21,439
Speaker 1: Yeah, it is difficult. I mean I am very torn.

756
00:35:21,480 --> 00:35:23,600
Speaker 3: I'm somebody who's I mean, I don't think it's you

757
00:35:23,760 --> 00:35:25,960
Speaker 3: would admit you know, you would admit this. I'm radical

758
00:35:26,360 --> 00:35:27,800
Speaker 3: on the issue. At the end of the day, I

759
00:35:27,800 --> 00:35:29,880
Speaker 3: don't believe in exclusion. If you came here illegally, I

760
00:35:29,880 --> 00:35:31,560
Speaker 3: think you should go. I mean, I'm fine with the

761
00:35:31,960 --> 00:35:33,719
Speaker 3: you know, prioritization and all of that.

762
00:35:33,719 --> 00:35:36,000
Speaker 1: But yeah, I don't know. I personally just get very you.

763
00:35:36,000 --> 00:35:38,000
Speaker 3: Know, annoyed, Like I mean, do we have any of

764
00:35:38,080 --> 00:35:42,840
Speaker 3: that raid footage of the California thing that that's the

765
00:35:42,880 --> 00:35:45,920
Speaker 3: perfect example to me, Like you have a weed farm,

766
00:35:46,480 --> 00:35:49,880
Speaker 3: a weed farm which is still federally illegal, where you

767
00:35:49,960 --> 00:35:53,520
Speaker 3: have people who are illegal working there, nine of whom

768
00:35:53,560 --> 00:35:57,000
Speaker 3: are unaccompanied minors. Many of whom almost all are illegal,

769
00:35:57,400 --> 00:36:00,439
Speaker 3: so that people in California can get high and they

770
00:36:00,560 --> 00:36:02,440
Speaker 3: are working at like slave wages.

771
00:36:02,760 --> 00:36:04,880
Speaker 1: It's like, how is that a reasonable system?

772
00:36:04,960 --> 00:36:07,240
Speaker 3: Like why is the governor of California and other standing

773
00:36:07,320 --> 00:36:09,040
Speaker 3: up and saying, actually, this is all.

774
00:36:08,920 --> 00:36:11,319
Speaker 1: Totally above board. I'm like, no, this is disgusting. It's

775
00:36:11,360 --> 00:36:12,160
Speaker 1: bad for the kids.

776
00:36:12,480 --> 00:36:14,400
Speaker 3: And then it's like the only time anybody expresses in

777
00:36:14,440 --> 00:36:17,359
Speaker 3: the outrage is whenever you send people who are being

778
00:36:17,360 --> 00:36:19,640
Speaker 3: exploited here back to where they came from.

779
00:36:19,680 --> 00:36:21,600
Speaker 1: It's like the whole system is all fucked up.

780
00:36:21,880 --> 00:36:24,480
Speaker 3: But I don't know, people only care when they're removed

781
00:36:24,520 --> 00:36:26,719
Speaker 3: the status quo seems like fine. I mean, I don't

782
00:36:26,719 --> 00:36:29,000
Speaker 3: think you support that, but you know, functionally, that's where

783
00:36:29,000 --> 00:36:32,200
Speaker 3: the Democratic Party was on the immigration issue. All this

784
00:36:32,280 --> 00:36:36,160
Speaker 3: slave labor is totally okay, all of this unchecked illegal migration.

785
00:36:36,560 --> 00:36:38,960
Speaker 3: You know, you have children basically working in these like

786
00:36:39,120 --> 00:36:42,000
Speaker 3: marijuana fields so that rich yuppies in Venice Beach can

787
00:36:42,040 --> 00:36:44,480
Speaker 3: get high. I'm like, I'm sorry, that's a gross like

788
00:36:44,719 --> 00:36:47,399
Speaker 3: order to the way that our whole society works. And

789
00:36:47,560 --> 00:36:50,000
Speaker 3: it's like we only care whenever somebody goes and like

790
00:36:50,040 --> 00:36:52,480
Speaker 3: you know, either takes care or arrests them. Some of

791
00:36:52,480 --> 00:36:56,040
Speaker 3: these people who have like serious criminal charges. That's where

792
00:36:56,120 --> 00:36:58,560
Speaker 3: you know, everyone's like, oh the cruelty of this is

793
00:36:58,560 --> 00:37:00,440
Speaker 3: there no cruelty? And the fact that these you know,

794
00:37:00,480 --> 00:37:03,200
Speaker 3: these kids are like working to like pick weed so

795
00:37:03,239 --> 00:37:05,719
Speaker 3: that people rich yuppies or whatever can get high. I

796
00:37:05,760 --> 00:37:08,439
Speaker 3: think that's cruel. I think it's bad. Why didn't nobody

797
00:37:08,440 --> 00:37:10,400
Speaker 3: say anything when they were being sent here across the border.

798
00:37:10,440 --> 00:37:12,920
Speaker 3: What kind of parents is sending their kid illegally across

799
00:37:12,960 --> 00:37:14,680
Speaker 3: the border to go work in a weed field? And

800
00:37:14,760 --> 00:37:16,680
Speaker 3: yet oh, these are an asylum and all, It's like, no,

801
00:37:16,719 --> 00:37:17,880
Speaker 3: I'm sorry, that's bullshit.

802
00:37:18,160 --> 00:37:19,080
Speaker 1: I mean, nobody cared.

803
00:37:19,160 --> 00:37:21,520
Speaker 2: I don't really personally care what type of farm it is.

804
00:37:21,680 --> 00:37:23,719
Speaker 2: But I mean, here's the thing, though, Zabrea, is that

805
00:37:23,800 --> 00:37:28,400
Speaker 2: like you're expressing a view of caring about cruelty or

806
00:37:28,440 --> 00:37:31,960
Speaker 2: like human rights and dignity, And so when you see someone.

807
00:37:31,680 --> 00:37:34,120
Speaker 4: Who's being exploited by.

808
00:37:33,960 --> 00:37:38,160
Speaker 2: A system where you know, they're like, these farms are

809
00:37:38,200 --> 00:37:43,120
Speaker 2: probably our labor abuses hiring literal children, which is outrageous,

810
00:37:43,160 --> 00:37:45,640
Speaker 2: Like they should be prosecuted for that, no doubt about it.

811
00:37:45,960 --> 00:37:49,320
Speaker 2: But then you're taking the farm worker and you're shipping

812
00:37:49,360 --> 00:37:52,080
Speaker 2: them to, you know, a place like Alligator Alcatraz or

813
00:37:52,160 --> 00:37:54,520
Speaker 2: just like out of the country. No do process to

814
00:37:54,640 --> 00:37:59,400
Speaker 2: be abused and effectively tortured and held in completely inhumane conditions.

815
00:38:00,320 --> 00:38:02,960
Speaker 2: That is certainly not a reflection of any sort of

816
00:38:03,000 --> 00:38:06,000
Speaker 2: concern for humanity or dignity.

