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

2
00:00:01,680 --> 00:00:05,200
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 --> 00:00:10,719
Speaker 1: This is the only place where you can find honest

6
00:00:10,760 --> 00:00:13,280
Speaker 1: perspectives from the left and the right that simply does

7
00:00:13,320 --> 00:00:14,640
Speaker 1: not exist anywhere else.

8
00:00:14,760 --> 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 1: We need your help to build the future of independent

13
00:00:27,560 --> 00:00:29,920
Speaker 1: news media, and we hope to see you at Breakingpoints

14
00:00:29,960 --> 00:00:30,720
Speaker 1: dot com.

15
00:00:30,800 --> 00:00:34,360
Speaker 2: Good morning, everybody, Happy Friday, Happy Friday Friday.

16
00:00:34,360 --> 00:00:35,920
Speaker 3: How you doing pretty good.

17
00:00:35,960 --> 00:00:38,680
Speaker 2: I've been debating whether to throw on the Santa hat

18
00:00:38,760 --> 00:00:38,920
Speaker 2: or not.

19
00:00:39,159 --> 00:00:40,040
Speaker 3: I might do it later.

20
00:00:40,200 --> 00:00:42,239
Speaker 2: The topic is content is a little series at the

21
00:00:42,240 --> 00:00:43,800
Speaker 2: top of the show, so I'm not sure I want

22
00:00:43,800 --> 00:00:45,839
Speaker 2: to be Santa hat it out here to talk about this.

23
00:00:46,120 --> 00:00:49,880
Speaker 4: I hadn't bet that that would be jarring. Crystal, I

24
00:00:49,920 --> 00:00:50,720
Speaker 4: think you made the right call.

25
00:00:50,840 --> 00:00:53,720
Speaker 2: That's that's always my hesitation. Like with the Halloween costumes

26
00:00:53,720 --> 00:00:56,840
Speaker 2: and stuff too. It's like, you know, last year we

27
00:00:56,920 --> 00:00:59,480
Speaker 2: did it, and I did ray Gun, which was fun

28
00:00:59,480 --> 00:01:01,560
Speaker 2: and people really liked it. And I don't remember what

29
00:01:01,640 --> 00:01:03,480
Speaker 2: we covered today but that day. But I don't think

30
00:01:03,480 --> 00:01:06,760
Speaker 2: there's anything like too crazy serious. But yeah, it just

31
00:01:06,800 --> 00:01:09,360
Speaker 2: feels very off if you're wearing some like goofy costume

32
00:01:09,400 --> 00:01:11,559
Speaker 2: and then you're covering like, you know, a mass murder

33
00:01:11,640 --> 00:01:14,880
Speaker 2: or whatever or Epstein, pedophiles, et cetera.

34
00:01:15,120 --> 00:01:21,400
Speaker 3: So in any case, Jeffrey Epstein feels wrong. It feels

35
00:01:21,440 --> 00:01:22,680
Speaker 3: really wrong, doesn't feel right.

36
00:01:23,640 --> 00:01:27,240
Speaker 2: Yeah, So anyway, but we do have major updates in

37
00:01:27,319 --> 00:01:31,600
Speaker 2: terms of what we now know. Apparently, according to the government,

38
00:01:31,880 --> 00:01:34,520
Speaker 2: is the killer who shot the two students actually shot

39
00:01:34,560 --> 00:01:36,600
Speaker 2: in a number more than that. The killed two students

40
00:01:36,600 --> 00:01:40,480
Speaker 2: at Brown University and then traveled some fifty five miles

41
00:01:41,000 --> 00:01:44,440
Speaker 2: and murdered a professor at his home at MIT. It

42
00:01:44,480 --> 00:01:47,360
Speaker 2: was apparently the same guy he's now been found dead

43
00:01:47,480 --> 00:01:49,960
Speaker 2: killed himself inside of a storage unit. And let me

44
00:01:50,000 --> 00:01:52,000
Speaker 2: go ahead and see if I can pull up this

45
00:01:52,040 --> 00:01:54,200
Speaker 2: New York Times article that just gives us like a

46
00:01:54,280 --> 00:01:58,960
Speaker 2: rundown of what happened here. Also, interestingly, just off the top,

47
00:01:59,240 --> 00:02:02,760
Speaker 2: apparently the tip that really blew the case open came

48
00:02:02,800 --> 00:02:05,280
Speaker 2: from Reddit, and it was like, a yeah, it was

49
00:02:05,320 --> 00:02:07,920
Speaker 2: not only Reddit. I think it was someone who was

50
00:02:07,960 --> 00:02:10,520
Speaker 2: homeless and sleeps in the basement of one of the

51
00:02:10,520 --> 00:02:14,560
Speaker 2: Brown University buildings. Saw this guy acting bizarrely, had an

52
00:02:14,600 --> 00:02:16,640
Speaker 2: interaction with him in the bathroom. Was like, this guy's

53
00:02:16,720 --> 00:02:19,959
Speaker 2: dressed weird, he's acting weird. He's acting weird around this car.

54
00:02:20,639 --> 00:02:22,960
Speaker 2: Followed him a little bit and asked him like, dude,

55
00:02:22,960 --> 00:02:26,560
Speaker 2: what are you up to? So anyway, that appears to

56
00:02:26,600 --> 00:02:28,880
Speaker 2: be the tip that blew the thing open. So in

57
00:02:28,919 --> 00:02:30,679
Speaker 2: any case, let me read from you for you a

58
00:02:30,680 --> 00:02:32,880
Speaker 2: little bit. Here they say a man's suspective carrying out

59
00:02:32,919 --> 00:02:35,720
Speaker 2: a pair of deadly attacks, one at Brown University that

60
00:02:35,800 --> 00:02:38,120
Speaker 2: killed two students and wounded nine more on another that

61
00:02:38,200 --> 00:02:41,480
Speaker 2: killed an MIT professor's home found Deadness Steorage unit in

62
00:02:41,520 --> 00:02:44,680
Speaker 2: New Hampshire on Thursday. The suspect's death, which the police

63
00:02:44,680 --> 00:02:47,600
Speaker 2: said was from a self inflicted gunshot wound, ended a

64
00:02:47,720 --> 00:02:50,480
Speaker 2: five day search that began on Brown's campus and Providence,

65
00:02:50,560 --> 00:02:53,359
Speaker 2: Rhode Island. Case book captivated and rattled New England as

66
00:02:53,400 --> 00:02:57,160
Speaker 2: investigators pieced together grainy surveillance footage and feared another burst

67
00:02:57,160 --> 00:03:00,320
Speaker 2: of violence. The search stretched across state lines, ultimately hinge

68
00:03:00,360 --> 00:03:03,480
Speaker 2: on witness interviews and providence, including a Reddit user, along

69
00:03:03,520 --> 00:03:06,040
Speaker 2: with records from a car rental agency in Boston and

70
00:03:06,120 --> 00:03:09,320
Speaker 2: search warrant in Salem, New Hampshire. Nothing can really fully

71
00:03:09,680 --> 00:03:11,480
Speaker 2: bring closure to the lives that have been shadow of

72
00:03:11,520 --> 00:03:14,520
Speaker 2: the past week. This may allow our community to move forward.

73
00:03:14,840 --> 00:03:19,239
Speaker 2: So law enforcement officials identified the suspect as Claudio Manuel

74
00:03:19,800 --> 00:03:24,760
Speaker 2: Nevez Valente, forty eight years old, a former Brown student

75
00:03:25,080 --> 00:03:28,120
Speaker 2: who was recently enrolled at the university more than two

76
00:03:28,160 --> 00:03:34,000
Speaker 2: decades ago. Last known address was in Miami. Investigators still

77
00:03:34,400 --> 00:03:37,880
Speaker 2: not sure what the motive was behind the attacks. This

78
00:03:37,960 --> 00:03:40,680
Speaker 2: talks more about the anonymous tip, and then this gives

79
00:03:40,760 --> 00:03:42,920
Speaker 2: us a little bit more on the suspect. So he

80
00:03:43,040 --> 00:03:46,320
Speaker 2: had studied physics as a grad student Brown in the

81
00:03:46,360 --> 00:03:50,920
Speaker 2: early two thousands. He's from Portugal. Became a permanent resident

82
00:03:51,000 --> 00:03:54,640
Speaker 2: of the US in twenty seventeen through a diversity visa lottery.

83
00:03:54,880 --> 00:03:58,320
Speaker 2: The Trump administration is now seized on that fact to

84
00:03:58,640 --> 00:04:01,520
Speaker 2: say that they're shutting down the entire diversity visa lottery,

85
00:04:01,560 --> 00:04:04,200
Speaker 2: which is, you know, something we could discuss more. They

86
00:04:04,240 --> 00:04:07,520
Speaker 2: believe he studied at the same school as the professor

87
00:04:07,600 --> 00:04:11,240
Speaker 2: that he murdered, so in Lisbon. So they studied at

88
00:04:11,240 --> 00:04:13,800
Speaker 2: the school at the same time in Lisbon, so the

89
00:04:13,840 --> 00:04:16,640
Speaker 2: two might have known each other. Details of their relationship

90
00:04:16,720 --> 00:04:19,800
Speaker 2: remain unclear and still completely unclear what the motive was

91
00:04:20,000 --> 00:04:23,719
Speaker 2: for the you know, the mass shooting at Brown University.

92
00:04:24,240 --> 00:04:28,160
Speaker 4: So studied has been together. I believe it's studying in

93
00:04:28,400 --> 00:04:33,039
Speaker 4: Lisbon together even before Brown. So, yes, that's right, Yeah,

94
00:04:33,040 --> 00:04:35,560
Speaker 4: which is exactly extremely bizarre connection.

95
00:04:36,920 --> 00:04:39,440
Speaker 2: Yeah, I mean, the whole thing is is very strange,

96
00:04:39,640 --> 00:04:42,600
Speaker 2: and you know, I guess you know, given that we

97
00:04:43,680 --> 00:04:46,239
Speaker 2: the public rushes to view these things for through whatever

98
00:04:46,400 --> 00:04:48,480
Speaker 2: like partisan or political lens. On the one side, you've

99
00:04:48,480 --> 00:04:50,360
Speaker 2: got he's an immigrant. On the other side, he's a

100
00:04:50,360 --> 00:04:56,720
Speaker 2: white guy, so from Portugal. The diversity lottery aspect of this,

101
00:04:57,040 --> 00:04:59,120
Speaker 2: you know, I was reading more about it. There's there's

102
00:04:59,200 --> 00:05:02,320
Speaker 2: kind of an irony here. Actually put in place, the

103
00:05:02,760 --> 00:05:05,680
Speaker 2: precursor program to it was specifically aimed at getting more

104
00:05:05,720 --> 00:05:10,599
Speaker 2: Irish immigrants into the US because after the nineteen sixty

105
00:05:10,640 --> 00:05:13,280
Speaker 2: five changes where there were no more like country quotas,

106
00:05:13,440 --> 00:05:17,240
Speaker 2: there was a sense that European countries and Eastern European

107
00:05:17,279 --> 00:05:22,280
Speaker 2: countries were being disadvantaged in terms of bringing in immigrants,

108
00:05:22,560 --> 00:05:24,520
Speaker 2: and so it was actually some of the more kind

109
00:05:24,520 --> 00:05:29,359
Speaker 2: of like white nativist types that introduced this program because

110
00:05:29,360 --> 00:05:33,560
Speaker 2: they wanted more white immigrants. And then over the years,

111
00:05:34,000 --> 00:05:36,600
Speaker 2: as you had more of a diaspora from some of

112
00:05:36,640 --> 00:05:40,760
Speaker 2: those European countries, you know, Irish in particular, then they

113
00:05:40,839 --> 00:05:43,520
Speaker 2: sort of phased out of being really eligible for this program.

114
00:05:43,600 --> 00:05:47,400
Speaker 2: They could use the family reunification and the chain migration

115
00:05:47,680 --> 00:05:51,039
Speaker 2: aspects inherent in our immigration policy. And so that vis

116
00:05:51,080 --> 00:05:55,240
Speaker 2: a lottery still has a significant portion of Europeans who

117
00:05:55,279 --> 00:05:58,080
Speaker 2: come in through it, but it has skewed more towards

118
00:05:58,320 --> 00:06:01,560
Speaker 2: African countries, and it's it's meant to be for countries

119
00:06:01,600 --> 00:06:03,960
Speaker 2: that don't historically have a lot of immigrants coming to

120
00:06:04,000 --> 00:06:04,320
Speaker 2: the US.

121
00:06:04,440 --> 00:06:05,800
Speaker 3: Is basically the idea behind it.

122
00:06:06,839 --> 00:06:10,120
Speaker 5: Yeah, the other irony of the nineteen sixty five law

123
00:06:10,160 --> 00:06:14,880
Speaker 5: is that it was really geared toward the ninety seat fire.

124
00:06:14,880 --> 00:06:17,520
Speaker 5: They had this nostalgia for you know, Ellis Island and

125
00:06:17,560 --> 00:06:20,320
Speaker 5: all the Italians and Irish and Europeans who were coming in,

126
00:06:20,760 --> 00:06:22,360
Speaker 5: and so in sixty five they're like, all right, let's

127
00:06:22,400 --> 00:06:24,560
Speaker 5: let's open it back up and let more Europeans in

128
00:06:25,080 --> 00:06:26,680
Speaker 5: because they're you know, those are our those are our

129
00:06:26,680 --> 00:06:29,880
Speaker 5: white brothers over there, and they didn't want to come

130
00:06:30,480 --> 00:06:34,840
Speaker 5: like things were good in Europe, and American policymakers were

131
00:06:34,880 --> 00:06:36,000
Speaker 5: just kind of stunned.

132
00:06:35,720 --> 00:06:36,280
Speaker 6: Like what do you mean.

133
00:06:36,320 --> 00:06:38,200
Speaker 5: I thought we thought everybody wanted to come to the

134
00:06:38,279 --> 00:06:41,280
Speaker 5: United States of America. It's like the greatest place on Earth.

135
00:06:42,040 --> 00:06:46,120
Speaker 5: And instead, like you said, other countries filled the filled

136
00:06:46,120 --> 00:06:50,320
Speaker 5: those quotas, leading to then some efforts to correct it.

137
00:06:50,400 --> 00:06:51,760
Speaker 5: Be like, hold on, we got to get the hue

138
00:06:51,760 --> 00:06:53,600
Speaker 5: a little bit lighter. Come on, what's going on here

139
00:06:53,600 --> 00:06:54,839
Speaker 5: with this immigration policy?

140
00:06:55,600 --> 00:06:59,400
Speaker 2: Yes, so this one that was put in place originally

141
00:06:59,720 --> 00:07:02,760
Speaker 2: to once again lightened the skin color of the people

142
00:07:02,760 --> 00:07:06,080
Speaker 2: that came in over time now has shifted in its

143
00:07:06,720 --> 00:07:07,640
Speaker 2: proportions as well.

144
00:07:08,200 --> 00:07:10,840
Speaker 4: I think another interesting aspect of the story is the

145
00:07:10,880 --> 00:07:15,880
Speaker 4: frustration locally in Providence and on the Brown University campus.

146
00:07:15,880 --> 00:07:18,400
Speaker 4: So I wanted to roll this clip of part of

147
00:07:18,440 --> 00:07:21,080
Speaker 4: the press conference last night. There were two press conferences.

148
00:07:21,120 --> 00:07:23,640
Speaker 4: There was one in Boston and then there was one

149
00:07:23,920 --> 00:07:26,840
Speaker 4: in Providence. This is the Providence press conference, and you

150
00:07:26,960 --> 00:07:28,800
Speaker 4: just hear the frustration bubbling up.

151
00:07:30,120 --> 00:07:33,480
Speaker 7: Than from NBC ten, I want to go back to

152
00:07:33,480 --> 00:07:35,800
Speaker 7: the question I asked you Saturday night when I first

153
00:07:36,200 --> 00:07:37,280
Speaker 7: arrived on the scene.

154
00:07:37,720 --> 00:07:41,840
Speaker 8: There were no cameras in this building, and law enforcements,

155
00:07:41,880 --> 00:07:44,400
Speaker 8: some that are standing up behind you have said if

156
00:07:44,440 --> 00:07:47,320
Speaker 8: Brown had cameras in that part of the building, we

157
00:07:47,360 --> 00:07:48,360
Speaker 8: would have gotten this guy.

158
00:07:49,440 --> 00:07:51,640
Speaker 4: And I just want to pause there and mention that's

159
00:07:51,720 --> 00:07:54,320
Speaker 4: not a small part of the story because allegedly the

160
00:07:54,400 --> 00:07:56,160
Speaker 4: suspect is then killed again.

161
00:07:58,600 --> 00:08:00,920
Speaker 7: And it may have stopped swirling action.

162
00:08:02,000 --> 00:08:03,200
Speaker 4: Can you ask that question for me?

163
00:08:03,760 --> 00:08:06,960
Speaker 9: Well, I don't think we have said the locations of

164
00:08:07,120 --> 00:08:08,240
Speaker 9: cameras at Brown.

165
00:08:08,280 --> 00:08:12,240
Speaker 7: We have because why would they car agency.

166
00:08:12,280 --> 00:08:14,720
Speaker 9: We have twelve hundred cameras at Brown, but not in

167
00:08:14,760 --> 00:08:17,200
Speaker 9: that building. We have some in that building. It's a

168
00:08:17,360 --> 00:08:21,200
Speaker 9: large complex, and I think what you would see is

169
00:08:21,240 --> 00:08:24,280
Speaker 9: the video evidence in this case. From my perspective, I'm

170
00:08:24,320 --> 00:08:28,360
Speaker 9: not a law enforcement agent, has been incredibly helpful. The

171
00:08:29,080 --> 00:08:32,480
Speaker 9: moving of the person around the neighborhood. Those video images

172
00:08:32,920 --> 00:08:35,960
Speaker 9: they helped craft this case. So I think video was important.

173
00:08:36,760 --> 00:08:40,319
Speaker 9: And as the Attorney General explained at a recent press conference,

174
00:08:40,840 --> 00:08:44,400
Speaker 9: this individual was not spending his time on the Brown campus.

175
00:08:44,720 --> 00:08:46,760
Speaker 9: He came into a building on the edge of the

176
00:08:46,800 --> 00:08:50,839
Speaker 9: campus he left, he was in the neighborhoods. The investigation

177
00:08:51,000 --> 00:08:54,120
Speaker 9: focused on the neighborhoods. The video was there and that

178
00:08:54,360 --> 00:08:56,800
Speaker 9: was really really instrumental in crafting the case.