817
00:38:06,080 --> 00:38:07,319
Speaker 1: I don't disagree per se.

818
00:38:07,400 --> 00:38:09,120
Speaker 3: But it's like, look, it's a stop off on the

819
00:38:09,120 --> 00:38:11,920
Speaker 3: way for deportation. You're not supposed to be here. Like,

820
00:38:12,000 --> 00:38:13,960
Speaker 3: at the end of the day, you came here illegally.

821
00:38:14,000 --> 00:38:17,279
Speaker 3: There are consequences for breaking the law. And it's there's

822
00:38:17,320 --> 00:38:19,719
Speaker 3: also this idea that there's like a statue of limitations.

823
00:38:19,719 --> 00:38:22,240
Speaker 3: It's like, oh, but they've been here for years. It's like, okay,

824
00:38:22,360 --> 00:38:24,239
Speaker 3: I mean you came here, you shouldn't have been here.

825
00:38:24,400 --> 00:38:25,520
Speaker 1: You're working illegally.

826
00:38:25,880 --> 00:38:29,279
Speaker 3: Of course you're liable to consequences for your actions. It's like,

827
00:38:29,280 --> 00:38:30,960
Speaker 3: we take you an agency away from these.

828
00:38:31,000 --> 00:38:32,880
Speaker 2: I think you have to anolge this, but I think

829
00:38:32,920 --> 00:38:34,879
Speaker 2: you have to acknowledge though. I mean, the point of

830
00:38:34,920 --> 00:38:40,760
Speaker 2: a place like Alligator Alcatraz is a demonstration of horror.

831
00:38:40,840 --> 00:38:42,600
Speaker 2: I mean that's what it is intended to do, and

832
00:38:42,600 --> 00:38:44,680
Speaker 2: that's the reason also for like you know, there's a

833
00:38:44,719 --> 00:38:48,400
Speaker 2: freaking like helicopter that landed in the field deliver farm ry,

834
00:38:48,840 --> 00:38:52,319
Speaker 2: you know, and they're coming in in these armored vehicles

835
00:38:52,400 --> 00:38:55,440
Speaker 2: and with you know, the military gear and all of

836
00:38:55,480 --> 00:38:58,280
Speaker 2: these sorts of things, Like it's meant to terrorize.

837
00:38:58,320 --> 00:39:01,160
Speaker 4: That's that is the goal. It's meant to to terrorize.

838
00:39:01,280 --> 00:39:03,600
Speaker 2: And so while I think it's you know, it's it's

839
00:39:03,640 --> 00:39:06,360
Speaker 2: certainly reasonable. Okay, well, how many people can you know,

840
00:39:06,400 --> 00:39:08,600
Speaker 2: can we absorb and what's the appropriate level?

841
00:39:08,640 --> 00:39:10,920
Speaker 4: Like these are questions nations have to ask themselves.

842
00:39:11,600 --> 00:39:14,319
Speaker 2: I don't think that many people find it acceptable that

843
00:39:14,440 --> 00:39:18,040
Speaker 2: someone whose only crime was which is not even you know,

844
00:39:18,080 --> 00:39:20,759
Speaker 2: a felony, but whatever, it's a civil infraction, but whose

845
00:39:20,760 --> 00:39:23,600
Speaker 2: only crime is crossing the border illegally and who has

846
00:39:23,640 --> 00:39:27,160
Speaker 2: been living, working, doing the right thing, et cetera, that

847
00:39:27,280 --> 00:39:30,600
Speaker 2: a punishment commeserate with that is being like put into

848
00:39:30,880 --> 00:39:34,640
Speaker 2: these horrific conditions in whether it's alligator alcatraze with other

849
00:39:34,680 --> 00:39:36,960
Speaker 2: detention facilities also have you know, quite.

850
00:39:36,800 --> 00:39:39,200
Speaker 1: Important, Wow, how do you deport somebody?

851
00:39:39,920 --> 00:39:41,600
Speaker 4: I think, Okay, but that's a reasonable question.

852
00:39:42,440 --> 00:39:43,839
Speaker 1: They're not going to leave, they don't leave.

853
00:39:43,920 --> 00:39:47,680
Speaker 2: But actually, in reality, the number of people who do

854
00:39:47,719 --> 00:39:49,520
Speaker 2: show up for their court hearings is quite high.

855
00:39:49,920 --> 00:39:52,000
Speaker 1: Number one numbers already here.

856
00:39:51,920 --> 00:39:52,600
Speaker 4: But number two.

857
00:39:53,080 --> 00:39:55,480
Speaker 2: You know, another option is we have these things called

858
00:39:55,480 --> 00:39:59,040
Speaker 2: ankle bracelets where you are monitored and tracked and so

859
00:39:59,360 --> 00:40:05,120
Speaker 2: you doesn't require like insane cruelty. So you know, your

860
00:40:05,600 --> 00:40:08,759
Speaker 2: working assumption here is that they're trying to, like, in

861
00:40:08,800 --> 00:40:10,359
Speaker 2: a good faith way, and I don't even know if

862
00:40:10,360 --> 00:40:12,439
Speaker 2: you really believe this, but in a good faith way

863
00:40:12,880 --> 00:40:15,200
Speaker 2: deal with this logistical challenge. I'm not talking, and I

864
00:40:15,200 --> 00:40:17,000
Speaker 2: don't think that they are dealing in a good faith

865
00:40:17,040 --> 00:40:19,200
Speaker 2: way with this logistical challenge. I think there are many

866
00:40:19,280 --> 00:40:21,520
Speaker 2: other routes. Even if you wanted to accomplish the goal,

867
00:40:21,520 --> 00:40:23,320
Speaker 2: which is not a goal I agree with, that would

868
00:40:23,320 --> 00:40:29,000
Speaker 2: not entail mass institutionalized cruelty. But they intentionally choose the

869
00:40:29,080 --> 00:40:33,719
Speaker 2: mass institutionalized cruelty and don't look for any solution that

870
00:40:33,800 --> 00:40:37,839
Speaker 2: would you know, probably create an even more like even

871
00:40:37,880 --> 00:40:39,000
Speaker 2: more rapid outcome.

872
00:40:39,320 --> 00:40:41,200
Speaker 4: But that does not include.

873
00:40:40,920 --> 00:40:43,800
Speaker 2: That sort of horror, because the horror and the terror

874
00:40:43,880 --> 00:40:45,200
Speaker 2: like that is a core part of that.

875
00:40:45,280 --> 00:40:47,240
Speaker 1: I don't just agree that it's part of a strategy

876
00:40:47,280 --> 00:40:48,920
Speaker 1: to get them to go. But it's also like, you know,

877
00:40:48,960 --> 00:40:50,200
Speaker 1: we do this for criminals too.