179
00:08:57,000 --> 00:09:04,280
Speaker 7: But you can ask them, yes, video played a big

180
00:09:04,360 --> 00:09:05,320
Speaker 7: role in this case.

181
00:09:06,120 --> 00:09:10,480
Speaker 8: The neighbors video, the rental car video, but not the

182
00:09:10,559 --> 00:09:14,360
Speaker 8: video in the building that he walked in freely, both before.

183
00:09:13,960 --> 00:09:16,080
Speaker 7: When he got in a confrontation and when he came

184
00:09:16,160 --> 00:09:20,200
Speaker 7: back in decided to kill people. You didn't have cameras

185
00:09:20,200 --> 00:09:22,640
Speaker 7: in that building. Just say it so you can give

186
00:09:22,679 --> 00:09:31,240
Speaker 7: us over it. And my next question, yeah.

187
00:09:29,800 --> 00:09:31,720
Speaker 9: You know, I I think we need to look back.

188
00:09:31,760 --> 00:09:33,880
Speaker 9: We'll look at everything that is done. But I do

189
00:09:34,000 --> 00:09:37,160
Speaker 9: not think a lack of cameras in that building it

190
00:09:37,240 --> 00:09:39,320
Speaker 9: had anything to do with what happened.

191
00:09:39,640 --> 00:09:41,960
Speaker 4: We can stop it there. But yeah, you can see.

192
00:09:42,120 --> 00:09:47,400
Speaker 4: That's the president of Brown under intense scrutiny also for

193
00:09:47,760 --> 00:09:51,240
Speaker 4: coming out after this originally happened and saying basically, we

194
00:09:51,280 --> 00:09:56,360
Speaker 4: think everybody should feel safe. That has infuriated the community

195
00:09:56,360 --> 00:09:59,720
Speaker 4: as well, because now we know again allegedly the suspect

196
00:10:00,040 --> 00:10:03,600
Speaker 4: did kind of go along with the theory saga had

197
00:10:03,640 --> 00:10:08,880
Speaker 4: floated about a potential unabomb or something in that ballpark

198
00:10:09,520 --> 00:10:13,800
Speaker 4: targeting campuses, and obviously it seems to have happened again

199
00:10:13,840 --> 00:10:14,240
Speaker 4: at MIT.

200
00:10:15,240 --> 00:10:18,679
Speaker 2: I mean that I understand the sentiment as being expressed there.

201
00:10:18,760 --> 00:10:21,640
Speaker 2: I will also say that like that sentiment, I feel like,

202
00:10:21,760 --> 00:10:24,120
Speaker 2: is how we've ended up with a mass surveillance state

203
00:10:24,160 --> 00:10:26,079
Speaker 2: where there are cameras every day and we're all being

204
00:10:26,120 --> 00:10:28,840
Speaker 2: tricked totally, like, you know, like, oh my god, we

205
00:10:28,880 --> 00:10:33,960
Speaker 2: need even more camera like building that wasn't under surveillance

206
00:10:34,040 --> 00:10:36,920
Speaker 2: twenty four to seven and facial recognition and listen, the

207
00:10:36,960 --> 00:10:38,400
Speaker 2: public will agree with that person.

208
00:10:38,720 --> 00:10:39,520
Speaker 3: You know, there will be.

209
00:10:39,520 --> 00:10:41,320
Speaker 2: An instinct of like, yes we have to you know,

210
00:10:41,440 --> 00:10:44,280
Speaker 2: and yes, install them metal detectors and we got to

211
00:10:44,280 --> 00:10:46,439
Speaker 2: make sure, you know, you're scanning their retinas as they're

212
00:10:46,480 --> 00:10:48,400
Speaker 2: coming in or whatever. And so that is how you

213
00:10:48,520 --> 00:10:51,080
Speaker 2: end up with the situation we are in where basically

214
00:10:51,200 --> 00:10:54,480
Speaker 2: you cannot really live your life without being under mass

215
00:10:54,480 --> 00:10:58,000
Speaker 2: surveillance from from the government. The other thing that I'll

216
00:10:58,000 --> 00:11:02,600
Speaker 2: say is, you know, disconnector from that is I'm very

217
00:11:02,640 --> 00:11:06,679
Speaker 2: curious to see where the conspiratorial minds go with this,

218
00:11:06,920 --> 00:11:09,880
Speaker 2: because now you have very unclear motive.

219
00:11:10,600 --> 00:11:11,920
Speaker 3: What the hell was going on here.

220
00:11:12,320 --> 00:11:15,160
Speaker 2: This one guy that the professor that he murdered, was

221
00:11:15,200 --> 00:11:20,520
Speaker 2: doing extraordinarily important breakthrough work with regard to nuclear fusion

222
00:11:20,559 --> 00:11:26,600
Speaker 2: technology and so and now this guy's dead, so we'll

223
00:11:26,640 --> 00:11:28,960
Speaker 2: never know, He'll never be able to tell us what

224
00:11:29,000 --> 00:11:30,960
Speaker 2: he was thinking, or who he might have targeted next

225
00:11:31,080 --> 00:11:34,560
Speaker 2: or whatever. So just brace yourself, for I'm sure there's

226
00:11:34,600 --> 00:11:36,640
Speaker 2: going to be a lot of and look, I understand

227
00:11:36,640 --> 00:11:39,439
Speaker 2: because I myself am like, what the hell's going on here?

228
00:11:39,600 --> 00:11:40,160
Speaker 3: Too?

229
00:11:40,520 --> 00:11:43,439
Speaker 2: And of course you should always be skeptical of government claims, etc.

230
00:11:43,800 --> 00:11:46,600
Speaker 2: But I just I am sure that we're going to

231
00:11:46,640 --> 00:11:49,320
Speaker 2: be in for a lot of a lot of speculation

232
00:11:49,640 --> 00:11:51,959
Speaker 2: about what was really going on underneath the surface here

233
00:11:52,000 --> 00:11:53,680
Speaker 2: and whether this is really the guy and all that

234
00:11:53,720 --> 00:11:54,320
Speaker 2: kind of stuff.

235
00:11:54,720 --> 00:11:57,120
Speaker 4: Yeah, and just a quick note, say, you cameras do

236
00:11:57,200 --> 00:11:59,960
Speaker 4: not solve everything. Like almost every inch of New York's

237
00:12:00,080 --> 00:12:03,640
Speaker 4: city is surveilled, and Luigi Mangioni was able to get

238
00:12:03,679 --> 00:12:08,520
Speaker 4: to what Pennsylvania New York City has this partnership with Microsoft.

239
00:12:08,559 --> 00:12:10,440
Speaker 4: There's like a lawsuit over it right now. Or they're

240
00:12:10,440 --> 00:12:14,920
Speaker 4: doing like constant biometrics from cameras that are all over

241
00:12:14,960 --> 00:12:17,560
Speaker 4: the city. So it doesn't solve everything. I think it's

242
00:12:17,559 --> 00:12:22,640
Speaker 4: interesting that I do think that this subplot is interesting

243
00:12:22,800 --> 00:12:26,400
Speaker 4: on the campus where there's mismanagement, because I wonder then

244
00:12:26,480 --> 00:12:28,319
Speaker 4: to what extent it's going to bleed over to Mit.

245
00:12:28,920 --> 00:12:31,800
Speaker 4: Not that the MIT professor was not on campus, was

246
00:12:31,800 --> 00:12:37,040
Speaker 4: at his own apartment in Brookline, but a seriously scary

247
00:12:37,080 --> 00:12:40,800
Speaker 4: situation in New England for several days. And now that

248
00:12:40,880 --> 00:12:45,480
Speaker 4: the man was found, the suspectors found dead, they're not

249
00:12:45,800 --> 00:12:48,760
Speaker 4: being clear about potential motives so far. There's plenty of

250
00:12:48,800 --> 00:12:51,360
Speaker 4: time for that, obviously to come out, but it also

251
00:12:51,679 --> 00:12:56,360
Speaker 4: leaves wide open the possibility that motivation remains a mystery.

252
00:12:56,360 --> 00:12:58,920
Speaker 4: Hopefully that's not the case. Hopefully it's clear cut and

253
00:12:58,960 --> 00:13:01,360
Speaker 4: we have information that comes up that makes it really

254
00:13:01,400 --> 00:13:03,480
Speaker 4: clear what was going on. But it is I mean,

255
00:13:03,480 --> 00:13:05,600
Speaker 4: when we were talking earlier about these connections that go

256
00:13:05,720 --> 00:13:09,520
Speaker 4: back literally to Lisbon in the late nineties and then

257
00:13:09,760 --> 00:13:12,400
Speaker 4: Brown in the early two thousands, you have, in the

258
00:13:12,440 --> 00:13:16,040
Speaker 4: case of the professor who was killed, a like leading

259
00:13:16,160 --> 00:13:19,920
Speaker 4: nuclear scientist. You have the vice president of the College

260
00:13:19,960 --> 00:13:24,680
Speaker 4: Republicans at Brown. It's all very it's I genuinely hope

261
00:13:24,679 --> 00:13:28,680
Speaker 4: that there's clear cut motive information out there because it's

262
00:13:29,160 --> 00:13:31,640
Speaker 4: it is like fodder for conspiracy theories.

263
00:13:31,640 --> 00:13:34,160
Speaker 2: As you said, personal, well and Ran did you see

264
00:13:34,200 --> 00:13:36,480
Speaker 2: Israel jumped in to say, oh, we think iron did it?

265
00:13:37,360 --> 00:13:41,160
Speaker 5: Yes, they were They were yes, because yeah, a nuclear

266
00:13:41,200 --> 00:13:43,920
Speaker 5: science is getting killed and they're like oh, and it's

267
00:13:43,960 --> 00:13:46,200
Speaker 5: like no, you know what, like you're the only country

268
00:13:46,240 --> 00:13:51,440
Speaker 5: actually that is just freely killing scientists and bragging about

269
00:13:51,480 --> 00:13:54,840
Speaker 5: it like you're projecting onto others. That's this level of

270
00:13:54,840 --> 00:13:58,959
Speaker 5: barbarity that that that did, certainly in this case, did

271
00:13:58,960 --> 00:14:02,880
Speaker 5: not exist. And when it comes to the uh, the

272
00:14:02,920 --> 00:14:06,080
Speaker 5: celebration of mass surveillance, it's interesting to note that the

273
00:14:06,200 --> 00:14:11,600
Speaker 5: three high profile shooters over the last year have been

274
00:14:11,640 --> 00:14:14,840
Speaker 5: caught by people. Whether you know, Luigi was caught by

275
00:14:14,880 --> 00:14:17,880
Speaker 5: a person at the McDonald's like, hey, it looks like Luigi.

276
00:14:18,360 --> 00:14:22,200
Speaker 5: Tyler Robinson if you believe he's a shooter there was

277
00:14:22,600 --> 00:14:25,280
Speaker 5: turned in by his family who were like, oh, that

278
00:14:25,320 --> 00:14:28,840
Speaker 5: looks like Tyler. And this guy caught by the Reddit

279
00:14:28,960 --> 00:14:32,400
Speaker 5: user who who just saw him suspiciously walking through the

280
00:14:32,440 --> 00:14:34,960
Speaker 5: Brown campus and followed him and then told police like

281
00:14:35,000 --> 00:14:36,760
Speaker 5: so that's that's old school.

282
00:14:38,200 --> 00:14:41,800
Speaker 6: So, you know, social policing, the community.

283
00:14:42,960 --> 00:14:45,440
Speaker 5: Rising to the occasion and saying this is this is

284
00:14:45,480 --> 00:14:48,360
Speaker 5: who it was, and then the police having that information

285
00:14:48,440 --> 00:14:49,720
Speaker 5: and then tracking it down from there.

286
00:14:50,200 --> 00:14:52,160
Speaker 2: I mean it's kind of a mix, right though, because

287
00:14:52,320 --> 00:14:55,200
Speaker 2: the reason that Luigi and Tyler in particular were caught

288
00:14:55,240 --> 00:14:58,880
Speaker 2: is because we had those camera images, whereas with this one,

289
00:14:58,880 --> 00:15:01,480
Speaker 2: it actually truly was just this like reddit guy, like,

290
00:15:01,520 --> 00:15:05,240
Speaker 2: this guy's acting really weird without even seeing I think

291
00:15:05,280 --> 00:15:07,160
Speaker 2: the photos are the or the videos.

292
00:15:07,520 --> 00:15:10,640
Speaker 6: But yeah, but I mean como yeah.

293
00:15:11,000 --> 00:15:12,440
Speaker 10: Well two.

294
00:15:13,440 --> 00:15:15,800
Speaker 4: And also that I think that's an important point because

295
00:15:16,200 --> 00:15:20,560
Speaker 4: with Tyler Robinson and potentially in this case, you have

296
00:15:20,640 --> 00:15:24,560
Speaker 4: to ask whether law enforcement, including the FBI, would have

297
00:15:24,920 --> 00:15:30,280
Speaker 4: been able to nab the suspect had someone not stepped

298
00:15:30,360 --> 00:15:32,280
Speaker 4: up and seen something or done something. I think that's

299
00:15:32,280 --> 00:15:34,560
Speaker 4: particularly true in the Tyler Robinson case when you have

300
00:15:35,000 --> 00:15:38,480
Speaker 4: his family doing the enormously difficult thing of turning him in.

301
00:15:39,040 --> 00:15:43,640
Speaker 4: Does is he in custody if that doesn't happen, or

302
00:15:43,680 --> 00:15:46,520
Speaker 4: does law enforcement, you know, in a reasonable time frame

303
00:15:46,960 --> 00:15:50,800
Speaker 4: track him down that It's it's sort of saves the uh,

304
00:15:51,320 --> 00:15:55,040
Speaker 4: saves the bacon of law enforcement to an extent to.

305
00:15:56,120 --> 00:15:58,960
Speaker 2: Yeah, pulling back cash once again, wasn't wasn't looking great

306
00:15:59,000 --> 00:15:59,600
Speaker 2: on this one.

307
00:15:59,840 --> 00:16:00,560
Speaker 3: And the other thing.

308
00:16:00,600 --> 00:16:02,320
Speaker 2: The last thing I want to say about this is

309
00:16:02,880 --> 00:16:05,520
Speaker 2: you had people who were saying with confidence, like, oh,

310
00:16:05,560 --> 00:16:08,880
Speaker 2: we think this particular guy and named this one kid

311
00:16:09,000 --> 00:16:12,760
Speaker 2: around university student and you know, his name went everywhere,

312
00:16:13,320 --> 00:16:16,720
Speaker 2: large accounts sharing this guy's name and his photo and

313
00:16:16,760 --> 00:16:20,760
Speaker 2: digging into everything about him, and he had nothing to

314
00:16:20,880 --> 00:16:24,000
Speaker 2: do with this. They were also saying, Lori Lumer and

315
00:16:24,040 --> 00:16:27,720
Speaker 2: others were oh, they shouted Allahu akbar before they know, No,

316
00:16:27,840 --> 00:16:31,000
Speaker 2: actually they didn't. The killer did not do that. Apparently

317
00:16:31,040 --> 00:16:34,000
Speaker 2: he was made some weird barking noises before he opened fire.

318
00:16:34,640 --> 00:16:37,880
Speaker 2: People make shit up and they dos people and like

319
00:16:38,080 --> 00:16:42,120
Speaker 2: ruin their lives based on, you know, a hunch, based

320
00:16:42,120 --> 00:16:44,840
Speaker 2: on like, oh, their social media profile looks like this,

321
00:16:45,000 --> 00:16:47,560
Speaker 2: and my political valance makes me think that it must

322
00:16:47,600 --> 00:16:50,400
Speaker 2: be must be a Muslim person who's like that. And

323
00:16:50,440 --> 00:16:53,680
Speaker 2: then they'll just casually ruin somebody's life. And we've seen

324
00:16:53,720 --> 00:16:57,000
Speaker 2: this happen multiple times. When they were still searching for

325
00:16:57,320 --> 00:16:59,560
Speaker 2: Tyler Robinson, we didn't have a killer of Charlie Kirk

326
00:17:00,160 --> 00:17:02,440
Speaker 2: doing the same ship with a bunch of different people.

327
00:17:02,480 --> 00:17:04,440
Speaker 3: I'm one of our own fans of our show wrote

328
00:17:04,480 --> 00:17:05,720
Speaker 3: and said, please tell people.

329
00:17:05,520 --> 00:17:07,679
Speaker 2: To stop doing this. So please, I beg you not

330
00:17:07,720 --> 00:17:10,960
Speaker 2: that anyone's going to listen. Stop doing this because you

331
00:17:11,080 --> 00:17:14,200
Speaker 2: destroy people's lives and private people.

332
00:17:13,920 --> 00:17:15,639
Speaker 3: Like this will be the only thing, you know.

333
00:17:15,760 --> 00:17:18,520
Speaker 2: The biggest thing about them on the internet is that

334
00:17:18,640 --> 00:17:21,359
Speaker 2: you know, people thought they they killed this high they

335
00:17:21,359 --> 00:17:25,000
Speaker 2: were involved in this high profile murder. So I just

336
00:17:25,200 --> 00:17:28,320
Speaker 2: I just find the whole the whole thing really disgusting,

337
00:17:28,680 --> 00:17:33,119
Speaker 2: the baseless accusations and always again designed to fit some

338
00:17:33,280 --> 00:17:35,919
Speaker 2: person into whatever political narrative they want to push with

339
00:17:35,960 --> 00:17:40,760
Speaker 2: regard to the killing. All Right, so we've got today

340
00:17:40,920 --> 00:17:43,120
Speaker 2: is Epstein Files Release Day.

341
00:17:43,760 --> 00:17:44,720
Speaker 3: Ryan's got a big.

342
00:17:45,600 --> 00:17:48,000
Speaker 4: Files release day to both of you.

343
00:17:48,080 --> 00:17:56,720
Speaker 2: Indeed, this is put on the Santa Hat soh Rocanna

344
00:17:56,920 --> 00:18:00,199
Speaker 2: and Thomas Massey partners together and Marjorie Taylor Green had

345
00:18:00,200 --> 00:18:02,760
Speaker 2: a bit of a bipartisan push and enough Republicans coming

346
00:18:02,840 --> 00:18:05,840
Speaker 2: on to the discharge petition to force a vote on this.