878
00:40:50,280 --> 00:40:52,520
Speaker 3: You know, if you, for example, drunk driving is not

879
00:40:53,200 --> 00:40:55,160
Speaker 3: I believe so right, it's not a felony. Am I

880
00:40:55,160 --> 00:40:57,680
Speaker 3: think what am I getting wrong here? There's something about

881
00:40:57,680 --> 00:41:00,080
Speaker 3: I think it's there's some type of whatever.

882
00:41:00,120 --> 00:41:01,839
Speaker 1: Demeanor, like you'll lose your license, you.

883
00:41:01,800 --> 00:41:03,480
Speaker 3: Get thrown in the drunk tank. Now, like you get

884
00:41:03,480 --> 00:41:04,840
Speaker 3: to go to prison, do you know why you do?

885
00:41:04,960 --> 00:41:05,479
Speaker 1: Or not prison?

886
00:41:05,520 --> 00:41:07,080
Speaker 3: You get to go to jail for a couple of

887
00:41:07,160 --> 00:41:09,040
Speaker 3: days and you have, Yes, you eat a sandwich and

888
00:41:09,040 --> 00:41:11,439
Speaker 3: a bag of chips. That's like standard prison for food.

889
00:41:11,719 --> 00:41:13,920
Speaker 3: Why because drunk driving is bad you broke the law.

890
00:41:13,960 --> 00:41:16,440
Speaker 3: It's also I think it's not a class a felonyre

891
00:41:16,520 --> 00:41:18,440
Speaker 3: or whatever. There are all kinds of things for which

892
00:41:18,480 --> 00:41:21,359
Speaker 3: we have preemptive or we have punishment in which yes,

893
00:41:21,520 --> 00:41:23,480
Speaker 3: some of the treatment is part of the of the

894
00:41:23,560 --> 00:41:26,560
Speaker 3: course to trying to discourage to make sure that you

895
00:41:26,600 --> 00:41:28,000
Speaker 3: don't participate.

896
00:41:27,440 --> 00:41:28,480
Speaker 1: In this illegal activity.

897
00:41:28,680 --> 00:41:31,400
Speaker 3: And like that's what I'm saying is you come here illegally,

898
00:41:31,600 --> 00:41:33,560
Speaker 3: you take advantage of the United States, the openness of

899
00:41:33,560 --> 00:41:35,960
Speaker 3: the United States of America. You know, there's also this

900
00:41:36,040 --> 00:41:41,680
Speaker 3: talk about paying taxes total bullshit. No, it's like yes, absolutely, oh, yes, Oh,

901
00:41:42,120 --> 00:41:45,240
Speaker 3: vast numbers of thirty million illegals are filing their income taxes.

902
00:41:45,320 --> 00:41:47,439
Speaker 1: Yeah, exactly, No, No, no, there's a number.

903
00:41:48,239 --> 00:41:50,759
Speaker 2: There is a significant tax contribution.

904
00:41:50,280 --> 00:41:52,840
Speaker 3: From undogmated once again, like if you look at that

905
00:41:52,840 --> 00:41:55,719
Speaker 3: statistically compared to gen pop. And then also, even if

906
00:41:55,760 --> 00:41:57,960
Speaker 3: that is the case, you're not supposed to be here

907
00:41:58,040 --> 00:42:00,680
Speaker 3: at a principal level. And if we up all the

908
00:42:00,760 --> 00:42:03,720
Speaker 3: welfare and medicaid and hospital bills of all these people

909
00:42:03,920 --> 00:42:05,960
Speaker 3: in our society, I'd be willing to bet it still

910
00:42:06,000 --> 00:42:08,560
Speaker 3: in that negative on a social basis, just purely net in,

911
00:42:08,640 --> 00:42:09,040
Speaker 3: net out.

912
00:42:09,080 --> 00:42:11,680
Speaker 1: You can make GDP arguments in other cases.

913
00:42:11,400 --> 00:42:13,759
Speaker 3: But it just comes back to like, yes, there are

914
00:42:13,840 --> 00:42:16,680
Speaker 3: consequences for breaking the law. If you want to change

915
00:42:16,719 --> 00:42:20,280
Speaker 3: that law, be my guest, Biden Obama. All these people

916
00:42:20,320 --> 00:42:22,880
Speaker 3: had multiple Houses of Congress and they never did so

917
00:42:23,200 --> 00:42:27,600
Speaker 3: as long as the system is currently constituted, you're here illegally.

918
00:42:27,760 --> 00:42:29,239
Speaker 1: There are consequences for doing that.

919
00:42:29,480 --> 00:42:31,640
Speaker 3: Yes, I think the government in many cases has both

920
00:42:31,680 --> 00:42:34,480
Speaker 3: lied and gone too far under the Trump administration, But

921
00:42:34,560 --> 00:42:37,479
Speaker 3: the core goal is still one that I think most

922
00:42:37,480 --> 00:42:40,120
Speaker 3: people would want of some sort of order and the

923
00:42:40,160 --> 00:42:42,040
Speaker 3: fact that we have to know who you are here,

924
00:42:42,280 --> 00:42:44,799
Speaker 3: and yes that that if you came here illegally under

925
00:42:44,840 --> 00:42:48,280
Speaker 3: false pretenses, at the very least, the government needs to

926
00:42:48,360 --> 00:42:49,000
Speaker 3: check you out.

927
00:42:49,120 --> 00:42:50,480
Speaker 1: We need to figure out what's going on.

928
00:42:50,719 --> 00:42:52,719
Speaker 3: And my belief is you should be sent back to

929
00:42:52,760 --> 00:42:55,040
Speaker 3: where you came from and perhaps in the future we

930
00:42:55,120 --> 00:42:57,680
Speaker 3: can have some sort of reapply. Now many people will

931
00:42:57,680 --> 00:43:01,120
Speaker 3: disagree with me on that subject, but I just I

932
00:43:01,200 --> 00:43:02,680
Speaker 3: really don't know how you could have lived through the

933
00:43:02,719 --> 00:43:05,759
Speaker 3: Biden administration and the way that the permission structure came

934
00:43:05,800 --> 00:43:08,279
Speaker 3: for what eight to ten million people flow legally into

935
00:43:08,320 --> 00:43:12,000
Speaker 3: our country and not believe in a like a serious

936
00:43:12,040 --> 00:43:14,520
Speaker 3: effort to deal with this at a law and order level.

937
00:43:14,760 --> 00:43:16,839
Speaker 3: I really just don't know how we can still come

938
00:43:16,880 --> 00:43:19,880
Speaker 3: down to compassion and aside. It's like these people are

939
00:43:19,920 --> 00:43:23,600
Speaker 3: the biggest abusers of US asylum law in all of history.

940
00:43:23,760 --> 00:43:25,400
Speaker 1: They're all economic migrants.

941
00:43:25,400 --> 00:43:28,040
Speaker 3: They'll admit it if you ask them, and it's like

942
00:43:28,360 --> 00:43:30,799
Speaker 3: we're just supposed to let them in and give them

943
00:43:30,800 --> 00:43:34,080
Speaker 3: citizenship apparently because they quote want a better life.