347
00:18:05,920 --> 00:18:08,080
Speaker 2: President Trump sort of back down, realizing he was in

348
00:18:08,119 --> 00:18:12,760
Speaker 2: a corner with this signed this law that says, you

349
00:18:12,760 --> 00:18:15,520
Speaker 2: know you have to now release these files or else

350
00:18:15,600 --> 00:18:18,240
Speaker 2: there will you will actually be in violation of the law,

351
00:18:18,359 --> 00:18:21,160
Speaker 2: so the deadline is today. You also had a number

352
00:18:21,200 --> 00:18:23,840
Speaker 2: of federal judges come in who were involved in the

353
00:18:23,880 --> 00:18:26,679
Speaker 2: various like Glaine Maxwell and Epstein cases both in Florida,

354
00:18:26,680 --> 00:18:29,359
Speaker 2: and then what was that in New York? Anyway, say,

355
00:18:29,800 --> 00:18:33,439
Speaker 2: you know, we we agree that these materials, now that

356
00:18:33,480 --> 00:18:35,760
Speaker 2: the law has been passed, need to be released. So

357
00:18:35,800 --> 00:18:38,960
Speaker 2: we know that material will be included, and every be

358
00:18:39,000 --> 00:18:41,840
Speaker 2: in Congress conveniently decided they would leave town early, so

359
00:18:41,880 --> 00:18:43,800
Speaker 2: they're not They're gonna be totally out of dodge and

360
00:18:43,880 --> 00:18:47,320
Speaker 2: make sure they're nowhere near whenever what comes out comes out.

361
00:18:47,480 --> 00:18:50,399
Speaker 2: So Ryan, what are you you know, what do you

362
00:18:50,400 --> 00:18:52,760
Speaker 2: think we should expect? Since you are I mean you

363
00:18:52,840 --> 00:18:55,760
Speaker 2: probably the foremost journalists on this at this point in

364
00:18:55,840 --> 00:18:56,280
Speaker 2: the country.

365
00:18:56,720 --> 00:18:57,040
Speaker 3: Julie K.

366
00:18:57,160 --> 00:19:00,359
Speaker 2: Brown, a few other Jason Leopold maas, of course, what

367
00:19:00,400 --> 00:19:03,080
Speaker 2: do you think we should be looking for in this release?

368
00:19:03,720 --> 00:19:05,119
Speaker 6: And that's kind of you.

369
00:19:05,160 --> 00:19:08,240
Speaker 5: I wouldn't put myself there that so many journalists have

370
00:19:08,240 --> 00:19:10,800
Speaker 5: been doing so much work on this, including Whitney Web

371
00:19:10,880 --> 00:19:12,800
Speaker 5: for you know, for so long.

372
00:19:14,080 --> 00:19:16,160
Speaker 6: You know, we've we've got we're relying.

373
00:19:15,840 --> 00:19:21,520
Speaker 5: On this the Troncias stuff that's out and you know, Uh,

374
00:19:22,040 --> 00:19:25,080
Speaker 5: so I think that there could be interesting stuff out

375
00:19:25,119 --> 00:19:28,240
Speaker 5: of the grand jury testimony like that, could you know

376
00:19:28,280 --> 00:19:31,239
Speaker 5: there could be some serious breadcrumbs there if people are

377
00:19:31,240 --> 00:19:36,240
Speaker 5: wondering about the timing, the Trump's capitulation was very cleverly timed,

378
00:19:36,800 --> 00:19:41,000
Speaker 5: like he because there's a thirty day timing, and so

379
00:19:42,400 --> 00:19:46,480
Speaker 5: either it was luck or he recognized like oh, or

380
00:19:46,520 --> 00:19:48,399
Speaker 5: his team recognized like if we do it right now

381
00:19:49,760 --> 00:19:52,720
Speaker 5: and signing in the law now, the thirty days will

382
00:19:52,800 --> 00:19:56,560
Speaker 5: land on the Friday before Christmas. So let's let's just

383
00:19:56,640 --> 00:19:58,960
Speaker 5: let's just we're gonna lose this anyway, better to lose

384
00:19:59,000 --> 00:20:03,200
Speaker 5: it now. Because so much of history, what we remember

385
00:20:03,240 --> 00:20:07,000
Speaker 5: of history revolves around how big a deal a story

386
00:20:07,160 --> 00:20:10,000
Speaker 5: was when it happened. And if a story just kind

387
00:20:10,000 --> 00:20:13,600
Speaker 5: of gets muzzled when it happens like it, it's really

388
00:20:13,640 --> 00:20:16,679
Speaker 5: difficult then to unearth it later as a major kind

389
00:20:16,720 --> 00:20:21,240
Speaker 5: of quote unquote historical moment. It's like, why you know,

390
00:20:21,320 --> 00:20:24,520
Speaker 5: some scandals are iran contrance. Some scandals are just kind

391
00:20:24,520 --> 00:20:25,760
Speaker 5: of nobody's ever heard of them.

392
00:20:26,560 --> 00:20:28,600
Speaker 4: I was thinking about the subs night too, because the

393
00:20:28,680 --> 00:20:32,640
Speaker 4: shutdown is what prevented the bill from being the discharge

394
00:20:32,640 --> 00:20:35,520
Speaker 4: petition from going through, and so it does. I mean,

395
00:20:35,800 --> 00:20:38,360
Speaker 4: I don't know if it would be strategically, it would

396
00:20:38,359 --> 00:20:41,160
Speaker 4: make sense that it was intentional, But also I wonder

397
00:20:41,160 --> 00:20:43,240
Speaker 4: if it was just dumb luck because they came back

398
00:20:43,240 --> 00:20:46,919
Speaker 4: from the shutdown and immediately the discharge petition which they

399
00:20:46,920 --> 00:20:49,040
Speaker 4: were worried about, went through. They knew that was going

400
00:20:49,080 --> 00:20:51,920
Speaker 4: to happen. But if that's luck, that is some incredible luck.

401
00:20:51,960 --> 00:20:55,240
Speaker 4: Because you're totally right, Ryan, it'll ination too.

402
00:20:55,480 --> 00:20:59,160
Speaker 5: But yeah, and yeah, maybe they'll wait till five.

403
00:20:59,240 --> 00:20:59,800
Speaker 10: Yeah.

404
00:21:00,000 --> 00:21:01,399
Speaker 2: I don't know if you can bury news though in

405
00:21:01,440 --> 00:21:03,240
Speaker 2: the way that you used to be able to, because

406
00:21:03,280 --> 00:21:06,400
Speaker 2: everybody's so it's not the same. The Friday news dump

407
00:21:06,440 --> 00:21:07,280
Speaker 2: isn't what it used to be.

408
00:21:07,480 --> 00:21:10,960
Speaker 4: And if anything, now that you have Christmas is on

409
00:21:10,960 --> 00:21:12,639
Speaker 4: a Thursday this year, a lot of people are going

410
00:21:12,680 --> 00:21:14,720
Speaker 4: to have a slow couple of weeks. Now you have

411
00:21:15,080 --> 00:21:19,080
Speaker 4: like online sleuths who are going to make sure the

412
00:21:19,160 --> 00:21:21,600
Speaker 4: story has legs because people have a little bit of

413
00:21:21,640 --> 00:21:24,520
Speaker 4: extra time on their hands over the next couple of weeks.

414
00:21:24,560 --> 00:21:24,760
Speaker 3: True.

415
00:21:24,840 --> 00:21:28,119
Speaker 5: Yeah, and Democrats yesterday put out some new photos that

416
00:21:28,359 --> 00:21:32,080
Speaker 5: you know, Dy'd obtained. They got more with Chomsky, just

417
00:21:32,560 --> 00:21:37,399
Speaker 5: very depressing stuff. Showing how much he was pealing around

418
00:21:37,400 --> 00:21:41,840
Speaker 5: with him and Ahood, Barack even and Bannon.

419
00:21:42,920 --> 00:21:47,760
Speaker 2: Also some weird ass like Lolita quotes on people's feet

420
00:21:47,800 --> 00:21:48,560
Speaker 2: and body parts.

421
00:21:48,560 --> 00:21:52,160
Speaker 3: Do you guys see that? Yeah, so I can pull

422
00:21:52,200 --> 00:21:54,760
Speaker 3: these up. Creepy, Yeah, very creepy.

423
00:21:54,800 --> 00:21:58,240
Speaker 2: And you've also had The New York Times now deciding

424
00:21:58,320 --> 00:22:01,440
Speaker 2: to get in the game with a couple of significant pieces,

425
00:22:01,440 --> 00:22:05,560
Speaker 2: but one in particular. Yeah, there's the Lolita Lolita quotes

426
00:22:05,600 --> 00:22:06,959
Speaker 2: on various body parts.

427
00:22:07,000 --> 00:22:09,240
Speaker 3: So that's just really normal stuff.

428
00:22:10,520 --> 00:22:14,639
Speaker 2: But the New York Times dug into his financing, and

429
00:22:14,680 --> 00:22:16,159
Speaker 2: I know, Ryan you had some thoughts about that, but

430
00:22:16,160 --> 00:22:19,880
Speaker 2: they also dug into specifically the relationship with Trump. And

431
00:22:20,880 --> 00:22:23,480
Speaker 2: maybe I can pull up some of the quotes here.

432
00:22:23,520 --> 00:22:26,880
Speaker 2: I know Jasper Nathaniel had pulled some of the key

433
00:22:26,960 --> 00:22:28,960
Speaker 2: quotes from this. But you know, I mean, this won't

434
00:22:29,000 --> 00:22:32,800
Speaker 2: be a surprise to any of us, because we know

435
00:22:32,920 --> 00:22:37,000
Speaker 2: that Trump and Epstein have this very you know, significant relationship.

436
00:22:37,200 --> 00:22:40,720
Speaker 2: But there were some details here that were for sure new.

437
00:22:40,760 --> 00:22:45,160
Speaker 2: So one of the things is a an Epstein employee

438
00:22:45,160 --> 00:22:47,880
Speaker 2: from the era, recalled mister Trump, would occasionally send over

439
00:22:48,040 --> 00:22:51,840
Speaker 2: modeling cards for mister Epstein to peruse like a menu.

440
00:22:52,119 --> 00:22:55,840
Speaker 2: And the Trump modeling agency has long been one of

441
00:22:55,920 --> 00:22:59,760
Speaker 2: the like major red flags because these modeling agencies, including

442
00:22:59,840 --> 00:23:02,720
Speaker 2: you know, I mean Epstein got close to Lex Wexner

443
00:23:02,720 --> 00:23:04,880
Speaker 2: and he has Victoria's secret and that's the whole thing.

444
00:23:04,960 --> 00:23:07,640
Speaker 2: But you know, Trump was very close to John Casablancas

445
00:23:07,680 --> 00:23:09,439
Speaker 2: and sort of looked up to him as a role model.

446
00:23:09,840 --> 00:23:14,080
Speaker 2: His modeling agency was maybe the most infamous and notorious

447
00:23:14,119 --> 00:23:18,240
Speaker 2: for exploiting young girls, and he himself for exploiting young girls.

448
00:23:18,600 --> 00:23:21,800
Speaker 2: And so the you know, the modeling agencies have been

449
00:23:22,080 --> 00:23:25,360
Speaker 2: used as a front for effectively human trafficking, and that's

450
00:23:25,520 --> 00:23:26,760
Speaker 2: a documented phenomenon.

451
00:23:26,800 --> 00:23:29,800
Speaker 3: So that's obviously disturbing piece of information.

452
00:23:29,960 --> 00:23:34,480
Speaker 2: There, You've got this gross detail where Trump would love to,

453
00:23:34,680 --> 00:23:37,560
Speaker 2: you know, they'd love to like publicly brag about their exploits,

454
00:23:37,600 --> 00:23:40,159
Speaker 2: put themselves on speaker phones, so whoever was in the

455
00:23:40,240 --> 00:23:43,560
Speaker 2: room had to uncomfortably listen to whatever their like sexual exploits.

456
00:23:43,560 --> 00:23:45,520
Speaker 2: Apparently they called each other all the time to share

457
00:23:45,520 --> 00:23:48,360
Speaker 2: this sort of information. This One woman says she remembers

458
00:23:48,400 --> 00:23:50,200
Speaker 2: one call in the mid nineties in which the two

459
00:23:50,240 --> 00:23:53,000
Speaker 2: men discussed how much pubacare a particular woman had and

460
00:23:53,040 --> 00:23:55,960
Speaker 2: whether there was enough for mister Epstein to fluss his

461
00:23:56,080 --> 00:23:58,360
Speaker 2: teeth with. On another of these calls, mister Trump told

462
00:23:58,359 --> 00:24:01,040
Speaker 2: mister Epstein about having sex with another woman on a

463
00:24:01,160 --> 00:24:06,600
Speaker 2: pool table. This one is very disturbing. One of the

464
00:24:07,000 --> 00:24:10,960
Speaker 2: fourteen year old models who was brought to mar A

465
00:24:11,000 --> 00:24:15,199
Speaker 2: Lagos one of these parties event type things, says she

466
00:24:15,320 --> 00:24:20,440
Speaker 2: ran into Trump's then wife, Marla Mables. According to her,

467
00:24:21,200 --> 00:24:22,919
Speaker 2: she says, during a trip to the bathroom, they ran

468
00:24:22,960 --> 00:24:24,879
Speaker 2: into mister Trump's new wife and they had met earlier.

469
00:24:24,920 --> 00:24:27,840
Speaker 2: Miss Maples classed her hands. Miss Coleman recalled, looks you're

470
00:24:27,880 --> 00:24:29,280
Speaker 2: in the eye. So this is the mother of the

471
00:24:29,320 --> 00:24:31,480
Speaker 2: fourteen year old model and says, whatever you do, do

472
00:24:31,600 --> 00:24:34,160
Speaker 2: not let her around any of these men, and especially

473
00:24:34,200 --> 00:24:34,880
Speaker 2: my husband.

474
00:24:35,320 --> 00:24:35,960
Speaker 3: Protect her.

475
00:24:36,720 --> 00:24:40,400
Speaker 2: Now, Marla Maples denies that that that she said that

476
00:24:40,760 --> 00:24:43,600
Speaker 2: and that that quote occurred. But in any case, some

477
00:24:43,720 --> 00:24:47,040
Speaker 2: new new details there about the depth and nature of

478
00:24:47,080 --> 00:24:51,040
Speaker 2: the Trump Epstein relationship, and I think gives some insight

479
00:24:51,160 --> 00:24:55,080
Speaker 2: into why Trump was very, very not excited about any

480
00:24:55,119 --> 00:24:56,439
Speaker 2: of this information coming to light.

481
00:24:57,359 --> 00:25:03,880
Speaker 5: And remember Trump, miss teen USA. In order he's this

482
00:25:03,960 --> 00:25:07,520
Speaker 5: is from his own testimony, in order for him to

483
00:25:07,560 --> 00:25:10,640
Speaker 5: be able to creep into the locker room and look

484
00:25:10,680 --> 00:25:15,239
Speaker 5: at the nude teens, like young teens like that.

485
00:25:15,480 --> 00:25:20,320
Speaker 6: He said this on he said this publicly publicly.

486
00:25:20,560 --> 00:25:25,600
Speaker 5: Yeah, so there's no question that aside from the gross

487
00:25:25,600 --> 00:25:29,240
Speaker 5: stuff he said like about his own daughter likes he's

488
00:25:29,240 --> 00:25:29,960
Speaker 5: a gross.

489
00:25:30,040 --> 00:25:32,280
Speaker 2: Put into this modeling industry by the way, which if

490
00:25:32,320 --> 00:25:35,199
Speaker 2: you know, you know know what he knew is a

491
00:25:35,240 --> 00:25:36,680
Speaker 2: real interesting choice.

492
00:25:37,000 --> 00:25:37,240
Speaker 6: Yeah.

493
00:25:37,240 --> 00:25:39,560
Speaker 5: And and there's that quote he gave to I guess

494
00:25:39,600 --> 00:25:41,600
Speaker 5: was Vanity Fair or somebody where he said, yeah, Jeffrey

495
00:25:41,600 --> 00:25:46,520
Speaker 5: Epstein likes him young, So like, yeah, all of this

496
00:25:46,600 --> 00:25:50,120
Speaker 5: is but yeah, probably not surprising to people that he's

497
00:25:50,160 --> 00:25:51,000
Speaker 5: as much of a creep.

498
00:25:52,320 --> 00:25:54,520
Speaker 2: I think it's surprising to some people in a sense

499
00:25:54,840 --> 00:25:57,439
Speaker 2: with the young girls apparently. And I mean, you know,

500
00:25:57,480 --> 00:26:01,679
Speaker 2: I mean this was always the glaring, like glaring blind

501
00:26:01,720 --> 00:26:07,320
Speaker 2: spot for MAGA when they were very focused on Epstein

502
00:26:07,480 --> 00:26:10,520
Speaker 2: and revealing you know, the connections with the elite circles,

503
00:26:10,520 --> 00:26:12,360
Speaker 2: and it's like, you guys do know that this man

504
00:26:12,480 --> 00:26:14,520
Speaker 2: was like Besti's with Donald Trump for a decade.

505
00:26:15,160 --> 00:26:17,440
Speaker 3: You don't think there's going to be anything there. You

506
00:26:17,480 --> 00:26:18,960
Speaker 3: don't think there's going to be anything there.

507
00:26:19,240 --> 00:26:22,040
Speaker 2: So in any case, of course, you know what true

508
00:26:22,080 --> 00:26:24,480
Speaker 2: what Trump would say, Oh go ahead, m.

509
00:26:24,440 --> 00:26:25,760
Speaker 4: Well, I was just to say it goes back to

510
00:26:25,800 --> 00:26:28,720
Speaker 4: the origins of MAGA, which is that Donald Trump was

511
00:26:28,760 --> 00:26:30,960
Speaker 4: standing up on the stage and saying, I alone can

512
00:26:31,000 --> 00:26:34,479
Speaker 4: fix it, for example, because I know the system. Uh,

513
00:26:34,680 --> 00:26:36,840
Speaker 4: the same thing with the Clintons.

514
00:26:36,400 --> 00:26:38,880
Speaker 6: Like fourteen USA, I can fix the problem.