944
00:43:34,200 --> 00:43:35,360
Speaker 1: You can want a better life.

945
00:43:35,360 --> 00:43:37,200
Speaker 3: Wherever you are, there are people all over the world

946
00:43:37,200 --> 00:43:38,880
Speaker 3: who want a better life. Just because you have the

947
00:43:38,880 --> 00:43:41,160
Speaker 3: proximity to walk into the United States of America, you're

948
00:43:41,200 --> 00:43:41,720
Speaker 3: not special.

949
00:43:41,840 --> 00:43:44,160
Speaker 2: I mean, Sager, obviously I disagree with you on the policy,

950
00:43:44,200 --> 00:43:47,640
Speaker 2: but I think what the punishment throughout history for that

951
00:43:47,719 --> 00:43:51,880
Speaker 2: has been has been getting deported back to your own country,

952
00:43:52,120 --> 00:43:54,759
Speaker 2: not to some random third country where you may be

953
00:43:54,840 --> 00:43:56,719
Speaker 2: in danger and don't speak the language and don't know

954
00:43:56,760 --> 00:43:59,480
Speaker 2: anyone and have never been. Not being disappeared, which is

955
00:43:59,480 --> 00:44:02,840
Speaker 2: what's happening without even any record into you know, someplace

956
00:44:02,880 --> 00:44:06,000
Speaker 2: that has been set up to intentionally like be cruel

957
00:44:06,040 --> 00:44:08,759
Speaker 2: and horrific and deny you basic human rights, not to

958
00:44:08,800 --> 00:44:13,360
Speaker 2: be disappeared into a foreign google slave labor gulug like Seacott,

959
00:44:13,760 --> 00:44:15,279
Speaker 2: the idea, Okay.

960
00:44:15,000 --> 00:44:16,680
Speaker 4: You're here illegally, you're going to go.

961
00:44:16,840 --> 00:44:19,160
Speaker 2: You know, the country is voted and they've decided, like

962
00:44:19,200 --> 00:44:21,759
Speaker 2: we only want a certain level of undocumented population. You're

963
00:44:21,800 --> 00:44:24,840
Speaker 2: going back to your home country. That's been the idea.

964
00:44:24,719 --> 00:44:27,120
Speaker 1: The country won't take. Ultimately, yes, why do you think

965
00:44:27,120 --> 00:44:29,120
Speaker 1: they're going to be with because they don't want them back.

966
00:44:29,160 --> 00:44:31,000
Speaker 2: But that's not even true thing to do. But that's

967
00:44:31,040 --> 00:44:34,480
Speaker 2: not even true in many instances. So for example, Venezuela,

968
00:44:34,960 --> 00:44:38,680
Speaker 2: there were ongoing to go shoot. Venezuela was accepting immigration

969
00:44:39,040 --> 00:44:43,759
Speaker 2: return like deportation returns flights into that country. So you know,

970
00:44:43,840 --> 00:44:46,400
Speaker 2: you cannot You also can't act like the Trump administration

971
00:44:46,480 --> 00:44:49,080
Speaker 2: has no power here to like make a deal and

972
00:44:49,160 --> 00:44:52,920
Speaker 2: do some diplomacy to be able to effectuate those returns.

973
00:44:52,920 --> 00:44:55,319
Speaker 2: But you know, just on the on the numbers of

974
00:44:55,360 --> 00:44:58,239
Speaker 2: how people feel about this now, and it's actually not

975
00:44:58,440 --> 00:45:01,320
Speaker 2: that different from how they felt about it when Trump

976
00:45:01,360 --> 00:45:04,920
Speaker 2: was running on mass deportation, seventy eight percent say that

977
00:45:05,040 --> 00:45:07,960
Speaker 2: they would like to see a pathway to citizenship for

978
00:45:08,160 --> 00:45:10,799
Speaker 2: immigrants who were living in the US illegally if they

979
00:45:10,840 --> 00:45:12,040
Speaker 2: meet certain requirements.

980
00:45:12,239 --> 00:45:16,920
Speaker 4: So there is a there is a sort of very.

981
00:45:16,640 --> 00:45:22,160
Speaker 2: Widespread acceptance of immigration, of the being an important part

982
00:45:22,200 --> 00:45:24,080
Speaker 2: of the fabric and character of this nation, of the

983
00:45:24,120 --> 00:45:25,920
Speaker 2: sense of like, hey, if you're here and you did

984
00:45:25,960 --> 00:45:27,640
Speaker 2: the right thing, and you were working and you didn't

985
00:45:27,640 --> 00:45:30,040
Speaker 2: do anything wrong, like we should give you a chance

986
00:45:30,080 --> 00:45:33,480
Speaker 2: to become a citizen. That is a very popular and

987
00:45:33,520 --> 00:45:35,920
Speaker 2: widespread view. And like I was saying, that number has

988
00:45:35,960 --> 00:45:38,160
Speaker 2: gone up, but actually in twenty twenty four it was

989
00:45:38,160 --> 00:45:39,320
Speaker 2: still seventy percent.

990
00:45:39,040 --> 00:45:39,919
Speaker 4: Who felt that way.

991
00:45:40,160 --> 00:45:42,479
Speaker 2: So I think people are very on board with like, Okay,

992
00:45:42,520 --> 00:45:44,680
Speaker 2: you're a criminal, you're in a gang, whatever, Yes, let's

993
00:45:44,680 --> 00:45:47,399
Speaker 2: get you out of here. But the reason that there's

994
00:45:47,440 --> 00:45:49,799
Speaker 2: been such a backlash is when you go much beyond that,

995
00:45:49,920 --> 00:45:51,920
Speaker 2: it does start to rub up against people's sense of

996
00:45:51,960 --> 00:45:54,360
Speaker 2: actually what America is and certainly the way that they

997
00:45:54,440 --> 00:45:57,200
Speaker 2: want to see people treated by their government, whether their

998
00:45:57,239 --> 00:45:57,880
Speaker 2: citizen or not.

999
00:45:58,120 --> 00:45:59,719
Speaker 3: I look, that's just going to be a disagreement. You

1000
00:45:59,760 --> 00:46:02,080
Speaker 3: broke the law, you came here legally, just because you

1001
00:46:02,160 --> 00:46:04,720
Speaker 3: happen to be here, and you know, allegedly didn't commit

1002
00:46:04,719 --> 00:46:06,359
Speaker 3: a crime except for the first crime that you did

1003
00:46:06,400 --> 00:46:08,560
Speaker 3: by entering our country, you get a free pass. It's

1004
00:46:08,560 --> 00:46:10,239
Speaker 3: crazy to me, all right, It's an insult to the

1005
00:46:10,280 --> 00:46:12,080
Speaker 3: millions of people who spent you know, people like my

1006
00:46:12,120 --> 00:46:14,600
Speaker 3: parents and others who came here legally, spent thousands of

1007
00:46:14,600 --> 00:46:16,759
Speaker 3: dollars of their own money, going through the process of

1008
00:46:16,760 --> 00:46:17,399
Speaker 3: pain in the ass.

1009
00:46:17,480 --> 00:46:19,080
Speaker 1: Ask anybody who's ever done it.

1010
00:46:19,120 --> 00:46:21,040
Speaker 3: And oh, because somebody gets to walk here and then

1011
00:46:21,120 --> 00:46:24,239
Speaker 3: be basically low wage labor, they're allowed, you know, a

1012
00:46:24,239 --> 00:46:27,719
Speaker 3: special process just by being here long enough it's preposterous.

1013
00:46:28,000 --> 00:46:29,879
Speaker 3: I mean, and that's one of those Look, I'll keep

1014
00:46:29,880 --> 00:46:31,680
Speaker 3: making that case forever up until the day they do

1015
00:46:31,760 --> 00:46:35,719
Speaker 3: eventually pass amnesty. I don't think there's any basic fairness.

1016
00:46:35,880 --> 00:46:39,719
Speaker 3: It is completely preferential treatment. It is just like I

1017
00:46:39,760 --> 00:46:42,000
Speaker 3: don't know, we've debated this, you know, forever.

1018
00:46:42,120 --> 00:46:44,080
Speaker 2: Yeah, to continue, Well, one last news item I do

1019
00:46:44,160 --> 00:46:45,920
Speaker 2: want to slip in here. On immigration. Let's put D

1020
00:46:46,080 --> 00:46:49,000
Speaker 2: five up on the screen. There was a significant court

1021
00:46:49,040 --> 00:46:53,800
Speaker 2: decision in California halting what they're describing as indiscriminate immigration

1022
00:46:53,920 --> 00:46:56,640
Speaker 2: stops in LA and beyond. And basically what a judge

1023
00:46:56,680 --> 00:46:59,560
Speaker 2: found here is that, you know a lot of credible

1024
00:46:59,560 --> 00:47:02,400
Speaker 2: evidence that they are just basically racially profiling, you know,

1025
00:47:02,719 --> 00:47:05,719
Speaker 2: roll up on the home depot, see some Latino like

1026
00:47:05,760 --> 00:47:08,319
Speaker 2: Spanish speakers, and just arrest them. And we've got a

1027
00:47:08,400 --> 00:47:11,319
Speaker 2: number of instances. One that was a part of this

1028
00:47:11,400 --> 00:47:13,880
Speaker 2: case in particular, is actually a car wash and the

1029
00:47:13,880 --> 00:47:18,640
Speaker 2: guy was like, I'm an American citizen. Here is my identification,

1030
00:47:18,920 --> 00:47:20,799
Speaker 2: and they were like, you don't have your passport, so

1031
00:47:20,840 --> 00:47:23,799
Speaker 2: that's not good enough, so we're arresting you. And they

1032
00:47:23,800 --> 00:47:25,880
Speaker 2: had other instances too, where you know, I mean, this

1033
00:47:25,960 --> 00:47:28,239
Speaker 2: seems to be the sort of approach of just like

1034
00:47:28,440 --> 00:47:30,200
Speaker 2: we're going to go into places where we think that

1035
00:47:30,320 --> 00:47:33,799
Speaker 2: undocumented immigrants congregate. We're going to check out whether you're

1036
00:47:33,800 --> 00:47:36,200
Speaker 2: speaking Spanish and what your skin tone is, et cetera,

1037
00:47:36,480 --> 00:47:38,319
Speaker 2: and we're going to arrest you if we have any

1038
00:47:38,320 --> 00:47:42,239
Speaker 2: suspicion whatsoever, not based on anything other than basically like

1039
00:47:42,320 --> 00:47:44,319
Speaker 2: ethnicity and the location that you are. And you have

1040
00:47:44,360 --> 00:47:47,160
Speaker 2: a judge who says, yes, it's racial profile. You can't

1041
00:47:47,200 --> 00:47:53,400
Speaker 2: do that. That's against the Fourth Amendment. Okay, So we're still,

1042
00:47:53,920 --> 00:47:56,080
Speaker 2: you know, focused on the aftermath of those horrific floods

1043
00:47:56,120 --> 00:47:57,759
Speaker 2: in Texas, which I actually don't think we've gotten to

1044
00:47:57,800 --> 00:47:59,840
Speaker 2: hear anything from you on.

1045
00:48:00,040 --> 00:48:01,680
Speaker 4: I'm interested to get your take care as well.

1046
00:48:01,719 --> 00:48:05,919
Speaker 2: But we have a lot of questions about DOGE cuts

1047
00:48:06,000 --> 00:48:10,200
Speaker 2: to National Weather Service and Noah, the sort of pushing

1048
00:48:10,239 --> 00:48:12,880
Speaker 2: out of some key individuals who should have been involved

1049
00:48:12,880 --> 00:48:16,319
Speaker 2: in warning community members. So you have those you know,

1050
00:48:16,520 --> 00:48:18,440
Speaker 2: was the forecast, Could the forecast have been better if

1051
00:48:18,440 --> 00:48:20,160
Speaker 2: you didn't have the DOGE cuts? Could the warnings have

1052
00:48:20,200 --> 00:48:21,960
Speaker 2: been better if you didn't have the DOGE cuts? Those

1053
00:48:22,000 --> 00:48:24,520
Speaker 2: questions on the front end. Now you have a question

1054
00:48:24,560 --> 00:48:27,719
Speaker 2: now that you're into the recovery phase about FEMA's performance,

1055
00:48:28,040 --> 00:48:30,000
Speaker 2: and let me go ahead and put Guys E two

1056
00:48:30,560 --> 00:48:31,320
Speaker 2: up on the screen.

1057
00:48:31,360 --> 00:48:31,640
Speaker 9: Here.

1058
00:48:31,760 --> 00:48:35,319
Speaker 2: There's some significant reporting from the New York Times that

1059
00:48:35,440 --> 00:48:40,279
Speaker 2: FEMA failed to answer thousands of calls from flood survivors.

1060
00:48:40,520 --> 00:48:43,920
Speaker 2: And this is directly attributable to the fact that Christy

1061
00:48:44,000 --> 00:48:48,279
Speaker 2: Noam at DHS, which runs FEMA, they allowed these call

1062
00:48:48,320 --> 00:48:52,080
Speaker 2: center contracts to lapse. They were not extended, and so

1063
00:48:52,200 --> 00:48:54,959
Speaker 2: you had a loss of personnel. It's personnel who would

1064
00:48:55,000 --> 00:48:59,000
Speaker 2: ordinarily be the ones fielding these calls at this critical moment.

1065
00:48:59,320 --> 00:49:01,640
Speaker 2: And so you've just been hit with a flood, You've

1066
00:49:01,680 --> 00:49:03,520
Speaker 2: lost everything that you owned.