515
00:26:39,440 --> 00:26:41,720
Speaker 4: It was his whole but that but that goes into

516
00:26:41,720 --> 00:26:44,080
Speaker 4: this just a runner point is that he pitched himself

517
00:26:44,119 --> 00:26:47,479
Speaker 4: to MAGA as somebody who was and created MAGA as

518
00:26:47,480 --> 00:26:50,680
Speaker 4: somebody who was the billionaire against the other billionaires. He

519
00:26:50,760 --> 00:26:52,920
Speaker 4: was part of the billionaire system, but he was going

520
00:26:52,960 --> 00:26:56,680
Speaker 4: to uh sort of disrupt it from the inside. And

521
00:26:57,320 --> 00:27:01,119
Speaker 4: it is it is you know important. Then every time

522
00:27:01,560 --> 00:27:04,760
Speaker 4: he does anything but disrupt the billionaire system from the inside,

523
00:27:04,800 --> 00:27:09,399
Speaker 4: anytime he protects the billionaire system, anytime he's sort of

524
00:27:10,240 --> 00:27:13,040
Speaker 4: revealed to be part of that system, I think it

525
00:27:13,119 --> 00:27:15,560
Speaker 4: does you guys talked about earlier this week, Eve and

526
00:27:15,600 --> 00:27:18,280
Speaker 4: Soger did a segment on Harry Enton looking at this

527
00:27:18,440 --> 00:27:23,320
Speaker 4: pole result showing twenty twenty four Trump supporters. Strong support

528
00:27:23,359 --> 00:27:26,000
Speaker 4: from Trump is down from sixty six percent to fifty percent,

529
00:27:26,520 --> 00:27:30,200
Speaker 4: not super surprising, but at the same time it does

530
00:27:30,320 --> 00:27:34,160
Speaker 4: I think lead you know, Erica Kirk and endorse JD.

531
00:27:34,280 --> 00:27:39,720
Speaker 4: Vance yesterday at Turning Points big conference. That genuinely is surprising,

532
00:27:39,760 --> 00:27:41,480
Speaker 4: not that she would endorse him, but that she would

533
00:27:41,560 --> 00:27:45,280
Speaker 4: endorse him this early. And so there's it's setting a

534
00:27:45,320 --> 00:27:48,119
Speaker 4: tone for what the Republican Party with the kind of

535
00:27:48,160 --> 00:27:50,919
Speaker 4: populist wing of the Republican Party MAGA, is supposed to

536
00:27:51,000 --> 00:27:54,520
Speaker 4: do going forward. If you're JD Vance, you should be

537
00:27:54,560 --> 00:27:57,080
Speaker 4: looking at those numbers sixty six percent to fifty percent

538
00:27:57,080 --> 00:27:59,240
Speaker 4: and thinking very hard about them because of things like this.

539
00:28:01,280 --> 00:28:04,200
Speaker 6: And now if you want not that JD.

540
00:28:04,680 --> 00:28:06,600
Speaker 4: Like obviously JD is connected to Teal and all of

541
00:28:06,640 --> 00:28:08,840
Speaker 4: those people. So I'm just saying, like, the politics of it,

542
00:28:08,880 --> 00:28:10,440
Speaker 4: I think are kind of interesting.

543
00:28:10,720 --> 00:28:12,640
Speaker 5: Now when it comes to Emily and I talked about

544
00:28:12,640 --> 00:28:14,520
Speaker 5: this a little bit on the show Wednesday when we

545
00:28:14,560 --> 00:28:17,720
Speaker 5: talked about the New York Times story, and I promised

546
00:28:18,920 --> 00:28:21,000
Speaker 5: or I pledged that we would try to have our

547
00:28:21,040 --> 00:28:23,280
Speaker 5: story out by Friday, and we did get it out.

548
00:28:25,080 --> 00:28:27,000
Speaker 5: The timing of the New York Times piece was helpful

549
00:28:27,040 --> 00:28:30,560
Speaker 5: to us, I think, because we had been reporting around

550
00:28:30,600 --> 00:28:33,400
Speaker 5: a lot of the same kind of period of time

551
00:28:33,440 --> 00:28:36,639
Speaker 5: that they said that they uncovered the and put to

552
00:28:36,680 --> 00:28:39,000
Speaker 5: bed the questions about like where he made his money

553
00:28:39,040 --> 00:28:41,920
Speaker 5: and whether or not he had intelligence connections, not making

554
00:28:41,960 --> 00:28:46,560
Speaker 5: any sense throughout the entire piece. Let me put this up,

555
00:28:47,840 --> 00:28:50,760
Speaker 5: I would highly recommend reading this piece. It's it's also

556
00:28:50,920 --> 00:28:56,160
Speaker 5: just fascinating as just a piece of kind of alternative

557
00:28:56,360 --> 00:29:03,760
Speaker 5: like espionage history, because it's fair to think of Epstein

558
00:29:03,800 --> 00:29:06,480
Speaker 5: almost as like the Forest Gump of the spy world,

559
00:29:06,560 --> 00:29:11,640
Speaker 5: like when it comes to Iran Contra. He's just everywhere.

560
00:29:12,800 --> 00:29:16,720
Speaker 5: And I highlighted this one paragraph from the New York

561
00:29:16,720 --> 00:29:20,520
Speaker 5: Times piece here where they write Jeffrey Epstein had been

562
00:29:20,560 --> 00:29:25,040
Speaker 5: spending extravagantly, and despite his lofty compensation at bear Stearns

563
00:29:25,040 --> 00:29:28,040
Speaker 5: and his work for Douglas Lease, he found himself strapped,

564
00:29:28,080 --> 00:29:31,040
Speaker 5: even occasionally bouncing rent checks. Back in New York, he

565
00:29:31,160 --> 00:29:34,560
Speaker 5: joined forces with John Stanley Pottinger, a lawyer who had

566
00:29:34,600 --> 00:29:38,360
Speaker 5: recently left a senior post in the Justice Department. Epstein, Pottinger,

567
00:29:38,400 --> 00:29:42,160
Speaker 5: and Pottinger's brother rented a penthouse office in the Hotel

568
00:29:42,520 --> 00:29:46,600
Speaker 5: San Mauritz on Central Park South. The broker Joanna Cutler

569
00:29:46,800 --> 00:29:49,560
Speaker 5: told us that Epstein initially stiffed her on the commission.

570
00:29:50,160 --> 00:29:52,360
Speaker 5: And so this is an example of some of the

571
00:29:52,400 --> 00:29:56,160
Speaker 5: really impressive kind of shoe leather reporting that The Times

572
00:29:56,160 --> 00:29:58,880
Speaker 5: did for this piece to track down all these details,

573
00:29:58,880 --> 00:30:02,600
Speaker 5: Like they got Johanna Cutler on the phone and and

574
00:30:02,760 --> 00:30:06,480
Speaker 5: got her to tell them, you know, that he's stiffed

575
00:30:06,480 --> 00:30:09,560
Speaker 5: her on the commission and confirmed this this Uh, this

576
00:30:09,720 --> 00:30:13,720
Speaker 5: arrangement in the penthouse. But as we argue and the piece,

577
00:30:13,760 --> 00:30:16,040
Speaker 5: if they had looked in the other direction, looked upwards,

578
00:30:16,680 --> 00:30:20,320
Speaker 5: they would have in this In this paragraph itself found

579
00:30:20,880 --> 00:30:25,680
Speaker 5: two details worth exploring. One that Douglas Lease is himself

580
00:30:25,880 --> 00:30:30,760
Speaker 5: an arms trafficker, and we talk about his his connection

581
00:30:30,960 --> 00:30:34,720
Speaker 5: to the Iran Contra scandal, which was it's called Iran Contra,

582
00:30:35,560 --> 00:30:37,840
Speaker 5: but right in the middle of it is Israel because

583
00:30:38,520 --> 00:30:42,560
Speaker 5: the United States was barred from shipping weapons to Iran.

584
00:30:42,920 --> 00:30:47,280
Speaker 5: And so the arrangement that we created was that Israel

585
00:30:47,280 --> 00:30:49,520
Speaker 5: would send weapons to Iran, which is comical if you

586
00:30:49,560 --> 00:30:53,240
Speaker 5: think about it, since they're but so Israel would ship

587
00:30:53,280 --> 00:30:58,160
Speaker 5: weapons to Iran. Uh Iran would then pay, would would

588
00:30:58,320 --> 00:31:02,200
Speaker 5: put money to the slush fund that Simon Perez uh

589
00:31:02,360 --> 00:31:06,680
Speaker 5: Barack and on Koshogi were organizing and then.

590
00:31:07,600 --> 00:31:15,000
Speaker 4: By the way, Trump by yacht, yes, this is Koshogi's uh,

591
00:31:15,040 --> 00:31:17,000
Speaker 4: this is Jamal Kashogi's uncle in fact.

592
00:31:18,400 --> 00:31:23,640
Speaker 5: And then the US would then backfill the weapons to Israel,

593
00:31:23,800 --> 00:31:25,760
Speaker 5: so so we weren't giving weapons to Ron, We're giving

594
00:31:25,760 --> 00:31:26,360
Speaker 5: them to Israel.

595
00:31:26,800 --> 00:31:28,880
Speaker 6: We would then use and then.

596
00:31:30,240 --> 00:31:34,880
Speaker 5: HESBLA then would release some hostages, American hostages that were

597
00:31:34,880 --> 00:31:38,280
Speaker 5: being held, and we would use the money to illegally

598
00:31:38,320 --> 00:31:41,280
Speaker 5: finance the conscious because Congress had said you can't finance

599
00:31:42,080 --> 00:31:46,040
Speaker 5: this this this uh, you know, this insurgency against the

600
00:31:46,120 --> 00:31:49,200
Speaker 5: Nicaragua leftist government, and so the Reagan administration used the

601
00:31:49,200 --> 00:31:53,720
Speaker 5: proceeds to put them there. Now, Stanley Pottinger was a

602
00:31:53,800 --> 00:31:57,760
Speaker 5: lawyer who was like heavily involved in the Iran Contra scandal,

603
00:31:57,800 --> 00:32:01,560
Speaker 5: helping to set up the flows of money, and so

604
00:32:01,600 --> 00:32:06,000
Speaker 5: they have so The Times found Epstein literally in business

605
00:32:06,880 --> 00:32:11,480
Speaker 5: with an Iran contra lawyer at the time that the

606
00:32:11,480 --> 00:32:14,440
Speaker 5: thing is unfolding, and Douglas Lease, who was also involved

607
00:32:14,480 --> 00:32:19,480
Speaker 5: with it, and he was and he was associates with Koshogi.

608
00:32:19,480 --> 00:32:21,080
Speaker 6: But go ahead, well, I was.

609
00:32:21,000 --> 00:32:24,000
Speaker 4: Just gonna say so Trump's NSA starting in twenty nineteen

610
00:32:24,160 --> 00:32:28,960
Speaker 4: was Matthew Pottinger, who is the son of John Stanley Pottinger,

611
00:32:29,040 --> 00:32:32,720
Speaker 4: which is when Roe Connor now describes the Epstein class.

612
00:32:33,000 --> 00:32:35,959
Speaker 4: Here's an example of the Epstein class. Doesn't mean anyone's

613
00:32:35,960 --> 00:32:39,880
Speaker 4: necessarily implicated in this massive blackmail, right, It just means

614
00:32:40,280 --> 00:32:43,400
Speaker 4: that it's all being pulled from the same small pool

615
00:32:43,520 --> 00:32:46,960
Speaker 4: of people who are part of this like tightly knit network.

616
00:32:47,440 --> 00:32:51,440
Speaker 5: But Pottinger, in his defense, actually he died recently, but

617
00:32:51,560 --> 00:32:54,160
Speaker 5: he represented a bunch of Epstein victims.

618
00:32:55,360 --> 00:32:58,120
Speaker 6: I think he whatever his tea.

619
00:33:00,680 --> 00:33:03,320
Speaker 4: Although some people may be very suspicious of that because

620
00:33:03,360 --> 00:33:06,200
Speaker 4: it could look like controlled opposition.

621
00:33:06,440 --> 00:33:10,960
Speaker 5: Might be He's an interesting guy. He was almost ousted

622
00:33:11,000 --> 00:33:14,240
Speaker 5: from the Nixon administration as part of the Saturday Night massacre,

623
00:33:15,480 --> 00:33:18,600
Speaker 5: and he was like packing up his stuff, and then

624
00:33:18,760 --> 00:33:21,560
Speaker 5: at the last minute the massacre was kind of stopped,

625
00:33:22,600 --> 00:33:24,479
Speaker 5: so he kept his job. He also in this New

626
00:33:24,560 --> 00:33:27,240
Speaker 5: York Times oh Bit, it says that he figured out

627
00:33:27,280 --> 00:33:31,840
Speaker 5: who Deep Throat was as part of this grand jury process.

628
00:33:32,960 --> 00:33:34,200
Speaker 6: He kept that secret.

629
00:33:34,520 --> 00:33:37,840
Speaker 5: He then he then made a fortune in real estate

630
00:33:37,880 --> 00:33:40,320
Speaker 5: in the eighties, and real estate. I'm not saying that

631
00:33:40,360 --> 00:33:44,760
Speaker 5: he used around contra funds, but real estate was a

632
00:33:44,800 --> 00:33:47,760
Speaker 5: major way that Iran Contra funds were laundered. Then he

633
00:33:47,800 --> 00:33:53,920
Speaker 5: became a novelist, best selling novelist, and he's according to

634
00:33:53,920 --> 00:33:57,719
Speaker 5: his time Spy thrill it hasn't been published yet. And

635
00:33:57,760 --> 00:34:00,480
Speaker 5: then he and then he represented the Epstein victim. So like,

636
00:34:01,080 --> 00:34:04,600
Speaker 5: what a an arc. Yeah, that that guy's life took.

637
00:34:05,360 --> 00:34:09,640
Speaker 5: But then so you have all of this, the Epstein,

638
00:34:10,200 --> 00:34:13,000
Speaker 5: Epstein being close with all of these different Iran Contra figures.

639
00:34:13,320 --> 00:34:17,200
Speaker 5: After the lid gets blown on Iran Contra, the CIA's airlines,

640
00:34:17,280 --> 00:34:21,520
Speaker 5: Southern air Transport, that was involved in this weapons shipments

641
00:34:21,520 --> 00:34:22,560
Speaker 5: and drug running.

642
00:34:23,080 --> 00:34:25,560
Speaker 6: Has to lay low for a while. And what we

643
00:34:25,600 --> 00:34:26,120
Speaker 6: report here.

644
00:34:26,880 --> 00:34:29,000
Speaker 5: Whitney Webb has written about this as well, but we

645
00:34:29,080 --> 00:34:31,399
Speaker 5: have some new details from a journalist in Ohio who

646
00:34:31,400 --> 00:34:36,040
Speaker 5: covered this at the time. Jeffrey Epstein brought Southern air Transport,

647
00:34:36,120 --> 00:34:40,480
Speaker 5: the CIA's front company airline, to Columbus, Ohio. They ship

648
00:34:40,800 --> 00:34:44,680
Speaker 5: moved the headquarters from Miami to Columbus, Ohio to start

649
00:34:44,719 --> 00:34:47,320
Speaker 5: trafficking lingerie and fast fashion.

650
00:34:47,080 --> 00:34:48,200
Speaker 4: For less wet trafficking.

651
00:34:50,160 --> 00:34:53,920
Speaker 5: So and as one friend responded last night, it's like, well,

652
00:34:53,960 --> 00:34:56,640
Speaker 5: this is something decent that Epstein did for the world.

653
00:34:56,719 --> 00:35:00,400
Speaker 5: So instead of trafficking drugs and like guns for the CIA,

654
00:35:00,600 --> 00:35:03,759
Speaker 5: these planes for a couple of years were moving you know, you.

655
00:35:03,719 --> 00:35:05,719
Speaker 3: Know, crappyumbshell, push up brass.

656
00:35:05,680 --> 00:35:08,920
Speaker 6: Right Victoria's secret.

657
00:35:09,640 --> 00:35:12,480
Speaker 5: So it's like, okay, maybe there's no Intel connections here

658
00:35:12,480 --> 00:35:15,319
Speaker 5: at all, but how on earth did this guy end

659
00:35:15,400 --> 00:35:19,600
Speaker 5: up bringing the CIA's airplanes to les Wexner, Like, Times

660
00:35:19,640 --> 00:35:21,320
Speaker 5: is going to have to do a little bit better

661
00:35:22,680 --> 00:35:26,000
Speaker 5: than just hand waving it away with With these kinds

662
00:35:26,040 --> 00:35:28,840
Speaker 5: of details out there, it's kind of kind of like

663
00:35:29,440 --> 00:35:33,040
Speaker 5: kind of suspicious activity to be involved in.

664
00:35:33,440 --> 00:35:36,759
Speaker 2: It was very interesting to me how much The New

665
00:35:36,840 --> 00:35:40,759
Speaker 2: York Times wanted to say, like, oh, case closed, solve this,

666
00:35:40,800 --> 00:35:44,920
Speaker 2: figured it out, No Intel, cut ties, no blackmail, no nothing,

667
00:35:45,000 --> 00:35:47,080
Speaker 2: nothing to see here, and then did a bunch of

668
00:35:47,120 --> 00:35:50,160
Speaker 2: reporting that does not at all rule out those possibilities,

669
00:35:50,200 --> 00:35:52,359
Speaker 2: and in fact, it raises even more questions about them,

670
00:35:52,360 --> 00:35:53,719
Speaker 2: as your reporting points out.

671
00:35:53,880 --> 00:35:56,279
Speaker 5: And we also make the point in the preamble of

672
00:35:56,280 --> 00:35:58,920
Speaker 5: the piece that in order to acquit him of all

673
00:35:58,960 --> 00:36:01,440
Speaker 5: of these like links to Intel and to say that

674
00:36:01,480 --> 00:36:04,239
Speaker 5: there was nothing interesting going on here, what they had

675
00:36:04,280 --> 00:36:07,840
Speaker 5: to do was craft this anti semitic.

676
00:36:07,600 --> 00:36:08,640
Speaker 6: Caricature of the guy.

677
00:36:09,440 --> 00:36:14,760
Speaker 5: Hm hmmm, just like in a genuinely offensive way, because

678
00:36:15,040 --> 00:36:17,040
Speaker 5: all they're left with is like, oh, he's just a

679
00:36:17,080 --> 00:36:21,200
Speaker 5: giant con artist. And you go through it and you're like,

680
00:36:21,719 --> 00:36:25,600
Speaker 5: this is actually like what are you doing here? But

681
00:36:25,640 --> 00:36:28,080
Speaker 5: it's almost like what's the Barry gold It's like a

682
00:36:28,160 --> 00:36:30,799
Speaker 5: version of the back Barry Goldwater quote you would say,

683
00:36:30,920 --> 00:36:34,480
Speaker 5: anti Semitism in defense of the liberty of Israel is

684
00:36:34,520 --> 00:36:34,919
Speaker 5: no viruce.

685
00:36:36,680 --> 00:36:38,960
Speaker 3: A lot of people apparently view it that way.

686
00:36:39,200 --> 00:36:44,239
Speaker 5: Yeah, yeah, just check that piece out.

687
00:36:44,920 --> 00:36:50,520
Speaker 4: Yeah, read the piece, because it just completely if this

688
00:36:50,640 --> 00:36:53,880
Speaker 4: is all just a coincidence, it's the greatest coincidence of

689
00:36:53,920 --> 00:36:54,279
Speaker 4: all time.

690
00:36:55,440 --> 00:36:56,160
Speaker 3: Yeah.

691
00:36:56,239 --> 00:36:58,480
Speaker 2: Well, and to I don't know, also to make the

692
00:36:58,520 --> 00:37:00,680
Speaker 2: claims that the Times did of like oh there's no

693
00:37:00,719 --> 00:37:03,239
Speaker 2: Intel connection, and to not even you know, not even

694
00:37:03,239 --> 00:37:05,600
Speaker 2: reference the reporting that you and others have done, I

695
00:37:05,600 --> 00:37:08,959
Speaker 2: think is also just very you know, very lazy, also

696
00:37:09,040 --> 00:37:11,280
Speaker 2: very condescending, you know, like you don't even exist.

697
00:37:11,440 --> 00:37:11,600
Speaker 10: Right.

698
00:37:12,120 --> 00:37:14,840
Speaker 5: We even got a we have a Times quote for

699
00:37:14,920 --> 00:37:18,720
Speaker 5: the piece because I put all this to them. They said, quote,

700
00:37:18,719 --> 00:37:20,880
Speaker 5: we report on facts that we are able to confirm,

701
00:37:20,920 --> 00:37:21,680
Speaker 5: not supposition.

702
00:37:22,320 --> 00:37:26,200
Speaker 4: Well, what a bunch of these these are facts.

703
00:37:26,480 --> 00:37:28,600
Speaker 6: Like these are these are facts. You're welcome to report

704
00:37:28,640 --> 00:37:29,120
Speaker 6: on them.

705
00:37:29,280 --> 00:37:32,320
Speaker 5: If you can't, I don't know what to tell you.

706
00:37:35,520 --> 00:37:38,640
Speaker 2: All right, guys, super excited to have this morning with

707
00:37:38,760 --> 00:37:41,480
Speaker 2: us Corey Archibald and Casey Kennedy, who are the co

708
00:37:41,560 --> 00:37:45,520
Speaker 2: founders of track Apak who recently went public stop being

709
00:37:45,560 --> 00:37:47,080
Speaker 2: anonymous on our show, which we.

710
00:37:47,000 --> 00:37:49,040
Speaker 3: Were very privileged to have you guys there. Great to

711
00:37:49,080 --> 00:37:51,080
Speaker 3: see you both, Thank good morning.

712
00:37:51,120 --> 00:37:52,400
Speaker 11: Thanks for having us.

713
00:37:52,680 --> 00:37:55,600
Speaker 2: Yeah, So I wanted to talk to you guys again

714
00:37:55,719 --> 00:37:58,040
Speaker 2: because I feel like the question of a PAC funding

715
00:37:58,160 --> 00:38:00,840
Speaker 2: and overall position on Israel it's just become such a

716
00:38:00,880 --> 00:38:03,960
Speaker 2: central issue, in particular in Democratic primaries, although showing up

717
00:38:03,960 --> 00:38:06,879
Speaker 2: in some Republican primaries as well. So I wanted to

718
00:38:06,880 --> 00:38:08,680
Speaker 2: touch base with you guys about some of the races

719
00:38:08,719 --> 00:38:11,719
Speaker 2: that you see as being really significant, just in terms

720
00:38:11,760 --> 00:38:14,000
Speaker 2: of that funding question being a dividing line. But before

721
00:38:14,040 --> 00:38:16,239
Speaker 2: I jumped into that, I wanted to just ask you, so,

722
00:38:16,280 --> 00:38:19,160
Speaker 2: how how have things been going? How is it now,

723
00:38:19,360 --> 00:38:22,400
Speaker 2: you know, coming out and being public faces. I know

724
00:38:22,440 --> 00:38:25,160
Speaker 2: you guys have gotten a lot of scrutiny online. Casey,

725
00:38:25,239 --> 00:38:28,360
Speaker 2: I know you have been punished in terms of your career.

726
00:38:28,360 --> 00:38:30,759
Speaker 2: You lost your job for the work that you're doing,

727
00:38:30,800 --> 00:38:33,719
Speaker 2: so Casey, maybe start with you on how things are going.

728
00:38:35,080 --> 00:38:38,840
Speaker 10: Yeah, it's definitely been a tumultuous month, to say the least.

729
00:38:39,960 --> 00:38:42,840
Speaker 10: Shortly after we did our initial interview with you, folks,

730
00:38:43,280 --> 00:38:46,040
Speaker 10: I did lose my job. That followed a dosing and

731
00:38:46,080 --> 00:38:49,000
Speaker 10: harassment campaign from accounts like stop Anti Semitism and that

732
00:38:49,040 --> 00:38:55,279
Speaker 10: whole network of Wow Israel troll accounts. Basically, they my

733
00:38:55,520 --> 00:38:58,640
Speaker 10: employer just didn't want to deal with that, so I'm

734
00:38:58,680 --> 00:39:02,000
Speaker 10: no longer with them. But on the bright side, the

735
00:39:02,000 --> 00:39:04,800
Speaker 10: silver lining is that's really just unleashed me and given

736
00:39:04,840 --> 00:39:07,000
Speaker 10: me all the time in the world to focus now

737
00:39:07,040 --> 00:39:09,960
Speaker 10: on this. What's up until now been a volunteer time

738
00:39:10,000 --> 00:39:12,680
Speaker 10: passion project for me. Now I can really focus on

739
00:39:12,719 --> 00:39:15,359
Speaker 10: it full time and work on a lot of things

740
00:39:15,360 --> 00:39:18,440
Speaker 10: that I've been pushing to the back burner, and I'm

741
00:39:18,440 --> 00:39:21,399
Speaker 10: excited for the opportunity to work on it even more.

742
00:39:21,880 --> 00:39:24,240
Speaker 2: Did you expect when you came forward, did you expect

743
00:39:24,280 --> 00:39:26,000
Speaker 2: it would be a problem for your employer or did

744
00:39:26,000 --> 00:39:27,279
Speaker 2: that kind of come out of the blue for you.

745
00:39:28,800 --> 00:39:32,719
Speaker 10: I was definitely unsure I was operating the account anonymously

746
00:39:32,840 --> 00:39:36,760
Speaker 10: for that exact reason. I just didn't want to risk it. Obviously,

747
00:39:36,800 --> 00:39:39,319
Speaker 10: wasn't informing them of like what I was doing during

748
00:39:39,320 --> 00:39:42,560
Speaker 10: my free time, and I thought that I might be

749
00:39:42,560 --> 00:39:46,360
Speaker 10: able to explain where I was coming from and maybe,

750
00:39:47,719 --> 00:39:49,759
Speaker 10: you know, work out a way to keep my job.

751
00:39:49,840 --> 00:39:52,640
Speaker 11: But it all just ups pretty quickly.

752
00:39:52,400 --> 00:39:53,799
Speaker 3: And it's crazy to me.

753
00:39:53,840 --> 00:39:56,720
Speaker 2: I mean, all you do is put for publicly available information,

754
00:39:56,880 --> 00:39:58,560
Speaker 2: compile publicly available information.

755
00:39:58,920 --> 00:39:59,280
Speaker 11: Yeah.

756
00:39:59,360 --> 00:40:02,680
Speaker 10: Yeah, it's pretty awful that people can just make smears

757
00:40:02,760 --> 00:40:05,799
Speaker 10: and just really baseless claims and have that up in

758
00:40:05,880 --> 00:40:06,840
Speaker 10: somebody's livelihood.

759
00:40:06,960 --> 00:40:08,359
Speaker 11: So I know I'm not the only one.

760
00:40:08,520 --> 00:40:11,880
Speaker 10: I'll be okay. I have other means to make my living.

761
00:40:12,680 --> 00:40:14,799
Speaker 10: A lot of other people don't. And I think that's

762
00:40:14,880 --> 00:40:16,760
Speaker 10: a really important point that we have to keep pushing

763
00:40:16,760 --> 00:40:19,040
Speaker 10: in this narrative. You're seeing a lot of shift right

764
00:40:19,080 --> 00:40:22,160
Speaker 10: now happening and happening in the political spectrum. But it's

765
00:40:22,200 --> 00:40:24,480
Speaker 10: not only in the political spectrum that we need to

766
00:40:24,920 --> 00:40:29,480
Speaker 10: have this attention focused. It's regular people who are speaking

767
00:40:29,560 --> 00:40:32,760
Speaker 10: up who are also being executed and targeted.

768
00:40:33,480 --> 00:40:34,680
Speaker 3: Yeah, Corey, how about you?

769
00:40:36,560 --> 00:40:37,359
Speaker 4: Oh got it?

770
00:40:38,480 --> 00:40:42,440
Speaker 12: No, As Casey said, it has definitely been a very

771
00:40:42,440 --> 00:40:45,520
Speaker 12: tumultuous month. I have not had the same kind of

772
00:40:45,960 --> 00:40:48,080
Speaker 12: impact in scrutiny that he has, although I've certainly had

773
00:40:48,080 --> 00:40:52,400
Speaker 12: people picking through my very online life that I have

774
00:40:52,600 --> 00:40:56,799
Speaker 12: lived for decades, and you know, congratulations, you uncovered things

775
00:40:56,800 --> 00:40:59,880
Speaker 12: that I post about constantly. Well done you, I guess,

776
00:41:00,600 --> 00:41:02,800
Speaker 12: But I guess people are supposed to. They want me

777
00:41:02,840 --> 00:41:04,319
Speaker 12: to be ashamed of who I am, and I'm not.

778
00:41:05,000 --> 00:41:08,239
Speaker 12: I'm proud of the work that I've done and what

779
00:41:08,280 --> 00:41:11,600
Speaker 12: we've been able to achieve through this project, And if anything,

780
00:41:12,120 --> 00:41:15,399
Speaker 12: those kinds of attacks and scrutinies just make us more

781
00:41:15,440 --> 00:41:17,600
Speaker 12: determined to keep doing what we're doing.

782
00:41:18,960 --> 00:41:20,920
Speaker 2: All right, So let's turn to the topic at hand.

783
00:41:21,480 --> 00:41:23,680
Speaker 2: There's a ton of races that we could have picked

784
00:41:23,840 --> 00:41:26,680
Speaker 2: to focus on. But Corey, why don't you go ahead

785
00:41:26,680 --> 00:41:28,200
Speaker 2: and give us a little bit of a rundown of

786
00:41:28,239 --> 00:41:32,880
Speaker 2: a few of the democratic primaries that you're really watching

787
00:41:33,400 --> 00:41:36,399
Speaker 2: where the question of APAC funding has taken a sort

788
00:41:36,400 --> 00:41:37,400
Speaker 2: of central spotlight.

789
00:41:38,640 --> 00:41:41,960
Speaker 3: Yeah, of course, Well, we are, as many people are.

790
00:41:42,040 --> 00:41:46,719
Speaker 12: We are closely following and engaging with both races for

791
00:41:47,080 --> 00:41:50,240
Speaker 12: Corey Bush and her rematch against Wesley Bell, and Abdillel

792
00:41:50,320 --> 00:41:54,640
Speaker 12: said both of those races are important to us not

793
00:41:54,680 --> 00:41:57,400
Speaker 12: only because of who the candidates are, especially because of

794
00:41:57,400 --> 00:41:59,960
Speaker 12: who the candidates are and because of what they represent

795
00:42:00,040 --> 00:42:03,520
Speaker 12: and they are objectively the best choice in in those primaries,

796
00:42:03,560 --> 00:42:07,480
Speaker 12: but also I got a little personal connection to both

797
00:42:08,000 --> 00:42:10,360
Speaker 12: races in the sense that I worked very closely with

798
00:42:10,400 --> 00:42:13,520
Speaker 12: Corey Bush in her first two months for Congress, and

799
00:42:13,960 --> 00:42:15,840
Speaker 12: I took it very personally, the way that she was

800
00:42:15,880 --> 00:42:18,719
Speaker 12: attacked and smeared by a PAK. It was part of

801
00:42:18,760 --> 00:42:21,879
Speaker 12: the reason for the the inspiration for founding this pack

802
00:42:22,000 --> 00:42:24,800
Speaker 12: and for joining up with Casey and working on this project.

803
00:42:25,840 --> 00:42:29,120
Speaker 12: And then of course abdlals he's running against Hailey Stevens,

804
00:42:29,400 --> 00:42:33,520
Speaker 12: who is another another villain. APAG dumped truckloads of cash

805
00:42:33,560 --> 00:42:36,760
Speaker 12: into the race against Andy Levin to get her into office.

806
00:42:36,760 --> 00:42:38,720
Speaker 12: And so that's another one that I take up a personally,

807
00:42:39,520 --> 00:42:41,879
Speaker 12: and so for that reason, you know, those are those

808
00:42:41,880 --> 00:42:45,040
Speaker 12: are two races that are I think have the opportunity

809
00:42:45,160 --> 00:42:48,600
Speaker 12: once those two are are in, once Corey is restored

810
00:42:48,600 --> 00:42:51,759
Speaker 12: to Congress and once Abdullah's in the Senate, I think

811
00:42:51,880 --> 00:42:54,719
Speaker 12: they will have a significant impact on the direction of

812
00:42:54,719 --> 00:42:55,719
Speaker 12: democratic policy.

813
00:42:56,360 --> 00:42:58,400
Speaker 3: And so those are very important races to us.

814
00:42:58,440 --> 00:43:01,360
Speaker 12: But you know, they're also a number of other races

815
00:43:01,440 --> 00:43:03,360
Speaker 12: that we have we've supported.

816
00:43:03,400 --> 00:43:06,680
Speaker 2: And sorry, just really quickly on Abdullah SiO, because there's

817
00:43:06,719 --> 00:43:09,920
Speaker 2: another significant contender in that race, Mallory McMorrow, and actually

818
00:43:09,920 --> 00:43:11,040
Speaker 2: haven't followed closely.

819
00:43:11,840 --> 00:43:12,359
Speaker 3: What is she?

820
00:43:12,600 --> 00:43:14,920
Speaker 2: What is she said or has she said anything with

821
00:43:14,960 --> 00:43:17,600
Speaker 2: regard to to APAC funding. What's your sense there?

822
00:43:19,880 --> 00:43:21,680
Speaker 3: In casey, I'll let you take the stress.

823
00:43:21,800 --> 00:43:25,879
Speaker 10: So Malarie McMorrow has been an interesting kind of case

824
00:43:25,920 --> 00:43:28,520
Speaker 10: study for how the needle has been moving on this

825
00:43:28,600 --> 00:43:30,600
Speaker 10: topic within the Democratic Party.

826
00:43:31,200 --> 00:43:32,760
Speaker 6: I'll pull up my story while you're talking.

827
00:43:32,920 --> 00:43:35,120
Speaker 10: Yeah, exactly, that you had a great piece on that.

828
00:43:35,880 --> 00:43:40,040
Speaker 10: She actually some supporters had kind of leaked to the

829
00:43:40,040 --> 00:43:42,080
Speaker 10: press that they had read a position paper that she

830
00:43:42,120 --> 00:43:45,760
Speaker 10: had submitted to a pro Israel organization, which we're pretty

831
00:43:45,760 --> 00:43:48,120
Speaker 10: sure based on reporting it all.

832
00:43:48,120 --> 00:43:51,480
Speaker 11: Now, just leak it to the press and they gave

833
00:43:51,520 --> 00:43:54,400
Speaker 11: it to Graham dug it up. Is that how it

834
00:43:54,400 --> 00:43:58,000
Speaker 11: originally came to Okay, okay, Ryan at.

835
00:43:58,960 --> 00:44:06,440
Speaker 13: The Press Michigan Sites and Ryan Graham broke that Malary

836
00:44:06,680 --> 00:44:10,120
Speaker 13: McMorrow had submitted a position paper to a pro Israel group,

837
00:44:10,160 --> 00:44:12,960
Speaker 13: which was an APAC confirmed at that time, right out the.

838
00:44:12,960 --> 00:44:17,160
Speaker 5: Gate, it wasn't a so her her supporter said it

839
00:44:17,200 --> 00:44:21,120
Speaker 5: was a pack. I suspect that it was actually d

840
00:44:21,320 --> 00:44:23,759
Speaker 5: m f I Democratic Majority for Israel, and that the

841
00:44:23,800 --> 00:44:27,360
Speaker 5: supporter was using a pack as a shorthand because DMFI

842
00:44:28,120 --> 00:44:30,399
Speaker 5: is a shorthand, which is what we do.

843
00:44:31,120 --> 00:44:32,920
Speaker 12: I mean, we we use a pack as kind of

844
00:44:33,360 --> 00:44:35,840
Speaker 12: a shorthand to refer to the whole lobby.

845
00:44:35,840 --> 00:44:37,120
Speaker 3: But anyway, go ahead, I'm sorry.

846
00:44:37,760 --> 00:44:40,360
Speaker 5: Yeah, yeah, so they saw an a position paper, but

847
00:44:40,440 --> 00:44:41,399
Speaker 5: I think it was d m FI.

848
00:44:42,040 --> 00:44:46,200
Speaker 11: Yeah, okay, fair enough. Apac ally d m f I.

849
00:44:47,480 --> 00:44:50,400
Speaker 10: She had submitted a position paper, and obviously that what

850
00:44:50,520 --> 00:44:53,000
Speaker 10: that position paper hasn't been made public, but we can

851
00:44:53,360 --> 00:44:56,040
Speaker 10: infer what was included in there based on the comments.