1067
00:49:03,680 --> 00:49:04,359
Speaker 4: You're trying to.

1068
00:49:04,280 --> 00:49:06,640
Speaker 2: Figure out, Okay, how do I interface with the federal government,

1069
00:49:06,640 --> 00:49:10,040
Speaker 2: et cetera. Most people, the way they go about trying

1070
00:49:10,080 --> 00:49:14,640
Speaker 2: to navigate that bureaucracy in that paperwork is through this hotline,

1071
00:49:14,680 --> 00:49:17,480
Speaker 2: these call centers, and they did not have nearly the

1072
00:49:17,520 --> 00:49:21,000
Speaker 2: personnel in place to handle this flood of calls. In addition,

1073
00:49:21,440 --> 00:49:25,919
Speaker 2: there was another program previously in place where FEMA would

1074
00:49:25,920 --> 00:49:28,440
Speaker 2: actually go door to door to people who had been

1075
00:49:28,440 --> 00:49:30,920
Speaker 2: impacted by any sort of natural disaster. Or flood in

1076
00:49:30,960 --> 00:49:34,719
Speaker 2: this instance, and help them be able to organize their

1077
00:49:34,760 --> 00:49:37,000
Speaker 2: paperwork and figure out what they could apply for, etc.

1078
00:49:37,560 --> 00:49:40,560
Speaker 2: That program has also been cut. Christine home under fire

1079
00:49:40,719 --> 00:49:42,759
Speaker 2: and trying to answer for this on the Sunday Shows.

1080
00:49:42,840 --> 00:49:44,239
Speaker 2: Let's go ahead and take a listen to what she

1081
00:49:44,280 --> 00:49:44,759
Speaker 2: had to say.

1082
00:49:45,160 --> 00:49:49,160
Speaker 10: A rule that you recently implemented. It reportedly requires that

1083
00:49:49,280 --> 00:49:53,200
Speaker 10: every FEMA contract, every grant over one hundred thousand dollars

1084
00:49:53,520 --> 00:49:55,760
Speaker 10: be personally approved by you.

1085
00:49:55,840 --> 00:49:56,000
Speaker 1: Now.

1086
00:49:56,000 --> 00:49:59,360
Speaker 10: Officials within the agency have told multiple news outlets that

1087
00:49:59,440 --> 00:50:04,160
Speaker 10: the policy led to a slower deployment of some FEMA resources,

1088
00:50:04,280 --> 00:50:07,279
Speaker 10: including urban search and rescue crews. So let me just

1089
00:50:07,400 --> 00:50:11,320
Speaker 10: ask you, did your policy delay some of the critical

1090
00:50:11,480 --> 00:50:13,680
Speaker 10: response resources on the ground.

1091
00:50:13,920 --> 00:50:16,280
Speaker 4: You know those claims have are absolutely false.

1092
00:50:16,600 --> 00:50:19,319
Speaker 11: Within just an hour or two after the flooding, we

1093
00:50:19,360 --> 00:50:22,600
Speaker 11: had resources from the Department of Homeland Security there helping

1094
00:50:22,640 --> 00:50:24,040
Speaker 11: those individuals in Texas.

1095
00:50:24,160 --> 00:50:27,000
Speaker 10: There were resources that were deployed, But I think the

1096
00:50:27,080 --> 00:50:31,120
Speaker 10: question revolves around were all of the necessary resources deployed?

1097
00:50:31,160 --> 00:50:34,920
Speaker 10: According to reports, multiple FEMA officials said, you didn't approve

1098
00:50:35,000 --> 00:50:39,040
Speaker 10: the deployment of these FEMA search and rescue teams until Monday,

1099
00:50:39,080 --> 00:50:42,320
Speaker 10: which was seventy two hours after the flood started.

1100
00:50:42,640 --> 00:50:45,320
Speaker 11: They were deployed immediately as soon as they were requested.

1101
00:50:45,320 --> 00:50:48,399
Speaker 10: And when was the request put in and when did

1102
00:50:48,440 --> 00:50:51,640
Speaker 10: you approve it? And is this accurate that there's this

1103
00:50:51,880 --> 00:50:55,200
Speaker 10: one hundred thousand dollars sign off, the one.

1104
00:50:55,200 --> 00:50:57,759
Speaker 11: Hundred thousand dollars sign office for every contract that goes

1105
00:50:57,760 --> 00:51:00,600
Speaker 11: through the Department of Homeland Security, and that that's an

1106
00:51:00,640 --> 00:51:03,800
Speaker 11: accountabilit it's an accountability on contracts that go forward.

1107
00:51:03,960 --> 00:51:06,920
Speaker 10: When did you get the request for these search and

1108
00:51:06,960 --> 00:51:08,920
Speaker 10: rescue tees and other resources immediately?

1109
00:51:09,120 --> 00:51:09,680
Speaker 9: So immediate?

1110
00:51:09,760 --> 00:51:12,600
Speaker 4: What does everyone will tell you They didn't.

1111
00:51:13,160 --> 00:51:14,799
Speaker 11: Hill will say, well, this is what I think is

1112
00:51:14,840 --> 00:51:15,759
Speaker 11: really unfortunate.

1113
00:51:16,120 --> 00:51:16,520
Speaker 4: And zager.

1114
00:51:16,600 --> 00:51:20,160
Speaker 2: Trump of course had originally been really sort of ideologically

1115
00:51:20,200 --> 00:51:22,720
Speaker 2: opposed to FEMA at all, wanted to send all disaster

1116
00:51:22,800 --> 00:51:24,440
Speaker 2: relief to the States. In the wake of this, he

1117
00:51:24,560 --> 00:51:26,440
Speaker 2: seems to be backing off of some of those more

1118
00:51:26,440 --> 00:51:31,080
Speaker 2: maximust demands. But there's no question that FEMA and w

1119
00:51:31,400 --> 00:51:35,480
Speaker 2: National Weather Service, they have been impacted by the Dotge cuts.

1120
00:51:35,520 --> 00:51:38,160
Speaker 2: And you know, some very serious questions being raised here

1121
00:51:38,280 --> 00:51:41,520
Speaker 2: about the impact that that had, specifically in the hourrificance.

1122
00:51:41,239 --> 00:51:41,840
Speaker 1: Roll, the tape.

1123
00:51:41,960 --> 00:51:44,400
Speaker 3: What did I say after the airplane disaster. I was like,

1124
00:51:44,440 --> 00:51:46,160
Speaker 3: it's coming. I was like, you don't want to do it.

1125
00:51:46,160 --> 00:51:48,120
Speaker 3: It's the last part of the government that you actually

1126
00:51:48,120 --> 00:51:50,560
Speaker 3: want to cut Noah and the National Weather Service and

1127
00:51:50,600 --> 00:51:53,239
Speaker 3: all these other places. But you know, eventually they just

1128
00:51:53,280 --> 00:51:55,200
Speaker 3: forget their And you know, this also gets to a

1129
00:51:55,360 --> 00:51:57,440
Speaker 3: basic issue of competence. And I've also been thinking about

1130
00:51:57,440 --> 00:52:01,040
Speaker 3: this with regard to the Trump administration. Actually can't underestimate

1131
00:52:01,280 --> 00:52:03,319
Speaker 3: how incompetent.