852
00:44:55,640 --> 00:44:57,080
Speaker 6: Of those supporters outstanding.

853
00:44:57,239 --> 00:44:59,520
Speaker 10: Yeah, yeah, they really gave her a lot of praise

854
00:44:59,560 --> 00:45:02,120
Speaker 10: for her strong pro Israel position. And we also found

855
00:45:02,160 --> 00:45:05,000
Speaker 10: out that she had taken a trip to Israel, which

856
00:45:05,040 --> 00:45:09,279
Speaker 10: we believe was with the American Israel Education Foundation is

857
00:45:09,360 --> 00:45:12,080
Speaker 10: APAX nonprofit arm.

858
00:45:12,239 --> 00:45:13,400
Speaker 11: So that's definitely concerning.

859
00:45:13,520 --> 00:45:14,240
Speaker 4: She has.

860
00:45:15,840 --> 00:45:19,000
Speaker 10: Said that she agrees it could meet the definition of genocide,

861
00:45:19,000 --> 00:45:21,839
Speaker 10: but it's not the forthright conviction that we're looking for

862
00:45:21,880 --> 00:45:24,000
Speaker 10: in a candidate in this moment who we're really looking

863
00:45:24,080 --> 00:45:26,839
Speaker 10: down the moral clarity to take a bold stand and

864
00:45:26,920 --> 00:45:30,800
Speaker 10: not be kind of hedging their bets of where special

865
00:45:30,800 --> 00:45:33,040
Speaker 10: interests might come after them for speaking the truth.

866
00:45:34,320 --> 00:45:36,320
Speaker 2: Yeah, that kind of feels like her vibe on a

867
00:45:36,440 --> 00:45:39,279
Speaker 2: range of issues on healthcare as well, she's tried to

868
00:45:39,560 --> 00:45:41,400
Speaker 2: kind of you know, yeah signal, Yeah, I love that

869
00:45:41,560 --> 00:45:43,759
Speaker 2: universal well here, but here's why we can't do it.

870
00:45:44,000 --> 00:45:45,799
Speaker 10: Yeah, it feels like she's kind of threading a needle.

871
00:45:45,880 --> 00:45:49,000
Speaker 10: You can see she's sort of pinned between the progressive

872
00:45:49,080 --> 00:45:52,799
Speaker 10: lane that abdulah al Sayed is filling and the establishment

873
00:45:52,880 --> 00:45:55,640
Speaker 10: lane that Hailey Stevens is filling with the backing of APAX.

874
00:45:55,800 --> 00:45:58,920
Speaker 10: So that's another one where the split is going to

875
00:45:58,920 --> 00:46:00,120
Speaker 10: be interesting to see.

876
00:46:00,640 --> 00:46:02,080
Speaker 11: I'm not sure right now how that's going.

877
00:46:02,080 --> 00:46:02,480
Speaker 6: To play out.

878
00:46:02,520 --> 00:46:05,520
Speaker 11: The polls have them pretty evenly matched.

879
00:46:05,320 --> 00:46:07,200
Speaker 3: All three of them. Yeah, pretty close.

880
00:46:07,480 --> 00:46:10,279
Speaker 10: Yeah, Yeah, there would be some interesting plays for sure

881
00:46:10,280 --> 00:46:11,319
Speaker 10: in that race.

882
00:46:11,520 --> 00:46:14,160
Speaker 2: Ryan, maybe you should set up for us the Nita

883
00:46:14,239 --> 00:46:17,920
Speaker 2: Alam race because I know that's a versus Valerie Fushi,

884
00:46:18,000 --> 00:46:19,960
Speaker 2: which is another one that I know you've done a

885
00:46:19,960 --> 00:46:21,960
Speaker 2: lot of reporting on, and then we can get Corey

886
00:46:21,960 --> 00:46:23,800
Speaker 2: and Casey to weigh in on that one as well.

887
00:46:23,960 --> 00:46:26,279
Speaker 5: Yeah, this race, this is a rematch of a race

888
00:46:26,320 --> 00:46:33,000
Speaker 5: from twenty twenty two. When Nita Alam announced her candidacy.

889
00:46:33,760 --> 00:46:37,400
Speaker 5: She was a county commissioner from Durham and she was

890
00:46:37,480 --> 00:46:41,600
Speaker 5: close if you remember, she was close friends with a

891
00:46:41,680 --> 00:46:44,799
Speaker 5: group of Muslim men who were a victim of a

892
00:46:44,840 --> 00:46:48,560
Speaker 5: hate crime. If it was this like horrific like national

893
00:46:48,640 --> 00:46:53,880
Speaker 5: story where several men were killed in Durham, and it

894
00:46:54,320 --> 00:46:56,839
Speaker 5: became like huge news, definitely in North Carolina, but even

895
00:46:56,840 --> 00:46:59,800
Speaker 5: around the country and around the world, and that inspired

896
00:46:59,840 --> 00:47:02,879
Speaker 5: her to get into to local office. So she ran

897
00:47:02,880 --> 00:47:07,959
Speaker 5: became accounting mission, then she ran for the House seat,

898
00:47:08,560 --> 00:47:13,280
Speaker 5: and then Value Fouchet came in with enormous amounts of backing,

899
00:47:13,320 --> 00:47:16,719
Speaker 5: not just from APAC but also from Crypto, and she

900
00:47:16,880 --> 00:47:20,920
Speaker 5: ended up only Nita Alam ended up only losing by

901
00:47:21,280 --> 00:47:23,480
Speaker 5: four points or something you guys might remember betterly four

902
00:47:23,520 --> 00:47:27,520
Speaker 5: thousand votes or very very very close race, even though

903
00:47:27,840 --> 00:47:32,640
Speaker 5: she was outspent absolutely massively. Now North Carolina has redrawn

904
00:47:32,680 --> 00:47:38,280
Speaker 5: the district and it's actually more favorable now to an alum.

905
00:47:38,360 --> 00:47:40,760
Speaker 5: If she would if this would have been the old district,

906
00:47:41,280 --> 00:47:45,920
Speaker 5: she actually probably would have won even given the massive

907
00:47:45,920 --> 00:47:50,120
Speaker 5: amount of crypto and APAC money being spent. As we

908
00:47:50,239 --> 00:47:54,000
Speaker 5: covered on breaking Points, Fouchet throughout the last couple of

909
00:47:54,080 --> 00:47:58,919
Speaker 5: years or has kind of turned against Israel. She's made

910
00:47:58,960 --> 00:48:03,040
Speaker 5: some critical comments and an interesting way and in the

911
00:48:03,080 --> 00:48:05,680
Speaker 5: back of her mind, and I was assumed, but definitely

912
00:48:05,719 --> 00:48:06,919
Speaker 5: in the back of my mind as she was doing

913
00:48:06,960 --> 00:48:10,040
Speaker 5: I was like, oh, I bet she assumes that it

914
00:48:10,080 --> 00:48:13,480
Speaker 5: is going to launch another challenge to her and sees

915
00:48:13,560 --> 00:48:17,840
Speaker 5: this as a massive political vulnerability because there's just so

916
00:48:17,920 --> 00:48:22,400
Speaker 5: much money on the table and either you guys can respond,

917
00:48:22,440 --> 00:48:25,560
Speaker 5: but while you do, I'll just put up this DMFI

918
00:48:26,400 --> 00:48:30,920
Speaker 5: put out yesterday. It's list of dozens of endorsements of

919
00:48:31,680 --> 00:48:35,879
Speaker 5: Democrats across the country, and Fouchet was not on there,

920
00:48:36,200 --> 00:48:39,560
Speaker 5: which is which is quite interesting because it either means

921
00:48:40,640 --> 00:48:45,680
Speaker 5: they're so frustrated that she distanced herself from them, you know,

922
00:48:45,760 --> 00:48:52,359
Speaker 5: anticipating this challenge, or they recognize that even rebranded as DMFI,

923
00:48:53,040 --> 00:48:56,120
Speaker 5: this pro Israel money is just too damaging in a

924
00:48:56,320 --> 00:48:58,440
Speaker 5: democratic primary to be public about.

925
00:49:00,200 --> 00:49:03,360
Speaker 12: Yeah, I mean, I think Valor fusci Is is someone

926
00:49:03,560 --> 00:49:07,000
Speaker 12: who I have no idea.

927
00:49:07,719 --> 00:49:09,080
Speaker 3: I actually learned this recently.

928
00:49:09,080 --> 00:49:11,920
Speaker 4: I think it is Fushi. I used to say fouche also,

929
00:49:12,560 --> 00:49:13,600
Speaker 4: but I if.

930
00:49:13,520 --> 00:49:14,600
Speaker 3: Well one of us is correct.

931
00:49:14,800 --> 00:49:16,480
Speaker 6: When Crystal said fush, I was like, that might actually

932
00:49:16,480 --> 00:49:16,799
Speaker 6: be right.

933
00:49:18,080 --> 00:49:19,800
Speaker 3: I just have only ever read it.

934
00:49:19,760 --> 00:49:21,000
Speaker 6: So I'm.

935
00:49:22,080 --> 00:49:24,000
Speaker 12: Yeah, I was actually corrected on it by someone from

936
00:49:24,040 --> 00:49:26,520
Speaker 12: North Carolina recently, so I'll take that as as gospel.

937
00:49:26,600 --> 00:49:30,200
Speaker 12: But I you know this is this isn't another interesting

938
00:49:30,200 --> 00:49:33,600
Speaker 12: case because you know, what we see happening with her,

939
00:49:33,640 --> 00:49:36,600
Speaker 12: I think is is representative of the work that we're

940
00:49:36,640 --> 00:49:40,640
Speaker 12: trying to achieve here. We want politicians to change their positions.

941
00:49:40,640 --> 00:49:43,720
Speaker 12: We want them to recognize that they are are creating

942
00:49:43,760 --> 00:49:46,960
Speaker 12: a political liability for themselves by by working with a

943
00:49:47,040 --> 00:49:50,120
Speaker 12: PACK and d M F I and so I. In

944
00:49:50,160 --> 00:49:52,160
Speaker 12: one sense, it's hard to know because I'm not inside

945
00:49:52,160 --> 00:49:55,120
Speaker 12: somebody's head, so I don't know exactly how genuine her

946
00:49:55,200 --> 00:49:58,000
Speaker 12: her shift is. But I would say that, paired with

947
00:49:58,080 --> 00:50:04,920
Speaker 12: her somewhat critical comments of the genocide in Gaza, I

948
00:50:04,960 --> 00:50:09,480
Speaker 12: think it does seem to be something of a genuine

949
00:50:10,120 --> 00:50:14,120
Speaker 12: change in her position. And to that, I'll say I've

950
00:50:14,160 --> 00:50:19,240
Speaker 12: spent a lot of twenty twenty five feeling, on one hand,

951
00:50:19,760 --> 00:50:23,960
Speaker 12: very like immensely relieved to see such a shift in

952
00:50:24,040 --> 00:50:26,399
Speaker 12: a lot of politicians and public figures and how they

953
00:50:27,560 --> 00:50:30,960
Speaker 12: view what's happening in Gaza and our role and our

954
00:50:31,040 --> 00:50:35,279
Speaker 12: complicity in it. But on the other hand, it's so

955
00:50:35,320 --> 00:50:38,440
Speaker 12: frustrating because a lot of people had to die for

956
00:50:38,480 --> 00:50:41,799
Speaker 12: you to learn that lesson, and it just feels like

957
00:50:42,480 --> 00:50:44,600
Speaker 12: she's a little late to the game. Like, I welcome

958
00:50:44,680 --> 00:50:48,160
Speaker 12: the change. I hope it's genuine. I feel that it's genuine.

959
00:50:48,360 --> 00:50:51,799
Speaker 12: You know, time will tell, but you know, if I

960
00:50:51,840 --> 00:50:54,719
Speaker 12: have to choose between someone who was late to the

961
00:50:54,719 --> 00:50:58,120
Speaker 12: game in that way on such a life or death matter,

962
00:50:59,200 --> 00:51:01,839
Speaker 12: I'll take the person who was on the right side

963
00:51:01,840 --> 00:51:02,359
Speaker 12: the whole time.

964
00:51:05,160 --> 00:51:06,680
Speaker 2: And what are some of the other There were a

965
00:51:06,719 --> 00:51:08,960
Speaker 2: couple of other races that you guys had sent me

966
00:51:09,000 --> 00:51:11,080
Speaker 2: that were ones that I was less familiar with. One

967
00:51:11,160 --> 00:51:14,520
Speaker 2: is the congressional race that now Colin Alred has jumped

968
00:51:14,560 --> 00:51:18,560
Speaker 2: into in Texas after he withdrew from the Senate race.

969
00:51:18,719 --> 00:51:20,120
Speaker 2: Talk about a few of the races that are a

970
00:51:20,120 --> 00:51:21,880
Speaker 2: little bit more under the radar for people.

971
00:51:22,640 --> 00:51:26,480
Speaker 10: Yeah, So now down in Texas, in the newly redistricted

972
00:51:26,520 --> 00:51:30,120
Speaker 10: thirty third district, there's a candidate that were supporting named

973
00:51:30,200 --> 00:51:35,000
Speaker 10: Zishan Hafeez. He is going to be running against in

974
00:51:35,080 --> 00:51:38,200
Speaker 10: the primary Colin Alred, who just dropped out of the

975
00:51:38,200 --> 00:51:41,360
Speaker 10: Texas Senate race to go run for a seat in

976
00:51:41,400 --> 00:51:46,479
Speaker 10: Congress in the House, and also Representative Julie Johnson, who's

977
00:51:46,520 --> 00:51:49,319
Speaker 10: currently representing the thirty second district, is going to be

978
00:51:49,600 --> 00:51:52,640
Speaker 10: campaigning in the thirty third district for twenty twenty six.

979
00:51:54,120 --> 00:51:58,400
Speaker 10: Julie Johnson is an active APAC backed Rep. She's only

980
00:51:58,440 --> 00:52:00,799
Speaker 10: taken in a little over forty thousand dollars from the

981
00:52:00,840 --> 00:52:05,240
Speaker 10: Israel lobby, but she votes in lockstep with them. Colin

982
00:52:05,320 --> 00:52:09,240
Speaker 10: Alred has accepted over six hundred and forty six thousand

983
00:52:09,320 --> 00:52:12,480
Speaker 10: dollars from pro Israel groups including APAC and DMFI in

984
00:52:12,520 --> 00:52:16,400
Speaker 10: the past, although it seems he did stop taking APAC

985
00:52:16,440 --> 00:52:20,600
Speaker 10: and DMFI money after the twenty twenty two cycle, but

986
00:52:20,680 --> 00:52:23,640
Speaker 10: again looking at his voting record, he was a pretty

987
00:52:23,680 --> 00:52:27,560
Speaker 10: reliable pro Israel vote in the House. So in this race,

988
00:52:27,600 --> 00:52:31,200
Speaker 10: we are supporting Zishan Hafiz. He's committed to rejecting APAK

989
00:52:31,239 --> 00:52:34,880
Speaker 10: and the Israel Lobby outright, and he's calling for overturning

990
00:52:34,920 --> 00:52:37,719
Speaker 10: Citizens United to get big money out of our politics.

991
00:52:38,800 --> 00:52:41,480
Speaker 10: He's never taken any corporate money. This is something that

992
00:52:41,520 --> 00:52:44,759
Speaker 10: he's made really foundational to in a central plank of

993
00:52:44,800 --> 00:52:47,160
Speaker 10: his campaign. And these are the kind of candidates that

994
00:52:47,160 --> 00:52:49,279
Speaker 10: we're looking to get involved with who really have the

995
00:52:49,440 --> 00:52:52,680
Speaker 10: backbone to stand up call of genocide to genocide and

996
00:52:54,880 --> 00:52:57,240
Speaker 10: do what they can in their capacity as a federal

997
00:52:57,280 --> 00:53:01,160
Speaker 10: representative to stop our complicity in this genocide.

998
00:53:02,200 --> 00:53:04,279
Speaker 2: Yeah, that sounds like one where there's a very very

999
00:53:04,280 --> 00:53:05,240
Speaker 2: clear divide there.

1000
00:53:06,239 --> 00:53:07,719
Speaker 12: And if I could just jump in really quickly on

1001
00:53:07,840 --> 00:53:09,680
Speaker 12: both of these two races that we just talked about,

1002
00:53:10,040 --> 00:53:13,920
Speaker 12: you know, the North Carolina four race and the Texas

1003
00:53:13,960 --> 00:53:16,719
Speaker 12: thirty three races are two primaries are coming up very soon.

1004
00:53:17,640 --> 00:53:20,840
Speaker 12: March third is the primary for both both of these races.

1005
00:53:21,640 --> 00:53:23,800
Speaker 12: We are less than ninety days away, and we're also

1006
00:53:24,520 --> 00:53:27,160
Speaker 12: hit sound like fundraiser, but I am one. We are

1007
00:53:27,239 --> 00:53:28,960
Speaker 12: coming up on the end of quarter. So you know,

1008
00:53:29,000 --> 00:53:31,000
Speaker 12: if you're if you're sitting at home and you're looking

1009
00:53:31,040 --> 00:53:33,160
Speaker 12: for Canadas to support, like, this is the moment to

1010
00:53:33,200 --> 00:53:35,319
Speaker 12: pay attention. This is the moment to think about these

1011
00:53:35,400 --> 00:53:37,799
Speaker 12: races because these are this is the point at which

1012
00:53:37,840 --> 00:53:39,719
Speaker 12: we decide what the future of the Democratic Party is

1013
00:53:39,719 --> 00:53:41,880
Speaker 12: going to look like no matter what Ken Martin decides

1014
00:53:41,920 --> 00:53:43,799
Speaker 12: to bury and.

1015
00:53:43,840 --> 00:53:46,480
Speaker 2: Corey tell me a little bit, or Casey whoever's you know,

1016
00:53:46,600 --> 00:53:49,120
Speaker 2: wants to jump on it about California seven and may

1017
00:53:49,239 --> 00:53:50,839
Speaker 2: Vang go for that one?

1018
00:53:50,880 --> 00:53:55,719
Speaker 10: Casey, Yeah, So my Vang is challenging APAC backed Rep.

1019
00:53:55,800 --> 00:53:59,200
Speaker 10: Doris Matsui. Doris Matsui is eighty one years old and

1020
00:53:59,239 --> 00:54:02,200
Speaker 10: she's running for real election. She actually filled the seat

1021
00:54:02,320 --> 00:54:06,080
Speaker 10: of her late husband, Bob Matsui, who died in Congress

1022
00:54:06,120 --> 00:54:10,400
Speaker 10: back in two thousand and five. Doris Matsui is another

1023
00:54:10,480 --> 00:54:13,920
Speaker 10: reliable pro is reel vote. She consistently ranks among the

1024
00:54:13,960 --> 00:54:17,040
Speaker 10: most pro is Real votes in the Democratic Caucus and

1025
00:54:17,960 --> 00:54:21,920
Speaker 10: she sends married a billionaire. So she is just really

1026
00:54:21,960 --> 00:54:24,160
Speaker 10: out of touch with what we need in these times.

1027
00:54:24,200 --> 00:54:27,799
Speaker 10: She's not bringing the fight to all the corruption and

1028
00:54:27,880 --> 00:54:30,399
Speaker 10: the madness that we see going on in Washington, and

1029
00:54:30,680 --> 00:54:31,320
Speaker 10: my Vang.

1030
00:54:31,200 --> 00:54:31,880
Speaker 11: Has stepped up.

1031
00:54:31,960 --> 00:54:35,320
Speaker 10: She's a I believe she's a city council member currently,

1032
00:54:35,600 --> 00:54:39,400
Speaker 10: and she is outright rejecting APEC in the Israel lobby

1033
00:54:39,520 --> 00:54:43,319
Speaker 10: corporate money, and she calls a genocide a genocide. She's

1034
00:54:43,360 --> 00:54:47,080
Speaker 10: really bringing the pressure to Doris Matsui, who has previously

1035
00:54:47,120 --> 00:54:48,759
Speaker 10: not spent a lot of time in the district. You'll

1036
00:54:48,760 --> 00:54:51,399
Speaker 10: see her making her campaign stops now. You can tell

1037
00:54:51,440 --> 00:54:55,560
Speaker 10: she's feeling the pressure. And this kind of young, exciting

1038
00:54:55,600 --> 00:54:58,320
Speaker 10: candidate is another one that we're thrilled to see stepping

1039
00:54:58,360 --> 00:54:59,040
Speaker 10: up into the ring.

1040
00:55:00,040 --> 00:55:01,719
Speaker 2: And then the last one you guys had sent me

1041
00:55:02,239 --> 00:55:04,400
Speaker 2: and then we had some sort of broader, more general questions.

1042
00:55:04,400 --> 00:55:07,799
Speaker 2: But was Cameron CAASKI who, Yeah, Kyle and actually just

1043
00:55:07,800 --> 00:55:10,759
Speaker 2: interviewed him last week. He's running in the seat in

1044
00:55:10,840 --> 00:55:14,440
Speaker 2: New York that's opened up by Jerry Nadler's retirement. Very

1045
00:55:14,480 --> 00:55:17,160
Speaker 2: crowded primary. A bunch of people jumped into that one.

1046
00:55:17,680 --> 00:55:20,240
Speaker 2: What makes Cameron stand out to you, guys?

1047
00:55:21,600 --> 00:55:26,000
Speaker 12: Yeah, so Cameron is I mean, for one, I've followed

1048
00:55:26,040 --> 00:55:29,799
Speaker 12: his activism since the days of Parkland, and I've just

1049
00:55:29,840 --> 00:55:32,799
Speaker 12: been so impressed with him as an activist and the

1050
00:55:32,840 --> 00:55:36,520
Speaker 12: way that he consistently speaks so clearly on issues. He's

1051
00:55:36,560 --> 00:55:38,080
Speaker 12: not afraid to take a stand, and he has certainly

1052
00:55:38,160 --> 00:55:41,360
Speaker 12: demonstrated that in the short time that he's been running

1053
00:55:41,360 --> 00:55:45,240
Speaker 12: this campaign. There's no other candidate in this race currently

1054
00:55:45,480 --> 00:55:47,520
Speaker 12: that as you said, it's a very crowded primary, and

1055
00:55:47,560 --> 00:55:50,880
Speaker 12: yet not a single one of them in a district

1056
00:55:50,960 --> 00:55:55,120
Speaker 12: that heavily favored Zoran in the recent mayor election, not

1057
00:55:55,200 --> 00:55:57,040
Speaker 12: a single one of them has come out very clearly

1058
00:55:57,040 --> 00:56:00,439
Speaker 12: and made a stand about Israel committing a genocide, calling

1059
00:56:00,440 --> 00:56:03,560
Speaker 12: for an arms embargo, or rejecting support from APAC and

1060
00:56:03,600 --> 00:56:06,400
Speaker 12: the Israel lobby just generally. So he is the most

1061
00:56:06,480 --> 00:56:07,680
Speaker 12: clear on this issue.

1062
00:56:07,719 --> 00:56:09,319
Speaker 3: And he I think he.

1063
00:56:09,360 --> 00:56:12,400
Speaker 12: Just represents such an important voice that I think would

1064
00:56:12,520 --> 00:56:14,839
Speaker 12: would be a real game changer in Congress.

1065
00:56:15,360 --> 00:56:17,520
Speaker 2: Yeah, and for people who don't know he was there,

1066
00:56:17,520 --> 00:56:20,680
Speaker 2: he survived the Parkland shooting. You know, he's seventeen years old.

1067
00:56:20,719 --> 00:56:23,680
Speaker 2: He became an activist. He talks about, you know, starting

1068
00:56:23,719 --> 00:56:27,879
Speaker 2: that organization sitting in his bedroom, and also has really

1069
00:56:27,920 --> 00:56:30,240
Speaker 2: been through the ring. Are you know, the Alex Jones

1070
00:56:30,239 --> 00:56:33,160
Speaker 2: and these people saying he's a crisis actor and all that.

1071
00:56:33,280 --> 00:56:34,920
Speaker 2: You know, I don't know if it was Alex Jones specific,

1072
00:56:34,960 --> 00:56:37,320
Speaker 2: I shouldn't say that, but there were right wing activists

1073
00:56:37,360 --> 00:56:39,960
Speaker 2: saying that he was a crisis actor. And so he

1074
00:56:40,080 --> 00:56:43,400
Speaker 2: has really been through the fire in terms of political activism,

1075
00:56:43,680 --> 00:56:45,879
Speaker 2: and you know, I was really impressed with him when

1076
00:56:45,880 --> 00:56:47,640
Speaker 2: I spoke with him last week as well.

1077
00:56:48,440 --> 00:56:49,520
Speaker 3: How much do you so?

1078
00:56:49,880 --> 00:56:51,440
Speaker 2: One of the questions I had for you guys that

1079
00:56:51,440 --> 00:56:52,920
Speaker 2: I think we touched on before and you've kind of

1080
00:56:52,960 --> 00:56:56,040
Speaker 2: touched on here as well, is politicians are starting to

1081
00:56:56,040 --> 00:56:58,359
Speaker 2: get the memo of like, oh, I should say I'm

1082
00:56:58,360 --> 00:57:01,600
Speaker 2: not I'm not going to take ape. You saw Gavin Newsom,

1083
00:57:02,040 --> 00:57:04,760
Speaker 2: after initially just being like that's interesting, that's an interesting

1084
00:57:04,840 --> 00:57:07,279
Speaker 2: question saying no, I'm not going to take any APAC money.

1085
00:57:07,320 --> 00:57:09,440
Speaker 2: Although Ryan feels like he left himself a little wiggle

1086
00:57:09,520 --> 00:57:11,840
Speaker 2: room there, but in any case, he clearly wanted to give.

1087
00:57:11,719 --> 00:57:14,120
Speaker 3: The impression exactly that was his answer.

1088
00:57:14,840 --> 00:57:17,800
Speaker 2: Milton came out, oh no, even after he had asked

1089
00:57:17,840 --> 00:57:18,920
Speaker 2: a pack to support him.

1090
00:57:18,960 --> 00:57:20,440
Speaker 3: He's like, oh, I don't want anything to do with

1091
00:57:20,480 --> 00:57:21,040
Speaker 3: these people.

1092
00:57:21,560 --> 00:57:24,880
Speaker 2: So what are the follow up questions that people should

1093
00:57:24,880 --> 00:57:28,240
Speaker 2: be asking as it increasingly becomes clear that this is

1094
00:57:28,280 --> 00:57:31,280
Speaker 2: a politically toxic position. But you know you're going to

1095
00:57:31,360 --> 00:57:33,640
Speaker 2: have politicians who want to have their cake and eat

1096
00:57:33,680 --> 00:57:36,560
Speaker 2: it too, want a signal to the base like oh, yeah, totally,

1097
00:57:36,600 --> 00:57:38,360
Speaker 2: I'm with you guys. I'm against I'm not going to

1098
00:57:38,400 --> 00:57:40,760
Speaker 2: say it's a genocide. But I'm against bad things, but

1099
00:57:40,840 --> 00:57:42,760
Speaker 2: at the same time, they still want to be able

1100
00:57:42,800 --> 00:57:45,840
Speaker 2: to get that money and that support from the Israel lobby.

1101
00:57:45,960 --> 00:57:47,880
Speaker 2: So what are the follow up questions that people should

1102
00:57:47,880 --> 00:57:48,360
Speaker 2: be asking?

1103
00:57:48,840 --> 00:57:50,480
Speaker 4: And can I just tack on to that quickly to

1104
00:57:50,520 --> 00:57:54,400
Speaker 4: ask are there new other than like Newsome doing? I

1105
00:57:54,440 --> 00:57:56,560
Speaker 4: don't know if anyone could pull off what Newsom did

1106
00:57:56,600 --> 00:57:59,400
Speaker 4: quite like Newsom did, But are there new lines that

1107
00:57:59,480 --> 00:58:03,880
Speaker 4: we're seeing be rolled out kind of to either mask

1108
00:58:04,040 --> 00:58:06,640
Speaker 4: or hedge. Is there anything you people should be paying

1109
00:58:06,640 --> 00:58:07,960
Speaker 4: attention to specifically? Yeah?

1110
00:58:08,000 --> 00:58:12,880
Speaker 3: Great question, Yeah, I think Okay, So do you want

1111
00:58:12,920 --> 00:58:13,360
Speaker 3: to go first.

1112
00:58:13,320 --> 00:58:15,680
Speaker 10: Or I can you just I'll jump on Emily's point

1113
00:58:15,720 --> 00:58:17,360
Speaker 10: real real quick there, just while I have it in

1114
00:58:17,400 --> 00:58:21,800
Speaker 10: my mind, I would say standing against sending offensive weapons

1115
00:58:21,840 --> 00:58:26,920
Speaker 10: to Israel is a big one for us. We're that's

1116
00:58:26,960 --> 00:58:29,640
Speaker 10: that is what we see as hedging. A weapon is

1117
00:58:29,640 --> 00:58:31,720
Speaker 10: a weapon, a bomb is a bomb. The more bombs

1118
00:58:31,720 --> 00:58:35,720
Speaker 10: that you send to Israel, the more for self defense,

1119
00:58:35,800 --> 00:58:38,840
Speaker 10: the more bombs they have to use for offense. So

1120
00:58:39,360 --> 00:58:41,560
Speaker 10: that's definitely a line that we see as kind of

1121
00:58:41,600 --> 00:58:44,320
Speaker 10: a red flag when we're assessing candidates, and we will

1122
00:58:44,640 --> 00:58:47,920
Speaker 10: probe to find out more Corey, did you want to

1123
00:58:47,960 --> 00:58:48,320
Speaker 10: jump on that.

1124
00:58:48,320 --> 00:58:50,439
Speaker 3: Up, Yeah, I think just to add on to that point.

1125
00:58:50,520 --> 00:58:53,080
Speaker 12: I mean, it's like Rashida Siliev has talked about this,

1126
00:58:53,880 --> 00:58:56,000
Speaker 12: you know, she has said the words a weapon is

1127
00:58:56,000 --> 00:58:59,560
Speaker 12: a weapon, and others have made the point that even

1128
00:58:59,680 --> 00:59:02,280
Speaker 12: if we even if we take at face value, even

1129
00:59:02,320 --> 00:59:04,960
Speaker 12: if we just accepts as truth, what is stated that

1130
00:59:05,360 --> 00:59:07,320
Speaker 12: the weapons that we provide for what are supposed to

1131
00:59:07,320 --> 00:59:11,080
Speaker 12: be defensive purposes are only used in that capacity. Well,

1132
00:59:11,080 --> 00:59:13,920
Speaker 12: certainly it frees up military resources for them to be

1133
00:59:13,960 --> 00:59:17,200
Speaker 12: able to focus on not only committing genocide and Gaza,

1134
00:59:17,240 --> 00:59:21,680
Speaker 12: but also attacking you know, their neighbors and and creating

1135
00:59:22,000 --> 00:59:25,280
Speaker 12: you know, hostilities in all parts of the region. So

1136
00:59:25,760 --> 00:59:28,600
Speaker 12: I think the only thing that sends a message because

1137
00:59:28,960 --> 00:59:31,880
Speaker 12: so much of our of so much of the support

1138
00:59:31,960 --> 00:59:37,040
Speaker 12: that goes into the the Israeli military comes from US,

1139
00:59:37,800 --> 00:59:40,080
Speaker 12: US aid, the only way to send a message that

1140
00:59:40,360 --> 00:59:42,720
Speaker 12: we are no longer on board with with what you're

1141
00:59:42,760 --> 00:59:45,320
Speaker 12: doing is to say you're cut off, and and that's

1142
00:59:45,360 --> 00:59:47,280
Speaker 12: that's the line that needs to be drawn. So we're

1143
00:59:47,280 --> 00:59:49,480
Speaker 12: not going to hedge and split hairs on what's an

1144
00:59:49,480 --> 00:59:53,200
Speaker 12: offensive and what's a defensive weapon, either when there is

1145
00:59:53,360 --> 00:59:56,120
Speaker 12: there There are very clear US laws that state that

1146
00:59:56,520 --> 01:00:00,480
Speaker 12: if that if someone is receiving US military aid and

1147
01:00:00,520 --> 01:00:04,440
Speaker 12: they are committing war crimes, which Israel very clearly has

1148
01:00:04,840 --> 01:00:07,840
Speaker 12: in multiple ways, then we are supposed to cut off

1149
01:00:07,960 --> 01:00:08,880
Speaker 12: the supply of aid.

1150
01:00:09,280 --> 01:00:09,920
Speaker 4: That that is.

1151
01:00:10,360 --> 01:00:13,160
Speaker 12: That's that's our own laws that we're violating when we,

1152
01:00:13,520 --> 01:00:15,920
Speaker 12: you know, try to split hairs and say what's defensive

1153
01:00:15,960 --> 01:00:16,800
Speaker 12: and what's offensive.

1154
01:00:20,240 --> 01:00:23,280
Speaker 5: How do you guys count the money that shows up

1155
01:00:24,200 --> 01:00:28,120
Speaker 5: when it says like forty thousand dollars from pro Israel groups?

1156
01:00:28,120 --> 01:00:33,280
Speaker 6: Like, is that a pack? So it's going to be

1157
01:00:33,520 --> 01:00:34,160
Speaker 6: CANVM fire?

1158
01:00:34,240 --> 01:00:36,280
Speaker 5: Is it also people who have previously given to a

1159
01:00:36,360 --> 01:00:37,840
Speaker 5: pack Like what's the So.

1160
01:00:38,520 --> 01:00:42,720
Speaker 10: Up until now it has been money from pro Israel,

1161
01:00:43,120 --> 01:00:46,480
Speaker 10: any pro Israel pack. So there's like a whole slate

1162
01:00:46,640 --> 01:00:48,840
Speaker 10: beyond a pack and d M five of these smaller

1163
01:00:48,880 --> 01:00:52,640
Speaker 10: groups that within the Israel lobby ecosystem. We've got a

1164
01:00:52,640 --> 01:00:56,480
Speaker 10: full spreadsheet of them on our website. But basically we

1165
01:00:56,640 --> 01:01:00,360
Speaker 10: take those pack IDs and then just we run an fecort,

1166
01:01:00,400 --> 01:01:03,160
Speaker 10: So we pull it from the Federal Election Commission and

1167
01:01:03,240 --> 01:01:05,680
Speaker 10: it just aggregates the data of how much has gone

1168
01:01:05,680 --> 01:01:08,600
Speaker 10: through the pack to the candidate. That can also include

1169
01:01:08,600 --> 01:01:13,360
Speaker 10: like conduit contributions, so like a PAC will bundle all

1170
01:01:13,400 --> 01:01:18,080
Speaker 10: the donor money through their website or through their portal

1171
01:01:18,080 --> 01:01:21,760
Speaker 10: and them to the candidate. So that's where those numbers.

1172
01:01:21,760 --> 01:01:24,480
Speaker 10: We also track the independent expenditures, So if a pack

1173
01:01:24,600 --> 01:01:28,760
Speaker 10: or any of their allies are spending independently to run

1174
01:01:28,800 --> 01:01:32,720
Speaker 10: ads or any other campaign activity on behalf of the

1175
01:01:32,760 --> 01:01:35,720
Speaker 10: candidate or to attack their opponent, will also add that

1176
01:01:35,760 --> 01:01:37,240
Speaker 10: into the candidate's lobby total.

1177
01:01:37,680 --> 01:01:39,080
Speaker 12: Yeah, that has a lot to do with why Wesley

1178
01:01:39,080 --> 01:01:41,960
Speaker 12: Bells and George Latimer's totals are so high because a

1179
01:01:41,960 --> 01:01:43,440
Speaker 12: lot of them was the independent expenditure.

1180
01:01:43,480 --> 01:01:45,560
Speaker 3: Oh my gosh, they hope we are money come in

1181
01:01:45,600 --> 01:01:48,000
Speaker 3: for them. But we are expanding on that.

1182
01:01:48,200 --> 01:01:51,800
Speaker 12: So as I think we mentioned the last time we

1183
01:01:52,240 --> 01:01:55,240
Speaker 12: saw you guys that you know, a pack is starting

1184
01:01:55,240 --> 01:01:55,920
Speaker 12: to change tactics.

1185
01:01:55,960 --> 01:01:57,160
Speaker 3: They've always kind of done this.