1132
00:52:02,640 --> 00:52:05,200
Speaker 1: They have acted. Just look at the last six months.

1133
00:52:05,239 --> 00:52:06,160
Speaker 1: Elon's in charge.

1134
00:52:06,200 --> 00:52:08,799
Speaker 3: Now he's not in charge with the tariffs on, wear

1135
00:52:08,880 --> 00:52:11,720
Speaker 3: the tariffs off. You can't look at the current cabinet

1136
00:52:12,040 --> 00:52:14,439
Speaker 3: and accept in some very few cases and be like, yeah,

1137
00:52:14,480 --> 00:52:16,400
Speaker 3: you know they've got it, Like these are your guys

1138
00:52:16,400 --> 00:52:17,800
Speaker 3: who are really up.

1139
00:52:17,640 --> 00:52:18,160
Speaker 1: To the job.

1140
00:52:18,280 --> 00:52:20,440
Speaker 3: I said that about Chrissy nome I remember, I was like,

1141
00:52:20,480 --> 00:52:22,880
Speaker 3: this lady was a governor of South Dakota, which no

1142
00:52:22,920 --> 00:52:24,839
Speaker 3: offense South Dkota, nobody even lives there.

1143
00:52:25,000 --> 00:52:25,719
Speaker 1: And now you're in.

1144
00:52:25,680 --> 00:52:29,040
Speaker 3: Charge of the last largest law enforcement agency in the world.

1145
00:52:29,440 --> 00:52:32,160
Speaker 3: What like, in what possible way are you qualified? I

1146
00:52:32,160 --> 00:52:34,200
Speaker 3: don't think that she's handled herself good at all.

1147
00:52:34,200 --> 00:52:34,600
Speaker 1: That way.

1148
00:52:34,960 --> 00:52:36,880
Speaker 3: But that's my point, right, I think you know that

1149
00:52:36,960 --> 00:52:40,120
Speaker 3: shit matters whenever you have a full blown flood by

1150
00:52:40,120 --> 00:52:41,160
Speaker 3: the way, you know, I've been to a lot of

1151
00:52:41,160 --> 00:52:43,440
Speaker 3: those areas. It's horrible. I mean, it's devastating. You know

1152
00:52:43,680 --> 00:52:45,880
Speaker 3: what happened there, it's still like an open question. It's

1153
00:52:45,960 --> 00:52:49,160
Speaker 3: the whole National Weather Service, you know, I've been reading

1154
00:52:49,200 --> 00:52:50,920
Speaker 3: the TikTok about the alert went out, but it was

1155
00:52:50,920 --> 00:52:54,440
Speaker 3: at four am, and there's open questions about the state agency.

1156
00:52:54,480 --> 00:52:57,040
Speaker 3: And you know, there's some stuff here about the camp

1157
00:52:57,120 --> 00:52:59,719
Speaker 3: what is it camp Mystic and how they're actually there.

1158
00:53:00,080 --> 00:53:03,320
Speaker 3: Their permits kept getting delayed. It's a slow rolling disaster

1159
00:53:03,440 --> 00:53:05,480
Speaker 3: actually if you kind of look at the background of

1160
00:53:05,560 --> 00:53:09,120
Speaker 3: the way this all happens. So nobody's like directly attributed.

1161
00:53:09,239 --> 00:53:11,799
Speaker 3: But let's not forget. I mean, it's July fourteenth, you

1162
00:53:11,840 --> 00:53:14,360
Speaker 3: and I are talking right now, when's hurricane season.

1163
00:53:14,400 --> 00:53:15,799
Speaker 1: People, you know, do the math.

1164
00:53:16,200 --> 00:53:21,799
Speaker 3: You are only one disaster away from a catastrophic news cycle.

1165
00:53:21,719 --> 00:53:22,680
Speaker 1: For the administration.

1166
00:53:22,800 --> 00:53:25,400
Speaker 3: If there's even one way that the Weather Service and

1167
00:53:25,440 --> 00:53:27,640
Speaker 3: all those people didn't do something, and there's an I mean,

1168
00:53:27,640 --> 00:53:28,720
Speaker 3: remember Hurricane Sandy.

1169
00:53:28,960 --> 00:53:29,720
Speaker 1: That was a disaster.

1170
00:53:29,760 --> 00:53:31,759
Speaker 3: I mean it came out of nowhere, billions of dollars

1171
00:53:31,800 --> 00:53:34,200
Speaker 3: in damage. FEMA shit the bet on that one too.

1172
00:53:34,960 --> 00:53:36,440
Speaker 3: I can't even really think of the last time they

1173
00:53:36,480 --> 00:53:39,319
Speaker 3: did a great job in response to a hurricane thing,

1174
00:53:39,360 --> 00:53:43,120
Speaker 3: and that becomes like serious political issue which they can

1175
00:53:43,200 --> 00:53:46,240
Speaker 3: directly trace back to DOGE. They have them literally bragging

1176
00:53:46,280 --> 00:53:48,680
Speaker 3: about it on camera, and especially now with you know

1177
00:53:48,760 --> 00:53:51,040
Speaker 3: now that the fact that the Doge project has basically

1178
00:53:51,080 --> 00:53:54,360
Speaker 3: been a complete failure. They are they just opened themselves

1179
00:53:54,440 --> 00:53:57,959
Speaker 3: up for any future airline disaster, any future storm, any

1180
00:53:57,960 --> 00:54:00,319
Speaker 3: future hurricane, and then they don't have the best and

1181
00:54:00,360 --> 00:54:01,120
Speaker 3: the brightest.

1182
00:54:00,760 --> 00:54:01,919
Speaker 1: Who are in charging well.

1183
00:54:02,120 --> 00:54:05,799
Speaker 2: And to that point, they had someone who had emergency

1184
00:54:05,840 --> 00:54:10,799
Speaker 2: management experience in place at FEMA. Originally they had a

1185
00:54:10,840 --> 00:54:13,879
Speaker 2: guy named Cameron Hamilton. He was a Navy seal, former

1186
00:54:13,920 --> 00:54:17,640
Speaker 2: combat medic, former director of the Emergency Medical Services Division

1187
00:54:17,680 --> 00:54:20,840
Speaker 2: at the Department of Homeland Security. He got fired a

1188
00:54:20,880 --> 00:54:23,959
Speaker 2: month ago because he dared to testify to Congress that.

1189
00:54:23,920 --> 00:54:25,920
Speaker 4: He thought FEMA should continue to exist.