1186
01:01:57,240 --> 01:02:01,360
Speaker 12: They've always created these these like seek donation portals where

1187
01:02:01,800 --> 01:02:04,360
Speaker 12: where you know, donors can just go straight they get

1188
01:02:04,360 --> 01:02:07,960
Speaker 12: a you know, a link straight to a person's donation

1189
01:02:08,000 --> 01:02:10,000
Speaker 12: page where they can donate without having to like have

1190
01:02:10,080 --> 01:02:12,800
Speaker 12: the label a pack attached to it. But we see,

1191
01:02:13,160 --> 01:02:15,680
Speaker 12: you know there's been reporting recently about how they are

1192
01:02:15,720 --> 01:02:18,560
Speaker 12: increasing use of that tactic, and we expect that they will.

1193
01:02:18,640 --> 01:02:20,800
Speaker 12: And so one of the things that we're doing with

1194
01:02:21,160 --> 01:02:23,360
Speaker 12: as we ramp up and we're we're working to expand

1195
01:02:23,400 --> 01:02:25,760
Speaker 12: our teams, we're going to be expanding our data capabilities

1196
01:02:26,080 --> 01:02:29,360
Speaker 12: so that we can more carefully track these large donors

1197
01:02:29,400 --> 01:02:32,120
Speaker 12: that are you know, very closely affiliated with a pack.

1198
01:02:32,160 --> 01:02:35,960
Speaker 12: They're consistent APACK donors, and they're also funneling like you'll

1199
01:02:35,960 --> 01:02:38,760
Speaker 12: see like big money drops that happen, you know, in

1200
01:02:38,800 --> 01:02:40,960
Speaker 12: a coordinated fashion, and so we want to be able

1201
01:02:40,960 --> 01:02:42,760
Speaker 12: to track and report on that more accurately so that

1202
01:02:42,760 --> 01:02:47,200
Speaker 12: we can reflect the genuine total that's coming into these

1203
01:02:47,280 --> 01:02:48,000
Speaker 12: these reports.

1204
01:02:48,880 --> 01:02:51,440
Speaker 5: Yeah, you would think it would be something that that

1205
01:02:51,600 --> 01:02:54,800
Speaker 5: ll MS could even help with, you know. In other words,

1206
01:02:54,840 --> 01:02:57,080
Speaker 5: if you've got let's say you've got a donor who

1207
01:02:57,160 --> 01:03:00,360
Speaker 5: has given you know, more than five thousand dollars over

1208
01:03:00,400 --> 01:03:03,520
Speaker 5: the last several cycles to a to a pack or

1209
01:03:03,560 --> 01:03:06,520
Speaker 5: to d MFI, so you know that that's like, that's

1210
01:03:06,520 --> 01:03:09,640
Speaker 5: like an APAC donor, and then you see them maxing

1211
01:03:09,680 --> 01:03:14,439
Speaker 5: out to a candidate, and then on that same day

1212
01:03:14,680 --> 01:03:17,120
Speaker 5: you see ten other people max out to that candidate

1213
01:03:18,680 --> 01:03:21,760
Speaker 5: like right, you couldn't. You couldn't say that's one hundred

1214
01:03:21,760 --> 01:03:23,760
Speaker 5: percent a PAC money, but you could be like this

1215
01:03:23,840 --> 01:03:27,880
Speaker 5: is yeah, exactly, It's very likely this was this was coordinated.

1216
01:03:28,280 --> 01:03:30,720
Speaker 5: This was either a fundraiser or an email that went

1217
01:03:30,760 --> 01:03:31,560
Speaker 5: out to this group.

1218
01:03:31,880 --> 01:03:34,400
Speaker 3: Yeah, yes, there's the hallmarks.

1219
01:03:33,800 --> 01:03:40,680
Speaker 6: Of yes, yes, there's the hallmarks of real information.

1220
01:03:41,240 --> 01:03:42,919
Speaker 2: This is actually a good segue to ask you, guys,

1221
01:03:42,920 --> 01:03:45,560
Speaker 2: how can people support your work because you are continuing

1222
01:03:45,680 --> 01:03:49,080
Speaker 2: to expand and as you said, this is this is

1223
01:03:49,160 --> 01:03:52,400
Speaker 2: really you know, crunch time in terms of these democratic primaries,

1224
01:03:52,400 --> 01:03:54,640
Speaker 2: but also, as I said, it's a relevant issue in

1225
01:03:54,640 --> 01:03:57,439
Speaker 2: increasing on the Republican side as well.

1226
01:03:57,640 --> 01:03:58,000
Speaker 4: Yeah.

1227
01:03:58,040 --> 01:04:00,560
Speaker 12: So, for example, if you are interested in supporting any

1228
01:04:00,600 --> 01:04:03,280
Speaker 12: of the races that we just talked about and supporting

1229
01:04:03,320 --> 01:04:06,160
Speaker 12: our work in amplifying those races, a great place to

1230
01:04:06,200 --> 01:04:10,800
Speaker 12: go is to TRACKAPAC dot com slash endorsements. That will

1231
01:04:10,800 --> 01:04:13,400
Speaker 12: take you to page that has all of our endorsed

1232
01:04:13,400 --> 01:04:16,720
Speaker 12: candidates on it that you that we just discussed, and

1233
01:04:17,600 --> 01:04:20,120
Speaker 12: each one of them links to a tandem donate page

1234
01:04:20,120 --> 01:04:24,480
Speaker 12: where you can split a contribution between between our organization

1235
01:04:24,680 --> 01:04:28,880
Speaker 12: and that campaign directly. Those tandem forms really are something

1236
01:04:28,960 --> 01:04:30,480
Speaker 12: like they can.

1237
01:04:30,480 --> 01:04:30,920
Speaker 3: Raise a lot.

1238
01:04:30,920 --> 01:04:32,920
Speaker 12: I think we raised what was it over twenty thousand

1239
01:04:32,920 --> 01:04:35,400
Speaker 12: dollars for aften Bay on our Herd tandem form just

1240
01:04:35,400 --> 01:04:38,920
Speaker 12: in the last few weeks lead up to that special election.

1241
01:04:39,920 --> 01:04:42,240
Speaker 12: So you know this, this is a really powerful tool

1242
01:04:42,280 --> 01:04:45,000
Speaker 12: to amplify the grassroots effect. And it not only puts

1243
01:04:45,040 --> 01:04:48,600
Speaker 12: money directly into those campaigns that could really use those boosts,

1244
01:04:49,000 --> 01:04:52,560
Speaker 12: but it also amplifies what we're able to do in

1245
01:04:52,600 --> 01:04:54,440
Speaker 12: support of them on the IE side.

1246
01:04:55,280 --> 01:04:57,760
Speaker 5: Man, as you guys, as you guys grow, there's going

1247
01:04:57,800 --> 01:05:00,400
Speaker 5: to be more scrutiny on you. And because you guys

1248
01:05:01,120 --> 01:05:05,800
Speaker 5: are talking specifically about you know, campaign finance and and spending,

1249
01:05:07,840 --> 01:05:10,920
Speaker 5: it's it's going to be increasingly important probably to be

1250
01:05:11,440 --> 01:05:15,320
Speaker 5: way way more transparent than a normal organization is with

1251
01:05:15,360 --> 01:05:17,439
Speaker 5: the spending. So would you guys commit to some sort

1252
01:05:17,480 --> 01:05:23,200
Speaker 5: of independent audit or something that that tracks track, track

1253
01:05:23,240 --> 01:05:26,720
Speaker 5: apac so that people who are like giving money like,

1254
01:05:26,800 --> 01:05:29,360
Speaker 5: because you're going to have people in this world who

1255
01:05:29,400 --> 01:05:31,320
Speaker 5: are like, no, no, these are just grifters who are

1256
01:05:31,360 --> 01:05:35,960
Speaker 5: like cashing in because FEC reports are very confusing and

1257
01:05:36,000 --> 01:05:38,000
Speaker 5: you see money moving in and moving out and it's

1258
01:05:38,080 --> 01:05:40,680
Speaker 5: very easy for people to just screenshot and be like, hmm,

1259
01:05:41,360 --> 01:05:44,280
Speaker 5: what's going on here, and then it discredits everything that's

1260
01:05:44,320 --> 01:05:47,080
Speaker 5: going on. So have you thought about how you're going

1261
01:05:47,120 --> 01:05:52,080
Speaker 5: to use some level of transparency to counteract what is like,

1262
01:05:52,080 --> 01:05:54,200
Speaker 5: like I can guarantee that's coming if it hasn't.

1263
01:05:54,240 --> 01:05:56,440
Speaker 3: All, we're already seeing some of that.

1264
01:05:56,640 --> 01:05:58,720
Speaker 12: I mean, there's there's been some critics from the left

1265
01:05:58,720 --> 01:06:01,360
Speaker 12: that just say, oh, you're just drifting. I mean, as

1266
01:06:01,360 --> 01:06:04,000
Speaker 12: you said, the FEC reports are are out there, it's

1267
01:06:04,000 --> 01:06:07,040
Speaker 12: publicly available data. It can be hard to parse. Absolutely,

1268
01:06:07,760 --> 01:06:11,240
Speaker 12: We've always been very conservative in our spending, so like

1269
01:06:11,320 --> 01:06:14,240
Speaker 12: we've been building up our war chest to be able

1270
01:06:14,280 --> 01:06:16,480
Speaker 12: to put as much as we can. In fact, until

1271
01:06:16,600 --> 01:06:18,840
Speaker 12: very very recently, Casey and I weren't even taking a

1272
01:06:18,880 --> 01:06:22,080
Speaker 12: salary from the pack, so you know, we've been very

1273
01:06:22,080 --> 01:06:24,840
Speaker 12: conservative in that way that we just really wanted to build.

1274
01:06:24,640 --> 01:06:27,720
Speaker 3: Up our resources. I mean, in terms of transparencies.

1275
01:06:27,720 --> 01:06:29,760
Speaker 12: People can always ask us any question that they have

1276
01:06:29,880 --> 01:06:33,120
Speaker 12: about the FEC report. That's you know, I don't think

1277
01:06:33,120 --> 01:06:37,360
Speaker 12: that we've had a discussion about any specific transparency project internally.

1278
01:06:38,120 --> 01:06:40,480
Speaker 6: All right, something to think about, sure, of.

1279
01:06:40,440 --> 01:06:44,160
Speaker 2: Course, all Right, guys, Well, thank you so much for

1280
01:06:44,240 --> 01:06:46,720
Speaker 2: taking the time. I know it is hectic and crazy

1281
01:06:46,760 --> 01:06:48,960
Speaker 2: and you have a lot going on, so really appreciate

1282
01:06:48,960 --> 01:06:50,200
Speaker 2: your work and really appreciate your.

1283
01:06:50,120 --> 01:06:51,040
Speaker 3: Time with us this morning.

1284
01:06:51,720 --> 01:06:52,600
Speaker 11: Thank you so much.

1285
01:06:53,080 --> 01:06:53,960
Speaker 3: Yeah, it's our pleasure.

1286
01:06:54,720 --> 01:06:56,439
Speaker 11: Happy holidays you guys.

1287
01:06:56,440 --> 01:07:00,000
Speaker 3: Doo. That was great, thank you, thank you.

1288
01:07:00,120 --> 01:07:00,320
Speaker 4: Yeah.

1289
01:07:01,120 --> 01:07:02,920
Speaker 2: All right, guys, well let's go ahead and wrap up

1290
01:07:03,000 --> 01:07:07,080
Speaker 2: the free show here, got a bunch of interesting stuff

1291
01:07:07,120 --> 01:07:08,800
Speaker 2: we're going to get you in the premium half, in

1292
01:07:08,840 --> 01:07:15,560
Speaker 2: particular this TPUSA conference, Ben Shapiro coming it, Megan Kelly

1293
01:07:15,680 --> 01:07:19,000
Speaker 2: and Tucker Carlston and Tucker responds, and Tucker's calling out

1294
01:07:19,040 --> 01:07:22,840
Speaker 2: the islamophobe. So that's a spicy one. And Emily, you

1295
01:07:22,880 --> 01:07:25,680
Speaker 2: mentioned Erica Kirk endorsed jd Vance at this that part

1296
01:07:25,720 --> 01:07:27,280
Speaker 2: I missed actually last night.

1297
01:07:27,360 --> 01:07:28,400
Speaker 4: Yeah, it was late last night.

1298
01:07:29,240 --> 01:07:32,280
Speaker 3: So she's not on board for Trump twenty twenty eight, not.

1299
01:07:32,440 --> 01:07:34,120
Speaker 4: On board like Dershowitz.

1300
01:07:34,400 --> 01:07:36,800
Speaker 2: But also I was going to say, Mary Maddilson again

1301
01:07:36,840 --> 01:07:39,840
Speaker 2: to the anti Semitic caricature, you guys are doing yourselves

1302
01:07:39,920 --> 01:07:40,520
Speaker 2: no favors.

1303
01:07:41,560 --> 01:07:46,479
Speaker 4: And then so yeah, so the Erica Kirk endorsement wasn't

1304
01:07:46,520 --> 01:07:48,800
Speaker 4: just hurt was she said, turning point USA is going

1305
01:07:48,840 --> 01:07:51,919
Speaker 4: to work on behalf of JD. So already a lot

1306
01:07:51,920 --> 01:07:53,480
Speaker 4: of infrastructure behind him.

1307
01:07:54,160 --> 01:07:56,120
Speaker 3: Rubio Marco artist it.

1308
01:07:56,800 --> 01:07:59,080
Speaker 4: When Rubio obviously was quoted in the Vantasy Fair piece

1309
01:07:59,120 --> 01:08:01,320
Speaker 4: this week saying he's not run if JD runs. So

1310
01:08:02,120 --> 01:08:07,439
Speaker 4: Erica Kirk in that endorsement said that she said, we'll

1311
01:08:07,480 --> 01:08:11,520
Speaker 4: support my husband's friend JD vance and so it's it's

1312
01:08:11,600 --> 01:08:13,920
Speaker 4: quite an interesting, quite an interesting development.

1313
01:08:14,640 --> 01:08:17,400
Speaker 2: Yeah, especially after that that photo that people paid a

1314
01:08:17,400 --> 01:08:19,439
Speaker 2: lot of attention to with the hands and the hair

1315
01:08:19,520 --> 01:08:22,599
Speaker 2: and the hands on the hips and whatever, also makes

1316
01:08:22,640 --> 01:08:26,000
Speaker 2: it makes it noteworthy. But there's a lot of yeah,

1317
01:08:26,560 --> 01:08:28,720
Speaker 2: I mean put it, I don't know, whatever. We don't

1318
01:08:28,760 --> 01:08:30,720
Speaker 2: have to get into Erica Kirk discourse, not in the

1319
01:08:30,720 --> 01:08:33,120
Speaker 2: free half anyway. If you want more Erica Kirk discourse,

1320
01:08:33,360 --> 01:08:34,240
Speaker 2: you gotta pay for it.

1321
01:08:34,320 --> 01:08:34,599
Speaker 3: People.

1322
01:08:35,479 --> 01:08:39,040
Speaker 2: We also have The Baker wrote an interesting up ed

1323
01:08:40,160 --> 01:08:43,040
Speaker 2: about you know, what really makes you an American? Really

1324
01:08:43,080 --> 01:08:46,280
Speaker 2: pushing back against like the anti Indian hate in particular,

1325
01:08:46,320 --> 01:08:49,000
Speaker 2: but also the sort of like you know, Nick fuontezification

1326
01:08:49,120 --> 01:08:51,760
Speaker 2: of the Republican Party. Curious about you guys thoughts on

1327
01:08:51,840 --> 01:08:55,160
Speaker 2: that there was a big Compact magazine piece about the

1328
01:08:55,600 --> 01:08:59,040
Speaker 2: quote unquote lost generation of millennial men focusing on the

1329
01:08:59,120 --> 01:09:02,160
Speaker 2: media in industry during the woke era that I would

1330
01:09:02,160 --> 01:09:06,200
Speaker 2: think Ryan would have some particular insights into so bunch

1331
01:09:06,240 --> 01:09:06,920
Speaker 2: of stif.

1332
01:09:07,760 --> 01:09:09,639
Speaker 4: So there's politics behind it too.

1333
01:09:10,240 --> 01:09:13,160
Speaker 2: Ah, yes, for sure, so bunch of stuff to get

1334
01:09:13,200 --> 01:09:15,800
Speaker 2: to in the premium portion. If you guys want to

1335
01:09:15,880 --> 01:09:18,400
Speaker 2: join us over there, join us at Breakingpoints dot Com,

1336
01:09:18,400 --> 01:09:23,240
Speaker 2: become a premius subscriber. We will probably end up doing

1337
01:09:23,240 --> 01:09:25,840
Speaker 2: a breaking news segment tomorrow about whatever comes out from

1338
01:09:25,880 --> 01:09:29,160
Speaker 2: the Epstein Files. We have some great content that all

1339
01:09:29,160 --> 01:09:31,120
Speaker 2: of us put together, you know, over the past week

1340
01:09:31,200 --> 01:09:33,679
Speaker 2: or two, to be posting over the holiday break. We'll also,

1341
01:09:33,800 --> 01:09:35,760
Speaker 2: you know, if there's big breaking news, well one of

1342
01:09:35,800 --> 01:09:37,680
Speaker 2: the other of us will get it together and get

1343
01:09:37,680 --> 01:09:39,680
Speaker 2: to a camera and break down what's going on to

1344
01:09:39,800 --> 01:09:42,679
Speaker 2: the best of our ability. But outside of that, guys,

1345
01:09:43,400 --> 01:09:46,760
Speaker 2: Happy holidays to all of you. I hope everybody has

1346
01:09:46,840 --> 01:09:50,920
Speaker 2: a RESTful and nice time with family with loved ones

1347
01:09:50,960 --> 01:09:54,200
Speaker 2: and appreciates the you know, the beauties of the season.

1348
01:09:54,240 --> 01:09:56,880
Speaker 2: And certainly I appreciate Ryan and Emily appreciate you guys,

1349
01:09:56,920 --> 01:09:58,840
Speaker 2: appreciate what we're able to do here as well.

1350
01:09:59,520 --> 01:10:02,360
Speaker 4: Yeah all you guys and love all of the viewers.

1351
01:10:02,760 --> 01:10:03,680
Speaker 4: Appreciate it so much.

1352
01:10:04,600 --> 01:10:06,599
Speaker 3: All right, y'all, see you in the premium half.