1190
00:54:26,360 --> 00:54:29,080
Speaker 2: So he got fired and they put in his place

1191
00:54:29,239 --> 00:54:31,759
Speaker 2: this guy named David Richardson, who there was all kinds

1192
00:54:31,760 --> 00:54:34,160
Speaker 2: of reporting, so he has no background in this whatsoever.

1193
00:54:34,360 --> 00:54:36,960
Speaker 2: There's all kinds of reporting about how he didn't know anything.

1194
00:54:37,040 --> 00:54:39,359
Speaker 2: He was like, oh, when's hurricane season or what even

1195
00:54:39,440 --> 00:54:41,600
Speaker 2: is hurricane season? I mean, just a complete matter of

1196
00:54:41,640 --> 00:54:43,840
Speaker 2: war on which is why you haven't seen.

1197
00:54:43,640 --> 00:54:44,319
Speaker 4: Him at all.

1198
00:54:44,800 --> 00:54:47,160
Speaker 2: I mean, think about the like, you know, good job

1199
00:54:47,200 --> 00:54:49,960
Speaker 2: Brownie situation. At least Brownie was out there trying to

1200
00:54:49,960 --> 00:54:52,440
Speaker 2: do something. This guy, we don't even see him. He

1201
00:54:52,480 --> 00:54:56,000
Speaker 2: doesn't even exist, because even this administration is smart enough

1202
00:54:56,080 --> 00:54:57,480
Speaker 2: to realize, like, oh, it's going to be a train

1203
00:54:57,520 --> 00:54:59,680
Speaker 2: wreck if we put this dude down there because he doesn't.

1204
00:54:59,480 --> 00:55:00,520
Speaker 4: Know shit about shit.

1205
00:55:01,000 --> 00:55:03,760
Speaker 2: So that's the guy who you have running FEMA. I mean, FEMA,

1206
00:55:03,800 --> 00:55:05,640
Speaker 2: I'm sure has his problems. I have no doubt about

1207
00:55:05,640 --> 00:55:08,040
Speaker 2: it that you could do a better job with disaster recovery,

1208
00:55:08,760 --> 00:55:12,399
Speaker 2: but like you are just making it so much worse

1209
00:55:12,440 --> 00:55:16,600
Speaker 2: and degrading its capabilities in ways that are blatantly obvious.

1210
00:55:16,640 --> 00:55:19,000
Speaker 2: Not only do you have this call center fiasco, but

1211
00:55:19,080 --> 00:55:22,600
Speaker 2: you also had some reporting, independent reporting as well about

1212
00:55:22,640 --> 00:55:24,640
Speaker 2: how the number of FEMA staffers that were on the

1213
00:55:24,680 --> 00:55:28,000
Speaker 2: ground were way next to nothing compared to what it

1214
00:55:28,040 --> 00:55:33,000
Speaker 2: would have been ordinarily in previous circumstances. So yeah, I mean,

1215
00:55:33,040 --> 00:55:37,000
Speaker 2: it's just this is an area where it felt like

1216
00:55:37,160 --> 00:55:40,239
Speaker 2: during all the Doge chainsaw madness, they just thought that

1217
00:55:40,280 --> 00:55:42,480
Speaker 2: nothing was ever going to matter. You know, it just

1218
00:55:42,600 --> 00:55:45,160
Speaker 2: was this sense of unreality, like we can just flash

1219
00:55:45,239 --> 00:55:48,360
Speaker 2: and burn wherever and whatever without any regard, like not

1220
00:55:48,400 --> 00:55:50,680
Speaker 2: even trying to do it in an intelligent way, and

1221
00:55:50,719 --> 00:55:52,840
Speaker 2: that there's never going to be any impact from that.

1222
00:55:53,080 --> 00:55:55,360
Speaker 2: And this is like in the most horrific way, possibly

1223
00:55:55,360 --> 00:55:56,840
Speaker 2: got one hundred and thirty plus dead now in one

1224
00:55:56,880 --> 00:56:00,840
Speaker 2: hundred and sixty still missing reality you in the face

1225
00:56:00,880 --> 00:56:03,959
Speaker 2: of like no, Actually, sometimes government functions are literally life

1226
00:56:03,960 --> 00:56:04,480
Speaker 2: and death.

1227
00:56:04,440 --> 00:56:06,400
Speaker 3: Absolutely, I mean, I you know, it would didn't take

1228
00:56:06,400 --> 00:56:10,440
Speaker 3: a genius or anybody even remotely familiar with everything, And

1229
00:56:10,560 --> 00:56:12,759
Speaker 3: I think, yeah, I think those will continue to be

1230
00:56:13,120 --> 00:56:15,080
Speaker 3: a noose around the neck of the administration for the

1231
00:56:15,120 --> 00:56:17,560
Speaker 3: next four years. We're just you're just waiting one disaster.

1232
00:56:17,640 --> 00:56:19,600
Speaker 3: I mean, look at the Air India crash that I

1233
00:56:19,600 --> 00:56:20,960
Speaker 3: mean that came out of nowhere, you know, a Boeing

1234
00:56:21,000 --> 00:56:23,200
Speaker 3: seven eighty seven and crashed in the middle of a city,

1235
00:56:23,200 --> 00:56:26,080
Speaker 3: according to Pilot Air. I mean, imagine if something like

1236
00:56:26,120 --> 00:56:28,400
Speaker 3: that happened here today. I literally on my way here

1237
00:56:28,440 --> 00:56:30,680
Speaker 3: I saw a plane it was maybe like twenty thirty

1238
00:56:30,680 --> 00:56:33,120
Speaker 3: feet above me as it was landing over Ronald Reagan,

1239
00:56:33,120 --> 00:56:34,600
Speaker 3: and I was like, I don't know about this man.

1240
00:56:34,680 --> 00:56:37,360
Speaker 4: You know, no offense to Air India, but don't fly.

1241
00:56:37,280 --> 00:56:40,720
Speaker 3: Oh no, no offence to it's scary offence.

1242
00:56:41,440 --> 00:56:41,759
Speaker 9: Sue me.

1243
00:56:42,200 --> 00:56:45,000
Speaker 1: You're the worst airlines. Some of my nobody.

1244
00:56:44,600 --> 00:56:47,759
Speaker 4: Flying experiences are on Air wid Yeah.

1245
00:56:47,920 --> 00:56:50,120
Speaker 1: Sorry, Air India. You guys got off your game. It's terrible.

1246
00:56:50,239 --> 00:56:52,480
Speaker 1: Anybody flyers, I mean maybe if they have a deal.

1247
00:56:52,320 --> 00:56:54,840
Speaker 3: But honestly, at this point I'm not flying it anytime.

1248
00:56:54,880 --> 00:56:57,239
Speaker 3: So anyways, thank you guys so much for watching. We

1249
00:56:57,280 --> 00:56:57,759
Speaker 3: appreciate you.

1250
00:56:57,840 --> 00:56:58,600
Speaker 1: I'll see you tomorrow

1251
00:57:02,320 --> 00:57:02,680
Speaker 6: At